finding_donors.html

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

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

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

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

*/
.highlight-base {
  color: #000;
}
.highlight-variable {
  color: #000;
}
.highlight-variable-2 {
  color: #1a1a1a;
}
.highlight-variable-3 {
  color: #333333;
}
.highlight-string {
  color: #BA2121;
}
.highlight-comment {
  color: #408080;
  font-style: italic;
}
.highlight-number {
  color: #080;
}
.highlight-atom {
  color: #88F;
}
.highlight-keyword {
  color: #008000;
  font-weight: bold;
}
.highlight-builtin {
  color: #008000;
}
.highlight-error {
  color: #f00;
}
.highlight-operator {
  color: #AA22FF;
  font-weight: bold;
}
.highlight-meta {
  color: #AA22FF;
}
/* previously not defined, copying from default codemirror */
.highlight-def {
  color: #00f;
}
.highlight-string-2 {
  color: #f50;
}
.highlight-qualifier {
  color: #555;
}
.highlight-bracket {
  color: #997;
}
.highlight-tag {
  color: #170;
}
.highlight-attribute {
  color: #00c;
}
.highlight-header {
  color: blue;
}
.highlight-quote {
  color: #090;
}
.highlight-link {
  color: #00c;
}
/* apply the same style to codemirror */
.cm-s-ipython span.cm-keyword {
  color: #008000;
  font-weight: bold;
}
.cm-s-ipython span.cm-atom {
  color: #88F;
}
.cm-s-ipython span.cm-number {
  color: #080;
}
.cm-s-ipython span.cm-def {
  color: #00f;
}
.cm-s-ipython span.cm-variable {
  color: #000;
}
.cm-s-ipython span.cm-operator {
  color: #AA22FF;
  font-weight: bold;
}
.cm-s-ipython span.cm-variable-2 {
  color: #1a1a1a;
}
.cm-s-ipython span.cm-variable-3 {
  color: #333333;
}
.cm-s-ipython span.cm-comment {
  color: #408080;
  font-style: italic;
}
.cm-s-ipython span.cm-string {
  color: #BA2121;
}
.cm-s-ipython span.cm-string-2 {
  color: #f50;
}
.cm-s-ipython span.cm-meta {
  color: #AA22FF;
}
.cm-s-ipython span.cm-qualifier {
  color: #555;
}
.cm-s-ipython span.cm-builtin {
  color: #008000;
}
.cm-s-ipython span.cm-bracket {
  color: #997;
}
.cm-s-ipython span.cm-tag {
  color: #170;
}
.cm-s-ipython span.cm-attribute {
  color: #00c;
}
.cm-s-ipython span.cm-header {
  color: blue;
}
.cm-s-ipython span.cm-quote {
  color: #090;
}
.cm-s-ipython span.cm-link {
  color: #00c;
}
.cm-s-ipython span.cm-error {
  color: #f00;
}
.cm-s-ipython span.cm-tab {
  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
  background-position: right;
  background-repeat: no-repeat;
}
div.output_wrapper {
  /* this position must be relative to enable descendents to be absolute within it */
  position: relative;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  z-index: 1;
}
/* class for the output area when it should be height-limited */
div.output_scroll {
  /* ideally, this would be max-height, but FF barfs all over that */
  height: 24em;
  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
  width: 100%;
  overflow: auto;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  display: block;
}
/* output div while it is collapsed */
div.output_collapsed {
  margin: 0px;
  padding: 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
div.out_prompt_overlay {
  height: 100%;
  padding: 0px 0.4em;
  position: absolute;
  border-radius: 2px;
}
div.out_prompt_overlay:hover {
  /* use inner shadow to get border that is computed the same on WebKit/FF */
  -webkit-box-shadow: inset 0 0 1px #000;
  box-shadow: inset 0 0 1px #000;
  background: rgba(240, 240, 240, 0.5);
}
div.output_prompt {
  color: #D84315;
}
/* This class is the outer container of all output sections. */
div.output_area {
  padding: 0px;
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.output_area .MathJax_Display {
  text-align: left !important;
}
div.output_area .rendered_html table {
  margin-left: 0;
  margin-right: 0;
}
div.output_area .rendered_html img {
  margin-left: 0;
  margin-right: 0;
}
div.output_area img,
div.output_area svg {
  max-width: 100%;
  height: auto;
}
div.output_area img.unconfined,
div.output_area svg.unconfined {
  max-width: none;
}
div.output_area .mglyph > img {
  max-width: none;
}
/* This is needed to protect the pre formating from global settings such
   as that of bootstrap */
.output {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.output_area {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
div.output_area pre {
  margin: 0;
  padding: 1px 0 1px 0;
  border: 0;
  vertical-align: baseline;
  color: black;
  background-color: transparent;
  border-radius: 0;
}
/* This class is for the output subarea inside the output_area and after
   the prompt div. */
div.output_subarea {
  overflow-x: auto;
  padding: 0.4em;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
  max-width: calc(100% - 14ex);
}
div.output_scroll div.output_subarea {
  overflow-x: visible;
}
/* The rest of the output_* classes are for special styling of the different
   output types */
/* all text output has this class: */
div.output_text {
  text-align: left;
  color: #000;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
}
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
div.output_stderr {
  background: #fdd;
  /* very light red background for stderr */
}
div.output_latex {
  text-align: left;
}
/* Empty output_javascript divs should have no height */
div.output_javascript:empty {
  padding: 0;
}
.js-error {
  color: darkred;
}
/* raw_input styles */
div.raw_input_container {
  line-height: 1.21429em;
  padding-top: 5px;
}
pre.raw_input_prompt {
  /* nothing needed here. */
}
input.raw_input {
  font-family: monospace;
  font-size: inherit;
  color: inherit;
  width: auto;
  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;
  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0em 0.25em;
  margin: 0em 0.25em;
}
input.raw_input:focus {
  box-shadow: none;
}
p.p-space {
  margin-bottom: 10px;
}
div.output_unrecognized {
  padding: 5px;
  font-weight: bold;
  color: red;
}
div.output_unrecognized a {
  color: inherit;
  text-decoration: none;
}
div.output_unrecognized a:hover {
  color: inherit;
  text-decoration: none;
}
.rendered_html {
  color: #000;
  /* any extras will just be numbers: */
}
.rendered_html em {
  font-style: italic;
}
.rendered_html strong {
  font-weight: bold;
}
.rendered_html u {
  text-decoration: underline;
}
.rendered_html :link {
  text-decoration: underline;
}
.rendered_html :visited {
  text-decoration: underline;
}
.rendered_html h1 {
  font-size: 185.7%;
  margin: 1.08em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h2 {
  font-size: 157.1%;
  margin: 1.27em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h3 {
  font-size: 128.6%;
  margin: 1.55em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h4 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h5 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h6 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h1:first-child {
  margin-top: 0.538em;
}
.rendered_html h2:first-child {
  margin-top: 0.636em;
}
.rendered_html h3:first-child {
  margin-top: 0.777em;
}
.rendered_html h4:first-child {
  margin-top: 1em;
}
.rendered_html h5:first-child {
  margin-top: 1em;
}
.rendered_html h6:first-child {
  margin-top: 1em;
}
.rendered_html ul:not(.list-inline),
.rendered_html ol:not(.list-inline) {
  padding-left: 2em;
}
.rendered_html ul {
  list-style: disc;
}
.rendered_html ul ul {
  list-style: square;
  margin-top: 0;
}
.rendered_html ul ul ul {
  list-style: circle;
}
.rendered_html ol {
  list-style: decimal;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin-top: 0;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
}
.rendered_html * + ul {
  margin-top: 1em;
}
.rendered_html * + ol {
  margin-top: 1em;
}
.rendered_html hr {
  color: black;
  background-color: black;
}
.rendered_html pre {
  margin: 1em 2em;
  padding: 0px;
  background-color: #fff;
}
.rendered_html code {
  background-color: #eff0f1;
}
.rendered_html p code {
  padding: 1px 5px;
}
.rendered_html pre code {
  background-color: #fff;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  color: #000;
  font-size: 100%;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: none;
  border-collapse: collapse;
  border-spacing: 0;
  color: black;
  font-size: 12px;
  table-layout: fixed;
}
.rendered_html thead {
  border-bottom: 1px solid black;
  vertical-align: bottom;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  text-align: right;
  vertical-align: middle;
  padding: 0.5em 0.5em;
  line-height: normal;
  white-space: normal;
  max-width: none;
  border: none;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html tbody tr:nth-child(odd) {
  background: #f5f5f5;
}
.rendered_html tbody tr:hover {
  background: rgba(66, 165, 245, 0.2);
}
.rendered_html * + table {
  margin-top: 1em;
}
.rendered_html p {
  text-align: left;
}
.rendered_html * + p {
  margin-top: 1em;
}
.rendered_html img {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.rendered_html * + img {
  margin-top: 1em;
}
.rendered_html img,
.rendered_html svg {
  max-width: 100%;
  height: auto;
}
.rendered_html img.unconfined,
.rendered_html svg.unconfined {
  max-width: none;
}
.rendered_html .alert {
  margin-bottom: initial;
}
.rendered_html * + .alert {
  margin-top: 1em;
}
[dir="rtl"] .rendered_html p {
  text-align: right;
}
div.text_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.text_cell > div.prompt {
    display: none;
  }
}
div.text_cell_render {
  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
  outline: none;
  resize: none;
  width: inherit;
  border-style: none;
  padding: 0.5em 0.5em 0.5em 0.4em;
  color: #000;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
a.anchor-link:link {
  text-decoration: none;
  padding: 0px 20px;
  visibility: hidden;
}
h1:hover .anchor-link,
h2:hover .anchor-link,
h3:hover .anchor-link,
h4:hover .anchor-link,
h5:hover .anchor-link,
h6:hover .anchor-link {
  visibility: visible;
}
.text_cell.rendered .input_area {
  display: none;
}
.text_cell.rendered .rendered_html {
  overflow-x: auto;
  overflow-y: hidden;
}
.text_cell.rendered .rendered_html tr,
.text_cell.rendered .rendered_html th,
.text_cell.rendered .rendered_html td {
  max-width: none;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.text_cell .dropzone .input_area {
  border: 2px dashed #bababa;
  margin: -1px;
}
.cm-header-1,
.cm-header-2,
.cm-header-3,
.cm-header-4,
.cm-header-5,
.cm-header-6 {
  font-weight: bold;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.cm-header-1 {
  font-size: 185.7%;
}
.cm-header-2 {
  font-size: 157.1%;
}
.cm-header-3 {
  font-size: 128.6%;
}
.cm-header-4 {
  font-size: 110%;
}
.cm-header-5 {
  font-size: 100%;
  font-style: italic;
}
.cm-header-6 {
  font-size: 100%;
  font-style: italic;
}
/*!
*
* IPython notebook webapp
*
*/
@media (max-width: 767px) {
  .notebook_app {
    padding-left: 0px;
    padding-right: 0px;
  }
}
#ipython-main-app {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook_panel {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook {
  font-size: 14px;
  line-height: 20px;
  overflow-y: hidden;
  overflow-x: auto;
  width: 100%;
  /* This spaces the page away from the edge of the notebook area */
  padding-top: 20px;
  margin: 0px;
  outline: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  min-height: 100%;
}
@media not print {
  #notebook-container {
    padding: 15px;
    background-color: #fff;
    min-height: 0;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
@media print {
  #notebook-container {
    width: 100%;
  }
}
div.ui-widget-content {
  border: 1px solid #ababab;
  outline: none;
}
pre.dialog {
  background-color: #f7f7f7;
  border: 1px solid #ddd;
  border-radius: 2px;
  padding: 0.4em;
  padding-left: 2em;
}
p.dialog {
  padding: 0.2em;
}
/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
 */
pre,
code,
kbd,
samp {
  white-space: pre-wrap;
}
#fonttest {
  font-family: monospace;
}
p {
  margin-bottom: 0;
}
.end_space {
  min-height: 100px;
  transition: height .2s ease;
}
.notebook_app > #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
@media not print {
  .notebook_app {
    background-color: #EEE;
  }
}
kbd {
  border-style: solid;
  border-width: 1px;
  box-shadow: none;
  margin: 2px;
