wrangle_act.html

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

<title>wrangle_act</title>

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<style type="text/css">
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/*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */
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sub {
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figure {
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  content: "\e252";
}
.glyphicon-triangle-top:before {
  content: "\e253";
}
.glyphicon-console:before {
  content: "\e254";
}
.glyphicon-superscript:before {
  content: "\e255";
}
.glyphicon-subscript:before {
  content: "\e256";
}
.glyphicon-menu-left:before {
  content: "\e257";
}
.glyphicon-menu-right:before {
  content: "\e258";
}
.glyphicon-menu-down:before {
  content: "\e259";
}
.glyphicon-menu-up:before {
  content: "\e260";
}
* {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
*:before,
*:after {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
html {
  font-size: 10px;
  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);
}
body {
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-size: 13px;
  line-height: 1.42857143;
  color: #000;
  background-color: #fff;
}
input,
button,
select,
textarea {
  font-family: inherit;
  font-size: inherit;
  line-height: inherit;
}
a {
  color: #337ab7;
  text-decoration: none;
}
a:hover,
a:focus {
  color: #23527c;
  text-decoration: underline;
}
a:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
figure {
  margin: 0;
}
img {
  vertical-align: middle;
}
.img-responsive,
.thumbnail > img,
.thumbnail a > img,
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  display: block;
  max-width: 100%;
  height: auto;
}
.img-rounded {
  border-radius: 3px;
}
.img-thumbnail {
  padding: 4px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: all 0.2s ease-in-out;
  -o-transition: all 0.2s ease-in-out;
  transition: all 0.2s ease-in-out;
  display: inline-block;
  max-width: 100%;
  height: auto;
}
.img-circle {
  border-radius: 50%;
}
hr {
  margin-top: 18px;
  margin-bottom: 18px;
  border: 0;
  border-top: 1px solid #eeeeee;
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  margin: -1px;
  padding: 0;
  overflow: hidden;
  clip: rect(0, 0, 0, 0);
  border: 0;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
[role="button"] {
  cursor: pointer;
}
h1,
h2,
h3,
h4,
h5,
h6,
.h1,
.h2,
.h3,
.h4,
.h5,
.h6 {
  font-family: inherit;
  font-weight: 500;
  line-height: 1.1;
  color: inherit;
}
h1 small,
h2 small,
h3 small,
h4 small,
h5 small,
h6 small,
.h1 small,
.h2 small,
.h3 small,
.h4 small,
.h5 small,
.h6 small,
h1 .small,
h2 .small,
h3 .small,
h4 .small,
h5 .small,
h6 .small,
.h1 .small,
.h2 .small,
.h3 .small,
.h4 .small,
.h5 .small,
.h6 .small {
  font-weight: normal;
  line-height: 1;
  color: #777777;
}
h1,
.h1,
h2,
.h2,
h3,
.h3 {
  margin-top: 18px;
  margin-bottom: 9px;
}
h1 small,
.h1 small,
h2 small,
.h2 small,
h3 small,
.h3 small,
h1 .small,
.h1 .small,
h2 .small,
.h2 .small,
h3 .small,
.h3 .small {
  font-size: 65%;
}
h4,
.h4,
h5,
.h5,
h6,
.h6 {
  margin-top: 9px;
  margin-bottom: 9px;
}
h4 small,
.h4 small,
h5 small,
.h5 small,
h6 small,
.h6 small,
h4 .small,
.h4 .small,
h5 .small,
.h5 .small,
h6 .small,
.h6 .small {
  font-size: 75%;
}
h1,
.h1 {
  font-size: 33px;
}
h2,
.h2 {
  font-size: 27px;
}
h3,
.h3 {
  font-size: 23px;
}
h4,
.h4 {
  font-size: 17px;
}
h5,
.h5 {
  font-size: 13px;
}
h6,
.h6 {
  font-size: 12px;
}
p {
  margin: 0 0 9px;
}
.lead {
  margin-bottom: 18px;
  font-size: 14px;
  font-weight: 300;
  line-height: 1.4;
}
@media (min-width: 768px) {
  .lead {
    font-size: 19.5px;
  }
}
small,
.small {
  font-size: 92%;
}
mark,
.mark {
  background-color: #fcf8e3;
  padding: .2em;
}
.text-left {
  text-align: left;
}
.text-right {
  text-align: right;
}
.text-center {
  text-align: center;
}
.text-justify {
  text-align: justify;
}
.text-nowrap {
  white-space: nowrap;
}
.text-lowercase {
  text-transform: lowercase;
}
.text-uppercase {
  text-transform: uppercase;
}
.text-capitalize {
  text-transform: capitalize;
}
.text-muted {
  color: #777777;
}
.text-primary {
  color: #337ab7;
}
a.text-primary:hover,
a.text-primary:focus {
  color: #286090;
}
.text-success {
  color: #3c763d;
}
a.text-success:hover,
a.text-success:focus {
  color: #2b542c;
}
.text-info {
  color: #31708f;
}
a.text-info:hover,
a.text-info:focus {
  color: #245269;
}
.text-warning {
  color: #8a6d3b;
}
a.text-warning:hover,
a.text-warning:focus {
  color: #66512c;
}
.text-danger {
  color: #a94442;
}
a.text-danger:hover,
a.text-danger:focus {
  color: #843534;
}
.bg-primary {
  color: #fff;
  background-color: #337ab7;
}
a.bg-primary:hover,
a.bg-primary:focus {
  background-color: #286090;
}
.bg-success {
  background-color: #dff0d8;
}
a.bg-success:hover,
a.bg-success:focus {
  background-color: #c1e2b3;
}
.bg-info {
  background-color: #d9edf7;
}
a.bg-info:hover,
a.bg-info:focus {
  background-color: #afd9ee;
}
.bg-warning {
  background-color: #fcf8e3;
}
a.bg-warning:hover,
a.bg-warning:focus {
  background-color: #f7ecb5;
}
.bg-danger {
  background-color: #f2dede;
}
a.bg-danger:hover,
a.bg-danger:focus {
  background-color: #e4b9b9;
}
.page-header {
  padding-bottom: 8px;
  margin: 36px 0 18px;
  border-bottom: 1px solid #eeeeee;
}
ul,
ol {
  margin-top: 0;
  margin-bottom: 9px;
}
ul ul,
ol ul,
ul ol,
ol ol {
  margin-bottom: 0;
}
.list-unstyled {
  padding-left: 0;
  list-style: none;
}
.list-inline {
  padding-left: 0;
  list-style: none;
  margin-left: -5px;
}
.list-inline > li {
  display: inline-block;
  padding-left: 5px;
  padding-right: 5px;
}
dl {
  margin-top: 0;
  margin-bottom: 18px;
}
dt,
dd {
  line-height: 1.42857143;
}
dt {
  font-weight: bold;
}
dd {
  margin-left: 0;
}
@media (min-width: 541px) {
  .dl-horizontal dt {
    float: left;
    width: 160px;
    clear: left;
    text-align: right;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
  }
  .dl-horizontal dd {
    margin-left: 180px;
  }
}
abbr[title],
abbr[data-original-title] {
  cursor: help;
  border-bottom: 1px dotted #777777;
}
.initialism {
  font-size: 90%;
  text-transform: uppercase;
}
blockquote {
  padding: 9px 18px;
  margin: 0 0 18px;
  font-size: inherit;
  border-left: 5px solid #eeeeee;
}
blockquote p:last-child,
blockquote ul:last-child,
blockquote ol:last-child {
  margin-bottom: 0;
}
blockquote footer,
blockquote small,
blockquote .small {
  display: block;
  font-size: 80%;
  line-height: 1.42857143;
  color: #777777;
}
blockquote footer:before,
blockquote small:before,
blockquote .small:before {
  content: '\2014 \00A0';
}
.blockquote-reverse,
blockquote.pull-right {
  padding-right: 15px;
  padding-left: 0;
  border-right: 5px solid #eeeeee;
  border-left: 0;
  text-align: right;
}
.blockquote-reverse footer:before,
blockquote.pull-right footer:before,
.blockquote-reverse small:before,
blockquote.pull-right small:before,
.blockquote-reverse .small:before,
blockquote.pull-right .small:before {
  content: '';
}
.blockquote-reverse footer:after,
blockquote.pull-right footer:after,
.blockquote-reverse small:after,
blockquote.pull-right small:after,
.blockquote-reverse .small:after,
blockquote.pull-right .small:after {
  content: '\00A0 \2014';
}
address {
  margin-bottom: 18px;
  font-style: normal;
  line-height: 1.42857143;
}
code,
kbd,
pre,
samp {
  font-family: monospace;
}
code {
  padding: 2px 4px;
  font-size: 90%;
  color: #c7254e;
  background-color: #f9f2f4;
  border-radius: 2px;
}
kbd {
  padding: 2px 4px;
  font-size: 90%;
  color: #888;
  background-color: transparent;
  border-radius: 1px;
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
}
kbd kbd {
  padding: 0;
  font-size: 100%;
  font-weight: bold;
  box-shadow: none;
}
pre {
  display: block;
  padding: 8.5px;
  margin: 0 0 9px;
  font-size: 12px;
  line-height: 1.42857143;
  word-break: break-all;
  word-wrap: break-word;
  color: #333333;
  background-color: #f5f5f5;
  border: 1px solid #ccc;
  border-radius: 2px;
}
pre code {
  padding: 0;
  font-size: inherit;
  color: inherit;
  white-space: pre-wrap;
  background-color: transparent;
  border-radius: 0;
}
.pre-scrollable {
  max-height: 340px;
  overflow-y: scroll;
}
.container {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
@media (min-width: 768px) {
  .container {
    width: 768px;
  }
}
@media (min-width: 992px) {
  .container {
    width: 940px;
  }
}
@media (min-width: 1200px) {
  .container {
    width: 1140px;
  }
}
.container-fluid {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
.row {
  margin-left: 0px;
  margin-right: 0px;
}
.col-xs-1, .col-sm-1, .col-md-1, .col-lg-1, .col-xs-2, .col-sm-2, .col-md-2, .col-lg-2, .col-xs-3, .col-sm-3, .col-md-3, .col-lg-3, .col-xs-4, .col-sm-4, .col-md-4, .col-lg-4, .col-xs-5, .col-sm-5, .col-md-5, .col-lg-5, .col-xs-6, .col-sm-6, .col-md-6, .col-lg-6, .col-xs-7, .col-sm-7, .col-md-7, .col-lg-7, .col-xs-8, .col-sm-8, .col-md-8, .col-lg-8, .col-xs-9, .col-sm-9, .col-md-9, .col-lg-9, .col-xs-10, .col-sm-10, .col-md-10, .col-lg-10, .col-xs-11, .col-sm-11, .col-md-11, .col-lg-11, .col-xs-12, .col-sm-12, .col-md-12, .col-lg-12 {
  position: relative;
  min-height: 1px;
  padding-left: 0px;
  padding-right: 0px;
}
.col-xs-1, .col-xs-2, .col-xs-3, .col-xs-4, .col-xs-5, .col-xs-6, .col-xs-7, .col-xs-8, .col-xs-9, .col-xs-10, .col-xs-11, .col-xs-12 {
  float: left;
}
.col-xs-12 {
  width: 100%;
}
.col-xs-11 {
  width: 91.66666667%;
}
.col-xs-10 {
  width: 83.33333333%;
}
.col-xs-9 {
  width: 75%;
}
.col-xs-8 {
  width: 66.66666667%;
}
.col-xs-7 {
  width: 58.33333333%;
}
.col-xs-6 {
  width: 50%;
}
.col-xs-5 {
  width: 41.66666667%;
}
.col-xs-4 {
  width: 33.33333333%;
}
.col-xs-3 {
  width: 25%;
}
.col-xs-2 {
  width: 16.66666667%;
}
.col-xs-1 {
  width: 8.33333333%;
}
.col-xs-pull-12 {
  right: 100%;
}
.col-xs-pull-11 {
  right: 91.66666667%;
}
.col-xs-pull-10 {
  right: 83.33333333%;
}
.col-xs-pull-9 {
  right: 75%;
}
.col-xs-pull-8 {
  right: 66.66666667%;
}
.col-xs-pull-7 {
  right: 58.33333333%;
}
.col-xs-pull-6 {
  right: 50%;
}
.col-xs-pull-5 {
  right: 41.66666667%;
}
.col-xs-pull-4 {
  right: 33.33333333%;
}
.col-xs-pull-3 {
  right: 25%;
}
.col-xs-pull-2 {
  right: 16.66666667%;
}
.col-xs-pull-1 {
  right: 8.33333333%;
}
.col-xs-pull-0 {
  right: auto;
}
.col-xs-push-12 {
  left: 100%;
}
.col-xs-push-11 {
  left: 91.66666667%;
}
.col-xs-push-10 {
  left: 83.33333333%;
}
.col-xs-push-9 {
  left: 75%;
}
.col-xs-push-8 {
  left: 66.66666667%;
}
.col-xs-push-7 {
  left: 58.33333333%;
}
.col-xs-push-6 {
  left: 50%;
}
.col-xs-push-5 {
  left: 41.66666667%;
}
.col-xs-push-4 {
  left: 33.33333333%;
}
.col-xs-push-3 {
  left: 25%;
}
.col-xs-push-2 {
  left: 16.66666667%;
}
.col-xs-push-1 {
  left: 8.33333333%;
}
.col-xs-push-0 {
  left: auto;
}
.col-xs-offset-12 {
  margin-left: 100%;
}
.col-xs-offset-11 {
  margin-left: 91.66666667%;
}
.col-xs-offset-10 {
  margin-left: 83.33333333%;
}
.col-xs-offset-9 {
  margin-left: 75%;
}
.col-xs-offset-8 {
  margin-left: 66.66666667%;
}
.col-xs-offset-7 {
  margin-left: 58.33333333%;
}
.col-xs-offset-6 {
  margin-left: 50%;
}
.col-xs-offset-5 {
  margin-left: 41.66666667%;
}
.col-xs-offset-4 {
  margin-left: 33.33333333%;
}
.col-xs-offset-3 {
  margin-left: 25%;
}
.col-xs-offset-2 {
  margin-left: 16.66666667%;
}
.col-xs-offset-1 {
  margin-left: 8.33333333%;
}
.col-xs-offset-0 {
  margin-left: 0%;
}
@media (min-width: 768px) {
  .col-sm-1, .col-sm-2, .col-sm-3, .col-sm-4, .col-sm-5, .col-sm-6, .col-sm-7, .col-sm-8, .col-sm-9, .col-sm-10, .col-sm-11, .col-sm-12 {
    float: left;
  }
  .col-sm-12 {
    width: 100%;
  }
  .col-sm-11 {
    width: 91.66666667%;
  }
  .col-sm-10 {
    width: 83.33333333%;
  }
  .col-sm-9 {
    width: 75%;
  }
  .col-sm-8 {
    width: 66.66666667%;
  }
  .col-sm-7 {
    width: 58.33333333%;
  }
  .col-sm-6 {
    width: 50%;
  }
  .col-sm-5 {
    width: 41.66666667%;
  }
  .col-sm-4 {
    width: 33.33333333%;
  }
  .col-sm-3 {
    width: 25%;
  }
  .col-sm-2 {
    width: 16.66666667%;
  }
  .col-sm-1 {
    width: 8.33333333%;
  }
  .col-sm-pull-12 {
    right: 100%;
  }
  .col-sm-pull-11 {
    right: 91.66666667%;
  }
  .col-sm-pull-10 {
    right: 83.33333333%;
  }
  .col-sm-pull-9 {
    right: 75%;
  }
  .col-sm-pull-8 {
    right: 66.66666667%;
  }
  .col-sm-pull-7 {
    right: 58.33333333%;
  }
  .col-sm-pull-6 {
    right: 50%;
  }
  .col-sm-pull-5 {
    right: 41.66666667%;
  }
  .col-sm-pull-4 {
    right: 33.33333333%;
  }
  .col-sm-pull-3 {
    right: 25%;
  }
  .col-sm-pull-2 {
    right: 16.66666667%;
  }
  .col-sm-pull-1 {
    right: 8.33333333%;
  }
  .col-sm-pull-0 {
    right: auto;
  }
  .col-sm-push-12 {
    left: 100%;
  }
  .col-sm-push-11 {
    left: 91.66666667%;
  }
  .col-sm-push-10 {
    left: 83.33333333%;
  }
  .col-sm-push-9 {
    left: 75%;
  }
  .col-sm-push-8 {
    left: 66.66666667%;
  }
  .col-sm-push-7 {
    left: 58.33333333%;
  }
  .col-sm-push-6 {
    left: 50%;
  }
  .col-sm-push-5 {
    left: 41.66666667%;
  }
  .col-sm-push-4 {
    left: 33.33333333%;
  }
  .col-sm-push-3 {
    left: 25%;
  }
  .col-sm-push-2 {
    left: 16.66666667%;
  }
  .col-sm-push-1 {
    left: 8.33333333%;
  }
  .col-sm-push-0 {
    left: auto;
  }
  .col-sm-offset-12 {
    margin-left: 100%;
  }
  .col-sm-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-sm-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-sm-offset-9 {
    margin-left: 75%;
  }
  .col-sm-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-sm-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-sm-offset-6 {
    margin-left: 50%;
  }
  .col-sm-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-sm-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-sm-offset-3 {
    margin-left: 25%;
  }
  .col-sm-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-sm-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-sm-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 992px) {
  .col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-11, .col-md-12 {
    float: left;
  }
  .col-md-12 {
    width: 100%;
  }
  .col-md-11 {
    width: 91.66666667%;
  }
  .col-md-10 {
    width: 83.33333333%;
  }
  .col-md-9 {
    width: 75%;
  }
  .col-md-8 {
    width: 66.66666667%;
  }
  .col-md-7 {
    width: 58.33333333%;
  }
  .col-md-6 {
    width: 50%;
  }
  .col-md-5 {
    width: 41.66666667%;
  }
  .col-md-4 {
    width: 33.33333333%;
  }
  .col-md-3 {
    width: 25%;
  }
  .col-md-2 {
    width: 16.66666667%;
  }
  .col-md-1 {
    width: 8.33333333%;
  }
  .col-md-pull-12 {
    right: 100%;
  }
  .col-md-pull-11 {
    right: 91.66666667%;
  }
  .col-md-pull-10 {
    right: 83.33333333%;
  }
  .col-md-pull-9 {
    right: 75%;
  }
  .col-md-pull-8 {
    right: 66.66666667%;
  }
  .col-md-pull-7 {
    right: 58.33333333%;
  }
  .col-md-pull-6 {
    right: 50%;
  }
  .col-md-pull-5 {
    right: 41.66666667%;
  }
  .col-md-pull-4 {
    right: 33.33333333%;
  }
  .col-md-pull-3 {
    right: 25%;
  }
  .col-md-pull-2 {
    right: 16.66666667%;
  }
  .col-md-pull-1 {
    right: 8.33333333%;
  }
  .col-md-pull-0 {
    right: auto;
  }
  .col-md-push-12 {
    left: 100%;
  }
  .col-md-push-11 {
    left: 91.66666667%;
  }
  .col-md-push-10 {
    left: 83.33333333%;
  }
  .col-md-push-9 {
    left: 75%;
  }
  .col-md-push-8 {
    left: 66.66666667%;
  }
  .col-md-push-7 {
    left: 58.33333333%;
  }
  .col-md-push-6 {
    left: 50%;
  }
  .col-md-push-5 {
    left: 41.66666667%;
  }
  .col-md-push-4 {
    left: 33.33333333%;
  }
  .col-md-push-3 {
    left: 25%;
  }
  .col-md-push-2 {
    left: 16.66666667%;
  }
  .col-md-push-1 {
    left: 8.33333333%;
  }
  .col-md-push-0 {
    left: auto;
  }
  .col-md-offset-12 {
    margin-left: 100%;
  }
  .col-md-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-md-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-md-offset-9 {
    margin-left: 75%;
  }
  .col-md-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-md-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-md-offset-6 {
    margin-left: 50%;
  }
  .col-md-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-md-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-md-offset-3 {
    margin-left: 25%;
  }
  .col-md-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-md-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-md-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 1200px) {
  .col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-11, .col-lg-12 {
    float: left;
  }
  .col-lg-12 {
    width: 100%;
  }
  .col-lg-11 {
    width: 91.66666667%;
  }
  .col-lg-10 {
    width: 83.33333333%;
  }
  .col-lg-9 {
    width: 75%;
  }
  .col-lg-8 {
    width: 66.66666667%;
  }
  .col-lg-7 {
    width: 58.33333333%;
  }
  .col-lg-6 {
    width: 50%;
  }
  .col-lg-5 {
    width: 41.66666667%;
  }
  .col-lg-4 {
    width: 33.33333333%;
  }
  .col-lg-3 {
    width: 25%;
  }
  .col-lg-2 {
    width: 16.66666667%;
  }
  .col-lg-1 {
    width: 8.33333333%;
  }
  .col-lg-pull-12 {
    right: 100%;
  }
  .col-lg-pull-11 {
    right: 91.66666667%;
  }
  .col-lg-pull-10 {
    right: 83.33333333%;
  }
  .col-lg-pull-9 {
    right: 75%;
  }
  .col-lg-pull-8 {
    right: 66.66666667%;
  }
  .col-lg-pull-7 {
    right: 58.33333333%;
  }
  .col-lg-pull-6 {
    right: 50%;
  }
  .col-lg-pull-5 {
    right: 41.66666667%;
  }
  .col-lg-pull-4 {
    right: 33.33333333%;
  }
  .col-lg-pull-3 {
    right: 25%;
  }
  .col-lg-pull-2 {
    right: 16.66666667%;
  }
  .col-lg-pull-1 {
    right: 8.33333333%;
  }
  .col-lg-pull-0 {
    right: auto;
  }
  .col-lg-push-12 {
    left: 100%;
  }
  .col-lg-push-11 {
    left: 91.66666667%;
  }
  .col-lg-push-10 {
    left: 83.33333333%;
  }
  .col-lg-push-9 {
    left: 75%;
  }
  .col-lg-push-8 {
    left: 66.66666667%;
  }
  .col-lg-push-7 {
    left: 58.33333333%;
  }
  .col-lg-push-6 {
    left: 50%;
  }
  .col-lg-push-5 {
    left: 41.66666667%;
  }
  .col-lg-push-4 {
    left: 33.33333333%;
  }
  .col-lg-push-3 {
    left: 25%;
  }
  .col-lg-push-2 {
    left: 16.66666667%;
  }
  .col-lg-push-1 {
    left: 8.33333333%;
  }
  .col-lg-push-0 {
    left: auto;
  }
  .col-lg-offset-12 {
    margin-left: 100%;
  }
  .col-lg-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-lg-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-lg-offset-9 {
    margin-left: 75%;
  }
  .col-lg-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-lg-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-lg-offset-6 {
    margin-left: 50%;
  }
  .col-lg-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-lg-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-lg-offset-3 {
    margin-left: 25%;
  }
  .col-lg-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-lg-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-lg-offset-0 {
    margin-left: 0%;
  }
}
table {
  background-color: transparent;
}
caption {
  padding-top: 8px;
  padding-bottom: 8px;
  color: #777777;
  text-align: left;
}
th {
  text-align: left;
}
.table {
  width: 100%;
  max-width: 100%;
  margin-bottom: 18px;
}
.table > thead > tr > th,
.table > tbody > tr > th,
.table > tfoot > tr > th,
.table > thead > tr > td,
.table > tbody > tr > td,
.table > tfoot > tr > td {
  padding: 8px;
  line-height: 1.42857143;
  vertical-align: top;
  border-top: 1px solid #ddd;
}
.table > thead > tr > th {
  vertical-align: bottom;
  border-bottom: 2px solid #ddd;
}
.table > caption + thead > tr:first-child > th,
.table > colgroup + thead > tr:first-child > th,
.table > thead:first-child > tr:first-child > th,
.table > caption + thead > tr:first-child > td,
.table > colgroup + thead > tr:first-child > td,
.table > thead:first-child > tr:first-child > td {
  border-top: 0;
}
.table > tbody + tbody {
  border-top: 2px solid #ddd;
}
.table .table {
  background-color: #fff;
}
.table-condensed > thead > tr > th,
.table-condensed > tbody > tr > th,
.table-condensed > tfoot > tr > th,
.table-condensed > thead > tr > td,
.table-condensed > tbody > tr > td,
.table-condensed > tfoot > tr > td {
  padding: 5px;
}
.table-bordered {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > tbody > tr > th,
.table-bordered > tfoot > tr > th,
.table-bordered > thead > tr > td,
.table-bordered > tbody > tr > td,
.table-bordered > tfoot > tr > td {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > thead > tr > td {
  border-bottom-width: 2px;
}
.table-striped > tbody > tr:nth-of-type(odd) {
  background-color: #f9f9f9;
}
.table-hover > tbody > tr:hover {
  background-color: #f5f5f5;
}
table col[class*="col-"] {
  position: static;
  float: none;
  display: table-column;
}
table td[class*="col-"],
table th[class*="col-"] {
  position: static;
  float: none;
  display: table-cell;
}
.table > thead > tr > td.active,
.table > tbody > tr > td.active,
.table > tfoot > tr > td.active,
.table > thead > tr > th.active,
.table > tbody > tr > th.active,
.table > tfoot > tr > th.active,
.table > thead > tr.active > td,
.table > tbody > tr.active > td,
.table > tfoot > tr.active > td,
.table > thead > tr.active > th,
.table > tbody > tr.active > th,
.table > tfoot > tr.active > th {
  background-color: #f5f5f5;
}
.table-hover > tbody > tr > td.active:hover,
.table-hover > tbody > tr > th.active:hover,
.table-hover > tbody > tr.active:hover > td,
.table-hover > tbody > tr:hover > .active,
.table-hover > tbody > tr.active:hover > th {
  background-color: #e8e8e8;
}
.table > thead > tr > td.success,
.table > tbody > tr > td.success,
.table > tfoot > tr > td.success,
.table > thead > tr > th.success,
.table > tbody > tr > th.success,
.table > tfoot > tr > th.success,
.table > thead > tr.success > td,
.table > tbody > tr.success > td,
.table > tfoot > tr.success > td,
.table > thead > tr.success > th,
.table > tbody > tr.success > th,
.table > tfoot > tr.success > th {
  background-color: #dff0d8;
}
.table-hover > tbody > tr > td.success:hover,
.table-hover > tbody > tr > th.success:hover,
.table-hover > tbody > tr.success:hover > td,
.table-hover > tbody > tr:hover > .success,
.table-hover > tbody > tr.success:hover > th {
  background-color: #d0e9c6;
}
.table > thead > tr > td.info,
.table > tbody > tr > td.info,
.table > tfoot > tr > td.info,
.table > thead > tr > th.info,
.table > tbody > tr > th.info,
.table > tfoot > tr > th.info,
.table > thead > tr.info > td,
.table > tbody > tr.info > td,
.table > tfoot > tr.info > td,
.table > thead > tr.info > th,
.table > tbody > tr.info > th,
.table > tfoot > tr.info > th {
  background-color: #d9edf7;
}
.table-hover > tbody > tr > td.info:hover,
.table-hover > tbody > tr > th.info:hover,
.table-hover > tbody > tr.info:hover > td,
.table-hover > tbody > tr:hover > .info,
.table-hover > tbody > tr.info:hover > th {
  background-color: #c4e3f3;
}
.table > thead > tr > td.warning,
.table > tbody > tr > td.warning,
.table > tfoot > tr > td.warning,
.table > thead > tr > th.warning,
.table > tbody > tr > th.warning,
.table > tfoot > tr > th.warning,
.table > thead > tr.warning > td,
.table > tbody > tr.warning > td,
.table > tfoot > tr.warning > td,
.table > thead > tr.warning > th,
.table > tbody > tr.warning > th,
.table > tfoot > tr.warning > th {
  background-color: #fcf8e3;
}
.table-hover > tbody > tr > td.warning:hover,
.table-hover > tbody > tr > th.warning:hover,
.table-hover > tbody > tr.warning:hover > td,
.table-hover > tbody > tr:hover > .warning,
.table-hover > tbody > tr.warning:hover > th {
  background-color: #faf2cc;
}
.table > thead > tr > td.danger,
.table > tbody > tr > td.danger,
.table > tfoot > tr > td.danger,
.table > thead > tr > th.danger,
.table > tbody > tr > th.danger,
.table > tfoot > tr > th.danger,
.table > thead > tr.danger > td,
.table > tbody > tr.danger > td,
.table > tfoot > tr.danger > td,
.table > thead > tr.danger > th,
.table > tbody > tr.danger > th,
.table > tfoot > tr.danger > th {
  background-color: #f2dede;
}
.table-hover > tbody > tr > td.danger:hover,
.table-hover > tbody > tr > th.danger:hover,
.table-hover > tbody > tr.danger:hover > td,
.table-hover > tbody > tr:hover > .danger,
.table-hover > tbody > tr.danger:hover > th {
  background-color: #ebcccc;
}
.table-responsive {
  overflow-x: auto;
  min-height: 0.01%;
}
@media screen and (max-width: 767px) {
  .table-responsive {
    width: 100%;
    margin-bottom: 13.5px;
    overflow-y: hidden;
    -ms-overflow-style: -ms-autohiding-scrollbar;
    border: 1px solid #ddd;
  }
  .table-responsive > .table {
    margin-bottom: 0;
  }
  .table-responsive > .table > thead > tr > th,
  .table-responsive > .table > tbody > tr > th,
  .table-responsive > .table > tfoot > tr > th,
  .table-responsive > .table > thead > tr > td,
  .table-responsive > .table > tbody > tr > td,
  .table-responsive > .table > tfoot > tr > td {
    white-space: nowrap;
  }
  .table-responsive > .table-bordered {
    border: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:first-child,
  .table-responsive > .table-bordered > tbody > tr > th:first-child,
  .table-responsive > .table-bordered > tfoot > tr > th:first-child,
  .table-responsive > .table-bordered > thead > tr > td:first-child,
  .table-responsive > .table-bordered > tbody > tr > td:first-child,
  .table-responsive > .table-bordered > tfoot > tr > td:first-child {
    border-left: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:last-child,
  .table-responsive > .table-bordered > tbody > tr > th:last-child,
  .table-responsive > .table-bordered > tfoot > tr > th:last-child,
  .table-responsive > .table-bordered > thead > tr > td:last-child,
  .table-responsive > .table-bordered > tbody > tr > td:last-child,
  .table-responsive > .table-bordered > tfoot > tr > td:last-child {
    border-right: 0;
  }
  .table-responsive > .table-bordered > tbody > tr:last-child > th,
  .table-responsive > .table-bordered > tfoot > tr:last-child > th,
  .table-responsive > .table-bordered > tbody > tr:last-child > td,
  .table-responsive > .table-bordered > tfoot > tr:last-child > td {
    border-bottom: 0;
  }
}
fieldset {
  padding: 0;
  margin: 0;
  border: 0;
  min-width: 0;
}
legend {
  display: block;
  width: 100%;
  padding: 0;
  margin-bottom: 18px;
  font-size: 19.5px;
  line-height: inherit;
  color: #333333;
  border: 0;
  border-bottom: 1px solid #e5e5e5;
}
label {
  display: inline-block;
  max-width: 100%;
  margin-bottom: 5px;
  font-weight: bold;
}
input[type="search"] {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
input[type="radio"],
input[type="checkbox"] {
  margin: 4px 0 0;
  margin-top: 1px \9;
  line-height: normal;
}
input[type="file"] {
  display: block;
}
input[type="range"] {
  display: block;
  width: 100%;
}
select[multiple],
select[size] {
  height: auto;
}
input[type="file"]:focus,
input[type="radio"]:focus,
input[type="checkbox"]:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
output {
  display: block;
  padding-top: 7px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
}
.form-control {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
}
.form-control:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.form-control::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.form-control:-ms-input-placeholder {
  color: #999;
}
.form-control::-webkit-input-placeholder {
  color: #999;
}
.form-control::-ms-expand {
  border: 0;
  background-color: transparent;
}
.form-control[disabled],
.form-control[readonly],
fieldset[disabled] .form-control {
  background-color: #eeeeee;
  opacity: 1;
}
.form-control[disabled],
fieldset[disabled] .form-control {
  cursor: not-allowed;
}
textarea.form-control {
  height: auto;
}
input[type="search"] {
  -webkit-appearance: none;
}
@media screen and (-webkit-min-device-pixel-ratio: 0) {
  input[type="date"].form-control,
  input[type="time"].form-control,
  input[type="datetime-local"].form-control,
  input[type="month"].form-control {
    line-height: 32px;
  }
  input[type="date"].input-sm,
  input[type="time"].input-sm,
  input[type="datetime-local"].input-sm,
  input[type="month"].input-sm,
  .input-group-sm input[type="date"],
  .input-group-sm input[type="time"],
  .input-group-sm input[type="datetime-local"],
  .input-group-sm input[type="month"] {
    line-height: 30px;
  }
  input[type="date"].input-lg,
  input[type="time"].input-lg,
  input[type="datetime-local"].input-lg,
  input[type="month"].input-lg,
  .input-group-lg input[type="date"],
  .input-group-lg input[type="time"],
  .input-group-lg input[type="datetime-local"],
  .input-group-lg input[type="month"] {
    line-height: 45px;
  }
}
.form-group {
  margin-bottom: 15px;
}
.radio,
.checkbox {
  position: relative;
  display: block;
  margin-top: 10px;
  margin-bottom: 10px;
}
.radio label,
.checkbox label {
  min-height: 18px;
  padding-left: 20px;
  margin-bottom: 0;
  font-weight: normal;
  cursor: pointer;
}
.radio input[type="radio"],
.radio-inline input[type="radio"],
.checkbox input[type="checkbox"],
.checkbox-inline input[type="checkbox"] {
  position: absolute;
  margin-left: -20px;
  margin-top: 4px \9;
}
.radio + .radio,
.checkbox + .checkbox {
  margin-top: -5px;
}
.radio-inline,
.checkbox-inline {
  position: relative;
  display: inline-block;
  padding-left: 20px;
  margin-bottom: 0;
  vertical-align: middle;
  font-weight: normal;
  cursor: pointer;
}
.radio-inline + .radio-inline,
.checkbox-inline + .checkbox-inline {
  margin-top: 0;
  margin-left: 10px;
}
input[type="radio"][disabled],
input[type="checkbox"][disabled],
input[type="radio"].disabled,
input[type="checkbox"].disabled,
fieldset[disabled] input[type="radio"],
fieldset[disabled] input[type="checkbox"] {
  cursor: not-allowed;
}
.radio-inline.disabled,
.checkbox-inline.disabled,
fieldset[disabled] .radio-inline,
fieldset[disabled] .checkbox-inline {
  cursor: not-allowed;
}
.radio.disabled label,
.checkbox.disabled label,
fieldset[disabled] .radio label,
fieldset[disabled] .checkbox label {
  cursor: not-allowed;
}
.form-control-static {
  padding-top: 7px;
  padding-bottom: 7px;
  margin-bottom: 0;
  min-height: 31px;
}
.form-control-static.input-lg,
.form-control-static.input-sm {
  padding-left: 0;
  padding-right: 0;
}
.input-sm {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-sm {
  height: 30px;
  line-height: 30px;
}
textarea.input-sm,
select[multiple].input-sm {
  height: auto;
}
.form-group-sm .form-control {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.form-group-sm select.form-control {
  height: 30px;
  line-height: 30px;
}
.form-group-sm textarea.form-control,
.form-group-sm select[multiple].form-control {
  height: auto;
}
.form-group-sm .form-control-static {
  height: 30px;
  min-height: 30px;
  padding: 6px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.input-lg {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-lg {
  height: 45px;
  line-height: 45px;
}
textarea.input-lg,
select[multiple].input-lg {
  height: auto;
}
.form-group-lg .form-control {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.form-group-lg select.form-control {
  height: 45px;
  line-height: 45px;
}
.form-group-lg textarea.form-control,
.form-group-lg select[multiple].form-control {
  height: auto;
}
.form-group-lg .form-control-static {
  height: 45px;
  min-height: 35px;
  padding: 11px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.has-feedback {
  position: relative;
}
.has-feedback .form-control {
  padding-right: 40px;
}
.form-control-feedback {
  position: absolute;
  top: 0;
  right: 0;
  z-index: 2;
  display: block;
  width: 32px;
  height: 32px;
  line-height: 32px;
  text-align: center;
  pointer-events: none;
}
.input-lg + .form-control-feedback,
.input-group-lg + .form-control-feedback,
.form-group-lg .form-control + .form-control-feedback {
  width: 45px;
  height: 45px;
  line-height: 45px;
}
.input-sm + .form-control-feedback,
.input-group-sm + .form-control-feedback,
.form-group-sm .form-control + .form-control-feedback {
  width: 30px;
  height: 30px;
  line-height: 30px;
}
.has-success .help-block,
.has-success .control-label,
.has-success .radio,
.has-success .checkbox,
.has-success .radio-inline,
.has-success .checkbox-inline,
.has-success.radio label,
.has-success.checkbox label,
.has-success.radio-inline label,
.has-success.checkbox-inline label {
  color: #3c763d;
}
.has-success .form-control {
  border-color: #3c763d;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-success .form-control:focus {
  border-color: #2b542c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
}
.has-success .input-group-addon {
  color: #3c763d;
  border-color: #3c763d;
  background-color: #dff0d8;
}
.has-success .form-control-feedback {
  color: #3c763d;
}
.has-warning .help-block,
.has-warning .control-label,
.has-warning .radio,
.has-warning .checkbox,
.has-warning .radio-inline,
.has-warning .checkbox-inline,
.has-warning.radio label,
.has-warning.checkbox label,
.has-warning.radio-inline label,
.has-warning.checkbox-inline label {
  color: #8a6d3b;
}
.has-warning .form-control {
  border-color: #8a6d3b;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-warning .form-control:focus {
  border-color: #66512c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
}
.has-warning .input-group-addon {
  color: #8a6d3b;
  border-color: #8a6d3b;
  background-color: #fcf8e3;
}
.has-warning .form-control-feedback {
  color: #8a6d3b;
}
.has-error .help-block,
.has-error .control-label,
.has-error .radio,
.has-error .checkbox,
.has-error .radio-inline,
.has-error .checkbox-inline,
.has-error.radio label,
.has-error.checkbox label,
.has-error.radio-inline label,
.has-error.checkbox-inline label {
  color: #a94442;
}
.has-error .form-control {
  border-color: #a94442;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-error .form-control:focus {
  border-color: #843534;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
}
.has-error .input-group-addon {
  color: #a94442;
  border-color: #a94442;
  background-color: #f2dede;
}
.has-error .form-control-feedback {
  color: #a94442;
}
.has-feedback label ~ .form-control-feedback {
  top: 23px;
}
.has-feedback label.sr-only ~ .form-control-feedback {
  top: 0;
}
.help-block {
  display: block;
  margin-top: 5px;
  margin-bottom: 10px;
  color: #404040;
}
@media (min-width: 768px) {
  .form-inline .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .form-inline .form-control-static {
    display: inline-block;
  }
  .form-inline .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .form-inline .input-group .input-group-addon,
  .form-inline .input-group .input-group-btn,
  .form-inline .input-group .form-control {
    width: auto;
  }
  .form-inline .input-group > .form-control {
    width: 100%;
  }
  .form-inline .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio,
  .form-inline .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio label,
  .form-inline .checkbox label {
    padding-left: 0;
  }
  .form-inline .radio input[type="radio"],
  .form-inline .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .form-inline .has-feedback .form-control-feedback {
    top: 0;
  }
}
.form-horizontal .radio,
.form-horizontal .checkbox,
.form-horizontal .radio-inline,
.form-horizontal .checkbox-inline {
  margin-top: 0;
  margin-bottom: 0;
  padding-top: 7px;
}
.form-horizontal .radio,
.form-horizontal .checkbox {
  min-height: 25px;
}
.form-horizontal .form-group {
  margin-left: 0px;
  margin-right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .control-label {
    text-align: right;
    margin-bottom: 0;
    padding-top: 7px;
  }
}
.form-horizontal .has-feedback .form-control-feedback {
  right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .form-group-lg .control-label {
    padding-top: 11px;
    font-size: 17px;
  }
}
@media (min-width: 768px) {
  .form-horizontal .form-group-sm .control-label {
    padding-top: 6px;
    font-size: 12px;
  }
}
.btn {
  display: inline-block;
  margin-bottom: 0;
  font-weight: normal;
  text-align: center;
  vertical-align: middle;
  touch-action: manipulation;
  cursor: pointer;
