project2.html

<!DOCTYPE html>
<html>
<head><meta charset="utf-8" />
<title>project2</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
*
*/
/*!
 * Bootstrap v3.3.7 (http://getbootstrap.com)
 * Copyright 2011-2016 Twitter, Inc.
 * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
 */
/*! 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 {
  overflow: auto;
}
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 {
  height: auto;
}
input[type="search"] {
  -webkit-appearance: textfield;
  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 {
  border: 0;
  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;
  }
  a,
  a:visited {
    text-decoration: underline;
  }
  a[href]:after {
    content: " (" attr(href) ")";
  }
  abbr[title]:after {
    content: " (" attr(title) ")";
  }
  a[href^="#"]:after,
  a[href^="javascript:"]:after {
    content: "";
  }
  pre,
  blockquote {
    border: 1px solid #999;
    page-break-inside: avoid;
  }
  thead {
    display: table-header-group;
  }
  tr,
  img {
    page-break-inside: avoid;
  }
  img {
    max-width: 100% !important;
  }
  p,
  h2,
  h3 {
    orphans: 3;
    widows: 3;
  }
  h2,
  h3 {
    page-break-after: avoid;
  }
  .navbar {
    display: none;
  }
  .btn > .caret,
  .dropup > .btn > .caret {
    border-top-color: #000 !important;
  }
  .label {
    border: 1px solid #000;
  }
  .table {
    border-collapse: collapse !important;
  }
  .table td,
  .table th {
    background-color: #fff !important;
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  .table-bordered th,
  .table-bordered td {
    border: 1px solid #ddd !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;
}
.glyphicon-asterisk:before {
  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";
}
.glyphicon-repeat:before {
  content: "\e030";
}
.glyphicon-refresh:before {
  content: "\e031";
}
.glyphicon-list-alt:before {
  content: "\e032";
}
.glyphicon-lock:before {
  content: "\e033";
}
.glyphicon-flag:before {
  content: "\e034";
}
.glyphicon-headphones:before {
  content: "\e035";
}
.glyphicon-volume-off:before {
  content: "\e036";
}
.glyphicon-volume-down:before {
  content: "\e037";
}
.glyphicon-volume-up:before {
  content: "\e038";
}
.glyphicon-qrcode:before {
  content: "\e039";
}
.glyphicon-barcode:before {
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}
.glyphicon-tag:before {
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}
.glyphicon-tags:before {
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}
.glyphicon-book:before {
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}
.glyphicon-bookmark:before {
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}
.glyphicon-print:before {
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}
.glyphicon-camera:before {
  content: "\e046";
}
.glyphicon-font:before {
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}
.glyphicon-bold:before {
  content: "\e048";
}
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}
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}
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}
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}
.glyphicon-align-right:before {
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}
.glyphicon-align-justify:before {
  content: "\e055";
}
.glyphicon-list:before {
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}
.glyphicon-indent-left:before {
  content: "\e057";
}
.glyphicon-indent-right:before {
  content: "\e058";
}
.glyphicon-facetime-video:before {
  content: "\e059";
}
.glyphicon-picture:before {
  content: "\e060";
}
.glyphicon-map-marker:before {
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}
.glyphicon-adjust:before {
  content: "\e063";
}
.glyphicon-tint:before {
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}
.glyphicon-edit:before {
  content: "\e065";
}
.glyphicon-share:before {
  content: "\e066";
}
.glyphicon-check:before {
  content: "\e067";
}
.glyphicon-move:before {
  content: "\e068";
}
.glyphicon-step-backward:before {
  content: "\e069";
}
.glyphicon-fast-backward:before {
  content: "\e070";
}
.glyphicon-backward:before {
  content: "\e071";
}
.glyphicon-play:before {
  content: "\e072";
}
.glyphicon-pause:before {
  content: "\e073";
}
.glyphicon-stop:before {
  content: "\e074";
}
.glyphicon-forward:before {
  content: "\e075";
}
.glyphicon-fast-forward:before {
  content: "\e076";
}
.glyphicon-step-forward:before {
  content: "\e077";
}
.glyphicon-eject:before {
  content: "\e078";
}
.glyphicon-chevron-left:before {
  content: "\e079";
}
.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 {
  content: "\e084";
}
.glyphicon-question-sign:before {
  content: "\e085";
}
.glyphicon-info-sign:before {
  content: "\e086";
}
.glyphicon-screenshot:before {
  content: "\e087";
}
.glyphicon-remove-circle:before {
  content: "\e088";
}
.glyphicon-ok-circle:before {
  content: "\e089";
}
.glyphicon-ban-circle:before {
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}
.glyphicon-arrow-left:before {
  content: "\e091";
}
.glyphicon-arrow-right:before {
  content: "\e092";
}
.glyphicon-arrow-up:before {
  content: "\e093";
}
.glyphicon-arrow-down:before {
  content: "\e094";
}
.glyphicon-share-alt:before {
  content: "\e095";
}
.glyphicon-resize-full:before {
  content: "\e096";
}
.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 {
  content: "\e123";
}
.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 {
  content: "\e138";
}
.glyphicon-briefcase:before {
  content: "\e139";
}
.glyphicon-fullscreen:before {
  content: "\e140";
}
.glyphicon-dashboard:before {
  content: "\e141";
}
.glyphicon-paperclip:before {
  content: "\e142";
}
.glyphicon-heart-empty:before {
  content: "\e143";
}
.glyphicon-link:before {
  content: "\e144";
}
.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 {
  content: "\e156";
}
.glyphicon-unchecked:before {
  content: "\e157";
}
.glyphicon-expand:before {
  content: "\e158";
}
.glyphicon-collapse-down:before {
  content: "\e159";
}
.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 {
  content: "\e166";
}
.glyphicon-open:before {
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}
.glyphicon-saved:before {
  content: "\e168";
}
.glyphicon-import:before {
  content: "\e169";
}
.glyphicon-export:before {
  content: "\e170";
}
.glyphicon-send:before {
  content: "\e171";
}
.glyphicon-floppy-disk:before {
  content: "\e172";
}
.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 {
  content: "\e179";
}
.glyphicon-header:before {
  content: "\e180";
}
.glyphicon-compressed:before {
  content: "\e181";
}
.glyphicon-earphone:before {
  content: "\e182";
}
.glyphicon-phone-alt:before {
  content: "\e183";
}
.glyphicon-tower:before {
  content: "\e184";
}
.glyphicon-stats:before {
  content: "\e185";
}
.glyphicon-sd-video:before {
  content: "\e186";
}
.glyphicon-hd-video:before {
  content: "\e187";
}
.glyphicon-subtitles:before {
  content: "\e188";
}
.glyphicon-sound-stereo:before {
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}
.glyphicon-sound-dolby:before {
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}
.glyphicon-sound-5-1:before {
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.glyphicon-sound-6-1:before {
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}
.glyphicon-sound-7-1:before {
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}
.glyphicon-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 {
  content: "\e199";
}
.glyphicon-tree-deciduous:before {
  content: "\e200";
}
.glyphicon-cd:before {
  content: "\e201";
}
.glyphicon-save-file:before {
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.glyphicon-open-file:before {
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}
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}
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}
.glyphicon-paste:before {
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}
.glyphicon-alert:before {
  content: "\e209";
}
.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 {
  content: "\e214";
}
.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 {
  content: "\e219";
}
.glyphicon-apple:before {
  content: "\f8ff";
}
.glyphicon-erase:before {
  content: "\e221";
}
.glyphicon-hourglass:before {
  content: "\231b";
}
.glyphicon-lamp:before {
  content: "\e223";
}
.glyphicon-duplicate:before {
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}
.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 {
  content: "\e237";
}
.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;
  min-height: 27px;
  margin-left: 0px;
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Load pickled data</span>
<span class="kn">import</span> <span class="nn">pickle</span>

<span class="c1"># TODO: Fill this in based on where you saved the training and testing data</span>

<span class="n">training_file</span> <span class="o">=</span> <span class="s2">&quot;/Users/rickerish_nah/Documents/ProjectCode/Udacity/Traffic Sign Classifier/traffic-signs-data/train.p&quot;</span>
<span class="n">validation_file</span><span class="o">=</span> <span class="s2">&quot;/Users/rickerish_nah/Documents/ProjectCode/Udacity/Traffic Sign Classifier/traffic-signs-data/valid.p&quot;</span>
<span class="n">testing_file</span> <span class="o">=</span> <span class="s2">&quot;/Users/rickerish_nah/Documents/ProjectCode/Udacity/Traffic Sign Classifier/traffic-signs-data/test.p&quot;</span>

<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">training_file</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;rb&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
    <span class="n">train</span> <span class="o">=</span> <span class="n">pickle</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">validation_file</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;rb&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
    <span class="n">valid</span> <span class="o">=</span> <span class="n">pickle</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">testing_file</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;rb&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
    <span class="n">test</span> <span class="o">=</span> <span class="n">pickle</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
    
<span class="n">X_train</span><span class="p">,</span> <span class="n">y_train</span> <span class="o">=</span> <span class="n">train</span><span class="p">[</span><span class="s1">&#39;features&#39;</span><span class="p">],</span> <span class="n">train</span><span class="p">[</span><span class="s1">&#39;labels&#39;</span><span class="p">]</span>
<span class="n">X_valid</span><span class="p">,</span> <span class="n">y_valid</span> <span class="o">=</span> <span class="n">valid</span><span class="p">[</span><span class="s1">&#39;features&#39;</span><span class="p">],</span> <span class="n">valid</span><span class="p">[</span><span class="s1">&#39;labels&#39;</span><span class="p">]</span>
<span class="n">X_test</span><span class="p">,</span> <span class="n">y_test</span> <span class="o">=</span> <span class="n">test</span><span class="p">[</span><span class="s1">&#39;features&#39;</span><span class="p">],</span> <span class="n">test</span><span class="p">[</span><span class="s1">&#39;labels&#39;</span><span class="p">]</span>
</pre></div>

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<div class="prompt input_prompt">In&nbsp;[2]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Size/Shape of each image in the dataset =&quot;</span><span class="p">,</span> <span class="n">X_train</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="mi">4</span><span class="p">])</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Number of training examples =&quot;</span><span class="p">,</span><span class="n">X_train</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Number of validation examples =&quot;</span><span class="p">,</span><span class="n">X_valid</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Number of testing examples =&quot;</span><span class="p">,</span> <span class="n">X_test</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
<span class="n">n_classes</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">unique</span><span class="p">(</span><span class="n">y_train</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Number of classes =&quot;</span><span class="p">,</span> <span class="n">n_classes</span><span class="p">)</span>
</pre></div>

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<pre>Size/Shape of each image in the dataset = (32, 32, 3)
Number of training examples = 34799
Number of validation examples = 4410
Number of testing examples = 12630
Number of classes = 43
</pre>
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<div class="prompt input_prompt">In&nbsp;[3]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">csv</span>
<span class="n">name_values</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">genfromtxt</span><span class="p">(</span><span class="s1">&#39;/Users/rickerish_nah/Documents/ProjectCode/Udacity/Traffic Sign Classifier/traffic-signs-data/signnames.csv&#39;</span><span class="p">,</span> <span class="n">skip_header</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="p">[(</span><span class="s1">&#39;myint&#39;</span><span class="p">,</span><span class="s1">&#39;i8&#39;</span><span class="p">),</span> <span class="p">(</span><span class="s1">&#39;mysring&#39;</span><span class="p">,</span><span class="s1">&#39;S55&#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>
</pre></div>

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<div class="prompt input_prompt">In&nbsp;[4]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="c1"># Visualizations :</span>
<span class="o">%</span><span class="k">matplotlib</span> inline
<span class="kn">import</span> <span class="nn">random</span>


<span class="k">def</span> <span class="nf">plot_figures</span><span class="p">(</span><span class="n">figures</span><span class="p">,</span> <span class="n">nr</span><span class="p">,</span> <span class="n">nc</span><span class="p">,</span> <span class="n">labels</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
    <span class="n">fig</span><span class="p">,</span> <span class="n">axs</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">ncols</span><span class="o">=</span><span class="n">nc</span><span class="p">,</span> <span class="n">nrows</span><span class="o">=</span><span class="n">nr</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">14</span><span class="p">))</span>
    <span class="n">axs</span> <span class="o">=</span> <span class="n">axs</span><span class="o">.</span><span class="n">ravel</span><span class="p">()</span>
    <span class="k">for</span> <span class="n">index</span><span class="p">,</span> <span class="n">title</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">figures</span><span class="p">)),</span> <span class="n">figures</span><span class="p">):</span>
        <span class="n">axs</span><span class="p">[</span><span class="n">index</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">figures</span><span class="p">[</span><span class="n">title</span><span class="p">],</span> <span class="n">plt</span><span class="o">.</span><span class="n">gray</span><span class="p">())</span>
        <span class="k">if</span><span class="p">(</span><span class="n">labels</span> <span class="o">!=</span> <span class="kc">None</span><span class="p">):</span>
           <span class="n">axs</span><span class="p">[</span><span class="n">index</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="n">labels</span><span class="p">[</span><span class="n">index</span><span class="p">])</span>
        <span class="k">else</span><span class="p">:</span>
            <span class="n">axs</span><span class="p">[</span><span class="n">index</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="n">title</span><span class="p">)</span>     
        <span class="n">axs</span><span class="p">[</span><span class="n">index</span><span class="p">]</span><span class="o">.</span><span class="n">set_axis_off</span><span class="p">()</span>   
    <span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span>
</pre></div>

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<div class="prompt input_prompt">In&nbsp;[5]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">n</span> <span class="o">=</span> <span class="mi">8</span>  <span class="c1">#number of images to display</span>
<span class="n">figures</span> <span class="o">=</span> <span class="p">{}</span>
<span class="n">labels</span> <span class="o">=</span> <span class="p">{}</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">n</span><span class="p">):</span>
    <span class="n">index</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">X_train</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
    <span class="n">labels</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="n">name_values</span><span class="p">[</span><span class="n">y_train</span><span class="p">[</span><span class="n">index</span><span class="p">]][</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">decode</span><span class="p">(</span><span class="s1">&#39;ascii&#39;</span><span class="p">)</span>
    <span class="n">figures</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="n">X_train</span><span class="p">[</span><span class="n">index</span><span class="p">]</span>
    
<span class="n">plot_figures</span><span class="p">(</span><span class="n">figures</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span> <span class="c1"># 4 x 2 = 8</span>
</pre></div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#DATA SET VISUALIZATION</span>
<span class="c1">#TRAIN</span>
<span class="n">unique_train</span><span class="p">,</span> <span class="n">counts_train</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">unique</span><span class="p">(</span><span class="n">y_train</span><span class="p">,</span> <span class="n">return_counts</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">bar</span><span class="p">(</span><span class="n">unique_train</span><span class="p">,</span> <span class="n">counts_train</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="s1">&#39;r&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Train Dataset Sign Counts&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
<span class="c1">#VALIDATION</span>
<span class="n">unique_valid</span><span class="p">,</span> <span class="n">counts_valid</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">unique</span><span class="p">(</span><span class="n">y_valid</span><span class="p">,</span> <span class="n">return_counts</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">bar</span><span class="p">(</span><span class="n">unique_valid</span><span class="p">,</span> <span class="n">counts_valid</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="s1">&#39;g&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Valid Dataset Sign Counts&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
<span class="c1">#TEST</span>
<span class="n">unique_test</span><span class="p">,</span> <span class="n">counts_test</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">unique</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">return_counts</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">bar</span><span class="p">(</span><span class="n">unique_test</span><span class="p">,</span> <span class="n">counts_test</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Test Dataset Sign Counts&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#DATA_PREPROCESSING:</span>
<span class="kn">import</span> <span class="nn">tensorflow</span> <span class="k">as</span> <span class="nn">tf</span>
<span class="kn">from</span> <span class="nn">tensorflow.contrib.layers</span> <span class="k">import</span> <span class="n">flatten</span>
<span class="kn">from</span> <span class="nn">math</span> <span class="k">import</span> <span class="n">ceil</span>
<span class="kn">from</span> <span class="nn">sklearn.utils</span> <span class="k">import</span> <span class="n">shuffle</span>

<span class="c1"># Convert to grayscale ............(1)</span>
<span class="n">X_train_rgb</span> <span class="o">=</span> <span class="n">X_train</span>
<span class="n">X_train_gray</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">X_train</span><span class="o">/</span><span class="mi">3</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">keepdims</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">X_train</span> <span class="o">=</span> <span class="n">X_train_gray</span>


<span class="n">X_valid_rgb</span> <span class="o">=</span> <span class="n">X_valid</span>
<span class="n">X_valid_gray</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">X_valid</span><span class="o">/</span><span class="mi">3</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">keepdims</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">X_valid</span> <span class="o">=</span> <span class="n">X_valid_gray</span>

<span class="n">X_test_rgb</span> <span class="o">=</span> <span class="n">X_test</span>
<span class="n">X_test_gray</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">X_test</span><span class="o">/</span><span class="mi">3</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">keepdims</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">X_test</span> <span class="o">=</span> <span class="n">X_test_gray</span>

<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Image shapes:&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Color:&quot;</span><span class="p">,</span><span class="n">X_train_rgb</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span><span class="s2">&quot; Grey:&quot;</span><span class="p">,</span><span class="n">X_train_gray</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Color:&quot;</span><span class="p">,</span><span class="n">X_valid_rgb</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span><span class="s2">&quot; Grey:&quot;</span><span class="p">,</span><span class="n">X_valid_gray</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Color:&quot;</span><span class="p">,</span><span class="n">X_test_rgb</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span><span class="s2">&quot; Grey:&quot;</span><span class="p">,</span><span class="n">X_test_gray</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
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<pre>WARNING:tensorflow:From /Users/rickerish_nah/Softwares/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/base.py:198: retry (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.
Instructions for updating:
Use the retry module or similar alternatives.
Image shapes:
Color: (34799, 32, 32, 3)  Grey: (34799, 32, 32, 1)
Color: (4410, 32, 32, 3)  Grey: (4410, 32, 32, 1)
Color: (12630, 32, 32, 3)  Grey: (12630, 32, 32, 1)
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#DISPLAYING GRAYSCALE IMAGES..</span>
<span class="n">n</span> <span class="o">=</span> <span class="mi">8</span>
<span class="n">figures</span> <span class="o">=</span> <span class="p">{}</span>
<span class="n">random_signs</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">n</span><span class="p">):</span>
    <span class="n">index</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">X_train</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
    <span class="n">labels</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="n">name_values</span><span class="p">[</span><span class="n">y_train</span><span class="p">[</span><span class="n">index</span><span class="p">]][</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">decode</span><span class="p">(</span><span class="s1">&#39;ascii&#39;</span><span class="p">)</span>
    <span class="n">figures</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="n">X_train</span><span class="p">[</span><span class="n">index</span><span class="p">]</span><span class="o">.</span><span class="n">squeeze</span><span class="p">()</span>
    <span class="n">random_signs</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">index</span><span class="p">)</span>
    
<span class="n">plot_figures</span><span class="p">(</span><span class="n">figures</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#DATA_NORMALIZATION.........(2)</span>
<span class="c1">## Normalize the train and test datasets to (-1,1)</span>

<span class="n">X_train_normalized</span> <span class="o">=</span> <span class="p">(</span><span class="n">X_train</span> <span class="o">-</span> <span class="mi">128</span><span class="p">)</span><span class="o">/</span><span class="mi">128</span> 
<span class="n">X_valid_normalized</span> <span class="o">=</span> <span class="p">(</span><span class="n">X_valid</span> <span class="o">-</span> <span class="mi">128</span><span class="p">)</span><span class="o">/</span><span class="mi">128</span>
<span class="n">X_test_normalized</span> <span class="o">=</span> <span class="p">(</span><span class="n">X_test</span> <span class="o">-</span> <span class="mi">128</span><span class="p">)</span><span class="o">/</span><span class="mi">128</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Actual Data MEAN: Train, Validation and Test&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">X_train</span><span class="p">),</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">X_valid</span><span class="p">),</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">X_test</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Normalized Data MEAN: Train, Validation and Test&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">X_train_normalized</span><span class="p">),</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">X_valid_normalized</span><span class="p">),</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">X_test_normalized</span><span class="p">))</span>

<span class="n">fig</span><span class="p">,</span> <span class="n">axs</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
<span class="n">axs</span> <span class="o">=</span> <span class="n">axs</span><span class="o">.</span><span class="n">ravel</span><span class="p">()</span>

<span class="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s1">&#39;off&#39;</span><span class="p">)</span>
<span class="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">&#39;normalized&#39;</span><span class="p">)</span>
<span class="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">X_train_normalized</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">squeeze</span><span class="p">(),</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">&#39;gray&#39;</span><span class="p">)</span>

<span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s1">&#39;off&#39;</span><span class="p">)</span>
<span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">&#39;original&#39;</span><span class="p">)</span>
<span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">X_train</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">squeeze</span><span class="p">(),</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">&#39;gray&#39;</span><span class="p">)</span>

<span class="n">fig</span><span class="p">,</span> <span class="n">axs</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
<span class="n">axs</span> <span class="o">=</span> <span class="n">axs</span><span class="o">.</span><span class="n">ravel</span><span class="p">()</span>

<span class="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s1">&#39;off&#39;</span><span class="p">)</span>
<span class="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">&#39;normalized&#39;</span><span class="p">)</span>
<span class="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">X_train_normalized</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">squeeze</span><span class="p">(),</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">&#39;gray&#39;</span><span class="p">)</span>