  padding-left: 2px;
  padding-right: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
.jupyter-keybindings {
  padding: 1px;
  line-height: 24px;
  border-bottom: 1px solid gray;
}
.jupyter-keybindings input {
  margin: 0;
  padding: 0;
  border: none;
}
.jupyter-keybindings i {
  padding: 6px;
}
.well code {
  background-color: #ffffff;
  border-color: #ababab;
  border-width: 1px;
  border-style: solid;
  padding: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
/* CSS for the cell toolbar */
.celltoolbar {
  border: thin solid #CFCFCF;
  border-bottom: none;
  background: #EEE;
  border-radius: 2px 2px 0px 0px;
  width: 100%;
  height: 29px;
  padding-right: 4px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
  display: -webkit-flex;
}
@media print {
  .celltoolbar {
    display: none;
  }
}
.ctb_hideshow {
  display: none;
  vertical-align: bottom;
}
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
   Cell toolbars are only shown when the ctb_global_show class is also set.
*/
.ctb_global_show .ctb_show.ctb_hideshow {
  display: block;
}
.ctb_global_show .ctb_show + .input_area,
.ctb_global_show .ctb_show + div.text_cell_input,
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border-top-right-radius: 0px;
  border-top-left-radius: 0px;
}
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border: 1px solid #cfcfcf;
}
.celltoolbar {
  font-size: 87%;
  padding-top: 3px;
}
.celltoolbar select {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  width: inherit;
  font-size: inherit;
  height: 22px;
  padding: 0px;
  display: inline-block;
}
.celltoolbar select:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.celltoolbar select::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.celltoolbar select:-ms-input-placeholder {
  color: #999;
}
.celltoolbar select::-webkit-input-placeholder {
  color: #999;
}
.celltoolbar select::-ms-expand {
  border: 0;
  background-color: transparent;
}
.celltoolbar select[disabled],
.celltoolbar select[readonly],
fieldset[disabled] .celltoolbar select {
  background-color: #eeeeee;
  opacity: 1;
}
.celltoolbar select[disabled],
fieldset[disabled] .celltoolbar select {
  cursor: not-allowed;
}
textarea.celltoolbar select {
  height: auto;
}
select.celltoolbar select {
  height: 30px;
  line-height: 30px;
}
textarea.celltoolbar select,
select[multiple].celltoolbar select {
  height: auto;
}
.celltoolbar label {
  margin-left: 5px;
  margin-right: 5px;
}
.tags_button_container {
  width: 100%;
  display: flex;
}
.tag-container {
  display: flex;
  flex-direction: row;
  flex-grow: 1;
  overflow: hidden;
  position: relative;
}
.tag-container > * {
  margin: 0 4px;
}
.remove-tag-btn {
  margin-left: 4px;
}
.tags-input {
  display: flex;
}
.cell-tag:last-child:after {
  content: "";
  position: absolute;
  right: 0;
  width: 40px;
  height: 100%;
  /* Fade to background color of cell toolbar */
  background: linear-gradient(to right, rgba(0, 0, 0, 0), #EEE);
}
.tags-input > * {
  margin-left: 4px;
}
.cell-tag,
.tags-input input,
.tags-input button {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  box-shadow: none;
  width: inherit;
  font-size: inherit;
  height: 22px;
  line-height: 22px;
  padding: 0px 4px;
  display: inline-block;
}
.cell-tag:focus,
.tags-input input:focus,
.tags-input button:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.cell-tag::-moz-placeholder,
.tags-input input::-moz-placeholder,
.tags-input button::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.cell-tag:-ms-input-placeholder,
.tags-input input:-ms-input-placeholder,
.tags-input button:-ms-input-placeholder {
  color: #999;
}
.cell-tag::-webkit-input-placeholder,
.tags-input input::-webkit-input-placeholder,
.tags-input button::-webkit-input-placeholder {
  color: #999;
}
.cell-tag::-ms-expand,
.tags-input input::-ms-expand,
.tags-input button::-ms-expand {
  border: 0;
  background-color: transparent;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
.cell-tag[readonly],
.tags-input input[readonly],
.tags-input button[readonly],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  background-color: #eeeeee;
  opacity: 1;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  cursor: not-allowed;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button {
  height: auto;
}
select.cell-tag,
select.tags-input input,
select.tags-input button {
  height: 30px;
  line-height: 30px;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button,
select[multiple].cell-tag,
select[multiple].tags-input input,
select[multiple].tags-input button {
  height: auto;
}
.cell-tag,
.tags-input button {
  padding: 0px 4px;
}
.cell-tag {
  background-color: #fff;
  white-space: nowrap;
}
.tags-input input[type=text]:focus {
  outline: none;
  box-shadow: none;
  border-color: #ccc;
}
.completions {
  position: absolute;
  z-index: 110;
  overflow: hidden;
  border: 1px solid #ababab;
  border-radius: 2px;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  line-height: 1;
}
.completions select {
  background: white;
  outline: none;
  border: none;
  padding: 0px;
  margin: 0px;
  overflow: auto;
  font-family: monospace;
  font-size: 110%;
  color: #000;
  width: auto;
}
.completions select option.context {
  color: #286090;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
[dir="rtl"] #kernel_logo_widget {
  float: left !important;
  float: left;
}
.modal .modal-body .move-path {
  display: flex;
  flex-direction: row;
  justify-content: space;
  align-items: center;
}
.modal .modal-body .move-path .server-root {
  padding-right: 20px;
}
.modal .modal-body .move-path .path-input {
  flex: 1;
}
#menubar {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  margin-top: 1px;
}
#menubar .navbar {
  border-top: 1px;
  border-radius: 0px 0px 2px 2px;
  margin-bottom: 0px;
}
#menubar .navbar-toggle {
  float: left;
  padding-top: 7px;
  padding-bottom: 7px;
  border: none;
}
#menubar .navbar-collapse {
  clear: left;
}
[dir="rtl"] #menubar .navbar-toggle {
  float: right;
}
[dir="rtl"] #menubar .navbar-collapse {
  clear: right;
}
[dir="rtl"] #menubar .navbar-nav {
  float: right;
}
[dir="rtl"] #menubar .nav {
  padding-right: 0px;
}
[dir="rtl"] #menubar .navbar-nav > li {
  float: right;
}
[dir="rtl"] #menubar .navbar-right {
  float: left !important;
}
[dir="rtl"] ul.dropdown-menu {
  text-align: right;
  left: auto;
}
[dir="rtl"] ul#new-menu.dropdown-menu {
  right: auto;
  left: 0;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
[dir="rtl"] i.menu-icon.pull-right {
  float: left !important;
  float: left;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
[dir="rtl"] ul#help_menu li a {
  padding-left: 2.2em;
}
[dir="rtl"] ul#help_menu li a i {
  margin-right: 0;
  margin-left: -1.2em;
}
[dir="rtl"] ul#help_menu li a i.pull-right {
  float: left !important;
  float: left;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
[dir="rtl"] .dropdown-submenu > .dropdown-menu {
  right: 100%;
  margin-right: -1px;
}
.dropdown-submenu:hover > .dropdown-menu {
  display: block;
}
.dropdown-submenu > a:after {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  display: block;
  content: "\f0da";
  float: right;
  color: #333333;
  margin-top: 2px;
  margin-right: -10px;
}
.dropdown-submenu > a:after.fa-pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.fa-pull-right {
  margin-left: .3em;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
[dir="rtl"] .dropdown-submenu > a:after {
  float: left;
  content: "\f0d9";
  margin-right: 0;
  margin-left: -10px;
}
.dropdown-submenu:hover > a:after {
  color: #262626;
}
.dropdown-submenu.pull-left {
  float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
  left: -100%;
  margin-left: 10px;
}
#notification_area {
  float: right !important;
  float: right;
  z-index: 10;
}
[dir="rtl"] #notification_area {
  float: left !important;
  float: left;
}
.indicator_area {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] .indicator_area {
  float: left !important;
  float: left;
}
#kernel_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  border-left: 1px solid;
}
#kernel_indicator .kernel_indicator_name {
  padding-left: 5px;
  padding-right: 5px;
}
[dir="rtl"] #kernel_indicator {
  float: left !important;
  float: left;
  border-left: 0;
  border-right: 1px solid;
}
#modal_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] #modal_indicator {
  float: left !important;
  float: left;
}
#readonly-indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  margin-top: 2px;
  margin-bottom: 0px;
  margin-left: 0px;
  margin-right: 0px;
  display: none;
}
.modal_indicator:before {
  width: 1.28571429em;
  text-align: center;
}
.edit_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f040";
}
.edit_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.edit_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: ' ';
}
.command_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f10c";
}
.kernel_idle_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f111";
}
.kernel_busy_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f1e2";
}
.kernel_dead_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f127";
}
.kernel_disconnected_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.pull-right {
  margin-left: .3em;
}
.notification_widget {
  color: #777;
  z-index: 10;
  background: rgba(240, 240, 240, 0.5);
  margin-right: 4px;
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget:focus,
.notification_widget.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.notification_widget:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active:hover,
.notification_widget.active:hover,
.open > .dropdown-toggle.notification_widget:hover,
.notification_widget:active:focus,
.notification_widget.active:focus,
.open > .dropdown-toggle.notification_widget:focus,
.notification_widget:active.focus,
.notification_widget.active.focus,
.open > .dropdown-toggle.notification_widget.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  background-image: none;
}
.notification_widget.disabled:hover,
.notification_widget[disabled]:hover,
fieldset[disabled] .notification_widget:hover,
.notification_widget.disabled:focus,
.notification_widget[disabled]:focus,
fieldset[disabled] .notification_widget:focus,
.notification_widget.disabled.focus,
.notification_widget[disabled].focus,
fieldset[disabled] .notification_widget.focus {
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget .badge {
  color: #fff;
  background-color: #333;
}
.notification_widget.warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning:focus,
.notification_widget.warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.notification_widget.warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active:hover,
.notification_widget.warning.active:hover,
.open > .dropdown-toggle.notification_widget.warning:hover,
.notification_widget.warning:active:focus,
.notification_widget.warning.active:focus,
.open > .dropdown-toggle.notification_widget.warning:focus,
.notification_widget.warning:active.focus,
.notification_widget.warning.active.focus,
.open > .dropdown-toggle.notification_widget.warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  background-image: none;
}
.notification_widget.warning.disabled:hover,
.notification_widget.warning[disabled]:hover,
fieldset[disabled] .notification_widget.warning:hover,
.notification_widget.warning.disabled:focus,
.notification_widget.warning[disabled]:focus,
fieldset[disabled] .notification_widget.warning:focus,
.notification_widget.warning.disabled.focus,
.notification_widget.warning[disabled].focus,
fieldset[disabled] .notification_widget.warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.notification_widget.success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success:focus,
.notification_widget.success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.notification_widget.success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active:hover,
.notification_widget.success.active:hover,
.open > .dropdown-toggle.notification_widget.success:hover,
.notification_widget.success:active:focus,
.notification_widget.success.active:focus,
.open > .dropdown-toggle.notification_widget.success:focus,
.notification_widget.success:active.focus,
