index.html

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

<title>ENEM_1999-2008</title>

<script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.3/jquery.min.js"></script>


<style type="text/css">
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/*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */
html {
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  -ms-text-size-adjust: 100%;
  -webkit-text-size-adjust: 100%;
}
body {
  margin: 0;
}
article,
aside,
details,
figcaption,
figure,
footer,
header,
hgroup,
main,
menu,
nav,
section,
summary {
  display: block;
}
audio,
canvas,
progress,
video {
  display: inline-block;
  vertical-align: baseline;
}
audio:not([controls]) {
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  height: 0;
}
[hidden],
template {
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}
a {
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}
a:active,
a:hover {
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}
abbr[title] {
  border-bottom: 1px dotted;
}
b,
strong {
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}
dfn {
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}
h1 {
  font-size: 2em;
  margin: 0.67em 0;
}
mark {
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  color: #000;
}
small {
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}
sub,
sup {
  font-size: 75%;
  line-height: 0;
  position: relative;
  vertical-align: baseline;
}
sup {
  top: -0.5em;
}
sub {
  bottom: -0.25em;
}
img {
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svg:not(:root) {
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figure {
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hr {
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pre {
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code,
kbd,
pre,
samp {
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button,
input,
optgroup,
select,
textarea {
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}
button {
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}
button,
select {
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}
button,
html input[type="button"],
input[type="reset"],
input[type="submit"] {
  -webkit-appearance: button;
  cursor: pointer;
}
button[disabled],
html input[disabled] {
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button::-moz-focus-inner,
input::-moz-focus-inner {
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input {
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input[type="checkbox"],
input[type="radio"] {
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input[type="number"]::-webkit-inner-spin-button,
input[type="number"]::-webkit-outer-spin-button {
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input[type="search"] {
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input[type="search"]::-webkit-search-cancel-button,
input[type="search"]::-webkit-search-decoration {
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}
fieldset {
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legend {
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textarea {
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optgroup {
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}
table {
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}
td,
th {
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}
/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */
@media print {
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    text-shadow: none !important;
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  a:visited {
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}
.glyphicon-euro:before,
.glyphicon-eur:before {
  content: "\20ac";
}
.glyphicon-minus:before {
  content: "\2212";
}
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  content: "\2601";
}
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}
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}
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}
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}
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}
.glyphicon-heart:before {
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}
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}
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}
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}
.glyphicon-film:before {
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}
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}
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}
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}
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}
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}
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}
.glyphicon-file:before {
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}
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}
.glyphicon-road:before {
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}
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}
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}
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}
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}
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}
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}
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.glyphicon-play:before {
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}
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}
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}
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}
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}
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}
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}
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}
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}
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}
.glyphicon-random:before {
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}
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}
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}
.glyphicon-chevron-up:before {
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}
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}
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}
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}
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}
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}
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}
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}
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}
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}
.glyphicon-hand-up:before {
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}
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.glyphicon-circle-arrow-right:before {
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.glyphicon-globe:before {
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.glyphicon-wrench:before {
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.glyphicon-tasks:before {
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.glyphicon-heart-empty:before {
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}
.glyphicon-link:before {
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.glyphicon-floppy-saved:before {
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.glyphicon-floppy-open:before {
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.glyphicon-transfer:before {
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.glyphicon-phone-alt:before {
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.glyphicon-tower:before {
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.glyphicon-stats:before {
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.glyphicon-sd-video:before {
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.glyphicon-hd-video:before {
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.glyphicon-subtitles:before {
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.glyphicon-sound-dolby:before {
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.glyphicon-sound-5-1:before {
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.glyphicon-sound-6-1:before {
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.glyphicon-sound-7-1:before {
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.glyphicon-registration-mark:before {
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.glyphicon-cloud-download:before {
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.glyphicon-cloud-upload:before {
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.glyphicon-tree-conifer:before {
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.glyphicon-king:before {
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.glyphicon-queen:before {
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.glyphicon-pawn:before {
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.glyphicon-bishop:before {
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.glyphicon-knight:before {
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.glyphicon-bed:before {
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.glyphicon-duplicate:before {
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.glyphicon-piggy-bank:before {
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.glyphicon-scissors:before {
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.glyphicon-bitcoin:before {
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.glyphicon-btc:before {
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.glyphicon-xbt:before {
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.glyphicon-yen:before {
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.glyphicon-jpy:before {
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}
.glyphicon-ruble:before {
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.glyphicon-rub:before {
  content: "\20bd";
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.glyphicon-scale:before {
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.glyphicon-ice-lolly:before {
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.glyphicon-ice-lolly-tasted:before {
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.glyphicon-education:before {
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.glyphicon-sunglasses:before {
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.glyphicon-triangle-left:before {
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.glyphicon-triangle-bottom:before {
  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;
}
/*# sourceMappingURL=style.min.css.map */
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<style type="text/css">
    .highlight .hll { background-color: #ffffcc }
.highlight  { background: #f8f8f8; }
.highlight .c { color: #408080; font-style: italic } /* Comment */
.highlight .err { border: 1px solid #FF0000 } /* Error */
.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 */
.highlight .no { color: #880000 } /* Name.Constant */
.highlight .nd { color: #AA22FF } /* Name.Decorator */
.highlight .ni { color: #999999; font-weight: bold } /* Name.Entity */
.highlight .ne { color: #D2413A; font-weight: bold } /* Name.Exception */
.highlight .nf { color: #0000FF } /* Name.Function */
.highlight .nl { color: #A0A000 } /* Name.Label */
.highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
.highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */
.highlight .nv { color: #19177C } /* Name.Variable */
.highlight .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */
.highlight .w { color: #bbbbbb } /* Text.Whitespace */
.highlight .mb { color: #666666 } /* Literal.Number.Bin */
.highlight .mf { color: #666666 } /* Literal.Number.Float */
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.highlight .mi { color: #666666 } /* Literal.Number.Integer */
.highlight .mo { color: #666666 } /* Literal.Number.Oct */
.highlight .sa { color: #BA2121 } /* Literal.String.Affix */
.highlight .sb { color: #BA2121 } /* Literal.String.Backtick */
.highlight .sc { color: #BA2121 } /* Literal.String.Char */
.highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */
.highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */
.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 */
.highlight .s1 { color: #BA2121 } /* Literal.String.Single */
.highlight .ss { color: #19177C } /* Literal.String.Symbol */
.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
.highlight .fm { color: #0000FF } /* Name.Function.Magic */
.highlight .vc { color: #19177C } /* Name.Variable.Class */
.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 */
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<style type="text/css">
    
/* Temporary definitions which will become obsolete with Notebook release 5.0 */
.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-bold { font-weight: bold; }

