diff --git a/pycamb/docs/CAMBdemo.html b/pycamb/docs/CAMBdemo.html
index dbf29def..9de5dfaf 100644
--- a/pycamb/docs/CAMBdemo.html
+++ b/pycamb/docs/CAMBdemo.html
@@ -1,9 +1,7 @@
 <!DOCTYPE html>
 <html>
 <head><meta charset="utf-8" />
-<title>CAMBdemo</title>
-
-<script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
+<title>CAMBdemo</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>
 
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@@ -11,38 +9,11599 @@
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+*/
+/*!
+ * Bootstrap v3.3.7 (http://getbootstrap.com)
+ * Copyright 2011-2016 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ */
+/*! 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;
+  }
+  .table-bordered th,
+  .table-bordered td {
+    border: 1px solid #ddd !important;
+  }
+}
+@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 {
+  content: "\e040";
+}
+.glyphicon-tag:before {
+  content: "\e041";
+}
+.glyphicon-tags:before {
+  content: "\e042";
+}
+.glyphicon-book:before {
+  content: "\e043";
+}
+.glyphicon-bookmark:before {
+  content: "\e044";
+}
+.glyphicon-print:before {
+  content: "\e045";
+}
+.glyphicon-camera:before {
+  content: "\e046";
+}
+.glyphicon-font:before {
+  content: "\e047";
+}
+.glyphicon-bold:before {
+  content: "\e048";
+}
+.glyphicon-italic:before {
+  content: "\e049";
+}
+.glyphicon-text-height:before {
+  content: "\e050";
+}
+.glyphicon-text-width:before {
+  content: "\e051";
+}
+.glyphicon-align-left:before {
+  content: "\e052";
+}
+.glyphicon-align-center:before {
+  content: "\e053";
+}
+.glyphicon-align-right:before {
+  content: "\e054";
+}
+.glyphicon-align-justify:before {
+  content: "\e055";
+}
+.glyphicon-list:before {
+  content: "\e056";
+}
+.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 {
+  content: "\e062";
+}
+.glyphicon-adjust:before {
+  content: "\e063";
+}
+.glyphicon-tint:before {
+  content: "\e064";
+}
+.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 {
+  content: "\e090";
+}
+.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 {
+  content: "\e167";
+}
+.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 {
+  content: "\e189";
+}
+.glyphicon-sound-dolby:before {
+  content: "\e190";
+}
+.glyphicon-sound-5-1:before {
+  content: "\e191";
+}
+.glyphicon-sound-6-1:before {
+  content: "\e192";
+}
+.glyphicon-sound-7-1:before {
+  content: "\e193";
+}
+.glyphicon-copyright-mark:before {
+  content: "\e194";
+}
+.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 {
+  content: "\e202";
+}
+.glyphicon-open-file:before {
+  content: "\e203";
+}
+.glyphicon-level-up:before {
+  content: "\e204";
+}
+.glyphicon-copy:before {
+  content: "\e205";
+}
+.glyphicon-paste:before {
+  content: "\e206";
+}
+.glyphicon-alert:before {
+  content: "\e209";
+}
+.glyphicon-equalizer:before {
+  content: "\e210";
+}
+.glyphicon-king:before {
+  content: "\e211";
+}
+.glyphicon-queen:before {
+  content: "\e212";
+}
+.glyphicon-pawn:before {
+  content: "\e213";
+}
+.glyphicon-bishop:before {
+  content: "\e214";
+}
+.glyphicon-knight:before {
+  content: "\e215";
+}
+.glyphicon-baby-formula:before {
+  content: "\e216";
+}
+.glyphicon-tent:before {
+  content: "\26fa";
+}
+.glyphicon-blackboard:before {
+  content: "\e218";
+}
+.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 {
+  content: "\e224";
+}
+.glyphicon-piggy-bank:before {
+  content: "\e225";
+}
+.glyphicon-scissors:before {
+  content: "\e226";
+}
+.glyphicon-bitcoin:before {
+  content: "\e227";
+}
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+  content: "\e227";
+}
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+  content: "\e227";
+}
+.glyphicon-yen:before {
+  content: "\00a5";
+}
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+  content: "\00a5";
+}
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+}
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+  content: "\20bd";
+}
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+  content: "\e230";
+}
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+  content: "\e231";
+}
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+  content: "\e232";
+}
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+  content: "\e233";
+}
+.glyphicon-option-horizontal:before {
+  content: "\e234";
+}
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+  content: "\e235";
+}
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+  content: "\e236";
+}
+.glyphicon-modal-window:before {
+  content: "\e237";
+}
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+  content: "\e238";
+}
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+  content: "\e239";
+}
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+  content: "\e240";
+}
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+  content: "\e241";
+}
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+  content: "\e242";
+}
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+  content: "\e243";
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+  content: "\e244";
+}
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+  content: "\e245";
+}
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+  content: "\e246";
+}
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+  content: "\e247";
+}
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+  content: "\e248";
+}
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+  content: "\e249";
+}
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+  content: "\e250";
+}
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+  content: "\e251";
+}
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+  content: "\e252";
+}
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+  content: "\e253";
+}
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+  content: "\e254";
+}
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+  content: "\e255";
+}
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+  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";
+}
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+  -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,
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+h6 .small,
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+.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,
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+h3 small,
+.h3 small,
+h1 .small,
+.h1 .small,
+h2 .small,
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+h3 .small,
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+  font-size: 65%;
+}
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+.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;
+}
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+.h3 {
+  font-size: 23px;
+}
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+.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%;
+}
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+  width: 75%;
+}
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+  width: 66.66666667%;
+}
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+  width: 58.33333333%;
+}
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+  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%;
+}
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+  right: 83.33333333%;
+}
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+  right: 75%;
+}
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+  right: 66.66666667%;
+}
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+  right: 58.33333333%;
+}
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+  right: 50%;
+}
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+  right: 41.66666667%;
+}
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+  right: 33.33333333%;
+}
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+  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%;
+}
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+  left: 91.66666667%;
+}
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+  left: 83.33333333%;
+}
+.col-xs-push-9 {
+  left: 75%;
+}
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+  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%;
+}
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+  margin-left: 66.66666667%;
+}
+.col-xs-offset-7 {
+  margin-left: 58.33333333%;
+}
+.col-xs-offset-6 {
+  margin-left: 50%;
+}
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+  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 {
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+}
+.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;
+  padding-top: 11px;
+  padding-bottom: 3px;
+}
+#maintoolbar .navbar-text {
+  float: none;
+  vertical-align: middle;
+  text-align: right;
+  margin-left: 5px;
+  margin-right: 0px;
+  margin-top: 0px;
+}
+.select-xs {
+  height: 24px;
+}
+.pulse,
+.dropdown-menu > li > a.pulse,
+li.pulse > a.dropdown-toggle,
+li.pulse.open > a.dropdown-toggle {
+  background-color: #F37626;
+  color: white;
+}
+/**
+ * Primary styles
+ *
+ * Author: Jupyter Development Team
+ */
+/** WARNING IF YOU ARE EDITTING THIS FILE, if this is a .css file, It has a lot
+ * of chance of beeing generated from the ../less/[samename].less file, you can
+ * try to get back the less file by reverting somme commit in history
+ **/
+/*
+ * We'll try to get something pretty, so we
+ * have some strange css to have the scroll bar on
+ * the left with fix button on the top right of the tooltip
+ */
+@-moz-keyframes fadeOut {
+  from {
+    opacity: 1;
+  }
+  to {
+    opacity: 0;
+  }
+}
+@-webkit-keyframes fadeOut {
+  from {
+    opacity: 1;
+  }
+  to {
+    opacity: 0;
+  }
+}
+@-moz-keyframes fadeIn {
+  from {
+    opacity: 0;
+  }
+  to {
+    opacity: 1;
+  }
+}
+@-webkit-keyframes fadeIn {
+  from {
+    opacity: 0;
+  }
+  to {
+    opacity: 1;
+  }
+}
+/*properties of tooltip after "expand"*/
+.bigtooltip {
+  overflow: auto;
+  height: 200px;
+  -webkit-transition-property: height;
+  -webkit-transition-duration: 500ms;
+  -moz-transition-property: height;
+  -moz-transition-duration: 500ms;
+  transition-property: height;
+  transition-duration: 500ms;
+}
+/*properties of tooltip before "expand"*/
+.smalltooltip {
+  -webkit-transition-property: height;
+  -webkit-transition-duration: 500ms;
+  -moz-transition-property: height;
+  -moz-transition-duration: 500ms;
+  transition-property: height;
+  transition-duration: 500ms;
+  text-overflow: ellipsis;
+  overflow: hidden;
+  height: 80px;
+}
+.tooltipbuttons {
+  position: absolute;
+  padding-right: 15px;
+  top: 0px;
+  right: 0px;
+}
+.tooltiptext {
+  /*avoid the button to overlap on some docstring*/
+  padding-right: 30px;
+}
+.ipython_tooltip {
+  max-width: 700px;
+  /*fade-in animation when inserted*/
+  -webkit-animation: fadeOut 400ms;
+  -moz-animation: fadeOut 400ms;
+  animation: fadeOut 400ms;
+  -webkit-animation: fadeIn 400ms;
+  -moz-animation: fadeIn 400ms;
+  animation: fadeIn 400ms;
+  vertical-align: middle;
+  background-color: #f7f7f7;
+  overflow: visible;
+  border: #ababab 1px solid;
+  outline: none;
+  padding: 3px;
+  margin: 0px;
+  padding-left: 7px;
+  font-family: monospace;
+  min-height: 50px;
+  -moz-box-shadow: 0px 6px 10px -1px #adadad;
+  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
+  box-shadow: 0px 6px 10px -1px #adadad;
+  border-radius: 2px;
+  position: absolute;
+  z-index: 1000;
+}
+.ipython_tooltip a {
+  float: right;
+}
+.ipython_tooltip .tooltiptext pre {
+  border: 0;
+  border-radius: 0;
+  font-size: 100%;
+  background-color: #f7f7f7;
+}
+.pretooltiparrow {
+  left: 0px;
+  margin: 0px;
+  top: -16px;
+  width: 40px;
+  height: 16px;
+  overflow: hidden;
+  position: absolute;
+}
+.pretooltiparrow:before {
+  background-color: #f7f7f7;
+  border: 1px #ababab solid;
+  z-index: 11;
+  content: "";
+  position: absolute;
+  left: 15px;
+  top: 10px;
+  width: 25px;
+  height: 25px;
+  -webkit-transform: rotate(45deg);
+  -moz-transform: rotate(45deg);
+  -ms-transform: rotate(45deg);
+  -o-transform: rotate(45deg);
+}
+ul.typeahead-list i {
+  margin-left: -10px;
+  width: 18px;
+}
+ul.typeahead-list {
+  max-height: 80vh;
+  overflow: auto;
+}
+ul.typeahead-list > li > a {
+  /** Firefox bug **/
+  /* see https://github.com/jupyter/notebook/issues/559 */
+  white-space: normal;
+}
+.cmd-palette .modal-body {
+  padding: 7px;
+}
+.cmd-palette form {
+  background: white;
+}
+.cmd-palette input {
+  outline: none;
+}
+.no-shortcut {
+  display: none;
+}
+.command-shortcut:before {
+  content: "(command)";
+  padding-right: 3px;
+  color: #777777;
+}
+.edit-shortcut:before {
+  content: "(edit)";
+  padding-right: 3px;
+  color: #777777;
+}
+#find-and-replace #replace-preview .match,
+#find-and-replace #replace-preview .insert {
+  background-color: #BBDEFB;
+  border-color: #90CAF9;
+  border-style: solid;
+  border-width: 1px;
+  border-radius: 0px;
+}
+#find-and-replace #replace-preview .replace .match {
+  background-color: #FFCDD2;
+  border-color: #EF9A9A;
+  border-radius: 0px;
+}
+#find-and-replace #replace-preview .replace .insert {
+  background-color: #C8E6C9;
+  border-color: #A5D6A7;
+  border-radius: 0px;
+}
+#find-and-replace #replace-preview {
+  max-height: 60vh;
+  overflow: auto;
+}
+#find-and-replace #replace-preview pre {
+  padding: 5px 10px;
+}
+.terminal-app {
+  background: #EEE;
+}
+.terminal-app #header {
+  background: #fff;
+  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
+  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
+}
+.terminal-app .terminal {
+  width: 100%;
+  float: left;
+  font-family: monospace;
+  color: white;
+  background: black;
+  padding: 0.4em;
+  border-radius: 2px;
+  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
+  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
+}
+.terminal-app .terminal,
+.terminal-app .terminal dummy-screen {
+  line-height: 1em;
+  font-size: 14px;
+}
+.terminal-app .terminal .xterm-rows {
+  padding: 10px;
+}
+.terminal-app .terminal-cursor {
+  color: black;
+  background: white;
+}
+.terminal-app #terminado-container {
+  margin-top: 20px;
+}
 /*# sourceMappingURL=style.min.css.map */
     </style>
 <style type="text/css">
@@ -95,8 +11654,10 @@
 .highlight .mh { color: #666666 } /* Literal.Number.Hex */
 .highlight .mi { color: #666666 } /* Literal.Number.Integer */
 .highlight .mo { color: #666666 } /* Literal.Number.Oct */
+.highlight .sa { color: #BA2121 } /* Literal.String.Affix */
 .highlight .sb { color: #BA2121 } /* Literal.String.Backtick */
 .highlight .sc { color: #BA2121 } /* Literal.String.Char */
+.highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */
 .highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */
 .highlight .s2 { color: #BA2121 } /* Literal.String.Double */
 .highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */
@@ -107,11 +11668,52 @@
 .highlight .s1 { color: #BA2121 } /* Literal.String.Single */
 .highlight .ss { color: #19177C } /* Literal.String.Symbol */
 .highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
+.highlight .fm { color: #0000FF } /* Name.Function.Magic */
 .highlight .vc { color: #19177C } /* Name.Variable.Class */
 .highlight .vg { color: #19177C } /* Name.Variable.Global */
 .highlight .vi { color: #19177C } /* Name.Variable.Instance */
+.highlight .vm { color: #19177C } /* Name.Variable.Magic */
 .highlight .il { color: #666666 } /* Literal.Number.Integer.Long */
     </style>
+<style type="text/css">
+    
+/* Temporary definitions which will become obsolete with Notebook release 5.0 */
+.ansi-black-fg { color: #3E424D; }
+.ansi-black-bg { background-color: #3E424D; }
+.ansi-black-intense-fg { color: #282C36; }
+.ansi-black-intense-bg { background-color: #282C36; }
+.ansi-red-fg { color: #E75C58; }
+.ansi-red-bg { background-color: #E75C58; }
+.ansi-red-intense-fg { color: #B22B31; }
+.ansi-red-intense-bg { background-color: #B22B31; }
+.ansi-green-fg { color: #00A250; }
+.ansi-green-bg { background-color: #00A250; }
+.ansi-green-intense-fg { color: #007427; }
+.ansi-green-intense-bg { background-color: #007427; }
+.ansi-yellow-fg { color: #DDB62B; }
+.ansi-yellow-bg { background-color: #DDB62B; }
+.ansi-yellow-intense-fg { color: #B27D12; }
+.ansi-yellow-intense-bg { background-color: #B27D12; }
+.ansi-blue-fg { color: #208FFB; }
+.ansi-blue-bg { background-color: #208FFB; }
+.ansi-blue-intense-fg { color: #0065CA; }
+.ansi-blue-intense-bg { background-color: #0065CA; }
+.ansi-magenta-fg { color: #D160C4; }
+.ansi-magenta-bg { background-color: #D160C4; }
+.ansi-magenta-intense-fg { color: #A03196; }
+.ansi-magenta-intense-bg { background-color: #A03196; }
+.ansi-cyan-fg { color: #60C6C8; }
+.ansi-cyan-bg { background-color: #60C6C8; }
+.ansi-cyan-intense-fg { color: #258F8F; }
+.ansi-cyan-intense-bg { background-color: #258F8F; }
+.ansi-white-fg { color: #C5C1B4; }
+.ansi-white-bg { background-color: #C5C1B4; }
+.ansi-white-intense-fg { color: #A1A6B2; }
+.ansi-white-intense-bg { background-color: #A1A6B2; }
+
+.ansi-bold { font-weight: bold; }
+
+    </style>
 
 
 <style type="text/css">
@@ -124,9 +11726,7 @@
 div#notebook {
   overflow: visible;
   border-top: none;
-}
-
-@media print {
+}@media print {
   div.cell {
     display: block;
     page-break-inside: avoid;
@@ -147,7 +11747,7 @@
 
 <!-- Loading mathjax macro -->
 <!-- Load mathjax -->
-    <script src="https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS_HTML"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS_HTML"></script>
     <!-- MathJax configuration -->
     <script type="text/x-mathjax-config">
     MathJax.Hub.Config({
@@ -171,8 +11771,7 @@
   <div tabindex="-1" id="notebook" class="border-box-sizing">
     <div class="container" id="notebook-container">
 
-<div class="cell border-box-sizing text_cell rendered">
-<div class="prompt input_prompt">
+<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
 </div>
 <div class="inner_cell">
 <div class="text_cell_render border-box-sizing rendered_html">
@@ -209,10 +11808,14 @@
 <div class="output">
 
 
-<div class="output_area"><div class="prompt"></div>
+<div class="output_area">
+
+<div class="prompt"></div>
+
+
 <div class="output_subarea output_stream output_stdout output_text">
 <pre>Using CAMB installed at c:\work\dist\git\camb\pycamb
-CAMB version: 0.1.6.1 
+CAMB version: 0.2.2 
 </pre>
 </div>
 </div>
@@ -230,7 +11833,7 @@
 <span class="n">pars</span> <span class="o">=</span> <span class="n">camb</span><span class="o">.</span><span class="n">CAMBparams</span><span class="p">()</span>
 <span class="c1">#This function sets up CosmoMC-like settings, with one massive neutrino and helium set using BBN consistency</span>
 <span class="n">pars</span><span class="o">.</span><span class="n">set_cosmology</span><span class="p">(</span><span class="n">H0</span><span class="o">=</span><span class="mf">67.5</span><span class="p">,</span> <span class="n">ombh2</span><span class="o">=</span><span class="mf">0.022</span><span class="p">,</span> <span class="n">omch2</span><span class="o">=</span><span class="mf">0.122</span><span class="p">,</span> <span class="n">mnu</span><span class="o">=</span><span class="mf">0.06</span><span class="p">,</span> <span class="n">omk</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">tau</span><span class="o">=</span><span class="mf">0.06</span><span class="p">)</span>
-<span class="n">pars</span><span class="o">.</span><span class="n">InitPower</span><span class="o">.</span><span class="n">set_params</span><span class="p">(</span><span class="n">ns</span><span class="o">=</span><span class="mf">0.965</span><span class="p">,</span> <span class="n">r</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+<span class="n">pars</span><span class="o">.</span><span class="n">InitPower</span><span class="o">.</span><span class="n">set_params</span><span class="p">(</span><span class="n">As</span><span class="o">=</span><span class="mf">2e-9</span><span class="p">,</span> <span class="n">ns</span><span class="o">=</span><span class="mf">0.965</span><span class="p">,</span> <span class="n">r</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
 <span class="n">pars</span><span class="o">.</span><span class="n">set_for_lmax</span><span class="p">(</span><span class="mi">2500</span><span class="p">,</span> <span class="n">lens_potential_accuracy</span><span class="o">=</span><span class="mi">0</span><span class="p">);</span>
 </pre></div>
 
@@ -271,7 +11874,11 @@
 <div class="output">
 
 
-<div class="output_area"><div class="prompt"></div>
+<div class="output_area">
+
+<div class="prompt"></div>
+
+
 <div class="output_subarea output_stream output_stdout output_text">
 <pre>total
 lens_potential
@@ -304,13 +11911,13 @@
 <span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ls</span><span class="p">,</span><span class="n">unlensedCL</span><span class="p">[:,</span><span class="mi">0</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">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">&#39;TT&#39;</span><span class="p">)</span>
 <span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ls</span><span class="p">[</span><span class="mi">2</span><span class="p">:],</span> <span class="mi">1</span><span class="o">-</span><span class="n">unlensedCL</span><span class="p">[</span><span class="mi">2</span><span class="p">:,</span><span class="mi">0</span><span class="p">]</span><span class="o">/</span><span class="n">totCL</span><span class="p">[</span><span class="mi">2</span><span class="p">:,</span><span class="mi">0</span><span class="p">]);</span>
-<span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">r&#39;$\Delta TT$&#39;</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$\Delta TT$&#39;</span><span class="p">)</span>
 <span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ls</span><span class="p">,</span><span class="n">totCL</span><span class="p">[:,</span><span class="mi">1</span><span class="p">],</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;k&#39;</span><span class="p">)</span>
 <span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ls</span><span class="p">,</span><span class="n">unlensedCL</span><span class="p">[:,</span><span class="mi">1</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">ax</span><span class="p">[</span><span class="mi">1</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">r&#39;$EE$&#39;</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">1</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="sa">r</span><span class="s1">&#39;$EE$&#39;</span><span class="p">)</span>
 <span class="n">ax</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="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ls</span><span class="p">,</span><span class="n">totCL</span><span class="p">[:,</span><span class="mi">3</span><span class="p">],</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;k&#39;</span><span class="p">)</span>
 <span class="n">ax</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="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ls</span><span class="p">,</span><span class="n">unlensedCL</span><span class="p">[:,</span><span class="mi">3</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">ax</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="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">r&#39;$TE$&#39;</span><span class="p">);</span>
+<span class="n">ax</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="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$TE$&#39;</span><span class="p">);</span>
 <span class="k">for</span> <span class="n">ax</span> <span class="ow">in</span> <span class="n">ax</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">):</span> <span class="n">ax</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">([</span><span class="mi">2</span><span class="p">,</span><span class="mi">2500</span><span class="p">]);</span>
 </pre></div>
 