.notification_widget.success.active.focus,
.open > .dropdown-toggle.notification_widget.success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  background-image: none;
}
.notification_widget.success.disabled:hover,
.notification_widget.success[disabled]:hover,
fieldset[disabled] .notification_widget.success:hover,
.notification_widget.success.disabled:focus,
.notification_widget.success[disabled]:focus,
fieldset[disabled] .notification_widget.success:focus,
.notification_widget.success.disabled.focus,
.notification_widget.success[disabled].focus,
fieldset[disabled] .notification_widget.success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.notification_widget.info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info:focus,
.notification_widget.info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.notification_widget.info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active:hover,
.notification_widget.info.active:hover,
.open > .dropdown-toggle.notification_widget.info:hover,
.notification_widget.info:active:focus,
.notification_widget.info.active:focus,
.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  background-image: none;
}
.notification_widget.info.disabled:hover,
.notification_widget.info[disabled]:hover,
fieldset[disabled] .notification_widget.info:hover,
.notification_widget.info.disabled:focus,
.notification_widget.info[disabled]:focus,
fieldset[disabled] .notification_widget.info:focus,
.notification_widget.info.disabled.focus,
.notification_widget.info[disabled].focus,
fieldset[disabled] .notification_widget.info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.notification_widget.danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger:focus,
.notification_widget.danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.notification_widget.danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active:hover,
.notification_widget.danger.active:hover,
.open > .dropdown-toggle.notification_widget.danger:hover,
.notification_widget.danger:active:focus,
.notification_widget.danger.active:focus,
.open > .dropdown-toggle.notification_widget.danger:focus,
.notification_widget.danger:active.focus,
.notification_widget.danger.active.focus,
.open > .dropdown-toggle.notification_widget.danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  background-image: none;
}
.notification_widget.danger.disabled:hover,
.notification_widget.danger[disabled]:hover,
fieldset[disabled] .notification_widget.danger:hover,
.notification_widget.danger.disabled:focus,
.notification_widget.danger[disabled]:focus,
fieldset[disabled] .notification_widget.danger:focus,
.notification_widget.danger.disabled.focus,
.notification_widget.danger[disabled].focus,
fieldset[disabled] .notification_widget.danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger .badge {
  color: #d9534f;
  background-color: #fff;
}
div#pager {
  background-color: #fff;
  font-size: 14px;
  line-height: 20px;
  overflow: hidden;
  display: none;
  position: fixed;
  bottom: 0px;
  width: 100%;
  max-height: 50%;
  padding-top: 8px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  /* Display over codemirror */
  z-index: 100;
  /* Hack which prevents jquery ui resizable from changing top. */
  top: auto !important;
}
div#pager pre {
  line-height: 1.21429em;
  color: #000;
  background-color: #f7f7f7;
  padding: 0.4em;
}
div#pager #pager-button-area {
  position: absolute;
  top: 8px;
  right: 20px;
}
div#pager #pager-contents {
  position: relative;
  overflow: auto;
  width: 100%;
  height: 100%;
}
div#pager #pager-contents #pager-container {
  position: relative;
  padding: 15px 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
div#pager .ui-resizable-handle {
  top: 0px;
  height: 8px;
  background: #f7f7f7;
  border-top: 1px solid #cfcfcf;
  border-bottom: 1px solid #cfcfcf;
  /* This injects handle bars (a short, wide = symbol) for 
        the resize handle. */
}
div#pager .ui-resizable-handle::after {
  content: '';
  top: 2px;
  left: 50%;
  height: 3px;
  width: 30px;
  margin-left: -15px;
  position: absolute;
  border-top: 1px solid #cfcfcf;
}
.quickhelp {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  line-height: 1.8em;
}
.shortcut_key {
  display: inline-block;
  width: 21ex;
  text-align: right;
  font-family: monospace;
}
.shortcut_descr {
  display: inline-block;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
span.save_widget {
  height: 30px;
  margin-top: 4px;
  display: flex;
  justify-content: flex-start;
  align-items: baseline;
  width: 50%;
  flex: 1;
}
span.save_widget span.filename {
  height: 100%;
  line-height: 1em;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  text-overflow: ellipsis;
  overflow: hidden;
  white-space: nowrap;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
[dir="rtl"] span.save_widget.pull-left {
  float: right !important;
  float: right;
}
[dir="rtl"] span.save_widget span.filename {
  margin-left: 0;
  margin-right: 16px;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
  white-space: nowrap;
  padding: 0 5px;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
    padding: 0 0 0 5px;
  }
  span.checkpoint_status,
  span.autosave_status {
    display: none;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  span.checkpoint_status {
    display: none;
  }
  span.autosave_status {
    font-size: x-small;
  }
}
.toolbar {
  padding: 0px;
  margin-left: -5px;
  margin-top: 2px;
  margin-bottom: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.toolbar select,
.toolbar label {
  width: auto;
  vertical-align: middle;
  margin-right: 2px;
  margin-bottom: 0px;
  display: inline;
  font-size: 92%;
  margin-left: 0.3em;
  margin-right: 0.3em;
  padding: 0px;
  padding-top: 3px;
}
.toolbar .btn {
  padding: 2px 8px;
}
.toolbar .btn-group {
  margin-top: 0px;
  margin-left: 5px;
}
.toolbar-btn-label {
  margin-left: 6px;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
  min-height: 27px;
  margin-left: 0px;
  padding-top: 11px;
  padding-bottom: 3px;
}
#maintoolbar .navbar-text {
  float: none;
  vertical-align: middle;
  text-align: right;
  margin-left: 5px;
  margin-right: 0px;
  margin-top: 0px;
}
.select-xs {
  height: 24px;
}
[dir="rtl"] .btn-group > .btn,
.btn-group-vertical > .btn {
  float: right;
}
.pulse,
.dropdown-menu > li > a.pulse,
li.pulse > a.dropdown-toggle,
li.pulse.open > a.dropdown-toggle {
  background-color: #F37626;
  color: white;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
/** WARNING IF YOU ARE EDITTING THIS FILE, if this is a .css file, It has a lot
 * of chance of beeing generated from the ../less/[samename].less file, you can
 * try to get back the less file by reverting somme commit in history
 **/
/*
 * We'll try to get something pretty, so we
 * have some strange css to have the scroll bar on
 * the left with fix button on the top right of the tooltip
 */
@-moz-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-webkit-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-moz-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
@-webkit-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
/*properties of tooltip after "expand"*/
.bigtooltip {
  overflow: auto;
  height: 200px;
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
}
/*properties of tooltip before "expand"*/
.smalltooltip {
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
  text-overflow: ellipsis;
  overflow: hidden;
  height: 80px;
}
.tooltipbuttons {
  position: absolute;
  padding-right: 15px;
  top: 0px;
  right: 0px;
}
.tooltiptext {
  /*avoid the button to overlap on some docstring*/
  padding-right: 30px;
}
.ipython_tooltip {
  max-width: 700px;
  /*fade-in animation when inserted*/
  -webkit-animation: fadeOut 400ms;
  -moz-animation: fadeOut 400ms;
  animation: fadeOut 400ms;
  -webkit-animation: fadeIn 400ms;
  -moz-animation: fadeIn 400ms;
  animation: fadeIn 400ms;
  vertical-align: middle;
  background-color: #f7f7f7;
  overflow: visible;
  border: #ababab 1px solid;
  outline: none;
  padding: 3px;
  margin: 0px;
  padding-left: 7px;
  font-family: monospace;
  min-height: 50px;
  -moz-box-shadow: 0px 6px 10px -1px #adadad;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  border-radius: 2px;
  position: absolute;
  z-index: 1000;
}
.ipython_tooltip a {
  float: right;
}
.ipython_tooltip .tooltiptext pre {
  border: 0;
  border-radius: 0;
  font-size: 100%;
  background-color: #f7f7f7;
}
.pretooltiparrow {
  left: 0px;
  margin: 0px;
  top: -16px;
  width: 40px;
  height: 16px;
  overflow: hidden;
  position: absolute;
}
.pretooltiparrow:before {
  background-color: #f7f7f7;
  border: 1px #ababab solid;
  z-index: 11;
  content: "";
  position: absolute;
  left: 15px;
  top: 10px;
  width: 25px;
  height: 25px;
  -webkit-transform: rotate(45deg);
  -moz-transform: rotate(45deg);
  -ms-transform: rotate(45deg);
  -o-transform: rotate(45deg);
}
ul.typeahead-list i {
  margin-left: -10px;
  width: 18px;
}
[dir="rtl"] ul.typeahead-list i {
  margin-left: 0;
  margin-right: -10px;
}
ul.typeahead-list {
  max-height: 80vh;
  overflow: auto;
}
ul.typeahead-list > li > a {
  /** Firefox bug **/
  /* see https://github.com/jupyter/notebook/issues/559 */
  white-space: normal;
}
ul.typeahead-list  > li > a.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .typeahead-list {
  text-align: right;
}
.cmd-palette .modal-body {
  padding: 7px;
}
.cmd-palette form {
  background: white;
}
.cmd-palette input {
  outline: none;
}
.no-shortcut {
  min-width: 20px;
  color: transparent;
}
[dir="rtl"] .no-shortcut.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .command-shortcut.pull-right {
  float: left !important;
  float: left;
}
.command-shortcut:before {
  content: "(command mode)";
  padding-right: 3px;
  color: #777777;
}
.edit-shortcut:before {
  content: "(edit)";
  padding-right: 3px;
  color: #777777;
}
[dir="rtl"] .edit-shortcut.pull-right {
  float: left !important;
  float: left;
}
#find-and-replace #replace-preview .match,
#find-and-replace #replace-preview .insert {
  background-color: #BBDEFB;
  border-color: #90CAF9;
  border-style: solid;
  border-width: 1px;
  border-radius: 0px;
}
[dir="ltr"] #find-and-replace .input-group-btn + .form-control {
  border-left: none;
}
[dir="rtl"] #find-and-replace .input-group-btn + .form-control {
  border-right: none;
}
#find-and-replace #replace-preview .replace .match {
  background-color: #FFCDD2;
  border-color: #EF9A9A;
  border-radius: 0px;
}
#find-and-replace #replace-preview .replace .insert {
  background-color: #C8E6C9;
  border-color: #A5D6A7;
  border-radius: 0px;
}
#find-and-replace #replace-preview {
  max-height: 60vh;
  overflow: auto;
}
#find-and-replace #replace-preview pre {
  padding: 5px 10px;
}
.terminal-app {
  background: #EEE;
}
.terminal-app #header {
  background: #fff;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.terminal-app .terminal {
  width: 100%;
  float: left;
  font-family: monospace;
  color: white;
  background: black;
  padding: 0.4em;
  border-radius: 2px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
}
.terminal-app .terminal,
.terminal-app .terminal dummy-screen {
  line-height: 1em;
  font-size: 14px;
}
.terminal-app .terminal .xterm-rows {
  padding: 10px;
}
.terminal-app .terminal-cursor {
  color: black;
  background: white;
}
.terminal-app #terminado-container {
  margin-top: 20px;
}
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  div.output { 
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<div class="text_cell_render border-box-sizing rendered_html">
<h1 id="Machine-Learning-Project">Machine Learning Project<a class="anchor-link" href="#Machine-Learning-Project">&#182;</a></h1><h2 id="Supervised-Learning">Supervised Learning<a class="anchor-link" href="#Supervised-Learning">&#182;</a></h2><h2 id="Finding-Donors-for-CharityML">Finding Donors for <em>CharityML</em><a class="anchor-link" href="#Finding-Donors-for-CharityML">&#182;</a></h2>
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<p>This project is my first independent project using Machine Learning. This project is specifically focused on Supervised Learning and was part of the Udacity 'Introduction to Machine Learning with PyTorch' Nanodegree.</p>