    </style>
<style type="text/css">
    div#notebook {
 font-family: sans-serif;
 font-size: 13pt;
 line-height: 170%;
 color: #cdd2e9;
 -webkit-font-smoothing: antialiased !important;
 padding-top: 25px !important;
}
body,
div.body {
 font-family: sans-serif;
 font-size: 13pt;
 color: #a2b0c7;
 background-color: #262931;
 background: #262931;
 -webkit-font-smoothing: antialiased !important;
}
body.notebook_app {
 padding: 0;
 background-color: #262931;
 background: #262931;
 padding-right: 0px !important;
 overflow-y: hidden;
}
a {
 font-family: sans-serif;
 color: #a2b0c7;
 -webkit-font-smoothing: antialiased !important;
}
a:hover,
a:focus {
 color: #d8dcee;
 -webkit-font-smoothing: antialiased !important;
}
div#maintoolbar {
 position: absolute;
 width: 90%;
 margin-left: -10%;
 padding-right: 8%;
 float: left;
 background: transparent !important;
}
#maintoolbar {
 margin-bottom: -3px;
 margin-top: 0px;
 border: 0px;
 min-height: 27px;
 padding-top: 2px;
 padding-bottom: 0px;
}
#maintoolbar .container {
 width: 75%;
 margin-right: auto;
 margin-left: auto;
}
.list_header,
div#notebook_list_header.row.list_header {
 font-size: 14pt;
 color: #d8dcee;
 background-color: transparent;
 height: 35px;
}
i.fa.fa-folder {
 display: inline-block;
 font: normal normal normal 14px "FontAwesome";
 font-family: "FontAwesome" !important;
 text-rendering: auto;
 -webkit-font-smoothing: antialiased;
 font-size: 18px;
 -moz-osx-font-smoothing: grayscale;
}
#running .panel-group .panel .panel-heading {
 font-size: 14pt;
 color: #a2b0c7;
 padding: 8px 8px;
 background: #2e3642;
 background-color: #2e3642;
}
#running .panel-group .panel .panel-heading a {
 font-size: 14pt;
 color: #a2b0c7;
}
#running .panel-group .panel .panel-heading a:focus,
#running .panel-group .panel .panel-heading a:hover {
 font-size: 14pt;
 color: #a2b0c7;
}
#running .panel-group .panel .panel-body .list_container .list_item {
 background: #384152;
 background-color: #384152;
 padding: 2px;
 border-bottom: 2px solid rgba(80,92,133,.22);
}
#running .panel-group .panel .panel-body .list_container .list_item:hover {
 background: #384152;
 background-color: #384152;
}
#running .panel-group .panel .panel-body {
 padding: 2px;
}
button#refresh_running_list {
 border: none !important;
}
button#refresh_cluster_list {
 border: none !important;
}
div.running_list_info.toolbar_info {
 font-size: 15px;
 padding: 4px 0 4px 0;
 margin-top: 5px;
 margin-bottom: 8px;
 height: 24px;
 line-height: 24px;
 text-shadow: none;
}
.list_placeholder {
 font-weight: normal;
}
#tree-selector {
 padding: 0px;
 border-color: transparent;
}
#project_name > ul > li > a > i.fa.fa-home {
 color: #4c8be2;
 font-size: 17pt;
 display: inline-block;
 position: static;
 padding: 0px 0px;
 font-weight: normal;
 text-align: center;
 vertical-align: text-top;
}
.fa-folder:before {
 color: #4c8be2;
}
.fa-arrow-up:before {
 font-size: 14px;
}
.fa-arrow-down:before {
 font-size: 14px;
}
span#last-modified.btn.btn-xs.btn-default.sort-action:hover .fa,
span#sort-name.btn.btn-xs.btn-default.sort-action:hover .fa {
 color: #4c8be2;
}
.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: "\f07b";
 color: #4c8be2;
}
.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;
 color: #48a667 !important;
 top: 0px;
}
.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: "\f15b";
 position: relative;
 top: 0px;
 color: #899ab8 !important;
}
#project_name a {
 display: inline-flex;
 padding-left: 7px;
 margin-left: -2px;
 text-align: -webkit-auto;
 vertical-align: baseline;
 font-size: 18px;
}
div#notebook_toolbar div.dynamic-instructions {
 font-family: sans-serif;
 font-size: 17px;
 color: #546379;
}
span#login_widget > .button,
#logout {
 font-family: "Proxima Nova", sans-serif;
 color: #a2b0c7;
 background: transparent;
 background-color: transparent;
 border: 2px solid #3a4452;
 font-weight: normal;
 box-shadow: none;
 text-shadow: none;
 border-radius: 3px;
 margin-right: 10px;
 padding: 2px 7px;
}
span#login_widget > .button:hover,
#logout:hover {
 color: #4c8be2;
 background-color: transparent;
 background: transparent;
 border: 2px solid #4c8be2;
 background-image: none;
 box-shadow: none !important;
 border-radius: 3px;
}
span#login_widget > .button:focus,
#logout:focus,
span#login_widget > .button.focus,
#logout.focus,
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: #e4e8ee;
 background-color: #a2b0c7;
 background: #a2b0c7;
 border-color: #a2b0c7;
 background-image: none;
 box-shadow: none !important;
 border-radius: 2px;
}
body > #header #header-container {
 padding-bottom: 0px;
 padding-top: 4px;
 box-sizing: border-box;
 -moz-box-sizing: border-box;
 -webkit-box-sizing: border-box;
}
body > #header {
 background: #262931;
 background-color: #262931;
 position: relative;
 z-index: 100;
}
.list_container {
 font-size: 13pt;
 color: #a2b0c7;
 border: none;
 text-shadow: none !important;
}
.list_container > div {
 border-bottom: 1px solid rgba(80,92,133,.22);
 font-size: 13pt;
}
.list_header > div,
.list_item > div {
 padding-top: 6px;
 padding-bottom: 2px;
 padding-left: 0px;
}
.list_header > div .item_link,
.list_item > div .item_link {
 margin-left: -1px;
 vertical-align: middle;
 line-height: 22px;
 font-size: 13pt;
}
.item_icon {
 color: #4c8be2;
 font-size: 13pt;
 vertical-align: middle;
}
.list_item input:not([type="checkbox"]) {
 padding-right: 0px;
 height: 1.75em;
 width: 25%;
 margin: 0px 0 0;
 margin-top: 0px;
}
.list_header > div .item_link,
.list_item > div .item_link {
 margin-left: -1px;
 vertical-align: middle;
 line-height: 1.5em;
 font-size: 12pt;
 display: inline-table;
 position: static;
}
#button-select-all {
 height: 34px;
 min-width: 55px;
 z-index: 0;
 border: none !important;
 padding-top: 0px;
 padding-bottom: 0px;
 margin-bottom: 0px;
 margin-top: 0px;
 left: -3px;
 border-radius: 0px !important;
}
#button-select-all:focus,
#button-select-all:active:focus,
#button-select-all.active:focus,
#button-select-all.focus,
#button-select-all:active.focus,
#button-select-all.active.focus {
 background-color: #3a4452 !important;
 background: #3a4452 !important;
}
button#tree-selector-btn {
 height: 34px;
 font-size: 12.0pt;
 border: none;
 left: 0px;
 border-radius: 0px !important;
}
input#select-all.pull-left.tree-selector {
 margin-left: 7px;
 margin-right: 2px;
 margin-top: 2px;
 top: 4px;
}
input[type="radio"],
input[type="checkbox"] {
 margin-top: 1px;
 line-height: normal;
}
.delete-button {
 border: none !important;
}
i.fa.fa-trash {
 font-size: 13.5pt;
}
.list_container a {
 font-size: 16px;
 color: #a2b0c7;
 border: none;
 text-shadow: none !important;
 font-weight: normal;
 font-style: normal;
}
div.list_container a:hover {
 color: #d8dcee;
}
.list_header > div input,
.list_item > div input {
 margin-right: 7px;
 margin-left: 12px;
 vertical-align: baseline;
 line-height: 22px;
 position: relative;
 top: -1px;
}
div.list_item:hover {
 background-color: rgba(80,92,133,.05);
}
.breadcrumb > li {
 font-size: 12.0pt;
 color: #a2b0c7;
 border: none;
 text-shadow: none !important;
}
.breadcrumb > li + li:before {
 content: "/\00a0";
 padding: 0px;
 color: #a2b0c7;
 font-size: 18px;
}
#project_name > .breadcrumb {
 padding: 0px;
 margin-bottom: 0px;
 background-color: transparent;
 font-weight: normal;
 margin-top: -2px;
}
ul#tabs a {
 font-family: sans-serif;
 font-size: 13.5pt;
 font-weight: normal;
 font-style: normal;
 text-shadow: none !important;
}
.nav-tabs {
 font-family: sans-serif;
 font-size: 13.5pt;
 font-weight: normal;
 font-style: normal;
 background-color: transparent;
 border-color: transparent;
 text-shadow: none !important;
 border: 2px solid transparent;
}
.nav-tabs > li > a:active,
.nav-tabs > li > a:focus,
.nav-tabs > li > a:hover,
.nav-tabs > li.active > a,
.nav-tabs > li.active > a:focus,
.nav-tabs > li.active > a:hover,
.nav-tabs > li.active > a,
.nav-tabs > li.active > a:hover,
.nav-tabs > li.active > a:focus {
 color: #4c8be2;
 background-color: transparent;
 border-color: transparent;
 border-bottom: 2px solid transparent;
}
.nav > li.disabled > a,
.nav > li.disabled > a:hover {
 color: #546379;
}
.nav-tabs > li > a:before {
 content: "";
 position: absolute;
 width: 100%;
 height: 2px;
 bottom: -2px;
 left: 0;
 background-color: #4c8be2;
 visibility: hidden;
 -webkit-transform: perspective(0)scaleX(0);
 transform: perspective(0)scaleX(0);
 -webkit-transition: ease 220ms;
 transition: ease 220ms;
 -webkit-font-smoothing: antialiased !important;
}
.nav-tabs > li > a:hover:before {
 visibility: visible;
 -webkit-transform: perspective(1)scaleX(1);
 transform: perspective(1)scaleX(1);
}
.nav-tabs > li.active > a:before {
 content: "";
 position: absolute;
 width: 100%;
 height: 2px;
 bottom: -2px;
 left: 0;
 background-color: #4c8be2;
 visibility: visible;
 -webkit-transform: perspective(1)scaleX(1);
 transform: perspective(1)scaleX(1);
 -webkit-font-smoothing: subpixel-antialiased !important;
}
div#notebook {
 font-family: sans-serif;
 font-size: 13pt;
 padding-top: 4px;
}
.notebook_app {
 background-color: #262931;
}
#notebook-container {
 padding: 13px 2px;
 background-color: #262931;
 min-height: 0px;
 box-shadow: none;
 width: 980px;
 margin-right: auto;
 margin-left: auto;
}
div#ipython-main-app.container {
 width: 980px;
 margin-right: auto;
 margin-left: auto;
 margin-right: auto;
 margin-left: auto;
}
.container {
 width: 980px;
 margin-right: auto;
 margin-left: auto;
}
div#menubar-container {
 width: 100%;
 width: 980px;
}
div#header-container {
 width: 980px;
}
.notebook_app #header,
.edit_app #header {
 box-shadow: none !important;
 background-color: #262931;
 border-bottom: 2px solid rgba(80,92,133,.22);
}
#header,
.edit_app #header {
 font-family: sans-serif;
 font-size: 13pt;
 box-shadow: none;
 background-color: #262931;
}
#header .header-bar,
.edit_app #header .header-bar {
 background: #262931;
 background-color: #262931;
}
body > #header .header-bar {
 width: 100%;
 background: #262931;
}
span.checkpoint_status,
span.autosave_status {
 font-size: small;
 display: none;
}
#menubar,
div#menubar {
 background-color: #262931;
 padding-top: 0px !important;
}
#menubar .navbar,
.navbar-default {
 background-color: #262931;
 margin-bottom: 0px;
 margin-top: 0px;
}
.navbar {
 border: none;
}
div.navbar-text,
.navbar-text,
.navbar-text.indicator_area,
p.navbar-text.indicator_area {
 margin-top: 8px !important;
 margin-bottom: 0px;
 color: #4c8be2;
}
.navbar-default {
 font-family: sans-serif;
 font-size: 13pt;
 background-color: #262931;
 border-color: #343d4b;
 line-height: 1.5em;
 padding-bottom: 0px;
}
.navbar-default .navbar-nav > li > a {
 font-family: sans-serif;
 font-size: 13pt;
 color: #a2b0c7;
 display: block;
 line-height: 1.5em;
 padding-top: 14px;
 padding-bottom: 11px;
}
.navbar-default .navbar-nav > li > a:hover,
.navbar-default .navbar-nav > li > a:focus {
 color: #d8dcee !important;
 background-color: rgba(80,92,133,.22) !important;
 border-color: #343d4b !important;
 line-height: 1.5em;
 transition: 80ms ease;
}
.navbar-default .navbar-nav > .open > a,
.navbar-default .navbar-nav > .open > a:hover,
.navbar-default .navbar-nav > .open > a:focus {
 color: #e4e8ee;
 background-color: #384251;
 border-color: #384251;
 line-height: 1.5em;
}
.navbar-nav > li > .dropdown-menu {
 margin-top: 0px;
}
.navbar-nav {
 margin: 0;
}
div.notification_widget.info,
.notification_widget.info,
.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,
div#notification_notebook.notification_widget.btn.btn-xs.navbar-btn,
div#notification_notebook.notification_widget.btn.btn-xs.navbar-btn:hover,
div#notification_notebook.notification_widget.btn.btn-xs.navbar-btn:focus {
 color: #899ab8 !important;
 background-color: transparent !important;
 border-color: transparent !important;
 padding-bottom: 0px !important;
 margin-bottom: 0px !important;
 font-size: 9pt !important;
 z-index: 0;
}
div#notification_notebook.notification_widget.btn.btn-xs.navbar-btn {
 font-size: 9pt !important;
 z-index: 0;
}
.notification_widget {
 color: #4c8be2;
 z-index: -500;
 font-size: 9pt;
 background: transparent;
 background-color: transparent;
 margin-right: 3px;
 border: none;
}
.notification_widget,
div.notification_widget {
 margin-right: 0px;
 margin-left: 0px;
 padding-right: 0px;
 vertical-align: text-top !important;
 margin-top: 6px !important;
 background: transparent !important;
 background-color: transparent !important;
 font-size: 9pt !important;
 border: none;
}
.navbar-btn.btn-xs:hover {
 border: none !important;
 background: transparent !important;
 background-color: transparent !important;
 color: #a2b0c7 !important;
}
div.notification_widget.info,
.notification_widget.info {
 display: none !important;
}
.edit_mode .modal_indicator:before {
 display: none;
}
.command_mode .modal_indicator:before {
 display: none;
}
.item_icon {
 color: #4c8be2;
}
.item_buttons .kernel-name {
 font-size: 13pt;
 color: #4c8be2;
}
.running_notebook_icon:before {
 color: #48a667 !important;
 font: normal normal normal 15px/1 FontAwesome;
 font-size: 15px;
 text-rendering: auto;
 -webkit-font-smoothing: antialiased;
 -moz-osx-font-smoothing: grayscale;
 content: "\f10c";
 vertical-align: middle;
 position: static;
 display: inherit;
}
.item_buttons .running-indicator {
 padding-top: 4px;
 color: #48a667;
 font-family: sans-serif;
 text-rendering: auto;
 -webkit-font-smoothing: antialiased;
}
#notification_trusted {
 font-family: sans-serif;
 border: none;
 background: transparent;
 background-color: transparent;
 margin-bottom: 0px !important;
 vertical-align: bottom !important;
 color: #546379 !important;
 cursor: default !important;
}
#notification_area,
div.notification_area {
 float: right !important;
 position: static;
 cursor: pointer;
 padding-top: 6px;
 padding-right: 4px;
}
div#notification_notebook.notification_widget.btn.btn-xs.navbar-btn {
 font-size: 9pt !important;
 z-index: 0;
 margin-top: -5px !important;
}
#modal_indicator {
 float: right !important;
 color: #4c8be2;
 background: #262931;
 background-color: #262931;
 margin-top: 8px !important;
 margin-left: 0px;
}
#kernel_indicator {
 float: right !important;
 color: #4c8be2;
 background: #262931;
 background-color: #262931;
 border-left: 2px solid #4c8be2;
 padding-top: 0px;
 padding-bottom: 4px;
 margin-top: 10px !important;
 margin-left: -2px;
 padding-left: 5px !important;
}
#kernel_indicator .kernel_indicator_name {
 font-size: 17px;
 color: #4c8be2;
 background: #262931;
 background-color: #262931;
 padding-left: 5px;
 padding-right: 5px;
 margin-top: 4px;
 vertical-align: text-top;
 padding-bottom: 0px;
}
.kernel_idle_icon:before {
 display: inline-block;
 font: normal normal normal 22px/1 FontAwesome;
 font-size: 22px;
 text-rendering: auto;
 -webkit-font-smoothing: antialiased;
 cursor: pointer;
 margin-left: 0px !important;
 opacity: 0.7;
 vertical-align: bottom;
 margin-top: 1px;
 content: "\f1db";
}
.kernel_busy_icon:before {
 display: inline-block;
 font: normal normal normal 22px/1 FontAwesome;
 font-size: 22px;
 -webkit-animation: pulsate 2s infinite ease-out;
 animation: pulsate 2s infinite ease-out;
 text-rendering: auto;
 -webkit-font-smoothing: antialiased;
 cursor: pointer;
 margin-left: 0px !important;
 vertical-align: bottom;
 margin-top: 1px;
 content: "\f111";
}
@-webkit-keyframes pulsate {
 0% {
  -webkit-transform: scale(1.0,1.0);
  opacity: 0.8;
 }
 8% {
  -webkit-transform: scale(1.0,1.0);
  opacity: 0.8;
 }
 50% {
  -webkit-transform: scale(0.75,0.75);
  opacity: 0.3;
 }
 92% {
  -webkit-transform: scale(1.0,1.0);
  opacity: 0.8;
 }
 100% {
  -webkit-transform: scale(1.0,1.0);
  opacity: 0.8;
 }
}
div.notification_widget.info,
.notification_widget.info,
.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,
div#notification_notebook.notification_widget.btn.btn-xs.navbar-btn,
div#notification_notebook.notification_widget.btn.btn-xs.navbar-btn:hover,
div#notification_notebook.notification_widget.btn.btn-xs.navbar-btn:focus {
 color: #899ab8;
 background-color: #262931;
 border-color: #262931;
}
#notification_area,
div.notification_area {
 float: right !important;
 position: static;
}
.notification_widget,
div.notification_widget {
 margin-right: 0px;
 margin-left: 0px;
 padding-right: 0px;
 vertical-align: text-top !important;
 margin-top: 6px !important;
 z-index: 1000;
}
#kernel_logo_widget,
#kernel_logo_widget .current_kernel_logo {
 display: none;
}
div#ipython_notebook {
 display: none;
}
i.fa.fa-icon {
 -webkit-font-smoothing: antialiased;
 -moz-osx-font-smoothing: grayscale;
 text-rendering: auto;
}
.fa {
 display: inline-block;
 font: normal normal normal 10pt/1 "FontAwesome", sans-serif;
 text-rendering: auto;
 -webkit-font-smoothing: antialiased;
 -moz-osx-font-smoothing: grayscale;
}
.dropdown-menu {
 font-family: sans-serif;
 font-size: 13pt;
 box-shadow: none;
 padding: 0px;
 text-align: left;
 border: none;
 background-color: #384251;
 background: #384251;
 line-height: 1;
}
.dropdown-menu:hover {
 font-family: sans-serif;
 font-size: 13pt;
 box-shadow: none;
 padding: 0px;
 text-align: left;
 border: none;
 background-color: #384251;
 box-shadow: none;
 line-height: 1;
}
.dropdown-menu > li > a {
 font-family: sans-serif;
 font-size: 12.0pt;
 display: block;
 padding: 10px 20px 9px 10px;
 color: #a2b0c7;
 background-color: #384251;
 background: #384251;
}
.dropdown-menu > li > a:hover,
.dropdown-menu > li > a:focus {
 color: #d8dcee;
 background-color: #343d4b;
 background: #343d4b;
 border-color: #343d4b;
 transition: 200ms ease;
}
.dropdown-menu .divider {
 height: 1px;
 margin: 0px 0px;
 overflow: hidden;
 background-color: rgba(80,92,133,.45);
}
.dropdown-submenu > .dropdown-menu {
 display: none;
 top: 2px !important;
 left: 100%;
 margin-top: -2px;
 margin-left: 0px;
 padding-top: 0px;
 transition: 200ms ease;
}
.dropdown-menu > .disabled > a,
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
 font-family: sans-serif;
 font-size: 12.0pt;
 font-weight: normal;
 color: #546379;
 padding: none;
 display: block;
 clear: both;
 white-space: nowrap;
}
.dropdown-submenu > a:after {
 color: #a2b0c7;
 margin-right: -16px;
 margin-top: 0px;
 display: inline-block;
}
.dropdown-submenu:hover > a:after,
.dropdown-submenu:active > a:after,
.dropdown-submenu:focus > a:after,
.dropdown-submenu:visited > a:after {
 color: #4c8be2;
 margin-right: -16px;
 display: inline-block !important;
}
div.kse-dropdown > .dropdown-menu,
.kse-dropdown > .dropdown-menu {
 min-width: 0;
 top: 94%;
}
.btn,
.btn-default {
 font-family: sans-serif;
 color: #a2b0c7;
 background: #3a4452;
 background-color: #3a4452;
 border: 2px solid #3a4452;
 font-weight: normal;
 box-shadow: none;
 text-shadow: none;
 border-radius: 3px;
 font-size: initial;
}
.btn:hover,
.btn:active:hover,
.btn.active:hover,
.btn-default:hover,
.open > .dropdown-toggle.btn-default:hover,
.open > .dropdown-toggle.btn:hover {
 color: #4c8be2;
 border: 2px solid #363f4c;
 background-color: #363f4c;
 background: #363f4c;
 background-image: none;
 box-shadow: none !important;
 border-radius: 3px;
}
.btn:active,
.btn.active,
.btn:active:focus,
.btn.active:focus,
.btn:active.focus,
.btn.active.focus,
.btn-default:focus,
.btn-default.focus,
.btn-default:active,
.btn-default.active,
.btn-default:active:hover,
.btn-default.active:hover,
.btn-default:active:focus,
.btn-default.active:focus,
.btn-default:active.focus,
.btn-default.active.focus,
.open > .dropdown-toggle.btn:focus,
.open > .dropdown-toggle.btn.focus,
.open > .dropdown-toggle.btn-default:hover,
.open > .dropdown-toggle.btn-default:focus,
.open > .dropdown-toggle.btn-default.hover,
.open > .dropdown-toggle.btn-default.focus {
 color: #4c8be2;
 border: 2px solid #363f4c;
 background-color: #363f4c !important;
 background: #363f4c !important;
 background-image: none;
 box-shadow: none !important;
 border-radius: 3px;
}
.btn-default:active:hover,
.btn-default.active:hover,
.btn-default:active:focus,
.btn-default.active:focus,
.btn-default:active.focus,
.btn-default.active.focus {
 color: #157bff !important;
 background-color: #3a4452;
 border-color: #33517c !important;
 transition: 2000ms ease;
}
.btn:focus,
.btn.focus,
.btn:active:focus,
.btn.active:focus,
.btn:active,
.btn.active,
.btn:active.focus,
.btn.active.focus {
 color: #157bff !important;
 outline: none !important;
 outline-width: 0px !important;
 background: #33517c !important;
 background-color: #33517c !important;
 border-color: #33517c !important;
 transition: 200ms ease !important;
}
.item_buttons > .btn,
.item_buttons > .btn-group,
.item_buttons > .input-group {
 font-size: 13pt;
 background: transparent;
 background-color: transparent;
 border: 0px solid #2e3642;
 border-bottom: 2px solid transparent;
 margin-left: 5px;
 padding-top: 4px !important;
}
.item_buttons > .btn:hover,
.item_buttons > .btn-group:hover,
.item_buttons > .input-group:hover,
.item_buttons > .btn.active,
.item_buttons > .btn-group.active,
.item_buttons > .input-group.active,
.item_buttons > .btn.focus {
 margin-left: 5px;
 background: #2a313c;
 padding-top: 4px !important;
 background-color: transparent;
 border: 0px solid transparent;
 border-bottom: 2px solid #4c8be2;
 border-radius: 0px;
 transition: none;
}
.item_buttons {
 line-height: 1.5em !important;
}
.item_buttons .btn {
 min-width: 11ex;
}
.btn-group > .btn:first-child {
 margin-left: 3px;
}
.btn-group > .btn-mini,
.btn-sm,
.btn-group-sm > .btn,
.btn-xs,
.btn-group-xs > .btn,
.alternate_upload .btn-upload,
.btn-group,
.btn-group-vertical {
 font-size: inherit;
 font-weight: normal;
 height: inherit;
 line-height: inherit;
}
.btn-xs,
.btn-group-xs > .btn {
 font-size: initial !important;
 background-image: none;
 font-weight: normal;
 text-shadow: none;
 display: inline-table;
 padding: 2px 5px;
 line-height: 1.45;
}
.btn-group > .btn:first-child {
 margin-left: 3px;
}
div#new-buttons > button,
#new-buttons > button,
div#refresh_notebook_list,
#refresh_notebook_list {
 background: transparent;
 background-color: transparent;
 border: none;
}
div#new-buttons > button:hover,
#new-buttons > button:hover,
div#refresh_notebook_list,
#refresh_notebook_list,
div.alternate_upload .btn-upload,
.alternate_upload .btn-upload,
div.dynamic-buttons > button,
.dynamic-buttons > button,
.dynamic-buttons > button:focus,
.dynamic-buttons > button:active:focus,
.dynamic-buttons > button.active:focus,
.dynamic-buttons > button.focus,
.dynamic-buttons > button:active.focus,
.dynamic-buttons > button.active.focus,
#new-buttons > button:focus,
#new-buttons > button:active:focus,
#new-buttons > button.active:focus,
#new-buttons > button.focus,
#new-buttons > button:active.focus,
#new-buttons > button.active.focus,
.alternate_upload .btn-upload:focus,
.alternate_upload .btn-upload:active:focus,
.alternate_upload .btn-upload.active:focus,
.alternate_upload .btn-upload.focus,
.alternate_upload .btn-upload:active.focus,
.alternate_upload .btn-upload.active.focus {
 background: transparent !important;
 background-color: transparent !important;
 border: none !important;
}
.alternate_upload input.fileinput {
 text-align: center;
 vertical-align: bottom;
 margin-left: -.5ex;
 display: inline-table;
 border: solid 0px #3a4452;
 margin-bottom: -1ex;
}
.alternate_upload .btn-upload {
 display: inline-table;
 background: transparent;
 border: none;
}
.btn-group .btn + .btn,
.btn-group .btn + .btn-group,
.btn-group .btn-group + .btn,
.btn-group .btn-group + .btn-group {
 margin-left: -2px;
}
.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {
 border-bottom-right-radius: 0;
 border-top-right-radius: 0;
 z-index: 2;
}
.dropdown-header {
 font-family: sans-serif !important;
 font-size: 13pt !important;
 color: #4c8be2 !important;
 border-bottom: none !important;
 padding: 0px !important;
 margin: 6px 6px 0px !important;
}
span#last-modified.btn.btn-xs.btn-default.sort-action,
span#sort-name.btn.btn-xs.btn-default.sort-action,
span#file-size.btn.btn-xs.btn-default.sort-action {
 font-family: sans-serif;
 font-size: 16px;
 background-color: transparent;
 background: transparent;
 border: none;
 color: #a2b0c7;
 padding-bottom: 0px;
 margin-bottom: 0px;
 vertical-align: sub;
}
span#last-modified.btn.btn-xs.btn-default.sort-action {
 margin-left: 19px;
}
button.close {
 border: 0px none;
 font-family: sans-serif;
 font-size: 20pt;
 font-weight: normal;
}
.dynamic-buttons {
 padding-top: 0px;
 display: inline-block;
}
.close {
 color: #dc6972;
 opacity: .5;
 text-shadow: none;
 font-weight: normal;
}
.close:hover {
 color: #dc6972;
 opacity: 1;
 font-weight: normal;
}
div.nbext-enable-btns .btn[disabled],
div.nbext-enable-btns .btn[disabled]:hover,
.btn-default.disabled,
.btn-default[disabled],
.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 {
 color: #92a2bd;
 background: #38424f;
 background-color: #38424f;
 border-color: #38424f;
 transition: 200ms ease;
}
.input-group-addon {
 padding: 2px 5px;
 font-size: 13pt;
 font-weight: normal;
 height: auto;
 color: #a2b0c7;
 text-align: center;
 background-color: transparent;
 border: 2px solid transparent !important;
 text-transform: capitalize;
}
a.btn.btn-default.input-group-addon:hover {
 background: transparent !important;
 background-color: transparent !important;
}
.btn-group > .btn + .dropdown-toggle {
 padding-left: 8px;
 padding-right: 8px;
 height: 100%;
}
.btn-group > .btn + .dropdown-toggle:hover {
 background: #363f4c !important;
}
.input-group-btn {
 position: relative;
 font-size: inherit;
 white-space: nowrap;
 background: #2e3642;
 background-color: #2e3642;
 border: none;
}
.input-group-btn:hover {
 background: #2a313c;
 background-color: #2a313c;
 border: none;
}
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group {
 background: #2e3642;
 background-color: #2e3642;
 border: none;
 margin-left: 2px;
 margin-right: -1px;
 font-size: inherit;
}
.input-group-btn:first-child > .btn:hover,
.input-group-btn:first-child > .btn-group:hover {
 background: #363f4c;
 background-color: #363f4c;
 border: none;
 font-size: inherit;
 transition: 200ms ease;
}
div.modal .btn-group > .btn:first-child {
 background: #2e3642;
 background-color: #2e3642;
 border: 1px solid #2c343f;
 margin-top: 0px !important;
 margin-left: 0px;
 margin-bottom: 2px;
}
div.modal .btn-group > .btn:first-child:hover {
 background: #2a313c;
 background-color: #2a313c;
 border: 1px solid #2a313c;
 transition: 200ms ease;
}
div.modal > button,
div.modal-footer > button {
 background: #2e3642;
 background-color: #2e3642;
 border-color: #2e3642;
}
div.modal > button:hover,
div.modal-footer > button:hover {
 background: #2a313c;
 background-color: #2a313c;
 border-color: #2a313c;
 transition: 200ms ease;
}
.modal-content {
 font-family: sans-serif;
 font-size: 12.0pt;
 position: relative;
 background: #2e3642;
 background-color: #2e3642;
 border: none;
 border-radius: 1px;
 background-clip: padding-box;
 outline: none;
}
.modal-header {
 font-family: sans-serif;
 font-size: 13pt;
 color: #a2b0c7;
 background: #2e3642;
 background-color: #2e3642;
 border-color: rgba(80,92,133,.22);
 padding: 12px;
 min-height: 16.4286px;
}
.modal-content h4 {
 font-family: sans-serif;
 font-size: 16pt;
 color: #a2b0c7;
 padding: 5px;
}
.modal-body {
 background-color: #384152;
 position: relative;
 padding: 15px;
}
.modal-footer {
 padding: 8px;
 text-align: right;
 background-color: #384152;
 border-top: none;
}
.alert-info {
 background-color: #4a5467;
 border-color: rgba(80,92,133,.22);
 color: #a2b0c7;
}
.modal-header .close {
 margin-top: -5px;
 font-size: 25pt;
}
.modal-backdrop,
.modal-backdrop.in {
 opacity: 0.85;
 background-color: notebook-bg;
}
div.panel,
div.panel-default,
.panel,
.panel-default {
 font-family: sans-serif;
 font-size: 13pt;
 background-color: #384152;
 color: #a2b0c7;
 margin-bottom: 14px;
 border: 0;
 box-shadow: none;
}
div.panel > .panel-heading,
div.panel-default > .panel-heading {
 font-size: 14pt;
 color: #a2b0c7;
 background: #2e3642;
 background-color: #2e3642;
 border: 0;
}
.modal .modal-dialog {
 min-width: 950px;
 margin: 50px auto;
}
div.container-fluid {
 margin-right: auto;
 margin-left: auto;
 padding-left: 0px;
 padding-right: 5px;
}
div.form-control,
.form-control {
 font-family: sans-serif;
 font-size: initial;
 color: #a2b0c7;
 background-color: #2a313c;
 border: 1px solid #2a313c !important;
 margin-left: 2px;
 box-shadow: none;
 transition: border-color 0.15s ease-in-out 0s, box-shadow 0.15s ease-in-out 0s;
}
.form-control-static {
 min-height: inherit;
 height: inherit;
}
.form-group.list-group-item {
 color: #a2b0c7;
 background-color: #384152;
 border-color: rgba(80,92,133,.22);
 margin-bottom: 0px;
}
.form-group .input-group {
 float: left;
}
input,
button,
select,
textarea {
 background-color: #2a313c;
 font-weight: normal;
 border: 1px solid rgba(80,92,133,.22);
}
select.form-control.select-xs {
 height: 33px;
 font-size: 13pt;
}
.toolbar select,
.toolbar label {
 width: auto;
 vertical-align: middle;
 margin-right: 0px;
 margin-bottom: 0px;
 display: inline;
 font-size: 92%;
 margin-left: 10px;
 padding: 0px;
 background: #3a4452 !important;
 background-color: #3a4452 !important;
 border: 2px solid #3a4452 !important;
}
.form-control:focus {
 border-color: #4c8be2;
 outline: 2px solid #3572c6;
 -webkit-box-shadow: none;
}
::-webkit-input-placeholder {
 color: #546379;
}
::-moz-placeholder {
 color: #546379;
}
:-ms-input-placeholder {
 color: #546379;
}
:-moz-placeholder {
 color: #546379;
}
[dir="ltr"] #find-and-replace .input-group-btn + .form-control {
 border: 2px solid rgba(80,92,133,.22) !important;
}
[dir="ltr"] #find-and-replace .input-group-btn + .form-control:focus {
 border-color: #4c8be2;
 outline: 2px solid #3572c6;
 -webkit-box-shadow: none;
 box-shadow: none;
}
div.output.output_scroll {
 box-shadow: none;
}
::-webkit-scrollbar {
 width: 11px;
 max-height: 9px;
 background-color: #292d3a;
 border-radius: 3px;
 border: none;
}
::-webkit-scrollbar-track {
 background: #292d3a;
 border: none;
 width: 11px;
 max-height: 9px;
}
::-webkit-scrollbar-thumb {
 border-radius: 2px;
 border: none;
 background: #3f4555;
 background-clip: content-box;
 width: 11px;
}
HTML,
body,
div,
dl,
dt,
dd,
ul,
ol,
li,
h1,
h2,
h3,
h4,
h5,
h6,
pre,
code,
form,
fieldset,
legend,
input,
button,
textarea,
p,
blockquote,
th,
td,
span,
a {
 text-rendering: geometricPrecision;
 -webkit-font-smoothing: subpixel-antialiased;
