index.html

<!DOCTYPE html>
<html>
<head><meta charset="utf-8" />
<title>d2_stats</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">
    /*!
*
* Twitter Bootstrap
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/*!
 * Bootstrap v3.3.7 (http://getbootstrap.com)
 * Copyright 2011-2016 Twitter, Inc.
 * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
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/*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */
html {
  font-family: sans-serif;
  -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]) {
  display: none;
  height: 0;
}
[hidden],
template {
  display: none;
}
a {
  background-color: transparent;
}
a:active,
a:hover {
  outline: 0;
}
abbr[title] {
  border-bottom: 1px dotted;
}
b,
strong {
  font-weight: bold;
}
dfn {
  font-style: italic;
}
h1 {
  font-size: 2em;
  margin: 0.67em 0;
}
mark {
  background: #ff0;
  color: #000;
}
small {
  font-size: 80%;
}
sub,
sup {
  font-size: 75%;
  line-height: 0;
  position: relative;
  vertical-align: baseline;
}
sup {
  top: -0.5em;
}
sub {
  bottom: -0.25em;
}
img {
  border: 0;
}
svg:not(:root) {
  overflow: hidden;
}
figure {
  margin: 1em 40px;
}
hr {
  box-sizing: content-box;
  height: 0;
}
pre {
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}
code,
kbd,
pre,
samp {
  font-family: monospace, monospace;
  font-size: 1em;
}
button,
input,
optgroup,
select,
textarea {
  color: inherit;
  font: inherit;
  margin: 0;
}
button {
  overflow: visible;
}
button,
select {
  text-transform: none;
}
button,
html input[type="button"],
input[type="reset"],
input[type="submit"] {
  -webkit-appearance: button;
  cursor: pointer;
}
button[disabled],
html input[disabled] {
  cursor: default;
}
button::-moz-focus-inner,
input::-moz-focus-inner {
  border: 0;
  padding: 0;
}
input {
  line-height: normal;
}
input[type="checkbox"],
input[type="radio"] {
  box-sizing: border-box;
  padding: 0;
}
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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  box-sizing: content-box;
}
input[type="search"]::-webkit-search-cancel-button,
input[type="search"]::-webkit-search-decoration {
  -webkit-appearance: none;
}
fieldset {
  border: 1px solid #c0c0c0;
  margin: 0 2px;
  padding: 0.35em 0.625em 0.75em;
}
legend {
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  padding: 0;
}
textarea {
  overflow: auto;
}
optgroup {
  font-weight: bold;
}
table {
  border-collapse: collapse;
  border-spacing: 0;
}
td,
th {
  padding: 0;
}
/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */
@media print {
  *,
  *:before,
  *:after {
    background: transparent !important;
    color: #000 !important;
    box-shadow: none !important;
    text-shadow: none !important;
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  a,
  a:visited {
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  a[href]:after {
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  abbr[title]:after {
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  a[href^="#"]:after,
  a[href^="javascript:"]:after {
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  pre,
  blockquote {
    border: 1px solid #999;
    page-break-inside: avoid;
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  thead {
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  img {
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  h2,
  h3 {
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  h2,
  h3 {
    page-break-after: avoid;
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    border-top-color: #000 !important;
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@font-face {
  font-family: 'Glyphicons Halflings';
  src: url('../components/bootstrap/fonts/glyphicons-halflings-regular.eot');
  src: url('../components/bootstrap/fonts/glyphicons-halflings-regular.eot?#iefix') format('embedded-opentype'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.woff2') format('woff2'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.woff') format('woff'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.ttf') format('truetype'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.svg#glyphicons_halflingsregular') format('svg');
}
.glyphicon {
  position: relative;
  top: 1px;
  display: inline-block;
  font-family: 'Glyphicons Halflings';
  font-style: normal;
  font-weight: normal;
  line-height: 1;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
}
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  content: "\002a";
}
.glyphicon-plus:before {
  content: "\002b";
}
.glyphicon-euro:before,
.glyphicon-eur:before {
  content: "\20ac";
}
.glyphicon-minus:before {
  content: "\2212";
}
.glyphicon-cloud:before {
  content: "\2601";
}
.glyphicon-envelope:before {
  content: "\2709";
}
.glyphicon-pencil:before {
  content: "\270f";
}
.glyphicon-glass:before {
  content: "\e001";
}
.glyphicon-music:before {
  content: "\e002";
}
.glyphicon-search:before {
  content: "\e003";
}
.glyphicon-heart:before {
  content: "\e005";
}
.glyphicon-star:before {
  content: "\e006";
}
.glyphicon-star-empty:before {
  content: "\e007";
}
.glyphicon-user:before {
  content: "\e008";
}
.glyphicon-film:before {
  content: "\e009";
}
.glyphicon-th-large:before {
  content: "\e010";
}
.glyphicon-th:before {
  content: "\e011";
}
.glyphicon-th-list:before {
  content: "\e012";
}
.glyphicon-ok:before {
  content: "\e013";
}
.glyphicon-remove:before {
  content: "\e014";
}
.glyphicon-zoom-in:before {
  content: "\e015";
}
.glyphicon-zoom-out:before {
  content: "\e016";
}
.glyphicon-off:before {
  content: "\e017";
}
.glyphicon-signal:before {
  content: "\e018";
}
.glyphicon-cog:before {
  content: "\e019";
}
.glyphicon-trash:before {
  content: "\e020";
}
.glyphicon-home:before {
  content: "\e021";
}
.glyphicon-file:before {
  content: "\e022";
}
.glyphicon-time:before {
  content: "\e023";
}
.glyphicon-road:before {
  content: "\e024";
}
.glyphicon-download-alt:before {
  content: "\e025";
}
.glyphicon-download:before {
  content: "\e026";
}
.glyphicon-upload:before {
  content: "\e027";
}
.glyphicon-inbox:before {
  content: "\e028";
}
.glyphicon-play-circle:before {
  content: "\e029";
}
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}
.glyphicon-refresh:before {
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}
.glyphicon-list-alt:before {
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}
.glyphicon-lock:before {
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}
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}
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}
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}
.glyphicon-volume-down:before {
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}
.glyphicon-volume-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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}
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}
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}
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}
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  content: "\e058";
}
.glyphicon-facetime-video:before {
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}
.glyphicon-picture: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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  content: "\e068";
}
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  content: "\e069";
}
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  content: "\e070";
}
.glyphicon-backward:before {
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}
.glyphicon-play:before {
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}
.glyphicon-pause:before {
  content: "\e073";
}
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  content: "\e074";
}
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  content: "\e075";
}
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}
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}
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}
.glyphicon-chevron-left:before {
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}
.glyphicon-chevron-right:before {
  content: "\e080";
}
.glyphicon-plus-sign:before {
  content: "\e081";
}
.glyphicon-minus-sign:before {
  content: "\e082";
}
.glyphicon-remove-sign:before {
  content: "\e083";
}
.glyphicon-ok-sign:before {
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}
.glyphicon-question-sign:before {
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}
.glyphicon-info-sign:before {
  content: "\e086";
}
.glyphicon-screenshot:before {
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}
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}
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}
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}
.glyphicon-arrow-left:before {
  content: "\e091";
}
.glyphicon-arrow-right:before {
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}
.glyphicon-arrow-up:before {
  content: "\e093";
}
.glyphicon-arrow-down:before {
  content: "\e094";
}
.glyphicon-share-alt:before {
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}
.glyphicon-resize-full:before {
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}
.glyphicon-resize-small:before {
  content: "\e097";
}
.glyphicon-exclamation-sign:before {
  content: "\e101";
}
.glyphicon-gift:before {
  content: "\e102";
}
.glyphicon-leaf:before {
  content: "\e103";
}
.glyphicon-fire:before {
  content: "\e104";
}
.glyphicon-eye-open:before {
  content: "\e105";
}
.glyphicon-eye-close:before {
  content: "\e106";
}
.glyphicon-warning-sign:before {
  content: "\e107";
}
.glyphicon-plane:before {
  content: "\e108";
}
.glyphicon-calendar:before {
  content: "\e109";
}
.glyphicon-random:before {
  content: "\e110";
}
.glyphicon-comment:before {
  content: "\e111";
}
.glyphicon-magnet:before {
  content: "\e112";
}
.glyphicon-chevron-up:before {
  content: "\e113";
}
.glyphicon-chevron-down:before {
  content: "\e114";
}
.glyphicon-retweet:before {
  content: "\e115";
}
.glyphicon-shopping-cart:before {
  content: "\e116";
}
.glyphicon-folder-close:before {
  content: "\e117";
}
.glyphicon-folder-open:before {
  content: "\e118";
}
.glyphicon-resize-vertical:before {
  content: "\e119";
}
.glyphicon-resize-horizontal:before {
  content: "\e120";
}
.glyphicon-hdd:before {
  content: "\e121";
}
.glyphicon-bullhorn:before {
  content: "\e122";
}
.glyphicon-bell:before {
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}
.glyphicon-certificate:before {
  content: "\e124";
}
.glyphicon-thumbs-up:before {
  content: "\e125";
}
.glyphicon-thumbs-down:before {
  content: "\e126";
}
.glyphicon-hand-right:before {
  content: "\e127";
}
.glyphicon-hand-left:before {
  content: "\e128";
}
.glyphicon-hand-up:before {
  content: "\e129";
}
.glyphicon-hand-down:before {
  content: "\e130";
}
.glyphicon-circle-arrow-right:before {
  content: "\e131";
}
.glyphicon-circle-arrow-left:before {
  content: "\e132";
}
.glyphicon-circle-arrow-up:before {
  content: "\e133";
}
.glyphicon-circle-arrow-down:before {
  content: "\e134";
}
.glyphicon-globe:before {
  content: "\e135";
}
.glyphicon-wrench:before {
  content: "\e136";
}
.glyphicon-tasks:before {
  content: "\e137";
}
.glyphicon-filter:before {
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}
.glyphicon-briefcase:before {
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}
.glyphicon-fullscreen:before {
  content: "\e140";
}
.glyphicon-dashboard:before {
  content: "\e141";
}
.glyphicon-paperclip:before {
  content: "\e142";
}
.glyphicon-heart-empty:before {
  content: "\e143";
}
.glyphicon-link:before {
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}
.glyphicon-phone:before {
  content: "\e145";
}
.glyphicon-pushpin:before {
  content: "\e146";
}
.glyphicon-usd:before {
  content: "\e148";
}
.glyphicon-gbp:before {
  content: "\e149";
}
.glyphicon-sort:before {
  content: "\e150";
}
.glyphicon-sort-by-alphabet:before {
  content: "\e151";
}
.glyphicon-sort-by-alphabet-alt:before {
  content: "\e152";
}
.glyphicon-sort-by-order:before {
  content: "\e153";
}
.glyphicon-sort-by-order-alt:before {
  content: "\e154";
}
.glyphicon-sort-by-attributes:before {
  content: "\e155";
}
.glyphicon-sort-by-attributes-alt:before {
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}
.glyphicon-unchecked:before {
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}
.glyphicon-expand:before {
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}
.glyphicon-collapse-down:before {
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}
.glyphicon-collapse-up:before {
  content: "\e160";
}
.glyphicon-log-in:before {
  content: "\e161";
}
.glyphicon-flash:before {
  content: "\e162";
}
.glyphicon-log-out:before {
  content: "\e163";
}
.glyphicon-new-window:before {
  content: "\e164";
}
.glyphicon-record:before {
  content: "\e165";
}
.glyphicon-save:before {
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}
.glyphicon-open:before {
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}
.glyphicon-saved:before {
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.glyphicon-import:before {
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.glyphicon-export:before {
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}
.glyphicon-send:before {
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}
.glyphicon-floppy-disk:before {
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}
.glyphicon-floppy-saved:before {
  content: "\e173";
}
.glyphicon-floppy-remove:before {
  content: "\e174";
}
.glyphicon-floppy-save:before {
  content: "\e175";
}
.glyphicon-floppy-open:before {
  content: "\e176";
}
.glyphicon-credit-card:before {
  content: "\e177";
}
.glyphicon-transfer:before {
  content: "\e178";
}
.glyphicon-cutlery:before {
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}
.glyphicon-header:before {
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}
.glyphicon-compressed:before {
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}
.glyphicon-earphone:before {
  content: "\e182";
}
.glyphicon-phone-alt:before {
  content: "\e183";
}
.glyphicon-tower:before {
  content: "\e184";
}
.glyphicon-stats:before {
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}
.glyphicon-sd-video:before {
  content: "\e186";
}
.glyphicon-hd-video:before {
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}
.glyphicon-subtitles:before {
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}
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}
.glyphicon-sound-dolby:before {
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}
.glyphicon-sound-7-1:before {
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}
.glyphicon-copyright-mark:before {
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}
.glyphicon-registration-mark:before {
  content: "\e195";
}
.glyphicon-cloud-download:before {
  content: "\e197";
}
.glyphicon-cloud-upload:before {
  content: "\e198";
}
.glyphicon-tree-conifer:before {
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}
.glyphicon-tree-deciduous:before {
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}
.glyphicon-cd:before {
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}
.glyphicon-save-file:before {
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}
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}
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}
.glyphicon-paste:before {
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}
.glyphicon-alert:before {
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}
.glyphicon-equalizer:before {
  content: "\e210";
}
.glyphicon-king:before {
  content: "\e211";
}
.glyphicon-queen:before {
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}
.glyphicon-pawn:before {
  content: "\e213";
}
.glyphicon-bishop:before {
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}
.glyphicon-knight:before {
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}
.glyphicon-baby-formula:before {
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}
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  content: "\26fa";
}
.glyphicon-blackboard:before {
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}
.glyphicon-bed:before {
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}
.glyphicon-apple:before {
  content: "\f8ff";
}
.glyphicon-erase:before {
  content: "\e221";
}
.glyphicon-hourglass:before {
  content: "\231b";
}
.glyphicon-lamp:before {
  content: "\e223";
}
.glyphicon-duplicate:before {
  content: "\e224";
}
.glyphicon-piggy-bank:before {
  content: "\e225";
}
.glyphicon-scissors:before {
  content: "\e226";
}
.glyphicon-bitcoin:before {
  content: "\e227";
}
.glyphicon-btc:before {
  content: "\e227";
}
.glyphicon-xbt:before {
  content: "\e227";
}
.glyphicon-yen:before {
  content: "\00a5";
}
.glyphicon-jpy:before {
  content: "\00a5";
}
.glyphicon-ruble:before {
  content: "\20bd";
}
.glyphicon-rub:before {
  content: "\20bd";
}
.glyphicon-scale:before {
  content: "\e230";
}
.glyphicon-ice-lolly:before {
  content: "\e231";
}
.glyphicon-ice-lolly-tasted:before {
  content: "\e232";
}
.glyphicon-education:before {
  content: "\e233";
}
.glyphicon-option-horizontal:before {
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}
.glyphicon-option-vertical:before {
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}
.glyphicon-menu-hamburger:before {
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}
.glyphicon-modal-window:before {
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}
.glyphicon-oil:before {
  content: "\e238";
}
.glyphicon-grain:before {
  content: "\e239";
}
.glyphicon-sunglasses:before {
  content: "\e240";
}
.glyphicon-text-size:before {
  content: "\e241";
}
.glyphicon-text-color:before {
  content: "\e242";
}
.glyphicon-text-background:before {
  content: "\e243";
}
.glyphicon-object-align-top:before {
  content: "\e244";
}
.glyphicon-object-align-bottom:before {
  content: "\e245";
}
.glyphicon-object-align-horizontal:before {
  content: "\e246";
}
.glyphicon-object-align-left:before {
  content: "\e247";
}
.glyphicon-object-align-vertical:before {
  content: "\e248";
}
.glyphicon-object-align-right:before {
  content: "\e249";
}
.glyphicon-triangle-right:before {
  content: "\e250";
}
.glyphicon-triangle-left:before {
  content: "\e251";
}
.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 4.2.0 by @davegandy - http://fontawesome.io - @fontawesome
 *  License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)
 */
/* FONT PATH
 * -------------------------- */
@font-face {
  font-family: 'FontAwesome';
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?v=4.2.0');
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.2.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.2.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.2.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.2.0#fontawesomeregular') format('svg');
  font-weight: normal;
  font-style: normal;
}
.fa {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
}
/* makes the font 33% larger relative to the icon container */
.fa-lg {
  font-size: 1.33333333em;
  line-height: 0.75em;
  vertical-align: -15%;
}
.fa-2x {
  font-size: 2em;
}
.fa-3x {
  font-size: 3em;
}
.fa-4x {
  font-size: 4em;
}
.fa-5x {
  font-size: 5em;
}
.fa-fw {
  width: 1.28571429em;
  text-align: center;
}
.fa-ul {
  padding-left: 0;
  margin-left: 2.14285714em;
  list-style-type: none;
}
.fa-ul > li {
  position: relative;
}
.fa-li {
  position: absolute;
  left: -2.14285714em;
  width: 2.14285714em;
  top: 0.14285714em;
  text-align: center;
}
.fa-li.fa-lg {
  left: -1.85714286em;
}
.fa-border {
  padding: .2em .25em .15em;
  border: solid 0.08em #eee;
  border-radius: .1em;
}
.pull-right {
  float: right;
}
.pull-left {
  float: left;
}
.fa.pull-left {
  margin-right: .3em;
}
.fa.pull-right {
  margin-left: .3em;
}
.fa-spin {
  -webkit-animation: fa-spin 2s infinite linear;
  animation: fa-spin 2s infinite linear;
}
@-webkit-keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
@keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
.fa-rotate-90 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=1);
  -webkit-transform: rotate(90deg);
  -ms-transform: rotate(90deg);
  transform: rotate(90deg);
}
.fa-rotate-180 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=2);
  -webkit-transform: rotate(180deg);
  -ms-transform: rotate(180deg);
  transform: rotate(180deg);
}
.fa-rotate-270 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=3);
  -webkit-transform: rotate(270deg);
  -ms-transform: rotate(270deg);
  transform: rotate(270deg);
}
.fa-flip-horizontal {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1);
  -webkit-transform: scale(-1, 1);
  -ms-transform: scale(-1, 1);
  transform: scale(-1, 1);
}
.fa-flip-vertical {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1);
  -webkit-transform: scale(1, -1);
  -ms-transform: scale(1, -1);
  transform: scale(1, -1);
}
:root .fa-rotate-90,
:root .fa-rotate-180,
:root .fa-rotate-270,
:root .fa-flip-horizontal,
:root .fa-flip-vertical {
  filter: none;
}
.fa-stack {
  position: relative;
  display: inline-block;
  width: 2em;
  height: 2em;
  line-height: 2em;
  vertical-align: middle;
}
.fa-stack-1x,
.fa-stack-2x {
  position: absolute;
  left: 0;
  width: 100%;
  text-align: center;
}
.fa-stack-1x {
  line-height: inherit;
}
.fa-stack-2x {
  font-size: 2em;
}
.fa-inverse {
  color: #fff;
}
/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
   readers do not read off random characters that represent icons */
.fa-glass:before {
  content: "\f000";
}
.fa-music:before {
  content: "\f001";
}
.fa-search:before {
  content: "\f002";
}
.fa-envelope-o:before {
  content: "\f003";
}
.fa-heart:before {
  content: "\f004";
}
.fa-star:before {
  content: "\f005";
}
.fa-star-o:before {
  content: "\f006";
}
.fa-user:before {
  content: "\f007";
}
.fa-film:before {
  content: "\f008";
}
.fa-th-large:before {
  content: "\f009";
}
.fa-th:before {
  content: "\f00a";
}
.fa-th-list:before {
  content: "\f00b";
}
.fa-check:before {
  content: "\f00c";
}
.fa-remove:before,
.fa-close:before,
.fa-times:before {
  content: "\f00d";
}
.fa-search-plus:before {
  content: "\f00e";
}
.fa-search-minus:before {
  content: "\f010";
}
.fa-power-off:before {
  content: "\f011";
}
.fa-signal:before {
  content: "\f012";
}
.fa-gear:before,
.fa-cog:before {
  content: "\f013";
}
.fa-trash-o:before {
  content: "\f014";
}
.fa-home:before {
  content: "\f015";
}
.fa-file-o:before {
  content: "\f016";
}
.fa-clock-o:before {
  content: "\f017";
}
.fa-road:before {
  content: "\f018";
}
.fa-download:before {
  content: "\f019";