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<h2 id="What-does-this-project-do?">What does this project do?<a class="anchor-link" href="#What-does-this-project-do?">&#182;</a></h2><p>In this project, my task was to use supervised algorithms of my choice to model the income of people using data that had been collected from the 1994 U.S. Census.</p>
<p>From doing this, I, then, had to use my findings to conclude on the best algorithm based on the preliminary results and optimise the algorithm to model the data further. From this, my aim was to construct a model that must accurately predict whether an individual makes more than $50,000.</p>
<p>From what I understood on the course, this is a common practice within many charity organisations that depend on donations from the public. This strategy helps to find suitable donors who earn a high enough income and are able to afford to donate.</p>
<p>References:
[1]The dataset for this project originates from the [UCI Machine Learning Repository (<a href="https://archive.ics.uci.edu/ml/datasets/Census+Income">https://archive.ics.uci.edu/ml/datasets/Census+Income</a>).</p>

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<h2 id="Exploring-the-Data">Exploring the Data<a class="anchor-link" href="#Exploring-the-Data">&#182;</a></h2>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Import libraries necessary for this project</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">from</span> <span class="nn">time</span> <span class="kn">import</span> <span class="n">time</span>
<span class="kn">from</span> <span class="nn">IPython.display</span> <span class="kn">import</span> <span class="n">display</span> <span class="c1"># Allows the use of display() for DataFrames</span>

<span class="c1"># Import supplementary visualization code visuals.py</span>
<span class="kn">import</span> <span class="nn">visuals</span> <span class="k">as</span> <span class="nn">vs</span>

<span class="c1"># Pretty display for notebooks</span>
<span class="o">%</span><span class="k">matplotlib</span> inline

<span class="c1"># Load the Census dataset</span>
<span class="n">data</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s2">&quot;census.csv&quot;</span><span class="p">)</span>

<span class="c1"># Success - Display the first record</span>
<span class="n">display</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="n">n</span><span class="o">=</span><span class="mi">1</span><span class="p">))</span>
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      <th></th>
      <th>age</th>
      <th>workclass</th>
      <th>education_level</th>
      <th>education-num</th>
      <th>marital-status</th>
      <th>occupation</th>
      <th>relationship</th>
      <th>race</th>
      <th>sex</th>
      <th>capital-gain</th>
      <th>capital-loss</th>
      <th>hours-per-week</th>
      <th>native-country</th>
      <th>income</th>
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      <th>0</th>
      <td>39</td>
      <td>State-gov</td>
      <td>Bachelors</td>
      <td>13.0</td>
      <td>Never-married</td>
      <td>Adm-clerical</td>
      <td>Not-in-family</td>
      <td>White</td>
      <td>Male</td>
      <td>2174.0</td>
      <td>0.0</td>
      <td>40.0</td>
      <td>United-States</td>
      <td>&lt;=50K</td>
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<h3 id="Implementation:-Data-Exploration">Implementation: Data Exploration<a class="anchor-link" href="#Implementation:-Data-Exploration">&#182;</a></h3><p>A cursory investigation of the dataset will determine how many individuals fit into either group, and will tell us about the percentage of these individuals making more than \$50,000. In the code cell below, you will need to compute the following:</p>
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<li>The total number of records, <code>'n_records'</code></li>
<li>The number of individuals making more than \$50,000 annually, <code>'n_greater_50k'</code>.</li>
<li>The number of individuals making at most \$50,000 annually, <code>'n_at_most_50k'</code>.</li>
<li>The percentage of individuals making more than \$50,000 annually, <code>'greater_percent'</code>.</li>
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<p><strong> HINT: </strong> You may need to look at the table above to understand how the <code>'income'</code> entries are formatted.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Total number of records</span>
<span class="n">n_records</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>

<span class="c1"># Number of records where individual&#39;s income is more than $50,000</span>
<span class="n">n_greater_50k</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="n">data</span><span class="o">.</span><span class="n">income</span><span class="o">==</span><span class="s1">&#39;&gt;50K&#39;</span><span class="p">])</span>

<span class="c1"># Number of records where individual&#39;s income is at most $50,000</span>
<span class="n">n_at_most_50k</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="n">data</span><span class="o">.</span><span class="n">income</span><span class="o">==</span><span class="s1">&#39;&lt;=50K&#39;</span><span class="p">])</span>

<span class="c1"># Percentage of individuals whose income is more than $50,000</span>
<span class="n">greater_percent</span> <span class="o">=</span> <span class="n">n_greater_50k</span><span class="o">/</span><span class="n">n_records</span> <span class="o">*</span> <span class="mf">100.0</span>

<span class="c1"># Print the results</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Total number of records: </span><span class="si">{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">n_records</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Individuals making more than $50,000: </span><span class="si">{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">n_greater_50k</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Individuals making at most $50,000: </span><span class="si">{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">n_at_most_50k</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Percentage of individuals making more than $50,000: </span><span class="si">{}</span><span class="s2">%&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">greater_percent</span><span class="p">))</span>
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<pre>Total number of records: 45222
Individuals making more than $50,000: 11208
Individuals making at most $50,000: 34014
Percentage of individuals making more than $50,000: 24.78439697492371%
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<h2 id="-Featureset-Exploration-"><strong> Featureset Exploration </strong><a class="anchor-link" href="#-Featureset-Exploration-">&#182;</a></h2><ul>
<li><strong>age</strong>: continuous. </li>
<li><strong>workclass</strong>: Private, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked. </li>
<li><strong>education</strong>: Bachelors, Some-college, 11th, HS-grad, Prof-school, Assoc-acdm, Assoc-voc, 9th, 7th-8th, 12th, Masters, 1st-4th, 10th, Doctorate, 5th-6th, Preschool. </li>
<li><strong>education-num</strong>: continuous. </li>
<li><strong>marital-status</strong>: Married-civ-spouse, Divorced, Never-married, Separated, Widowed, Married-spouse-absent, Married-AF-spouse. </li>
<li><strong>occupation</strong>: Tech-support, Craft-repair, Other-service, Sales, Exec-managerial, Prof-specialty, Handlers-cleaners, Machine-op-inspct, Adm-clerical, Farming-fishing, Transport-moving, Priv-house-serv, Protective-serv, Armed-Forces. </li>
<li><strong>relationship</strong>: Wife, Own-child, Husband, Not-in-family, Other-relative, Unmarried. </li>
<li><strong>race</strong>: Black, White, Asian-Pac-Islander, Amer-Indian-Eskimo, Other. </li>
<li><strong>sex</strong>: Female, Male. </li>
<li><strong>capital-gain</strong>: continuous. </li>
<li><strong>capital-loss</strong>: continuous. </li>
<li><strong>hours-per-week</strong>: continuous. </li>
<li><strong>native-country</strong>: United-States, Cambodia, England, Puerto-Rico, Canada, Germany, Outlying-US(Guam-USVI-etc), India, Japan, Greece, South, China, Cuba, Iran, Honduras, Philippines, Italy, Poland, Jamaica, Vietnam, Mexico, Portugal, Ireland, France, Dominican-Republic, Laos, Ecuador, Taiwan, Haiti, Columbia, Hungary, Guatemala, Nicaragua, Scotland, Thailand, Yugoslavia, El-Salvador, Trinadad&amp;Tobago, Peru, Hong, Holand-Netherlands.</li>
</ul>

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<h2 id="Preparing-the-Data">Preparing the Data<a class="anchor-link" href="#Preparing-the-Data">&#182;</a></h2><p>Data must be cleaned, formatted, and restructured before being used for Machine Learning algorithms — this is known as <strong>preprocessing</strong>. Preprocessing can help with the outcome and prediction power of nearly all learning algorithms.</p>

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<h3 id="Transforming-Skewed-Continuous-Features">Transforming Skewed Continuous Features<a class="anchor-link" href="#Transforming-Skewed-Continuous-Features">&#182;</a></h3><p>A dataset can sometimes have at least one feature wher the values lie near a single number, but will also have a non-trivial number of significant larger or smaller values than that single number.  ML Algorithms can be sensitive to these distributions of values and can underperform if the range is not normalized correctly.</p>
<p>With the census dataset, two features fit this description: '<code>capital-gain'</code> and <code>'capital-loss'</code>.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Split the data into features and target label</span>
<span class="n">income_raw</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;income&#39;</span><span class="p">]</span>
<span class="n">features_raw</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s1">&#39;income&#39;</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"># Visualize skewed continuous features of original data</span>
<span class="n">vs</span><span class="o">.</span><span class="n">distribution</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
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<pre>C:\Users\jenni\Documents\Learning\Udacity\DSND_Term1-master\projects\p1_charityml\visuals.py:48: UserWarning: Matplotlib is currently using module://ipykernel.pylab.backend_inline, which is a non-GUI backend, so cannot show the figure.
  fig.show()
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<p><code>'capital-gain'</code> and <code>'capital-loss'</code> have highly skewed distributions. When this happens, we need to apply a logarithmic transformation on the data.</p>
<p>This is done so that the very large values and the very small value don't have a negative effect on the performance of a learning algorithm. Using this strategy helps reduce the range of values caused by outliers.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Log-transform the skewed features</span>
<span class="n">skewed</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;capital-gain&#39;</span><span class="p">,</span> <span class="s1">&#39;capital-loss&#39;</span><span class="p">]</span>
<span class="n">features_log_transformed</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">data</span> <span class="o">=</span> <span class="n">features_raw</span><span class="p">)</span>
<span class="n">features_log_transformed</span><span class="p">[</span><span class="n">skewed</span><span class="p">]</span> <span class="o">=</span> <span class="n">features_raw</span><span class="p">[</span><span class="n">skewed</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="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">x</span> <span class="o">+</span> <span class="mi">1</span><span class="p">))</span>

<span class="c1"># Visualize the new log distributions</span>
<span class="n">vs</span><span class="o">.</span><span class="n">distribution</span><span class="p">(</span><span class="n">features_log_transformed</span><span class="p">,</span> <span class="n">transformed</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
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<h3 id="Normalizing-Numerical-Features">Normalizing Numerical Features<a class="anchor-link" href="#Normalizing-Numerical-Features">&#182;</a></h3><p>Applying normalization ensures that each feature is treated equally when applying supervised learners. Scaling the data alone is not enough to change the shape of each feature's distribution.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Import sklearn.preprocessing.StandardScaler</span>
<span class="kn">from</span> <span class="nn">sklearn.preprocessing</span> <span class="kn">import</span> <span class="n">MinMaxScaler</span>

<span class="c1"># Initialize a scaler, then apply it to the features</span>
<span class="n">scaler</span> <span class="o">=</span> <span class="n">MinMaxScaler</span><span class="p">()</span> <span class="c1"># default=(0, 1)</span>
<span class="n">numerical</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;age&#39;</span><span class="p">,</span> <span class="s1">&#39;education-num&#39;</span><span class="p">,</span> <span class="s1">&#39;capital-gain&#39;</span><span class="p">,</span> <span class="s1">&#39;capital-loss&#39;</span><span class="p">,</span> <span class="s1">&#39;hours-per-week&#39;</span><span class="p">]</span>

<span class="n">features_log_minmax_transform</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">data</span> <span class="o">=</span> <span class="n">features_log_transformed</span><span class="p">)</span>
<span class="n">features_log_minmax_transform</span><span class="p">[</span><span class="n">numerical</span><span class="p">]</span> <span class="o">=</span> <span class="n">scaler</span><span class="o">.</span><span class="n">fit_transform</span><span class="p">(</span><span class="n">features_log_transformed</span><span class="p">[</span><span class="n">numerical</span><span class="p">])</span>