@@ -322,1341 +11929,26 @@
 <div class="output">
 
 
-<div class="output_area"><div class="prompt"></div>
+<div class="output_area">
+
+<div class="prompt"></div>
+
+
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 <pre>(2551L, 4L)
 </pre>
 </div>
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 >
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@@ -1670,24 +11962,100 @@
 <div class="cell border-box-sizing code_cell rendered">
 <div class="input">
 <div class="prompt input_prompt">In&nbsp;[6]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython2"><pre><span></span><span class="c1"># The lensing B modes are non-linear, so need to be calculated carefully if you want them accurate (even at low ell)</span>
+<span class="c1"># Need both high lmax, non-linear lensing and high k </span>
+<span class="c1"># lens_potential_accuracy=1 turns on the latter, and can be increased to check precision</span>
+
+<span class="n">pars</span><span class="o">.</span><span class="n">set_for_lmax</span><span class="p">(</span><span class="mi">2500</span><span class="p">,</span> <span class="n">lens_potential_accuracy</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+<span class="n">results</span> <span class="o">=</span> <span class="n">camb</span><span class="o">.</span><span class="n">get_results</span><span class="p">(</span><span class="n">pars</span><span class="p">)</span>
+<span class="n">lmax2500CL</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">get_lensed_scalar_cls</span><span class="p">(</span><span class="n">CMB_unit</span><span class="o">=</span><span class="s1">&#39;muK&#39;</span><span class="p">)</span>
+                  
+<span class="n">pars</span><span class="o">.</span><span class="n">set_for_lmax</span><span class="p">(</span><span class="mi">4000</span><span class="p">,</span> <span class="n">lens_potential_accuracy</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+<span class="n">results</span> <span class="o">=</span> <span class="n">camb</span><span class="o">.</span><span class="n">get_results</span><span class="p">(</span><span class="n">pars</span><span class="p">)</span>
+<span class="n">lmax4000CL</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">get_lensed_scalar_cls</span><span class="p">(</span><span class="n">CMB_unit</span><span class="o">=</span><span class="s1">&#39;muK&#39;</span><span class="p">)</span>
+
+<span class="n">pars</span><span class="o">.</span><span class="n">set_for_lmax</span><span class="p">(</span><span class="mi">4000</span><span class="p">,</span> <span class="n">lens_potential_accuracy</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+<span class="n">results</span> <span class="o">=</span> <span class="n">camb</span><span class="o">.</span><span class="n">get_results</span><span class="p">(</span><span class="n">pars</span><span class="p">)</span>
+<span class="n">accCL</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">get_lensed_scalar_cls</span><span class="p">(</span><span class="n">CMB_unit</span><span class="o">=</span><span class="s1">&#39;muK&#39;</span><span class="p">)</span>
+
+<span class="n">pars</span><span class="o">.</span><span class="n">set_for_lmax</span><span class="p">(</span><span class="mi">6000</span><span class="p">,</span> <span class="n">lens_potential_accuracy</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span>
+<span class="n">results</span> <span class="o">=</span> <span class="n">camb</span><span class="o">.</span><span class="n">get_results</span><span class="p">(</span><span class="n">pars</span><span class="p">)</span>
+<span class="n">refCL</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">get_lensed_scalar_cls</span><span class="p">(</span><span class="n">CMB_unit</span><span class="o">=</span><span class="s1">&#39;muK&#39;</span><span class="p">)</span>
+
+
+<span class="n">fig</span><span class="p">,</span> <span class="n">ax</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">12</span><span class="p">,</span><span class="mi">4</span><span class="p">))</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ls</span><span class="p">,</span><span class="n">totCL</span><span class="p">[:</span><span class="nb">len</span><span class="p">(</span><span class="n">ls</span><span class="p">),</span><span class="mi">2</span><span class="p">],</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;C0&#39;</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ls</span><span class="p">,</span><span class="n">lmax2500CL</span><span class="p">[:</span><span class="nb">len</span><span class="p">(</span><span class="n">ls</span><span class="p">),</span><span class="mi">2</span><span class="p">],</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;C1&#39;</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ls</span><span class="p">,</span><span class="n">lmax4000CL</span><span class="p">[:</span><span class="nb">len</span><span class="p">(</span><span class="n">ls</span><span class="p">),</span><span class="mi">2</span><span class="p">],</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;C2&#39;</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ls</span><span class="p">,</span><span class="n">accCL</span><span class="p">[:</span><span class="nb">len</span><span class="p">(</span><span class="n">ls</span><span class="p">),</span><span class="mi">2</span><span class="p">],</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;C3&#39;</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ls</span><span class="p">,</span><span class="n">refCL</span><span class="p">[:</span><span class="nb">len</span><span class="p">(</span><span class="n">ls</span><span class="p">),</span><span class="mi">2</span><span class="p">],</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;k&#39;</span><span class="p">)</span>
+
+<span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">([</span><span class="mi">2</span><span class="p">,</span><span class="mi">2500</span><span class="p">])</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$\ell(\ell+1)C_\ell^{BB}/2\pi\,[\mu {\rm K}^2]$&#39;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">13</span><span class="p">)</span>
+
+<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ls</span><span class="p">[</span><span class="mi">2</span><span class="p">:],</span><span class="n">totCL</span><span class="p">[</span><span class="mi">2</span><span class="p">:</span><span class="nb">len</span><span class="p">(</span><span class="n">ls</span><span class="p">),</span><span class="mi">2</span><span class="p">]</span><span class="o">/</span><span class="n">refCL</span><span class="p">[</span><span class="mi">2</span><span class="p">:</span><span class="nb">len</span><span class="p">(</span><span class="n">ls</span><span class="p">),</span><span class="mi">2</span><span class="p">]</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;C0&#39;</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ls</span><span class="p">[</span><span class="mi">2</span><span class="p">:],</span><span class="n">lmax2500CL</span><span class="p">[</span><span class="mi">2</span><span class="p">:</span><span class="nb">len</span><span class="p">(</span><span class="n">ls</span><span class="p">),</span><span class="mi">2</span><span class="p">]</span><span class="o">/</span><span class="n">refCL</span><span class="p">[</span><span class="mi">2</span><span class="p">:</span><span class="nb">len</span><span class="p">(</span><span class="n">ls</span><span class="p">),</span><span class="mi">2</span><span class="p">]</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;C1&#39;</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ls</span><span class="p">[</span><span class="mi">2</span><span class="p">:],</span><span class="n">lmax4000CL</span><span class="p">[</span><span class="mi">2</span><span class="p">:</span><span class="nb">len</span><span class="p">(</span><span class="n">ls</span><span class="p">),</span><span class="mi">2</span><span class="p">]</span><span class="o">/</span><span class="n">refCL</span><span class="p">[</span><span class="mi">2</span><span class="p">:</span><span class="nb">len</span><span class="p">(</span><span class="n">ls</span><span class="p">),</span><span class="mi">2</span><span class="p">]</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;C2&#39;</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ls</span><span class="p">[</span><span class="mi">2</span><span class="p">:],</span><span class="n">accCL</span><span class="p">[</span><span class="mi">2</span><span class="p">:</span><span class="nb">len</span><span class="p">(</span><span class="n">ls</span><span class="p">),</span><span class="mi">2</span><span class="p">]</span><span class="o">/</span><span class="n">refCL</span><span class="p">[</span><span class="mi">2</span><span class="p">:</span><span class="nb">len</span><span class="p">(</span><span class="n">ls</span><span class="p">),</span><span class="mi">2</span><span class="p">]</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;C3&#39;</span><span class="p">)</span>
+
+<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">axhline</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="n">color</span><span class="o">=</span><span class="s1">&#39;k&#39;</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">([</span><span class="mi">2</span><span class="p">,</span><span class="mi">2500</span><span class="p">])</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">&#39;fractional error&#39;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">13</span><span class="p">);</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="s1">&#39;Default accuracy&#39;</span><span class="p">,</span><span class="s1">&#39;lmax=2500, lens_potential_accuracy=1&#39;</span><span class="p">,</span>
+           <span class="s1">&#39;lmax=4000, lens_potential_accuracy=1&#39;</span><span class="p">,</span><span class="s1">&#39;lmax=4000, lens_potential_accuracy=2&#39;</span><span class="p">]);</span>
+</pre></div>
+
+</div>
+</div>
+</div>
+
+<div class="output_wrapper">
+<div class="output">
+
+
+<div class="output_area">
+
+<div class="prompt"></div>
+
+
+
+
+<div class="output_png output_subarea ">
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OUD40O6MbDvq2h9wi7+hBot14+eS4Z5IKSa+WXDfqbceCMf//nnJX0PRVEUpR4QAjwCHFNQswuXNxdAdjJkH4GsI855EmQeggNLy9be+0VBcEsIbXNm8mtUpocjjdDga/TF1+hb6ZBtdhu55twzSX3xmeQ+y5TFqaJTpBWksS9rH6tTVlNsKy6zv07oCPUMJdw7nAivCCK8Iwj3Cj89BbgFqFr7GqISd6XGvXjHBKxS0ue2OKKblt8e/WL4R/fkkVtXMSU7mX275nA4YwdWu4UGHkHERfUmMPY60F3U61Pn0uqYOOpnDhVdTd5xE9MWLCD+lVe4/bnnXHN8RVEU5fJg8ITgOMd0NpvFkcRn7HFM6XsgfRfsXwIlzWGMPhDSumwyH9wCdMZKh6DVaE+3h78QKSW55lxOFJwgrTCNEwUnOJZ/jNT8VFLzU1mRvILM4swy+7jr3An3ciT14d7hZZL6CO8IPPVVf/FZKZ9q467UqPRDh2gUG0O7MG/+3LyegKCWF96pDjOn7+GeH4aR+MJR9uYXs3rRIroMdN3DiKKcTbVxV5QrgKUI0nfDie3OaRuc2OHoQQccYw0ExZVN5kPbgPuFE3NXKLQUkpqfSkpeyumEPiXfuZyXSqG1sEx5P6PfOUl9yecwzzD02st34C3Vxl2p1/47aQJFdsngW9rU+6QdwBAcxxv9XuTuzOdJez2J4UOHsnnvXkIiIy+8s6IoiqKUR+8O4R0dUwm7HbIOO5L449scCf3BFbD1xzNlfKPKJvIN24FvxCU3ST2bh96DWP9YYv3PfR9ASkm2Kft0Mn86uc9LZfep3Sw7ugyr3Xq6vEAQ4hlyOplv7Nv49BTpHYlOo1LV0lSNu1Jjso+fIDoynJhADxZv20CD4Fa1HZLLbP3jfl74+S8Wfp1EfGQkKw8cQK+/fGsQlNqjatwVRSkjP91ZI7/9zHRyP5S8jOoVAuGdnA8CnSCsQ43VzJfHZreRUZRxOqFPyU8hNc9Ra5+cl0xGUcbpsjqNjijvKJr4NqGxb2Ni/WNpHtCcaO/oevOyrKpxV+qt1yffSq7NzsCxzS+rpB2g3bXvMTFjG5pDJn5ddZQpQ4bwyaJFtR2WoiiKcrnzCoaYAY6phLkA0nbC8a2QmuiY9i44s71BDER1g8Z9oMnVjmPUEK1GS6hnKKGeocRzbj6bZ84jKSeJw7mHOZR9iMM5hzmYc5CVySuxSkdNvbvOnWb+zYgLiDs9xfjF4KarYk9x9ZCqcVdqREFWFtHBwYT5Gli8dSWh4RWPOGqzS7an5pCcWYiXm472EX74e7ropdLqlHuMV77rx+q30llyOIvPX3iBSS+9VNtRKZcZVeOuKMpFKc5xdFGZmggpiXDkbyjOdmwLbgmNr4amfR3zqnaVXAMsNguHcg6xJ3PP6Wlv5l7yLI7uNrVCSxO/JrRu0JrWga1pFdiKZn7Nar39vKuv2SpxV2rEK+NH8fyseUy5szXvf7G93DJ2u2R2QjLvL9vP8ZwzXVEJAQNbhDB1QCytwirf/VVtsOxfzD1/3k/Cf46xN6+IlX/8Sbfrrq3tsJTLiErcFUVxCbvNUSN/eBUcWglHN4C1GPSeEDsA4m6AZoMcfdvXUVJKUvNT2ZO5h92Zu9l1ahc7Tu4g2+R4IDFoDDQPaE6rBq1oE9SG1g1a08i3ERqhucCRXUcl7i6gbgI1y1xYSCN/P3zcdSza/CfRTfqeU6bYYmPqrH9ZtDON+Gh/bukeTfNQb3IKLazcl8EPG4+Sb7IyqWdjHhnUDKOu7rZtO7nsP0xa8wMbX0tCaHVs3rOH0Ojo2g5LuUyoxF1RlGphKYYja2HPn44pPw00eogdCG1GQ/NrHS/N1nElyfyOUzvYeXInO07uYNepXad7uvHUe9KyQUtaN3DUyrcObE2YZ1i19UOvEncXUDeBmvXuPXfwyGdfcfe4Znz6495ztpusNm6bsYkNh0/x7HUtuLNn43P+AeUUWvi/v3Yza1My7SP9+GRCRxr61tELiN3O9lkjeXb5VhbPSKJDeDirDh7EYKgHzX2UOk8l7oqiVDu7HVITYNdvsH0u5J8Agze0uAHajnY0p6knL4eC44XYpNwkdpzcwY6TO9h5aid7MvdgcQ5+5W/0P53ElyT0ge6BLjm3StxdQN0Eao7VYiHG1xutBhYk/ETzuKFltkspeeinLfy25Rjvjm3H8A4R5z3egu3HeXzOVtwNWqbd3IkujQNcGm96XjGJSVkcOlmA2Wqnoa8bXRoH0CTIq2oHMuXzy8y+fD3rGPNXHGNIu3bM3bgRo7HyA2YoSnlU4q4oSo2y2yBpDWybA7vngynX0VNN61HQYQKE1M+unS02C/uy9jmS+VOOhP5QziHs0g5AmGcYHUI60CGoAx1COhDjF3NRTWxU4u4C6iZQc758+nEmvf4Wt93QiK/mHz5n+3cbjvDcrzt4dGAzHux/bn+w5TmQnsfkbxI5mlnIize2YkK3S2uGIqVk5d4Mvl6XxOr9GZT3T6JDlB+PDmxOz9gqPIFnJfHaj4PZPD2beVvTGNiiBb8mJODh4XFJ8SpXNpW4K4pSayxFsG8RbJ/jmNstENEZOt4KrUaAsYqVXHVMoaWQ3Zm72XFyB9sytrE5fTMni04C4G3wpl1QOzoGd6RDcAdaB7auVC82KnF3AXUTqBl2u504Py+KLTZ+Xf0JHTvfUWb7wYx8rv9gDZ0bBTDz9i5oNJVvX5ZTZGHqrH9ZuTeDm7pG8eINrTDoqv4knHgkk9f/2sOmpCwa+roxqlME/eKCiQv1Qa8VpGQVsWxPOjPWHiY1u4hxnSP5zw2tcDdU7idCS0oC9/05gewvcpibcIK2ISHMX7OG6NjKPaQoytlU4q4oSp1QcAq2zYLN30DGHjB4QesR0HGio7/4amozXpOklKTkp/Bv+r9sTtvMlvQtHMw5CDhefO0Y0pFuDbvRPaw7cQFx5dbIq8TdBdRNoGb8+Mb/cdNTz3DzgAi+W3y0zD9iKSVjP9vAvvQ8Fj3UmxCfqnc9ZbNL3lq8l09WHqRzI3+m3dyJIO/KNUU5kJ7HGwv3smRXGkHeRqb2j2Vs50j02vKTf5PVxntL9/PpqoO0jfDjy4nxBHpV7lzFh9fwyMJJZP1SxB/LUtHrdLz93/9y2+OPV9vLMMrlSyXuiqLUKVJCyibYPBN2/AyWQkf3kh1vhbZjwcO1TVprW3ZxNv+m/8s/J/5hw/ENHMg+AICf0Y+uDbvSvWF3eoT1oKFXQ0Al7i6hbgLVT0pJqwAfcgpN/LjwFXr3faLM9t+2pDJ11hb+b0QbxneJuqRz/bYllSfnbcPLqOOpa1swokN4hbX3yZmFTFt5gJ82JeNh0HF37ybc2asxHobKjUW2eOcJpsz6lzA/d2bf3b3Sybvl6AZeWHA7O7dZSPrmGNsLiujWqBEvv/02A4YPVwm8UmkqcVcUpc4qzoUd8xy18Mc2g9boeKG1463QqBdoaq4bxpqSUZjBhuMb2HB8A+uPrT898muMXwy9InrxaPyjKnG/VOomUP1+/vADRk6ZyrheDflhRTJCe6ZpSb7JSr+3VhLq68Yv912FtgpNZCqy+3guz/yynX+PZtOogQej4yPp3CiAQC8D+SYrO4/lsnRXGsv3pqPTCG7uGs2D/WJoUMnEu7R/Dmdy64yNNGrgyU+Tu+PrUbnBHeTJA/wwbzTTrCaivspm2dYMMqxWWgYHc8u4cdz08MNENWpU5XiUK4tK3BVFqRdObIfN3zqa0xTngH8j6HALtL8ZfBrWdnTVQkrJweyD/H3sb9akrCExLZEtE7eoxP1SqZtA9ZJS0j7Qj7S8Qmb++gTXXPdqme3vLNnHB8v288t9PegQ5e+y89rtkj+2H+frvw+z+Wj2Odsb+roxsmMEN3WNIszv0rqSXL0vg0kzE+gU7c83d3apsInNOcyFHFwwhZfTVnE0V0/E7Fy27spke2ERAM2Dg7mmf39uvP12evfpg15fuyO+KXWPStwVRalXLEWw+3dHLXzSGhBaaDkUut0HkRWPon45yDfn4230vvwSdyHEYOB9QAt8IaV8/aztRuAboBNwChgrpUwSQuiBL4COgA74Rkr5fxc6n7oJVK+5b73J6MefYGTPhsxZWba2PavATK//raBXbCCfTOhUbTFk5JnYkZpDdpEZL6OexoGeNA3ydGmTlLmJKTw2Zyu3dIvmv8NaV2lfefQf1ix9jC8sx9mpNRK7wYTnJjO7DmWSWFCARUr83NwY3KsXN99/P9fdcAOay/AnRqXqVOKuKEq9deogJMxw1MSbciA8HrrfBy2H1at+4avismvjLoTQAvuAgUAKsAkYL6XcVarMfUBbKeU9QohxwHAp5VghxE3AjVLKcUIID2AX0EdKmXS+c6qbQPWxWq3EBfhSbLbw7R//oe+AZ8tsf2PhHj5ddZBFD/WmWYh3LUXpOq/+uYvP1xzmlWGtq94tpZRwdD0HN7zPH2mbWOhhIB0drffYCN1oY8+uk6zKziHHbifa149Hp07h3uefR6erXHt85fKkEndFUeo9Uz5s/RE2fAKZByGgKfR6xPEyq/by+qXZ1dfsulCF1wU4IKU8JKU0A7OAoWeVGQrMdC7PBfoLR9WpBDyFEDrAHTADuTUTtlKeT594jIN5hfTvE0qffk+X2XYy38TMdUnc0DbsskjaAZ66tgV9mgfx0u87STySWbWdhYDoHjQd+xNT797Kgq6v8r13KzpFW9h9q4Yjb4Zx/VPNmdKrKb5WM1NefplWoaGsmD+/er6MoiiKotQEoxd0uQseSIAx34LBE367Hz7s6KiRt5pqO8I6qy4k7uFAcqnPKc515ZaRUlqBHKABjiS+ADgOHAXeklKWmz0JISYLIRKEEAkZGRmu/QYKAHmZmbzy8TSaebkx5eVnEGc17fhs1UGKLTamDrh8+jDXagTvj+1AmJ8793y3mfTc4os7kNEb0WYkcWN/Ysq9O5l/9QfM8+9CzzAbKRO0GN5qxG39oynMzaX/0KE8Nn48VqvVtV9GURRFUWqSRgMtb4S7V8NNcxwjsv7xMLzfHjZ+BlZzbUdY59SFxL28Rsdnt9+pqEwXwAaEAY2BR4UQTco7iZRyupQyXkoZHxQUdCnxKhV4ZMQNpJktDBrTiE5d7imzLT23mG/WH2FYh3CaBtXvkdXO5uuh57NbOpFfbOXe7zdjttov7YA6IzQbRNPhM7j3nh3M6/EaM7R+aEfpaf5iUwaHBfD2rFlc06YNuTk5rvkSilIJQogAIcQSIcR+57zct8uFEBOdZfYLISaWWr9SCLFXCLHFOQXXXPSKotRZQkCzQXDnErj1NwhoAn89AdO6wZ4FlDuk+RWqLiTuKUBkqc8RwLGKyjibxfgCmcBNwEIppUVKmQ78DVxRbT/rioS//uKrVevoE+nLsy/PPGf7tJUHsdolU/pdPrXtpcWF+vDm6LYkHsni5T92uu7AWj20HkmbSWv5vPurPOQDeS+GMKFTQ1bt2UOP2FjSjx933fkU5fyeApZJKWOBZc7PZQghAoD/AF1xVK7856wE/2YpZXvnlF4TQSuKUk8IAU36wO1/ws1zQaODWePhmxshfXdtR1cn1IXEfRMQK4RoLIQwAOOAsxvxzgdKam1GAcul463ao0A/4eAJdAP21FDcipOpuJhbxo/BR6tl1JO9CQ3vUmb78Zwifth4lFEdI2gU6FlLUVa/IW3DuLt3E77bcJTZCckX3qEqhEC0G8OQO/5mtlcriu/yZsy1URw4eZK+bdtyKi3NtedTlPKVft9oJjCsnDLXAEuklJlSyixgCTC4huJTFOVyETsQ7v0brn0Tjm+DT3vCkhfAXFDbkdWqWk/cnW3WHwAWAbuB2VLKnUKIl4UQNzqLfQk0EEIcAB7hTC3Px4AXsAPHA8BXUsptNfoFFB68bhB7cvK5/towJt/14znbP15xAInkgX4xtRBdzXr8muZcFdOA537dwdbkc/uSv2QeATQcN5uZsbfSYIiOoddHsv/UKfq1a6eazSg1IURKeRzAOS+vqcuF3lv6ytlM5nmhhgxWFOV8tHroOhkeTIS24+Dv9+Hjro7mM1eoWk/cAaSUC6SUzaSUTaWUrzrXvSClnO9cLpZSjpZSxkgpu0gpDznX5zvXt5J20o8RAAAgAElEQVRStpRSvlmb3+NK9MP/vcbnK9bQr5EfL779CXpD2Rr15MxCftqUzJj4SCIDPGopypqj02r4cHxHgryM3PNdIifzq+HNeCHw6Pcs73R9gYbX6hgxKIIdaWmM6tEDm83m+vMpVxQhxFIhxI5yprN7+6rwEOWsK2mgerOUsg3Qyzndcp44VIcCiqI4eAbCsI/h9r/A4OVoPvPjTZDt4l+364E6kbgr9dO6X3/jzmefo7mXG3e/MZamza4/p8yHy/cjhLgiattLBHga+OyWTmQWmHngh81YbZf4smoF9J0m8mbX5wm6Qc/IjiEs2bWLKUMrm1spSvmklAOklK3LmX4D0oQQDQGc8/LaqFf43pKUMtU5zwN+wNEGvqI4VIcCiqKUFd0D7lkDA16CQyvg4y7wz+dgr577bF2kEnfloqz9/XeGjB6Jn17LzU91YMzoT84pc/hkAfM2p3Jz1yga+rrXQpS1p3W4L/83og0bDmXy2oLqe+1C3+k2/tfxYXR3+TA42p9pf/7J9JdfrrbzKVe80u8bTQR+K6fMImCQEMLf+VLqIGCREEInhAgEcI56PQRHM0dFUZTK0+qh50Nw/0aI6g4LHoPvRkBOam1HViNU4q5U2ZzPPmPgsKF4ajSMnhrHU48vcbwJfpb3l+5DrxXc26dpLURZ+0Z0jOC2Ho2Y8fdhPl5xoNrO4979AT6IuBbjQ8F08PFgyksvkbh6dbWdT7mivQ4MFELsxzHa9esAQoh4IcQXAM6xNP6L472jTcDLznVGHAn8NmALkAp8XvNfQVGUy4JfFEyYB0PeheSNMK07bJt92XcdqRJ3pUreefIpxt5zD03cjIx+rBlvvbT6nHbtAPvT8vht6zEm9mhEsLdbLURaNzw/pCXD2ofx5qK9fLR8P7KaLiiB177NGw1iCHsgHB+NhlFDhpCdWcWRXBXlAqSUp6SU/aWUsc55pnN9gpRyUqlyM5zvJMVIKb9yriuQUnaSUrZ1vpc0VUqpXspQFOXiCQHxd8A9ayE4Dn6+C+ZMhIJTtR1ZtVGJu1IpdrudB0eO4NH/vUEPfy9GvNiW159bi8G93PFXeP2vPXgadNzd+8qsbS+h1QjeHtOe4R3CeWvxPp75ZfulD9BU7ol0NB/9PXeHu9FrRDjJeXnc0rdvtT0oKIqiKEqd0aCp48XVAS86epyZ1g32LqztqKpFpRN3IYS5kpPqk+4yU1RYyLCO7fno51+4NtyPsf+7ipceWYvB3a/c8qv3ZbBsTzoP9oshwNNQw9HWPVqN4O3R7bivT1N+/CeZ8Z9v4PDJauiH1s2XG4Z9Q4deWm5oG8wf27bx5tSprj+PoiiKotQ1Gi30fBgmrwSvYPhxLMx/EEz5tR2ZS1Wlxt2Ko03j+aZBrg5QqV2Zx4/Tu2ljft+6neFtgpn86S08eOdfaLT6cstbbXZe+XMXUQEe3HZVo5oNtg7TaARPDI7jw/Ed2JeWx7Xvr+aDZfvJN1lde6Kw9jzR5Uk87/KhW4AXz370Eev+/NO151AURVGUuiq0Ndy13JHEb/4WpveBE9trOyqXqUrivkZKueoC00rg72qKValhxw4dokeLZmw5kc6o/mG88M3rDBvyQbkvopb4dsMR9qXl88x1cRh12hqMtn64oV0YSx+5mj7NgnlnyT56vbGcNxbucWkNvKHzXbwR0g3/qWEE63SMGTOGUydOuOz4iqIoilKn6YyOZjMT54M5Hz7v7+g28jJoPiquxDaw8fHxMiEhobbDqNPSkpLo3rolxwuLGTEiirffn0NoeOfz7pOcWcg1762mc6MAvr69M2pQxPPbkpzNR8sPsHxPGnYJrcN96B8XQv8WwbQO80WjuYS/nymPFTN6897GHBbMPEy/uDgW7tql/ptcBoQQiVLK+NqOoybVxjX7VL6Jbak5nMgpptBsw9OgJcLfg7iG3gR6GWs0FkVRLkHBSfj1Xti/GOKGwI0fgkdAjZ3e1ddsnasOpFw+CnJyGNSpPccKixl/UyPe+3AZvv6Nz7uPlJJnftmOAF4b0UYliJXQPtKPLybGk5ZbzC//prJ0VxofLt/P+8v2E+rjxuDWoVzTKpTOjfzRaav4HrnRm77Dv2GzdShiRwi/Je7h1cmTee5z1fueolTkRE4xP/+bwvwtx9hzIq/Cci0b+jCoVQij4yMJ97uyxqhQlHrHMxDG/wQbP4El/4FPe8HILyC6e21HdlEuWOMuhGgEvAxYgLeklLud69+XUtbLN99UjXvFpJQMiWvKwn2HGT8kks++34CnT9gF95u++iCvLdjDK8NaM6FbdA1EennKLDCzYk86i3edYNW+DIotdkJ93LilezQ3d43Cz6NqL/ta/pnOnZve5OBLaWzMyGPp3Ln0GTmymqJXaoKqcXe9o6cKmbbyAPM2p2CxSeKj/enfIoSOUX5EBnjgYdBSYLZx5GQBW1KyWbkng01HMhFA/xYhPNgvhrYR5b+sryhKHZK6GebeAdlHoM8z0OsRx0ut1cjV1+zKJO5LgbcBM47BNl6WUv4uhFghpezrqkBqkkrcK/bO/ZN5dNrnDGkfxFcLlxEY0uaC+/xzOJPxn2/gmlYhfHxTR1Xb7iKFZisr92bww8ajrD1wEm83HVP7x3Jr90YYdJWsgZeSE7Nv4o6DiWx/KQmLRsu2AwcIDg+v3uCVaqMSd9cpMtv4eMUBpq8+BALGdY7kzp6NiW5w7tgUZ0vJKuTHf47y/cajZBdaGNAihIcHxtIqzNflcSqK4kLFufDHw7BjLjTqBaNmOHqhqSa1kbivlFL2cS57ArOBecAEKWU/VwVSk1TiXr79mzbRtltXmvu4882yz2nb8aYL7nMgPY9Rn67H38PA/Aeuwtut/N5mlEuz+3gu//fXHlbvy6BVmA8fjO9A0yCvyu1cnMPaL3vx+uZ8Fn+VRM8mTVi6bx8ajRrGoT5SibtrLN2Vxou/7yQlq4jhHcJ56to4QnyqPlhcXrGFmeuSmL76ELnFVq5v25CHBzQjJriS/z4VRal5UsKW7+HPx8DdH8Z9B+GdquVUrr5mV+bOrXMm7EgpC4BhwHXAFXXjuBJMGjEEJNz5dN9KJe1HThVwy5f/oNNo+Pr2zippr0YtGvow8/bOfDqhE8eyixjywVr+3Ha8cju7+dJz2NcMamfn2q4hrDh4kBcnTqzegBWljjqRU8w93yYy6ZsEPAxaZk3uxrtj219U0g7g7abngX6xrHmyHw/2i2HFnnQGvbuKx+ZsJTmz0MXRK4riEkJAhwlw52LQ6GDGtbDlx9qOqlIqU+PeEUiVUqYJIXyllDlCCA0wWkr501lle0op11ZjvC6hatzP9cMb/+Xmp15gWHwwc9cdRas/f68JW5OzuePrTdil5PtJ3WgZ5lNDkSppucXc//1mEo5k8ex1LZjUq3GlmidZ13/M5M3vcuC/GfydlsucTz9lxN1310DEiiupGveLY7ba+X7jEd5evA+Lzc7UAbHc1asJ+qq++H0Bp/JNfLLyIN9sOIKUkhvbhTOuSyTx0f6VbkZYZLaRnFVISlYhyZlFpOUWY7LasdjseBp1+HvoiQrwoHmoD1EBHmgvpQcqRbnSFZyCORMhaQ10uw8GveLSdu813lTmrJOvAgZKKc3lbOsMLJFS1vk3dFTiXpbVaqWZrzdWu51fVkyjU7c7KywrpeSb9Ud4bcFugryNzLyjS+WbbCguU2yx8cjsLSzYfoKHBzRj6oDYC+8kJRk/juG2lG0cfukoScVmli9aRLcBA6o/YMVlVOJeNcUWG/O3HuPD5ftJziyiV2wgrwxrXal27JfieE4R01Yc5OfNKRSYbTT0daNH00DaRfoSGeCBl1GHwPFCenqeiaSTBRzIyOdAej6p2UVlupvWagTuei06raDAZMViO7PR113PVTEN6B0bxDWtQvFXo1UrStXZrLD4Wdj4KcRe4+h1xs01FZK1nbivBtKklKPPWt8GWAF8IKV82VXBVReVuJf14dTJTPngc+6+IYZP5++vsFxabjGPzdnKmv0n6dM8iDdHtSPIW/VnXFvsdskT87YxNzGFJwfHcW+fphfeqTCTf77szcvHrPz79iHMGg0bEhNp2qpV9QesuMT5bgJCCC3QCfhXSmmp2ciqT1Wv2cUWGwlJWSzdncavW1LJLrTQKsyHx69pztXNgmr0BfoCk5UF24+zYm866w6eIruw/P8sBp2GJoGexAR7ERPsReNATyIDPIjwdyfIy3g6ZikleSYrhzMK2Hsij01JmazZf5ITucXoNII+zYMZ3iGc/i2CcdOrQfAUpUo2fQkLHoeg5jB+Fvhfei95tZ24+wOrgeUlXUEKIZoBq4BvpZRPuCqw6qQS9zMsZjNN/bzRC8HyHYuJbty73HILth/nmV+2U2yx8dz1Lbm5a5TqPaYOsNklD/20hd+3HuN/o9oyJj7ywjulJPDV3FH8tkfHis8P4+fpyZp//yWqaSUSf6XWXegmIIQoALzkZTS6XnnX7CKzjQPp+RzIyOPIKUeTkuSsQpIzCzmRW4yUjmR4QItgJnSNpnvTBrV+zZJSkpFnIjmrkEKzDSnB38NAoLeBYG+3i27yIqVk57Fc5m89xm9bUknLNeHjpuPG9mGM7BhB+0i/Wv/uilJvHFwBsyeCzgDjfoDILpd0uFodgElKmSWEuA74WwhxDPgRWAr8XF+SdqWsL56eSnKRmfuHNys3aS8wWXlx/k7mJKbQLsKXd8e2p4lqGlNnaDWCd8a0I7vQzLO/bCcqwINuTRqcf6eIeG7r9ybHNY9jGBvNXz8doVeHjqzenEh0TEzNBK5Up11ANJBUy3G4XFaBmSW701i04wRr9p/EbLMDjvfMQrzdiAxwp3vTBkT6e9Am3JceMQ3wMNSdcQaFEAT7uBF8kS/Cnu+4rcN9aR3uy5OD41h38CTzElOYm5jCdxuO0jTIk5GdIhjeIZyGvq4ZMKrkuVA9ECiXnaZ9YdJS+GEMfD0Ehn4MbUdfeL8aUqUa99M7CdEKR827GVgopbzd1YFVJ1XjfkYbfy+yisz8vWsJ0U2uLrNtf1oek79NJOlUAff3iWHqgFiXv8iluEZOkYWRn6wjI8/Er/dfRePAC7ffta16g8d3Tuf4askfc47g5+HB4rVradGuXQ1ErFysStS4TwHuAN4EjgD2km1SynXVH6HrRTRrLXs8+jkJSZnYJYT7uXNNq1DiG/nTLMSLCH8P1SykHHnFFhZsP87cxBQ2JWUBjh6qejRtQLtIP5oEetLQ1w0Pgw6tRlBotpJvspKWa+JYdhHHc4o4ll1MWm7JZCIjz3T6gUkjIMDTSKCXgZhgL1o09KFjlD+dov0rP9aEotRVhZnw0wQ48jdc/ST0edpRS1BFtd1U5plSH7sDPYF3AFvJSinla64KrrqoxN1h2XczGHDLndzcM4Lv1iSX2bbh0Ckmf5OAQaflw/Ed6N70ArW4Sq07eqqQoR+vJcjbyK/3X3XhmkYpMc2/n0eOLSZ9rZ0VPx3FqtHyy9w59L3xxpoJWqmySiTu9go2SSllvcxu3RrGyr5PzaB/XDCDW4fSKsxH1fRW0ZFTBfyx7TjrDp4kISkLk7Wi/03K8jbqCPV1I8THjWBvI0HeRox6LRoBFpudzAIzabkm9qXlkZJVBICnQUuPmECGtg9jQIsQ9VCl1F9Ws2Owpi3fQZfJMPgNqOIYKLWduK+4QBFZHwZlUom7w8AmoWw4ksFfC9+m58CHTq/flJTJhC82EhngwVe3dSYywKMWo1SqYvW+DCZ+9Q/D24fz9ph2F05u7DYsv9zNY2krSN2hIXHGUVLNFt567jkefOkllRzVQVdirzKd4uNlorpmu0yxxcbhkwUcyijgZL6JQrMNq7OrSU+jlmBvN8L83Gno54ZPFcbnyCmysOHQKdbsz2DJrjTSck14G3Vc37Yho+Mj6Ril2tor9ZCUsPg5WP8RdLwVhrxXpe4iazVxv1yoxB3SDh4kMjaWvjH+LNyTgXA+Qe5Py2PEJ+sI8jIy+57uBHqpXmPqm/eW7uO9pft5bXgbbuoadeEdbFYsP0/ihfTVJGYYyH/vGOtz8hjerRtfLVyIr68awr0uqcpNQAgRKKU8Wd0xVTd1za5/bHbJ+oOn+PnfFP7afoIii42YYC/GxkcyvGO4urco9YuUsOJVWP0mtB0LQ6eBtnLvz9TGyKnKZejdR+/EIiVDb+l7OmkvNFu59/vNGHUavrmzi7qw1lMP9oulV2wgL87fyfaUnAvvoNWhH/EFr0XdyEi/AnglkltbRDB/wwbaREay+Ndfqz9oxWWEEG5CiI+cvcukCSEKhBAfCiFc+0akopyHViPoGRvIO2Pas+m5Abw+og0+bjpeXbCbbq8t4+5vE1i+Jw2rrXJNdhSlVgkB/Z6Dfs/Dtp9g3h2OZjS1EcpFvpz6EbAZSAR2SCltQggd0FlKud7FMbqcqr2BZt6OngX+PX4ET69gAJ6cu43Zicl8e0dXesYG1mZ4yiXKLDBz/Qdr0GkFfzzYC1/3SvzcLSWsfYcl69/kP0FBxP1pYvnvRzhiNnPbNYN576dZqva9DqhEG/d3gauA54CDQFPgZWC9lPLhmonStdQ1+/KxPy2P2QnJ/Lw5lVMFZkJ8jIzqFMGIjhE0CfRUTWmUum/9x7DoGWh2LYz+GvTnrxOpE01lhBAfAPFAOxy19tuBPcD1Uso6/xbjlX4TWD37O64eewsTr47m65VJAKw7cJKbvtjIvX2a8uTguNoNUHGJxCNZjP1sPf3igvnslk6VvyHu/p2U3x/gSX9PTmZAwOfZzE46ToinJ5999hk33Hxz9QaunFclEvcjQDcp5fFS68KADVLKSrSdqnuu9Gv25chstbN8TzqzE5JZuTcdu4QQHyNdGjcgLtSbpkGeRPh74O9pwM9dj4dBq5J6pe7Y9AX8+Sg07QdjvwdDxe8C1onEvVQwWqAlMBh4CvhUSvmsi2KrNlf6TWB0uyb8tj2JRfPfoO+QxzFZbVz73hpsUrLood6qB4DLyBdrDvHKn7t57voWTOrVpPI7njqIZfYtTDel8KWvL/ELrSz/7TAHTSbG9erFR7/8QoMGdf4Z/bJUicQ9A4iUUhaXWucOHJVSBtVEjK52pV+zL3cncopZujuNfw5nkpCUybGc4nPKaDUCD70WD6MWD4MOd70WT6MWd4MOT4MWd4MWHze9s1tKb1o09KlTffgrl6F/v4PfHoDGveGm2RXWvNepxL3MgYS4GrhHSjneJQesRlfyTcBqNhPi6UGzQA/WpWQhtNrTyd3MO7pwdbN6eV9XKiCl5J7vElm2O52f7u5Gp+iAyu9sKYLlr7A3cTovhISSlm0jfHoes/el4OfmxrQPPmT0XZOqL3ilXJVI3H8FjgGPSCmLnW3b38aRzNfLfj6v5Gv2lSjfZCXpZAEpWYXkFFnILrSQW2yh0GyjyGyjwGyjyGylwGSj0GKj0GSl0Gwju9BMgdnRO7VBq6FjtB+9mwUxpE0YUQ1U72hKNdg6C365G+KGwOiZ5b6wWpcTdw2QLqWs842jr+SbwC/vvsyIR/7DQyPb8e7cLeQVW+j9vxW0Dvfl2zu71nZ4SjXIKbJww4drMVvt/DmlJw2q+tLxkXVYf72Hb+xZTPP3p81yCxvnHmF3URFDu3bls19/JSQ0tHqCV85RicQ9GvgDiAHSgWDgADBESnmkZqJ0rSv5mq1UnpSS1Owi9hzPY1NSJmv2n2TX8VwA4qP9GRMfyY3tw9SvyoprbfgUFj4J7SfA0I/OGaSpTvQqI4TYIoSYLoS4SwjRwflial9gv6sCU6rHrK9noAMmPuYYS2vG2iSyCi08Nqh57QamVBtfdz3Tbu5IZqGZh2dvxW6v4sN6dA9096zjjthRzElNxdLHQOCrjbm9RRQL/vmHNk2asPz336sneKXKnMl5e6Af8Lhz3t4VSbsQIkAIsUQIsd8596+g3EIhRLYQ4o+z1jcWQmx07v+TEMJwqTEpSgkhBBH+HgxoGcLT17VgwdRe/P1UP54Y3JzsIgtPzNvGVa8v550l+0jPO7c5jqJclG73wNVPOQZpWvyco6OHanSx3UG+BeQC44ClgAlYDJwSQjwohOgjhKjzNe9XGrvdzt97j9Em0JP2XUeTb7LyxdpDDGwZQrtIv9oOT6lGrcN9+c8NLVm9L4OPVhyo+gGMXjDkXRqP/YmZWWbuII+tT/gycUILPG02Bt54Iy898CB2u+rarTYJIXRCiO2AXkq5Xko52zm3XXDnynkKWCaljAWWOT+X503glnLWvwG869w/C7jTRXEpSrnC/dy5r08MSx7uzQ+TutIhyo8Pl++n5+srePrnbRzKyK/tEJXLQZ+nHCOrrv8I/n6vWk91UYm7lPI7KeVjUsr+zl5kmgAjgQRgAPANkOa6MBVXWDt7JqkmC507hYMQzElIJq/Yyn19mtZ2aEoNuKlLFMPah/Hu0n38feAix+SJGYD2vnXcFn0tc1JTKeirJ+7ZJvQPDODFjz9iWPfuFBUVuTZwpdKklFbAD6iuKp+hwEzn8kxgWAVxLAPySq8Tji5B+gFzL7S/oriaEIIeMYF8MbEzyx65mtHxEczbnEr/d1Zxz7eJ/Hs0q7ZDVOozIWDwG9B6FCx9ERK/rrZTuWQAJinlESnlr1LKF6WUQ51djqm3HOuYmR++iQDG3jsZm10y4+/DdIr2p0NUub92K5cZIQSvDm9DTJAX932/mYMXW9Pk7g8jPqPJ8K+YmZFLnwZWsv4bym2tI/njn3/o2bw5aSdOuDZ4pSreB151NmF0tZCSbiad8+Aq7NsAyHY+XACkAOEujk9RLqhJkBevDm/D30/24/4+Maw7eJLh09Yx5rP1LN+TxpU4orziAhoNDPsEYgbCHw/DrvnVc5rKFnT+/FqZclsApJSZVTj2YCHEXiHEASHEOT+9CiGMzvaQB5ztIxuV2tZWCLFeCLFTCLFdjQ5YsTXbDhPn606fIVNZtPMEyZlF3NWrcW2HpdQgT6OOLyd2RqcR3P7VJk7lmy7+YC1vRH/3Gp40RPFq7il2PxrA5D5N2JWSQpfmzdm/a5frAleq4m5gKpDjvGbuK5kqs7MQYqkQYkc509BLjKu8TrgrzJCEEJOFEAlCiISMjIxLPLWinCvI28hj1zRn3dP9eX5IS1IyC7nj6wQGv7eGeYkpmK2q6Z9SRToDjJkJ4fEw7044tMrlp6h0rzJCiCLgDsq/+JY2TUpZ6QbTzr7g9wEDcdTAbALGSyl3lSpzH9BWSnmPEGIcMFxKOdZZo7QZuEVKuVUIUVKjc972nFdiDwU7Vi2hTZ9B3Nwjiu/+PsL46RtIyS5k5WN90WrUoBZXmn+PZjFu+gZahfnw/aRuuBsuoZcFqwkWPsXerd9yX3gEjRYUMm/eQdzc3Fixbh0t2rVzXeBKZXqVmVjRNinlzIq2VfLce4E+UsrjQoiGwEopZblvtgsh+gCPSSmHOD8LIAMIlVJahRDdgRellNdc6LxX4jVbqXkWm53ftx7js1WH2JuWR0NfN27pHq26k1SqrjATvr4eso8inj3m0l5lqvJTahrwWiXKVfU38i7AASnlIQAhxCwc7ShLV9cNBV50Ls8FPnLeBAYB26SUWwGklKeqeO4rxozXnwNg6MSRHDlVwPpDp3hsUDOVtF+hOkT5897Y9tz3w2Ymf5vA57fGX3wXaTojDHmX5sEt+WHRU9x/XRTXuzVm0Q9J9O7WjWWrVtG2SxfXfgGlXM7KjBDgg9IDMLnQfGAi8Lpz/ltld5RSSiHECmAUMKuq+ytKddNrNYzoGMHwDuGs3JfBZ6sO8r+Fe/nfwr20bOhDv7hgujYJoGOUP55GNbiTch4eATDhZ5gxCMewGq7jsn7cLzoAIUYBg6WUk5yfbwG6SikfKFVmh7NMivPzQaArMAHohKOdZRAwS0r5vwrOMxmYDBAVFdXpyJF62Z3xRWsf4EWOycq+rFO8tyKZT1YeZN1T/Qn1VS2LrmRzE1N4fO5WescGMf3WThh1l9i/8e7fyf/5Lu4PDca8rojl3yRh0WhYuXYtbTt3dk3QV7hK1LhnV+VXzyqeuwEwG4gCjgKjpZSZQoh4HAPwlVzH1wBxgBdwCrhTSrlICNEER9IeAPwLTJBSXrC9lqpxV2pLcmYhi3ae4K8dJ9iSnI3NLtFqBDFBXjQP9SauoTdxoY6RWkN93BBCVYYppZw8gAiKrbUa9+pSmXaPFZXRAT2BzkAhsMx5U1t2TmEppwPTwXETuKSI65mUXTvYnlXA0PahCK07cxJS6NM8WCXtCqM6RWCz23ly3nbu+HoTn0zohI+b/uIP2OIGvCb8wic/jGZKd3+u1jdi5ZdJDLj6atZu2kSzVq1cF7xSkRVCiKullC5vXOn8VbN/OesTgEmlPveqYP9DOH5lVZR6ITLAg0m9mjCpVxPyTVY2H8n6f/buOyyK62vg+PcIKIIiAnZUVMBCFQF774k19l5ijeWnJqaYoqZHjSV2YzdYYos1auy9994Liopibwjc949dfY1RYZfFBbyf55ln28ydM4nM3r1z5lx2nY/i6JW77Llwi8UH/n801dnBjiI5nChsXEI8MpPHxUF35t9lbp4WbzI5dNzDgdwvvHbnv9cVnq0TbrwUnAmIMr6/QSl1A0BElgNBGOoLa0YTv/uYOKBGg0psOBnJ9XtPaBKSO97ttHdDk5A82KZJw2fzD9J43DamtgtN3I+6vCVxaLmQUX98QK9gZypG5+Wf6eepVKIEW/btI6+n5U9k2r+cBxaJyDzj8+d32CmlEpLuqGnaK2RIZ0s57yyU8/7/onl3Hz/lxNV7HI+4y9GIuxyNuMcf2y/wxHhjq3vm9JTxdKOmXw5KF3DF1sYixfy0d5hZqTIiclgp5WuRAAwd8ZMYRnEuY7g5tblS6sgL63QD/F64OfUDpVRj46x9azJi/osAACAASURBVDCMukcDKzBM7rHsTft81y67lsrhzNmoB5yOvMQniy6z+0IU276ojJ0+gWgv2Hgykq5/7CGDvS2jmgcR4uGSuAbD9/BkRn26ZcnEo7UPWTLnPG5OTmw5dIgc7u6WCfodlIBUmXWv+UgppSolUVhJ6l07Z2spW0xsHGdvPGD72ZtsPnWDbWducu9JDG4Z0lEvMCdtSnmQ20Xf7PquiO+cbXJ7ZnbcY4GtGHIUny3HgIlKqVfNlhdfe+8BwwEbYLJS6gcR+RbYrZRabCzxOAMoimGkvekLN7O2BL7AkDqzXCn1aXz7e5e+BO5cvUrWnDmp5O3CvANXCfruH5qG5GZgXYv87tJSmWMRd+n6xx4u3XrEp9UL0qlc/sRd5g3fw8PptemUPQs2y+4zd+E58rq5senIEdyy6KkezGHpL4GU4F06Z2upz+Onsaw/Eclf+y6z+tg14pSipm8OulX0pEhOJ2uHpyUxS5+zzU2VeYLhBqNiQG+gMIaa8GZNPaaUWg4sf+m9b154/hho9Jpt/wD+MGe/74Ip3/chWikq1ghmzfHrPImJ433/nNYOS0umCudwYnGPMnw27yA//X2cTadu8HMDP9wzmzk65F4Mh6YzGTOzMR/WzkXTxx6E/X2eqkWLsv7IETJlymTZA9CA52V2iwO5lVJzRMQBw4i7ntZW094yezsbavhmp4ZvdiLuPGLa1guE7bjA8sMR1A3ISZ+qBXW5SS3BzB1xv6uUcnrhtT1QELirlDpnwfiSxLs0elPVIwu7wm9x4uIB+q95zN6Lt9j+RWXS6DKQ2hsopQjbcZGflh9DROj3XmGaheY2f/T96GJuzm9H29x5yDbjNtPWnickfwFWHzqIg4P+wjJFAlJlCgBLgRyArVIqg4jUAxoqpVq+rTgt6V06Z2vvhjuPnjJuwxmmbDlHbJyiY9n89Kjklbg5NbRkydIj7hZJclZKPVZKHUgJnfZ3SfTDh+wIjyLQPSMZXAuy7sR13vPLoTvtWrxEhJYl8rKiVzn83TPRb+EhWk3ayaWoh+Y1WKQOru8P4/dLF7jUOjNtSuVh+9kz1A4N5cmTRMzeqr3KSP6/5OJT43vrgVdWetE07e3LlN6Oz2oUYkPfitQJyMWY9WeoOmwDa45ds3ZoWjJnbsc9g4jcEZENIjJcRNqIiL/xRlMtmZg9+CvuxcZRulyh52ky7/nlsHZYWgqS28WBsA7F+b6eL/sv3ab68I1M23qeuDgzKqoGtSZ7pf78fukCZzu60r5YHtYeOULDsmWJiYmxfPDvrlDgB6VUHMbSukqp20CS1HbXNM182Zzs+bVxAHM6lSC9nQ0fTttN5xm7uXonKeZP01IDczvu4UBNDBNxZAB6AjuB+xaKS7OABbP/xF6Etp99y7KDV8iaMR3BeTNbOywthXk2+r6ydzmCPVzov/gITSZs42ykGX/upf9HntCPGH/5Iqe6u9LGNxdLd+2iVdWqxMXFxb+9lhB3eamTLiI5Mcx+rWlaMlQ8vyvLepbl0xoFWX8ikipDNzBjm5mDJFqqZlbHXSmVRym1VSk1WinVQSlVDEMHvrhlw9PMFRsby9Yz1wjIloEcnhVZfyJSp8loiZLLOT3T2oUwpFEAJ67eo+aITUzYeIZYU79Yqn6Ll08TRl+5xOk+WWjulYPZ69fTuV49rD2TcyqxAJgsIu7wfLbT4RjSZzRNS6bS2qbhowqerOpdjsDczny96AgNxm3l+NW71g5NS0YsVshbKRWjlDpgqfa0xFk5aQSRT2MIDfVgzbFrxmoyOk1GSxwRoWExd1b3KU857yz8uPw4Dcdt5fJtE4qViEDtEfjmq8qwa1c41zcLjTyyMnHJEnq3aKE774n3NYarnxcxjLxfx1AJTE++pGkpQF5XR2Z8GMqwJgFcuPmQWr9tZvDK4zx+Gmvt0LRkwKSOu4hkFpG/ROSWMb894KXP9c/CZCJswhhsgJa9erP8UATZnNJRLI9Ok9EsI6uTPRNaFeO3ZkU5fe0+tX7bxIaTkQlvwMYWGk4iJFswP9+OJPzzrNTJ5caIWbP4qGFDnTaTCEqpR0qp5kAWDPnu2ZVSrYxldTVNSwFEhPpFDYMkdQNzMXrdGWoM38iW0zesHZpmZaaOuP8CpAVaAHuAjSJS7oXPdR5GMrH56CV8XBwoXKIF609EUtNXp8loliUi1AnIyeIeZcjmZE/bKTsZueZUwkfM7dJDs5mUy5ifbx7cJbJfNhrmyca4BQtoU6MGsbF6dCkxlFI3lVK7lVIm/KLSNC05cXFMy6+NAwjrYMhEbjFxBx//eYCoB9FWjkyzFlM77u8BrZRSy5VSfYD2wAIRKWH8XF/jTgZ2LJnLxUfRhATkZO2JSJ0moyWpfG6OLPyoNPUCc/HrPyfpO+8gT2MTOGJunwlaLqCGrQt9nz7mwhdutPTMyR///EPDsmV1qUhN0zSgtKcbK3qVo1vFAizaf5nyg9cxau0pHjzRFbneNaZ23DMCt5+9UErNB7oCS0WkmCUD08w3Zeh3ADTs1EqnyWhvRfq0NgxtHMD/Knsxb0847abs4u7jp/FvCJAhK7RaSP2nNnwdE8vJz1xpXyQ3f23bRgVfXyIj9YCxpmmavZ0NfasXYvn/ylI8nytDVp2k/OB1TNlyjkfR+grlu8LUjvslwPfFN5RSc4G+wEognYXi0hJhw97TeGe0p2TtT1in02S0t0RE6F3Vm0EN/dl+9iYtJ+7gzsMEdt4ze0CrhdR+GM2PD6M5+HFmupfyZO+ZM4R6e3P04MEkjV3TNC2l8M6WkYltgpnftRSeWTMwcMlRSv28hqGrThB5T1+lTO1M7bgvBRq9/KZSagrwLWBniaA0853ctYXjdx8RVMiN9aduER0TRy2dJqO9RY2DczO+VTGOR9yj2e/bE56Lma0ItF1G5eg4ht19yI4uTnSqX5h79+5RIjiYRTNnJm3gmqZpKUixvJmZ1bEEc7uUJNjDhZHrTlP6l7V8Pv8gJ6/ds3Z4WhIRU0qviUiIUmpXEsbzVgQHB6vdu3dbO4wk8UntUvy6dBuzfuvG2kxtORh+h62fV9Ij7tpbt+FkJJ2m78bD1ZGwjsVxy5DAC3I3TsO02hzlCT1y5SL3plvsnHyGY48f06tVKwZNmoSd3bs7RiAie5RSwS+9NyEh2yqlOiVNVEkrNZ+zNc1SzkTeZ+KmcyzYG86TmDjKeWfhwzL5KOflhojuA1jLq87ZiWHqiPtMEbkkIqNEpIqI2FgqEM0yVm89SN70aanW5jvWn4ykpl923WnXrKK8dxamtA3hYtRDWk7cwe2HCRx5d/OEdssoYpOBsHNnuF8hJ/m+LkCDnNkYPmMGZYsU4eKFC0kbfMpjl8BF07RUqkCWDPz0gR/bvqjMJ9W8ORZxlzaTd1Jt2EZm77yo68CnEiZ13JVSXkBN4CqG0pDXRWSGiDQQEYekCFBLuPDjRzgU9YBi3i5sOvuQ6Jg43vfTaTKa9ZTydGNim2DORj6gzZRd3E9oBQSX/NBhNdldvZl+bDcFC3lxsb8bH5csxMEzZ/Dz9mbamDF6siYjpVS7hCzWjlPTtKTn4piW7pW82PxZRX5tFICdTRo+X3CIUj+vZeiqE1y/p6d0SMlMnjlVKXVYKfW9UqoYEAjsBLoBV0VksYi0FxEXSweqxW98/57EAe81rsKygxFkd7InSFeT0aystKcbo1sEcfjyHT6cuivhoz4ZskLbZTh4VuXXg2v5n6sPazqno+OHgeS3taVtt27UK1OGGzf0hCSapmkvS2drQ4Ni7izrWYZZHUsQlCczI9edpszP6/jqr0PcuK9vZE2JTO64v0gpdUkpNVIpVQnwAOYDtTHUd9feslXrd5MjrR21Ow/SaTJaslK1SDaGNg5g5/kouvyxh+iYBNZ5T+sITcKQEh/R4tAKpsa6cLSqM1m/y0+3Qvn5e9s2iuTNy1+zZiXtAaQgIpJFRMJE5KqIxL64WDs2TdPePhGhZAFXJrYJZu3HFWgU7M6snZeoMHg9Y9ef0Sk0KUyiOu4vUkpFKaWmKaXqK6WGWKpdLWFuXrrE3ut3KVbAma0X43SajJbs1A3MxY/1/Vh/IpJec/YRk9BJmmxsocZP0GASAVeOMv/SZYKKlGDTp+n5pEUwLrFx1G/enFbvvcfdu3eT9iBSht+AXMCHwAOgDrAV6GXNoDRNs758bo78UN+Plb3KUSK/C7+sOM57Izax63yUtUPTEuiNHXfjDagzRKS7GFQWEf+3FZyWcBMGdCcGqFanFEsPRpAjk06T0ZKfZqF5+Or9wiw/dJVP5x8kLs6EHHW/htBhNU626flpx3x+yVaeDe/ZUXhAQdrny83Mv/+mSO48/LNsWdIdQMpQCWislFoGxBkfWwCtrBuWpmnJhWfWDExsE8K09qFEx8bRaNw2vll0WM/EmgLEN+I+DFgA5ATWAz2BsSLSNYnj0ky0fMVG3OxsqddjCBtPRvK+n550SUueOpTNT5+q3izYe5mvFx027QbT7L7QaT341KPGzj9Y+DgD2QKKsvdLJ75qEIrd40dUq1WLrk2a8PDhw6Q6hOTODng23ewjEXFUSl0EClkxJk3TkqHy3llY2asc7Up7MGP7BWqP3MzRK/rKZXIWX8f9plJqoVKqH+CmlKoLlAOaJn1oWkLdvHSRnRF3CM6XiR1X7YmOjaNWQE5rh6Vpr9Wjkiedy+cnbMdFflx+zLTOe3pnaDAJ6o0ja8Rhxh5Ywxf56/B3fUWJr31pkSsH4/78E788ediyfn2SHUMydhIIMj4/APQTkU+Ba9YLSdO05MoxnS39a/swq2MJHkTHUG/MFmZsv6CrdiVT8XXcM4mIl4ikwXjSV0rFAgmcx1x7G0Z93olopajVsAJLD17BPXN6AtwzWTssTXstEeHzGoVoXTIvv286x/DVp0xtAAKbQeeNiEsBGm8Yzbz0ftgULcjx/i4MqBXM4zt3KFexIn07dODJk3eqekI/IN0LzxsBvYE+iW1YRFxE5B8ROWV8fGU+noisEJHbIrL0pfenisg5EdlvXAITG5OmaZZRIr8ry3uWpWR+V77+6zCfzjuY8EIC2lsTX8d9PTAOuASEiMhkEekGZEnqwLSEW7xqC7nS2VG3xzA2n7rB+/459CxpWrInIgyo7UPDYu6MWHOK8RvOmN6IawH4cBWU6UOeg/OZevYEXYo04a/GMdT8oij1smZhyKRJBOUvwPGjRy1/EMmQUmqtUmqr8flepZS3UiqHUmqJBZr/HFhjnNNjjfH1qwzm9Tn1fZVSgcZlvwVi0jTNQlwzpGNK2xB6VvZi7p5wWk7cwU1dNjJZeWPHXSnVWylVWSmVC0N+5DzACTj2NoLT4ndu/x7237hPiUKubL6oiIlT1PLTaTJaypAmjfBLA39q+efgp7+PM3XLOdMbsbGDKv2h9SJsox/QYe1vzHKvx81iuQj/Niv9Kxcl4tpVigUEMGPcOMsfRDIlIhlFJOeLiwWarQtMMz6fBtR71UpKqTXAPQvsT9O0tyxNGqFPVW9+a1aUA+G3qTt6Cyev6T/n5CKhVWW6AVeAJ8AypZTOcU8mfvvyI+KAD9rVY9mhCPK6OuCby8naYWlagtmkEYY1CaRqkWwMWHKUsevNGHkHyF8eum4Fz6oU2jCUOXehiX9TFrSKoU3XYhRKm5bWXbvSrl49Hj16ZNmDSEZEpKSInARuY7haegkINz4mVjalVASA8TGrGW38ICIHRWSYiKSLf3VN06yhTkBO5nQuSXRMHA3GbmXbmZvWDkkj4VVlcvH/VWXGiEiXJI5LS6AVmw/h5ZiOiq1+YuuZm9TSaTJaCmRnk4YxLYKoE5CTX1YcZ/DK4+bdGOXgAk3D4P1fSXthK302T2WybzcOls1AjgFetPPIzdRFiwj29ErNqTPjgaWAH5DfuOQzPsZLRFaLyOFXLHUtENsXGK7ehgAuwGdviKOTiOwWkd2RkZGvW03TtCQUmNuZhd1Kk83JnjaTd7LkwBVrh/TOM6eqTHmgWdKHpsVn8/wZHL/7iJJFs7PsSBSxcYr6RXNZOyxNM4udTRqGNQmkWWhuRq87Q//FR4g1pc77MyIQ0gE6rgPHLAQv+ZS5mULJFRDKwX5ODKhSlCvXrhISGMicqVMtfhzJQD7gY6XUUaXUhReXhGyslKqilPJ9xbIIuCYiOQCMj9dNCUwpFaEMngBTgNA3rDtBKRWslArOkkXfVqVp1pLLOT3zupQkMLczPWbtY+Kms9YO6Z2W6KoyIpJHRIq8uJFxfS2JjRj4FbZA568+Z/7eywS4Z8Iza0Zrh6VpZrNJI/xY34+OZfMxfdsFOs/Ybf6EINmKQMe1UKwdLtvGMCbiKh0CP2RByxg+7FqMAra2NG3Xjh4tW/L0aaoqlLUDKJhEbS8G2hiftwEWmbLxC51+wZAff9ii0WmaliScHdIy/cNQ3vPLzvfLjvHd0qOmTaCnWYwlqsr8DnQSkbEi0s9YHsxeREYnScQaAI/u3GHV0XBCczrh7NecYxF3aVDM3dphaVqiiQhfvl+Eb+v6sPb4dRqN20bEHTNz0u3SQ+3hUGcUNhe302XzZCYU+4zdZdKT/5uCNM+Vg1FhYZTx8eHSJUukgCcLa4DFItJHRJq/uFig7Z+BqiJyCqhqfI2IBIvIxGcricgmYC5QWUTCRaS68aMwETkEHALcgO8tEJOmaW+BvZ0NI5sF0baUB5M2n6PH7H08iYm1dljvHEloHqmI5AICni3PblAVkYJAXwyzqz4EfDFUnymklGqYFEEnVnBwsNq9e7e1w0iUIV0a0Xf8PL7vVIG42qOZvu08O/tVIbNjWmuHpmkWs/7EdbrP3Ef6tDaMbFaUEvldzW/s8l6Y0woeRHK9xnd8cmMLJy/speoMYei2o6S3T8fMP/+kWq1aljuAJCAie5RSwW/4/HWleZRSKkF57slNajhna1pqoZTi901n+XH5cUI9XJjQuhjODrrv8TrxnbNNbs+SM2OJSB4gD4abjkKVUl9ZrHELSg1fAsXcMnLl3mMOhZ+gxvgzFMubmfGtLPbvQtOSjZPX7tFlxh7O33zAJ9UL0qVcAdKkMfMG7Ac3YF47OLeRpyW7MdTZibBjf1B3Q0ZmzdzH2egnfNOrF9/8+itp0iTPjD9LfwmkBKnhnK1pqc3iA1f45M8DuLukZ2rbUPK4Olg7pGTJ0udsk76ZRKSziLx2Eg+l1EWl1Gal1OLk2mlPDXYtm8fem/cp65eVvdcduHE/mg+CdJqMljp5Z8vI4h5leM8vB4NWnKDD9N3mTwji6AYtF0JIR+y2jeazM/sYVPp7VlWJo0w/f95zdWXg8OHULF6cqKgoyx7IWyYi2YwpLOaUbNQ0TXujOgE5+aNDcaIeRFN/zBb2Xrxl7ZDeCaYOKbXFUCLyP0TkWxEpl+iItHj9+Gkv7EToNuBT/thxkWxO6ahcSH83a6lXhnS2jGxWlO/q+rD51A2qD9/E6qPXzGvMxhbeHwLvDYFT/1Djn1+YVfZXbgXk4N6AHPT1K8i6PXsIKFCAXdu2WfZA3gIRySwiS4EIYCcQISJLRMTFyqFpmpbKhOZzYX7XUjims6XZhO2sOBxh7ZBSPVM77l4Yblh9lWPAx+YEISI1ROSEiJwWkf9MoS0i6URkjvHzHSLi8dLneUTkvoh8Ys7+U5Jr58+y4tgVSufOhEfJDmw8GUmz0DzY2iTPy/qaZikiQquSHizuUZosGdPRYfpuPpt3kHuPzawIE9oRWs6Hu5fJP7sNs/x7E+pXg1W9bPnmg1Bi79+nTJkyjPr5Z/NqylvPs8GVQoAdUBhQwFCrRaRpWqpVIEsGFn5UiiI5negatpff1pzSFWeSkKm9vTTA65JL1wHFTA1ARGyA0UBNoAjQ7OXyksCHwC2llCeGL6VfXvp8GPC3qftOib7v1JjHStGi0/uE7biITRqhWWgea4elaW9NoexOLOpWmm4VCzB3zyVqDN/E9rNmzuhXoCJ0WAP2mXAIa8Qgp6J8UuJz5td5QuM+IRTPkIEeX3xBs+o1ePDggWUPJOlUA1oopU4qpWKVUicxlG6sHs92mqZpZnHNkI5ZHUtQLzAXQ/85SZc/9pg/qKK9kakd9+NAhVd9oJS6CmQyI4ZQ4LRS6qxSKhqYDbw8Q19dYJrx+TwMJcYEQETqAWeBI2bsO0V5+uQJczccwNc5PU37jOfP3ZeoViQb2ZzsrR2apr1VaW3T0Ld6IeZ2KYWdjdB0wna+XXKUx0/NKE3m5gUdVkOeEsiirrS8cprJ1SZyqFh6nAYU4CNPD/78ZxXBXl4cP3bM8geTNF4e7oqzShSapr0z7O1sGNo4gG9qFWHN8evUG72FM5H3rR1WqmNqx30yMEpE/lOTTURyA+bMS50LQ534Z8KN771yHaVUDHAHcBURRwxTZg80Y78pzm+9WnMtOobaNX1ZfjiK2w+f0qpEXmuHpWlWUyxvZpb/ryxtSuZl8pZzvPfbJvaZc4OUgwu0XADF2sHmYRRdO5g51SaRtUggOz515IfqwVy7fp3ggADCJk6Mvz3rWg3MEJH8IpJGRPIDU4F/rBuWpmmpnYjQvkw+/viwOLcePqXeqC3m34+kvZKpHfdJGEa2DxgrzDgBiIgz8BuwyowYXpV68/Jo0evWGQgMU0rF+5NORDqJyG4R2R0Zac7vC+uKjYlh9PRF5Emflo9HzGb8xjMUyeFEyQKJqGutaamAQ1pbBtb1JaxDcR5Hx9Jg7FYGrzxu+sQgNnZQaxjUHAynVuH2RyMmFP2MFkEfMrPpI7p2LYmXrR0tO3akQZUqXL9+PWkOKPF6AemA0xhmuT4F2AO9rRmUpmnvjpIFXFnSowx53RzoMH03Q/85SazOe7cIkzruynCHVmMMs6UOAW6JyC3gBuAH9DcjhnAg9wuv3YErr1tHRGwxpOREAcWBQSJyHsOXVT8R6f6a2CcopYKVUsFZsmR51SrJ2ug+bTn38An1qxdkz3UHzkQ+oHP5/BgzhjTtnVfa040VvcvRIMid0evOUHfUFo5euWtaIyJQvBO0XgQPb2I7qSq9M/owvNII1paMofAAH3rk92DJ2rUUzpePmVOnJrsbV5VSUUqpGhjOpSUBd6VUTaWUmTcCaJqmmS6Xc3rmdSlFgyB3fltzivZTd3H7YbS1w0rxzJ6AyTjaXgVDGksEsEwpZfK85MaO+EmgMnAZ2AU0V0odeWGdboCfUqqLiDQFPlBKNX6pnQHAfaXUkPj2mdIm84iLi6OgkyNPYuPYf+EIHedf5+qdx2zoW0FXk9G0V1hz7BqfLzjE7YfR/K+yF13KFzD9b+X2RZjdHK4ehsrfcMH/A3qt782lyNO025iD8XM3cejxY2qWKsWYsDA8PDyS5Fhepidg0jQtJVFKMXPnRQYuPkpWp3SMa1kM31zm3BKZMll1AqYXKaXuKqUWKKVGKqXmmdNpN7YTA3QHVmIoKfmnUuqIsS58HeNqkzDktJ8G+gD/KRmZmo379ENOP3hMvapenHnowp4Lt+hYNp/utGvaa1QunI1VvcpR3Sc7Q1adpOG4bVyKemhaI855oP0q8P0A1gwk799fElZpNPV8mzCucgQlfizBx96erN+2jUKenvTv25dHj8w6DSaaiCx64fk/IrLqVYtVgtM07Z0mIrQonpc/u5QkLk7xwdit/LnrUvwbaq9k0oi7iKQDmgH1gCDABUPKyj7gL2CmUsrMKQ3fnpQ0ehMXF0dhZ0fuR8dy4Pwhui+O4uS1+2z+rCIOaW2tHZ6mJXtLDlyh38JDCDC4UQDVfbKb1oBSsG00rO4PTjmh4RR22Sq+2fINV29fosu+/Pz1x0ZW3LlDXlc3ho8fR90PPkiyNLZXjd6IyBdKqZ+Mz1+bsqiUSpE38qekc7amaa8X9SCanrP2sfn0DZqF5qZ/bR/s7WysHVaSstqIu4i0By5gqKm+D0NOeT3j4x6gPXBeRNpZKjgNJvbrwsl7j6lbyZNDdzKz/WwUPSt56k67piVQ7YCcLOtRFg83RzrP2MN3S48SHWNCdUQRKNUd2q80vJ5cnZAz25hfay5N/VoxOuQ8jr/4M6Z6OWzv3aV+w4ZUDglh3759SXNAr/Cs0258PvB1y1sLSNM07RVcHNMyrX0o3SoWYNbOSzQat43wWyZeDX3HJXjEXURmA/2VUifesE5B4zrNLRRfkkgpozdxcXH4Zs7Arccx7D29l3bzo3j0NJZ/epcnra1Ok9E0UzyJieWn5ceZuvU8AbmdGdWsKLldHExr5NFtWNwdji0BzypQZxSHo2/y/fbvOXLzCPVv5Cfm92OMOXWGu3FxNKtdm59GjSJPHstNkhbf6I2IHFNKFX7F+4eUUn4WC+QtSinnbE3TEu6fo9foM2c/NjbCiKZFKe+d8gqHJITVRtyVUk3f1Gk3rnMiuXfaU5Kp/Xtw7O4j6lbIz5brzhy/eo9PqhXUnXZNM0M6WxsG1PFhXMsgzl6/T62Rm1l73MT6wumdofEMeG8InN8CY4rje/kwYTX/4JuS37A2101WfpaeoV80oUPOnMxbuhTv/Pn55KOPuH37dtIc2H+5m/i+pmnaW1e1SDaW9ChDdid72k7ZyW9rThGnS0bGy+yqMilZShi9iYuLw88lIzceRrPz+C6azbmJW8Z0/PVRadKk0SUgNS0xLtx8QNc/9nI04i7dK3rSu6o3Nqb+Xd08A399BJe2Q8H3oNZwbtulY8S+ESw4tQC3WAc+3J2bP2etZvGtWzg7OPDVV1/R/eOPSZs2rdmxv270RkT6GZ9+DXz30seeQLBSyt/sHVtRSjhna5pmnkfRsfRbeIiF+y5TqVBWhjUOJJODnbXDsphkU1XmVUTEcteD33F/fP8xR+88pE65fKy4lJErdx7zec1CutOuaRaQ19WRBR+VoklwbkatO02rSTuIvGfiffWuBaDdr3RdkQAAIABJREFUcqj2A5xZC6NDcT68kP7Fv2Ze7Xl45w7kp9Bj2A8OYnrj9ymE8HG/fhR0d2d2WFhS1H+valzsXnheFUOp3XQY7kPSNE1LVtKntWFo4wC+revDplOR1B+zRee9v4HFRtyNFWceKqWS/e3BKWH0JsAlAxH3n7DxwGYaz7lN0TyZmdY+1NphaVqq8+fuS3z912GcHewY1TyIEA8X0xu5cQqW9obzm8A91DADa3Zftl7Zyq+7f+XkrZNUeVyAQnOiGLplJyejnxDk7c3QCRMoX768SbtKQI77SKVUD9MPIvlKCedsTdMSb+e5KDpM20X6tDZMb1+cgtkzWjukREvWI+6AHg62gNm/fMbBWw+oVSoPC885ce9JDJ/XLGTtsDQtVWocnJuFH5UmvZ0NTSds5/eNZ00fDXfzgjZLoN44iDoD48vBqq8o5RbAn7X+5NtS33Iw8z1GtblFhyEf8KO/L5fPnqVChQq8X748x44ds+Qh/SYi/6p5KSLZRMTTkjvRNE2ztNB8LvzZpSQAjcZtZff5KCtHlPyY1HEXkejXLcA94N1LmE8CQ4aMwcXWhm5DJzNl63nqF81F4RxO1g5L01KtIjmdWNyjDFULZ+OH5cfo8sce7j5+alojIhDYDLrvhqItYOtIGF0cm5MrqO9ZjyX1l9AtsBtzXU4zt48NPw1oQe+8edmweTO+Pj50aN6cq1evWuJwZgJuL72Xxfi+pmlaslYouxPzu5bCLUM6Wk/eyZ4LuvP+IlNH3B8Bnfl3/uSzpZZlQ3s3LRr1PXtu3Of9UHdmnnYG4ONqBa0claalfk72doxtGcRX7xdm9bHr1Bm5maNX7prekIML1BkJ7VZAuowwuznMbIzD3Qi6BHRhWf1l1PGqx/Dc+9g3MCdTezenhasb02bNokDevHzz2Wfcv38/MYfirZQ6/NJ7RwDvxDSqaZr2trhndmB2pxJkc7KnzeRd7Lt4y9ohJRumdtwPYMhj3/DyAmxAp8ok2k/fD8bJJg1tfxjFgn3htC3lQS7n9NYOS9PeCSJCh7L5md2pBI+exlJ/zBb+3G3m1Nx5S0LnjVD9R7iwDcaUgLU/kMXWkQGlBjC39lwK5vRnoN9+ngwJZE67hpRNZ893gwZRIFcuxo4aRUxMjDl7vi0iL4+4uwEPzDsQTdO0ty+rkz0zOxbHxTEtrSfv5GD4Wyupm6yZ2nEfDbzumsVTQM+amggrpg5nx7W7vBeUk+nnspIxnS0fVShg7bA07Z0T4uHCsp5lCfbIzKfzDvLpvAM8fhprekM2dlCyG3TfBUXqwsZBMKY4HF+Ot7MX46qOY1yVcUQ7O9K//HGKDK9G2HvVcH/6lI969MAnXz4W/fWXqTn3/wBjRSQDgPFxJLDK9APQNE2znhyZ0jOrUwkypbejzeSdnL6eqKuRqYKu456MlHN3YV/EHaYv+oPem534omYhOpfXHXdNs5bYOMXw1ScZufY0hXM4MbZFEB5ujuY3eG4TLP8EIo+DV3Wo+TO45CcmLoa/Tv/FqH2juPn4Ju0eBWM/+TBDDhzkXHQ0pQIDGTpuHMWLF09IVRk3YDFQDLgOZAX2AHWUUjfMD956kus5W9O0t+P8jQc0HLeVdLY2zOtakhyZUk4mgqWryuiOezKxZ9VCQqt/QB3fbMR1mc/1u49Z90kF7O2SfXVNTUv11h2/Tq85+4mLUwxq6E9NvxzmNxb7FHaMh/U/GZ6X6QVleoNdeh48fcCUw1OYdmQaKi6WXpHBnBm/npFnz3IzNpYGNWsy/++/4/0SEBEBQoC8wHlgt0rBJ/vkeM7WNO3tOnz5Dk0nbCensz1/di6Js4P5E9m9Tcm9HKRmph8+7kka4P3uPTlw6Ta9qnjpTrumJRMVC2VlWc8y5M/iSNewvfSctY+oB9HmNWZjB6W6G6rPFK4NG36B0cXhxN842jnSvWh3ltRfQvX8NRnktp2NX2djSr/2dM+Rk+UrViZoF8pgp1JqrlJql6U67SLiIiL/iMgp42PmV6wTKCLbROSIiBwUkSYvfJZPRHYYt58jIinjm1fTNKvzzZWJCa2Kcf7GQz6ctptH0WakL6YCuuOeDFy/cIaVR69Qyj0Tcx6UJn8WRxoEuVs7LE3TXuCe2YG5XUrRu4o3fx+OoNqwDSw/FGF+g045oOEkaLMU7NLDrKYQ1hiizpLdMTs/lPmBObXm4JHVm34FtnFtkD/zP2oZb7Ni0FFEZovIGhFZ+2wxP9jnPgfWKKW8gDXG1y97CLRWSvkANYDhIuJs/OwXYJhx+1vAhxaISdO0d0QpTzeGNw1k78VbdJ+5l9i4FHsh0WyJ7riLyKeWCORd9m2HhjyMi6Nq05qcun6fT6oVxNZG/6bStOQmrW0a/lfFiyU9ypAjU3o+CttLlxl7uHL7kfmN5isLXTZDte/hwhYYXQLW/QRPH1HYtTATq01kdOXRPMmQlk9D9iakxR+A74BLQAkM+e1FgP3mB/lcXWCa8fk0oN7LKyilTiqlThmfX8GQZ5/FmL5TCZj3pu01TdPe5D2/HAys48Oa49f5ablFJ69LESzRO3zViIuWQNGPHjF/42F8nR3426UdfrkyUdM3e/wbappmNYWyO7Hwo1J8WqMg609ep/KvGxi97jRPYsy8dGtjB6V6GKrPFK4FG342ps+sQEQo516O+XXm83WJrxPSWnOgulKqLxBtfKwHeJgX3L9kU0pFABgfs75pZREJBdICZwBX4LZS6lmNy3AglwVi0jTtHdO6pAdtSuZl4uZzzNl10drhvFWW6Ljr2u2JMPLjVlyNjqFyVT8u33nKx9W8MQxMaZqWnNnapOGjCp6s7lOect5uDF55ghrDN7H+xHXzG3XKCQ0nQ5slYGsPs5rAzKYQdQ7bNLY0Ltg4Ia24KKUOGJ/HioiNUmo7UDEhG4vIahE5/IqlrimHIiI5gBlAO6VUHK/+rnjtdW4R6SQiu0Vkd2RkpCm71jTtHfB1rSKU9XLjq78Os+PsTWuH89YkuqqMiEQppVwsFM9bkZwqFBTLkpHwO48JGDCLtBmzsaR7Gd1x17QUaMPJSAYuPsLZGw+oUDALX9QsTMHsGc1vMCYadoyD9T9DXAyU7QOl/4ekdYivHOQxDCPuF0VkJ/AtcANYrJR64wh5fETkBFBBKRVh7JivV0r9Z2pnEXEC1gM/KaXmGt8TIBLIrpSKEZGSwAClVPX49vuqc/bTp08JDw/n8ePHiTkkTdOSkL29Pe7u7tjZ2SVJ+3cePaX+mC3cehDNom5lyOPqkCT7SQxLV5WxNSOAOF4aJRGRWAyjKUoppUuhJNCuFXPZe+M+DYvmYtfd9Iyt7ak77ZqWQpX3zsKKXuWYuvUco9aepuaIjTQJyU3vKt5kdbI3vUHbtFC6J/g1hFVfGcpHHpiVkC3HYqjhfhEYBvyF4fzc3/Qg/mMx0Ab42fi46OUVjJViFgLTn3XawfDlICLrgIbA7Ndtn1Dh4eFkzJgRDw8Pfd7UtGRIKcXNmzcJDw8nX758SbKPTOntmNQmhHqjt9Bh+i7mdy1FRvuk+ZGQXJiTKpMPyG9cCgD3jc+fva8l0NB+n2IDpK/SjAJZHKnuo3PbNS0lS2ubhk7lCrChb0XalsrHvD3hVBiynuGrT/LgSUz8DbzKs/SZ1ovBJl28qyulflNKLTQ+n4Uht91HKfW9eQH8y89AVRE5BVQ1vkZEgkVkonGdxkA5oK2I7DcugcbPPgP6iMhpDDnvk8wN5PHjx7i6uupOu6YlUyKCq6trkl8Vy+fmyNgWQZyJfECv2ftTfaUZnSpjJY/v3SOnS2a8XB241nYWQxoF0LCYLgGpaanJ+RsPGLTyOMsPXSVLxnR8XNWbRsG5sUljZmczJhqxS/fay64iYgvcxHATaarJIXnVOfvYsWMULlzYShFpmpZQb+tvdcb2C3z912E6l8vPF+8ln3NDcpyASQ93mGFEnxbcionFr7QfOTPZUzcwp7VD0jTNwjzcHBnTohjzu5Yid+b0fL7gEDVHbGTdieuYNWhi++b5iowVW24AqftacTJhY2NDYGAgPj4+BAQEMHToUOLi4uLdrm/fvvj4+NC3b1+z9pshQwYAzp8/z8yZM81qQ9NSm1Yl8tKqRF7GbzzLvD3h1g4nyVii467PGmaYs3At2dLasrlAN1qV9MBO123XtFSrWN7MzO9airEtgoiOiaPdlF20nLSDw5fvJMXu+gNjRUSXWkxi6dOnZ//+/Rw5coR//vmH5cuXM3DgwHi3Gz9+PHv37mXw4MGJ2n9y6bjHxJiZBqZpFvZN7SKUKuBKvwWH2HMhytrhJIlE9xaVUt0sEci7ZN/qBey7+YDSPtkgXWaahea2dkiapiUxEaGmXw5W9S5P/9pFOHrlLrVHbabPn/sTN4HTf03BUMv9oog8FZHoZ4sld6L9W9asWZkwYQKjRo1CKUVsbCx9+/YlJCQEf39/xo8fD0CdOnV48OABxYsXZ86cOSxZsoTixYtTtGhRqlSpwrVr1wAYMGAAQ4YMed6+r68v58+f/9c+P//8czZt2kRgYCDDhg3712f379+ncuXKBAUF4efnx6JF/38f8PTp0/H39ycgIIBWrVoBcO3aNerXr09AQAABAQFs3bqV8+fP4+vr+3y7IUOGMGDAAAAqVKhAv379KF++PCNGjHjtcdy/f5927drh5+eHv78/8+fPZ9KkSfTu3ft5u7///jt9+vRJ5P8BTQM7mzSMaRFEDmd7Os/Yw2XLnluTBZOrymiJN3LAFwA8Da1N/aK5cHZ48+VvTdNSj7S2aWhXOh8fBLkzZv1ppmw5z7KDEXxYJh9dKxSwREWEKpaIUzNd/vz5iYuL4/r16yxatIhMmTKxa9cunjx5QunSpalWrRqLFy8mQ4YM7N9vmMj21q1bbN++HRFh4sSJDBo0iF9//TVB+/v5558ZMmQIS5cu/c9n9vb2LFy4ECcnJ27cuEGJEiWoU6cOR48e5YcffmDLli24ubkRFWUYlezZsyfly5dn4cKFxMbGcv/+fW7duvXG/d++fZsNGza88Ti+++47MmXKxKFDh56vlzZtWvz9/Rk0aBB2dnZMmTLl+Q8bTUssZ4e0TGoTTP3RW+kwbTfzupTEMV3q6e6mniNJIeLi4li95zx+zg4cdK7FoFIe1g5J0zQryJTeji9qFqZVibz8uuokY9afYfauS/Sq4kWz0Dwmpc+JyC6lVIjxZQWlVPz5GqnIwCVHOHrlrkXbLJLTif61fUze7tm9C6tWreLgwYPMmzcPgDt37nDq1Kn/lMULDw+nSZMmREREEB0dbbGyeUop+vXrx8aNG0mTJg2XL1/m2rVrrF27loYNG+Lm5gaAi4uhtsTatWuZPn06YMjdz5QpU7wd9yZNmsR7HKtXr2b27NnP18ucOTMAlSpVYunSpRQuXJinT5/i5+dnkePWNADPrBkZ2bwo7afu4uM/DzCmRRBpzC0KkMzoxOq3bOGo/lx6HI2PX25K5nelUHYna4ekaZoVuWd2YFiTQJZ0L0PBbBn5ZtERqg/byMojV025gdVL/r8u4sdJFKoWj7Nnz2JjY0PWrFlRSjFy5Ej279/P/v37OXfuHNWqVfvPNj169KB79+4cOnSI8ePHPy+dZ2tr+68bXU0tqRcWFkZkZCR79uxh//79ZMuWjcePH6OUSnAJzfhicHR0jPc4Xre/Dh06MHXqVKZMmUK7du1MOjZNS4gKBbPy5ftFWHHkKsNXn7R2OBaT4BF3EakElAfOAGuVUuEvfZ5DKRVh4fhSnWljJ5JOhAuBbflGj7Zrmmbk556JmR2Ls+7EdX5cfpzOM/YQ6uFCv/cLE5jbOb7NdwAbjbOm2ovIhFetpJTqZOm4kwNzRsYtLTIyki5dutC9e3dEhOrVqzN27FgqVaqEnZ0dJ0+eJFeuXP/q7IJhJD5XLsN9xNOmTXv+voeHx/MUmL1793Lu3Ln/7DNjxozcu3fvlfHcuXOHrFmzYmdnx7p167hw4QIAlStXpn79+vTu3RtXV1eioqJwcXGhcuXKjB07ll69ehEbG8uDBw/Ili0b169f5+bNm2TIkIGlS5dSo0aN1+7vVcdRrVo1Ro0axfDhwwFDqkzmzJkpXrw4ly5dYu/evRw8eDBB/401zVTtS3tw8uo9flt7Gq9sGakdkPIr+Jky4t4byAj4ActFZI2IvP/C534iMtqi0aUyj+7eYcOp6xTLkZGYbMFUKZyo2cc1TUtlRIRKhbKx4n9l+aG+L2dv3Kfe6C30mLWPS1EP37RpU2A5/1+e1+41i2ZBjx49el4OskqVKlSrVo3+/Q0T1Hbo0IEiRYoQFBSEr68vnTt3fmX1lQEDBtCoUSPKli37PH0FoEGDBkRFRREYGMjYsWPx9vb+z7b+/v7Y2toSEBDwn5tTW7Rowe7duwkODiYsLIxChQoB4OPjw5dffkn58uUJCAh4flPoiBEjWLduHX5+fhQrVowjR45gZ2fHN998Q/HixalVq9bzNl7ldcfx1VdfcevWLXx9fQkICGDdunXPP2vcuDGlS5d+nj6jaZYmInxXz5dQDxc+mXuAg+G3rR1SoiV4AiYRKQnMAE4B/wC3MMyclx3oC5wGVimliidNqJZjrQmYfu3egE9GL6Dp+8Up2n0qn9Z4/UlQ0zTt/pMYJmw4w4RNZ4mLg7alPfjy/SJvnMxDRBYrpeq8zTiTmp6AKXWqVasWvXv3pnLlytYORUtCyeFv9eb9J9QZtYWYuDgWdy9DNif7t7Zvq03ApJTaBngBPwFuQDugOlAK2AlcBaa9tgGNhQvWkNnWhv2Fu9M4WJeA1DTtzTKks6VPtYKs/6QidQNz8vums/Fuk9o67Vrqc/v2bby9vUmfPr3utGtvhWuGdExqG8z9xzF0mLabh9Epd+4Bk25OVQYblVL9lFLllFKuQCbACeiAIQdee4WLx/az8+pdQvNlJtDLEw83x/g30jRNA7JnsmdwowCW9Shr7VA0LdGcnZ05efIkc+fOtXYo2jukUHYnRjYvypErd+g1ez9xcWbMXp0MWGICpidKqQdKqTCgtTltiEgNETkhIqdF5PNXfJ5OROYYP98hIh7G96uKyB4ROWR8rJSog0lCIz7rxFOlcAwuQ1M94ZKmaWYoklNXodI0TTNXpULZ+Or9Iqw6eo1fVh63djhmSXDHXUQ2iEh8I+rFRWS9KQGIiA0wGqgJFAGaiUiRl1b7ELillPIEhgG/GN+/AdRWSvkBbTDk4CdLKzcexiN9Wk55fkh1n+zWDkfTNE3TNO2d0660B61K5GX8hrPM3nnR2uGYzJQJmH4ExoiIHbAaOArcxZAmUwSoDMQAps5bHAqcVkqdBRCR2UBdY/vP1AUGGJ/PA0aJiCil9r2wzhEMZdDSKaWemBhDktq6aBpH7jyiXlF3AoLzYW9nY+2QNE3TNE3T3jkiQv/aRbgQ9ZCv/jpMHhcHSnm6xb9hMmHKzakrlVI+QA/jWy2BL42PAvRUSvkopVaaGEMu4NILr8ON771yHaVUDHAHcH1pnQbAvuTWaQcY+8O3CPAgpCFNQnSajKZpmqZpmrXY2qRhVPOi5M/iSJc/9nD6+n1rh5RgJue4GzvwHymlSiilChofu5rRYX/mVVO4vXzHwBvXEREfDOkznV+7E5FOIrJbRHZHRkaaFag5YmNiWHvwEgEujqT3a0DhHDpHVdM0TdM0zZqc7O2Y1CaEtLZp+HDaLqIeRFs7pAQxJce9kogMFJHWIuL+is9zmBlDOPDiMLQ7cOV164iILYZKNlHG1+7AQqC1UurM63ailJqglApWSgVnyZLFzFBNN2vQx1x58hQvvzw0Ccnz1varaZqmJa0MGTJYdf/79++nZMmS+Pj44O/vz5w5c55/1rZtW/Lly0dgYCCBgYHs378fAKUUPXv2xNPTE39/f/bu3ft8m2nTpuHl5YWXl9e/Zj99nbZt2zJv3jzLH1giDR8+nIcP3zhh2RutX7+erVu3Pn89btw4pk+f/sZtBgwYwJAhQ8zeZ0pVo0YNnJ2dqVWrlrVDMUtuFwcmtA4m4s5jOs/YzZOYWGuHFC9zZ07924Izp+4CvEQkn4ikxTAD4OKX1lmM4eZTgIbAWqWUEhFnYBnwhVJqixn7TnIzp8zGXoSI4C7UDjD3t42maZqm/ZuDgwPTp0/nyJEjrFixgl69enH79v/PDDl48GD279/P/v37CQwMBODvv//m1KlTnDp1igkTJtC1a1cAoqKiGDhwIDt27GDnzp0MHDiQW7duWeW4EsvSHfcuXbrQurVZRfPeutjYt9vx7Nu3LzNmJNu6IAkSlCczvzYKYNf5W3wx/xAJnZjUWkzpuP8I1AF8gSnAH0ALEVkrIsWAHYDJM0MZc9a7AyuBY8CfSqkjIvKtiDybSGQS4CoipzHc/PqsZGR3wBP4WkT2G5espsaQVO7evM7mczcIyeVE8eLlyWivZxzXNE1LbdavX0/58uVp3Lgx3t7efP7554SFhREaGoqfnx9nzhguBi9ZsoTixYtTtGhRqlSpwrVr1wDo2bMn3377LQArV66kXLlyxMXFxbtfb29vvLy8AMiZMydZs2YlvlTQRYsW0bp1a0SEEiVKcPv2bSIiIli5ciVVq1bFxcWFzJkzU7VqVVasWJHg/wZ79uyhfPnyFCtWjOrVqxMREQFAhQoV+OyzzwgNDcXb25tNmzYBcOTIEUJDQwkMDMTf359Tp069st3z589TqFAh2rRpg7+/Pw0bNnzeKV+zZg1FixbFz8+P9u3b8+TJE3777TeuXLlCxYoVqVixIgCrVq2iZMmSBAUF0ahRI+7fN+Qze3h40L9/f4KCgvDz8+P48eOcP3+ecePGMWzYMAIDA9m0adO/RtN///13QkJCCAgIoEGDBgn+gfC67a5du0b9+vUJCAggICDg+Q+G6dOn4+/vT0BAAK1atQL+e4Xj2RWf9evXU7FiRZo3b46fnx8A9erVo1ixYvj4+DBhwoTn26xYsYKgoCACAgKoXLkycXFxeHl5Pf93ExcXh6enJzdu3EjQcVWuXJmMGTMmaN3krHZATj6u6s2CfZcZtfa0tcN5owRXlVFKbRMRL6AsUAOoB/gAjhhmTo0GPjYnCKXUcmD5S+9988Lzx0CjV2z3PfC9Oft8G0Z/1o57sXHkCPTTM6VqmqYllb8/h6uHLNtmdj+o+XOCVz9w4ADHjh3DxcWF/Pnz06FDB3bu3MmIESMYOXIkw4cPp0yZMmzfvh0RYeLEiQwaNIhff/2Vn3/+mZCQEMqWLUvPnj1Zvnw5adKkISwsjMGDB/9nX56env9JUdm5cyfR0dEUKFDg+Xtffvkl3377LZUrV+bnn38mXbp0XL58mdy5///7yN3dncuXL7/2/YR4+vQpPXr0YNGiRWTJkoU5c+bw5ZdfMnnyZABiYmLYuXMny5cvZ+DAgaxevZpx48bxv//9jxYtWhAdHf3GkeITJ04wadIkSpcuTfv27RkzZgzdu3enbdu2rFmzBm9vb1q3bs3YsWPp1asXQ4cOZd26dbi5uXHjxg2+//57Vq9ejaOjI7/88gtDhw7lm28MXQw3Nzf27t3LmDFjGDJkCBMnTqRLly5kyJCBTz75BDD8QHjmgw8+oGPHjgB89dVXTJo0iR49evw36Je8bruePXtSvnx5Fi5cSGxsLPfv3+fIkSP88MMPbNmyBTc3N6KiouJtf+fOnRw+fJh8+fIBMHnyZFxcXHj06BEhISE0aNCAuLg4OnbsyMaNG8mXLx9RUVGkSZOGli1bEhYWRq9evVi9ejUBAQG4ubmZ9O8vNeheyZNzNx7w6z8n8XBzpHZATmuH9EqmlINEGa4fbDQugGFyJGM79TCMyI+xZIAp2eKlm3Gzs+V2qU8I8chs7XA0TdO0JBISEkKOHIZ0yAIFClCtWjUA/Pz8WLduHQDh4eE0adKEiIgIoqOjn3ey/q+9O4+LqmoYOP47IAio8YimIWiiuLMpq6JoEaDWg4+ammKIj2hiRmUbvWaZpVLi0uLy4oYLb4+KSc/zJLmlpSVr4pKUo4mGkqWouGCKnPePGSZANhUdmTnfz2c+zJx7z7nn3DtzOffes9jY2LB06VICAgKYP3++vvIdFhZGWFhYjdvOz8/n2WefZdWqVZiZaR+kz549m0ceeYTr168zYcIEPvjgA95+++1KmwEIIaoMr42ff/6ZQ4cOERQUBGiba5TuC9BWWgE8PT3Jzc0FoGfPnsycOZO8vDyGDBmif3JQmdatW+Pv7w/A6NGj+fjjjwkKCsLJyYmOHTsCMGbMGBYuXMhLL71ULm5qaiqHDx/Wx79+/To9e/asNG+ff/55jWU9dOgQb731FhcuXODy5cuEhITUGKe6eF9//bW+/by5uTm2trasXr2ap59+mubNtUMU2tnZ1Zi+j4+P/vsE8PHHH7Np0yYAfv31VzQaDX/88QcBAQH69UrT/ec//8mgQYN46aWXWLFiBWPHjgVq//0zFkIIZg915dfzV3llw35a/c0az0cfvLrbbVXcK6MbfvFPIFEIYXyXYHfoWPb3ZJ4p5IlOLQjt6VLrE6CiKIpym27jzvi90rBhQ/17MzMz/WczMzOKi4sBeOGFF5gyZQqhoaHs2rWL6dOn6+McPHiQZs2acfr0X2Mz1OaOZ2FhIU8++STvv/8+fn5++nVKK84NGzZk7Nix+qYejo6O/PrrXyMw5+Xl0apVKxwdHdm1a1e58H79+tWq7FJKunXrxt69eytdXrovzM3N9fti1KhR+Pr68uWXXxISEsKyZct4/PHKJz+v+P+zqguNqvIWFBTEZ599Vuu8VSciIoLk5GTc3d1JSEgot8/qKp6UstI6Q4MGDfRNqKSUXL/+1ygojRo10r/ftWsX27dvZ+/evdjY2NCvXz+uXbtWZbqtW7emZcuWfP3116SlpZGYmAjU7vtnbBpJt9xWAAAgAElEQVQ2MOd/n/Vi8KLvmLA6k+Tn/WltZ2PobJVz28NBVudBHEPdUD6KeZ5iwMrnMYb2qDgsvaIoimJqLl68iIOD9v9B2VFbTpw4wdy5c9m3bx8pKSmkpaUB2juepZ1Ly75KK03Xr19n8ODBhIeHM2xY+dakpW3MpZQkJyfj4uICQGhoKKtXr0ZKSWpqKra2ttjb2xMSEsLWrVs5f/4858+fZ+vWrfq7wuHh4aSnp1dZrk6dOvHHH3/oK+43btzgxx9/rHZf/PLLL7Rr147o6GhCQ0M5cOBAleuePHlSn/Znn31G79696dy5M7m5uRw9qm2PvGbNGvr21U7u3qRJEy5dugSAn58f3333nX69q1evcuTIkWrzVjZ+RZcuXcLe3p4bN27oK7i1UVW8wMBAFi9eDGifVBQWFhIYGMj69es5d+4cgL6pTNu2bcnKygK0fRVu3LhR6bYuXrxI06ZNsbGx4aeffiI1NRXQPuX45ptvOH78eLl0ASIjIxk9ejTDhw/H3Fw7SWRN3z9jZdfIkuVjvLlxs4RxqzIovFb5fjaUOq24K3/Z+v1PtGvUELvHX6bFQ1aGzo6iKIpiYNOnT2fYsGH06dNH3wxCSsm4ceOIi4ujVatWLF++nMjISK5du1ZjeuvXr+fbb78lISHhlmEfw8LCcHV1xdXVlbNnz/LWW28BMHDgQNq1a4ezszPjx49n0SJt61Y7OzumTZuGt7c33t7evP322/qmFAcOHCjX9KUiS0tLkpKSeOONN3B3d8fDw6PcqCyVWbduHS4uLnh4ePDTTz9VO2pLly5dWLVqFW5ubhQUFBAVFYWVlRUrV65k2LBhuLq6YmZmxsSJEwGYMGECAwYM4LHHHuPhhx8mISGBkSNH4ubmhp+fHz/99FO1efv73//Opk2b9J1Ty3rvvffw9fUlKCiIzp07V5tObeJ99NFH7Ny5E1dXVzw9Pfnxxx/p1q0bU6dOpW/fvri7uzNlinZC+vHjx/PNN9/g4+NDWlpaubvsZfXv35/i4mLc3NyYNm2a/knMww8/THx8PEOGDMHd3Z0RI0bo44SGhnL58mV9M5na6tOnD8OGDWPHjh04OjqyZcudTunzYHFu0Zgloz355Y8rPJ/4A8U3a+4sfr+IB33Ym3vBy8tLZmZm3rP0d/5rMY+PnMRgr0eZmJBKcLdH7tm2FEUxLUKILCnlbY/gVZ9Vds7OycmhS5cuBsqR6SgsLGTcuHFs2LDBINvPzc3lqaee4tChQwbZvqnIzMzk5ZdfvuVCpS7U59/qv9JPEvP5QcJ7PsqMQS53lEZdn7PVHfd7YOHsWTQAiv3DeazzAzM6paIoyl0RQtgJIbYJITS6v7f03BJCeAgh9gohfhRCHBBCjCizLEEIcbzM8L0e97cEyu166KGHDFZpV+6P2NhYhg4dyuzZsw2dlQfOMz5tGN/HidV7T/BFdu1GWbrX7rpzqlLe1Yvn+fpwPp4tm9AzeCQW5uraSFEUoxED7JBSxgohYnSf36iwzlW0M1lrhBCtgCwhxBYpZenMQK9JKY27kaxy286dO0dgYOAt4Tt27KhXd9uff/55vvuu/HyQL7744m03QbmfYmJiiImJqXlFE/VG/87sO3mB//n8IK4OtrR72LAzJquKex2bP2UU54tv0sbThVG+bQydHUVRlLo0COine78K2EWFiruU8kiZ96eFEL8DDwMXUJQqNGvWTN8+vz5buPBOJpBXHmQNzM34ZFR3Bn60m+f/bx+bJvXCysLcYPlRt4Pr2Odf7KalZQOsQ9/j0WaVdxxRFEWpp1pKKfMBdH+rbQsohPABLIFjZYJn6prQzNfNA6IoivJAs7e1Zt4ID3LyC5nx38MGzYuquNehtC8T+eHcFXw6tSA84M46MSiKohiSEGK7EOJQJa9Bt5mOPbAGGCulLB2S4U2gM+AN2HFrM5uy8ScIITKFEJml07EriqIYymOdWhDVrz3/l3aSf+8/XXOEe0Q1lalDC96ZihnQsF8Y/TqpTqmKotQ/UsonqlomhDgjhLCXUubrKua/V7HeQ8CXwFtSytQyaefr3v4phFgJvFpNPuKBeNCOKnP7JVEURalbrwR1JON4AW9uPICrgy1Oze9/ywp1x72OXCo4w5b9eXR/uDGPDZmAuZmaKVVRFKPzb2CM7v0Y4IuKKwghLIFNwGop5YYKy+x1fwXwD6D+9DpUFMXkNTA34+OR3bFsYMbziT/wZ/HN+54HVXGvI7MnPs354ps49/JkhFdrQ2dHURTlXogFgoQQGiBI9xkhhJcQYpluneFAABBRybCPiUKIg8BBoDnw/v3Nft1q3Niwo0uUKiwsxMHBgcmTJ+vDsrKycHV1xdnZmejoaErnbCkoKCAoKIgOHToQFBTE+fPnAe1EUNHR0Tg7O+Pm5sYPP/xQ43bbtm3L2bNn702h7tCFCxf0k0rdqYSEBE6f/qspRGRkJIcPV9+uuV+/ftzL+WEeRD/99BM9e/akYcOGxMXFGTo7902rv1kTN8ydw/mFzN1a/Sy894KquNeBkpISNmzOoK21JW1HzaFZY9XfSlEU4yOlPCelDJRSdtD9LdCFZ0opI3Xv10opLaSUHmVe2bplj0spXaWULlLK0VLKy4Ysj7GYNm0affv2LRcWFRVFfHw8Go0GjUbDV199BWjH7A4MDESj0RAYGEhsbCwAKSkp+nXj4+OJioq67+WoC/ei4r5s2TK6du16t1m7L4qLi+/btuzs7Pj444959dUqW7wZrcAuLRnt14alu3/h+6P39+JVVdzrwKr3JnH0yp949WjL+Mfq5+xgiqIo9dUH6R8w9quxdfr6IP2DWm9/165d9O3bl+HDh9OxY0diYmJITEzEx8cHV1dXjh3TDqrzn//8B19fX7p3784TTzzBmTNnAIiOjmbGjBkAbNmyhYCAAEpKajfFelZWFmfOnCE4OFgflp+fT2FhIT179kQIQXh4OMnJyQB88cUXjBmjbe00ZsyYcuHh4eEIIfDz8+PChQvk5+ffusEqrF27Fh8fHzw8PHjuuee4eVPbhKBx48ZMnToVd3d3/Pz89GXesGEDLi4uuLu7ExAQUGW6CQkJDBo0iP79+9OpUyfeffdd/bJ58+bh4uKCi4sLCxYsALRjkh87dgwPDw9ee+01AObMmYO3tzdubm688847gHZG1i5dujB+/Hi6detGcHAwRUVFJCUlkZmZSVhYGB4eHhQVFZW7mx4VFYWXlxfdunXTp1UbVcXLyMigV69euLu74+Pjw6VLl7h58yavvvoqrq6uuLm58cknnwDln3BkZmbSr18/AKZPn86ECRMIDg4mPDyc3Nxc+vTpQ48ePejRowfff/+9fnsffvghrq6uuLu76/dVjx499Ms1Gg2enp61KlOLFi3w9vbGwsKi1vvBmEwd2BWn5o2Ysn4/F6/euG/bVZ1T68DSJZ9ha25O85GzaG/ggfkVRVGU+2///v3k5ORgZ2dHu3btiIyMJD09nY8++ohPPvmEBQsW0Lt3b1JTUxFCsGzZMj788EPmzp1LbGws3t7e9OnTh+joaDZv3oyZmRmJiYnMmTPnlm05OzuTlJRESUkJr7zyCmvWrGHHjh365adOncLR0VH/2dHRkVOntLM+njlzBnt7ewDs7e35/fff9XFat259S5zSdauTk5PDunXr+O6777CwsGDSpEkkJiYSHh7OlStX8PPzY+bMmbz++ussXbqUt956ixkzZrBlyxYcHBy4cKH6If7T09M5dOgQNjY2eHt78+STTyKEYOXKlaSlpSGlxNfXl759+xIbG8uhQ4f0Y8Jv3boVjUZDeno6UkpCQ0P59ttvadOmDRqNhs8++4ylS5cyfPhwNm7cyOjRo/n000+Ji4vDy+vWWepnzpyJnZ0dN2/eJDAwkAMHDuDm5lbjPqosXufOnRkxYgTr1q3D29ubwsJCrK2tiY+P5/jx4+zbt48GDRpQUFBQY/pZWVns2bMHa2trrl69yrZt27CyskKj0TBy5EgyMzNJSUkhOTmZtLQ0bGxsKCgowM7ODltbW7Kzs/Hw8GDlypVEREQA8PLLL7Nz585btvXMM8+oCZsAa0tzPhrRncGLvmNq8kE+HdWj5kh1QFXc71LKilj2/lbIUy72RD71uKGzoyiKYnLe8KlyVMn7xtvbW1/Jbd++vf4OuKurq77yk5eXx4gRI8jPz+f69es4OTkBYGNjw9KlSwkICGD+/Pm0b98egLCwMMLCwqrc5qJFixg4cGC5Cjegb89elrY/cNXuJE6pHTt2kJWVhbe3NwBFRUW0aKEdWc3S0pKnnnoKAE9PT7Zt2waAv78/ERERDB8+nCFDhlSbflBQEM2aNQNgyJAh7NmzByEEgwcPplGjRvrw3bt3ExoaWi7u1q1b2bp1K927dwfg8uXLaDQa2rRpg5OTEx4eHvq85ebm1ljW9evXEx8fT3FxMfn5+Rw+fLhWFffK4gkhsLe31++3hx56CIDt27czceJEGjTQVtHs7OxqTD80NBRra2sAbty4weTJk8nOzsbc3JwjR47o0x07diw2Njbl0o2MjGTlypXMmzePdevWkZ6eDsD8+fNr3K6pc3W05aUnOhC39QhPuf1Gf5dH7vk2VcX9LsW+8wGNzMxoNuJNPB9taujsKIqiKAbQsOFffZvMzMz0n83MzPTtjl944QWmTJlCaGgou3btYvr06fo4Bw8epFmzZuXaVtd0x33v3r3s3r2bRYsWcfnyZa5fv07jxo158cUXycvL06+fl5dHq1atAGjZsiX5+fnY29uTn5+vr2A7Ojry66+/VhqnJlJKxowZw+zZs29ZZmFhob8AMDc31++LJUuWkJaWxpdffomHhwfZ2dn6ynlFFS8ghBCVXmhUlbc333yT5557rlx4bm5uuWNmbm5OUVFRtWkdP36cuLg4MjIyaNq0KREREVy7dq3GPFQVT0pZ6cVRVeENGjTQN6GquN3SCxjQVrhbtmzJ/v37KSkpwcrKqtp0hw4dyrvvvsvjjz+Op6en/jioO+6181zf9mw++BvTvjhEz3bNsLW5t02HVBv3u7AjcQG78y7Qt9PDPD+66rsiiqIoinLx4kUcHBwAWLVqlT78xIkTzJ07l3379pGSkkJaWhqgveOenZ19yyspKQnQVuxPnjxJbm4ucXFxhIeHExsbi729PU2aNCE1NRUpJatXr2bQIO38WaGhofptr1q1qlz46tWrkVKSmpqKra2t/glC586dqy1XYGAgSUlJ+mY3BQUFnDhxoto4x44dw9fXlxkzZtC8efNyFw0Vbdu2jYKCAoqKikhOTsbf35+AgACSk5O5evUqV65cYdOmTfTp04cmTZpw6dIlfdyQkBBWrFjB5cvaftCnTp3S57MqFdMoVVhYSKNGjbC1teXMmTOkpKRUm05N8Tp37szp06fJyMgA4NKlSxQXFxMcHMySJUv0FzmlTWXatm1LVlYWABs3bqxyexcvXsTe3h4zMzPWrFmj728QHBzMihUruHr1arl0raysCAkJISoqirFjx+rTmT9/fqXfP1VpL8/C3IwPn3aj4Mp1Zm6+97Oqqjvud+G9N2dgZSZwDHsT77Y1P8pSFEVRTNf06dMZNmwYDg4O+Pn5cfz4caSUjBs3jri4OFq1asXy5cuJiIggIyNDf6f0TixevJiIiAiKiooYMGAAAwYMALSdN4cPH87y5ctp06YNGzZoh9ofOHAgmzdvxtnZGRsbG1auXAnA2bNna7y73bVrV95//32Cg4MpKSnBwsKChQsX8uijj1YZ57XXXkOj0SClJDAwEHd39yrX7d27N88++yxHjx5l1KhR+rbnERER+Pj4ANrmHqXNYfz9/XFxcWHAgAHMmTOHnJwcevbsCWg7y65duxZzc/MqtxcREcHEiROxtrZm7969+nB3d3e6d+9Ot27daNeuHf7+/tXul5riWVpasm7dOl544QWKioqwtrZm+/btREZGcuTIEdzc3LCwsGD8+PFMnjyZd955h3HjxjFr1ix8fX2r3N6kSZMYOnQoGzZs4LHHHtPfje/fvz/Z2dl4eXlhaWnJwIEDmTVrFqC9SPz888/LdXKuyW+//YaXlxeFhYWYmZmxYMECDh8+rG/yY0pcHGyZENCOxbuOEeruQO8Oze/ZtkRtHzcZEy8vL3m3462un/cGI175kIFdWzJ7y0+4Of6tjnKnKIpSNSFElpTy1l5zRqyyc3ZOTg5duqhRvO61//73v/zyyy9ER0cbZPsJCQlkZmby6aefGmT7piIuLo6LFy/y3nvv1XnapvJbvXbjJgM/2s31myVseSmARg2198br+pyt7rjfgZvFxbw34xOaNjCnQ9R8VWlXFEVRjFJpx1LFeA0ePJhjx47x9ddfGzor9ZqVhTkfPO3GsCV7idv6M+/8vds92Y6quN+BDyb8nUMXixjWqyMxzw42dHYURVEUpV7bsmULb7xRfnQgJycnNm3apB+esD7w9fXlzz//LBe2Zs0aXF1dDZSjmm3atMnQWTAa3m3tCO/5KAnf5/KUmz2ej9Z9M2pVcb9Np47sZ/7a7bSzaUiftxJ5xPbO2yAqiqIoiqLtRBoSEmLobNy10o7Fiul6vX9nduT8zutJB/gyuk+dp69GlblNkU8GUXCjmD7D/s6EoO6Gzo6iKIqiKIrygGjcsAGzhrhy7I8rLNx5tM7TVxX32/C/b0bw1dE/COr4MK/OXEbDBlX3SlcURVEURVFMT9+ODzOkhwOLdx2r87RVxb2WctK2MzVuLa2tLAmesRoXB1tDZ0lRFEVRFEV5AE17siu21nU/GZOquNfC9WtFhD35Dy7fLGHguNG8OKz+t8NTFEVRFEVR7o2mjSx5d1DdjyyjKu61MMKrPfvOXeEfvTsy64PFmJvdOmWwoiiKYloaN25s6CwA2pk5HRwcmDx5sj4sKysLV1dXnJ2diY6O1k+iVFBQQFBQEB06dCAoKIjz588DIKUkOjoaZ2dn3Nzc+OGHH2rcbtu2bTl79uy9KdQdunDhAosWLbqrNBISEjh9+rT+c2RkJIcPVz8jZr9+/bjb+WHqm8TERNzc3HBzc6NXr17s37/f0Fl64Dzpal/naaqKew2eD3Yj+cd8gpyb89ba77FrZGnoLCmKoiiK3rRp0+jbt2+5sKioKOLj49FoNGg0Gr766isAYmNjCQwMRKPREBgYSGxsLAApKSn6dePj44mKirrv5agL96LivmzZMrp27Xq3WbsviouL79u2nJyc+Oabbzhw4ADTpk1jwoQJ923b9YUQdX+jV1Xcq/HKIG8WbzuIT4smTEvOwKVN3Y/HqSiKotyd32bN4sSz4XX6+k03FXxt7Nq1i759+zJ8+HA6duxITEwMiYmJ+Pj44OrqyrFj2g5q//nPf/D19aV79+488cQTnDlzBoDo6GhmzJgBaMczDwgIoKSkpFbbzsrK4syZM+Wmqs/Pz6ewsJCePXsihCA8PJzk5GQAvvjiC8aMGQPAmDFjyoWHh4cjhMDPz48LFy6Qn59f632wdu1afHx88PDw4LnnnuPmzZuA9qnE1KlTcXd3x8/PT1/mDRs24OLigru7OwEBAVWmm5CQwKBBg+jfvz+dOnXi3Xff1S+bN28eLi4uuLi4sGDBAgBiYmI4duwYHh4evPbaawDMmTMHb29v3NzceOeddwDIzc2lS5cujB8/nm7duhEcHExRURFJSUlkZmYSFhaGh4cHRUVF5e6mR0VF4eXlRbdu3fRp1UZV8TIyMujVqxfu7u74+Phw6dIlbt68yauvvoqrqytubm588sknQPknHJmZmfTr1w+A6dOnM2HCBIKDgwkPDyc3N5c+ffrQo0cPevTowffff6/f3ocffoirqyvu7u76fdWjRw/9co1Gg6enZ63K1KtXL5o2bQqAn58feXl5td4fyp1T47hXYVKwG4u3HaRHs0ZM27iNPt3aGjpLiqIoygNq//795OTkYGdnR7t27YiMjCQ9PZ2PPvqITz75hAULFtC7d29SU1MRQrBs2TI+/PBD5s6dS2xsLN7e3vTp04fo6Gg2b96MmZkZiYmJzJkz55ZtOTs7k5SURElJCa+88gpr1qxhx44d+uWnTp3C0dFR/9nR0ZFTp04BcObMGezttY/v7e3t+f333/VxWrdufUuc0nWrk5OTw7p16/juu++wsLBg0qRJJCYmEh4ezpUrV/Dz82PmzJm8/vrrLF26lLfeeosZM2awZcsWHBwcuHDhQrXpp6enc+jQIWxsbPD29ubJJ59ECMHKlStJS0tDSomvry99+/YlNjaWQ4cOkZ2dDcDWrVvRaDSkp6cjpSQ0NJRvv/2WNm3aoNFo+Oyzz1i6dCnDhw9n48aNjB49mk8//ZS4uDi8vG6dpX7mzJnY2dlx8+ZNAgMDOXDgAG5ubjXuo8ride7cmREjRrBu3Tq8vb0pLCzE2tqa+Ph4jh8/zr59+2jQoAEFBQU1pp+VlcWePXuwtrbm6tWrbNu2DSsrKzQaDSNHjiQzM5OUlBSSk5NJS0vDxsaGgoIC7OzssLW1JTs7Gw8PD1auXKmf8Orll19m586dt2zrmWeeISYmplzY8uXLGTBgQI35VO6eqrhXcOXiWYZ5dyNF8zveLRoz56tU+na/N9PWKoqiKHfvkf/5H0NnAW9vb30lt3379vo74K6urvrKT15eHiNGjCA/P5/r16/j5OQEgI2NDUuXLiUgIID58+fTvn17AMLCwggLC6tym4sWLWLgwIHlKtyAvj17WTU9sr+TOKV27NhBVlYW3t7eABQVFdGiRQsALC0teeqppwDw9PRk27ZtAPj7+xMREcHw4cMZMmRItekHBQXRrFkzAIYMGcKePXsQQjB48GAaNWqkD9+9ezehoaHl4m7dupWtW7fSvbt23pXLly+j0Who06YNTk5OeHh46POWm5tbY1nXr19PfHw8xcXF5Ofnc/jw4VpV3CuLJ4TA3t5ev98eeughALZv387EiRNp0EBbRbOzq/lpf2hoKNbW1gDcuHGDyZMnk52djbm5OUeOHNGnO3bsWGxsbMqlGxkZycqVK5k3bx7r1q0jPT0dgPnz59e4XYCdO3eyfPly9uzZU6v1lbvzQFTchRD9gY8Ac2CZlDK2wvKGwGrAEzgHjJBS5uqWvQmMA24C0VLKLXeajy8T4njtxbfJKSxiQOeWxKVk0rWtY80RFUVRFJPWsGFD/XszMzP9ZzMzM3274xdeeIEpU6YQGhrKrl27mD59uj7OwYMHadasWbm21TXdcd+7dy+7d+9m0aJFXL58mevXr9O4cWNefPHFcs0W8vLyaNWqFQAtW7YkPz8fe3t78vPz9RVsR0dHfv3110rj1ERKyZgxY5g9e/YtyywsLPQXAObm5vp9sWTJEtLS0vjyyy/x8PAgOztbXzmvqOIFhBCi0guNqvL25ptv8txzz5ULz83NLXfMzM3NKSoqqjat48ePExcXR0ZGBk2bNiUiIoJr167VmIeq4kkpK704qiq8QYMG+iZUFbdbegED2gp3y5Yt2b9/PyUlJVhZWVWb7tChQ3n33Xd5/PHH8fT01B+H2txxP3DgAJGRkaSkpFR5/JS6ZfA27kIIc2AhMADoCowUQlTsBTIOOC+ldAbmAx/o4nYFngG6Af2BRbr0bsvhrF38w9WBIf98ndNX/mTCUz5s3H9KVdoVRVGUOnPx4kUcHBwAWLVqlT78xIkTzJ07l3379pGSkkJaWhqgveOenZ19yyspKQnQVuxPnjxJbm4ucXFxhIeHExsbi729PU2aNCE1NRUpJatXr2bQoEGA9s5s6bZXrVpVLnz16tVIKUlNTcXW1lb/BKFz587VliswMJCkpCR9s5uCggJOnDhRbZxjx47h6+vLjBkzaN68ebmLhoq2bdtGQUEBRUVFJCcn4+/vT0BAAMnJyVy9epUrV66wadMm+vTpQ5MmTbh06ZI+bkhICCtWrODy5cuAtklQaT6rUjGNUoWFhTRq1AhbW1vOnDlDSkpKtenUFK9z586cPn2ajIwMAC5dukRxcTHBwcEsWbJEf5FT2lSmbdu2ZGVlAbBx48Yqt3fx4kXs7e0xMzNjzZo1+v4GwcHBrFixgqtXr5ZL18rKipCQEKKiohg7dqw+nfnz51f6/SuttJ88eZIhQ4awZs0aOnbsWKt9ody9B+GOuw9wVEr5C4AQ4l/AIKDs2EuDgOm690nAp0J72TgI+JeU8k/guBDiqC69vTVt9Kf9qfzr0/f5duv3pOZd4FqJpLfD33j540UMHjKyzgqnKIqiKKDtRDhs2DAcHBzw8/Pj+PHjSCkZN24ccXFxtGrViuXLlxMREUFGRob+TumdWLx4MRERERQVFTFgwAB9++OYmBiGDx/O8uXLadOmDRs2bABg4MCBbN68GWdnZ2xsbFi5ciUAZ8+erfHudteuXXn//fcJDg6mpKQECwsLFi5cyKOPPlplnNdeew2NRoOUksDAQNzd3atct3fv3jz77LMcPXqUUaNG6dueR0RE4OPjA2ibe5Q2h/H398fFxYUBAwYwZ84ccnJy6NmzJ6DtLLt27VrMzau+xxcREcHEiROxtrZm796/qhPu7u50796dbt260a5dO/z9/avdLzXFs7S0ZN26dbzwwgsUFRVhbW3N9u3biYyM5MiRI7i5uWFhYcH48eOZPHky77zzDuPGjWPWrFn4+vpWub1JkyYxdOhQNmzYwGOPPaa/G9+/f3+ys7Px8vLC0tKSgQMHMkvXCTssLIzPP/+8XCfnmsyYMYNz584xadIkQPtEwNSGxDQEUdvHTfcsA0I8DfSXUkbqPj8L+EopJ5dZ55BunTzd52OAL9rKfKqUcq0ufDmQIqVMqm6b5kLI0v76jczM8G39N4Y+P4GoV2fdk6F7FEVR6ooQIktKeWuvOSPm5eUlK1YIcnJy6NKli4FyZDr++9//8ssvvxAdHW2Q7QybN/MAAAhTSURBVCckJJCZmcmnn35qkO2biri4OC5evMh7771X52mb+m+1rs/ZD8Id98pqyhWvJqpapzZxtQkIMQGYANCkoTkDXFvj4uNF2JT3aNe++seAiqIoimKKSjuWKsZr8ODBHDt2jK+//trQWVFq4UGouOcBZbvEOwKnq1gnTwjRALAFCmoZFwApZTwQD9q7N+sy1OMcRVEURXkQbNmyhTfeeKNcmJOTE5s2bdIPT1gf+Pr68ueff5YLW7NmDa6urgbKUc02bdpk6Cwot+FBqLhnAB2EEE7AKbSdTUdVWOffwBi0bdefBr6WUkohxL+B/xNCzANaAR2A9PuWc0VRFBMjhLAD1gFtgVxguJTyfIV1HgU+RztSmAXwiZRyiW6ZJ5AAWAObgRelodtsKgYXEhJCSEiIobNx10o7FivKvWLwUWWklMXAZGALkAOsl1L+KISYIYQoHZB1OdBM1/l0ChCji/sjsB5tR9avgOellDfvdxkURVFMSAywQ0rZAdih+1xRPtBLSumBtj9SjBCidGzBxWibLXbQvfrfaUZUfV9RHmzqN1r3HoQ77kgpN6O981I27O0y768Bw6qIOxOYeU8zqCiKopQaBPTTvV8F7ALKtXGQUl4v87EhuptEQgh74CEp5V7d59XAP4DajatXhpWVFefOnaNZs2ZqUAFFeQBJKTl37txdjY6k3OqBqLgriqIo9UZLKWU+gJQyXwjRorKVhBCtgS8BZ+A1KeVpIYQX2r5JpfIAhzvJhKOjI3l5efzxxx93El1RlPvAysoKR0c1J05dUhV3RVEUpRwhxHbgkUoWTa1tGlLKXwE3XROZZCFEEnc4ElibNm1uWW5hYYGTk1Nts6MoimIUVMVdURRFKUdK+URVy4QQZ4QQ9rq77fZAtdNQ6u60/wj0Ab5DO/pXqVqPBHabRVAURTFKBu+cqiiKotQrpaN8ofv7RcUVhBCOQghr3fumgD/ws66JzSUhhJ9u9uvwyuIriqIolVMVd0VRFOV2xAJBQggNEKT7jBDCSwixTLdOFyBNCLEf+AaIk1Ie1C2LApYBR4Fj3EHHVEVRFFMlTG2oHl27yZnACUPn5T5qDpw1dCbuM1Vm02CKZe4kpWxi6EzcT0KIS8DPhs7HfWZq321TKy+oMpuKOj1nm2Ib9wlSyocNnYn7SQiRKaX0MnQ+7idVZtNgqmU2dB4M4GdTPM6mVGZTKy+oMpuKuj5nq6YyiqIoiqIoilIPqIq7oiiKoiiKotQDplhxjzd0BgxAldk0qDKbBlVm02BqZTa18oIqs6mo0zKbXOdURVEURVEURamPTPGOu6IoiqIoiqLUOyZVcRdC9BdC/CyEOCqEiDF0fuqSECJXCHFQCJFd2oNZCGEnhNgmhNDo/jbVhQshxMe6/XBACNHDsLmvHSHECiHE70KIQ2XCbruMQogxuvU1QogxlW3rQVFFmacLIU7pjnW2EGJgmWVv6sr8sxAipEx4vfjuCyFaCyF2CiFyhBA/CiFe1IUb7XGupsxGe5xry9jKU5Y6ZxvfbxlM75wNpnfeNvg5W0ppEi/AHO1kH+0AS2A/0NXQ+arD8uUCzSuEfQjE6N7HAB/o3g9EO+mJAPyANEPnv5ZlDAB6AIfutIyAHfCL7m9T3fumhi7bbZZ5OvBqJet21X2vGwJOuu+7eX367gP2QA/d+ybAEV25jPY4V1Nmoz3OtdwvRlWeSsqnztlG9luupsxG/Vs2tfO2oc/ZpnTH3Qc4KqX8RUp5HfgXMMjAebrXBgGrdO9XAf8oE75aaqUCfxNC2Bsig7dDSvktUFAh+HbLGAJsk1IWSCnPA9uA/vc+93emijJXZRDwLynln1LK42hnpvShHn33pZT5UsofdO8vATmAA0Z8nKspc1Xq/XGuJWMrT22oc3Y9/i2D6Z2zwfTO24Y+Z5tSxd0B+LXM5zyq39H1jQS2CiGyhHZ2WICWUsp80H7RgBa6cGPaF7dbRmMp+2TdI8YVpY8fMbIyCyHaAt2BNEzkOFcoM5jAca6GsZWnInXONuLfciVM4rdsaudtQ5yzTaniLioJM6YhdfyllD2AAcDzQoiAatY19n0BVZfRGMq+GGgPeAD5wFxduNGUWQjRGNgIvCSlLKxu1UrCjKXMRn+ca2Bs5alInbPLM+bvtUn8lk3tvG2oc7YpVdzzgNZlPjsCpw2UlzonpTyt+/s7sAntI5gzpY9TdX9/161uTPvidstY78supTwjpbwppSwBlqI91mAkZRZCWKA9GSZKKT/XBRv1ca6szMZ+nGvB2MpTjjpnG+dvuTKm8Fs2tfO2Ic/ZplRxzwA6CCGchBCWwDPAvw2cpzohhGgkhGhS+h4IBg6hLV9pr+wxwBe69/8GwnU9u/2Ai6WPs+qh2y3jFiBYCNFU9xgrWBdWb1Ro2zoY7bEGbZmfEUI0FEI4AR2AdOrRd18IIYDlQI6Ucl6ZRUZ7nKsqszEf51oytvLoqXO2cf6Wq2Lsv2VTO28b/JxdVa9VY3yh7cl8BG0v3qmGzk8dlqsd2t7I+4EfS8sGNAN2ABrdXztduAAW6vbDQcDL0GWoZTk/Q/v46QbaK9Vxd1JG4J9oO4ccBcYaulx3UOY1ujId0P3I7cusP1VX5p+BAWXC68V3H+iN9lHhASBb9xpozMe5mjIb7XG+jX1jVOUpUy51zjbC33I1ZTbq37KpnbcNfc5WM6cqiqIoiqIoSj1gSk1lFEVRFEVRFKXeUhV3RVEURVEURakHVMVdURRFURRFUeoBVXFXFEVRFEVRlHpAVdwVRVEURVEUpR5QFXdFURRFURRFqQdUxV1RFEVRFEVR6gFVcVcURVEURVGUeuD/AQWq6rWENvChAAAAAElFTkSuQmCC
+"
+>
+</div>
+
+</div>
+
+</div>
+</div>
+
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[7]:</div>
 <div class="inner_cell">
     <div class="input_area">
 <div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#You can calculate spectra for different primordial power spectra without recalculating everything</span>
 <span class="c1">#for example, let&#39;s plot the BB spectra as a function of r</span>
+<span class="n">pars</span><span class="o">.</span><span class="n">set_for_lmax</span><span class="p">(</span><span class="mi">4000</span><span class="p">,</span> <span class="n">lens_potential_accuracy</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
 <span class="n">pars</span><span class="o">.</span><span class="n">WantTensors</span> <span class="o">=</span> <span class="bp">True</span>
 <span class="n">results</span> <span class="o">=</span> <span class="n">camb</span><span class="o">.</span><span class="n">get_transfer_functions</span><span class="p">(</span><span class="n">pars</span><span class="p">)</span>
 <span class="n">lmax</span><span class="o">=</span><span class="mi">2000</span>
 <span class="n">rs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="mf">0.2</span><span class="p">,</span><span class="mi">6</span><span class="p">)</span>
 <span class="k">for</span> <span class="n">r</span> <span class="ow">in</span> <span class="n">rs</span><span class="p">:</span>
-    <span class="n">inflation_params</span> <span class="o">=</span> <span class="n">initialpower</span><span class="o">.</span><span class="n">InitialPowerParams</span><span class="p">()</span>
+    <span class="n">inflation_params</span> <span class="o">=</span> <span class="n">initialpower</span><span class="o">.</span><span class="n">InitialPowerLaw</span><span class="p">()</span>
     <span class="n">inflation_params</span><span class="o">.</span><span class="n">set_params</span><span class="p">(</span><span class="n">ns</span><span class="o">=</span><span class="mf">0.96</span><span class="p">,</span> <span class="n">r</span><span class="o">=</span><span class="n">r</span><span class="p">)</span>
     <span class="n">results</span><span class="o">.</span><span class="n">power_spectra_from_transfer</span><span class="p">(</span><span class="n">inflation_params</span><span class="p">)</span>
     <span class="n">cl</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">get_total_cls</span><span class="p">(</span><span class="n">lmax</span><span class="p">,</span> <span class="n">CMB_unit</span><span class="o">=</span><span class="s1">&#39;muK&#39;</span><span class="p">)</span>
     <span class="n">plt</span><span class="o">.</span><span class="n">loglog</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">lmax</span><span class="o">+</span><span class="mi">1</span><span class="p">),</span><span class="n">cl</span><span class="p">[:,</span><span class="mi">2</span><span class="p">])</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">xlim</span><span class="p">([</span><span class="mi">2</span><span class="p">,</span><span class="n">lmax</span><span class="p">])</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="s2">&quot;$r = </span><span class="si">%s</span><span class="s2">$&quot;</span><span class="o">%</span><span class="k">r</span> for r in  rs], loc=&#39;lower right&#39;);
-<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">r&#39;$\ell(\ell+1)C_\ell^{BB}/ (2\pi \mu{\rm K}^2)$&#39;</span><span class="p">)</span>
-<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">r&#39;$\ell$&#39;</span><span class="p">);</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$\ell(\ell+1)C_\ell^{BB}/ (2\pi \mu{\rm K}^2)$&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$\ell$&#39;</span><span class="p">);</span>
 </pre></div>
 
 </div>
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 >
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@@ -2150,7 +12087,7 @@
 </div>
 <div class="cell border-box-sizing code_cell rendered">
 <div class="input">
-<div class="prompt input_prompt">In&nbsp;[7]:</div>
+<div class="prompt input_prompt">In&nbsp;[8]:</div>
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 <div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#Now get matter power spectra and sigma8 at redshift 0 and 0.8</span>
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-<div class="output_area"><div class="prompt"></div>
+<div class="output_area">
+
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+
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 <pre>Note: redshifts have been re-sorted (earliest first)
 </pre>
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 </div>
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 <div class="input">
-<div class="prompt input_prompt">In&nbsp;[8]:</div>
+<div class="prompt input_prompt">In&nbsp;[9]:</div>
 <div class="inner_cell">
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-<div class="output_area"><div class="prompt"></div>
+<div class="output_area">
+
+<div class="prompt"></div>
+
+
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-<pre>[ 0.53303062  0.80257025]
+<pre>[0.53303049 0.80257007]
 </pre>
 </div>
 </div>
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-<div class="prompt input_prompt">In&nbsp;[9]:</div>
+<div class="prompt input_prompt">In&nbsp;[10]:</div>
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 <div class=" highlight hl-ipython2"><pre><span></span><span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="p">(</span><span class="n">redshift</span><span class="p">,</span> <span class="n">line</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="n">z</span><span class="p">,[</span><span class="s1">&#39;-&#39;</span><span class="p">,</span><span class="s1">&#39;--&#39;</span><span class="p">])):</span>
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 >
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@@ -2598,7 +12206,7 @@
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-<div class="prompt input_prompt">In&nbsp;[10]:</div>
+<div class="prompt input_prompt">In&nbsp;[11]:</div>
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 <div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#Plot CMB lensing potential power for various values of w</span>
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
 "
 >
 </div>
@@ -3081,7 +12259,7 @@
 </div>
 <div class="cell border-box-sizing code_cell rendered">
 <div class="input">
-<div class="prompt input_prompt">In&nbsp;[11]:</div>
+<div class="prompt input_prompt">In&nbsp;[12]:</div>
 <div class="inner_cell">
     <div class="input_area">
 <div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#You can view the parameters (as used by fortran CAMB) using print. </span>
@@ -3093,11 +12271,15 @@
 </div>
 </div>
 