  background-image: none;
  border: 1px solid transparent;
  white-space: nowrap;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  border-radius: 2px;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}
.btn:focus,
.btn:active:focus,
.btn.active:focus,
.btn.focus,
.btn:active.focus,
.btn.active.focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
.btn:hover,
.btn:focus,
.btn.focus {
  color: #333;
  text-decoration: none;
}
.btn:active,
.btn.active {
  outline: 0;
  background-image: none;
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn.disabled,
.btn[disabled],
fieldset[disabled] .btn {
  cursor: not-allowed;
  opacity: 0.65;
  filter: alpha(opacity=65);
  -webkit-box-shadow: none;
  box-shadow: none;
}
a.btn.disabled,
fieldset[disabled] a.btn {
  pointer-events: none;
}
.btn-default {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.btn-default:focus,
.btn-default.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.btn-default:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active:hover,
.btn-default.active:hover,
.open > .dropdown-toggle.btn-default:hover,
.btn-default:active:focus,
.btn-default.active:focus,
.open > .dropdown-toggle.btn-default:focus,
.btn-default:active.focus,
.btn-default.active.focus,
.open > .dropdown-toggle.btn-default.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  background-image: none;
}
.btn-default.disabled:hover,
.btn-default[disabled]:hover,
fieldset[disabled] .btn-default:hover,
.btn-default.disabled:focus,
.btn-default[disabled]:focus,
fieldset[disabled] .btn-default:focus,
.btn-default.disabled.focus,
.btn-default[disabled].focus,
fieldset[disabled] .btn-default.focus {
  background-color: #fff;
  border-color: #ccc;
}
.btn-default .badge {
  color: #fff;
  background-color: #333;
}
.btn-primary {
  color: #fff;
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary:focus,
.btn-primary.focus {
  color: #fff;
  background-color: #286090;
  border-color: #122b40;
}
.btn-primary:hover {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active:hover,
.btn-primary.active:hover,
.open > .dropdown-toggle.btn-primary:hover,
.btn-primary:active:focus,
.btn-primary.active:focus,
.open > .dropdown-toggle.btn-primary:focus,
.btn-primary:active.focus,
.btn-primary.active.focus,
.open > .dropdown-toggle.btn-primary.focus {
  color: #fff;
  background-color: #204d74;
  border-color: #122b40;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  background-image: none;
}
.btn-primary.disabled:hover,
.btn-primary[disabled]:hover,
fieldset[disabled] .btn-primary:hover,
.btn-primary.disabled:focus,
.btn-primary[disabled]:focus,
fieldset[disabled] .btn-primary:focus,
.btn-primary.disabled.focus,
.btn-primary[disabled].focus,
fieldset[disabled] .btn-primary.focus {
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary .badge {
  color: #337ab7;
  background-color: #fff;
}
.btn-success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success:focus,
.btn-success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.btn-success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active:hover,
.btn-success.active:hover,
.open > .dropdown-toggle.btn-success:hover,
.btn-success:active:focus,
.btn-success.active:focus,
.open > .dropdown-toggle.btn-success:focus,
.btn-success:active.focus,
.btn-success.active.focus,
.open > .dropdown-toggle.btn-success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  background-image: none;
}
.btn-success.disabled:hover,
.btn-success[disabled]:hover,
fieldset[disabled] .btn-success:hover,
.btn-success.disabled:focus,
.btn-success[disabled]:focus,
fieldset[disabled] .btn-success:focus,
.btn-success.disabled.focus,
.btn-success[disabled].focus,
fieldset[disabled] .btn-success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.btn-info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info:focus,
.btn-info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.btn-info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active:hover,
.btn-info.active:hover,
.open > .dropdown-toggle.btn-info:hover,
.btn-info:active:focus,
.btn-info.active:focus,
.open > .dropdown-toggle.btn-info:focus,
.btn-info:active.focus,
.btn-info.active.focus,
.open > .dropdown-toggle.btn-info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  background-image: none;
}
.btn-info.disabled:hover,
.btn-info[disabled]:hover,
fieldset[disabled] .btn-info:hover,
.btn-info.disabled:focus,
.btn-info[disabled]:focus,
fieldset[disabled] .btn-info:focus,
.btn-info.disabled.focus,
.btn-info[disabled].focus,
fieldset[disabled] .btn-info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.btn-warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning:focus,
.btn-warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.btn-warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active:hover,
.btn-warning.active:hover,
.open > .dropdown-toggle.btn-warning:hover,
.btn-warning:active:focus,
.btn-warning.active:focus,
.open > .dropdown-toggle.btn-warning:focus,
.btn-warning:active.focus,
.btn-warning.active.focus,
.open > .dropdown-toggle.btn-warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  background-image: none;
}
.btn-warning.disabled:hover,
.btn-warning[disabled]:hover,
fieldset[disabled] .btn-warning:hover,
.btn-warning.disabled:focus,
.btn-warning[disabled]:focus,
fieldset[disabled] .btn-warning:focus,
.btn-warning.disabled.focus,
.btn-warning[disabled].focus,
fieldset[disabled] .btn-warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.btn-danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger:focus,
.btn-danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.btn-danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active:hover,
.btn-danger.active:hover,
.open > .dropdown-toggle.btn-danger:hover,
.btn-danger:active:focus,
.btn-danger.active:focus,
.open > .dropdown-toggle.btn-danger:focus,
.btn-danger:active.focus,
.btn-danger.active.focus,
.open > .dropdown-toggle.btn-danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  background-image: none;
}
.btn-danger.disabled:hover,
.btn-danger[disabled]:hover,
fieldset[disabled] .btn-danger:hover,
.btn-danger.disabled:focus,
.btn-danger[disabled]:focus,
fieldset[disabled] .btn-danger:focus,
.btn-danger.disabled.focus,
.btn-danger[disabled].focus,
fieldset[disabled] .btn-danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger .badge {
  color: #d9534f;
  background-color: #fff;
}
.btn-link {
  color: #337ab7;
  font-weight: normal;
  border-radius: 0;
}
.btn-link,
.btn-link:active,
.btn-link.active,
.btn-link[disabled],
fieldset[disabled] .btn-link {
  background-color: transparent;
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn-link,
.btn-link:hover,
.btn-link:focus,
.btn-link:active {
  border-color: transparent;
}
.btn-link:hover,
.btn-link:focus {
  color: #23527c;
  text-decoration: underline;
  background-color: transparent;
}
.btn-link[disabled]:hover,
fieldset[disabled] .btn-link:hover,
.btn-link[disabled]:focus,
fieldset[disabled] .btn-link:focus {
  color: #777777;
  text-decoration: none;
}
.btn-lg,
.btn-group-lg > .btn {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.btn-sm,
.btn-group-sm > .btn {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-xs,
.btn-group-xs > .btn {
  padding: 1px 5px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-block {
  display: block;
  width: 100%;
}
.btn-block + .btn-block {
  margin-top: 5px;
}
input[type="submit"].btn-block,
input[type="reset"].btn-block,
input[type="button"].btn-block {
  width: 100%;
}
.fade {
  opacity: 0;
  -webkit-transition: opacity 0.15s linear;
  -o-transition: opacity 0.15s linear;
  transition: opacity 0.15s linear;
}
.fade.in {
  opacity: 1;
}
.collapse {
  display: none;
}
.collapse.in {
  display: block;
}
tr.collapse.in {
  display: table-row;
}
tbody.collapse.in {
  display: table-row-group;
}
.collapsing {
  position: relative;
  height: 0;
  overflow: hidden;
  -webkit-transition-property: height, visibility;
  transition-property: height, visibility;
  -webkit-transition-duration: 0.35s;
  transition-duration: 0.35s;
  -webkit-transition-timing-function: ease;
  transition-timing-function: ease;
}
.caret {
  display: inline-block;
  width: 0;
  height: 0;
  margin-left: 2px;
  vertical-align: middle;
  border-top: 4px dashed;
  border-top: 4px solid \9;
  border-right: 4px solid transparent;
  border-left: 4px solid transparent;
}
.dropup,
.dropdown {
  position: relative;
}
.dropdown-toggle:focus {
  outline: 0;
}
.dropdown-menu {
  position: absolute;
  top: 100%;
  left: 0;
  z-index: 1000;
  display: none;
  float: left;
  min-width: 160px;
  padding: 5px 0;
  margin: 2px 0 0;
  list-style: none;
  font-size: 13px;
  text-align: left;
  background-color: #fff;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.15);
  border-radius: 2px;
  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  background-clip: padding-box;
}
.dropdown-menu.pull-right {
  right: 0;
  left: auto;
}
.dropdown-menu .divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.dropdown-menu > li > a {
  display: block;
  padding: 3px 20px;
  clear: both;
  font-weight: normal;
  line-height: 1.42857143;
  color: #333333;
  white-space: nowrap;
}
.dropdown-menu > li > a:hover,
.dropdown-menu > li > a:focus {
  text-decoration: none;
  color: #262626;
  background-color: #f5f5f5;
}
.dropdown-menu > .active > a,
.dropdown-menu > .active > a:hover,
.dropdown-menu > .active > a:focus {
  color: #fff;
  text-decoration: none;
  outline: 0;
  background-color: #337ab7;
}
.dropdown-menu > .disabled > a,
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  color: #777777;
}
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  text-decoration: none;
  background-color: transparent;
  background-image: none;
  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
  cursor: not-allowed;
}
.open > .dropdown-menu {
  display: block;
}
.open > a {
  outline: 0;
}
.dropdown-menu-right {
  left: auto;
  right: 0;
}
.dropdown-menu-left {
  left: 0;
  right: auto;
}
.dropdown-header {
  display: block;
  padding: 3px 20px;
  font-size: 12px;
  line-height: 1.42857143;
  color: #777777;
  white-space: nowrap;
}
.dropdown-backdrop {
  position: fixed;
  left: 0;
  right: 0;
  bottom: 0;
  top: 0;
  z-index: 990;
}
.pull-right > .dropdown-menu {
  right: 0;
  left: auto;
}
.dropup .caret,
.navbar-fixed-bottom .dropdown .caret {
  border-top: 0;
  border-bottom: 4px dashed;
  border-bottom: 4px solid \9;
  content: "";
}
.dropup .dropdown-menu,
.navbar-fixed-bottom .dropdown .dropdown-menu {
  top: auto;
  bottom: 100%;
  margin-bottom: 2px;
}
@media (min-width: 541px) {
  .navbar-right .dropdown-menu {
    left: auto;
    right: 0;
  }
  .navbar-right .dropdown-menu-left {
    left: 0;
    right: auto;
  }
}
.btn-group,
.btn-group-vertical {
  position: relative;
  display: inline-block;
  vertical-align: middle;
}
.btn-group > .btn,
.btn-group-vertical > .btn {
  position: relative;
  float: left;
}
.btn-group > .btn:hover,
.btn-group-vertical > .btn:hover,
.btn-group > .btn:focus,
.btn-group-vertical > .btn:focus,
.btn-group > .btn:active,
.btn-group-vertical > .btn:active,
.btn-group > .btn.active,
.btn-group-vertical > .btn.active {
  z-index: 2;
}
.btn-group .btn + .btn,
.btn-group .btn + .btn-group,
.btn-group .btn-group + .btn,
.btn-group .btn-group + .btn-group {
  margin-left: -1px;
}
.btn-toolbar {
  margin-left: -5px;
}
.btn-toolbar .btn,
.btn-toolbar .btn-group,
.btn-toolbar .input-group {
  float: left;
}
.btn-toolbar > .btn,
.btn-toolbar > .btn-group,
.btn-toolbar > .input-group {
  margin-left: 5px;
}
.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {
  border-radius: 0;
}
.btn-group > .btn:first-child {
  margin-left: 0;
}
.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn:last-child:not(:first-child),
.btn-group > .dropdown-toggle:not(:first-child) {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group > .btn-group {
  float: left;
}
.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group .dropdown-toggle:active,
.btn-group.open .dropdown-toggle {
  outline: 0;
}
.btn-group > .btn + .dropdown-toggle {
  padding-left: 8px;
  padding-right: 8px;
}
.btn-group > .btn-lg + .dropdown-toggle {
  padding-left: 12px;
  padding-right: 12px;
}
.btn-group.open .dropdown-toggle {
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn-group.open .dropdown-toggle.btn-link {
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn .caret {
  margin-left: 0;
}
.btn-lg .caret {
  border-width: 5px 5px 0;
  border-bottom-width: 0;
}
.dropup .btn-lg .caret {
  border-width: 0 5px 5px;
}
.btn-group-vertical > .btn,
.btn-group-vertical > .btn-group,
.btn-group-vertical > .btn-group > .btn {
  display: block;
  float: none;
  width: 100%;
  max-width: 100%;
}
.btn-group-vertical > .btn-group > .btn {
  float: none;
}
.btn-group-vertical > .btn + .btn,
.btn-group-vertical > .btn + .btn-group,
.btn-group-vertical > .btn-group + .btn,
.btn-group-vertical > .btn-group + .btn-group {
  margin-top: -1px;
  margin-left: 0;
}
.btn-group-vertical > .btn:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.btn-group-vertical > .btn:first-child:not(:last-child) {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn:last-child:not(:first-child) {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.btn-group-justified {
  display: table;
  width: 100%;
  table-layout: fixed;
  border-collapse: separate;
}
.btn-group-justified > .btn,
.btn-group-justified > .btn-group {
  float: none;
  display: table-cell;
  width: 1%;
}
.btn-group-justified > .btn-group .btn {
  width: 100%;
}
.btn-group-justified > .btn-group .dropdown-menu {
  left: auto;
}
[data-toggle="buttons"] > .btn input[type="radio"],
[data-toggle="buttons"] > .btn-group > .btn input[type="radio"],
[data-toggle="buttons"] > .btn input[type="checkbox"],
[data-toggle="buttons"] > .btn-group > .btn input[type="checkbox"] {
  position: absolute;
  clip: rect(0, 0, 0, 0);
  pointer-events: none;
}
.input-group {
  position: relative;
  display: table;
  border-collapse: separate;
}
.input-group[class*="col-"] {
  float: none;
  padding-left: 0;
  padding-right: 0;
}
.input-group .form-control {
  position: relative;
  z-index: 2;
  float: left;
  width: 100%;
  margin-bottom: 0;
}
.input-group .form-control:focus {
  z-index: 3;
}
.input-group-lg > .form-control,
.input-group-lg > .input-group-addon,
.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-group-lg > .form-control,
select.input-group-lg > .input-group-addon,
select.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  line-height: 45px;
}
textarea.input-group-lg > .form-control,
textarea.input-group-lg > .input-group-addon,
textarea.input-group-lg > .input-group-btn > .btn,
select[multiple].input-group-lg > .form-control,
select[multiple].input-group-lg > .input-group-addon,
select[multiple].input-group-lg > .input-group-btn > .btn {
  height: auto;
}
.input-group-sm > .form-control,
.input-group-sm > .input-group-addon,
.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-group-sm > .form-control,
select.input-group-sm > .input-group-addon,
select.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  line-height: 30px;
}
textarea.input-group-sm > .form-control,
textarea.input-group-sm > .input-group-addon,
textarea.input-group-sm > .input-group-btn > .btn,
select[multiple].input-group-sm > .form-control,
select[multiple].input-group-sm > .input-group-addon,
select[multiple].input-group-sm > .input-group-btn > .btn {
  height: auto;
}
.input-group-addon,
.input-group-btn,
.input-group .form-control {
  display: table-cell;
}
.input-group-addon:not(:first-child):not(:last-child),
.input-group-btn:not(:first-child):not(:last-child),
.input-group .form-control:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.input-group-addon,
.input-group-btn {
  width: 1%;
  white-space: nowrap;
  vertical-align: middle;
}
.input-group-addon {
  padding: 6px 12px;
  font-size: 13px;
  font-weight: normal;
  line-height: 1;
  color: #555555;
  text-align: center;
  background-color: #eeeeee;
  border: 1px solid #ccc;
  border-radius: 2px;
}
.input-group-addon.input-sm {
  padding: 5px 10px;
  font-size: 12px;
  border-radius: 1px;
}
.input-group-addon.input-lg {
  padding: 10px 16px;
  font-size: 17px;
  border-radius: 3px;
}
.input-group-addon input[type="radio"],
.input-group-addon input[type="checkbox"] {
  margin-top: 0;
}
.input-group .form-control:first-child,
.input-group-addon:first-child,
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group > .btn,
.input-group-btn:first-child > .dropdown-toggle,
.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),
.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.input-group-addon:first-child {
  border-right: 0;
}
.input-group .form-control:last-child,
.input-group-addon:last-child,
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group > .btn,
.input-group-btn:last-child > .dropdown-toggle,
.input-group-btn:first-child > .btn:not(:first-child),
.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.input-group-addon:last-child {
  border-left: 0;
}
.input-group-btn {
  position: relative;
  font-size: 0;
  white-space: nowrap;
}
.input-group-btn > .btn {
  position: relative;
}
.input-group-btn > .btn + .btn {
  margin-left: -1px;
}
.input-group-btn > .btn:hover,
.input-group-btn > .btn:focus,
.input-group-btn > .btn:active {
  z-index: 2;
}
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group {
  margin-right: -1px;
}
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group {
  z-index: 2;
  margin-left: -1px;
}
.nav {
  margin-bottom: 0;
  padding-left: 0;
  list-style: none;
}
.nav > li {
  position: relative;
  display: block;
}
.nav > li > a {
  position: relative;
  display: block;
  padding: 10px 15px;
}
.nav > li > a:hover,
.nav > li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.nav > li.disabled > a {
  color: #777777;
}
.nav > li.disabled > a:hover,
.nav > li.disabled > a:focus {
  color: #777777;
  text-decoration: none;
  background-color: transparent;
  cursor: not-allowed;
}
.nav .open > a,
.nav .open > a:hover,
.nav .open > a:focus {
  background-color: #eeeeee;
  border-color: #337ab7;
}
.nav .nav-divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.nav > li > a > img {
  max-width: none;
}
.nav-tabs {
  border-bottom: 1px solid #ddd;
}
.nav-tabs > li {
  float: left;
  margin-bottom: -1px;
}
.nav-tabs > li > a {
  margin-right: 2px;
  line-height: 1.42857143;
  border: 1px solid transparent;
  border-radius: 2px 2px 0 0;
}
.nav-tabs > li > a:hover {
  border-color: #eeeeee #eeeeee #ddd;
}
.nav-tabs > li.active > a,
.nav-tabs > li.active > a:hover,
.nav-tabs > li.active > a:focus {
  color: #555555;
  background-color: #fff;
  border: 1px solid #ddd;
  border-bottom-color: transparent;
  cursor: default;
}
.nav-tabs.nav-justified {
  width: 100%;
  border-bottom: 0;
}
.nav-tabs.nav-justified > li {
  float: none;
}
.nav-tabs.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-tabs.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-tabs.nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs.nav-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs.nav-justified > .active > a,
.nav-tabs.nav-justified > .active > a:hover,
.nav-tabs.nav-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs.nav-justified > .active > a,
  .nav-tabs.nav-justified > .active > a:hover,
  .nav-tabs.nav-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.nav-pills > li {
  float: left;
}
.nav-pills > li > a {
  border-radius: 2px;
}
.nav-pills > li + li {
  margin-left: 2px;
}
.nav-pills > li.active > a,
.nav-pills > li.active > a:hover,
.nav-pills > li.active > a:focus {
  color: #fff;
  background-color: #337ab7;
}
.nav-stacked > li {
  float: none;
}
.nav-stacked > li + li {
  margin-top: 2px;
  margin-left: 0;
}
.nav-justified {
  width: 100%;
}
.nav-justified > li {
  float: none;
}
.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs-justified {
  border-bottom: 0;
}
.nav-tabs-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs-justified > .active > a,
.nav-tabs-justified > .active > a:hover,
.nav-tabs-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs-justified > .active > a,
  .nav-tabs-justified > .active > a:hover,
  .nav-tabs-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.tab-content > .tab-pane {
  display: none;
}
.tab-content > .active {
  display: block;
}
.nav-tabs .dropdown-menu {
  margin-top: -1px;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar {
  position: relative;
  min-height: 30px;
  margin-bottom: 18px;
  border: 1px solid transparent;
}
@media (min-width: 541px) {
  .navbar {
    border-radius: 2px;
  }
}
@media (min-width: 541px) {
  .navbar-header {
    float: left;
  }
}
.navbar-collapse {
  overflow-x: visible;
  padding-right: 0px;
  padding-left: 0px;
  border-top: 1px solid transparent;
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);
  -webkit-overflow-scrolling: touch;
}
.navbar-collapse.in {
  overflow-y: auto;
}
@media (min-width: 541px) {
  .navbar-collapse {
    width: auto;
    border-top: 0;
    box-shadow: none;
  }
  .navbar-collapse.collapse {
    display: block !important;
    height: auto !important;
    padding-bottom: 0;
    overflow: visible !important;
  }
  .navbar-collapse.in {
    overflow-y: visible;
  }
  .navbar-fixed-top .navbar-collapse,
  .navbar-static-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    padding-left: 0;
    padding-right: 0;
  }
}
.navbar-fixed-top .navbar-collapse,
.navbar-fixed-bottom .navbar-collapse {
  max-height: 340px;
}
@media (max-device-width: 540px) and (orientation: landscape) {
  .navbar-fixed-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    max-height: 200px;
  }
}
.container > .navbar-header,
.container-fluid > .navbar-header,
.container > .navbar-collapse,
.container-fluid > .navbar-collapse {
  margin-right: 0px;
  margin-left: 0px;
}
@media (min-width: 541px) {
  .container > .navbar-header,
  .container-fluid > .navbar-header,
  .container > .navbar-collapse,
  .container-fluid > .navbar-collapse {
    margin-right: 0;
    margin-left: 0;
  }
}
.navbar-static-top {
  z-index: 1000;
  border-width: 0 0 1px;
}
@media (min-width: 541px) {
  .navbar-static-top {
    border-radius: 0;
  }
}
.navbar-fixed-top,
.navbar-fixed-bottom {
  position: fixed;
  right: 0;
  left: 0;
  z-index: 1030;
}
@media (min-width: 541px) {
  .navbar-fixed-top,
  .navbar-fixed-bottom {
    border-radius: 0;
  }
}
.navbar-fixed-top {
  top: 0;
  border-width: 0 0 1px;
}
.navbar-fixed-bottom {
  bottom: 0;
  margin-bottom: 0;
  border-width: 1px 0 0;
}
.navbar-brand {
  float: left;
  padding: 6px 0px;
  font-size: 17px;
  line-height: 18px;
  height: 30px;
}
.navbar-brand:hover,
.navbar-brand:focus {
  text-decoration: none;
}
.navbar-brand > img {
  display: block;
}
@media (min-width: 541px) {
  .navbar > .container .navbar-brand,
  .navbar > .container-fluid .navbar-brand {
    margin-left: 0px;
  }
}
.navbar-toggle {
  position: relative;
  float: right;
  margin-right: 0px;
  padding: 9px 10px;
  margin-top: -2px;
  margin-bottom: -2px;
  background-color: transparent;
  background-image: none;
  border: 1px solid transparent;
  border-radius: 2px;
}
.navbar-toggle:focus {
  outline: 0;
}
.navbar-toggle .icon-bar {
  display: block;
  width: 22px;
  height: 2px;
  border-radius: 1px;
}
.navbar-toggle .icon-bar + .icon-bar {
  margin-top: 4px;
}
@media (min-width: 541px) {
  .navbar-toggle {
    display: none;
  }
}
.navbar-nav {
  margin: 3px 0px;
}
.navbar-nav > li > a {
  padding-top: 10px;
  padding-bottom: 10px;
  line-height: 18px;
}
@media (max-width: 540px) {
  .navbar-nav .open .dropdown-menu {
    position: static;
    float: none;
    width: auto;
    margin-top: 0;
    background-color: transparent;
    border: 0;
    box-shadow: none;
  }
  .navbar-nav .open .dropdown-menu > li > a,
  .navbar-nav .open .dropdown-menu .dropdown-header {
    padding: 5px 15px 5px 25px;
  }
  .navbar-nav .open .dropdown-menu > li > a {
    line-height: 18px;
  }
  .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-nav .open .dropdown-menu > li > a:focus {
    background-image: none;
  }
}
@media (min-width: 541px) {
  .navbar-nav {
    float: left;
    margin: 0;
  }
  .navbar-nav > li {
    float: left;
  }
  .navbar-nav > li > a {
    padding-top: 6px;
    padding-bottom: 6px;
  }
}
.navbar-form {
  margin-left: 0px;
  margin-right: 0px;
  padding: 10px 0px;
  border-top: 1px solid transparent;
  border-bottom: 1px solid transparent;
  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  margin-top: -1px;
  margin-bottom: -1px;
}
@media (min-width: 768px) {
  .navbar-form .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .navbar-form .form-control-static {
    display: inline-block;
  }
  .navbar-form .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .navbar-form .input-group .input-group-addon,
  .navbar-form .input-group .input-group-btn,
  .navbar-form .input-group .form-control {
    width: auto;
  }
  .navbar-form .input-group > .form-control {
    width: 100%;
  }
  .navbar-form .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio,
  .navbar-form .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio label,
  .navbar-form .checkbox label {
    padding-left: 0;
  }
  .navbar-form .radio input[type="radio"],
  .navbar-form .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .navbar-form .has-feedback .form-control-feedback {
    top: 0;
  }
}
@media (max-width: 540px) {
  .navbar-form .form-group {
    margin-bottom: 5px;
  }
  .navbar-form .form-group:last-child {
    margin-bottom: 0;
  }
}
@media (min-width: 541px) {
  .navbar-form {
    width: auto;
    border: 0;
    margin-left: 0;
    margin-right: 0;
    padding-top: 0;
    padding-bottom: 0;
    -webkit-box-shadow: none;
    box-shadow: none;
  }
}
.navbar-nav > li > .dropdown-menu {
  margin-top: 0;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
  margin-bottom: 0;
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.navbar-btn {
  margin-top: -1px;
  margin-bottom: -1px;
}
.navbar-btn.btn-sm {
  margin-top: 0px;
  margin-bottom: 0px;
}
.navbar-btn.btn-xs {
  margin-top: 4px;
  margin-bottom: 4px;
}
.navbar-text {
  margin-top: 6px;
  margin-bottom: 6px;
}
@media (min-width: 541px) {
  .navbar-text {
    float: left;
    margin-left: 0px;
    margin-right: 0px;
  }
}
@media (min-width: 541px) {
  .navbar-left {
    float: left !important;
    float: left;
  }
  .navbar-right {
    float: right !important;
    float: right;
    margin-right: 0px;
  }
  .navbar-right ~ .navbar-right {
    margin-right: 0;
  }
}
.navbar-default {
  background-color: #f8f8f8;
  border-color: #e7e7e7;
}
.navbar-default .navbar-brand {
  color: #777;
}
.navbar-default .navbar-brand:hover,
.navbar-default .navbar-brand:focus {
  color: #5e5e5e;
  background-color: transparent;
}
.navbar-default .navbar-text {
  color: #777;
}
.navbar-default .navbar-nav > li > a {
  color: #777;
}
.navbar-default .navbar-nav > li > a:hover,
.navbar-default .navbar-nav > li > a:focus {
  color: #333;
  background-color: transparent;
}
.navbar-default .navbar-nav > .active > a,
.navbar-default .navbar-nav > .active > a:hover,
.navbar-default .navbar-nav > .active > a:focus {
  color: #555;
  background-color: #e7e7e7;
}
.navbar-default .navbar-nav > .disabled > a,
.navbar-default .navbar-nav > .disabled > a:hover,
.navbar-default .navbar-nav > .disabled > a:focus {
  color: #ccc;
  background-color: transparent;
}
.navbar-default .navbar-toggle {
  border-color: #ddd;
}
.navbar-default .navbar-toggle:hover,
.navbar-default .navbar-toggle:focus {
  background-color: #ddd;
}
.navbar-default .navbar-toggle .icon-bar {
  background-color: #888;
}
.navbar-default .navbar-collapse,
.navbar-default .navbar-form {
  border-color: #e7e7e7;
}
.navbar-default .navbar-nav > .open > a,
.navbar-default .navbar-nav > .open > a:hover,
.navbar-default .navbar-nav > .open > a:focus {
  background-color: #e7e7e7;
  color: #555;
}
@media (max-width: 540px) {
  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
    color: #777;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #333;
    background-color: transparent;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #555;
    background-color: #e7e7e7;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #ccc;
    background-color: transparent;
  }
}
.navbar-default .navbar-link {
  color: #777;
}
.navbar-default .navbar-link:hover {
  color: #333;
}
.navbar-default .btn-link {
  color: #777;
}
.navbar-default .btn-link:hover,
.navbar-default .btn-link:focus {
  color: #333;
}
.navbar-default .btn-link[disabled]:hover,
fieldset[disabled] .navbar-default .btn-link:hover,
.navbar-default .btn-link[disabled]:focus,
fieldset[disabled] .navbar-default .btn-link:focus {
  color: #ccc;
}
.navbar-inverse {
  background-color: #222;
  border-color: #080808;
}
.navbar-inverse .navbar-brand {
  color: #9d9d9d;
}
.navbar-inverse .navbar-brand:hover,
.navbar-inverse .navbar-brand:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-text {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a:hover,
.navbar-inverse .navbar-nav > li > a:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-nav > .active > a,
.navbar-inverse .navbar-nav > .active > a:hover,
.navbar-inverse .navbar-nav > .active > a:focus {
  color: #fff;
  background-color: #080808;
}
.navbar-inverse .navbar-nav > .disabled > a,
.navbar-inverse .navbar-nav > .disabled > a:hover,
.navbar-inverse .navbar-nav > .disabled > a:focus {
  color: #444;
  background-color: transparent;
}
.navbar-inverse .navbar-toggle {
  border-color: #333;
}
.navbar-inverse .navbar-toggle:hover,
.navbar-inverse .navbar-toggle:focus {
  background-color: #333;
}
.navbar-inverse .navbar-toggle .icon-bar {
  background-color: #fff;
}
.navbar-inverse .navbar-collapse,
.navbar-inverse .navbar-form {
  border-color: #101010;
}
.navbar-inverse .navbar-nav > .open > a,
.navbar-inverse .navbar-nav > .open > a:hover,
.navbar-inverse .navbar-nav > .open > a:focus {
  background-color: #080808;
  color: #fff;
}
@media (max-width: 540px) {
  .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {
    border-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu .divider {
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a {
    color: #9d9d9d;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #fff;
    background-color: transparent;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #fff;
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #444;
    background-color: transparent;
  }
}
.navbar-inverse .navbar-link {
  color: #9d9d9d;
}
.navbar-inverse .navbar-link:hover {
  color: #fff;
}
.navbar-inverse .btn-link {
  color: #9d9d9d;
}
.navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link:focus {
  color: #fff;
}
.navbar-inverse .btn-link[disabled]:hover,
fieldset[disabled] .navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link[disabled]:focus,
fieldset[disabled] .navbar-inverse .btn-link:focus {
  color: #444;
}
.breadcrumb {
  padding: 8px 15px;
  margin-bottom: 18px;
  list-style: none;
  background-color: #f5f5f5;
  border-radius: 2px;
}
.breadcrumb > li {
  display: inline-block;
}
.breadcrumb > li + li:before {
  content: "/\00a0";
  padding: 0 5px;
  color: #5e5e5e;
}
.breadcrumb > .active {
  color: #777777;
}
.pagination {
  display: inline-block;
  padding-left: 0;
  margin: 18px 0;
  border-radius: 2px;
}
.pagination > li {
  display: inline;
}
.pagination > li > a,
.pagination > li > span {
  position: relative;
  float: left;
  padding: 6px 12px;
  line-height: 1.42857143;
  text-decoration: none;
  color: #337ab7;
  background-color: #fff;
  border: 1px solid #ddd;
  margin-left: -1px;
}
.pagination > li:first-child > a,
.pagination > li:first-child > span {
  margin-left: 0;
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.pagination > li:last-child > a,
.pagination > li:last-child > span {
  border-bottom-right-radius: 2px;
  border-top-right-radius: 2px;
}
.pagination > li > a:hover,
.pagination > li > span:hover,
.pagination > li > a:focus,
.pagination > li > span:focus {
  z-index: 2;
  color: #23527c;
  background-color: #eeeeee;
  border-color: #ddd;
}
.pagination > .active > a,
.pagination > .active > span,
.pagination > .active > a:hover,
.pagination > .active > span:hover,
.pagination > .active > a:focus,
.pagination > .active > span:focus {
  z-index: 3;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
  cursor: default;
}
.pagination > .disabled > span,
.pagination > .disabled > span:hover,
.pagination > .disabled > span:focus,
.pagination > .disabled > a,
.pagination > .disabled > a:hover,
.pagination > .disabled > a:focus {
  color: #777777;
  background-color: #fff;
  border-color: #ddd;
  cursor: not-allowed;
}
.pagination-lg > li > a,
.pagination-lg > li > span {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.pagination-lg > li:first-child > a,
.pagination-lg > li:first-child > span {
  border-bottom-left-radius: 3px;
  border-top-left-radius: 3px;
}
.pagination-lg > li:last-child > a,
.pagination-lg > li:last-child > span {
  border-bottom-right-radius: 3px;
  border-top-right-radius: 3px;
}
.pagination-sm > li > a,
.pagination-sm > li > span {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.pagination-sm > li:first-child > a,
.pagination-sm > li:first-child > span {
  border-bottom-left-radius: 1px;
  border-top-left-radius: 1px;
}
.pagination-sm > li:last-child > a,
.pagination-sm > li:last-child > span {
  border-bottom-right-radius: 1px;
  border-top-right-radius: 1px;
}
.pager {
  padding-left: 0;
  margin: 18px 0;
  list-style: none;
  text-align: center;
}
.pager li {
  display: inline;
}
.pager li > a,
.pager li > span {
  display: inline-block;
  padding: 5px 14px;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 15px;
}
.pager li > a:hover,
.pager li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.pager .next > a,
.pager .next > span {
  float: right;
}
.pager .previous > a,
.pager .previous > span {
  float: left;
}
.pager .disabled > a,
.pager .disabled > a:hover,
.pager .disabled > a:focus,
.pager .disabled > span {
  color: #777777;
  background-color: #fff;
  cursor: not-allowed;
}
.label {
  display: inline;
  padding: .2em .6em .3em;
  font-size: 75%;
  font-weight: bold;
  line-height: 1;
  color: #fff;
  text-align: center;
  white-space: nowrap;
  vertical-align: baseline;
  border-radius: .25em;
}
a.label:hover,
a.label:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.label:empty {
  display: none;
}
.btn .label {
  position: relative;
  top: -1px;
}
.label-default {
  background-color: #777777;
}
.label-default[href]:hover,
.label-default[href]:focus {
  background-color: #5e5e5e;
}
.label-primary {
  background-color: #337ab7;
}
.label-primary[href]:hover,
.label-primary[href]:focus {
  background-color: #286090;
}
.label-success {
  background-color: #5cb85c;
}
.label-success[href]:hover,
.label-success[href]:focus {
  background-color: #449d44;
}
.label-info {
  background-color: #5bc0de;
}
.label-info[href]:hover,
.label-info[href]:focus {
  background-color: #31b0d5;
}
.label-warning {
  background-color: #f0ad4e;
}
.label-warning[href]:hover,
.label-warning[href]:focus {
  background-color: #ec971f;
}
.label-danger {
  background-color: #d9534f;
}
.label-danger[href]:hover,
.label-danger[href]:focus {
  background-color: #c9302c;
}
.badge {
  display: inline-block;
  min-width: 10px;
  padding: 3px 7px;
  font-size: 12px;
  font-weight: bold;
  color: #fff;
  line-height: 1;
  vertical-align: middle;
  white-space: nowrap;
  text-align: center;
  background-color: #777777;
  border-radius: 10px;
}
.badge:empty {
  display: none;
}
.btn .badge {
  position: relative;
  top: -1px;
}
.btn-xs .badge,
.btn-group-xs > .btn .badge {
  top: 0;
  padding: 1px 5px;
}
a.badge:hover,
a.badge:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.list-group-item.active > .badge,