<span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s1">&#39;off&#39;</span><span class="p">)</span>
<span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">&#39;original&#39;</span><span class="p">)</span>
<span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">X_train</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">squeeze</span><span class="p">(),</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">&#39;gray&#39;</span><span class="p">)</span>
</pre></div>

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<pre>Actual Data MEAN: Train, Validation and Test
82.67758903699634 83.55642737563775 82.14846036120173
Normalized Data MEAN: Train, Validation and Test
-0.35408133564846583 -0.3472154111278294 -0.3582151534281105
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<pre>&lt;matplotlib.image.AxesImage at 0x148408518&gt;</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">tensorflow.contrib.layers</span> <span class="k">import</span> <span class="n">flatten</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">LeNet</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>    
    <span class="c1"># Hyperparameters</span>
    <span class="n">mu</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">sigma</span> <span class="o">=</span> <span class="mf">0.1</span>
    
    <span class="c1"># TODO: Layer 1: Convolutional. Input = 32x32x1. Output = 28x28x6.</span>
    <span class="n">W1</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">truncated_normal</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">6</span><span class="p">),</span> <span class="n">mean</span> <span class="o">=</span> <span class="n">mu</span><span class="p">,</span> <span class="n">stddev</span> <span class="o">=</span> <span class="n">sigma</span><span class="p">))</span>
    <span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">conv2d</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">W1</span><span class="p">,</span> <span class="n">strides</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">padding</span><span class="o">=</span><span class="s1">&#39;VALID&#39;</span><span class="p">)</span>
    <span class="n">b1</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="mi">6</span><span class="p">))</span>
    <span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">bias_add</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">b1</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;layer 1 shape:&quot;</span><span class="p">,</span><span class="n">x</span><span class="o">.</span><span class="n">get_shape</span><span class="p">())</span>

    <span class="c1"># TODO: Activation.</span>
    <span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
    
    <span class="c1"># TODO: Pooling. Input = 28x28x6. Output = 14x14x6.</span>
    <span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">max_pool</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">ksize</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">strides</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">padding</span><span class="o">=</span><span class="s1">&#39;VALID&#39;</span><span class="p">)</span>
    
    <span class="c1"># TODO: Layer 2: Convolutional. Output = 10x10x16.</span>
    <span class="n">W2</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">truncated_normal</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mi">16</span><span class="p">),</span> <span class="n">mean</span> <span class="o">=</span> <span class="n">mu</span><span class="p">,</span> <span class="n">stddev</span> <span class="o">=</span> <span class="n">sigma</span><span class="p">))</span>
    <span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">conv2d</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">W2</span><span class="p">,</span> <span class="n">strides</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">padding</span><span class="o">=</span><span class="s1">&#39;VALID&#39;</span><span class="p">)</span>
    <span class="n">b2</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="mi">16</span><span class="p">))</span>
    <span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">bias_add</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">b2</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;layer 2 shape:&quot;</span><span class="p">,</span><span class="n">x</span><span class="o">.</span><span class="n">get_shape</span><span class="p">())</span>
                     
    <span class="c1"># TODO: Activation.</span>
    <span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>

    <span class="c1"># TODO: Pooling. Input = 10x10x16. Output = 5x5x16.</span>
    <span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">max_pool</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">ksize</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">strides</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">padding</span><span class="o">=</span><span class="s1">&#39;VALID&#39;</span><span class="p">)</span>

    <span class="c1"># TODO: Flatten. Input = 5x5x16. Output = 400.</span>
    <span class="n">x</span> <span class="o">=</span> <span class="n">flatten</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
    
    <span class="c1"># TODO: Layer 3: Fully Connected. Input = 400. Output = 120.</span>
    <span class="n">W3</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">truncated_normal</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">400</span><span class="p">,</span> <span class="mi">120</span><span class="p">),</span> <span class="n">mean</span> <span class="o">=</span> <span class="n">mu</span><span class="p">,</span> <span class="n">stddev</span> <span class="o">=</span> <span class="n">sigma</span><span class="p">))</span>
    <span class="n">b3</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="mi">120</span><span class="p">))</span>    
    <span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">matmul</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">W3</span><span class="p">),</span> <span class="n">b3</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;layer 3 shape:&quot;</span><span class="p">,</span><span class="n">x</span><span class="o">.</span><span class="n">get_shape</span><span class="p">())</span>
    <span class="c1"># TODO: Activation.</span>
    <span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
    
    <span class="c1"># Dropout</span>
    <span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">dropout</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">keep_prob</span><span class="p">)</span>

    <span class="c1"># TODO: Layer 4: Fully Connected. Input = 120. Output = 84.</span>
    <span class="n">W4</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">truncated_normal</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">120</span><span class="p">,</span> <span class="mi">84</span><span class="p">),</span> <span class="n">mean</span> <span class="o">=</span> <span class="n">mu</span><span class="p">,</span> <span class="n">stddev</span> <span class="o">=</span> <span class="n">sigma</span><span class="p">))</span>
    <span class="n">b4</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="mi">84</span><span class="p">))</span> 
    <span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">matmul</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">W4</span><span class="p">),</span> <span class="n">b4</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;layer 4 shape:&quot;</span><span class="p">,</span><span class="n">x</span><span class="o">.</span><span class="n">get_shape</span><span class="p">())</span>
    
    <span class="c1"># TODO: Activation.</span>
    <span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
    
    <span class="c1"># Dropout</span>
    <span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">dropout</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">keep_prob</span><span class="p">)</span>

    <span class="c1"># TODO: Layer 5: Fully Connected. Input = 84. Output = 43.</span>
    <span class="n">W5</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">truncated_normal</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">84</span><span class="p">,</span> <span class="mi">43</span><span class="p">),</span> <span class="n">mean</span> <span class="o">=</span> <span class="n">mu</span><span class="p">,</span> <span class="n">stddev</span> <span class="o">=</span> <span class="n">sigma</span><span class="p">))</span>
    <span class="n">b5</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="mi">43</span><span class="p">))</span> 
    <span class="n">logits</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">matmul</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">W5</span><span class="p">),</span> <span class="n">b5</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;layer 5 shape:&quot;</span><span class="p">,</span><span class="n">logits</span><span class="o">.</span><span class="n">get_shape</span><span class="p">())</span>
    
    <span class="k">return</span> <span class="n">logits</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">evaluate</span><span class="p">(</span><span class="n">X_data</span><span class="p">,</span> <span class="n">y_data</span><span class="p">):</span>
    <span class="n">num_examples</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">X_data</span><span class="p">)</span>
    <span class="n">total_accuracy</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">sess</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">get_default_session</span><span class="p">()</span>
    <span class="k">for</span> <span class="n">offset</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">num_examples</span><span class="p">,</span> <span class="n">BATCH_SIZE</span><span class="p">):</span>
        <span class="n">batch_x</span><span class="p">,</span> <span class="n">batch_y</span> <span class="o">=</span> <span class="n">X_data</span><span class="p">[</span><span class="n">offset</span><span class="p">:</span><span class="n">offset</span><span class="o">+</span><span class="n">BATCH_SIZE</span><span class="p">],</span> <span class="n">y_data</span><span class="p">[</span><span class="n">offset</span><span class="p">:</span><span class="n">offset</span><span class="o">+</span><span class="n">BATCH_SIZE</span><span class="p">]</span>
        <span class="n">accuracy</span> <span class="o">=</span> <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">accuracy_operation</span><span class="p">,</span> <span class="n">feed_dict</span><span class="o">=</span><span class="p">{</span><span class="n">x</span><span class="p">:</span> <span class="n">batch_x</span><span class="p">,</span> <span class="n">y</span><span class="p">:</span> <span class="n">batch_y</span><span class="p">,</span> <span class="n">keep_prob</span><span class="p">:</span> <span class="mf">1.0</span><span class="p">})</span>
        <span class="n">total_accuracy</span> <span class="o">+=</span> <span class="p">(</span><span class="n">accuracy</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="n">batch_x</span><span class="p">))</span>
    <span class="k">return</span> <span class="n">total_accuracy</span> <span class="o">/</span> <span class="n">num_examples</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">placeholder</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="p">(</span><span class="kc">None</span><span class="p">,</span> <span class="mi">32</span><span class="p">,</span> <span class="mi">32</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
<span class="n">y</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">placeholder</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">int32</span><span class="p">,</span> <span class="p">(</span><span class="kc">None</span><span class="p">))</span>
<span class="n">keep_prob</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">placeholder</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> <span class="c1"># probability to keep units</span>
<span class="n">one_hot_y</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">one_hot</span><span class="p">(</span><span class="n">y</span><span class="p">,</span> <span class="mi">43</span><span class="p">)</span>

<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Variables Initialised...&#39;</span><span class="p">)</span>
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<pre>Variables Initialised...
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">EPOCHS</span> <span class="o">=</span> <span class="mi">60</span>
<span class="n">BATCH_SIZE</span> <span class="o">=</span> <span class="mi">100</span>
<span class="n">rate</span> <span class="o">=</span> <span class="mf">0.001</span>
<span class="n">logits</span> <span class="o">=</span> <span class="n">LeNet</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>

<span class="n">cross_entropy</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">softmax_cross_entropy_with_logits</span><span class="p">(</span><span class="n">logits</span><span class="o">=</span><span class="n">logits</span><span class="p">,</span> <span class="n">labels</span><span class="o">=</span><span class="n">one_hot_y</span><span class="p">)</span>
<span class="n">loss_operation</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="n">cross_entropy</span><span class="p">)</span>
<span class="n">optimizer</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">AdamOptimizer</span><span class="p">(</span><span class="n">learning_rate</span> <span class="o">=</span> <span class="n">rate</span><span class="p">)</span>
<span class="n">training_operation</span> <span class="o">=</span> <span class="n">optimizer</span><span class="o">.</span><span class="n">minimize</span><span class="p">(</span><span class="n">loss_operation</span><span class="p">)</span>

<span class="n">correct_prediction</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">equal</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">logits</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="n">tf</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">one_hot_y</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
<span class="n">accuracy_operation</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">cast</span><span class="p">(</span><span class="n">correct_prediction</span><span class="p">,</span> <span class="n">tf</span><span class="o">.</span><span class="n">float32</span><span class="p">))</span>
<span class="n">saver</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">Saver</span><span class="p">()</span>
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<pre>layer 1 shape: (?, 28, 28, 6)
layer 2 shape: (?, 10, 10, 16)
layer 3 shape: (?, 120)
layer 4 shape: (?, 84)
layer 5 shape: (?, 43)
WARNING:tensorflow:From &lt;ipython-input-15-e7a43c8c78bf&gt;:6: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.
Instructions for updating:

Future major versions of TensorFlow will allow gradients to flow
into the labels input on backprop by default.

See tf.nn.softmax_cross_entropy_with_logits_v2.

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">with</span> <span class="n">tf</span><span class="o">.</span><span class="n">Session</span><span class="p">()</span> <span class="k">as</span> <span class="n">sess</span><span class="p">:</span>
    <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">global_variables_initializer</span><span class="p">())</span>
    <span class="n">num_examples</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">X_train_normalized</span><span class="p">)</span>
    
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Training...&quot;</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">()</span>
    <span class="n">validation_accuracy_figure</span> <span class="o">=</span> <span class="p">[]</span>
    <span class="n">training_accuracy_figure</span> <span class="o">=</span> <span class="p">[]</span>
    <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">EPOCHS</span><span class="p">):</span>
        <span class="n">X_train_normalized</span><span class="p">,</span> <span class="n">y_train</span> <span class="o">=</span> <span class="n">shuffle</span><span class="p">(</span><span class="n">X_train_normalized</span><span class="p">,</span> <span class="n">y_train</span><span class="p">)</span>
        <span class="k">for</span> <span class="n">offset</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">num_examples</span><span class="p">,</span> <span class="n">BATCH_SIZE</span><span class="p">):</span>
            <span class="n">end</span> <span class="o">=</span> <span class="n">offset</span> <span class="o">+</span> <span class="n">BATCH_SIZE</span>
            <span class="n">batch_x</span><span class="p">,</span> <span class="n">batch_y</span> <span class="o">=</span> <span class="n">X_train_normalized</span><span class="p">[</span><span class="n">offset</span><span class="p">:</span><span class="n">end</span><span class="p">],</span> <span class="n">y_train</span><span class="p">[</span><span class="n">offset</span><span class="p">:</span><span class="n">end</span><span class="p">]</span>
            <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">training_operation</span><span class="p">,</span> <span class="n">feed_dict</span><span class="o">=</span><span class="p">{</span><span class="n">x</span><span class="p">:</span> <span class="n">batch_x</span><span class="p">,</span> <span class="n">y</span><span class="p">:</span> <span class="n">batch_y</span><span class="p">,</span> <span class="n">keep_prob</span><span class="p">:</span> <span class="mf">0.5</span><span class="p">})</span>
            
        <span class="n">validation_accuracy</span> <span class="o">=</span> <span class="n">evaluate</span><span class="p">(</span><span class="n">X_valid_normalized</span><span class="p">,</span> <span class="n">y_valid</span><span class="p">)</span>
        <span class="n">validation_accuracy_figure</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">validation_accuracy</span><span class="p">)</span>
        
        <span class="n">training_accuracy</span> <span class="o">=</span> <span class="n">evaluate</span><span class="p">(</span><span class="n">X_train_normalized</span><span class="p">,</span> <span class="n">y_train</span><span class="p">)</span>
        <span class="n">training_accuracy_figure</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">training_accuracy</span><span class="p">)</span>
        <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;EPOCH </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">i</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="s2">&quot;Training Accuracy = </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">training_accuracy</span><span class="p">))</span>
        <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Validation Accuracy = </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">validation_accuracy</span><span class="p">))</span>
        <span class="nb">print</span><span class="p">()</span>
        
    <span class="n">saver</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">sess</span><span class="p">,</span> <span class="s1">&#39;./lenet&#39;</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Model saved&quot;</span><span class="p">)</span>
</pre></div>

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<pre>Training...

EPOCH 1 ...
Training Accuracy = 0.690
Validation Accuracy = 0.660

EPOCH 2 ...
Training Accuracy = 0.847
Validation Accuracy = 0.792

EPOCH 3 ...
Training Accuracy = 0.911
Validation Accuracy = 0.867

EPOCH 4 ...
Training Accuracy = 0.934
Validation Accuracy = 0.883

EPOCH 5 ...
Training Accuracy = 0.945
Validation Accuracy = 0.902

EPOCH 6 ...
Training Accuracy = 0.959
Validation Accuracy = 0.923

EPOCH 7 ...
Training Accuracy = 0.962
Validation Accuracy = 0.924

EPOCH 8 ...
Training Accuracy = 0.975
Validation Accuracy = 0.941

EPOCH 9 ...
Training Accuracy = 0.980
Validation Accuracy = 0.951

EPOCH 10 ...
Training Accuracy = 0.983
Validation Accuracy = 0.953

EPOCH 11 ...
Training Accuracy = 0.985
Validation Accuracy = 0.955

EPOCH 12 ...
Training Accuracy = 0.984
Validation Accuracy = 0.948

EPOCH 13 ...
Training Accuracy = 0.986
Validation Accuracy = 0.945

EPOCH 14 ...
Training Accuracy = 0.988
Validation Accuracy = 0.951

EPOCH 15 ...
Training Accuracy = 0.989
Validation Accuracy = 0.956

EPOCH 16 ...
Training Accuracy = 0.991
Validation Accuracy = 0.958

EPOCH 17 ...
Training Accuracy = 0.992
Validation Accuracy = 0.961

EPOCH 18 ...
Training Accuracy = 0.991
Validation Accuracy = 0.959

EPOCH 19 ...
Training Accuracy = 0.993
Validation Accuracy = 0.958

EPOCH 20 ...
Training Accuracy = 0.992
Validation Accuracy = 0.956

EPOCH 21 ...
Training Accuracy = 0.993
Validation Accuracy = 0.968

EPOCH 22 ...
Training Accuracy = 0.994
Validation Accuracy = 0.963

EPOCH 23 ...
Training Accuracy = 0.994
Validation Accuracy = 0.959

EPOCH 24 ...
Training Accuracy = 0.995
Validation Accuracy = 0.965

EPOCH 25 ...
Training Accuracy = 0.996
Validation Accuracy = 0.971

EPOCH 26 ...
Training Accuracy = 0.995
Validation Accuracy = 0.969

EPOCH 27 ...
Training Accuracy = 0.996
Validation Accuracy = 0.970

EPOCH 28 ...
Training Accuracy = 0.997
Validation Accuracy = 0.972

EPOCH 29 ...
Training Accuracy = 0.996
Validation Accuracy = 0.969

EPOCH 30 ...
Training Accuracy = 0.996
Validation Accuracy = 0.970

EPOCH 31 ...
Training Accuracy = 0.997
Validation Accuracy = 0.967

EPOCH 32 ...
Training Accuracy = 0.997
Validation Accuracy = 0.973

EPOCH 33 ...
Training Accuracy = 0.996
Validation Accuracy = 0.964

EPOCH 34 ...
Training Accuracy = 0.998
Validation Accuracy = 0.971

EPOCH 35 ...
Training Accuracy = 0.998
Validation Accuracy = 0.968

EPOCH 36 ...
Training Accuracy = 0.998
Validation Accuracy = 0.970

EPOCH 37 ...
Training Accuracy = 0.998
Validation Accuracy = 0.971

EPOCH 38 ...
Training Accuracy = 0.998
Validation Accuracy = 0.972

EPOCH 39 ...
Training Accuracy = 0.998
Validation Accuracy = 0.972

EPOCH 40 ...
Training Accuracy = 0.998
Validation Accuracy = 0.973

EPOCH 41 ...
Training Accuracy = 0.997
Validation Accuracy = 0.967

EPOCH 42 ...
Training Accuracy = 0.998
Validation Accuracy = 0.970

EPOCH 43 ...
Training Accuracy = 0.998
Validation Accuracy = 0.971

EPOCH 44 ...
Training Accuracy = 0.998
Validation Accuracy = 0.973

EPOCH 45 ...
Training Accuracy = 0.998
Validation Accuracy = 0.971

EPOCH 46 ...
Training Accuracy = 0.999
Validation Accuracy = 0.976

EPOCH 47 ...
Training Accuracy = 0.998
Validation Accuracy = 0.971

EPOCH 48 ...
Training Accuracy = 0.999
Validation Accuracy = 0.976

EPOCH 49 ...
Training Accuracy = 0.999
Validation Accuracy = 0.976

EPOCH 50 ...
Training Accuracy = 0.999
Validation Accuracy = 0.975

EPOCH 51 ...
Training Accuracy = 0.999
Validation Accuracy = 0.972

EPOCH 52 ...
Training Accuracy = 0.999
Validation Accuracy = 0.973

EPOCH 53 ...
Training Accuracy = 0.999
Validation Accuracy = 0.975

EPOCH 54 ...
Training Accuracy = 0.999
Validation Accuracy = 0.970

EPOCH 55 ...
Training Accuracy = 0.999
Validation Accuracy = 0.970

EPOCH 56 ...
Training Accuracy = 0.999
Validation Accuracy = 0.972

EPOCH 57 ...
Training Accuracy = 0.999
Validation Accuracy = 0.970

EPOCH 58 ...
Training Accuracy = 0.999
Validation Accuracy = 0.973

EPOCH 59 ...
Training Accuracy = 0.999
Validation Accuracy = 0.975

EPOCH 60 ...
Training Accuracy = 0.999
Validation Accuracy = 0.976

Model saved
</pre>
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<div class="prompt input_prompt">In&nbsp;[23]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">training_accuracy_figure</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Training Accuracy&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>

<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">validation_accuracy_figure</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Validation Accuracy&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
</pre></div>

