From c84c1858724755d5574490a75fd226fdcb6124c8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Mikkel=20Elle=20Lepper=C3=B8d?= <lep.mik@gmail.com>
Date: Wed, 18 Dec 2019 15:03:01 +0100
Subject: [PATCH] lfp speed results

---
 actions/lfp_speed/attributes.yaml             |     6 +-
 actions/lfp_speed/data/20_lfp_speed.html      | 14388 ++++++++++++++++
 actions/lfp_speed/data/20_lfp_speed.ipynb     |  1104 ++
 .../data/figures/frequency_score_11.png       |   Bin 0 -> 15813 bytes
 .../data/figures/frequency_score_11.svg       |     3 +
 .../data/figures/frequency_score_30.png       |   Bin 0 -> 17338 bytes
 .../data/figures/frequency_score_30.svg       |     3 +
 .../data/figures/frequency_score_combined.png |   Bin 0 -> 16771 bytes
 .../data/figures/frequency_score_combined.svg |     3 +
 .../lfp_speed/data/figures/lfp_speed_11.png   |   Bin 0 -> 28852 bytes
 .../lfp_speed/data/figures/lfp_speed_11.svg   |     3 +
 .../lfp_speed/data/figures/lfp_speed_30.png   |   Bin 0 -> 40843 bytes
 .../lfp_speed/data/figures/lfp_speed_30.svg   |     3 +
 .../data/figures/lfp_speed_combined.png       |   Bin 0 -> 33750 bytes
 .../data/figures/lfp_speed_combined.svg       |     3 +
 .../data/figures/lfp_speed_freq_11.png        |   Bin 0 -> 28285 bytes
 .../data/figures/lfp_speed_freq_11.svg        |     3 +
 .../data/figures/lfp_speed_freq_30.png        |   Bin 0 -> 41026 bytes
 .../data/figures/lfp_speed_freq_30.svg        |     3 +
 .../data/figures/lfp_speed_freq_combined.png  |   Bin 0 -> 33629 bytes
 .../data/figures/lfp_speed_freq_combined.svg  |     3 +
 .../data/figures/lfp_speed_power_11.png       |   Bin 0 -> 26568 bytes
 .../data/figures/lfp_speed_power_11.svg       |     3 +
 .../data/figures/lfp_speed_power_30.png       |   Bin 0 -> 26173 bytes
 .../data/figures/lfp_speed_power_30.svg       |     3 +
 .../data/figures/lfp_speed_power_combined.png |   Bin 0 -> 29486 bytes
 .../data/figures/lfp_speed_power_combined.svg |     3 +
 .../data/figures/mean_power_familiar.png      |   Bin 0 -> 27142 bytes
 .../data/figures/mean_power_familiar.svg      |     3 +
 actions/lfp_speed/data/figures/speed.png      |   Bin 0 -> 19790 bytes
 actions/lfp_speed/data/figures/speed.svg      |     3 +
 .../power_freq_score_summary_combined.csv     |     3 +
 .../power_freq_score_summary_combined.tex     |     8 +
 .../statistics/power_freq_score_summary_i.csv |     3 +
 .../statistics/power_freq_score_summary_i.tex |     8 +
 .../power_freq_score_summary_ii.csv           |     3 +
 .../power_freq_score_summary_ii.tex           |     8 +
 37 files changed, 15571 insertions(+), 2 deletions(-)
 create mode 100644 actions/lfp_speed/data/20_lfp_speed.html
 create mode 100644 actions/lfp_speed/data/20_lfp_speed.ipynb
 create mode 100644 actions/lfp_speed/data/figures/frequency_score_11.png
 create mode 100644 actions/lfp_speed/data/figures/frequency_score_11.svg
 create mode 100644 actions/lfp_speed/data/figures/frequency_score_30.png
 create mode 100644 actions/lfp_speed/data/figures/frequency_score_30.svg
 create mode 100644 actions/lfp_speed/data/figures/frequency_score_combined.png
 create mode 100644 actions/lfp_speed/data/figures/frequency_score_combined.svg
 create mode 100644 actions/lfp_speed/data/figures/lfp_speed_11.png
 create mode 100644 actions/lfp_speed/data/figures/lfp_speed_11.svg
 create mode 100644 actions/lfp_speed/data/figures/lfp_speed_30.png
 create mode 100644 actions/lfp_speed/data/figures/lfp_speed_30.svg
 create mode 100644 actions/lfp_speed/data/figures/lfp_speed_combined.png
 create mode 100644 actions/lfp_speed/data/figures/lfp_speed_combined.svg
 create mode 100644 actions/lfp_speed/data/figures/lfp_speed_freq_11.png
 create mode 100644 actions/lfp_speed/data/figures/lfp_speed_freq_11.svg
 create mode 100644 actions/lfp_speed/data/figures/lfp_speed_freq_30.png
 create mode 100644 actions/lfp_speed/data/figures/lfp_speed_freq_30.svg
 create mode 100644 actions/lfp_speed/data/figures/lfp_speed_freq_combined.png
 create mode 100644 actions/lfp_speed/data/figures/lfp_speed_freq_combined.svg
 create mode 100644 actions/lfp_speed/data/figures/lfp_speed_power_11.png
 create mode 100644 actions/lfp_speed/data/figures/lfp_speed_power_11.svg
 create mode 100644 actions/lfp_speed/data/figures/lfp_speed_power_30.png
 create mode 100644 actions/lfp_speed/data/figures/lfp_speed_power_30.svg
 create mode 100644 actions/lfp_speed/data/figures/lfp_speed_power_combined.png
 create mode 100644 actions/lfp_speed/data/figures/lfp_speed_power_combined.svg
 create mode 100644 actions/lfp_speed/data/figures/mean_power_familiar.png
 create mode 100644 actions/lfp_speed/data/figures/mean_power_familiar.svg
 create mode 100644 actions/lfp_speed/data/figures/speed.png
 create mode 100644 actions/lfp_speed/data/figures/speed.svg