}
.fa-arrow-circle-o-down:before {
  content: "\f01a";
}
.fa-arrow-circle-o-up:before {
  content: "\f01b";
}
.fa-inbox:before {
  content: "\f01c";
}
.fa-play-circle-o:before {
  content: "\f01d";
}
.fa-rotate-right:before,
.fa-repeat:before {
  content: "\f01e";
}
.fa-refresh:before {
  content: "\f021";
}
.fa-list-alt:before {
  content: "\f022";
}
.fa-lock:before {
  content: "\f023";
}
.fa-flag:before {
  content: "\f024";
}
.fa-headphones:before {
  content: "\f025";
}
.fa-volume-off:before {
  content: "\f026";
}
.fa-volume-down:before {
  content: "\f027";
}
.fa-volume-up:before {
  content: "\f028";
}
.fa-qrcode:before {
  content: "\f029";
}
.fa-barcode:before {
  content: "\f02a";
}
.fa-tag:before {
  content: "\f02b";
}
.fa-tags:before {
  content: "\f02c";
}
.fa-book:before {
  content: "\f02d";
}
.fa-bookmark:before {
  content: "\f02e";
}
.fa-print:before {
  content: "\f02f";
}
.fa-camera:before {
  content: "\f030";
}
.fa-font:before {
  content: "\f031";
}
.fa-bold:before {
  content: "\f032";
}
.fa-italic:before {
  content: "\f033";
}
.fa-text-height:before {
  content: "\f034";
}
.fa-text-width:before {
  content: "\f035";
}
.fa-align-left:before {
  content: "\f036";
}
.fa-align-center:before {
  content: "\f037";
}
.fa-align-right:before {
  content: "\f038";
}
.fa-align-justify:before {
  content: "\f039";
}
.fa-list:before {
  content: "\f03a";
}
.fa-dedent:before,
.fa-outdent:before {
  content: "\f03b";
}
.fa-indent:before {
  content: "\f03c";
}
.fa-video-camera:before {
  content: "\f03d";
}
.fa-photo:before,
.fa-image:before,
.fa-picture-o:before {
  content: "\f03e";
}
.fa-pencil:before {
  content: "\f040";
}
.fa-map-marker:before {
  content: "\f041";
}
.fa-adjust:before {
  content: "\f042";
}
.fa-tint:before {
  content: "\f043";
}
.fa-edit:before,
.fa-pencil-square-o:before {
  content: "\f044";
}
.fa-share-square-o:before {
  content: "\f045";
}
.fa-check-square-o:before {
  content: "\f046";
}
.fa-arrows:before {
  content: "\f047";
}
.fa-step-backward:before {
  content: "\f048";
}
.fa-fast-backward:before {
  content: "\f049";
}
.fa-backward:before {
  content: "\f04a";
}
.fa-play:before {
  content: "\f04b";
}
.fa-pause:before {
  content: "\f04c";
}
.fa-stop:before {
  content: "\f04d";
}
.fa-forward:before {
  content: "\f04e";
}
.fa-fast-forward:before {
  content: "\f050";
}
.fa-step-forward:before {
  content: "\f051";
}
.fa-eject:before {
  content: "\f052";
}
.fa-chevron-left:before {
  content: "\f053";
}
.fa-chevron-right:before {
  content: "\f054";
}
.fa-plus-circle:before {
  content: "\f055";
}
.fa-minus-circle:before {
  content: "\f056";
}
.fa-times-circle:before {
  content: "\f057";
}
.fa-check-circle:before {
  content: "\f058";
}
.fa-question-circle:before {
  content: "\f059";
}
.fa-info-circle:before {
  content: "\f05a";
}
.fa-crosshairs:before {
  content: "\f05b";
}
.fa-times-circle-o:before {
  content: "\f05c";
}
.fa-check-circle-o:before {
  content: "\f05d";
}
.fa-ban:before {
  content: "\f05e";
}
.fa-arrow-left:before {
  content: "\f060";
}
.fa-arrow-right:before {
  content: "\f061";
}
.fa-arrow-up:before {
  content: "\f062";
}
.fa-arrow-down:before {
  content: "\f063";
}
.fa-mail-forward:before,
.fa-share:before {
  content: "\f064";
}
.fa-expand:before {
  content: "\f065";
}
.fa-compress:before {
  content: "\f066";
}
.fa-plus:before {
  content: "\f067";
}
.fa-minus:before {
  content: "\f068";
}
.fa-asterisk:before {
  content: "\f069";
}
.fa-exclamation-circle:before {
  content: "\f06a";
}
.fa-gift:before {
  content: "\f06b";
}
.fa-leaf:before {
  content: "\f06c";
}
.fa-fire:before {
  content: "\f06d";
}
.fa-eye:before {
  content: "\f06e";
}
.fa-eye-slash:before {
  content: "\f070";
}
.fa-warning:before,
.fa-exclamation-triangle:before {
  content: "\f071";
}
.fa-plane:before {
  content: "\f072";
}
.fa-calendar:before {
  content: "\f073";
}
.fa-random:before {
  content: "\f074";
}
.fa-comment:before {
  content: "\f075";
}
.fa-magnet:before {
  content: "\f076";
}
.fa-chevron-up:before {
  content: "\f077";
}
.fa-chevron-down:before {
  content: "\f078";
}
.fa-retweet:before {
  content: "\f079";
}
.fa-shopping-cart:before {
  content: "\f07a";
}
.fa-folder:before {
  content: "\f07b";
}
.fa-folder-open:before {
  content: "\f07c";
}
.fa-arrows-v:before {
  content: "\f07d";
}
.fa-arrows-h:before {
  content: "\f07e";
}
.fa-bar-chart-o:before,
.fa-bar-chart:before {
  content: "\f080";
}
.fa-twitter-square:before {
  content: "\f081";
}
.fa-facebook-square:before {
  content: "\f082";
}
.fa-camera-retro:before {
  content: "\f083";
}
.fa-key:before {
  content: "\f084";
}
.fa-gears:before,
.fa-cogs:before {
  content: "\f085";
}
.fa-comments:before {
  content: "\f086";
}
.fa-thumbs-o-up:before {
  content: "\f087";
}
.fa-thumbs-o-down:before {
  content: "\f088";
}
.fa-star-half:before {
  content: "\f089";
}
.fa-heart-o:before {
  content: "\f08a";
}
.fa-sign-out:before {
  content: "\f08b";
}
.fa-linkedin-square:before {
  content: "\f08c";
}
.fa-thumb-tack:before {
  content: "\f08d";
}
.fa-external-link:before {
  content: "\f08e";
}
.fa-sign-in:before {
  content: "\f090";
}
.fa-trophy:before {
  content: "\f091";
}
.fa-github-square:before {
  content: "\f092";
}
.fa-upload:before {
  content: "\f093";
}
.fa-lemon-o:before {
  content: "\f094";
}
.fa-phone:before {
  content: "\f095";
}
.fa-square-o:before {
  content: "\f096";
}
.fa-bookmark-o:before {
  content: "\f097";
}
.fa-phone-square:before {
  content: "\f098";
}
.fa-twitter:before {
  content: "\f099";
}
.fa-facebook:before {
  content: "\f09a";
}
.fa-github:before {
  content: "\f09b";
}
.fa-unlock:before {
  content: "\f09c";
}
.fa-credit-card:before {
  content: "\f09d";
}
.fa-rss:before {
  content: "\f09e";
}
.fa-hdd-o:before {
  content: "\f0a0";
}
.fa-bullhorn:before {
  content: "\f0a1";
}
.fa-bell:before {
  content: "\f0f3";
}
.fa-certificate:before {
  content: "\f0a3";
}
.fa-hand-o-right:before {
  content: "\f0a4";
}
.fa-hand-o-left:before {
  content: "\f0a5";
}
.fa-hand-o-up:before {
  content: "\f0a6";
}
.fa-hand-o-down:before {
  content: "\f0a7";
}
.fa-arrow-circle-left:before {
  content: "\f0a8";
}
.fa-arrow-circle-right:before {
  content: "\f0a9";
}
.fa-arrow-circle-up:before {
  content: "\f0aa";
}
.fa-arrow-circle-down:before {
  content: "\f0ab";
}
.fa-globe:before {
  content: "\f0ac";
}
.fa-wrench:before {
  content: "\f0ad";
}
.fa-tasks:before {
  content: "\f0ae";
}
.fa-filter:before {
  content: "\f0b0";
}
.fa-briefcase:before {
  content: "\f0b1";
}
.fa-arrows-alt:before {
  content: "\f0b2";
}
.fa-group:before,
.fa-users:before {
  content: "\f0c0";
}
.fa-chain:before,
.fa-link:before {
  content: "\f0c1";
}
.fa-cloud:before {
  content: "\f0c2";
}
.fa-flask:before {
  content: "\f0c3";
}
.fa-cut:before,
.fa-scissors:before {
  content: "\f0c4";
}
.fa-copy:before,
.fa-files-o:before {
  content: "\f0c5";
}
.fa-paperclip:before {
  content: "\f0c6";
}
.fa-save:before,
.fa-floppy-o:before {
  content: "\f0c7";
}
.fa-square:before {
  content: "\f0c8";
}
.fa-navicon:before,
.fa-reorder:before,
.fa-bars:before {
  content: "\f0c9";
}
.fa-list-ul:before {
  content: "\f0ca";
}
.fa-list-ol:before {
  content: "\f0cb";
}
.fa-strikethrough:before {
  content: "\f0cc";
}
.fa-underline:before {
  content: "\f0cd";
}
.fa-table:before {
  content: "\f0ce";
}
.fa-magic:before {
  content: "\f0d0";
}
.fa-truck:before {
  content: "\f0d1";
}
.fa-pinterest:before {
  content: "\f0d2";
}
.fa-pinterest-square:before {
  content: "\f0d3";
}
.fa-google-plus-square:before {
  content: "\f0d4";
}
.fa-google-plus:before {
  content: "\f0d5";
}
.fa-money:before {
  content: "\f0d6";
}
.fa-caret-down:before {
  content: "\f0d7";
}
.fa-caret-up:before {
  content: "\f0d8";
}
.fa-caret-left:before {
  content: "\f0d9";
}
.fa-caret-right:before {
  content: "\f0da";
}
.fa-columns:before {
  content: "\f0db";
}
.fa-unsorted:before,
.fa-sort:before {
  content: "\f0dc";
}
.fa-sort-down:before,
.fa-sort-desc:before {
  content: "\f0dd";
}
.fa-sort-up:before,
.fa-sort-asc:before {
  content: "\f0de";
}
.fa-envelope:before {
  content: "\f0e0";
}
.fa-linkedin:before {
  content: "\f0e1";
}
.fa-rotate-left:before,
.fa-undo:before {
  content: "\f0e2";
}
.fa-legal:before,
.fa-gavel:before {
  content: "\f0e3";
}
.fa-dashboard:before,
.fa-tachometer:before {
  content: "\f0e4";
}
.fa-comment-o:before {
  content: "\f0e5";
}
.fa-comments-o:before {
  content: "\f0e6";
}
.fa-flash:before,
.fa-bolt:before {
  content: "\f0e7";
}
.fa-sitemap:before {
  content: "\f0e8";
}
.fa-umbrella:before {
  content: "\f0e9";
}
.fa-paste:before,
.fa-clipboard:before {
  content: "\f0ea";
}
.fa-lightbulb-o:before {
  content: "\f0eb";
}
.fa-exchange:before {
  content: "\f0ec";
}
.fa-cloud-download:before {
  content: "\f0ed";
}
.fa-cloud-upload:before {
  content: "\f0ee";
}
.fa-user-md:before {
  content: "\f0f0";
}
.fa-stethoscope:before {
  content: "\f0f1";
}
.fa-suitcase:before {
  content: "\f0f2";
}
.fa-bell-o:before {
  content: "\f0a2";
}
.fa-coffee:before {
  content: "\f0f4";
}
.fa-cutlery:before {
  content: "\f0f5";
}
.fa-file-text-o:before {
  content: "\f0f6";
}
.fa-building-o:before {
  content: "\f0f7";
}
.fa-hospital-o:before {
  content: "\f0f8";
}
.fa-ambulance:before {
  content: "\f0f9";
}
.fa-medkit:before {
  content: "\f0fa";
}
.fa-fighter-jet:before {
  content: "\f0fb";
}
.fa-beer:before {
  content: "\f0fc";
}
.fa-h-square:before {
  content: "\f0fd";
}
.fa-plus-square:before {
  content: "\f0fe";
}
.fa-angle-double-left:before {
  content: "\f100";
}
.fa-angle-double-right:before {
  content: "\f101";
}
.fa-angle-double-up:before {
  content: "\f102";
}
.fa-angle-double-down:before {
  content: "\f103";
}
.fa-angle-left:before {
  content: "\f104";
}
.fa-angle-right:before {
  content: "\f105";
}
.fa-angle-up:before {
  content: "\f106";
}
.fa-angle-down:before {
  content: "\f107";
}
.fa-desktop:before {
  content: "\f108";
}
.fa-laptop:before {
  content: "\f109";
}
.fa-tablet:before {
  content: "\f10a";
}
.fa-mobile-phone:before,
.fa-mobile:before {
  content: "\f10b";
}
.fa-circle-o:before {
  content: "\f10c";
}
.fa-quote-left:before {
  content: "\f10d";
}
.fa-quote-right:before {
  content: "\f10e";
}
.fa-spinner:before {
  content: "\f110";
}
.fa-circle:before {
  content: "\f111";
}
.fa-mail-reply:before,
.fa-reply:before {
  content: "\f112";
}
.fa-github-alt:before {
  content: "\f113";
}
.fa-folder-o:before {
  content: "\f114";
}
.fa-folder-open-o:before {
  content: "\f115";
}
.fa-smile-o:before {
  content: "\f118";
}
.fa-frown-o:before {
  content: "\f119";
}
.fa-meh-o:before {
  content: "\f11a";
}
.fa-gamepad:before {
  content: "\f11b";
}
.fa-keyboard-o:before {
  content: "\f11c";
}
.fa-flag-o:before {
  content: "\f11d";
}
.fa-flag-checkered:before {
  content: "\f11e";
}
.fa-terminal:before {
  content: "\f120";
}
.fa-code:before {
  content: "\f121";
}
.fa-mail-reply-all:before,
.fa-reply-all:before {
  content: "\f122";
}
.fa-star-half-empty:before,
.fa-star-half-full:before,
.fa-star-half-o:before {
  content: "\f123";
}
.fa-location-arrow:before {
  content: "\f124";
}
.fa-crop:before {
  content: "\f125";
}
.fa-code-fork:before {
  content: "\f126";
}
.fa-unlink:before,
.fa-chain-broken:before {
  content: "\f127";
}
.fa-question:before {
  content: "\f128";
}
.fa-info:before {
  content: "\f129";
}
.fa-exclamation:before {
  content: "\f12a";
}
.fa-superscript:before {
  content: "\f12b";
}
.fa-subscript:before {
  content: "\f12c";
}
.fa-eraser:before {
  content: "\f12d";
}
.fa-puzzle-piece:before {
  content: "\f12e";
}
.fa-microphone:before {
  content: "\f130";
}
.fa-microphone-slash:before {
  content: "\f131";
}
.fa-shield:before {
  content: "\f132";
}
.fa-calendar-o:before {
  content: "\f133";
}
.fa-fire-extinguisher:before {
  content: "\f134";
}
.fa-rocket:before {
  content: "\f135";
}
.fa-maxcdn:before {
  content: "\f136";
}
.fa-chevron-circle-left:before {
  content: "\f137";
}
.fa-chevron-circle-right:before {
  content: "\f138";
}
.fa-chevron-circle-up:before {
  content: "\f139";
}
.fa-chevron-circle-down:before {
  content: "\f13a";
}
.fa-html5:before {
  content: "\f13b";
}
.fa-css3:before {
  content: "\f13c";
}
.fa-anchor:before {
  content: "\f13d";
}
.fa-unlock-alt:before {
  content: "\f13e";
}
.fa-bullseye:before {
  content: "\f140";
}
.fa-ellipsis-h:before {
  content: "\f141";
}
.fa-ellipsis-v:before {
  content: "\f142";
}
.fa-rss-square:before {
  content: "\f143";
}
.fa-play-circle:before {
  content: "\f144";
}
.fa-ticket:before {
  content: "\f145";
}
.fa-minus-square:before {
  content: "\f146";
}
.fa-minus-square-o:before {
  content: "\f147";
}
.fa-level-up:before {
  content: "\f148";
}
.fa-level-down:before {
  content: "\f149";
}
.fa-check-square:before {
  content: "\f14a";
}
.fa-pencil-square:before {
  content: "\f14b";
}
.fa-external-link-square:before {
  content: "\f14c";
}
.fa-share-square:before {
  content: "\f14d";
}
.fa-compass:before {
  content: "\f14e";
}
.fa-toggle-down:before,
.fa-caret-square-o-down:before {
  content: "\f150";
}
.fa-toggle-up:before,
.fa-caret-square-o-up:before {
  content: "\f151";
}
.fa-toggle-right:before,
.fa-caret-square-o-right:before {
  content: "\f152";
}
.fa-euro:before,
.fa-eur:before {
  content: "\f153";
}
.fa-gbp:before {
  content: "\f154";
}
.fa-dollar:before,
.fa-usd:before {
  content: "\f155";
}
.fa-rupee:before,
.fa-inr:before {
  content: "\f156";
}
.fa-cny:before,
.fa-rmb:before,
.fa-yen:before,
.fa-jpy:before {
  content: "\f157";
}
.fa-ruble:before,
.fa-rouble:before,
.fa-rub:before {
  content: "\f158";
}
.fa-won:before,
.fa-krw:before {
  content: "\f159";
}
.fa-bitcoin:before,
.fa-btc:before {
  content: "\f15a";
}
.fa-file:before {
  content: "\f15b";
}
.fa-file-text:before {
  content: "\f15c";
}
.fa-sort-alpha-asc:before {
  content: "\f15d";
}
.fa-sort-alpha-desc:before {
  content: "\f15e";
}
.fa-sort-amount-asc:before {
  content: "\f160";
}
.fa-sort-amount-desc:before {
  content: "\f161";
}
.fa-sort-numeric-asc:before {
  content: "\f162";
}
.fa-sort-numeric-desc:before {
  content: "\f163";
}
.fa-thumbs-up:before {
  content: "\f164";
}
.fa-thumbs-down:before {
  content: "\f165";
}
.fa-youtube-square:before {
  content: "\f166";
}
.fa-youtube:before {
  content: "\f167";
}
.fa-xing:before {
  content: "\f168";
}
.fa-xing-square:before {
  content: "\f169";
}
.fa-youtube-play:before {
  content: "\f16a";
}
.fa-dropbox:before {
  content: "\f16b";
}
.fa-stack-overflow:before {
  content: "\f16c";
}
.fa-instagram:before {
  content: "\f16d";
}
.fa-flickr:before {
  content: "\f16e";
}
.fa-adn:before {
  content: "\f170";
}
.fa-bitbucket:before {
  content: "\f171";
}
.fa-bitbucket-square:before {
  content: "\f172";
}
.fa-tumblr:before {
  content: "\f173";
}
.fa-tumblr-square:before {
  content: "\f174";
}
.fa-long-arrow-down:before {
  content: "\f175";
}
.fa-long-arrow-up:before {
  content: "\f176";
}
.fa-long-arrow-left:before {
  content: "\f177";
}
.fa-long-arrow-right:before {
  content: "\f178";
}
.fa-apple:before {
  content: "\f179";
}
.fa-windows:before {
  content: "\f17a";
}
.fa-android:before {
  content: "\f17b";
}
.fa-linux:before {
  content: "\f17c";
}
.fa-dribbble:before {
  content: "\f17d";
}
.fa-skype:before {
  content: "\f17e";
}
.fa-foursquare:before {
  content: "\f180";
}
.fa-trello:before {
  content: "\f181";
}
.fa-female:before {
  content: "\f182";
}
.fa-male:before {
  content: "\f183";
}
.fa-gittip:before {
  content: "\f184";
}
.fa-sun-o:before {
  content: "\f185";
}
.fa-moon-o:before {
  content: "\f186";
}
.fa-archive:before {
  content: "\f187";
}
.fa-bug:before {
  content: "\f188";
}
.fa-vk:before {
  content: "\f189";
}
.fa-weibo:before {
  content: "\f18a";
}
.fa-renren:before {
  content: "\f18b";
}
.fa-pagelines:before {
  content: "\f18c";
}
.fa-stack-exchange:before {
  content: "\f18d";
}
.fa-arrow-circle-o-right:before {
  content: "\f18e";
}
.fa-arrow-circle-o-left:before {
  content: "\f190";
}
.fa-toggle-left:before,
.fa-caret-square-o-left:before {
  content: "\f191";
}
.fa-dot-circle-o:before {
  content: "\f192";
}
.fa-wheelchair:before {
  content: "\f193";
}
.fa-vimeo-square:before {
  content: "\f194";
}
.fa-turkish-lira:before,
.fa-try:before {
  content: "\f195";
}
.fa-plus-square-o:before {
  content: "\f196";
}
.fa-space-shuttle:before {
  content: "\f197";
}
.fa-slack:before {
  content: "\f198";
}
.fa-envelope-square:before {
  content: "\f199";
}
.fa-wordpress:before {
  content: "\f19a";
}
.fa-openid:before {
  content: "\f19b";
}
.fa-institution:before,
.fa-bank:before,
.fa-university:before {
  content: "\f19c";
}
.fa-mortar-board:before,
.fa-graduation-cap:before {
  content: "\f19d";
}
.fa-yahoo:before {
  content: "\f19e";
}
.fa-google:before {
  content: "\f1a0";
}
.fa-reddit:before {
  content: "\f1a1";
}
.fa-reddit-square:before {
  content: "\f1a2";
}
.fa-stumbleupon-circle:before {
  content: "\f1a3";
}
.fa-stumbleupon:before {
  content: "\f1a4";
}
.fa-delicious:before {
  content: "\f1a5";
}
.fa-digg:before {
  content: "\f1a6";
}
.fa-pied-piper:before {
  content: "\f1a7";
}
.fa-pied-piper-alt:before {
  content: "\f1a8";
}
.fa-drupal:before {
  content: "\f1a9";
}
.fa-joomla:before {
  content: "\f1aa";
}
.fa-language:before {
  content: "\f1ab";
}
.fa-fax:before {
  content: "\f1ac";
}
.fa-building:before {
  content: "\f1ad";
}
.fa-child:before {
  content: "\f1ae";
}
.fa-paw:before {
  content: "\f1b0";
}
.fa-spoon:before {
  content: "\f1b1";
}
.fa-cube:before {
  content: "\f1b2";
}
.fa-cubes:before {
  content: "\f1b3";
}
.fa-behance:before {
  content: "\f1b4";
}
.fa-behance-square:before {
  content: "\f1b5";
}
.fa-steam:before {
  content: "\f1b6";
}
.fa-steam-square:before {
  content: "\f1b7";
}
.fa-recycle:before {
  content: "\f1b8";
}
.fa-automobile:before,
.fa-car:before {
  content: "\f1b9";
}
.fa-cab:before,
.fa-taxi:before {
  content: "\f1ba";
}
.fa-tree:before {
  content: "\f1bb";
}
.fa-spotify:before {
  content: "\f1bc";
}
.fa-deviantart:before {
  content: "\f1bd";
}
.fa-soundcloud:before {
  content: "\f1be";
}
.fa-database:before {
  content: "\f1c0";
}
.fa-file-pdf-o:before {
  content: "\f1c1";
}
.fa-file-word-o:before {
  content: "\f1c2";
}
.fa-file-excel-o:before {
  content: "\f1c3";
}
.fa-file-powerpoint-o:before {
  content: "\f1c4";
}
.fa-file-photo-o:before,
.fa-file-picture-o:before,
.fa-file-image-o:before {
  content: "\f1c5";
}
.fa-file-zip-o:before,
.fa-file-archive-o:before {
  content: "\f1c6";
}
.fa-file-sound-o:before,
.fa-file-audio-o:before {
  content: "\f1c7";
}
.fa-file-movie-o:before,
.fa-file-video-o:before {
  content: "\f1c8";
}
.fa-file-code-o:before {
  content: "\f1c9";
}
.fa-vine:before {
  content: "\f1ca";
}
.fa-codepen:before {
  content: "\f1cb";
}
.fa-jsfiddle:before {
  content: "\f1cc";
}
.fa-life-bouy:before,
.fa-life-buoy:before,
.fa-life-saver:before,
.fa-support:before,
.fa-life-ring:before {
  content: "\f1cd";
}
.fa-circle-o-notch:before {
  content: "\f1ce";
}
.fa-ra:before,
.fa-rebel:before {
  content: "\f1d0";
}
.fa-ge:before,
.fa-empire:before {
  content: "\f1d1";
}
.fa-git-square:before {
  content: "\f1d2";
}
.fa-git:before {
  content: "\f1d3";
}
.fa-hacker-news:before {
  content: "\f1d4";
}
.fa-tencent-weibo:before {
  content: "\f1d5";
}
.fa-qq:before {
  content: "\f1d6";
}
.fa-wechat:before,
.fa-weixin:before {
  content: "\f1d7";
}
.fa-send:before,
.fa-paper-plane:before {
  content: "\f1d8";
}
.fa-send-o:before,
.fa-paper-plane-o:before {
  content: "\f1d9";
}
.fa-history:before {
  content: "\f1da";
}
.fa-circle-thin:before {
  content: "\f1db";
}
.fa-header:before {
  content: "\f1dc";
}
.fa-paragraph:before {
  content: "\f1dd";
}
.fa-sliders:before {
  content: "\f1de";
}
.fa-share-alt:before {
  content: "\f1e0";
}
.fa-share-alt-square:before {
  content: "\f1e1";
}
.fa-bomb:before {
  content: "\f1e2";
}
.fa-soccer-ball-o:before,
.fa-futbol-o:before {
  content: "\f1e3";
}
.fa-tty:before {
  content: "\f1e4";
}
.fa-binoculars:before {
  content: "\f1e5";
}
.fa-plug:before {
  content: "\f1e6";
}
.fa-slideshare:before {
  content: "\f1e7";
}
.fa-twitch:before {
  content: "\f1e8";
}
.fa-yelp:before {
  content: "\f1e9";
}
.fa-newspaper-o:before {
  content: "\f1ea";
}
.fa-wifi:before {
  content: "\f1eb";
}
.fa-calculator:before {
  content: "\f1ec";
}
.fa-paypal:before {
  content: "\f1ed";
}
.fa-google-wallet:before {
  content: "\f1ee";
}
.fa-cc-visa:before {
  content: "\f1f0";
}
.fa-cc-mastercard:before {
  content: "\f1f1";
}
.fa-cc-discover:before {
  content: "\f1f2";
}
.fa-cc-amex:before {
  content: "\f1f3";
}
.fa-cc-paypal:before {
  content: "\f1f4";
}
.fa-cc-stripe:before {
  content: "\f1f5";
}
.fa-bell-slash:before {
  content: "\f1f6";
}
.fa-bell-slash-o:before {
  content: "\f1f7";
}
.fa-trash:before {
  content: "\f1f8";
}
.fa-copyright:before {
  content: "\f1f9";
}
.fa-at:before {
  content: "\f1fa";
}
.fa-eyedropper:before {
  content: "\f1fb";
}
.fa-paint-brush:before {
  content: "\f1fc";
}
.fa-birthday-cake:before {
  content: "\f1fd";
}
.fa-area-chart:before {
  content: "\f1fe";
}
.fa-pie-chart:before {
  content: "\f200";
}
.fa-line-chart:before {
  content: "\f201";
}
.fa-lastfm:before {
  content: "\f202";
}
.fa-lastfm-square:before {
  content: "\f203";
}
.fa-toggle-off:before {
  content: "\f204";
}
.fa-toggle-on:before {
  content: "\f205";
}
.fa-bicycle:before {
  content: "\f206";
}
.fa-bus:before {
  content: "\f207";
}
.fa-ioxhost:before {
  content: "\f208";
}
.fa-angellist:before {
  content: "\f209";
}
.fa-cc:before {
  content: "\f20a";
}
.fa-shekel:before,
.fa-sheqel:before,
.fa-ils:before {
  content: "\f20b";
}
.fa-meanpath:before {
  content: "\f20c";
}
/*!
*
* IPython base
*
*/
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
code {
  color: #000;
}
pre {
  font-size: inherit;
  line-height: inherit;
}
label {
  font-weight: normal;
}
/* Make the page background atleast 100% the height of the view port */
/* Make the page itself atleast 70% the height of the view port */
.border-box-sizing {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.corner-all {
  border-radius: 2px;
}
.no-padding {
  padding: 0px;
}
/* Flexible box model classes */
/* Taken from Alex Russell http://infrequently.org/2009/08/css-3-progress/ */
/* This file is a compatability layer.  It allows the usage of flexible box 
model layouts accross multiple browsers, including older browsers.  The newest,
universal implementation of the flexible box model is used when available (see
`Modern browsers` comments below).  Browsers that are known to implement this 
new spec completely include:

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

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

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

*/
.highlight-base {
  color: #000;
}
.highlight-variable {
  color: #000;
}
.highlight-variable-2 {
  color: #1a1a1a;
}
.highlight-variable-3 {
  color: #333333;
}
.highlight-string {
  color: #BA2121;
}
.highlight-comment {
  color: #408080;
  font-style: italic;
}
.highlight-number {
  color: #080;
}
.highlight-atom {
  color: #88F;
}
.highlight-keyword {
  color: #008000;
  font-weight: bold;
}
.highlight-builtin {
  color: #008000;
}
.highlight-error {
  color: #f00;
}
.highlight-operator {
  color: #AA22FF;
  font-weight: bold;
}
.highlight-meta {
  color: #AA22FF;
}
/* previously not defined, copying from default codemirror */
.highlight-def {
  color: #00f;
}
.highlight-string-2 {
  color: #f50;
}
.highlight-qualifier {
  color: #555;
}
.highlight-bracket {
  color: #997;
}
.highlight-tag {
  color: #170;
}
.highlight-attribute {
  color: #00c;
}
.highlight-header {
  color: blue;
}
.highlight-quote {
  color: #090;
}
.highlight-link {
  color: #00c;
}
/* apply the same style to codemirror */
.cm-s-ipython span.cm-keyword {
  color: #008000;
  font-weight: bold;
}
.cm-s-ipython span.cm-atom {
  color: #88F;
}
.cm-s-ipython span.cm-number {
  color: #080;
}
.cm-s-ipython span.cm-def {
  color: #00f;
}
.cm-s-ipython span.cm-variable {
  color: #000;
}
.cm-s-ipython span.cm-operator {
  color: #AA22FF;
  font-weight: bold;
}
.cm-s-ipython span.cm-variable-2 {
  color: #1a1a1a;
}
.cm-s-ipython span.cm-variable-3 {
  color: #333333;
}
.cm-s-ipython span.cm-comment {
  color: #408080;
  font-style: italic;
}
.cm-s-ipython span.cm-string {
  color: #BA2121;
}
.cm-s-ipython span.cm-string-2 {
  color: #f50;
}
.cm-s-ipython span.cm-meta {
  color: #AA22FF;
}
.cm-s-ipython span.cm-qualifier {
  color: #555;
}
.cm-s-ipython span.cm-builtin {
  color: #008000;
}
.cm-s-ipython span.cm-bracket {
  color: #997;
}
.cm-s-ipython span.cm-tag {
  color: #170;
}
.cm-s-ipython span.cm-attribute {
  color: #00c;
}
.cm-s-ipython span.cm-header {
  color: blue;
}
.cm-s-ipython span.cm-quote {
  color: #090;
}
.cm-s-ipython span.cm-link {
  color: #00c;
}
.cm-s-ipython span.cm-error {
  color: #f00;
}
.cm-s-ipython span.cm-tab {
  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
  background-position: right;
  background-repeat: no-repeat;
}
div.output_wrapper {
  /* this position must be relative to enable descendents to be absolute within it */
  position: relative;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  z-index: 1;
}
/* class for the output area when it should be height-limited */
div.output_scroll {
  /* ideally, this would be max-height, but FF barfs all over that */
  height: 24em;
  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
  width: 100%;
  overflow: auto;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  display: block;
}
/* output div while it is collapsed */
div.output_collapsed {
  margin: 0px;
  padding: 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
div.out_prompt_overlay {
  height: 100%;
  padding: 0px 0.4em;
  position: absolute;
  border-radius: 2px;
}
div.out_prompt_overlay:hover {
  /* use inner shadow to get border that is computed the same on WebKit/FF */
  -webkit-box-shadow: inset 0 0 1px #000;
  box-shadow: inset 0 0 1px #000;
  background: rgba(240, 240, 240, 0.5);
}
div.output_prompt {
  color: #D84315;
}
/* This class is the outer container of all output sections. */
div.output_area {
  padding: 0px;
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.output_area .MathJax_Display {
  text-align: left !important;
}
div.output_area .rendered_html table {
  margin-left: 0;
  margin-right: 0;
}
div.output_area .rendered_html img {
  margin-left: 0;
  margin-right: 0;
}
div.output_area img,
div.output_area svg {
  max-width: 100%;
  height: auto;
}
div.output_area img.unconfined,
div.output_area svg.unconfined {
  max-width: none;
}
/* This is needed to protect the pre formating from global settings such
   as that of bootstrap */
.output {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.output_area {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
div.output_area pre {
  margin: 0;
  padding: 0;
  border: 0;
  vertical-align: baseline;
  color: black;
  background-color: transparent;
  border-radius: 0;
}
/* This class is for the output subarea inside the output_area and after
   the prompt div. */
div.output_subarea {
  overflow-x: auto;
  padding: 0.4em;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
  max-width: calc(100% - 14ex);
}
div.output_scroll div.output_subarea {
  overflow-x: visible;
}
/* The rest of the output_* classes are for special styling of the different
   output types */
/* all text output has this class: */
div.output_text {
  text-align: left;
  color: #000;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
}
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
div.output_stderr {
  background: #fdd;
  /* very light red background for stderr */
}
div.output_latex {
  text-align: left;
}
/* Empty output_javascript divs should have no height */
div.output_javascript:empty {
  padding: 0;
}
.js-error {
  color: darkred;
}
/* raw_input styles */
div.raw_input_container {
  line-height: 1.21429em;
  padding-top: 5px;
}
pre.raw_input_prompt {
  /* nothing needed here. */
}
input.raw_input {
  font-family: monospace;
  font-size: inherit;
  color: inherit;
  width: auto;
  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;
  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0em 0.25em;
  margin: 0em 0.25em;
}
input.raw_input:focus {
  box-shadow: none;
}
p.p-space {
  margin-bottom: 10px;
}
div.output_unrecognized {
  padding: 5px;
  font-weight: bold;
  color: red;
}
div.output_unrecognized a {
  color: inherit;
  text-decoration: none;
}
div.output_unrecognized a:hover {
  color: inherit;
  text-decoration: none;
}
.rendered_html {
  color: #000;
  /* any extras will just be numbers: */
}
.rendered_html em {
  font-style: italic;
}
.rendered_html strong {
  font-weight: bold;
}
.rendered_html u {
  text-decoration: underline;
}
.rendered_html :link {
  text-decoration: underline;
}
.rendered_html :visited {
  text-decoration: underline;
}
.rendered_html h1 {
  font-size: 185.7%;
  margin: 1.08em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h2 {
  font-size: 157.1%;
  margin: 1.27em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h3 {
  font-size: 128.6%;
  margin: 1.55em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h4 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h5 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h6 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h1:first-child {
  margin-top: 0.538em;
}
.rendered_html h2:first-child {
  margin-top: 0.636em;
}
.rendered_html h3:first-child {
  margin-top: 0.777em;
}
.rendered_html h4:first-child {
  margin-top: 1em;
}
.rendered_html h5:first-child {
  margin-top: 1em;
}
.rendered_html h6:first-child {
  margin-top: 1em;
}
.rendered_html ul {
  list-style: disc;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ul ul {
  list-style: square;
  margin: 0em 2em;
}
.rendered_html ul ul ul {
  list-style: circle;
  margin: 0em 2em;
}
.rendered_html ol {
  list-style: decimal;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
  margin: 0em 2em;
}
.rendered_html * + ul {
  margin-top: 1em;
}
.rendered_html * + ol {
  margin-top: 1em;
}
.rendered_html hr {
  color: black;
  background-color: black;
}
.rendered_html pre {
  margin: 1em 2em;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  background-color: #fff;
  color: #000;
  font-size: 100%;
  padding: 0px;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: 1px solid black;
  border-collapse: collapse;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  border: 1px solid black;
  border-collapse: collapse;
  margin: 1em 2em;
}
.rendered_html td,
.rendered_html th {
  text-align: left;
  vertical-align: middle;
  padding: 4px;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html * + table {
  margin-top: 1em;
}
.rendered_html p {
  text-align: left;
}
.rendered_html * + p {
  margin-top: 1em;
}
.rendered_html img {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.rendered_html * + img {
  margin-top: 1em;
}
.rendered_html img,
.rendered_html svg {
  max-width: 100%;
  height: auto;
}
.rendered_html img.unconfined,
.rendered_html svg.unconfined {
  max-width: none;
}
div.text_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.text_cell > div.prompt {
    display: none;
  }
}
div.text_cell_render {
  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
  outline: none;
  resize: none;
  width: inherit;
  border-style: none;
  padding: 0.5em 0.5em 0.5em 0.4em;
  color: #000;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
a.anchor-link:link {
  text-decoration: none;
  padding: 0px 20px;
  visibility: hidden;
}
h1:hover .anchor-link,
h2:hover .anchor-link,
h3:hover .anchor-link,
h4:hover .anchor-link,
h5:hover .anchor-link,
h6:hover .anchor-link {
  visibility: visible;
}
.text_cell.rendered .input_area {
  display: none;
}
.text_cell.rendered .rendered_html {
  overflow-x: auto;
  overflow-y: hidden;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.cm-header-1,
.cm-header-2,
.cm-header-3,
.cm-header-4,
.cm-header-5,
.cm-header-6 {
  font-weight: bold;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.cm-header-1 {
  font-size: 185.7%;
}
.cm-header-2 {
  font-size: 157.1%;
}
.cm-header-3 {
  font-size: 128.6%;
}
.cm-header-4 {
  font-size: 110%;
}
.cm-header-5 {
  font-size: 100%;
  font-style: italic;
}
.cm-header-6 {
  font-size: 100%;
  font-style: italic;
}
/*!
*
* IPython notebook webapp
*
*/
@media (max-width: 767px) {
  .notebook_app {
    padding-left: 0px;
    padding-right: 0px;
  }
}
#ipython-main-app {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook_panel {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook {
  font-size: 14px;
  line-height: 20px;
  overflow-y: hidden;
  overflow-x: auto;
  width: 100%;
  /* This spaces the page away from the edge of the notebook area */
  padding-top: 20px;
  margin: 0px;
  outline: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  min-height: 100%;
}
@media not print {
  #notebook-container {
    padding: 15px;
    background-color: #fff;
    min-height: 0;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
@media print {
  #notebook-container {
    width: 100%;
  }
}
div.ui-widget-content {
  border: 1px solid #ababab;
  outline: none;
}
pre.dialog {
  background-color: #f7f7f7;
  border: 1px solid #ddd;
  border-radius: 2px;
  padding: 0.4em;
  padding-left: 2em;
}
p.dialog {
  padding: 0.2em;
}
/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
 */
pre,
code,
kbd,
samp {
  white-space: pre-wrap;
}
#fonttest {
  font-family: monospace;
}
p {
  margin-bottom: 0;
}
.end_space {
  min-height: 100px;
  transition: height .2s ease;
}
.notebook_app > #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
@media not print {
  .notebook_app {
    background-color: #EEE;
  }
}
kbd {
  border-style: solid;
  border-width: 1px;
  box-shadow: none;
  margin: 2px;
  padding-left: 2px;
  padding-right: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
/* CSS for the cell toolbar */
.celltoolbar {
  border: thin solid #CFCFCF;
  border-bottom: none;
  background: #EEE;
  border-radius: 2px 2px 0px 0px;
  width: 100%;
  height: 29px;
  padding-right: 4px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
  display: -webkit-flex;
}
@media print {
  .celltoolbar {
    display: none;
  }
}
.ctb_hideshow {
  display: none;
  vertical-align: bottom;
}
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
   Cell toolbars are only shown when the ctb_global_show class is also set.
*/
.ctb_global_show .ctb_show.ctb_hideshow {
  display: block;
}
.ctb_global_show .ctb_show + .input_area,
.ctb_global_show .ctb_show + div.text_cell_input,
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border-top-right-radius: 0px;
  border-top-left-radius: 0px;
}
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border: 1px solid #cfcfcf;
}
.celltoolbar {
  font-size: 87%;
  padding-top: 3px;
}
.celltoolbar select {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  width: inherit;
  font-size: inherit;
  height: 22px;
  padding: 0px;
  display: inline-block;
}
.celltoolbar select:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.celltoolbar select::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.celltoolbar select:-ms-input-placeholder {
  color: #999;
}
.celltoolbar select::-webkit-input-placeholder {
  color: #999;
}
.celltoolbar select::-ms-expand {
  border: 0;
  background-color: transparent;
}
.celltoolbar select[disabled],
.celltoolbar select[readonly],
fieldset[disabled] .celltoolbar select {
  background-color: #eeeeee;
  opacity: 1;
}
.celltoolbar select[disabled],
fieldset[disabled] .celltoolbar select {
  cursor: not-allowed;
}
textarea.celltoolbar select {
  height: auto;
}
select.celltoolbar select {
  height: 30px;
  line-height: 30px;
}
textarea.celltoolbar select,
select[multiple].celltoolbar select {
  height: auto;
}
.celltoolbar label {
  margin-left: 5px;
  margin-right: 5px;
}
.completions {
  position: absolute;
  z-index: 110;
  overflow: hidden;
  border: 1px solid #ababab;
  border-radius: 2px;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  line-height: 1;
}
.completions select {
  background: white;
  outline: none;
  border: none;
  padding: 0px;
  margin: 0px;
  overflow: auto;
  font-family: monospace;
  font-size: 110%;
  color: #000;
  width: auto;
}
.completions select option.context {
  color: #286090;
}
#kernel_logo_widget {
  float: right !important;
  float: right;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
#menubar {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  margin-top: 1px;
}
#menubar .navbar {
  border-top: 1px;
  border-radius: 0px 0px 2px 2px;
  margin-bottom: 0px;
}
#menubar .navbar-toggle {
  float: left;
  padding-top: 7px;
  padding-bottom: 7px;
  border: none;
}
#menubar .navbar-collapse {
  clear: left;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
.dropdown-submenu:hover > .dropdown-menu {
  display: block;
}
.dropdown-submenu > a:after {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  display: block;
  content: "\f0da";
  float: right;
  color: #333333;
  margin-top: 2px;
  margin-right: -10px;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
.dropdown-submenu:hover > a:after {
  color: #262626;
}
.dropdown-submenu.pull-left {
  float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
  left: -100%;
  margin-left: 10px;
}
#notification_area {
  float: right !important;
  float: right;
  z-index: 10;
}
.indicator_area {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
#kernel_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  border-left: 1px solid;
}
#kernel_indicator .kernel_indicator_name {
  padding-left: 5px;
  padding-right: 5px;
}
#modal_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
#readonly-indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  margin-top: 2px;
  margin-bottom: 0px;
  margin-left: 0px;
  margin-right: 0px;
  display: none;
}
.modal_indicator:before {
  width: 1.28571429em;
  text-align: center;
}
.edit_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f040";
}
.edit_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: ' ';
}
.command_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f10c";
}
.kernel_idle_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f111";
}
.kernel_busy_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f1e2";
}
.kernel_dead_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f127";
}
.kernel_disconnected_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.pull-right {
  margin-left: .3em;
}
.notification_widget {
  color: #777;
  z-index: 10;
  background: rgba(240, 240, 240, 0.5);
  margin-right: 4px;
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget:focus,
.notification_widget.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.notification_widget:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active:hover,
.notification_widget.active:hover,
.open > .dropdown-toggle.notification_widget:hover,
.notification_widget:active:focus,
.notification_widget.active:focus,
.open > .dropdown-toggle.notification_widget:focus,
.notification_widget:active.focus,
.notification_widget.active.focus,
.open > .dropdown-toggle.notification_widget.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  background-image: none;
}
.notification_widget.disabled:hover,
.notification_widget[disabled]:hover,
fieldset[disabled] .notification_widget:hover,
.notification_widget.disabled:focus,
.notification_widget[disabled]:focus,
fieldset[disabled] .notification_widget:focus,
.notification_widget.disabled.focus,
.notification_widget[disabled].focus,
fieldset[disabled] .notification_widget.focus {
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget .badge {
  color: #fff;
  background-color: #333;
}
.notification_widget.warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning:focus,
.notification_widget.warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.notification_widget.warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active:hover,
.notification_widget.warning.active:hover,
.open > .dropdown-toggle.notification_widget.warning:hover,
.notification_widget.warning:active:focus,
.notification_widget.warning.active:focus,
.open > .dropdown-toggle.notification_widget.warning:focus,
.notification_widget.warning:active.focus,
.notification_widget.warning.active.focus,
.open > .dropdown-toggle.notification_widget.warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  background-image: none;
}
.notification_widget.warning.disabled:hover,
.notification_widget.warning[disabled]:hover,
fieldset[disabled] .notification_widget.warning:hover,
.notification_widget.warning.disabled:focus,
.notification_widget.warning[disabled]:focus,
fieldset[disabled] .notification_widget.warning:focus,
.notification_widget.warning.disabled.focus,
.notification_widget.warning[disabled].focus,
fieldset[disabled] .notification_widget.warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.notification_widget.success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success:focus,
.notification_widget.success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.notification_widget.success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active:hover,
.notification_widget.success.active:hover,
.open > .dropdown-toggle.notification_widget.success:hover,
.notification_widget.success:active:focus,
.notification_widget.success.active:focus,
.open > .dropdown-toggle.notification_widget.success:focus,
.notification_widget.success:active.focus,
.notification_widget.success.active.focus,
.open > .dropdown-toggle.notification_widget.success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  background-image: none;
}
.notification_widget.success.disabled:hover,
.notification_widget.success[disabled]:hover,
fieldset[disabled] .notification_widget.success:hover,
.notification_widget.success.disabled:focus,
.notification_widget.success[disabled]:focus,
fieldset[disabled] .notification_widget.success:focus,
.notification_widget.success.disabled.focus,
.notification_widget.success[disabled].focus,
fieldset[disabled] .notification_widget.success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.notification_widget.info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info:focus,
.notification_widget.info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.notification_widget.info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active:hover,
.notification_widget.info.active:hover,
.open > .dropdown-toggle.notification_widget.info:hover,
.notification_widget.info:active:focus,
.notification_widget.info.active:focus,
.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  background-image: none;
}
.notification_widget.info.disabled:hover,
.notification_widget.info[disabled]:hover,
fieldset[disabled] .notification_widget.info:hover,
.notification_widget.info.disabled:focus,
.notification_widget.info[disabled]:focus,
fieldset[disabled] .notification_widget.info:focus,
.notification_widget.info.disabled.focus,
.notification_widget.info[disabled].focus,
fieldset[disabled] .notification_widget.info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.notification_widget.danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger:focus,
.notification_widget.danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.notification_widget.danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active:hover,
.notification_widget.danger.active:hover,
.open > .dropdown-toggle.notification_widget.danger:hover,
.notification_widget.danger:active:focus,
.notification_widget.danger.active:focus,
.open > .dropdown-toggle.notification_widget.danger:focus,
.notification_widget.danger:active.focus,
.notification_widget.danger.active.focus,
.open > .dropdown-toggle.notification_widget.danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  background-image: none;
}
.notification_widget.danger.disabled:hover,
.notification_widget.danger[disabled]:hover,
fieldset[disabled] .notification_widget.danger:hover,
.notification_widget.danger.disabled:focus,
.notification_widget.danger[disabled]:focus,
fieldset[disabled] .notification_widget.danger:focus,
.notification_widget.danger.disabled.focus,
.notification_widget.danger[disabled].focus,
fieldset[disabled] .notification_widget.danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger .badge {
  color: #d9534f;
  background-color: #fff;
}
div#pager {
  background-color: #fff;
  font-size: 14px;
  line-height: 20px;
  overflow: hidden;
  display: none;
  position: fixed;
  bottom: 0px;
  width: 100%;
  max-height: 50%;
  padding-top: 8px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  /* Display over codemirror */
  z-index: 100;
  /* Hack which prevents jquery ui resizable from changing top. */
  top: auto !important;
}
div#pager pre {
  line-height: 1.21429em;
  color: #000;
  background-color: #f7f7f7;
  padding: 0.4em;
}
div#pager #pager-button-area {
  position: absolute;
  top: 8px;
  right: 20px;
}
div#pager #pager-contents {
  position: relative;
  overflow: auto;
  width: 100%;
  height: 100%;
}
div#pager #pager-contents #pager-container {
  position: relative;
  padding: 15px 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
div#pager .ui-resizable-handle {
  top: 0px;
  height: 8px;
  background: #f7f7f7;
  border-top: 1px solid #cfcfcf;
  border-bottom: 1px solid #cfcfcf;
  /* This injects handle bars (a short, wide = symbol) for 
        the resize handle. */
}
div#pager .ui-resizable-handle::after {
  content: '';
  top: 2px;
  left: 50%;
  height: 3px;
  width: 30px;
  margin-left: -15px;
  position: absolute;
  border-top: 1px solid #cfcfcf;
}
.quickhelp {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  line-height: 1.8em;
}
.shortcut_key {
  display: inline-block;
  width: 21ex;
  text-align: right;
  font-family: monospace;
}
.shortcut_descr {
  display: inline-block;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
span.save_widget {
  margin-top: 6px;
}
span.save_widget span.filename {
  height: 1em;
  line-height: 1em;
  padding: 3px;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
  }
  span.checkpoint_status,
  span.autosave_status {
    display: none;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  span.checkpoint_status {
    display: none;
  }
  span.autosave_status {
    font-size: x-small;
  }
}
.toolbar {
  padding: 0px;
  margin-left: -5px;
  margin-top: 2px;
  margin-bottom: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.toolbar select,
.toolbar label {
  width: auto;
  vertical-align: middle;
  margin-right: 2px;
  margin-bottom: 0px;
  display: inline;
  font-size: 92%;
  margin-left: 0.3em;
  margin-right: 0.3em;
  padding: 0px;
  padding-top: 3px;
}
.toolbar .btn {
  padding: 2px 8px;
}
.toolbar .btn-group {
  margin-top: 0px;
  margin-left: 5px;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
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<div class=" highlight hl-ipython3"><pre><span></span><span class="o">%</span><span class="k">matplotlib</span> notebook
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">from</span> <span class="nn">scipy.stats</span> <span class="k">import</span> <span class="n">binom</span><span class="p">,</span> <span class="n">multinomial</span>
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<h1 id="Diablo-2-Drop-Calculations">Diablo 2 Drop Calculations<a class="anchor-link" href="#Diablo-2-Drop-Calculations">&#182;</a></h1><p>&copy; youbetterdont 2019</p>
<p>This article looks at a few of the more challenging probability calculations in Diablo 2's drop system.</p>
<h2 id="n-picks,-m-drops">n-picks, m-drops<a class="anchor-link" href="#n-picks,-m-drops">&#182;</a></h2><h3 id="Problem-Statement">Problem Statement<a class="anchor-link" href="#Problem-Statement">&#182;</a></h3><p>In Diablo 2, a monster can drop up to $m$ items, but monsters have up to $n$ picks, where $n$ is possibly greater than $m$. In practice, $m=6$ and the maximum value of $n$ is 7. We would like to know the probability that a monster drops at least $c$ of a desired item, where the probabilty is $p$ on a single pick. The chance of nodrop is $z$ on each pick. The conditional probability of dropping the item is $\frac{p}{1-z}$ on a single pick if nodrop is not selected. The monster will continue to drop items from its $n$ picks until at most $m$ items are selected.</p>
<p>The analysis will make use of binomial random variables. A binomial random variable is denoted as $B(n,p)$, where $n$ is the number of trials and $p$ is the probability of success.</p>
<h3 id="Anaylsis">Anaylsis<a class="anchor-link" href="#Anaylsis">&#182;</a></h3><p>The number of drops before the max limitaiton is $X \sim B(n, 1-z)$. The number of drops is limited to $m$, so we get the actual number of drops $Y = \mathrm{min}(X, m)$.</p>
<p>The number of desired items given $Y$ drops is $U|Y \sim B(Y, \frac{p}{(1-z)})$. We would like to find $\mathrm{Pr}(U \geq c)$ and $\mathrm{E}[U]$. We generate some example data below.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">z</span> <span class="o">=</span> <span class="mf">0.3</span> <span class="c1"># probability of nodrop</span>
<span class="n">p</span> <span class="o">=</span> <span class="mf">0.01</span> <span class="c1"># probability of wanted drop</span>
<span class="n">m</span> <span class="o">=</span> <span class="mi">6</span> <span class="c1"># maximum number of drops (drops that aren&#39;t nodrop)</span>
<span class="n">n</span> <span class="o">=</span> <span class="mi">7</span> <span class="c1"># maximum number of picks</span>

<span class="n">num_samples</span> <span class="o">=</span> <span class="mi">50000</span> <span class="c1"># number of samples to generate</span>

<span class="n">X</span> <span class="o">=</span> <span class="n">binom</span><span class="p">(</span><span class="n">n</span><span class="p">,</span><span class="mi">1</span><span class="o">-</span><span class="n">z</span><span class="p">)</span>
<span class="n">Xsamples</span> <span class="o">=</span> <span class="n">X</span><span class="o">.</span><span class="n">rvs</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="n">num_samples</span><span class="p">)</span>
<span class="n">Ysamples</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">minimum</span><span class="p">(</span><span class="n">Xsamples</span><span class="p">,</span> <span class="n">m</span><span class="p">)</span>
<span class="n">Uarr</span> <span class="o">=</span> <span class="p">[</span><span class="n">binom</span><span class="p">(</span><span class="n">y</span><span class="p">,</span><span class="n">p</span><span class="o">/</span><span class="p">(</span><span class="mi">1</span><span class="o">-</span><span class="n">z</span><span class="p">))</span> <span class="k">for</span> <span class="n">y</span> <span class="ow">in</span> <span class="n">Ysamples</span><span class="p">]</span>
<span class="n">Usamples</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">u</span><span class="o">.</span><span class="n">rvs</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="mi">1</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span> <span class="k">for</span> <span class="n">u</span> <span class="ow">in</span> <span class="n">Uarr</span><span class="p">],</span> <span class="n">dtype</span><span class="o">=</span><span class="nb">int</span><span class="p">)</span>
<span class="c1">#Usamples = np.array([np.average(u) for u in Usamples_arr], dtype=int)</span>
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<p>Plotted below, the histogram of the generated data reveals its distribution.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">((</span><span class="n">Xsamples</span><span class="p">,</span><span class="n">Ysamples</span><span class="p">,</span><span class="n">Usamples</span><span class="p">),</span> <span class="n">bins</span><span class="o">=</span><span class="nb">range</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">maximum</span><span class="p">(</span><span class="n">n</span><span class="p">,</span><span class="n">m</span><span class="p">)</span><span class="o">+</span><span class="mi">2</span><span class="p">),</span> <span class="n">log</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="s1">&#39;Xsamples&#39;</span><span class="p">,</span><span class="s1">&#39;Ysamples&#39;</span><span class="p">,</span><span class="s1">&#39;Usamples&#39;</span><span class="p">])</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;Occurences&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Histogram of generated data</span><span class="se">\n</span><span class="s1">$n=</span><span class="si">{}</span><span class="s1">,z=</span><span class="si">{}</span><span class="s1">,p=</span><span class="si">{}</span><span class="s1">$&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">n</span><span class="p">,</span><span class="n">z</span><span class="p">,</span><span class="n">p</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;Number of drops or desired items&#39;</span><span class="p">)</span>
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<div class="output_area">

<div class="prompt"></div>


<div id="19531623-fe67-4d1a-843c-df1eab0593dd"></div>
<div class="output_subarea output_javascript ">
<script type="text/javascript">
var element = $('#19531623-fe67-4d1a-843c-df1eab0593dd');
/* Put everything inside the global mpl namespace */
window.mpl = {};


mpl.get_websocket_type = function() {
    if (typeof(WebSocket) !== 'undefined') {
        return WebSocket;
    } else if (typeof(MozWebSocket) !== 'undefined') {
        return MozWebSocket;
    } else {
        alert('Your browser does not have WebSocket support.' +
              'Please try Chrome, Safari or Firefox ≥ 6. ' +
              'Firefox 4 and 5 are also supported but you ' +
              'have to enable WebSockets in about:config.');
    };
}

mpl.figure = function(figure_id, websocket, ondownload, parent_element) {
    this.id = figure_id;

    this.ws = websocket;

    this.supports_binary = (this.ws.binaryType != undefined);

    if (!this.supports_binary) {
        var warnings = document.getElementById("mpl-warnings");
        if (warnings) {
            warnings.style.display = 'block';
            warnings.textContent = (
                "This browser does not support binary websocket messages. " +
                    "Performance may be slow.");
        }
    }

    this.imageObj = new Image();

    this.context = undefined;
    this.message = undefined;
    this.canvas = undefined;
    this.rubberband_canvas = undefined;
    this.rubberband_context = undefined;
    this.format_dropdown = undefined;

    this.image_mode = 'full';

    this.root = $('<div/>');
    this._root_extra_style(this.root)
    this.root.attr('style', 'display: inline-block');

    $(parent_element).append(this.root);

    this._init_header(this);
    this._init_canvas(this);
    this._init_toolbar(this);

    var fig = this;

    this.waiting = false;

    this.ws.onopen =  function () {
            fig.send_message("supports_binary", {value: fig.supports_binary});
            fig.send_message("send_image_mode", {});
            if (mpl.ratio != 1) {
                fig.send_message("set_dpi_ratio", {'dpi_ratio': mpl.ratio});
            }
            fig.send_message("refresh", {});
        }

    this.imageObj.onload = function() {
            if (fig.image_mode == 'full') {
                // Full images could contain transparency (where diff images
                // almost always do), so we need to clear the canvas so that
                // there is no ghosting.
                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);
            }
            fig.context.drawImage(fig.imageObj, 0, 0);
        };

    this.imageObj.onunload = function() {
        fig.ws.close();
    }

    this.ws.onmessage = this._make_on_message_function(this);

    this.ondownload = ondownload;
}

mpl.figure.prototype._init_header = function() {
    var titlebar = $(
        '<div class="ui-dialog-titlebar ui-widget-header ui-corner-all ' +
        'ui-helper-clearfix"/>');
    var titletext = $(
        '<div class="ui-dialog-title" style="width: 100%; ' +
        'text-align: center; padding: 3px;"/>');
    titlebar.append(titletext)
    this.root.append(titlebar);
    this.header = titletext[0];
}


mpl.figure.prototype._canvas_extra_style = function(canvas_div) {

}


mpl.figure.prototype._root_extra_style = function(canvas_div) {

}

mpl.figure.prototype._init_canvas = function() {
    var fig = this;

    var canvas_div = $('<div/>');

    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');

    function canvas_keyboard_event(event) {
        return fig.key_event(event, event['data']);
    }

    canvas_div.keydown('key_press', canvas_keyboard_event);
    canvas_div.keyup('key_release', canvas_keyboard_event);
    this.canvas_div = canvas_div
    this._canvas_extra_style(canvas_div)
    this.root.append(canvas_div);

    var canvas = $('<canvas/>');
    canvas.addClass('mpl-canvas');
    canvas.attr('style', "left: 0; top: 0; z-index: 0; outline: 0")

    this.canvas = canvas[0];
    this.context = canvas[0].getContext("2d");

    var backingStore = this.context.backingStorePixelRatio ||
	this.context.webkitBackingStorePixelRatio ||
	this.context.mozBackingStorePixelRatio ||
	this.context.msBackingStorePixelRatio ||
	this.context.oBackingStorePixelRatio ||
	this.context.backingStorePixelRatio || 1;

    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;

    var rubberband = $('<canvas/>');
    rubberband.attr('style', "position: absolute; left: 0; top: 0; z-index: 1;")

    var pass_mouse_events = true;

    canvas_div.resizable({
        start: function(event, ui) {
            pass_mouse_events = false;
        },
        resize: function(event, ui) {
            fig.request_resize(ui.size.width, ui.size.height);
        },
        stop: function(event, ui) {
            pass_mouse_events = true;
            fig.request_resize(ui.size.width, ui.size.height);
        },
    });

    function mouse_event_fn(event) {
        if (pass_mouse_events)
            return fig.mouse_event(event, event['data']);
    }

    rubberband.mousedown('button_press', mouse_event_fn);
    rubberband.mouseup('button_release', mouse_event_fn);
    // Throttle sequential mouse events to 1 every 20ms.
    rubberband.mousemove('motion_notify', mouse_event_fn);

    rubberband.mouseenter('figure_enter', mouse_event_fn);
    rubberband.mouseleave('figure_leave', mouse_event_fn);

    canvas_div.on("wheel", function (event) {
        event = event.originalEvent;
        event['data'] = 'scroll'
        if (event.deltaY < 0) {
            event.step = 1;
        } else {
            event.step = -1;
        }
        mouse_event_fn(event);
    });

    canvas_div.append(canvas);
    canvas_div.append(rubberband);

    this.rubberband = rubberband;
    this.rubberband_canvas = rubberband[0];
    this.rubberband_context = rubberband[0].getContext("2d");
    this.rubberband_context.strokeStyle = "#000000";

    this._resize_canvas = function(width, height) {
        // Keep the size of the canvas, canvas container, and rubber band
        // canvas in synch.
        canvas_div.css('width', width)
        canvas_div.css('height', height)

        canvas.attr('width', width * mpl.ratio);
        canvas.attr('height', height * mpl.ratio);
        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');

        rubberband.attr('width', width);
        rubberband.attr('height', height);
    }

    // Set the figure to an initial 600x600px, this will subsequently be updated
    // upon first draw.
    this._resize_canvas(600, 600);

    // Disable right mouse context menu.
    $(this.rubberband_canvas).bind("contextmenu",function(e){
        return false;
    });

    function set_focus () {
        canvas.focus();
        canvas_div.focus();
    }

    window.setTimeout(set_focus, 100);
}

mpl.figure.prototype._init_toolbar = function() {
    var fig = this;

    var nav_element = $('<div/>')
    nav_element.attr('style', 'width: 100%');
    this.root.append(nav_element);

    // Define a callback function for later on.
    function toolbar_event(event) {
        return fig.toolbar_button_onclick(event['data']);
    }
    function toolbar_mouse_event(event) {
        return fig.toolbar_button_onmouseover(event['data']);
    }

    for(var toolbar_ind in mpl.toolbar_items) {
        var name = mpl.toolbar_items[toolbar_ind][0];
        var tooltip = mpl.toolbar_items[toolbar_ind][1];
        var image = mpl.toolbar_items[toolbar_ind][2];
        var method_name = mpl.toolbar_items[toolbar_ind][3];

        if (!name) {
            // put a spacer in here.
            continue;
        }
        var button = $('<button/>');
        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +
                        'ui-button-icon-only');
        button.attr('role', 'button');
        button.attr('aria-disabled', 'false');
        button.click(method_name, toolbar_event);
        button.mouseover(tooltip, toolbar_mouse_event);

        var icon_img = $('<span/>');
        icon_img.addClass('ui-button-icon-primary ui-icon');
        icon_img.addClass(image);
        icon_img.addClass('ui-corner-all');

        var tooltip_span = $('<span/>');
        tooltip_span.addClass('ui-button-text');
        tooltip_span.html(tooltip);

        button.append(icon_img);
        button.append(tooltip_span);

        nav_element.append(button);
    }

    var fmt_picker_span = $('<span/>');

    var fmt_picker = $('<select/>');
    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');
    fmt_picker_span.append(fmt_picker);
    nav_element.append(fmt_picker_span);
    this.format_dropdown = fmt_picker[0];

    for (var ind in mpl.extensions) {
        var fmt = mpl.extensions[ind];
        var option = $(
            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);
        fmt_picker.append(option)
    }