 font-weight: 400;
}
div.input_area {
 background-color: #303845;
 background: #303845;
 padding-right: 1.2em;
 border: 0px;
 border-radius: 0px;
 border-top-right-radius: 4px;
 border-bottom-right-radius: 4px;
}
div.cell {
 padding: 0px;
 background: #303845;
 background-color: #303845;
 border: medium solid #262931;
 border-radius: 4px;
 top: 0;
}
div.cell.selected {
 background: #303845;
 background-color: #303845;
 border: medium solid #262931;
 padding: 0px;
 border-radius: 5px;
}
.edit_mode div.cell.selected {
 padding: 0px;
 background: #303845;
 background-color: #303845;
 border: medium solid #262931;
 border-radius: 5px;
}
div.cell.edit_mode {
 padding: 0px;
 background: #303845;
 background-color: #303845;
}
div.CodeMirror-sizer {
 margin-left: 0px;
 margin-bottom: -21px;
 border-right-width: 16px;
 min-height: 37px;
 padding-right: 0px;
 padding-bottom: 0px;
 margin-top: 0px;
}
div.cell.selected:before,
.edit_mode div.cell.selected:before,
div.cell.selected:before,
div.cell.selected.jupyter-soft-selected:before {
 background: #303845 !important;
 border: none;
 border-radius: 3px;
 position: absolute;
 display: block;
 top: 0px;
 left: 0px;
 width: 0px;
 height: 100%;
}
div.cell.text_cell.selected::before,
.edit_mode div.cell.text_cell.selected:before,
div.cell.text_cell.selected:before,
div.cell.text_cell.selected.jupyter-soft-selected:before {
 background: #303845 !important;
 background-color: #303845 !important;
 border-color: #2769c3 !important;
}
div.cell.code_cell .input {
 border-left: 5px solid #303845 !important;
 border-radius: 3px;
 border-bottom-left-radius: 3px;
 border-top-left-radius: 3px;
}
div.cell.code_cell.selected .input {
 border-left: 5px solid #2769c3 !important;
 border-radius: 3px;
}
.edit_mode div.cell.code_cell.selected .input {
 border-left: 5px solid #33517c !important;
 border-radius: 3px;
}
.edit_mode div.cell.selected:before {
 height: 100%;
 border-left: 5px solid #33517c !important;
 border-radius: 3px;
}
div.cell.jupyter-soft-selected,
div.cell.selected.jupyter-soft-selected {
 border-left-color: #33517c !important;
 border-left-width: 0px !important;
 padding-left: 7px !important;
 border-right-color: #33517c !important;
 border-right-width: 0px !important;
 background: #33517c !important;
 border-radius: 6px !important;
}
div.cell.selected.jupyter-soft-selected .input {
 border-left: 5px solid #303845 !important;
}
div.cell.selected.jupyter-soft-selected {
 border-left-color: #2769c3;
 border-color: #262931;
 padding-left: 7px;
 border-radius: 6px;
}
div.cell.code_cell.selected .input {
 border-left: none;
 border-radius: 3px;
}
div.cell.selected.jupyter-soft-selected .prompt,
div.cell.text_cell.selected.jupyter-soft-selected .prompt {
 top: 0;
 border-left: #303845 !important;
 border-radius: 2px;
}
div.cell.text_cell.selected.jupyter-soft-selected .input_prompt {
 border-left: none !important;
}
div.cell.text_cell.jupyter-soft-selected,
div.cell.text_cell.selected.jupyter-soft-selected {
 border-left-color: #33517c !important;
 border-left-width: 0px !important;
 padding-left: 26px !important;
 border-right-color: #33517c !important;
 border-right-width: 0px !important;
 background: #33517c !important;
 border-radius: 5px !important;
}
div.cell.jupyter-soft-selected .input,
div.cell.selected.jupyter-soft-selected .input {
 border-left-color: #33517c !important;
}
div.prompt,
.prompt {
 font-family: monospace, monospace;
 font-size: 9pt !important;
 font-weight: normal;
 color: #446489;
 line-height: 170%;
 padding: 0px;
 padding-top: 4px;
 padding-left: 0px;
 padding-right: 1px;
 text-align: right !important;
 min-width: 11.5ex !important;
 width: 11.5ex !important;
}
div.prompt.input_prompt {
 font-size: 9pt !important;
 background-color: #303845;
 border-top: 0px;
 border-top-right-radius: 0px;
 border-bottom-left-radius: 0px;
 border-bottom-right-radius: 0px;
 padding-right: 3px;
 min-width: 11.5ex;
 width: 11.5ex !important;
}
div.cell.code_cell .input_prompt {
 border-right: 2px solid #3572c6;
}
div.cell.selected .prompt {
 top: 0;
}
.edit_mode div.cell.selected .prompt {
 top: 0;
}
.edit_mode div.cell.selected .prompt {
 top: 0;
}
.run_this_cell {
 visibility: hidden;
 color: transparent;
 padding-top: 0px;
 padding-bottom: 0px;
 padding-left: 3px;
 padding-right: 12px;
 width: 1.5ex;
 width: 0ex;
 background: transparent;
 background-color: transparent;
}
div.code_cell:hover div.input .run_this_cell {
 visibility: visible;
}
div.cell.code_cell.rendered.selected .run_this_cell:hover {
 background-color: #282e39;
 background: #282e39;
 color: #2769c3 !important;
}
div.cell.code_cell.rendered.unselected .run_this_cell:hover {
 background-color: #282e39;
 background: #282e39;
 color: #2769c3 !important;
}
i.fa-step-forward.fa {
 display: inline-block;
 font: normal normal normal 9px "FontAwesome";
}
.fa-step-forward:before {
 content: "\f04b";
}
div.cell.selected.jupyter-soft-selected .run_this_cell,
div.cell.selected.jupyter-soft-selected .run_this_cell:hover,
div.cell.unselected.jupyter-soft-selected .run_this_cell:hover,
div.cell.code_cell.rendered.selected.jupyter-soft-selected .run_this_cell:hover,
div.cell.code_cell.rendered.unselected.jupyter-soft-selected .run_this_cell:hover {
 background-color: #33517c !important;
 background: #33517c !important;
 color: #33517c !important;
}
div.output_wrapper {
 background-color: #384151;
 border: 0px;
 left: 0px;
 margin-bottom: 0em;
 margin-top: 0em;
 border-top-right-radius: 0px;
 border-top-left-radius: 0px;
}
div.output_subarea.output_text.output_stream.output_stdout,
div.output_subarea.output_text {
 font-family: monospace, monospace;
 font-size: 8.5pt !important;
 line-height: 150% !important;
 background-color: #384151;
 color: #cdd2e9;
 border-top-right-radius: 0px;
 border-top-left-radius: 0px;
 margin-left: 11.5px;
}
div.output_area pre {
 font-family: monospace, monospace;
 font-size: 8.5pt !important;
 line-height: 151% !important;
 color: #cdd2e9;
 border-top-right-radius: 0px;
 border-top-left-radius: 0px;
}
div.output_area {
 display: -webkit-box;
}
div.output_html {
 font-family: monospace, monospace;
 font-size: 8.5pt;
 color: #dbdfef;
 background-color: #384151;
 background: #384151;
}
div.output_subarea {
 overflow-x: auto;
 padding: 1.2em !important;
 -webkit-box-flex: 1;
 -moz-box-flex: 1;
 box-flex: 1;
 flex: 1;
}
div.btn.btn-default.output_collapsed {
 background: #242a33;
 background-color: #242a33;
 border-color: #242a33;
}
div.btn.btn-default.output_collapsed:hover {
 background: #1f252d;
 background-color: #1f252d;
 border-color: #1f252d;
}
div.prompt.output_prompt {
 font-family: monospace, monospace;
 font-weight: bold !important;
 background-color: #384151;
 color: transparent;
 border-bottom-left-radius: 4px;
 border-top-right-radius: 0px;
 border-top-left-radius: 0px;
 border-bottom-right-radius: 0px;
 min-width: 11.5ex !important;
 width: 11.5ex !important;
 border-right: 2px solid transparent;
}
div.out_prompt_overlay.prompt {
 font-family: monospace, monospace;
 font-weight: bold !important;
 background-color: #384151;
 border-bottom-left-radius: 2px;
 border-top-right-radius: 0px;
 border-top-left-radius: 0px;
 border-bottom-right-radius: 0px;
 min-width: 11.5ex !important;
 width: 11.5ex !important;
 border-right: 2px solid transparent;
 color: transparent;
}
div.out_prompt_overlay.prompt:hover {
 background-color: #3e4458;
 box-shadow: none !important;
 border: none;
 border-bottom-left-radius: 2px;
 -webkit-border-: 2px;
 -moz-border-radius: 2px;
 border-top-right-radius: 0px;
 border-top-left-radius: 0px;
 min-width: 11.5ex !important;
 width: 11.5ex !important;
 border-right: 2px solid #3e4458 !important;
}
div.cell.code_cell .output_prompt {
 border-right: 2px solid transparent;
 color: transparent;
}
div.cell.selected .output_prompt,
div.cell.selected .out_prompt_overlay.prompt {
 border-left: 5px solid #33517c;
 border-right: 2px solid #384151;
 border-radius: 0px !important;
}
.edit_mode div.cell.selected .output_prompt,
.edit_mode div.cell.selected .out_prompt_overlay.prompt {
 border-left: 5px solid #33517c;
 border-right: 2px solid #384151;
 border-radius: 0px !important;
}
div.text_cell,
div.text_cell_render pre,
div.text_cell_render {
 font-family: sans-serif;
 font-size: 13pt;
 line-height: 130% !important;
 color: #abc1e2;
 background: #303845;
 background-color: #303845;
 border-radius: 0px;
}
div .text_cell_render {
 padding: 0.4em 0.4em 0.4em 0.4em;
}
div.cell.text_cell .CodeMirror-lines {
 padding-top: .7em !important;
 padding-bottom: .4em !important;
 padding-left: .5em !important;
 padding-right: .5em !important;
 margin-top: .4em;
 margin-bottom: .3em;
}
div.cell.text_cell.unrendered div.input_area,
div.cell.text_cell.rendered div.input_area {
 background-color: #303845;
 background: #303845;
 border: 0px;
 border-radius: 2px;
}
div.cell.text_cell .CodeMirror,
div.cell.text_cell .CodeMirror pre {
 line-height: 170% !important;
}
div.cell.text_cell.rendered.selected {
 font-family: sans-serif;
 line-height: 170% !important;
 background: #303845;
 background-color: #303845;
 border-radius: 0px;
}
div.cell.text_cell.unrendered.selected {
 font-family: sans-serif;
 line-height: 170% !important;
 background: #303845;
 background-color: #303845;
 border-radius: 0px;
}
div.cell.text_cell.selected {
 font-family: sans-serif;
 line-height: 170% !important;
 background: #303845;
 background-color: #303845;
 border-radius: 0px;
}
.edit_mode div.cell.text_cell.selected {
 font-family: sans-serif;
 line-height: 170% !important;
 background: #303845;
 background-color: #303845;
 border-radius: 0px;
}
div.text_cell.unrendered,
div.text_cell.unrendered.selected,
div.edit_mode div.text_cell.unrendered {
 font-family: sans-serif;
 line-height: 170% !important;
 background: #303845;
 background-color: #303845;
 border-radius: 0px;
}
div.cell.text_cell .prompt {
 border-right: 0;
 min-width: 11.5ex !important;
 width: 11.5ex !important;
}
div.cell.text_cell.rendered .prompt {
 font-family: monospace, monospace;
 font-size: 9.5pt !important;
 font-weight: normal;
 color: #446489 !important;
 text-align: right !important;
 min-width: 14.5ex !important;
 width: 14.5ex !important;
 background-color: #303845;
 border-right: 2px solid rgba(53,114,198,.5);
 border-left: 4px solid #303845;
}
div.cell.text_cell.unrendered .prompt {
 font-family: monospace, monospace;
 font-size: 9.5pt !important;
 font-weight: normal;
 color: #446489 !important;
 text-align: right !important;
 min-width: 14.5ex !important;
 width: 14.5ex !important;
 border-right: 2px solid rgba(53,114,198,.5);
 border-left: 4px solid #303845;
 background-color: #303845;
}
div.cell.text_cell.rendered .prompt {
 border-right: 2px solid rgba(53,114,198,.5);
}
div.cell.text_cell.rendered.selected .prompt {
 top: 0;
 border-left: 4px solid #2769c3;
 border-right: 2px solid rgba(53,114,198,.5);
}
div.text_cell.unrendered.selected .prompt,
div.text_cell.rendered.selected .prompt {
 top: 0;
 background: #303845;
 border-left: 4px solid #33517c;
 border-right: 2px solid rgba(53,114,198,.5);
}
div.rendered_html code {
 font-family: monospace, monospace;
 font-size: 11pt;
 padding-top: 3px;
 padding-left: 2px;
 color: #cdd2e9;
 background: #2a313c;
 background-color: #2a313c;
}
pre,
code,
kbd,
samp {
 white-space: pre-wrap;
}
.well code,
code {
 font-family: monospace, monospace;
 font-size: 11pt !important;
 line-height: 170% !important;
 color: #abc1e2;
 background: #2a313c;
 background-color: #2a313c;
 border-color: #2a313c;
}
kbd {
 padding: 1px;
 font-size: 11pt;
 font-weight: 800;
 color: #cdd2e9;
 background-color: transparent !important;
 border: 0;
 box-shadow: none;
}
pre {
 display: block;
 padding: 8.5px;
 margin: 0 0 9px;
 font-size: 12.0pt;
 line-height: 1.42857143;
 color: #cdd2e9;
 background-color: #2a313c;
 border: 1px solid #2a313c;
 border-radius: 2px;
}
div.rendered_html {
 color: #abc1e2;
}
.rendered_html * + ul {
 margin-top: .4em;
 margin-bottom: .3em;
}
.rendered_html * + p {
 margin-top: .5em;
 margin-bottom: .5em;
}
div.rendered_html pre {
 font-family: monospace, monospace;
 font-size: 11pt !important;
 line-height: 170% !important;
 color: #abc1e2 !important;
 background: #2a313c;
 background-color: #2a313c;
 max-width: 80%;
 border-radius: 0px;
 border-left: 3px solid #2a313c;
 max-width: 80%;
 border-radius: 0px;
 padding-left: 5px;
 margin-left: 6px;
}
div.text_cell_render pre,
div.text_cell_render code {
 font-family: monospace, monospace;
 font-size: 11pt !important;
 line-height: 170% !important;
 color: #abc1e2;
 background: #262931;
 background-color: #262931;
 max-width: 80%;
 border-radius: 0px;
 border-left: none;
}
div.text_cell_render pre {
 border-left: 3px solid #3572c6 !important;
 max-width: 80%;
 border-radius: 0px;
 padding-left: 5px;
 margin-left: 6px;
}
div.text_cell_render h1,
div.rendered_html h1,
div.text_cell_render h2,
div.rendered_html h2,
div.text_cell_render h3,
div.rendered_html h3,
div.text_cell_render h4,
div.rendered_html h4,
div.text_cell_render h5,
div.rendered_html h5 {
 font-family: sans-serif;
 margin: 0.4em .2em .3em .2em !important;
}
.rendered_html h1:first-child,
.rendered_html h2:first-child,
.rendered_html h3:first-child,
.rendered_html h4:first-child,
.rendered_html h5:first-child,
.rendered_html h6:first-child {
 margin-top: 0.2em !important;
 margin-bottom: 0.2em !important;
}
.rendered_html h1,
.text_cell_render h1 {
 color: #4c8be2 !important;
 font-size: 200%;
 text-align: left;
 font-style: normal;
 font-weight: normal;
}
.rendered_html h2,
.text_cell_render h2 {
 color: #4c8be2 !important;
 font-size: 170%;
 font-style: normal;
 font-weight: normal;
}
.rendered_html h3,
.text_cell_render h3 {
 color: #4c8be2 !important;
 font-size: 140%;
 font-style: normal;
 font-weight: normal;
}
.rendered_html h4,
.text_cell_render h4 {
 color: #4c8be2 !important;
 font-size: 110%;
 font-style: normal;
 font-weight: normal;
}
.rendered_html h5,
.text_cell_render h5 {
 color: #4c8be2 !important;
 font-size: 100%;
 font-style: normal;
 font-weight: normal;
}
hr {
 margin-top: 8px;
 margin-bottom: 10px;
 border: 0;
 border-top: 1px solid #4c8be2;
}
.rendered_html hr {
 color: #4c8be2;
 background-color: #4c8be2;
 margin-right: 2em;
}
#complete > select > option:hover {
 background: #343d4b;
 background-color: #343d4b;
}
div#_vivaldi-spatnav-focus-indicator._vivaldi-spatnav-focus-indicator {
 position: absolute;
 z-index: 9999999999;
 top: 0px;
 left: 0px;
 box-shadow: none;
 pointer-events: none;
 border-radius: 2px;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
 text-align: left;
 vertical-align: middle;
 padding: 0.42em 0.47em;
 line-height: normal;
 white-space: normal;
 max-width: none;
 border: none;
}
.rendered_html td {
 font-family: sans-serif !important;
 font-size: 9.3pt;
}
.rendered_html table {
 font-family: sans-serif !important;
 margin-left: 8px;
 margin-right: auto;
 border: none;
 border-collapse: collapse;
 border-spacing: 0;
 color: #dbdfef;
 table-layout: fixed;
}
.rendered_html thead {
 font-family: sans-serif !important;
 font-size: 10.3pt !important;
 background: #2e3642;
 color: #d4d8ec;
 border-bottom: 1px solid #2e3642;
 vertical-align: bottom;
}
.rendered_html tbody tr:nth-child(odd) {
 background: #434d61;
}
.rendered_html tbody tr {
 background: #3d4658;
}
.rendered_html tbody tr:hover:nth-child(odd) {
 background: #414b5e;
}
.rendered_html tbody tr:hover {
 background: #3b4355;
}
.rendered_html * + table {
 margin-top: .05em;
}
div.widget-area {
 background-color: #384151;
 background: #384151;
 color: #cdd2e9;
}
div.widget-area a {
 font-family: sans-serif;
 font-size: 12.0pt;
 font-weight: normal;
 font-style: normal;
 color: #a2b0c7;
 text-shadow: none !important;
}
div.widget-area a:hover,
div.widget-area a:focus {
 font-family: sans-serif;
 font-size: 12.0pt;
 font-weight: normal;
 font-style: normal;
 color: #d8dcee;
 background: rgba(80,92,133,.22);
 background-color: rgba(80,92,133,.22);
 border-color: transparent;
 background-image: none;
 text-shadow: none !important;
}
div.widget_item.btn-group > button.btn.btn-default.widget-combo-btn,
div.widget_item.btn-group > button.btn.btn-default.widget-combo-btn:hover {
 background: #2c343f;
 background-color: #2c343f;
 border: 2px solid #2c343f !important;
 font-size: inherit;
 z-index: 0;
}
div.jupyter-widgets.widget-hprogress.widget-hbox {
 display: inline-table !important;
 width: 38% !important;
 margin-left: 10px;
}
div.jupyter-widgets.widget-hprogress.widget-hbox .widget-label,
div.widget-hbox .widget-label,
.widget-hbox .widget-label,
.widget-inline-hbox .widget-label,
div.widget-label {
 text-align: -webkit-auto !important;
 margin-left: 15px !important;
 max-width: 240px !important;
 min-width: 100px !important;
 vertical-align: text-top !important;
 color: #cdd2e9 !important;
 font-size: 14px !important;
}
.widget-hprogress .progress {
 flex-grow: 1;
 height: 20px;
 margin-top: auto;
 margin-left: 12px;
 margin-bottom: auto;
 width: 300px;
}
.progress {
 overflow: hidden;
 height: 22px;
 margin-bottom: 10px;
 padding-left: 10px;
 background-color: #546379 !important;
 border-radius: 2px;
 -webkit-box-shadow: none;
 box-shadow: none;
 z-index: 10;
}
.progress-bar-danger {
 background-color: #e74c3c !important;
}
.progress-bar-info {
 background-color: #3498db !important;
}
.progress-bar-warning {
 background-color: #ff914d !important;
}
.progress-bar-success {
 background-color: #83a83b !important;
}
.widget-select select {
 margin-left: 12px;
}
.rendered_html :link {
 font-family: sans-serif;
 font-size: 100%;
 color: #4c8be2;
 text-decoration: underline;
}
.rendered_html :visited,
.rendered_html :visited:active,
.rendered_html :visited:focus {
 color: #6297e0;
}
.rendered_html :visited:hover,
.rendered_html :link:hover {
 font-family: sans-serif;
 font-size: 100%;
 color: #1671ef;
}
div.cell.text_cell a.anchor-link:link {
 font-size: inherit;
 text-decoration: none;
 padding: 0px 20px;
 visibility: none;
 color: rgba(0,0,0,.32);
}
div.cell.text_cell a.anchor-link:link:hover {
 font-size: inherit;
 color: #61afef;
}
.navbar-text {
 margin-top: 4px;
 margin-bottom: 0px;
}
#clusters > a {
 color: #61afef;
 text-decoration: underline;
 cursor: auto;
}
#clusters > a:hover {
 color: #4c8be2;
 text-decoration: underline;
 cursor: auto;
}
#nbextensions-configurator-container > div.row.container-fluid.nbext-selector > h3 {
 font-size: 17px;
 margin-top: 5px;
 margin-bottom: 8px;
 height: 24px;
 padding: 4px 0 4px 0;
}
div#nbextensions-configurator-container.container,
#nbextensions-configurator-container.container {
 width: 100%;
 margin-right: auto;
 margin-left: auto;
}
div.nbext-selector > nav > .nav > li > a {
 font-family: sans-serif;
 font-size: 10.5pt;
 padding: 2px 5px;
}
div.nbext-selector > nav > .nav > li > a:hover {
 background: transparent;
}
div.nbext-selector > nav > .nav > li:hover {
 background-color: rgba(80,92,133,.22) !important;
 background: rgba(80,92,133,.22) !important;
}
div.nbext-selector > nav > .nav > li.active:hover {
 background: transparent !important;
 background-color: transparent !important;
}
.nav-pills > li.active > a,
.nav-pills > li.active > a:active,
.nav-pills > li.active > a:hover,
.nav-pills > li.active > a:focus {
 color: #e4e8ee;
 background-color: rgba(80,92,133,.22) !important;
 background: rgba(80,92,133,.22) !important;
 -webkit-backface-visibility: hidden;
 -webkit-font-smoothing: subpixel-antialiased !important;
}
div.nbext-readme > .nbext-readme-contents > .rendered_html {
 font-family: sans-serif;
 font-size: 11.5pt;
 line-height: 145%;
 padding: 1em 1em;
 color: #abc1e2;
 background-color: #303845;
 -webkit-box-shadow: none;
 -moz-box-shadow: none;
 box-shadow: none;
}
.nbext-icon,
.nbext-desc,
.nbext-compat-div,
.nbext-enable-btns,
.nbext-params {
 margin-bottom: 8px;
 font-size: 11.5pt;
}
div.nbext-readme > .nbext-readme-contents {
 padding: 0;
 overflow-y: hidden;
}
div.nbext-readme > .nbext-readme-contents:not(:empty) {
 margin-top: 0.5em;
 margin-bottom: 2em;
 border: none;
 border-top-color: rgba(53,114,198,.2);
}
.nbext-showhide-incompat {
 padding-bottom: 0.5em;
 color: #92a2bd;
 font-size: 10.5pt;
}
.nbext-filter-menu.dropdown-menu > li > a:hover,
.nbext-filter-menu.dropdown-menu > li > a:focus,
.nbext-filter-menu.dropdown-menu > li > a.ui-state-focus {
 color: #d8dcee !important;
 background-color: #343d4b !important;
 background: #343d4b !important;
 border-color: #343d4b !important;
}
.nbext-filter-input-wrap > .nbext-filter-input-subwrap,
.nbext-filter-input-wrap > .nbext-filter-input-subwrap > input {
 border: none;
 outline: none;
 background-color: transparent;
 padding: 0;
 vertical-align: middle;
 margin-top: -2px;
}
span.rendered_html code {
 background-color: transparent;
 color: #a2b0c7;
}
#nbextensions-configurator-container > div.row.container-fluid.nbext-selector {
 padding-left: 0px;
 padding-right: 0px;
}
.nbext-filter-menu {
 max-height: 55vh !important;
 overflow-y: auto;
 outline: none;
 border: none;
}
.nbext-filter-menu:hover {
 border: none;
}
.alert-warning {
 background-color: #384152;
 border-color: #384152;
 color: #a2b0c7;
}
.notification_widget.danger {
 color: #ffffff;
 background-color: #e74c3c;
 border-color: #e74c3c;
 padding-right: 5px;
}
#nbextensions-configurator-container > div.nbext-buttons.tree-buttons.no-padding.pull-right > span > button {
 border: none !important;
}
button#refresh_running_list {
 border: none !important;
}
mark,
.mark {
 background-color: #303845;
 color: #abc1e2;
 padding: .15em;
}
a.text-warning,
a.text-warning:hover {
 color: #546379;
}
a.text-warning.bg-warning {
 background-color: #262931;
}
span.bg-success.text-success {
 background-color: transparent;
 color: #48a667;
}
span.bg-danger.text-danger {
 background-color: #262931;
 color: #dc6972;
}
.has-success .input-group-addon {
 color: #48a667;
 border-color: transparent;
 background: inherit;
 background-color: rgba(83,180,115,.10);
}
.has-success .form-control {
 border-color: #48a667;
 -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,0.025);
 box-shadow: inset 0 1px 1px rgba(0,0,0,0.025);
}
.has-error .input-group-addon {
 color: #dc6972;
 border-color: transparent;
 background: inherit;
 background-color: rgba(192,57,67,.10);
}
.has-error .form-control {
 border-color: #dc6972;
 -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,0.025);
 box-shadow: inset 0 1px 1px rgba(0,0,0,0.025);
}
.kse-input-group-pretty > kbd {
 font-family: monospace, monospace;
 color: #a2b0c7;
 font-weight: normal;
 background: transparent;
}
.kse-input-group-pretty > kbd {
 font-family: monospace, monospace;
 color: #a2b0c7;
 font-weight: normal;
 background: transparent;
}
div.nbext-enable-btns .btn[disabled],
div.nbext-enable-btns .btn[disabled]:hover,
.btn-default.disabled,
.btn-default[disabled] {
 background: #38424f;
 background-color: #38424f;
 color: #98a8c1;
}
label#Keyword-Filter {
 display: none;
}
.input-group .nbext-list-btn-add,
.input-group-btn:last-child > .btn-group > .btn {
 background: #2e3642;
 background-color: #2e3642;
 border-color: #2e3642;
 border: 2px solid #2e3642;
}
.input-group .nbext-list-btn-add:hover,
.input-group-btn:last-child > .btn-group > .btn:hover {
 background: #2a313c;
 background-color: #2a313c;
 border-color: #2a313c;
 border: 2px solid #2a313c;
}
#notebook-container > div.cell.code_cell.rendered.selected > div.widget-area > div.widget-subarea > div > div.widget_item.btn-group > button.btn.btn-default.dropdown-toggle.widget-combo-carrot-btn {
 background: #2e3642;
 background-color: #2e3642;
 border-color: #2e3642;
}
#notebook-container > div.cell.code_cell.rendered.selected > div.widget-area > div.widget-subarea > div > div.widget_item.btn-group > button.btn.btn-default.dropdown-toggle.widget-combo-carrot-btn:hover {
 background: #2a313c;
 background-color: #2a313c;
 border-color: #2a313c;
}
.ui-widget-content {
 background: #3a4452;
 background-color: #3a4452;
 border: 2px solid #3a4452;
 color: #a2b0c7;
}
div.collapsible_headings_toggle {
 color: rgba(80,92,133,.45) !important;
}
div.collapsible_headings_toggle:hover {
 color: #4c8be2 !important;
}
.collapsible_headings_toggle .h1,
.collapsible_headings_toggle .h2,
.collapsible_headings_toggle .h3,
.collapsible_headings_toggle .h4,
.collapsible_headings_toggle .h5,
.collapsible_headings_toggle .h6 {
 margin: 0.3em .4em 0em 0em !important;
 line-height: 1.2 !important;
}
div.collapsible_headings_toggle .fa-caret-down:before,
div.collapsible_headings_toggle .fa-caret-right:before {
 font-size: xx-large;
 transition: transform 1000ms;
 transform: none !important;
}
.collapsible_headings_collapsed.collapsible_headings_ellipsis .rendered_html h1:after,
.collapsible_headings_collapsed.collapsible_headings_ellipsis .rendered_html h2:after,
.collapsible_headings_collapsed.collapsible_headings_ellipsis .rendered_html h3:after,
.collapsible_headings_collapsed.collapsible_headings_ellipsis .rendered_html h4:after,
.collapsible_headings_collapsed.collapsible_headings_ellipsis .rendered_html h5:after,
.collapsible_headings_collapsed.collapsible_headings_ellipsis .rendered_html h6:after {
 position: absolute;
 right: 0;
 bottom: 20% !important;
 content: "[\002026]";
 color: rgba(80,92,133,.45) !important;
 padding: 0.5em 0em 0em 0em !important;
}
.collapsible_headings_ellipsis .rendered_html h1,
.collapsible_headings_ellipsis .rendered_html h2,
.collapsible_headings_ellipsis .rendered_html h3,
.collapsible_headings_ellipsis .rendered_html h4,
.collapsible_headings_ellipsis .rendered_html h5,
.collapsible_headings_ellipsis .rendered_html h6,
.collapsible_headings_toggle .fa {
 transition: transform 1000ms !important;
 -webkit-transform: inherit !important;
 -moz-transform: inherit !important;
 -ms-transform: inherit !important;
 -o-transform: inherit !important;
 transform: inherit !important;
 padding-right: 0px !important;
}
#toc-wrapper {
 z-index: 90;
 position: fixed !important;
 display: flex;
 flex-direction: column;
 overflow: hidden;
 padding: 10px;
 border-style: solid;
 border-width: thin;
 border-right-width: medium !important;
 background-color: #262931 !important;
}
#toc-wrapper.ui-draggable.ui-resizable.sidebar-wrapper {
 border-color: rgba(80,92,133,.22) !important;
}
#toc a,
#navigate_menu a,
.toc {
 color: #a2b0c7 !important;
 font-size: 11pt !important;
}
#toc li > span:hover {
 background-color: #343d4b !important;
}
#toc a:hover,
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<h1 id="ENEM:-Analyzing-data-from-1999-to-2008">ENEM: Analyzing data from 1999 to 2008<a class="anchor-link" href="#ENEM:-Analyzing-data-from-1999-to-2008">&#182;</a></h1><p><em>by Lucas Bracher</em></p>
<p>ENEM, Brazilian National High School Exam, was in its first 11 years an evaluation tool for Brazilian high school. At the end of this period, it became a compulsory examination for anyone who wanted to enter federal colleges and universities, that is, it became an examination similar to the Italian <em>Esame di Maturità</em> and the French <em>Baccalauréat</em>. Fortunately, Brazilian Ministry of Education made available the scores and socioeconomic data of each candidate, so that we can make very interesting data crossings of these first 10 years, as well as discover relationships between candidates' grades with family income, presence of tap water and electricity in house, as well as the relation between the scores and the studies in public or private school and its relation with concomitant work during high school. In this article we'll look at these files with the <a href="https://pandas.pydata.org/">Pandas</a>, <a href="http://www.numpy.org/">NumPy</a> and <a href="https://matplotlib.org/">Matplotlib</a> libraries.</p>
<p>This notebook, along with data and metadata can be downloaded at <a href="https://github.com/lucasbracher/enem">https://github.com/lucasbracher/enem</a> , and you are encouraged to propose other analysis and modifications. Please give a try!</p>
<h2 id="Getting-the-data">Getting the data<a class="anchor-link" href="#Getting-the-data">&#182;</a></h2><p>The data can be downloaded from the <a href="http://inep.gov.br/microdados">INEP website</a>, institute responsible for the elaboration, application and organization of the results. All data available up to March 14, 2019 goes from the first edition (1998) until 2017. Unfortunately, because few students answered to the socio-economic evaluation of the 1998 edition, we decided not to use the data from this edition. Therefore, we used the data from 1999 to 2008. From 2009 the data became available in a slightly more complex format and we thought it would be better to analyze them in a second moment.</p>
<p>The data for each of these first years are made available in <code>.sas</code> and<code>.sps</code> format, which are data description files, related to another text file with fixed width fields.</p>
<h2 id="Analysis-of-the-content-of-each-year-and-preparation-of-the-data">Analysis of the content of each year and preparation of the data<a class="anchor-link" href="#Analysis-of-the-content-of-each-year-and-preparation-of-the-data">&#182;</a></h2><p>In general, each set of data for each year is made available in a <code>.zip</code> file containing the following directories:</p>
<ul>
<li><code>DATA</code>: contains a<code>.txt</code> file containing the notes and socio-economic data of each student. This file is in fixed width field format.</li>
<li><code>INPUT_SAS_SPSS</code>: contains the metadata files for reading the<code>.txt</code> file contained in <code>DATA</code>.</li>
<li><code>README</code>: contains a<code>.pdf</code> extension file containing the data dictionary for reading the <code>.txt</code> file, as well as the contents of the tests.</li>
</ul>
<p>For the use of the data of each year, the <code>.txt</code> and<code>.sas</code> files of each year were placed in the same folder. Each <code>.sas</code> file was edited so that the<code>.txt</code> file could be read while it was in the same folder, because originally the required path is <code>C: \</code>.</p>
<h2 id="First-problems">First problems<a class="anchor-link" href="#First-problems">&#182;</a></h2><p>The first problem we faced was that the <code>.sas</code> files could not be read with the package sas made available in Python:</p>