 create mode 100644 actions/lfp_speed/data/statistics/power_freq_score_summary_combined.csv
 create mode 100644 actions/lfp_speed/data/statistics/power_freq_score_summary_combined.tex
 create mode 100644 actions/lfp_speed/data/statistics/power_freq_score_summary_i.csv
 create mode 100644 actions/lfp_speed/data/statistics/power_freq_score_summary_i.tex
 create mode 100644 actions/lfp_speed/data/statistics/power_freq_score_summary_ii.csv
 create mode 100644 actions/lfp_speed/data/statistics/power_freq_score_summary_ii.tex

diff --git a/actions/lfp_speed/attributes.yaml b/actions/lfp_speed/attributes.yaml
index 486a3934e..5ddf72557 100644
--- a/actions/lfp_speed/attributes.yaml
+++ b/actions/lfp_speed/attributes.yaml
@@ -1,5 +1,7 @@
 registered: '2019-12-12T16:02:42'
 data:
   results: results.exdir
-  notebook: 10_lfp_speed.ipynb
-  html: 10_lfp_speed.html
+  notebook: 20_lfp_speed.ipynb
+  html: 20_lfp_speed.html
+  figures: figures
+  statistics: statistics
diff --git a/actions/lfp_speed/data/20_lfp_speed.html b/actions/lfp_speed/data/20_lfp_speed.html
new file mode 100644
index 000000000..6bae89455
--- /dev/null
+++ b/actions/lfp_speed/data/20_lfp_speed.html
@@ -0,0 +1,14388 @@
+<!DOCTYPE html>
+<html>
+<head><meta charset="utf-8" />
+
+<title>20_lfp_speed</title>
+
+<script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.3/jquery.min.js"></script>
+
+
+
+<style type="text/css">
+    /*!
+*
+* Twitter Bootstrap
+*
+*/
+/*!
+ * Bootstrap v3.3.7 (http://getbootstrap.com)
+ * Copyright 2011-2016 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ */
+/*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */
+html {
+  font-family: sans-serif;
+  -ms-text-size-adjust: 100%;
+  -webkit-text-size-adjust: 100%;
+}
+body {
+  margin: 0;
+}
+article,
+aside,
+details,
+figcaption,
+figure,
+footer,
+header,
+hgroup,
+main,
+menu,
+nav,
+section,
+summary {
+  display: block;
+}
+audio,
+canvas,
+progress,
+video {
+  display: inline-block;
+  vertical-align: baseline;
+}
+audio:not([controls]) {
+  display: none;
+  height: 0;
+}
+[hidden],
+template {
+  display: none;
+}
+a {
+  background-color: transparent;
+}
+a:active,
+a:hover {
+  outline: 0;
+}
+abbr[title] {
+  border-bottom: 1px dotted;
+}
+b,
+strong {
+  font-weight: bold;
+}
+dfn {
+  font-style: italic;
+}
+h1 {
+  font-size: 2em;
+  margin: 0.67em 0;
+}
+mark {
+  background: #ff0;
+  color: #000;
+}
+small {
+  font-size: 80%;
+}
+sub,
+sup {
+  font-size: 75%;
+  line-height: 0;
+  position: relative;
+  vertical-align: baseline;
+}
+sup {
+  top: -0.5em;
+}
+sub {
+  bottom: -0.25em;
+}
+img {
+  border: 0;
+}
+svg:not(:root) {
+  overflow: hidden;
+}
+figure {
+  margin: 1em 40px;
+}
+hr {
+  box-sizing: content-box;
+  height: 0;
+}
+pre {
+  overflow: auto;
+}
+code,
+kbd,
+pre,
+samp {
+  font-family: monospace, monospace;
+  font-size: 1em;
+}
+button,
+input,
+optgroup,
+select,
+textarea {
+  color: inherit;
+  font: inherit;
+  margin: 0;
+}
+button {
+  overflow: visible;
+}
+button,
+select {
+  text-transform: none;
+}
+button,
+html input[type="button"],
+input[type="reset"],
+input[type="submit"] {
+  -webkit-appearance: button;
+  cursor: pointer;
+}
+button[disabled],
+html input[disabled] {
+  cursor: default;
+}
+button::-moz-focus-inner,
+input::-moz-focus-inner {
+  border: 0;
+  padding: 0;
+}
+input {
+  line-height: normal;
+}
+input[type="checkbox"],
+input[type="radio"] {
+  box-sizing: border-box;
+  padding: 0;
+}
+input[type="number"]::-webkit-inner-spin-button,
+input[type="number"]::-webkit-outer-spin-button {
+  height: auto;
+}
+input[type="search"] {
+  -webkit-appearance: textfield;
+  box-sizing: content-box;
+}
+input[type="search"]::-webkit-search-cancel-button,
+input[type="search"]::-webkit-search-decoration {
+  -webkit-appearance: none;
+}
+fieldset {
+  border: 1px solid #c0c0c0;
+  margin: 0 2px;
+  padding: 0.35em 0.625em 0.75em;
+}
+legend {
+  border: 0;
+  padding: 0;
+}
+textarea {
+  overflow: auto;
+}
+optgroup {
+  font-weight: bold;
+}
+table {
+  border-collapse: collapse;
+  border-spacing: 0;
+}
+td,
+th {
+  padding: 0;
+}
+/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */
+@media print {
+  *,
+  *:before,
+  *:after {
+    background: transparent !important;
+    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 {
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+}
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+  content: "\e031";
+}
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+  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";
+}
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+  content: "\e042";
+}
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+  content: "\e043";
+}
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+}
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+}
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+  content: "\e046";