    // Add hover states to the ui-buttons
    $( ".ui-button" ).hover(
        function() { $(this).addClass("ui-state-hover");},
        function() { $(this).removeClass("ui-state-hover");}
    );

    var status_bar = $('<span class="mpl-message"/>');
    nav_element.append(status_bar);
    this.message = status_bar[0];
}

mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {
    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,
    // which will in turn request a refresh of the image.
    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});
}

mpl.figure.prototype.send_message = function(type, properties) {
    properties['type'] = type;
    properties['figure_id'] = this.id;
    this.ws.send(JSON.stringify(properties));
}

mpl.figure.prototype.send_draw_message = function() {
    if (!this.waiting) {
        this.waiting = true;
        this.ws.send(JSON.stringify({type: "draw", figure_id: this.id}));
    }
}


mpl.figure.prototype.handle_save = function(fig, msg) {
    var format_dropdown = fig.format_dropdown;
    var format = format_dropdown.options[format_dropdown.selectedIndex].value;
    fig.ondownload(fig, format);
}


mpl.figure.prototype.handle_resize = function(fig, msg) {
    var size = msg['size'];
    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {
        fig._resize_canvas(size[0], size[1]);
        fig.send_message("refresh", {});
    };
}

mpl.figure.prototype.handle_rubberband = function(fig, msg) {
    var x0 = msg['x0'] / mpl.ratio;
    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;
    var x1 = msg['x1'] / mpl.ratio;
    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;
    x0 = Math.floor(x0) + 0.5;
    y0 = Math.floor(y0) + 0.5;
    x1 = Math.floor(x1) + 0.5;
    y1 = Math.floor(y1) + 0.5;
    var min_x = Math.min(x0, x1);
    var min_y = Math.min(y0, y1);
    var width = Math.abs(x1 - x0);
    var height = Math.abs(y1 - y0);

    fig.rubberband_context.clearRect(
        0, 0, fig.canvas.width, fig.canvas.height);

    fig.rubberband_context.strokeRect(min_x, min_y, width, height);
}

mpl.figure.prototype.handle_figure_label = function(fig, msg) {
    // Updates the figure title.
    fig.header.textContent = msg['label'];
}

mpl.figure.prototype.handle_cursor = function(fig, msg) {
    var cursor = msg['cursor'];
    switch(cursor)
    {
    case 0:
        cursor = 'pointer';
        break;
    case 1:
        cursor = 'default';
        break;
    case 2:
        cursor = 'crosshair';
        break;
    case 3:
        cursor = 'move';
        break;
    }
    fig.rubberband_canvas.style.cursor = cursor;
}

mpl.figure.prototype.handle_message = function(fig, msg) {
    fig.message.textContent = msg['message'];
}

mpl.figure.prototype.handle_draw = function(fig, msg) {
    // Request the server to send over a new figure.
    fig.send_draw_message();
}

mpl.figure.prototype.handle_image_mode = function(fig, msg) {
    fig.image_mode = msg['mode'];
}

mpl.figure.prototype.updated_canvas_event = function() {
    // Called whenever the canvas gets updated.
    this.send_message("ack", {});
}

// A function to construct a web socket function for onmessage handling.
// Called in the figure constructor.
mpl.figure.prototype._make_on_message_function = function(fig) {
    return function socket_on_message(evt) {
        if (evt.data instanceof Blob) {
            /* FIXME: We get "Resource interpreted as Image but
             * transferred with MIME type text/plain:" errors on
             * Chrome.  But how to set the MIME type?  It doesn't seem
             * to be part of the websocket stream */
            evt.data.type = "image/png";

            /* Free the memory for the previous frames */
            if (fig.imageObj.src) {
                (window.URL || window.webkitURL).revokeObjectURL(
                    fig.imageObj.src);
            }

            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(
                evt.data);
            fig.updated_canvas_event();
            fig.waiting = false;
            return;
        }
        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == "data:image/png;base64") {
            fig.imageObj.src = evt.data;
            fig.updated_canvas_event();
            fig.waiting = false;
            return;
        }

        var msg = JSON.parse(evt.data);
        var msg_type = msg['type'];

        // Call the  "handle_{type}" callback, which takes
        // the figure and JSON message as its only arguments.
        try {
            var callback = fig["handle_" + msg_type];
        } catch (e) {
            console.log("No handler for the '" + msg_type + "' message type: ", msg);
            return;
        }

        if (callback) {
            try {
                // console.log("Handling '" + msg_type + "' message: ", msg);
                callback(fig, msg);
            } catch (e) {
                console.log("Exception inside the 'handler_" + msg_type + "' callback:", e, e.stack, msg);
            }
        }
    };
}

// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas
mpl.findpos = function(e) {
    //this section is from http://www.quirksmode.org/js/events_properties.html
    var targ;
    if (!e)
        e = window.event;
    if (e.target)
        targ = e.target;
    else if (e.srcElement)
        targ = e.srcElement;
    if (targ.nodeType == 3) // defeat Safari bug
        targ = targ.parentNode;

    // jQuery normalizes the pageX and pageY
    // pageX,Y are the mouse positions relative to the document
    // offset() returns the position of the element relative to the document
    var x = e.pageX - $(targ).offset().left;
    var y = e.pageY - $(targ).offset().top;

    return {"x": x, "y": y};
};

/*
 * return a copy of an object with only non-object keys
 * we need this to avoid circular references
 * http://stackoverflow.com/a/24161582/3208463
 */
function simpleKeys (original) {
  return Object.keys(original).reduce(function (obj, key) {
    if (typeof original[key] !== 'object')
        obj[key] = original[key]
    return obj;
  }, {});
}

mpl.figure.prototype.mouse_event = function(event, name) {
    var canvas_pos = mpl.findpos(event)

    if (name === 'button_press')
    {
        this.canvas.focus();
        this.canvas_div.focus();
    }

    var x = canvas_pos.x * mpl.ratio;
    var y = canvas_pos.y * mpl.ratio;

    this.send_message(name, {x: x, y: y, button: event.button,
                             step: event.step,
                             guiEvent: simpleKeys(event)});

    /* This prevents the web browser from automatically changing to
     * the text insertion cursor when the button is pressed.  We want
     * to control all of the cursor setting manually through the
     * 'cursor' event from matplotlib */
    event.preventDefault();
    return false;
}

mpl.figure.prototype._key_event_extra = function(event, name) {
    // Handle any extra behaviour associated with a key event
}

mpl.figure.prototype.key_event = function(event, name) {

    // Prevent repeat events
    if (name == 'key_press')
    {
        if (event.which === this._key)
            return;
        else
            this._key = event.which;
    }
    if (name == 'key_release')
        this._key = null;

    var value = '';
    if (event.ctrlKey && event.which != 17)
        value += "ctrl+";
    if (event.altKey && event.which != 18)
        value += "alt+";
    if (event.shiftKey && event.which != 16)
        value += "shift+";

    value += 'k';
    value += event.which.toString();

    this._key_event_extra(event, name);

    this.send_message(name, {key: value,
                             guiEvent: simpleKeys(event)});
    return false;
}

mpl.figure.prototype.toolbar_button_onclick = function(name) {
    if (name == 'download') {
        this.handle_save(this, null);
    } else {
        this.send_message("toolbar_button", {name: name});
    }
};

mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {
    this.message.textContent = tooltip;
};
mpl.toolbar_items = [["Home", "Reset original view", "fa fa-home icon-home", "home"], ["Back", "Back to previous view", "fa fa-arrow-left icon-arrow-left", "back"], ["Forward", "Forward to next view", "fa fa-arrow-right icon-arrow-right", "forward"], ["", "", "", ""], ["Pan", "Pan axes with left mouse, zoom with right", "fa fa-arrows icon-move", "pan"], ["Zoom", "Zoom to rectangle", "fa fa-square-o icon-check-empty", "zoom"], ["", "", "", ""], ["Download", "Download plot", "fa fa-floppy-o icon-save", "download"]];

mpl.extensions = ["eps", "pdf", "png", "ps", "raw", "svg"];

mpl.default_extension = "png";var comm_websocket_adapter = function(comm) {
    // Create a "websocket"-like object which calls the given IPython comm
    // object with the appropriate methods. Currently this is a non binary
    // socket, so there is still some room for performance tuning.
    var ws = {};

    ws.close = function() {
        comm.close()
    };
    ws.send = function(m) {
        //console.log('sending', m);
        comm.send(m);
    };
    // Register the callback with on_msg.
    comm.on_msg(function(msg) {
        //console.log('receiving', msg['content']['data'], msg);
        // Pass the mpl event to the overridden (by mpl) onmessage function.
        ws.onmessage(msg['content']['data'])
    });
    return ws;
}

mpl.mpl_figure_comm = function(comm, msg) {
    // This is the function which gets called when the mpl process
    // starts-up an IPython Comm through the "matplotlib" channel.

    var id = msg.content.data.id;
    // Get hold of the div created by the display call when the Comm
    // socket was opened in Python.
    var element = $("#" + id);
    var ws_proxy = comm_websocket_adapter(comm)

    function ondownload(figure, format) {
        window.open(figure.imageObj.src);
    }

    var fig = new mpl.figure(id, ws_proxy,
                           ondownload,
                           element.get(0));

    // Call onopen now - mpl needs it, as it is assuming we've passed it a real
    // web socket which is closed, not our websocket->open comm proxy.
    ws_proxy.onopen();

    fig.parent_element = element.get(0);
    fig.cell_info = mpl.find_output_cell("<div id='" + id + "'></div>");
    if (!fig.cell_info) {
        console.error("Failed to find cell for figure", id, fig);
        return;
    }

    var output_index = fig.cell_info[2]
    var cell = fig.cell_info[0];

};

mpl.figure.prototype.handle_close = function(fig, msg) {
    var width = fig.canvas.width/mpl.ratio
    fig.root.unbind('remove')

    // Update the output cell to use the data from the current canvas.
    fig.push_to_output();
    var dataURL = fig.canvas.toDataURL();
    // Re-enable the keyboard manager in IPython - without this line, in FF,
    // the notebook keyboard shortcuts fail.
    IPython.keyboard_manager.enable()
    $(fig.parent_element).html('<img src="' + dataURL + '" width="' + width + '">');
    fig.close_ws(fig, msg);
}

mpl.figure.prototype.close_ws = function(fig, msg){
    fig.send_message('closing', msg);
    // fig.ws.close()
}

mpl.figure.prototype.push_to_output = function(remove_interactive) {
    // Turn the data on the canvas into data in the output cell.
    var width = this.canvas.width/mpl.ratio
    var dataURL = this.canvas.toDataURL();
    this.cell_info[1]['text/html'] = '<img src="' + dataURL + '" width="' + width + '">';
}

mpl.figure.prototype.updated_canvas_event = function() {
    // Tell IPython that the notebook contents must change.
    IPython.notebook.set_dirty(true);
    this.send_message("ack", {});
    var fig = this;
    // Wait a second, then push the new image to the DOM so
    // that it is saved nicely (might be nice to debounce this).
    setTimeout(function () { fig.push_to_output() }, 1000);
}

mpl.figure.prototype._init_toolbar = function() {
    var fig = this;

    var nav_element = $('<div/>')
    nav_element.attr('style', 'width: 100%');
    this.root.append(nav_element);

    // Define a callback function for later on.
    function toolbar_event(event) {
        return fig.toolbar_button_onclick(event['data']);
    }
    function toolbar_mouse_event(event) {
        return fig.toolbar_button_onmouseover(event['data']);
    }

    for(var toolbar_ind in mpl.toolbar_items){
        var name = mpl.toolbar_items[toolbar_ind][0];
        var tooltip = mpl.toolbar_items[toolbar_ind][1];
        var image = mpl.toolbar_items[toolbar_ind][2];
        var method_name = mpl.toolbar_items[toolbar_ind][3];

        if (!name) { continue; };

        var button = $('<button class="btn btn-default" href="#" title="' + name + '"><i class="fa ' + image + ' fa-lg"></i></button>');
        button.click(method_name, toolbar_event);
        button.mouseover(tooltip, toolbar_mouse_event);
        nav_element.append(button);
    }

    // Add the status bar.
    var status_bar = $('<span class="mpl-message" style="text-align:right; float: right;"/>');
    nav_element.append(status_bar);
    this.message = status_bar[0];

    // Add the close button to the window.
    var buttongrp = $('<div class="btn-group inline pull-right"></div>');
    var button = $('<button class="btn btn-mini btn-primary" href="#" title="Stop Interaction"><i class="fa fa-power-off icon-remove icon-large"></i></button>');
    button.click(function (evt) { fig.handle_close(fig, {}); } );
    button.mouseover('Stop Interaction', toolbar_mouse_event);
    buttongrp.append(button);
    var titlebar = this.root.find($('.ui-dialog-titlebar'));
    titlebar.prepend(buttongrp);
}

mpl.figure.prototype._root_extra_style = function(el){
    var fig = this
    el.on("remove", function(){
	fig.close_ws(fig, {});
    });
}

mpl.figure.prototype._canvas_extra_style = function(el){
    // this is important to make the div 'focusable
    el.attr('tabindex', 0)
    // reach out to IPython and tell the keyboard manager to turn it's self
    // off when our div gets focus

    // location in version 3
    if (IPython.notebook.keyboard_manager) {
        IPython.notebook.keyboard_manager.register_events(el);
    }
    else {
        // location in version 2
        IPython.keyboard_manager.register_events(el);
    }

}

mpl.figure.prototype._key_event_extra = function(event, name) {
    var manager = IPython.notebook.keyboard_manager;
    if (!manager)
        manager = IPython.keyboard_manager;

    // Check for shift+enter
    if (event.shiftKey && event.which == 13) {
        this.canvas_div.blur();
        event.shiftKey = false;
        // Send a "J" for go to next cell
        event.which = 74;
        event.keyCode = 74;
        manager.command_mode();
        manager.handle_keydown(event);
    }
}

mpl.figure.prototype.handle_save = function(fig, msg) {
    fig.ondownload(fig, null);
}


mpl.find_output_cell = function(html_output) {
    // Return the cell and output element which can be found *uniquely* in the notebook.
    // Note - this is a bit hacky, but it is done because the "notebook_saving.Notebook"
    // IPython event is triggered only after the cells have been serialised, which for
    // our purposes (turning an active figure into a static one), is too late.
    var cells = IPython.notebook.get_cells();
    var ncells = cells.length;
    for (var i=0; i<ncells; i++) {
        var cell = cells[i];
        if (cell.cell_type === 'code'){
            for (var j=0; j<cell.output_area.outputs.length; j++) {
                var data = cell.output_area.outputs[j];
                if (data.data) {
                    // IPython >= 3 moved mimebundle to data attribute of output
                    data = data.data;
                }
                if (data['text/html'] == html_output) {
                    return [cell, data, j];
                }
            }
        }
    }
}

// Register the function which deals with the matplotlib target/channel.
// The kernel may be null if the page has been refreshed.
if (IPython.notebook.kernel != null) {
    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);
}

</script>
</div>

</div>

<div class="output_area">

<div class="prompt"></div>


<div class="output_html rendered_html output_subarea ">
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" 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<pre>Text(0.5, 0, &#39;Number of drops or desired items&#39;)</pre>
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<p>Using <code>scipy.stats.binom.expect</code>, it is easy to get an accurate estimate on the expected value of $Y$.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Expected value of Y using binom.expect: </span><span class="si">{:.6f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">X</span><span class="o">.</span><span class="n">expect</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">minimum</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">m</span><span class="p">))))</span>
<span class="c1">#print(&#39;Intermediate formula: {}&#39;.format(X.expect(ub=m, conditional=True)*X.cdf(m)+m*(1-X.cdf(m))))</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Average of Ysamples: </span><span class="si">{:.6f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">average</span><span class="p">(</span><span class="n">Ysamples</span><span class="p">)))</span>
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<pre>Expected value of Y using binom.expect: 4.817646
Average of Ysamples: 4.821160
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<h4 id="Probability">Probability<a class="anchor-link" href="#Probability">&#182;</a></h4><p>By the law of total probability,</p>
<p>\begin{align}
\mathrm{Pr}(U \geq c) &amp;= \sum_{k=0}^{m} \mathrm{Pr}(U \geq c| Y=k) \cdot \mathrm{Pr}(Y=k),
\end{align}</p>
<p>where $U | Y=k \sim B(k, \frac{p}{1-z})$, that is, the random variable $U$ given $Y=k$ is itself a binomial random variable. The probability of $Y=k$ is</p>
<p>\begin{align}
\mathrm{Pr}(Y=k)&amp;= \begin{cases} 
      \mathrm{Pr}(X=k) &amp; k &lt; m \\
      \mathrm{Pr}(X \geq m) &amp; k = m \\
      0 &amp; k &gt; m
   \end{cases}.
\end{align}</p>
<p>The probability of $U \geq c$ is then</p>
<p>\begin{align}
\mathrm{Pr}(U \geq c) &amp;= \mathrm{Pr}(U \geq c | Y=m) \cdot \mathrm{Pr}(X \geq m)  + \sum_{k=0}^{m-1} \mathrm{Pr}(U \geq c| Y=k) \cdot \mathrm{Pr}(X=k) \\
                      &amp;= \mathrm{Pr}(U \geq c | Y=m) \cdot \mathrm{Pr}(X &gt; m)  + \sum_{k=0}^{m} \mathrm{Pr}(U \geq c| Y=k) \cdot \mathrm{Pr}(X=k).
\end{align}</p>
<p>The above form of the solution can be evaluated easily using the CDFs of standard binomial random variables $U|Y=k$ and $X$. We can check this against the empirical results from the generated data.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">m</span><span class="o">+</span><span class="mi">1</span><span class="p">):</span>
    <span class="n">EPrUsamples_geq_c</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">Usamples</span><span class="o">&gt;=</span><span class="n">c</span><span class="p">)</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">Usamples</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Empirical probability of U&gt;=</span><span class="si">{}</span><span class="s1">: </span><span class="si">{:.9f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">c</span><span class="p">,</span> <span class="n">EPrUsamples_geq_c</span><span class="p">))</span>
    <span class="n">PrUsamples_geq_c</span> <span class="o">=</span> <span class="n">binom</span><span class="o">.</span><span class="n">sf</span><span class="p">(</span><span class="n">c</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">m</span><span class="p">,</span> <span class="n">p</span><span class="o">/</span><span class="p">(</span><span class="mi">1</span><span class="o">-</span><span class="n">z</span><span class="p">))</span><span class="o">*</span><span class="n">X</span><span class="o">.</span><span class="n">sf</span><span class="p">(</span><span class="n">m</span><span class="p">)</span><span class="o">+</span><span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">([</span><span class="n">binom</span><span class="o">.</span><span class="n">sf</span><span class="p">(</span><span class="n">c</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">p</span><span class="o">/</span><span class="p">(</span><span class="mi">1</span><span class="o">-</span><span class="n">z</span><span class="p">))</span><span class="o">*</span><span class="n">X</span><span class="o">.</span><span class="n">pmf</span><span class="p">(</span><span class="n">k</span><span class="p">)</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">m</span><span class="o">+</span><span class="mi">1</span><span class="p">)])</span>
    <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Pr(U&gt;=</span><span class="si">{}</span><span class="s1">)=</span><span class="si">{:.9f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">c</span><span class="p">,</span><span class="n">PrUsamples_geq_c</span><span class="p">))</span>
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<pre>Empirical probability of U&gt;=1: 0.065060000
Pr(U&gt;=1)=0.066855470
Empirical probability of U&gt;=2: 0.001480000
Pr(U&gt;=2)=0.001937200
Empirical probability of U&gt;=3: 0.000000000
Pr(U&gt;=3)=0.000030562
Empirical probability of U&gt;=4: 0.000000000
Pr(U&gt;=4)=0.000000276
Empirical probability of U&gt;=5: 0.000000000
Pr(U&gt;=5)=0.000000001
Empirical probability of U&gt;=6: 0.000000000
Pr(U&gt;=6)=0.000000000
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<p>The results from the formulas closely match the empirical results, within the margin of error we would expect given the sample size.</p>
<p>As a sanity check, we can consider the case where $n \leq m$.</p>
<p>If $n \leq m$, then $X = Y$ and $U|X \sim B(X, \frac{p}{1-z})$. It follows that $U \sim B(n,p)$, which is simply the number of desired items in $n$ picks. This is the distribution we would expect without the complication of the $m$ pick limit. We can expand the first form to show that that this result is equivalent to the general result above when $n \leq m$.</p>
<p>\begin{align}
\mathrm{if}~n \leq m\mathrm{:}\quad\quad&amp;\\
\mathrm{Pr}(U \geq c) &amp;= \sum_{k=0}^{n} \mathrm{Pr}(U \geq c| X=k) \cdot \mathrm{Pr}(X=k) \\
                      &amp;= \sum_{k=0}^{m} \mathrm{Pr}(U \geq c| Y=k) \cdot \mathrm{Pr}(Y=k)
\end{align}</p>
<h4 id="Expectation">Expectation<a class="anchor-link" href="#Expectation">&#182;</a></h4><p>By the law of total expectation, the expected number of wanted drops is</p>
<p>\begin{align}
\mathrm{E}[U] &amp;= \sum_{k=0}^{m} \mathrm{E}[U | Y=k] \cdot \mathrm{Pr}(Y=k) \\
              &amp;= \mathrm{E}[U | Y=m] \cdot \mathrm{Pr}(X \geq m)  + \sum_{k=0}^{m-1} \mathrm{E}[U | Y=k] \cdot \mathrm{Pr}(X=k) \\
              &amp;= \mathrm{E}[U | Y=m] \cdot \mathrm{Pr}(X &gt; m)  + \sum_{k=0}^{m} \mathrm{E}[U | Y=k] \cdot \mathrm{Pr}(X=k) \\
              &amp;= \frac{p}{1-z} \left (m \cdot \mathrm{Pr}(X &gt; m)  + \sum_{k=0}^{m} k \cdot \mathrm{Pr}(X=k) \right )
\end{align}</p>
<p>If $n = m+1$, then</p>
<p>\begin{align}
\mathrm{E}[U] &amp;= \frac{p}{1-z} \left (m \cdot \mathrm{Pr}(X = m + 1)  + \sum_{k=0}^{m} k \cdot \mathrm{Pr}(X=k) \right ) \\
              &amp;= \frac{p}{1-z} \left (- \mathrm{Pr}(X = m + 1)  + \sum_{k=0}^{m+1} k \cdot \mathrm{Pr}(X=k) \right ) \\
              &amp;= \frac{p}{1-z} \left (\mathrm{E}[X] - \mathrm{Pr}(X=m+1) \right ) \\
              &amp;= p \left (n - \frac{\mathrm{Pr}(X=m+1)}{1-z} \right ) \\
              &amp;= p \left (m+1 - (1-z)^m \right )
\end{align}</p>
<p>We can easily check the $\mathrm{E}[U]$ result by comparing to the average of the generated <code>Usamples</code>. The resulting relative error is very small and within the margin of error we would expected given the sample size.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Usamples_mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">average</span><span class="p">(</span><span class="n">Usamples</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Average of Usamples: </span><span class="si">{:.6f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">Usamples_mean</span><span class="p">))</span>
<span class="n">EU_formula</span> <span class="o">=</span> <span class="n">p</span><span class="o">*</span><span class="p">(</span><span class="n">m</span><span class="o">+</span><span class="mi">1</span><span class="o">-</span><span class="p">(</span><span class="mi">1</span><span class="o">-</span><span class="n">z</span><span class="p">)</span><span class="o">**</span><span class="n">m</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Formula for expected value of U with n=m+1: </span><span class="si">{:.6f}</span><span class="s1"> (exact solution)&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">EU_formula</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Relative error: </span><span class="si">{:.6f}</span><span class="s1"> (due to variance of E[U])&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">((</span><span class="n">EU_formula</span><span class="o">-</span><span class="n">Usamples_mean</span><span class="p">)</span><span class="o">/</span><span class="n">Usamples_mean</span><span class="p">))</span>
<span class="c1">#print(p/(1-z)*(m*X.sf(m-1)+np.sum([k*X.pmf(k) for k in range(m)])))</span>
<span class="c1">#print(binom.expect(args=(m,p/(1-z)))*X.sf(m-1)+np.sum([binom.expect(args=(k,p/(1-z)))*X.pmf(k) for k in range(m)]))</span>
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<pre>Average of Usamples: 0.066540
Formula for expected value of U with n=m+1: 0.068824 (exact solution)
Relative error: 0.034318 (due to variance of E[U])
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<h2 id="Negative-Picks">Negative Picks<a class="anchor-link" href="#Negative-Picks">&#182;</a></h2><h3 id="Problem-Statement">Problem Statement<a class="anchor-link" href="#Problem-Statement">&#182;</a></h3><p>If the picks column is negative, then the selected TCs are not random. The game will drop the specified TCs in order and quantity listed. For example, the TC <code>Countess</code> has <code>Picks=-2</code> and TCs ordered as <code>Countess Item</code> with <code>Prob=1</code> and <code>Countess Rune</code> with <code>Prob=1</code>. This means <code>Countess</code> will first drop from <code>Countess Item</code> once, then from <code>Countess Rune</code> once.</p>
<p>This means that the TCs with <code>Picks&lt;0</code> should not be included in the probability graph. Rather, the monsters that drop from such TCs should reference the derivative TCs with <code>Picks&gt;0</code> directly. The process is equivalent to killing two or more monsters, where each monster drops from a TC with <code>Picks&gt;0</code>, with the exception that if more than $m$ drops are generated, we can only take the first $m$. The number of monsters is $q$.</p>
<p>The first monster has probability $p_1$ to drop the item and $z_1$ of <code>NoDrop</code>, the second $p_2$ and $z_2$, and so on. The first monster has $n_1$ picks, the second $n_2$ picks, and so on.</p>
<p>The number of drops from the first monster before the $m$ drop limitation is $X_1 \sim B(n_1, 1-z_1)$. Applying the limitation, the number of drops is then $Y_1 = \mathrm{min}(X_1, m)$. For the second monster, $X_2 \sim B(n_2, 1-z_2)$ and $Y_2 = \mathrm{min}(X_2, m-Y_1)$. For the $q$th monster, $X_q \sim B(n_q, 1-z_q)$ and $Y_q = \mathrm{min}(X_q, m-\sum_{k=1}^{q-1} Y_{k})$. The number of wanted items from each monster given $Y_i$ is $U_i|Y_i \sim B(Y_i, \frac{p_i}{1-z_i})$ where $i \in \{1,\dotsc,q\}$. The total number of wanted items is then $U = \sum_{k=1}^{q} U_k$.</p>
<p>We would like to find both $\mathrm{Pr}(U \geq c)$ and $\mathrm{E}[U]$.</p>
<h3 id="Analysis-for-$q=2$">Analysis for $q=2$<a class="anchor-link" href="#Analysis-for-$q=2$">&#182;</a></h3><p>The probabilty and expectation of random variables $X_1$, $Y_1$, and $U_1$ has already been completed in the <em>n-drops, m-picks</em> analysis.</p>
<h4 id="Probability">Probability<a class="anchor-link" href="#Probability">&#182;</a></h4><p>We will focus on $X_2$, $Y_2$, and $U_2$. The number of desired items given $Y_2$ is $U_2|Y_2 \sim B(Y_2, \frac{p_2}{1-z_2})$. By the law of total probability,</p>
<p>\begin{align}
\mathrm{Pr}(U_2 \geq c) = \sum_{k=0}^{m} \mathrm{Pr}(U_2 \geq c | Y_2 = k) \cdot \mathrm{Pr}(Y_2=k),
\end{align}</p>
<p>where $U_2|Y_2=k \sim B(k,\frac{p_2}{1-z_2})$. The number of drops is $Y_2 = \mathrm{min}(X_2, m-Y_1)$. The probability that $Y_2=k$ is</p>
<p>\begin{align}
\mathrm{Pr}(Y_2=k)&amp;= \begin{cases} 
      \mathrm{Pr}(X_2=k)\cdot\mathrm{Pr}(Y_1 &lt; m-k) + \mathrm{Pr}(Y_1=m-k)\cdot\mathrm{Pr}(X_2 &gt; k) + \mathrm{Pr}(X_2=k) \cdot \mathrm{Pr}(Y_1=m-k) &amp; k &lt; m \\
      \mathrm{Pr}(X_2 \geq m)\cdot\mathrm{Pr}(Y_1=0) &amp; k = m \\
      0 &amp; k &gt; m
   \end{cases}.
\end{align}</p>
<p>At this point, it probably makes sense to assume $n_i \leq m$. There is no situation in the game where a TC with negative picks leads to a TC with $n_i &gt; m$. If $n_i \leq m$, then $Y_1 = X_1$ and</p>
<p>\begin{align}
\mathrm{Pr}(Y_2=k)&amp;= 
      \mathrm{Pr}(X_2=k)\cdot\mathrm{Pr}(X_1 &lt; m-k) + \mathrm{Pr}(X_1=m-k)\cdot\mathrm{Pr}(X_2 &gt; k) + \mathrm{Pr}(X_2=k) \cdot \mathrm{Pr}(X_1=m-k) .
\end{align}</p>
<p>Substituting above, we now have an expression for $\mathrm{Pr}(U_2 \geq c)$ that can be evaluated using the PMFs and CDFs of standard binomial random variables. Because of the $n_1 \leq m$ assumption, we have that $U_1 \sim B(n_1, p_1)$. The probability $U_1 \geq c$ is then also easily found using the CDF. The probability of the $U \geq c$ is found as</p>
<p>\begin{align}
\mathrm{Pr}(U \geq c) &amp;= \mathrm{Pr}(U_1 + U_2 \geq c).
\end{align}</p>
<p>The PMF of the above may be very difficult to compute analytically. At this point, let's restrict $c=1$, then</p>
<p>\begin{align}
\mathrm{Pr}(U \geq 1) &amp;= \mathrm{Pr}(U_1 + U_2 \geq 1) \\
&amp;= 1 - \mathrm{Pr}(U_1 = 0 \cap U_2 = 0) \\
&amp;= 1 - \mathrm{Pr}(U_1 = 0 | U_2 = 0) \cdot \mathrm{Pr}( U_2 = 0),
\end{align}</p>
<p>where</p>
<p>\begin{align}
\mathrm{Pr}(U_2 = 0) = \sum_{k=0}^{m} \mathrm{Pr}(U_2 = 0 | Y_2 = k) \cdot \mathrm{Pr}(Y_2=k).
\end{align}</p>
<p>Now the problem is that $U_1$ and $U_2$ are not independent. However, the error introduced by assuming independence is small given that the product of the probabilities $p_1p_2$ is small. Either $U_1=0$ most of the time, or $U_2=0$ most of the time, and either condition results in little effect on the distribution of the other. In other words, we are still sampling a large percentage of the total population of $U_1$ when $U_2=0$. We can then write</p>
<p>\begin{align}
\mathrm{Pr}(U \geq 1) \approx 1 - \mathrm{Pr}(U_1 = 0) \cdot \mathrm{Pr}( U_2 = 0).
\end{align}</p>
<p>Next, we generate some data to validate the assumption.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">z1</span> <span class="o">=</span> <span class="mf">0.3</span> <span class="c1"># probability of nodrop</span>
<span class="n">p1</span> <span class="o">=</span> <span class="mf">0.01</span> <span class="c1"># probability of wanted drop</span>
<span class="n">n1</span> <span class="o">=</span> <span class="mi">5</span> <span class="c1"># maximum number of picks</span>