-<div class="output_wrapper">
-<div class="output">
+<div class="output_wrapper">
+<div class="output">
+
+
+<div class="output_area">
+
+<div class="prompt"></div>
 
 
-<div class="output_area"><div class="prompt"></div>
 <div class="output_subarea output_stream output_stdout output_text">
 <pre>WantCls = 1
 WantTransfer = 0
@@ -3110,6 +12292,7 @@
 PK_WantTransfer = 0
 NonLinear = 2
 Want_CMB = 1
+Want_CMB_lensing = 1
 max_l = 2150
 max_l_tensor = 600
 max_eta_k = 18000.0
@@ -3130,23 +12313,8 @@
 nu_mass_numbers = [1, 0, 0, 0, 0]
 scalar_initial_condition = 1
 OutputNormalization = 1
-AccuratePolarization = 1
-AccurateBB = 0
-AccurateReionization = 1
+Alens = 1.0
 MassiveNuMethod = 3
-InitPower:
-  tensor_parameterization = 2
-  nn = 1
-  an = [0.965, 1.0, 1.0, 1.0, 1.0]
-  n_run = [0.0, 0.0, 0.0, 0.0, 0.0]
-  n_runrun = [0.0, 0.0, 0.0, 0.0, 0.0]
-  ant = [-0.0, 0.0, 0.0, 0.0, 0.0]
-  nt_run = [-0.0, 0.0, 0.0, 0.0, 0.0]
-  rat = [0.0, 1.0, 1.0, 1.0, 1.0]
-  k_0_scalar = 0.05
-  k_0_tensor = 0.05
-  ScalarPowerAmp = [2e-09, 1.0, 1.0, 1.0, 1.0]
-  TensorPowerAmp = [1.0, 1.0, 1.0, 1.0, 1.0]
 Reion:
   Reionization = 1
   use_optical_depth = 0
@@ -3164,6 +12332,7 @@
   RECFAST_Hswitch = 1
 Transfer:
   high_precision = 0
+  accurate_massive_neutrinos = 0
   num_redshifts = 1
   kmax = 0.899999976158
   k_per_logint = 0
@@ -3174,25 +12343,51 @@
   NLL_redshifts_index = [0, 0, 0, 0, 0, 0, 0]
   PK_num_redshifts = 1
   NLL_num_redshifts = 0
+Accuracy:
+  lSampleBoost = 1.0
+  AccuracyBoost = 1.0
+  lAccuracyBoost = 1.0
+  AccuratePolarization = 1
+  AccurateBB = 0
+  AccurateReionization = 1
+  TimeStepBoost = 1.0
+  IntTolBoost = 1.0
+  SourcekAccuracyBoost = 1.0
+  IntkAccuracyBoost = 1.0
+  TransferkBoost = 1.0
+  NonFlatIntAccuracyBoost = 1.0
+  BessIntBoost = 1.0
+  BesselBoost = 1.0
+  LimberBoost = 1.0
+  Kmax_Boost = 1.0
+DoLateRadTruncation = 1
+Evolve_baryon_cs = 0
+Evolve_delta_xe = 0
+Evolve_delta_Ts = 0
 InitialConditionVector = [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
 OnlyTransfers = 0
 DerivedParameters = 1
-ReionHist:
-  tau_start = 0.0
-  tau_complete = 0.0
-  akthom = 0.0
-  fHe = 0.0
-  WindowVarMid = 0.0
-  WindowVarDelta = 0.0
-flat = 0
-closed = 0
-open = 0
-omegak = 0.0
-curv = 0.0
-r = 0.0
-Ksign = 0.0
-tau0 = 0.0
-chi0 = 0.0
+InitPower:
+  tensor_parameterization = 2
+  ns = 0.965
+  nrun = 0.0
+  nrunrun = 0.0
+  nt = -0.0
+  ntrun = -0.0
+  r = 0.0
+  pivot_scalar = 0.05
+  pivot_tensor = 0.05
+  As = 2e-09
+  At = 1.0
+DarkEnergy:
+  w = -1.0
+  wa = 0.0
+  cs2 = 1.0
+  use_tabulated_w = 0
+  no_perturbations = 0
+NonLinearModel:
+  Min_kh_nonlinear = 0.005
+  halofit_version = 4
 
 </pre>
 </div>
@@ -3204,7 +12399,7 @@
 </div>
 <div class="cell border-box-sizing code_cell rendered">
 <div class="input">
-<div class="prompt input_prompt">In&nbsp;[12]:</div>
+<div class="prompt input_prompt">In&nbsp;[13]:</div>
 <div class="inner_cell">
     <div class="input_area">
 <div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#Get various background functions and derived parameters</span>
@@ -3222,9 +12417,13 @@
 <div class="output">
 
 
-<div class="output_area"><div class="prompt"></div>
+<div class="output_area">
+
+<div class="prompt"></div>
+
+
 <div class="output_subarea output_stream output_stdout output_text">
-<pre>Derived parameter dictionary: {&apos;rdrag&apos;: 146.97861407805524, &apos;rstar&apos;: 144.1990827302238, &apos;age&apos;: 13.740500129586403, &apos;kd&apos;: 0.14069704144187056, &apos;zdrag&apos;: 1059.2079162597656, &apos;thetaeq&apos;: 0.8080688332825077, &apos;zstar&apos;: 1090.5690167257048, &apos;thetarseq&apos;: 0.44700138490487534, &apos;zeq&apos;: 3441.168556293452, &apos;thetad&apos;: 0.161748306743081, &apos;thetastar&apos;: 1.0445694817769533, &apos;keq&apos;: 0.010502751815052997, &apos;DAstar&apos;: 13.804642510225527}
+<pre>Derived parameter dictionary: {&#39;rdrag&#39;: 146.97861407805524, &#39;rstar&#39;: 144.19931900043497, &#39;age&#39;: 13.740500129586406, &#39;kd&#39;: 0.1406954508006407, &#39;zdrag&#39;: 1059.2079162597656, &#39;thetaeq&#39;: 0.8080688636898877, &#39;zstar&#39;: 1090.5662949147754, &#39;thetarseq&#39;: 0.44700140172539904, &#39;zeq&#39;: 3441.168556293452, &#39;thetad&#39;: 0.16175014148529962, &#39;thetastar&#39;: 1.0445712326110421, &#39;keq&#39;: 0.010502751815052997, &#39;DAstar&#39;: 13.804641990761123}
 </pre>
 </div>
 </div>
@@ -3235,14 +12434,14 @@
 </div>
 <div class="cell border-box-sizing code_cell rendered">
 <div class="input">
-<div class="prompt input_prompt">In&nbsp;[13]:</div>
+<div class="prompt input_prompt">In&nbsp;[14]:</div>
 <div class="inner_cell">
     <div class="input_area">
 <div class=" highlight hl-ipython2"><pre><span></span><span class="n">z</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="mi">4</span><span class="p">,</span><span class="mi">100</span><span class="p">)</span>
 <span class="n">DA</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">angular_diameter_distance</span><span class="p">(</span><span class="n">z</span><span class="p">)</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">z</span><span class="p">,</span> <span class="n">DA</span><span class="p">)</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;$z$&#39;</span><span class="p">)</span>
-<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">r&#39;$D_A /\rm{Mpc}$&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$D_A /\rm{Mpc}$&#39;</span><span class="p">)</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Angular diameter distance&#39;</span><span class="p">)</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span><span class="mi">2000</span><span class="p">]);</span>
 </pre></div>
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-<div class="prompt input_prompt">In&nbsp;[14]:</div>
+<div class="prompt input_prompt">In&nbsp;[15]:</div>
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 <div class=" highlight hl-ipython2"><pre><span></span><span class="k">print</span><span class="p">(</span><span class="s1">&#39;CosmoMC theta_MC parameter: </span><span class="si">%s</span><span class="s1">&#39;</span><span class="o">%</span><span class="k">results</span>.cosmomc_theta())
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 <pre>CosmoMC theta_MC parameter: 0.01044349756
 </pre>
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 </div>
 <div class="cell border-box-sizing code_cell rendered">
 <div class="input">
-<div class="prompt input_prompt">In&nbsp;[15]:</div>
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 <div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#You can also directly access some lower level quantities, for example the CMB transfer functions:</span>
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 <pre>Number of sources (T, E, phi..): 3; number of ell: 85; number of k: 2737 
 </pre>
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 <div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#Plot the transfer functions as a function of k for various ell</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">2</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">12</span><span class="p">,</span><span class="mi">8</span><span class="p">),</span> <span class="n">sharex</span> <span class="o">=</span> <span class="bp">True</span><span class="p">)</span>
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     <span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">transfer</span><span class="o">.</span><span class="n">q</span><span class="p">,</span><span class="n">transfer</span><span class="o">.</span><span class="n">delta_p_l_k</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="n">ix</span><span class="p">,:])</span>
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-    <span class="k">if</span> <span class="n">ix</span><span class="o">&gt;</span><span class="mi">1</span><span class="p">:</span> <span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">r&#39;$k \rm{Mpc}$&#39;</span><span class="p">)</span>
+    <span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$\ell = </span><span class="si">%s</span><span class="s1">$&#39;</span><span class="o">%</span><span class="k">transfer</span>.l[ix])
+    <span class="k">if</span> <span class="n">ix</span><span class="o">&gt;</span><span class="mi">1</span><span class="p">:</span> <span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$k \rm{Mpc}$&#39;</span><span class="p">)</span>
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 >
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@@ -3984,7 +12592,7 @@
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-<div class="prompt input_prompt">In&nbsp;[17]:</div>
+<div class="prompt input_prompt">In&nbsp;[18]:</div>
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 <div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#Note that internal samplings can be quite sparsely sampled, e.g. look at l=2 transfer function</span>
@@ -3993,8 +12601,8 @@
     <span class="k">for</span> <span class="n">source_ix</span><span class="p">,</span> <span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">ax</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="nb">zip</span><span class="p">([</span><span class="s1">&#39;T&#39;</span><span class="p">,</span> <span class="s1">&#39;E&#39;</span><span class="p">],</span> <span class="n">axs</span><span class="p">)):</span>
         <span class="n">ax</span><span class="o">.</span><span class="n">semilogx</span><span class="p">(</span><span class="n">trans</span><span class="o">.</span><span class="n">q</span><span class="p">,</span><span class="n">trans</span><span class="o">.</span><span class="n">delta_p_l_k</span><span class="p">[</span><span class="n">source_ix</span><span class="p">,</span><span class="n">ix</span><span class="p">,:])</span>
         <span class="n">ax</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">([</span><span class="mf">1e-5</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">])</span>
-        <span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">r&#39;$k \rm{Mpc}$&#39;</span><span class="p">)</span>
-        <span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">r&#39;</span><span class="si">%s</span><span class="s1"> transfer function for $\ell = </span><span class="si">%s</span><span class="s1">$&#39;</span><span class="o">%</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">trans</span><span class="o">.</span><span class="n">l</span><span class="p">[</span><span class="n">ix</span><span class="p">]))</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$k \rm{Mpc}$&#39;</span><span class="p">)</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;</span><span class="si">%s</span><span class="s1"> transfer function for $\ell = </span><span class="si">%s</span><span class="s1">$&#39;</span><span class="o">%</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">trans</span><span class="o">.</span><span class="n">l</span><span class="p">[</span><span class="n">ix</span><span class="p">]))</span>
 <span class="n">plot_cmb_transfer_l</span><span class="p">(</span><span class="n">transfer</span><span class="p">,</span><span class="mi">0</span><span class="p">)</span>
 </pre></div>
 
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
 "
 >
 </div>
@@ -5085,7 +12674,7 @@
 </div>
 <div class="cell border-box-sizing code_cell rendered">
 <div class="input">
-<div class="prompt input_prompt">In&nbsp;[19]:</div>
+<div class="prompt input_prompt">In&nbsp;[20]:</div>
 <div class="inner_cell">
     <div class="input_area">
 <div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#Similarly for tensor transfer function </span>
@@ -5097,7 +12686,7 @@
 <span class="n">pars</span><span class="o">.</span><span class="n">set_accuracy</span><span class="p">(</span><span class="n">AccuracyBoost</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
 <span class="n">data</span> <span class="o">=</span> <span class="n">camb</span><span class="o">.</span><span class="n">get_transfer_functions</span><span class="p">(</span><span class="n">pars</span><span class="p">)</span>
 <span class="n">transfer</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">get_cmb_transfer_data</span><span class="p">(</span><span class="s1">&#39;tensor&#39;</span><span class="p">)</span>
-<span class="k">print</span><span class="p">(</span><span class="s1">r&#39;Calculated L: </span><span class="si">%s</span><span class="s1">&#39;</span><span class="o">%</span><span class="k">transfer</span>.l)
+<span class="k">print</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;Calculated L: </span><span class="si">%s</span><span class="s1">&#39;</span><span class="o">%</span><span class="k">transfer</span>.l)
 <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">14</span><span class="p">,</span><span class="mi">3</span><span class="p">))</span>
 <span class="n">ixs</span><span class="o">=</span><span class="p">[</span><span class="mi">13</span><span class="p">,</span><span class="mi">19</span><span class="p">,</span><span class="mi">21</span><span class="p">]</span>
 <span class="n">ls</span> <span class="o">=</span> <span class="p">[</span><span class="n">transfer</span><span class="o">.</span><span class="n">l</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">ixs</span><span class="p">]</span>
@@ -5108,8 +12697,8 @@
     <span class="n">plt</span><span class="o">.</span><span class="n">semilogx</span><span class="p">(</span><span class="n">transfer</span><span class="o">.</span><span class="n">q</span><span class="p">,</span><span class="n">k_weight</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="n">col</span><span class="p">)</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">xlim</span><span class="p">([</span><span class="mf">1e-3</span><span class="p">,</span> <span class="mf">0.1</span><span class="p">])</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">ls</span><span class="p">)</span>
-<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">r&#39;$k \rm{Mpc}$&#39;</span><span class="p">)</span>
-<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">r&#39;Contribution to B from primordial tensor power spectrum for various $\ell$&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$k \rm{Mpc}$&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;Contribution to B from primordial tensor power spectrum for various $\ell$&#39;</span><span class="p">)</span>
 <span class="c1">#compare with k_* = l/chi*, note DAstar is in GPc, so multiply by 1000 to get standard Mpc units used for k</span>
 <span class="n">derived</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">get_derived_params</span><span class="p">()</span>
 <span class="k">for</span> <span class="n">l</span><span class="p">,</span><span class="n">col</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">ls</span><span class="p">,</span><span class="n">cols</span><span class="p">):</span>
@@ -5124,7 +12713,11 @@
 <div class="output">
 
 
-<div class="output_area"><div class="prompt"></div>
+<div class="output_area">
+
+<div class="prompt"></div>
+
+
 <div class="output_subarea output_stream output_stdout output_text">
 <pre>Calculated L: [  2   3   4   5   6   7   8   9  10  11  13  15  17  19  21  23  25  27
   29  31  33  35  37  40  45  50  55  60  65  70  75  80  85  90 110 130
@@ -5133,1044 +12726,15 @@
 </div>
 </div>
 
-<div class="output_area"><div class="prompt"></div>
+<div class="output_area">
+
+<div class="prompt"></div>
+
+
 
 
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
 "
 >
 </div>
@@ -6183,7 +12747,7 @@
 </div>
 <div class="cell border-box-sizing code_cell rendered">
 <div class="input">
-<div class="prompt input_prompt">In&nbsp;[20]:</div>
+<div class="prompt input_prompt">In&nbsp;[21]:</div>
 <div class="inner_cell">
     <div class="input_area">
 <div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#if you want to combine the transfer functions with the primordial power spectra, you can get the latter via</span>
@@ -6193,8 +12757,8 @@
 <span class="n">tensor_pk</span><span class="o">=</span> <span class="n">pars</span><span class="o">.</span><span class="n">tensor_power</span><span class="p">(</span><span class="n">k</span><span class="p">)</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">semilogx</span><span class="p">(</span><span class="n">k</span><span class="p">,</span><span class="n">scalar_pk</span><span class="p">);</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">semilogx</span><span class="p">(</span><span class="n">k</span><span class="p">,</span><span class="n">tensor_pk</span><span class="p">);</span>
-<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">r&#39;$k \rm{Mpc}$&#39;</span><span class="p">)</span>
-<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">r&#39;${\cal P}(k)$&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$k \rm{Mpc}$&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;${\cal P}(k)$&#39;</span><span class="p">)</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="s1">&#39;scalar&#39;</span><span class="p">,</span> <span class="s1">&#39;tensor&#39;</span><span class="p">]);</span>
 </pre></div>
 
@@ -6206,190 +12770,15 @@
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+<div class="output_area">
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+<div class="prompt"></div>
+
+
 
 
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@@ -6402,7 +12791,7 @@
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-<div class="prompt input_prompt">In&nbsp;[21]:</div>
+<div class="prompt input_prompt">In&nbsp;[22]:</div>
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 <div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#set_params is a shortcut routine for setting many things at once</span>
@@ -6417,7 +12806,7 @@
 </div>
 <div class="cell border-box-sizing code_cell rendered">
 <div class="input">
-<div class="prompt input_prompt">In&nbsp;[22]:</div>
+<div class="prompt input_prompt">In&nbsp;[23]:</div>
 <div class="inner_cell">
     <div class="input_area">
 <div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#There are functions get plot evolution of variables, e.g. for the background as a function of conformal time:</span>
@@ -6426,9 +12815,9 @@
 <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">12</span><span class="p">,</span><span class="mi">5</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">semilogx</span><span class="p">(</span><span class="n">eta</span><span class="p">,</span> <span class="n">back_ev</span><span class="p">[</span><span class="s1">&#39;x_e&#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">loglog</span><span class="p">(</span><span class="n">eta</span><span class="p">,</span> <span class="n">back_ev</span><span class="p">[</span><span class="s1">&#39;visibility&#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_xlabel</span><span class="p">(</span><span class="s1">r&#39;$\eta/\rm{Mpc}$&#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_xlabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$\eta/\rm{Mpc}$&#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_ylabel</span><span class="p">(</span><span class="s1">&#39;$x_e$&#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_xlabel</span><span class="p">(</span><span class="s1">r&#39;$\eta/\rm{Mpc}$&#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_xlabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$\eta/\rm{Mpc}$&#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_ylabel</span><span class="p">(</span><span class="s1">&#39;Visibility&#39;</span><span class="p">);</span>
 <span class="n">fig</span><span class="o">.</span><span class="n">suptitle</span><span class="p">(</span><span class="s1">&#39;Ionization history, including both hydrogen and helium recombination and reionization&#39;</span><span class="p">);</span>
 </pre></div>
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 >
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@@ -6862,7 +12851,7 @@
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-<div class="prompt input_prompt">In&nbsp;[23]:</div>
+<div class="prompt input_prompt">In&nbsp;[24]:</div>
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 <div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#or as a function of redshift</span>
@@ -6884,289 +12873,15 @@
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
 "
 >
 </div>
@@ -7179,7 +12894,7 @@
 </div>
 <div class="cell border-box-sizing code_cell rendered">
 <div class="input">
-<div class="prompt input_prompt">In&nbsp;[24]:</div>
+<div class="prompt input_prompt">In&nbsp;[25]:</div>
 <div class="inner_cell">
     <div class="input_area">
 <div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#and perturbation transfer functions, e.g. for k=0.1. Note that quantities are synchronous gauge unless otherwise specified</span>
@@ -7194,9 +12909,13 @@
 <div class="output">
 
 
-<div class="output_area"><div class="prompt"></div>
+<div class="output_area">
+
+<div class="prompt"></div>
+
+
 <div class="output_subarea output_stream output_stdout output_text">
-<pre>Available variables are [&apos;k/h&apos;, &apos;delta_cdm&apos;, &apos;delta_baryon&apos;, &apos;delta_photon&apos;, &apos;delta_neutrino&apos;, &apos;delta_nu&apos;, &apos;delta_tot&apos;, &apos;delta_nonu&apos;, &apos;delta_tot_de&apos;, &apos;Weyl&apos;, &apos;v_newtonian_cdm&apos;, &apos;v_newtonian_baryon&apos;, &apos;v_baryon_cdm&apos;, &apos;a&apos;, &apos;etak&apos;, &apos;H&apos;, &apos;growth&apos;, &apos;v_photon&apos;, &apos;pi_photon&apos;, &apos;E_2&apos;, &apos;v_neutrino&apos;, &apos;T_source&apos;, &apos;E_source&apos;, &apos;lens_potential_source&apos;]
+<pre>Available variables are [&#39;k/h&#39;, &#39;delta_cdm&#39;, &#39;delta_baryon&#39;, &#39;delta_photon&#39;, &#39;delta_neutrino&#39;, &#39;delta_nu&#39;, &#39;delta_tot&#39;, &#39;delta_nonu&#39;, &#39;delta_tot_de&#39;, &#39;Weyl&#39;, &#39;v_newtonian_cdm&#39;, &#39;v_newtonian_baryon&#39;, &#39;v_baryon_cdm&#39;, &#39;a&#39;, &#39;etak&#39;, &#39;H&#39;, &#39;growth&#39;, &#39;v_photon&#39;, &#39;pi_photon&#39;, &#39;E_2&#39;, &#39;v_neutrino&#39;, &#39;T_source&#39;, &#39;E_source&#39;, &#39;lens_potential_source&#39;]
 </pre>
 </div>
 </div>
@@ -7207,7 +12926,7 @@
 </div>
 <div class="cell border-box-sizing code_cell rendered">
 <div class="input">
-<div class="prompt input_prompt">In&nbsp;[25]:</div>
+<div class="prompt input_prompt">In&nbsp;[26]:</div>
 <div class="inner_cell">
     <div class="input_area">
 <div class=" highlight hl-ipython2"><pre><span></span><span class="n">eta</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">400</span><span class="p">,</span> <span class="mi">300</span><span class="p">)</span>
@@ -7218,8 +12937,8 @@
     <span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">eta</span><span class="p">,</span><span class="n">ev</span><span class="p">[</span><span class="n">i</span><span class="p">,:,</span> <span class="mi">0</span><span class="p">])</span>
     <span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">eta</span><span class="p">,</span><span class="n">ev</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="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">&#39;$k= </span><span class="si">%s</span><span class="s1">$&#39;</span><span class="o">%</span><span class="k">ks</span>[i])
-    <span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">r&#39;$\eta/\rm{Mpc}$&#39;</span><span class="p">);</span>
-<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="s1">r&#39;$\Delta_b$&#39;</span><span class="p">,</span> <span class="s1">r&#39;$\Delta_\gamma$&#39;</span><span class="p">],</span> <span class="n">loc</span> <span class="o">=</span> <span class="s1">&#39;upper left&#39;</span><span class="p">);</span>
+    <span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$\eta/\rm{Mpc}$&#39;</span><span class="p">);</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="sa">r</span><span class="s1">&#39;$\Delta_b$&#39;</span><span class="p">,</span> <span class="sa">r</span><span class="s1">&#39;$\Delta_\gamma$&#39;</span><span class="p">],</span> <span class="n">loc</span> <span class="o">=</span> <span class="s1">&#39;upper left&#39;</span><span class="p">);</span>
 </pre></div>
 
 </div>
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
 "
 >
 </div>
@@ -7809,7 +12970,7 @@
 </div>
 <div class="cell border-box-sizing code_cell rendered">
 <div class="input">
-<div class="prompt input_prompt">In&nbsp;[26]:</div>
+<div class="prompt input_prompt">In&nbsp;[27]:</div>
 <div class="inner_cell">
     <div class="input_area">
 <div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#or as a function of redshift</span>
@@ -7821,9 +12982,9 @@
     <span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">z</span><span class="p">,</span><span class="n">ev</span><span class="p">[</span><span class="n">i</span><span class="p">,:,</span> <span class="mi">0</span><span class="p">])</span>
     <span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">z</span><span class="p">,</span><span class="n">ev</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="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">z</span><span class="p">,</span><span class="n">ev</span><span class="p">[</span><span class="n">i</span><span class="p">,:,</span> <span class="mi">2</span><span class="p">])</span>
-    <span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">r&#39;$k= </span><span class="si">%s</span><span class="s1">/\rm{Mpc}$&#39;</span><span class="o">%</span><span class="k">ks</span>[i])
+    <span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$k= </span><span class="si">%s</span><span class="s1">/\rm{Mpc}$&#39;</span><span class="o">%</span><span class="k">ks</span>[i])
     <span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">&#39;$z$&#39;</span><span class="p">);</span>
-<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="s1">r&#39;$\Delta_b$&#39;</span><span class="p">,</span> <span class="s1">r&#39;$\Delta_c$&#39;</span><span class="p">,</span> <span class="s1">r&#39;$\Delta_\gamma$&#39;</span><span class="p">],</span> <span class="n">loc</span> <span class="o">=</span> <span class="s1">&#39;upper right&#39;</span><span class="p">);</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="sa">r</span><span class="s1">&#39;$\Delta_b$&#39;</span><span class="p">,</span> <span class="sa">r</span><span class="s1">&#39;$\Delta_c$&#39;</span><span class="p">,</span> <span class="sa">r</span><span class="s1">&#39;$\Delta_\gamma$&#39;</span><span class="p">],</span> <span class="n">loc</span> <span class="o">=</span> <span class="s1">&#39;upper right&#39;</span><span class="p">);</span>
 </pre></div>
 
 </div>
@@ -7834,465 +12995,15 @@
 <div class="output">
 
 
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+<div class="output_area">
+
+<div class="prompt"></div>
+
+
 
 
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
 "
 >
 </div>
@@ -8305,7 +13016,7 @@
 </div>
 <div class="cell border-box-sizing code_cell rendered">
 <div class="input">
-<div class="prompt input_prompt">In&nbsp;[27]:</div>
+<div class="prompt input_prompt">In&nbsp;[28]:</div>
 <div class="inner_cell">
     <div class="input_area">
 <div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#Here you can see oscillation of delta_photon, subsequent decay of the potential and change to Mezsaroz growth in delta_cdm</span>
@@ -8315,9 +13026,9 @@
     <span class="n">plt</span><span class="o">.</span><span class="n">loglog</span><span class="p">(</span><span class="n">eta</span><span class="p">,</span><span class="n">ev</span><span class="p">[:,</span><span class="mi">0</span><span class="p">])</span>
     <span class="n">plt</span><span class="o">.</span><span class="n">loglog</span><span class="p">(</span><span class="n">eta</span><span class="p">,</span><span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">ev</span><span class="p">[:,</span><span class="mi">1</span><span class="p">]))</span>
     <span class="n">plt</span><span class="o">.</span><span class="n">loglog</span><span class="p">(</span><span class="n">eta</span><span class="p">,</span><span class="o">-</span><span class="n">ev</span><span class="p">[:,</span><span class="mi">2</span><span class="p">])</span>
-    <span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">r&#39;$k= </span><span class="si">%s</span><span class="s1">/\rm{Mpc}$&#39;</span><span class="o">%</span><span class="k">k</span>)
-    <span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">r&#39;$\eta/\rm{Mpc}$&#39;</span><span class="p">);</span>
-    <span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="s1">r&#39;$\Delta_c$&#39;</span><span class="p">,</span> <span class="s1">r&#39;$|\Delta_\gamma|$&#39;</span><span class="p">,</span> <span class="s1">r&#39;$-(\Phi+\Psi)/2$&#39;</span><span class="p">],</span> <span class="n">loc</span> <span class="o">=</span> <span class="s1">&#39;upper left&#39;</span><span class="p">);</span>
+    <span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$k= </span><span class="si">%s</span><span class="s1">/\rm{Mpc}$&#39;</span><span class="o">%</span><span class="k">k</span>)
+    <span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$\eta/\rm{Mpc}$&#39;</span><span class="p">);</span>
+    <span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="sa">r</span><span class="s1">&#39;$\Delta_c$&#39;</span><span class="p">,</span> <span class="sa">r</span><span class="s1">&#39;$|\Delta_\gamma|$&#39;</span><span class="p">,</span> <span class="sa">r</span><span class="s1">&#39;$-(\Phi+\Psi)/2$&#39;</span><span class="p">],</span> <span class="n">loc</span> <span class="o">=</span> <span class="s1">&#39;upper left&#39;</span><span class="p">);</span>
 
 <span class="n">k</span><span class="o">=</span><span class="mf">0.3</span>
 <span class="n">plot_ev</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">get_time_evolution</span><span class="p">(</span><span class="n">k</span><span class="p">,</span> <span class="n">eta</span><span class="p">,</span> <span class="p">[</span><span class="s1">&#39;delta_cdm&#39;</span><span class="p">,</span><span class="s1">&#39;delta_photon&#39;</span><span class="p">,</span> <span class="s1">&#39;Weyl&#39;</span><span class="p">]),</span><span class="n">k</span><span class="p">)</span>
@@ -8331,577 +13042,15 @@
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-<div class="prompt input_prompt">In&nbsp;[28]:</div>
+<div class="prompt input_prompt">In&nbsp;[29]:</div>
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 <div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#Note that time evolution can be visually quite sensitive to accuracy. By default it is boosted, but you can change this. e.g.</span>
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
 "
 >
 </div>
@@ -10106,7 +13115,7 @@
 </div>
 <div class="cell border-box-sizing code_cell rendered">
 <div class="input">
-<div class="prompt input_prompt">In&nbsp;[29]:</div>
+<div class="prompt input_prompt">In&nbsp;[30]:</div>
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     <div class="input_area">
 <div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#It&#39;s also possible to plot quantities in other gauges, or arbitrary symbolic expressions,</span>
@@ -10114,13 +13123,13 @@
 <span class="c1">#For example, this plots the Newtonian gauge density compared to the synchronous gauge one</span>
 <span class="kn">import</span> <span class="nn">camb.symbolic</span> <span class="kn">as</span> <span class="nn">cs</span>
 <span class="n">Delta_c_N</span> <span class="o">=</span> <span class="n">cs</span><span class="o">.</span><span class="n">make_frame_invariant</span><span class="p">(</span><span class="n">cs</span><span class="o">.</span><span class="n">Delta_c</span><span class="p">,</span> <span class="s1">&#39;Newtonian&#39;</span><span class="p">)</span>
-<span class="n">ev</span><span class="o">=</span><span class="n">data</span><span class="o">.</span><span class="n">get_time_evolution</span><span class="p">(</span><span class="n">k</span><span class="p">,</span> <span class="n">eta</span><span class="p">,</span> <span class="p">[</span><span class="s1">&#39;delta_cdm&#39;</span><span class="p">,</span><span class="n">cs</span><span class="o">.</span><span class="n">Delta_c</span><span class="p">])</span>
+<span class="n">ev</span><span class="o">=</span><span class="n">data</span><span class="o">.</span><span class="n">get_time_evolution</span><span class="p">(</span><span class="n">k</span><span class="p">,</span> <span class="n">eta</span><span class="p">,</span> <span class="p">[</span><span class="s1">&#39;delta_cdm&#39;</span><span class="p">,</span><span class="n">Delta_c_N</span><span class="p">])</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span><span class="mi">4</span><span class="p">))</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">loglog</span><span class="p">(</span><span class="n">eta</span><span class="p">,</span><span class="n">ev</span><span class="p">[:,</span><span class="mi">0</span><span class="p">])</span>
 <span class="n">plt</span><span class="o">.</span><span class="n">loglog</span><span class="p">(</span><span class="n">eta</span><span class="p">,</span><span class="n">ev</span><span class="p">[:,</span><span class="mi">1</span><span class="p">])</span>
-<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">r&#39;$k= </span><span class="si">%s</span><span class="s1">/\rm{Mpc}$&#39;</span><span class="o">%</span><span class="k">k</span>)
-<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">r&#39;$\eta/\rm{Mpc}$&#39;</span><span class="p">);</span>
-<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="s1">r&#39;$\Delta_c^{\rm synchronous}$&#39;</span><span class="p">,</span> <span class="s1">r&#39;$\Delta_c^{\rm Newtonian}$&#39;</span><span class="p">],</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">14</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="sa">r</span><span class="s1">&#39;$k= </span><span class="si">%s</span><span class="s1">/\rm{Mpc}$&#39;</span><span class="o">%</span><span class="k">k</span>)
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$\eta/\rm{Mpc}$&#39;</span><span class="p">);</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="sa">r</span><span class="s1">&#39;$\Delta_c^{\rm synchronous}$&#39;</span><span class="p">,</span> <span class="sa">r</span><span class="s1">&#39;$\Delta_c^{\rm Newtonian}$&#39;</span><span class="p">],</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">);</span>
 </pre></div>
 