+}
+.glyphicon-font:before {
+  content: "\e047";
+}
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+  content: "\e048";
+}
+.glyphicon-italic:before {
+  content: "\e049";
+}
+.glyphicon-text-height:before {
+  content: "\e050";
+}
+.glyphicon-text-width:before {
+  content: "\e051";
+}
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+  content: "\e052";
+}
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+  content: "\e053";
+}
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+  content: "\e054";
+}
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+  content: "\e055";
+}
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+  content: "\e056";
+}
+.glyphicon-indent-left:before {
+  content: "\e057";
+}
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+  content: "\e058";
+}
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+  content: "\e059";
+}
+.glyphicon-picture:before {
+  content: "\e060";
+}
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+  content: "\e062";
+}
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+  content: "\e063";
+}
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+  content: "\e064";
+}
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+  content: "\e065";
+}
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+  content: "\e066";
+}
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+  content: "\e067";
+}
+.glyphicon-move:before {
+  content: "\e068";
+}
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+  content: "\e069";
+}
+.glyphicon-fast-backward:before {
+  content: "\e070";
+}
+.glyphicon-backward:before {
+  content: "\e071";
+}
+.glyphicon-play:before {
+  content: "\e072";
+}
+.glyphicon-pause:before {
+  content: "\e073";
+}
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+  content: "\e074";
+}
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+}
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+}
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+}
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+}
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+  content: "\e081";
+}
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+  content: "\e082";
+}
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+}
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+}
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+}
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+  content: "\e086";
+}
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+  content: "\e087";
+}
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+  content: "\e088";
+}
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+  content: "\e089";
+}
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+  content: "\e090";
+}
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+  content: "\e091";
+}
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+  content: "\e092";
+}
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+  content: "\e093";
+}
+.glyphicon-arrow-down:before {
+  content: "\e094";
+}
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+  content: "\e095";
+}
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+  content: "\e096";
+}
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+  content: "\e097";
+}
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+  content: "\e101";
+}
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+  content: "\e102";
+}
+.glyphicon-leaf:before {
+  content: "\e103";
+}
+.glyphicon-fire:before {
+  content: "\e104";
+}
+.glyphicon-eye-open:before {
+  content: "\e105";
+}
+.glyphicon-eye-close:before {
+  content: "\e106";
+}
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+  content: "\e107";
+}
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+  content: "\e108";
+}
+.glyphicon-calendar:before {
+  content: "\e109";
+}
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+  content: "\e110";
+}
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+  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";
+}
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+  content: "\e144";
+}
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+  content: "\e145";
+}
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+  content: "\e146";
+}
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+  content: "\e148";
+}
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+  content: "\e149";
+}
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+  content: "\e150";
+}
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+  content: "\e151";
+}
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+  content: "\e152";
+}
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+  content: "\e153";
+}
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+  content: "\e154";
+}
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+  content: "\e155";
+}
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+  content: "\e156";
+}
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+  content: "\e157";
+}
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+  content: "\e158";
+}
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+  content: "\e159";
+}
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+  content: "\e160";
+}
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+  content: "\e161";
+}
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+  content: "\e162";
+}
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+  content: "\e163";
+}
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+  content: "\e164";
+}
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+  content: "\e165";
+}
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+  content: "\e166";
+}
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+}
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+}
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+  content: "\e169";
+}
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+  content: "\e170";
+}
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+  content: "\e171";
+}
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+  content: "\e172";
+}
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+  content: "\e173";
+}
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+  content: "\e174";
+}
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+  content: "\e175";
+}
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+  content: "\e176";
+}
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+  content: "\e177";
+}
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+  content: "\e178";
+}
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+  content: "\e179";
+}
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+  content: "\e180";
+}
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+  content: "\e181";
+}
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+  content: "\e182";
+}
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+  content: "\e183";
+}
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+  content: "\e184";
+}
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+  content: "\e185";
+}
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+  content: "\e186";
+}
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+}
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+  content: "\e188";
+}
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+  content: "\e189";
+}
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+  content: "\e190";
+}
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+  content: "\e191";
+}
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+  content: "\e192";
+}
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+  content: "\e193";
+}
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+  content: "\e194";
+}
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+  content: "\e195";
+}
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+  content: "\e197";
+}
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+  content: "\e198";
+}
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+  content: "\e199";
+}
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+  content: "\e200";
+}
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+}
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+  content: "\e202";
+}
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+  content: "\e203";
+}
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+  content: "\e204";
+}
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+  content: "\e205";
+}
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+  content: "\e206";
+}
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+  content: "\e209";
+}
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+}
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+  content: "\e211";
+}
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+}
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+}
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+  content: "\e214";
+}
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+  content: "\e215";
+}
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+  content: "\e216";
+}
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+  content: "\26fa";
+}
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+  content: "\e218";
+}
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+  content: "\e219";
+}
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+  content: "\f8ff";
+}
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+  content: "\e221";
+}
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+  content: "\231b";
+}
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+  content: "\e223";
+}
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+  content: "\e224";
+}
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+  content: "\e225";
+}
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+  content: "\e226";
+}
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+  content: "\e227";
+}
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+  content: "\e227";
+}
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+  content: "\e227";
+}
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+  content: "\00a5";
+}
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+  content: "\00a5";
+}
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+}
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+  content: "\20bd";
+}
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+}
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+  content: "\e231";
+}
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+  content: "\e232";
+}
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+  content: "\e233";
+}
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+  content: "\e234";
+}
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+  content: "\e235";
+}
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+  content: "\e236";
+}
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+  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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+}
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+}
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+}
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+}
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+  content: "\e255";
+}
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+  content: "\e256";
+}
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+  content: "\e257";
+}
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+  content: "\e258";
+}
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+  content: "\e259";
+}
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+  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,
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+  font-family: inherit;
+  font-weight: 500;
+  line-height: 1.1;
+  color: inherit;
+}
+h1 small,
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+.h3 .small,
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+.h5 .small,
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+  font-weight: normal;
+  line-height: 1;
+  color: #777777;
+}
+h1,
+.h1,
+h2,
+.h2,
+h3,
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+  margin-top: 18px;
+  margin-bottom: 9px;
+}
+h1 small,
+.h1 small,
+h2 small,
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+h3 small,
+.h3 small,
+h1 .small,
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+h2 .small,
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+  font-size: 65%;
+}
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+h5,
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+h6,
+.h6 {
+  margin-top: 9px;
+  margin-bottom: 9px;
+}
+h4 small,
+.h4 small,
+h5 small,
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+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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+  font-size: 23px;
+}
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+  font-size: 17px;
+}
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+  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;
+}
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+  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;
+}
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+  padding-left: 0;
+  list-style: none;
+}
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+  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';
+}
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+blockquote.pull-right {
+  padding-right: 15px;
+  padding-left: 0;
+  border-right: 5px solid #eeeeee;
+  border-left: 0;
+  text-align: right;
+}
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+blockquote.pull-right footer:before,
+.blockquote-reverse small:before,
+blockquote.pull-right small:before,
+.blockquote-reverse .small:before,
+blockquote.pull-right .small:before {
+  content: '';
+}
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+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';
+}
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+  margin-bottom: 18px;
+  font-style: normal;
+  line-height: 1.42857143;
+}
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+pre,
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+  font-family: monospace;
+}
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+  padding: 2px 4px;
+  font-size: 90%;
+  color: #c7254e;