.nav-pills > .active > a > .badge {
  color: #337ab7;
  background-color: #fff;
}
.list-group-item > .badge {
  float: right;
}
.list-group-item > .badge + .badge {
  margin-right: 5px;
}
.nav-pills > li > a > .badge {
  margin-left: 3px;
}
.jumbotron {
  padding-top: 30px;
  padding-bottom: 30px;
  margin-bottom: 30px;
  color: inherit;
  background-color: #eeeeee;
}
.jumbotron h1,
.jumbotron .h1 {
  color: inherit;
}
.jumbotron p {
  margin-bottom: 15px;
  font-size: 20px;
  font-weight: 200;
}
.jumbotron > hr {
  border-top-color: #d5d5d5;
}
.container .jumbotron,
.container-fluid .jumbotron {
  border-radius: 3px;
  padding-left: 0px;
  padding-right: 0px;
}
.jumbotron .container {
  max-width: 100%;
}
@media screen and (min-width: 768px) {
  .jumbotron {
    padding-top: 48px;
    padding-bottom: 48px;
  }
  .container .jumbotron,
  .container-fluid .jumbotron {
    padding-left: 60px;
    padding-right: 60px;
  }
  .jumbotron h1,
  .jumbotron .h1 {
    font-size: 59px;
  }
}
.thumbnail {
  display: block;
  padding: 4px;
  margin-bottom: 18px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: border 0.2s ease-in-out;
  -o-transition: border 0.2s ease-in-out;
  transition: border 0.2s ease-in-out;
}
.thumbnail > img,
.thumbnail a > img {
  margin-left: auto;
  margin-right: auto;
}
a.thumbnail:hover,
a.thumbnail:focus,
a.thumbnail.active {
  border-color: #337ab7;
}
.thumbnail .caption {
  padding: 9px;
  color: #000;
}
.alert {
  padding: 15px;
  margin-bottom: 18px;
  border: 1px solid transparent;
  border-radius: 2px;
}
.alert h4 {
  margin-top: 0;
  color: inherit;
}
.alert .alert-link {
  font-weight: bold;
}
.alert > p,
.alert > ul {
  margin-bottom: 0;
}
.alert > p + p {
  margin-top: 5px;
}
.alert-dismissable,
.alert-dismissible {
  padding-right: 35px;
}
.alert-dismissable .close,
.alert-dismissible .close {
  position: relative;
  top: -2px;
  right: -21px;
  color: inherit;
}
.alert-success {
  background-color: #dff0d8;
  border-color: #d6e9c6;
  color: #3c763d;
}
.alert-success hr {
  border-top-color: #c9e2b3;
}
.alert-success .alert-link {
  color: #2b542c;
}
.alert-info {
  background-color: #d9edf7;
  border-color: #bce8f1;
  color: #31708f;
}
.alert-info hr {
  border-top-color: #a6e1ec;
}
.alert-info .alert-link {
  color: #245269;
}
.alert-warning {
  background-color: #fcf8e3;
  border-color: #faebcc;
  color: #8a6d3b;
}
.alert-warning hr {
  border-top-color: #f7e1b5;
}
.alert-warning .alert-link {
  color: #66512c;
}
.alert-danger {
  background-color: #f2dede;
  border-color: #ebccd1;
  color: #a94442;
}
.alert-danger hr {
  border-top-color: #e4b9c0;
}
.alert-danger .alert-link {
  color: #843534;
}
@-webkit-keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
@keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
.progress {
  overflow: hidden;
  height: 18px;
  margin-bottom: 18px;
  background-color: #f5f5f5;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
  box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
}
.progress-bar {
  float: left;
  width: 0%;
  height: 100%;
  font-size: 12px;
  line-height: 18px;
  color: #fff;
  text-align: center;
  background-color: #337ab7;
  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  -webkit-transition: width 0.6s ease;
  -o-transition: width 0.6s ease;
  transition: width 0.6s ease;
}
.progress-striped .progress-bar,
.progress-bar-striped {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-size: 40px 40px;
}
.progress.active .progress-bar,
.progress-bar.active {
  -webkit-animation: progress-bar-stripes 2s linear infinite;
  -o-animation: progress-bar-stripes 2s linear infinite;
  animation: progress-bar-stripes 2s linear infinite;
}
.progress-bar-success {
  background-color: #5cb85c;
}
.progress-striped .progress-bar-success {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-info {
  background-color: #5bc0de;
}
.progress-striped .progress-bar-info {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-warning {
  background-color: #f0ad4e;
}
.progress-striped .progress-bar-warning {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-danger {
  background-color: #d9534f;
}
.progress-striped .progress-bar-danger {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.media {
  margin-top: 15px;
}
.media:first-child {
  margin-top: 0;
}
.media,
.media-body {
  zoom: 1;
  overflow: hidden;
}
.media-body {
  width: 10000px;
}
.media-object {
  display: block;
}
.media-object.img-thumbnail {
  max-width: none;
}
.media-right,
.media > .pull-right {
  padding-left: 10px;
}
.media-left,
.media > .pull-left {
  padding-right: 10px;
}
.media-left,
.media-right,
.media-body {
  display: table-cell;
  vertical-align: top;
}
.media-middle {
  vertical-align: middle;
}
.media-bottom {
  vertical-align: bottom;
}
.media-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.media-list {
  padding-left: 0;
  list-style: none;
}
.list-group {
  margin-bottom: 20px;
  padding-left: 0;
}
.list-group-item {
  position: relative;
  display: block;
  padding: 10px 15px;
  margin-bottom: -1px;
  background-color: #fff;
  border: 1px solid #ddd;
}
.list-group-item:first-child {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
}
.list-group-item:last-child {
  margin-bottom: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
a.list-group-item,
button.list-group-item {
  color: #555;
}
a.list-group-item .list-group-item-heading,
button.list-group-item .list-group-item-heading {
  color: #333;
}
a.list-group-item:hover,
button.list-group-item:hover,
a.list-group-item:focus,
button.list-group-item:focus {
  text-decoration: none;
  color: #555;
  background-color: #f5f5f5;
}
button.list-group-item {
  width: 100%;
  text-align: left;
}
.list-group-item.disabled,
.list-group-item.disabled:hover,
.list-group-item.disabled:focus {
  background-color: #eeeeee;
  color: #777777;
  cursor: not-allowed;
}
.list-group-item.disabled .list-group-item-heading,
.list-group-item.disabled:hover .list-group-item-heading,
.list-group-item.disabled:focus .list-group-item-heading {
  color: inherit;
}
.list-group-item.disabled .list-group-item-text,
.list-group-item.disabled:hover .list-group-item-text,
.list-group-item.disabled:focus .list-group-item-text {
  color: #777777;
}
.list-group-item.active,
.list-group-item.active:hover,
.list-group-item.active:focus {
  z-index: 2;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.list-group-item.active .list-group-item-heading,
.list-group-item.active:hover .list-group-item-heading,
.list-group-item.active:focus .list-group-item-heading,
.list-group-item.active .list-group-item-heading > small,
.list-group-item.active:hover .list-group-item-heading > small,
.list-group-item.active:focus .list-group-item-heading > small,
.list-group-item.active .list-group-item-heading > .small,
.list-group-item.active:hover .list-group-item-heading > .small,
.list-group-item.active:focus .list-group-item-heading > .small {
  color: inherit;
}
.list-group-item.active .list-group-item-text,
.list-group-item.active:hover .list-group-item-text,
.list-group-item.active:focus .list-group-item-text {
  color: #c7ddef;
}
.list-group-item-success {
  color: #3c763d;
  background-color: #dff0d8;
}
a.list-group-item-success,
button.list-group-item-success {
  color: #3c763d;
}
a.list-group-item-success .list-group-item-heading,
button.list-group-item-success .list-group-item-heading {
  color: inherit;
}
a.list-group-item-success:hover,
button.list-group-item-success:hover,
a.list-group-item-success:focus,
button.list-group-item-success:focus {
  color: #3c763d;
  background-color: #d0e9c6;
}
a.list-group-item-success.active,
button.list-group-item-success.active,
a.list-group-item-success.active:hover,
button.list-group-item-success.active:hover,
a.list-group-item-success.active:focus,
button.list-group-item-success.active:focus {
  color: #fff;
  background-color: #3c763d;
  border-color: #3c763d;
}
.list-group-item-info {
  color: #31708f;
  background-color: #d9edf7;
}
a.list-group-item-info,
button.list-group-item-info {
  color: #31708f;
}
a.list-group-item-info .list-group-item-heading,
button.list-group-item-info .list-group-item-heading {
  color: inherit;
}
a.list-group-item-info:hover,
button.list-group-item-info:hover,
a.list-group-item-info:focus,
button.list-group-item-info:focus {
  color: #31708f;
  background-color: #c4e3f3;
}
a.list-group-item-info.active,
button.list-group-item-info.active,
a.list-group-item-info.active:hover,
button.list-group-item-info.active:hover,
a.list-group-item-info.active:focus,
button.list-group-item-info.active:focus {
  color: #fff;
  background-color: #31708f;
  border-color: #31708f;
}
.list-group-item-warning {
  color: #8a6d3b;
  background-color: #fcf8e3;
}
a.list-group-item-warning,
button.list-group-item-warning {
  color: #8a6d3b;
}
a.list-group-item-warning .list-group-item-heading,
button.list-group-item-warning .list-group-item-heading {
  color: inherit;
}
a.list-group-item-warning:hover,
button.list-group-item-warning:hover,
a.list-group-item-warning:focus,
button.list-group-item-warning:focus {
  color: #8a6d3b;
  background-color: #faf2cc;
}
a.list-group-item-warning.active,
button.list-group-item-warning.active,
a.list-group-item-warning.active:hover,
button.list-group-item-warning.active:hover,
a.list-group-item-warning.active:focus,
button.list-group-item-warning.active:focus {
  color: #fff;
  background-color: #8a6d3b;
  border-color: #8a6d3b;
}
.list-group-item-danger {
  color: #a94442;
  background-color: #f2dede;
}
a.list-group-item-danger,
button.list-group-item-danger {
  color: #a94442;
}
a.list-group-item-danger .list-group-item-heading,
button.list-group-item-danger .list-group-item-heading {
  color: inherit;
}
a.list-group-item-danger:hover,
button.list-group-item-danger:hover,
a.list-group-item-danger:focus,
button.list-group-item-danger:focus {
  color: #a94442;
  background-color: #ebcccc;
}
a.list-group-item-danger.active,
button.list-group-item-danger.active,
a.list-group-item-danger.active:hover,
button.list-group-item-danger.active:hover,
a.list-group-item-danger.active:focus,
button.list-group-item-danger.active:focus {
  color: #fff;
  background-color: #a94442;
  border-color: #a94442;
}
.list-group-item-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.list-group-item-text {
  margin-bottom: 0;
  line-height: 1.3;
}
.panel {
  margin-bottom: 18px;
  background-color: #fff;
  border: 1px solid transparent;
  border-radius: 2px;
  -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
}
.panel-body {
  padding: 15px;
}
.panel-heading {
  padding: 10px 15px;
  border-bottom: 1px solid transparent;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel-heading > .dropdown .dropdown-toggle {
  color: inherit;
}
.panel-title {
  margin-top: 0;
  margin-bottom: 0;
  font-size: 15px;
  color: inherit;
}
.panel-title > a,
.panel-title > small,
.panel-title > .small,
.panel-title > small > a,
.panel-title > .small > a {
  color: inherit;
}
.panel-footer {
  padding: 10px 15px;
  background-color: #f5f5f5;
  border-top: 1px solid #ddd;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .list-group,
.panel > .panel-collapse > .list-group {
  margin-bottom: 0;
}
.panel > .list-group .list-group-item,
.panel > .panel-collapse > .list-group .list-group-item {
  border-width: 1px 0;
  border-radius: 0;
}
.panel > .list-group:first-child .list-group-item:first-child,
.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {
  border-top: 0;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .list-group:last-child .list-group-item:last-child,
.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {
  border-bottom: 0;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.panel-heading + .list-group .list-group-item:first-child {
  border-top-width: 0;
}
.list-group + .panel-footer {
  border-top-width: 0;
}
.panel > .table,
.panel > .table-responsive > .table,
.panel > .panel-collapse > .table {
  margin-bottom: 0;
}
.panel > .table caption,
.panel > .table-responsive > .table caption,
.panel > .panel-collapse > .table caption {
  padding-left: 15px;
  padding-right: 15px;
}
.panel > .table:first-child,
.panel > .table-responsive:first-child > .table:first-child {
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {
  border-top-left-radius: 1px;
  border-top-right-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {
  border-top-right-radius: 1px;
}
.panel > .table:last-child,
.panel > .table-responsive:last-child > .table:last-child {
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {
  border-bottom-left-radius: 1px;
  border-bottom-right-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {
  border-bottom-right-radius: 1px;
}
.panel > .panel-body + .table,
.panel > .panel-body + .table-responsive,
.panel > .table + .panel-body,
.panel > .table-responsive + .panel-body {
  border-top: 1px solid #ddd;
}
.panel > .table > tbody:first-child > tr:first-child th,
.panel > .table > tbody:first-child > tr:first-child td {
  border-top: 0;
}
.panel > .table-bordered,
.panel > .table-responsive > .table-bordered {
  border: 0;
}
.panel > .table-bordered > thead > tr > th:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,
.panel > .table-bordered > tbody > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,
.panel > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-bordered > thead > tr > td:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,
.panel > .table-bordered > tbody > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,
.panel > .table-bordered > tfoot > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {
  border-left: 0;
}
.panel > .table-bordered > thead > tr > th:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,
.panel > .table-bordered > tbody > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,
.panel > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-bordered > thead > tr > td:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,
.panel > .table-bordered > tbody > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,
.panel > .table-bordered > tfoot > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {
  border-right: 0;
}
.panel > .table-bordered > thead > tr:first-child > td,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,
.panel > .table-bordered > tbody > tr:first-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,
.panel > .table-bordered > thead > tr:first-child > th,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,
.panel > .table-bordered > tbody > tr:first-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {
  border-bottom: 0;
}
.panel > .table-bordered > tbody > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,
.panel > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-bordered > tbody > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,
.panel > .table-bordered > tfoot > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {
  border-bottom: 0;
}
.panel > .table-responsive {
  border: 0;
  margin-bottom: 0;
}
.panel-group {
  margin-bottom: 18px;
}
.panel-group .panel {
  margin-bottom: 0;
  border-radius: 2px;
}
.panel-group .panel + .panel {
  margin-top: 5px;
}
.panel-group .panel-heading {
  border-bottom: 0;
}
.panel-group .panel-heading + .panel-collapse > .panel-body,
.panel-group .panel-heading + .panel-collapse > .list-group {
  border-top: 1px solid #ddd;
}
.panel-group .panel-footer {
  border-top: 0;
}
.panel-group .panel-footer + .panel-collapse .panel-body {
  border-bottom: 1px solid #ddd;
}
.panel-default {
  border-color: #ddd;
}
.panel-default > .panel-heading {
  color: #333333;
  background-color: #f5f5f5;
  border-color: #ddd;
}
.panel-default > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ddd;
}
.panel-default > .panel-heading .badge {
  color: #f5f5f5;
  background-color: #333333;
}
.panel-default > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ddd;
}
.panel-primary {
  border-color: #337ab7;
}
.panel-primary > .panel-heading {
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.panel-primary > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #337ab7;
}
.panel-primary > .panel-heading .badge {
  color: #337ab7;
  background-color: #fff;
}
.panel-primary > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #337ab7;
}
.panel-success {
  border-color: #d6e9c6;
}
.panel-success > .panel-heading {
  color: #3c763d;
  background-color: #dff0d8;
  border-color: #d6e9c6;
}
.panel-success > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #d6e9c6;
}
.panel-success > .panel-heading .badge {
  color: #dff0d8;
  background-color: #3c763d;
}
.panel-success > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #d6e9c6;
}
.panel-info {
  border-color: #bce8f1;
}
.panel-info > .panel-heading {
  color: #31708f;
  background-color: #d9edf7;
  border-color: #bce8f1;
}
.panel-info > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #bce8f1;
}
.panel-info > .panel-heading .badge {
  color: #d9edf7;
  background-color: #31708f;
}
.panel-info > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #bce8f1;
}
.panel-warning {
  border-color: #faebcc;
}
.panel-warning > .panel-heading {
  color: #8a6d3b;
  background-color: #fcf8e3;
  border-color: #faebcc;
}
.panel-warning > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #faebcc;
}
.panel-warning > .panel-heading .badge {
  color: #fcf8e3;
  background-color: #8a6d3b;
}
.panel-warning > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #faebcc;
}
.panel-danger {
  border-color: #ebccd1;
}
.panel-danger > .panel-heading {
  color: #a94442;
  background-color: #f2dede;
  border-color: #ebccd1;
}
.panel-danger > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ebccd1;
}
.panel-danger > .panel-heading .badge {
  color: #f2dede;
  background-color: #a94442;
}
.panel-danger > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ebccd1;
}
.embed-responsive {
  position: relative;
  display: block;
  height: 0;
  padding: 0;
  overflow: hidden;
}
.embed-responsive .embed-responsive-item,
.embed-responsive iframe,
.embed-responsive embed,
.embed-responsive object,
.embed-responsive video {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  height: 100%;
  width: 100%;
  border: 0;
}
.embed-responsive-16by9 {
  padding-bottom: 56.25%;
}
.embed-responsive-4by3 {
  padding-bottom: 75%;
}
.well {
  min-height: 20px;
  padding: 19px;
  margin-bottom: 20px;
  background-color: #f5f5f5;
  border: 1px solid #e3e3e3;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
}
.well blockquote {
  border-color: #ddd;
  border-color: rgba(0, 0, 0, 0.15);
}
.well-lg {
  padding: 24px;
  border-radius: 3px;
}
.well-sm {
  padding: 9px;
  border-radius: 1px;
}
.close {
  float: right;
  font-size: 19.5px;
  font-weight: bold;
  line-height: 1;
  color: #000;
  text-shadow: 0 1px 0 #fff;
  opacity: 0.2;
  filter: alpha(opacity=20);
}
.close:hover,
.close:focus {
  color: #000;
  text-decoration: none;
  cursor: pointer;
  opacity: 0.5;
  filter: alpha(opacity=50);
}
button.close {
  padding: 0;
  cursor: pointer;
  background: transparent;
  border: 0;
  -webkit-appearance: none;
}
.modal-open {
  overflow: hidden;
}
.modal {
  display: none;
  overflow: hidden;
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1050;
  -webkit-overflow-scrolling: touch;
  outline: 0;
}
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, -25%);
  -ms-transform: translate(0, -25%);
  -o-transform: translate(0, -25%);
  transform: translate(0, -25%);
  -webkit-transition: -webkit-transform 0.3s ease-out;
  -moz-transition: -moz-transform 0.3s ease-out;
  -o-transition: -o-transform 0.3s ease-out;
  transition: transform 0.3s ease-out;
}
.modal.in .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
.modal-open .modal {
  overflow-x: hidden;
  overflow-y: auto;
}
.modal-dialog {
  position: relative;
  width: auto;
  margin: 10px;
}
.modal-content {
  position: relative;
  background-color: #fff;
  border: 1px solid #999;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  background-clip: padding-box;
  outline: 0;
}
.modal-backdrop {
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1040;
  background-color: #000;
}
.modal-backdrop.fade {
  opacity: 0;
  filter: alpha(opacity=0);
}
.modal-backdrop.in {
  opacity: 0.5;
  filter: alpha(opacity=50);
}
.modal-header {
  padding: 15px;
  border-bottom: 1px solid #e5e5e5;
}
.modal-header .close {
  margin-top: -2px;
}
.modal-title {
  margin: 0;
  line-height: 1.42857143;
}
.modal-body {
  position: relative;
  padding: 15px;
}
.modal-footer {
  padding: 15px;
  text-align: right;
  border-top: 1px solid #e5e5e5;
}
.modal-footer .btn + .btn {
  margin-left: 5px;
  margin-bottom: 0;
}
.modal-footer .btn-group .btn + .btn {
  margin-left: -1px;
}
.modal-footer .btn-block + .btn-block {
  margin-left: 0;
}
.modal-scrollbar-measure {
  position: absolute;
  top: -9999px;
  width: 50px;
  height: 50px;
  overflow: scroll;
}
@media (min-width: 768px) {
  .modal-dialog {
    width: 600px;
    margin: 30px auto;
  }
  .modal-content {
    -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
  }
  .modal-sm {
    width: 300px;
  }
}
@media (min-width: 992px) {
  .modal-lg {
    width: 900px;
  }
}
.tooltip {
  position: absolute;
  z-index: 1070;
  display: block;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 12px;
  opacity: 0;
  filter: alpha(opacity=0);
}
.tooltip.in {
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.tooltip.top {
  margin-top: -3px;
  padding: 5px 0;
}
.tooltip.right {
  margin-left: 3px;
  padding: 0 5px;
}
.tooltip.bottom {
  margin-top: 3px;
  padding: 5px 0;
}
.tooltip.left {
  margin-left: -3px;
  padding: 0 5px;
}
.tooltip-inner {
  max-width: 200px;
  padding: 3px 8px;
  color: #fff;
  text-align: center;
  background-color: #000;
  border-radius: 2px;
}
.tooltip-arrow {
  position: absolute;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.tooltip.top .tooltip-arrow {
  bottom: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-left .tooltip-arrow {
  bottom: 0;
  right: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-right .tooltip-arrow {
  bottom: 0;
  left: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.right .tooltip-arrow {
  top: 50%;
  left: 0;
  margin-top: -5px;
  border-width: 5px 5px 5px 0;
  border-right-color: #000;
}
.tooltip.left .tooltip-arrow {
  top: 50%;
  right: 0;
  margin-top: -5px;
  border-width: 5px 0 5px 5px;
  border-left-color: #000;
}
.tooltip.bottom .tooltip-arrow {
  top: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-left .tooltip-arrow {
  top: 0;
  right: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-right .tooltip-arrow {
  top: 0;
  left: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.popover {
  position: absolute;
  top: 0;
  left: 0;
  z-index: 1060;
  display: none;
  max-width: 276px;
  padding: 1px;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 13px;
  background-color: #fff;
  background-clip: padding-box;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
  box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
}
.popover.top {
  margin-top: -10px;
}
.popover.right {
  margin-left: 10px;
}
.popover.bottom {
  margin-top: 10px;
}
.popover.left {
  margin-left: -10px;
}
.popover-title {
  margin: 0;
  padding: 8px 14px;
  font-size: 13px;
  background-color: #f7f7f7;
  border-bottom: 1px solid #ebebeb;
  border-radius: 2px 2px 0 0;
}
.popover-content {
  padding: 9px 14px;
}
.popover > .arrow,
.popover > .arrow:after {
  position: absolute;
  display: block;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.popover > .arrow {
  border-width: 11px;
}
.popover > .arrow:after {
  border-width: 10px;
  content: "";
}
.popover.top > .arrow {
  left: 50%;
  margin-left: -11px;
  border-bottom-width: 0;
  border-top-color: #999999;
  border-top-color: rgba(0, 0, 0, 0.25);
  bottom: -11px;
}
.popover.top > .arrow:after {
  content: " ";
  bottom: 1px;
  margin-left: -10px;
  border-bottom-width: 0;
  border-top-color: #fff;
}
.popover.right > .arrow {
  top: 50%;
  left: -11px;
  margin-top: -11px;
  border-left-width: 0;
  border-right-color: #999999;
  border-right-color: rgba(0, 0, 0, 0.25);
}
.popover.right > .arrow:after {
  content: " ";
  left: 1px;
  bottom: -10px;
  border-left-width: 0;
  border-right-color: #fff;
}
.popover.bottom > .arrow {
  left: 50%;
  margin-left: -11px;
  border-top-width: 0;
  border-bottom-color: #999999;
  border-bottom-color: rgba(0, 0, 0, 0.25);
  top: -11px;
}
.popover.bottom > .arrow:after {
  content: " ";
  top: 1px;
  margin-left: -10px;
  border-top-width: 0;
  border-bottom-color: #fff;
}
.popover.left > .arrow {
  top: 50%;
  right: -11px;
  margin-top: -11px;
  border-right-width: 0;
  border-left-color: #999999;
  border-left-color: rgba(0, 0, 0, 0.25);
}
.popover.left > .arrow:after {
  content: " ";
  right: 1px;
  border-right-width: 0;
  border-left-color: #fff;
  bottom: -10px;
}
.carousel {
  position: relative;
}
.carousel-inner {
  position: relative;
  overflow: hidden;
  width: 100%;
}
.carousel-inner > .item {
  display: none;
  position: relative;
  -webkit-transition: 0.6s ease-in-out left;
  -o-transition: 0.6s ease-in-out left;
  transition: 0.6s ease-in-out left;
}
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  line-height: 1;
}
@media all and (transform-3d), (-webkit-transform-3d) {
  .carousel-inner > .item {
    -webkit-transition: -webkit-transform 0.6s ease-in-out;
    -moz-transition: -moz-transform 0.6s ease-in-out;
    -o-transition: -o-transform 0.6s ease-in-out;
    transition: transform 0.6s ease-in-out;
    -webkit-backface-visibility: hidden;
    -moz-backface-visibility: hidden;
    backface-visibility: hidden;
    -webkit-perspective: 1000px;
    -moz-perspective: 1000px;
    perspective: 1000px;
  }
  .carousel-inner > .item.next,
  .carousel-inner > .item.active.right {
    -webkit-transform: translate3d(100%, 0, 0);
    transform: translate3d(100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.prev,
  .carousel-inner > .item.active.left {
    -webkit-transform: translate3d(-100%, 0, 0);
    transform: translate3d(-100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.next.left,
  .carousel-inner > .item.prev.right,
  .carousel-inner > .item.active {
    -webkit-transform: translate3d(0, 0, 0);
    transform: translate3d(0, 0, 0);
    left: 0;
  }
}
.carousel-inner > .active,
.carousel-inner > .next,
.carousel-inner > .prev {
  display: block;
}
.carousel-inner > .active {
  left: 0;
}
.carousel-inner > .next,
.carousel-inner > .prev {
  position: absolute;
  top: 0;
  width: 100%;
}
.carousel-inner > .next {
  left: 100%;
}
.carousel-inner > .prev {
  left: -100%;
}
.carousel-inner > .next.left,
.carousel-inner > .prev.right {
  left: 0;
}
.carousel-inner > .active.left {
  left: -100%;
}
.carousel-inner > .active.right {
  left: 100%;
}
.carousel-control {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  width: 15%;
  opacity: 0.5;
  filter: alpha(opacity=50);
  font-size: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
  background-color: rgba(0, 0, 0, 0);
}
.carousel-control.left {
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);
}
.carousel-control.right {
  left: auto;
  right: 0;
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);
}
.carousel-control:hover,
.carousel-control:focus {
  outline: 0;
  color: #fff;
  text-decoration: none;
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.carousel-control .icon-prev,
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-left,
.carousel-control .glyphicon-chevron-right {
  position: absolute;
  top: 50%;
  margin-top: -10px;
  z-index: 5;
  display: inline-block;
}
.carousel-control .icon-prev,
.carousel-control .glyphicon-chevron-left {
  left: 50%;
  margin-left: -10px;
}
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-right {
  right: 50%;
  margin-right: -10px;
}
.carousel-control .icon-prev,
.carousel-control .icon-next {
  width: 20px;
  height: 20px;
  line-height: 1;
  font-family: serif;
}
.carousel-control .icon-prev:before {
  content: '\2039';
}
.carousel-control .icon-next:before {
  content: '\203a';
}
.carousel-indicators {
  position: absolute;
  bottom: 10px;
  left: 50%;
  z-index: 15;
  width: 60%;
  margin-left: -30%;
  padding-left: 0;
  list-style: none;
  text-align: center;
}
.carousel-indicators li {
  display: inline-block;
  width: 10px;
  height: 10px;
  margin: 1px;
  text-indent: -999px;
  border: 1px solid #fff;
  border-radius: 10px;
  cursor: pointer;
  background-color: #000 \9;
  background-color: rgba(0, 0, 0, 0);
}
.carousel-indicators .active {
  margin: 0;
  width: 12px;
  height: 12px;
  background-color: #fff;
}
.carousel-caption {
  position: absolute;
  left: 15%;
  right: 15%;
  bottom: 20px;
  z-index: 10;
  padding-top: 20px;
  padding-bottom: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
}
.carousel-caption .btn {
  text-shadow: none;
}
@media screen and (min-width: 768px) {
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-prev,
  .carousel-control .icon-next {
    width: 30px;
    height: 30px;
    margin-top: -10px;
    font-size: 30px;
  }
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .icon-prev {
    margin-left: -10px;
  }
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-next {
    margin-right: -10px;
  }
  .carousel-caption {
    left: 20%;
    right: 20%;
    padding-bottom: 30px;
  }
  .carousel-indicators {
    bottom: 20px;
  }
}
.clearfix:before,
.clearfix:after,
.dl-horizontal dd:before,
.dl-horizontal dd:after,
.container:before,
.container:after,
.container-fluid:before,
.container-fluid:after,
.row:before,
.row:after,
.form-horizontal .form-group:before,
.form-horizontal .form-group:after,
.btn-toolbar:before,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:before,
.btn-group-vertical > .btn-group:after,
.nav:before,
.nav:after,
.navbar:before,
.navbar:after,
.navbar-header:before,
.navbar-header:after,
.navbar-collapse:before,
.navbar-collapse:after,
.pager:before,
.pager:after,
.panel-body:before,
.panel-body:after,
.modal-header:before,
.modal-header:after,
.modal-footer:before,
.modal-footer:after,
.item_buttons:before,
.item_buttons:after {
  content: " ";
  display: table;
}
.clearfix:after,
.dl-horizontal dd:after,
.container:after,
.container-fluid:after,
.row:after,
.form-horizontal .form-group:after,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:after,
.nav:after,
.navbar:after,
.navbar-header:after,
.navbar-collapse:after,
.pager:after,
.panel-body:after,
.modal-header:after,
.modal-footer:after,
.item_buttons:after {
  clear: both;
}
.center-block {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.pull-right {
  float: right !important;
}
.pull-left {
  float: left !important;
}
.hide {
  display: none !important;
}
.show {
  display: block !important;
}
.invisible {
  visibility: hidden;
}
.text-hide {
  font: 0/0 a;
  color: transparent;
  text-shadow: none;
  background-color: transparent;
  border: 0;
}
.hidden {
  display: none !important;
}
.affix {
  position: fixed;
}
@-ms-viewport {
  width: device-width;
}
.visible-xs,
.visible-sm,
.visible-md,
.visible-lg {
  display: none !important;
}
.visible-xs-block,
.visible-xs-inline,
.visible-xs-inline-block,
.visible-sm-block,
.visible-sm-inline,
.visible-sm-inline-block,
.visible-md-block,
.visible-md-inline,
.visible-md-inline-block,
.visible-lg-block,
.visible-lg-inline,
.visible-lg-inline-block {
  display: none !important;
}
@media (max-width: 767px) {
  .visible-xs {
    display: block !important;
  }
  table.visible-xs {
    display: table !important;
  }
  tr.visible-xs {
    display: table-row !important;
  }
  th.visible-xs,
  td.visible-xs {
    display: table-cell !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-block {
    display: block !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline {
    display: inline !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm {
    display: block !important;
  }
  table.visible-sm {
    display: table !important;
  }
  tr.visible-sm {
    display: table-row !important;
  }
  th.visible-sm,
  td.visible-sm {
    display: table-cell !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-block {
    display: block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline {
    display: inline !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md {
    display: block !important;
  }
  table.visible-md {
    display: table !important;
  }
  tr.visible-md {
    display: table-row !important;
  }
  th.visible-md,
  td.visible-md {
    display: table-cell !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-block {
    display: block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline {
    display: inline !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg {
    display: block !important;
  }
  table.visible-lg {
    display: table !important;
  }
  tr.visible-lg {
    display: table-row !important;
  }
  th.visible-lg,
  td.visible-lg {
    display: table-cell !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-block {
    display: block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline {
    display: inline !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline-block {
    display: inline-block !important;
  }
}
@media (max-width: 767px) {
  .hidden-xs {
    display: none !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .hidden-sm {
    display: none !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .hidden-md {
    display: none !important;
  }
}
@media (min-width: 1200px) {
  .hidden-lg {
    display: none !important;
  }
}
.visible-print {
  display: none !important;
}
@media print {
  .visible-print {
    display: block !important;
  }
  table.visible-print {
    display: table !important;
  }
  tr.visible-print {
    display: table-row !important;
  }
  th.visible-print,
  td.visible-print {
    display: table-cell !important;
  }
}
.visible-print-block {
  display: none !important;
}
@media print {
  .visible-print-block {
    display: block !important;
  }
}
.visible-print-inline {
  display: none !important;
}
@media print {
  .visible-print-inline {
    display: inline !important;
  }
}
.visible-print-inline-block {
  display: none !important;
}
@media print {
  .visible-print-inline-block {
    display: inline-block !important;
  }
}
@media print {
  .hidden-print {
    display: none !important;
  }
}
/*!
*
* Font Awesome
*
*/
/*!
 *  Font Awesome 4.7.0 by @davegandy - http://fontawesome.io - @fontawesome
 *  License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)
 */
/* FONT PATH
 * -------------------------- */
@font-face {
  font-family: 'FontAwesome';
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?v=4.7.0');
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.7.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0') format('woff2'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.7.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.7.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.7.0#fontawesomeregular') format('svg');
  font-weight: normal;
  font-style: normal;
}
.fa {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
}
/* makes the font 33% larger relative to the icon container */
.fa-lg {
  font-size: 1.33333333em;
  line-height: 0.75em;
  vertical-align: -15%;
}
.fa-2x {
  font-size: 2em;
}
.fa-3x {
  font-size: 3em;
}
.fa-4x {
  font-size: 4em;
}
.fa-5x {
  font-size: 5em;
}
.fa-fw {
  width: 1.28571429em;
  text-align: center;
}
.fa-ul {
  padding-left: 0;
  margin-left: 2.14285714em;
  list-style-type: none;
}
.fa-ul > li {
  position: relative;
}
.fa-li {
  position: absolute;
  left: -2.14285714em;
  width: 2.14285714em;
  top: 0.14285714em;
  text-align: center;
}
.fa-li.fa-lg {
  left: -1.85714286em;
}
.fa-border {
  padding: .2em .25em .15em;
  border: solid 0.08em #eee;
  border-radius: .1em;
}
.fa-pull-left {
  float: left;
}
.fa-pull-right {
  float: right;
}
.fa.fa-pull-left {
  margin-right: .3em;
}
.fa.fa-pull-right {