<span class="c1"># Show an example of a record with scaling applied</span>
<span class="n">display</span><span class="p">(</span><span class="n">features_log_minmax_transform</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="n">n</span> <span class="o">=</span> <span class="mi">5</span><span class="p">))</span>
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>age</th>
      <th>workclass</th>
      <th>education_level</th>
      <th>education-num</th>
      <th>marital-status</th>
      <th>occupation</th>
      <th>relationship</th>
      <th>race</th>
      <th>sex</th>
      <th>capital-gain</th>
      <th>capital-loss</th>
      <th>hours-per-week</th>
      <th>native-country</th>
    </tr>
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  <tbody>
    <tr>
      <th>0</th>
      <td>0.301370</td>
      <td>State-gov</td>
      <td>Bachelors</td>
      <td>0.800000</td>
      <td>Never-married</td>
      <td>Adm-clerical</td>
      <td>Not-in-family</td>
      <td>White</td>
      <td>Male</td>
      <td>0.667492</td>
      <td>0.0</td>
      <td>0.397959</td>
      <td>United-States</td>
    </tr>
    <tr>
      <th>1</th>
      <td>0.452055</td>
      <td>Self-emp-not-inc</td>
      <td>Bachelors</td>
      <td>0.800000</td>
      <td>Married-civ-spouse</td>
      <td>Exec-managerial</td>
      <td>Husband</td>
      <td>White</td>
      <td>Male</td>
      <td>0.000000</td>
      <td>0.0</td>
      <td>0.122449</td>
      <td>United-States</td>
    </tr>
    <tr>
      <th>2</th>
      <td>0.287671</td>
      <td>Private</td>
      <td>HS-grad</td>
      <td>0.533333</td>
      <td>Divorced</td>
      <td>Handlers-cleaners</td>
      <td>Not-in-family</td>
      <td>White</td>
      <td>Male</td>
      <td>0.000000</td>
      <td>0.0</td>
      <td>0.397959</td>
      <td>United-States</td>
    </tr>
    <tr>
      <th>3</th>
      <td>0.493151</td>
      <td>Private</td>
      <td>11th</td>
      <td>0.400000</td>
      <td>Married-civ-spouse</td>
      <td>Handlers-cleaners</td>
      <td>Husband</td>
      <td>Black</td>
      <td>Male</td>
      <td>0.000000</td>
      <td>0.0</td>
      <td>0.397959</td>
      <td>United-States</td>
    </tr>
    <tr>
      <th>4</th>
      <td>0.150685</td>
      <td>Private</td>
      <td>Bachelors</td>
      <td>0.800000</td>
      <td>Married-civ-spouse</td>
      <td>Prof-specialty</td>
      <td>Wife</td>
      <td>Black</td>
      <td>Female</td>
      <td>0.000000</td>
      <td>0.0</td>
      <td>0.397959</td>
      <td>Cuba</td>
    </tr>
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<h3 id="Implementation:-Data-Preprocessing">Implementation: Data Preprocessing<a class="anchor-link" href="#Implementation:-Data-Preprocessing">&#182;</a></h3><p>From the table above, we can see there are features for each record that are non-numeric. Majority of the time, learning algorithms expect input to be numeric. To resolve this, non-numeric features will need to be converted into categorical variables. A popular way to convert categorical variables is by using <strong>one-hot encoding</strong>. One-hot encoding creates a <em>"dummy"</em> variable for each possible category of each non-numeric feature. For example, assume <code>someFeature</code> has three possible entries: <code>A</code>, <code>B</code>, or <code>C</code>. We then encode this feature into <code>someFeature_A</code>, <code>someFeature_B</code> and <code>someFeature_C</code>.</p>
<table>
<thead><tr>
<th style="text-align:center"></th>
<th style="text-align:center">someFeature</th>
<th></th>
<th style="text-align:center">someFeature_A</th>
<th style="text-align:center">someFeature_B</th>
<th style="text-align:center">someFeature_C</th>
</tr>
</thead>
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<td style="text-align:center">0</td>
<td style="text-align:center">B</td>
<td></td>
<td style="text-align:center">0</td>
<td style="text-align:center">1</td>
<td style="text-align:center">0</td>
</tr>
<tr>
<td style="text-align:center">1</td>
<td style="text-align:center">C</td>
<td>----&gt; one-hot encode ----&gt;</td>
<td style="text-align:center">0</td>
<td style="text-align:center">0</td>
<td style="text-align:center">1</td>
</tr>
<tr>
<td style="text-align:center">2</td>
<td style="text-align:center">A</td>
<td></td>
<td style="text-align:center">1</td>
<td style="text-align:center">0</td>
<td style="text-align:center">0</td>
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<p>Additionally, as with the non-numeric features, we have to convert the non-numeric target label, <code>'income'</code> to numerical values for the learning algorithm to work. Since there are only two possible categories for this label ("&lt;=50K" and "&gt;50K"), we won't need to use one-hot encoding and will encode these two categories as <code>0</code> and <code>1</code>, respectively.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># #One-hot encode the &#39;features_log_minmax_transform&#39; data using pandas.get_dummies()</span>
<span class="n">features_final</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">get_dummies</span><span class="p">(</span><span class="n">features_log_transformed</span><span class="p">)</span>

<span class="c1"># #Encode the &#39;income_raw&#39; data to numerical values</span>
<span class="n">income</span> <span class="o">=</span> <span class="n">income_raw</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="mi">1</span> <span class="k">if</span> <span class="n">x</span> <span class="o">==</span> <span class="s2">&quot;&gt;50K&quot;</span> <span class="k">else</span> <span class="mi">0</span><span class="p">)</span>

<span class="c1"># #Print the number of features after one-hot encoding</span>
<span class="n">encoded</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">features_final</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="s2">&quot;</span><span class="si">{}</span><span class="s2"> total features after one-hot encoding.&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">encoded</span><span class="p">)))</span>

<span class="nb">print</span><span class="p">(</span><span class="n">encoded</span><span class="p">)</span>

<span class="n">features_final</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">index</span> <span class="o">=</span> <span class="n">features_raw</span><span class="o">.</span><span class="n">index</span><span class="p">)</span>

<span class="k">for</span> <span class="n">col</span><span class="p">,</span> <span class="n">col_data</span> <span class="ow">in</span> <span class="n">features_raw</span><span class="o">.</span><span class="n">iteritems</span><span class="p">():</span>
    <span class="k">if</span> <span class="n">col_data</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="nb">object</span><span class="p">:</span>
        <span class="n">col_data</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">get_dummies</span><span class="p">(</span><span class="n">col_data</span><span class="p">,</span> <span class="n">prefix</span> <span class="o">=</span> <span class="n">col</span><span class="p">)</span>  
        
    <span class="n">features_final</span> <span class="o">=</span> <span class="n">features_final</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">col_data</span><span class="p">)</span>

<span class="c1">#Encode the &#39;income_raw&#39; data to numerical values</span>
<span class="n">income</span> <span class="o">=</span> <span class="n">income_raw</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="mi">1</span> <span class="k">if</span> <span class="n">x</span> <span class="o">==</span> <span class="s2">&quot;&gt;50K&quot;</span> <span class="k">else</span> <span class="mi">0</span><span class="p">)</span>

<span class="c1">#Print the number of features after one-hot encoding</span>
<span class="n">encoded</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">features_final</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="s2">&quot;</span><span class="si">{}</span><span class="s2"> total features after one-hot encoding.&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">encoded</span><span class="p">)))</span>

<span class="nb">print</span><span class="p">(</span><span class="n">encoded</span><span class="p">)</span>
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<pre>103 total features after one-hot encoding.
[&#39;age&#39;, &#39;education-num&#39;, &#39;capital-gain&#39;, &#39;capital-loss&#39;, &#39;hours-per-week&#39;, &#39;workclass_ Federal-gov&#39;, &#39;workclass_ Local-gov&#39;, &#39;workclass_ Private&#39;, &#39;workclass_ Self-emp-inc&#39;, &#39;workclass_ Self-emp-not-inc&#39;, &#39;workclass_ State-gov&#39;, &#39;workclass_ Without-pay&#39;, &#39;education_level_ 10th&#39;, &#39;education_level_ 11th&#39;, &#39;education_level_ 12th&#39;, &#39;education_level_ 1st-4th&#39;, &#39;education_level_ 5th-6th&#39;, &#39;education_level_ 7th-8th&#39;, &#39;education_level_ 9th&#39;, &#39;education_level_ Assoc-acdm&#39;, &#39;education_level_ Assoc-voc&#39;, &#39;education_level_ Bachelors&#39;, &#39;education_level_ Doctorate&#39;, &#39;education_level_ HS-grad&#39;, &#39;education_level_ Masters&#39;, &#39;education_level_ Preschool&#39;, &#39;education_level_ Prof-school&#39;, &#39;education_level_ Some-college&#39;, &#39;marital-status_ Divorced&#39;, &#39;marital-status_ Married-AF-spouse&#39;, &#39;marital-status_ Married-civ-spouse&#39;, &#39;marital-status_ Married-spouse-absent&#39;, &#39;marital-status_ Never-married&#39;, &#39;marital-status_ Separated&#39;, &#39;marital-status_ Widowed&#39;, &#39;occupation_ Adm-clerical&#39;, &#39;occupation_ Armed-Forces&#39;, &#39;occupation_ Craft-repair&#39;, &#39;occupation_ Exec-managerial&#39;, &#39;occupation_ Farming-fishing&#39;, &#39;occupation_ Handlers-cleaners&#39;, &#39;occupation_ Machine-op-inspct&#39;, &#39;occupation_ Other-service&#39;, &#39;occupation_ Priv-house-serv&#39;, &#39;occupation_ Prof-specialty&#39;, &#39;occupation_ Protective-serv&#39;, &#39;occupation_ Sales&#39;, &#39;occupation_ Tech-support&#39;, &#39;occupation_ Transport-moving&#39;, &#39;relationship_ Husband&#39;, &#39;relationship_ Not-in-family&#39;, &#39;relationship_ Other-relative&#39;, &#39;relationship_ Own-child&#39;, &#39;relationship_ Unmarried&#39;, &#39;relationship_ Wife&#39;, &#39;race_ Amer-Indian-Eskimo&#39;, &#39;race_ Asian-Pac-Islander&#39;, &#39;race_ Black&#39;, &#39;race_ Other&#39;, &#39;race_ White&#39;, &#39;sex_ Female&#39;, &#39;sex_ Male&#39;, &#39;native-country_ Cambodia&#39;, &#39;native-country_ Canada&#39;, &#39;native-country_ China&#39;, &#39;native-country_ Columbia&#39;, &#39;native-country_ Cuba&#39;, &#39;native-country_ Dominican-Republic&#39;, &#39;native-country_ Ecuador&#39;, &#39;native-country_ El-Salvador&#39;, &#39;native-country_ England&#39;, &#39;native-country_ France&#39;, &#39;native-country_ Germany&#39;, &#39;native-country_ Greece&#39;, &#39;native-country_ Guatemala&#39;, &#39;native-country_ Haiti&#39;, &#39;native-country_ Holand-Netherlands&#39;, &#39;native-country_ Honduras&#39;, &#39;native-country_ Hong&#39;, &#39;native-country_ Hungary&#39;, &#39;native-country_ India&#39;, &#39;native-country_ Iran&#39;, &#39;native-country_ Ireland&#39;, &#39;native-country_ Italy&#39;, &#39;native-country_ Jamaica&#39;, &#39;native-country_ Japan&#39;, &#39;native-country_ Laos&#39;, &#39;native-country_ Mexico&#39;, &#39;native-country_ Nicaragua&#39;, &#39;native-country_ Outlying-US(Guam-USVI-etc)&#39;, &#39;native-country_ Peru&#39;, &#39;native-country_ Philippines&#39;, &#39;native-country_ Poland&#39;, &#39;native-country_ Portugal&#39;, &#39;native-country_ Puerto-Rico&#39;, &#39;native-country_ Scotland&#39;, &#39;native-country_ South&#39;, &#39;native-country_ Taiwan&#39;, &#39;native-country_ Thailand&#39;, &#39;native-country_ Trinadad&amp;Tobago&#39;, &#39;native-country_ United-States&#39;, &#39;native-country_ Vietnam&#39;, &#39;native-country_ Yugoslavia&#39;]
103 total features after one-hot encoding.
[&#39;age&#39;, &#39;workclass_ Federal-gov&#39;, &#39;workclass_ Local-gov&#39;, &#39;workclass_ Private&#39;, &#39;workclass_ Self-emp-inc&#39;, &#39;workclass_ Self-emp-not-inc&#39;, &#39;workclass_ State-gov&#39;, &#39;workclass_ Without-pay&#39;, &#39;education_level_ 10th&#39;, &#39;education_level_ 11th&#39;, &#39;education_level_ 12th&#39;, &#39;education_level_ 1st-4th&#39;, &#39;education_level_ 5th-6th&#39;, &#39;education_level_ 7th-8th&#39;, &#39;education_level_ 9th&#39;, &#39;education_level_ Assoc-acdm&#39;, &#39;education_level_ Assoc-voc&#39;, &#39;education_level_ Bachelors&#39;, &#39;education_level_ Doctorate&#39;, &#39;education_level_ HS-grad&#39;, &#39;education_level_ Masters&#39;, &#39;education_level_ Preschool&#39;, &#39;education_level_ Prof-school&#39;, &#39;education_level_ Some-college&#39;, &#39;education-num&#39;, &#39;marital-status_ Divorced&#39;, &#39;marital-status_ Married-AF-spouse&#39;, &#39;marital-status_ Married-civ-spouse&#39;, &#39;marital-status_ Married-spouse-absent&#39;, &#39;marital-status_ Never-married&#39;, &#39;marital-status_ Separated&#39;, &#39;marital-status_ Widowed&#39;, &#39;occupation_ Adm-clerical&#39;, &#39;occupation_ Armed-Forces&#39;, &#39;occupation_ Craft-repair&#39;, &#39;occupation_ Exec-managerial&#39;, &#39;occupation_ Farming-fishing&#39;, &#39;occupation_ Handlers-cleaners&#39;, &#39;occupation_ Machine-op-inspct&#39;, &#39;occupation_ Other-service&#39;, &#39;occupation_ Priv-house-serv&#39;, &#39;occupation_ Prof-specialty&#39;, &#39;occupation_ Protective-serv&#39;, &#39;occupation_ Sales&#39;, &#39;occupation_ Tech-support&#39;, &#39;occupation_ Transport-moving&#39;, &#39;relationship_ Husband&#39;, &#39;relationship_ Not-in-family&#39;, &#39;relationship_ Other-relative&#39;, &#39;relationship_ Own-child&#39;, &#39;relationship_ Unmarried&#39;, &#39;relationship_ Wife&#39;, &#39;race_ Amer-Indian-Eskimo&#39;, &#39;race_ Asian-Pac-Islander&#39;, &#39;race_ Black&#39;, &#39;race_ Other&#39;, &#39;race_ White&#39;, &#39;sex_ Female&#39;, &#39;sex_ Male&#39;, &#39;capital-gain&#39;, &#39;capital-loss&#39;, &#39;hours-per-week&#39;, &#39;native-country_ Cambodia&#39;, &#39;native-country_ Canada&#39;, &#39;native-country_ China&#39;, &#39;native-country_ Columbia&#39;, &#39;native-country_ Cuba&#39;, &#39;native-country_ Dominican-Republic&#39;, &#39;native-country_ Ecuador&#39;, &#39;native-country_ El-Salvador&#39;, &#39;native-country_ England&#39;, &#39;native-country_ France&#39;, &#39;native-country_ Germany&#39;, &#39;native-country_ Greece&#39;, &#39;native-country_ Guatemala&#39;, &#39;native-country_ Haiti&#39;, &#39;native-country_ Holand-Netherlands&#39;, &#39;native-country_ Honduras&#39;, &#39;native-country_ Hong&#39;, &#39;native-country_ Hungary&#39;, &#39;native-country_ India&#39;, &#39;native-country_ Iran&#39;, &#39;native-country_ Ireland&#39;, &#39;native-country_ Italy&#39;, &#39;native-country_ Jamaica&#39;, &#39;native-country_ Japan&#39;, &#39;native-country_ Laos&#39;, &#39;native-country_ Mexico&#39;, &#39;native-country_ Nicaragua&#39;, &#39;native-country_ Outlying-US(Guam-USVI-etc)&#39;, &#39;native-country_ Peru&#39;, &#39;native-country_ Philippines&#39;, &#39;native-country_ Poland&#39;, &#39;native-country_ Portugal&#39;, &#39;native-country_ Puerto-Rico&#39;, &#39;native-country_ Scotland&#39;, &#39;native-country_ South&#39;, &#39;native-country_ Taiwan&#39;, &#39;native-country_ Thailand&#39;, &#39;native-country_ Trinadad&amp;Tobago&#39;, &#39;native-country_ United-States&#39;, &#39;native-country_ Vietnam&#39;, &#39;native-country_ Yugoslavia&#39;]
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<h3 id="Shuffle-and-Split-Data">Shuffle and Split Data<a class="anchor-link" href="#Shuffle-and-Split-Data">&#182;</a></h3><p>The <em>categorical variables</em> have now been converted into numerical features, and all numerical features have been normalized. From here, I will split the data (both features and their labels) into training and test sets. 80% of the data will be used for training and 20% for testing.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Import train_test_split</span>
<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="kn">import</span> <span class="n">train_test_split</span>