+  background-color: #f9f2f4;
+  border-radius: 2px;
+}
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+  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);
+}
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+  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;
+}
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+  padding: 0;
+  font-size: inherit;
+  color: inherit;
+  white-space: pre-wrap;
+  background-color: transparent;
+  border-radius: 0;
+}
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+  max-height: 340px;
+  overflow-y: scroll;
+}
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+  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;
+  }
+}
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+  margin-right: auto;
+  margin-left: auto;
+  padding-left: 0px;
+  padding-right: 0px;
+}
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+  margin-left: 0px;
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+}
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+  position: relative;
+  min-height: 1px;
+  padding-left: 0px;
+  padding-right: 0px;
+}
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+  float: left;
+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+  width: 33.33333333%;
+}
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+  width: 25%;
+}
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+  width: 16.66666667%;
+}
+.col-xs-1 {
+  width: 8.33333333%;
+}
+.col-xs-pull-12 {
+  right: 100%;
+}
+.col-xs-pull-11 {
+  right: 91.66666667%;
+}
+.col-xs-pull-10 {
+  right: 83.33333333%;
+}
+.col-xs-pull-9 {
+  right: 75%;
+}
+.col-xs-pull-8 {
+  right: 66.66666667%;
+}
+.col-xs-pull-7 {
+  right: 58.33333333%;
+}
+.col-xs-pull-6 {
+  right: 50%;
+}
+.col-xs-pull-5 {
+  right: 41.66666667%;
+}
+.col-xs-pull-4 {
+  right: 33.33333333%;
+}
+.col-xs-pull-3 {
+  right: 25%;
+}
+.col-xs-pull-2 {
+  right: 16.66666667%;
+}
+.col-xs-pull-1 {
+  right: 8.33333333%;
+}
+.col-xs-pull-0 {
+  right: auto;
+}
+.col-xs-push-12 {
+  left: 100%;
+}
+.col-xs-push-11 {
+  left: 91.66666667%;
+}
+.col-xs-push-10 {
+  left: 83.33333333%;
+}
+.col-xs-push-9 {
+  left: 75%;
+}
+.col-xs-push-8 {
+  left: 66.66666667%;
+}
+.col-xs-push-7 {
+  left: 58.33333333%;
+}
+.col-xs-push-6 {
+  left: 50%;
+}
+.col-xs-push-5 {
+  left: 41.66666667%;
+}
+.col-xs-push-4 {
+  left: 33.33333333%;
+}
+.col-xs-push-3 {
+  left: 25%;
+}
+.col-xs-push-2 {
+  left: 16.66666667%;
+}
+.col-xs-push-1 {
+  left: 8.33333333%;
+}
+.col-xs-push-0 {
+  left: auto;
+}
+.col-xs-offset-12 {
+  margin-left: 100%;
+}
+.col-xs-offset-11 {
+  margin-left: 91.66666667%;
+}
+.col-xs-offset-10 {
+  margin-left: 83.33333333%;
+}
+.col-xs-offset-9 {
+  margin-left: 75%;
+}
+.col-xs-offset-8 {
+  margin-left: 66.66666667%;
+}
+.col-xs-offset-7 {
+  margin-left: 58.33333333%;
+}
+.col-xs-offset-6 {
+  margin-left: 50%;
+}
+.col-xs-offset-5 {
+  margin-left: 41.66666667%;
+}
+.col-xs-offset-4 {
+  margin-left: 33.33333333%;
+}
+.col-xs-offset-3 {
+  margin-left: 25%;
+}
+.col-xs-offset-2 {
+  margin-left: 16.66666667%;
+}
+.col-xs-offset-1 {
+  margin-left: 8.33333333%;
+}
+.col-xs-offset-0 {
+  margin-left: 0%;
+}
+@media (min-width: 768px) {
+  .col-sm-1, .col-sm-2, .col-sm-3, .col-sm-4, .col-sm-5, .col-sm-6, .col-sm-7, .col-sm-8, .col-sm-9, .col-sm-10, .col-sm-11, .col-sm-12 {
+    float: left;
+  }
+  .col-sm-12 {
+    width: 100%;
+  }
+  .col-sm-11 {
+    width: 91.66666667%;
+  }
+  .col-sm-10 {
+    width: 83.33333333%;
+  }
+  .col-sm-9 {
+    width: 75%;
+  }
+  .col-sm-8 {
+    width: 66.66666667%;
+  }
+  .col-sm-7 {
+    width: 58.33333333%;
+  }
+  .col-sm-6 {
+    width: 50%;
+  }
+  .col-sm-5 {
+    width: 41.66666667%;
+  }
+  .col-sm-4 {
+    width: 33.33333333%;
+  }
+  .col-sm-3 {
+    width: 25%;
+  }
+  .col-sm-2 {
+    width: 16.66666667%;
+  }
+  .col-sm-1 {
+    width: 8.33333333%;
+  }
+  .col-sm-pull-12 {
+    right: 100%;
+  }
+  .col-sm-pull-11 {
+    right: 91.66666667%;
+  }
+  .col-sm-pull-10 {
+    right: 83.33333333%;
+  }
+  .col-sm-pull-9 {
+    right: 75%;
+  }
+  .col-sm-pull-8 {
+    right: 66.66666667%;
+  }
+  .col-sm-pull-7 {
+    right: 58.33333333%;
+  }
+  .col-sm-pull-6 {
+    right: 50%;
+  }
+  .col-sm-pull-5 {
+    right: 41.66666667%;
+  }
+  .col-sm-pull-4 {
+    right: 33.33333333%;
+  }
+  .col-sm-pull-3 {
+    right: 25%;
+  }
+  .col-sm-pull-2 {
+    right: 16.66666667%;
+  }
+  .col-sm-pull-1 {
+    right: 8.33333333%;
+  }
+  .col-sm-pull-0 {
+    right: auto;
+  }
+  .col-sm-push-12 {
+    left: 100%;
+  }
+  .col-sm-push-11 {
+    left: 91.66666667%;
+  }
+  .col-sm-push-10 {
+    left: 83.33333333%;
+  }
+  .col-sm-push-9 {
+    left: 75%;
+  }
+  .col-sm-push-8 {
+    left: 66.66666667%;
+  }
+  .col-sm-push-7 {
+    left: 58.33333333%;
+  }
+  .col-sm-push-6 {
+    left: 50%;
+  }