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<div class="highlight" style="background-color:#262931"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="kn">as</span> <span class="nn">pd</span>
<span class="n">enem1998</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_sas</span><span class="p">(</span><span class="s2">&quot;INPUT_SAS_ENEM_1998.sas&quot;</span><span class="p">)</span>

<span class="o">---------------------------------------------------------------------------</span>
<span class="ne">ValueError</span>                                <span class="n">Traceback</span> <span class="p">(</span><span class="n">most</span> <span class="n">recent</span> <span class="n">call</span> <span class="n">last</span><span class="p">)</span>
<span class="o">&lt;</span><span class="n">ipython</span><span class="o">-</span><span class="nb">input</span><span class="o">-</span><span class="mi">1</span><span class="o">-</span><span class="n">c40e8ad19bdf</span><span class="o">&gt;</span> <span class="ow">in</span> <span class="o">&lt;</span><span class="n">module</span><span class="o">&gt;</span>
      <span class="mi">1</span> <span class="kn">import</span> <span class="nn">pandas</span> <span class="kn">as</span> <span class="nn">pd</span>
      <span class="mi">2</span> 
<span class="o">----&gt;</span> <span class="mi">3</span> <span class="n">enem1998</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_sas</span><span class="p">(</span><span class="s2">&quot;INPUT_SAS_ENEM_1998.sas&quot;</span><span class="p">)</span>

<span class="o">~/.</span><span class="n">local</span><span class="o">/</span><span class="n">lib</span><span class="o">/</span><span class="n">python3</span><span class="o">.</span><span class="mi">6</span><span class="o">/</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="o">/</span><span class="n">pandas</span><span class="o">/</span><span class="n">io</span><span class="o">/</span><span class="n">sas</span><span class="o">/</span><span class="n">sasreader</span><span class="o">.</span><span class="n">py</span> <span class="ow">in</span> <span class="n">read_sas</span><span class="p">(</span><span class="n">filepath_or_buffer</span><span class="p">,</span> <span class="n">format</span><span class="p">,</span> <span class="n">index</span><span class="p">,</span> <span class="n">encoding</span><span class="p">,</span> <span class="n">chunksize</span><span class="p">,</span> <span class="n">iterator</span><span class="p">)</span>
     <span class="mi">46</span>             <span class="n">format</span> <span class="o">=</span> <span class="s2">&quot;sas7bdat&quot;</span>
     <span class="mi">47</span>         <span class="k">else</span><span class="p">:</span>
<span class="o">---&gt;</span> <span class="mi">48</span>             <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;unable to infer format of SAS file&quot;</span><span class="p">)</span>
     <span class="mi">49</span> 
     <span class="mi">50</span>     <span class="k">if</span> <span class="n">format</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="o">==</span> <span class="s1">&#39;xport&#39;</span><span class="p">:</span>

<span class="ne">ValueError</span><span class="p">:</span> <span class="n">unable</span> <span class="n">to</span> <span class="n">infer</span> <span class="n">format</span> <span class="n">of</span> <span class="n">SAS</span> <span class="nb">file</span>
</pre></div>

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<p>The second problem is the inconsistency of fields and data over the years. There are several fields in the data of each year whose names have no clear meaning; each year such fields have different names, different positions and different contents, apart from the fact that the Pandas <code>.csv</code> file parser sometimes does not make a good guess of which would be the best type for each column, resulting a DataFrame of much larger size than necessary.</p>
<h2 id="Solutions">Solutions<a class="anchor-link" href="#Solutions">&#182;</a></h2><p>The solution found for the first problem was to write a quick "parser" based on .sas files. To build this parser, we opened an .sas file and we got the following in the first few lines:</p>

<pre><code>DATE ENEM_1998;
RETAIN MASC_INSCRITO NU_ANO DT_NASCIMENTO;
INFILE "C: \ DATA_ENEM_1998.TXT"
LRECL = 477 MISSOVER;
INPUT
@1 MASC_INSCRITO $ Char8. / * Enrollment Mask * /
@9 NU_ANO 8. / * Year of the Enem * /
@17 DT_NASCIMENTO $ Char20. / * Date of birth of the registrant * /
@37 TP_SEXO 8. / * Sex of member * /
@45 CODMUNIC_INSC $ Char12. / * Municipal Code in which the enrollee lives: * /
.
.
.</code></pre>
<p>From these files a quick parser was written, and it will be presented just below.</p>
<p>The solution to the second problem was to construct a metadata table containing the information of each field in each year in order to normalize both column names and contents. This table contains 6 fields:</p>
<ul>
<li><p><code>YEAR</code>: year of the ENEM test</p>
</li>
<li><p><code>FIELD</code>: field of ENEM data year file</p>
</li>
<li><p><code>TYPE</code>: type to be converted to reading <code>.csv</code> file</p>
</li>
<li><p><code>RENAME_TO</code>: significant name for which the field will be renamed</p>
</li>
<li><p><code>MANDATORY</code>: If this field is set to 1, only records containing this field will be loaded.</p>
</li>
<li><p><code>CONVERT_TO</code>: data conversion dictionary for more meaningful content.</p>
</li>
</ul>
<p>Such a table was written to a <code>.csv</code> file and loaded using Pandas itself.</p>

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<h2 id="Downloading-and-processing-data-data-(optional-step)">Downloading and processing data data (optional step)<a class="anchor-link" href="#Downloading-and-processing-data-data-(optional-step)">&#182;</a></h2><p>This step is optional and can last several hours of processing and can be skipped. You can go to the <a href="#Fast-data-loading">Fast Data Loading</a> part, where data is loaded from a binary file in a few seconds.</p>
<p>In order to download the data from the internet and make it into <code>.csv</code> files, just run the code below:</p>

</div>
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<div class="input">
<div class="prompt input_prompt">In&nbsp;[1]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">collections</span>
<span class="kn">import</span> <span class="nn">csv</span><span class="o">,</span> <span class="nn">io</span><span class="o">,</span> <span class="nn">zipfile</span>
<span class="kn">import</span> <span class="nn">requests</span>
<span class="kn">import</span> <span class="nn">re</span>
<span class="kn">import</span> <span class="nn">sys</span><span class="o">,</span> <span class="nn">os</span><span class="o">,</span> <span class="nn">shutil</span>
<span class="kn">from</span> <span class="nn">IPython.display</span> <span class="k">import</span> <span class="n">display</span>
<span class="kn">import</span> <span class="nn">ipywidgets</span> <span class="k">as</span> <span class="nn">widgets</span>

<span class="n">out</span> <span class="o">=</span> <span class="n">widgets</span><span class="o">.</span><span class="n">HTML</span><span class="p">(</span><span class="n">value</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span>
    <span class="n">placeholder</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span>
    <span class="n">description</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">)</span>
<span class="n">display</span><span class="p">(</span><span class="n">out</span><span class="p">)</span>

<span class="n">urlprefix</span> <span class="o">=</span> <span class="s1">&#39;http://download.inep.gov.br/microdados/&#39;</span>

<span class="n">files</span> <span class="o">=</span> <span class="p">{</span>
    <span class="s1">&#39;micro_enem1999.zip&#39;</span> <span class="p">:</span> 
        <span class="p">{</span><span class="s1">&#39;meta&#39;</span> <span class="p">:</span> <span class="s1">&#39;IMPUT_SAS_SPSS/INPUT_SAS_ENEM_1999.sas&#39;</span><span class="p">,</span> 
         <span class="s1">&#39;data&#39;</span> <span class="p">:</span> <span class="s1">&#39;DADOS/DADOS_ENEM_1999.zip&#39;</span><span class="p">,</span> 
         <span class="s1">&#39;rename&#39;</span> <span class="p">:</span> <span class="s1">&#39;DADOS_ENEM_1999.csv&#39;</span><span class="p">},</span>
    <span class="s1">&#39;micro_enem2000.zip&#39;</span> <span class="p">:</span> 
        <span class="p">{</span><span class="s1">&#39;meta&#39;</span> <span class="p">:</span> <span class="s1">&#39;IMPUT_SAS_SPSS/INPUT_SAS_ENEM_2000.sas&#39;</span><span class="p">,</span>
         <span class="s1">&#39;data&#39;</span> <span class="p">:</span> <span class="s1">&#39;DADOS/DADOS_ENEM_2000.zip&#39;</span><span class="p">,</span> 
         <span class="s1">&#39;rename&#39;</span> <span class="p">:</span> <span class="s1">&#39;DADOS_ENEM_2000.csv&#39;</span><span class="p">},</span>
    <span class="s1">&#39;micro_enem2001.zip&#39;</span> <span class="p">:</span> 
        <span class="p">{</span><span class="s1">&#39;meta&#39;</span> <span class="p">:</span> <span class="s1">&#39;IMPUT_SAS_SPSS/INPUT_SAS_ENEM_2001.sas&#39;</span><span class="p">,</span>
         <span class="s1">&#39;data&#39;</span> <span class="p">:</span> <span class="s1">&#39;DADOS/DADOS_ENEM_2001.TXT&#39;</span><span class="p">,</span> 
         <span class="s1">&#39;rename&#39;</span> <span class="p">:</span> <span class="s1">&#39;DADOS_ENEM_2001.csv&#39;</span><span class="p">},</span>
    <span class="s1">&#39;micro_enem2002.zip&#39;</span> <span class="p">:</span> 
        <span class="p">{</span><span class="s1">&#39;meta&#39;</span> <span class="p">:</span> <span class="s1">&#39;INPUTS_SAS_SPSS/INPUT_SAS_ENEM_2002.sas&#39;</span><span class="p">,</span>
         <span class="s1">&#39;data&#39;</span> <span class="p">:</span> <span class="s1">&#39;DADOS/DADOS_ENEM_2002.zip&#39;</span><span class="p">,</span> 
         <span class="s1">&#39;rename&#39;</span> <span class="p">:</span> <span class="s1">&#39;DADOS_ENEM_2002.csv&#39;</span><span class="p">},</span>
    <span class="s1">&#39;micro_enem2003.zip&#39;</span> <span class="p">:</span> 
        <span class="p">{</span><span class="s1">&#39;meta&#39;</span> <span class="p">:</span> <span class="s1">&#39;INPUTS_SAS_SPSS/INPUT_SAS_ENEM_2003.sas&#39;</span><span class="p">,</span>
         <span class="s1">&#39;data&#39;</span> <span class="p">:</span> <span class="s1">&#39;DADOS/DADOS_ENEM_2003.zip&#39;</span><span class="p">,</span> 
         <span class="s1">&#39;rename&#39;</span> <span class="p">:</span> <span class="s1">&#39;DADOS_ENEM_2003.csv&#39;</span><span class="p">},</span>
    <span class="s1">&#39;micro_enem2004.zip&#39;</span> <span class="p">:</span> 
        <span class="p">{</span><span class="s1">&#39;meta&#39;</span> <span class="p">:</span> <span class="s1">&#39;INPUTS_SAS_SPSS/INPUT_SAS_ENEM_2004.sas&#39;</span><span class="p">,</span>
         <span class="s1">&#39;data&#39;</span> <span class="p">:</span> <span class="s1">&#39;DADOS/DADOS_ENEM_2004.zip&#39;</span><span class="p">,</span> 
         <span class="s1">&#39;rename&#39;</span> <span class="p">:</span> <span class="s1">&#39;DADOS_ENEM_2004.csv&#39;</span><span class="p">},</span>
    <span class="s1">&#39;microdados_enem_2005.zip&#39;</span> <span class="p">:</span> 
        <span class="p">{</span><span class="s1">&#39;meta&#39;</span> <span class="p">:</span> <span class="s1">&#39;INPUT_SAS_ENEM_2005.sas&#39;</span><span class="p">,</span>
         <span class="s1">&#39;data&#39;</span> <span class="p">:</span> <span class="s1">&#39;DADOS_ENEM_2005.zip&#39;</span><span class="p">,</span> 
         <span class="s1">&#39;rename&#39;</span> <span class="p">:</span> <span class="s1">&#39;DADOS_ENEM_2005.csv&#39;</span><span class="p">},</span>
    <span class="s1">&#39;microdados_ENEM_2006.zip&#39;</span> <span class="p">:</span> 
        <span class="p">{</span><span class="s1">&#39;meta&#39;</span> <span class="p">:</span> <span class="s1">&#39;&#39;</span><span class="p">,</span>
         <span class="s1">&#39;data&#39;</span> <span class="p">:</span> <span class="s1">&#39;Microdados Enem 2006 (2° Ediç╞o)/Dados/MICRODADOS_ENEM_2006.csv&#39;</span><span class="p">,</span> 
         <span class="s1">&#39;rename&#39;</span> <span class="p">:</span> <span class="s1">&#39;DADOS_ENEM_2006.csv&#39;</span><span class="p">},</span>
    <span class="s1">&#39;microdados_enem_2007_DVD.zip&#39;</span> <span class="p">:</span> 
        <span class="p">{</span><span class="s1">&#39;meta&#39;</span> <span class="p">:</span> <span class="s1">&#39;&#39;</span><span class="p">,</span>
         <span class="s1">&#39;data&#39;</span> <span class="p">:</span> <span class="s1">&#39;Microdados Enem 2007 (2° Ediç╞o)/Dados/MICRODADOS_ENEM_2007.csv&#39;</span><span class="p">,</span> 
         <span class="s1">&#39;rename&#39;</span> <span class="p">:</span> <span class="s1">&#39;DADOS_ENEM_2007.csv&#39;</span><span class="p">},</span>
    <span class="s1">&#39;microdados_enem_2008.zip&#39;</span> <span class="p">:</span> 
        <span class="p">{</span><span class="s1">&#39;meta&#39;</span> <span class="p">:</span> <span class="s1">&#39;&#39;</span><span class="p">,</span>
         <span class="s1">&#39;data&#39;</span> <span class="p">:</span> <span class="s1">&#39;Microdados Enem 2008 (2° Ediç╞o)/Dados/MICRODADOS_ENEM_2008.csv&#39;</span><span class="p">,</span> 
         <span class="s1">&#39;rename&#39;</span> <span class="p">:</span> <span class="s1">&#39;DADOS_ENEM_2008.csv&#39;</span><span class="p">}</span>
<span class="p">}</span>