<span class="n">X1</span> <span class="o">=</span> <span class="n">binom</span><span class="p">(</span><span class="n">n1</span><span class="p">,</span><span class="mi">1</span><span class="o">-</span><span class="n">z1</span><span class="p">)</span>
<span class="n">X1samples</span> <span class="o">=</span> <span class="n">X1</span><span class="o">.</span><span class="n">rvs</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="n">num_samples</span><span class="p">)</span>
<span class="n">Y1samples</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">minimum</span><span class="p">(</span><span class="n">X1samples</span><span class="p">,</span> <span class="n">m</span><span class="p">)</span>
<span class="n">U1arr</span> <span class="o">=</span> <span class="p">[</span><span class="n">binom</span><span class="p">(</span><span class="n">y</span><span class="p">,</span><span class="n">p1</span><span class="o">/</span><span class="p">(</span><span class="mi">1</span><span class="o">-</span><span class="n">z1</span><span class="p">))</span> <span class="k">for</span> <span class="n">y</span> <span class="ow">in</span> <span class="n">Y1samples</span><span class="p">]</span>
<span class="n">U1samples</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">u</span><span class="o">.</span><span class="n">rvs</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="mi">1</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span> <span class="k">for</span> <span class="n">u</span> <span class="ow">in</span> <span class="n">U1arr</span><span class="p">],</span> <span class="n">dtype</span><span class="o">=</span><span class="nb">int</span><span class="p">)</span>
<span class="c1">#U1samples = np.array([np.average(u) for u in U1samples_arr], dtype=int)</span>

<span class="n">n2</span> <span class="o">=</span> <span class="mi">4</span>
<span class="n">p2</span> <span class="o">=</span> <span class="mf">0.05</span>
<span class="n">z2</span> <span class="o">=</span> <span class="mf">0.35</span>
<span class="n">X2</span> <span class="o">=</span> <span class="n">binom</span><span class="p">(</span><span class="n">n2</span><span class="p">,</span> <span class="mi">1</span><span class="o">-</span><span class="n">z2</span><span class="p">)</span>
<span class="n">X2samples</span> <span class="o">=</span> <span class="n">X2</span><span class="o">.</span><span class="n">rvs</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="n">num_samples</span><span class="p">)</span>
<span class="n">Y2samples</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">minimum</span><span class="p">(</span><span class="n">X2samples</span><span class="p">,</span> <span class="n">m</span><span class="o">-</span><span class="n">Y1samples</span><span class="p">)</span>
<span class="n">U2arr</span> <span class="o">=</span> <span class="p">[</span><span class="n">binom</span><span class="p">(</span><span class="n">y</span><span class="p">,</span><span class="n">p2</span><span class="o">/</span><span class="p">(</span><span class="mi">1</span><span class="o">-</span><span class="n">z2</span><span class="p">))</span> <span class="k">for</span> <span class="n">y</span> <span class="ow">in</span> <span class="n">Y2samples</span><span class="p">]</span>
<span class="n">U2samples</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">u</span><span class="o">.</span><span class="n">rvs</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="mi">1</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span> <span class="k">for</span> <span class="n">u</span> <span class="ow">in</span> <span class="n">U2arr</span><span class="p">],</span> <span class="n">dtype</span><span class="o">=</span><span class="nb">int</span><span class="p">)</span>
<span class="c1">#U2samples = np.array([np.average(u) for u in U2samples_arr], dtype=int)</span>
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<p>We plot the histograms of the distributions and compare them to the histograms with the $U_i=0$ condition. We also plot $U_1$ and $U_2$ on a scatterplot to see if there is any obvious correlation. Additionally, we compute the Pearson correlation coefficient and relative error introduced by the unconditional probability estimate.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">((</span><span class="n">U1samples</span><span class="p">,</span> <span class="n">U1samples</span><span class="p">[</span><span class="n">U2samples</span><span class="o">==</span><span class="mi">0</span><span class="p">]),</span> <span class="n">density</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="nb">range</span><span class="p">(</span><span class="n">m</span><span class="o">+</span><span class="mi">2</span><span class="p">),</span> <span class="n">log</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="s1">&#39;U1&#39;</span><span class="p">,</span> <span class="s1">&#39;U1|U2=0&#39;</span><span class="p">])</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Distribution of $U1$ and $U1|U2=0$</span><span class="se">\n</span><span class="s1">$n_1=</span><span class="si">{}</span><span class="s1">,z_1=</span><span class="si">{}</span><span class="s1">,p_1=</span><span class="si">{}</span><span class="s1">$&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">n1</span><span class="p">,</span><span class="n">z1</span><span class="p">,</span><span class="n">p1</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;Normalized occurences&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;Wanted item drops from 1st monster&#39;</span><span class="p">)</span>

<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">((</span><span class="n">U2samples</span><span class="p">,</span> <span class="n">U2samples</span><span class="p">[</span><span class="n">U1samples</span><span class="o">==</span><span class="mi">0</span><span class="p">]),</span> <span class="n">density</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="nb">range</span><span class="p">(</span><span class="n">m</span><span class="o">+</span><span class="mi">2</span><span class="p">),</span> <span class="n">log</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="s1">&#39;U2&#39;</span><span class="p">,</span> <span class="s1">&#39;U2|U1=0&#39;</span><span class="p">])</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Distribution of $U2$ and $U2|U1=0$</span><span class="se">\n</span><span class="s1">$n_2=</span><span class="si">{}</span><span class="s1">,z_2=</span><span class="si">{}</span><span class="s1">,p_2=</span><span class="si">{}</span><span class="s1">$&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">n2</span><span class="p">,</span><span class="n">z2</span><span class="p">,</span><span class="n">p2</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;Normalized occurences&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;Wanted item drops from 2nd monster&#39;</span><span class="p">)</span>
<span class="c1">#plt.hist(Usamples[U2samples==0], density=True, bins=range(m+2))</span>

<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">U1samples</span><span class="p">,</span> <span class="n">U2samples</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.05</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;U1&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;U2&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Scatterplot of U2 vs U1&#39;</span><span class="p">)</span>

<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Pearson correlation, corr(U1, U2): </span><span class="si">{:.6f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">corrcoef</span><span class="p">(</span><span class="n">U1samples</span><span class="p">,</span> <span class="n">U2samples</span><span class="p">,</span> <span class="n">rowvar</span><span class="o">=</span><span class="kc">False</span><span class="p">)[</span><span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">]))</span>
<span class="n">EPU1eq0</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">U1samples</span><span class="o">==</span><span class="mi">0</span><span class="p">)</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">U1samples</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Empirical probability of U1samples=0: </span><span class="si">{:.6f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">EPU1eq0</span><span class="p">))</span>
<span class="n">EPU1eq0_U2eq0</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">U1samples</span><span class="p">[</span><span class="n">U2samples</span><span class="o">==</span><span class="mi">0</span><span class="p">]</span><span class="o">==</span><span class="mi">0</span><span class="p">)</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">U1samples</span><span class="p">[</span><span class="n">U2samples</span><span class="o">==</span><span class="mi">0</span><span class="p">])</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Empirical probability of U1samples=0 when U2samples=0: </span><span class="si">{:.6f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">EPU1eq0_U2eq0</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Relative error of emprical probabilities: </span><span class="si">{:.6f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">((</span><span class="n">EPU1eq0_U2eq0</span><span class="o">-</span><span class="n">EPU1eq0</span><span class="p">)</span><span class="o">/</span><span class="n">EPU1eq0</span><span class="p">))</span>

<span class="n">EPU2eq0</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">U2samples</span><span class="o">==</span><span class="mi">0</span><span class="p">)</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">U2samples</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Empirical probability of U2samples=0: </span><span class="si">{:.6f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">EPU2eq0</span><span class="p">))</span>
<span class="n">EPU2eq0_U1eq0</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">U2samples</span><span class="p">[</span><span class="n">U1samples</span><span class="o">==</span><span class="mi">0</span><span class="p">]</span><span class="o">==</span><span class="mi">0</span><span class="p">)</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">U2samples</span><span class="p">[</span><span class="n">U1samples</span><span class="o">==</span><span class="mi">0</span><span class="p">])</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Empirical probability of U2samples=0 when U1samples=0: </span><span class="si">{:.6f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">EPU2eq0_U1eq0</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Relative error of emprical probabilities: </span><span class="si">{:.6f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">((</span><span class="n">EPU2eq0_U1eq0</span><span class="o">-</span><span class="n">EPU2eq0</span><span class="p">)</span><span class="o">/</span><span class="n">EPU2eq0</span><span class="p">))</span>
<span class="n">sum_U1_U2</span> <span class="o">=</span> <span class="n">U1samples</span> <span class="o">+</span> <span class="n">U2samples</span>
<span class="n">EPUsum_geq_1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">sum_U1_U2</span><span class="o">&gt;=</span><span class="mi">1</span><span class="p">)</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">sum_U1_U2</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Empirical probabilty of U&gt;=1: </span><span class="si">{:.6f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">EPUsum_geq_1</span><span class="p">))</span>

<span class="c1">#plt.hist(Usamples)</span>
</pre></div>

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}

mpl.figure.prototype.handle_image_mode = function(fig, msg) {
    fig.image_mode = msg['mode'];
}

mpl.figure.prototype.updated_canvas_event = function() {
    // Called whenever the canvas gets updated.
    this.send_message("ack", {});
}

// A function to construct a web socket function for onmessage handling.
// Called in the figure constructor.
mpl.figure.prototype._make_on_message_function = function(fig) {
    return function socket_on_message(evt) {
        if (evt.data instanceof Blob) {
            /* FIXME: We get "Resource interpreted as Image but
             * transferred with MIME type text/plain:" errors on
             * Chrome.  But how to set the MIME type?  It doesn't seem
             * to be part of the websocket stream */
            evt.data.type = "image/png";

            /* Free the memory for the previous frames */
            if (fig.imageObj.src) {
                (window.URL || window.webkitURL).revokeObjectURL(
                    fig.imageObj.src);
            }

            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(
                evt.data);
            fig.updated_canvas_event();
            fig.waiting = false;
            return;
        }
        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == "data:image/png;base64") {
            fig.imageObj.src = evt.data;
            fig.updated_canvas_event();
            fig.waiting = false;
            return;
        }

        var msg = JSON.parse(evt.data);
        var msg_type = msg['type'];

        // Call the  "handle_{type}" callback, which takes
        // the figure and JSON message as its only arguments.
        try {
            var callback = fig["handle_" + msg_type];
        } catch (e) {
            console.log("No handler for the '" + msg_type + "' message type: ", msg);
            return;
        }

        if (callback) {
            try {
                // console.log("Handling '" + msg_type + "' message: ", msg);
                callback(fig, msg);
            } catch (e) {
                console.log("Exception inside the 'handler_" + msg_type + "' callback:", e, e.stack, msg);
            }
        }
    };
}

// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas
mpl.findpos = function(e) {
    //this section is from http://www.quirksmode.org/js/events_properties.html
    var targ;
    if (!e)
        e = window.event;
    if (e.target)
        targ = e.target;
    else if (e.srcElement)
        targ = e.srcElement;
    if (targ.nodeType == 3) // defeat Safari bug
        targ = targ.parentNode;

    // jQuery normalizes the pageX and pageY
    // pageX,Y are the mouse positions relative to the document
    // offset() returns the position of the element relative to the document
    var x = e.pageX - $(targ).offset().left;
    var y = e.pageY - $(targ).offset().top;

    return {"x": x, "y": y};
};

/*
 * return a copy of an object with only non-object keys
 * we need this to avoid circular references
 * http://stackoverflow.com/a/24161582/3208463
 */
function simpleKeys (original) {
  return Object.keys(original).reduce(function (obj, key) {
    if (typeof original[key] !== 'object')
        obj[key] = original[key]
    return obj;
  }, {});
}

mpl.figure.prototype.mouse_event = function(event, name) {
    var canvas_pos = mpl.findpos(event)

    if (name === 'button_press')
    {
        this.canvas.focus();
        this.canvas_div.focus();
    }

    var x = canvas_pos.x * mpl.ratio;
    var y = canvas_pos.y * mpl.ratio;

    this.send_message(name, {x: x, y: y, button: event.button,
                             step: event.step,
                             guiEvent: simpleKeys(event)});

    /* This prevents the web browser from automatically changing to
     * the text insertion cursor when the button is pressed.  We want
     * to control all of the cursor setting manually through the
     * 'cursor' event from matplotlib */
    event.preventDefault();
    return false;
}

mpl.figure.prototype._key_event_extra = function(event, name) {
    // Handle any extra behaviour associated with a key event
}

mpl.figure.prototype.key_event = function(event, name) {

    // Prevent repeat events
    if (name == 'key_press')
    {
        if (event.which === this._key)
            return;
        else
            this._key = event.which;
    }
    if (name == 'key_release')
        this._key = null;

    var value = '';
    if (event.ctrlKey && event.which != 17)
        value += "ctrl+";
    if (event.altKey && event.which != 18)
        value += "alt+";
    if (event.shiftKey && event.which != 16)
        value += "shift+";

    value += 'k';
    value += event.which.toString();

    this._key_event_extra(event, name);

    this.send_message(name, {key: value,
                             guiEvent: simpleKeys(event)});
    return false;
}

mpl.figure.prototype.toolbar_button_onclick = function(name) {
    if (name == 'download') {
        this.handle_save(this, null);
    } else {
        this.send_message("toolbar_button", {name: name});
    }
};

mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {
    this.message.textContent = tooltip;
};
mpl.toolbar_items = [["Home", "Reset original view", "fa fa-home icon-home", "home"], ["Back", "Back to previous view", "fa fa-arrow-left icon-arrow-left", "back"], ["Forward", "Forward to next view", "fa fa-arrow-right icon-arrow-right", "forward"], ["", "", "", ""], ["Pan", "Pan axes with left mouse, zoom with right", "fa fa-arrows icon-move", "pan"], ["Zoom", "Zoom to rectangle", "fa fa-square-o icon-check-empty", "zoom"], ["", "", "", ""], ["Download", "Download plot", "fa fa-floppy-o icon-save", "download"]];

mpl.extensions = ["eps", "pdf", "png", "ps", "raw", "svg"];

mpl.default_extension = "png";var comm_websocket_adapter = function(comm) {
    // Create a "websocket"-like object which calls the given IPython comm
    // object with the appropriate methods. Currently this is a non binary
    // socket, so there is still some room for performance tuning.
    var ws = {};

    ws.close = function() {
        comm.close()
    };
    ws.send = function(m) {
        //console.log('sending', m);
        comm.send(m);
    };
    // Register the callback with on_msg.
    comm.on_msg(function(msg) {
        //console.log('receiving', msg['content']['data'], msg);
        // Pass the mpl event to the overridden (by mpl) onmessage function.
        ws.onmessage(msg['content']['data'])
    });
    return ws;
}

mpl.mpl_figure_comm = function(comm, msg) {
    // This is the function which gets called when the mpl process
    // starts-up an IPython Comm through the "matplotlib" channel.

    var id = msg.content.data.id;
    // Get hold of the div created by the display call when the Comm
    // socket was opened in Python.
    var element = $("#" + id);
    var ws_proxy = comm_websocket_adapter(comm)

    function ondownload(figure, format) {
        window.open(figure.imageObj.src);
    }

    var fig = new mpl.figure(id, ws_proxy,
                           ondownload,
                           element.get(0));

    // Call onopen now - mpl needs it, as it is assuming we've passed it a real
    // web socket which is closed, not our websocket->open comm proxy.
    ws_proxy.onopen();

    fig.parent_element = element.get(0);
    fig.cell_info = mpl.find_output_cell("<div id='" + id + "'></div>");
    if (!fig.cell_info) {
        console.error("Failed to find cell for figure", id, fig);
        return;
    }

    var output_index = fig.cell_info[2]
    var cell = fig.cell_info[0];

};

mpl.figure.prototype.handle_close = function(fig, msg) {
    var width = fig.canvas.width/mpl.ratio
    fig.root.unbind('remove')

    // Update the output cell to use the data from the current canvas.
    fig.push_to_output();
    var dataURL = fig.canvas.toDataURL();
    // Re-enable the keyboard manager in IPython - without this line, in FF,
    // the notebook keyboard shortcuts fail.
    IPython.keyboard_manager.enable()
    $(fig.parent_element).html('<img src="' + dataURL + '" width="' + width + '">');
    fig.close_ws(fig, msg);
}

mpl.figure.prototype.close_ws = function(fig, msg){
    fig.send_message('closing', msg);
    // fig.ws.close()
}

mpl.figure.prototype.push_to_output = function(remove_interactive) {
    // Turn the data on the canvas into data in the output cell.
    var width = this.canvas.width/mpl.ratio
    var dataURL = this.canvas.toDataURL();
    this.cell_info[1]['text/html'] = '<img src="' + dataURL + '" width="' + width + '">';
}

mpl.figure.prototype.updated_canvas_event = function() {
    // Tell IPython that the notebook contents must change.
    IPython.notebook.set_dirty(true);
    this.send_message("ack", {});
    var fig = this;
    // Wait a second, then push the new image to the DOM so
    // that it is saved nicely (might be nice to debounce this).
    setTimeout(function () { fig.push_to_output() }, 1000);
}

mpl.figure.prototype._init_toolbar = function() {
    var fig = this;

    var nav_element = $('<div/>')
    nav_element.attr('style', 'width: 100%');
    this.root.append(nav_element);

    // Define a callback function for later on.
    function toolbar_event(event) {
        return fig.toolbar_button_onclick(event['data']);
    }
    function toolbar_mouse_event(event) {
        return fig.toolbar_button_onmouseover(event['data']);
    }

    for(var toolbar_ind in mpl.toolbar_items){
        var name = mpl.toolbar_items[toolbar_ind][0];
        var tooltip = mpl.toolbar_items[toolbar_ind][1];
        var image = mpl.toolbar_items[toolbar_ind][2];
        var method_name = mpl.toolbar_items[toolbar_ind][3];

        if (!name) { continue; };

        var button = $('<button class="btn btn-default" href="#" title="' + name + '"><i class="fa ' + image + ' fa-lg"></i></button>');
        button.click(method_name, toolbar_event);
        button.mouseover(tooltip, toolbar_mouse_event);
        nav_element.append(button);
    }

    // Add the status bar.
    var status_bar = $('<span class="mpl-message" style="text-align:right; float: right;"/>');
    nav_element.append(status_bar);
    this.message = status_bar[0];

    // Add the close button to the window.
    var buttongrp = $('<div class="btn-group inline pull-right"></div>');
    var button = $('<button class="btn btn-mini btn-primary" href="#" title="Stop Interaction"><i class="fa fa-power-off icon-remove icon-large"></i></button>');
    button.click(function (evt) { fig.handle_close(fig, {}); } );
    button.mouseover('Stop Interaction', toolbar_mouse_event);
    buttongrp.append(button);
    var titlebar = this.root.find($('.ui-dialog-titlebar'));
    titlebar.prepend(buttongrp);
}

mpl.figure.prototype._root_extra_style = function(el){
    var fig = this
    el.on("remove", function(){
	fig.close_ws(fig, {});
    });
}

mpl.figure.prototype._canvas_extra_style = function(el){
    // this is important to make the div 'focusable
    el.attr('tabindex', 0)
    // reach out to IPython and tell the keyboard manager to turn it's self
    // off when our div gets focus

    // location in version 3
    if (IPython.notebook.keyboard_manager) {
        IPython.notebook.keyboard_manager.register_events(el);
    }
    else {
        // location in version 2
        IPython.keyboard_manager.register_events(el);
    }

}

mpl.figure.prototype._key_event_extra = function(event, name) {
    var manager = IPython.notebook.keyboard_manager;
    if (!manager)
        manager = IPython.keyboard_manager;

    // Check for shift+enter
    if (event.shiftKey && event.which == 13) {
        this.canvas_div.blur();
        event.shiftKey = false;
        // Send a "J" for go to next cell
        event.which = 74;
        event.keyCode = 74;
        manager.command_mode();
        manager.handle_keydown(event);
    }
}

mpl.figure.prototype.handle_save = function(fig, msg) {
    fig.ondownload(fig, null);
}


mpl.find_output_cell = function(html_output) {
    // Return the cell and output element which can be found *uniquely* in the notebook.
    // Note - this is a bit hacky, but it is done because the "notebook_saving.Notebook"
    // IPython event is triggered only after the cells have been serialised, which for
    // our purposes (turning an active figure into a static one), is too late.
    var cells = IPython.notebook.get_cells();
    var ncells = cells.length;
    for (var i=0; i<ncells; i++) {
        var cell = cells[i];
        if (cell.cell_type === 'code'){
            for (var j=0; j<cell.output_area.outputs.length; j++) {
                var data = cell.output_area.outputs[j];
                if (data.data) {
                    // IPython >= 3 moved mimebundle to data attribute of output
                    data = data.data;
                }
                if (data['text/html'] == html_output) {
                    return [cell, data, j];
                }
            }
        }
    }
}

// Register the function which deals with the matplotlib target/channel.
// The kernel may be null if the page has been refreshed.
if (IPython.notebook.kernel != null) {
    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);
}

</script>
</div>

</div>

<div class="output_area">

<div class="prompt"></div>


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" width="640">
</div>

</div>

<div class="output_area">

<div class="prompt"></div>


<div id="201ce358-571e-4449-b6cc-faee5fa9e54c"></div>
<div class="output_subarea output_javascript ">
<script type="text/javascript">
var element = $('#201ce358-571e-4449-b6cc-faee5fa9e54c');
/* Put everything inside the global mpl namespace */
window.mpl = {};


mpl.get_websocket_type = function() {
    if (typeof(WebSocket) !== 'undefined') {
        return WebSocket;
    } else if (typeof(MozWebSocket) !== 'undefined') {
        return MozWebSocket;
    } else {
        alert('Your browser does not have WebSocket support.' +
              'Please try Chrome, Safari or Firefox ≥ 6. ' +
              'Firefox 4 and 5 are also supported but you ' +
              'have to enable WebSockets in about:config.');
    };
}

mpl.figure = function(figure_id, websocket, ondownload, parent_element) {
    this.id = figure_id;

    this.ws = websocket;

    this.supports_binary = (this.ws.binaryType != undefined);

    if (!this.supports_binary) {
        var warnings = document.getElementById("mpl-warnings");
        if (warnings) {
            warnings.style.display = 'block';
            warnings.textContent = (
                "This browser does not support binary websocket messages. " +
                    "Performance may be slow.");
        }
    }

    this.imageObj = new Image();

    this.context = undefined;
    this.message = undefined;
    this.canvas = undefined;
    this.rubberband_canvas = undefined;
    this.rubberband_context = undefined;
    this.format_dropdown = undefined;

    this.image_mode = 'full';

    this.root = $('<div/>');
    this._root_extra_style(this.root)
    this.root.attr('style', 'display: inline-block');

    $(parent_element).append(this.root);

    this._init_header(this);
    this._init_canvas(this);
    this._init_toolbar(this);

    var fig = this;

    this.waiting = false;

    this.ws.onopen =  function () {
            fig.send_message("supports_binary", {value: fig.supports_binary});
            fig.send_message("send_image_mode", {});
            if (mpl.ratio != 1) {
                fig.send_message("set_dpi_ratio", {'dpi_ratio': mpl.ratio});
            }
            fig.send_message("refresh", {});
        }

    this.imageObj.onload = function() {
            if (fig.image_mode == 'full') {
                // Full images could contain transparency (where diff images
                // almost always do), so we need to clear the canvas so that
                // there is no ghosting.
                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);
            }
            fig.context.drawImage(fig.imageObj, 0, 0);
        };

    this.imageObj.onunload = function() {
        fig.ws.close();
    }

    this.ws.onmessage = this._make_on_message_function(this);

    this.ondownload = ondownload;
}

mpl.figure.prototype._init_header = function() {
    var titlebar = $(
        '<div class="ui-dialog-titlebar ui-widget-header ui-corner-all ' +
        'ui-helper-clearfix"/>');
    var titletext = $(
        '<div class="ui-dialog-title" style="width: 100%; ' +
        'text-align: center; padding: 3px;"/>');
    titlebar.append(titletext)
    this.root.append(titlebar);
    this.header = titletext[0];
}


mpl.figure.prototype._canvas_extra_style = function(canvas_div) {

}


mpl.figure.prototype._root_extra_style = function(canvas_div) {

}

mpl.figure.prototype._init_canvas = function() {
    var fig = this;

    var canvas_div = $('<div/>');

    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');

    function canvas_keyboard_event(event) {
        return fig.key_event(event, event['data']);
    }

    canvas_div.keydown('key_press', canvas_keyboard_event);
    canvas_div.keyup('key_release', canvas_keyboard_event);
    this.canvas_div = canvas_div
    this._canvas_extra_style(canvas_div)
    this.root.append(canvas_div);

    var canvas = $('<canvas/>');
    canvas.addClass('mpl-canvas');
    canvas.attr('style', "left: 0; top: 0; z-index: 0; outline: 0")

    this.canvas = canvas[0];
    this.context = canvas[0].getContext("2d");

    var backingStore = this.context.backingStorePixelRatio ||
	this.context.webkitBackingStorePixelRatio ||
	this.context.mozBackingStorePixelRatio ||
	this.context.msBackingStorePixelRatio ||
	this.context.oBackingStorePixelRatio ||
	this.context.backingStorePixelRatio || 1;