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F976Fm27D7MX11/2WmdwMzMbCq4pz+JntvXy5fu28ZbXrqYdS9bUu5yzMyO49CfJBHBp773K+qyGW65+mXlLsfMbEwO/Uly16PtPLx9P3/41gs8NdPMZiyP6Z+m7Xt7WP9EB19/+Fl+beUC3nf5inKXZGY2Lof+Kdjd1c8/P9HB9x/vYHPHYSR49TmL+OK7L/IJ08xsRnPon6SfPd3JB76+gXwhePmyeXzmqjVcdfESD+mY2azg0D8Jw/kCn12/mRULm/j6B36Nla3N5S7JzOyk+EDuSfjWI8+zo7OXT7/9Qge+mc1KJYW+pHWStkraLummMbafLel+SZskPShpWdG2vKTH09v6ySx+Oh3oHeLLP97Ga1a38oYLzih3OWZmp+SEwzuSssCtwJuBdmCDpPURsaVotz8FvhkR/1fSG4AvAu9Pt/VHxCWTXPe0+9J92+gdynPzVWt8Hnwzm7VK6elfDmyPiB0RMQTcAVw9ap81wP3p/QfG2D6rbd3Tzd/94nmuf+UKVi+eW+5yzMxOWSmhvxTYWbTcnq4r9gTwnvT+u4C5khalyw2SNkr6uaRrTqvaMogIPn/3FuY21PKxN72k3OWYmZ2WUkJ/rLGMGLX8B8DrJD0GvA7YBeTSbSsiYi3wPuDLks497gWkG9MPho2dnZ2lVz8NfvzUXh7avo+PvWk1C5rryl2OmdlpKSX024HlRcvLgI7iHSKiIyLeHRGXAp9K13WNbEt/7gAeBC4d/QIRcVtErI2ItW1tbafSjikxmMvzhR9s4bwz5nD9q84udzlmZqetlNDfAKyWtEpSHXAtcMwsHEmtkkae65PA7en6BZLqR/YBrgCKDwDPaF/9lx08t7+PT7/9Qmp9XVszqwAnTLKIyAEfBu4FngLujIjNkm6R9M50t9cDWyVtAxYDX0jXXwhslPQEyQHePxk162fGenJXF1/+8dO8/eIlvP58T9E0s8qgiNHD8+W1du3a2LhxY1lrGBjO846/fIjDA8Pc+7HXMr/JY/lmNrNJejQ9fjohn4ZhDP/nh1t5em8P3/rg5Q58M6soHqge5eHt+7j94Wf5wK+v5DWrZ85BZTOzyeDQL9LVN8wf/MMTnNPWzB+u80XNzazyeHinyM3rn6Sze5B//L1fp7EuW+5yzMwmnXv6qR9s2s33H+/gv75xNRcvm1/ucszMpoRDP3XbvzzDSxbP4fdef9wXhs3MKoZDH9jR2cMT7V381trl1PhLWGZWwZxwwPce70CCd7z8rHKXYmY2pao+9COC7z22iyvObfV1bs2s4lV96D+28xAvHOjj6kvcyzezylf1of+9x3ZRX5Nh3cvOLHcpZmZTrqpDfzhf4O5Nu3nTmsXMbagtdzlmZlOuqkP/oaf3caB3iHddMvpCYGZmlamqQ/+fHtvF/KZaXvsSn2PHzKpD1YZ+z2COH23Zw1UXL6GupmrfBjOrMlWbdj/avIeB4QLXeGjHzKpI1Yb+9x7vYNmCRl5x9oJyl2JmNm2qMvT3dg/w0NOdXHPJUiSVuxwzs2lTlaF/9xO7KQRcc6m/kGVm1aUqQ/9HW/awZkkL550xt9ylmJlNq6oM/Wf39bLmrJZyl2FmNu2qLvQHc3lePDzI8gVN5S7FzGzaVV3o7zrYD8CyBY1lrsTMbPqVFPqS1knaKmm7pJvG2H62pPslbZL0oKRlRdtukPR0erthMos/Fe1p6C9f6J6+mVWfE4a+pCxwK/BWYA1wnaQ1o3b7U+CbEXExcAvwxfSxC4HPAq8ELgc+K6msE+N3HuwD3NM3s+pUSk//cmB7ROyIiCHgDuDqUfusAe5P7z9QtP0twH0RcSAiDgL3AetOv+xT136wn9qsfMEUM6tKpYT+UmBn0XJ7uq7YE8B70vvvAuZKWlTiY6fVzgN9nDW/kWzGX8oys+pTSuiPlY4xavkPgNdJegx4HbALyJX4WCTdKGmjpI2dnZ0llHTq2g/2e+aOmVWtUkK/HVhetLwM6CjeISI6IuLdEXEp8Kl0XVcpj033vS0i1kbE2ra2qT3NcfvBPo/nm1nVKiX0NwCrJa2SVAdcC6wv3kFSq6SR5/okcHt6/17gSkkL0gO4V6bryqJ/KM++niHP3DGzqnXC0I+IHPBhkrB+CrgzIjZLukXSO9PdXg9slbQNWAx8IX3sAeDzJB8cG4Bb0nVl0e6ZO2ZW5WpK2Ski7gHuGbXu5qL7dwF3jfPY2zna8y+r9iNfzHJP38yqU1V9I3dkjv5y9/TNrEpVVei3H+ynviZD29z6cpdiZlYWVRX6Ow/0sXRBoy+cYmZVq6pC33P0zazaVVXo7zzYx/KFHs83s+pVNaHfPTDMob5hz9wxs6pWNaF/5JTKDn0zq2JVE/o7D/iLWWZmVRP6vniKmVkVhf7Og3001WVZ0FRb7lLMzMqmakJ/ZLqm5+ibWTWrmtDfecCnVDYzq4rQjwh2Hez3eL6ZVb2qCP2u/mG6B3Pu6ZtZ1auK0Pcplc3MElUR+p6jb2aWqIrQ9xx9M7NEVYT+zoN9zG2oYV6j5+ibWXWritD3KZXNzBJVEfqeo29mlqj40I+IpKfv8Xwzs8oP/f29Q/QP593TNzOjCkJ/ZLqmx/TNzEoMfUnrJG2VtF3STWNsXyHpAUmPSdok6W3p+pWS+iU9nt7+arIbcCJHvpjlyySamVFzoh0kZYFbgTcD7cAGSesjYkvRbp8G7oyIr0haA9wDrEy3PRMRl0xu2aXbeXDki1nu6ZuZldLTvxzYHhE7ImIIuAO4etQ+AbSk9+cBHZNX4ulpP9jPgqZa5tSf8PPNzKzilRL6S4GdRcvt6bpinwOul9RO0sv/SNG2Vemwz08lveZ0ij0VOw/0eeaOmVmqlNAf66ojMWr5OuAbEbEMeBvwLUkZYDewIiIuBf4b8PeSWkY9Fkk3StooaWNnZ+fJteAEdh3s98wdM7NUKaHfDiwvWl7G8cM3HwTuBIiIR4AGoDUiBiNif7r+UeAZ4CWjXyAibouItRGxtq2t7eRbMYG93YMsbmmY1Oc0M5utSgn9DcBqSask1QHXAutH7fMC8EYASReShH6npLb0QDCSzgFWAzsmq/gTiQh6h3LM9Xi+mRlQwuydiMhJ+jBwL5AFbo+IzZJuATZGxHrgE8BXJX2cZOjnAxERkl4L3CIpB+SB/xIRB6asNaP0DeWJgGaHvpkZUELoA0TEPSQHaIvX3Vx0fwtwxRiP+y7w3dOs8ZT1DuYAh76Z2YiK/kZudxr6nq5pZpao6NB3T9/M7FgVHfo9R0I/W+ZKzMxmhooO/d7BPODhHTOzERUe+h7eMTMrVtGhPzK843n6ZmaJig599/TNzI5V8aEvQVOdD+SamUGFh37PYJ7muhqksc4ZZ2ZWfSo89Ic9XdPMrEhFh37vYN7j+WZmRSo69HsGc56jb2ZWpKJDv3cwR3OdQ9/MbERFh37PYM7DO2ZmRSo69HuHcszxgVwzsyMqO/QH88xpcE/fzGxERYe+h3fMzI5VsaE/lCswlCswxwdyzcyOqNjQ93l3zMyOV7Gh3+NLJZqZHadiQ793yD19M7PRKjf0falEM7PjVGzo9/hSiWZmxykp9CWtk7RV0nZJN42xfYWkByQ9JmmTpLcVbftk+ritkt4ymcVPxAdyzcyOd8JElJQFbgXeDLQDGyStj4gtRbt9GrgzIr4iaQ1wD7AyvX8t8FLgLODHkl4SEfnJbshoPpBrZna8Unr6lwPbI2JHRAwBdwBXj9ongJb0/jygI71/NXBHRAxGxLPA9vT5plyvQ9/M7DilhP5SYGfRcnu6rtjngOsltZP08j9yEo+dEh7eMTM7XimhP9a1BmPU8nXANyJiGfA24FuSMiU+Fkk3StooaWNnZ2cJJZ1Y92COumyGupqKPVZtZnbSSknEdmB50fIyjg7fjPggcCdARDwCNACtJT6WiLgtItZGxNq2trbSq59A72DO0zXNzEYpJfQ3AKslrZJUR3Jgdv2ofV4A3ggg6UKS0O9M97tWUr2kVcBq4JeTVfxEfKlEM7PjnTAVIyIn6cPAvUAWuD0iNku6BdgYEeuBTwBflfRxkuGbD0REAJsl3QlsAXLA70/HzB3wpRLNzMZSUipGxD0kB2iL191cdH8LcMU4j/0C8IXTqPGU9Pq0ymZmx6nYo5wOfTOz41Vs6PcM5pjr0DczO0bFhn5yINezd8zMilVw6Ht4x8xstIoM/YigZ8izd8zMRqvI0O8byhPhUzCYmY1WkaHv8+6YmY2tIkP/6GmVfSDXzKxYRYZ+b3rVrOY69/TNzIpVZOj7AipmZmOryND3mL6Z2dgqM/SH0p5+g0PfzKxYRYa+h3fMzMZWmaE/4OEdM7OxVGToj4zpN9V6yqaZWbGKDP2ewTzNdVkymbEu0WtmVr0qMvR9sjUzs7FVZOj7ZGtmZmOryNB3T9/MbGwVHPo+iGtmNlpFhn7PYJ459bXlLsPMbMapyNDvHcz5DJtmZmOoyNDv8Zi+mdmYSgp9SeskbZW0XdJNY2z/kqTH09s2SYeKtuWLtq2fzOLH0zPo2TtmZmM5YTJKygK3Am8G2oENktZHxJaRfSLi40X7fwS4tOgp+iPikskreWLD+QJDuYJ7+mZmYyilp385sD0idkTEEHAHcPUE+18HfHsyijsVPq2ymdn4Sgn9pcDOouX2dN1xJJ0NrAJ+UrS6QdJGST+XdM0pV1oiXyrRzGx8pXSHxzqBTYyz77XAXRGRL1q3IiI6JJ0D/ETSryLimWNeQLoRuBFgxYoVJZQ0viOXSnRP38zsOKX09NuB5UXLy4COcfa9llFDOxHRkf7cATzIseP9I/vcFhFrI2JtW1tbCSWNr8fDO2Zm4yol9DcAqyWtklRHEuzHzcKRdD6wAHikaN0CSfXp/VbgCmDL6MdOppEx/bkOfTOz45wwGSMiJ+nDwL1AFrg9IjZLugXYGBEjHwDXAXdERPHQz4XAX0sqkHzA/EnxrJ+p4AO5ZmbjKykZI+Ie4J5R624etfy5MR73r8BFp1HfSev2pRLNzMZVcd/IdU/fzGx8FRz6nrJpZjZaxYV+z2Ce2qyor3Hom5mNVnGh7wuomJmNrzJDv86hb2Y2looLfZ9h08xsfBUX+r1DvlSimdl4Ki70ewbzzGnwpRLNzMZSeaE/MOwzbJqZjaPiQr93MO8DuWZm46jA0PeUTTOz8VRU6EcEvUOevWNmNp6KCv3+4TyF8Hl3zMzGU1Gh70slmplNrKJC35dKNDObWIWFvk+rbGY2kYoK/R5fKtHMbEIVFfru6ZuZTayiQr/HoW9mNqGKDH3P0zczG1tFhb4vlWhmNrGKCv2ekSmbPveOmdmYKir0ewdzNNVlyWRU7lLMzGakkkJf0jpJWyVtl3TTGNu/JOnx9LZN0qGibTdIejq93TCZxY/mk62ZmU3shAkpKQvcCrwZaAc2SFofEVtG9omIjxft/xHg0vT+QuCzwFoggEfTxx6c1FakfKlEM7OJldLTvxzYHhE7ImIIuAO4eoL9rwO+nd5/C3BfRBxIg/4+YN3pFDyRXoe+mdmESgn9pcDOouX2dN1xJJ0NrAJ+crKPnQy9g3nP3DEzm0ApoT/WUdEYZ99rgbsiIn8yj5V0o6SNkjZ2dnaWUNLYut3TNzObUCmh3w4sL1peBnSMs++1HB3aKfmxEXFbRKyNiLVtbW0llDQ2H8g1M5tYKaG/AVgtaZWkOpJgXz96J0nnAwuAR4pW3wtcKWmBpAXAlem6KeHQNzOb2AkTMiJykj5MEtZZ4PaI2CzpFmBjRIx8AFwH3BERUfTYA5I+T/LBAXBLRByY3CYc5dk7ZmYTKykhI+Ie4J5R624etfy5cR57O3D7KdZXsly+wGCu4G/jmplNoGK+kXv0qlmevWNmNp6KCf0gePvFS1i9eG65SzEzm7EqZixkflMdt77vsnKXYWY2o1VMT9/MzE7MoW9mVkUc+mZmVcShb2ZWRRz6ZmZVxKFvZlZFHPpmZlXEoW9mVkVUdH60GUFSJ/D8aTxFK7Bvksopt0pqC1RWeyqpLeD2zGSltuXsiDjhuelnXOifLkkbI2JtueuYDJXUFqis9lRSW8Dtmckmuy0e3jEzqyIOfTOzKlKJoX9buQuYRJXUFqis9lRSW8DtmckmtS0VN6ZvZmbWOoW/AAADjUlEQVTjq8SevpmZjcOhb2ZWRSom9CWtk7RV0nZJN5W7npMl6XZJeyU9WbRuoaT7JD2d/lxQzhpLJWm5pAckPSVps6SPputna3saJP1S0hNpe/4oXb9K0i/S9nxHUl25ay2VpKykxyTdnS7P5rY8J+lXkh6XtDFdNyt/1wAkzZd0l6R/T/8PvXoy21MRoS8pC9wKvBVYA1wnaU15qzpp3wDWjVp3E3B/RKwG7k+XZ4Mc8ImIuBB4FfD76b/HbG3PIPCGiHg5cAmwTtKrgP8NfCltz0Hgg2Ws8WR9FHiqaHk2twXgNyPikqL57LP1dw3gz4EfRsQFwMtJ/p0mrz0RMetvwKuBe4uWPwl8stx1nUI7VgJPFi1vBZak95cAW8td4ym26/vAmyuhPUAT8G/AK0m+JVmTrj/md3Am34BlaXC8Abgb0GxtS1rvc0DrqHWz8ncNaAGeJZ1kMxXtqYiePrAU2Fm03J6um+0WR8RugPTnGWWu56RJWglcCvyCWdyedDjkcWAvcB/wDHAoInLpLrPpd+7LwP8ACunyImZvWwAC+JGkRyXdmK6brb9r5wCdwNfT4be/kdTMJLanUkJfY6zzXNQykzQH+C7wsYg4XO56TkdE5CPiEpJe8uXAhWPtNr1VnTxJVwF7I+LR4tVj7Drj21Lkioi4jGR49/clvbbcBZ2GGuAy4CsRcSnQyyQPTVVK6LcDy4uWlwEdZaplMr0oaQlA+nNvmespmaRaksD/u4j4x3T1rG3PiIg4BDxIcqxivqSadNNs+Z27AninpOeAO0iGeL7M7GwLABHRkf7cC/wTyYfybP1dawfaI+IX6fJdJB8Ck9aeSgn9DcDqdAZCHXAtsL7MNU2G9cAN6f0bSMbGZzxJAr4GPBURf1a0aba2p03S/PR+I/AmkoNrDwDvTXebFe2JiE9GxLKIWEny/+QnEfE7zMK2AEhqljR35D5wJfAks/R3LSL2ADslnZ+ueiOwhclsT7kPXEziAZC3AdtIxlo/Ve56TqH+bwO7gWGST/sPkoy13g88nf5cWO46S2zLb5AMD2wCHk9vb5vF7bkYeCxtz5PAzen6c4BfAtuBfwDqy13rSbbr9cDds7ktad1PpLfNI//3Z+vvWlr7JcDG9Pfte8CCyWyPT8NgZlZFKmV4x8zMSuDQNzOrIg59M7Mq4tA3M6siDn0zsyri0DczqyIOfTOzKvL/AREiozMRc5kUAAAAAElFTkSuQmCC
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<div class="prompt input_prompt">In&nbsp;[25]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">with</span> <span class="n">tf</span><span class="o">.</span><span class="n">Session</span><span class="p">()</span> <span class="k">as</span> <span class="n">sess</span><span class="p">:</span>
    <span class="n">saver</span><span class="o">.</span><span class="n">restore</span><span class="p">(</span><span class="n">sess</span><span class="p">,</span> <span class="n">tf</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">latest_checkpoint</span><span class="p">(</span><span class="s1">&#39;.&#39;</span><span class="p">))</span>

    <span class="n">train_accuracy</span> <span class="o">=</span> <span class="n">evaluate</span><span class="p">(</span><span class="n">X_train_normalized</span><span class="p">,</span> <span class="n">y_train</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Train Accuracy = </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">train_accuracy</span><span class="p">))</span>
    
    <span class="n">valid_accuracy</span> <span class="o">=</span> <span class="n">evaluate</span><span class="p">(</span><span class="n">X_valid_normalized</span><span class="p">,</span> <span class="n">y_valid</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Valid Accuracy = </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">valid_accuracy</span><span class="p">))</span>    
    
    <span class="n">test_accuracy</span> <span class="o">=</span> <span class="n">evaluate</span><span class="p">(</span><span class="n">X_test_normalized</span><span class="p">,</span> <span class="n">y_test</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Test Accuracy = </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">test_accuracy</span><span class="p">))</span>
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<pre>INFO:tensorflow:Restoring parameters from ./lenet
Train Accuracy = 0.999
Valid Accuracy = 0.976
Test Accuracy = 0.951
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span>  <span class="nn">glob</span>
<span class="kn">import</span>  <span class="nn">cv2</span>

<span class="n">my_test_image</span>  <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">glob</span><span class="o">.</span><span class="n">glob</span><span class="p">(</span><span class="s1">&#39;/Users/rickerish_nah/Documents/ProjectCode/Udacity/Traffic Sign Classifier/Traffic Sign Classifier/extra_test/*.png&#39;</span><span class="p">))</span>
<span class="n">my_labels</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="mi">1</span><span class="p">,</span> <span class="mi">22</span><span class="p">,</span> <span class="mi">35</span><span class="p">,</span> <span class="mi">15</span><span class="p">,</span> <span class="mi">37</span><span class="p">,</span> <span class="mi">18</span><span class="p">])</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">figures</span> <span class="o">=</span> <span class="p">{}</span>
<span class="n">labels</span> <span class="o">=</span> <span class="p">{}</span>
<span class="n">my_signs</span> <span class="o">=</span> <span class="p">[]</span>
<span class="n">index</span> <span class="o">=</span> <span class="mi">0</span>
<span class="k">for</span> <span class="n">my_image</span> <span class="ow">in</span> <span class="n">my_test_image</span><span class="p">:</span>
    <span class="n">img</span> <span class="o">=</span> <span class="n">cv2</span><span class="o">.</span><span class="n">cvtColor</span><span class="p">(</span><span class="n">cv2</span><span class="o">.</span><span class="n">imread</span><span class="p">(</span><span class="n">my_image</span><span class="p">),</span> <span class="n">cv2</span><span class="o">.</span><span class="n">COLOR_BGR2RGB</span><span class="p">)</span>
    <span class="n">my_signs</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">img</span><span class="p">)</span>
    <span class="n">figures</span><span class="p">[</span><span class="n">index</span><span class="p">]</span> <span class="o">=</span> <span class="n">img</span>
    <span class="n">labels</span><span class="p">[</span><span class="n">index</span><span class="p">]</span> <span class="o">=</span> <span class="n">name_values</span><span class="p">[</span><span class="n">my_labels</span><span class="p">[</span><span class="n">index</span><span class="p">]][</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">decode</span><span class="p">(</span><span class="s1">&#39;ascii&#39;</span><span class="p">)</span>
    <span class="n">index</span> <span class="o">+=</span> <span class="mi">1</span>