+  .col-sm-push-5 {
+    left: 41.66666667%;
+  }
+  .col-sm-push-4 {
+    left: 33.33333333%;
+  }
+  .col-sm-push-3 {
+    left: 25%;
+  }
+  .col-sm-push-2 {
+    left: 16.66666667%;
+  }
+  .col-sm-push-1 {
+    left: 8.33333333%;
+  }
+  .col-sm-push-0 {
+    left: auto;
+  }
+  .col-sm-offset-12 {
+    margin-left: 100%;
+  }
+  .col-sm-offset-11 {
+    margin-left: 91.66666667%;
+  }
+  .col-sm-offset-10 {
+    margin-left: 83.33333333%;
+  }
+  .col-sm-offset-9 {
+    margin-left: 75%;
+  }
+  .col-sm-offset-8 {
+    margin-left: 66.66666667%;
+  }
+  .col-sm-offset-7 {
+    margin-left: 58.33333333%;
+  }
+  .col-sm-offset-6 {
+    margin-left: 50%;
+  }
+  .col-sm-offset-5 {
+    margin-left: 41.66666667%;
+  }
+  .col-sm-offset-4 {
+    margin-left: 33.33333333%;
+  }
+  .col-sm-offset-3 {
+    margin-left: 25%;
+  }
+  .col-sm-offset-2 {
+    margin-left: 16.66666667%;
+  }
+  .col-sm-offset-1 {
+    margin-left: 8.33333333%;
+  }
+  .col-sm-offset-0 {
+    margin-left: 0%;
+  }
+}
+@media (min-width: 992px) {
+  .col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-11, .col-md-12 {
+    float: left;
+  }
+  .col-md-12 {
+    width: 100%;
+  }
+  .col-md-11 {
+    width: 91.66666667%;
+  }
+  .col-md-10 {
+    width: 83.33333333%;
+  }
+  .col-md-9 {
+    width: 75%;
+  }
+  .col-md-8 {
+    width: 66.66666667%;
+  }
+  .col-md-7 {
+    width: 58.33333333%;
+  }
+  .col-md-6 {
+    width: 50%;
+  }
+  .col-md-5 {
+    width: 41.66666667%;
+  }
+  .col-md-4 {
+    width: 33.33333333%;
+  }
+  .col-md-3 {
+    width: 25%;
+  }
+  .col-md-2 {
+    width: 16.66666667%;
+  }
+  .col-md-1 {
+    width: 8.33333333%;
+  }
+  .col-md-pull-12 {
+    right: 100%;
+  }
+  .col-md-pull-11 {
+    right: 91.66666667%;
+  }
+  .col-md-pull-10 {
+    right: 83.33333333%;
+  }
+  .col-md-pull-9 {
+    right: 75%;
+  }
+  .col-md-pull-8 {
+    right: 66.66666667%;
+  }
+  .col-md-pull-7 {
+    right: 58.33333333%;
+  }
+  .col-md-pull-6 {
+    right: 50%;
+  }
+  .col-md-pull-5 {
+    right: 41.66666667%;
+  }
+  .col-md-pull-4 {
+    right: 33.33333333%;
+  }
+  .col-md-pull-3 {
+    right: 25%;
+  }
+  .col-md-pull-2 {
+    right: 16.66666667%;
+  }
+  .col-md-pull-1 {
+    right: 8.33333333%;
+  }
+  .col-md-pull-0 {
+    right: auto;
+  }
+  .col-md-push-12 {
+    left: 100%;
+  }
+  .col-md-push-11 {
+    left: 91.66666667%;
+  }
+  .col-md-push-10 {
+    left: 83.33333333%;
+  }
+  .col-md-push-9 {
+    left: 75%;
+  }
+  .col-md-push-8 {
+    left: 66.66666667%;
+  }
+  .col-md-push-7 {
+    left: 58.33333333%;
+  }
+  .col-md-push-6 {
+    left: 50%;
+  }
+  .col-md-push-5 {
+    left: 41.66666667%;
+  }
+  .col-md-push-4 {
+    left: 33.33333333%;
+  }
+  .col-md-push-3 {
+    left: 25%;
+  }
+  .col-md-push-2 {
+    left: 16.66666667%;
+  }
+  .col-md-push-1 {
+    left: 8.33333333%;
+  }
+  .col-md-push-0 {
+    left: auto;
+  }
+  .col-md-offset-12 {
+    margin-left: 100%;
+  }
+  .col-md-offset-11 {
+    margin-left: 91.66666667%;
+  }
+  .col-md-offset-10 {
+    margin-left: 83.33333333%;
+  }
+  .col-md-offset-9 {
+    margin-left: 75%;
+  }
+  .col-md-offset-8 {
+    margin-left: 66.66666667%;
+  }
+  .col-md-offset-7 {
+    margin-left: 58.33333333%;
+  }
+  .col-md-offset-6 {
+    margin-left: 50%;
+  }
+  .col-md-offset-5 {
+    margin-left: 41.66666667%;
+  }
+  .col-md-offset-4 {
+    margin-left: 33.33333333%;
+  }
+  .col-md-offset-3 {
+    margin-left: 25%;
+  }
+  .col-md-offset-2 {
+    margin-left: 16.66666667%;
+  }
+  .col-md-offset-1 {
+    margin-left: 8.33333333%;
+  }
+  .col-md-offset-0 {
+    margin-left: 0%;
+  }
+}
+@media (min-width: 1200px) {
+  .col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-11, .col-lg-12 {
+    float: left;
+  }
+  .col-lg-12 {
+    width: 100%;
+  }
+  .col-lg-11 {
+    width: 91.66666667%;
+  }
+  .col-lg-10 {
+    width: 83.33333333%;
+  }
+  .col-lg-9 {
+    width: 75%;
+  }
+  .col-lg-8 {
+    width: 66.66666667%;
+  }
+  .col-lg-7 {
+    width: 58.33333333%;
+  }
+  .col-lg-6 {
+    width: 50%;
+  }
+  .col-lg-5 {
+    width: 41.66666667%;
+  }
+  .col-lg-4 {
+    width: 33.33333333%;
+  }
+  .col-lg-3 {
+    width: 25%;
+  }
+  .col-lg-2 {
+    width: 16.66666667%;
+  }
+  .col-lg-1 {
+    width: 8.33333333%;
+  }
+  .col-lg-pull-12 {
+    right: 100%;
+  }
+  .col-lg-pull-11 {
+    right: 91.66666667%;
+  }
+  .col-lg-pull-10 {
+    right: 83.33333333%;
+  }
+  .col-lg-pull-9 {
+    right: 75%;
+  }
+  .col-lg-pull-8 {
+    right: 66.66666667%;
+  }
+  .col-lg-pull-7 {
+    right: 58.33333333%;
+  }
+  .col-lg-pull-6 {
+    right: 50%;
+  }
+  .col-lg-pull-5 {
+    right: 41.66666667%;
+  }
+  .col-lg-pull-4 {
+    right: 33.33333333%;
+  }
+  .col-lg-pull-3 {
+    right: 25%;
+  }
+  .col-lg-pull-2 {
+    right: 16.66666667%;
+  }
+  .col-lg-pull-1 {
+    right: 8.33333333%;