<span class="c1"># Split the &#39;features&#39; and &#39;income&#39; data into training and testing sets</span>
<span class="n">X_train</span><span class="p">,</span> <span class="n">X_test</span><span class="p">,</span> <span class="n">y_train</span><span class="p">,</span> <span class="n">y_test</span> <span class="o">=</span> <span class="n">train_test_split</span><span class="p">(</span><span class="n">features_final</span><span class="p">,</span> 
                                                    <span class="n">income</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">0</span><span class="p">)</span>

<span class="c1"># Show the results of the split</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Training set has </span><span class="si">{}</span><span class="s2"> samples.&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">X_train</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Testing set has </span><span class="si">{}</span><span class="s2"> samples.&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">X_test</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]))</span>
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<pre>Training set has 36177 samples.
Testing set has 9045 samples.
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<hr>
<h2 id="Evaluating-Model-Performance">Evaluating Model Performance<a class="anchor-link" href="#Evaluating-Model-Performance">&#182;</a></h2><p>I will now use four different algorithms to determine which is best at modeling the data. Three of these algorithms will be supervised learners of my choice, and the fourth algorithm is known as a <em>naive predictor</em>.</p>

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<h3 id="Question-1---Naive-Predictor-Performace">Question 1 - Naive Predictor Performace<a class="anchor-link" href="#Question-1---Naive-Predictor-Performace">&#182;</a></h3><p>The purpose of generating a naive predictor is simply to show what a base model without any intelligence would look like. Ideally your base model would be either the results of a previous model or something else depending on what I'm trying to improve. When there is no benchmark model set, getting a result better than random choice is a place you could start from.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="sd">&#39;&#39;&#39;</span>
<span class="sd">TP = np.sum(income) # Counting the ones as this is the naive case. &#39;income&#39; is the &#39;income_raw&#39; data </span>
<span class="sd">encoded to numerical values done in the data preprocessing step.</span>
<span class="sd">FP = income.count() - TP # Specific to the naive case</span>

<span class="sd">TN = 0 # No predicted negatives in the naive case</span>
<span class="sd">FN = 0 # No predicted negatives in the naive case</span>
<span class="sd">&#39;&#39;&#39;</span>

<span class="n">TP</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">income</span><span class="p">)</span>
<span class="n">FP</span> <span class="o">=</span> <span class="n">income</span><span class="o">.</span><span class="n">count</span><span class="p">()</span> <span class="o">-</span> <span class="n">TP</span>

<span class="n">TN</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">FN</span> <span class="o">=</span> <span class="mi">0</span>

<span class="c1"># Calculating accuracy, precision and recall</span>
<span class="n">accuracy</span> <span class="o">=</span> <span class="n">TP</span><span class="o">/</span><span class="p">(</span><span class="n">TP</span><span class="o">+</span><span class="n">FP</span><span class="p">)</span>
<span class="n">recall</span> <span class="o">=</span> <span class="n">TP</span><span class="o">/</span><span class="p">(</span><span class="n">TP</span><span class="o">+</span><span class="n">FN</span><span class="p">)</span>
<span class="n">precision</span> <span class="o">=</span> <span class="n">accuracy</span>

<span class="c1"># Calculating F-score using the formula above for beta = 0.5 and correct values for precision and recall.</span>
<span class="n">beta</span> <span class="o">=</span> <span class="mf">0.5</span>
<span class="n">fscore</span> <span class="o">=</span> <span class="p">(</span><span class="mi">1</span> <span class="o">+</span> <span class="n">beta</span><span class="o">**</span><span class="mi">2</span><span class="p">)</span><span class="o">*</span><span class="p">(</span><span class="n">precision</span> <span class="o">*</span> <span class="n">recall</span><span class="p">)</span><span class="o">/</span><span class="p">(</span><span class="n">beta</span><span class="o">**</span><span class="mi">2</span><span class="o">*</span><span class="n">precision</span><span class="o">+</span><span class="n">recall</span><span class="p">)</span>
                        
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Naive Predictor: [Accuracy score: </span><span class="si">{:.4f}</span><span class="s2">, F-score: </span><span class="si">{:.4f}</span><span class="s2">]&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">accuracy</span><span class="p">,</span> <span class="n">fscore</span><span class="p">))</span>
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<pre>Naive Predictor: [Accuracy score: 0.2478, F-score: 0.2917]
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<h3 id="Supervised-Learning-Models">Supervised Learning Models<a class="anchor-link" href="#Supervised-Learning-Models">&#182;</a></h3><p><strong>Note examples of Supervised Learning</strong></p>
<ul>
<li>Gaussian Naive Bayes (GaussianNB)</li>
<li>Decision Trees</li>
<li>Ensemble Methods (Bagging, AdaBoost, Random Forest, Gradient Boosting)</li>
<li>K-Nearest Neighbors (KNeighbors)</li>
<li>Stochastic Gradient Descent Classifier (SGDC)</li>
<li>Support Vector Machines (SVM)</li>
<li>Logistic Regression</li>
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<h3 id="Question-2---Model-Application">Question 2 - Model Application<a class="anchor-link" href="#Question-2---Model-Application">&#182;</a></h3><p>List three of the supervised learning models above that are appropriate for this problem that you will test on the census data. For each model chosen:</p>
<ul>
<li>Describe one real-world application in industry where the model can be applied. </li>
<li>What are the strengths of the model; when does it perform well?</li>
<li>What are the weaknesses of the model; when does it perform poorly?</li>
<li>What makes this model a good candidate for the problem, given what you know about the data?</li>
</ul>
<p>Ensure you structure your answer in the same format as above^, with 4 parts for each of the three models you pick. Please include references with your answer.</p>

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<p>1.AdaBoost Classifier</p>
<p>a. Popularly used in hackathons and on data science competitions (i.e. Kaggle) 
b. Strengths of the model is that it is easy to use. It's not prone to overfitting and you can use multiple base classifiers with it. 
c. Weaknesses of the model is that it is highly sensitive to outliers because it tries to fit each data point perfectly. 
d. I feel that it would be useful because we are not running the model in real-time and the size of the model makes using Adaboost beneficial.</p>
<p>2.Random Forest</p>
<p>a. Popularly used by Netflix in order to turn data into product features such as optimising recommendations for their users. Example: <a href="https://netflixtechblog.com/netflix-recommendations-beyond-the-5-stars-part-2-d9b96aa399f5">https://netflixtechblog.com/netflix-recommendations-beyond-the-5-stars-part-2-d9b96aa399f5</a>
b. Strengths of the model is that it handles outliers by removing them completely and has methods for balancing errors in large unbalanced data sets.
c. Weaknesses - Prone to overfitting, performs poorly on testing data
d. Better for using on categorical variables and can train much better with the large amount of entries there is.</p>
<p>3.Gaussian (Naive Bayes)</p>
<p>a. Popularly used by email service providers in detecting spam mail. 
b. Strengths of the model is that it is easy to implement on test data, it's fast and works well with large data sets. 
c. Weaknesses of the model is that it assumes that all features are independent from one another and that is not always the case so although it is fast, this is a consequence of that. 
d. Useful for the large number of features available after one-hot encoding.</p>