    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;

    var rubberband = $('<canvas/>');
    rubberband.attr('style', "position: absolute; left: 0; top: 0; z-index: 1;")

    var pass_mouse_events = true;

    canvas_div.resizable({
        start: function(event, ui) {
            pass_mouse_events = false;
        },
        resize: function(event, ui) {
            fig.request_resize(ui.size.width, ui.size.height);
        },
        stop: function(event, ui) {
            pass_mouse_events = true;
            fig.request_resize(ui.size.width, ui.size.height);
        },
    });

    function mouse_event_fn(event) {
        if (pass_mouse_events)
            return fig.mouse_event(event, event['data']);
    }

    rubberband.mousedown('button_press', mouse_event_fn);
    rubberband.mouseup('button_release', mouse_event_fn);
    // Throttle sequential mouse events to 1 every 20ms.
    rubberband.mousemove('motion_notify', mouse_event_fn);

    rubberband.mouseenter('figure_enter', mouse_event_fn);
    rubberband.mouseleave('figure_leave', mouse_event_fn);

    canvas_div.on("wheel", function (event) {
        event = event.originalEvent;
        event['data'] = 'scroll'
        if (event.deltaY < 0) {
            event.step = 1;
        } else {
            event.step = -1;
        }
        mouse_event_fn(event);
    });

    canvas_div.append(canvas);
    canvas_div.append(rubberband);

    this.rubberband = rubberband;
    this.rubberband_canvas = rubberband[0];
    this.rubberband_context = rubberband[0].getContext("2d");
    this.rubberband_context.strokeStyle = "#000000";

    this._resize_canvas = function(width, height) {
        // Keep the size of the canvas, canvas container, and rubber band
        // canvas in synch.
        canvas_div.css('width', width)
        canvas_div.css('height', height)

        canvas.attr('width', width * mpl.ratio);
        canvas.attr('height', height * mpl.ratio);
        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');

        rubberband.attr('width', width);
        rubberband.attr('height', height);
    }

    // Set the figure to an initial 600x600px, this will subsequently be updated
    // upon first draw.
    this._resize_canvas(600, 600);

    // Disable right mouse context menu.
    $(this.rubberband_canvas).bind("contextmenu",function(e){
        return false;
    });

    function set_focus () {
        canvas.focus();
        canvas_div.focus();
    }

    window.setTimeout(set_focus, 100);
}

mpl.figure.prototype._init_toolbar = function() {
    var fig = this;

    var nav_element = $('<div/>')
    nav_element.attr('style', 'width: 100%');
    this.root.append(nav_element);

    // Define a callback function for later on.
    function toolbar_event(event) {
        return fig.toolbar_button_onclick(event['data']);
    }
    function toolbar_mouse_event(event) {
        return fig.toolbar_button_onmouseover(event['data']);
    }

    for(var toolbar_ind in mpl.toolbar_items) {
        var name = mpl.toolbar_items[toolbar_ind][0];
        var tooltip = mpl.toolbar_items[toolbar_ind][1];
        var image = mpl.toolbar_items[toolbar_ind][2];
        var method_name = mpl.toolbar_items[toolbar_ind][3];

        if (!name) {
            // put a spacer in here.
            continue;
        }
        var button = $('<button/>');
        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +
                        'ui-button-icon-only');
        button.attr('role', 'button');
        button.attr('aria-disabled', 'false');
        button.click(method_name, toolbar_event);
        button.mouseover(tooltip, toolbar_mouse_event);

        var icon_img = $('<span/>');
        icon_img.addClass('ui-button-icon-primary ui-icon');
        icon_img.addClass(image);
        icon_img.addClass('ui-corner-all');

        var tooltip_span = $('<span/>');
        tooltip_span.addClass('ui-button-text');
        tooltip_span.html(tooltip);

        button.append(icon_img);
        button.append(tooltip_span);

        nav_element.append(button);
    }

    var fmt_picker_span = $('<span/>');

    var fmt_picker = $('<select/>');
    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');
    fmt_picker_span.append(fmt_picker);
    nav_element.append(fmt_picker_span);
    this.format_dropdown = fmt_picker[0];

    for (var ind in mpl.extensions) {
        var fmt = mpl.extensions[ind];
        var option = $(
            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);
        fmt_picker.append(option)
    }

    // Add hover states to the ui-buttons
    $( ".ui-button" ).hover(
        function() { $(this).addClass("ui-state-hover");},
        function() { $(this).removeClass("ui-state-hover");}
    );

    var status_bar = $('<span class="mpl-message"/>');
    nav_element.append(status_bar);
    this.message = status_bar[0];
}

mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {
    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,
    // which will in turn request a refresh of the image.
    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});
}

mpl.figure.prototype.send_message = function(type, properties) {
    properties['type'] = type;
    properties['figure_id'] = this.id;
    this.ws.send(JSON.stringify(properties));
}

mpl.figure.prototype.send_draw_message = function() {
    if (!this.waiting) {
        this.waiting = true;
        this.ws.send(JSON.stringify({type: "draw", figure_id: this.id}));
    }
}


mpl.figure.prototype.handle_save = function(fig, msg) {
    var format_dropdown = fig.format_dropdown;
    var format = format_dropdown.options[format_dropdown.selectedIndex].value;
    fig.ondownload(fig, format);
}


mpl.figure.prototype.handle_resize = function(fig, msg) {
    var size = msg['size'];
    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {
        fig._resize_canvas(size[0], size[1]);
        fig.send_message("refresh", {});
    };
}

mpl.figure.prototype.handle_rubberband = function(fig, msg) {
    var x0 = msg['x0'] / mpl.ratio;
    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;
    var x1 = msg['x1'] / mpl.ratio;
    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;
    x0 = Math.floor(x0) + 0.5;
    y0 = Math.floor(y0) + 0.5;
    x1 = Math.floor(x1) + 0.5;
    y1 = Math.floor(y1) + 0.5;
    var min_x = Math.min(x0, x1);
    var min_y = Math.min(y0, y1);
    var width = Math.abs(x1 - x0);
    var height = Math.abs(y1 - y0);

    fig.rubberband_context.clearRect(
        0, 0, fig.canvas.width, fig.canvas.height);

    fig.rubberband_context.strokeRect(min_x, min_y, width, height);
}

mpl.figure.prototype.handle_figure_label = function(fig, msg) {
    // Updates the figure title.
    fig.header.textContent = msg['label'];
}

mpl.figure.prototype.handle_cursor = function(fig, msg) {
    var cursor = msg['cursor'];
    switch(cursor)
    {
    case 0:
        cursor = 'pointer';
        break;
    case 1:
        cursor = 'default';
        break;
    case 2:
        cursor = 'crosshair';
        break;
    case 3:
        cursor = 'move';
        break;
    }
    fig.rubberband_canvas.style.cursor = cursor;
}

mpl.figure.prototype.handle_message = function(fig, msg) {
    fig.message.textContent = msg['message'];
}

mpl.figure.prototype.handle_draw = function(fig, msg) {
    // Request the server to send over a new figure.
    fig.send_draw_message();
}

mpl.figure.prototype.handle_image_mode = function(fig, msg) {
    fig.image_mode = msg['mode'];
}

mpl.figure.prototype.updated_canvas_event = function() {
    // Called whenever the canvas gets updated.
    this.send_message("ack", {});
}

// A function to construct a web socket function for onmessage handling.
// Called in the figure constructor.
mpl.figure.prototype._make_on_message_function = function(fig) {
    return function socket_on_message(evt) {
        if (evt.data instanceof Blob) {
            /* FIXME: We get "Resource interpreted as Image but
             * transferred with MIME type text/plain:" errors on
             * Chrome.  But how to set the MIME type?  It doesn't seem
             * to be part of the websocket stream */
            evt.data.type = "image/png";

            /* Free the memory for the previous frames */
            if (fig.imageObj.src) {
                (window.URL || window.webkitURL).revokeObjectURL(
                    fig.imageObj.src);
            }

            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(
                evt.data);
            fig.updated_canvas_event();
            fig.waiting = false;
            return;
        }
        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == "data:image/png;base64") {
            fig.imageObj.src = evt.data;
            fig.updated_canvas_event();
            fig.waiting = false;
            return;
        }

        var msg = JSON.parse(evt.data);
        var msg_type = msg['type'];

        // Call the  "handle_{type}" callback, which takes
        // the figure and JSON message as its only arguments.
        try {
            var callback = fig["handle_" + msg_type];
        } catch (e) {
            console.log("No handler for the '" + msg_type + "' message type: ", msg);
            return;
        }

        if (callback) {
            try {
                // console.log("Handling '" + msg_type + "' message: ", msg);
                callback(fig, msg);
            } catch (e) {
                console.log("Exception inside the 'handler_" + msg_type + "' callback:", e, e.stack, msg);
            }
        }
    };
}

// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas
mpl.findpos = function(e) {
    //this section is from http://www.quirksmode.org/js/events_properties.html
    var targ;
    if (!e)
        e = window.event;
    if (e.target)
        targ = e.target;
    else if (e.srcElement)
        targ = e.srcElement;
    if (targ.nodeType == 3) // defeat Safari bug
        targ = targ.parentNode;

    // jQuery normalizes the pageX and pageY
    // pageX,Y are the mouse positions relative to the document
    // offset() returns the position of the element relative to the document
    var x = e.pageX - $(targ).offset().left;
    var y = e.pageY - $(targ).offset().top;

    return {"x": x, "y": y};
};

/*
 * return a copy of an object with only non-object keys
 * we need this to avoid circular references
 * http://stackoverflow.com/a/24161582/3208463
 */
function simpleKeys (original) {
  return Object.keys(original).reduce(function (obj, key) {
    if (typeof original[key] !== 'object')
        obj[key] = original[key]
    return obj;
  }, {});
}

mpl.figure.prototype.mouse_event = function(event, name) {
    var canvas_pos = mpl.findpos(event)

    if (name === 'button_press')
    {
        this.canvas.focus();
        this.canvas_div.focus();
    }

    var x = canvas_pos.x * mpl.ratio;
    var y = canvas_pos.y * mpl.ratio;

    this.send_message(name, {x: x, y: y, button: event.button,
                             step: event.step,
                             guiEvent: simpleKeys(event)});

    /* This prevents the web browser from automatically changing to
     * the text insertion cursor when the button is pressed.  We want
     * to control all of the cursor setting manually through the
     * 'cursor' event from matplotlib */
    event.preventDefault();
    return false;
}

mpl.figure.prototype._key_event_extra = function(event, name) {
    // Handle any extra behaviour associated with a key event
}

mpl.figure.prototype.key_event = function(event, name) {

    // Prevent repeat events
    if (name == 'key_press')
    {
        if (event.which === this._key)
            return;
        else
            this._key = event.which;
    }
    if (name == 'key_release')
        this._key = null;

    var value = '';
    if (event.ctrlKey && event.which != 17)
        value += "ctrl+";
    if (event.altKey && event.which != 18)
        value += "alt+";
    if (event.shiftKey && event.which != 16)
        value += "shift+";

    value += 'k';
    value += event.which.toString();

    this._key_event_extra(event, name);

    this.send_message(name, {key: value,
                             guiEvent: simpleKeys(event)});
    return false;
}

mpl.figure.prototype.toolbar_button_onclick = function(name) {
    if (name == 'download') {
        this.handle_save(this, null);
    } else {
        this.send_message("toolbar_button", {name: name});
    }
};

mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {
    this.message.textContent = tooltip;
};
mpl.toolbar_items = [["Home", "Reset original view", "fa fa-home icon-home", "home"], ["Back", "Back to previous view", "fa fa-arrow-left icon-arrow-left", "back"], ["Forward", "Forward to next view", "fa fa-arrow-right icon-arrow-right", "forward"], ["", "", "", ""], ["Pan", "Pan axes with left mouse, zoom with right", "fa fa-arrows icon-move", "pan"], ["Zoom", "Zoom to rectangle", "fa fa-square-o icon-check-empty", "zoom"], ["", "", "", ""], ["Download", "Download plot", "fa fa-floppy-o icon-save", "download"]];

mpl.extensions = ["eps", "pdf", "png", "ps", "raw", "svg"];

mpl.default_extension = "png";var comm_websocket_adapter = function(comm) {
    // Create a "websocket"-like object which calls the given IPython comm
    // object with the appropriate methods. Currently this is a non binary
    // socket, so there is still some room for performance tuning.
    var ws = {};

    ws.close = function() {
        comm.close()
    };
    ws.send = function(m) {
        //console.log('sending', m);
        comm.send(m);
    };
    // Register the callback with on_msg.
    comm.on_msg(function(msg) {
        //console.log('receiving', msg['content']['data'], msg);
        // Pass the mpl event to the overridden (by mpl) onmessage function.
        ws.onmessage(msg['content']['data'])
    });
    return ws;
}

mpl.mpl_figure_comm = function(comm, msg) {
    // This is the function which gets called when the mpl process
    // starts-up an IPython Comm through the "matplotlib" channel.

    var id = msg.content.data.id;
    // Get hold of the div created by the display call when the Comm
    // socket was opened in Python.
    var element = $("#" + id);
    var ws_proxy = comm_websocket_adapter(comm)

    function ondownload(figure, format) {
        window.open(figure.imageObj.src);
    }

    var fig = new mpl.figure(id, ws_proxy,
                           ondownload,
                           element.get(0));

    // Call onopen now - mpl needs it, as it is assuming we've passed it a real
    // web socket which is closed, not our websocket->open comm proxy.
    ws_proxy.onopen();

    fig.parent_element = element.get(0);
    fig.cell_info = mpl.find_output_cell("<div id='" + id + "'></div>");
    if (!fig.cell_info) {
        console.error("Failed to find cell for figure", id, fig);
        return;
    }

    var output_index = fig.cell_info[2]
    var cell = fig.cell_info[0];

};

mpl.figure.prototype.handle_close = function(fig, msg) {
    var width = fig.canvas.width/mpl.ratio
    fig.root.unbind('remove')

    // Update the output cell to use the data from the current canvas.
    fig.push_to_output();
    var dataURL = fig.canvas.toDataURL();
    // Re-enable the keyboard manager in IPython - without this line, in FF,
    // the notebook keyboard shortcuts fail.
    IPython.keyboard_manager.enable()
    $(fig.parent_element).html('<img src="' + dataURL + '" width="' + width + '">');
    fig.close_ws(fig, msg);
}

mpl.figure.prototype.close_ws = function(fig, msg){
    fig.send_message('closing', msg);
    // fig.ws.close()
}

mpl.figure.prototype.push_to_output = function(remove_interactive) {
    // Turn the data on the canvas into data in the output cell.
    var width = this.canvas.width/mpl.ratio
    var dataURL = this.canvas.toDataURL();
    this.cell_info[1]['text/html'] = '<img src="' + dataURL + '" width="' + width + '">';
}

mpl.figure.prototype.updated_canvas_event = function() {
    // Tell IPython that the notebook contents must change.
    IPython.notebook.set_dirty(true);
    this.send_message("ack", {});
    var fig = this;
    // Wait a second, then push the new image to the DOM so
    // that it is saved nicely (might be nice to debounce this).
    setTimeout(function () { fig.push_to_output() }, 1000);
}

mpl.figure.prototype._init_toolbar = function() {
    var fig = this;

    var nav_element = $('<div/>')
    nav_element.attr('style', 'width: 100%');
    this.root.append(nav_element);

    // Define a callback function for later on.
    function toolbar_event(event) {
        return fig.toolbar_button_onclick(event['data']);
    }
    function toolbar_mouse_event(event) {
        return fig.toolbar_button_onmouseover(event['data']);
    }

    for(var toolbar_ind in mpl.toolbar_items){
        var name = mpl.toolbar_items[toolbar_ind][0];
        var tooltip = mpl.toolbar_items[toolbar_ind][1];
        var image = mpl.toolbar_items[toolbar_ind][2];
        var method_name = mpl.toolbar_items[toolbar_ind][3];

        if (!name) { continue; };

        var button = $('<button class="btn btn-default" href="#" title="' + name + '"><i class="fa ' + image + ' fa-lg"></i></button>');
        button.click(method_name, toolbar_event);
        button.mouseover(tooltip, toolbar_mouse_event);
        nav_element.append(button);
    }

    // Add the status bar.
    var status_bar = $('<span class="mpl-message" style="text-align:right; float: right;"/>');
    nav_element.append(status_bar);
    this.message = status_bar[0];

    // Add the close button to the window.
    var buttongrp = $('<div class="btn-group inline pull-right"></div>');
    var button = $('<button class="btn btn-mini btn-primary" href="#" title="Stop Interaction"><i class="fa fa-power-off icon-remove icon-large"></i></button>');
    button.click(function (evt) { fig.handle_close(fig, {}); } );
    button.mouseover('Stop Interaction', toolbar_mouse_event);
    buttongrp.append(button);
    var titlebar = this.root.find($('.ui-dialog-titlebar'));
    titlebar.prepend(buttongrp);
}

mpl.figure.prototype._root_extra_style = function(el){
    var fig = this
    el.on("remove", function(){
	fig.close_ws(fig, {});
    });
}

mpl.figure.prototype._canvas_extra_style = function(el){
    // this is important to make the div 'focusable
    el.attr('tabindex', 0)
    // reach out to IPython and tell the keyboard manager to turn it's self
    // off when our div gets focus

    // location in version 3
    if (IPython.notebook.keyboard_manager) {
        IPython.notebook.keyboard_manager.register_events(el);
    }
    else {
        // location in version 2
        IPython.keyboard_manager.register_events(el);
    }

}

mpl.figure.prototype._key_event_extra = function(event, name) {
    var manager = IPython.notebook.keyboard_manager;
    if (!manager)
        manager = IPython.keyboard_manager;

    // Check for shift+enter
    if (event.shiftKey && event.which == 13) {
        this.canvas_div.blur();
        event.shiftKey = false;
        // Send a "J" for go to next cell
        event.which = 74;
        event.keyCode = 74;
        manager.command_mode();
        manager.handle_keydown(event);
    }
}

mpl.figure.prototype.handle_save = function(fig, msg) {
    fig.ondownload(fig, null);
}


mpl.find_output_cell = function(html_output) {
    // Return the cell and output element which can be found *uniquely* in the notebook.
    // Note - this is a bit hacky, but it is done because the "notebook_saving.Notebook"
    // IPython event is triggered only after the cells have been serialised, which for
    // our purposes (turning an active figure into a static one), is too late.
    var cells = IPython.notebook.get_cells();
    var ncells = cells.length;
    for (var i=0; i<ncells; i++) {
        var cell = cells[i];
        if (cell.cell_type === 'code'){
            for (var j=0; j<cell.output_area.outputs.length; j++) {
                var data = cell.output_area.outputs[j];
                if (data.data) {
                    // IPython >= 3 moved mimebundle to data attribute of output
                    data = data.data;
                }
                if (data['text/html'] == html_output) {
                    return [cell, data, j];
                }
            }
        }
    }
}

// Register the function which deals with the matplotlib target/channel.
// The kernel may be null if the page has been refreshed.
if (IPython.notebook.kernel != null) {
    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);
}

</script>
</div>

</div>

<div class="output_area">

<div class="prompt"></div>


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" width="640">
</div>

</div>

<div class="output_area">

<div class="prompt"></div>


<div id="fc2a243a-5ee4-4b03-bb82-5ef970975ec5"></div>
<div class="output_subarea output_javascript ">
<script type="text/javascript">
var element = $('#fc2a243a-5ee4-4b03-bb82-5ef970975ec5');
/* Put everything inside the global mpl namespace */
window.mpl = {};


mpl.get_websocket_type = function() {
    if (typeof(WebSocket) !== 'undefined') {
        return WebSocket;
    } else if (typeof(MozWebSocket) !== 'undefined') {
        return MozWebSocket;
    } else {
        alert('Your browser does not have WebSocket support.' +
              'Please try Chrome, Safari or Firefox ≥ 6. ' +
              'Firefox 4 and 5 are also supported but you ' +
              'have to enable WebSockets in about:config.');
    };
}

mpl.figure = function(figure_id, websocket, ondownload, parent_element) {
    this.id = figure_id;

    this.ws = websocket;

    this.supports_binary = (this.ws.binaryType != undefined);

    if (!this.supports_binary) {
        var warnings = document.getElementById("mpl-warnings");
        if (warnings) {
            warnings.style.display = 'block';
            warnings.textContent = (
                "This browser does not support binary websocket messages. " +
                    "Performance may be slow.");
        }
    }

    this.imageObj = new Image();

    this.context = undefined;
    this.message = undefined;
    this.canvas = undefined;
    this.rubberband_canvas = undefined;
    this.rubberband_context = undefined;
    this.format_dropdown = undefined;

    this.image_mode = 'full';

    this.root = $('<div/>');
    this._root_extra_style(this.root)
    this.root.attr('style', 'display: inline-block');

    $(parent_element).append(this.root);

    this._init_header(this);
    this._init_canvas(this);
    this._init_toolbar(this);

    var fig = this;

    this.waiting = false;

    this.ws.onopen =  function () {
            fig.send_message("supports_binary", {value: fig.supports_binary});
            fig.send_message("send_image_mode", {});
            if (mpl.ratio != 1) {
                fig.send_message("set_dpi_ratio", {'dpi_ratio': mpl.ratio});
            }
            fig.send_message("refresh", {});
        }

    this.imageObj.onload = function() {
            if (fig.image_mode == 'full') {
                // Full images could contain transparency (where diff images
                // almost always do), so we need to clear the canvas so that
                // there is no ghosting.
                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);
            }
            fig.context.drawImage(fig.imageObj, 0, 0);
        };

    this.imageObj.onunload = function() {
        fig.ws.close();
    }

    this.ws.onmessage = this._make_on_message_function(this);

    this.ondownload = ondownload;
}

mpl.figure.prototype._init_header = function() {
    var titlebar = $(
        '<div class="ui-dialog-titlebar ui-widget-header ui-corner-all ' +
        'ui-helper-clearfix"/>');
    var titletext = $(
        '<div class="ui-dialog-title" style="width: 100%; ' +
        'text-align: center; padding: 3px;"/>');
    titlebar.append(titletext)
    this.root.append(titlebar);
    this.header = titletext[0];
}


mpl.figure.prototype._canvas_extra_style = function(canvas_div) {

}


mpl.figure.prototype._root_extra_style = function(canvas_div) {

}

mpl.figure.prototype._init_canvas = function() {
    var fig = this;

    var canvas_div = $('<div/>');

    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');

    function canvas_keyboard_event(event) {
        return fig.key_event(event, event['data']);
    }

    canvas_div.keydown('key_press', canvas_keyboard_event);
    canvas_div.keyup('key_release', canvas_keyboard_event);
    this.canvas_div = canvas_div
    this._canvas_extra_style(canvas_div)
    this.root.append(canvas_div);

    var canvas = $('<canvas/>');
    canvas.addClass('mpl-canvas');
    canvas.attr('style', "left: 0; top: 0; z-index: 0; outline: 0")

    this.canvas = canvas[0];
    this.context = canvas[0].getContext("2d");

    var backingStore = this.context.backingStorePixelRatio ||
	this.context.webkitBackingStorePixelRatio ||
	this.context.mozBackingStorePixelRatio ||
	this.context.msBackingStorePixelRatio ||
	this.context.oBackingStorePixelRatio ||
	this.context.backingStorePixelRatio || 1;

    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;

    var rubberband = $('<canvas/>');
    rubberband.attr('style', "position: absolute; left: 0; top: 0; z-index: 1;")

    var pass_mouse_events = true;

    canvas_div.resizable({
        start: function(event, ui) {
            pass_mouse_events = false;
        },
        resize: function(event, ui) {
            fig.request_resize(ui.size.width, ui.size.height);
        },
        stop: function(event, ui) {
            pass_mouse_events = true;
            fig.request_resize(ui.size.width, ui.size.height);
        },
    });

    function mouse_event_fn(event) {
        if (pass_mouse_events)
            return fig.mouse_event(event, event['data']);
    }

    rubberband.mousedown('button_press', mouse_event_fn);
    rubberband.mouseup('button_release', mouse_event_fn);
    // Throttle sequential mouse events to 1 every 20ms.
    rubberband.mousemove('motion_notify', mouse_event_fn);

    rubberband.mouseenter('figure_enter', mouse_event_fn);
    rubberband.mouseleave('figure_leave', mouse_event_fn);

    canvas_div.on("wheel", function (event) {
        event = event.originalEvent;
        event['data'] = 'scroll'
        if (event.deltaY < 0) {
            event.step = 1;
        } else {
            event.step = -1;
        }
        mouse_event_fn(event);
    });

    canvas_div.append(canvas);
    canvas_div.append(rubberband);

    this.rubberband = rubberband;
    this.rubberband_canvas = rubberband[0];
    this.rubberband_context = rubberband[0].getContext("2d");
    this.rubberband_context.strokeStyle = "#000000";

    this._resize_canvas = function(width, height) {
        // Keep the size of the canvas, canvas container, and rubber band
        // canvas in synch.
        canvas_div.css('width', width)
        canvas_div.css('height', height)

        canvas.attr('width', width * mpl.ratio);
        canvas.attr('height', height * mpl.ratio);
        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');

        rubberband.attr('width', width);
        rubberband.attr('height', height);
    }

    // Set the figure to an initial 600x600px, this will subsequently be updated
    // upon first draw.
    this._resize_canvas(600, 600);

    // Disable right mouse context menu.
    $(this.rubberband_canvas).bind("contextmenu",function(e){
        return false;
    });

    function set_focus () {
        canvas.focus();
        canvas_div.focus();
    }

    window.setTimeout(set_focus, 100);
}

mpl.figure.prototype._init_toolbar = function() {
    var fig = this;

    var nav_element = $('<div/>')
    nav_element.attr('style', 'width: 100%');
    this.root.append(nav_element);

    // Define a callback function for later on.
    function toolbar_event(event) {
        return fig.toolbar_button_onclick(event['data']);
    }
    function toolbar_mouse_event(event) {
        return fig.toolbar_button_onmouseover(event['data']);
    }

    for(var toolbar_ind in mpl.toolbar_items) {
        var name = mpl.toolbar_items[toolbar_ind][0];
        var tooltip = mpl.toolbar_items[toolbar_ind][1];
        var image = mpl.toolbar_items[toolbar_ind][2];
        var method_name = mpl.toolbar_items[toolbar_ind][3];

        if (!name) {
            // put a spacer in here.
            continue;
        }
        var button = $('<button/>');
        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +
                        'ui-button-icon-only');
        button.attr('role', 'button');
        button.attr('aria-disabled', 'false');
        button.click(method_name, toolbar_event);
        button.mouseover(tooltip, toolbar_mouse_event);

        var icon_img = $('<span/>');
        icon_img.addClass('ui-button-icon-primary ui-icon');
        icon_img.addClass(image);
        icon_img.addClass('ui-corner-all');

        var tooltip_span = $('<span/>');
        tooltip_span.addClass('ui-button-text');
        tooltip_span.html(tooltip);

        button.append(icon_img);
        button.append(tooltip_span);

        nav_element.append(button);
    }

    var fmt_picker_span = $('<span/>');

    var fmt_picker = $('<select/>');
    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');
    fmt_picker_span.append(fmt_picker);
    nav_element.append(fmt_picker_span);
    this.format_dropdown = fmt_picker[0];

    for (var ind in mpl.extensions) {
        var fmt = mpl.extensions[ind];
        var option = $(
            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);
        fmt_picker.append(option)
    }