 </div>
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-<div class="prompt input_prompt">In&nbsp;[30]:</div>
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 <div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#For calculating large-scale structure and lensing results yourself, get a power spectrum</span>
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 "
 >
 </div>
@@ -10940,8 +13242,7 @@
 </div>
 
 </div>
-<div class="cell border-box-sizing text_cell rendered">
-<div class="prompt input_prompt">
+<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
 </div>
 <div class="inner_cell">
 <div class="text_cell_render border-box-sizing rendered_html">
@@ -10956,7 +13257,7 @@
 </div>
 <div class="cell border-box-sizing code_cell rendered">
 <div class="input">
-<div class="prompt input_prompt">In&nbsp;[31]:</div>
+<div class="prompt input_prompt">In&nbsp;[32]:</div>
 <div class="inner_cell">
     <div class="input_area">
 <div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#Get lensing window function (flat universe)</span>
@@ -10981,7 +13282,7 @@
 </div>
 <div class="cell border-box-sizing code_cell rendered">
 <div class="input">
-<div class="prompt input_prompt">In&nbsp;[32]:</div>
+<div class="prompt input_prompt">In&nbsp;[33]:</div>
 <div class="inner_cell">
     <div class="input_area">
 <div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#Compare with CAMB&#39;s calculation:</span>
@@ -11011,219 +13312,15 @@
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-<div class="output_area"><div class="prompt"></div>
+<div class="output_area">
+
+<div class="prompt"></div>
+
+
 