<span class="k">def</span> <span class="nf">transform_sas_to_csv</span><span class="p">(</span><span class="n">sas_filename</span><span class="p">):</span>

    <span class="n">dir_name</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="n">sas_filename</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
    <span class="n">csv_filename</span> <span class="o">=</span> <span class="s2">&quot;&quot;</span>
    
    <span class="n">pre_fields</span> <span class="o">=</span> <span class="n">collections</span><span class="o">.</span><span class="n">OrderedDict</span><span class="p">()</span>

    <span class="c1"># get info from malformed sas file</span>
    <span class="k">try</span><span class="p">:</span>
        <span class="n">sas_file</span> <span class="o">=</span> <span class="nb">open</span><span class="p">(</span><span class="n">sas_filename</span><span class="p">,</span> <span class="s2">&quot;r&quot;</span><span class="p">,</span> <span class="n">encoding</span><span class="o">=</span><span class="s2">&quot;ISO-8859-1&quot;</span><span class="p">)</span>
    <span class="k">except</span><span class="p">:</span>
        <span class="n">sys</span><span class="o">.</span><span class="n">exit</span><span class="p">(</span><span class="s2">&quot;File not found&quot;</span><span class="p">)</span>
    <span class="k">for</span> <span class="n">line</span> <span class="ow">in</span> <span class="n">sas_file</span><span class="p">:</span>
        <span class="n">match</span> <span class="o">=</span> <span class="n">re</span><span class="o">.</span><span class="n">search</span><span class="p">(</span><span class="s1">&#39;^INFILE.*&#39;</span><span class="p">,</span> <span class="n">line</span><span class="p">)</span>
        <span class="k">if</span> <span class="n">match</span><span class="p">:</span>
            <span class="n">data_filename</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">dir_name</span><span class="p">,</span> <span class="n">line</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;&quot;&#39;</span><span class="p">)[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;</span><span class="se">\\</span><span class="s1">&#39;</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
            <span class="n">csv_filename</span> <span class="o">=</span> <span class="s2">&quot;</span><span class="si">{}</span><span class="s2">.csv&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">data_filename</span><span class="p">)</span>
        <span class="n">match</span> <span class="o">=</span> <span class="n">re</span><span class="o">.</span><span class="n">search</span><span class="p">(</span><span class="s1">&#39;^@([0-9]+)[ </span><span class="se">\t</span><span class="s1">]+([^ </span><span class="se">\t</span><span class="s1">]+)&#39;</span><span class="p">,</span> <span class="n">line</span><span class="p">)</span>
        <span class="k">if</span> <span class="n">match</span><span class="p">:</span>
            <span class="n">pre_fields</span><span class="p">[</span><span class="n">match</span><span class="o">.</span><span class="n">group</span><span class="p">(</span><span class="mi">2</span><span class="p">)]</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">match</span><span class="o">.</span><span class="n">group</span><span class="p">(</span><span class="mi">1</span><span class="p">))</span><span class="o">-</span><span class="mi">1</span>
    <span class="n">pre_fields</span><span class="p">[</span><span class="s1">&#39;ending&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
    <span class="n">sas_file</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>

    <span class="c1"># post-processing fields</span>
    <span class="n">pre_value</span> <span class="o">=</span> <span class="kc">None</span>
    <span class="n">pre_key</span> <span class="o">=</span> <span class="kc">None</span>
    <span class="n">fields</span> <span class="o">=</span> <span class="n">collections</span><span class="o">.</span><span class="n">OrderedDict</span><span class="p">()</span>
    <span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">value</span> <span class="ow">in</span> <span class="n">pre_fields</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
        <span class="k">if</span> <span class="n">pre_key</span><span class="p">:</span>
            <span class="n">fields</span><span class="p">[</span><span class="n">pre_key</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="n">pre_value</span><span class="p">,</span> <span class="n">value</span><span class="p">]</span>
        <span class="n">pre_value</span> <span class="o">=</span> <span class="n">value</span>
        <span class="n">pre_key</span> <span class="o">=</span> <span class="n">key</span>

    <span class="c1"># open csv file to write</span>
    <span class="n">csv_file</span> <span class="o">=</span> <span class="nb">open</span><span class="p">(</span><span class="n">csv_filename</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;w&#39;</span><span class="p">)</span>
    <span class="n">fieldnames</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">fields</span><span class="o">.</span><span class="n">keys</span><span class="p">())</span>
    <span class="n">writer</span> <span class="o">=</span> <span class="n">csv</span><span class="o">.</span><span class="n">DictWriter</span><span class="p">(</span><span class="n">csv_file</span><span class="p">,</span> <span class="n">fieldnames</span><span class="o">=</span><span class="n">fieldnames</span><span class="p">,</span> <span class="n">delimiter</span><span class="o">=</span><span class="s2">&quot;;&quot;</span><span class="p">)</span>
    <span class="n">writer</span><span class="o">.</span><span class="n">writeheader</span><span class="p">()</span>

    <span class="c1"># open data file</span>
    <span class="k">try</span><span class="p">:</span>
        <span class="n">data_file</span> <span class="o">=</span> <span class="nb">open</span><span class="p">(</span><span class="n">data_filename</span><span class="p">,</span> <span class="s2">&quot;r&quot;</span><span class="p">,</span> <span class="n">encoding</span><span class="o">=</span><span class="s2">&quot;ISO-8859-1&quot;</span><span class="p">)</span>
        <span class="n">out</span><span class="o">.</span><span class="n">value</span> <span class="o">=</span> <span class="s2">&quot;Data file opened&quot;</span>
    <span class="k">except</span><span class="p">:</span>
        <span class="k">return</span> <span class="s2">&quot;&quot;</span>
    <span class="n">n</span> <span class="o">=</span> <span class="mi">1</span>
    <span class="k">for</span> <span class="n">line</span> <span class="ow">in</span> <span class="n">data_file</span><span class="p">:</span>
        <span class="c1"># read data file line by line</span>
        <span class="n">csv_line</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">()</span>
        <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">fields</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
            <span class="n">csv_line</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="nb">str</span><span class="o">.</span><span class="n">strip</span><span class="p">(</span><span class="n">line</span><span class="p">[</span><span class="n">v</span><span class="p">[</span><span class="mi">0</span><span class="p">]:</span> <span class="n">v</span><span class="p">[</span><span class="mi">1</span><span class="p">]])</span>
        <span class="n">writer</span><span class="o">.</span><span class="n">writerow</span><span class="p">(</span><span class="n">csv_line</span><span class="p">)</span>
        <span class="k">if</span> <span class="n">n</span> <span class="o">%</span> <span class="mi">1000</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
            <span class="n">out</span><span class="o">.</span><span class="n">value</span> <span class="o">=</span> <span class="s2">&quot;Reading line </span><span class="si">{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">n</span><span class="p">)</span>
        <span class="n">n</span> <span class="o">+=</span> <span class="mi">1</span>
    
    <span class="n">csv_file</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
    <span class="n">data_file</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
    <span class="k">return</span> <span class="n">csv_filename</span>
    

<span class="k">for</span> <span class="n">zipname</span><span class="p">,</span> <span class="n">zipcompressedfiles</span> <span class="ow">in</span> <span class="n">files</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
    <span class="n">data</span> <span class="o">=</span> <span class="n">zipcompressedfiles</span><span class="p">[</span><span class="s1">&#39;data&#39;</span><span class="p">]</span>
    <span class="n">meta</span> <span class="o">=</span> <span class="n">zipcompressedfiles</span><span class="p">[</span><span class="s1">&#39;meta&#39;</span><span class="p">]</span>
    <span class="n">rename</span> <span class="o">=</span> <span class="n">zipcompressedfiles</span><span class="p">[</span><span class="s1">&#39;rename&#39;</span><span class="p">]</span>
    
    <span class="n">out</span><span class="o">.</span><span class="n">value</span> <span class="o">=</span> <span class="s2">&quot;Downloading </span><span class="si">{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">zipname</span><span class="p">)</span>
    <span class="n">enem</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="s2">&quot;</span><span class="si">{}{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">urlprefix</span><span class="p">,</span><span class="n">zipname</span><span class="p">))</span>
    <span class="n">z</span> <span class="o">=</span> <span class="n">zipfile</span><span class="o">.</span><span class="n">ZipFile</span><span class="p">(</span><span class="n">io</span><span class="o">.</span><span class="n">BytesIO</span><span class="p">(</span><span class="n">enem</span><span class="o">.</span><span class="n">content</span><span class="p">))</span>
    <span class="n">z</span><span class="o">.</span><span class="n">extract</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">path</span><span class="o">=</span><span class="s1">&#39;tmp&#39;</span><span class="p">)</span>
    
    <span class="k">if</span> <span class="n">meta</span><span class="p">:</span>
        <span class="n">z</span><span class="o">.</span><span class="n">extract</span><span class="p">(</span><span class="n">meta</span><span class="p">,</span> <span class="n">path</span><span class="o">=</span><span class="s1">&#39;tmp&#39;</span><span class="p">)</span>
        <span class="k">if</span> <span class="s1">&#39;.zip&#39;</span> <span class="ow">in</span> <span class="n">data</span><span class="p">:</span>
            <span class="n">z</span> <span class="o">=</span> <span class="n">zipfile</span><span class="o">.</span><span class="n">ZipFile</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s1">&#39;tmp&#39;</span><span class="p">,</span> <span class="n">data</span><span class="p">))</span>
            <span class="n">z</span><span class="o">.</span><span class="n">extractall</span><span class="p">(</span><span class="n">path</span><span class="o">=</span><span class="s1">&#39;tmp&#39;</span><span class="p">)</span>
            <span class="n">data</span> <span class="o">=</span> <span class="n">z</span><span class="o">.</span><span class="n">namelist</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span>
            
        <span class="n">os</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s1">&#39;tmp&#39;</span><span class="p">,</span> <span class="n">data</span><span class="p">),</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s1">&#39;raw&#39;</span><span class="p">,</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">basename</span><span class="p">(</span><span class="n">data</span><span class="p">)))</span>
        <span class="n">os</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s1">&#39;tmp&#39;</span><span class="p">,</span> <span class="n">meta</span><span class="p">),</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s1">&#39;raw&#39;</span><span class="p">,</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">basename</span><span class="p">(</span><span class="n">meta</span><span class="p">)))</span>
        <span class="n">csv_name</span> <span class="o">=</span> <span class="n">transform_sas_to_csv</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s1">&#39;raw&#39;</span><span class="p">,</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">basename</span><span class="p">(</span><span class="n">meta</span><span class="p">)))</span>
        <span class="n">os</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">csv_name</span><span class="p">,</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s1">&#39;data&#39;</span><span class="p">,</span> <span class="n">rename</span><span class="p">))</span>
    <span class="k">else</span><span class="p">:</span>
        <span class="n">os</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s1">&#39;tmp&#39;</span><span class="p">,</span> <span class="n">data</span><span class="p">),</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s1">&#39;data&#39;</span><span class="p">,</span> <span class="n">rename</span><span class="p">))</span>
    <span class="n">out</span><span class="o">.</span><span class="n">value</span> <span class="o">=</span> <span class="s2">&quot;</span><span class="si">{}</span><span class="s2"> finished.&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">basename</span><span class="p">(</span><span class="n">data</span><span class="p">))</span>
<span class="n">out</span><span class="o">.</span><span class="n">value</span> <span class="o">=</span> <span class="s2">&quot;All data downloaded and processed.&quot;</span>
</pre></div>

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<p>Then, it is necessary to load the data dictionary, already described above:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="n">dicts</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s2">&quot;table_of_dicts_enem.csv&quot;</span><span class="p">,</span> <span class="n">delimiter</span><span class="o">=</span><span class="s1">&#39;</span><span class="se">\t</span><span class="s1">&#39;</span><span class="p">)</span>
<span class="n">dicts</span><span class="o">.</span><span class="n">dropna</span><span class="p">(</span><span class="n">subset</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;CONVERT_TO&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">head</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>YEAR</th>
      <th>FIELD</th>
      <th>TYPE</th>
      <th>RENAME_TO</th>
      <th>MANDATORY</th>
      <th>CONVERT_TO</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>19</th>
      <td>1999</td>
      <td>Q3</td>
      <td>category</td>
      <td>SKIN_COLOR</td>
      <td>NaN</td>
      <td>{'A': 'white', 'B': 'biracial', 'C': 'black', ...</td>
    </tr>
    <tr>
      <th>23</th>
      <td>1999</td>
      <td>Q18</td>
      <td>category</td>
      <td>FATHER_SCHOOLING</td>
      <td>NaN</td>
      <td>{'A': 'A-didnt_go_to_school', 'B': 'B-primary_...</td>
    </tr>
    <tr>
      <th>24</th>
      <td>1999</td>
      <td>Q19</td>
      <td>category</td>
      <td>MOTHER_SCHOOLING</td>
      <td>NaN</td>
      <td>{'A': 'A-didnt_go_to_school', 'B': 'B-primary_...</td>
    </tr>
    <tr>
      <th>26</th>
      <td>1999</td>
      <td>Q55</td>
      <td>category</td>
      <td>SECONDARY_SCHOOL_1</td>
      <td>1.0</td>
      <td>{'A': 'daytime', 'B': 'both', 'C': 'nighttime'}</td>
    </tr>
    <tr>
      <th>27</th>
      <td>1999</td>
      <td>Q56</td>
      <td>category</td>
      <td>SECONDARY_SCHOOL_2</td>
      <td>1.0</td>
      <td>{'A': 'public', 'B': 'both', 'C': 'private'}</td>
    </tr>
  </tbody>
</table>
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<h2 id="Loading-data-(optional-step)">Loading data (optional step)<a class="anchor-link" href="#Loading-data-(optional-step)">&#182;</a></h2><p>The data was uploaded to a single DataFrame. To facilitate analysis on a conventional computer, a maximum of 100000 rows per year were considered. Obviously, if you have a computer with a lot of memory, we encourage you to raise that level to 200,000 or more, but we believe that the statistical effect will not be so impacting in the analysis.</p>
<p>One important thing to note is that the encoding of files is different. Files from 1999 to 2005 are encoded in <code>utf-8</code> whereas those from 2006 to 2008 are encoded in<code>latin1</code>.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">ast</span>
<span class="kn">import</span> <span class="nn">os</span>
<span class="kn">import</span> <span class="nn">time</span>
<span class="kn">from</span> <span class="nn">IPython.display</span> <span class="k">import</span> <span class="n">display</span>
<span class="kn">import</span> <span class="nn">ipywidgets</span> <span class="k">as</span> <span class="nn">widgets</span>

<span class="n">out</span> <span class="o">=</span> <span class="n">widgets</span><span class="o">.</span><span class="n">HTML</span><span class="p">(</span><span class="n">value</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span>
    <span class="n">placeholder</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span>
    <span class="n">description</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">)</span>
<span class="n">display</span><span class="p">(</span><span class="n">out</span><span class="p">)</span>

<span class="n">start_time</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>

<span class="n">enem</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">()</span>

<span class="n">files</span> <span class="o">=</span> <span class="p">{</span>
    <span class="mi">1999</span> <span class="p">:</span> <span class="s1">&#39;utf-8&#39;</span><span class="p">,</span> <span class="mi">2000</span> <span class="p">:</span> <span class="s1">&#39;utf-8&#39;</span><span class="p">,</span> <span class="mi">2001</span> <span class="p">:</span> <span class="s1">&#39;utf-8&#39;</span><span class="p">,</span> <span class="mi">2002</span> <span class="p">:</span> <span class="s1">&#39;utf-8&#39;</span><span class="p">,</span> <span class="mi">2003</span> <span class="p">:</span> <span class="s1">&#39;utf-8&#39;</span><span class="p">,</span> 
    <span class="mi">2004</span> <span class="p">:</span> <span class="s1">&#39;utf-8&#39;</span><span class="p">,</span> <span class="mi">2005</span> <span class="p">:</span> <span class="s1">&#39;utf-8&#39;</span><span class="p">,</span> <span class="mi">2006</span> <span class="p">:</span> <span class="s1">&#39;latin1&#39;</span><span class="p">,</span> <span class="mi">2007</span> <span class="p">:</span> <span class="s1">&#39;latin1&#39;</span><span class="p">,</span> <span class="mi">2008</span> <span class="p">:</span> <span class="s1">&#39;latin1&#39;</span> 
<span class="p">}</span>

<span class="k">for</span> <span class="n">year</span><span class="p">,</span> <span class="n">enc</span> <span class="ow">in</span> <span class="n">files</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
    <span class="c1"># Which columns we would like to load for this year</span>
    <span class="n">columns</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">dicts</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">dicts</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">]</span><span class="o">==</span><span class="n">year</span> <span class="p">,</span> <span class="s1">&#39;FIELD&#39;</span><span class="p">])</span>
    <span class="c1"># Which types are they?</span>
    <span class="n">types</span> <span class="o">=</span> <span class="n">dicts</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">dicts</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">]</span><span class="o">==</span><span class="n">year</span><span class="p">,</span> <span class="p">[</span><span class="s1">&#39;FIELD&#39;</span><span class="p">,</span> <span class="s1">&#39;TYPE&#39;</span><span class="p">]]</span><span class="o">.</span>\
        <span class="n">dropna</span><span class="p">()</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s1">&#39;FIELD&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">squeeze</span><span class="p">()</span><span class="o">.</span><span class="n">to_dict</span><span class="p">()</span>
    <span class="c1"># Only non-NaN fields:</span>
    <span class="n">mandatory</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">dicts</span><span class="o">.</span><span class="n">loc</span><span class="p">[(</span><span class="n">dicts</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">]</span><span class="o">==</span><span class="n">year</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">dicts</span><span class="p">[</span><span class="s1">&#39;MANDATORY&#39;</span><span class="p">]</span><span class="o">==</span><span class="mi">1</span><span class="p">)</span> <span class="p">,</span> <span class="s1">&#39;FIELD&#39;</span><span class="p">])</span>
    <span class="n">out</span><span class="o">.</span><span class="n">value</span> <span class="o">=</span> <span class="s2">&quot;Loading DADOS_ENEM_</span><span class="si">{}</span><span class="s2">.csv...&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">year</span><span class="p">)</span>
    
    <span class="n">enem_year</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="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s2">&quot;data&quot;</span><span class="p">,</span> <span class="s1">&#39;DADOS_ENEM_</span><span class="si">{}</span><span class="s1">.csv&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">year</span><span class="p">)),</span> 
        <span class="n">delimiter</span><span class="o">=</span><span class="s1">&#39;;&#39;</span><span class="p">,</span> 
        <span class="n">usecols</span><span class="o">=</span><span class="n">columns</span><span class="p">,</span>
        <span class="n">dtype</span><span class="o">=</span><span class="n">types</span><span class="p">,</span>
        <span class="n">encoding</span><span class="o">=</span><span class="n">enc</span>
    <span class="p">)</span><span class="o">.</span><span class="n">dropna</span><span class="p">(</span>
        <span class="n">subset</span><span class="o">=</span><span class="n">mandatory</span>
    <span class="p">)</span>
    
    <span class="c1"># Which will be the new names of the fields?</span>
    <span class="n">new_names</span> <span class="o">=</span> <span class="n">dicts</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">dicts</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">]</span><span class="o">==</span><span class="n">year</span><span class="p">,</span> <span class="p">[</span><span class="s1">&#39;FIELD&#39;</span><span class="p">,</span> <span class="s1">&#39;RENAME_TO&#39;</span><span class="p">]]</span><span class="o">.</span>\
        <span class="n">dropna</span><span class="p">()</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s1">&#39;FIELD&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">squeeze</span><span class="p">()</span><span class="o">.</span><span class="n">to_dict</span><span class="p">()</span>
    
    <span class="n">enem_year</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span>
        <span class="n">index</span><span class="o">=</span><span class="nb">str</span><span class="p">,</span> 
        <span class="n">columns</span><span class="o">=</span><span class="n">new_names</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"># Sampling down to 100000</span>
    <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">enem_year</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">100000</span><span class="p">:</span>
        <span class="n">enem_year</span> <span class="o">=</span> <span class="n">enem_year</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="n">n</span> <span class="o">=</span> <span class="mi">100000</span><span class="p">)</span>
    
    <span class="c1"># Changing fields contents:</span>
    <span class="n">new_values</span> <span class="o">=</span> <span class="n">dicts</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">dicts</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">]</span><span class="o">==</span><span class="n">year</span><span class="p">,</span> <span class="p">[</span><span class="s1">&#39;RENAME_TO&#39;</span><span class="p">,</span> <span class="s1">&#39;CONVERT_TO&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</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">new_values</span><span class="o">.</span><span class="n">iterrows</span><span class="p">():</span>
        <span class="c1"># Converting string representation of a dict to a real dict (be careful and </span>
        <span class="c1">#   check csv file before running!)</span>
        <span class="n">d</span> <span class="o">=</span> <span class="n">ast</span><span class="o">.</span><span class="n">literal_eval</span><span class="p">(</span><span class="n">row</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
        <span class="n">enem_year</span><span class="p">[</span><span class="n">row</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">d</span><span class="o">.</span><span class="n">keys</span><span class="p">(),</span> <span class="n">d</span><span class="o">.</span><span class="n">values</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"># Putting all together</span>
    <span class="n">enem</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">enem</span><span class="p">,</span> <span class="n">enem_year</span><span class="p">],</span> <span class="n">sort</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
    <span class="k">del</span> <span class="n">enem_year</span>