  margin-left: .3em;
}
/* Deprecated as of 4.4.0 */
.pull-right {
  float: right;
}
.pull-left {
  float: left;
}
.fa.pull-left {
  margin-right: .3em;
}
.fa.pull-right {
  margin-left: .3em;
}
.fa-spin {
  -webkit-animation: fa-spin 2s infinite linear;
  animation: fa-spin 2s infinite linear;
}
.fa-pulse {
  -webkit-animation: fa-spin 1s infinite steps(8);
  animation: fa-spin 1s infinite steps(8);
}
@-webkit-keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
@keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
.fa-rotate-90 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=1)";
  -webkit-transform: rotate(90deg);
  -ms-transform: rotate(90deg);
  transform: rotate(90deg);
}
.fa-rotate-180 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2)";
  -webkit-transform: rotate(180deg);
  -ms-transform: rotate(180deg);
  transform: rotate(180deg);
}
.fa-rotate-270 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=3)";
  -webkit-transform: rotate(270deg);
  -ms-transform: rotate(270deg);
  transform: rotate(270deg);
}
.fa-flip-horizontal {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1)";
  -webkit-transform: scale(-1, 1);
  -ms-transform: scale(-1, 1);
  transform: scale(-1, 1);
}
.fa-flip-vertical {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1)";
  -webkit-transform: scale(1, -1);
  -ms-transform: scale(1, -1);
  transform: scale(1, -1);
}
:root .fa-rotate-90,
:root .fa-rotate-180,
:root .fa-rotate-270,
:root .fa-flip-horizontal,
:root .fa-flip-vertical {
  filter: none;
}
.fa-stack {
  position: relative;
  display: inline-block;
  width: 2em;
  height: 2em;
  line-height: 2em;
  vertical-align: middle;
}
.fa-stack-1x,
.fa-stack-2x {
  position: absolute;
  left: 0;
  width: 100%;
  text-align: center;
}
.fa-stack-1x {
  line-height: inherit;
}
.fa-stack-2x {
  font-size: 2em;
}
.fa-inverse {
  color: #fff;
}
/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
   readers do not read off random characters that represent icons */
.fa-glass:before {
  content: "\f000";
}
.fa-music:before {
  content: "\f001";
}
.fa-search:before {
  content: "\f002";
}
.fa-envelope-o:before {
  content: "\f003";
}
.fa-heart:before {
  content: "\f004";
}
.fa-star:before {
  content: "\f005";
}
.fa-star-o:before {
  content: "\f006";
}
.fa-user:before {
  content: "\f007";
}
.fa-film:before {
  content: "\f008";
}
.fa-th-large:before {
  content: "\f009";
}
.fa-th:before {
  content: "\f00a";
}
.fa-th-list:before {
  content: "\f00b";
}
.fa-check:before {
  content: "\f00c";
}
.fa-remove:before,
.fa-close:before,
.fa-times:before {
  content: "\f00d";
}
.fa-search-plus:before {
  content: "\f00e";
}
.fa-search-minus:before {
  content: "\f010";
}
.fa-power-off:before {
  content: "\f011";
}
.fa-signal:before {
  content: "\f012";
}
.fa-gear:before,
.fa-cog:before {
  content: "\f013";
}
.fa-trash-o:before {
  content: "\f014";
}
.fa-home:before {
  content: "\f015";
}
.fa-file-o:before {
  content: "\f016";
}
.fa-clock-o:before {
  content: "\f017";
}
.fa-road:before {
  content: "\f018";
}
.fa-download:before {
  content: "\f019";
}
.fa-arrow-circle-o-down:before {
  content: "\f01a";
}
.fa-arrow-circle-o-up:before {
  content: "\f01b";
}
.fa-inbox:before {
  content: "\f01c";
}
.fa-play-circle-o:before {
  content: "\f01d";
}
.fa-rotate-right:before,
.fa-repeat:before {
  content: "\f01e";
}
.fa-refresh:before {
  content: "\f021";
}
.fa-list-alt:before {
  content: "\f022";
}
.fa-lock:before {
  content: "\f023";
}
.fa-flag:before {
  content: "\f024";
}
.fa-headphones:before {
  content: "\f025";
}
.fa-volume-off:before {
  content: "\f026";
}
.fa-volume-down:before {
  content: "\f027";
}
.fa-volume-up:before {
  content: "\f028";
}
.fa-qrcode:before {
  content: "\f029";
}
.fa-barcode:before {
  content: "\f02a";
}
.fa-tag:before {
  content: "\f02b";
}
.fa-tags:before {
  content: "\f02c";
}
.fa-book:before {
  content: "\f02d";
}
.fa-bookmark:before {
  content: "\f02e";
}
.fa-print:before {
  content: "\f02f";
}
.fa-camera:before {
  content: "\f030";
}
.fa-font:before {
  content: "\f031";
}
.fa-bold:before {
  content: "\f032";
}
.fa-italic:before {
  content: "\f033";
}
.fa-text-height:before {
  content: "\f034";
}
.fa-text-width:before {
  content: "\f035";
}
.fa-align-left:before {
  content: "\f036";
}
.fa-align-center:before {
  content: "\f037";
}
.fa-align-right:before {
  content: "\f038";
}
.fa-align-justify:before {
  content: "\f039";
}
.fa-list:before {
  content: "\f03a";
}
.fa-dedent:before,
.fa-outdent:before {
  content: "\f03b";
}
.fa-indent:before {
  content: "\f03c";
}
.fa-video-camera:before {
  content: "\f03d";
}
.fa-photo:before,
.fa-image:before,
.fa-picture-o:before {
  content: "\f03e";
}
.fa-pencil:before {
  content: "\f040";
}
.fa-map-marker:before {
  content: "\f041";
}
.fa-adjust:before {
  content: "\f042";
}
.fa-tint:before {
  content: "\f043";
}
.fa-edit:before,
.fa-pencil-square-o:before {
  content: "\f044";
}
.fa-share-square-o:before {
  content: "\f045";
}
.fa-check-square-o:before {
  content: "\f046";
}
.fa-arrows:before {
  content: "\f047";
}
.fa-step-backward:before {
  content: "\f048";
}
.fa-fast-backward:before {
  content: "\f049";
}
.fa-backward:before {
  content: "\f04a";
}
.fa-play:before {
  content: "\f04b";
}
.fa-pause:before {
  content: "\f04c";
}
.fa-stop:before {
  content: "\f04d";
}
.fa-forward:before {
  content: "\f04e";
}
.fa-fast-forward:before {
  content: "\f050";
}
.fa-step-forward:before {
  content: "\f051";
}
.fa-eject:before {
  content: "\f052";
}
.fa-chevron-left:before {
  content: "\f053";
}
.fa-chevron-right:before {
  content: "\f054";
}
.fa-plus-circle:before {
  content: "\f055";
}
.fa-minus-circle:before {
  content: "\f056";
}
.fa-times-circle:before {
  content: "\f057";
}
.fa-check-circle:before {
  content: "\f058";
}
.fa-question-circle:before {
  content: "\f059";
}
.fa-info-circle:before {
  content: "\f05a";
}
.fa-crosshairs:before {
  content: "\f05b";
}
.fa-times-circle-o:before {
  content: "\f05c";
}
.fa-check-circle-o:before {
  content: "\f05d";
}
.fa-ban:before {
  content: "\f05e";
}
.fa-arrow-left:before {
  content: "\f060";
}
.fa-arrow-right:before {
  content: "\f061";
}
.fa-arrow-up:before {
  content: "\f062";
}
.fa-arrow-down:before {
  content: "\f063";
}
.fa-mail-forward:before,
.fa-share:before {
  content: "\f064";
}
.fa-expand:before {
  content: "\f065";
}
.fa-compress:before {
  content: "\f066";
}
.fa-plus:before {
  content: "\f067";
}
.fa-minus:before {
  content: "\f068";
}
.fa-asterisk:before {
  content: "\f069";
}
.fa-exclamation-circle:before {
  content: "\f06a";
}
.fa-gift:before {
  content: "\f06b";
}
.fa-leaf:before {
  content: "\f06c";
}
.fa-fire:before {
  content: "\f06d";
}
.fa-eye:before {
  content: "\f06e";
}
.fa-eye-slash:before {
  content: "\f070";
}
.fa-warning:before,
.fa-exclamation-triangle:before {
  content: "\f071";
}
.fa-plane:before {
  content: "\f072";
}
.fa-calendar:before {
  content: "\f073";
}
.fa-random:before {
  content: "\f074";
}
.fa-comment:before {
  content: "\f075";
}
.fa-magnet:before {
  content: "\f076";
}
.fa-chevron-up:before {
  content: "\f077";
}
.fa-chevron-down:before {
  content: "\f078";
}
.fa-retweet:before {
  content: "\f079";
}
.fa-shopping-cart:before {
  content: "\f07a";
}
.fa-folder:before {
  content: "\f07b";
}
.fa-folder-open:before {
  content: "\f07c";
}
.fa-arrows-v:before {
  content: "\f07d";
}
.fa-arrows-h:before {
  content: "\f07e";
}
.fa-bar-chart-o:before,
.fa-bar-chart:before {
  content: "\f080";
}
.fa-twitter-square:before {
  content: "\f081";
}
.fa-facebook-square:before {
  content: "\f082";
}
.fa-camera-retro:before {
  content: "\f083";
}
.fa-key:before {
  content: "\f084";
}
.fa-gears:before,
.fa-cogs:before {
  content: "\f085";
}
.fa-comments:before {
  content: "\f086";
}
.fa-thumbs-o-up:before {
  content: "\f087";
}
.fa-thumbs-o-down:before {
  content: "\f088";
}
.fa-star-half:before {
  content: "\f089";
}
.fa-heart-o:before {
  content: "\f08a";
}
.fa-sign-out:before {
  content: "\f08b";
}
.fa-linkedin-square:before {
  content: "\f08c";
}
.fa-thumb-tack:before {
  content: "\f08d";
}
.fa-external-link:before {
  content: "\f08e";
}
.fa-sign-in:before {
  content: "\f090";
}
.fa-trophy:before {
  content: "\f091";
}
.fa-github-square:before {
  content: "\f092";
}
.fa-upload:before {
  content: "\f093";
}
.fa-lemon-o:before {
  content: "\f094";
}
.fa-phone:before {
  content: "\f095";
}
.fa-square-o:before {
  content: "\f096";
}
.fa-bookmark-o:before {
  content: "\f097";
}
.fa-phone-square:before {
  content: "\f098";
}
.fa-twitter:before {
  content: "\f099";
}
.fa-facebook-f:before,
.fa-facebook:before {
  content: "\f09a";
}
.fa-github:before {
  content: "\f09b";
}
.fa-unlock:before {
  content: "\f09c";
}
.fa-credit-card:before {
  content: "\f09d";
}
.fa-feed:before,
.fa-rss:before {
  content: "\f09e";
}
.fa-hdd-o:before {
  content: "\f0a0";
}
.fa-bullhorn:before {
  content: "\f0a1";
}
.fa-bell:before {
  content: "\f0f3";
}
.fa-certificate:before {
  content: "\f0a3";
}
.fa-hand-o-right:before {
  content: "\f0a4";
}
.fa-hand-o-left:before {
  content: "\f0a5";
}
.fa-hand-o-up:before {
  content: "\f0a6";
}
.fa-hand-o-down:before {
  content: "\f0a7";
}
.fa-arrow-circle-left:before {
  content: "\f0a8";
}
.fa-arrow-circle-right:before {
  content: "\f0a9";
}
.fa-arrow-circle-up:before {
  content: "\f0aa";
}
.fa-arrow-circle-down:before {
  content: "\f0ab";
}
.fa-globe:before {
  content: "\f0ac";
}
.fa-wrench:before {
  content: "\f0ad";
}
.fa-tasks:before {
  content: "\f0ae";
}
.fa-filter:before {
  content: "\f0b0";
}
.fa-briefcase:before {
  content: "\f0b1";
}
.fa-arrows-alt:before {
  content: "\f0b2";
}
.fa-group:before,
.fa-users:before {
  content: "\f0c0";
}
.fa-chain:before,
.fa-link:before {
  content: "\f0c1";
}
.fa-cloud:before {
  content: "\f0c2";
}
.fa-flask:before {
  content: "\f0c3";
}
.fa-cut:before,
.fa-scissors:before {
  content: "\f0c4";
}
.fa-copy:before,
.fa-files-o:before {
  content: "\f0c5";
}
.fa-paperclip:before {
  content: "\f0c6";
}
.fa-save:before,
.fa-floppy-o:before {
  content: "\f0c7";
}
.fa-square:before {
  content: "\f0c8";
}
.fa-navicon:before,
.fa-reorder:before,
.fa-bars:before {
  content: "\f0c9";
}
.fa-list-ul:before {
  content: "\f0ca";
}
.fa-list-ol:before {
  content: "\f0cb";
}
.fa-strikethrough:before {
  content: "\f0cc";
}
.fa-underline:before {
  content: "\f0cd";
}
.fa-table:before {
  content: "\f0ce";
}
.fa-magic:before {
  content: "\f0d0";
}
.fa-truck:before {
  content: "\f0d1";
}
.fa-pinterest:before {
  content: "\f0d2";
}
.fa-pinterest-square:before {
  content: "\f0d3";
}
.fa-google-plus-square:before {
  content: "\f0d4";
}
.fa-google-plus:before {
  content: "\f0d5";
}
.fa-money:before {
  content: "\f0d6";
}
.fa-caret-down:before {
  content: "\f0d7";
}
.fa-caret-up:before {
  content: "\f0d8";
}
.fa-caret-left:before {
  content: "\f0d9";
}
.fa-caret-right:before {
  content: "\f0da";
}
.fa-columns:before {
  content: "\f0db";
}
.fa-unsorted:before,
.fa-sort:before {
  content: "\f0dc";
}
.fa-sort-down:before,
.fa-sort-desc:before {
  content: "\f0dd";
}
.fa-sort-up:before,
.fa-sort-asc:before {
  content: "\f0de";
}
.fa-envelope:before {
  content: "\f0e0";
}
.fa-linkedin:before {
  content: "\f0e1";
}
.fa-rotate-left:before,
.fa-undo:before {
  content: "\f0e2";
}
.fa-legal:before,
.fa-gavel:before {
  content: "\f0e3";
}
.fa-dashboard:before,
.fa-tachometer:before {
  content: "\f0e4";
}
.fa-comment-o:before {
  content: "\f0e5";
}
.fa-comments-o:before {
  content: "\f0e6";
}
.fa-flash:before,
.fa-bolt:before {
  content: "\f0e7";
}
.fa-sitemap:before {
  content: "\f0e8";
}
.fa-umbrella:before {
  content: "\f0e9";
}
.fa-paste:before,
.fa-clipboard:before {
  content: "\f0ea";
}
.fa-lightbulb-o:before {
  content: "\f0eb";
}
.fa-exchange:before {
  content: "\f0ec";
}
.fa-cloud-download:before {
  content: "\f0ed";
}
.fa-cloud-upload:before {
  content: "\f0ee";
}
.fa-user-md:before {
  content: "\f0f0";
}
.fa-stethoscope:before {
  content: "\f0f1";
}
.fa-suitcase:before {
  content: "\f0f2";
}
.fa-bell-o:before {
  content: "\f0a2";
}
.fa-coffee:before {
  content: "\f0f4";
}
.fa-cutlery:before {
  content: "\f0f5";
}
.fa-file-text-o:before {
  content: "\f0f6";
}
.fa-building-o:before {
  content: "\f0f7";
}
.fa-hospital-o:before {
  content: "\f0f8";
}
.fa-ambulance:before {
  content: "\f0f9";
}
.fa-medkit:before {
  content: "\f0fa";
}
.fa-fighter-jet:before {
  content: "\f0fb";
}
.fa-beer:before {
  content: "\f0fc";
}
.fa-h-square:before {
  content: "\f0fd";
}
.fa-plus-square:before {
  content: "\f0fe";
}
.fa-angle-double-left:before {
  content: "\f100";
}
.fa-angle-double-right:before {
  content: "\f101";
}
.fa-angle-double-up:before {
  content: "\f102";
}
.fa-angle-double-down:before {
  content: "\f103";
}
.fa-angle-left:before {
  content: "\f104";
}
.fa-angle-right:before {
  content: "\f105";
}
.fa-angle-up:before {
  content: "\f106";
}
.fa-angle-down:before {
  content: "\f107";
}
.fa-desktop:before {
  content: "\f108";
}
.fa-laptop:before {
  content: "\f109";
}
.fa-tablet:before {
  content: "\f10a";
}
.fa-mobile-phone:before,
.fa-mobile:before {
  content: "\f10b";
}
.fa-circle-o:before {
  content: "\f10c";
}
.fa-quote-left:before {
  content: "\f10d";
}
.fa-quote-right:before {
  content: "\f10e";
}
.fa-spinner:before {
  content: "\f110";
}
.fa-circle:before {
  content: "\f111";
}
.fa-mail-reply:before,
.fa-reply:before {
  content: "\f112";
}
.fa-github-alt:before {
  content: "\f113";
}
.fa-folder-o:before {
  content: "\f114";
}
.fa-folder-open-o:before {
  content: "\f115";
}
.fa-smile-o:before {
  content: "\f118";
}
.fa-frown-o:before {
  content: "\f119";
}
.fa-meh-o:before {
  content: "\f11a";
}
.fa-gamepad:before {
  content: "\f11b";
}
.fa-keyboard-o:before {
  content: "\f11c";
}
.fa-flag-o:before {
  content: "\f11d";
}
.fa-flag-checkered:before {
  content: "\f11e";
}
.fa-terminal:before {
  content: "\f120";
}
.fa-code:before {
  content: "\f121";
}
.fa-mail-reply-all:before,
.fa-reply-all:before {
  content: "\f122";
}
.fa-star-half-empty:before,
.fa-star-half-full:before,
.fa-star-half-o:before {
  content: "\f123";
}
.fa-location-arrow:before {
  content: "\f124";
}
.fa-crop:before {
  content: "\f125";
}
.fa-code-fork:before {
  content: "\f126";
}
.fa-unlink:before,
.fa-chain-broken:before {
  content: "\f127";
}
.fa-question:before {
  content: "\f128";
}
.fa-info:before {
  content: "\f129";
}
.fa-exclamation:before {
  content: "\f12a";
}
.fa-superscript:before {
  content: "\f12b";
}
.fa-subscript:before {
  content: "\f12c";
}
.fa-eraser:before {
  content: "\f12d";
}
.fa-puzzle-piece:before {
  content: "\f12e";
}
.fa-microphone:before {
  content: "\f130";
}
.fa-microphone-slash:before {
  content: "\f131";
}
.fa-shield:before {
  content: "\f132";
}
.fa-calendar-o:before {
  content: "\f133";
}
.fa-fire-extinguisher:before {
  content: "\f134";
}
.fa-rocket:before {
  content: "\f135";
}
.fa-maxcdn:before {
  content: "\f136";
}
.fa-chevron-circle-left:before {
  content: "\f137";
}
.fa-chevron-circle-right:before {
  content: "\f138";
}
.fa-chevron-circle-up:before {
  content: "\f139";
}
.fa-chevron-circle-down:before {
  content: "\f13a";
}
.fa-html5:before {
  content: "\f13b";
}
.fa-css3:before {
  content: "\f13c";
}
.fa-anchor:before {
  content: "\f13d";
}
.fa-unlock-alt:before {
  content: "\f13e";
}
.fa-bullseye:before {
  content: "\f140";
}
.fa-ellipsis-h:before {
  content: "\f141";
}
.fa-ellipsis-v:before {
  content: "\f142";
}
.fa-rss-square:before {
  content: "\f143";
}
.fa-play-circle:before {
  content: "\f144";
}
.fa-ticket:before {
  content: "\f145";
}
.fa-minus-square:before {
  content: "\f146";
}
.fa-minus-square-o:before {
  content: "\f147";
}
.fa-level-up:before {
  content: "\f148";
}
.fa-level-down:before {
  content: "\f149";
}
.fa-check-square:before {
  content: "\f14a";
}
.fa-pencil-square:before {
  content: "\f14b";
}
.fa-external-link-square:before {
  content: "\f14c";
}
.fa-share-square:before {
  content: "\f14d";
}
.fa-compass:before {
  content: "\f14e";
}
.fa-toggle-down:before,
.fa-caret-square-o-down:before {
  content: "\f150";
}
.fa-toggle-up:before,
.fa-caret-square-o-up:before {
  content: "\f151";
}
.fa-toggle-right:before,
.fa-caret-square-o-right:before {
  content: "\f152";
}
.fa-euro:before,
.fa-eur:before {
  content: "\f153";
}
.fa-gbp:before {
  content: "\f154";
}
.fa-dollar:before,
.fa-usd:before {
  content: "\f155";
}
.fa-rupee:before,
.fa-inr:before {
  content: "\f156";
}
.fa-cny:before,
.fa-rmb:before,
.fa-yen:before,
.fa-jpy:before {
  content: "\f157";
}
.fa-ruble:before,
.fa-rouble:before,
.fa-rub:before {
  content: "\f158";
}
.fa-won:before,
.fa-krw:before {
  content: "\f159";
}
.fa-bitcoin:before,
.fa-btc:before {
  content: "\f15a";
}
.fa-file:before {
  content: "\f15b";
}
.fa-file-text:before {
  content: "\f15c";
}
.fa-sort-alpha-asc:before {
  content: "\f15d";
}
.fa-sort-alpha-desc:before {
  content: "\f15e";
}
.fa-sort-amount-asc:before {
  content: "\f160";
}
.fa-sort-amount-desc:before {
  content: "\f161";
}
.fa-sort-numeric-asc:before {
  content: "\f162";
}
.fa-sort-numeric-desc:before {
  content: "\f163";
}
.fa-thumbs-up:before {
  content: "\f164";
}
.fa-thumbs-down:before {
  content: "\f165";
}
.fa-youtube-square:before {
  content: "\f166";
}
.fa-youtube:before {
  content: "\f167";
}
.fa-xing:before {
  content: "\f168";
}
.fa-xing-square:before {
  content: "\f169";
}
.fa-youtube-play:before {
  content: "\f16a";
}
.fa-dropbox:before {
  content: "\f16b";
}
.fa-stack-overflow:before {
  content: "\f16c";
}
.fa-instagram:before {
  content: "\f16d";
}
.fa-flickr:before {
  content: "\f16e";
}
.fa-adn:before {
  content: "\f170";
}
.fa-bitbucket:before {
  content: "\f171";
}
.fa-bitbucket-square:before {
  content: "\f172";
}
.fa-tumblr:before {
  content: "\f173";
}
.fa-tumblr-square:before {
  content: "\f174";
}
.fa-long-arrow-down:before {
  content: "\f175";
}
.fa-long-arrow-up:before {
  content: "\f176";
}
.fa-long-arrow-left:before {
  content: "\f177";
}
.fa-long-arrow-right:before {
  content: "\f178";
}
.fa-apple:before {
  content: "\f179";
}
.fa-windows:before {
  content: "\f17a";
}
.fa-android:before {
  content: "\f17b";
}
.fa-linux:before {
  content: "\f17c";
}
.fa-dribbble:before {
  content: "\f17d";
}
.fa-skype:before {
  content: "\f17e";
}
.fa-foursquare:before {
  content: "\f180";
}
.fa-trello:before {
  content: "\f181";
}
.fa-female:before {
  content: "\f182";
}
.fa-male:before {
  content: "\f183";
}
.fa-gittip:before,
.fa-gratipay:before {
  content: "\f184";
}
.fa-sun-o:before {
  content: "\f185";
}
.fa-moon-o:before {
  content: "\f186";
}
.fa-archive:before {
  content: "\f187";
}
.fa-bug:before {
  content: "\f188";
}
.fa-vk:before {
  content: "\f189";
}
.fa-weibo:before {
  content: "\f18a";
}
.fa-renren:before {
  content: "\f18b";
}
.fa-pagelines:before {
  content: "\f18c";
}
.fa-stack-exchange:before {
  content: "\f18d";
}
.fa-arrow-circle-o-right:before {
  content: "\f18e";
}
.fa-arrow-circle-o-left:before {
  content: "\f190";
}
.fa-toggle-left:before,
.fa-caret-square-o-left:before {
  content: "\f191";
}
.fa-dot-circle-o:before {
  content: "\f192";
}
.fa-wheelchair:before {
  content: "\f193";
}
.fa-vimeo-square:before {
  content: "\f194";
}
.fa-turkish-lira:before,
.fa-try:before {
  content: "\f195";
}
.fa-plus-square-o:before {
  content: "\f196";
}
.fa-space-shuttle:before {
  content: "\f197";
}
.fa-slack:before {
  content: "\f198";
}
.fa-envelope-square:before {
  content: "\f199";
}
.fa-wordpress:before {
  content: "\f19a";
}
.fa-openid:before {
  content: "\f19b";
}
.fa-institution:before,
.fa-bank:before,
.fa-university:before {
  content: "\f19c";
}
.fa-mortar-board:before,
.fa-graduation-cap:before {
  content: "\f19d";
}
.fa-yahoo:before {
  content: "\f19e";
}
.fa-google:before {
  content: "\f1a0";
}
.fa-reddit:before {
  content: "\f1a1";
}
.fa-reddit-square:before {
  content: "\f1a2";
}
.fa-stumbleupon-circle:before {
  content: "\f1a3";
}
.fa-stumbleupon:before {
  content: "\f1a4";
}
.fa-delicious:before {
  content: "\f1a5";
}
.fa-digg:before {
  content: "\f1a6";
}
.fa-pied-piper-pp:before {
  content: "\f1a7";
}
.fa-pied-piper-alt:before {
  content: "\f1a8";
}
.fa-drupal:before {
  content: "\f1a9";
}
.fa-joomla:before {
  content: "\f1aa";
}
.fa-language:before {
  content: "\f1ab";
}
.fa-fax:before {
  content: "\f1ac";
}
.fa-building:before {
  content: "\f1ad";
}
.fa-child:before {
  content: "\f1ae";
}
.fa-paw:before {
  content: "\f1b0";
}
.fa-spoon:before {
  content: "\f1b1";
}
.fa-cube:before {
  content: "\f1b2";
}
.fa-cubes:before {
  content: "\f1b3";
}
.fa-behance:before {
  content: "\f1b4";
}
.fa-behance-square:before {
  content: "\f1b5";
}
.fa-steam:before {
  content: "\f1b6";
}
.fa-steam-square:before {
  content: "\f1b7";
}
.fa-recycle:before {
  content: "\f1b8";
}
.fa-automobile:before,
.fa-car:before {
  content: "\f1b9";
}
.fa-cab:before,
.fa-taxi:before {
  content: "\f1ba";
}
.fa-tree:before {
  content: "\f1bb";
}
.fa-spotify:before {
  content: "\f1bc";
}
.fa-deviantart:before {
  content: "\f1bd";
}
.fa-soundcloud:before {
  content: "\f1be";
}
.fa-database:before {
  content: "\f1c0";
}
.fa-file-pdf-o:before {
  content: "\f1c1";
}
.fa-file-word-o:before {
  content: "\f1c2";
}
.fa-file-excel-o:before {
  content: "\f1c3";
}
.fa-file-powerpoint-o:before {
  content: "\f1c4";
}
.fa-file-photo-o:before,
.fa-file-picture-o:before,
.fa-file-image-o:before {
  content: "\f1c5";
}
.fa-file-zip-o:before,
.fa-file-archive-o:before {
  content: "\f1c6";
}
.fa-file-sound-o:before,
.fa-file-audio-o:before {
  content: "\f1c7";
}
.fa-file-movie-o:before,
.fa-file-video-o:before {
  content: "\f1c8";
}
.fa-file-code-o:before {
  content: "\f1c9";
}
.fa-vine:before {
  content: "\f1ca";
}
.fa-codepen:before {
  content: "\f1cb";
}
.fa-jsfiddle:before {
  content: "\f1cc";
}
.fa-life-bouy:before,
.fa-life-buoy:before,
.fa-life-saver:before,
.fa-support:before,
.fa-life-ring:before {
  content: "\f1cd";
}
.fa-circle-o-notch:before {
  content: "\f1ce";
}
.fa-ra:before,
.fa-resistance:before,
.fa-rebel:before {
  content: "\f1d0";
}
.fa-ge:before,
.fa-empire:before {
  content: "\f1d1";
}
.fa-git-square:before {
  content: "\f1d2";
}
.fa-git:before {
  content: "\f1d3";
}
.fa-y-combinator-square:before,
.fa-yc-square:before,
.fa-hacker-news:before {
  content: "\f1d4";
}
.fa-tencent-weibo:before {
  content: "\f1d5";
}
.fa-qq:before {
  content: "\f1d6";
}
.fa-wechat:before,
.fa-weixin:before {
  content: "\f1d7";
}
.fa-send:before,
.fa-paper-plane:before {
  content: "\f1d8";
}
.fa-send-o:before,
.fa-paper-plane-o:before {
  content: "\f1d9";
}
.fa-history:before {
  content: "\f1da";
}
.fa-circle-thin:before {
  content: "\f1db";
}
.fa-header:before {
  content: "\f1dc";
}
.fa-paragraph:before {
  content: "\f1dd";
}
.fa-sliders:before {
  content: "\f1de";
}
.fa-share-alt:before {
  content: "\f1e0";
}
.fa-share-alt-square:before {
  content: "\f1e1";
}
.fa-bomb:before {
  content: "\f1e2";
}
.fa-soccer-ball-o:before,
.fa-futbol-o:before {
  content: "\f1e3";
}
.fa-tty:before {
  content: "\f1e4";
}
.fa-binoculars:before {
  content: "\f1e5";
}
.fa-plug:before {
  content: "\f1e6";
}
.fa-slideshare:before {
  content: "\f1e7";
}
.fa-twitch:before {
  content: "\f1e8";
}
.fa-yelp:before {
  content: "\f1e9";
}
.fa-newspaper-o:before {
  content: "\f1ea";
}
.fa-wifi:before {
  content: "\f1eb";
}
.fa-calculator:before {
  content: "\f1ec";
}
.fa-paypal:before {
  content: "\f1ed";
}
.fa-google-wallet:before {
  content: "\f1ee";
}
.fa-cc-visa:before {
  content: "\f1f0";
}
.fa-cc-mastercard:before {
  content: "\f1f1";
}
.fa-cc-discover:before {
  content: "\f1f2";
}
.fa-cc-amex:before {
  content: "\f1f3";
}
.fa-cc-paypal:before {
  content: "\f1f4";
}
.fa-cc-stripe:before {
  content: "\f1f5";
}
.fa-bell-slash:before {
  content: "\f1f6";
}
.fa-bell-slash-o:before {
  content: "\f1f7";
}
.fa-trash:before {
  content: "\f1f8";
}
.fa-copyright:before {
  content: "\f1f9";
}
.fa-at:before {
  content: "\f1fa";
}
.fa-eyedropper:before {
  content: "\f1fb";
}
.fa-paint-brush:before {
  content: "\f1fc";
}
.fa-birthday-cake:before {
  content: "\f1fd";
}
.fa-area-chart:before {
  content: "\f1fe";
}
.fa-pie-chart:before {
  content: "\f200";
}
.fa-line-chart:before {
  content: "\f201";
}
.fa-lastfm:before {
  content: "\f202";
}
.fa-lastfm-square:before {
  content: "\f203";
}
.fa-toggle-off:before {
  content: "\f204";
}
.fa-toggle-on:before {
  content: "\f205";
}
.fa-bicycle:before {
  content: "\f206";
}
.fa-bus:before {
  content: "\f207";
}
.fa-ioxhost:before {
  content: "\f208";
}
.fa-angellist:before {
  content: "\f209";
}
.fa-cc:before {
  content: "\f20a";
}
.fa-shekel:before,
.fa-sheqel:before,
.fa-ils:before {
  content: "\f20b";
}
.fa-meanpath:before {
  content: "\f20c";
}
.fa-buysellads:before {
  content: "\f20d";
}
.fa-connectdevelop:before {
  content: "\f20e";
}
.fa-dashcube:before {
  content: "\f210";
}
.fa-forumbee:before {
  content: "\f211";
}
.fa-leanpub:before {
  content: "\f212";
}
.fa-sellsy:before {
  content: "\f213";
}
.fa-shirtsinbulk:before {
  content: "\f214";
}
.fa-simplybuilt:before {
  content: "\f215";
}
.fa-skyatlas:before {
  content: "\f216";
}
.fa-cart-plus:before {
  content: "\f217";
}
.fa-cart-arrow-down:before {
  content: "\f218";
}
.fa-diamond:before {
  content: "\f219";
}
.fa-ship:before {
  content: "\f21a";
}
.fa-user-secret:before {
  content: "\f21b";
}
.fa-motorcycle:before {
  content: "\f21c";
}
.fa-street-view:before {
  content: "\f21d";
}
.fa-heartbeat:before {
  content: "\f21e";
}
.fa-venus:before {
  content: "\f221";
}
.fa-mars:before {
  content: "\f222";
}
.fa-mercury:before {
  content: "\f223";
}
.fa-intersex:before,
.fa-transgender:before {
  content: "\f224";
}
.fa-transgender-alt:before {
  content: "\f225";
}
.fa-venus-double:before {
  content: "\f226";
}
.fa-mars-double:before {
  content: "\f227";
}
.fa-venus-mars:before {
  content: "\f228";
}
.fa-mars-stroke:before {
  content: "\f229";
}
.fa-mars-stroke-v:before {
  content: "\f22a";
}
.fa-mars-stroke-h:before {
  content: "\f22b";
}
.fa-neuter:before {
  content: "\f22c";
}
.fa-genderless:before {
  content: "\f22d";
}
.fa-facebook-official:before {
  content: "\f230";
}
.fa-pinterest-p:before {
  content: "\f231";
}
.fa-whatsapp:before {
  content: "\f232";
}
.fa-server:before {
  content: "\f233";
}
.fa-user-plus:before {
  content: "\f234";
}
.fa-user-times:before {
  content: "\f235";
}
.fa-hotel:before,
.fa-bed:before {
  content: "\f236";
}
.fa-viacoin:before {
  content: "\f237";
}
.fa-train:before {
  content: "\f238";
}
.fa-subway:before {
  content: "\f239";
}
.fa-medium:before {
  content: "\f23a";
}
.fa-yc:before,
.fa-y-combinator:before {
  content: "\f23b";
}
.fa-optin-monster:before {
  content: "\f23c";
}
.fa-opencart:before {
  content: "\f23d";
}
.fa-expeditedssl:before {
  content: "\f23e";
}
.fa-battery-4:before,
.fa-battery:before,
.fa-battery-full:before {
  content: "\f240";
}
.fa-battery-3:before,
.fa-battery-three-quarters:before {
  content: "\f241";
}
.fa-battery-2:before,
.fa-battery-half:before {
  content: "\f242";
}
.fa-battery-1:before,
.fa-battery-quarter:before {
  content: "\f243";
}
.fa-battery-0:before,
.fa-battery-empty:before {
  content: "\f244";
}
.fa-mouse-pointer:before {
  content: "\f245";
}
.fa-i-cursor:before {
  content: "\f246";
}
.fa-object-group:before {
  content: "\f247";
}
.fa-object-ungroup:before {
  content: "\f248";
}
.fa-sticky-note:before {
  content: "\f249";
}
.fa-sticky-note-o:before {
  content: "\f24a";
}
.fa-cc-jcb:before {
  content: "\f24b";
}
.fa-cc-diners-club:before {
  content: "\f24c";
}
.fa-clone:before {
  content: "\f24d";
}
.fa-balance-scale:before {
  content: "\f24e";
}
.fa-hourglass-o:before {
  content: "\f250";
}
.fa-hourglass-1:before,
.fa-hourglass-start:before {
  content: "\f251";
}
.fa-hourglass-2:before,
.fa-hourglass-half:before {
  content: "\f252";
}
.fa-hourglass-3:before,
.fa-hourglass-end:before {
  content: "\f253";
}
.fa-hourglass:before {
  content: "\f254";
}
.fa-hand-grab-o:before,
.fa-hand-rock-o:before {
  content: "\f255";
}
.fa-hand-stop-o:before,
.fa-hand-paper-o:before {
  content: "\f256";
}
.fa-hand-scissors-o:before {
  content: "\f257";
}
.fa-hand-lizard-o:before {
  content: "\f258";
}
.fa-hand-spock-o:before {
  content: "\f259";
}
.fa-hand-pointer-o:before {
  content: "\f25a";
}
.fa-hand-peace-o:before {
  content: "\f25b";
}
.fa-trademark:before {
  content: "\f25c";
}
.fa-registered:before {
  content: "\f25d";
}
.fa-creative-commons:before {
  content: "\f25e";
}
.fa-gg:before {
  content: "\f260";
}
.fa-gg-circle:before {
  content: "\f261";
}
.fa-tripadvisor:before {
  content: "\f262";
}
.fa-odnoklassniki:before {
  content: "\f263";
}
.fa-odnoklassniki-square:before {
  content: "\f264";
}
.fa-get-pocket:before {
  content: "\f265";
}
.fa-wikipedia-w:before {
  content: "\f266";
}
.fa-safari:before {
  content: "\f267";
}
.fa-chrome:before {
  content: "\f268";
}
.fa-firefox:before {
  content: "\f269";
}
.fa-opera:before {
  content: "\f26a";
}
.fa-internet-explorer:before {
  content: "\f26b";
}
.fa-tv:before,
.fa-television:before {
  content: "\f26c";
}
.fa-contao:before {
  content: "\f26d";
}
.fa-500px:before {
  content: "\f26e";
}
.fa-amazon:before {
  content: "\f270";
}
.fa-calendar-plus-o:before {
  content: "\f271";
}
.fa-calendar-minus-o:before {
  content: "\f272";
}
.fa-calendar-times-o:before {
  content: "\f273";
}
.fa-calendar-check-o:before {
  content: "\f274";
}
.fa-industry:before {
  content: "\f275";
}
.fa-map-pin:before {
  content: "\f276";
}
.fa-map-signs:before {
  content: "\f277";
}
.fa-map-o:before {
  content: "\f278";
}
.fa-map:before {
  content: "\f279";
}
.fa-commenting:before {
  content: "\f27a";
}
.fa-commenting-o:before {
  content: "\f27b";
}
.fa-houzz:before {
  content: "\f27c";
}
.fa-vimeo:before {
  content: "\f27d";
}
.fa-black-tie:before {
  content: "\f27e";
}
.fa-fonticons:before {
  content: "\f280";
}
.fa-reddit-alien:before {
  content: "\f281";
}
.fa-edge:before {
  content: "\f282";
}
.fa-credit-card-alt:before {
  content: "\f283";
}
.fa-codiepie:before {
  content: "\f284";
}
.fa-modx:before {
  content: "\f285";
}
.fa-fort-awesome:before {
  content: "\f286";
}
.fa-usb:before {
  content: "\f287";
}
.fa-product-hunt:before {
  content: "\f288";
}
.fa-mixcloud:before {
  content: "\f289";
}
.fa-scribd:before {
  content: "\f28a";
}
.fa-pause-circle:before {
  content: "\f28b";
}
.fa-pause-circle-o:before {
  content: "\f28c";
}
.fa-stop-circle:before {
  content: "\f28d";
}
.fa-stop-circle-o:before {
  content: "\f28e";
}
.fa-shopping-bag:before {
  content: "\f290";
}
.fa-shopping-basket:before {
  content: "\f291";
}
.fa-hashtag:before {
  content: "\f292";
}
.fa-bluetooth:before {
  content: "\f293";
}
.fa-bluetooth-b:before {
  content: "\f294";
}
.fa-percent:before {
  content: "\f295";
}
.fa-gitlab:before {
  content: "\f296";
}
.fa-wpbeginner:before {
  content: "\f297";
}
.fa-wpforms:before {
  content: "\f298";
}
.fa-envira:before {
  content: "\f299";
}
.fa-universal-access:before {
  content: "\f29a";
}
.fa-wheelchair-alt:before {
  content: "\f29b";
}
.fa-question-circle-o:before {
  content: "\f29c";
}
.fa-blind:before {
  content: "\f29d";
}
.fa-audio-description:before {
  content: "\f29e";
}
.fa-volume-control-phone:before {
  content: "\f2a0";
}
.fa-braille:before {
  content: "\f2a1";
}
.fa-assistive-listening-systems:before {
  content: "\f2a2";
}
.fa-asl-interpreting:before,
.fa-american-sign-language-interpreting:before {
  content: "\f2a3";
}
.fa-deafness:before,
.fa-hard-of-hearing:before,
.fa-deaf:before {
  content: "\f2a4";
}
.fa-glide:before {
  content: "\f2a5";
}
.fa-glide-g:before {
  content: "\f2a6";
}
.fa-signing:before,
.fa-sign-language:before {
  content: "\f2a7";
}
.fa-low-vision:before {
  content: "\f2a8";
}
.fa-viadeo:before {
  content: "\f2a9";
}
.fa-viadeo-square:before {
  content: "\f2aa";
}
.fa-snapchat:before {
  content: "\f2ab";
}
.fa-snapchat-ghost:before {
  content: "\f2ac";
}
.fa-snapchat-square:before {
  content: "\f2ad";
}
.fa-pied-piper:before {
  content: "\f2ae";
}
.fa-first-order:before {
  content: "\f2b0";
}
.fa-yoast:before {
  content: "\f2b1";
}
.fa-themeisle:before {
  content: "\f2b2";
}
.fa-google-plus-circle:before,
.fa-google-plus-official:before {
  content: "\f2b3";
}
.fa-fa:before,
.fa-font-awesome:before {
  content: "\f2b4";
}
.fa-handshake-o:before {
  content: "\f2b5";
}
.fa-envelope-open:before {
  content: "\f2b6";
}
.fa-envelope-open-o:before {
  content: "\f2b7";
}
.fa-linode:before {
  content: "\f2b8";
}
.fa-address-book:before {
  content: "\f2b9";
}
.fa-address-book-o:before {
  content: "\f2ba";
}
.fa-vcard:before,
.fa-address-card:before {
  content: "\f2bb";
}
.fa-vcard-o:before,
.fa-address-card-o:before {
  content: "\f2bc";
}
.fa-user-circle:before {
  content: "\f2bd";
}
.fa-user-circle-o:before {
  content: "\f2be";
}
.fa-user-o:before {
  content: "\f2c0";
}
.fa-id-badge:before {
  content: "\f2c1";
}
.fa-drivers-license:before,
.fa-id-card:before {
  content: "\f2c2";
}
.fa-drivers-license-o:before,
.fa-id-card-o:before {
  content: "\f2c3";
}
.fa-quora:before {
  content: "\f2c4";
}
.fa-free-code-camp:before {
  content: "\f2c5";
}
.fa-telegram:before {
  content: "\f2c6";
}
.fa-thermometer-4:before,
.fa-thermometer:before,
.fa-thermometer-full:before {
  content: "\f2c7";
}
.fa-thermometer-3:before,
.fa-thermometer-three-quarters:before {
  content: "\f2c8";
}
.fa-thermometer-2:before,
.fa-thermometer-half:before {
  content: "\f2c9";
}
.fa-thermometer-1:before,
.fa-thermometer-quarter:before {
  content: "\f2ca";
}
.fa-thermometer-0:before,
.fa-thermometer-empty:before {
  content: "\f2cb";
}
.fa-shower:before {
  content: "\f2cc";
}
.fa-bathtub:before,
.fa-s15:before,
.fa-bath:before {
  content: "\f2cd";
}
.fa-podcast:before {
  content: "\f2ce";
}
.fa-window-maximize:before {
  content: "\f2d0";
}
.fa-window-minimize:before {
  content: "\f2d1";
}
.fa-window-restore:before {
  content: "\f2d2";
}
.fa-times-rectangle:before,
.fa-window-close:before {
  content: "\f2d3";
}
.fa-times-rectangle-o:before,
.fa-window-close-o:before {
  content: "\f2d4";
}
.fa-bandcamp:before {
  content: "\f2d5";
}
.fa-grav:before {
  content: "\f2d6";
}
.fa-etsy:before {
  content: "\f2d7";
}
.fa-imdb:before {
  content: "\f2d8";
}
.fa-ravelry:before {
  content: "\f2d9";
}
.fa-eercast:before {
  content: "\f2da";
}
.fa-microchip:before {
  content: "\f2db";
}
.fa-snowflake-o:before {
  content: "\f2dc";
}
.fa-superpowers:before {
  content: "\f2dd";
}
.fa-wpexplorer:before {
  content: "\f2de";
}
.fa-meetup:before {
  content: "\f2e0";
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  padding: 0;
  margin: -1px;
  overflow: hidden;
  clip: rect(0, 0, 0, 0);
  border: 0;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
/*!
*
* IPython base
*
*/
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
code {
  color: #000;
}
pre {
  font-size: inherit;
  line-height: inherit;
}
label {
  font-weight: normal;
}
/* Make the page background atleast 100% the height of the view port */
/* Make the page itself atleast 70% the height of the view port */
.border-box-sizing {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.corner-all {
  border-radius: 2px;
}
.no-padding {
  padding: 0px;
}
/* Flexible box model classes */
/* Taken from Alex Russell http://infrequently.org/2009/08/css-3-progress/ */
/* This file is a compatability layer.  It allows the usage of flexible box 
model layouts accross multiple browsers, including older browsers.  The newest,
universal implementation of the flexible box model is used when available (see
`Modern browsers` comments below).  Browsers that are known to implement this 
new spec completely include:

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

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

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

*/
.highlight-base {
  color: #000;
}
.highlight-variable {
  color: #000;
}
.highlight-variable-2 {
  color: #1a1a1a;
}
.highlight-variable-3 {
  color: #333333;
}
.highlight-string {
  color: #BA2121;
}
.highlight-comment {
  color: #408080;
  font-style: italic;
}
.highlight-number {
  color: #080;
}
.highlight-atom {
  color: #88F;
}
.highlight-keyword {
  color: #008000;
  font-weight: bold;
}
.highlight-builtin {
  color: #008000;
}
.highlight-error {
  color: #f00;
}
.highlight-operator {
  color: #AA22FF;
  font-weight: bold;
}
.highlight-meta {
  color: #AA22FF;
}
/* previously not defined, copying from default codemirror */
.highlight-def {
  color: #00f;
}
.highlight-string-2 {
  color: #f50;
}
.highlight-qualifier {
  color: #555;
}
.highlight-bracket {
  color: #997;
}
.highlight-tag {
  color: #170;
}
.highlight-attribute {
  color: #00c;
}
.highlight-header {
  color: blue;
}
.highlight-quote {
  color: #090;
}
.highlight-link {
  color: #00c;
}
/* apply the same style to codemirror */
.cm-s-ipython span.cm-keyword {
  color: #008000;
  font-weight: bold;
}
.cm-s-ipython span.cm-atom {
  color: #88F;
}
.cm-s-ipython span.cm-number {
  color: #080;
}
.cm-s-ipython span.cm-def {
  color: #00f;
}
.cm-s-ipython span.cm-variable {
  color: #000;
}
.cm-s-ipython span.cm-operator {
  color: #AA22FF;
  font-weight: bold;
}
.cm-s-ipython span.cm-variable-2 {
  color: #1a1a1a;
}
.cm-s-ipython span.cm-variable-3 {
  color: #333333;
}
.cm-s-ipython span.cm-comment {
  color: #408080;
  font-style: italic;
}
.cm-s-ipython span.cm-string {
  color: #BA2121;
}
.cm-s-ipython span.cm-string-2 {
  color: #f50;
}
.cm-s-ipython span.cm-meta {
  color: #AA22FF;
}
.cm-s-ipython span.cm-qualifier {
  color: #555;
}
.cm-s-ipython span.cm-builtin {
  color: #008000;
}
.cm-s-ipython span.cm-bracket {
  color: #997;
}
.cm-s-ipython span.cm-tag {
  color: #170;
}
.cm-s-ipython span.cm-attribute {
  color: #00c;
}
.cm-s-ipython span.cm-header {
  color: blue;
}
.cm-s-ipython span.cm-quote {
  color: #090;
}
.cm-s-ipython span.cm-link {
  color: #00c;
}
.cm-s-ipython span.cm-error {
  color: #f00;
}
.cm-s-ipython span.cm-tab {
  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
  background-position: right;
  background-repeat: no-repeat;
}
div.output_wrapper {
  /* this position must be relative to enable descendents to be absolute within it */
  position: relative;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  z-index: 1;
}
/* class for the output area when it should be height-limited */
div.output_scroll {
  /* ideally, this would be max-height, but FF barfs all over that */
  height: 24em;
  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
  width: 100%;
  overflow: auto;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  display: block;
}
/* output div while it is collapsed */
div.output_collapsed {
  margin: 0px;
  padding: 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
div.out_prompt_overlay {
  height: 100%;
  padding: 0px 0.4em;
  position: absolute;
  border-radius: 2px;
}
div.out_prompt_overlay:hover {
  /* use inner shadow to get border that is computed the same on WebKit/FF */
  -webkit-box-shadow: inset 0 0 1px #000;
  box-shadow: inset 0 0 1px #000;
  background: rgba(240, 240, 240, 0.5);
}
div.output_prompt {
  color: #D84315;
}
/* This class is the outer container of all output sections. */
div.output_area {
  padding: 0px;
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.output_area .MathJax_Display {
  text-align: left !important;
}
div.output_area .rendered_html table {
  margin-left: 0;
  margin-right: 0;
}
div.output_area .rendered_html img {
  margin-left: 0;
  margin-right: 0;
}
div.output_area img,
div.output_area svg {
  max-width: 100%;
  height: auto;
}
div.output_area img.unconfined,
div.output_area svg.unconfined {
  max-width: none;
}
div.output_area .mglyph > img {
  max-width: none;
}
/* This is needed to protect the pre formating from global settings such
   as that of bootstrap */
.output {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.output_area {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
div.output_area pre {
  margin: 0;
  padding: 1px 0 1px 0;
  border: 0;
  vertical-align: baseline;
  color: black;
  background-color: transparent;
  border-radius: 0;
}
/* This class is for the output subarea inside the output_area and after
   the prompt div. */
div.output_subarea {
  overflow-x: auto;
  padding: 0.4em;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
  max-width: calc(100% - 14ex);
}
div.output_scroll div.output_subarea {
  overflow-x: visible;
}
/* The rest of the output_* classes are for special styling of the different
   output types */
/* all text output has this class: */
div.output_text {
  text-align: left;
  color: #000;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
}
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
div.output_stderr {
  background: #fdd;
  /* very light red background for stderr */
}
div.output_latex {
  text-align: left;
}
/* Empty output_javascript divs should have no height */
div.output_javascript:empty {
  padding: 0;
}
.js-error {
  color: darkred;
}
/* raw_input styles */
div.raw_input_container {
  line-height: 1.21429em;
  padding-top: 5px;
}
pre.raw_input_prompt {
  /* nothing needed here. */
}
input.raw_input {
  font-family: monospace;
  font-size: inherit;
  color: inherit;
  width: auto;
  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;
  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0em 0.25em;
  margin: 0em 0.25em;
}
input.raw_input:focus {
  box-shadow: none;
}
p.p-space {
  margin-bottom: 10px;
}
div.output_unrecognized {
  padding: 5px;
  font-weight: bold;
  color: red;
}
div.output_unrecognized a {
  color: inherit;
  text-decoration: none;
}
div.output_unrecognized a:hover {
  color: inherit;
  text-decoration: none;
}
.rendered_html {
  color: #000;
  /* any extras will just be numbers: */
}
.rendered_html em {
  font-style: italic;
}
.rendered_html strong {
  font-weight: bold;
}
.rendered_html u {
  text-decoration: underline;
}
.rendered_html :link {
  text-decoration: underline;
}
.rendered_html :visited {
  text-decoration: underline;
}
.rendered_html h1 {
  font-size: 185.7%;
  margin: 1.08em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h2 {
  font-size: 157.1%;
  margin: 1.27em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h3 {
  font-size: 128.6%;
  margin: 1.55em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h4 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h5 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h6 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h1:first-child {
  margin-top: 0.538em;
}
.rendered_html h2:first-child {
  margin-top: 0.636em;
}
.rendered_html h3:first-child {
  margin-top: 0.777em;
}
.rendered_html h4:first-child {
  margin-top: 1em;
}
.rendered_html h5:first-child {
  margin-top: 1em;
}
.rendered_html h6:first-child {
  margin-top: 1em;
}
.rendered_html ul:not(.list-inline),
.rendered_html ol:not(.list-inline) {
  padding-left: 2em;
}
.rendered_html ul {
  list-style: disc;
}
.rendered_html ul ul {
  list-style: square;
  margin-top: 0;
}
.rendered_html ul ul ul {
  list-style: circle;
}
.rendered_html ol {
  list-style: decimal;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin-top: 0;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
}
.rendered_html * + ul {
  margin-top: 1em;
}
.rendered_html * + ol {
  margin-top: 1em;
}
.rendered_html hr {
  color: black;
  background-color: black;
}
.rendered_html pre {
  margin: 1em 2em;
  padding: 0px;
  background-color: #fff;
}
.rendered_html code {
  background-color: #eff0f1;
}
.rendered_html p code {
  padding: 1px 5px;
}
.rendered_html pre code {
  background-color: #fff;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  color: #000;
  font-size: 100%;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: none;
  border-collapse: collapse;
  border-spacing: 0;
  color: black;
  font-size: 12px;
  table-layout: fixed;
}
.rendered_html thead {
  border-bottom: 1px solid black;
  vertical-align: bottom;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  text-align: right;
  vertical-align: middle;
  padding: 0.5em 0.5em;
  line-height: normal;
  white-space: normal;
  max-width: none;
  border: none;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html tbody tr:nth-child(odd) {
  background: #f5f5f5;
}
.rendered_html tbody tr:hover {
  background: rgba(66, 165, 245, 0.2);
}
.rendered_html * + table {
  margin-top: 1em;
}
.rendered_html p {
  text-align: left;
}
.rendered_html * + p {
  margin-top: 1em;
}
.rendered_html img {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.rendered_html * + img {
  margin-top: 1em;
}
.rendered_html img,
.rendered_html svg {
  max-width: 100%;
  height: auto;
}
.rendered_html img.unconfined,
.rendered_html svg.unconfined {
  max-width: none;
}
.rendered_html .alert {
  margin-bottom: initial;
}
.rendered_html * + .alert {
  margin-top: 1em;
}
[dir="rtl"] .rendered_html p {
  text-align: right;
}
div.text_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.text_cell > div.prompt {
    display: none;
  }
}
div.text_cell_render {
  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
  outline: none;
  resize: none;
  width: inherit;
  border-style: none;
  padding: 0.5em 0.5em 0.5em 0.4em;
  color: #000;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
a.anchor-link:link {
  text-decoration: none;
  padding: 0px 20px;
  visibility: hidden;
}
h1:hover .anchor-link,
h2:hover .anchor-link,
h3:hover .anchor-link,
h4:hover .anchor-link,
h5:hover .anchor-link,
h6:hover .anchor-link {
  visibility: visible;
}
.text_cell.rendered .input_area {
  display: none;
}
.text_cell.rendered .rendered_html {
  overflow-x: auto;
  overflow-y: hidden;
}
.text_cell.rendered .rendered_html tr,
.text_cell.rendered .rendered_html th,
.text_cell.rendered .rendered_html td {
  max-width: none;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.text_cell .dropzone .input_area {
  border: 2px dashed #bababa;
  margin: -1px;
}
.cm-header-1,
.cm-header-2,
.cm-header-3,
.cm-header-4,
.cm-header-5,
.cm-header-6 {
  font-weight: bold;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.cm-header-1 {
  font-size: 185.7%;
}
.cm-header-2 {
  font-size: 157.1%;
}
.cm-header-3 {
  font-size: 128.6%;
}
.cm-header-4 {
  font-size: 110%;
}
.cm-header-5 {
  font-size: 100%;
  font-style: italic;
}
.cm-header-6 {
  font-size: 100%;
  font-style: italic;
}
/*!
*
* IPython notebook webapp
*
*/
@media (max-width: 767px) {
  .notebook_app {
    padding-left: 0px;
    padding-right: 0px;
  }
}
#ipython-main-app {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook_panel {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook {
  font-size: 14px;
  line-height: 20px;
  overflow-y: hidden;
  overflow-x: auto;
  width: 100%;
  /* This spaces the page away from the edge of the notebook area */
  padding-top: 20px;
  margin: 0px;
  outline: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  min-height: 100%;
}
@media not print {
  #notebook-container {
    padding: 15px;
    background-color: #fff;
    min-height: 0;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
@media print {
  #notebook-container {
    width: 100%;
  }
}
div.ui-widget-content {
  border: 1px solid #ababab;
  outline: none;
}
pre.dialog {
  background-color: #f7f7f7;
  border: 1px solid #ddd;
  border-radius: 2px;
  padding: 0.4em;
  padding-left: 2em;
}
p.dialog {
  padding: 0.2em;
}
/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
 */
pre,
code,
kbd,
samp {
  white-space: pre-wrap;
}
#fonttest {
  font-family: monospace;
}
p {
  margin-bottom: 0;
}
.end_space {
  min-height: 100px;
  transition: height .2s ease;
}
.notebook_app > #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
@media not print {
  .notebook_app {
    background-color: #EEE;
  }
}
kbd {
  border-style: solid;
  border-width: 1px;
  box-shadow: none;
  margin: 2px;
  padding-left: 2px;
  padding-right: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
.jupyter-keybindings {
  padding: 1px;
  line-height: 24px;
  border-bottom: 1px solid gray;
}
.jupyter-keybindings input {
  margin: 0;
  padding: 0;
  border: none;
}
.jupyter-keybindings i {
  padding: 6px;
}
.well code {
  background-color: #ffffff;
  border-color: #ababab;
  border-width: 1px;
  border-style: solid;
  padding: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
/* CSS for the cell toolbar */
.celltoolbar {
  border: thin solid #CFCFCF;
  border-bottom: none;
  background: #EEE;
  border-radius: 2px 2px 0px 0px;
  width: 100%;
  height: 29px;
  padding-right: 4px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
  display: -webkit-flex;
}
@media print {
  .celltoolbar {
    display: none;
  }
}
.ctb_hideshow {
  display: none;
  vertical-align: bottom;
}
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
   Cell toolbars are only shown when the ctb_global_show class is also set.
*/
.ctb_global_show .ctb_show.ctb_hideshow {
  display: block;
}
.ctb_global_show .ctb_show + .input_area,
.ctb_global_show .ctb_show + div.text_cell_input,
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border-top-right-radius: 0px;
  border-top-left-radius: 0px;
}
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border: 1px solid #cfcfcf;
}
.celltoolbar {
  font-size: 87%;
  padding-top: 3px;
}
.celltoolbar select {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  width: inherit;
  font-size: inherit;
  height: 22px;
  padding: 0px;
  display: inline-block;
}
.celltoolbar select:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.celltoolbar select::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.celltoolbar select:-ms-input-placeholder {
  color: #999;
}
.celltoolbar select::-webkit-input-placeholder {
  color: #999;
}
.celltoolbar select::-ms-expand {
  border: 0;
  background-color: transparent;
}
.celltoolbar select[disabled],
.celltoolbar select[readonly],
fieldset[disabled] .celltoolbar select {
  background-color: #eeeeee;
  opacity: 1;
}
.celltoolbar select[disabled],
fieldset[disabled] .celltoolbar select {
  cursor: not-allowed;
}
textarea.celltoolbar select {
  height: auto;
}
select.celltoolbar select {
  height: 30px;
  line-height: 30px;
}
textarea.celltoolbar select,
select[multiple].celltoolbar select {
  height: auto;
}
.celltoolbar label {
  margin-left: 5px;
  margin-right: 5px;
}
.tags_button_container {
  width: 100%;
  display: flex;
}
.tag-container {
  display: flex;
  flex-direction: row;
  flex-grow: 1;
  overflow: hidden;
  position: relative;
}
.tag-container > * {
  margin: 0 4px;
}
.remove-tag-btn {
  margin-left: 4px;
}
.tags-input {
  display: flex;
}
.cell-tag:last-child:after {
  content: "";
  position: absolute;
  right: 0;
  width: 40px;
  height: 100%;
  /* Fade to background color of cell toolbar */
  background: linear-gradient(to right, rgba(0, 0, 0, 0), #EEE);
}
.tags-input > * {
  margin-left: 4px;
}
.cell-tag,
.tags-input input,
.tags-input button {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  box-shadow: none;
  width: inherit;
  font-size: inherit;
  height: 22px;
  line-height: 22px;
  padding: 0px 4px;
  display: inline-block;
}
.cell-tag:focus,
.tags-input input:focus,
.tags-input button:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.cell-tag::-moz-placeholder,
.tags-input input::-moz-placeholder,
.tags-input button::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.cell-tag:-ms-input-placeholder,
.tags-input input:-ms-input-placeholder,
.tags-input button:-ms-input-placeholder {
  color: #999;
}
.cell-tag::-webkit-input-placeholder,
.tags-input input::-webkit-input-placeholder,
.tags-input button::-webkit-input-placeholder {
  color: #999;
}
.cell-tag::-ms-expand,
.tags-input input::-ms-expand,
.tags-input button::-ms-expand {
  border: 0;
  background-color: transparent;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
.cell-tag[readonly],
.tags-input input[readonly],
.tags-input button[readonly],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  background-color: #eeeeee;
  opacity: 1;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  cursor: not-allowed;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button {
  height: auto;
}
select.cell-tag,
select.tags-input input,
select.tags-input button {
  height: 30px;
  line-height: 30px;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button,
select[multiple].cell-tag,
select[multiple].tags-input input,
select[multiple].tags-input button {
  height: auto;
}
.cell-tag,
.tags-input button {
  padding: 0px 4px;
}
.cell-tag {
  background-color: #fff;
  white-space: nowrap;
}
.tags-input input[type=text]:focus {
  outline: none;
  box-shadow: none;
  border-color: #ccc;
}
.completions {
  position: absolute;
  z-index: 110;
  overflow: hidden;
  border: 1px solid #ababab;
  border-radius: 2px;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  line-height: 1;
}
.completions select {
  background: white;
  outline: none;
  border: none;
  padding: 0px;
  margin: 0px;
  overflow: auto;
  font-family: monospace;
  font-size: 110%;
  color: #000;
  width: auto;
}
.completions select option.context {
  color: #286090;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
[dir="rtl"] #kernel_logo_widget {
  float: left !important;
  float: left;
}
.modal .modal-body .move-path {
  display: flex;
  flex-direction: row;
  justify-content: space;
  align-items: center;
}
.modal .modal-body .move-path .server-root {
  padding-right: 20px;
}
.modal .modal-body .move-path .path-input {
  flex: 1;
}
#menubar {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  margin-top: 1px;
}
#menubar .navbar {
  border-top: 1px;
  border-radius: 0px 0px 2px 2px;
  margin-bottom: 0px;
}
#menubar .navbar-toggle {
  float: left;
  padding-top: 7px;
  padding-bottom: 7px;
  border: none;
}
#menubar .navbar-collapse {
  clear: left;
}
[dir="rtl"] #menubar .navbar-toggle {
  float: right;
}
[dir="rtl"] #menubar .navbar-collapse {
  clear: right;
}
[dir="rtl"] #menubar .navbar-nav {
  float: right;
}
[dir="rtl"] #menubar .nav {
  padding-right: 0px;
}
[dir="rtl"] #menubar .navbar-nav > li {
  float: right;
}
[dir="rtl"] #menubar .navbar-right {
  float: left !important;
}
[dir="rtl"] ul.dropdown-menu {
  text-align: right;
  left: auto;
}
[dir="rtl"] ul#new-menu.dropdown-menu {
  right: auto;
  left: 0;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
[dir="rtl"] i.menu-icon.pull-right {
  float: left !important;
  float: left;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
[dir="rtl"] ul#help_menu li a {
  padding-left: 2.2em;
}
[dir="rtl"] ul#help_menu li a i {
  margin-right: 0;
  margin-left: -1.2em;
}
[dir="rtl"] ul#help_menu li a i.pull-right {
  float: left !important;
  float: left;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
[dir="rtl"] .dropdown-submenu > .dropdown-menu {
  right: 100%;
  margin-right: -1px;
}
.dropdown-submenu:hover > .dropdown-menu {
  display: block;
}
.dropdown-submenu > a:after {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  display: block;
  content: "\f0da";
  float: right;
  color: #333333;
  margin-top: 2px;
  margin-right: -10px;
}
.dropdown-submenu > a:after.fa-pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.fa-pull-right {
  margin-left: .3em;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
[dir="rtl"] .dropdown-submenu > a:after {
  float: left;
  content: "\f0d9";
  margin-right: 0;
  margin-left: -10px;
}
.dropdown-submenu:hover > a:after {
  color: #262626;
}
.dropdown-submenu.pull-left {
  float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
  left: -100%;
  margin-left: 10px;
}
#notification_area {
  float: right !important;
  float: right;
  z-index: 10;
}
[dir="rtl"] #notification_area {
  float: left !important;
  float: left;
}
.indicator_area {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] .indicator_area {
  float: left !important;
  float: left;
}
#kernel_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  border-left: 1px solid;
}
#kernel_indicator .kernel_indicator_name {
  padding-left: 5px;
  padding-right: 5px;
}
[dir="rtl"] #kernel_indicator {
  float: left !important;
  float: left;
  border-left: 0;
  border-right: 1px solid;
}
#modal_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] #modal_indicator {
  float: left !important;
  float: left;
}
#readonly-indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  margin-top: 2px;
  margin-bottom: 0px;
  margin-left: 0px;
  margin-right: 0px;
  display: none;
}
.modal_indicator:before {
  width: 1.28571429em;
  text-align: center;
}
.edit_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f040";
}
.edit_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.edit_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: ' ';
}
.command_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f10c";
}
.kernel_idle_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f111";
}
.kernel_busy_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f1e2";
}
.kernel_dead_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f127";
}
.kernel_disconnected_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.pull-right {
  margin-left: .3em;
}
.notification_widget {
  color: #777;
  z-index: 10;
  background: rgba(240, 240, 240, 0.5);
  margin-right: 4px;
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget:focus,
.notification_widget.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.notification_widget:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active:hover,
.notification_widget.active:hover,
.open > .dropdown-toggle.notification_widget:hover,
.notification_widget:active:focus,
.notification_widget.active:focus,
.open > .dropdown-toggle.notification_widget:focus,
.notification_widget:active.focus,
.notification_widget.active.focus,
.open > .dropdown-toggle.notification_widget.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  background-image: none;
}
.notification_widget.disabled:hover,
.notification_widget[disabled]:hover,
fieldset[disabled] .notification_widget:hover,
.notification_widget.disabled:focus,
.notification_widget[disabled]:focus,
fieldset[disabled] .notification_widget:focus,
.notification_widget.disabled.focus,
.notification_widget[disabled].focus,
fieldset[disabled] .notification_widget.focus {
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget .badge {
  color: #fff;
  background-color: #333;
}
.notification_widget.warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning:focus,
.notification_widget.warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.notification_widget.warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active:hover,
.notification_widget.warning.active:hover,
.open > .dropdown-toggle.notification_widget.warning:hover,
.notification_widget.warning:active:focus,
.notification_widget.warning.active:focus,
.open > .dropdown-toggle.notification_widget.warning:focus,
.notification_widget.warning:active.focus,
.notification_widget.warning.active.focus,
.open > .dropdown-toggle.notification_widget.warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  background-image: none;
}
.notification_widget.warning.disabled:hover,
.notification_widget.warning[disabled]:hover,
fieldset[disabled] .notification_widget.warning:hover,
.notification_widget.warning.disabled:focus,
.notification_widget.warning[disabled]:focus,
fieldset[disabled] .notification_widget.warning:focus,
.notification_widget.warning.disabled.focus,
.notification_widget.warning[disabled].focus,
fieldset[disabled] .notification_widget.warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.notification_widget.success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success:focus,
.notification_widget.success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.notification_widget.success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active:hover,
.notification_widget.success.active:hover,
.open > .dropdown-toggle.notification_widget.success:hover,
.notification_widget.success:active:focus,
.notification_widget.success.active:focus,
.open > .dropdown-toggle.notification_widget.success:focus,
.notification_widget.success:active.focus,
.notification_widget.success.active.focus,
.open > .dropdown-toggle.notification_widget.success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  background-image: none;
}
.notification_widget.success.disabled:hover,
.notification_widget.success[disabled]:hover,
fieldset[disabled] .notification_widget.success:hover,
.notification_widget.success.disabled:focus,
.notification_widget.success[disabled]:focus,
fieldset[disabled] .notification_widget.success:focus,
.notification_widget.success.disabled.focus,
.notification_widget.success[disabled].focus,
fieldset[disabled] .notification_widget.success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.notification_widget.info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info:focus,
.notification_widget.info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.notification_widget.info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active:hover,
.notification_widget.info.active:hover,
.open > .dropdown-toggle.notification_widget.info:hover,
.notification_widget.info:active:focus,
.notification_widget.info.active:focus,
.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  background-image: none;
}
.notification_widget.info.disabled:hover,
.notification_widget.info[disabled]:hover,
fieldset[disabled] .notification_widget.info:hover,
.notification_widget.info.disabled:focus,
.notification_widget.info[disabled]:focus,
fieldset[disabled] .notification_widget.info:focus,
.notification_widget.info.disabled.focus,
.notification_widget.info[disabled].focus,
fieldset[disabled] .notification_widget.info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.notification_widget.danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger:focus,
.notification_widget.danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.notification_widget.danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active:hover,
.notification_widget.danger.active:hover,
.open > .dropdown-toggle.notification_widget.danger:hover,
.notification_widget.danger:active:focus,
.notification_widget.danger.active:focus,
.open > .dropdown-toggle.notification_widget.danger:focus,
.notification_widget.danger:active.focus,
.notification_widget.danger.active.focus,
.open > .dropdown-toggle.notification_widget.danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  background-image: none;
}
.notification_widget.danger.disabled:hover,
.notification_widget.danger[disabled]:hover,
fieldset[disabled] .notification_widget.danger:hover,
.notification_widget.danger.disabled:focus,
.notification_widget.danger[disabled]:focus,
fieldset[disabled] .notification_widget.danger:focus,
.notification_widget.danger.disabled.focus,
.notification_widget.danger[disabled].focus,
fieldset[disabled] .notification_widget.danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger .badge {
  color: #d9534f;
  background-color: #fff;
}
div#pager {
  background-color: #fff;
  font-size: 14px;
  line-height: 20px;
  overflow: hidden;
  display: none;
  position: fixed;
  bottom: 0px;
  width: 100%;
  max-height: 50%;
  padding-top: 8px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  /* Display over codemirror */
  z-index: 100;
  /* Hack which prevents jquery ui resizable from changing top. */
  top: auto !important;
}
div#pager pre {
  line-height: 1.21429em;
  color: #000;
  background-color: #f7f7f7;
  padding: 0.4em;
}
div#pager #pager-button-area {
  position: absolute;
  top: 8px;
  right: 20px;
}
div#pager #pager-contents {
  position: relative;
  overflow: auto;
  width: 100%;
  height: 100%;
}
div#pager #pager-contents #pager-container {
  position: relative;
  padding: 15px 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
div#pager .ui-resizable-handle {
  top: 0px;
  height: 8px;
  background: #f7f7f7;
  border-top: 1px solid #cfcfcf;
  border-bottom: 1px solid #cfcfcf;
  /* This injects handle bars (a short, wide = symbol) for 
        the resize handle. */
}
div#pager .ui-resizable-handle::after {
  content: '';
  top: 2px;
  left: 50%;
  height: 3px;
  width: 30px;
  margin-left: -15px;
  position: absolute;
  border-top: 1px solid #cfcfcf;
}
.quickhelp {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  line-height: 1.8em;
}
.shortcut_key {
  display: inline-block;
  width: 21ex;
  text-align: right;
  font-family: monospace;
}
.shortcut_descr {
  display: inline-block;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
span.save_widget {
  height: 30px;
  margin-top: 4px;
  display: flex;
  justify-content: flex-start;
  align-items: baseline;
  width: 50%;
  flex: 1;
}
span.save_widget span.filename {
  height: 100%;
  line-height: 1em;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  text-overflow: ellipsis;
  overflow: hidden;
  white-space: nowrap;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
[dir="rtl"] span.save_widget.pull-left {
  float: right !important;
  float: right;
}
[dir="rtl"] span.save_widget span.filename {
  margin-left: 0;
  margin-right: 16px;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
  white-space: nowrap;
  padding: 0 5px;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
    padding: 0 0 0 5px;
  }
  span.checkpoint_status,
  span.autosave_status {
    display: none;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  span.checkpoint_status {
    display: none;
  }
  span.autosave_status {
    font-size: x-small;
  }
}
.toolbar {
  padding: 0px;
  margin-left: -5px;
  margin-top: 2px;
  margin-bottom: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.toolbar select,
.toolbar label {
  width: auto;
  vertical-align: middle;
  margin-right: 2px;
  margin-bottom: 0px;
  display: inline;
  font-size: 92%;
  margin-left: 0.3em;
  margin-right: 0.3em;
  padding: 0px;
  padding-top: 3px;
}
.toolbar .btn {
  padding: 2px 8px;
}
.toolbar .btn-group {
  margin-top: 0px;
  margin-left: 5px;
}
.toolbar-btn-label {
  margin-left: 6px;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
  min-height: 27px;
  margin-left: 0px;
  padding-top: 11px;
  padding-bottom: 3px;
}
#maintoolbar .navbar-text {
  float: none;
  vertical-align: middle;
  text-align: right;
  margin-left: 5px;
  margin-right: 0px;
  margin-top: 0px;
}
.select-xs {
  height: 24px;
}
[dir="rtl"] .btn-group > .btn,
.btn-group-vertical > .btn {
  float: right;
}
.pulse,
.dropdown-menu > li > a.pulse,
li.pulse > a.dropdown-toggle,
li.pulse.open > a.dropdown-toggle {
  background-color: #F37626;
  color: white;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
/** WARNING IF YOU ARE EDITTING THIS FILE, if this is a .css file, It has a lot
 * of chance of beeing generated from the ../less/[samename].less file, you can
 * try to get back the less file by reverting somme commit in history
 **/
/*
 * We'll try to get something pretty, so we
 * have some strange css to have the scroll bar on
 * the left with fix button on the top right of the tooltip
 */
@-moz-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-webkit-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-moz-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
@-webkit-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
/*properties of tooltip after "expand"*/
.bigtooltip {
  overflow: auto;
  height: 200px;
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
}
/*properties of tooltip before "expand"*/
.smalltooltip {
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
  text-overflow: ellipsis;
  overflow: hidden;
  height: 80px;
}
.tooltipbuttons {
  position: absolute;
  padding-right: 15px;
  top: 0px;
  right: 0px;
}
.tooltiptext {
  /*avoid the button to overlap on some docstring*/
  padding-right: 30px;
}
.ipython_tooltip {
  max-width: 700px;
  /*fade-in animation when inserted*/
  -webkit-animation: fadeOut 400ms;
  -moz-animation: fadeOut 400ms;
  animation: fadeOut 400ms;
  -webkit-animation: fadeIn 400ms;
  -moz-animation: fadeIn 400ms;
  animation: fadeIn 400ms;
  vertical-align: middle;
  background-color: #f7f7f7;
  overflow: visible;
  border: #ababab 1px solid;
  outline: none;
  padding: 3px;
  margin: 0px;
  padding-left: 7px;
  font-family: monospace;
  min-height: 50px;
  -moz-box-shadow: 0px 6px 10px -1px #adadad;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  border-radius: 2px;
  position: absolute;
  z-index: 1000;
}
.ipython_tooltip a {
  float: right;
}
.ipython_tooltip .tooltiptext pre {
  border: 0;
  border-radius: 0;
  font-size: 100%;
  background-color: #f7f7f7;
}
.pretooltiparrow {
  left: 0px;
  margin: 0px;
  top: -16px;
  width: 40px;
  height: 16px;
  overflow: hidden;
  position: absolute;
}
.pretooltiparrow:before {
  background-color: #f7f7f7;
  border: 1px #ababab solid;
  z-index: 11;
  content: "";
  position: absolute;
  left: 15px;
  top: 10px;
  width: 25px;
  height: 25px;
  -webkit-transform: rotate(45deg);
  -moz-transform: rotate(45deg);
  -ms-transform: rotate(45deg);
  -o-transform: rotate(45deg);
}
ul.typeahead-list i {
  margin-left: -10px;
  width: 18px;
}
[dir="rtl"] ul.typeahead-list i {
  margin-left: 0;
  margin-right: -10px;
}
ul.typeahead-list {
  max-height: 80vh;
  overflow: auto;
}
ul.typeahead-list > li > a {
  /** Firefox bug **/
  /* see https://github.com/jupyter/notebook/issues/559 */
  white-space: normal;
}
ul.typeahead-list  > li > a.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .typeahead-list {
  text-align: right;
}
.cmd-palette .modal-body {
  padding: 7px;
}
.cmd-palette form {
  background: white;
}
.cmd-palette input {
  outline: none;
}
.no-shortcut {
  min-width: 20px;
  color: transparent;
}
[dir="rtl"] .no-shortcut.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .command-shortcut.pull-right {
  float: left !important;
  float: left;
}
.command-shortcut:before {
  content: "(command mode)";
  padding-right: 3px;
  color: #777777;
}
.edit-shortcut:before {
  content: "(edit)";
  padding-right: 3px;
  color: #777777;
}
[dir="rtl"] .edit-shortcut.pull-right {
  float: left !important;
  float: left;
}
#find-and-replace #replace-preview .match,
#find-and-replace #replace-preview .insert {
  background-color: #BBDEFB;
  border-color: #90CAF9;
  border-style: solid;
  border-width: 1px;
  border-radius: 0px;
}
[dir="ltr"] #find-and-replace .input-group-btn + .form-control {
  border-left: none;
}
[dir="rtl"] #find-and-replace .input-group-btn + .form-control {
  border-right: none;
}
#find-and-replace #replace-preview .replace .match {
  background-color: #FFCDD2;
  border-color: #EF9A9A;
  border-radius: 0px;
}
#find-and-replace #replace-preview .replace .insert {
  background-color: #C8E6C9;
  border-color: #A5D6A7;
  border-radius: 0px;
}
#find-and-replace #replace-preview {
  max-height: 60vh;
  overflow: auto;
}
#find-and-replace #replace-preview pre {
  padding: 5px 10px;
}
.terminal-app {
  background: #EEE;
}
.terminal-app #header {
  background: #fff;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.terminal-app .terminal {
  width: 100%;
  float: left;
  font-family: monospace;
  color: white;
  background: black;
  padding: 0.4em;
  border-radius: 2px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
}
.terminal-app .terminal,
.terminal-app .terminal dummy-screen {
  line-height: 1em;
  font-size: 14px;
}
.terminal-app .terminal .xterm-rows {
  padding: 10px;
}
.terminal-app .terminal-cursor {
  color: black;
  background: white;
}
.terminal-app #terminado-container {
  margin-top: 20px;
}
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<style type="text/css">
    .highlight .hll { background-color: #ffffcc }
.highlight  { background: #f8f8f8; }
.highlight .c { color: #408080; font-style: italic } /* Comment */
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.highlight .k { color: #008000; font-weight: bold } /* Keyword */
.highlight .o { color: #666666 } /* Operator */
.highlight .ch { color: #408080; font-style: italic } /* Comment.Hashbang */
.highlight .cm { color: #408080; font-style: italic } /* Comment.Multiline */
.highlight .cp { color: #BC7A00 } /* Comment.Preproc */
.highlight .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */
.highlight .c1 { color: #408080; font-style: italic } /* Comment.Single */
.highlight .cs { color: #408080; font-style: italic } /* Comment.Special */
.highlight .gd { color: #A00000 } /* Generic.Deleted */
.highlight .ge { font-style: italic } /* Generic.Emph */
.highlight .gr { color: #FF0000 } /* Generic.Error */
.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
.highlight .gi { color: #00A000 } /* Generic.Inserted */
.highlight .go { color: #888888 } /* Generic.Output */
.highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
.highlight .gs { font-weight: bold } /* Generic.Strong */
.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
.highlight .gt { color: #0044DD } /* Generic.Traceback */
.highlight .kc { color: #008000; font-weight: bold } /* Keyword.Constant */
.highlight .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */
.highlight .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */
.highlight .kp { color: #008000 } /* Keyword.Pseudo */
.highlight .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */
.highlight .kt { color: #B00040 } /* Keyword.Type */
.highlight .m { color: #666666 } /* Literal.Number */
.highlight .s { color: #BA2121 } /* Literal.String */
.highlight .na { color: #7D9029 } /* Name.Attribute */
.highlight .nb { color: #008000 } /* Name.Builtin */
.highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */
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.highlight .nv { color: #19177C } /* Name.Variable */
.highlight .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */
.highlight .w { color: #bbbbbb } /* Text.Whitespace */
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.highlight .mf { color: #666666 } /* Literal.Number.Float */
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.highlight .mi { color: #666666 } /* Literal.Number.Integer */
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.highlight .sa { color: #BA2121 } /* Literal.String.Affix */
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.highlight .s2 { color: #BA2121 } /* Literal.String.Double */
.highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */
.highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */
.highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */
.highlight .sx { color: #008000 } /* Literal.String.Other */
.highlight .sr { color: #BB6688 } /* Literal.String.Regex */
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.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
.highlight .fm { color: #0000FF } /* Name.Function.Magic */
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.highlight .vg { color: #19177C } /* Name.Variable.Global */
.highlight .vi { color: #19177C } /* Name.Variable.Instance */
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.highlight .il { color: #666666 } /* Literal.Number.Integer.Long */
    </style>
<style type="text/css">
    /*This file contains any manual css for this page that needs to override the global styles.
This is only required when different pages style the same element differently. This is just
a hack to deal with our current css styles and no new styling should be added in this file.*/
/*
div#notebook p, div#notebook{
    font-size: 120%;
    line-height: 125%;
}.rendered_html pre, .rendered_html table{
    font-size:120%;
    line-height: 125%;
}.CodeMirror, .CodeMirror pre, .CodeMirror-dialog, .CodeMirror-dialog .CodeMirror-search-field, .terminal-app .terminal {
    font-size: 120%;
    line-height: 125%;
}
*/