 
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
 "
 >
 </div>
@@ -11236,20 +13333,20 @@
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 <div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#The non-linear model can be changed like this:</span>
-<span class="n">camb</span><span class="o">.</span><span class="n">set_halofit_version</span><span class="p">(</span><span class="s1">&#39;takahashi&#39;</span><span class="p">)</span>
+<span class="n">pars</span><span class="o">.</span><span class="n">NonLinearModel</span><span class="o">.</span><span class="n">set_params</span><span class="p">(</span><span class="n">halofit_version</span><span class="o">=</span><span class="s1">&#39;takahashi&#39;</span><span class="p">)</span>
 <span class="n">kh_nonlin</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">pk_takahashi</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">get_nonlinear_matter_power_spectrum</span><span class="p">(</span><span class="n">params</span><span class="o">=</span><span class="n">pars</span><span class="p">)</span>
-<span class="n">camb</span><span class="o">.</span><span class="n">set_halofit_version</span><span class="p">(</span><span class="s1">&#39;mead&#39;</span><span class="p">)</span>
+<span class="n">pars</span><span class="o">.</span><span class="n">NonLinearModel</span><span class="o">.</span><span class="n">set_params</span><span class="p">(</span><span class="n">halofit_version</span><span class="o">=</span><span class="s1">&#39;mead&#39;</span><span class="p">)</span>
 <span class="n">kh_nonlin</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">pk_mead</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">get_nonlinear_matter_power_spectrum</span><span class="p">(</span><span class="n">params</span><span class="o">=</span><span class="n">pars</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">2</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span> <span class="n">sharex</span><span class="o">=</span><span class="bp">True</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span><span class="mi">8</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">loglog</span><span class="p">(</span><span class="n">kh_nonlin</span><span class="p">,</span> <span class="n">pk_takahashi</span><span class="p">[</span><span class="mi">0</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">loglog</span><span class="p">(</span><span class="n">kh_nonlin</span><span class="p">,</span> <span class="n">pk_mead</span><span class="p">[</span><span class="mi">0</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">semilogx</span><span class="p">(</span><span class="n">kh_nonlin</span><span class="p">,</span> <span class="n">pk_mead</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">/</span><span class="n">pk_takahashi</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">-</span><span class="mi">1</span><span class="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_xlabel</span><span class="p">(</span><span class="s1">r&#39;$k/h\, \rm{Mpc}$&#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_xlabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$k/h\, \rm{Mpc}$&#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">legend</span><span class="p">([</span><span class="s1">&#39;Mead/Takahashi-1&#39;</span><span class="p">],</span> <span class="n">loc</span><span class="o">=</span><span class="s1">&#39;upper left&#39;</span><span class="p">);</span>
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
+"
+>
+</div>
+
+</div>
+
+</div>
+</div>
+
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[35]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#Let&#39;s look at some non-standard primordial power spectrum, e.g. with wavepacket oscillation</span>
+
+<span class="c1">#Define our custom  power spectrum function (here power law with one wavepacket)</span>
+<span class="k">def</span> <span class="nf">PK</span><span class="p">(</span><span class="n">k</span><span class="p">,</span> <span class="n">As</span><span class="p">,</span> <span class="n">ns</span><span class="p">,</span> <span class="n">amp</span><span class="p">,</span> <span class="n">freq</span><span class="p">,</span> <span class="n">wid</span><span class="p">,</span> <span class="n">centre</span><span class="p">,</span> <span class="n">phase</span><span class="p">):</span>
+    <span class="k">return</span> <span class="n">As</span><span class="o">*</span><span class="p">(</span><span class="n">k</span><span class="o">/</span><span class="mf">0.05</span><span class="p">)</span><span class="o">**</span><span class="p">(</span><span class="n">ns</span><span class="o">-</span><span class="mi">1</span><span class="p">)</span><span class="o">*</span><span class="p">(</span><span class="mi">1</span><span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">phase</span><span class="o">+</span><span class="n">k</span><span class="o">*</span><span class="n">freq</span><span class="p">)</span><span class="o">*</span><span class="n">amp</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">-</span><span class="p">(</span><span class="n">k</span><span class="o">-</span><span class="n">centre</span><span class="p">)</span><span class="o">**</span><span class="mi">2</span><span class="o">/</span><span class="n">wid</span><span class="o">**</span><span class="mi">2</span><span class="p">))</span>
+
+<span class="c1">#Check how this looks compared to power law</span>
+<span class="n">ks</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mf">0.02</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">1000</span><span class="p">)</span>
+<span class="n">pk1</span> <span class="o">=</span> <span class="mf">2e-9</span><span class="o">*</span><span class="p">(</span><span class="n">ks</span><span class="o">/</span><span class="mf">0.05</span><span class="p">)</span><span class="o">**</span><span class="p">(</span><span class="mf">0.96</span><span class="o">-</span><span class="mi">1</span><span class="p">)</span>
+<span class="n">pk2</span> <span class="o">=</span> <span class="n">PK</span><span class="p">(</span><span class="n">ks</span><span class="p">,</span><span class="mf">2e-9</span><span class="p">,</span> <span class="mf">0.96</span><span class="p">,</span><span class="mf">0.0599</span><span class="p">,</span> <span class="mi">280</span><span class="p">,</span> <span class="mf">0.08</span><span class="p">,</span> <span class="mf">0.2</span><span class="p">,</span><span class="mi">0</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">semilogx</span><span class="p">(</span><span class="n">ks</span><span class="p">,</span><span class="n">pk1</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">semilogx</span><span class="p">(</span><span class="n">ks</span><span class="p">,</span><span class="n">pk2</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;$P(k)$&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$k\, {\rm Mpc}$&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="s1">&#39;Power law&#39;</span><span class="p">,</span><span class="s1">&#39;Custom&#39;</span><span class="p">])</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Scalar initial power spectrum&#39;</span><span class="p">);</span>
+</pre></div>
+
+</div>
+</div>
+</div>
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+<div class="output_wrapper">
+<div class="output">
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+<div class="output_area">
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+<div class="prompt"></div>
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+<div class="output_png output_subarea ">
+<img 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
+"
+>
+</div>
+
+</div>
+
+</div>
+</div>
+
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[36]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#Now compute C_l and compare</span>
+<span class="n">pars</span> <span class="o">=</span> <span class="n">camb</span><span class="o">.</span><span class="n">CAMBparams</span><span class="p">()</span>
+<span class="n">pars</span><span class="o">.</span><span class="n">set_cosmology</span><span class="p">(</span><span class="n">H0</span><span class="o">=</span><span class="mf">67.5</span><span class="p">,</span> <span class="n">ombh2</span><span class="o">=</span><span class="mf">0.022</span><span class="p">,</span> <span class="n">omch2</span><span class="o">=</span><span class="mf">0.122</span><span class="p">,</span> <span class="n">tau</span><span class="o">=</span><span class="mf">0.06</span><span class="p">)</span>
+<span class="n">lmax</span><span class="o">=</span><span class="mi">2500</span>
+<span class="n">pars</span><span class="o">.</span><span class="n">set_for_lmax</span><span class="p">(</span><span class="n">lmax</span><span class="p">,</span><span class="n">lens_potential_accuracy</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+
+<span class="c1">#For comparison, standard power law</span>
+<span class="n">pars</span><span class="o">.</span><span class="n">InitPower</span><span class="o">.</span><span class="n">set_params</span><span class="p">(</span><span class="n">As</span><span class="o">=</span><span class="mf">2e-9</span><span class="p">,</span> <span class="n">ns</span><span class="o">=</span><span class="mf">0.96</span><span class="p">)</span>
+<span class="n">results</span> <span class="o">=</span> <span class="n">camb</span><span class="o">.</span><span class="n">get_results</span><span class="p">(</span><span class="n">pars</span><span class="p">)</span>
+<span class="n">cl_unlensed</span><span class="o">=</span><span class="n">results</span><span class="o">.</span><span class="n">get_unlensed_scalar_cls</span><span class="p">(</span><span class="n">CMB_unit</span> <span class="o">=</span><span class="s1">&#39;muK&#39;</span><span class="p">)</span>
+<span class="n">cl</span><span class="o">=</span><span class="n">results</span><span class="o">.</span><span class="n">get_lensed_scalar_cls</span><span class="p">(</span><span class="n">CMB_unit</span> <span class="o">=</span><span class="s1">&#39;muK&#39;</span><span class="p">)</span>
+
+<span class="c1">#Not get custom spectrum</span>
+<span class="n">pars</span><span class="o">.</span><span class="n">set_initial_power_function</span><span class="p">(</span><span class="n">PK</span><span class="p">,</span> <span class="n">args</span><span class="o">=</span><span class="p">(</span><span class="mf">2e-9</span><span class="p">,</span> <span class="mf">0.96</span><span class="p">,</span><span class="mf">0.0599</span><span class="p">,</span> <span class="mi">280</span><span class="p">,</span> <span class="mf">0.08</span><span class="p">,</span> <span class="mf">0.2</span><span class="p">,</span><span class="mi">0</span><span class="p">))</span>
+
+<span class="n">results2</span> <span class="o">=</span> <span class="n">camb</span><span class="o">.</span><span class="n">get_results</span><span class="p">(</span><span class="n">pars</span><span class="p">)</span>
+<span class="n">cl2</span><span class="o">=</span><span class="n">results2</span><span class="o">.</span><span class="n">get_lensed_scalar_cls</span><span class="p">(</span><span class="n">CMB_unit</span> <span class="o">=</span><span class="s1">&#39;muK&#39;</span><span class="p">)</span>
+
+<span class="n">ls</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span><span class="n">lmax</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">ls</span><span class="p">,(</span><span class="n">cl2</span><span class="p">[</span><span class="mi">2</span><span class="p">:</span><span class="n">lmax</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">-</span><span class="n">cl</span><span class="p">[</span><span class="mi">2</span><span class="p">:</span><span class="n">lmax</span><span class="p">,</span><span class="mi">0</span><span class="p">]))</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$\ell$&#39;</span><span class="p">);</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$\ell(\ell+1)\Delta C_\ell/2\pi\, [\mu K^2]$&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$C_\ell$ difference to power law&#39;</span><span class="p">);</span>
+</pre></div>
+
+</div>
+</div>
+</div>
+
+<div class="output_wrapper">
+<div class="output">
+
+
+<div class="output_area">
+
+<div class="prompt"></div>
+
+
+
+
+<div class="output_png output_subarea ">
+<img 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
+"
+>
+</div>
+
+</div>
+
+</div>
+</div>
+
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[37]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#Note that if you have sharp features or fine oscillations, you may need </span>
+<span class="c1">#increase accuracy to sample them well. e.g. let&#39;s try increasing the frequency</span>
+
+<span class="c1">#Default accuracy</span>
+<span class="n">pars</span><span class="o">.</span><span class="n">Accuracy</span><span class="o">.</span><span class="n">lSampleBoost</span> <span class="o">=</span> <span class="mi">1</span>
+<span class="n">pars</span><span class="o">.</span><span class="n">Accuracy</span><span class="o">.</span><span class="n">IntkAccuracyBoost</span> <span class="o">=</span><span class="mi">1</span>
+<span class="n">pars</span><span class="o">.</span><span class="n">Accuracy</span><span class="o">.</span><span class="n">SourcekAccuracyBoost</span> <span class="o">=</span><span class="mi">1</span>
+
+<span class="n">freq</span> <span class="o">=</span> <span class="mi">1000</span>
+<span class="n">ks</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mf">0.02</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">1000</span><span class="p">)</span>
+<span class="n">pk1</span> <span class="o">=</span> <span class="mf">2e-9</span><span class="o">*</span><span class="p">(</span><span class="n">ks</span><span class="o">/</span><span class="mf">0.05</span><span class="p">)</span><span class="o">**</span><span class="p">(</span><span class="mf">0.96</span><span class="o">-</span><span class="mi">1</span><span class="p">)</span>
+<span class="n">pk2</span> <span class="o">=</span> <span class="n">PK</span><span class="p">(</span><span class="n">ks</span><span class="p">,</span><span class="mf">2e-9</span><span class="p">,</span> <span class="mf">0.96</span><span class="p">,</span><span class="mf">0.0599</span><span class="p">,</span><span class="n">freq</span><span class="p">,</span> <span class="mf">0.08</span><span class="p">,</span> <span class="mf">0.2</span><span class="p">,</span><span class="mi">0</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">semilogx</span><span class="p">(</span><span class="n">ks</span><span class="p">,</span><span class="n">pk1</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">semilogx</span><span class="p">(</span><span class="n">ks</span><span class="p">,</span><span class="n">pk2</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;$P(k)$&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$k\, {\rm Mpc}$&#39;</span><span class="p">);</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Scalar power spectrum&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
+
+<span class="n">pars</span><span class="o">.</span><span class="n">set_initial_power_function</span><span class="p">(</span><span class="n">PK</span><span class="p">,</span> <span class="n">args</span><span class="o">=</span><span class="p">(</span><span class="mf">2e-9</span><span class="p">,</span> <span class="mf">0.96</span><span class="p">,</span><span class="mf">0.0599</span><span class="p">,</span> <span class="n">freq</span><span class="p">,</span> <span class="mf">0.08</span><span class="p">,</span> <span class="mf">0.2</span><span class="p">,</span><span class="mi">0</span><span class="p">))</span>
+
+<span class="n">results2</span> <span class="o">=</span> <span class="n">camb</span><span class="o">.</span><span class="n">get_results</span><span class="p">(</span><span class="n">pars</span><span class="p">)</span>
+<span class="n">cl_unlensed2</span><span class="o">=</span><span class="n">results2</span><span class="o">.</span><span class="n">get_unlensed_scalar_cls</span><span class="p">(</span><span class="n">CMB_unit</span> <span class="o">=</span><span class="s1">&#39;muK&#39;</span><span class="p">)</span>
+
+<span class="c1">#need to increase default sampling in ell to see features smaller than peaks reliably</span>
+<span class="n">pars</span><span class="o">.</span><span class="n">Accuracy</span><span class="o">.</span><span class="n">lSampleBoost</span> <span class="o">=</span> <span class="mi">2</span>
+<span class="c1">#may also need to sample k more densely when computing C_l from P(k)</span>
+<span class="n">pars</span><span class="o">.</span><span class="n">Accuracy</span><span class="o">.</span><span class="n">IntkAccuracyBoost</span> <span class="o">=</span> <span class="mi">2</span> 
+
+<span class="n">results3</span> <span class="o">=</span> <span class="n">camb</span><span class="o">.</span><span class="n">get_results</span><span class="p">(</span><span class="n">pars</span><span class="p">)</span>
+<span class="n">cl_unlensed3</span><span class="o">=</span><span class="n">results3</span><span class="o">.</span><span class="n">get_unlensed_scalar_cls</span><span class="p">(</span><span class="n">CMB_unit</span> <span class="o">=</span><span class="s1">&#39;muK&#39;</span><span class="p">)</span>
+<span class="n">cl3</span><span class="o">=</span><span class="n">results3</span><span class="o">.</span><span class="n">get_lensed_scalar_cls</span><span class="p">(</span><span class="n">CMB_unit</span> <span class="o">=</span><span class="s1">&#39;muK&#39;</span><span class="p">)</span>
+
+<span class="n">ls</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span><span class="n">lmax</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">ls</span><span class="p">,(</span><span class="n">cl_unlensed2</span><span class="p">[</span><span class="mi">2</span><span class="p">:</span><span class="n">lmax</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">/</span><span class="n">cl_unlensed</span><span class="p">[</span><span class="mi">2</span><span class="p">:</span><span class="n">lmax</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">-</span><span class="mi">1</span><span class="p">))</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ls</span><span class="p">,(</span><span class="n">cl_unlensed3</span><span class="p">[</span><span class="mi">2</span><span class="p">:</span><span class="n">lmax</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">/</span><span class="n">cl_unlensed</span><span class="p">[</span><span class="mi">2</span><span class="p">:</span><span class="n">lmax</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">-</span><span class="mi">1</span><span class="p">))</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$\ell$&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$\Delta C_\ell/C_\ell$&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;Fractional $C_\ell$ difference to power law&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="s1">&#39;Default accuracy&#39;</span><span class="p">,</span><span class="s1">&#39;Boosted accuracy&#39;</span><span class="p">]);</span>
+</pre></div>
+
+</div>
+</div>
+</div>
+
+<div class="output_wrapper">
+<div class="output">
+
+
+<div class="output_area">
+
+<div class="prompt"></div>
+
+
+
+
+<div class="output_png output_subarea ">
+<img 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kVR6ggqHnWUffZowkcjDqbrYRdwws572FiSQ/GrZ8PO9NnbXVGUzEXFow6THfBx27H78PSfTuTPeXcT2rmRJc8No7BYS70rilIzVDzqAQM6Neexmy7nm0430W3HFF585E6mL9+SarMURclgVDzqCXnZfk65/C42tz+SPxa/zF3PvsWDX86nuCyYatMURclAVDzqEyK0OO85sho2560GD/LV2HGc8uRPzFm1LdWWKYqSYehU3frI+vnw8skUB0O8U3IQG0pyOKvFYjpk70KatoeDb4Suh6baSkVRkoxO1VUqp/U+cOmn5OR35QL5ipsC77B96yYmbGtG6bpf4Y1hsGpqqq1UFCWNUfGor7TqAVd+i9y9Gu5Yxopzvua60K0cuuUetvmbYV4/G3asS7WVSlWs/xVeOQ1KtaaZklxUPOo7/gDkNeO4Pnvw9U2Hsl+vHpyx7UaCu7ay7Yu/pdo6pSo+vw2W/A9WTk61JUo9Q8VDKadloxyevmAgNw47ibc5hoZz3+DtL74jGKqbebE6Qayc5YbfdKdJJaEkRTxEpKOI/E9EfhWRuSJyg8cYEZEnRGSRiMwSkQGuvktEZKH9uiQZNtdnTu7XjqP/9DClvlxa/Hw/5z77s244lQ58ciMs+jaq0REPCTetmQlP7Q8/PQaz34XlvyTLQqUekSzPowy4xRjTExgCXCsivaLGHA/sZb+GA88AiEgL4F7gAGAwcK+INE+S3fWWVm06kHvUXRzln07H9d9y3OPjGP3TUkLBEMz9AL69D4p0im9SmfoSvHamd5+Ilf8o2ARbfrfaVk2F966AUcckzUSl/pAU8TDGrDHGTLPPdwC/Au2jhp0KvGIsJgLNRKQtcCzwjTFmszFmC/ANcFwy7K7vyJBroG0/Hm7wGid0LOOFT39g5oPHwDuXwvhH4emDrAeWkjrcYaunh8AzB0HIXvipZfiVBJL0nIeIdAH2A6J96fbACtf7lXZbrHavew8XkSkiMmXDBi0AWGP8ATjlSfzF2/jPmosZm3c7exfN5p+hS/l6yKuY0gL45t5UW1m3WfIDzPsodm4jOmy1c61LPAIJNk6pzyRVPESkEfAecKMxZnt0t8clppL2io3GPG+MGWSMGdSqVauaGatYtO0HIyYhQ2/Ev98FbL9iPHM6nsfwH/y8l30qLPxKS70nkldOhbcvBhOV/J77IaybG34vrl8To+KhJJ6kiYeIZGEJx+vGmPc9hqwEOrredwBWV9KuJIvmXeCoe+Hkx2jbaS9eu+IA7j+1Nw9tPoQCcln+8T9029tEE3LVIDMG3rnEClF5/buHyqyjeIStinfCA51h8feJsVOpNyRrtpUALwK/GmMeiTHsY+Bie9bVEGCbMWYN8BVwjIg0txPlx9htSorw+YSLDuzC2zcez/cNTqTdqi+59cUvWb+9KHLgjrVQvCM1RmYaW5dbD/ZYGJd4FFZREbk8bOXx671hPhRthe//Hr+NiuIiWZ7HUOAi4EgRmWG/ThCRq0XkanvM58ASYBHwX+AaAGPMZuB+YLL9+pvdpqSYzi0bcuIV9+AXQ9fl73D0o+P4aMYqzI51VjL9Pz2s2UHqlVTNY33h5ZOs849GWLkON27PY+ty65jnmnToDms5QuPleej/hVJLJCUoaowZj3fuwj3GANfG6BsFjEqAaUoN8bXsCnsdw9UrxzG20cXc8OYMOrR8lgFFC5G+58Dst60HYfcjUm1q+rN6uvVwn/6q9brPNRXaCUUBbF9lHZu0pzz95xYXr4T51uXw1kVw2B12Q6W/jopSJbrCXKk5g4cTKNzAW92/5rU+0xhYMI6RobP4qvufoXFbGPdwqi1Mb9zeQHRi3KvdqWMVyA1fa7zEw+V5/PQErJkBc96rub2KgoqHUhvs+QcYPBzfxKc4eNHD7Ox8NN82H8ZVb87hw9xTYdl42Lyk4nUaQrFwexWhGJtzRSfMK/R7hK3cnoeTJ8lrtns2KkoUKh5KzRGB4/4NB98MR95Do0ve5t1rD+Hmo/fm8VX7ADB/3DuR1yz+n5UTWfpjCgxOM4Il4XMTQzzc7RHeiZfn4cy2cv16F221jnlanEGpHVQ8lNrB57Om8x56K/h8ZPl9XP+HvRg54gyW+TqxcepH3PjmdLYUlEBZCXx+K+xcB+9dCQUbU219cti4yCpYGE2EeMQIW4ViiIfxynnY4uHleQRyrKNozkOpGSoeSkLp3a4pHYaczoGB+fwwazFHPzqOXz99HDYtgj/ca62Inv5aqs1MDiMHWgULowmWhs8jRMAjFAVh8fBaGOi+zp3zKLQ9D3fEq2BT5GcrShyoeCgJx7/PifhNkM+O3kKrRtlkT3uRpXm92TJgBOT3gN/Hp9rE5GOMVVxyzUwoK3a1u0Qg6GqP5Xk4auAWAa+puqHSyGuNgYe6wYfX7O5PoNRzVDyUxNNxMLTuRftfX+KTE8vo7lvDUzsO4+hHx7G8yX6wfCIEXUnjjYvgxWPh4R6wq44u6Vkzwyou+fntkWGrkMesKqh52MqZmlsuHvZx9tuwZCxMfnG3fgyl/qLioSQeETjwWlg/l8CHV0FeC64YfhOtG+fw0Px8KNnBtt+nhcdPeBJWTLRCWpnslZQVw6unW+s3ollo78vRpleU1+AShlgeiVdeJOS6h3M/8fj1du7jvscrp8BnN3v/DIoSAxUPJTn0PRuad4VGbeDsl+jZqTUfjRhKv0OsVdWjXn+VL+estf6SXvQ97Hm0tY5h+cTI+5QWwlf/BzvXp+CHiJO1s60aUp/eVLGv2F4AmNs09myrsmp4Hg4ReZOyiveqME6nSSs1Q8tuKskhkAPXT49I8mb5fVx5/IEUz+/GQbt+5dzXpnJ5zxB/2bYcDr4BSgosD8TN/M9gwkhryumhtyb5h6gGhVvC02FL7FpV2Y0qjnPCU6FgVNjKLR7V8TycnIfrHo5AuNePlK9Ed4RFt6hVaoZ6HkryiDE9NKf7IQz2LeDWo7oTWvQdAGODfaHTAVZCuWRXePC8j6zjgi8SbW31GPdQ2JZ1c+HfXWDmm9b74hjiYUzkQzyW5xFrFpbnIkF3v30eIR5EtqnjodQQFQ8l9XQ5GCnezojexdzaaRErfe255MONPLsk33rYrZ1ljSvZZe3hndUQVk2BHevC99i02ApnbVqcXNu//zuMGWadb15qHZ0SIE5F4ZzGkdeUFUc+4GOt8wh5zKCKHlOeMPcQGq9puOWC4qEe3/4VXj6lYruieKDioaSezkOt47yPaLT6Z9oeNIxbj9mbt5ZZf7HPnmFvOrl6OpTugoOus94v/zl8j5ljrHDWqGMj/zLfvASe2C+8r3c8lBTA1hWx+6M9gNwm1tFZ9Ojs8Z4T5XmU7go/xEPB2B6Gewaa+7y6OQ8vz8MZ5+W9jH8Elo6t2K4oHqh4KKmnaXto0Q1+HgkmiL/P6Yw4ci+eGXEaReQwedLPXPvGNHaumGmN7326dXRKk0O4dlbBhsgV6xOesvpmvxtuK9wKX98TGQ4Da1qwe3rsmGHwWJ/YNbjKovYvcR7MuzbZn2Ov6s5qEDmutDAsEiYYldtwex5u8YgxJjqX4e73DFs54qRxK6VmqHgo6cGpT0PDfGjTx3oB+7RtRnbbnhzVagtfz13Ll99/T2lWE2jVA3KbeYsHwPaVrnN700m3AEx7GX5+whIWB2Pgwa7w1oXhtqXjrKMTfiraDuMfC++1UeQqmQ7h8FO5eNhrVKI9hbKi8EO8soR5xPTbGKEt47FI0CtsVf55UYsFFWU3UfFQ0oPOB8J10+DyLyMS677WPelUtoJPrzuE3v6VTCtux7VvTKesSUfYsswaZAxsWgLtB1nvt60KtztrLLb+Hv4sX5Z1XDk53LZhgXVc9G1F25xpwbPegm/vtbwWsMTEjeNBOLOsHM8jWBIpCqW7XDmPoPfqcIgKW8VYC+IQUZnXFRIrvyZ6tpV6HkrNUPFQ0oes3IrJ5VY9YMdqejQNso9/JQ069OWbeesYu74BO9bZ3sauzda6ia6HWO+dzZJ2rocda6xzR2gAdtlhrTUzwg/R3+3qvs06V7Rrp52YL7bFwnl4x/I8HJwQWLAk8uFfWhi5FqM6CfOYlXc9EuZes62c+wbV81BqBxUPJb1p1dM6LvgCKd5B3/0O5JPrDmZHbjsC21dwzWtT2LpqvjWmw2Dw58A2O2zlCEdWQ9jqEg/Hk9i5Lpy3WDXVOkaULJfwOIBSe6wjOMVR4uHOXUD44R0sjXz4u3MeoWDsGlZBj1Xj0WMcB8LtpYS8pupG50bU81BqhoqHkt50PsgShK//bL8fSo89GnPyYUPIkxKm/7qQh8d8CYBp2R2atIv0PAA6DLIExXkAu1enO6EnJ8RU7ApFOeXLnfHOim9HcCp4HlHi4XxesLQKzyNG2CqW5+GZCK8kvwEatlJqHRUPJb3JbQJ7H2OFmtoNgNbW5lL+Fl0AePuctvTJ3UDQCNd/uZmSRu3COY8C+6HffqAVptmxNrIdwgJQnhR3C4JEjnc8D8fDqJDziApbOQ/vYEnUw7800juI8Cpc4aSInEcM8XDyQ14C5DW9tzphKxUWpRqoeCjpT58zrWP/88NtLboC0JG1nNO9lIK8tnw1fytfr/Cza+MyjDFhj6G1HfpyvIud66Fha+u8gnhstx6eZSVhT8NZjFjuedhHt5cSLI2aTmvCD+/osFUoGJkwj7UA0O05lFXleVQRtqowfbcSgdi5zpqJpiKiVIKKh5L+9DwFzvgvDLgk3Naim1VyfMMCfFuW0qTd3nx2/cEU57XGv2sDV70yhV1b1lilQZq0s64p3GI9EHeuh/y9rLbiKPEIlVphJWfbVvcYx/Nwjm7Po6Qg8gEfLI3yPKI8A3d5koipt7FyHh7TeY2JMVXXY5FgtHhUJgxvXQRf3W0VdqyrJfGVGqPioaQ/Pj/sew4EssNt/ixLQDb+ZpUkadGNvdo05rRDBpAjZcxcuJSx0+awM9Ack9vMuqZwi/UKlULL7lab2/NwSpgXbQvvvAeucFXU0e1plO6KSny78hwVwlbByIS5O1TlTrqHqghbuYXHc7aVuzxJHAnzTYus48fXWWtfFMWDpIiHiIwSkfUiMidGf3MR+UBEZonIJBHp4+r7XURmi8gMEZmSDHuVDKFVD6tke9FWaGGJgb/JHgC8e2E3OmYXMH9nHjd+bC8mdMQDysdHiEfTDuE2ZxyExcKZeuskud2eRsmuyAd/sDRqtlXUjCp3aCmiDHvUPbzOIyrjeqwwd1fsdYj2UCrzPJzFjWtmVD1Wqbcky/MYDRxXSf/dwAxjzL7AxcDjUf1HGGP6G2MGJcg+JRPJ7xFes9Gim3VsZIlHx6zt9G5aTKs9OjBupfVgnf7bUkIF9oOxub2eo2i79cAOFkPTjnbbtshy6qVRs6yc84jptwUVy6KXl0YvrfjwL9+UKRgZtor2Xsrbq/I8PMqaRIStonYcjEcQdE2I4kFSxMMYMw6oLHjaC/jOHjsf6CIibZJhm5LBtOoRPm/X3zo2tsSDHeuQnevp3KkrH994FCVk88u8xTz44QR7XDsrZ1K0LVw63e15lNp1rxq0CHsD7rpXpVHiEe15hKJzHlGL/NyrwGOt7agqbIUr5xGRdPcoT1IhvBWHeHgl6JV6T7rkPGYCZwCIyGCgM2D/JmOAr0VkqogMT5F9SjrS/Q/Q+wz44/fhpHgj+2+OzUus8EuTdnRs0YCsxi05pms2WzZtAODdX3dhcpvaXoadLG/S3joWbQsLRV6L8Owqt3iUFUZ5GiUenkes2VZlLg8gVEmSPEZ5koiEuUcRRK91HkSHreLwJtzipig26SIeDwDNRWQGcB0wHXB+G4YaYwYAxwPXisihsW4iIsNFZIqITNmwYUPCjVZSTMOWcPZL1joOh5xGVqjJ2YHQntIreS3o1rCEu4+0xOWf/1vL2uJsdmzbFJ5p5XgtpQWRnkd5wryQ8rUfZcUVxSI62R1rtlUoFBlailUMMa6wVbBiv9fWtbuzk6DXdrZKvSctxMMYs90Yc5kxpj9WzqMVsNTuW20f1wMfAIMruc/zxphBxphBrVq1SoLlSlrSqE1473MnF5LXHAq30tQUAHDv2QexOZjH1AXLeH+CXd6kkb32o2SXy/No7vI8iiDPnrlVWhhpc/HzAAAgAElEQVQ1NTfa83AJhjt5DpF5jlB0ziNGkjzoMQvLnTD3WivilfNw+uLyPDRspVQkLcRDRJqJiDMP80pgnDFmu4g0FJHG9piGwDGA54wtRSmncdvwg7y5PdU0r1l4tlVOE04d2Jm9OrWnY4MSPplsVdRdWmwXZXR7HnlRnodT+8rxPJy9OkKlkQn16HUe0Z6BuzxJrD08InIeHu0xE+aV5Dwq2+sjFiFNmCsVSdZU3THABKCHiKwUkStE5GoRudoe0hOYKyLzscJTN9jtbYDxIjITmAR8Zoz5Mhk2KxlM5wPD546nkNfcEo6irdZeIEB2w2Z0bxzk+oOtUNZV7y4lKH6CRQWWZyE+yG1qiYYxtufhiEdhpHhUCFtF5TyicxIR6zzcOY+oUJj7fuXtXuJRRUl2omdbqeeh1IxAMj7EGHNeFf0TgL082pcA/RJll1JH6XMmjHsosq1BS2uXwV2bwoKS2xSKtrNfaz8AB/XqQsHCHL6bsoihe7ehdVYDq0y8CdlhqOJy4SmfbZXd0JouHJ0UD7pzHqUVvQv3Az5W2CoUI4QV4XnYbV6zrbxWmJdPEab6rJ4OWXnQ7bA4LlLqOmkRtlKUWqV1T+sh3/fscFvTDtbDeONvYe8ht5k1s8peKHjfOUPJadAIf9kuvp25lJ0mm1KfXVnXWXFe7nkUWZ6Gs/+Ik/Pw57jeO+JRXPFBHrHOwyPZDbGn7VaZMK+sttVueB5jzoVXTqn+eKVekBTPQ1GSzu1LwuVGIDwNd8vv0NZeE5Lb1MpvFGwEfzZk5ZGT15jjuzRh9ppdbN7s5/0fV3EjhGtducUjWGrN7oKwWGQ3hEJ70aF79Xf0wz9m2CrWOo94Vph7TdW1KRcqXTWu1Az1PJS6ic8fsZ1t+QJAsKbfAuQ0sY7bVlhCIgLZDcgKFjGgbQ4tmzejIGRtWfviN9OssY54lBZaApHd0HrvlFZ33juztfzZdtgrap1GyO15uMNW1ch5eK3z8CquGPTIVYR2Y7ZV+X1VcJQwcYuHPQPKnwhjFCVhuMWjTW/rmNvUOm5ZFs5lZDW0Z1sV0rBhY245wUq5TZizEIClBfb+506YyhEL572TQC+xZ2sFcsP9DhErzMsqmW0VY/dAd2Xc6oat3J8dPb66fHknPNY3/uuUOkmV4iEiPhE5X0Q+E5H1wHxgjYjMFZGHRKRColtR0g739rLOokJHPLYuD59nN7C8htJCyGpAbp4lBncfYS0gfHqitfi0qGiXtc4j2xW2CpVZiWUIT/V1xCN6AWH5QzwUO2zltZmTc73TVll5Eq/FfaFK+qril2etfytFoXqex/+A7sBdwB7GmI7GmNbAIcBE4AERuTCBNipKzXGHsFo7nocdtircHJ6BldXAXiS4yxIC++HfraHlOQzpaS06fGnsfEpKilxTdWOErbIcz8MtHqHYYatQFUly93nMqboJ8jwUxUV1EuZHGWMqZN6MMZuB94D3RCSr1i1TlNqmcVvYsSa8L4jjbbjPsxpYYSsTssTD8STsEu1nHtQLFkGjQIjiomJ+XrKdw3xZSHTYqtzzsK93PA/xV0yYR9S2itqutvzcQxyqmm3lldcIacJcqR2q9Dwc4RCRv0f3ObkPL3FRlLRjxBS4c0X4fYR42J5HtuN5FFhehBN2cvb3yGoA/mzOG9iGPF8ZCzYUUxTysWTdVkxE2CrK83BWn/uzK+Y8IsJWcU7VJarsCFQRklLRUGqHeBLm7UWkfLGfiLQGvq19kxQlQeQ0CoeqIDzbClyeR0PLaygtjPQ8nKm6WbngzyEQLCFgSjlj/24EJcDYX1dRWlJEodhi4YhHuedhexSBnMicR4V1HlV4G+72qjwPRUkg8YjHVcBwERksIvsD3wMPJ8YsRUkCbvHIc3seBZb3kdUgLB67NlnHQJ4lAPZmUa2aNaJhXh6DOzXGFyrjo3mWyBgnbBXteQRy7Km6jufhSnpD1bsHus/dK8xj5UcSweP94b0rE/sZStpTZc5DRF4BpmGVSb8WeAOrXPppxphFiTVPURKIz/W3kzNrKqsBYKywVU5jyxOBsHhk5VoC4JRx92cj/mx6t86F1SEaNGwMBTB+3nIOgbDn4eQyfFlRBQsrWyRYlXi413l4zLZKFFuWWq8zX0js5yhpTXU8j5ftcZdjCUcXYAtwoYiclTjTFCUJnPaMdcy3Z5w7IgJWPSxn9lSBy/PwZ7vEIwf8WeUJ8pMHWnujF+2y+hdvtR/kZUXWzoU+f8Xy6rHCVl6VdN3nsWZbKUoSqM5sq++NMd85b0QkgLVtbD/gAOBdERFjdPmpkoH0P9/ajdAJLzVsGe5r0NIOW4nL87Cn75aLR1aEeEi2NdvqkK4N4XeYvqaI7n7YsXMnjcVvCYiT//AFqiiMWI2cR3l5Ei2briSXaq3zEJHrRKQTgDGmzBgzC3gL+FJEXgYuSaSRipJQHOEAaLRH+LxBS7tkScOwtxDItab62jkPAjmWJ1JSEO4XH7nGEohB3dsCMH3pOkqMj5D4wvfy51QMW8W1wjzkHbZSlCRQHfE4DggCY0RkjYjME5ElwEJgGPCoMWZ0Am1UlOTROEo8ILx2w59j5Un8kTkPt+eBP8vKa9jvu+xh3aNdIx9FQWHZlmK273SExl5vElEAMaqsu4OnF2LCyXYNWylJpsqwlTGmCHgaeNpeDJgPFBpjtibaOEVJOs5WtBAWj+wGUEDYQwnkhEu0B3ItsXA8D58dxoqqbbVniyxKy7IpK/Xx2+pNDPJByJ9t/fUWLLGuC5XGmTB3zdTS6blKkqlObatLRGSjiGwGXgB2qnAodRZnfw4IV991kujOzKlADpTYnoe9aJBSWzz8WVYuo3yRYHiFeVZWFt3aNKVtI+vXbm2B/eAPllrXQSVl2GOsIE9l2GrrCti1Ofmfq6QF1Qlb3QMcDewDLAf+mVCLFCVdCNgbOzlhK8fzcDZ8ctrcnoY/2xYTj8KI4sfvD9C+kVWUusyu6rNq03ZCPqdab5yeRypXjD/WB54ekrrPV1JKdcRjuzFmujFmvTHmHmBwoo1SlLTCma5b7nlkh/uy8mzxcMJWgcgcSLnnYU/VlfBU3Q751qr2wqJdbC22RMBUJ+fhLkmyO/ty1CY716X285WUUZ2pum1FZDjwK1Y5di2CqNRtht4A21eH3zviUZ7zcM3OcsJWZa7Nn3yBip5HsCTcZ0/V9dmeTaemAXbszIIQbN5eQPlk4VieR7pRvDO8o6JSb6iOeNwL7AtcAPQFGonI58BMYJYxZkwC7VOU5HP03yLfO2Erx/Pwe3geDs66D3c/WJ5HVl7kIkE7/JVNiBaNG8C2TQTLSsGuHm+CpZQXkk/nqbj/ag9nj4bep6faEiWJVKeq7vPGmBHGmMOMMS2AbsBIYCtwQqINVJSU43geTv2rgCvnEcizZko5+LMixaU851Fih6184fLsTvgrWILYgtMyTwjav5aSSRVwF2qN1PpGdTyPCIwxK4GVwOe1b46ipCHOX/3t9rOObvHIyot877NnW5X3uwoj+gLWy8lr+MPi4QiQ35RhAtnhQoqKkqbEvYe5otQ7Niywju0HWEd/tHi4ciDRYSsn1GWCVrLc5w97Hs593FN1g6WIy3MJ4q/FH0RRao+kiIeIjBKR9SIyJ0Z/cxH5QERmicgkEenj6jtORBaIyCIRuTMZ9ipKBB0PsI7tbPFwexr+rHBew3nvDmO5hcVn17ZyPBlX2Cq8zqM0wnPxu2d2pTUZFGJTaoVkeR6jscqcxOJuYIYxZl/gYuBxKN+p8CngeKxijOeJSK/EmqooUfzhL3Dz/PCiwXLxsNPZEQIRnTB399k5DwfH8wiVhgUnVBZ5vS/uyLKiJIWkiIcxZhxQ2VLUXsB39tj5QBcRaYO1pmSRMWaJMaYEeBM4NdH2KkoE/ixo0jb83ilb4vy1HeF5ZEeFrTw8j/I+l1cRIRjuBLyKh5KepEvOYyZwBoCIDAY6Ax2A9oBr02lW2m2KkjqatIt8HyEegfDDX3yRM6+c/TzKx0b1ue/h1Z7OzHgd/tMz1VYoSSRdxOMBoLmIzACuw9q1sAzC09xdxAyuishwEZkiIlM2bNiQGEsVpXGUeMQKW0XPvBJflFfhzp3EEBL3eEnz5PmO1eGV9kqdJy3Ewxiz3RhzmTGmP1bOoxWwFMvT6Oga2gFY7XEL5z7PG2MGGWMGtWrVKqE2K/WYyjyPQE5YPPxR4uFM1S0fGyNsJf5wbiT6+nRn6/JUW6AkibQQDxFpJiLOb9KVwDhjzHZgMrCXiHS1+4cBH6fKTkUBILdJ5Hu3eOQ0CXsL0WGqCmGrnMi+8nO3ePi9x6QrC7+xXkqdJynfRhEZAxwO5IvISqySJ1kAxphngZ7AKyISBOYBV9h9ZSIyAvgK8AOjjDFzk2GzolSbgEs8nCq74OF5+CuWMvE6F78dooqeeZXmYSuAb+6xjvdtS60dSsJJingYY86ron8CsFeMvs/R1exKunHJJxULJjo4ghGd86gQtopamV5+7osRtsoA8VDqDRngBytKGtL10PC52/OAcPLbHx22ipqqG5Ewj06s29eJH2veiMmMsJVSb0iLnIeiZDRZ0eIRY7ZVZQnz6FlVjuch4vJCMmg3hFKtzVXXUfFQlJoSLR6OQPizKq4oj/A83NV33SGsqIS5Vwgr3flHG5j6cqqtUBKIioei1JRAVM7D7XmIhB/6gajV5/5qTNUVn/fMq0xg1tuptkBJICoeilJTKoStbFHwRXkMgdxIAYgosOg6j8h5xEieSwb86jq7KSp1kgz4BipKmlMuHnZBhOjwkiMMzja00e0QNSXXJRiZvGBQ9ySp06h4KEpNcWZbHf1X6+iPSmyX732eE1WuPaokSYRguD0PD1HKBPEo3AILvki1FUqCyIBvoKKkOT5f5KK46FlRzvsKCfOoFebiAxOqJGGeYavNd6yBMcPgmonQWosm1jXU81CU2sbxKJwdAx3PIZAduZ4juhii29vwuafqOp5H1JqRTMGEUm2BkgBUPBSltuk4xDpumG83uDaNirnOIzps5TXbKsPCVg5f3gUz30q1FUoto+KhKLXNHn2sAon97Ko8judQWcLc5w97Ez53ziNGwjyiPLvXzgVpxNKx8MHwVFuh1DIZ9OeLomQQdyxzhZ7sYyAn8qEf7Xl4Tc+Ntc4j+jxUVrv2K0oVqHgoSiLwuZx65+HvznFAxYS541m413m4E+YSQzycCryKkkQ0bKUoiaY8YZ4TO2/hFg9fJSvMMzn/8dIJULQ91VYotYSKh6IkmvKwVW7s/Tnce39UWOdRVfI8Q2ZeLfsJ5n2UaiuUWkLFQ1ESjTtsFeuhXyFhLuFrqxKPTChV4rDgC104WEfIoG+domQo7oR5rBlTETkPl5C4V5hXlTyXDPBAFnxmLRxUMh4VD0VJNNXyPNziId55DiSG5+Gv2JbulBSk2gKlhqh4KErCca0Qr3bC3CvnEUM83OGu6M9MV/7ZDlbPSLUVSg1Q8VCUROOEnUyo4r4dDu6ch0RNz60y5+ESGvf90p3F36XaAqUGqHgoSqJxNosyJipU5X7YR3keMRcMelTYLa+X5fI2MiH/8ctzMOm/qbZC2U1UPBQl0Zz5Ahw4Atr2j52XiF4k6OVtiI+IEJj72vJ+KvanKzvXwee3av4jQ1HxUJRE07wzHPsPy9MoL88etdo8erZVuYcRLR6Ex7ivhfA10f3pzj/bwabFqbZCiRMVD0VJJs6DPrdZVLsrme7zxV4kGH0f93mmeR5u5n4QLmGvZARJEQ8RGSUi60VkToz+piLyiYjMFJG5InKZqy8oIjPs18fJsFdREoYJWse8aPGI9jzcCXNnnYdEji8/93v0Z5h4fH8/vHJqqq1Q4iBZnsdo4LhK+q8F5hlj+gGHA/8REcevLzTG9LdfpyTWTEVJME7yvPuRke3uqrqBHO+EuS8rxsZQHp6He21IprB8Arx2FoR086hMICniYYwZB2yubAjQWEQEaGSP1TKhSt2jRVcYPhaO+Udkuy8AIdsrCeTEtw2tZ9jKIw+SCSz6Bj4eYe1/rqQ16ZLzGAn0BFYDs4EbjCnfuzJXRKaIyEQROa2ym4jIcHvslA0bNiTYZEXZTdr1j9yOFqyHvRPS8ud45zxiikdWeKyD19qPTGHG65g3hsH2Nam2RKmEdPlmHQvMANoB/YGRItLE7utkjBkEnA88JiLdY93EGPO8MWaQMWZQq1atEm60otQaPn84XBPIiVHPKsbqdK91Hr50+dXePWTFREqePwo2L021KUoM0uUbdhnwvrFYBCwF9gEwxqy2j0uAH4D9UmWkoiSMCM8jOzLnUT4LK1ZdrEo8j3TmiD9Dyz2h66Gwz0mQ1SCiO3vnSniiP7vmfGYtsFTSinSppLYc+APwo4i0AXoAS0SkObDLGFMsIvnAUODBFNqpKInBlxXeSjaQGzk9173yvHy82/PwEI90nW3VuC3sfwX0PBVa7Q2H3RbZv2YWbFpE8MdH8a+bBUCDd89n6fQL6XLm/UiDFikwWvEiKeIhImOwZlHli8hK4F4gC8AY8yxwPzBaRGZj+d53GGM2ishBwHMiEsLykh4wxsxLhs2KkhwEMFEJ82xXpVx/DM/DK2Huvm0aiscRf64oFtG03Rfa7ou/zxnw+09sHfsUzZZ+RtfFr7HpP19Reurz7LHvkZXfQ0kKSREPY8x5VfSvBo7xaP8Z6JsouxQl5QRyoazQEomIhLmH5xFrD3PH83BHdrw8D3F9RrK5aS40aR/fNV2G0qzLUMrWzmPHqxfSsmAxvH86M345j54X/Yec3IaJsVWpFumS81CU+kl5GMa4EubZkYsEq/Q8nEq9LvXw8jxSEcoaPBwOuRWadtjtacOBPXrR/LZpbBr2GUtye9F/1RiWPngocyd8WcvGKvGQLjkPRamfXPKJVZojr3mU5+GebeVRSTfC8/D4NfaabZXsUNbFH0G3w2vtdi33OZiWd05g3hfP0XLSg7T56lwmTzyW7hc9SYv8NrX2OUr1UM9DUVJJy+5w6K3WuTth7lBVJV0Iex4mzTyPbocn5La9jr+KJjdO4pe2FzJg69cwchA/f/QcoaCuTE8mKh6Kki4YV9jKIXrPD7z28/AIW8XKebiPGUxe05YccNVTrDjnK7YE2nDQ9NuZ++/DWTJ/ZqpNqzeoeChKuhByha0cIsJWVZQnqdLzcPZSz6rYV5u03BOO/HNiP8OmS+8D6HbXRKb2vYcuJQvpMOZIfvzvrezapXuEJBoVD0VJF4xrqq6D174d4D3bqrqeR6wNqWpK617WccQUOLSKKbm1iPgDDDzzVsr+NIl5zQ7lkFX/ZeNDg5j+wwdJs6E+ouKhKOmC43lE7E9eHc/Dw5Pwqmnl80cea5vD7oD7tqWsGGPzNh3pf9MHzD/qZfyE2O+HS5n08BmsW70sJfbUdVQ8FCVdcItHtr2Gwb0uI2ZtK4+Eubu8iUO555GgsFUgp+oxSWCfg0+j1R3Tmdz5j/TfMZa854bw05gHKCstTbVpdQoVD0VJF9ruax2z8qB5V+t828pwf4RH4uWFeOU8PDaQSlTYKnpr3RSSnduA/S97mE0X/8CKvB4MXfAvFj9wIAum/5hq0+oMKh6Kki6cNQou/8pa89Gim9W2eQnlAlDlCnO35+Gxn4eTME+EeLTuBR0H1/59a0jb7n3pdfv3zNj/IfKDG9jzw5P5eeSVbNta2fZCSnVQ8VCUdCGnMXQaYp07D+K+Z1e9SNArDOUlEJKgnEcgD66ZYNmfhojPR/8Th5N941SmtT6dIRvepfixgUz6bBRGdy3cbVQ8FCUdaZhvJZ/7DSO8tiPGanOv2VZ+j+m7jmjU9lTdDNmtsHGzfPa/9iWWnvYRO/zNGTz5JmY9eDQrFs9NtWkZiYqHomQiVa3z8JyBlaCpur3PqN37JZju+x1Gl7t+YdI+t9O9cC6tXjmMn0fdQXHRrlSbllGoeChKuuP1l707Oe3lSXi1+WpZPFp0g9uWwMmP1879kog/kMXgYf9H0fAJzGsylIOWP8v6fw9kzo8fpdq0jEHFQ1HSHls8jAl7F+5psY6XEWsdSPltPPZC310u+xKu+BYatvQuzJgh5LfvyoBbPmL24aMQDH2+u5ip/zmNjat/T7VpaY+Kh6KkO27Po6zIOuY2C7d5renwmr5bm55H5wMt4agj9D38TPJvn8rPHYfTZ/t4cp8bwi9j/k5ZaUmqTUtbVDwUJVMwBkrtuHxOo3C71za0XmGrRJcnyXBy8xpy0BUPsf7isSzO68MBCx5i2QODWTDl21SblpaoeChK2uOR88h2TYv1qpZb2fTdRK0wryN07N6bfW//mqlDnqBRcDs9Pj2TSU9cwNaNa1NtWlqh4qEoGYMrBOX2PMrDVi6R8ZqqW5s5jzqO+HwMPO4SGt4yjQl7nM+ATZ9jRg5i8nuPEQqmaCvfNEPFQ1HSHXElzB2yXeLh3u/cobJiiRq2qjaNGjfjwKufYcU5X7I2qxP7z76X3x44mCVzfkm1aSlHxUNR0h7Ho3CLR0NXt0fC3GvhoNcCw+qyh113q+/ZsNcx8V+f4XTtfQA97hzPpH5/p03pSjq9cxwTn7mKndu3pNq0lKF/gihKuuOU/XCv7XCHqDxLtlcSmtod8bjoQ9j6O7QfGP+1dQSf38fg069j26HnMPWN2xi89i02PvI1Cwb/mQHHXYZ47Rtfh6lfP62iZCJH/9Xama/Xqd79nlN1K1skuBs5j7zm9Vo43DRt2YYDrnuFhSe/z3Z/cwZOupnZDx7F8oWzUm1aUlHxUJR0J6extTOfzw/H/Rv2PTey3yvn4bnCPBC7ryrq2V/V1aHHoCPpetckftnnTroWzmOP145gwgu3ULRrZ6pNSwpJ+0aIyCgRWS8ic2L0NxWRT0RkpojMFZHLXH2XiMhC+3VJsmxWlLRjyNVwxvORbV45D6/QVHmZdhWC2sIfCHDAsLsovvoXZjU9nANXvsCmhwYw8/t3Um1awknmt2g0cFwl/dcC84wx/YDDgf+ISLaItADuBQ4ABgP3ikjzBNuqKJlDZZ6H1x4f7jalVshv25lBN7/HnKNeJSgB+o27kmkPncTaFYtSbVrCSJp4GGPGAZXtwGKAxiIiQCN7bBlwLPCNMWazMWYL8A2Vi5Ci1C8qzXl4iAfVEA9dSLhb9Dn4FPa4YxoTu15Lz52/0PiFg5jw6r2UlhSn2rRaJ53815FAT2A1MBu4wRgTAtoDK1zjVtptFRCR4SIyRUSmbNiwIdH2Kkp64LnOwyNs5eWNxMKZCnzZFzBsTM3sq2dk5+Qy5JJ/suWy8SxsOIADFz/GygcGMW/CF6k2rVZJJ/E4FpgBtAP6AyNFpAmetRm8/3QyxjxvjBlkjBnUqlWrxFmqKOmEsXfDE5+1qx9UnjCvludhj83fG/Y5ocYm1kfadelB/9u/ZMbQZ8gzhfT6ahiTHj2XjetWVn1xBpBO4nEZ8L6xWAQsBfbB8jQ6usZ1wPJOFEWBSPFoYFe69fI8nFXp5Z5HJTsAOqGwkJbiqCn9jz6fprdMY2L7S+m/9RuynxnMxLcfIlhWlmrTakQ6icdy4A8AItIG6AEsAb4CjhGR5nai/Bi7TVHqNwf8Cdr0DYuHzw8NKplLEr3HuNesq56nQNNOcPid1vvcprVjaz0nr1EThvzxcdac9x0rsvdkyLy/s+SBISycPjbVpu02SVthLiJjsGZR5YvISqwZVFkAxphngfuB0SIyG+tPojuMMRvta+8HJtu3+psxprLEu6LUD45/wDr+Pt46is9azAdQvMM6uvMb5eJhwuNNlGdx7qvh80GX16q5CnTeZz/MnT8w5bP/0mXqP2nx4alMGn8KPc5/kKYt90i1eXGRNPEwxpxXRf9qLK/Cq28UMCoRdilKxuMOW/U4EZaOg8Ztnc7wuOiEuc8PodKkmalYiM/HoJOvYvuhZ/PL63ey/7p32PHk90zuewsDT7senz8zqh6nU9hKUZTdwclLiMABV8GNs6HtvhXHle/34fI8lJTRpGkLDrzmeZad/SVrsjqz/+z7WPSvISya8WOqTasW+u1RlLqCP8cSkGadIjeGcnCS4I7nIX7odgSVJs6VhNO9zwH0vOtHJu33AC3K1tPtg5OZNPJStm9an2rTKkXFQ1Eyna6HWsnzU54Mt3nVoor2NMQHF30A921NrH1KlYjPx+BT/0TWDVOZ1PosBm74kOCTA5n8/uNpu/mUioeiZDo+v5U8b9I23FaZ51E+RiJLuyspp2nzfIZc+wJLz/qCtVkd2H/WX/jtgaEsnvVTqk2rgIqHotRF3EJx+nNwysiwoJTnSFy//k3dS6mUVLNn3wPtzaf+QevSVXR570QmPXU527ZsTLVp5ah4KEpdxO159BsGAy5yLfyzZ1i5xeOaCXDrwuTZp1SJz+9n8Okj8F8/ncmtzmDg+vcJPr4fkz8ciUmDxZsqHopSF/FaYe4IStAWD7d3ktMYGrVOvF1K3DRtkc+QEaNYesZnbAi0Y/8Z/8eCfx3MkjkTU2qXioei1EUcYfDnhNta97SOPU+2jkfek1yblBqxZ7+h7HXXz0ze92+0KV1J53eO45enr2T71k0psUdMHa3tP2jQIDNlypRUm6EoqWP8o7DXsdCmV7htxzrLw9BEeUazbdM65r9xO/tv/IjN0pTfB9zBwJOurvE+6iIy1RgzqFpjVTwURVEyk4UzfsR8ejN7l/3GvKw+5J32CF17H7Db94tHPDRspSiKkqHs1f8Q9rxrIpP63kfb0mV0fPs4Jj5zFUWFBQn/bBUPRVGUDMbn9zP4zJuQEVOYmn8yLTZNIysrp+oLa0jSCiMqiqIoiaNZ/h4ccN0rFBftwh9I/KNdPQ9FUZQ6RE5ug6R8joqHoiiKEjcqHoqiKErcqHgoiqIocaPioSiKosSNioeiKIoSNzfLB9UAAARFSURBVCoeiqIoStyoeCiKoihxU2drW4nIBmDZbl7eFNhWi+aky2fXxr139x7xXhfP+OqMrWpMPpA+O+3UHvpdrv171OXvcmdjTKtqjTTG6CvqBTxfFz+7Nu69u/eI97p4xldnbFVjgCmp+j9P5Eu/y7V/D/0uWy8NW3nzSR397Nq49+7eI97r4hlfnbGp/D9NJfpdrv176HeZOhy2UpR4EJEpppqlqBUlnUnWd1k9D0WxeD7VBihKLZGU77J6HoqiKErcqOehKIqixI2Kh6IoihI3Kh6KoihK3Kh4KEoViEg3EXlRRN5NtS2KEi8i0lBEXhaR/4rIBbV1XxUPpU4jIqNEZL2IzIlqP05EFojIIhG5s7J7GGOWGGOuSKylilJ94vxenwG8a4z5I3BKbdmg4qHUdUYDx7kbRMQPPAUcD/QCzhORXiLSV0Q+jXq1Tr7JilIlo6nm9xroAKywhwVry4DE75KuKCnEGDNORLpENQ8GFhljlgCIyJvAqcaYfwEnJddCRYmfeL7XwEosAZlBLToM6nko9ZH2hP8SA+uXq32swSLSUkSeBfYTkbsSbZyi7CaxvtfvA2eKyDPUYmkT9TyU+oh4tMVcLWuM2QRcnThzFKVW8PxeG2MKgMtq+8PU81DqIyuBjq73HYDVKbJFUWqLpH6vVTyU+shkYC8R6Soi2cAw4OMU26QoNSWp32sVD6VOIyJjgAlADxFZKSJXGGPKgBHAV8CvwNvGmLmptFNR4iEdvtdaGFFRFEWJG/U8FEVRlLhR8VAURVHiRsVDURRFiRsVD0VRFCVuVDwURVGUuFHxUBRFUeJGxUNRFEWJGxUPRVEUJW5UPBSlBojIUSLyaow+4+4TkYCIbBCRT5NnoaIkBhUPRakZ/YDpMfoKgD4ikme/PxpYlRSrFCXBqHgoSs3oB0wXkRwRGS0i/xQRd2nsL4AT7fPzgDFOh4h0EZH59v7Ss0TkXRFpYPddbLfNjOXZKEoqUfFQlJrRD1iPVYzuW2PM3SayYNybwDARyQX2BX6Jur4H8LwxZl9gO3CNiPQG/g840hjTD7gh0T+EosSLbgalKLuJiGQBXbC8iauMMROixxhjZtnbhZ4HfO5xmxXGmJ/s89eA64Fi4F1jzEb7Hptr3XhFqSHqeSjK7tMLaw+FMiBYybiPgYdxhaxcRJe1Nlg7wmm5ayWtUfFQlN2nH/Az1qY7L4lImxjjRgF/M8bM9ujrJCIH2ufnAeOB74BzRKQlgIi0qF2zFaXmqHgoyu7TD5hjjPkNuAN42w5lRWCMWWmMeTzGPX4FLhGRWUAL4Bl7A59/AGNFZCbwSGLMV5TdRzeDUpQUYedCPjXG9EmxKYoSN+p5KIqiKHGjnoeiKIoSN+p5KIqiKHGj4qEoiqLEjYqHoiiKEjcqHoqiKErcqHgoiqIocaPioSiKosSNioeiKIoSNyoeiqIoStz8P+DY9k4NfilbAAAAAElFTkSuQmCC
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
+"
+>
+</div>
+
+</div>
+
+</div>
+</div>
+
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[38]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython2"><pre><span></span><span class="c1">#Note that lensing washes out small features on small scales</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ls</span><span class="p">,(</span><span class="n">cl_unlensed3</span><span class="p">[</span><span class="mi">2</span><span class="p">:</span><span class="n">lmax</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">/</span><span class="n">cl_unlensed</span><span class="p">[</span><span class="mi">2</span><span class="p">:</span><span class="n">lmax</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">-</span><span class="mi">1</span><span class="p">))</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ls</span><span class="p">,(</span><span class="n">cl3</span><span class="p">[</span><span class="mi">2</span><span class="p">:</span><span class="n">lmax</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">/</span><span class="n">cl</span><span class="p">[</span><span class="mi">2</span><span class="p">:</span><span class="n">lmax</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">-</span><span class="mi">1</span><span class="p">))</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$\ell$&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;$\Delta C_\ell/C_\ell$&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="s1">&#39;Unlensed&#39;</span><span class="p">,</span><span class="s1">&#39;Lensed&#39;</span><span class="p">])</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;Fractional $C_\ell$ difference to power law&#39;</span><span class="p">);</span>
+</pre></div>
+
+</div>
+</div>
+</div>
+
+<div class="output_wrapper">
+<div class="output">
+
+
+<div class="output_area">
+
+<div class="prompt"></div>
+
+
 
 
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
 "
 >
 </div>
@@ -11691,4 +13618,8 @@
     </div>
   </div>
 </body>
+
+ 
+
+
 </html>
diff --git a/pycamb/docs/CAMBdemo.ipynb b/pycamb/docs/CAMBdemo.ipynb
index f02b12d9..12277370 100644
--- a/pycamb/docs/CAMBdemo.ipynb
+++ b/pycamb/docs/CAMBdemo.ipynb
@@ -976,7 +976,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -993,7 +993,7 @@
     "#For example, this plots the Newtonian gauge density compared to the synchronous gauge one\n",
     "import camb.symbolic as cs\n",
     "Delta_c_N = cs.make_frame_invariant(cs.Delta_c, 'Newtonian')\n",
-    "ev=data.get_time_evolution(k, eta, ['delta_cdm',cs.Delta_c])\n",
+    "ev=data.get_time_evolution(k, eta, ['delta_cdm',Delta_c_N])\n",
     "plt.figure(figsize=(6,4))\n",
     "plt.loglog(eta,ev[:,0])\n",
     "plt.loglog(eta,ev[:,1])\n",