<span class="n">plot_figures</span><span class="p">(</span><span class="n">figures</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
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kpLAgUgkfXFA2UrKbKQ+4hx+rZOfpWM+AnHyUxhh9H6tiIL1Ae2MpiKgSekuuAhvaHf6NKAwrybdKYSKK1JNRnxdboApfj5z8rMmZ/7D5l5+JFFMrN2w0KZKQRe0xs36QKdvaftLDMYjiLlFYGtDFIhSxq0sohAZrD2eTsr3OgNHMvmz58nM/XZ18hM6umM7JL1336nzNx77bUyM2vG7jJTLurirMhxEdsXrlADAAAAGRioAQAAgAwM1AAAAEAGBmoAAAAgAwM1AAAAkIGBGgAAAMjAQA0AAABkYKAGAAAAMgxpsUtra1lmNnXpAofxo3Vxycc++e8y0/Lr82Wm+ND9MuOB70tC6+q7fjrSHgfqzL++V2ZKk3aK7NCgZLbL9ekDO1XaZy+9nb0/LiPVOTfr7fzXN2WksH61zHhdv9B8jS5/af3aOTLz/vd/SGY++NF3ysyarj6ZGT9hjMys29QlM8Bwsr0VskT2J3K8v+fRxTKz5tobZab6kC6Xau2PPYZ95V6Z6brijzLz4DHHyszes3bVOzRIj/VgvYK2x9P44Ig8QrqIx4wr1AAAAEAWBmoAAAAgAwM1AAAAkIGBGgAAAMjAQA0AAABkYKAGAAAAMjBQAwAAABkYqAEAAIAMQ1rs0tWtF05PdT3jH/OiV8rMzHJFZoqBRdq9XpeZ0OrqBZ2p7neozBQ/+hGd6WjT+zNcC1mGkAcegBR56l/wfJmpTv6S3p+zztK3tVIXJhSTfk2XFy6UmUnX6vfPKS87Q2auvPxcmSm16VKouscW38ffq+2rJCW2P4NzEB60fpjA7myqVGXm7ptulZm+q66WmZYefZ63Qw/QGTOr3adL3LpvvVtm7r7xzzIzc8bbZKZQrslMSnpeCpW/BF4gabAGgtBrMRAapN3xQays4Qo1AAAAkIGBGgAAAMjAQA0AAABkYKAGAAAAMjBQAwAAABkYqAEAAIAMDNQAAABABgZqAAAAIMOQFruUy/rmPOlSktPf8CZ9Yz/6towUqv16O4GF0+uFwKLoU2bp/fnQ/5MZH6Efn0ghCQaHB5pdAp0+1rLbbjJT/eznZCYFXkNpwxqZ8cC6+sXfXiIzr/3aV2Xm7vl/kplV65fr/Snq8hcMP5HSidgxL9IoMVgNKENZIjNI5R6DVDQz//4HZKbz+utlprZ4mcxU28bIjB3/Qp0xs1LgQSrdeqfMrL/iWpm5/6hjZGa/mbvLTAocqAer1GewporY62xwxPZ58PaHK9QAAABABgZqAAAAIAMDNQAAAJCBgRoAAADIwEANAAAAZGCgBgAAADIwUAMAAAAZGKgBAACADENa7DKyvSgz++93rMzsUuuWmfKCh2SmYHp/UqCVo15slRl717tkpDh6lN6fVJeZebfdKjPX3XCVzJSLLTJz3ItPkpm9Z+0nM4VI+0l0afnASvbVWk1m5s+fKzMPPnyfzOy1py71OeR5R8pMYXdd/lJ753tlxr76RZ2p6senEMi0/PpimTnx5NNk5qJff19mNvVVZQbDT6S0JVb+Mhh787erbvr9vGGTLkN78EZ93Oy+SpefeI8+1xVPfL7MVNr1edXMrP78Q2Wm99a7ZKZt7u0ys+CGG2Vm5p76eF8q6ucsBa6bpsCbw00/H5FM7DQeudYbOC5ESlsGsWeGK9QAAABABgZqAAAAIAMDNQAAAJCBgRoAAADIwEANAAAAZGCgBgAAADIwUAMAAAAZGKgBAACADENa7NLW2iYzx5+gi0L8Gr0ovNV0yUNKgYXBAwue14/QpRylffcM7I9eYfzi310oM1/55pf1bdX0bQU6ZOzCX+v9Oevjn5WZE48/RWaixQy1ul7s/svnfEZmfnuJLiWp1vSDVArs+AnHnygzn/73c2SmePxxMtN/1WyZKd9xm8x4oAiidJMuMDjkNa+RmV8nXTJUrayTGeCpRI7BgyVUWBPYTuA0FtpQPbA/1992h8x0/nmOvrHla2SkMG6CzLQcepDM6Cqa5u2N31FmfNZeMtN7770ys+aKq2XmoWP0XDFr5q4yE7tuGnqlDVImYpC2M4TvZzOuUAMAAABZGKgBAACADAzUAAAAQAYGagAAACADAzUAAACQgYEaAAAAyMBADQAAAGRgoAYAAAAyDGmxixfKMnPwQfvr7fzuV/rG6sEWEHljgYfoxJMjG5KJDRt1McV3vvtNmdl5hyky8+F/+6TMRIpUvvLNz8vM176hi2aOOOwFMjN27Fi9Q2Y29xZdJvL7S3Vpy0H7HyEzr33l62XmxrnX6/25Qu/PIYccLjOvOvUNMlM4XWfS3brYpVDTL5Bif0VmRt93j8zsf7C+7zfO+aPM4O/XEHc8SKESmcBB2EP3S4dWrdsoM8tvvVNmeq/Vx19dCWXWeqI+J/SXW/WGqoGGMouVuBWOfb7MVO65X2Y2zZsnM3fdMl9mZu2xu8xYUd//QmA+iRnKa7SR9w/FLgAAAMCwwUANAAAAZGCgBgAAADIwUAMAAAAZGKgBAACADAzUAAAAQAYGagAAACADAzUAAACQYUiLXXacuJPMTCgGZvy1a2QkFfSC3h74fqK2wwSZKe6zp76twLrpy5aulJkD9ztSZk575atl5gXH6AXqI2U0H7SPyswHPvovMnPr/Ftk5iXHnSAzZmY3zLlOhwpFGTn781+UmYmB1/RxJ71EZh5e9KDMXP6HP8hMqNjl4ANlpr7TJL2dJY/KjNd0hUNhzk0ys/dLXyQz11x/hczg71ngnBA5UEduaZBaZCJbiXRXVANbmjfvdpnZcPU1+rY2dMpMYeIuMlPedx+Z6a8HSluCz4UHznf1iTvLTMesPfR27tblL2svv1JmFh15lMzstsdkmcHg4Ao1AAAAkIGBGgAAAMjAQA0AAABkYKAGAAAAMjBQAwAAABkYqAEAAIAMDNQAAABABgZqAAAAIMOQFrtMn7qbzNQef1RmWuqh5e5lIrLeu8/aW4dKLYH90fbZR9/WN7/2jcCW9H0frAKDnXbWC91HrF23blC2Y2a2ceNGmSkWyzIzYYIu9Yk8jsWiLpGZOXMvmZl7y1yZiVRBFEp6f2qHHKpvauljem8K+nv2dP8CmZn6Fl1Ys25Dt8xgOAqUd4QqUAJbGZzNDDH9+CxauUpmHpt7m8z0XHerzKSqjFjHCS/Qt1XWx6mC6/ue6rFzXSHwGqonva3CPxwmM12BYpe+a3Xh1by5OrPbHq+VmdB7LAWuvwaej+1NCsxLUVyhBgAAADIwUAMAAAAZGKgBAACADAzUAAAAQAYGagAAACADAzUAAACQgYEaAAAAyMBADQAAAGQY0mKX8RMmyUxhzVq9oUCxS2R98XoxsJD75OkyUw6sCz5YRSqR0paIFGgwiGQuvfz3gRvTkZl7zdShoHJZl7bU65FCgMCOD9K3pO56Q329vYEtBV7TkeKfffbRN/X73+jtBN6IxWq/zIyv12Sm0hdolACGkULS75++wGHq5ptvkZneq66VmVJfj76xGXvKSHlm4Hhf1cepelkfN+umjx1mFusGipwTpk6WkeKeuuQuPbhIZlZf9ieZWXTk4TKz24wpMhN6gIZhM9LgzWZcoQYAAACyMFADAAAAGRioAQAAgAwM1AAAAEAGBmoAAAAgAwM1AAAAkIGBGgAAAMjAQA0AAABkGNJilxEjR8pMvatTZjyydngooxf0LowdpfdnEBcGHyq//s2FMnPRxRfIzIMPPigzL37hSTKz/34HyEz0cW7vaJeZetKL/ff198lMRynyFtL73draJjPVmi4uSYEiiIIXZaY2cYLMxNb5D+xPoMBhZCBTsxa9Q8AwEqkkue/xpTKz4cb5MtM77w6ZqQbOmSOPO1JmegLFWoWiLnwqVXSJV/SyYaTIrB4omEpJH1/HvuhomVl5vz639l93g8zccdM8mdl1t6ky46HBa/iJPO9RXKEGAAAAMjBQAwAAABkYqAEAAIAMDNQAAABABgZqAAAAIAMDNQAAAJCBgRoAAADIwEANAAAAZBjSYpe2sl7w3GqBpexrelF4iyzWXdCL1HuouGP46e2tyMz69d16Q5GHuaBDkcXVowuwtwVKUizwEurv18UCHR0jAnuk93vkSL2dSkU/Z5WqLn9pKevXdHHsaJlJgfvl9Uj7i46Ue3XJTntbq94QhqHIdZ9IBUrk+KHPCaGjUKCDqhAoPeqr6lu7+QZd2tI5+2qdqer32JhZ+8pMPVASUgw8XSlwnq/U9T4Xi4G5w8wKBZ0rBJ7YcqDYpb7rNJ2ZMUVnHn5MZhZfNltmHj3mKJnZbepOMhN53W9vBnOXuUINAAAAZGCgBgAAADIwUAMAAAAZGKgBAACADAzUAAAAQAYGagAAACADAzUAAACQgYEaAAAAyDCkrSWbertkprDDRL2hwIL4g7WIf32j3ufYsvHblzPe8CaZOf11p8vM93/wvzLzw3O/KzNXX3OVzBx/3EkyY2ZWcP2yToHCkUiRymApl8sy01/RRTO1ii52SfqmYsVIKbAkfqgFI3JbOlOI3RiGnUj1QiQzOK+PWBFE4PgS2NCc+XfJzIab5ujMgodkphQYB0rHHykzhRQYK1yfwz3wSBdK+ppgvR6ZF8zqdd02Uyzq+1YL3F4lcClz3IuPkZn1Dy2RmQ3XzJWZO+bqzPRpp8pM0QevoG2oDObecIUaAAAAyMBADQAAAGRgoAYAAAAyMFADAAAAGRioAQAAgAwM1AAAAEAGBmoAAAAgAwM1AAAAkGFIi11Wr9SLkNd3P0hvKLAofKQIwuuB7ydWrZSReuS29C2Ze6wyYDBEbqtU0g0gb3vr22Xmgl/+RGZuulmXExx/3IkyY2ZWLOmqnXpgOfdIIUBkkfrIY10oBPa5posHIq/FyLr61bUbZKY1cluBhf4jK+vXWlt1qG37KgzA4Ii8XmOHTh0arM6JyHGhe1OPzMy7Th8Xe668Wmaq+tBhIw7dV2Zq4wPFa67LpSywP5HjZi1yTAwWuxQKeh6oVHplpqWlRWY8UAdX32MPmSnuOllmeh99XGYe+a0uVlt65PNlZtrUnWQmVLk3OL18Q44r1AAAAEAGBmoAAAAgAwM1AAAAkIGBGgAAAMjAQA0AAABkYKAGAAAAMjBQAwAAABkYqAEAAIAMDNQAAABAhiFtSlyxapnM+JRpMlMv6N0uVAMNdpEGrofu1/tT121NkSa8rs5OmVm6TLce7TRxF5kZO3aczESaqlpadJtiOZDp6uqSmWg10ujRowNb0k9+X59uxQoZpPq1el1vp1oNtJQF7rsHXmeWAnVn9Ug7nd6frrJ+DfV3b9L7g2HHAwfqlPTrLNZEG2vVk5K+VnXz7XfKTO3uO2Sm77FHZabS2i4zI485Rmb6XZ/HUkVGLHQMGrTm4Oh2Aseqos509ekGzPZA82sxMOeMOla3F6459zGZ6bxGN3LOv+U2mZk26SSZqRf1eaMUaLFOQ9gsHcUVagAAACADAzUAAACQgYEaAAAAyMBADQAAAGRgoAYAAAAyMFADAAAAGRioAQAAgAwM1AAAAECGIS12eWzRIzLTPWaMzIwILFJvNV2SUjC9SL0FFs331Wv1diZOkJF161bLzDvefYbMHH3ki2Xm7M9+WWaKRf3ymDd/rsysX7dOZnabvpvMRMoAzMx2320PvaVAmcjvL/m1zLzn3f8mM7W6Llu54YZrZWbcOF3GM2LECJkJPY533qW3kiIlGDpTb2uTmWX1Pplp27k/sD/AtsXKRPT7Z+Mmff658Sr9nu/94/Uy0xMoJBl36KEy0zden3sjZWi1WqDwaZCKXdwDBSCh41Ts9oqBwp5iqUXvU2B/av2Bkq49ZspIYdIkmakuWSIzD/32Epl5/LCDZWbq1B1lpl6MFPNR7AIAAAD8TWGgBgAAADIwUAMAAAAZGKgBAACADAzUAAAAQAYGagAAACADAzUAAACQgYEaAAAAyDCkxS7dPd0y88Cih2XmoH31YubFW24L7ZPcTp/e5/7rb5CZ8qtfJTNTpkyXmSMOO0Zmrrr6SplZtWqlzOyyyy4yc+31upygo320zLz05FfIjAUKDMzMDn2eLjGYNXNfmfnBeT+Qmdvu1K+zzg0bZeaB+x+QmX/6p3fKTKlUlplat35N2026sMdDz4fOpN11qc+CJfq40N0fK/7BcDO+hIOLAAAgAElEQVRIz2tgMynQXBIpN7ntjnv0bc2/Q2a6Vq/R22nXZU6txzxfZqyui85qSZe21ANFKsWCvpZXq+vtFAJPRqTEy8ysvxIohirpxyhyXCzUAvs9SL0lrf+gn/vO83WJ2cZrbpaZW26YIzNTXvdqmbFAsUvkea0HXkORArsorlADAAAAGRioAQAAgAwM1AAAAEAGBmoAAAAgAwM1AAAAkIGBGgAAAMjAQA0AAABkYKAGAAAAMgxpsUt/pSoz112vS0kOPFqXm/itt+sdiiz0r9cFN7/0ch06+US9nY4OmfnUxz4jM/29+nG++RZdRnPX3bp4YPzYHWTm4x/7tMxMn76rzLjHVrovt7TIzJe+8FWZ+cznzpKZO26/U2a8oF9Er37Va2XmHW9/j8xEilQqs2fLTEtnp76pQPNAinzPfuQLZOSuu26SmbaiLrXB8JOSPp5FSh7cdSlHpExj06ZembnpyqtkZukcXZSRAkUqE486Qmb6S20yUww8zhs26pKqtevWyswuO+vSsNbWVpmpBZ73QqBExszMA7l6YGao9OvXR6mgX2iR810q63NdeeZeejs776gzy1fIzILZ18jMsqP0/DZ5mp4rQm/WYKnPYOEKNQAAAJCBgRoAAADIwEANAAAAZGCgBgAAADIwUAMAAAAZGKgBAACADAzUAAAAQAYGagAAACDDkBa7RNbYvvFGvSD+O978bpkpjh4tM+X1G/QOBdpfiiuWyEz1VxfLTOHMM2Rm7NhxMvPNr39HZh5++GGZ6erqkpm99tKLxo8cOVJmoqUtMXpbU6fuKjPf/96PZWbFCr3YfWubLlUYP368zESWqK8GCln8/J/rTH1wFs1PRf09+8bDD5aZW3/9Lb0/7UN6OMMQqVd1uYkHijLqpotLilVd/vKH2X+UmU1/vl7f1ib9Xq2P08eFtsMOlJly4ODx8OOPyMyvL/iFzPR298jM7nvo88YrX32azETKX6LnlnpVvz7qdV3SdfVsXU63YMG9MrPvfgfIzEtOPElmaiV9/8ccc6TMbLzoEpkp/VmXFc054TqZeek4XYTXMaJdZrq7u2WmrVWfn1s6RsmMGVeoAQAAgCwM1AAAAEAGBmoAAAAgAwM1AAAAkIGBGgAAAMjAQA0AAABkYKAGAAAAMjBQAwAAABmGttilrhfoX79htcxc+We9cPqrXvFKvT/nnSczXtcr4nukcuPii2Skuu9MmSkccqjOFHQ5wV576duKrIefIm09w1ShqB/HSZMnD8ptRR7HlPT7p/pf/ykzrcuXR3ZIRmoFnam84GiZmbP4LpmpjtAL9PcFCkAw/FSrFZkpl8oyUwiUDC1aqt8b9/7pzzLTNf8ememTCbOJLzpGZuquiykeW6nLxy755a9kpi9QlBGxaOFDMnPVFZfLzHEn6GKT9vaO0D5FzndXXzVbZubNvUlmIqfNm+fMkZliUY9wLzn+eH1j+82SkcK1uqyod+limXlktt7OAzNmyMyuu+lzrxf0e75W0WU9I2IvIa5QAwAAADkYqAEAAIAMDNQAAABABgZqAAAAIAMDNQAAAJCBgRoAAADIwEANAAAAZGCgBgAAADIMabFLvRYoiyjrGf/CC78vMy/5zoUyM+qPV8lMeZle6D/yXYn39ertnPNVmame9SmZKe63n94fD+x1qGwkUHwTWTEfUv/Pfi4z5Sv1azrybKTAc5ZKuvimfvrrZOYP531UZsqlVp3pHdLDGYbI+o1rZGZk+0iZ8UBR0yWXXab352pdTNHfr2tbRk6dqjMzdQHXn6+7Wmbmz7tVZvp69TlqsKSkyzTuvUsXPvV0632euc++oX1auPBhmXnw3rtlZvDKzvR2brrhWpnxgj6WH37kkTIz8qgjZGbD7/4gM93XzZWZu446TGZGjNTnhN332FVmerv7ZSaKK9QAAABABgZqAAAAIAMDNQAAAJCBgRoAAADIwEANAAAAZGCgBgAAADIwUAMAAAAZGKgBAACADEPahJBML6xfDLROrF23UmZ+dsGPZea973mPzNQ//RmZ8f6KzsiEWXHDeplJgf2p//M79G0df2Jgh/T3W3/vpS2RRfyrPZt05nvfk5nW318iM17VhQmWAs+r3orVX/UambnkYb2I/8JFS/SNVfSxY92abr0dDDsbNqyWmfbWsszce+8jMrPkhjkyU3lQF4BUSvrUustxL5KZWuAYvHq1fnyGsrRlsESOrQsfeiCQeXAwdqdpsEpbBke9ro/3c67VxT9t7R0yc9QRh8hM4bpbZGbT4kUyszRQ/lI/+iiZ2bCuU2a6N22UmR130CVMZlyhBgAAALIwUAMAAAAZGKgBAACADAzUAAAAQAYGagAAACADAzUAAACQgYEaAAAAyMBADQAAAGQY0mKX1ja9+H6pXJWZTX16MfMrrvqVzBx86BEyc+SbzpAZ/+nPZKZQq8mM1fWi8b5RL0Je/MbXZaZ29bUyk97wBn1bB+wrM4XikL7MBk21R5chpJtvlJn6T34iM62LdOmEB15Ckd6Buun3T23WPjKz5MX/IDMX/MdbZaZvjb5ja9bqcpyWwPEFw8/6J9bJzNgdJsvM5ZfPlpk1V+v3swXeP+177ykzxYk7yUwtUNTUESjlGDV6tMxUq/p9GCkSqadIuZQ+UEVuK1L+Ei5jiWwrBSqvAtsZxL0OCBTqlXTGvUVmysc8X2Yqv9MFZT03zZOZ6/6sC2uOe+ELZGbEiDaZieIKNQAAAJCBgRoAAADIwEANAAAAZGCgBgAAADIwUAMAAAAZGKgBAACADAzUAAAAQAYGagAAACDDkDZubOzS5Qzt7XrGL7pehLy3X5dyfOPrn5aZiV/6vszs8YpTZcZ/d7HMFAKL+IdWe9fdOFa6/TZ9U3ffLTP1SVP07uw9S2Z8qi5m8JZYcUe9p0eHHnlU395d+v4X16yRmVJFFyakFPneNtDs4rp4oD5pksx0f+QDMvPlr35IZjrX6/d8bVRFZrxTvzeqgccZw89lf7pIZmpXXCEz6296QGZWrn1CZia06CKVsUfoQomuQAFIIVCS8uKTjpeZf6i9WGY8cPqJnH9KgZKQYkEf7/r7+mSmFilaCcwLZmbVQPlara5PrrXAdlKgRCfyfPTXAsfOwEM0bocdZaZS0hsadcD+MrPpel0q1/n4ozKz8pY7ZGbN83Tx3Oo1+nW264wDZMaMK9QAAABAFgZqAAAAIAMDNQAAAJCBgRoAAADIwEANAAAAZGCgBgAAADIwUAMAAAAZGKgBAACADENa7FIutMlMf1+/zBRLesXzcmAx9w2dupTjox9+t8yc85XvycxuI/V9L/78fJ2p6ZX1PbL6fj2wnX69iH0hsAC7L35cZlJk9flAyYGZWTFw30IFOYHb81qkjCewHdP3vxYoQ6jvvpvMdH/iozLzH98+W2Y2dK6Qma61+oGulnTJwcgJutSno2OEzGD4ufG6O2Vmz533kZl7586XmdbA8bX9QF1U1d+izz8dtUBJSNKn6FpdH186Cvr90x0oCbHAMahQbJEZL+r7VQyMJ5Him7bWVpkxM6tU9P0vFvXzWq3q57UUuf+R2wrc/8iQVwjsj9X1Oao38LoffcTRMrPuiktkpuvmW2Tm5n1myMzLT32pzERxhRoAAADIwEANAAAAZGCgBgAAADIwUAMAAAAZGKgBAACADAzUAAAAQAYGagAAACADAzUAAACQYUiLXWqRheNNL1SeCnqB8U1denH1aqDdY+OG5TLzrve9WWbO+sQXZeboz+kyjfRf/y0zxeV6nz3wOHuk/CVSkBK5rdCGQjcWEilkSYNU/pI8ktFvxeopJ8rMxtNPk5lv/8/nZGb+ojkyY0X9/Xj7ZL2ZQosugqh0B0owqr36xjDsrF6ln9fW1ffKTHdfj8x40q/p2++6W2bK9+j9qbq+rd5CoCijrLczs6VdZjoCpTb1oj73VgIlMsWS3ue2wH23QKZe1scXM7NC4PxSi+x3Sd//WqDIrFbQ54RSoGinGikEC2QqdV3AZW16n1v79fkwUuHWvXCRzCy7Z4HMLNh7d5nZe+9DA3vEFWoAAAAgCwM1AAAAkIGBGgAAAMjAQA0AAABkYKAGAAAAMjBQAwAAABkYqAEAAIAMDNQAAABAhiEtdqkHikI62vUu9QUKYnr79f5UA+UeLUWd2dDzhMx8+GPvk5nTXvFGmXnXf3xeZkbPnSczxd9dIjO+TBfEWF0/PpsKekH4jrr+3i61ter9MTPr0UUQvYXAazGwuny9rBfxt0MOkZHqGa+XmVs2LZaZH33j7TLTvXaDzKRAqUDLeF2q0LOhS2asM1BwUQm8V3VXAoajPh0ptehjTFughKkeKRar6tvamPSLsT9Q7lENXPPq7tb73GUbZWam6wKUHVwXLBUD991MP4YpULLjFiiaCR4XUqDYpR5o+0qh65R6O4XAfesLPI5108fpSMmdfubN6oHtdAbuV6TYpT9QmFZ66DGdKcSKfyK4Qg0AAABkYKAGAAAAMjBQAwAAABkYqAEAAIAMDNQAAABABgZqAAAAIAMDNQAAAJCBgRoAAADIMKTFLm3teoHxUlln6oGylc6NesHzWmCB/nqg/KXkgYXTqz0yc975P5KZK668TGb++T1nysyxn/uUzOzSqQtS6rfdKTP9SxfKTNvK9TJTKMVerrVaYL93magzs/aVmd6D9pOZO5bcLzMX/eJsmbn/sbtlxquB8oqK/j660K4X3w+sq28Tx+8oM0sf0M/9xhW6VmD02EDJDoadFWtXycyUgw6WmelTdtE3FiglSYFyj76ebpkpFgJlVoHbCvRkWG/gXNdf0YVpFiiySoEikbZWXaZRKurjfSlwvEuBc7iZWa0eKJuJlL/U9HaKgUK0yHYKgddHZIYpBO57OXK/ArcVeTb6Ao9zW6QocNY0mRk9ckRgj2K4Qg0AAABkYKAGAAAAMjBQAwAAABkYqAEAAIAMDNQAAABABgZqAAAAIAMDNQAAAJCBgRoAAADI4KGF4wfJwYdPlTfWHljsvu56gfHOjfp+9fQGFjMvBhbfd31btULgcQ4UbkTKaA48cobMFKqjZGbqzrvLzBGH6UKFSVP0dnaYsJPMBNZ6NzOzzk2rZWbRIw/JzN133SEzDy+ZLzNPrF0rM6MnBJ77mm5wWPPoJplpHdUqM8U2Xc5Q7ggs9K83Y2uX9snMqkW6GGnU2DaZufv2JYEaDGxP2lvL8p3f2qKLQgqBZ75a0weZFLgOVWrRpSQjR42UmR126JCZvfeeLjO3z39EZp5YqwuWykVd7FJq1e9DL0YKdAJPWOCcEJ1x2toir6FAkUqguaQlUFJWCmQir/t64HEstenbqvTo4p+2kfq5b2nTr6EJY0bLzBGH6lK1o1/wIpk55PBDZKalZXzovMEVagAAACADAzUAAACQgYEaAAAAyMBADQAAAGRgoAYAAAAyMFADAAAAGRioAQAAgAwM1AAAAECGIS12AQAAAP7WcIUaAAAAyMBADQAAAGRgoAYAAAAyMFADAAAAGRioAQAAgAwM1AAAAEAGBmoAAAAgAwM1AAAAkIGBGgAAAMjAQA0AAABkYKAGAAAAMjBQAwAAABkYqAEAAIAMDNQAAABABgZqAAAAIAMDNQAAAJCBgRoAAADIwEANAAAAZGCgBgAAADIwUAMAAAAZGKgBAACADAzUAAAAQAYGagAAACADAzUAAACQgYEaAAAAyMBADQAAAGRgoAYAAAAyMFADAAAAGRioMSjc/cfufvYQ3daj7v6SZ2G717j7OwZ7uwCA5467v9Xdb3iKr//B3d8S2M6zcu7B3wYGajwtzaFznbu3Ptf7AgDYfjUH0JXuPmLA373D3a95Dnfrr6SUTk4p/eS53g8MbwzUCHP3Xc3sGDNLZvaK53RnAADDQcnM/vW53gng2cZAjafjTDO72cx+bGZb+/HYOHe/zN073X2uu8/Y/AV3n+XuV7n7Wnd/wN1fN+Brp7j77e6+0d0Xu/tnBm7U3d/s7o+5+xp3/+RT7aC7j3H3n7r7E81/8yl3LzS/9lZ3v8Hdv9q8yr7I3U/eyjZam/u5/4C/m+juPe4+IfZQAQDM7Ctm9iF3H7u1L7r7Ue4+z903NP//qG3kPubuF23xd99y9/9s/vcYd/+huy9396Xufra7F7fIb/XYv+XH/dz9n9x9QfNcdp+7P28r+1No7tPC5rnpl+4+vvm1Nnf/WfPv1zfv105P4zHDMMRAjafjTDP7efN/J27lAPEGM/usmY0zs4fN7AtmZs0f911lZueb2cRm7r/dfd/mv9vU3PZYMzvFzN7t7qc2/+0+ZvZdM3uzmU0ysx3MbMpT7OO3zWyMme1uZi9sbvdtA75+hJk9YGY7mtk5ZvZDd/eBG0gp9ZnZL8zsTVvctz+mlJ54itsGADzZrWZ2jZl9aMsvNAfQy8zsP61xbP+6mV3m7jtsZTsXmNlL3X10898Wzex11jivmJn9xMyqZraHmR1sZieY2cDfiZHH/uZ2X2tmn7HGuWO0NX4au2Yr+/N+MzvVGueZSWa2zsz+q/m1t1jjPDS1eb/eZWY9W9kG/oYwUCPE3Y82s+lm9suU0nwzW2hmb9widnFK6ZaUUtUaQ/dBzb9/mZk9mlI6N6VUTSndZma/NrPXmJmllK5JKd2dUqqnlO6yxoHzhc1/+xozuzSldF1z0D3LzOrb2Meimb3ezD6eUupMKT1qZl+zxjC+2WMppe+nlGrWOADvYmZbu3LwEzN74+ar281tnKceJwDAX/l3M3vfVn7Cd4qZPZRSOq95brjAzO43s5dvuYGU0mNmdps1hlgzsxebWXdK6ebmxZ2TzezfUkqbUkqrzOwbZnb6gE1Ej/3vMLNzUkrzUsPDzdve0jvN7JMppSXNc9NnzOw17l4ys4o1Buk9Ukq1lNL8lNJG+ShhWGOgRtRbzGx2Sml188/n219/7GPFgP/uNrORzf+ebmZHNH/0td7d15vZGWa2s5mZux/h7n9ufkxjgzW+m9+x+W8nmdnizRtNKW2yrV8tsOa/aTGzgQe/x8xs8tb2MaXU3fzPkbaFlNJca1w5f6G7z7LGVY/fb+N2AQDbkFK6x8wuNbOPbfGlSfbk47XZXx+zBzrfGj8tNGtc0Nl8dXq6mZXNbPmAc8z/WOMnopuFjv3WuKq8cJt35i+mm9lvBtzeAjOrWWNIP8/MrjSzX7j7Mnc/x93LgW1iGCs91zuA7Z+7t1vjR2tFd998UGo1s7HufmBK6U6xicVmdm1K6fhtfP18M/uOmZ2cUup192/aXwbq5Wa294B96bDGd/5bs9oaVwamm9l9zb+bZmZLxf5ty0+s8bGPFWZ2UUqp9xluBwD+3n3aGleYvzbg75ZZ43g90DQzu2Ib2/iVmX3N3aeY2avM7Mjm3y82sz4z27H5E9Ici81shkw1cv+YUpqzja9/1sw+2/xl/sut8XGTH2buG7ZjXKFGxKnW+M57H2t8jOMgawy511vjc2bKpWa2V/OXC8vN/x3m7psH5VFmtrY5TB9uT/4oyUVm9jJ3P9rdW8zsc7aN123zR3m/NLMvuPsod59uZh8ws5893TvcdJ41DtpvMrOfPsNtAMDfvZTSw2Z2oTU+e7zZ5dY4N7zR3Uvu/nprnGcu3cY2nrDG57HPNbNFKaUFzb9fbmazrTFsj27+wuAMd3/h1rYj/MAav0R5iDfs0TyXbOl71jjXTDczc/cJ7v7K5n8f6+77Nz+GuNEaF3pqz2BfMIwwUCPiLWZ2bkrp8ZTSis3/s8ZV5TOanxnbppRSpzV+QeR0a1yRWGFmX7bGVW4zs/eY2efcvdMan7X75YB/e6+ZvdcaV7GXW+MXP5Y8xc29zxof1XjEzG5o/rsfPb27+3+3vcQaV1SSNb55AAA8c58zs/9bkzqltMYav2PzQWt8lO8jZvayAR8t3Jrzzewl9pePe2x2pjU+8nefNc4TF1njc9JPS0rpV9b4hfrzzazTzH5rZuO3Ev2WNT4GOLt57rrZGr/4aNb4OONF1himF5jZtfbML+xgmPCU0nO9D8B2y91/ZGbLUkqfeq73BQAAbJ/4DDWwDc3Pvp1mjSWYAAAAtoqPfABb4e6fN7N7zOwrKaVFz/X+AACA7Rcf+QAAAAAycIUaAAAAyDCkn6E+/c1vlpfDX3Hqq+R2anV9Vb1Y0N8rFAIX52uBlW5qaavFfU9ST3/VcPpXenr18pktbeNkplrV68d3dvbLzGNLt9Wf8hdrN+g21c6NOtPbo+97XT/MZmZWLhdlZvSYDpkZOapdZqZN2dovfz/ZuDEyYi0l/XpNdf1abGvTb+lqtSIz9ZrO+NYLK59k/bq1MnPn3Pkyc9bHPyIzs/beXWbMTb8RsV2Ze/135ZG6felDcjv9T+woM7ev0yeFQ//x7TLT0jFKZgbrZ8PF0EtaZ+qBn1anwHs+Be6ZB45lEY88vCCQ0ucDM7NKnz5Prd3QKTOPLH5cZtat1Rmr6WLFvuoGmamnTTLTX++WmVroOQtk/rrt/a8jSZ8P21u2VnL5ZCPb9SIvqzY+KDO//PIlofMGV6gBAACADAzUAAAAQAYGagAAACADAzUAAACQgYEaAAAAyMBADQAAAGRgoAYAAAAyDOk61CmwkHC9NjjrU1pg3edCYGXBwJLXlgJrJtbrei3MZC0ys2jRKpl5ZNFKmVm7vldm1vS3yUx3Ra95HXmZuY2QmUol9tpoadX7VA+sw10s6cy9j+nnY9IY/VjvNn2SzOw4Tq9t++idej3e9Wv1Ppdcv1dHtuvXR2TxzhNPOF5mpkzV64nWA+vBF5xrCMNNbexeMtPfrg/UPWMWy8yE+/S66Recc5bMvPif3iczkyfNkJli4A0UWvfZA49P5zqZKSfdF1Dq0eseFx9/RGYKK5fLTEdnl8xUWnWfgJlZe0kfz/bbRa9l/ryjDpOZhWv18f6uBfNk5v5Fi2QmeZ/M1JI+txYC65R7YKgqBDoX2sv6XLfL6EP1/riePUrjBq+agLMLAAAAkIGBGgAAAMjAQA0AAABkYKAGAAAAMjBQAwAAABkYqAEAAIAMDNQAAABABgZqAAAAIMOQFrvsPHZnmVm1WJeSlALFHX293TKTKrq4o6tXL3jeFrhfLaMCC7nfv0xmHlu6UWbWr5cRK5b1AvW1kl4QvxIoFSi5Lqzp79WlHMVSpETGLNL/UnddUNAXKCLa1N0qM51dOrN0zQaZ2X2yvmNTd54sM6ec8GKZ2XPaBJlpK+vDR0ebvu9jxuhChdYOvfh+CpQTcA1h+Okv7qZDO+4nI20T9etj5+mPy8wL7r1GZub/+Ycys+GoN8vMlPETZWZ04D1WX6fPqx23zZWZ9jk3yow99ICMFAOFaVbQ79WZVX2MjhTKmZlVx4yRmZaN+jjd2qLPU+Om6uP0wUf/g8w88fqTZeb6+66WmQcXXS8zPZWKzKSqfmKr/Xo79Yo+J5TH6Oe1GpjxyjZeZqI4uwAAAAAZGKgBAACADAzUAAAAQAYGagAAACADAzUAAACQgYEaAAAAyMBADQAAAGRgoAYAAAAyDGmxy8nHnyAzf7jqSpmpu148vKNDl5KMHjVaZgqlETLTX9eZ+bc9IjPLVuv71V3R+5za9P701Yo6090lM+3tehH7/p4+mRnV3iEz1Uhji5mlgn5Zd1f0ovC1ui4Tae/QxQvVPn1bG3t0YcCDi3RjT+d6/VjvPG6UzOy/564ys+sUXQ7kNb2wfioFCgNMb8ddF1xg+Ll1/i0y8+AjupDFA+eNthZdQjXW9DHv2CmHyMydDy+QmXG7bJKZiYsflpnSpb+XmfLyVTJTqOr3qtX0cTqV9WNYb9XvZw+UObk+jJuZWTFwToiUxBQDxSWl+x+SGV/woMzsstNOMvOql50iMw8c+/9k5g+zz5OZdf2dMlPr65GZ/WZMlZl6Qb83Fq8JlMgM4nVlrlADAAAAGRioAQAAgAwM1AAAAEAGBmoAAAAgAwM1AAAAkIGBGgAAAMjAQA0AAABkYKAGAAAAMgxpsctJLz9eZl7ysuP0hgp6pfbeQAnIqif0AuNXXq1LBS79060ys65bFwb0VnXhRrWmF7tPgae10qcfn45WvZ1q9zqZOXCfPWVmpwnjZOauu++WGTOz1Wt0IU1baaTMeFmX6GzaqBeXLxZ1iUGppIttKoHChFVrZMSu/NN9MtPbU5WZ01/zYpmZNnmMzNTrevH9Qn1wvvcv6T4jbGdWLF0uM719utCoYLrYpa+nV28n6e3Yqidk5CWnv1JmWi/+lcy0zb1ZZgq9+lwXKb5JSb8PPXB+ToG2Fa8GSluK+rwaKWMxMyuGHiN9APFaoPwmIvAyK3Xp80/LuefKzP77zpKZHU4/U2auul0X2G1Yr2eG0aN1Od39j+n3WG/gqRg9Rs9dUVyhBgAAADIwUAMAAAAZGKgBAACADAzUAAAAQAYGagAAACADAzUAAACQgYEaAAAAyMBADQAAAGQY0mKX/opehDwV9YxfCywu313VC8f/6aZ7ZOaKa++QmbXderH3Dd36oU7eJjP9FX2/yiX9+LS26rKRYl0XpOw6dQeZ2WOaLlEp+EaZef4hk2TGzOzOOx+WmaUr1ut9Svr5aDX9ONZMFxTU64Ht1PQC9O7tMrN2k77v185bJDPjdr5dZk495fkyM36kLisqBooganWdwfBTCFz26QicyUa16eN0cl0CMmWHnWRm4gH7yczIL54tM6UVutTGIi/7sn6P1eu6ScQDzUj94ybq2zrwUJ2ZvrvM2DhdvpVS7LjggcKRwqP6uFi8XRe9ldcGntdAQU6xoptL6oHnvmXh4zIz+X/+R2ZO+7cPycwPf3+NzPT16YKljg59fi4W+2VmTOsgFfEYV6gBAACALAzUAAAAQAYGagAAACADAzUAAACQgYEaAAAAyMBADQAAAGRgoAYAAAAyMFADAAAAGYa02KXcqg1F0I4AACAASURBVBeF76nphfV7K3qx7lvv0guwX33TAplZ2akXV++udsiMl8fITL2uFyovlfX3QEXXmXpVL5w+ZqS+73tNHy8zI8u60KdU0hkz/dowMztgb10sUPYNMrN0WafMtLguW6kEyhCqVX3fUk2XthRbAgUOgbf92h5d8vDHG3Ux0sgd9D6feNRBMtO/QT9fjz++WGaOOvJwmcH2ZWRb4HjWp49VXT26qGpk4Dh07P4vkpkRZ39KZsqr18pMvaVFZryujx3VsTvKTG2CLqypvOb1MpP231dm6sVAyU6g2MT1YcosRUJmof6XwLaK9XfITOUWXRhXvugCmWl5XJeYuetisRRoB2pZsVJmRp+jy4rO/PBZMnP1jdfq/ano98+0ncfJzKjRunguiivUAAAAQAYGagAAACADAzUAAACQgYEaAAAAyMBADQAAAGRgoAYAAAAyMFADAAAAGRioAQAAgAxDWuxSc714eKGoiynWrV0jM1ffMF9mlq6rykxPTS/6XakHCjfKugCkr0uXrbSW9WOYki4nGNGmF6jfe8+dZWbCOP0SKhZ0QUrRdelCIbDQv5nZhLG6IKdl36kyU+tfITPL1+j7Zknvjxf149if9Pe/3f36ea3XdalCraBf04+v0s/ZzbfpgqW1S5bJzPKFuoTJXRdcUOwy/FSqFZnpqayTmVrXEpk56eVnysyY//6WzLSu1CUYVoqUtgTez20jZKZyyqt05hUvlZlU0McOM73PsT6WwHYCGQ+eN0I7FVAr6turHXWIzFQPO0BnfvlbmWm99CKZ8RZ9bvFN3TJTXq9nj3EX/lxmnve6M2Rm7vWzZaa1Q89dG/rKMhPFFWoAAAAgAwM1AAAAkIGBGgAAAMjAQA0AAABkYKAGAAAAMjBQAwAAABkYqAEAAIAMDNQAAABAhiEtdqknvYB2X1XP+LfMf0BmHnh4lcx09erikorpxfcrpu9Xpa8mM+WyXjQ/VTfITGtLn8zsO3OazEzaWb88ykW92Hu93iMzbS36tnp79f1q3KDOjR2jF3w/+JAp+qbuWCgzKwPlL4Wifu77A80D9aIuZPHAY10p6IKlDZv0e2PBQ/r1OrFtJ5kZN15n3HUBCIafSnWxzIw2XSgxZdrBMrPr/frc0n7XXTJTb9XvQzNdRFRv0e/D/n/9iMxUDz9MZpIFC1AkvR0PHMsCPXBWDxS7xAtbAvsdKrYZHNXAOaH+xtfoDU3aRUaKPz9XZsrten+K/frc236PLuna9aD7ZGb5jL1lJvXocrbxY/V7LIor1AAAAEAGBmoAAAAgAwM1AAAAkIGBGgAAAMjAQA0AAABkYKAGAAAAMjBQAwAAABkYqAEAAIAMQ1rskkwvDL4qUIJxx52LZGbder1ofm9N3/1qXS/6nVJgAfaa3p+WUlVmvKALDPbZa6LMTJ2sy2jKZX1btaoubfGkS20qvYFF9QPFQGZmlb5+mSm6fp2NGq3LGQ46cKrMLLhvrcw8vlLvT7GoH8daUbcY6K2YVQNtCMU0UmbWrNW3tm6dLmTZY9JYmenapB9nDD8r198uM+PG6mPDUS84U2ZaPvEJvUNFfd4oJH28r7Xq90/f298jM/2HHy4zkZKUWANK4BpcpGwloBY4ZxYDz8XTaHbRWwpsykMPtt5QIVAikwLb6X/R0TLTsj5QGPe7C2XGyrrsywv6NVS+YrbM7P+JT8rMrfOXy8ziZU/ITBRXqAEAAIAMDNQAAABABgZqAAAAIAMDNQAAAJCBgRoAAADIwEANAAAAZGCgBgAAADIwUAMAAAAZhrjYRS94/sCDS2Rm4aKVMlO3ETqT9CLktbr+niMlnSkV9ALsqd4rMzOm7Sgz06eMkZkRrbqQxeo6s2TZ4zIzbZIuP6lU9OPjhdjL9dHHdPHPxKmTZGbkOH1bY8bq19n+s3aVmUrS+/zgijWB7ejXUL2oy4pqFf2abrM2menv1cUuq1Z1ycyMXcbLTF+/LojB8DNunH5Nj2udKTMjbr9TZkr9+rZSSRduWFEXzVQPPERmase9RGYGq0jEAudnj2wnsDuRgpRCIdRGI3kKbifyOHrk/utCmtCDFHo+tBTY5+rLT5aZ/gULZKa8UGespgvsyp169hhx2y0ys8vk3WTm1rsD+xzEFWoAAAAgAwM1AAAAkIGBGgAAAMjAQA0AAABkYKAGAAAAMjBQAwAAABkYqAEAAIAMDNQAAABAhiEtdumt9MvMA4sWy8zqLr2wfm8aKTMV19tJpjPFwDrurdYnM+NH6RKMvXYfJTMdrd0yUyrpxd4XPapLDh5d1Ckzk3fSy8+XAivUF8v6OTUzW7xaPyHLNm2Qmd33Giszkye2y0zHaF04stMuugji0dV6sft6IVAoYbrYpR4oQ0iBdoYUeI8tXrVeZvbtnyAzHqo5wHCzbJl+Px97ki5AaTn3QpkpVHTphFX1cbpe0u/D/tPPkJlIKUfsVR8pLQlsJtLIEhDqUPHBud4X7nUJZQLHxdCNDU5pS+jGAplaoKyo72Uvk5niD/4/e3ceZllZn3v/96y1h5qrq6oHuqGBpoEGUUQQUBAFZ0mMnlyOUXOcPVHzvjF6NJMajVNM1JcMHnMSjYpDRA1inDU4ICIoCEIzydwDPVXXXLWHtdZz/qgip+UF7x95+pQU5/u5rlwRuHvttddee63f3l313LroLWvp+2HM9P7Ur/y5zKw5+aUys2mXLlXz4htqAAAAIAEDNQAAAJCAgRoAAABIwEANAAAAJGCgBgAAABIwUAMAAAAJGKgBAACABAzUAAAAQIJlLXaZntMlILdv3ykzc90+mWnbkMzo5cXNcsdnjppjsftapUtt1o7oMoCxIf2S1er6md29a1xmfr5Vl5+ULV1sUnT1MWw09D6Xpo+PmVk3G5OZnXt0gUM3OIpUurMys26No9imR5dXFF29P7WGLqOJlV40vxb0sc5d5Qz6ec0Wen/mS11GM9jU1wWsPLtv0+/Vo/sPkZnmXXfITCz1+Rpq+nrWfdiJMlNs2qQfy9OAcrA4CkA8ZSvRsaFYOQprDlKzibsgxlVac5CKbbxtM3pLMuF5WpXp8z6ecIzMFGOHykzPvl36sYKec/IpXWDXW+jjc+UNu2XmxTKxiG+oAQAAgAQM1AAAAEACBmoAAAAgAQM1AAAAkICBGgAAAEjAQA0AAAAkYKAGAAAAEjBQAwAAAAmWtdhlalovxL1/XBdlVEWPfrBMP7UQdWFA8Cx4rvfGKsfi8vMLpd5O1OUV4/vnZOba63SBTrs7KjM9NV0AkgVdypE51rkvHWUAZmZW6WPdbutt7do9KTNFS5ff5JljsfuetTJTq90tMy1HiY4+o83qNV224nnNqkqf0wsLuvRoakJfO/qHlrEEA8tmo6MsorZ7j8xknbZ+sKa+t1SZfo+VpzxaZtyFI0J0vKODowDEk6kcLSGed+HBeu4eMXqueL5cnunroucIeI51dBXNaMFxoc6Cfl6lp9TnhON05rIJmQkNPTPkdZ3p3bdPZnxnrA/fUAMAAAAJGKgBAACABAzUAAAAQAIGagAAACABAzUAAACQgIEaAAAASMBADQAAACRgoAYAAAASLGuxy8xUS2YW5vRi5nnWLzNloT8rhNyzSL1ncXXPIu164fRoDZmZa+nMNT/fJTP7J/V22o4CnazelZlORx+foV5dEFM6Fp83M8uC3lYIep+KUj/e+OSCzFy7VZforF1/pMzU8mGZKVuORfzr+vh4OgWi473hOc7B8Xq1W/qxsmF9TmPl2Xj4MTKT3XqT3pCjuCObnpGZMDQgM8WW42XGUzfiq5xw3H9cW3G8xxwbqhzHOTjKcTzXIN/92ScLehyKnmPtedE8u+1qztIbKktdrlXL9b2ucux0efgRMhOuvlZnckcxn6N8LJ+clpmRVSMy48U31AAAAEACBmoAAAAgAQM1AAAAkICBGgAAAEjAQA0AAAAkYKAGAAAAEjBQAwAAAAkYqAEAAIAEy1rsMjeni11mpnXGKkdxR9RPLTP9WMG1/L6jKMP0IuSdUu/z1pt0acuucU/RzDqZKW3QsZ1ZmWm19cLyRVcf51jzLeLvKQQoK/1Zsgq6KKSq9LHesWtOZqbm9zkeq09m1oyNyszMnC6jKUtd2FMF/ZrlNX2ca7WmzHjOj6r01WBgZVm/boPMZDv2ykzodvSDOcoiQlu/N+KQLmFydB6Zr9rlYDWJ6Ex0FLI4LgsWHRdpTymUo0PGVSKztDW9Lc/NxfN6+F78g7KdzFHa4pEFRxnPqiG9IUexmNX0vTf06Pth7ngtssbBOT5mfEMNAAAAJGGgBgAAABIwUAMAAAAJGKgBAACABAzUAAAAQAIGagAAACABAzUAAACQgIEaAAAASLCsxS6eBc97e3tlZqqtHyk6VnzPHR8nQtALuff26WKKhel5mdk3qQs39k46CjdMlwqUsV9nrEdmOpUux4mO0yzP9PPqVjpjZjY8NKAfb7+j3CTTzz8G/drnNb0A/ULHUTTjKKPp7dGva2tBH8fgKDnwFLtER6aqHI/lKFSoNxyFAVhxYnaQSjAc55nlB+e8D7ljnz0lIY4yjYNW2uLYirmKzjRfr4mjaMX1laDvmXnmE++W5CMdpA25CnIc7x/PNdhTkBNqjtI9R7FLaOo5MPboe2/o17PAmoE1MuPFN9QAAABAAgZqAAAAIAEDNQAAAJCAgRoAAABIwEANAAAAJGCgBgAAABIwUAMAAAAJGKgBAACABAzUAAAAQIJlbUrMHS1U0ToyU5S6dTBk+qlljromTztQdLRHZTW9ncLRHlU5XrLSdINQabqJqDLdaFRE/bzKytGoF3V7XxZ8p2sWSv14ju2UluuMq6SskJFmvSEzVVsfo/G9e/XuONq1Ssc5XTnqvjxlcHXHq9Fs6tei09HXBaw8m499lMzEvT+UmeC53juKADNP4+LsjGN/9DldOe4Jy9q652gT7Czo9tx609Fq6rmHexogfXWKB4/j9XDcNn0857Rnf6K+Z3qeV9bSr72rTbGpW4pDn24grq1eJzPdcf1e9eIbagAAACABAzUAAACQgIEaAAAASMBADQAAACRgoAYAAAASMFADAAAACRioAQAAgAQM1AAAAECCZS126e3TD9fsdaweHhZkJMt0cUm30IUbWekolCj0Yual6YXTs6hbBbqOhdwLx0L2paNUwBzFJoWj5KBT6rKeKuqMZ6F/M7OQOYpdHKvde/obqszRvOD52Frp5+8pMTBznNOO8yOL+nlFxxNzbMYqR4lM/4Cj+CZO6AfDinPbtrtl5thDDpGZqqavZ673WKXfY/ldd+nNHHeC3h/X+9BTsOQobXHcW8xR7FLv0aUc0XEMXaUtnuaog/i1oaskxRdK35nFDemI46HKri4Nqzf1gQx7Dk6xWGjqcrpsaFBmqtWjMrPt69tlxotvqAEAAIAEDNQAAABAAgZqAAAAIAEDNQAAAJCAgRoAAABIwEANAAAAJGCgBgAAABIwUAMAAAAJlrXYpdmj5/fePr34fjRdpBI9RSGexdUd66YXhV4U3dGlYWXQhSSl4zNQ6XhaXcdq755PW91Kl3KUnmKXqi0zoabLPczMQqb3KQbHfjsWoI+OFzZkejtFoV/7huN1DZ4T1lOG4HhvVI7inxj18Wk09WVocFiXRbSn5mUGK88t11wnM91znyQzsanLvmLXURpW6fO+dvUVMtN9ytNkxnOLDo5reXSUhrmKXRzXu+joDMsy37VcPparIMa5Ldc44Cn+0cfaU7bi6YfxbMd1BDz9MI6ms/qttzk25Jg9PE/eUdTU6dEFMbM3/lQ/lhPfUAMAAAAJGKgBAACABAzUAAAAQAIGagAAACABAzUAAACQgIEaAAAASMBADQAAACRgoAYAAAASLGuxy66dd8nMQJ9e8L0spmUm5p7F1XVZRMwcBReOIpHMU+zi+HwTXRldEmKZp8BAL67uODzW6vTLTOlY7L2eO8p6zKyZ6Vy91IvCt02fi5619/OqLjPB0SpQRl1iMFvogpw80889BL3P3a7en95cl2kMBF2MNOAox5lxvKZYeULU17MJR4FD/8CgzPTu1eVAjq4iy3+iyyLyqSmZKYdH9YO5WkI8942D8kgWHPeo4CjW8uxPVnOMMI5SGzNvQY7j4Rw3Rc/13nVzdRXP6et0raHfP/nuPTqzfbvMZHV9Xw0dvc9Vr57fZrftkJnfHRqWGS++oQYAAAASMFADAAAACRioAQAAgAQM1AAAAEACBmoAAAAgAQM1AAAAkICBGgAAAEjAQA0AAAAkWNZil5uuv15m1o2tk5meul58f8Gx+n7bkYmOldNj0Jmq0ovLV8HzcjgWjQ+6CKEW9DHMc10SUjNdptHqDshMrOkikay2V2bMzHpq+lg3Sr24fG56n8z0Y9VLx/nheKTCUX5TORqEKkfxT2Z6Yf26o0clr3SB0MZRXf5yxBq9+P6Rp/6W3iGsOFuvvk5mTnrE0TKz4YzHy0z80gUyEzzv+Wld2tL518/ITPHy1+r9cZSEeApZPDwlOx6uEhnH9c7VtOLZzmLQsSnPsfaUynmOgINjfzLHPcFziOoX/ZvM1GZ16Z7162t51dKzx/xGPSsO/9tXZWb17VfIjBffUAMAAAAJGKgBAACABAzUAAAAQAIGagAAACABAzUAAACQgIEaAAAASMBADQAAACRgoAYAAAASLGuxS0+zR2aajl0aGeqTmYWJrt6hoAslXAvHOxbWj57PLqVeEN63IL7ejmfx+dyz+LzjsTw7HTLHMYye+hOzWs2zQL/jGDkKcsyVcZyLjnPIHEUzoXIU5OSOsqJSF/80Gno7eTUrM4duWCMzl132XZm55pqmzJx++htkBg8ucwtzMnPFjy+XmVOf/yKZaX7tIpmptfT+WEMXR/U6ijKqM86WmWLLw/T+OC7CwXGP8hSducpGPDcyz63XsRm/g7U1z/eUntfDcU/03DYcmfxHP5KZ5s+u1Btq6tnMOi0ZKaqOzEyvGpKZye98R2ZGm7qMZrVMLOIbagAAACABAzUAAACQgIEaAAAASMBADQAAACRgoAYAAAASMFADAAAACRioAQAAgAQM1AAAAECCZS12mZtzlEX0jMnMUYevk5k9E/tlJnOUtlSu0hbP6uqORfMd++NZEN9T2mKeTK2QkdJxfIpKF5tUjtKW0lnsktcdxzp3bCvo5x9DW2eio/yl0kUQFnUmVLnMNHTEQq73ORTjMnPoel2eNDykX4u9EzMys3PHNpnByrPx8PUyM7hqWGZ+uu0umTnrac+Umf5vf1lmLNNvstDR146+971TZubf/VcyU2zYKDOx0tc7z/PylKEFR/lLWTnuh45CMK+q8pR96XuLp5DFU35zsJ5Zz213ykz/p/5FZrLCcR9veOYlrXPisTJzzc23ykw+o4vFar2O896Jb6gBAACABAzUAAAAQAIGagAAACABAzUAAACQgIEaAAAASMBADQAAACRgoAYAAAASMFADAAAACZa12KXo6gW0a3W92P2aEb2I/9iQXoC+Na0fqzC9negpbfFkHAvZR0chy8Eqf6kcC/0XpV7IvVPo7XQd3Sch9ywJbxZyR6lC5ikxcBS7WEdmKkfRgVV1vTuV5xzS5S9FuyUzzVy/N/qbOnPUxtUyMzWhiwdipYtdsky/Flh5Nh23RWaKtn7t77hrh8yc+FvPlpnGlZfJTD43LTNW17ff2t7dMtP3l++Wmbnff4PMdDYeKTNZ01Hs4uC5kgdHqioc98Oab8zJMs/3i47ikoPWNaM31Lj6apnpO/8zMpN19D3BSkfZV0sXqRRjgzKz43j9nr/1G9+SmS1bjtH7s0u/n734hhoAAABIwEANAAAAJGCgBgAAABIwUAMAAAAJGKgBAACABAzUAAAAQAIGagAAACABAzUAAACQYFmLXXp7e2Wm3V2Qmb56v8wcc/iYzExev1dm5rv6M0eeO55X6VgQ/yAtCB8cGwrRU0ajt5M3dJFIp6sX34+mt2NBl5+YmeU1nWsXeiH7qqEXsi9iV2ZqjpX+6zX9ehSVPo55rve5HnQmtqdk5pgt+j02Mqj3efft22WmZvq6kNd8xT9YWUZHRmXG08mROYpCrrnlRpk54w//SGZ6P/B+mWlO7JGZKuj7Rv2uu/T+/MXbZSb89nNlxp78VBkp+3VxR/SUXQXHDdHxuleVozXMzILj8Vy75Hlq4+My0/jXL8hM36U/0o9V6h1ynGYWHO1rnf4emZl60fNl5rLLfyozeV3PDDuOPVpmDt92lcx48Q01AAAAkICBGgAAAEjAQA0AAAAkYKAGAAAAEjBQAwAAAAkYqAEAAIAEDNQAAABAAgZqAAAAIMGyFrsMDw7LzP4pXbhx281bZWbjEafIzPi6pszcfKdefL9jesHzPNNlNL7iEv2ShajLNDJH2YgF/Vjdrl40vij0qvFZ3iczMTrKX8ysrPTnxJDr5+Y6RMHTLKCff7fUBTEhc+xQ1O+fPMzLzIbD9Otx2DqdGd9xk8wszE7IjFV6n4eG9PUFK8/uvbtlpj2vz/vg+P5o2513y0xni36sJ7z5bXp/3vVWmemZ3CczsShkpuG4J+Sf/KjMlF+8QGaK007XmVNO1Y+18XCZCY73vKMPy8zMsqn9MpPffofMNK7UpSS1q6/WGcfrapm+t5SZZ2bQ741ycEBmZl/1Gpm5eOvNMjO5V89djaae39b36nvU/PhBatQzvqEGAAAAkjBQAwAAAAkYqAEAAIAEDNQAAABAAgZqAAAAIAEDNQAAAJCAgRoAAABIwEANAAAAJFjWYpdjj90iM1/84pdkpubY7bzQZRGPPHpMZtqtKZm5Y3xWZkpHaUu78iwwrhdyr6IuW8l1xCzT+xxN73MZ9XaqSmdCrUdmzMxqud5WraaLVMpKH6RQ0+di5Tlfc30ca6EtM2VnWm+nviAzW47ZLDM7t/1cZqb23CYzvQ39vDLTr9f0hKMgBitOf0+vzIwMrZKZqtQNH8FxCd49PikzVwzukpnT/kgXu4QPvFdmGpPjMhML/dxjpouzmlP6udcvvlhmqu9fKjOh0u/5ylFs4uneMjMrmroEpNZ1lKZ15mQmBL3fLjVd/pJ3OjLTWaNnoZn/9w0y8/WfXyszO+7cJjPNpj4Xux393H9R18f5E01duvdEmVjEN9QAAABAAgZqAAAAIAEDNQAAAJCAgRoAAABIwEANAAAAJGCgBgAAABIwUAMAAAAJGKgBAACABMta7PI/PvIRmVk1NCwzmzcdJzP1oBdg73ZnZOZRxx0qM+WtemH9m3bPy0ytoYtLSnMUoHhKWxzlL2WhCzeauS5daC2UMnP3Dn0MLeiyBDOz8Ul9HKuqKTMxOj5vBk9piz5GVumylW6pSxXGRvVDPe7RJ8jMlsOGZOb2Sr9XOxP6GNYzfQzLUi/Q327pAgOsPD2OYhdPwVTNUaYRHfeN4HisPXt3y8ytq3UZzaHv+SuZGbzg8zLTc9n3ZSbrtmSmKvS1POvqwo2Q6cc6WK+pZZ7CNLPoKPLKu7psJlSOEh3PTdpx+ylyXYDSfuKTZGb62c+Wmdt37dGZW26VGXOU8dQqfZ5VhT6Gsatf+5lHPVpmvPiGGgAAAEjAQA0AAAAkYKAGAAAAEjBQAwAAAAkYqAEAAIAEDNQAAABAAgZqAAAAIAEDNQAAAJBgWYtdDttwmMysGhqUmYW5aZmZ60zJTNHWC7CXNV1wcbKj/CXU9snMHbsnZKbV7ZMZi44iBEdRRnCcHjHohdN37deFJLNX62KXsvIVu1imCxPaYa3M5I5CgLLUC/3njsKAZl2Xkqxep1/7Yzfp909e6QX652d06VFe6eKfk098hMxc8/MrZKZ0HMOy9DQaYaWpHAUfnuqOKjpKWxynUOkoxerr09fgrVtvkpmbsl/IzHFPe6rMHPmMc2Wm59vflJn6D/5dZ9q6tCVUjtfUcW/xFKRkzutCraXLtWKmv4MMjky3V5ePFWc8TmbmnvJ0mfnB1utlZurvPygzW579XJlxdLZYPdfHx/OKVZ4CHcd7tTar73VefEMNAAAAJGCgBgAAABIwUAMAAAAJGKgBAACABAzUAAAAQAIGagAAACABAzUAAACQgIEaAAAASLCsxS71oB9u/979MtPp6hKMLOpF4eumVyHvVnp/QksXZZy++QiZOWJElwHcdIsutZmc1MenqHRhTdtxdlSZXsQ/79Of2xai3p/K6nqHzCxa6cjMykxe6u00g15cft3QgMwceojOHHZoU2bmp26XmabjdR1qrpOZnQv6vdE/ulFmHu4of9l+950yc9edd8gMVp6ao7ZlbM2YzOwb18VZlaMIou4ofJqZdZSbOIpL9NXF7IbrdHHHLY4yjY2PO0Nm1j/r2TIzsnOnzNRuv0Nm9txxq8w0HM9rpKULqMzMshFdCFZt0CVuxeajZWZXU1/Lt+3T19eL/vbDMhOn9cxwQn8hM9tv1iVDVjrO6dxR2+Io8vK8V6OjzKnR1oU+XnxDDQAAACRgoAYAAAASMFADAAAACRioAQAAgAQM1AAAAEACBmoAAAAgAQM1AAAAkICBGgAAAEiwrMUunY4uHGm19YL47bZeqD03vej3fKG3U2/qMpF61NvptvV21oyskZmhR66VmZlZXRCzY6cuNmk7FlfPcr2Qe6b7c6ze0Avd1xs9ekNmVq/rz4lZTT+34KhVyBwfSYcGdGlLo6HfG+3WDpmp1/TrOj07JTM337pL7081r7dz5w0y43ir2qpVunRhcODhekNYcY457iiZ2b5Dn6/BUcjSCI5rhyMzODwsM9FR7FI4SicW5nWm1dUlVTfdqIs7tnZ1iUzmeEOPrT9EZuyIJ8tIraZvLj3BcYExs9xRFDI1MSkz3auukJmdV16p9+e442XGU24SehsyM9fW943OHbo0rNYc1PujT3uLnpuCo/DJo+uYS734hhoAqL+wMgAAIABJREFUAABIwEANAAAAJGCgBgAAABIwUAMAAAAJGKgBAACABAzUAAAAQAIGagAAACABAzUAAACQIETHwuAAAAAA7hvfUAMAAAAJGKgBAACABAzUAAAAQAIGagAAACABAzUAAACQgIEaAAAASMBADQAAACRgoAYAAAASMFADAAAACRioAQAAgAQM1AAAAEACBmoAAAAgAQM1AAAAkICBGgAAAEjAQA0AAAAkYKAGAAAAEjBQAwAAAAkYqAEAAIAEDNQAAABAAgZqAAAAIAEDNQAAAJCAgRoAAABIwEANAAAAJGCgBgAAABIwUAMAAAAJGKgBAACABAzUAAAAQAIGagAAACABAzUeNEIIW0MIZzuzd4QQnvx/eJd+1eP/eQjhU87suhDCD0IIMyGED/yf3jcA+L9ZCOF7IYRX/pr34fAQwmwIIf917geWDwP1Q1wI4QUhhMtDCHMhhD1L//u1IYRwEB/jyBBCDCHUUrYTYzwhxvi9g7A/Z4cQtqdu5yB6tZntM7OhGOMbH8gwDgAPBstxL1nJ7v0lT4zxrhjjQIyx/HXuF5YPA/VDWAjhjWZ2npn9lZkdYmbrzOy/mdmZZtZY5n1JGrZ/nQ7Cvh9hZtfHGOPB2B8AWE7cSwCNgfohKoQwbGbvNLPXxhi/EGOciYt+FmN8UYyxfU8uhPDJEMLeEMKdIYQ/CyHc53kRQjgthPDTEMJ0CGF3COGDS//pB0v/f3Lpr7geG0J4aQjh0hDCh0II+83sz0MIm0MIF4cQxkMI+0IInw4hrDpg+//xCT+E0BtC+EQIYSKEcEMI4c338a3zSSGEn4cQpkIInwsh9IQQ+s3s62a2YWlfZkMIG+7r+Nzf876vfXcc78eEEH4UQpgMIVxzz4+uhBA+bmb/1czevLQvv2lmf2Jmz1/652vUtgHg1+UB3EuaIYS/DiHctXR/+EgIoXfpv50dQtgeQnjj0rfbd4cQXnbAY3j+7FtCCLvM7J9DCCMhhK8sXb8nlv73Yc7nk4cQ/iSEcGtY/DG8K0MIG5f+23khhG1L97grQwhnHfDnPh5CeNcB//wffxMaQjjfzA43s39buq6/Odzrb25DCBtCCF8OIewPIdwSQnjVAdv68xDCBUv3pJmw+OOPj/5PvmT4NWGgfuh6rJk1zewikftbMxs2s6PM7Alm9rtm9rL7yZ5nZufFGIfMbLOZXbD07x+/9P9XLf0V12VL/3y6md1mZmvN7N1mFszsvWa2wcyON7ONdv/D6tvN7Mil/XqKmb34PjLPM7Onm9kmMzvRzF4aY5wzs2eY2c6lfRmIMe78Tzzve+/7/QohHGpmXzWzd5nZqJm9ycy+GEJYE2N8qZl92szev7QvXzGz95jZ55b++ZG/atsA8GvmvZf8pZkda2YnmdnRZnaomb3tgP9+iC1ecw81s1eY2d+HEEYewJ8dtcW/7Xu1Lc4u/7z0z4eb2YKZ/Z3z+fyhmb3QzM41syEze7mZzS/9t58s7cOomX3GzD4fQuhRG4wxvsTM7jKzZy5d199/H7HPmtl2W7z/PcfM3hNCeNIB//23zOxfzGyVmX35ATwfPEgwUD90rTazfTHG4p5/ccA3qAshhMeHxV+WeL6Z/fHStw53mNkHzOwl97PNrpkdHUJYHWOcjTH+WOzDzhjj38YYixjjQozxlhjjt2OM7RjjXjP7oC0Os/fleWb2nhjjRIxxu5n9zX1k/ibGuDPGuN/M/s0WL4SS83n/0r6LTb7YzL4WY/xajLGKMX7bzH5qixdsAFjJPPeSYGavMrM3xBj3xxhnbPGLgxccsJ2umb0zxtiNMX7NzGbNbIvzz1Zm9vale8dCjHE8xvjFGOP8Uv7ddv/3knt7pZn9WYzxpqVv2q+JMY6bmcUYP7W07SLG+AFb/CCx5QEfsXtZ+gb8cWb2lhhjK8Z4tZn9k/3yPeeHS/eQ0szONzO+bFlh+Fmkh65xM1sdQqjdcyGMMZ5hZrb011SZLV4oG2Z25wF/7k5b/HbgvrzCFv/q78YQwu1m9o6lb1zvz7YD/yGEsNYWB+OzzGxwaR8m7ufPbrjXn992H5ldB/zv+aU/4+F53vf1ePfnCDN7bgjhmQf8u7qZffcBbAMAHow895I1ZtZnZleG//07isHMDlzhYvzAodwWr9kDzj+7N8bY+o//GEKfmX3IFv+G8p5vuQdDCLnjlwA3mtmt9/UfwuLPir/SFu8l0Ra/wV4ttuexwczu+bBwjzvN7MAf67j3/aznwGOOBz++oX7ouszM2mb2rF+R2WeL3xocccC/O9zMdtxXOMb4ixjjC23xxyD+0sy+sPQzy/f3y3b3/vfvXfp3Jy792MiLbfHCeV/uNrMDfyZu4694Hupx783zvB/ILxBuM7PzY4yrDvi//hjj+/6T+wcADxbee8mCmZ1wwDVwOMY44Ni+58/e+5r5Rlv85vj0pXvJPT926FlxZJst/sjiL1n6eem32OLfjo7EGFeZ2dQB25yzxcH/HofcaxO/6rq+08xGQwiDB/y7+73XYmVioH6IijFOmtk7zOzDIYTnhBAGQghZCOEkM+tfypS2+HPQ7w4hDIYQjrDFny+7zyXdQggvXvq54MrMJpf+dWlme23xr+SOErs1aIt/zTe59HPH//1XZC8wsz9e+uWTQ83s9Y6nfY/dZja29Ms0/z8P9Hk7fMrMnhlCeNrSL7z0LP3Cyv39ksxuMzsy3M8vfwLAg4XzXlKZ2T+a2YeW/ibSQgiHhhCe5tj+f+bPDtriED4ZQhi1xd+58fonM/uLEMIxYdGJIYSxpW0Wtng/q4UQ3maL31Df42ozOzeEMBpCOMTM/uBe291t93MPjDFuM7Mfmdl7l+4PJ9ri3/h++gHsNx7kuKE/hC39YsQfmtmbzWyPLb7h/8EWP4X/aCn2+7b4yfs2M/uhLf4ixsfuZ5NPN7OtIYRZW/wFxRcs/TzYvC3+DNulSz9X95j7+fPvMLOTbfFT/1fN7F9/xe6/0xZ/geN2M/uOmX3BFr8lkWKMN9riL4DctrQ/9/WjIA/keavH22aL3978iS1ejLfZ4oeF+3t/fX7p/4+HEK76zzwmACwX573kLWZ2i5n9OIQwbYvXbe/PHz/QP/v/mVmvLX67/WMz+8YDeDoftMUvVL5lZtNm9tGlbX3TFleIutkWfxyjZb/8o3/nm9k1ZnbH0p/93L22+14z+7Ole86b7uNxX2iLv2i/08wutMWfCf/2A9hvPMiFyNK4WAFCCL9niwO89xdPAAAAlgXfUONBKYSwPoRw5tJfLW6xxZ+Zu/DXvV8AAAD3xiofeLBq2OJfKW6yxZ/X/hcz+/CvdY8AAADuAz/yAQAAACTgRz4AAACABMv6Ix+POnOL/Dp8bnZeRazs6HXOV6+5zxXTfsnO7VMyszCnF5aoHN/yZyGXmbKt1qM3W7NuTGae+vRnyMxjz/kNmcmGjpCZiaJPZnbta8nM3tlKZmLpWWLUrL9Pb2vdYFNmjt3QKzOHr9av2fU/+YHMfOfrn5eZrbdfLzP79t1fT87/1prV52vZ0c+rU3RkJkb9mkX9cplF/dm/KvWGZmdnfScRHjT+6u8/Lk/YyblJFbGbf3GtzPRFfb1v9OullWtB31qzpt5OX1+/zEyO75SZPJft2Xb33l0ykzv+QrtT6WvHujF9H8tr+q164gmnycyu3XfLjJnZjbfeIDOh0teYvr5BnenRr+u2nbfLzMzMnMzUm3p/RoaHZMYcc05Z6PdPb6++r44N6/NjbmFWZvZP6+tCDPo8+9L5n3LdN/iGGgAAAEjAQA0AAAAkYKAGAAAAEjBQAwAAAAkYqAEAAIAEDNQAAABAAgZqAAAAIAEDNQAAAJBgWYtd+sd0ucnw6lGZKRyFEjVHkUpjUD/9he6CzGR6HXvbdLguSXnzW/5UZlZtPkNmvnGTXuz9H36hy3EWoi7H6ZaOlf5jQ0Zqlf5s160cj2Vm5igEsI5egH7t9fo4zs6Oy8yJm0+Xmee+/hyZedHsdTLzob/+C5m59IqfyUyn1ZWZ4Pg8XhSO0qNcv15ZprcTHcUDWHk6lS5wKLr6fD1688NkZn5Gv5+7C/tlpiz0/vTV9flaD/rm0nLco1YPrJIZczxWf7++J7Qm9DGcmJyWmWc/8bdkxt7xJRnZ+Jyz9HbMbFtTzx479+yQmcJxv9s3qQtHarm+vq5yFLIMDemSlP5+Xf4SSn2e1aMuTGsV+npfVnrGa9TrMjM4pI/PzOyMzHjxDTUAAACQgIEaAAAASMBADQAAACRgoAYAAAASMFADAAAACRioAQAAgAQM1AAAAEACBmoAAAAgwbIWu9xxw16ZGR7WC4wPr+qVmeaqHp3pmZeZeqYXD3/da18nM2c/8zUy8+kf68Xur7pFFwZ0836ZiZ6PUo6ylRgqmXHUrFjpKWPJfJ//Qqa31ejqYpc/+M0RmfnqJXqx+8u26XPo0lv0dh4+tlZm/uSv/1Vmfvr1f5SZP3/ne2SmU+njHII+X6OjsCcapS3/t3rYsSfIzIVf+6LMjAzp93MW9C3RcXmxRk+fzLRa+v7TqOmijG6hS7pmZnU5judet250jcyUlS6IGXQUxKy65A6Zmdy2U2am/umrMmNm9vTzXiEzF13yZZlZvUo/t7mWPs+mZ/U84ClN6+3VmaE+PVP15Ho7CwuOmcqxz3MdXaqWBz0PzMzoY7hnz5TMePENNQAAAJCAgRoAAABIwEANAAAAJGCgBgAAABIwUAMAAAAJGKgBAACABAzUAAAAQAIGagAAACDBsha7ZLme34tKF0Fs3zEjMyOtUZlZNawX+n/Xn31AZiZ6TpKZt16oFw+fa+h9LqIuuMgcC55XjjINT4NBXtdlAB6e/YmlLgwwM8schSOnH64zjz5MP96aJ+iig2s+t19m5npXycxNs7rk4Q0fu1tmXnz2C2TmY+frMo3XvvrVMjM+MSEz4SCdr5mncQMrzk+u+LHMbFp3hN5Q1GVOs46ylU5b36OGR/W1fGpW38f27tslM3nQRRnTM/p9WBT6+OwZH5cZK3IZOeNhp8vMzB9+XGZqju8E44wuCTEzG/zBLTKz+ahjZGbnTl020+p2ZMZzNett6vvvYL8uemu39Xm/4Lj99vXoghhP+Ut0PNaOCX1fve66m2RmbFQfHy++oQYAAAASMFADAAAACRioAQAAgAQM1AAAAEACBmoAAAAgAQM1AAAAkICBGgAAAEjAQA0AAAAkWNZil0aPnt97B3RmYHRQZmKhiyD+9I/fIzPX7jtSZr5wuV6kPdb1PpcdvbB+qOlF/F2dLXXHZ6nMsaFY6UihN2OFYyX3rq/YpVboheNffvZamcmLaZk5dn2PzJz7MP02u/A2fawrx+ffBcd59tHv6fPs2accJzMf++SnZOZlL3qhzEzO6tdLn2VmvioErDT79uiijKFBXc5QC/r8mJ7T7/mQ6fdhp9Rn7PCgLhab3bNDZqLj2jk/vyAzA326lCMEfZ1aPabLrsau2CYzU3O6kCUEXWwSndeFqc99V2ZO/Yffk5kv3bVdZgZ79fk643hd16zShWCNSp+v8219rJt1Xdizd1wXCLVK/Xpsu1MXlE3O6GKXzUfpwqfVI8My48U31AAAAEACBmoAAAAgAQM1AAAAkICBGgAAAEjAQA0AAAAkYKAGAAAAEjBQAwAAAAkYqAEAAIAEy1rsEjK9MPjCvF44vrVvRmbe//6/kZnr9h4lMxf8TO9PUdPlHlmpF2kPuf58E8LByVjmWOw+6n2OpT4+paNkxxyZPPo+/537MF2qcNiALhMJpT5fq9iSmec+Vi++f9ktu2Vmp62Wmdyx+H5l+nz94lX6+PSeuklmPnTeB2Xmla94jcwEx/kazXGeYcWZndVlEb1Nfd7PLOhCo+n2rMwMNPRj7Z/Q+zwyPCoznXZXZvp6dNlXWfXJTLvQjxWCzpx54qkyM/X6j8hM6fi+z9HVY4WnoMzMGi1d0JZ9+SqZOeqUo2Xmtjtukpm1Y/r8WLdOF5S12vo+3hrfJTOTs3o7+/ZPyUzR0ffMvj49mh5yiL7/DPbrojPPnOPFN9QAAABAAgZqAAAAIAEDNQAAAJCAgRoAAABIwEANAAAAJGCgBgAAABIwUAMAAAAJGKgBAACABMta7DI3pxdOby/oheNf84pXy0zsP0NmLvrhgsxYvV9GPIvLZ57SllwXBniWqI+VLjaJXceW9GYsRv3kQ6UfK2T6+IyE/XqHzOz5Z66RmazQr73nWAfHmvCj/fqc/u1TmzLzkR/rBfEt19vxvGZZ0EUQF/xUl2C86ZnnyMwrX/FimfnMBZ+XmXZZyAxWnlU9uoiocBRnNZq9MpN39HWh6ujzLDquZ6WjSGV0aERmFtq6sCav6atZT70uM0dtOEJm+i+9TWYmZnRxVGn6OjV86vEyM3Pt7TJjZhYdxS7jF/1QZk4+9/Uyc/ttN+sdCvr1mJqdk5kq6nvCzgldlteo6XN6dHhIZspC31sajnMxd+xP3VHCFKqDNwbzDTUAAACQgIEaAAAASMBADQAAACRgoAYAAAASMFADAAAACRioAQAAgAQM1AAAAEACBmoAAAAgwbIWu/T16pKUjetXy8xvP/91MvOmT0zIzFxtTGY8ZSu5o9glOmpCoqMkxMxRKuDYSnC00Tj6PyzU9PFxldo4ChWefZpeNN7MbG2vPpChcDw5B0f3jZmjaOcZJ+symu9ct01mbpzTi/jX6vo1KzN9FpX5gMz83Vd2y8x5r/1Tmbn22qtkZrKjywmw8riuQ5UuSckcF+pmU98S5yZ0mUa30iVMdce9peMo4OpGfX2Zb+nyl/5efXxO2XKizMyc91GZ0c/crKo3ZGbwzc+VmexT33M8mtnsv10mM3mhy1/s8z+RkWOecJzMXP6zK/VjOe72vQ1dkrJuVM9m9VwXLHlKhsqOfm80a7r8JTjminZHzwJNx/3Qi2+oAQAAgAQM1AAAAEACBmoAAAAgAQM1AAAAkICBGgAAAEjAQA0AAAAkYKAGAAAAEjBQAwAAAAmWtdhlYVYv+v3KN7xWZi68dF5mJmujeodq+vNElenF7h0dGBZLR9mIIxMzvc/R8TEpOkoFap7SFscxDJU+QOsHdbHLbz5Sl/6YmeWFXjjeU37jKsjxZBzNFLUwKzO/e9aIzLzrG/q9MRd0IYun+KdWd5RgdHVhzRev0K/Xbz/vd2Xmwx/+oMxg5Wk0dFnR5Ix+//T0OYpUWrq4o1HXBRetlr6eTc7pIqJa0OUmHj25vpqNDOr3at+PdLnUwox+7vnxR+n9OfZImWluWi8z4aVPkhkzs7m798hM7epb9Xb+XZdQnfJf9Jzzi+FfyMwha3XZ2a7xSZmxSt/H9+3fJzPDg4Myk/fp93O71EVNuePuG4J+z4emvh968Q01AAAAkICBGgAAAEjAQA0AAAAkYKAGAAAAEjBQAwAAAAkYqAEAAIAEDNQAAABAAgZqAAAAIMGyFruMjY7JzHEnP1VmPvm5KZmpN/Xi4d2qkhlPKUmMejsW9XaCa6FyR5WIo4wmejKuwhrHc+/ospHnnaEXqB/KdQGImVlR6M+JmaPoIDgOQHScQ9HR/BMdj3Xy0bpQ4rGH6YKL7+0qZKbK9IL4nuqbmqOX4t9/rs+P8176mzLT/PDf6wfDyhN14ZWnXasq9XnvKc7KG/q90fRcFx2i4/4Tgn6s+bY+hqc87NEyM/WWL8pM5ijTyLfrspGhvzhHZtptfU/I1g3LjJnZ2lMfJjN333KnzHQdx7r76R/IzBNf9QSZ+enPLpOZZl3PQrPzumRozZgubSkL/R7rOsqK2o7tbL9rp8zUc/1+Xr/ecX1x4htqAAAAIAEDNQAAAJCAgRoAAABIwEANAAAAJGCgBgAAABIwUAMAAAAJGKgBAACABAzUAAAAQIJlLXZ51rm/ITM//UVHZuZrozLj6Vox19r7ugAly/VC9p6HKh0lIbmjTCN3lHIUpV7MPEZHAUipF2nfPKxf0ycdo4td8rggM2ZmpeNjouf18BS7BEf5TeE4Rp53YsNR8vA7Z62VmZ98Yb/MzJhexN9TRhPqdZkpekdk5orb9bl4xuMeJzNYefZNT8tMraaveZk+Fa2/oUPtGX0datT0G3qu47ie1XSZU1+9V2bWrdPXhQ1bJ2Rm37QuAGnV9XVh9RMeLjO2Ud/nv3Xxj2Rm0+GH6ccys5Oe93iZ6Xz5OzLTNX2/q/9kq8xs+h29P5d3ZcR6m/q9MTevM7ML+nUdn5iTmfm2vv9sGNNlPI849iiZ8cxmcwt6n734hhoAAABIwEANAAAAJGCgBgAAABIwUAMAAAAJGKgBAACABAzUAAAAQAIGagAAACABAzUAAACQYFmLXc46+xky889XTMlMDLoIoqraejsy4al1MXP0W7gWGA+OB8sc5R5VV5dghMzxYJX+vJWZXll+7ZA+ze5e0Jkrb9NlNGZmP71xUmb+6JkbZGYgb8lMdDS7fPd6vT/fv0u/Ho/cqAscRkaaMlNznIvR8Vk7RJ2pHO+y2KvLK354s158/zlPfqrMYOVpOgpZOoWuaqo7SlJmO/o8K4KjyKvS16rMc/t1bKdb6uf+mBNPkZmpN35aZjLHHTHP9HVh6CVny8xnL/yWzHzmq9+UmZ5mv8yYmX30L/9YZgaffYbM7LtAl78sFPoePfXRb8vMSa85XWa+9V19HGcX9H18566dMnPUJl2ic+Sh62TGIzjq2eY7+h7ebvsK4zz4hhoAAABIwEANAAAAJGCgBgAAABIwUAMAAAAJGKgBAACABAzUAAAAQAIGagAAACABAzUAAACQYFmLXTZufqTM7P32Pr2hhl6sO88dxRTmWKC/cBRTeBbxd7S2REdDTFnox8pzRxOCo4zG0etilWOff7JN7881nx3Xj9UY1DtkZlF3+lhZ06e+o7PFSkfJQ8txnl05pZ/blXsc50c5LTNWG5CR4Cl/cZQMeYqRQtQL9N89rYsQNmzW5RVYeaqg36t5pq+Lk9P6vTEyPCQzrXJeZhZCR2+nq/e56OjzfnRkjcys+dlemdk9MSMzMdfv+cEnnCwz+aZDZObWr+hiE893gt1SvxZmZtt27JKZzc/QRSrj37pMZtpBFwjtv/5GmTl68iyZ+dnYmMzM79LP/YQth8vMzJx+XiN9a2Wm5Si+mWvp+0Yo9TDQ12zIjBffUAMAAAAJGKgBAACABAzUAAAAQAIGagAAACABAzUAAACQgIEaAAAASMBADQAAACRgoAYAAAASLGuxy+SsXsh+1poy0+jTC3F3O55F8/XC4LHUGTPPdvRWskx/vskdmb6oy3FOO6pfZi6/Te/0fKZLQvJMn2bdWp/MhOD7/BcdZTyVp5TE8XCe4pLMEYqOFpnY0AU5seMpENLna+Y81kpV6ceqSr2If8fxPsz7Rlz7hJWl3tDXmN6GvsY06j0yMzWviynymqM4q6vfzzVHSUqtru91Z55ypsxM/vfPyUzm+H6t5ejAWP/SJ+mQozRrZFiXXeWZLqDKPA9mZsMD+h5UH9T3zdFnPV5m9n/y6zJTOu4bE//4NZk57Y+frvfnYr0/g729MlO09bV8fFq/xzxlPI6uPMtrOlQ6ZjMvvqEGAAAAEjBQAwAAAAkYqAEAAIAEDNQAAABAAgZqAAAAIAEDNQAAAJCAgRoAAABIwEANAAAAJFjWYpfxcb2CdifXxS55W2+n8izm7mnccKweHhwrsAdHmUY9zMvM2cfrx/qvTzhcZg4b1dt55Ye3ycwvFhylNo6yhHo+LDNdV8mOWXdmWmaqUpdFhNzzujoynvMs1wUF0VMj43isWDqKbxzH2rM/0VHsEhxlRdFxfOZ1pwBWoPHJvTIz2q9LW/Z1dVnEquE1MnP37nGZWTOitxNyXRDT1zMkMxu37peZPfunZMYc78Pesx4hM2Hjap1x3Ff7+/RrGh3XO++3hj29urWmKPRFZvCJj5KZma9drneorV/Xubu2y8yh21oys3qVfs1arRmZWTWit5MHPb81o34tMsd2PLfM6bkFHXLiG2oAAAAgAQM1AAAAkICBGgAAAEjAQA0AAAAkYKAGAAAAEjBQAwAAAAkYqAEAAIAEDNQAAABAgmUtdumUeiHuzPRi9xb154BQOMorHJnc8VjW0cUlJ6xvy8xrzz1EZo5b7yiIMf1Yu/bpFc937tfHJ2vo/Rmbvl5mBge3yMyuPTtkxszs6GFdCFDLDtUbcnQDBcfK8Z5eF+vo41jL9Nu16yhMcHStWObpRao5il0aep+rwlHUlDmKbxzPHStPva7LvoaG18pMZ3JCZjLHLXFs1YjMzC7okq7+Xv28nnjaY2Vm/x+cLzOeSqyiod8/m1/5TJlpDOmSrnZL36NGh/plJjiuU6XrAmzW09SvR+YomLK+XhkZe945MrP/vAtlJtb1K7vnE1+TmTPe+hyZ+f6Pvyszjbo+1t1Kz3jBMSuWjlK1ot2VmYFe/Xp58Q01AAAAkICBGgAAAEjAQA0AAAAkYKAGAAAAEjBQAwAAAAkYqAEAAIAEDNQAAABAAgZqAAAAIMGyFrvUcj2/R0/5S82x25XeTq0sZGasuU9mfu9ZulTgScetlpmsasmMp7vCU1hz1Q2TMlOaPob1Ylpm9lfrZWbflH5NQ/8mmTEzu2FalypUjgPpOdaeyoC643Nr7Opzsaw7jlFwlB5lugzAU1hTORpi8rpexL8q9HaqSi/Q35tT7PJQVDnKO/ZOzchMnuv3z0JXX4Nd959c73RfX5/MrLtmj8yM79OFNbGmrwuNxx4rM3NrdQlGtaCPYU+vLt9au1rfM6OjtCWrOcrizKy/Rxe7xOioyHHcOPrPPFFmpr74Q5kpduySmbh3XGbWb90rM2vW6DK0+YVZnZncLzNZTRfo1DLH98GOhrJue0Fvx4lvqAEAAIAEDNQAAABAAgZqAAAAIAEDNQAAAJCAgRp8BusoAAAULklEQVQAAABIwEANAAAAJGCgBgAAABIwUAMAAAAJGKgBAACABMvalDgy2JCZWle33EXH54Cxum7Oetbp+uk/57FHyMxA3pEZM930Zo7mn8pRGxZz3TL0xNN0u+MTT/U0EenI/Jxul7p5t27X+t71vkajS25oO1KOpkTH65FFvZ1Gpl8PT8dfdOxP7sh42hTLrm7JjOY4Fx1tinVHA2Re6GPYDI5KPaw4A73DMtPu6MbWsbVjMjO+f0pmRvp1o95sqd9jJ5/wGJmZfvNnZKbtaIMr63p/Vr/4STLjapts6et0cLxXGzXXVVEmhpq+psRGXV9j2l1HO6zj+mqOBtnRFz1FZnZ96NN6fwp9LZ/4+Hdk5qQPvVRmvvn9b8lMf69u25yY1E3OPYO6bbOnf5XMxK5nXvDhG2oAAAAgAQM1AAAAkICBGgAAAEjAQA0AAAAkYKAGAAAAEjBQAwAAAAkYqAEAAIAEDNQAAABAgmUtdhkd1PP7YDYnMydtKWTmNU/WxSWHD8mIlaUuHImekhD9UGaOBeFj0AvLV44yjUZwlNG4dlprDugNnT6gT8XHHON4wczsd84YlJkBRxmCBcfr6il2yR1lK46DXUVHgUPUr72rkMXx2kfP/pSOgpiafu0HG3qH7t52nczYlnN0Bg8qeyf3yczh6/T1PgR9ns3M6uu9VboAZGyVLqPZdJMur9i/V2eCowCl77TjZKZ+7GEy47kG1WuO+5jj8rtqUBeAOC7RNjTQp0NmVpb62llzlHRVdnCuwavOerjMTHx1o8x0t94lM8WkLjRa/cPbZeaQDRtkZn5mQmZ6enTxTWdBFwgVLf1+Xrf6EJnx4htqAAAAIAEDNQAAAJCAgRoAAABIwEANAAAAJGCgBgAAABIwUAMAAAAJGKgBAACABAzUAAAAQIJlLXaZndspM6t6dGnLxHRTZvbM6EKJdY6ekLrphdxDcKxS7+HYjKdwI3gKSVwZx/549llHzNOzUrq2ZHbYap0JVVdmouMAeMpNPP04B+s1s8pTWKMjrmKXylFYo9/OFh3vn4cdpt/zW6+8RGae/WSKXVaa3h5dzDG5oN/Pa3t0UUi36yi8ig0ZOe2Rp8rM9B99QWY6jpKQKtO38aHffZLMFIW+Z9YaunAjOgpSqqgfq3+gR2/Hcb3r6/cVu3juLp5Clo7jHMqDY67I9et6yAufLjM73vqPMtNt6ue1/zPfkpnTPvwamfnXiy+SGcscJTt1fU8Y1KerVV1HmZMT31ADAAAACRioAQAAgAQM1AAAAEACBmoAAAAgAQM1AAAAkICBGgAAAEjAQA0AAAAkYKAGAAAAEixrscvll14sMycd9VSZuehGvUD/W86fkpnHHq0XD/+ds8dk5rg1jhaMbltGXMUdjkiW69DWO/X+XHanp/xEfybbMKZXVz/lyEGZGev1LcDuO6k95QN6sXtX0Y7j9YiOogNPaYvrHHKUE2SOj9qxOjhFM2VLn4tnbtaP9YlPfk9m/vQtb5MZPLiUXX0ODQ/oe0LuOBfHVulWqFWDwzJzxM2zMjO7a6/MxEyf99mjj5YZ23yIjNTq+sqZO76Di7qzxKVZ1/eNnlzvz9jAgOvxHIfaCkdpTU9dF/94FF19/+195GaZyR+1ST/WFb+QmTir77/5166RmSOP1/u8Z9d2mSk68zKzfdIxw3QmZMaLb6gBAACABAzUAAAAQAIGagAAACABAzUAAACQgIEaAAAASMBADQAAACRgoAYAAAASMFADAAAACZa12OWiL18oM+9433Nk5ps/n5SZVl0Xsnz/JhmxK+7YJzNPPkGvZP+cM0ZkZqPuC7BadCxUrvsLrL+3R2a+fq1+rIWaLlQo23pB+NHa3TLz4if0yYyZ2VNP0LncUW7i6H4xR6+NBUdLShYKmYmV3qGQO1oVHCeI55O2p/ylWzqKf5pzMjNW6MX3r7jyKr1DWHH6mvp8LQpdDjQzr4sgrNQFSyee8EiZmfuzi2TGUxxVZvr9vOol58hM5imIcbSGeYqsPO1jZaWPc3+fvkf1NHSJSl9vU2bMzLqF3qfguG9Ex9WzclzLPa+Zo6vI1rxQl+XtuOYWmWl19fEpL/yhzJxx7v8jM9+Z1Nf7OUfJzppBXQ50x117ZMaLb6gBAACABAzUAAAAQAIGagAAACABAzUAAACQgIEaAAAASMBADQAAACRgoAYAAAASMFADAAAACZa12OX6G3STyuzu62XmtCOPkJlL7nKtQC91K13I8pVrdanAD27YLTO/cbIuSfntxwzKzOoeveD5URv0YvdH9OlSmxu7ukQl5Po02xf7ZeZ/XKKPs5nZgKMQ4PGb9ILvITrKVhz7kztOxcyzIU/xgqfVx/NYjsaA6Gh2qdX1ufjMU/Vrf8En3iczrUq/Xlh5mnV9/ejp0QUftbouSfGUFR19hy6qmt6pr/eloxWq51HHyEzz4ZtkJjgeq3CUrXiuZZ47byz0dcFTZPUb55wpMyccc6Rjj8waDX1PiJ6Lp+Ma7Hk9qlJfz4Kj+Gfg+KNkpu/ME2Vm4XtX6/1Z6MhM54LLZGbTU/U+33ij3p+5li6nGxsdlRkvvqEGAAAAEjBQAwAAAAkYqAEAAIAEDNQAAABAAgZqAAAAIAEDNQAAAJCAgRoAAABIwEANAAAAJFjWYpfSsXD8+//6vTrzwU/JzJX/PCEzs7le0Lvb1YvL15t6QfiZYpXMfP4qfXwuvnaPzPzW6bps5eyH6/KTgUH9vPJZvbB86VjEPxT6s12s6VIbM7PPXrpfZk4/ar3M9AW931XQr1mW6+cWoiOT6f0x069HFXT1QlbT2/H0w2xoTsrM5oY+p9/zzW/ITKO2rJczLJN2V5czNBq6UCI6yjROPUkXhcy87QsyU5i+LnQyfX3d8Jrf1NtxvBNzTyNLpTOdjj7OzYYu2QmOBp2oD6FtWDOkt+PZkJkVjudWRse9zPFYMejXrJY77r+O0iNPSdfYC54iM3f+5DqZ6Zguoxn/zo9k5oTnvUlmfjJ3ucz09eiyvMJxnL34hhoAAABIwEANAAAAJGCgBgAAABIwUAMAAAAJGKgBAACABAzUAAAAQAIGagAAACABAzUAAACQYFmbEGLUC4z//NqrZebHl1wgMy95/LNk5mOXzMlMEftlpir1Uu6V47mXpS7T2GMjMvNPF7dk5jM/3CUz7diUmf4hRwFI6SkkcRxDRzGQmdmuCV1aM7Gg97u/qV+zLOjt5I5CluAoW/Es4t91HKLgONZZpp97vTslM687Z1hm3vl7L5GZotDlHoPDutAIK0+3q8siQk2XiQwO6PPjyDtnZWZ6h+Pa6Xg/x5OPkpnwiMNlptfxWJ77T1Hp45xnjufleCzP/lxyxbUy89ELviQzFnxjzjt+/6Uys3nTYTLj6KyxGA/S/a7Szy3P9T2quXGtzAycdbLMLHxLl60ER9HM7MculpnTnvd4mdl2qy6j2b1flwB68Q01AAAAkICBGgAAAEjAQA0AAAAkYKAGAAAAEjBQAwAAAAkYqAEAAIAEDNQAAABAAgZqAAAAIMGyFrtkjkXhC8eC7+/7y/fKzGc/+xiZefpxQzLzlev1Z46io4tEsprejqdwwxyLoluuC1nmS12EkNX0/pRdXVriqXXJgn5eeag7tmTWibrYZmJB79WhfY7nr7sQXGUIdUdpS8ccRTOO18wqx/505mXmVY/X59k3zn+PzNy+7S6ZafQ6LlW550zDSlN3lLbUHe+xR5/8WJlp/8H5MlN6Srpyfb1f//Kn6+2UutwjOp57q92WmVp+cMaBdkc/Vn+fLky7fftumakc90zPTGFmtmdSF1UdVz9SZtotfe3MHMc6d5SGRcc9oesoxaoFfb6uft4TZebu718jM3FhQWamvn+VzBz/wrNk5qaorx0LjmI+L76hBgAAABIwUAMAAAAJGKgBAACABAzUAAAAQAIGagAAACABAzUAAACQgIEaAAAASMBADQAAACRY1mKXRkM/XOWoAWlVOvPfXvcymfnERy+QmaKckZlv3+xYfL9nQGccC/R7yl9C0JnoOM6ZYzsWHWUajtcrOh6r6uoF6s3M6no9fOs6CmkcXTNW85S2NHUhTVk5ygAcC/17XvtaOSszrzxLL4i/7Ucfk5kvfOGzMtN1FC/05PoYzk7rY4iVR19dzSzT5+vY9eMyM3HnNpkpHO+xxiM2y0z9UTrTdpRyNIKjpMtz33B8vVZ29auRZ3pD8/NzMnPOY06Smauuv0lm1o2NyIyZ2UnH6dejKvV9I3eUtlSOa16e6et97rhFdxz7XDnu4421ozIzcu7jZGb6c9/R++Mo6Zr7n9+WmS2vOk1mduzbIzNefEMNAAAAJGCgBgAAABIwUAMAAAAJGKgBAACABAzUAAAAQAIGagAAACABAzUAAACQgIEaAAAASLCsxS6Z6cXMm716kfpupyMze/fulpmXvfoFMvP3f/OPMnPYuqbMfPryCZlZqOmF04On/CXXn5OC47WoZY7F5x0Ly+fR8bnNsdC9NXyf/yrHPs2XOjRZ6XMxOkprFkrHcXT049SbeqH/0UwXEb3snB6Z+ffPfFBmPv7Jf5KZvK4vMcFR3bHQ0u95vh94aOq09Wv/8OMfKTPT77pQZtqOgovSUTI09spzZcZTwlR3lISYo6TLc9+IleMa7Njnsij0Zhw3jiMOXS0zf/f235cZV/mYmWWO5587SlLKVkvvUqGveV1H2VdV6H0uFtoy05rXZV+OccCaR2+QmXZDv/ZNR5vT1DVbZeaEzpNl5uqhMf1gTtyBAAAAgAQM1AAAAEACBmoAAAAgAQM1AAAAkICBGgAAAEjAQA0AAAAkYKAGAAAAEjBQAwAAAAmWtdjl+OM2ycyNd9wpM70DgzLTnddlAOPje2Xm5S9/icy8/a1vl5m/evHTZeZj39BlNNeND8hMlQ/JTOb4KFWr6QXYs6AXus8dJTKV47Nd6Sl/MbM875eZD31lWmZqQZ9DXUdngGMNf2v26BKZJ27SC/2fsUFnznv362Xme9+/VGY6jpKDmqMIoq9XFyO1HOUE9ZourMHK09/XJzNH7+7KzL5b75CZaPp8rZr6tjl3+XUyM3XJz/T+dPXFI3T0c++YLlspHM0dnlK1Tke/V8tS73PXUVjTM6OPT1nox1oM6m15il08BTGeRrT6gqNExlFiVnfcpFpNvc+eu29P13EONfT+NAtHIZij1GbiI1+WmTPeokuYvPiGGgAAAEjAQA0AAAAkYKAGAAAAEjBQAwAAAAkYqAEAAIAEDNQAAABAAgZqAAAAIAEDNQAAAJBgWYtdto/fLTPdBb0Affxf7d07ix1lHAbwmTmXPbuJ2SRqlWhiK6hIFAm4YG3sxMLODyA2KUxj6QewtrAQrCy0sVEMEswKabSw0Cqi0URyMZu9nD238QsIzwuvBAK/X/0wMzvXZ0/x/qd5Qe+2YCjJZCMPlDiY7cXMpQ8uxcwr5z6PmYsX34+Z/fZEzHzz082Y+fmvfOln/ShmujZn2kXBAJBBjDRNwYCUpmmaccG25qt87Zs+H/fxcR50cP659Zh5+Wze19dffBIz77z7ccw82M/DX5YFQx6GgzyMpmQWz87ONGa6rmDIUMk9xCPn3IvnY+bwo69ipisY2lLyG9PwIN+vu599GzOLUb5hi4654Fu32Mj7GvQF29kseMgK3vfNZh6+NRrna9HuHuTtrMo+HMOTT8RMfysPg+sn+bj7PmcW43w9hgXDTWb5E10yZ6YZzfK1X3a5v7WDgu0UNNO24Pwsf/kjZk7t/n812C/UAABQQaEGAIAKCjUAAFRQqAEAoIJCDQAAFRRqAACooFADAEAFhRoAACo81MEud+/sxEzX5kOaTg9jZjzJgzuGo/z/xLGjeSjH3k4elHHl6nbMXL58IWa2trZi5sLreTtvv/lazOz3R2PmRl7nvrnxd75ee33OdMOCFeqbpnl8Mw8cOX0iL/Z/6uQkZh7c+TNmtq98FzPvfZgH//z+2/WY6Qd5of/VKP/tbcEshJLnpy14nuezPAhitsj3x7BkigyPnLPT/Nwvfr0eMyVzf+YFmZIBKE3BbJNumbfTdvkZK9hV0xUMWxm0eV/zPMeqWZ/nv2tvNw9MOxjlY95Y5nf9si0Z6NM00517MTPYyO+ztYJzNCsYVDVeFdwfeVdNXzC1ZdgWDFuZFGTWcu8aj/N3dfBkfuYHazmzMcrDevaOl/WKEn6hBgCACgo1AABUUKgBAKCCQg0AABUUagAAqKBQAwBABYUaAAAqKNQAAFDhoQ52aRa5v68VLAw+GeWFwfcODmJmvjONmeW8YHH59Y28nUU+nuE4X47t7e9j5tq1H/K+hnmx9xeefzZmTj/1dMwcObIZM+uTPEBntSwZYdA0NwoW6L+6n0c43L53P2Zmq4JBKgXL7+8fLmKmHeWF9VcFA3LOPHM6Zm7dzudw1OUF8f+5uxszy4IhMv0ih7qC54dHz80uPxtnXn0pZgaLvJ3hqOAeKnlXTfJ2SgZlDNfyvqaT/F7suryvyaDg23ssP/P9IH/nN9bz8cy7kkFN+XgOl/m6N03TFMzQaRZNPqb789wrZqt8TH3BQJrdw7yv8WP5HB3bzN/o5Szva7XK7+lVwYleFlz6w2n+tqwV3NM/fvlpzLzxVh6W1zR+oQYAgCoKNQAAVFCoAQCggkINAAAVFGoAAKigUAMAQAWFGgAAKijUAABQoe37ksXTAQCA/+IXagAAqKBQAwBABYUaAAAqKNQAAFBBoQYAgAoKNQAAVFCoAQCggkINAAAVFGoAAKigUAMAQAWFGgAAKijUAABQQaEGAIAKCjUAAFRQqAEAoIJCDQAAFRRqAACooFADAEAFhRoAACoo1AAAUEGhBgCACgo1AABUUKgBAKDCv/YN9OhzNaBbAAAAAElFTkSuQmCC
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>
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<div class="input">
<div class="prompt input_prompt">In&nbsp;[63]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">my_signs</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">my_signs</span><span class="p">)</span>
<span class="n">my_signs_gray</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">my_signs</span><span class="o">/</span><span class="mi">3</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">keepdims</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">my_signs_normalized</span> <span class="o">=</span> <span class="p">(</span><span class="n">my_signs_gray</span><span class="o">-</span><span class="mi">128</span><span class="p">)</span><span class="o">/</span><span class="mi">128</span>