    // Add hover states to the ui-buttons
    $( ".ui-button" ).hover(
        function() { $(this).addClass("ui-state-hover");},
        function() { $(this).removeClass("ui-state-hover");}
    );

    var status_bar = $('<span class="mpl-message"/>');
    nav_element.append(status_bar);
    this.message = status_bar[0];
}

mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {
    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,
    // which will in turn request a refresh of the image.
    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});
}

mpl.figure.prototype.send_message = function(type, properties) {
    properties['type'] = type;
    properties['figure_id'] = this.id;
    this.ws.send(JSON.stringify(properties));
}

mpl.figure.prototype.send_draw_message = function() {
    if (!this.waiting) {
        this.waiting = true;
        this.ws.send(JSON.stringify({type: "draw", figure_id: this.id}));
    }
}


mpl.figure.prototype.handle_save = function(fig, msg) {
    var format_dropdown = fig.format_dropdown;
    var format = format_dropdown.options[format_dropdown.selectedIndex].value;
    fig.ondownload(fig, format);
}


mpl.figure.prototype.handle_resize = function(fig, msg) {
    var size = msg['size'];
    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {
        fig._resize_canvas(size[0], size[1]);
        fig.send_message("refresh", {});
    };
}

mpl.figure.prototype.handle_rubberband = function(fig, msg) {
    var x0 = msg['x0'] / mpl.ratio;
    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;
    var x1 = msg['x1'] / mpl.ratio;
    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;
    x0 = Math.floor(x0) + 0.5;
    y0 = Math.floor(y0) + 0.5;
    x1 = Math.floor(x1) + 0.5;
    y1 = Math.floor(y1) + 0.5;
    var min_x = Math.min(x0, x1);
    var min_y = Math.min(y0, y1);
    var width = Math.abs(x1 - x0);
    var height = Math.abs(y1 - y0);

    fig.rubberband_context.clearRect(
        0, 0, fig.canvas.width, fig.canvas.height);

    fig.rubberband_context.strokeRect(min_x, min_y, width, height);
}

mpl.figure.prototype.handle_figure_label = function(fig, msg) {
    // Updates the figure title.
    fig.header.textContent = msg['label'];
}

mpl.figure.prototype.handle_cursor = function(fig, msg) {
    var cursor = msg['cursor'];
    switch(cursor)
    {
    case 0:
        cursor = 'pointer';
        break;
    case 1:
        cursor = 'default';
        break;
    case 2:
        cursor = 'crosshair';
        break;
    case 3:
        cursor = 'move';
        break;
    }
    fig.rubberband_canvas.style.cursor = cursor;
}

mpl.figure.prototype.handle_message = function(fig, msg) {
    fig.message.textContent = msg['message'];
}

mpl.figure.prototype.handle_draw = function(fig, msg) {
    // Request the server to send over a new figure.
    fig.send_draw_message();
}

mpl.figure.prototype.handle_image_mode = function(fig, msg) {
    fig.image_mode = msg['mode'];
}

mpl.figure.prototype.updated_canvas_event = function() {
    // Called whenever the canvas gets updated.
    this.send_message("ack", {});
}

// A function to construct a web socket function for onmessage handling.
// Called in the figure constructor.
mpl.figure.prototype._make_on_message_function = function(fig) {
    return function socket_on_message(evt) {
        if (evt.data instanceof Blob) {
            /* FIXME: We get "Resource interpreted as Image but
             * transferred with MIME type text/plain:" errors on
             * Chrome.  But how to set the MIME type?  It doesn't seem
             * to be part of the websocket stream */
            evt.data.type = "image/png";

            /* Free the memory for the previous frames */
            if (fig.imageObj.src) {
                (window.URL || window.webkitURL).revokeObjectURL(
                    fig.imageObj.src);
            }

            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(
                evt.data);
            fig.updated_canvas_event();
            fig.waiting = false;
            return;
        }
        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == "data:image/png;base64") {
            fig.imageObj.src = evt.data;
            fig.updated_canvas_event();
            fig.waiting = false;
            return;
        }

        var msg = JSON.parse(evt.data);
        var msg_type = msg['type'];

        // Call the  "handle_{type}" callback, which takes
        // the figure and JSON message as its only arguments.
        try {
            var callback = fig["handle_" + msg_type];
        } catch (e) {
            console.log("No handler for the '" + msg_type + "' message type: ", msg);
            return;
        }

        if (callback) {
            try {
                // console.log("Handling '" + msg_type + "' message: ", msg);
                callback(fig, msg);
            } catch (e) {
                console.log("Exception inside the 'handler_" + msg_type + "' callback:", e, e.stack, msg);
            }
        }
    };
}

// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas
mpl.findpos = function(e) {
    //this section is from http://www.quirksmode.org/js/events_properties.html
    var targ;
    if (!e)
        e = window.event;
    if (e.target)
        targ = e.target;
    else if (e.srcElement)
        targ = e.srcElement;
    if (targ.nodeType == 3) // defeat Safari bug
        targ = targ.parentNode;

    // jQuery normalizes the pageX and pageY
    // pageX,Y are the mouse positions relative to the document
    // offset() returns the position of the element relative to the document
    var x = e.pageX - $(targ).offset().left;
    var y = e.pageY - $(targ).offset().top;

    return {"x": x, "y": y};
};

/*
 * return a copy of an object with only non-object keys
 * we need this to avoid circular references
 * http://stackoverflow.com/a/24161582/3208463
 */
function simpleKeys (original) {
  return Object.keys(original).reduce(function (obj, key) {
    if (typeof original[key] !== 'object')
        obj[key] = original[key]
    return obj;
  }, {});
}

mpl.figure.prototype.mouse_event = function(event, name) {
    var canvas_pos = mpl.findpos(event)

    if (name === 'button_press')
    {
        this.canvas.focus();
        this.canvas_div.focus();
    }

    var x = canvas_pos.x * mpl.ratio;
    var y = canvas_pos.y * mpl.ratio;

    this.send_message(name, {x: x, y: y, button: event.button,
                             step: event.step,
                             guiEvent: simpleKeys(event)});

    /* This prevents the web browser from automatically changing to
     * the text insertion cursor when the button is pressed.  We want
     * to control all of the cursor setting manually through the
     * 'cursor' event from matplotlib */
    event.preventDefault();
    return false;
}

mpl.figure.prototype._key_event_extra = function(event, name) {
    // Handle any extra behaviour associated with a key event
}

mpl.figure.prototype.key_event = function(event, name) {

    // Prevent repeat events
    if (name == 'key_press')
    {
        if (event.which === this._key)
            return;
        else
            this._key = event.which;
    }
    if (name == 'key_release')
        this._key = null;

    var value = '';
    if (event.ctrlKey && event.which != 17)
        value += "ctrl+";
    if (event.altKey && event.which != 18)
        value += "alt+";
    if (event.shiftKey && event.which != 16)
        value += "shift+";

    value += 'k';
    value += event.which.toString();

    this._key_event_extra(event, name);

    this.send_message(name, {key: value,
                             guiEvent: simpleKeys(event)});
    return false;
}

mpl.figure.prototype.toolbar_button_onclick = function(name) {
    if (name == 'download') {
        this.handle_save(this, null);
    } else {
        this.send_message("toolbar_button", {name: name});
    }
};

mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {
    this.message.textContent = tooltip;
};
mpl.toolbar_items = [["Home", "Reset original view", "fa fa-home icon-home", "home"], ["Back", "Back to previous view", "fa fa-arrow-left icon-arrow-left", "back"], ["Forward", "Forward to next view", "fa fa-arrow-right icon-arrow-right", "forward"], ["", "", "", ""], ["Pan", "Pan axes with left mouse, zoom with right", "fa fa-arrows icon-move", "pan"], ["Zoom", "Zoom to rectangle", "fa fa-square-o icon-check-empty", "zoom"], ["", "", "", ""], ["Download", "Download plot", "fa fa-floppy-o icon-save", "download"]];

mpl.extensions = ["eps", "pdf", "png", "ps", "raw", "svg"];

mpl.default_extension = "png";var comm_websocket_adapter = function(comm) {
    // Create a "websocket"-like object which calls the given IPython comm
    // object with the appropriate methods. Currently this is a non binary
    // socket, so there is still some room for performance tuning.
    var ws = {};

    ws.close = function() {
        comm.close()
    };
    ws.send = function(m) {
        //console.log('sending', m);
        comm.send(m);
    };
    // Register the callback with on_msg.
    comm.on_msg(function(msg) {
        //console.log('receiving', msg['content']['data'], msg);
        // Pass the mpl event to the overridden (by mpl) onmessage function.
        ws.onmessage(msg['content']['data'])
    });
    return ws;
}

mpl.mpl_figure_comm = function(comm, msg) {
    // This is the function which gets called when the mpl process
    // starts-up an IPython Comm through the "matplotlib" channel.

    var id = msg.content.data.id;
    // Get hold of the div created by the display call when the Comm
    // socket was opened in Python.
    var element = $("#" + id);
    var ws_proxy = comm_websocket_adapter(comm)

    function ondownload(figure, format) {
        window.open(figure.imageObj.src);
    }

    var fig = new mpl.figure(id, ws_proxy,
                           ondownload,
                           element.get(0));

    // Call onopen now - mpl needs it, as it is assuming we've passed it a real
    // web socket which is closed, not our websocket->open comm proxy.
    ws_proxy.onopen();

    fig.parent_element = element.get(0);
    fig.cell_info = mpl.find_output_cell("<div id='" + id + "'></div>");
    if (!fig.cell_info) {
        console.error("Failed to find cell for figure", id, fig);
        return;
    }

    var output_index = fig.cell_info[2]
    var cell = fig.cell_info[0];

};

mpl.figure.prototype.handle_close = function(fig, msg) {
    var width = fig.canvas.width/mpl.ratio
    fig.root.unbind('remove')

    // Update the output cell to use the data from the current canvas.
    fig.push_to_output();
    var dataURL = fig.canvas.toDataURL();
    // Re-enable the keyboard manager in IPython - without this line, in FF,
    // the notebook keyboard shortcuts fail.
    IPython.keyboard_manager.enable()
    $(fig.parent_element).html('<img src="' + dataURL + '" width="' + width + '">');
    fig.close_ws(fig, msg);
}

mpl.figure.prototype.close_ws = function(fig, msg){
    fig.send_message('closing', msg);
    // fig.ws.close()
}

mpl.figure.prototype.push_to_output = function(remove_interactive) {
    // Turn the data on the canvas into data in the output cell.
    var width = this.canvas.width/mpl.ratio
    var dataURL = this.canvas.toDataURL();
    this.cell_info[1]['text/html'] = '<img src="' + dataURL + '" width="' + width + '">';
}

mpl.figure.prototype.updated_canvas_event = function() {
    // Tell IPython that the notebook contents must change.
    IPython.notebook.set_dirty(true);
    this.send_message("ack", {});
    var fig = this;
    // Wait a second, then push the new image to the DOM so
    // that it is saved nicely (might be nice to debounce this).
    setTimeout(function () { fig.push_to_output() }, 1000);
}

mpl.figure.prototype._init_toolbar = function() {
    var fig = this;

    var nav_element = $('<div/>')
    nav_element.attr('style', 'width: 100%');
    this.root.append(nav_element);

    // Define a callback function for later on.
    function toolbar_event(event) {
        return fig.toolbar_button_onclick(event['data']);
    }
    function toolbar_mouse_event(event) {
        return fig.toolbar_button_onmouseover(event['data']);
    }

    for(var toolbar_ind in mpl.toolbar_items){
        var name = mpl.toolbar_items[toolbar_ind][0];
        var tooltip = mpl.toolbar_items[toolbar_ind][1];
        var image = mpl.toolbar_items[toolbar_ind][2];
        var method_name = mpl.toolbar_items[toolbar_ind][3];

        if (!name) { continue; };

        var button = $('<button class="btn btn-default" href="#" title="' + name + '"><i class="fa ' + image + ' fa-lg"></i></button>');
        button.click(method_name, toolbar_event);
        button.mouseover(tooltip, toolbar_mouse_event);
        nav_element.append(button);
    }

    // Add the status bar.
    var status_bar = $('<span class="mpl-message" style="text-align:right; float: right;"/>');
    nav_element.append(status_bar);
    this.message = status_bar[0];

    // Add the close button to the window.
    var buttongrp = $('<div class="btn-group inline pull-right"></div>');
    var button = $('<button class="btn btn-mini btn-primary" href="#" title="Stop Interaction"><i class="fa fa-power-off icon-remove icon-large"></i></button>');
    button.click(function (evt) { fig.handle_close(fig, {}); } );
    button.mouseover('Stop Interaction', toolbar_mouse_event);
    buttongrp.append(button);
    var titlebar = this.root.find($('.ui-dialog-titlebar'));
    titlebar.prepend(buttongrp);
}

mpl.figure.prototype._root_extra_style = function(el){
    var fig = this
    el.on("remove", function(){
	fig.close_ws(fig, {});
    });
}

mpl.figure.prototype._canvas_extra_style = function(el){
    // this is important to make the div 'focusable
    el.attr('tabindex', 0)
    // reach out to IPython and tell the keyboard manager to turn it's self
    // off when our div gets focus

    // location in version 3
    if (IPython.notebook.keyboard_manager) {
        IPython.notebook.keyboard_manager.register_events(el);
    }
    else {
        // location in version 2
        IPython.keyboard_manager.register_events(el);
    }

}

mpl.figure.prototype._key_event_extra = function(event, name) {
    var manager = IPython.notebook.keyboard_manager;
    if (!manager)
        manager = IPython.keyboard_manager;

    // Check for shift+enter
    if (event.shiftKey && event.which == 13) {
        this.canvas_div.blur();
        event.shiftKey = false;
        // Send a "J" for go to next cell
        event.which = 74;
        event.keyCode = 74;
        manager.command_mode();
        manager.handle_keydown(event);
    }
}

mpl.figure.prototype.handle_save = function(fig, msg) {
    fig.ondownload(fig, null);
}


mpl.find_output_cell = function(html_output) {
    // Return the cell and output element which can be found *uniquely* in the notebook.
    // Note - this is a bit hacky, but it is done because the "notebook_saving.Notebook"
    // IPython event is triggered only after the cells have been serialised, which for
    // our purposes (turning an active figure into a static one), is too late.
    var cells = IPython.notebook.get_cells();
    var ncells = cells.length;
    for (var i=0; i<ncells; i++) {
        var cell = cells[i];
        if (cell.cell_type === 'code'){
            for (var j=0; j<cell.output_area.outputs.length; j++) {
                var data = cell.output_area.outputs[j];
                if (data.data) {
                    // IPython >= 3 moved mimebundle to data attribute of output
                    data = data.data;
                }
                if (data['text/html'] == html_output) {
                    return [cell, data, j];
                }
            }
        }
    }
}

// Register the function which deals with the matplotlib target/channel.
// The kernel may be null if the page has been refreshed.
if (IPython.notebook.kernel != null) {
    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);
}

</script>
</div>

</div>

<div class="output_area">

<div class="prompt"></div>


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" 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<pre>Pearson correlation, corr(U1, U2): -0.002997
Empirical probability of U1samples=0: 0.951760
Empirical probability of U1samples=0 when U2samples=0: 0.951594
Relative error of emprical probabilities: -0.000174
Empirical probability of U2samples=0: 0.854440
Empirical probability of U2samples=0 when U1samples=0: 0.854291
Relative error of emprical probabilities: -0.000174
Empirical probabilty of U&gt;=1: 0.186920
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<p>From the above, we can see that the impact of the independence assumption is very small.</p>
<p>We can now check the overall probability estimate.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">PrY2_eq_k</span><span class="p">(</span><span class="n">k</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;</span>
<span class="sd">    Return the probability that Y2=k, based on the formula above.</span>
<span class="sd">    &quot;&quot;&quot;</span>
    <span class="k">return</span> <span class="n">X2</span><span class="o">.</span><span class="n">pmf</span><span class="p">(</span><span class="n">k</span><span class="p">)</span><span class="o">*</span><span class="n">X1</span><span class="o">.</span><span class="n">cdf</span><span class="p">(</span><span class="n">m</span><span class="o">-</span><span class="n">k</span><span class="o">-</span><span class="mi">1</span><span class="p">)</span><span class="o">+</span><span class="n">X1</span><span class="o">.</span><span class="n">pmf</span><span class="p">(</span><span class="n">m</span><span class="o">-</span><span class="n">k</span><span class="p">)</span><span class="o">*</span><span class="n">X2</span><span class="o">.</span><span class="n">sf</span><span class="p">(</span><span class="n">k</span><span class="p">)</span><span class="o">+</span><span class="n">X2</span><span class="o">.</span><span class="n">pmf</span><span class="p">(</span><span class="n">k</span><span class="p">)</span><span class="o">*</span><span class="n">X1</span><span class="o">.</span><span class="n">pmf</span><span class="p">(</span><span class="n">m</span><span class="o">-</span><span class="n">k</span><span class="p">)</span>

<span class="n">PrU1_eq_0</span> <span class="o">=</span> <span class="n">binom</span><span class="o">.</span><span class="n">pmf</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="n">n1</span><span class="p">,</span><span class="n">p1</span><span class="p">)</span>
<span class="n">PrU2_eq_0</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">([</span><span class="n">binom</span><span class="o">.</span><span class="n">pmf</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">p2</span><span class="o">/</span><span class="p">(</span><span class="mi">1</span><span class="o">-</span><span class="n">z2</span><span class="p">))</span><span class="o">*</span><span class="n">PrY2_eq_k</span><span class="p">(</span><span class="n">k</span><span class="p">)</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">m</span><span class="o">+</span><span class="mi">1</span><span class="p">)])</span>
<span class="n">PrUsum_geq_1</span> <span class="o">=</span> <span class="mi">1</span><span class="o">-</span><span class="n">PrU1_eq_0</span><span class="o">*</span><span class="n">PrU2_eq_0</span>

<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Pr(U_1=0)=</span><span class="si">{:.6f}</span><span class="s1"> (exact solution)&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">PrU1_eq_0</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Pr(U_2=0)=</span><span class="si">{:.6f}</span><span class="s1">, relative error: </span><span class="si">{:.6f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">PrU2_eq_0</span><span class="p">,</span> <span class="p">(</span><span class="n">PrU2_eq_0</span><span class="o">-</span><span class="n">EPU2eq0</span><span class="p">)</span><span class="o">/</span><span class="n">EPU2eq0</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Pr(U&gt;=1)=</span><span class="si">{:.6f}</span><span class="s1">, relative error: </span><span class="si">{:.6f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">PrUsum_geq_1</span><span class="p">,</span> <span class="p">(</span><span class="n">PrUsum_geq_1</span><span class="o">-</span><span class="n">EPUsum_geq_1</span><span class="p">)</span><span class="o">/</span><span class="n">EPUsum_geq_1</span><span class="p">))</span>
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<pre>Pr(U_1=0)=0.950990 (exact solution)
Pr(U_2=0)=0.853461, relative error: -0.001146
Pr(U&gt;=1)=0.188367, relative error: 0.007742
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<p>The probability estimates from the derived formulas agree very well with the empirical probabilities from the generated data.</p>
<h4 id="Expectation">Expectation<a class="anchor-link" href="#Expectation">&#182;</a></h4><p>Again we will assume $n_i \leq m$. By the law of total expectation,</p>
<p>\begin{align}
\mathrm{E}[U_2] &amp;= \sum_{k=0}^{m} \mathrm{E}[U_2 | Y_2 = k] \cdot \mathrm{Pr}(Y_2=k) \\
                &amp;= \frac{p_2}{1-z_2}\sum_{k=0}^{m} k \mathrm{Pr}(Y_2=k),
\end{align}</p>
<p>with $\mathrm{Pr}(Y_2=k)$ given above in the <em>Probability</em> section. The expected value of $U_1$ is</p>
<p>\begin{align}
\mathrm{E}[U_1] = n_1p_1.
\end{align}</p>
<p>Then the expected value of the sum is</p>
<p>\begin{align}
\mathrm{E}[U] = \mathrm{E}[U_1 + U_2] = \mathrm{E}[U_1] + \mathrm{E}[U_2] = n_1p_1 + \frac{p_2}{1-z_2}\sum_{k=0}^{m} k \mathrm{Pr}(Y_2=k).
\end{align}</p>
<p>Next, we compare the results of this formula with the empirical results from the generated data.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">EEU1samples</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">average</span><span class="p">(</span><span class="n">U1samples</span><span class="p">)</span>
<span class="n">EEU2samples</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">average</span><span class="p">(</span><span class="n">U2samples</span><span class="p">)</span>
<span class="n">EEUsum</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">average</span><span class="p">(</span><span class="n">U1samples</span><span class="o">+</span><span class="n">U2samples</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Empirical expected value of U1: </span><span class="si">{:.6f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">EEU1samples</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Empirical expected value of U2: </span><span class="si">{:.6f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">EEU2samples</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Empirical expected value of U: </span><span class="si">{:.6f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">EEUsum</span><span class="p">))</span>
<span class="n">EU1</span> <span class="o">=</span> <span class="n">n1</span><span class="o">*</span><span class="n">p1</span>
<span class="n">EU2</span> <span class="o">=</span> <span class="n">p2</span><span class="o">/</span><span class="p">(</span><span class="mi">1</span><span class="o">-</span><span class="n">z2</span><span class="p">)</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">([</span><span class="n">k</span><span class="o">*</span><span class="n">PrY2_eq_k</span><span class="p">(</span><span class="n">k</span><span class="p">)</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">m</span><span class="o">+</span><span class="mi">1</span><span class="p">)])</span>
<span class="n">EUsum</span> <span class="o">=</span> <span class="n">EU1</span> <span class="o">+</span> <span class="n">EU2</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;E[U1]: </span><span class="si">{:.6f}</span><span class="s1"> (exact solution)&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">EU1</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;E[U2]: </span><span class="si">{:.6f}</span><span class="s1"> (exact solution)&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">EU2</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;E[U]: </span><span class="si">{:.6f}</span><span class="s1"> (exact solution)&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">EUsum</span><span class="p">))</span>
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<pre>Empirical expected value of U1: 0.049220
Empirical expected value of U2: 0.153880
Empirical expected value of U: 0.203100
E[U1]: 0.050000 (exact solution)
E[U2]: 0.154340 (exact solution)
E[U]: 0.204340 (exact solution)
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<p>The results from the formulas match the empirical results very well.</p>
<h2 id="Duriel-drops">Duriel drops<a class="anchor-link" href="#Duriel-drops">&#182;</a></h2><h3 id="Problem-statement">Problem statement<a class="anchor-link" href="#Problem-statement">&#182;</a></h3><p>The <code>Duriel</code> TC is the only TC in the game that randomly drops into a TC that itself has more than 1 pick. Other TCs, such as <code>Countess</code>, drop into secondary TCs with multiple picks, but they will always drop a set number of picks from each. This is also true with <code>Super</code> TCs. They drop potions from the <code>Cpot</code> TCs, which have 2 picks each, but they drop a fixed amount of times from <code>Cpot</code>, and their total drops never exceed 6. The point is that if a TC drops a fixed number of times $\alpha$ into a secondary TC with $\beta$ picks, then it's no different than the primary TC dropping $\alpha \beta$ of those picks directly.</p>
<p>With <code>Duriel</code>, the number of times we drop from <code>Duriel - Base</code> is random, and this TC has 7 picks itself. We have no choice but to first roll the dice to see if <code>Duriel - Base</code> is selected, then evaluate the 7 picks if it was. This procedure must repeat another 4 times, or until the maximum of 6 drops.</p>
<p>We assume that the desired item can only come from <code>Duriel - Base</code>, as the only other item <code>Duriel</code> drops is a scroll of town portal (<code>tsc</code>). The probability of getting a <code>Duriel - Base</code> roll is $p_b$. The probability of no-drop from a single <code>Duriel - Base</code> drop is $z$. The probability of getting the desired item in a single <code>Duriel - Base</code> drop is $p$.</p>
<h3 id="Analysis">Analysis<a class="anchor-link" href="#Analysis">&#182;</a></h3><p>We can use a Markov chain model to calculate the probability of terminating in any of a number of finite states. The system state must be two dimensional because it's not enough to track only the total number of drops (which would include the <code>tsc</code> drops). It's also not enough to use only the number of <code>Duriel - Base</code> drops because we do not know how many drops are remaining. Therefore, the system state is chosen as the ordered pair $(T_n, Y_n)$, where $T_n$ is the number of <code>tsc</code> drops at step $n$ and $Y_n$ is the number of <code>Duriel - Base</code> drops at step $n$.</p>
<p>There are 28 possible states in the general $m=6$ case. They are enumerated below. We choose to include the $(5,1)$ and $(6,0)$ states for completeness, but in reality, only up to five <code>Duriel</code> Drops will occur, and these states are inaccessible.</p>
<table>
<thead><tr>
<th style="text-align:right">T</th>
<th style="text-align:right">Y</th>
<th style="text-align:right">count</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:right">0</td>
<td style="text-align:right">{0, 1, 2, 3, 4, 5, 6}</td>
<td style="text-align:right">7</td>
</tr>
<tr>
<td style="text-align:right">1</td>
<td style="text-align:right">{0, 1, 2, 3, 4, 5}</td>
<td style="text-align:right">6</td>
</tr>
<tr>
<td style="text-align:right">2</td>
<td style="text-align:right">{0, 1, 2, 3, 4}</td>
<td style="text-align:right">5</td>
</tr>
<tr>
<td style="text-align:right">3</td>
<td style="text-align:right">{0, 1, 2, 3}</td>
<td style="text-align:right">4</td>
</tr>
<tr>
<td style="text-align:right">4</td>
<td style="text-align:right">{0, 1, 2}</td>
<td style="text-align:right">3</td>
</tr>
<tr>
<td style="text-align:right">5</td>
<td style="text-align:right">{0, 1}</td>
<td style="text-align:right">2</td>
</tr>
<tr>
<td style="text-align:right">6</td>
<td style="text-align:right">0</td>
<td style="text-align:right">1</td>
</tr>
</tbody>
</table>
<p>What remains is to calculate the probability of advancing from one state to the next in order to populate the transition matrix. The transition matrix is 28 $\times$ 28. It is upper triangular, leaving 406 entries to populate. The upper triangular property is because the transitions are directed. It's possible to advance the state to a greater or equal number of items, but not to go in the reverse direction.</p>
<p>We must order the state vector in a manner to enforce the upper triangular condition. The sum of $T$ and $Y$ must not decrease as we advance though the vector. This means that $T$ and $Y$ are never permitted to both decrease from one element to the next, otherwise the sum would decrease. Equivalently, this means that traversing the elements in reverse order necessitates either $T$ or $Y$ to decrease, which is not a permitted transition, thus has zero probability. Therefore, the matrix is upper triangular.</p>
<p>We order the states the following way.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">states</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">([(</span><span class="n">x</span><span class="p">,</span><span class="n">y</span><span class="p">)</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">7</span><span class="p">)</span> <span class="k">for</span> <span class="n">y</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">7</span><span class="o">-</span><span class="n">x</span><span class="p">)],</span> <span class="n">key</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">+</span><span class="n">x</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Number of states: </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="nb">len</span><span class="p">(</span><span class="n">states</span><span class="p">)))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Ordered states: </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">states</span><span class="p">))</span>
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<pre>Number of states: 28
Ordered states: [(0, 0), (0, 1), (1, 0), (0, 2), (1, 1), (2, 0), (0, 3), (1, 2), (2, 1), (3, 0), (0, 4), (1, 3), (2, 2), (3, 1), (4, 0), (0, 5), (1, 4), (2, 3), (3, 2), (4, 1), (5, 0), (0, 6), (1, 5), (2, 4), (3, 3), (4, 2), (5, 1), (6, 0)]
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<p>There are two types of possible transitions. They are</p>
<p>\begin{align}
(t, y) &amp;\rightarrow (t, y+k) \\
(t, y) &amp;\rightarrow (t+1, y),
\end{align}</p>
<p>where $k \geq 0$. The first possibility is that <code>Duriel - Base</code> drops zero or more items. The second is the possibility that <code>Duriel</code> drops a <code>tsc</code> directly. Any transitions that do not fit the above description have zero probability. For the first case, we find</p>
<p>\begin{align}
&amp;\mathrm{Pr}(T_{n+1} = t \cap Y_{n+1} = y+k | T_{n} = t \cap Y_{n} =  y) \\
 &amp; \qquad = \mathrm{Pr}(T_{n+1}-T_n = 0 \cap Y_{n+1}-Y_{n} = k | T_{n} + Y_{n} = t + y) \\
 &amp; \qquad = \mathrm{Pr}(T_{n+1}-T_n = 0 | T_{n} + Y_{n} = t + y) \cdot \mathrm{Pr}(Y_{n+1}-Y_{n} = k | T_{n+1}-T_n = 0 \cap T_{n} + Y_{n} = t + y).
\end{align}</p>
<p>The first term is the probability that <code>Duriel</code> will <em>not</em> drop another <code>tsc</code> given how many total drops have occured. We find</p>
<p>\begin{align}
\mathrm{Pr}(T_{n+1}-T_n = 0 | T_{n} + Y_{n} = t + y) &amp;= \begin{cases}
    p_b &amp; t+y &lt; 6 \\
    1 &amp; t+y \geq 6
\end{cases},
\end{align}</p>
<p>The above states that <code>Duriel</code> cannot drop any more <code>tsc</code>s once the drop limitation is reached.</p>
<p>Much earlier, we found that the number of drops $Y$ from a monster with $n$ picks and $m$ maximum drops has the PMF</p>
<p>\begin{align}
\mathrm{Pr}(Y=k)&amp;= \begin{cases} 
      \mathrm{Pr}(X=k) &amp; k &lt; m \\
      \mathrm{Pr}(X \geq m) &amp; k = m \\
      0 &amp; k &gt; m
   \end{cases},
\end{align}</p>
<p>where $X \sim B(n, 1-z)$ is the number of drops before the maximum limitation. We can modify this slightly here to say</p>
<p>\begin{align}
\mathrm{Pr}(Y_{n+1}-Y_{n} = k | T_{n+1}-T_n = 0 \cap T_{n} + Y_{n} = t + y) &amp;= \begin{cases} 
      \mathrm{Pr}(X=k) &amp; k &lt; 6-t-y \\
      \mathrm{Pr}(X \geq 6-t-y) &amp; k = 6-t-y \\
      0 &amp; k &gt; 6-t-y 
   \end{cases}.
\end{align}</p>
<p>The probability of the second type of transition is</p>
<p>\begin{align}
&amp;\mathrm{Pr}(T_{n+1} = t+1 \cap Y_{n+1} = y | T_{n} + Y_{n} = t + y) \\
 &amp; \qquad = \mathrm{Pr}(T_{n+1}-T_n = 1 \cap Y_{n+1}-Y_{n} = 0 | T_{n} + Y_{n} = t + y) \\
 &amp; \qquad = \mathrm{Pr}(T_{n+1}-T_n = 1 | T_{n}+Y_{n}=t+y) \cdot \mathrm{Pr}(Y_{n+1}-Y_{n} = 0 | T_{n+1}-T_n = 1 \cap T_{n} + Y_{n} = t + y) \\
 &amp; \qquad = \mathrm{Pr}(T_{n+1}-T_n = 1 | T_{n} + Y_{n} = t + y) \\
 &amp; \qquad = \begin{cases}
     (1-p_b) &amp; t+y &lt; 6 \\
     0 &amp; t+y \geq 6
 \end{cases} . 
\end{align}</p>
<p>We now have all the necessary PMFs to fill out the matrix. We do so programmatically below.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pb</span> <span class="o">=</span> <span class="mf">2.</span><span class="o">/</span><span class="mi">3</span>