    </style>


<style type="text/css">
/* Overrides of notebook CSS for static HTML export */
body {
  overflow: visible;
  padding: 8px;
}

div#notebook {
  overflow: visible;
  border-top: none;
}@media print {
  div.cell {
    display: block;
    page-break-inside: avoid;
  } 
  div.output_wrapper { 
    display: block;
    page-break-inside: avoid; 
  }
  div.output { 
    display: block;
    page-break-inside: avoid; 
  }
}
</style>

<!-- Custom stylesheet, it must be in the same directory as the html file -->
<link rel="stylesheet" href="custom.css">

<!-- Loading mathjax macro -->
<!-- Load mathjax -->
    <script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/latest.js?config=TeX-AMS_HTML"></script>
    <!-- MathJax configuration -->
    <script type="text/x-mathjax-config">
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        tex2jax: {
            inlineMath: [ ['$','$'], ["\\(","\\)"] ],
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            processEscapes: true,
            processEnvironments: true
        },
        // Center justify equations in code and markdown cells. Elsewhere
        // we use CSS to left justify single line equations in code cells.
        displayAlign: 'center',
        "HTML-CSS": {
            styles: {'.MathJax_Display': {"margin": 0}},
            linebreaks: { automatic: true }
        }
    });
    </script>
    <!-- End of mathjax configuration --></head>
<body>
  <div tabindex="-1" id="notebook" class="border-box-sizing">
    <div class="container" id="notebook-container">

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<h1 id="Wrangle-data">Wrangle data<a class="anchor-link" href="#Wrangle-data">&#182;</a></h1>
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<p>Let's import all required libraries.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="o">%</span><span class="k">matplotlib</span> inline
<span class="o">%</span><span class="k">config</span> InlineBackend.figure_format = &#39;retina&#39;

<span class="kn">from</span> <span class="nn">timeit</span> <span class="kn">import</span> <span class="n">default_timer</span> <span class="k">as</span> <span class="n">timer</span>
<span class="kn">import</span> <span class="nn">json</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">requests</span>
<span class="kn">import</span> <span class="nn">tweepy</span>
<span class="kn">import</span> <span class="nn">re</span>

<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
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<h2 id="Gathering-data">Gathering data<a class="anchor-link" href="#Gathering-data">&#182;</a></h2>
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<h3 id="The-WeRateDogs-Twitter-archive">The WeRateDogs Twitter archive<a class="anchor-link" href="#The-WeRateDogs-Twitter-archive">&#182;</a></h3>
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<p>Load a CSV file with data that I downloaded manually from the Udacity website.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tw_arch</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;data/twitter-archive-enhanced.csv&#39;</span><span class="p">)</span>
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<h3 id="The-tweet-image-predictions">The tweet image predictions<a class="anchor-link" href="#The-tweet-image-predictions">&#182;</a></h3>
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<p>Download a TSV file from Udacity using requests library.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">url</span> <span class="o">=</span> <span class="s1">&#39;https://d17h27t6h515a5.cloudfront.net/topher/2017/August/599fd2ad_image-predictions/image-predictions.tsv&#39;</span>
<span class="n">resp</span> <span class="o">=</span> <span class="n">requests</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">url</span><span class="p">)</span>
<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">&#39;data/&#39;</span> <span class="o">+</span> <span class="n">url</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;/&#39;</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;wb&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">file</span><span class="p">:</span>
    <span class="n">file</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">resp</span><span class="o">.</span><span class="n">content</span><span class="p">)</span>
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<p>Load the TSV file with pandas.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tw_pred</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;data/image-predictions.tsv&#39;</span><span class="p">,</span> <span class="n">sep</span><span class="o">=</span><span class="s1">&#39;</span><span class="se">\t</span><span class="s1">&#39;</span><span class="p">)</span>
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<h3 id="Twitter-API">Twitter API<a class="anchor-link" href="#Twitter-API">&#182;</a></h3>
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<p>Using the tweet IDs in the WeRateDogs Twitter archive, let's query the Twitter API for each tweet's JSON data using Python's Tweepy library and store each tweet's entire set of JSON data in a file.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">download_twitter_data</span><span class="p">():</span>
    <span class="c1"># Query Twitter API for each tweet in the Twitter archive </span>
    <span class="c1"># and save JSON in a text file</span>
    <span class="c1"># These are hidden to comply with Twitter&#39;s API terms and conditions</span>
    <span class="n">consumer_key</span> <span class="o">=</span> <span class="s1">&#39;HIDDEN&#39;</span>
    <span class="n">consumer_secret</span> <span class="o">=</span> <span class="s1">&#39;HIDDEN&#39;</span>
    <span class="n">access_token</span> <span class="o">=</span> <span class="s1">&#39;HIDDEN&#39;</span>
    <span class="n">access_secret</span> <span class="o">=</span> <span class="s1">&#39;HIDDEN&#39;</span>

    <span class="n">auth</span> <span class="o">=</span> <span class="n">tweepy</span><span class="o">.</span><span class="n">OAuthHandler</span><span class="p">(</span><span class="n">consumer_key</span><span class="p">,</span> <span class="n">consumer_secret</span><span class="p">)</span>
    <span class="n">auth</span><span class="o">.</span><span class="n">set_access_token</span><span class="p">(</span><span class="n">access_token</span><span class="p">,</span> <span class="n">access_secret</span><span class="p">)</span>

    <span class="n">api</span> <span class="o">=</span> <span class="n">tweepy</span><span class="o">.</span><span class="n">API</span><span class="p">(</span><span class="n">auth</span><span class="p">,</span> <span class="n">wait_on_rate_limit</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">wait_on_rate_limit_notify</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>

    <span class="c1"># Query Twitter&#39;s API for JSON data for each tweet ID </span>
    <span class="c1"># in the Twitter archive</span>
    <span class="n">fails_dict</span> <span class="o">=</span> <span class="p">{}</span>
    <span class="n">start</span> <span class="o">=</span> <span class="n">timer</span><span class="p">()</span>
    <span class="c1"># Save each tweet&#39;s returned JSON as a new line in a .txt file</span>
    <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">&#39;data/tweet_json.txt&#39;</span><span class="p">,</span> <span class="s1">&#39;w&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">outfile</span><span class="p">:</span>
        <span class="c1"># This loop will likely take 20-30 minutes to run because of </span>
        <span class="c1"># Twitter&#39;s rate limit</span>
        <span class="k">for</span> <span class="n">tweet_id</span> <span class="ow">in</span> <span class="n">tw_arch</span><span class="o">.</span><span class="n">tweet_id</span><span class="o">.</span><span class="n">values</span><span class="p">:</span>
            <span class="k">try</span><span class="p">:</span>
                <span class="n">tweet</span> <span class="o">=</span> <span class="n">api</span><span class="o">.</span><span class="n">get_status</span><span class="p">(</span><span class="n">tweet_id</span><span class="p">)</span>
                <span class="n">json</span><span class="o">.</span><span class="n">dump</span><span class="p">(</span><span class="n">tweet</span><span class="o">.</span><span class="n">_json</span><span class="p">,</span> <span class="n">outfile</span><span class="p">)</span>
                <span class="n">outfile</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="s1">&#39;</span><span class="se">\n</span><span class="s1">&#39;</span><span class="p">)</span>
            <span class="k">except</span> <span class="n">tweepy</span><span class="o">.</span><span class="n">TweepError</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
                <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Fail&quot;</span><span class="p">,</span> <span class="n">tweet_id</span><span class="p">)</span>
                <span class="n">fails_dict</span><span class="p">[</span><span class="n">tweet_id</span><span class="p">]</span> <span class="o">=</span> <span class="n">e</span>
                <span class="k">pass</span>

    <span class="n">end</span> <span class="o">=</span> <span class="n">timer</span><span class="p">()</span>
    <span class="nb">print</span><span class="p">(</span><span class="n">end</span> <span class="o">-</span> <span class="n">start</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">(</span><span class="n">fails_dict</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Uncomment this to update &#39;tweet_json.txt&#39;</span>
<span class="n">download_twitter_data</span><span class="p">()</span>
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<pre>Fail 888202515573088257
Fail 873697596434513921
Fail 872668790621863937
Fail 872261713294495745
Fail 869988702071779329
Fail 866816280283807744
Fail 861769973181624320
Fail 856602993587888130
Fail 851953902622658560
Fail 845459076796616705
Fail 844704788403113984
Fail 842892208864923648
Fail 837366284874571778
Fail 837012587749474308
Fail 829374341691346946
Fail 827228250799742977
Fail 812747805718642688
Fail 802247111496568832
Fail 779123168116150273
Fail 775096608509886464
Fail 771004394259247104
Fail 770743923962707968
Fail 759566828574212096
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<pre>Rate limit reached. Sleeping for: 434
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<pre>Fail 754011816964026368
Fail 680055455951884288
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<pre>Rate limit reached. Sleeping for: 426
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<pre>2104.480035308001
{888202515573088257: TweepError([{&#39;code&#39;: 144, &#39;message&#39;: &#39;No status found with that ID.&#39;}]), 873697596434513921: TweepError([{&#39;code&#39;: 144, &#39;message&#39;: &#39;No status found with that ID.&#39;}]), 872668790621863937: TweepError([{&#39;code&#39;: 144, &#39;message&#39;: &#39;No status found with that ID.&#39;}]), 872261713294495745: TweepError([{&#39;code&#39;: 144, &#39;message&#39;: &#39;No status found with that ID.&#39;}]), 869988702071779329: TweepError([{&#39;code&#39;: 144, &#39;message&#39;: &#39;No status found with that ID.&#39;}]), 866816280283807744: TweepError([{&#39;code&#39;: 144, &#39;message&#39;: &#39;No status found with that ID.&#39;}]), 861769973181624320: TweepError([{&#39;code&#39;: 144, &#39;message&#39;: &#39;No status found with that ID.&#39;}]), 856602993587888130: TweepError([{&#39;code&#39;: 144, &#39;message&#39;: &#39;No status found with that ID.&#39;}]), 851953902622658560: TweepError([{&#39;code&#39;: 144, &#39;message&#39;: &#39;No status found with that ID.&#39;}]), 845459076796616705: TweepError([{&#39;code&#39;: 144, &#39;message&#39;: &#39;No status found with that ID.&#39;}]), 844704788403113984: TweepError([{&#39;code&#39;: 144, &#39;message&#39;: &#39;No status found with that ID.&#39;}]), 842892208864923648: TweepError([{&#39;code&#39;: 144, &#39;message&#39;: &#39;No status found with that ID.&#39;}]), 837366284874571778: TweepError([{&#39;code&#39;: 144, &#39;message&#39;: &#39;No status found with that ID.&#39;}]), 837012587749474308: TweepError([{&#39;code&#39;: 144, &#39;message&#39;: &#39;No status found with that ID.&#39;}]), 829374341691346946: TweepError([{&#39;code&#39;: 144, &#39;message&#39;: &#39;No status found with that ID.&#39;}]), 827228250799742977: TweepError([{&#39;code&#39;: 144, &#39;message&#39;: &#39;No status found with that ID.&#39;}]), 812747805718642688: TweepError([{&#39;code&#39;: 144, &#39;message&#39;: &#39;No status found with that ID.&#39;}]), 802247111496568832: TweepError([{&#39;code&#39;: 144, &#39;message&#39;: &#39;No status found with that ID.&#39;}]), 779123168116150273: TweepError([{&#39;code&#39;: 144, &#39;message&#39;: &#39;No status found with that ID.&#39;}]), 775096608509886464: TweepError([{&#39;code&#39;: 144, &#39;message&#39;: &#39;No status found with that ID.&#39;}]), 771004394259247104: TweepError([{&#39;code&#39;: 179, &#39;message&#39;: &#39;Sorry, you are not authorized to see this status.&#39;}]), 770743923962707968: TweepError([{&#39;code&#39;: 144, &#39;message&#39;: &#39;No status found with that ID.&#39;}]), 759566828574212096: TweepError([{&#39;code&#39;: 144, &#39;message&#39;: &#39;No status found with that ID.&#39;}]), 754011816964026368: TweepError([{&#39;code&#39;: 144, &#39;message&#39;: &#39;No status found with that ID.&#39;}]), 680055455951884288: TweepError([{&#39;code&#39;: 144, &#39;message&#39;: &#39;No status found with that ID.&#39;}])}
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Read json file line by line into a pandas DataFrame</span>
<span class="n">df_tw</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_json</span><span class="p">(</span><span class="s1">&#39;data/tweet_json.txt&#39;</span><span class="p">,</span> <span class="n">lines</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Select only required columns</span>
<span class="n">df_tw</span> <span class="o">=</span> <span class="n">df_tw</span><span class="p">[[</span><span class="s1">&#39;id&#39;</span><span class="p">,</span> <span class="s1">&#39;favorite_count&#39;</span><span class="p">,</span> <span class="s1">&#39;retweet_count&#39;</span><span class="p">]]</span>
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<h2 id="Assessing-the-data">Assessing the data<a class="anchor-link" href="#Assessing-the-data">&#182;</a></h2>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># View info of the Twitter archive</span>
<span class="n">tw_arch</span><span class="o">.</span><span class="n">info</span><span class="p">()</span>
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<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
RangeIndex: 2356 entries, 0 to 2355
Data columns (total 17 columns):
 #   Column                      Non-Null Count  Dtype  
---  ------                      --------------  -----  
 0   tweet_id                    2356 non-null   int64  
 1   in_reply_to_status_id       78 non-null     float64
 2   in_reply_to_user_id         78 non-null     float64
 3   timestamp                   2356 non-null   object 
 4   source                      2356 non-null   object 
 5   text                        2356 non-null   object 
 6   retweeted_status_id         181 non-null    float64
 7   retweeted_status_user_id    181 non-null    float64
 8   retweeted_status_timestamp  181 non-null    object 
 9   expanded_urls               2297 non-null   object 
 10  rating_numerator            2356 non-null   int64  
 11  rating_denominator          2356 non-null   int64  
 12  name                        2356 non-null   object 
 13  doggo                       2356 non-null   object 
 14  floofer                     2356 non-null   object 
 15  pupper                      2356 non-null   object 
 16  puppo                       2356 non-null   object 
dtypes: float64(4), int64(3), object(10)
memory usage: 313.0+ KB
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># View first 5 rows of the archieve</span>
<span class="n">tw_arch</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
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    <tr style="text-align: right;">
      <th></th>
      <th>tweet_id</th>
      <th>in_reply_to_status_id</th>
      <th>in_reply_to_user_id</th>
      <th>timestamp</th>
      <th>source</th>
      <th>text</th>
      <th>retweeted_status_id</th>
      <th>retweeted_status_user_id</th>
      <th>retweeted_status_timestamp</th>
      <th>expanded_urls</th>
      <th>rating_numerator</th>
      <th>rating_denominator</th>
      <th>name</th>
      <th>doggo</th>
      <th>floofer</th>
      <th>pupper</th>
      <th>puppo</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>892420643555336193</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2017-08-01 16:23:56 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>This is Phineas. He's a mystical boy. Only eve...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/892420643...</td>
      <td>13</td>
      <td>10</td>
      <td>Phineas</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
    <tr>
      <th>1</th>
      <td>892177421306343426</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2017-08-01 00:17:27 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>This is Tilly. She's just checking pup on you....</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/892177421...</td>
      <td>13</td>
      <td>10</td>
      <td>Tilly</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
    <tr>
      <th>2</th>
      <td>891815181378084864</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2017-07-31 00:18:03 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>This is Archie. He is a rare Norwegian Pouncin...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/891815181...</td>
      <td>12</td>
      <td>10</td>
      <td>Archie</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
    <tr>
      <th>3</th>
      <td>891689557279858688</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2017-07-30 15:58:51 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>This is Darla. She commenced a snooze mid meal...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/891689557...</td>
      <td>13</td>
      <td>10</td>
      <td>Darla</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
    <tr>
      <th>4</th>
      <td>891327558926688256</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2017-07-29 16:00:24 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>This is Franklin. He would like you to stop ca...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/891327558...</td>
      <td>12</td>
      <td>10</td>
      <td>Franklin</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
  </tbody>
</table>
</div>
</div>

</div>

</div>
</div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># View last 5 rows of the archieve</span>
<span class="n">tw_arch</span><span class="o">.</span><span class="n">tail</span><span class="p">()</span>
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<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>tweet_id</th>
      <th>in_reply_to_status_id</th>
      <th>in_reply_to_user_id</th>
      <th>timestamp</th>
      <th>source</th>
      <th>text</th>
      <th>retweeted_status_id</th>
      <th>retweeted_status_user_id</th>
      <th>retweeted_status_timestamp</th>
      <th>expanded_urls</th>
      <th>rating_numerator</th>
      <th>rating_denominator</th>
      <th>name</th>
      <th>doggo</th>
      <th>floofer</th>
      <th>pupper</th>
      <th>puppo</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>2351</th>
      <td>666049248165822465</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2015-11-16 00:24:50 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>Here we have a 1949 1st generation vulpix. Enj...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/666049248...</td>
      <td>5</td>
      <td>10</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
    <tr>
      <th>2352</th>
      <td>666044226329800704</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2015-11-16 00:04:52 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>This is a purebred Piers Morgan. Loves to Netf...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/666044226...</td>
      <td>6</td>
      <td>10</td>
      <td>a</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
    <tr>
      <th>2353</th>
      <td>666033412701032449</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2015-11-15 23:21:54 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>Here is a very happy pup. Big fan of well-main...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/666033412...</td>
      <td>9</td>
      <td>10</td>
      <td>a</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
    <tr>
      <th>2354</th>
      <td>666029285002620928</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2015-11-15 23:05:30 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>This is a western brown Mitsubishi terrier. Up...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/666029285...</td>
      <td>7</td>
      <td>10</td>
      <td>a</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
    <tr>
      <th>2355</th>
      <td>666020888022790149</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2015-11-15 22:32:08 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>Here we have a Japanese Irish Setter. Lost eye...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/666020888...</td>
      <td>8</td>
      <td>10</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
  </tbody>
</table>
</div>
</div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Get sample from the archieve</span>
<span class="n">tw_arch</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="mi">5</span><span class="p">)</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>tweet_id</th>
      <th>in_reply_to_status_id</th>
      <th>in_reply_to_user_id</th>
      <th>timestamp</th>
      <th>source</th>
      <th>text</th>
      <th>retweeted_status_id</th>
      <th>retweeted_status_user_id</th>
      <th>retweeted_status_timestamp</th>
      <th>expanded_urls</th>
      <th>rating_numerator</th>
      <th>rating_denominator</th>
      <th>name</th>
      <th>doggo</th>
      <th>floofer</th>
      <th>pupper</th>
      <th>puppo</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>2088</th>
      <td>670792680469889025</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2015-11-29 02:33:32 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>This is Antony. He's a Sheraton Tetrahedron. S...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/670792680...</td>
      <td>7</td>
      <td>10</td>
      <td>Antony</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
    <tr>
      <th>1657</th>
      <td>683142553609318400</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2016-01-02 04:27:31 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>Meet Brandy. She's a member of the Bloods. Men...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/683142553...</td>
      <td>9</td>
      <td>10</td>
      <td>Brandy</td>
      <td>None</td>
      <td>None</td>
      <td>pupper</td>
      <td>None</td>
    </tr>
    <tr>
      <th>750</th>
      <td>779123168116150273</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2016-09-23 01:00:13 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>This is Reggie. He hugs everyone he meets. 12/...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/779123168...</td>
      <td>12</td>
      <td>10</td>
      <td>Reggie</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
    <tr>
      <th>1357</th>
      <td>703407252292673536</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2016-02-27 02:32:12 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>This pupper doesn't understand gates. 10/10 so...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/703407252...</td>
      <td>10</td>
      <td>10</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>pupper</td>
      <td>None</td>
    </tr>
    <tr>
      <th>1008</th>
      <td>747594051852075008</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2016-06-28 00:54:46 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>Again w the sharks guys. This week is about do...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/747594051...</td>
      <td>11</td>
      <td>10</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
  </tbody>
</table>
</div>
</div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># View descriptive statistics of the archive</span>
<span class="n">tw_arch</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
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<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>tweet_id</th>
      <th>in_reply_to_status_id</th>
      <th>in_reply_to_user_id</th>
      <th>retweeted_status_id</th>
      <th>retweeted_status_user_id</th>
      <th>rating_numerator</th>
      <th>rating_denominator</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>count</th>
      <td>2.356000e+03</td>
      <td>7.800000e+01</td>
      <td>7.800000e+01</td>
      <td>1.810000e+02</td>
      <td>1.810000e+02</td>
      <td>2356.000000</td>
      <td>2356.000000</td>
    </tr>
    <tr>
      <th>mean</th>
      <td>7.427716e+17</td>
      <td>7.455079e+17</td>
      <td>2.014171e+16</td>
      <td>7.720400e+17</td>
      <td>1.241698e+16</td>
      <td>13.126486</td>
      <td>10.455433</td>
    </tr>
    <tr>
      <th>std</th>
      <td>6.856705e+16</td>
      <td>7.582492e+16</td>
      <td>1.252797e+17</td>
      <td>6.236928e+16</td>
      <td>9.599254e+16</td>
      <td>45.876648</td>
      <td>6.745237</td>
    </tr>
    <tr>
      <th>min</th>
      <td>6.660209e+17</td>
      <td>6.658147e+17</td>
      <td>1.185634e+07</td>
      <td>6.661041e+17</td>
      <td>7.832140e+05</td>
      <td>0.000000</td>
      <td>0.000000</td>
    </tr>
    <tr>
      <th>25%</th>
      <td>6.783989e+17</td>
      <td>6.757419e+17</td>
      <td>3.086374e+08</td>
      <td>7.186315e+17</td>
      <td>4.196984e+09</td>
      <td>10.000000</td>
      <td>10.000000</td>
    </tr>
    <tr>
      <th>50%</th>
      <td>7.196279e+17</td>
      <td>7.038708e+17</td>
      <td>4.196984e+09</td>
      <td>7.804657e+17</td>
      <td>4.196984e+09</td>
      <td>11.000000</td>
      <td>10.000000</td>
    </tr>
    <tr>
      <th>75%</th>
      <td>7.993373e+17</td>
      <td>8.257804e+17</td>
      <td>4.196984e+09</td>
      <td>8.203146e+17</td>
      <td>4.196984e+09</td>
      <td>12.000000</td>
      <td>10.000000</td>
    </tr>
    <tr>
      <th>max</th>
      <td>8.924206e+17</td>
      <td>8.862664e+17</td>
      <td>8.405479e+17</td>
      <td>8.874740e+17</td>
      <td>7.874618e+17</td>
      <td>1776.000000</td>
      <td>170.000000</td>
    </tr>
  </tbody>
</table>
</div>
</div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Check for duplicates</span>
<span class="n">tw_arch</span><span class="o">.</span><span class="n">tweet_id</span><span class="o">.</span><span class="n">duplicated</span><span class="p">()</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span>
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<pre>0</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Find lowercase names and check them </span>
<span class="n">tw_arch</span><span class="p">[</span><span class="n">tw_arch</span><span class="o">.</span><span class="n">name</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">islower</span><span class="p">()]</span><span class="o">.</span><span class="n">name</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
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<pre>a               55
the              8
an               7
very             5
one              4
just             4
quite            4
getting          2
actually         2
not              2
mad              2
my               1
unacceptable     1
all              1
incredibly       1
officially       1
such             1
light            1
life             1
old              1
by               1
his              1
space            1
infuriating      1
this             1
Name: name, dtype: int64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Set wider column width to see more information</span>
<span class="n">pd</span><span class="o">.</span><span class="n">set_option</span><span class="p">(</span><span class="s1">&#39;max_colwidth&#39;</span><span class="p">,</span> <span class="mi">150</span><span class="p">)</span>
<span class="c1"># Try to find word name in rows where name is lowercase or None</span>
<span class="n">tw_arch</span><span class="p">[((</span><span class="n">tw_arch</span><span class="o">.</span><span class="n">name</span> <span class="o">==</span> <span class="s1">&#39;None&#39;</span><span class="p">)</span> <span class="o">|</span> <span class="n">tw_arch</span><span class="o">.</span><span class="n">name</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">islower</span><span class="p">())</span>
        <span class="o">&amp;</span> <span class="n">tw_arch</span><span class="o">.</span><span class="n">text</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">contains</span><span class="p">(</span><span class="s1">&#39;name&#39;</span><span class="p">)][[</span><span class="s1">&#39;text&#39;</span><span class="p">,</span> <span class="s1">&#39;name&#39;</span><span class="p">]]</span>
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<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>text</th>
      <th>name</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>35</th>
      <td>I have a new hero and his name is Howard. 14/10 https://t.co/gzLHboL7Sk</td>
      <td>None</td>
    </tr>
    <tr>
      <th>149</th>
      <td>Ladies and gentlemen... I found Pipsy. He may have changed his name to Pablo, but he never changed his love for the sea. Pupgraded to 14/10 https:...</td>
      <td>None</td>
    </tr>
    <tr>
      <th>168</th>
      <td>Sorry for the lack of posts today. I came home from school and had to spend quality time with my puppo. Her name is Zoey and she's 13/10 https://t...</td>
      <td>None</td>
    </tr>
    <tr>
      <th>603</th>
      <td>RT @dog_rates: This a Norwegian Pewterschmidt named Tickles. Ears for days. 12/10 I care deeply for Tickles https://t.co/0aDF62KVP7</td>
      <td>None</td>
    </tr>
    <tr>
      <th>843</th>
      <td>His name is Charley and he already has a new set of wheels thanks to donations. I heard his top speed was also increased. 13/10 for Charley</td>
      <td>None</td>
    </tr>
    <tr>
      <th>852</th>
      <td>This is my dog. Her name is Zoey. She knows I've been rating other dogs. She's not happy. 13/10 no bias at all https://t.co/ep1NkYoiwB</td>
      <td>my</td>
    </tr>
    <tr>
      <th>1596</th>
      <td>When bae calls your name from across the room. 12/10 (vid by @christinemcc98) https://t.co/xolcXA6gxe</td>
      <td>None</td>
    </tr>
    <tr>
      <th>1678</th>
      <td>We normally don't rate bears but this one seems nice. Her name is Thea. Appears rather fluffy. 10/10 good bear https://t.co/fZc7MixeeT</td>
      <td>None</td>
    </tr>
    <tr>
      <th>1734</th>
      <td>This pup's name is Sabertooth (parents must be cool). Ears for days. Jumps unannounced. 9/10 would pet diligently https://t.co/iazoiNUviP</td>
      <td>None</td>
    </tr>
    <tr>
      <th>1853</th>
      <td>This is a Sizzlin Menorah spaniel from Brooklyn named Wylie. Lovable eyes. Chiller as hell. 10/10 and I'm out.. poof https://t.co/7E0AiJXPmI</td>
      <td>a</td>
    </tr>
    <tr>
      <th>1955</th>
      <td>This is a Lofted Aphrodisiac Terrier named Kip. Big fan of bed n breakfasts. Fits perfectly. 10/10 would pet firmly https://t.co/gKlLpNzIl3</td>
      <td>a</td>
    </tr>
    <tr>
      <th>2034</th>
      <td>This is a Tuscaloosa Alcatraz named Jacob (Yacōb). Loves to sit in swing. Stellar tongue. 11/10 look at his feet https://t.co/2IslQ8ZSc7</td>
      <td>a</td>
    </tr>
    <tr>
      <th>2066</th>
      <td>This is a Helvetica Listerine named Rufus. This time Rufus will be ready for the UPS guy. He'll never expect it 9/10 https://t.co/34OhVhMkVr</td>
      <td>a</td>
    </tr>
    <tr>
      <th>2086</th>
      <td>I would do radical things in the name of Dog God. I'd believe every word in that book. 10/10 https://t.co/9ZuGAmLZDR</td>
      <td>None</td>
    </tr>
    <tr>
      <th>2116</th>
      <td>This is a Deciduous Trimester mix named Spork. Only 1 ear works. No seat belt. Incredibly reckless. 9/10 still cute https://t.co/CtuJoLHiDo</td>
      <td>a</td>
    </tr>
    <tr>
      <th>2125</th>
      <td>This is a Rich Mahogany Seltzer named Cherokee. Just got destroyed by a snowball. Isn't very happy about it. 9/10 https://t.co/98ZBi6o4dj</td>
      <td>a</td>
    </tr>
    <tr>
      <th>2128</th>
      <td>This is a Speckled Cauliflower Yosemite named Hemry. He's terrified of intruder dog. Not one bit comfortable. 9/10 https://t.co/yV3Qgjh8iN</td>
      <td>a</td>
    </tr>
    <tr>
      <th>2146</th>
      <td>This is a spotted Lipitor Rumpelstiltskin named Alphred. He can't wait for the Turkey. 10/10 would pet really well https://t.co/6GUGO7azNX</td>
      <td>a</td>
    </tr>
    <tr>
      <th>2161</th>
      <td>This is a Coriander Baton Rouge named Alfredo. Loves to cuddle with smaller well-dressed dog. 10/10 would hug lots https://t.co/eCRdwouKCl</td>
      <td>a</td>
    </tr>
    <tr>
      <th>2166</th>
      <td>Here we have a Gingivitis Pumpernickel named Zeus. Unmatched tennis ball capacity. 10/10 would highly recommend https://t.co/jPkd7hhX7m</td>
      <td>None</td>
    </tr>
    <tr>
      <th>2191</th>
      <td>This is a Slovakian Helter Skelter Feta named Leroi. Likes to skip on roofs. Good traction. Much balance. 10/10 wow! https://t.co/Dmy2mY2Qj5</td>
      <td>a</td>
    </tr>
    <tr>
      <th>2204</th>
      <td>This is an Irish Rigatoni terrier named Berta. Completely made of rope. No eyes. Quite large. Loves to dance. 10/10 https://t.co/EM5fDykrJg</td>
      <td>an</td>
    </tr>
    <tr>
      <th>2218</th>
      <td>This is a Birmingham Quagmire named Chuk. Loves to relax and watch the game while sippin on that iced mocha. 10/10 https://t.co/HvNg9JWxFt</td>
      <td>a</td>
    </tr>
    <tr>
      <th>2227</th>
      <td>Here we have an Azerbaijani Buttermilk named Guss. He sees a demon baby Hitler behind his owner. 10/10 stays alert https://t.co/aeZykWwiJN</td>
      <td>None</td>
    </tr>
    <tr>
      <th>2235</th>
      <td>This is a Trans Siberian Kellogg named Alfonso. Huge ass eyeballs. Actually Dobby from Harry Potter. 7/10 https://t.co/XpseHBlAAb</td>
      <td>a</td>
    </tr>
    <tr>
      <th>2249</th>
      <td>This is a Shotokon Macadamia mix named Cheryl. Sophisticated af. Looks like a disappointed librarian. Shh (lol) 9/10 https://t.co/J4GnJ5Swba</td>
      <td>a</td>
    </tr>
    <tr>
      <th>2255</th>
      <td>This is a rare Hungarian Pinot named Jessiga. She is either mid-stroke or got stuck in the washing machine. 8/10 https://t.co/ZU0i0KJyqD</td>
      <td>a</td>
    </tr>
    <tr>
      <th>2264</th>
      <td>This is a southwest Coriander named Klint. Hat looks expensive. Still on house arrest :(\n9/10 https://t.co/IQTOMqDUIe</td>
      <td>a</td>
    </tr>
    <tr>
      <th>2267</th>
      <td>Another topnotch dog. His name is Big Jumpy Rat. Massive ass feet. Superior tail. Jumps high af. 12/10 great pup https://t.co/seESNzgsdm</td>
      <td>None</td>
    </tr>
    <tr>
      <th>2269</th>
      <td>This a Norwegian Pewterschmidt named Tickles. Ears for days. 12/10 I care deeply for Tickles https://t.co/0aDF62KVP7</td>
      <td>None</td>
    </tr>
    <tr>
      <th>2273</th>
      <td>This is a northern Wahoo named Kohl. He runs this town. Chases tumbleweeds. Draws gun wicked fast. 11/10 legendary https://t.co/J4vn2rOYFk</td>
      <td>a</td>
    </tr>
    <tr>
      <th>2287</th>
      <td>This is a Dasani Kingfisher from Maine. His name is Daryl. Daryl doesn't like being swallowed by a panda. 8/10 https://t.co/jpaeu6LNmW</td>
      <td>a</td>
    </tr>
    <tr>
      <th>2304</th>
      <td>This is a curly Ticonderoga named Pepe. No feet. Loves to jet ski. 11/10 would hug until forever https://t.co/cyDfaK8NBc</td>
      <td>a</td>
    </tr>
    <tr>
      <th>2306</th>
      <td>These are Peruvian Feldspars. Their names are Cupit and Prencer. Both resemble Rand Paul. Sick outfits 10/10 &amp;amp; 10/10 https://t.co/ZnEMHBsAs1</td>
      <td>None</td>
    </tr>
    <tr>
      <th>2311</th>
      <td>This is a purebred Bacardi named Octaviath. Can shoot spaghetti out of mouth. 10/10 https://t.co/uEvsGLOFHa</td>
      <td>a</td>
    </tr>
    <tr>
      <th>2314</th>
      <td>This is a golden Buckminsterfullerene named Johm. Drives trucks. Lumberjack (?). Enjoys wall. 8/10 would hug softly https://t.co/uQbZJM2DQB</td>
      <td>a</td>
    </tr>
  </tbody>
</table>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Show wrong ratings rows</span>
<span class="n">tw_arch</span><span class="p">[</span><span class="n">tw_arch</span><span class="o">.</span><span class="n">rating_denominator</span> <span class="o">!=</span> <span class="mi">10</span><span class="p">][[</span><span class="s1">&#39;text&#39;</span><span class="p">,</span> <span class="s1">&#39;rating_numerator&#39;</span><span class="p">,</span> <span class="s1">&#39;rating_denominator&#39;</span><span class="p">]]</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>text</th>
      <th>rating_numerator</th>
      <th>rating_denominator</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>313</th>
      <td>@jonnysun @Lin_Manuel ok jomny I know you're excited but 960/00 isn't a valid rating, 13/10 is tho</td>
      <td>960</td>
      <td>0</td>
    </tr>
    <tr>
      <th>342</th>
      <td>@docmisterio account started on 11/15/15</td>
      <td>11</td>
      <td>15</td>
    </tr>
    <tr>
      <th>433</th>
      <td>The floofs have been released I repeat the floofs have been released. 84/70 https://t.co/NIYC820tmd</td>
      <td>84</td>
      <td>70</td>
    </tr>
    <tr>
      <th>516</th>
      <td>Meet Sam. She smiles 24/7 &amp;amp; secretly aspires to be a reindeer. \nKeep Sam smiling by clicking and sharing this link:\nhttps://t.co/98tB8y7y7t ...</td>
      <td>24</td>
      <td>7</td>
    </tr>
    <tr>
      <th>784</th>
      <td>RT @dog_rates: After so many requests, this is Bretagne. She was the last surviving 9/11 search dog, and our second ever 14/10. RIP https:/…</td>
      <td>9</td>
      <td>11</td>
    </tr>
    <tr>
      <th>902</th>
      <td>Why does this never happen at my front door... 165/150 https://t.co/HmwrdfEfUE</td>
      <td>165</td>
      <td>150</td>
    </tr>
    <tr>
      <th>1068</th>
      <td>After so many requests, this is Bretagne. She was the last surviving 9/11 search dog, and our second ever 14/10. RIP https://t.co/XAVDNDaVgQ</td>
      <td>9</td>
      <td>11</td>
    </tr>
    <tr>
      <th>1120</th>
      <td>Say hello to this unbelievably well behaved squad of doggos. 204/170 would try to pet all at once https://t.co/yGQI3He3xv</td>
      <td>204</td>
      <td>170</td>
    </tr>
    <tr>
      <th>1165</th>
      <td>Happy 4/20 from the squad! 13/10 for all https://t.co/eV1diwds8a</td>
      <td>4</td>
      <td>20</td>
    </tr>
    <tr>
      <th>1202</th>
      <td>This is Bluebert. He just saw that both #FinalFur match ups are split 50/50. Amazed af. 11/10 https://t.co/Kky1DPG4iq</td>
      <td>50</td>
      <td>50</td>
    </tr>
    <tr>
      <th>1228</th>
      <td>Happy Saturday here's 9 puppers on a bench. 99/90 good work everybody https://t.co/mpvaVxKmc1</td>
      <td>99</td>
      <td>90</td>
    </tr>
    <tr>
      <th>1254</th>
      <td>Here's a brigade of puppers. All look very prepared for whatever happens next. 80/80 https://t.co/0eb7R1Om12</td>
      <td>80</td>
      <td>80</td>
    </tr>
    <tr>
      <th>1274</th>
      <td>From left to right:\nCletus, Jerome, Alejandro, Burp, &amp;amp; Titson\nNone know where camera is. 45/50 would hug all at once https://t.co/sedre1ivTK</td>
      <td>45</td>
      <td>50</td>
    </tr>
    <tr>
      <th>1351</th>
      <td>Here is a whole flock of puppers.  60/50 I'll take the lot https://t.co/9dpcw6MdWa</td>
      <td>60</td>
      <td>50</td>
    </tr>
    <tr>
      <th>1433</th>
      <td>Happy Wednesday here's a bucket of pups. 44/40 would pet all at once https://t.co/HppvrYuamZ</td>
      <td>44</td>
      <td>40</td>
    </tr>
    <tr>
      <th>1598</th>
      <td>Yes I do realize a rating of 4/20 would've been fitting. However, it would be unjust to give these cooperative pups that low of a rating</td>
      <td>4</td>
      <td>20</td>
    </tr>
    <tr>
      <th>1634</th>
      <td>Two sneaky puppers were not initially seen, moving the rating to 143/130. Please forgive us. Thank you https://t.co/kRK51Y5ac3</td>
      <td>143</td>
      <td>130</td>
    </tr>
    <tr>
      <th>1635</th>
      <td>Someone help the girl is being mugged. Several are distracting her while two steal her shoes. Clever puppers 121/110 https://t.co/1zfnTJLt55</td>
      <td>121</td>
      <td>110</td>
    </tr>
    <tr>
      <th>1662</th>
      <td>This is Darrel. He just robbed a 7/11 and is in a high speed police chase. Was just spotted by the helicopter 10/10 https://t.co/7EsP8LmSp5</td>
      <td>7</td>
      <td>11</td>
    </tr>
    <tr>
      <th>1663</th>
      <td>I'm aware that I could've said 20/16, but here at WeRateDogs we are very professional. An inconsistent rating scale is simply irresponsible</td>
      <td>20</td>
      <td>16</td>
    </tr>
    <tr>
      <th>1779</th>
      <td>IT'S PUPPERGEDDON. Total of 144/120 ...I think https://t.co/ZanVtAtvIq</td>
      <td>144</td>
      <td>120</td>
    </tr>
    <tr>
      <th>1843</th>
      <td>Here we have an entire platoon of puppers. Total score: 88/80 would pet all at once https://t.co/y93p6FLvVw</td>
      <td>88</td>
      <td>80</td>
    </tr>
    <tr>
      <th>2335</th>
      <td>This is an Albanian 3 1/2 legged  Episcopalian. Loves well-polished hardwood flooring. Penis on the collar. 9/10 https://t.co/d9NcXFKwLv</td>
      <td>1</td>
      <td>2</td>
    </tr>
  </tbody>
</table>
</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Show all source options</span>
<span class="n">tw_arch</span><span class="o">.</span><span class="n">source</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
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<pre>&lt;a href=&#34;http://twitter.com/download/iphone&#34; rel=&#34;nofollow&#34;&gt;Twitter for iPhone&lt;/a&gt;     2221
&lt;a href=&#34;http://vine.co&#34; rel=&#34;nofollow&#34;&gt;Vine - Make a Scene&lt;/a&gt;                          91
&lt;a href=&#34;http://twitter.com&#34; rel=&#34;nofollow&#34;&gt;Twitter Web Client&lt;/a&gt;                       33
&lt;a href=&#34;https://about.twitter.com/products/tweetdeck&#34; rel=&#34;nofollow&#34;&gt;TweetDeck&lt;/a&gt;      11
Name: source, dtype: int64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># View info of the tweet image predictions dataframe</span>
<span class="n">tw_pred</span><span class="o">.</span><span class="n">info</span><span class="p">()</span>
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<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
RangeIndex: 2075 entries, 0 to 2074
Data columns (total 12 columns):
 #   Column    Non-Null Count  Dtype  
---  ------    --------------  -----  
 0   tweet_id  2075 non-null   int64  
 1   jpg_url   2075 non-null   object 
 2   img_num   2075 non-null   int64  
 3   p1        2075 non-null   object 
 4   p1_conf   2075 non-null   float64
 5   p1_dog    2075 non-null   bool   
 6   p2        2075 non-null   object 
 7   p2_conf   2075 non-null   float64
 8   p2_dog    2075 non-null   bool   
 9   p3        2075 non-null   object 
 10  p3_conf   2075 non-null   float64
 11  p3_dog    2075 non-null   bool   
dtypes: bool(3), float64(3), int64(2), object(4)
memory usage: 152.1+ KB
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Check for jpg_url duplicates</span>
<span class="n">tw_pred</span><span class="o">.</span><span class="n">jpg_url</span><span class="o">.</span><span class="n">duplicated</span><span class="p">()</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span>
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<pre>66</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># View first 5 rows of the predictions</span>
<span class="n">tw_pred</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>tweet_id</th>
      <th>jpg_url</th>
      <th>img_num</th>
      <th>p1</th>
      <th>p1_conf</th>
      <th>p1_dog</th>
      <th>p2</th>
      <th>p2_conf</th>
      <th>p2_dog</th>
      <th>p3</th>
      <th>p3_conf</th>
      <th>p3_dog</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>666020888022790149</td>
      <td>https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg</td>
      <td>1</td>
      <td>Welsh_springer_spaniel</td>
      <td>0.465074</td>
      <td>True</td>
      <td>collie</td>
      <td>0.156665</td>
      <td>True</td>
      <td>Shetland_sheepdog</td>
      <td>0.061428</td>
      <td>True</td>
    </tr>
    <tr>
      <th>1</th>
      <td>666029285002620928</td>
      <td>https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg</td>
      <td>1</td>
      <td>redbone</td>
      <td>0.506826</td>
      <td>True</td>
      <td>miniature_pinscher</td>
      <td>0.074192</td>
      <td>True</td>
      <td>Rhodesian_ridgeback</td>
      <td>0.072010</td>
      <td>True</td>
    </tr>
    <tr>
      <th>2</th>
      <td>666033412701032449</td>
      <td>https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg</td>
      <td>1</td>
      <td>German_shepherd</td>
      <td>0.596461</td>
      <td>True</td>
      <td>malinois</td>
      <td>0.138584</td>
      <td>True</td>
      <td>bloodhound</td>
      <td>0.116197</td>
      <td>True</td>
    </tr>
    <tr>
      <th>3</th>
      <td>666044226329800704</td>
      <td>https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg</td>
      <td>1</td>
      <td>Rhodesian_ridgeback</td>
      <td>0.408143</td>
      <td>True</td>
      <td>redbone</td>
      <td>0.360687</td>
      <td>True</td>
      <td>miniature_pinscher</td>
      <td>0.222752</td>
      <td>True</td>
    </tr>
    <tr>
      <th>4</th>
      <td>666049248165822465</td>
      <td>https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg</td>
      <td>1</td>
      <td>miniature_pinscher</td>
      <td>0.560311</td>
      <td>True</td>
      <td>Rottweiler</td>
      <td>0.243682</td>
      <td>True</td>
      <td>Doberman</td>
      <td>0.154629</td>
      <td>True</td>
    </tr>
  </tbody>
</table>
</div>
</div>