<span class="n">out</span><span class="o">.</span><span class="n">value</span> <span class="o">=</span> <span class="s2">&quot;All data loaded in </span><span class="si">{}</span><span class="s2"> seconds.&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">round</span><span class="p">(</span><span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span> <span class="o">-</span> <span class="n">start_time</span><span class="p">,</span> <span class="mi">2</span><span class="p">))</span>
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<p>Before go on, let's enforce data types:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># First we make a copy of the original field names, new names and their desired types:</span>
<span class="n">ct</span> <span class="o">=</span> <span class="n">dicts</span><span class="p">[[</span><span class="s1">&#39;FIELD&#39;</span><span class="p">,</span> <span class="s1">&#39;RENAME_TO&#39;</span><span class="p">,</span> <span class="s1">&#39;TYPE&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
<span class="c1"># If RENAME_TO is empty, we fill with original field name:</span>
<span class="n">ct</span><span class="p">[</span><span class="s1">&#39;RENAME_TO&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="n">ct</span><span class="p">[</span><span class="s1">&#39;FIELD&#39;</span><span class="p">],</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="c1"># Now FIELD needs to be dropped, and RENAME_TO will be renamed to FIELD</span>
<span class="n">ct</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="s1">&#39;FIELD&#39;</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">ct</span><span class="o">.</span><span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;FIELD&#39;</span><span class="p">,</span> <span class="s1">&#39;TYPE&#39;</span><span class="p">]</span>
<span class="c1"># We just drop the rows that have NaN values.</span>
<span class="c1"># These field types will be guessed at load time and their types are ok:</span>
<span class="n">ct</span><span class="o">.</span><span class="n">dropna</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"># We set the index </span>
<span class="n">ct</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s1">&#39;FIELD&#39;</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="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">ct</span><span class="o">.</span><span class="n">iterrows</span><span class="p">():</span>
    <span class="k">if</span> <span class="n">index</span> <span class="ow">in</span> <span class="n">enem</span><span class="o">.</span><span class="n">columns</span><span class="p">:</span>
        <span class="n">enem</span><span class="p">[</span><span class="n">index</span><span class="p">]</span> <span class="o">=</span> <span class="n">enem</span><span class="p">[</span><span class="n">index</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">row</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
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<p>And save DataFrame in an .hdf5 file in order to reload this data as fast as possible:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">start_time</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>

<span class="n">s</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">HDFStore</span><span class="p">(</span><span class="s1">&#39;enem.h5&#39;</span><span class="p">)</span>
<span class="n">s</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="s1">&#39;enem&#39;</span><span class="p">,</span> <span class="n">enem</span><span class="p">,</span> <span class="nb">format</span><span class="o">=</span><span class="s1">&#39;table&#39;</span><span class="p">,</span> <span class="n">data_columns</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">s</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>

<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;--- </span><span class="si">{}</span><span class="s2"> seconds to save ---&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">round</span><span class="p">(</span><span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span> <span class="o">-</span> <span class="n">start_time</span><span class="p">,</span> <span class="mi">2</span><span class="p">)))</span>
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<pre>--- 93.55 seconds to save ---
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<h2 id="Fast-data-loading">Fast data loading<a class="anchor-link" href="#Fast-data-loading">&#182;</a></h2><p>The entire previous section can be skipped if you just want to access the results. In the file <code>enem.h5</code> are the data of up to 100000 students per year, from the years 1999 to 2008, chosen randomly. Thus, it is possible to skip the slow portion of data load and leave only the part of data analysis and visualization.
To load the data, just enter the following commands:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">import</span> <span class="nn">time</span>
<span class="n">start_time</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>

<span class="n">enem</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_hdf</span><span class="p">(</span><span class="s1">&#39;enem.h5&#39;</span><span class="p">,</span> <span class="s1">&#39;enem&#39;</span><span class="p">)</span>

<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;--- </span><span class="si">{}</span><span class="s2"> seconds to reload ---&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">round</span><span class="p">(</span><span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span> <span class="o">-</span> <span class="n">start_time</span><span class="p">,</span> <span class="mi">2</span><span class="p">)))</span>
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<pre>--- 22.55 seconds to reload ---
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<p>Data will be loaded from the medium directly into the DataFrame. In tests done on a typical computer, comparison between the load speed of the original .csv files and the .h5 file was 80 to 100 times faster.</p>

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<h2 id="Data-analysis">Data analysis<a class="anchor-link" href="#Data-analysis">&#182;</a></h2><h3 id="Difference-of-grades-between-public-and-private-schools">Difference of grades between public and private schools<a class="anchor-link" href="#Difference-of-grades-between-public-and-private-schools">&#182;</a></h3><p>Due to profound social problems in Brazil, we think the first interesting analysis is to observe the difference of grades between public and private schools, as well as the standard deviations of these two schools. Let's look at the differences between multiple choice test and essay scores.</p>
<p>First, from the multiple choice test:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">ppo_mean</span> <span class="o">=</span> <span class="n">enem</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">mean</span><span class="p">()[</span><span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]</span>
<span class="n">ppo_mean_public</span> <span class="o">=</span> <span class="n">ppo_mean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">ppo_mean</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;public&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;public&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">ppo_mean_private</span> <span class="o">=</span> <span class="n">ppo_mean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">ppo_mean</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;private&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;private&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">ppo_std</span> <span class="o">=</span> <span class="n">enem</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">std</span><span class="p">()[</span><span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]</span>
<span class="n">ppo_std_public</span> <span class="o">=</span> <span class="n">ppo_std</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">ppo_std</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;public&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;public&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">ppo_std_private</span> <span class="o">=</span> <span class="n">ppo_std</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">ppo_std</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;private&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;private&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
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<p>By plotting the averages and standard deviations of students in public and private schools, we have:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">mean_std_o</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span>
    <span class="p">{</span><span class="s1">&#39;MEAN_PUBLIC&#39;</span><span class="p">:</span> <span class="n">ppo_mean_public</span><span class="p">,</span> <span class="s1">&#39;MEAN_PRIVATE&#39;</span><span class="p">:</span><span class="n">ppo_mean_private</span><span class="p">,</span> 
     <span class="s1">&#39;STD_PUBLIC&#39;</span><span class="p">:</span> <span class="n">ppo_std_public</span><span class="p">,</span> <span class="s1">&#39;STD_PRIVATE&#39;</span><span class="p">:</span><span class="n">ppo_std_private</span><span class="p">}</span>
<span class="p">)</span>
<span class="n">mean_std_o</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;
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<table border="1" class="dataframe">
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    <tr style="text-align: right;">
      <th></th>
      <th>MEAN_PUBLIC</th>
      <th>MEAN_PRIVATE</th>
      <th>STD_PUBLIC</th>
      <th>STD_PRIVATE</th>
    </tr>
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      <th>YEAR</th>
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      <th>1999</th>
      <td>43.421078</td>
      <td>54.611563</td>
      <td>16.362298</td>
      <td>17.429100</td>
    </tr>
    <tr>
      <th>2000</th>
      <td>48.545539</td>
      <td>57.003091</td>
      <td>18.190014</td>
      <td>18.072709</td>
    </tr>
    <tr>
      <th>2001</th>
      <td>36.144157</td>
      <td>47.681297</td>
      <td>12.326296</td>
      <td>15.975449</td>
    </tr>
    <tr>
      <th>2002</th>
      <td>29.816776</td>
      <td>41.873310</td>
      <td>10.599267</td>
      <td>15.658384</td>
    </tr>
    <tr>
      <th>2003</th>
      <td>43.673948</td>
      <td>59.447216</td>
      <td>17.280009</td>
      <td>19.323924</td>
    </tr>
    <tr>
      <th>2004</th>
      <td>38.031025</td>
      <td>55.781753</td>
      <td>15.299977</td>
      <td>20.014123</td>
    </tr>
    <tr>
      <th>2005</th>
      <td>36.046699</td>
      <td>47.931261</td>
      <td>13.728776</td>
      <td>18.634165</td>
    </tr>
    <tr>
      <th>2006</th>
      <td>34.922681</td>
      <td>50.577074</td>
      <td>11.571798</td>
      <td>16.533123</td>
    </tr>
    <tr>
      <th>2007</th>
      <td>47.869393</td>
      <td>65.006827</td>
      <td>15.321747</td>
      <td>17.975047</td>
    </tr>
    <tr>
      <th>2008</th>
      <td>39.477474</td>
      <td>56.861266</td>
      <td>13.376375</td>
      <td>16.755832</td>
    </tr>
  </tbody>
</table>
</div>
</div>

</div>

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<div class="prompt input_prompt">In&nbsp;[8]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span> 
<span class="o">%</span><span class="k">matplotlib</span> inline

<span class="n">mean_std_o</span><span class="o">.</span><span class="n">reset_index</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">mean_std_o</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">mean_std_o</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">int</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;MEAN_PUBLIC&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">mean_std_o</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;blue&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;MEAN_PRIVATE&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">mean_std_o</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;blue&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">linestyle</span><span class="o">=</span><span class="s1">&#39;dashed&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;STD_PUBLIC&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">mean_std_o</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;olive&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;STD_PRIVATE&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">mean_std_o</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;olive&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">linestyle</span><span class="o">=</span><span class="s1">&#39;dashed&#39;</span><span class="p">)</span>

<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
</pre></div>

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    <div class="prompt output_prompt">Out[8]:</div>


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<pre>&lt;matplotlib.legend.Legend at 0x7f3d4cf073c8&gt;</pre>
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<p>We can observe in this analysis that the scores of the public and private schools have the same "drawing" and are spaced in a more or less constant form. To check this phenomenon, let's construct a column of difference between the notes and plot your chart:</p>

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<div class="prompt input_prompt">In&nbsp;[9]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">mean_std_o</span><span class="p">[</span><span class="s1">&#39;DIFF&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">mean_std_o</span><span class="p">[</span><span class="s1">&#39;MEAN_PRIVATE&#39;</span><span class="p">]</span> <span class="o">-</span> <span class="n">mean_std_o</span><span class="p">[</span><span class="s1">&#39;MEAN_PUBLIC&#39;</span><span class="p">]</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;DIFF&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">mean_std_o</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;blue&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
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<pre>[&lt;matplotlib.lines.Line2D at 0x7f3d4cfc75f8&gt;]</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">mean_std_o</span><span class="p">[</span><span class="s1">&#39;DIFF&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">max</span><span class="p">()</span>
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<pre>17.75072733327714</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">mean_std_o</span><span class="p">[</span><span class="s1">&#39;DIFF&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">min</span><span class="p">()</span>
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<pre>8.457552896753057</pre>
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<p>Now, let's do the same to essay scores:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">ppe_mean</span> <span class="o">=</span> <span class="n">enem</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">mean</span><span class="p">()[</span><span class="s1">&#39;ESSAY_SCORE&#39;</span><span class="p">]</span>
<span class="n">ppe_mean_public</span> <span class="o">=</span> <span class="n">ppe_mean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">ppe_mean</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;public&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;public&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">ppe_mean_private</span> <span class="o">=</span> <span class="n">ppe_mean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">ppe_mean</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;private&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;private&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">ppe_std</span> <span class="o">=</span> <span class="n">enem</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">std</span><span class="p">()[</span><span class="s1">&#39;ESSAY_SCORE&#39;</span><span class="p">]</span>
<span class="n">ppe_std_public</span> <span class="o">=</span> <span class="n">ppe_std</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">ppe_std</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;public&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;public&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">ppe_std_private</span> <span class="o">=</span> <span class="n">ppe_std</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">ppe_std</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;private&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;private&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">mean_std_e</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span>
    <span class="p">{</span><span class="s1">&#39;MEAN_PUBLIC&#39;</span><span class="p">:</span> <span class="n">ppe_mean_public</span><span class="p">,</span> <span class="s1">&#39;MEAN_PRIVATE&#39;</span><span class="p">:</span><span class="n">ppe_mean_private</span><span class="p">,</span> 
     <span class="s1">&#39;STD_PUBLIC&#39;</span><span class="p">:</span> <span class="n">ppe_std_public</span><span class="p">,</span> <span class="s1">&#39;STD_PRIVATE&#39;</span><span class="p">:</span><span class="n">ppe_std_private</span><span class="p">}</span>
<span class="p">)</span>
<span class="n">mean_std_e</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 {
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>MEAN_PUBLIC</th>
      <th>MEAN_PRIVATE</th>
      <th>STD_PUBLIC</th>
      <th>STD_PRIVATE</th>
    </tr>
    <tr>
      <th>YEAR</th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>1999</th>
      <td>41.852936</td>
      <td>48.580293</td>
      <td>22.561681</td>
      <td>23.061552</td>
    </tr>
    <tr>
      <th>2000</th>
      <td>54.001700</td>
      <td>55.296372</td>
      <td>21.649851</td>
      <td>23.545837</td>
    </tr>
    <tr>
      <th>2001</th>
      <td>47.766693</td>
      <td>53.629413</td>
      <td>17.814134</td>
      <td>20.693039</td>
    </tr>
    <tr>
      <th>2002</th>
      <td>49.055042</td>
      <td>54.059500</td>
      <td>17.958081</td>
      <td>21.969717</td>
    </tr>
    <tr>
      <th>2003</th>
      <td>47.585288</td>
      <td>51.420263</td>
      <td>20.764072</td>
      <td>25.985926</td>
    </tr>
    <tr>
      <th>2004</th>
      <td>36.974702</td>
      <td>48.505747</td>
      <td>25.484605</td>
      <td>27.964092</td>
    </tr>
    <tr>
      <th>2005</th>
      <td>52.939522</td>
      <td>53.942982</td>
      <td>17.537182</td>
      <td>22.814929</td>
    </tr>
    <tr>
      <th>2006</th>
      <td>50.389122</td>
      <td>54.215586</td>
      <td>19.040550</td>
      <td>22.969008</td>
    </tr>
    <tr>
      <th>2007</th>
      <td>53.769430</td>
      <td>60.500689</td>
      <td>15.593211</td>
      <td>16.558895</td>
    </tr>
    <tr>
      <th>2008</th>
      <td>57.677200</td>
      <td>62.530354</td>
      <td>14.822475</td>
      <td>18.419045</td>
    </tr>
  </tbody>
</table>
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<div class="prompt input_prompt">In&nbsp;[15]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">mean_std_e</span><span class="o">.</span><span class="n">reset_index</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">mean_std_e</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">mean_std_e</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">int</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;MEAN_PUBLIC&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">mean_std_e</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;blue&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;MEAN_PRIVATE&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">mean_std_e</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;blue&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">linestyle</span><span class="o">=</span><span class="s1">&#39;dashed&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;STD_PUBLIC&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">mean_std_e</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;olive&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;STD_PRIVATE&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">mean_std_e</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;olive&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">linestyle</span><span class="o">=</span><span class="s1">&#39;dashed&#39;</span><span class="p">)</span>

<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
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<pre>&lt;matplotlib.legend.Legend at 0x7f3d4d06a0b8&gt;</pre>
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<p>It was noted that the behavior of the private school grades was higher, but there were large differences between the differences in school grades, noting the great difference in 2004, with a high standard deviation, both for public schools and individuals.</p>

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<h3 id="Difference-of-notes-regarding-infrastructure-and-basic-sanitation">Difference of notes regarding infrastructure and basic sanitation<a class="anchor-link" href="#Difference-of-notes-regarding-infrastructure-and-basic-sanitation">&#182;</a></h3><p>Let's compare now, using the same data, two different extracts: students living in homes with tap water and electricity and students who do not have tap water and electricity at home.</p>
<p>First let's bring together all the students who have both resources:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">we_mean</span> <span class="o">=</span> <span class="n">enem</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;TAP_WATER&#39;</span><span class="p">,</span> <span class="s1">&#39;ELECTRIFIED_HOME&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">mean</span><span class="p">()[</span><span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]</span>
<span class="n">we_mean_both</span> <span class="o">=</span> <span class="n">we_mean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span>
    <span class="p">(</span><span class="n">we_mean</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;TAP_WATER&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;yes&#39;</span><span class="p">)</span> <span class="o">&amp;</span> 
    <span class="p">(</span><span class="n">we_mean</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;ELECTRIFIED_HOME&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;yes&#39;</span><span class="p">)</span>
<span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;yes&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;yes&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">we_mean_none</span> <span class="o">=</span> <span class="n">we_mean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span>
    <span class="p">(</span><span class="n">we_mean</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;TAP_WATER&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;no&#39;</span><span class="p">)</span> <span class="o">&amp;</span> 
    <span class="p">(</span><span class="n">we_mean</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;ELECTRIFIED_HOME&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;no&#39;</span><span class="p">)</span>
<span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;no&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;no&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">we_mean_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span>
    <span class="p">{</span><span class="s1">&#39;MEAN_BOTH&#39;</span><span class="p">:</span> <span class="n">we_mean_both</span><span class="p">,</span> <span class="s1">&#39;MEAN_NONE&#39;</span><span class="p">:</span><span class="n">we_mean_none</span><span class="p">}</span>
<span class="p">)</span>
<span class="n">we_mean_df</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
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<table border="1" class="dataframe">
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      <th></th>
      <th>MEAN_BOTH</th>
      <th>MEAN_NONE</th>
    </tr>
    <tr>
      <th>YEAR</th>
      <th></th>
      <th></th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>1999</th>
      <td>47.110741</td>
      <td>44.661204</td>
    </tr>
    <tr>
      <th>2000</th>
      <td>51.184570</td>
      <td>49.398145</td>
    </tr>
    <tr>
      <th>2001</th>
      <td>37.817669</td>
      <td>32.638472</td>
    </tr>
    <tr>
      <th>2002</th>
      <td>31.409227</td>
      <td>26.360778</td>
    </tr>
    <tr>
      <th>2003</th>
      <td>46.227707</td>
      <td>39.414856</td>
    </tr>
    <tr>
      <th>2004</th>
      <td>40.470997</td>
      <td>34.972897</td>
    </tr>
    <tr>
      <th>2005</th>
      <td>37.043010</td>
      <td>30.969300</td>
    </tr>
    <tr>
      <th>2006</th>
      <td>37.274898</td>
      <td>30.088836</td>
    </tr>
    <tr>
      <th>2007</th>
      <td>49.812652</td>
      <td>41.459613</td>
    </tr>
    <tr>
      <th>2008</th>
      <td>42.317030</td>
      <td>35.713972</td>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">we_mean_df</span><span class="o">.</span><span class="n">reset_index</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">we_mean_df</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">we_mean_df</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">int</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;MEAN_BOTH&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">we_mean_df</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;blue&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;MEAN_NONE&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">we_mean_df</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;olive&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>

<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
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<pre>&lt;matplotlib.legend.Legend at 0x7f3d4d12a0b8&gt;</pre>
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<h3 id="Difference-in-relation-to-total-family-income">Difference in relation to total family income<a class="anchor-link" href="#Difference-in-relation-to-total-family-income">&#182;</a></h3><p>Another interesting analysis is to measure the average grade as a function of total family income. The total monthly family income was organized into 8 bands: 1 minimum wage or less; 1 to 2 minimum wages; 2 to 5 minimum wages; 5 to 10 minimum wages; 10 to 30 minimum wages; 30 to 50 minimum wages; more than 50 minimum wages; and no monthly income:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">inc_mean</span> <span class="o">=</span> <span class="n">enem</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">mean</span><span class="p">()[</span><span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]</span>
<span class="n">inc_mean_A</span> <span class="o">=</span> <span class="n">inc_mean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">inc_mean</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;A_1_MW_or_less&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;A_1_MW_or_less&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">inc_mean_B</span> <span class="o">=</span> <span class="n">inc_mean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">inc_mean</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;B_1_to_2_MW&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;B_1_to_2_MW&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">inc_mean_C</span> <span class="o">=</span> <span class="n">inc_mean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">inc_mean</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;C_2_to_5_MW&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;C_2_to_5_MW&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">inc_mean_D</span> <span class="o">=</span> <span class="n">inc_mean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">inc_mean</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;D_5_to_10_MW&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;D_5_to_10_MW&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">inc_mean_E</span> <span class="o">=</span> <span class="n">inc_mean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">inc_mean</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;E_10_to_30_MW&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;E_10_to_30_MW&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">inc_mean_F</span> <span class="o">=</span> <span class="n">inc_mean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">inc_mean</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;F_30_to_50_MW&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;F_30_to_50_MW&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">inc_mean_G</span> <span class="o">=</span> <span class="n">inc_mean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">inc_mean</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;G_50+_MW&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;G_50+_MW&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">inc_mean_H</span> <span class="o">=</span> <span class="n">inc_mean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">inc_mean</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;H_no_income&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;H_no_income&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">inc_mean_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span>
    <span class="p">{</span><span class="s1">&#39;A_1_MW_or_less&#39;</span><span class="p">:</span> <span class="n">inc_mean_A</span><span class="p">,</span> <span class="s1">&#39;B_1_to_2_MW&#39;</span><span class="p">:</span><span class="n">inc_mean_B</span><span class="p">,</span> 
     <span class="s1">&#39;C_2_to_5_MW&#39;</span><span class="p">:</span> <span class="n">inc_mean_C</span><span class="p">,</span> <span class="s1">&#39;D_5_to_10_MW&#39;</span><span class="p">:</span><span class="n">inc_mean_D</span><span class="p">,</span> 
     <span class="s1">&#39;E_10_to_30_MW&#39;</span><span class="p">:</span> <span class="n">inc_mean_E</span><span class="p">,</span> <span class="s1">&#39;F_30_to_50_MW&#39;</span><span class="p">:</span><span class="n">inc_mean_F</span><span class="p">,</span> 
     <span class="s1">&#39;G_50+_MW&#39;</span><span class="p">:</span> <span class="n">inc_mean_G</span><span class="p">,</span> <span class="s1">&#39;H_no_income&#39;</span><span class="p">:</span><span class="n">inc_mean_H</span><span class="p">}</span>
<span class="p">)</span>
<span class="n">inc_mean_df</span>
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>A_1_MW_or_less</th>
      <th>B_1_to_2_MW</th>
      <th>C_2_to_5_MW</th>
      <th>D_5_to_10_MW</th>
      <th>E_10_to_30_MW</th>
      <th>F_30_to_50_MW</th>
      <th>G_50+_MW</th>
      <th>H_no_income</th>
    </tr>
    <tr>
      <th>YEAR</th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>1999</th>
      <td>33.968140</td>
      <td>36.554268</td>
      <td>41.410276</td>
      <td>47.226818</td>
      <td>53.802565</td>
      <td>57.881187</td>
      <td>58.774203</td>
      <td>44.168856</td>
    </tr>
    <tr>
      <th>2000</th>
      <td>36.457261</td>
      <td>38.041872</td>
      <td>45.433937</td>
      <td>51.942112</td>
      <td>57.945445</td>
      <td>61.018604</td>
      <td>59.859634</td>
      <td>45.967342</td>
    </tr>
    <tr>
      <th>2001</th>
      <td>30.640216</td>
      <td>33.341829</td>
      <td>37.314053</td>
      <td>41.008144</td>
      <td>46.642202</td>
      <td>50.436142</td>
      <td>50.938898</td>
      <td>32.347530</td>
    </tr>
    <tr>
      <th>2002</th>
      <td>25.951000</td>
      <td>27.887710</td>
      <td>31.288648</td>
      <td>34.886380</td>
      <td>40.368790</td>
      <td>43.573502</td>
      <td>44.366829</td>
      <td>26.640386</td>
    </tr>
    <tr>
      <th>2003</th>
      <td>34.953358</td>
      <td>40.429991</td>
      <td>48.886515</td>
      <td>55.077630</td>
      <td>61.693604</td>
      <td>63.260614</td>
      <td>57.220432</td>
      <td>35.175571</td>
    </tr>
    <tr>
      <th>2004</th>
      <td>31.229182</td>
      <td>35.502523</td>
      <td>42.161082</td>
      <td>47.785604</td>
      <td>54.412509</td>
      <td>54.241201</td>
      <td>50.907652</td>
      <td>32.105335</td>
    </tr>
    <tr>
      <th>2005</th>
      <td>30.073298</td>
      <td>34.296858</td>
      <td>39.887689</td>
      <td>44.139720</td>
      <td>50.406092</td>
      <td>47.345833</td>
      <td>46.940305</td>
      <td>28.725878</td>
    </tr>
    <tr>
      <th>2006</th>
      <td>30.929945</td>
      <td>34.203323</td>
      <td>38.757741</td>
      <td>44.976785</td>
      <td>54.519120</td>
      <td>57.727555</td>
      <td>52.297337</td>
      <td>30.517723</td>
    </tr>
    <tr>
      <th>2007</th>
      <td>42.222302</td>
      <td>47.263009</td>
      <td>53.712815</td>
      <td>59.654524</td>
      <td>69.200712</td>
      <td>71.510000</td>
      <td>59.477701</td>
      <td>39.718785</td>
    </tr>
    <tr>
      <th>2008</th>
      <td>34.166731</td>
      <td>38.455831</td>
      <td>44.678873</td>
      <td>52.461760</td>
      <td>61.050033</td>
      <td>64.236391</td>
      <td>57.220257</td>
      <td>32.648478</td>
    </tr>
  </tbody>
</table>
</div>
</div>