<span class="n">Td</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">states</span><span class="p">),</span><span class="nb">len</span><span class="p">(</span><span class="n">states</span><span class="p">)))</span>
<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">row</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">Td</span><span class="p">):</span>
    <span class="k">for</span> <span class="n">j</span><span class="p">,</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">row</span><span class="p">):</span>
        <span class="n">tn</span><span class="p">,</span> <span class="n">yn</span> <span class="o">=</span> <span class="n">states</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
        <span class="n">tn1</span><span class="p">,</span> <span class="n">yn1</span> <span class="o">=</span> <span class="n">states</span><span class="p">[</span><span class="n">j</span><span class="p">]</span>
        <span class="n">k</span> <span class="o">=</span> <span class="n">yn1</span> <span class="o">-</span> <span class="n">yn</span>
        <span class="k">if</span> <span class="n">tn</span><span class="o">==</span><span class="n">tn1</span> <span class="ow">and</span> <span class="n">k</span> <span class="o">&gt;=</span> <span class="mi">0</span><span class="p">:</span>
            <span class="n">Td</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">X</span><span class="o">.</span><span class="n">sf</span><span class="p">(</span><span class="mi">6</span><span class="o">-</span><span class="n">tn</span><span class="o">-</span><span class="n">yn</span><span class="o">-</span><span class="mi">1</span><span class="p">)</span> <span class="k">if</span> <span class="n">k</span><span class="o">==</span><span class="mi">6</span><span class="o">-</span><span class="n">tn</span><span class="o">-</span><span class="n">yn</span> <span class="k">else</span> <span class="mi">0</span> <span class="k">if</span> <span class="n">k</span> <span class="o">&gt;</span> <span class="mi">6</span><span class="o">-</span><span class="n">tn</span><span class="o">-</span><span class="n">yn</span> <span class="k">else</span> <span class="n">X</span><span class="o">.</span><span class="n">pmf</span><span class="p">(</span><span class="n">k</span><span class="p">))</span><span class="o">*</span><span class="p">(</span><span class="n">pb</span> <span class="k">if</span> <span class="n">tn</span><span class="o">+</span><span class="n">yn</span> <span class="o">&lt;</span> <span class="mi">6</span> <span class="k">else</span> <span class="mi">1</span><span class="p">)</span>
        <span class="k">elif</span> <span class="n">tn1</span><span class="o">-</span><span class="n">tn</span><span class="o">==</span><span class="mi">1</span> <span class="ow">and</span> <span class="n">k</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
            <span class="n">Td</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="mi">1</span><span class="o">-</span><span class="n">pb</span><span class="p">)</span> <span class="k">if</span> <span class="n">tn</span><span class="o">+</span><span class="n">yn</span> <span class="o">&lt;</span> <span class="mi">6</span> <span class="k">else</span> <span class="mi">0</span>
            
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;The sum of each row of the transition matrix (should be all ones):</span><span class="se">\n</span><span class="s1"> </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">Td</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)))</span>
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<pre>The sum of each row of the transition matrix (should be all ones):
 [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1.]
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<p>We can now find the probability of ending in any state at step $n$ by multiplying the initial state row vector by the transition matrix, that is,</p>
<p>\begin{align}
\mathbf{x}_n = \mathbf{x}_o \mathbf{P}^n.
\end{align}</p>
<p>The initial state $\mathbf{x}_o$ has a 1 in the first column and is zero everywhere else, meaning we start in state $(0,0)$. The probability of ending in each state is found as above. The PMF of the number of <code>Duriel - Base</code> drops can be computed by summing the probabilities of the states with identical <code>Duriel - Base</code> drops. Below, we perform this calculation and also generate a large sample of data for comparison. The results are presented on a combined histogram.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">x_o</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span><span class="nb">len</span><span class="p">(</span><span class="n">states</span><span class="p">)))</span>
<span class="n">x_o</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span>

<span class="n">x5</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="n">x_o</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">linalg</span><span class="o">.</span><span class="n">matrix_power</span><span class="p">(</span><span class="n">Td</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span>
<span class="n">y5</span> <span class="o">=</span> <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">x5</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">states</span><span class="p">)[:,</span><span class="mi">1</span><span class="p">]</span><span class="o">==</span><span class="n">i</span><span class="p">])</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">7</span><span class="p">)]</span>

<span class="n">num_d</span> <span class="o">=</span> <span class="mi">50000</span>
<span class="n">Td_samples</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="n">num_d</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s1">&#39;int&#39;</span><span class="p">)</span>
<span class="n">Yd_samples</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="n">num_d</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s1">&#39;int&#39;</span><span class="p">)</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">Yd_samples</span><span class="p">)):</span>
    <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">5</span><span class="p">):</span>
        <span class="n">t</span> <span class="o">=</span> <span class="n">binom</span><span class="o">.</span><span class="n">rvs</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="o">-</span><span class="n">pb</span><span class="p">)</span>
        <span class="n">Td_samples</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">+=</span> <span class="n">t</span>
        <span class="k">if</span> <span class="n">t</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
            <span class="n">Yd_samples</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">+=</span> <span class="n">np</span><span class="o">.</span><span class="n">minimum</span><span class="p">(</span><span class="n">X</span><span class="o">.</span><span class="n">rvs</span><span class="p">(),</span> <span class="n">m</span><span class="o">-</span><span class="n">Td_samples</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">-</span><span class="n">Yd_samples</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
        <span class="k">if</span> <span class="n">Td_samples</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">+</span> <span class="n">Yd_samples</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">&gt;=</span> <span class="n">m</span><span class="p">:</span> 
            <span class="k">if</span> <span class="n">Td_samples</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">+</span> <span class="n">Yd_samples</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">&gt;</span> <span class="n">m</span><span class="p">:</span> <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;This should not happen.&#39;</span><span class="p">)</span>
            <span class="k">break</span>
<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">bar</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">7</span><span class="p">),</span> <span class="n">y5</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;C0&#39;</span><span class="p">,</span> <span class="n">width</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">Yd_samples</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">8</span><span class="p">),</span> <span class="n">density</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">rwidth</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;C1&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="s1">&#39;calculated&#39;</span><span class="p">,</span> <span class="s1">&#39;simulated (N=</span><span class="si">{}</span><span class="s1">)&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">num_d</span><span class="p">)])</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;PMF of &quot;Duriel - Base&quot; drops</span><span class="se">\n</span><span class="s1">with NoDrop=</span><span class="si">{:.3f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">z</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;Number of &quot;Duriel - Base&quot; drops&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;Probability or normalized occurences&#39;</span><span class="p">)</span>
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    var x1 = msg['x1'] / mpl.ratio;
    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;
    x0 = Math.floor(x0) + 0.5;
    y0 = Math.floor(y0) + 0.5;
    x1 = Math.floor(x1) + 0.5;
    y1 = Math.floor(y1) + 0.5;
    var min_x = Math.min(x0, x1);
    var min_y = Math.min(y0, y1);
    var width = Math.abs(x1 - x0);
    var height = Math.abs(y1 - y0);

    fig.rubberband_context.clearRect(
        0, 0, fig.canvas.width, fig.canvas.height);

    fig.rubberband_context.strokeRect(min_x, min_y, width, height);
}

mpl.figure.prototype.handle_figure_label = function(fig, msg) {
    // Updates the figure title.
    fig.header.textContent = msg['label'];
}

mpl.figure.prototype.handle_cursor = function(fig, msg) {
    var cursor = msg['cursor'];
    switch(cursor)
    {
    case 0:
        cursor = 'pointer';
        break;
    case 1:
        cursor = 'default';
        break;
    case 2:
        cursor = 'crosshair';
        break;
    case 3:
        cursor = 'move';
        break;
    }
    fig.rubberband_canvas.style.cursor = cursor;
}

mpl.figure.prototype.handle_message = function(fig, msg) {
    fig.message.textContent = msg['message'];
}

mpl.figure.prototype.handle_draw = function(fig, msg) {
    // Request the server to send over a new figure.
    fig.send_draw_message();
}

mpl.figure.prototype.handle_image_mode = function(fig, msg) {
    fig.image_mode = msg['mode'];
}

mpl.figure.prototype.updated_canvas_event = function() {
    // Called whenever the canvas gets updated.
    this.send_message("ack", {});
}

// A function to construct a web socket function for onmessage handling.
// Called in the figure constructor.
mpl.figure.prototype._make_on_message_function = function(fig) {
    return function socket_on_message(evt) {
        if (evt.data instanceof Blob) {
            /* FIXME: We get "Resource interpreted as Image but
             * transferred with MIME type text/plain:" errors on
             * Chrome.  But how to set the MIME type?  It doesn't seem
             * to be part of the websocket stream */
            evt.data.type = "image/png";

            /* Free the memory for the previous frames */
            if (fig.imageObj.src) {
                (window.URL || window.webkitURL).revokeObjectURL(
                    fig.imageObj.src);
            }

            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(
                evt.data);
            fig.updated_canvas_event();
            fig.waiting = false;
            return;
        }
        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == "data:image/png;base64") {
            fig.imageObj.src = evt.data;
            fig.updated_canvas_event();
            fig.waiting = false;
            return;
        }

        var msg = JSON.parse(evt.data);
        var msg_type = msg['type'];

        // Call the  "handle_{type}" callback, which takes
        // the figure and JSON message as its only arguments.
        try {
            var callback = fig["handle_" + msg_type];
        } catch (e) {
            console.log("No handler for the '" + msg_type + "' message type: ", msg);
            return;
        }

        if (callback) {
            try {
                // console.log("Handling '" + msg_type + "' message: ", msg);
                callback(fig, msg);
            } catch (e) {
                console.log("Exception inside the 'handler_" + msg_type + "' callback:", e, e.stack, msg);
            }
        }
    };
}

// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas
mpl.findpos = function(e) {
    //this section is from http://www.quirksmode.org/js/events_properties.html
    var targ;
    if (!e)
        e = window.event;
    if (e.target)
        targ = e.target;
    else if (e.srcElement)
        targ = e.srcElement;
    if (targ.nodeType == 3) // defeat Safari bug
        targ = targ.parentNode;

    // jQuery normalizes the pageX and pageY
    // pageX,Y are the mouse positions relative to the document
    // offset() returns the position of the element relative to the document
    var x = e.pageX - $(targ).offset().left;
    var y = e.pageY - $(targ).offset().top;

    return {"x": x, "y": y};
};

/*
 * return a copy of an object with only non-object keys
 * we need this to avoid circular references
 * http://stackoverflow.com/a/24161582/3208463
 */
function simpleKeys (original) {
  return Object.keys(original).reduce(function (obj, key) {
    if (typeof original[key] !== 'object')
        obj[key] = original[key]
    return obj;
  }, {});
}

mpl.figure.prototype.mouse_event = function(event, name) {
    var canvas_pos = mpl.findpos(event)

    if (name === 'button_press')
    {
        this.canvas.focus();
        this.canvas_div.focus();
    }

    var x = canvas_pos.x * mpl.ratio;
    var y = canvas_pos.y * mpl.ratio;

    this.send_message(name, {x: x, y: y, button: event.button,
                             step: event.step,
                             guiEvent: simpleKeys(event)});

    /* This prevents the web browser from automatically changing to
     * the text insertion cursor when the button is pressed.  We want
     * to control all of the cursor setting manually through the
     * 'cursor' event from matplotlib */
    event.preventDefault();
    return false;
}

mpl.figure.prototype._key_event_extra = function(event, name) {
    // Handle any extra behaviour associated with a key event
}

mpl.figure.prototype.key_event = function(event, name) {

    // Prevent repeat events
    if (name == 'key_press')
    {
        if (event.which === this._key)
            return;
        else
            this._key = event.which;
    }
    if (name == 'key_release')
        this._key = null;

    var value = '';
    if (event.ctrlKey && event.which != 17)
        value += "ctrl+";
    if (event.altKey && event.which != 18)
        value += "alt+";
    if (event.shiftKey && event.which != 16)
        value += "shift+";

    value += 'k';
    value += event.which.toString();

    this._key_event_extra(event, name);

    this.send_message(name, {key: value,
                             guiEvent: simpleKeys(event)});
    return false;
}

mpl.figure.prototype.toolbar_button_onclick = function(name) {
    if (name == 'download') {
        this.handle_save(this, null);
    } else {
        this.send_message("toolbar_button", {name: name});
    }
};

mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {
    this.message.textContent = tooltip;
};
mpl.toolbar_items = [["Home", "Reset original view", "fa fa-home icon-home", "home"], ["Back", "Back to previous view", "fa fa-arrow-left icon-arrow-left", "back"], ["Forward", "Forward to next view", "fa fa-arrow-right icon-arrow-right", "forward"], ["", "", "", ""], ["Pan", "Pan axes with left mouse, zoom with right", "fa fa-arrows icon-move", "pan"], ["Zoom", "Zoom to rectangle", "fa fa-square-o icon-check-empty", "zoom"], ["", "", "", ""], ["Download", "Download plot", "fa fa-floppy-o icon-save", "download"]];

mpl.extensions = ["eps", "pdf", "png", "ps", "raw", "svg"];

mpl.default_extension = "png";var comm_websocket_adapter = function(comm) {
    // Create a "websocket"-like object which calls the given IPython comm
    // object with the appropriate methods. Currently this is a non binary
    // socket, so there is still some room for performance tuning.
    var ws = {};

    ws.close = function() {
        comm.close()
    };
    ws.send = function(m) {
        //console.log('sending', m);
        comm.send(m);
    };
    // Register the callback with on_msg.
    comm.on_msg(function(msg) {
        //console.log('receiving', msg['content']['data'], msg);
        // Pass the mpl event to the overridden (by mpl) onmessage function.
        ws.onmessage(msg['content']['data'])
    });
    return ws;
}

mpl.mpl_figure_comm = function(comm, msg) {
    // This is the function which gets called when the mpl process
    // starts-up an IPython Comm through the "matplotlib" channel.

    var id = msg.content.data.id;
    // Get hold of the div created by the display call when the Comm
    // socket was opened in Python.
    var element = $("#" + id);
    var ws_proxy = comm_websocket_adapter(comm)

    function ondownload(figure, format) {
        window.open(figure.imageObj.src);
    }

    var fig = new mpl.figure(id, ws_proxy,
                           ondownload,
                           element.get(0));

    // Call onopen now - mpl needs it, as it is assuming we've passed it a real
    // web socket which is closed, not our websocket->open comm proxy.
    ws_proxy.onopen();

    fig.parent_element = element.get(0);
    fig.cell_info = mpl.find_output_cell("<div id='" + id + "'></div>");
    if (!fig.cell_info) {
        console.error("Failed to find cell for figure", id, fig);
        return;
    }

    var output_index = fig.cell_info[2]
    var cell = fig.cell_info[0];

};

mpl.figure.prototype.handle_close = function(fig, msg) {
    var width = fig.canvas.width/mpl.ratio
    fig.root.unbind('remove')

    // Update the output cell to use the data from the current canvas.
    fig.push_to_output();
    var dataURL = fig.canvas.toDataURL();
    // Re-enable the keyboard manager in IPython - without this line, in FF,
    // the notebook keyboard shortcuts fail.
    IPython.keyboard_manager.enable()
    $(fig.parent_element).html('<img src="' + dataURL + '" width="' + width + '">');
    fig.close_ws(fig, msg);
}

mpl.figure.prototype.close_ws = function(fig, msg){
    fig.send_message('closing', msg);
    // fig.ws.close()
}

mpl.figure.prototype.push_to_output = function(remove_interactive) {
    // Turn the data on the canvas into data in the output cell.
    var width = this.canvas.width/mpl.ratio
    var dataURL = this.canvas.toDataURL();
    this.cell_info[1]['text/html'] = '<img src="' + dataURL + '" width="' + width + '">';
}

mpl.figure.prototype.updated_canvas_event = function() {
    // Tell IPython that the notebook contents must change.
    IPython.notebook.set_dirty(true);
    this.send_message("ack", {});
    var fig = this;
    // Wait a second, then push the new image to the DOM so
    // that it is saved nicely (might be nice to debounce this).
    setTimeout(function () { fig.push_to_output() }, 1000);
}

mpl.figure.prototype._init_toolbar = function() {
    var fig = this;

    var nav_element = $('<div/>')
    nav_element.attr('style', 'width: 100%');
    this.root.append(nav_element);

    // Define a callback function for later on.
    function toolbar_event(event) {
        return fig.toolbar_button_onclick(event['data']);
    }
    function toolbar_mouse_event(event) {
        return fig.toolbar_button_onmouseover(event['data']);
    }

    for(var toolbar_ind in mpl.toolbar_items){
        var name = mpl.toolbar_items[toolbar_ind][0];
        var tooltip = mpl.toolbar_items[toolbar_ind][1];
        var image = mpl.toolbar_items[toolbar_ind][2];
        var method_name = mpl.toolbar_items[toolbar_ind][3];

        if (!name) { continue; };

        var button = $('<button class="btn btn-default" href="#" title="' + name + '"><i class="fa ' + image + ' fa-lg"></i></button>');
        button.click(method_name, toolbar_event);
        button.mouseover(tooltip, toolbar_mouse_event);
        nav_element.append(button);
    }

    // Add the status bar.
    var status_bar = $('<span class="mpl-message" style="text-align:right; float: right;"/>');
    nav_element.append(status_bar);
    this.message = status_bar[0];

    // Add the close button to the window.
    var buttongrp = $('<div class="btn-group inline pull-right"></div>');
    var button = $('<button class="btn btn-mini btn-primary" href="#" title="Stop Interaction"><i class="fa fa-power-off icon-remove icon-large"></i></button>');
    button.click(function (evt) { fig.handle_close(fig, {}); } );
    button.mouseover('Stop Interaction', toolbar_mouse_event);
    buttongrp.append(button);
    var titlebar = this.root.find($('.ui-dialog-titlebar'));
    titlebar.prepend(buttongrp);
}

mpl.figure.prototype._root_extra_style = function(el){
    var fig = this
    el.on("remove", function(){
	fig.close_ws(fig, {});
    });
}

mpl.figure.prototype._canvas_extra_style = function(el){
    // this is important to make the div 'focusable
    el.attr('tabindex', 0)
    // reach out to IPython and tell the keyboard manager to turn it's self
    // off when our div gets focus

    // location in version 3
    if (IPython.notebook.keyboard_manager) {
        IPython.notebook.keyboard_manager.register_events(el);
    }
    else {
        // location in version 2
        IPython.keyboard_manager.register_events(el);
    }

}

mpl.figure.prototype._key_event_extra = function(event, name) {
    var manager = IPython.notebook.keyboard_manager;
    if (!manager)
        manager = IPython.keyboard_manager;

    // Check for shift+enter
    if (event.shiftKey && event.which == 13) {
        this.canvas_div.blur();
        event.shiftKey = false;
        // Send a "J" for go to next cell
        event.which = 74;
        event.keyCode = 74;
        manager.command_mode();
        manager.handle_keydown(event);
    }
}

mpl.figure.prototype.handle_save = function(fig, msg) {
    fig.ondownload(fig, null);
}


mpl.find_output_cell = function(html_output) {
    // Return the cell and output element which can be found *uniquely* in the notebook.
    // Note - this is a bit hacky, but it is done because the "notebook_saving.Notebook"
    // IPython event is triggered only after the cells have been serialised, which for
    // our purposes (turning an active figure into a static one), is too late.
    var cells = IPython.notebook.get_cells();
    var ncells = cells.length;
    for (var i=0; i<ncells; i++) {
        var cell = cells[i];
        if (cell.cell_type === 'code'){
            for (var j=0; j<cell.output_area.outputs.length; j++) {
                var data = cell.output_area.outputs[j];
                if (data.data) {
                    // IPython >= 3 moved mimebundle to data attribute of output
                    data = data.data;
                }
                if (data['text/html'] == html_output) {
                    return [cell, data, j];
                }
            }
        }
    }
}

// Register the function which deals with the matplotlib target/channel.
// The kernel may be null if the page has been refreshed.
if (IPython.notebook.kernel != null) {
    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);
}

</script>
</div>

</div>

<div class="output_area">

<div class="prompt"></div>


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" 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<pre>Text(0, 0.5, &#39;Probability or normalized occurences&#39;)</pre>
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<p>From the above, we can see that the results calculated through the Markov chain model are almost exactly matching the simulated results.</p>
<p>The complete transition matrix is given below.</p>

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<div class="prompt input_prompt">In&nbsp;[14]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">sys</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Transition matrix for z=</span><span class="si">{:.3f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">z</span><span class="p">))</span>
<span class="n">np</span><span class="o">.</span><span class="n">savetxt</span><span class="p">(</span><span class="n">sys</span><span class="o">.</span><span class="n">stdout</span><span class="p">,</span> <span class="n">Td</span><span class="p">,</span> <span class="n">fmt</span><span class="o">=</span><span class="s1">&#39;</span><span class="si">%.3e</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">delimiter</span><span class="o">=</span><span class="s1">&#39;,&#39;</span><span class="p">)</span>
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<pre>Transition matrix for z=0.300
1.458e-04,2.381e-03,3.333e-01,1.667e-02,0.000e+00,0.000e+00,6.483e-02,0.000e+00,0.000e+00,0.000e+00,1.513e-01,0.000e+00,0.000e+00,0.000e+00,0.000e+00,2.118e-01,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,2.196e-01,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00
0.000e+00,1.458e-04,0.000e+00,2.381e-03,3.333e-01,0.000e+00,1.667e-02,0.000e+00,0.000e+00,0.000e+00,6.483e-02,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.513e-01,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,4.314e-01,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00
0.000e+00,0.000e+00,1.458e-04,0.000e+00,2.381e-03,3.333e-01,0.000e+00,1.667e-02,0.000e+00,0.000e+00,0.000e+00,6.483e-02,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.513e-01,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,4.314e-01,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00
0.000e+00,0.000e+00,0.000e+00,1.458e-04,0.000e+00,0.000e+00,2.381e-03,3.333e-01,0.000e+00,0.000e+00,1.667e-02,0.000e+00,0.000e+00,0.000e+00,0.000e+00,6.483e-02,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,5.826e-01,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00
0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.458e-04,0.000e+00,0.000e+00,2.381e-03,3.333e-01,0.000e+00,0.000e+00,1.667e-02,0.000e+00,0.000e+00,0.000e+00,0.000e+00,6.483e-02,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,5.826e-01,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00
0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.458e-04,0.000e+00,0.000e+00,2.381e-03,3.333e-01,0.000e+00,0.000e+00,1.667e-02,0.000e+00,0.000e+00,0.000e+00,0.000e+00,6.483e-02,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,5.826e-01,0.000e+00,0.000e+00,0.000e+00,0.000e+00
0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.458e-04,0.000e+00,0.000e+00,0.000e+00,2.381e-03,3.333e-01,0.000e+00,0.000e+00,0.000e+00,1.667e-02,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,6.475e-01,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00
0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.458e-04,0.000e+00,0.000e+00,0.000e+00,2.381e-03,3.333e-01,0.000e+00,0.000e+00,0.000e+00,1.667e-02,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,6.475e-01,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00
0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.458e-04,0.000e+00,0.000e+00,0.000e+00,2.381e-03,3.333e-01,0.000e+00,0.000e+00,0.000e+00,1.667e-02,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,6.475e-01,0.000e+00,0.000e+00,0.000e+00,0.000e+00
0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.458e-04,0.000e+00,0.000e+00,0.000e+00,2.381e-03,3.333e-01,0.000e+00,0.000e+00,0.000e+00,1.667e-02,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,6.475e-01,0.000e+00,0.000e+00,0.000e+00
0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.458e-04,0.000e+00,0.000e+00,0.000e+00,0.000e+00,2.381e-03,3.333e-01,0.000e+00,0.000e+00,0.000e+00,0.000e+00,6.641e-01,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00
0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.458e-04,0.000e+00,0.000e+00,0.000e+00,0.000e+00,2.381e-03,3.333e-01,0.000e+00,0.000e+00,0.000e+00,0.000e+00,6.641e-01,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00
0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.458e-04,0.000e+00,0.000e+00,0.000e+00,0.000e+00,2.381e-03,3.333e-01,0.000e+00,0.000e+00,0.000e+00,0.000e+00,6.641e-01,0.000e+00,0.000e+00,0.000e+00,0.000e+00
0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.458e-04,0.000e+00,0.000e+00,0.000e+00,0.000e+00,2.381e-03,3.333e-01,0.000e+00,0.000e+00,0.000e+00,0.000e+00,6.641e-01,0.000e+00,0.000e+00,0.000e+00
0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.458e-04,0.000e+00,0.000e+00,0.000e+00,0.000e+00,2.381e-03,3.333e-01,0.000e+00,0.000e+00,0.000e+00,0.000e+00,6.641e-01,0.000e+00,0.000e+00
0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.458e-04,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,6.665e-01,3.333e-01,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00
0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.458e-04,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,6.665e-01,3.333e-01,0.000e+00,0.000e+00,0.000e+00,0.000e+00
0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.458e-04,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,6.665e-01,3.333e-01,0.000e+00,0.000e+00,0.000e+00
0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.458e-04,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,6.665e-01,3.333e-01,0.000e+00,0.000e+00
0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.458e-04,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,6.665e-01,3.333e-01,0.000e+00
0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.458e-04,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,6.665e-01,3.333e-01
0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00
0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00
0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00
0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.000e+00,0.000e+00,0.000e+00,0.000e+00
0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.000e+00,0.000e+00,0.000e+00
0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.000e+00,0.000e+00
0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,0.000e+00,1.000e+00
</pre>
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