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<h3 id="Implementation---Creating-a-Training-and-Predicting-Pipeline">Implementation - Creating a Training and Predicting Pipeline<a class="anchor-link" href="#Implementation---Creating-a-Training-and-Predicting-Pipeline">&#182;</a></h3><p>Here, I am evaluating the performance of each model I've chosen. It's important that I create a training and predicting pipeline that allows me effectively train models quickly using different sizes of training data and perform predictions on the testing data.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Importing two metrics from sklearn - fbeta_score and accuracy_score</span>
<span class="kn">from</span> <span class="nn">sklearn.metrics</span> <span class="kn">import</span> <span class="n">fbeta_score</span><span class="p">,</span> <span class="n">accuracy_score</span>

<span class="k">def</span> <span class="nf">train_predict</span><span class="p">(</span><span class="n">learner</span><span class="p">,</span> <span class="n">sample_size</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">X_test</span><span class="p">,</span> <span class="n">y_test</span><span class="p">):</span> 
    <span class="sd">&#39;&#39;&#39;</span>
<span class="sd">    inputs:</span>
<span class="sd">       - learner: the learning algorithm to be trained and predicted on</span>
<span class="sd">       - sample_size: the size of samples (number) to be drawn from training set</span>
<span class="sd">       - X_train: features training set</span>
<span class="sd">       - y_train: income training set</span>
<span class="sd">       - X_test: features testing set</span>
<span class="sd">       - y_test: income testing set</span>
<span class="sd">    &#39;&#39;&#39;</span>
    
    <span class="n">results</span> <span class="o">=</span> <span class="p">{}</span>
    
    <span class="c1"># Fit the learner to the training data using slicing with &#39;sample_size&#39; using .fit(training_features[:], training_labels[:])</span>
    <span class="n">start</span> <span class="o">=</span> <span class="n">time</span><span class="p">()</span> <span class="c1"># Get start time</span>
    <span class="n">learner</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">sample_size</span><span class="p">],</span><span class="n">y_train</span><span class="p">[:</span><span class="n">sample_size</span><span class="p">])</span>
    <span class="n">end</span> <span class="o">=</span> <span class="n">time</span><span class="p">()</span> <span class="c1"># Get end time</span>
    
    <span class="c1"># Calculate the training time</span>
    <span class="n">results</span><span class="p">[</span><span class="s1">&#39;train_time&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">end</span> <span class="o">-</span> <span class="n">start</span>
        
    <span class="c1"># Get the predictions on the test set(X_test),</span>
    <span class="c1">#       then get predictions on the first 300 training samples(X_train) using .predict()</span>
    <span class="n">start</span> <span class="o">=</span> <span class="n">time</span><span class="p">()</span> <span class="c1"># Get start time</span>
    <span class="n">predictions_test</span> <span class="o">=</span> <span class="n">learner</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="n">predictions_train</span> <span class="o">=</span> <span class="n">learner</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="mi">300</span><span class="p">])</span>
    <span class="n">end</span> <span class="o">=</span> <span class="n">time</span><span class="p">()</span> <span class="c1"># Get end time</span>
    
    <span class="c1"># Calculate the total prediction time</span>
    <span class="n">results</span><span class="p">[</span><span class="s1">&#39;pred_time&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">end</span> <span class="o">-</span> <span class="n">start</span>
            
    <span class="c1"># Compute accuracy on the first 300 training samples which is y_train[:300]</span>
    <span class="n">results</span><span class="p">[</span><span class="s1">&#39;acc_train&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_train</span><span class="p">[:</span><span class="mi">300</span><span class="p">],</span><span class="n">predictions_train</span><span class="p">)</span>
        
    <span class="c1"># Compute accuracy on test set using accuracy_score()</span>
    <span class="n">results</span><span class="p">[</span><span class="s1">&#39;acc_test&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span><span class="n">predictions_test</span><span class="p">)</span>
    
    <span class="c1"># Compute F-score on the the first 300 training samples using fbeta_score()</span>
    <span class="n">results</span><span class="p">[</span><span class="s1">&#39;f_train&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">fbeta_score</span><span class="p">(</span><span class="n">y_train</span><span class="p">[:</span><span class="mi">300</span><span class="p">],</span> <span class="n">predictions_train</span><span class="p">,</span> <span class="n">beta</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
        
    <span class="c1"># Compute F-score on the test set which is y_test</span>
    <span class="n">results</span><span class="p">[</span><span class="s1">&#39;f_test&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">fbeta_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">predictions_test</span><span class="p">,</span> <span class="n">beta</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
       
    <span class="c1"># Success</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;</span><span class="si">{}</span><span class="s2"> trained on </span><span class="si">{}</span><span class="s2"> samples.&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">learner</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="p">,</span> <span class="n">sample_size</span><span class="p">))</span>
        
    <span class="c1"># Return the results</span>
    <span class="k">return</span><span class="p">(</span><span class="n">results</span><span class="p">)</span>
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<h3 id="Implementation:-Initial-Model-Evaluation">Implementation: Initial Model Evaluation<a class="anchor-link" href="#Implementation:-Initial-Model-Evaluation">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Import the three supervised learning models from sklearn</span>
<span class="kn">from</span> <span class="nn">sklearn.ensemble</span> <span class="kn">import</span> <span class="n">RandomForestClassifier</span>
<span class="kn">from</span> <span class="nn">sklearn.naive_bayes</span> <span class="kn">import</span> <span class="n">GaussianNB</span>
<span class="kn">from</span> <span class="nn">sklearn.ensemble</span> <span class="kn">import</span> <span class="n">AdaBoostClassifier</span>

<span class="c1"># Initialize the three models</span>
<span class="n">clf_A</span> <span class="o">=</span> <span class="n">RandomForestClassifier</span><span class="p">(</span><span class="n">random_state</span><span class="o">=</span><span class="mi">50</span><span class="p">)</span>
<span class="n">clf_B</span> <span class="o">=</span> <span class="n">GaussianNB</span><span class="p">()</span>
<span class="n">clf_C</span> <span class="o">=</span> <span class="n">AdaBoostClassifier</span><span class="p">(</span><span class="n">random_state</span><span class="o">=</span><span class="mi">50</span><span class="p">)</span>

<span class="c1"># Calculate the number of samples for 1%, 10%, and 100% of the training data</span>
<span class="n">samples_100</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">y_train</span><span class="p">)</span>
<span class="n">samples_10</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">y_train</span><span class="p">)</span><span class="o">*</span><span class="mi">10</span><span class="o">/</span><span class="mi">100</span><span class="p">)</span>
<span class="n">samples_1</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">y_train</span><span class="p">)</span><span class="o">*</span><span class="mi">1</span><span class="o">/</span><span class="mi">100</span><span class="p">)</span>

<span class="c1"># Collecting results on the learners</span>
<span class="n">results</span> <span class="o">=</span> <span class="p">{}</span>
<span class="k">for</span> <span class="n">clf</span> <span class="ow">in</span> <span class="p">[</span><span class="n">clf_A</span><span class="p">,</span> <span class="n">clf_B</span><span class="p">,</span> <span class="n">clf_C</span><span class="p">]:</span>
    <span class="n">clf_name</span> <span class="o">=</span> <span class="n">clf</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span>
    <span class="n">results</span><span class="p">[</span><span class="n">clf_name</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
    <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">samples</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">([</span><span class="n">samples_1</span><span class="p">,</span> <span class="n">samples_10</span><span class="p">,</span> <span class="n">samples_100</span><span class="p">]):</span>
        <span class="n">results</span><span class="p">[</span><span class="n">clf_name</span><span class="p">][</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> \
        <span class="n">train_predict</span><span class="p">(</span><span class="n">clf</span><span class="p">,</span> <span class="n">samples</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">X_test</span><span class="p">,</span> <span class="n">y_test</span><span class="p">)</span>

<span class="c1">#Visualise</span>
<span class="n">vs</span><span class="o">.</span><span class="n">evaluate</span><span class="p">(</span><span class="n">results</span><span class="p">,</span> <span class="n">accuracy</span><span class="p">,</span> <span class="n">fscore</span><span class="p">)</span>
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<pre>RandomForestClassifier trained on 361 samples.
RandomForestClassifier trained on 3617 samples.
RandomForestClassifier trained on 36177 samples.
GaussianNB trained on 361 samples.
GaussianNB trained on 3617 samples.
GaussianNB trained on 36177 samples.
AdaBoostClassifier trained on 361 samples.
AdaBoostClassifier trained on 3617 samples.
AdaBoostClassifier trained on 36177 samples.
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<pre>C:\Users\jenni\Documents\Learning\Udacity\DSND_Term1-master\projects\p1_charityml\visuals.py:118: UserWarning: Tight layout not applied. tight_layout cannot make axes width small enough to accommodate all axes decorations
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<h2 id="Improving-Results">Improving Results<a class="anchor-link" href="#Improving-Results">&#182;</a></h2><p>In this final section, I will choose from the three supervised learning models and select what I believe to be the <em>best</em> model to use on the student data. I will then perform a grid search optimization for the model over the entire training set (<code>X_train</code> and <code>y_train</code>) by tuning at least one parameter to improve upon the untuned model's F-score.</p>

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<h3 id="Question-3---Choosing-the-Best-Model">Question 3 - Choosing the Best Model<a class="anchor-link" href="#Question-3---Choosing-the-Best-Model">&#182;</a></h3><ul>
<li>Based on the evaluation you performed earlier, in one to two paragraphs, explain to <em>CharityML</em> which of the three models you believe to be most appropriate for the task of identifying individuals that make more than \$50,000. </li>
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<p><strong>Answer:</strong></p>
<p>I would choose the AdaBoost model. The reasons being that it, firstly, resulted in a great F score on the testing data even when 100% of the training data is used compared to the other models.</p>
<p>The F-Score measures the test's accuracy &amp; precision and this is just over 0.8 for AdaBoost with 100% of the training set, when the F-Score is equal to 0.70.</p>
<p>AdaBoost is significantly slower with 100% of the Model Training compared to RandomForest and SVM however seeing as we are not using the model on a real-time application, it's more important for it to be predicting as accurately as possible which is more important than speed.</p>

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<h3 id="Question-4---Describing-the-Model-in-Layman's-Terms">Question 4 - Describing the Model in Layman's Terms<a class="anchor-link" href="#Question-4---Describing-the-Model-in-Layman's-Terms">&#182;</a></h3><ul>
<li>In one to two paragraphs, explain to <em>CharityML</em>, in layman's terms, how the final model chosen is supposed to work. Be sure that you are describing the major qualities of the model, such as how the model is trained and how the model makes a prediction. </li>
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<p><strong>Answer:</strong></p>
<p>The AdaBoost is the final model. It combines the weak learners to form a strong rule. We start with the base learner, it takes all the distributions then assigns equal weight to each observation.</p>
<p>If a prediction error is created by the first base algorithm, then we focus on the observations that are having prediction errors. We, then, apply the next base learning algorithm. We keep reiterating this until the limit of the base learning algorithm is met or a higher accuracy is achieved.</p>
<p>After this is done, we combine the outputs from weak learners to create a strong learner. This will improve the prediction power of the model.</p>
<p>The Boosting helps brings focus to the mis-classified points and those that have higher errors by preceding weak rules.</p>

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<h3 id="Implementation:-Model-Tuning">Implementation: Model Tuning<a class="anchor-link" href="#Implementation:-Model-Tuning">&#182;</a></h3><p>In this section, I will fine tune the chosen model. I will use grid search (<code>GridSearchCV</code>) with at least one important parameter that will be tuned with at least 3 different values.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Import &#39;GridSearchCV&#39;, &#39;make_scorer&#39;, and any other necessary libraries</span>
<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="kn">import</span> <span class="n">GridSearchCV</span>
<span class="kn">from</span> <span class="nn">sklearn.metrics</span> <span class="kn">import</span> <span class="n">make_scorer</span>