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<div class="prompt input_prompt">In&nbsp;[21]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_tmp</span> <span class="o">=</span> <span class="n">inc_mean_df</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()</span>
<span class="n">df_tmp</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df_tmp</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">int</span><span class="p">)</span>

<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;A_1_MW_or_less&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">df_tmp</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;blue&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;B_1_to_2_MW&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">df_tmp</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;olive&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;C_2_to_5_MW&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">df_tmp</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;green&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;D_5_to_10_MW&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">df_tmp</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;red&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;E_10_to_30_MW&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">df_tmp</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;cyan&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;F_30_to_50_MW&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">df_tmp</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;magenta&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;G_50+_MW&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">df_tmp</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;navy&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;H_no_income&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">df_tmp</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;black&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
</pre></div>

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<pre>&lt;matplotlib.legend.Legend at 0x7f3d4d245a58&gt;</pre>
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<h2 id="Difference-regarding-preparatory-course">Difference regarding preparatory course<a class="anchor-link" href="#Difference-regarding-preparatory-course">&#182;</a></h2><p>Another aspect to consider is to verify if the candidate attended a preparatory course in the year of the exam:</p>

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<div class="prompt input_prompt">In&nbsp;[111]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pc_mean</span> <span class="o">=</span> <span class="n">enem</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;CURRENTY_PREP_COURSE&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">mean</span><span class="p">()[</span><span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]</span>
<span class="n">pc_mean_yes</span> <span class="o">=</span> <span class="n">pc_mean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span>
    <span class="n">pc_mean</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;CURRENTY_PREP_COURSE&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;yes&#39;</span>
<span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;yes&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
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<div class="prompt input_prompt">In&nbsp;[112]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pc_mean_no</span> <span class="o">=</span> <span class="n">pc_mean</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span>
    <span class="n">pc_mean</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;CURRENTY_PREP_COURSE&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;no&#39;</span>
<span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;no&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
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<div class="prompt input_prompt">In&nbsp;[113]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pc_mean_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span>
    <span class="p">{</span><span class="s1">&#39;yes&#39;</span><span class="p">:</span> <span class="n">pc_mean_yes</span><span class="p">,</span> <span class="s1">&#39;no&#39;</span><span class="p">:</span><span class="n">pc_mean_no</span><span class="p">}</span>
<span class="p">)</span>
<span class="n">pc_mean_df</span>
</pre></div>

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    <div class="prompt output_prompt">Out[113]:</div>


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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>yes</th>
      <th>no</th>
    </tr>
    <tr>
      <th>YEAR</th>
      <th></th>
      <th></th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>1999</th>
      <td>45.997518</td>
      <td>44.521377</td>
    </tr>
    <tr>
      <th>2000</th>
      <td>53.784133</td>
      <td>43.348239</td>
    </tr>
    <tr>
      <th>2001</th>
      <td>37.014521</td>
      <td>39.725550</td>
    </tr>
    <tr>
      <th>2002</th>
      <td>35.805411</td>
      <td>30.407299</td>
    </tr>
    <tr>
      <th>2003</th>
      <td>52.035079</td>
      <td>41.015679</td>
    </tr>
    <tr>
      <th>2004</th>
      <td>47.733150</td>
      <td>36.108457</td>
    </tr>
    <tr>
      <th>2005</th>
      <td>40.516131</td>
      <td>35.455183</td>
    </tr>
    <tr>
      <th>2006</th>
      <td>42.039371</td>
      <td>35.327378</td>
    </tr>
    <tr>
      <th>2007</th>
      <td>51.622581</td>
      <td>48.243659</td>
    </tr>
    <tr>
      <th>2008</th>
      <td>46.994654</td>
      <td>40.334809</td>
    </tr>
  </tbody>
</table>
</div>
</div>

</div>

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<div class="prompt input_prompt">In&nbsp;[114]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pc_mean_df</span><span class="o">.</span><span class="n">reset_index</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">pc_mean_df</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">pc_mean_df</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">int</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;yes&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">pc_mean_df</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;blue&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;no&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">pc_mean_df</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;olive&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
</pre></div>

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<pre>&lt;matplotlib.legend.Legend at 0x7f3d6484ac18&gt;</pre>
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<h3 id="Comparing-income-bands-and-performance-of-students-in-public-and-private-schools">Comparing income bands and performance of students in public and private schools<a class="anchor-link" href="#Comparing-income-bands-and-performance-of-students-in-public-and-private-schools">&#182;</a></h3><p>An interesting thing to do is to calculate how many students, within your monthly income band, are in public or private school, and how many of these are above the average of your own range.</p>
<p>First we count how many students have each income band in each year:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">qty_per_year</span> <span class="o">=</span> <span class="n">enem</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">,</span> <span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">count</span><span class="p">()[</span><span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]</span>
<span class="n">qty_priv_per_year</span> <span class="o">=</span> <span class="n">qty_per_year</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">qty_per_year</span><span class="o">.</span><span class="n">index</span><span class="o">.</span>\
    <span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;private&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;private&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">int</span><span class="p">)</span>
<span class="n">qty_priv_per_year</span> <span class="o">=</span> <span class="n">qty_priv_per_year</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">qty_priv_per_year</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">)</span> <span class="o">!=</span> <span class="s1">&#39;*&#39;</span><span class="p">]</span>
<span class="n">qty_priv_per_year</span> <span class="o">=</span> <span class="n">qty_priv_per_year</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="s1">&#39;TOTAL_PRIVATE&#39;</span><span class="p">)</span>

<span class="n">qty_pub_per_year</span> <span class="o">=</span> <span class="n">qty_per_year</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">qty_per_year</span><span class="o">.</span><span class="n">index</span><span class="o">.</span>\
    <span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;public&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;public&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">int</span><span class="p">)</span>
<span class="n">qty_pub_per_year</span> <span class="o">=</span> <span class="n">qty_pub_per_year</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">qty_pub_per_year</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">)</span> <span class="o">!=</span> <span class="s1">&#39;*&#39;</span><span class="p">]</span>
<span class="n">qty_pub_per_year</span> <span class="o">=</span> <span class="n">qty_pub_per_year</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="s1">&#39;TOTAL_PUBLIC&#39;</span><span class="p">)</span>
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<pre>YEAR  FAMILY_INCOME 
1999  A_1_MW_or_less     1409
      B_1_to_2_MW        6656
      C_2_to_5_MW       21275
      D_5_to_10_MW      21395
      E_10_to_30_MW     10491
Name: TOTAL_PUBLIC, dtype: int64</pre>
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<p>Then we take the average score for each income band per year:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">inc_mean_per_year</span> <span class="o">=</span> <span class="n">inc_mean_df</span><span class="o">.</span><span class="n">stack</span><span class="p">()</span>
<span class="n">inc_mean_per_year</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">names</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">]</span>
<span class="n">inc_mean_per_year</span> <span class="o">=</span> <span class="n">inc_mean_per_year</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="s2">&quot;MEAN_GRADE&quot;</span><span class="p">)</span>
<span class="n">inc_mean_per_year</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<pre>YEAR  FAMILY_INCOME 
1999  A_1_MW_or_less    33.968140
      B_1_to_2_MW       36.554268
      C_2_to_5_MW       41.410276
      D_5_to_10_MW      47.226818
      E_10_to_30_MW     53.802565
Name: MEAN_GRADE, dtype: float64</pre>
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<p>Then we count only the students whose score in the multiple choice test was higher than the average of the income band, taking into account whether the school is public or private:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">enem_inc_public</span> <span class="o">=</span> <span class="n">enem</span><span class="p">[</span><span class="n">enem</span><span class="p">[</span><span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;public&#39;</span><span class="p">][[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">,</span> <span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]]</span>
<span class="n">enem_inc_public</span> <span class="o">=</span> <span class="n">enem_inc_public</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">inc_mean_per_year</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">&#39;left&#39;</span><span class="p">,</span> <span class="n">on</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">])</span>
<span class="n">qty_enem_inc_public</span> <span class="o">=</span> <span class="n">enem_inc_public</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">enem_inc_public</span><span class="p">[</span><span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]</span> <span class="o">&gt;</span> <span class="n">enem_inc_public</span><span class="p">[</span><span class="s1">&#39;MEAN_GRADE&#39;</span><span class="p">]]</span><span class="o">.</span>\
    <span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">count</span><span class="p">()[</span><span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]</span>
<span class="n">qty_enem_inc_public</span> <span class="o">=</span> <span class="n">qty_enem_inc_public</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="s1">&#39;COUNT_PUBLIC_ABOVE_MEAN&#39;</span><span class="p">)</span>

<span class="n">enem_inc_private</span> <span class="o">=</span> <span class="n">enem</span><span class="p">[</span><span class="n">enem</span><span class="p">[</span><span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;private&#39;</span><span class="p">][[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">,</span> <span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]]</span>
<span class="n">enem_inc_private</span> <span class="o">=</span> <span class="n">enem_inc_private</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">inc_mean_per_year</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">&#39;left&#39;</span><span class="p">,</span> <span class="n">on</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">])</span>
<span class="n">qty_enem_inc_private</span> <span class="o">=</span> <span class="n">enem_inc_private</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">enem_inc_private</span><span class="p">[</span><span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]</span> <span class="o">&gt;</span> <span class="n">enem_inc_private</span><span class="p">[</span><span class="s1">&#39;MEAN_GRADE&#39;</span><span class="p">]]</span><span class="o">.</span>\
    <span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">count</span><span class="p">()[</span><span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]</span>
<span class="n">qty_enem_inc_private</span> <span class="o">=</span> <span class="n">qty_enem_inc_private</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="s1">&#39;COUNT_PRIVATE_ABOVE_MEAN&#39;</span><span class="p">)</span>

<span class="n">qty_enem_inc_public</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<pre>YEAR  FAMILY_INCOME 
1999  A_1_MW_or_less     537
      B_1_to_2_MW       2537
      C_2_to_5_MW       8527
      D_5_to_10_MW      9096
      E_10_to_30_MW     4589
Name: COUNT_PUBLIC_ABOVE_MEAN, dtype: int64</pre>
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<p>Now we put them together and show the percentage:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">priv_per_year</span> <span class="o">=</span> <span class="n">qty_priv_per_year</span><span class="o">.</span><span class="n">to_frame</span><span class="p">()</span><span class="o">.</span>\
    <span class="n">merge</span><span class="p">(</span><span class="n">qty_enem_inc_private</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">&#39;left&#39;</span><span class="p">,</span> <span class="n">on</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</span>
<span class="n">priv_per_year</span><span class="p">[</span><span class="s1">&#39;COUNT_PRIVATE_ABOVE_MEAN&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">priv_per_year</span><span class="p">[</span><span class="s1">&#39;COUNT_PRIVATE_ABOVE_MEAN&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">int</span><span class="p">)</span>
<span class="n">priv_per_year</span><span class="p">[</span><span class="s1">&#39;PER_PRIV_ABOVE_MEAN&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">priv_per_year</span><span class="p">[</span><span class="s1">&#39;COUNT_PRIVATE_ABOVE_MEAN&#39;</span><span class="p">]</span> <span class="o">*</span> <span class="mi">100</span><span class="p">)</span><span class="o">/</span> <span class="n">priv_per_year</span><span class="p">[</span><span class="s1">&#39;TOTAL_PRIVATE&#39;</span><span class="p">]</span>
<span class="n">priv_per_year</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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      <th></th>
      <th></th>
      <th>TOTAL_PRIVATE</th>
      <th>COUNT_PRIVATE_ABOVE_MEAN</th>
      <th>PER_PRIV_ABOVE_MEAN</th>
    </tr>
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      <th>YEAR</th>
      <th>FAMILY_INCOME</th>
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      <th rowspan="5" valign="top">1999</th>
      <th>A_1_MW_or_less</th>
      <td>125</td>
      <td>75</td>
      <td>60.000000</td>
    </tr>
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      <th>B_1_to_2_MW</th>
      <td>542</td>
      <td>302</td>
      <td>55.719557</td>
    </tr>
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      <th>C_2_to_5_MW</th>
      <td>3113</td>
      <td>1801</td>
      <td>57.854160</td>
    </tr>
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      <th>D_5_to_10_MW</th>
      <td>7284</td>
      <td>4324</td>
      <td>59.362987</td>
    </tr>
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      <th>E_10_to_30_MW</th>
      <td>10617</td>
      <td>6151</td>
      <td>57.935387</td>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pub_per_year</span> <span class="o">=</span> <span class="n">qty_pub_per_year</span><span class="o">.</span><span class="n">to_frame</span><span class="p">()</span><span class="o">.</span>\
    <span class="n">merge</span><span class="p">(</span><span class="n">qty_enem_inc_public</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">&#39;left&#39;</span><span class="p">,</span> <span class="n">on</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</span>
<span class="n">pub_per_year</span><span class="p">[</span><span class="s1">&#39;COUNT_PUBLIC_ABOVE_MEAN&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">pub_per_year</span><span class="p">[</span><span class="s1">&#39;COUNT_PUBLIC_ABOVE_MEAN&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">int</span><span class="p">)</span>
<span class="n">pub_per_year</span><span class="p">[</span><span class="s1">&#39;PER_PUB_ABOVE_MEAN&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">pub_per_year</span><span class="p">[</span><span class="s1">&#39;COUNT_PUBLIC_ABOVE_MEAN&#39;</span><span class="p">]</span> <span class="o">*</span> <span class="mi">100</span><span class="p">)</span><span class="o">/</span> <span class="n">pub_per_year</span><span class="p">[</span><span class="s1">&#39;TOTAL_PUBLIC&#39;</span><span class="p">]</span>
<span class="n">pub_per_year</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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      <th></th>
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      <th>TOTAL_PUBLIC</th>
      <th>COUNT_PUBLIC_ABOVE_MEAN</th>
      <th>PER_PUB_ABOVE_MEAN</th>
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      <th>YEAR</th>
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      <th rowspan="5" valign="top">1999</th>
      <th>A_1_MW_or_less</th>
      <td>1409</td>
      <td>537</td>
      <td>38.112136</td>
    </tr>
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      <th>B_1_to_2_MW</th>
      <td>6656</td>
      <td>2537</td>
      <td>38.115986</td>
    </tr>
    <tr>
      <th>C_2_to_5_MW</th>
      <td>21275</td>
      <td>8527</td>
      <td>40.079906</td>
    </tr>
    <tr>
      <th>D_5_to_10_MW</th>
      <td>21395</td>
      <td>9096</td>
      <td>42.514606</td>
    </tr>
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      <th>E_10_to_30_MW</th>
      <td>10491</td>
      <td>4589</td>
      <td>43.742255</td>
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<p>Let's now take each of the income bands and show the proportion of candidates each year by school type:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">mean_per_year</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">()</span>
<span class="n">mean_per_year</span><span class="p">[</span><span class="s1">&#39;PER_PUB_ABOVE_MEAN&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">pub_per_year</span><span class="p">[</span><span class="s1">&#39;PER_PUB_ABOVE_MEAN&#39;</span><span class="p">]</span>
<span class="n">mean_per_year</span><span class="p">[</span><span class="s1">&#39;PER_PRIV_ABOVE_MEAN&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">priv_per_year</span><span class="p">[</span><span class="s1">&#39;PER_PRIV_ABOVE_MEAN&#39;</span><span class="p">]</span>

<span class="n">df_A</span> <span class="o">=</span> <span class="n">mean_per_year</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">mean_per_year</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;A_1_MW_or_less&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;A_1_MW_or_less&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">df_B</span> <span class="o">=</span> <span class="n">mean_per_year</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">mean_per_year</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;B_1_to_2_MW&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;B_1_to_2_MW&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">df_C</span> <span class="o">=</span> <span class="n">mean_per_year</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">mean_per_year</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;C_2_to_5_MW&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;C_2_to_5_MW&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">df_D</span> <span class="o">=</span> <span class="n">mean_per_year</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">mean_per_year</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;D_5_to_10_MW&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;D_5_to_10_MW&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">df_E</span> <span class="o">=</span> <span class="n">mean_per_year</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">mean_per_year</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;E_10_to_30_MW&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;E_10_to_30_MW&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">df_F</span> <span class="o">=</span> <span class="n">mean_per_year</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">mean_per_year</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;F_30_to_50_MW&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;F_30_to_50_MW&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">df_G</span> <span class="o">=</span> <span class="n">mean_per_year</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">mean_per_year</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;G_50+_MW&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;G_50+_MW&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">df_H</span> <span class="o">=</span> <span class="n">mean_per_year</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">mean_per_year</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;FAMILY_INCOME&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;H_no_income&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;H_no_income&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="o">%</span><span class="k">matplotlib</span> inline

<span class="n">df_A</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;bar&#39;</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="s2">&quot;1 Minimum Wage or less per month&quot;</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f3d4d219940&gt;</pre>
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<div class="cell border-box-sizing code_cell rendered">
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<div class="prompt input_prompt">In&nbsp;[29]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_B</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;bar&#39;</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="s2">&quot;From 1 to 2 Minimum Wages per month&quot;</span><span class="p">)</span>
</pre></div>

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    <div class="prompt output_prompt">Out[29]:</div>


<div class="output_text output_subarea output_execute_result">
<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f3d4d3a62b0&gt;</pre>
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    <div class="prompt"></div>


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<div class="prompt input_prompt">In&nbsp;[30]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_C</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;bar&#39;</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="s2">&quot;From 2 to 5 Minimum Wages per month&quot;</span><span class="p">)</span>
</pre></div>

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    <div class="prompt output_prompt">Out[30]:</div>


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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f3d65ff1080&gt;</pre>
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    <div class="prompt"></div>


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<img 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<div class="prompt input_prompt">In&nbsp;[31]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_D</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;bar&#39;</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="s2">&quot;From 5 to 10 Minimum Wages per month&quot;</span><span class="p">)</span>
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    <div class="prompt output_prompt">Out[31]:</div>


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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f3d65f8a358&gt;</pre>
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<div class="prompt input_prompt">In&nbsp;[32]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_E</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;bar&#39;</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="s2">&quot;From 10 to 30 Minimum Wages per month&quot;</span><span class="p">)</span>
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    <div class="prompt output_prompt">Out[32]:</div>


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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f3d65e9db00&gt;</pre>
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>
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<div class="cell border-box-sizing code_cell rendered">
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<div class="prompt input_prompt">In&nbsp;[33]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_F</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;bar&#39;</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="s2">&quot;From 30 to 50 Minimum Wages per month&quot;</span><span class="p">)</span>
</pre></div>

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    <div class="prompt output_prompt">Out[33]:</div>


<div class="output_text output_subarea output_execute_result">
<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f3d65e239e8&gt;</pre>
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    <div class="prompt"></div>


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>
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<div class="prompt input_prompt">In&nbsp;[34]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_G</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;bar&#39;</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="s2">&quot;More than 50 Minimum Wages per month&quot;</span><span class="p">)</span>
</pre></div>

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    <div class="prompt output_prompt">Out[34]:</div>


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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f3d65daad30&gt;</pre>
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    <div class="prompt"></div>


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<p>It is interesting to note that, regardless of the student's income band, proportionately more students from private schools had an objective test score above average.</p>