<span class="n">number_to_stop</span> <span class="o">=</span> <span class="mi">6</span>
<span class="n">figures</span> <span class="o">=</span> <span class="p">{}</span>
<span class="n">labels</span> <span class="o">=</span> <span class="p">{}</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">number_to_stop</span><span class="p">):</span>
    <span class="n">labels</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="n">name_values</span><span class="p">[</span><span class="n">my_labels</span><span class="p">[</span><span class="n">i</span><span class="p">]][</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">decode</span><span class="p">(</span><span class="s1">&#39;ascii&#39;</span><span class="p">)</span>
    <span class="n">figures</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="n">my_signs_normalized</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">squeeze</span><span class="p">()</span>
    
<span class="n">plot_figures</span><span class="p">(</span><span class="n">figures</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
</pre></div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">with</span> <span class="n">tf</span><span class="o">.</span><span class="n">Session</span><span class="p">()</span> <span class="k">as</span> <span class="n">sess</span><span class="p">:</span>
    <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">global_variables_initializer</span><span class="p">())</span>
    <span class="n">saver</span><span class="o">.</span><span class="n">restore</span><span class="p">(</span><span class="n">sess</span><span class="p">,</span> <span class="s2">&quot;./lenet&quot;</span><span class="p">)</span>
    <span class="n">my_accuracy</span> <span class="o">=</span> <span class="n">evaluate</span><span class="p">(</span><span class="n">my_signs_normalized</span><span class="p">,</span> <span class="n">my_labels</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Extra Data Set Accuracy = </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">my_accuracy</span><span class="p">))</span>
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<pre>INFO:tensorflow:Restoring parameters from ./lenet
Extra Data Set Accuracy = 0.667
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">### Print out the top five softmax probabilities for the predictions on the German traffic sign images found on the web. </span>
<span class="c1">### Feel free to use as many code cells as needed.</span>
<span class="n">k_size</span> <span class="o">=</span> <span class="mi">5</span>
<span class="n">softmax_logits</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">softmax</span><span class="p">(</span><span class="n">logits</span><span class="p">)</span>
<span class="n">top_k</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">top_k</span><span class="p">(</span><span class="n">softmax_logits</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="n">k_size</span><span class="p">)</span>