</div>

</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># View last 5 rows of the predictions</span>
<span class="n">tw_pred</span><span class="o">.</span><span class="n">tail</span><span class="p">()</span>
</pre></div>

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    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

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        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>tweet_id</th>
      <th>jpg_url</th>
      <th>img_num</th>
      <th>p1</th>
      <th>p1_conf</th>
      <th>p1_dog</th>
      <th>p2</th>
      <th>p2_conf</th>
      <th>p2_dog</th>
      <th>p3</th>
      <th>p3_conf</th>
      <th>p3_dog</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>2070</th>
      <td>891327558926688256</td>
      <td>https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg</td>
      <td>2</td>
      <td>basset</td>
      <td>0.555712</td>
      <td>True</td>
      <td>English_springer</td>
      <td>0.225770</td>
      <td>True</td>
      <td>German_short-haired_pointer</td>
      <td>0.175219</td>
      <td>True</td>
    </tr>
    <tr>
      <th>2071</th>
      <td>891689557279858688</td>
      <td>https://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg</td>
      <td>1</td>
      <td>paper_towel</td>
      <td>0.170278</td>
      <td>False</td>
      <td>Labrador_retriever</td>
      <td>0.168086</td>
      <td>True</td>
      <td>spatula</td>
      <td>0.040836</td>
      <td>False</td>
    </tr>
    <tr>
      <th>2072</th>
      <td>891815181378084864</td>
      <td>https://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg</td>
      <td>1</td>
      <td>Chihuahua</td>
      <td>0.716012</td>
      <td>True</td>
      <td>malamute</td>
      <td>0.078253</td>
      <td>True</td>
      <td>kelpie</td>
      <td>0.031379</td>
      <td>True</td>
    </tr>
    <tr>
      <th>2073</th>
      <td>892177421306343426</td>
      <td>https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg</td>
      <td>1</td>
      <td>Chihuahua</td>
      <td>0.323581</td>
      <td>True</td>
      <td>Pekinese</td>
      <td>0.090647</td>
      <td>True</td>
      <td>papillon</td>
      <td>0.068957</td>
      <td>True</td>
    </tr>
    <tr>
      <th>2074</th>
      <td>892420643555336193</td>
      <td>https://pbs.twimg.com/media/DGKD1-bXoAAIAUK.jpg</td>
      <td>1</td>
      <td>orange</td>
      <td>0.097049</td>
      <td>False</td>
      <td>bagel</td>
      <td>0.085851</td>
      <td>False</td>
      <td>banana</td>
      <td>0.076110</td>
      <td>False</td>
    </tr>
  </tbody>
</table>
</div>
</div>

</div>

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<div class="cell border-box-sizing code_cell rendered">
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Get sample from the predictions</span>
<span class="n">tw_pred</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="mi">5</span><span class="p">)</span>
</pre></div>

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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>tweet_id</th>
      <th>jpg_url</th>
      <th>img_num</th>
      <th>p1</th>
      <th>p1_conf</th>
      <th>p1_dog</th>
      <th>p2</th>
      <th>p2_conf</th>
      <th>p2_dog</th>
      <th>p3</th>
      <th>p3_conf</th>
      <th>p3_dog</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>1380</th>
      <td>765222098633691136</td>
      <td>https://pbs.twimg.com/media/Cp6db4-XYAAMmqL.jpg</td>
      <td>1</td>
      <td>dalmatian</td>
      <td>0.556595</td>
      <td>True</td>
      <td>whippet</td>
      <td>0.151047</td>
      <td>True</td>
      <td>American_Staffordshire_terrier</td>
      <td>0.096435</td>
      <td>True</td>
    </tr>
    <tr>
      <th>1166</th>
      <td>735635087207878657</td>
      <td>https://pbs.twimg.com/media/CjWANBlVAAAaN-a.jpg</td>
      <td>1</td>
      <td>pug</td>
      <td>0.891871</td>
      <td>True</td>
      <td>goose</td>
      <td>0.014377</td>
      <td>False</td>
      <td>fur_coat</td>
      <td>0.008451</td>
      <td>False</td>
    </tr>
    <tr>
      <th>1801</th>
      <td>831939777352105988</td>
      <td>https://pbs.twimg.com/media/C4uk0EWWQAAaZm1.jpg</td>
      <td>1</td>
      <td>Pomeranian</td>
      <td>0.153862</td>
      <td>True</td>
      <td>marmot</td>
      <td>0.091234</td>
      <td>False</td>
      <td>grey_fox</td>
      <td>0.090644</td>
      <td>False</td>
    </tr>
    <tr>
      <th>370</th>
      <td>672975131468300288</td>
      <td>https://pbs.twimg.com/media/CVbjRSIWsAElw2s.jpg</td>
      <td>1</td>
      <td>pug</td>
      <td>0.836421</td>
      <td>True</td>
      <td>Brabancon_griffon</td>
      <td>0.044668</td>
      <td>True</td>
      <td>French_bulldog</td>
      <td>0.036570</td>
      <td>True</td>
    </tr>
    <tr>
      <th>1180</th>
      <td>738166403467907072</td>
      <td>https://pbs.twimg.com/media/Cj5-aUQUgAAb43p.jpg</td>
      <td>2</td>
      <td>keeshond</td>
      <td>0.878886</td>
      <td>True</td>
      <td>Norwegian_elkhound</td>
      <td>0.086659</td>
      <td>True</td>
      <td>malamute</td>
      <td>0.021280</td>
      <td>True</td>
    </tr>
  </tbody>
</table>
</div>
</div>

</div>

</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># View descriptive statistics of the predictions</span>
<span class="n">tw_pred</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
</pre></div>

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    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>tweet_id</th>
      <th>img_num</th>
      <th>p1_conf</th>
      <th>p2_conf</th>
      <th>p3_conf</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>count</th>
      <td>2.075000e+03</td>
      <td>2075.000000</td>
      <td>2075.000000</td>
      <td>2.075000e+03</td>
      <td>2.075000e+03</td>
    </tr>
    <tr>
      <th>mean</th>
      <td>7.384514e+17</td>
      <td>1.203855</td>
      <td>0.594548</td>
      <td>1.345886e-01</td>
      <td>6.032417e-02</td>
    </tr>
    <tr>
      <th>std</th>
      <td>6.785203e+16</td>
      <td>0.561875</td>
      <td>0.271174</td>
      <td>1.006657e-01</td>
      <td>5.090593e-02</td>
    </tr>
    <tr>
      <th>min</th>
      <td>6.660209e+17</td>
      <td>1.000000</td>
      <td>0.044333</td>
      <td>1.011300e-08</td>
      <td>1.740170e-10</td>
    </tr>
    <tr>
      <th>25%</th>
      <td>6.764835e+17</td>
      <td>1.000000</td>
      <td>0.364412</td>
      <td>5.388625e-02</td>
      <td>1.622240e-02</td>
    </tr>
    <tr>
      <th>50%</th>
      <td>7.119988e+17</td>
      <td>1.000000</td>
      <td>0.588230</td>
      <td>1.181810e-01</td>
      <td>4.944380e-02</td>
    </tr>
    <tr>
      <th>75%</th>
      <td>7.932034e+17</td>
      <td>1.000000</td>
      <td>0.843855</td>
      <td>1.955655e-01</td>
      <td>9.180755e-02</td>
    </tr>
    <tr>
      <th>max</th>
      <td>8.924206e+17</td>
      <td>4.000000</td>
      <td>1.000000</td>
      <td>4.880140e-01</td>
      <td>2.734190e-01</td>
    </tr>
  </tbody>
</table>
</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># View info of the downloaded tweet data dataframe</span>
<span class="n">df_tw</span><span class="o">.</span><span class="n">info</span><span class="p">()</span>
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<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
RangeIndex: 2331 entries, 0 to 2330
Data columns (total 3 columns):
 #   Column          Non-Null Count  Dtype
---  ------          --------------  -----
 0   id              2331 non-null   int64
 1   favorite_count  2331 non-null   int64
 2   retweet_count   2331 non-null   int64
dtypes: int64(3)
memory usage: 54.8 KB
</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># View first 5 rows of the downloaded data</span>
<span class="n">df_tw</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
</pre></div>

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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>id</th>
      <th>favorite_count</th>
      <th>retweet_count</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>892420643555336193</td>
      <td>36113</td>
      <td>7690</td>
    </tr>
    <tr>
      <th>1</th>
      <td>892177421306343426</td>
      <td>31149</td>
      <td>5689</td>
    </tr>
    <tr>
      <th>2</th>
      <td>891815181378084864</td>
      <td>23458</td>
      <td>3772</td>
    </tr>
    <tr>
      <th>3</th>
      <td>891689557279858688</td>
      <td>39398</td>
      <td>7856</td>
    </tr>
    <tr>
      <th>4</th>
      <td>891327558926688256</td>
      <td>37621</td>
      <td>8462</td>
    </tr>
  </tbody>
</table>
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<div class="prompt input_prompt">In&nbsp;[27]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># View last 5 rows of the downloaded data</span>
<span class="n">df_tw</span><span class="o">.</span><span class="n">tail</span><span class="p">()</span>
</pre></div>

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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>id</th>
      <th>favorite_count</th>
      <th>retweet_count</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>2326</th>
      <td>666049248165822465</td>
      <td>96</td>
      <td>40</td>
    </tr>
    <tr>
      <th>2327</th>
      <td>666044226329800704</td>
      <td>272</td>
      <td>131</td>
    </tr>
    <tr>
      <th>2328</th>
      <td>666033412701032449</td>
      <td>112</td>
      <td>41</td>
    </tr>
    <tr>
      <th>2329</th>
      <td>666029285002620928</td>
      <td>121</td>
      <td>42</td>
    </tr>
    <tr>
      <th>2330</th>
      <td>666020888022790149</td>
      <td>2408</td>
      <td>460</td>
    </tr>
  </tbody>
</table>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Get sample from the downloaded data</span>
<span class="n">df_tw</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="mi">5</span><span class="p">)</span>
</pre></div>

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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>id</th>
      <th>favorite_count</th>
      <th>retweet_count</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>1361</th>
      <td>700747788515020802</td>
      <td>22674</td>
      <td>9248</td>
    </tr>
    <tr>
      <th>719</th>
      <td>780858289093574656</td>
      <td>7280</td>
      <td>2043</td>
    </tr>
    <tr>
      <th>748</th>
      <td>777641927919427584</td>
      <td>0</td>
      <td>4290</td>
    </tr>
    <tr>
      <th>512</th>
      <td>808344865868283904</td>
      <td>43276</td>
      <td>21300</td>
    </tr>
    <tr>
      <th>981</th>
      <td>747651430853525504</td>
      <td>1380</td>
      <td>155</td>
    </tr>
  </tbody>
</table>
</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># View descriptive statistics of the downloaded data</span>
<span class="n">df_tw</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>id</th>
      <th>favorite_count</th>
      <th>retweet_count</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>count</th>
      <td>2.331000e+03</td>
      <td>2331.000000</td>
      <td>2331.000000</td>
    </tr>
    <tr>
      <th>mean</th>
      <td>7.419079e+17</td>
      <td>7540.806521</td>
      <td>2698.289146</td>
    </tr>
    <tr>
      <th>std</th>
      <td>6.823170e+16</td>
      <td>11705.340727</td>
      <td>4561.608355</td>
    </tr>
    <tr>
      <th>min</th>
      <td>6.660209e+17</td>
      <td>0.000000</td>
      <td>1.000000</td>
    </tr>
    <tr>
      <th>25%</th>
      <td>6.782670e+17</td>
      <td>1317.000000</td>
      <td>546.000000</td>
    </tr>
    <tr>
      <th>50%</th>
      <td>7.182469e+17</td>
      <td>3277.000000</td>
      <td>1266.000000</td>
    </tr>
    <tr>
      <th>75%</th>
      <td>7.986692e+17</td>
      <td>9234.000000</td>
      <td>3137.000000</td>
    </tr>
    <tr>
      <th>max</th>
      <td>8.924206e+17</td>
      <td>155731.000000</td>
      <td>77603.000000</td>
    </tr>
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<h3 id="Quality-issues">Quality issues<a class="anchor-link" href="#Quality-issues">&#182;</a></h3><p>We only want original ratings (no retweets) that have images. Though there are 5000+ tweets in the dataset, not all are dog ratings and some are retweets.</p>

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<h4 id="Retweets">Retweets<a class="anchor-link" href="#Retweets">&#182;</a></h4><p>We can determine if the row is a retweet when the "retweeted_status_id" column contains a value. Filter out retweet rows and drop unneeded columns.</p>

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<h4 id="Replies">Replies<a class="anchor-link" href="#Replies">&#182;</a></h4><p>We can determine if the row is a reply when the "in_reply_to_status_id" column contains a value. Filter out all reply rows and drop unneeded columns.</p>

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<h4 id="Datatypes">Datatypes<a class="anchor-link" href="#Datatypes">&#182;</a></h4><p>Fix datatypes of "timestamp", "rating_numerator", "rating_denomerator".</p>

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<h4 id="Source">Source<a class="anchor-link" href="#Source">&#182;</a></h4><p>Remove HTML tags from source and make it more readable.</p>

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<h4 id="Names">Names<a class="anchor-link" href="#Names">&#182;</a></h4><p>We can notice that all lowercase names are wrong. Also, there are dogs with 'None' names. For several of these rows we can find a name in a text column. Get names from text where possible and filter out others.</p>

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<h4 id="Ratings">Ratings<a class="anchor-link" href="#Ratings">&#182;</a></h4><p>There are rows where text contains several ratings and they were extracted wrongly. Extract right rating where it is possible.</p>

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<h4 id="Image-URL-duplicates">Image URL duplicates<a class="anchor-link" href="#Image-URL-duplicates">&#182;</a></h4><p>There are duplicated img urls. Drop duplicates.</p>

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<h4 id="Format-p1,-p2,-p3-values">Format p1, p2, p3 values<a class="anchor-link" href="#Format-p1,-p2,-p3-values">&#182;</a></h4><p>We can notice that some of the values are lowercase and some of them uppercase. Names also have '<em>' separator. Capitalise all the breeds and replace '</em>' character with space.</p>

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<h3 id="Tidyness-Issues">Tidyness Issues<a class="anchor-link" href="#Tidyness-Issues">&#182;</a></h3>
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<h4 id="Stage">Stage<a class="anchor-link" href="#Stage">&#182;</a></h4><p>There are separate columns for every stage. Combine them into a single one.</p>

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<h4 id="Neural-network-predictions">Neural network predictions<a class="anchor-link" href="#Neural-network-predictions">&#182;</a></h4>
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<p>There are 3 separate predictions with 3 columns in each. Combine them into 2 columns: breed and conf.</p>

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<h4 id="Join-to-a-single-Master-DataFrame">Join to a single Master DataFrame<a class="anchor-link" href="#Join-to-a-single-Master-DataFrame">&#182;</a></h4><p>This will allow to get rid of rows without images also.</p>

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<h2 id="Cleaning-data">Cleaning data<a class="anchor-link" href="#Cleaning-data">&#182;</a></h2>
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<p>Create copies for every DataFrame.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tw_arch_clean</span> <span class="o">=</span> <span class="n">tw_arch</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
<span class="n">tw_pred_clean</span> <span class="o">=</span> <span class="n">tw_pred</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
<span class="n">df_tw_clean</span> <span class="o">=</span> <span class="n">df_tw</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
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<h3 id="Retweets">Retweets<a class="anchor-link" href="#Retweets">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Filter out all retweets</span>
<span class="n">tw_arch_clean</span> <span class="o">=</span> <span class="n">tw_arch_clean</span><span class="p">[</span><span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">retweeted_status_id</span><span class="o">.</span><span class="n">isnull</span><span class="p">()]</span>
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<h4 id="Test">Test<a class="anchor-link" href="#Test">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Check before drop</span>
<span class="n">tw_arch_clean</span><span class="p">[[</span>
    <span class="s1">&#39;retweeted_status_id&#39;</span><span class="p">,</span> <span class="s1">&#39;retweeted_status_user_id&#39;</span><span class="p">,</span>
    <span class="s1">&#39;retweeted_status_timestamp&#39;</span>
<span class="p">]]</span><span class="o">.</span><span class="n">info</span><span class="p">()</span>
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<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
Int64Index: 2175 entries, 0 to 2355
Data columns (total 3 columns):
 #   Column                      Non-Null Count  Dtype  
---  ------                      --------------  -----  
 0   retweeted_status_id         0 non-null      float64
 1   retweeted_status_user_id    0 non-null      float64
 2   retweeted_status_timestamp  0 non-null      object 
dtypes: float64(2), object(1)
memory usage: 68.0+ KB
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Drop unneeded columns</span>
<span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span>
    <span class="s1">&#39;retweeted_status_id&#39;</span><span class="p">,</span> <span class="s1">&#39;retweeted_status_user_id&#39;</span><span class="p">,</span>
    <span class="s1">&#39;retweeted_status_timestamp&#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="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<h4 id="Test">Test<a class="anchor-link" href="#Test">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">info</span><span class="p">()</span>
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<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
Int64Index: 2175 entries, 0 to 2355
Data columns (total 14 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   tweet_id               2175 non-null   int64  
 1   in_reply_to_status_id  78 non-null     float64
 2   in_reply_to_user_id    78 non-null     float64
 3   timestamp              2175 non-null   object 
 4   source                 2175 non-null   object 
 5   text                   2175 non-null   object 
 6   expanded_urls          2117 non-null   object 
 7   rating_numerator       2175 non-null   int64  
 8   rating_denominator     2175 non-null   int64  
 9   name                   2175 non-null   object 
 10  doggo                  2175 non-null   object 
 11  floofer                2175 non-null   object 
 12  pupper                 2175 non-null   object 
 13  puppo                  2175 non-null   object 
dtypes: float64(2), int64(3), object(9)
memory usage: 254.9+ KB
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<h3 id="Replies">Replies<a class="anchor-link" href="#Replies">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Filter out all replies</span>
<span class="n">tw_arch_clean</span> <span class="o">=</span> <span class="n">tw_arch_clean</span><span class="p">[</span><span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">in_reply_to_status_id</span><span class="o">.</span><span class="n">isnull</span><span class="p">()]</span>
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<h4 id="Test">Test<a class="anchor-link" href="#Test">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Check before drop</span>
<span class="n">tw_arch_clean</span><span class="p">[[</span><span class="s1">&#39;in_reply_to_status_id&#39;</span><span class="p">,</span> <span class="s1">&#39;in_reply_to_user_id&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">info</span><span class="p">()</span>
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<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
Int64Index: 2097 entries, 0 to 2355
Data columns (total 2 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   in_reply_to_status_id  0 non-null      float64
 1   in_reply_to_user_id    0 non-null      float64
dtypes: float64(2)
memory usage: 49.1 KB
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Drop unneeded columns</span>
<span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span><span class="s1">&#39;in_reply_to_status_id&#39;</span><span class="p">,</span> <span class="s1">&#39;in_reply_to_user_id&#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="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">info</span><span class="p">()</span>
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<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
Int64Index: 2097 entries, 0 to 2355
Data columns (total 12 columns):
 #   Column              Non-Null Count  Dtype 
---  ------              --------------  ----- 
 0   tweet_id            2097 non-null   int64 
 1   timestamp           2097 non-null   object
 2   source              2097 non-null   object
 3   text                2097 non-null   object
 4   expanded_urls       2094 non-null   object
 5   rating_numerator    2097 non-null   int64 
 6   rating_denominator  2097 non-null   int64 
 7   name                2097 non-null   object
 8   doggo               2097 non-null   object
 9   floofer             2097 non-null   object
 10  pupper              2097 non-null   object
 11  puppo               2097 non-null   object
dtypes: int64(3), object(9)
memory usage: 213.0+ KB
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<h3 id="Datatypes">Datatypes<a class="anchor-link" href="#Datatypes">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Change datatype to datetime</span>
<span class="n">tw_arch_clean</span><span class="p">[</span><span class="s1">&#39;timestamp&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">to_datetime</span><span class="p">(</span><span class="n">tw_arch_clean</span><span class="p">[</span><span class="s1">&#39;timestamp&#39;</span><span class="p">])</span>
<span class="c1"># Change datatype to float</span>
<span class="n">tw_arch_clean</span><span class="p">[</span><span class="s1">&#39;rating_numerator&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">tw_arch_clean</span><span class="p">[</span><span class="s1">&#39;rating_numerator&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s1">&#39;float&#39;</span><span class="p">)</span>
<span class="n">tw_arch_clean</span><span class="p">[</span><span class="s1">&#39;rating_denominator&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">tw_arch_clean</span><span class="p">[</span><span class="s1">&#39;rating_denominator&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s1">&#39;float&#39;</span><span class="p">)</span>
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<h4 id="Test">Test<a class="anchor-link" href="#Test">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">info</span><span class="p">()</span>
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<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
Int64Index: 2097 entries, 0 to 2355
Data columns (total 12 columns):
 #   Column              Non-Null Count  Dtype              
---  ------              --------------  -----              
 0   tweet_id            2097 non-null   int64              
 1   timestamp           2097 non-null   datetime64[ns, UTC]
 2   source              2097 non-null   object             
 3   text                2097 non-null   object             
 4   expanded_urls       2094 non-null   object             
 5   rating_numerator    2097 non-null   float64            
 6   rating_denominator  2097 non-null   float64            
 7   name                2097 non-null   object             
 8   doggo               2097 non-null   object             
 9   floofer             2097 non-null   object             
 10  pupper              2097 non-null   object             
 11  puppo               2097 non-null   object             
dtypes: datetime64[ns, UTC](1), float64(2), int64(1), object(8)
memory usage: 213.0+ KB
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<h3 id="Source">Source<a class="anchor-link" href="#Source">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">tw_arch_clean</span><span class="p">[</span><span class="s1">&#39;source&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">contains</span><span class="p">(</span><span class="s1">&#39;iPhone&#39;</span><span class="p">),</span> <span class="s1">&#39;source&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;iPhone&#39;</span>
<span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">tw_arch_clean</span><span class="p">[</span><span class="s1">&#39;source&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">contains</span><span class="p">(</span><span class="s1">&#39;Vine&#39;</span><span class="p">),</span> <span class="s1">&#39;source&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;Vine&#39;</span>
<span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">tw_arch_clean</span><span class="p">[</span><span class="s1">&#39;source&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">contains</span><span class="p">(</span><span class="s1">&#39;Web&#39;</span><span class="p">),</span> <span class="s1">&#39;source&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;Web&#39;</span>
<span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">tw_arch_clean</span><span class="p">[</span><span class="s1">&#39;source&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">contains</span><span class="p">(</span><span class="s1">&#39;TweetDeck&#39;</span><span class="p">),</span> <span class="s1">&#39;source&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;TweetDeck&#39;</span>
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<h4 id="Test">Test<a class="anchor-link" href="#Test">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">source</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
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<pre>iPhone       1964
Vine           91
Web            31
TweetDeck      11
Name: source, dtype: int64</pre>
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<h3 id="Names">Names<a class="anchor-link" href="#Names">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Get rows with word &#39;name&#39; in text where name is lowercase or None</span>
<span class="n">wrdf</span> <span class="o">=</span> <span class="n">tw_arch_clean</span><span class="p">[(</span>
    <span class="p">(</span><span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">name</span> <span class="o">==</span> <span class="s1">&#39;None&#39;</span><span class="p">)</span> <span class="o">|</span> <span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">name</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">islower</span><span class="p">())</span>
                    <span class="o">&amp;</span> <span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">text</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">contains</span><span class="p">(</span><span class="s1">&#39;name&#39;</span><span class="p">)][[</span><span class="s1">&#39;text&#39;</span><span class="p">,</span> <span class="s1">&#39;name&#39;</span><span class="p">]]</span>
<span class="n">wrdf</span><span class="p">[[</span><span class="s1">&#39;text&#39;</span><span class="p">]]</span>
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<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>text</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>35</th>
      <td>I have a new hero and his name is Howard. 14/10 https://t.co/gzLHboL7Sk</td>
    </tr>
    <tr>
      <th>168</th>
      <td>Sorry for the lack of posts today. I came home from school and had to spend quality time with my puppo. Her name is Zoey and she's 13/10 https://t...</td>
    </tr>
    <tr>
      <th>852</th>
      <td>This is my dog. Her name is Zoey. She knows I've been rating other dogs. She's not happy. 13/10 no bias at all https://t.co/ep1NkYoiwB</td>
    </tr>
    <tr>
      <th>1596</th>
      <td>When bae calls your name from across the room. 12/10 (vid by @christinemcc98) https://t.co/xolcXA6gxe</td>
    </tr>
    <tr>
      <th>1678</th>
      <td>We normally don't rate bears but this one seems nice. Her name is Thea. Appears rather fluffy. 10/10 good bear https://t.co/fZc7MixeeT</td>
    </tr>
    <tr>
      <th>1734</th>
      <td>This pup's name is Sabertooth (parents must be cool). Ears for days. Jumps unannounced. 9/10 would pet diligently https://t.co/iazoiNUviP</td>
    </tr>
    <tr>
      <th>1853</th>
      <td>This is a Sizzlin Menorah spaniel from Brooklyn named Wylie. Lovable eyes. Chiller as hell. 10/10 and I'm out.. poof https://t.co/7E0AiJXPmI</td>
    </tr>
    <tr>
      <th>1955</th>
      <td>This is a Lofted Aphrodisiac Terrier named Kip. Big fan of bed n breakfasts. Fits perfectly. 10/10 would pet firmly https://t.co/gKlLpNzIl3</td>
    </tr>
    <tr>
      <th>2034</th>
      <td>This is a Tuscaloosa Alcatraz named Jacob (Yacōb). Loves to sit in swing. Stellar tongue. 11/10 look at his feet https://t.co/2IslQ8ZSc7</td>
    </tr>
    <tr>
      <th>2066</th>
      <td>This is a Helvetica Listerine named Rufus. This time Rufus will be ready for the UPS guy. He'll never expect it 9/10 https://t.co/34OhVhMkVr</td>
    </tr>
    <tr>
      <th>2086</th>
      <td>I would do radical things in the name of Dog God. I'd believe every word in that book. 10/10 https://t.co/9ZuGAmLZDR</td>
    </tr>
    <tr>
      <th>2116</th>
      <td>This is a Deciduous Trimester mix named Spork. Only 1 ear works. No seat belt. Incredibly reckless. 9/10 still cute https://t.co/CtuJoLHiDo</td>
    </tr>
    <tr>
      <th>2125</th>
      <td>This is a Rich Mahogany Seltzer named Cherokee. Just got destroyed by a snowball. Isn't very happy about it. 9/10 https://t.co/98ZBi6o4dj</td>
    </tr>
    <tr>
      <th>2128</th>
      <td>This is a Speckled Cauliflower Yosemite named Hemry. He's terrified of intruder dog. Not one bit comfortable. 9/10 https://t.co/yV3Qgjh8iN</td>
    </tr>
    <tr>
      <th>2146</th>
      <td>This is a spotted Lipitor Rumpelstiltskin named Alphred. He can't wait for the Turkey. 10/10 would pet really well https://t.co/6GUGO7azNX</td>
    </tr>
    <tr>
      <th>2161</th>
      <td>This is a Coriander Baton Rouge named Alfredo. Loves to cuddle with smaller well-dressed dog. 10/10 would hug lots https://t.co/eCRdwouKCl</td>
    </tr>
    <tr>
      <th>2166</th>
      <td>Here we have a Gingivitis Pumpernickel named Zeus. Unmatched tennis ball capacity. 10/10 would highly recommend https://t.co/jPkd7hhX7m</td>
    </tr>
    <tr>
      <th>2191</th>
      <td>This is a Slovakian Helter Skelter Feta named Leroi. Likes to skip on roofs. Good traction. Much balance. 10/10 wow! https://t.co/Dmy2mY2Qj5</td>
    </tr>
    <tr>
      <th>2204</th>
      <td>This is an Irish Rigatoni terrier named Berta. Completely made of rope. No eyes. Quite large. Loves to dance. 10/10 https://t.co/EM5fDykrJg</td>
    </tr>
    <tr>
      <th>2218</th>
      <td>This is a Birmingham Quagmire named Chuk. Loves to relax and watch the game while sippin on that iced mocha. 10/10 https://t.co/HvNg9JWxFt</td>
    </tr>
    <tr>
      <th>2227</th>
      <td>Here we have an Azerbaijani Buttermilk named Guss. He sees a demon baby Hitler behind his owner. 10/10 stays alert https://t.co/aeZykWwiJN</td>
    </tr>
    <tr>
      <th>2235</th>
      <td>This is a Trans Siberian Kellogg named Alfonso. Huge ass eyeballs. Actually Dobby from Harry Potter. 7/10 https://t.co/XpseHBlAAb</td>
    </tr>
    <tr>
      <th>2249</th>
      <td>This is a Shotokon Macadamia mix named Cheryl. Sophisticated af. Looks like a disappointed librarian. Shh (lol) 9/10 https://t.co/J4GnJ5Swba</td>
    </tr>
    <tr>
      <th>2255</th>
      <td>This is a rare Hungarian Pinot named Jessiga. She is either mid-stroke or got stuck in the washing machine. 8/10 https://t.co/ZU0i0KJyqD</td>
    </tr>
    <tr>
      <th>2264</th>
      <td>This is a southwest Coriander named Klint. Hat looks expensive. Still on house arrest :(\n9/10 https://t.co/IQTOMqDUIe</td>
    </tr>
    <tr>
      <th>2267</th>
      <td>Another topnotch dog. His name is Big Jumpy Rat. Massive ass feet. Superior tail. Jumps high af. 12/10 great pup https://t.co/seESNzgsdm</td>
    </tr>
    <tr>
      <th>2269</th>
      <td>This a Norwegian Pewterschmidt named Tickles. Ears for days. 12/10 I care deeply for Tickles https://t.co/0aDF62KVP7</td>
    </tr>
    <tr>
      <th>2273</th>
      <td>This is a northern Wahoo named Kohl. He runs this town. Chases tumbleweeds. Draws gun wicked fast. 11/10 legendary https://t.co/J4vn2rOYFk</td>
    </tr>
    <tr>
      <th>2287</th>
      <td>This is a Dasani Kingfisher from Maine. His name is Daryl. Daryl doesn't like being swallowed by a panda. 8/10 https://t.co/jpaeu6LNmW</td>
    </tr>
    <tr>
      <th>2304</th>
      <td>This is a curly Ticonderoga named Pepe. No feet. Loves to jet ski. 11/10 would hug until forever https://t.co/cyDfaK8NBc</td>
    </tr>
    <tr>
      <th>2306</th>
      <td>These are Peruvian Feldspars. Their names are Cupit and Prencer. Both resemble Rand Paul. Sick outfits 10/10 &amp;amp; 10/10 https://t.co/ZnEMHBsAs1</td>
    </tr>
    <tr>
      <th>2311</th>
      <td>This is a purebred Bacardi named Octaviath. Can shoot spaghetti out of mouth. 10/10 https://t.co/uEvsGLOFHa</td>
    </tr>
    <tr>
      <th>2314</th>
      <td>This is a golden Buckminsterfullerene named Johm. Drives trucks. Lumberjack (?). Enjoys wall. 8/10 would hug softly https://t.co/uQbZJM2DQB</td>
    </tr>
  </tbody>
</table>
</div>
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<p>We can notice that names of a dogs go after 'name is' and 'named'. Also there is a special case 'Big Jumpy Rat' - process it manually.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Get text column index</span>
<span class="n">text_idx</span> <span class="o">=</span> <span class="n">wrdf</span><span class="o">.</span><span class="n">columns</span><span class="o">.</span><span class="n">get_loc</span><span class="p">(</span><span class="s2">&quot;text&quot;</span><span class="p">)</span>

<span class="c1"># Iterate every row</span>
<span class="k">for</span> <span class="n">index</span><span class="p">,</span> <span class="n">row</span> <span class="ow">in</span> <span class="n">wrdf</span><span class="o">.</span><span class="n">iterrows</span><span class="p">():</span>
    <span class="n">t</span> <span class="o">=</span> <span class="n">row</span><span class="p">[</span><span class="n">text_idx</span><span class="p">]</span>
    