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<h3 id="Comparing-parental-schooling-and-performance-of-public-and-private-school-students">Comparing parental schooling and performance of public and private school students<a class="anchor-link" href="#Comparing-parental-schooling-and-performance-of-public-and-private-school-students">&#182;</a></h3><p>Another interesting thing to do is to use the same methodology to compare the average score of students whose parents have higher education and whose both parents do not have and compare their respective performances above or below average with the fact that they studied in public schools or private.</p>
<p>First we take the average of each year and we group with respect to the two parents have higher education and the two do not have:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">mask_parents_education</span> <span class="o">=</span> <span class="p">((</span><span class="n">enem</span><span class="p">[</span><span class="s1">&#39;FATHER_SCHOOLING&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;G-complete_higher_education&#39;</span><span class="p">)</span> <span class="o">|</span> \
      <span class="p">(</span><span class="n">enem</span><span class="p">[</span><span class="s1">&#39;FATHER_SCHOOLING&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;H-postgraduate&#39;</span><span class="p">))</span> <span class="o">&amp;</span> \
     <span class="p">((</span><span class="n">enem</span><span class="p">[</span><span class="s1">&#39;MOTHER_SCHOOLING&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;G-complete_higher_education&#39;</span><span class="p">)</span> <span class="o">|</span> \
      <span class="p">(</span><span class="n">enem</span><span class="p">[</span><span class="s1">&#39;MOTHER_SCHOOLING&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;H-postgraduate&#39;</span><span class="p">))</span>

<span class="n">mean_education_both</span> <span class="o">=</span> <span class="n">enem</span><span class="p">[[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">mask_parents_education</span><span class="p">]</span>
<span class="n">mean_education_both</span> <span class="o">=</span> <span class="n">mean_education_both</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()[</span><span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]</span>
<span class="n">mean_education_both</span> <span class="o">=</span> <span class="n">mean_education_both</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="s2">&quot;MEAN_GRADE&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">to_frame</span><span class="p">()</span>
<span class="n">mean_education_both</span><span class="p">[</span><span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;both&#39;</span>

<span class="n">mean_education_none</span> <span class="o">=</span> <span class="n">enem</span><span class="p">[[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="o">~</span><span class="n">mask_parents_education</span><span class="p">]</span>
<span class="n">mean_education_none</span> <span class="o">=</span> <span class="n">mean_education_none</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()[</span><span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]</span>
<span class="n">mean_education_none</span> <span class="o">=</span> <span class="n">mean_education_none</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="s2">&quot;MEAN_GRADE&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">to_frame</span><span class="p">()</span>
<span class="n">mean_education_none</span><span class="p">[</span><span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;none&#39;</span>

<span class="n">mean_education_ps</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">mean_education_both</span><span class="p">,</span> <span class="n">mean_education_none</span><span class="p">])</span>
<span class="n">mean_education_ps</span><span class="o">.</span><span class="n">reset_index</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">mean_education_ps</span><span class="o">.</span><span class="n">sort_values</span><span class="p">([</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">],</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">mean_education_ps</span><span class="o">.</span><span class="n">set_index</span><span class="p">([</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">],</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">mean_education_ps</span> <span class="o">=</span> <span class="n">mean_education_ps</span><span class="o">.</span><span class="n">squeeze</span><span class="p">()</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="s2">&quot;MEAN_GRADE&quot;</span><span class="p">)</span>

<span class="n">mean_education_ps</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<pre>YEAR  PARENTS_SCHOOLING
1999  both                 60.438033
      none                 45.683902
2000  both                 62.987877
      none                 49.936372
2001  both                 53.361863
Name: MEAN_GRADE, dtype: float64</pre>
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<p>Then we count how many students in each of these bands did public or private school:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">qty_both_public_per_year</span> <span class="o">=</span> <span class="n">enem</span><span class="p">[[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;MC_SCORE&#39;</span><span class="p">,</span> <span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">]]</span><span class="o">.</span>\
    <span class="n">loc</span><span class="p">[</span><span class="n">mask_parents_education</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">enem</span><span class="p">[</span><span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;public&#39;</span><span class="p">)]</span><span class="o">.</span>\
    <span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">count</span><span class="p">()[</span><span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]</span>
<span class="n">qty_both_public_per_year</span> <span class="o">=</span> <span class="n">qty_both_public_per_year</span><span class="o">.</span><span class="n">to_frame</span><span class="p">()</span>
<span class="n">qty_both_public_per_year</span><span class="p">[</span><span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;both&#39;</span>
<span class="n">qty_none_public_per_year</span> <span class="o">=</span> <span class="n">enem</span><span class="p">[[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;MC_SCORE&#39;</span><span class="p">,</span> <span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">]]</span><span class="o">.</span>\
    <span class="n">loc</span><span class="p">[</span><span class="o">~</span><span class="n">mask_parents_education</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">enem</span><span class="p">[</span><span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;public&#39;</span><span class="p">)]</span>\
    <span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">count</span><span class="p">()[</span><span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]</span>
<span class="n">qty_none_public_per_year</span> <span class="o">=</span> <span class="n">qty_none_public_per_year</span><span class="o">.</span><span class="n">to_frame</span><span class="p">()</span>
<span class="n">qty_none_public_per_year</span><span class="p">[</span><span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;none&#39;</span>
<span class="n">qty_public_per_year_ps</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">qty_both_public_per_year</span><span class="p">,</span> <span class="n">qty_none_public_per_year</span><span class="p">])</span>
<span class="n">qty_public_per_year_ps</span><span class="o">.</span><span class="n">reset_index</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">qty_public_per_year_ps</span><span class="o">.</span><span class="n">sort_values</span><span class="p">([</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">],</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">qty_public_per_year_ps</span><span class="o">.</span><span class="n">set_index</span><span class="p">([</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">],</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">qty_public_per_year_ps</span> <span class="o">=</span> <span class="n">qty_public_per_year_ps</span><span class="o">.</span><span class="n">squeeze</span><span class="p">()</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="s2">&quot;TOTAL_PUBLIC&quot;</span><span class="p">)</span>


<span class="n">qty_both_private_per_year</span> <span class="o">=</span> <span class="n">enem</span><span class="p">[[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;MC_SCORE&#39;</span><span class="p">,</span> <span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">]]</span><span class="o">.</span>\
    <span class="n">loc</span><span class="p">[</span><span class="n">mask_parents_education</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">enem</span><span class="p">[</span><span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;private&#39;</span><span class="p">)]</span><span class="o">.</span>\
    <span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">count</span><span class="p">()[</span><span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]</span>
<span class="n">qty_both_private_per_year</span> <span class="o">=</span> <span class="n">qty_both_private_per_year</span><span class="o">.</span><span class="n">to_frame</span><span class="p">()</span>
<span class="n">qty_both_private_per_year</span><span class="p">[</span><span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;both&#39;</span>
<span class="n">qty_none_private_per_year</span> <span class="o">=</span> <span class="n">enem</span><span class="p">[[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;MC_SCORE&#39;</span><span class="p">,</span> <span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">]]</span><span class="o">.</span>\
    <span class="n">loc</span><span class="p">[</span><span class="o">~</span><span class="n">mask_parents_education</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">enem</span><span class="p">[</span><span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;private&#39;</span><span class="p">)]</span>\
    <span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">count</span><span class="p">()[</span><span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]</span>
<span class="n">qty_none_private_per_year</span> <span class="o">=</span> <span class="n">qty_none_private_per_year</span><span class="o">.</span><span class="n">to_frame</span><span class="p">()</span>
<span class="n">qty_none_private_per_year</span><span class="p">[</span><span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;none&#39;</span>
<span class="n">qty_private_per_year_ps</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">qty_both_private_per_year</span><span class="p">,</span> <span class="n">qty_none_private_per_year</span><span class="p">])</span>
<span class="n">qty_private_per_year_ps</span><span class="o">.</span><span class="n">reset_index</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">qty_private_per_year_ps</span><span class="o">.</span><span class="n">sort_values</span><span class="p">([</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">],</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">qty_private_per_year_ps</span><span class="o">.</span><span class="n">set_index</span><span class="p">([</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">],</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">qty_private_per_year_ps</span> <span class="o">=</span> <span class="n">qty_private_per_year_ps</span><span class="o">.</span><span class="n">squeeze</span><span class="p">()</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="s2">&quot;TOTAL_PRIVATE&quot;</span><span class="p">)</span>


<span class="n">qty_public_per_year_ps</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<pre>YEAR  PARENTS_SCHOOLING
1999  both                  2004
      none                 60892
2000  both                   950
      none                 24338
2001  both                   798
Name: TOTAL_PUBLIC, dtype: int64</pre>
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<p>Then we count how many students in each of these bands, taking into account the public or private school, had above average scores:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">enem_both_public_ps</span> <span class="o">=</span> <span class="n">enem</span><span class="p">[[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">mask_parents_education</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">enem</span><span class="p">[</span><span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;public&#39;</span><span class="p">)]</span> 
<span class="n">enem_both_public_ps</span> <span class="o">=</span> <span class="n">enem_both_public_ps</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">mean_education_both</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">&#39;left&#39;</span><span class="p">,</span> <span class="n">on</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">])</span>
<span class="n">enem_both_public_ps</span> <span class="o">=</span> <span class="n">enem_both_public_ps</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">enem_both_public_ps</span><span class="p">[</span><span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]</span> <span class="o">&gt;</span> <span class="n">enem_both_public_ps</span><span class="p">[</span><span class="s1">&#39;MEAN_GRADE&#39;</span><span class="p">]]</span><span class="o">.</span>\
    <span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;YEAR&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">count</span><span class="p">()[</span><span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]</span>
<span class="n">enem_both_public_ps</span> <span class="o">=</span> <span class="n">enem_both_public_ps</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="s1">&#39;COUNT_ABOVE&#39;</span><span class="p">)</span>
<span class="n">enem_both_public_ps</span> <span class="o">=</span> <span class="n">enem_both_public_ps</span><span class="o">.</span><span class="n">to_frame</span><span class="p">()</span>
<span class="n">enem_both_public_ps</span><span class="p">[</span><span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;both&#39;</span>
<span class="n">enem_none_public_ps</span> <span class="o">=</span> <span class="n">enem</span><span class="p">[[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="o">~</span><span class="n">mask_parents_education</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">enem</span><span class="p">[</span><span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;public&#39;</span><span class="p">)]</span> 
<span class="n">enem_none_public_ps</span> <span class="o">=</span> <span class="n">enem_none_public_ps</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">mean_education_none</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">&#39;left&#39;</span><span class="p">,</span> <span class="n">on</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">])</span>
<span class="n">enem_none_public_ps</span> <span class="o">=</span> <span class="n">enem_none_public_ps</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">enem_none_public_ps</span><span class="p">[</span><span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]</span> <span class="o">&gt;</span> <span class="n">enem_none_public_ps</span><span class="p">[</span><span class="s1">&#39;MEAN_GRADE&#39;</span><span class="p">]]</span><span class="o">.</span>\
    <span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;YEAR&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">count</span><span class="p">()[</span><span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]</span>
<span class="n">enem_none_public_ps</span> <span class="o">=</span> <span class="n">enem_none_public_ps</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="s1">&#39;COUNT_ABOVE&#39;</span><span class="p">)</span>
<span class="n">enem_none_public_ps</span> <span class="o">=</span> <span class="n">enem_none_public_ps</span><span class="o">.</span><span class="n">to_frame</span><span class="p">()</span>
<span class="n">enem_none_public_ps</span><span class="p">[</span><span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;none&#39;</span>
<span class="n">above_mean_public_per_year_ps</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">enem_both_public_ps</span><span class="p">,</span> <span class="n">enem_none_public_ps</span><span class="p">])</span>
<span class="n">above_mean_public_per_year_ps</span><span class="o">.</span><span class="n">reset_index</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">above_mean_public_per_year_ps</span><span class="o">.</span><span class="n">sort_values</span><span class="p">([</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">],</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">above_mean_public_per_year_ps</span><span class="o">.</span><span class="n">set_index</span><span class="p">([</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">],</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">above_mean_public_per_year_ps</span> <span class="o">=</span> <span class="n">above_mean_public_per_year_ps</span><span class="o">.</span><span class="n">squeeze</span><span class="p">()</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="s2">&quot;COUNT_PUBLIC_ABOVE_MEAN&quot;</span><span class="p">)</span>

<span class="n">enem_both_private_ps</span> <span class="o">=</span> <span class="n">enem</span><span class="p">[[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">mask_parents_education</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">enem</span><span class="p">[</span><span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;private&#39;</span><span class="p">)]</span> 
<span class="n">enem_both_private_ps</span> <span class="o">=</span> <span class="n">enem_both_private_ps</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">mean_education_both</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">&#39;left&#39;</span><span class="p">,</span> <span class="n">on</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">])</span>
<span class="n">enem_both_private_ps</span> <span class="o">=</span> <span class="n">enem_both_private_ps</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">enem_both_private_ps</span><span class="p">[</span><span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]</span> <span class="o">&gt;</span> <span class="n">enem_both_private_ps</span><span class="p">[</span><span class="s1">&#39;MEAN_GRADE&#39;</span><span class="p">]]</span><span class="o">.</span>\
    <span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;YEAR&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">count</span><span class="p">()[</span><span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]</span>
<span class="n">enem_both_private_ps</span> <span class="o">=</span> <span class="n">enem_both_private_ps</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="s1">&#39;COUNT_ABOVE&#39;</span><span class="p">)</span>
<span class="n">enem_both_private_ps</span> <span class="o">=</span> <span class="n">enem_both_private_ps</span><span class="o">.</span><span class="n">to_frame</span><span class="p">()</span>
<span class="n">enem_both_private_ps</span><span class="p">[</span><span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;both&#39;</span>
<span class="n">enem_none_private_ps</span> <span class="o">=</span> <span class="n">enem</span><span class="p">[[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="o">~</span><span class="n">mask_parents_education</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">enem</span><span class="p">[</span><span class="s1">&#39;SECONDARY_SCHOOL_2&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;private&#39;</span><span class="p">)]</span> 
<span class="n">enem_none_private_ps</span> <span class="o">=</span> <span class="n">enem_none_private_ps</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">mean_education_none</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">&#39;left&#39;</span><span class="p">,</span> <span class="n">on</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">])</span>
<span class="n">enem_none_private_ps</span> <span class="o">=</span> <span class="n">enem_none_private_ps</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">enem_none_private_ps</span><span class="p">[</span><span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]</span> <span class="o">&gt;</span> <span class="n">enem_none_private_ps</span><span class="p">[</span><span class="s1">&#39;MEAN_GRADE&#39;</span><span class="p">]]</span><span class="o">.</span>\
    <span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;YEAR&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">count</span><span class="p">()[</span><span class="s1">&#39;MC_SCORE&#39;</span><span class="p">]</span>
<span class="n">enem_none_private_ps</span> <span class="o">=</span> <span class="n">enem_none_private_ps</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="s1">&#39;COUNT_ABOVE&#39;</span><span class="p">)</span>
<span class="n">enem_none_private_ps</span> <span class="o">=</span> <span class="n">enem_none_private_ps</span><span class="o">.</span><span class="n">to_frame</span><span class="p">()</span>
<span class="n">enem_none_private_ps</span><span class="p">[</span><span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;none&#39;</span>
<span class="n">above_mean_private_per_year_ps</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">enem_both_private_ps</span><span class="p">,</span> <span class="n">enem_none_private_ps</span><span class="p">])</span>
<span class="n">above_mean_private_per_year_ps</span><span class="o">.</span><span class="n">reset_index</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">above_mean_private_per_year_ps</span><span class="o">.</span><span class="n">sort_values</span><span class="p">([</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">],</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">above_mean_private_per_year_ps</span><span class="o">.</span><span class="n">set_index</span><span class="p">([</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">],</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">above_mean_private_per_year_ps</span> <span class="o">=</span> <span class="n">above_mean_private_per_year_ps</span><span class="o">.</span><span class="n">squeeze</span><span class="p">()</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="s2">&quot;COUNT_PRIVATE_ABOVE_MEAN&quot;</span><span class="p">)</span>
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<p>Now we put it all together to get the percentage:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pub_per_year</span> <span class="o">=</span> <span class="n">qty_public_per_year_ps</span><span class="o">.</span><span class="n">to_frame</span><span class="p">()</span><span class="o">.</span>\
    <span class="n">merge</span><span class="p">(</span><span class="n">above_mean_public_per_year_ps</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">&#39;left&#39;</span><span class="p">,</span> <span class="n">on</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</span>
<span class="n">pub_per_year</span><span class="p">[</span><span class="s1">&#39;PER_PUB_ABOVE_MEAN&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">pub_per_year</span><span class="p">[</span><span class="s1">&#39;COUNT_PUBLIC_ABOVE_MEAN&#39;</span><span class="p">]</span> <span class="o">*</span> <span class="mi">100</span><span class="p">)</span><span class="o">/</span> <span class="n">pub_per_year</span><span class="p">[</span><span class="s1">&#39;TOTAL_PUBLIC&#39;</span><span class="p">]</span>


<span class="n">priv_per_year</span> <span class="o">=</span> <span class="n">qty_private_per_year_ps</span><span class="o">.</span><span class="n">to_frame</span><span class="p">()</span><span class="o">.</span>\
    <span class="n">merge</span><span class="p">(</span><span class="n">above_mean_private_per_year_ps</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">&#39;left&#39;</span><span class="p">,</span> <span class="n">on</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">,</span> <span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</span>
<span class="n">priv_per_year</span><span class="p">[</span><span class="s1">&#39;PER_PRIV_ABOVE_MEAN&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">priv_per_year</span><span class="p">[</span><span class="s1">&#39;COUNT_PRIVATE_ABOVE_MEAN&#39;</span><span class="p">]</span> <span class="o">*</span> <span class="mi">100</span><span class="p">)</span><span class="o">/</span> <span class="n">priv_per_year</span><span class="p">[</span><span class="s1">&#39;TOTAL_PRIVATE&#39;</span><span class="p">]</span>
<span class="n">pub_per_year</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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      <th>TOTAL_PUBLIC</th>
      <th>COUNT_PUBLIC_ABOVE_MEAN</th>
      <th>PER_PUB_ABOVE_MEAN</th>
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      <th>YEAR</th>
      <th>PARENTS_SCHOOLING</th>
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      <th></th>
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      <th rowspan="2" valign="top">1999</th>
      <th>both</th>
      <td>2004</td>
      <td>918</td>
      <td>45.808383</td>
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      <th>none</th>
      <td>60892</td>
      <td>24037</td>
      <td>39.474808</td>
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      <th rowspan="2" valign="top">2000</th>
      <th>both</th>
      <td>950</td>
      <td>526</td>
      <td>55.368421</td>
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    <tr>
      <th>none</th>
      <td>24338</td>
      <td>10678</td>
      <td>43.873778</td>
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      <th>2001</th>
      <th>both</th>
      <td>798</td>
      <td>283</td>
      <td>35.463659</td>
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<p>And finally we put it all together in a DataFrame and we plot the percentage of private and public school students who had above average scores taking into account the parents' schooling situation:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">mean_per_year</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">()</span>
<span class="n">mean_per_year</span><span class="p">[</span><span class="s1">&#39;PER_PUB_BOTH_ABOVE_MEAN&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">pub_per_year</span><span class="p">[</span><span class="s1">&#39;PER_PUB_ABOVE_MEAN&#39;</span><span class="p">]</span><span class="o">.</span>\
    <span class="n">loc</span><span class="p">[</span><span class="n">pub_per_year</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;both&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;both&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">mean_per_year</span><span class="p">[</span><span class="s1">&#39;PER_PRIV_BOTH_ABOVE_MEAN&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">priv_per_year</span><span class="p">[</span><span class="s1">&#39;PER_PRIV_ABOVE_MEAN&#39;</span><span class="p">]</span><span class="o">.</span>\
    <span class="n">loc</span><span class="p">[</span><span class="n">priv_per_year</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;both&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;both&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">mean_per_year</span><span class="p">[</span><span class="s1">&#39;PER_PUB_NONE_ABOVE_MEAN&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">pub_per_year</span><span class="p">[</span><span class="s1">&#39;PER_PUB_ABOVE_MEAN&#39;</span><span class="p">]</span><span class="o">.</span>\
    <span class="n">loc</span><span class="p">[</span><span class="n">pub_per_year</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;none&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;none&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">mean_per_year</span><span class="p">[</span><span class="s1">&#39;PER_PRIV_NONE_ABOVE_MEAN&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">priv_per_year</span><span class="p">[</span><span class="s1">&#39;PER_PRIV_ABOVE_MEAN&#39;</span><span class="p">]</span><span class="o">.</span>\
    <span class="n">loc</span><span class="p">[</span><span class="n">priv_per_year</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">get_level_values</span><span class="p">(</span><span class="s1">&#39;PARENTS_SCHOOLING&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s1">&#39;none&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">xs</span><span class="p">(</span><span class="s1">&#39;none&#39;</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>

<span class="n">mean_per_year</span><span class="o">.</span>\
    <span class="n">plot</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="s2">&quot;Percentage of candidates performing above mean&quot;</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f3d64cc11d0&gt;</pre>
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<h2 id="Conclusion-and-further-proposals">Conclusion and further proposals<a class="anchor-link" href="#Conclusion-and-further-proposals">&#182;</a></h2><p>The data presented were very useful to show correlations between the notes and the socio-economic situation of the candidates. The average grade of students was expected to grow along with the monthly family income range, as well as we expected that the scores of those who studied in private high school were higher than the grade of those who studied in public schools, as well as we expected a correlation between a better note and water and light infrastructure. What we did not expect is such a low proportion of public school students whose parents have tertiary education who scored above average.</p>
<p>We also conclude that the Pandas tool is very useful for making data inferences. The difficult part was to consolidate and normalize the data so that the data of every year could have the same treatment.</p>
<p>Other studies that we suggest for those who are interested:</p>
<ul>
<li><p>Study data after 2008</p>
</li>
<li><p>Look for other correlations, such as readings and editorial note</p>
</li>
<li><p>Expand metadata table to load more data</p>
</li>
</ul>
<p>Any contribution to this study is welcome! You can make a push request and submit changes at any time to the <a href="https://github.com/lucasbracher/enem">https://github.com/lucasbracher/enem</a> repository.</p>

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