<span class="k">with</span> <span class="n">tf</span><span class="o">.</span><span class="n">Session</span><span class="p">()</span> <span class="k">as</span> <span class="n">sess</span><span class="p">:</span>
    <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">global_variables_initializer</span><span class="p">())</span>
    <span class="n">saver</span><span class="o">.</span><span class="n">restore</span><span class="p">(</span><span class="n">sess</span><span class="p">,</span> <span class="s2">&quot;./lenet&quot;</span><span class="p">)</span>
    <span class="n">my_softmax_logits</span> <span class="o">=</span> <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">softmax_logits</span><span class="p">,</span> <span class="n">feed_dict</span><span class="o">=</span><span class="p">{</span><span class="n">x</span><span class="p">:</span> <span class="n">my_signs_normalized</span><span class="p">,</span> <span class="n">keep_prob</span><span class="p">:</span> <span class="mf">1.0</span><span class="p">})</span>
    <span class="n">my_top_k</span> <span class="o">=</span> <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">top_k</span><span class="p">,</span> <span class="n">feed_dict</span><span class="o">=</span><span class="p">{</span><span class="n">x</span><span class="p">:</span> <span class="n">my_signs_normalized</span><span class="p">,</span> <span class="n">keep_prob</span><span class="p">:</span> <span class="mf">1.0</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">6</span><span class="p">):</span>
        <span class="n">figures</span> <span class="o">=</span> <span class="p">{}</span>
        <span class="n">labels</span> <span class="o">=</span> <span class="p">{}</span>
        
        <span class="n">figures</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="n">my_signs</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
        <span class="n">labels</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="s2">&quot;Original&quot;</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="n">k_size</span><span class="p">):</span>
            <span class="n">labels</span><span class="p">[</span><span class="n">j</span><span class="o">+</span><span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;Guess </span><span class="si">{}</span><span class="s1"> : (</span><span class="si">{:.0f}</span><span class="s1">%)&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">j</span><span class="o">+</span><span class="mi">1</span><span class="p">,</span> <span class="mi">100</span><span class="o">*</span><span class="n">my_top_k</span><span class="p">[</span><span class="mi">0</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="n">figures</span><span class="p">[</span><span class="n">j</span><span class="o">+</span><span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="n">X_valid</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">argwhere</span><span class="p">(</span><span class="n">y_valid</span> <span class="o">==</span> <span class="n">my_top_k</span><span class="p">[</span><span class="mi">1</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="mi">0</span><span class="p">]]</span><span class="o">.</span><span class="n">squeeze</span><span class="p">()</span>
            
        <span class="n">plot_figures</span><span class="p">(</span><span class="n">figures</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
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<pre>INFO:tensorflow:Restoring parameters from ./lenet
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