    <span class="c1"># Check for name is</span>
    <span class="n">_</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">after</span> <span class="o">=</span> <span class="n">t</span><span class="o">.</span><span class="n">partition</span><span class="p">(</span><span class="s1">&#39;name is&#39;</span><span class="p">)</span>
    <span class="k">if</span> <span class="n">after</span><span class="p">:</span>
        <span class="n">name</span> <span class="o">=</span> <span class="n">after</span><span class="o">.</span><span class="n">split</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">strip</span><span class="p">(</span><span class="s1">&#39; ,.&#39;</span><span class="p">)</span>
        <span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">index</span><span class="p">,</span> <span class="s1">&#39;name&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">name</span>
        <span class="k">continue</span>

    <span class="c1"># Check for named</span>
    <span class="n">_</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">after</span> <span class="o">=</span> <span class="n">t</span><span class="o">.</span><span class="n">partition</span><span class="p">(</span><span class="s1">&#39;named&#39;</span><span class="p">)</span>
    <span class="k">if</span> <span class="n">after</span><span class="p">:</span>
        <span class="n">name</span> <span class="o">=</span> <span class="n">after</span><span class="o">.</span><span class="n">split</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">strip</span><span class="p">(</span><span class="s1">&#39; ,.&#39;</span><span class="p">)</span>
        <span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">index</span><span class="p">,</span> <span class="s1">&#39;name&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">name</span>
        <span class="k">continue</span>

    <span class="c1"># Special case</span>
    <span class="k">if</span> <span class="s1">&#39;Big Jumpy Rat&#39;</span> <span class="ow">in</span> <span class="n">t</span><span class="p">:</span>
        <span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">index</span><span class="p">,</span> <span class="s1">&#39;name&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;Big Jumpy Rat&#39;</span>
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<p>Now we can filter out the rest cases with wrong names.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tw_arch_clean</span> <span class="o">=</span> <span class="n">tw_arch_clean</span><span class="p">[(</span><span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">name</span> <span class="o">!=</span> <span class="s1">&#39;None&#39;</span><span class="p">)</span>
                              <span class="o">&amp;</span> <span class="p">(</span><span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">name</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">islower</span><span class="p">()</span> <span class="o">==</span> <span class="kc">False</span><span class="p">)]</span>
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<p>Let's look at short names.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tw_arch_clean</span><span class="p">[</span><span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">name</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">len</span><span class="p">()</span> <span class="o">&lt;</span> <span class="mi">3</span><span class="p">][[</span><span class="s1">&#39;text&#39;</span><span class="p">,</span> <span class="s1">&#39;name&#39;</span><span class="p">]]</span>
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    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
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    .dataframe thead th {
        text-align: right;
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<table border="1" class="dataframe">
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    <tr style="text-align: right;">
      <th></th>
      <th>text</th>
      <th>name</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>393</th>
      <td>This is Mo. No one will push him around in the grocery cart. He's quite pupset about it. 11/10 I volunteer https://t.co/feNwTq12S5</td>
      <td>Mo</td>
    </tr>
    <tr>
      <th>449</th>
      <td>This is Bo. He was a very good First Doggo. 14/10 would be an absolute honor to pet https://t.co/AdPKrI8BZ1</td>
      <td>Bo</td>
    </tr>
    <tr>
      <th>553</th>
      <td>This is Bo. He's going to make me cry. 13/10 please get off the bus for him Carly https://t.co/U7FvBZo6Bq</td>
      <td>Bo</td>
    </tr>
    <tr>
      <th>679</th>
      <td>This is Bo. He's a West Congolese Bugaboop Snuggle. Rather exotic. Master of the head tilt. 12/10 would pay to pet https://t.co/2jwxxtNzoN</td>
      <td>Bo</td>
    </tr>
    <tr>
      <th>775</th>
      <td>This is O'Malley. That is how he sleeps. Doesn't care what you think about it. 10/10 comfy af https://t.co/Pq150LeRaC</td>
      <td>O</td>
    </tr>
    <tr>
      <th>820</th>
      <td>Meet Al Cabone. He's a gangsta puppa. Rather h*ckin ruthless. Shows no mercy sometimes. 11/10 pet w extreme caution https://t.co/OUwWbEKOUV</td>
      <td>Al</td>
    </tr>
    <tr>
      <th>876</th>
      <td>This is Bo and Ty. Bo eats paper and Ty felt left out. 11/10 for both https://t.co/1acHQS8rvK</td>
      <td>Bo</td>
    </tr>
    <tr>
      <th>978</th>
      <td>This is Bo. He emanates happiness. 12/10 I could cut the freedom with a knife https://t.co/c7LNFt39eR</td>
      <td>Bo</td>
    </tr>
    <tr>
      <th>1683</th>
      <td>This is Bo. He's a Benedoop Cumbersnatch. Seems frustrated with own feet. Portable as hell. 11/10 very solid pupper https://t.co/TONMhRoQh7</td>
      <td>Bo</td>
    </tr>
    <tr>
      <th>1988</th>
      <td>This is Ed. He's not mad, just disappointed. 10/10 https://t.co/BIljU0zhLN</td>
      <td>Ed</td>
    </tr>
    <tr>
      <th>2041</th>
      <td>This is JD (stands for "just dog"). He's like Airbud but with trading card games instead of sports. 10/10 much skill https://t.co/zzueJV9jCF</td>
      <td>JD</td>
    </tr>
    <tr>
      <th>2219</th>
      <td>This is Jo. Jo is a Swedish Queso. Tongue bigger than face. Tiny lil legs. Still no seatbelt. Simply careless. 8/10 https://t.co/Edy7B5vOp2</td>
      <td>Jo</td>
    </tr>
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<p>We can notice 2 wrong records here. Fix them manually.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">775</span><span class="p">,</span> <span class="s1">&#39;name&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s2">&quot;O&#39;Malley&quot;</span>
<span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">820</span><span class="p">,</span> <span class="s1">&#39;name&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s2">&quot;Al Cabone&quot;</span>
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<h4 id="Test">Test<a class="anchor-link" href="#Test">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tw_arch_clean</span><span class="p">[(</span><span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">name</span> <span class="o">==</span> <span class="s1">&#39;None&#39;</span><span class="p">)</span>
              <span class="o">|</span> <span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">name</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">islower</span><span class="p">()]</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>0</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tw_arch_clean</span><span class="p">[</span><span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">name</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">len</span><span class="p">()</span> <span class="o">&lt;</span> <span class="mi">3</span><span class="p">][[</span><span class="s1">&#39;text&#39;</span><span class="p">,</span> <span class="s1">&#39;name&#39;</span><span class="p">]]</span>
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    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>text</th>
      <th>name</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>393</th>
      <td>This is Mo. No one will push him around in the grocery cart. He's quite pupset about it. 11/10 I volunteer https://t.co/feNwTq12S5</td>
      <td>Mo</td>
    </tr>
    <tr>
      <th>449</th>
      <td>This is Bo. He was a very good First Doggo. 14/10 would be an absolute honor to pet https://t.co/AdPKrI8BZ1</td>
      <td>Bo</td>
    </tr>
    <tr>
      <th>553</th>
      <td>This is Bo. He's going to make me cry. 13/10 please get off the bus for him Carly https://t.co/U7FvBZo6Bq</td>
      <td>Bo</td>
    </tr>
    <tr>
      <th>679</th>
      <td>This is Bo. He's a West Congolese Bugaboop Snuggle. Rather exotic. Master of the head tilt. 12/10 would pay to pet https://t.co/2jwxxtNzoN</td>
      <td>Bo</td>
    </tr>
    <tr>
      <th>876</th>
      <td>This is Bo and Ty. Bo eats paper and Ty felt left out. 11/10 for both https://t.co/1acHQS8rvK</td>
      <td>Bo</td>
    </tr>
    <tr>
      <th>978</th>
      <td>This is Bo. He emanates happiness. 12/10 I could cut the freedom with a knife https://t.co/c7LNFt39eR</td>
      <td>Bo</td>
    </tr>
    <tr>
      <th>1683</th>
      <td>This is Bo. He's a Benedoop Cumbersnatch. Seems frustrated with own feet. Portable as hell. 11/10 very solid pupper https://t.co/TONMhRoQh7</td>
      <td>Bo</td>
    </tr>
    <tr>
      <th>1988</th>
      <td>This is Ed. He's not mad, just disappointed. 10/10 https://t.co/BIljU0zhLN</td>
      <td>Ed</td>
    </tr>
    <tr>
      <th>2041</th>
      <td>This is JD (stands for "just dog"). He's like Airbud but with trading card games instead of sports. 10/10 much skill https://t.co/zzueJV9jCF</td>
      <td>JD</td>
    </tr>
    <tr>
      <th>2219</th>
      <td>This is Jo. Jo is a Swedish Queso. Tongue bigger than face. Tiny lil legs. Still no seatbelt. Simply careless. 8/10 https://t.co/Edy7B5vOp2</td>
      <td>Jo</td>
    </tr>
  </tbody>
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<h3 id="Ratings">Ratings<a class="anchor-link" href="#Ratings">&#182;</a></h3>
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<h4 id="Code">Code<a class="anchor-link" href="#Code">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Get column indexes</span>
<span class="n">text_idx</span> <span class="o">=</span> <span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">columns</span><span class="o">.</span><span class="n">get_loc</span><span class="p">(</span><span class="s2">&quot;text&quot;</span><span class="p">)</span>
<span class="n">numerator_idx</span> <span class="o">=</span> <span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">columns</span><span class="o">.</span><span class="n">get_loc</span><span class="p">(</span><span class="s2">&quot;rating_numerator&quot;</span><span class="p">)</span>
<span class="n">denominator_idx</span> <span class="o">=</span> <span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">columns</span><span class="o">.</span><span class="n">get_loc</span><span class="p">(</span><span class="s2">&quot;rating_denominator&quot;</span><span class="p">)</span>
<span class="n">name_idx</span> <span class="o">=</span> <span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">columns</span><span class="o">.</span><span class="n">get_loc</span><span class="p">(</span><span class="s2">&quot;name&quot;</span><span class="p">)</span>

<span class="n">drop_rows</span> <span class="o">=</span> <span class="p">[]</span>
<span class="n">fixed_rows</span> <span class="o">=</span> <span class="mi">0</span>

<span class="c1"># Iterate every row</span>
<span class="k">for</span> <span class="n">index</span><span class="p">,</span> <span class="n">row</span> <span class="ow">in</span> <span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">iterrows</span><span class="p">():</span>
    <span class="n">ratings</span> <span class="o">=</span> <span class="n">re</span><span class="o">.</span><span class="n">findall</span><span class="p">(</span><span class="sa">r</span><span class="s2">&quot;\d+\.?\d*\/\d+\.?\d*&quot;</span><span class="p">,</span> <span class="n">row</span><span class="p">[</span><span class="n">text_idx</span><span class="p">])</span>

    <span class="n">rat</span> <span class="o">=</span> <span class="p">[]</span>
    <span class="k">for</span> <span class="n">r</span> <span class="ow">in</span> <span class="n">ratings</span><span class="p">:</span>
        <span class="n">n</span><span class="p">,</span> <span class="n">d</span> <span class="o">=</span> <span class="n">r</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;/&#39;</span><span class="p">)</span>
        <span class="k">if</span> <span class="n">d</span><span class="o">.</span><span class="n">strip</span><span class="p">(</span><span class="s1">&#39; ,.&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;10&#39;</span><span class="p">:</span>
            <span class="n">rat</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="nb">float</span><span class="p">(</span><span class="n">n</span><span class="p">))</span>

    <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">rat</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
        <span class="c1"># Check rating</span>
        <span class="k">if</span> <span class="n">row</span><span class="p">[</span><span class="n">denominator_idx</span><span class="p">]</span> <span class="o">!=</span> <span class="mi">10</span> <span class="ow">or</span> <span class="n">row</span><span class="p">[</span><span class="n">numerator_idx</span><span class="p">]</span> <span class="o">!=</span> <span class="n">rat</span><span class="p">[</span><span class="mi">0</span><span class="p">]:</span>
            <span class="n">fixed_rows</span> <span class="o">+=</span> <span class="mi">1</span>
            <span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">index</span><span class="p">,</span> <span class="s1">&#39;rating_numerator&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">rat</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
            <span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">index</span><span class="p">,</span> <span class="s1">&#39;rating_denominator&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="mi">10</span>

    <span class="c1"># Drop pictures with more than 1 rating</span>
    <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">rat</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">1</span><span class="p">:</span>
        <span class="n">drop_rows</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">index</span><span class="p">)</span>

<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Fixed rows&quot;</span><span class="p">,</span> <span class="n">fixed_rows</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Dropped rows&quot;</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">drop_rows</span><span class="p">))</span>

<span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">drop_rows</span><span class="p">):</span>
    <span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">drop_rows</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<pre>Fixed rows 5
Dropped rows 13
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<h4 id="Test">Test<a class="anchor-link" href="#Test">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">wrong_rat</span> <span class="o">=</span> <span class="mi">0</span>
<span class="c1"># Iterate every row</span>
<span class="k">for</span> <span class="n">index</span><span class="p">,</span> <span class="n">row</span> <span class="ow">in</span> <span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">iterrows</span><span class="p">():</span>
    <span class="n">ratings</span> <span class="o">=</span> <span class="n">re</span><span class="o">.</span><span class="n">findall</span><span class="p">(</span><span class="sa">r</span><span class="s2">&quot;\d+\.?\d*\/\d+\.?\d*&quot;</span><span class="p">,</span> <span class="n">row</span><span class="p">[</span><span class="n">text_idx</span><span class="p">])</span>

    <span class="n">rat</span> <span class="o">=</span> <span class="p">[]</span>
    <span class="k">for</span> <span class="n">r</span> <span class="ow">in</span> <span class="n">ratings</span><span class="p">:</span>
        <span class="n">n</span><span class="p">,</span> <span class="n">d</span> <span class="o">=</span> <span class="n">r</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;/&#39;</span><span class="p">)</span>
        <span class="k">if</span> <span class="n">d</span><span class="o">.</span><span class="n">strip</span><span class="p">(</span><span class="s1">&#39; ,.&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;10&#39;</span><span class="p">:</span>
            <span class="n">rat</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="nb">float</span><span class="p">(</span><span class="n">n</span><span class="p">))</span>

    <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">rat</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
        <span class="c1"># Check rating</span>
        <span class="k">if</span> <span class="n">row</span><span class="p">[</span><span class="n">denominator_idx</span><span class="p">]</span> <span class="o">!=</span> <span class="mi">10</span> <span class="ow">or</span> <span class="n">row</span><span class="p">[</span><span class="n">numerator_idx</span><span class="p">]</span> <span class="o">!=</span> <span class="n">rat</span><span class="p">[</span><span class="mi">0</span><span class="p">]:</span>
            <span class="n">wrong_rat</span> <span class="o">+=</span> <span class="mi">1</span>

    <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">rat</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">1</span><span class="p">:</span>
        <span class="n">wrong_rat</span> <span class="o">+=</span> <span class="mi">1</span>

<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Wrong ratings&quot;</span><span class="p">,</span> <span class="n">wrong_rat</span><span class="p">)</span>
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<pre>Wrong ratings 0
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<h4 id="Code">Code<a class="anchor-link" href="#Code">&#182;</a></h4><p>Now we can drop denumerator column as it has only 10 values there and rename numerator to rating.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s1">&#39;rating_denominator&#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="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">rename</span><span class="p">({</span><span class="s1">&#39;rating_numerator&#39;</span><span class="p">:</span><span class="s1">&#39;rating&#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="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<h4 id="Test">Test<a class="anchor-link" href="#Test">&#182;</a></h4>
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<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
Int64Index: 1407 entries, 0 to 2325
Data columns (total 11 columns):
 #   Column         Non-Null Count  Dtype              
---  ------         --------------  -----              
 0   tweet_id       1407 non-null   int64              
 1   timestamp      1407 non-null   datetime64[ns, UTC]
 2   source         1407 non-null   object             
 3   text           1407 non-null   object             
 4   expanded_urls  1407 non-null   object             
 5   rating         1407 non-null   float64            
 6   name           1407 non-null   object             
 7   doggo          1407 non-null   object             
 8   floofer        1407 non-null   object             
 9   pupper         1407 non-null   object             
 10  puppo          1407 non-null   object             
dtypes: datetime64[ns, UTC](1), float64(1), int64(1), object(8)
memory usage: 131.9+ KB
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<h3 id="Format-p1,-p2,-p3-values">Format p1, p2, p3 values<a class="anchor-link" href="#Format-p1,-p2,-p3-values">&#182;</a></h3>
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<h4 id="Code">Code<a class="anchor-link" href="#Code">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tw_pred_clean</span><span class="p">[</span><span class="s1">&#39;p1&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">tw_pred_clean</span><span class="p">[</span><span class="s1">&#39;p1&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;_&#39;</span><span class="p">,</span> <span class="s1">&#39; &#39;</span><span class="p">)</span>
<span class="n">tw_pred_clean</span><span class="p">[</span><span class="s1">&#39;p2&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">tw_pred_clean</span><span class="p">[</span><span class="s1">&#39;p2&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;_&#39;</span><span class="p">,</span> <span class="s1">&#39; &#39;</span><span class="p">)</span>
<span class="n">tw_pred_clean</span><span class="p">[</span><span class="s1">&#39;p3&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">tw_pred_clean</span><span class="p">[</span><span class="s1">&#39;p3&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;_&#39;</span><span class="p">,</span> <span class="s1">&#39; &#39;</span><span class="p">)</span>
<span class="n">tw_pred_clean</span><span class="p">[</span><span class="s1">&#39;p1&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">tw_pred_clean</span><span class="p">[</span><span class="s1">&#39;p1&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">title</span><span class="p">()</span>
<span class="n">tw_pred_clean</span><span class="p">[</span><span class="s1">&#39;p2&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">tw_pred_clean</span><span class="p">[</span><span class="s1">&#39;p2&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">title</span><span class="p">()</span>
<span class="n">tw_pred_clean</span><span class="p">[</span><span class="s1">&#39;p3&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">tw_pred_clean</span><span class="p">[</span><span class="s1">&#39;p3&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">title</span><span class="p">()</span>
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<h4 id="Test">Test<a class="anchor-link" href="#Test">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tw_pred_clean</span><span class="p">[</span><span class="s1">&#39;p1&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">contains</span><span class="p">(</span><span class="s1">&#39;_&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">(),</span> \
<span class="n">tw_pred_clean</span><span class="p">[</span><span class="s1">&#39;p2&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">contains</span><span class="p">(</span><span class="s1">&#39;_&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">(),</span> \
<span class="n">tw_pred_clean</span><span class="p">[</span><span class="s1">&#39;p3&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">contains</span><span class="p">(</span><span class="s1">&#39;_&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">(),</span> \
<span class="n">tw_pred_clean</span><span class="p">[</span><span class="s1">&#39;p1&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">islower</span><span class="p">()</span><span class="o">.</span><span class="n">sum</span><span class="p">(),</span> \
<span class="n">tw_pred_clean</span><span class="p">[</span><span class="s1">&#39;p2&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">islower</span><span class="p">()</span><span class="o">.</span><span class="n">sum</span><span class="p">(),</span> \
<span class="n">tw_pred_clean</span><span class="p">[</span><span class="s1">&#39;p3&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">islower</span><span class="p">()</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span>
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<pre>(0, 0, 0, 0, 0, 0)</pre>
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<h3 id="Image-URL-duplicates">Image URL duplicates<a class="anchor-link" href="#Image-URL-duplicates">&#182;</a></h3>
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<h4 id="Code">Code<a class="anchor-link" href="#Code">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tw_pred_clean</span><span class="o">.</span><span class="n">drop_duplicates</span><span class="p">(</span><span class="n">subset</span><span class="o">=</span><span class="s2">&quot;jpg_url&quot;</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<h4 id="Test">Test<a class="anchor-link" href="#Test">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tw_pred_clean</span><span class="o">.</span><span class="n">jpg_url</span><span class="o">.</span><span class="n">duplicated</span><span class="p">()</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span>
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<pre>0</pre>
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<h3 id="Stage">Stage<a class="anchor-link" href="#Stage">&#182;</a></h3>
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<h4 id="Code">Code<a class="anchor-link" href="#Code">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Convert to dummy</span>
<span class="k">for</span> <span class="n">st</span> <span class="ow">in</span> <span class="p">[</span><span class="s1">&#39;doggo&#39;</span><span class="p">,</span> <span class="s1">&#39;floofer&#39;</span><span class="p">,</span> <span class="s1">&#39;pupper&#39;</span><span class="p">,</span> <span class="s1">&#39;puppo&#39;</span><span class="p">]:</span>
    <span class="n">tw_arch_clean</span><span class="p">[</span><span class="n">st</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;None&#39;</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
    <span class="n">tw_arch_clean</span><span class="p">[</span><span class="n">st</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">st</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Find wrong values (more than 1 in a row)</span>
<span class="n">tw_arch_clean</span><span class="p">[</span><span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">doggo</span> <span class="o">+</span> <span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">floofer</span> <span class="o">+</span>
              <span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">pupper</span> <span class="o">+</span> <span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">puppo</span> <span class="o">&gt;</span> <span class="mi">1</span><span class="p">][[</span>
                  <span class="s1">&#39;text&#39;</span><span class="p">,</span> <span class="s1">&#39;doggo&#39;</span><span class="p">,</span> <span class="s1">&#39;floofer&#39;</span><span class="p">,</span> <span class="s1">&#39;pupper&#39;</span><span class="p">,</span> <span class="s1">&#39;puppo&#39;</span>
              <span class="p">]]</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
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      <th></th>
      <th>text</th>
      <th>doggo</th>
      <th>floofer</th>
      <th>pupper</th>
      <th>puppo</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>460</th>
      <td>This is Dido. She's playing the lead role in "Pupper Stops to Catch Snow Before Resuming Shadow Box with Dried Apple." 13/10 (IG: didodoggo) https...</td>
      <td>1</td>
      <td>0</td>
      <td>1</td>
      <td>0</td>
    </tr>
    <tr>
      <th>575</th>
      <td>This is Bones. He's being haunted by another doggo of roughly the same size. 12/10 deep breaths pupper everything's fine https://t.co/55Dqe0SJNj</td>
      <td>1</td>
      <td>0</td>
      <td>1</td>
      <td>0</td>
    </tr>
    <tr>
      <th>705</th>
      <td>This is Pinot. He's a sophisticated doggo. You can tell by the hat. Also pointier than your average pupper. Still 10/10 would pet cautiously https...</td>
      <td>1</td>
      <td>0</td>
      <td>1</td>
      <td>0</td>
    </tr>
    <tr>
      <th>889</th>
      <td>Meet Maggie &amp;amp; Lila. Maggie is the doggo, Lila is the pupper. They are sisters. Both 12/10 would pet at the same time https://t.co/MYwR4DQKll</td>
      <td>1</td>
      <td>0</td>
      <td>1</td>
      <td>0</td>
    </tr>
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<p>Fix errors manualy</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">460</span><span class="p">,</span> <span class="s1">&#39;doggo&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">575</span><span class="p">,</span> <span class="s1">&#39;doggo&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">705</span><span class="p">,</span> <span class="s1">&#39;pupper&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
<span class="c1">#drop row with two dogs</span>
<span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="mi">889</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">);</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#view numbers before transform</span>
<span class="n">tw_arch_clean</span><span class="p">[</span><span class="s1">&#39;doggo&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">sum</span><span class="p">(),</span> \
<span class="n">tw_arch_clean</span><span class="p">[</span><span class="s1">&#39;floofer&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">sum</span><span class="p">(),</span> \
<span class="n">tw_arch_clean</span><span class="p">[</span><span class="s1">&#39;pupper&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">sum</span><span class="p">(),</span> \
<span class="n">tw_arch_clean</span><span class="p">[</span><span class="s1">&#39;puppo&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span>
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<pre>(39, 5, 121, 17)</pre>
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<p>Using a technique from here <a href="https://stackoverflow.com/questions/50332270/most-efficient-way-to-un-dummy-variables-in-pandas-df">https://stackoverflow.com/questions/50332270/most-efficient-way-to-un-dummy-variables-in-pandas-df</a></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Add dummy column. It&#39;s needed for None cases</span>
<span class="n">tw_arch_clean</span><span class="p">[</span><span class="s1">&#39;None&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="mf">0.5</span>


<span class="k">def</span> <span class="nf">undummy</span><span class="p">(</span><span class="n">d</span><span class="p">):</span>
    <span class="k">return</span> <span class="n">d</span><span class="o">.</span><span class="n">columns</span><span class="p">[</span><span class="n">d</span><span class="o">.</span><span class="n">values</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="mi">1</span><span class="p">)]</span>


<span class="n">tw_arch_clean</span> <span class="o">=</span> <span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">stage</span><span class="o">=</span><span class="n">tw_arch_clean</span><span class="p">[</span>
    <span class="p">[</span><span class="s1">&#39;doggo&#39;</span><span class="p">,</span> <span class="s1">&#39;floofer&#39;</span><span class="p">,</span> <span class="s1">&#39;pupper&#39;</span><span class="p">,</span> <span class="s1">&#39;puppo&#39;</span><span class="p">,</span> <span class="s1">&#39;None&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">pipe</span><span class="p">(</span><span class="n">undummy</span><span class="p">))</span>

<span class="n">tw_arch_clean</span><span class="p">[</span><span class="s1">&#39;stage&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;None&#39;</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>

<span class="c1"># Drop unneeded columns</span>
<span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span><span class="s1">&#39;doggo&#39;</span><span class="p">,</span> <span class="s1">&#39;floofer&#39;</span><span class="p">,</span> <span class="s1">&#39;pupper&#39;</span><span class="p">,</span> <span class="s1">&#39;puppo&#39;</span><span class="p">,</span> <span class="s1">&#39;None&#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="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<h4 id="Test">Test<a class="anchor-link" href="#Test">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">stage</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
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<pre>pupper     121
doggo       39
puppo       17
floofer      5
Name: stage, dtype: int64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tw_arch_clean</span><span class="o">.</span><span class="n">info</span><span class="p">()</span>
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<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
Int64Index: 1406 entries, 0 to 2325
Data columns (total 8 columns):
 #   Column         Non-Null Count  Dtype              
---  ------         --------------  -----              
 0   tweet_id       1406 non-null   int64              
 1   timestamp      1406 non-null   datetime64[ns, UTC]
 2   source         1406 non-null   object             
 3   text           1406 non-null   object             
 4   expanded_urls  1406 non-null   object             
 5   rating         1406 non-null   float64            
 6   name           1406 non-null   object             
 7   stage          182 non-null    object             
dtypes: datetime64[ns, UTC](1), float64(1), int64(1), object(5)
memory usage: 98.9+ KB
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<h3 id="Neural-network-predictions">Neural network predictions<a class="anchor-link" href="#Neural-network-predictions">&#182;</a></h3>
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<h4 id="Code">Code<a class="anchor-link" href="#Code">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Create dummy columns</span>
<span class="n">tw_pred_clean</span><span class="p">[</span><span class="s1">&#39;breed&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;None&#39;</span>
<span class="n">tw_pred_clean</span><span class="p">[</span><span class="s1">&#39;conf&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="mf">0.0</span>


<span class="k">def</span> <span class="nf">get_breed</span><span class="p">(</span><span class="n">row</span><span class="p">):</span>
    <span class="n">breed</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span>
    <span class="n">conf</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">4</span><span class="p">):</span>
        <span class="k">if</span> <span class="n">row</span><span class="p">[</span><span class="s1">&#39;p</span><span class="si">{}</span><span class="s1">_dog&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">i</span><span class="p">)]:</span>
            <span class="k">if</span> <span class="n">row</span><span class="p">[</span><span class="s1">&#39;p</span><span class="si">{}</span><span class="s1">_conf&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">i</span><span class="p">)]</span> <span class="o">&gt;</span> <span class="n">conf</span><span class="p">:</span>
                <span class="n">conf</span> <span class="o">=</span> <span class="n">row</span><span class="p">[</span><span class="s1">&#39;p</span><span class="si">{}</span><span class="s1">_conf&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">i</span><span class="p">)]</span>
                <span class="n">breed</span> <span class="o">=</span> <span class="n">row</span><span class="p">[</span><span class="s1">&#39;p</span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">i</span><span class="p">)]</span>
    <span class="n">row</span><span class="p">[</span><span class="s1">&#39;breed&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">breed</span>
    <span class="n">row</span><span class="p">[</span><span class="s1">&#39;conf&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">conf</span>
    <span class="k">return</span> <span class="n">row</span>


<span class="n">tw_pred_clean</span><span class="p">[[</span><span class="s1">&#39;breed&#39;</span><span class="p">,</span>
               <span class="s1">&#39;conf&#39;</span><span class="p">]]</span> <span class="o">=</span> <span class="n">tw_pred_clean</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="n">get_breed</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="s1">&#39;breed&#39;</span><span class="p">,</span> <span class="s1">&#39;conf&#39;</span><span class="p">]]</span>

<span class="c1"># Drop unneeded columns</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">4</span><span class="p">):</span>
    <span class="n">a</span> <span class="o">=</span> <span class="s1">&#39;p</span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">i</span><span class="p">)</span>
    <span class="n">b</span> <span class="o">=</span> <span class="s1">&#39;p</span><span class="si">{}</span><span class="s1">_dog&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">i</span><span class="p">)</span>
    <span class="n">c</span> <span class="o">=</span> <span class="s1">&#39;p</span><span class="si">{}</span><span class="s1">_conf&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">i</span><span class="p">)</span>
    <span class="n">tw_pred_clean</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">c</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<h4 id="Test">Test<a class="anchor-link" href="#Test">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tw_pred_clean</span><span class="o">.</span><span class="n">breed</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
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<pre>Golden Retriever      158
Labrador Retriever    108
Pembroke               95
Chihuahua              91
Pug                    63
                     ... 
Entlebucher             1
Scotch Terrier          1
Standard Schnauzer      1
Clumber                 1
Japanese Spaniel        1
Name: breed, Length: 113, dtype: int64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tw_pred_clean</span><span class="o">.</span><span class="n">info</span><span class="p">()</span>
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<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
Int64Index: 2009 entries, 0 to 2074
Data columns (total 5 columns):
 #   Column    Non-Null Count  Dtype  
---  ------    --------------  -----  
 0   tweet_id  2009 non-null   int64  
 1   jpg_url   2009 non-null   object 
 2   img_num   2009 non-null   int64  
 3   breed     1691 non-null   object 
 4   conf      2009 non-null   float64
dtypes: float64(1), int64(2), object(2)
memory usage: 94.2+ KB
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<h3 id="Join-to-a-single-Master-DataFrame">Join to a single Master DataFrame<a class="anchor-link" href="#Join-to-a-single-Master-DataFrame">&#182;</a></h3>
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<h4 id="Code">Code<a class="anchor-link" href="#Code">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Rename columns</span>
<span class="n">df_tw_clean</span><span class="o">.</span><span class="n">rename</span><span class="p">({</span><span class="s1">&#39;id&#39;</span><span class="p">:</span> <span class="s1">&#39;tweet_id&#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="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>

<span class="n">master_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">left</span><span class="o">=</span><span class="n">tw_arch_clean</span><span class="p">,</span>
                     <span class="n">right</span><span class="o">=</span><span class="n">df_tw_clean</span><span class="p">,</span>
                     <span class="n">left_on</span><span class="o">=</span><span class="s1">&#39;tweet_id&#39;</span><span class="p">,</span>
                     <span class="n">right_on</span><span class="o">=</span><span class="s1">&#39;tweet_id&#39;</span><span class="p">,</span>
                     <span class="n">how</span><span class="o">=</span><span class="s1">&#39;inner&#39;</span><span class="p">)</span>

<span class="n">master_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">left</span><span class="o">=</span><span class="n">master_df</span><span class="p">,</span>
                     <span class="n">right</span><span class="o">=</span><span class="n">tw_pred_clean</span><span class="p">,</span>
                     <span class="n">left_on</span><span class="o">=</span><span class="s1">&#39;tweet_id&#39;</span><span class="p">,</span>
                     <span class="n">right_on</span><span class="o">=</span><span class="s1">&#39;tweet_id&#39;</span><span class="p">,</span>
                     <span class="n">how</span><span class="o">=</span><span class="s1">&#39;inner&#39;</span><span class="p">)</span>
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<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
Int64Index: 1357 entries, 0 to 1356
Data columns (total 14 columns):
 #   Column          Non-Null Count  Dtype              
---  ------          --------------  -----              
 0   tweet_id        1357 non-null   int64              
 1   timestamp       1357 non-null   datetime64[ns, UTC]
 2   source          1357 non-null   object             
 3   text            1357 non-null   object             
 4   expanded_urls   1357 non-null   object             
 5   rating          1357 non-null   float64            
 6   name            1357 non-null   object             
 7   stage           174 non-null    object             
 8   favorite_count  1357 non-null   int64              
 9   retweet_count   1357 non-null   int64              
 10  jpg_url         1357 non-null   object             
 11  img_num         1357 non-null   int64              
 12  breed           1190 non-null   object             
 13  conf            1357 non-null   float64            
dtypes: datetime64[ns, UTC](1), float64(2), int64(4), object(7)
memory usage: 159.0+ KB
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<h2 id="Store-the-clean-DataFrame">Store the clean DataFrame<a class="anchor-link" href="#Store-the-clean-DataFrame">&#182;</a></h2>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">master_df</span><span class="o">.</span><span class="n">to_csv</span><span class="p">(</span><span class="s1">&#39;data/twitter_archive_master.csv&#39;</span><span class="p">)</span>
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<h2 id="Analyze-and-visualize-data">Analyze and visualize data<a class="anchor-link" href="#Analyze-and-visualize-data">&#182;</a></h2>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Load our data from file into separate DataFrame</span>
<span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;data/twitter_archive_master.csv&#39;</span><span class="p">,</span> <span class="n">index_col</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
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<h3 id="Relationship-between-favorites-and-retweets">Relationship between favorites and retweets<a class="anchor-link" href="#Relationship-between-favorites-and-retweets">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">sns</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">color_codes</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">rp</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">regplot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s2">&quot;favorite_count&quot;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s2">&quot;retweet_count&quot;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">df</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Relationship between favorites and retweets&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;Favorites&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;Retweets&#39;</span><span class="p">)</span>
<span class="n">rp</span><span class="o">.</span><span class="n">get_figure</span><span class="p">()</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="s1">&#39;img/fav_retweet_regplot.png&#39;</span><span class="p">,</span> <span class="n">dpi</span><span class="o">=</span><span class="mi">200</span><span class="p">,</span> <span class="n">bbox_inches</span> <span class="o">=</span> <span class="s2">&quot;tight&quot;</span><span class="p">)</span>
</pre></div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;favorite_count&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">corr</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;retweet_count&#39;</span><span class="p">])</span>
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<pre>0.9256212882997505</pre>
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<h3 id="Most-popular-breed">Most popular breed<a class="anchor-link" href="#Most-popular-breed">&#182;</a></h3>
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<div class="prompt input_prompt">In&nbsp;[74]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">display_barh</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">title</span><span class="p">,</span> <span class="n">xlabel</span><span class="p">,</span> <span class="n">filename</span><span class="p">):</span>
    <span class="n">ax</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s1">&#39;barh&#39;</span><span class="p">)</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="n">title</span><span class="p">)</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="n">xlabel</span><span class="p">)</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="kc">None</span><span class="p">)</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">filename</span><span class="p">,</span> <span class="n">dpi</span><span class="o">=</span><span class="mi">200</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">&quot;tight&quot;</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">display_barh</span><span class="p">(</span>
    <span class="n">df</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;breed&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">favorite_count</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span><span class="o">.</span><span class="n">sort_values</span><span class="p">()</span><span class="o">.</span><span class="n">tail</span><span class="p">(</span><span class="mi">10</span><span class="p">),</span>
    <span class="s1">&#39;Top 10 breeds by favorites&#39;</span><span class="p">,</span> <span class="s1">&#39;Favorites&#39;</span><span class="p">,</span> <span class="s1">&#39;img/top10_breed_fav.png&#39;</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">display_barh</span><span class="p">(</span>
    <span class="n">df</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;breed&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">retweet_count</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span><span class="o">.</span><span class="n">sort_values</span><span class="p">()</span><span class="o">.</span><span class="n">tail</span><span class="p">(</span><span class="mi">10</span><span class="p">),</span>
    <span class="s1">&#39;Top 10 breeds by retweets&#39;</span><span class="p">,</span> <span class="s1">&#39;Retweets&#39;</span><span class="p">,</span> <span class="s1">&#39;img/top10_breed_retweet.png&#39;</span><span class="p">)</span>
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<div class="prompt input_prompt">In&nbsp;[77]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">display_barh</span><span class="p">(</span>
    <span class="n">df</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;breed&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">rating</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span><span class="o">.</span><span class="n">sort_values</span><span class="p">()</span><span class="o">.</span><span class="n">tail</span><span class="p">(</span><span class="mi">10</span><span class="p">),</span>
    <span class="s1">&#39;Top 10 breeds by rating&#39;</span><span class="p">,</span> <span class="s1">&#39;Rating&#39;</span><span class="p">,</span> <span class="s1">&#39;img/top10_breed_rat.png&#39;</span><span class="p">)</span>
</pre></div>

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<h3 id="Neural-Network-Confidence">Neural Network Confidence<a class="anchor-link" href="#Neural-Network-Confidence">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">display_barh</span><span class="p">(</span>
    <span class="n">df</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;breed&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">conf</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span><span class="o">.</span><span class="n">sort_values</span><span class="p">()</span><span class="o">.</span><span class="n">tail</span><span class="p">(</span><span class="mi">10</span><span class="p">),</span>
    <span class="s1">&#39;Top 10 breeds by neural network confidence&#39;</span><span class="p">,</span> <span class="s1">&#39;Neural network confidence&#39;</span><span class="p">,</span>
    <span class="s1">&#39;img/top10_breed_conf.png&#39;</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">display_barh</span><span class="p">(</span>
    <span class="n">df</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;stage&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">conf</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(),</span>
    <span class="s1">&#39;Neural network confidence by Stage&#39;</span><span class="p">,</span> <span class="s1">&#39;Neural network confidence&#39;</span><span class="p">,</span>
    <span class="s1">&#39;img/stage_conf.png&#39;</span><span class="p">)</span>
</pre></div>

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