<span class="c1"># Initialize the classifier</span>
<span class="n">clf</span> <span class="o">=</span> <span class="n">AdaBoostClassifier</span><span class="p">(</span><span class="n">random_state</span><span class="o">=</span><span class="mi">50</span><span class="p">)</span>

<span class="c1"># Create the parameters list you wish to tune, using a dictionary if needed.</span>
<span class="n">parameters</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;n_estimators&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mi">20</span><span class="p">,</span> <span class="mi">40</span><span class="p">],</span>
              <span class="s1">&#39;learning_rate&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mf">0.01</span><span class="p">,</span> <span class="mf">0.1</span><span class="p">],</span>
              <span class="s1">&#39;algorithm&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s1">&#39;SAMME&#39;</span><span class="p">,</span> <span class="s1">&#39;SAMME.R&#39;</span><span class="p">]</span>

<span class="p">}</span>

<span class="c1"># Make an fbeta_score scoring object using make_scorer()</span>
<span class="n">scorer</span> <span class="o">=</span> <span class="n">make_scorer</span><span class="p">(</span><span class="n">fbeta_score</span><span class="p">,</span> <span class="n">beta</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>

<span class="c1"># Perform grid search on the classifier using &#39;scorer&#39; as the scoring method using GridSearchCV()</span>
<span class="n">grid_obj</span> <span class="o">=</span> <span class="n">GridSearchCV</span><span class="p">(</span><span class="n">clf</span><span class="p">,</span> <span class="n">scoring</span><span class="o">=</span><span class="n">scorer</span><span class="p">,</span> <span class="n">param_grid</span><span class="o">=</span><span class="n">parameters</span><span class="p">)</span>

<span class="c1"># Fit the grid search object to the training data and find the optimal parameters using fit()</span>
<span class="n">grid_fit</span> <span class="o">=</span> <span class="n">grid_obj</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="c1"># Get the estimator</span>
<span class="n">best_clf</span> <span class="o">=</span> <span class="n">grid_fit</span><span class="o">.</span><span class="n">best_estimator_</span>

<span class="c1"># Make predictions using the unoptimized and model</span>
<span class="n">predictions</span> <span class="o">=</span> <span class="p">(</span><span class="n">clf</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="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">X_test</span><span class="p">)</span>
<span class="n">best_predictions</span> <span class="o">=</span> <span class="n">best_clf</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="c1"># Report the before-and-afterscores</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Unoptimized model</span><span class="se">\n</span><span class="s2">------&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Accuracy score on testing data: </span><span class="si">{:.4f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">predictions</span><span class="p">)))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;F-score on testing data: </span><span class="si">{:.4f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">fbeta_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">predictions</span><span class="p">,</span> <span class="n">beta</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">)))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;</span><span class="se">\n</span><span class="s2">Optimized Model</span><span class="se">\n</span><span class="s2">------&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Final accuracy score on the testing data: </span><span class="si">{:.4f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">best_predictions</span><span class="p">)))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Final F-score on the testing data: </span><span class="si">{:.4f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">fbeta_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">best_predictions</span><span class="p">,</span> <span class="n">beta</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">)))</span>
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<pre>Unoptimized model
------
Accuracy score on testing data: 0.8576
F-score on testing data: 0.7246

Optimized Model
------
Final accuracy score on the testing data: 0.8421
Final F-score on the testing data: 0.6979
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<h3 id="Question-5---Final-Model-Evaluation">Question 5 - Final Model Evaluation<a class="anchor-link" href="#Question-5---Final-Model-Evaluation">&#182;</a></h3><ul>
<li>What is your optimized model's accuracy and F-score on the testing data? </li>
<li>Are these scores better or worse than the unoptimized model? </li>
<li>How do the results from your optimized model compare to the naive predictor benchmarks you found earlier in <strong>Question 1</strong>?_  </li>
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<p><strong>Note:</strong> Fill in the table below with your results, and then provide discussion in the <strong>Answer</strong> box.</p>

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<h4 id="Results:">Results:<a class="anchor-link" href="#Results:">&#182;</a></h4><table>
<thead><tr>
<th style="text-align:center">Metric</th>
<th style="text-align:center">Unoptimized Model</th>
<th style="text-align:center">Optimized Model</th>
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<td style="text-align:center">Accuracy Score</td>
<td style="text-align:center">0.8576</td>
<td style="text-align:center">0.8421</td>
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<td style="text-align:center">F-score</td>
<td style="text-align:center">0.7246</td>
<td style="text-align:center">0.6979</td>
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<p>Naive Predictor: [Accuracy score: 0.2478, F-score: 0.2917]</p>
<p><strong>Answer: </strong></p>
<p>The results of the Unoptimised Models are better than the Optimised Model. It's a significantly better result than what was found earlier: Naive Predictor: [Accuracy score: 0.2478, F-score: 0.2917]</p>

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<hr>
<h2 id="Feature-Importance">Feature Importance<a class="anchor-link" href="#Feature-Importance">&#182;</a></h2><p>Here is an important task when performing supervised learning on a dataset like the census data I have been using for this project. I have to determine which features provide the most predictive power. I will do this by focusing on the relationship between a few crucial features and the target label. To further explain, this means that I want to identify a small number of features that most strongly predict whether someone's salary is at or above $50,000.</p>
<p>Here I will choose a scikit-learn classifier that has a <code>feature_importance_</code> attribute. This is a function that ranks the importance of features according to the chosen classifier.</p>

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<h3 id="Question-6---Feature-Relevance-Observation">Question 6 - Feature Relevance Observation<a class="anchor-link" href="#Question-6---Feature-Relevance-Observation">&#182;</a></h3><p>When <strong>Exploring the Data</strong>, it was shown there are thirteen available features for each individual on record in the census data. Of these thirteen records, which five features do you believe to be most important for prediction, and in what order would you rank them and why?</p>

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<p><strong>Answer:</strong></p>
<p>I would say:</p>
<p>capital-gain - This is the most important measure to determine the entries that earn the most income. capital-loss - This determines the entries that has the most total loss. education-num - Gives insight into their education status. The more educated they are, the more money they make. occupation - the amount they make is dependent on the industry they are in. age - the older you are, the more money you tend to make. With age comes experience.</p>

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<h3 id="Implementation---Extracting-Feature-Importance">Implementation - Extracting Feature Importance<a class="anchor-link" href="#Implementation---Extracting-Feature-Importance">&#182;</a></h3><p>Here, I will choose a <code>scikit-learn</code> supervised learning algorithm that has a <code>feature_importance_</code> attribute available for use. This attribute is a function that ranks the importance of each feature when making predictions based on the chosen algorithm.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Train the supervised model on the training set using .fit(X_train, y_train)</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">AdaBoostClassifier</span><span class="p">()</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="c1"># Extract the feature importances using .feature_importances_ </span>
<span class="n">importances</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">feature_importances_</span>

<span class="c1"># Plot</span>
<span class="n">vs</span><span class="o">.</span><span class="n">feature_plot</span><span class="p">(</span><span class="n">importances</span><span class="p">,</span> <span class="n">X_train</span><span class="p">,</span> <span class="n">y_train</span><span class="p">)</span>
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<h3 id="Question-7---Extracting-Feature-Importance">Question 7 - Extracting Feature Importance<a class="anchor-link" href="#Question-7---Extracting-Feature-Importance">&#182;</a></h3><p>Observe the visualization created above which displays the five most relevant features for predicting if an individual makes at most or above \$50,000.</p>
<ul>
<li>How do these five features compare to the five features you discussed in <strong>Question 6</strong>?</li>
<li>If you were close to the same answer, how does this visualization confirm your thoughts? </li>
<li>If you were not close, why do you think these features are more relevant?</li>
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<p><strong>Answer:</strong></p>
<p>Aside from occupation, the five features were close to what I predicted. I guess the industry doesn't really have as much of an impact as I thought.</p>

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<h3 id="Feature-Selection">Feature Selection<a class="anchor-link" href="#Feature-Selection">&#182;</a></h3><p>From the visualization above, I can see that the top five most important features contribute more than half of the importance of <strong>all</strong> features present in the data. This shows that we can attempt to <em>reduce the feature space</em> and simplify the information required for the model to learn.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Import functionality for cloning a model</span>
<span class="kn">from</span> <span class="nn">sklearn.base</span> <span class="kn">import</span> <span class="n">clone</span>

<span class="c1"># Reduce the feature space</span>
<span class="n">X_train_reduced</span> <span class="o">=</span> <span class="n">X_train</span><span class="p">[</span><span class="n">X_train</span><span class="o">.</span><span class="n">columns</span><span class="o">.</span><span class="n">values</span><span class="p">[(</span><span class="n">np</span><span class="o">.</span><span class="n">argsort</span><span class="p">(</span><span class="n">importances</span><span class="p">)[::</span><span class="o">-</span><span class="mi">1</span><span class="p">])[:</span><span class="mi">5</span><span class="p">]]]</span>
<span class="n">X_test_reduced</span> <span class="o">=</span> <span class="n">X_test</span><span class="p">[</span><span class="n">X_test</span><span class="o">.</span><span class="n">columns</span><span class="o">.</span><span class="n">values</span><span class="p">[(</span><span class="n">np</span><span class="o">.</span><span class="n">argsort</span><span class="p">(</span><span class="n">importances</span><span class="p">)[::</span><span class="o">-</span><span class="mi">1</span><span class="p">])[:</span><span class="mi">5</span><span class="p">]]]</span>

<span class="c1"># Train on the &quot;best&quot; model found from grid search earlier</span>
<span class="n">clf</span> <span class="o">=</span> <span class="p">(</span><span class="n">clone</span><span class="p">(</span><span class="n">best_clf</span><span class="p">))</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_train_reduced</span><span class="p">,</span> <span class="n">y_train</span><span class="p">)</span>

<span class="c1"># Make new predictions</span>
<span class="n">reduced_predictions</span> <span class="o">=</span> <span class="n">clf</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">X_test_reduced</span><span class="p">)</span>

<span class="c1"># Report scores from the final model using both versions of data</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Final Model trained on full data</span><span class="se">\n</span><span class="s2">------&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Accuracy on testing data: </span><span class="si">{:.4f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">best_predictions</span><span class="p">)))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;F-score on testing data: </span><span class="si">{:.4f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">fbeta_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">best_predictions</span><span class="p">,</span> <span class="n">beta</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">)))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;</span><span class="se">\n</span><span class="s2">Final Model trained on reduced data</span><span class="se">\n</span><span class="s2">------&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Accuracy on testing data: </span><span class="si">{:.4f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">reduced_predictions</span><span class="p">)))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;F-score on testing data: </span><span class="si">{:.4f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">fbeta_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">reduced_predictions</span><span class="p">,</span> <span class="n">beta</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">)))</span>
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<pre>Final Model trained on full data
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Accuracy on testing data: 0.8421
F-score on testing data: 0.6979

Final Model trained on reduced data
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Accuracy on testing data: 0.8087
F-score on testing data: 0.5806
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<h3 id="Question-8---Effects-of-Feature-Selection">Question 8 - Effects of Feature Selection<a class="anchor-link" href="#Question-8---Effects-of-Feature-Selection">&#182;</a></h3><ul>
<li>How does the final model's F-score and accuracy score on the reduced data using only five features compare to those same scores when all features are used?</li>
<li>If training time was a factor, would you consider using the reduced data as your training set?</li>
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<p><strong>Answer:</strong></p>
<p>The final model's F-score and accuracy on the reduced data are lower than the model including all the features. It went down from 0.8421 to 0.8087 for the accuracy and 0.6979 to 0.5806 for F-score. If it was a real time application, I would consider the model on the reduced data. However, in the case of CharityML because the F-score has decreased, I would use the model built based on the entire dataset.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="o">!!</span>jupyter nbconvert *.ipynb
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<pre>[&#39;[NbConvertApp] Converting notebook finding_donors.ipynb to html&#39;,
 &#39;[NbConvertApp] Writing 481384 bytes to finding_donors.html&#39;]</pre>
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