+  }
+  .col-lg-pull-0 {
+    right: auto;
+  }
+  .col-lg-push-12 {
+    left: 100%;
+  }
+  .col-lg-push-11 {
+    left: 91.66666667%;
+  }
+  .col-lg-push-10 {
+    left: 83.33333333%;
+  }
+  .col-lg-push-9 {
+    left: 75%;
+  }
+  .col-lg-push-8 {
+    left: 66.66666667%;
+  }
+  .col-lg-push-7 {
+    left: 58.33333333%;
+  }
+  .col-lg-push-6 {
+    left: 50%;
+  }
+  .col-lg-push-5 {
+    left: 41.66666667%;
+  }
+  .col-lg-push-4 {
+    left: 33.33333333%;
+  }
+  .col-lg-push-3 {
+    left: 25%;
+  }
+  .col-lg-push-2 {
+    left: 16.66666667%;
+  }
+  .col-lg-push-1 {
+    left: 8.33333333%;
+  }
+  .col-lg-push-0 {
+    left: auto;
+  }
+  .col-lg-offset-12 {
+    margin-left: 100%;
+  }
+  .col-lg-offset-11 {
+    margin-left: 91.66666667%;
+  }
+  .col-lg-offset-10 {
+    margin-left: 83.33333333%;
+  }
+  .col-lg-offset-9 {
+    margin-left: 75%;
+  }
+  .col-lg-offset-8 {
+    margin-left: 66.66666667%;
+  }
+  .col-lg-offset-7 {
+    margin-left: 58.33333333%;
+  }
+  .col-lg-offset-6 {
+    margin-left: 50%;
+  }
+  .col-lg-offset-5 {
+    margin-left: 41.66666667%;
+  }
+  .col-lg-offset-4 {
+    margin-left: 33.33333333%;
+  }
+  .col-lg-offset-3 {
+    margin-left: 25%;
+  }
+  .col-lg-offset-2 {
+    margin-left: 16.66666667%;
+  }
+  .col-lg-offset-1 {
+    margin-left: 8.33333333%;
+  }
+  .col-lg-offset-0 {
+    margin-left: 0%;
+  }
+}
+table {
+  background-color: transparent;
+}
+caption {
+  padding-top: 8px;
+  padding-bottom: 8px;
+  color: #777777;
+  text-align: left;
+}
+th {
+  text-align: left;
+}
+.table {
+  width: 100%;
+  max-width: 100%;
+  margin-bottom: 18px;
+}
+.table > thead > tr > th,
+.table > tbody > tr > th,
+.table > tfoot > tr > th,
+.table > thead > tr > td,
+.table > tbody > tr > td,
+.table > tfoot > tr > td {
+  padding: 8px;
+  line-height: 1.42857143;
+  vertical-align: top;
+  border-top: 1px solid #ddd;
+}
+.table > thead > tr > th {
+  vertical-align: bottom;
+  border-bottom: 2px solid #ddd;
+}
+.table > caption + thead > tr:first-child > th,
+.table > colgroup + thead > tr:first-child > th,
+.table > thead:first-child > tr:first-child > th,
+.table > caption + thead > tr:first-child > td,
+.table > colgroup + thead > tr:first-child > td,
+.table > thead:first-child > tr:first-child > td {
+  border-top: 0;
+}
+.table > tbody + tbody {
+  border-top: 2px solid #ddd;
+}
+.table .table {
+  background-color: #fff;
+}
+.table-condensed > thead > tr > th,
+.table-condensed > tbody > tr > th,
+.table-condensed > tfoot > tr > th,
+.table-condensed > thead > tr > td,
+.table-condensed > tbody > tr > td,
+.table-condensed > tfoot > tr > td {
+  padding: 5px;
+}
+.table-bordered {
+  border: 1px solid #ddd;
+}
+.table-bordered > thead > tr > th,
+.table-bordered > tbody > tr > th,
+.table-bordered > tfoot > tr > th,
+.table-bordered > thead > tr > td,
+.table-bordered > tbody > tr > td,
+.table-bordered > tfoot > tr > td {
+  border: 1px solid #ddd;
+}
+.table-bordered > thead > tr > th,
+.table-bordered > thead > tr > td {
+  border-bottom-width: 2px;
+}
+.table-striped > tbody > tr:nth-of-type(odd) {
+  background-color: #f9f9f9;
+}
+.table-hover > tbody > tr:hover {
+  background-color: #f5f5f5;
+}
+table col[class*="col-"] {
+  position: static;
+  float: none;
+  display: table-column;
+}
+table td[class*="col-"],
+table th[class*="col-"] {
+  position: static;
+  float: none;
+  display: table-cell;
+}
+.table > thead > tr > td.active,
+.table > tbody > tr > td.active,
+.table > tfoot > tr > td.active,
+.table > thead > tr > th.active,
+.table > tbody > tr > th.active,
+.table > tfoot > tr > th.active,
+.table > thead > tr.active > td,
+.table > tbody > tr.active > td,
+.table > tfoot > tr.active > td,
+.table > thead > tr.active > th,
+.table > tbody > tr.active > th,
+.table > tfoot > tr.active > th {
+  background-color: #f5f5f5;
+}
+.table-hover > tbody > tr > td.active:hover,
+.table-hover > tbody > tr > th.active:hover,
+.table-hover > tbody > tr.active:hover > td,
+.table-hover > tbody > tr:hover > .active,
+.table-hover > tbody > tr.active:hover > th {
+  background-color: #e8e8e8;
+}
+.table > thead > tr > td.success,
+.table > tbody > tr > td.success,
+.table > tfoot > tr > td.success,
+.table > thead > tr > th.success,
+.table > tbody > tr > th.success,
+.table > tfoot > tr > th.success,
+.table > thead > tr.success > td,
+.table > tbody > tr.success > td,
+.table > tfoot > tr.success > td,
+.table > thead > tr.success > th,
+.table > tbody > tr.success > th,
+.table > tfoot > tr.success > th {
+  background-color: #dff0d8;
+}
+.table-hover > tbody > tr > td.success:hover,
+.table-hover > tbody > tr > th.success:hover,
+.table-hover > tbody > tr.success:hover > td,
+.table-hover > tbody > tr:hover > .success,
+.table-hover > tbody > tr.success:hover > th {
+  background-color: #d0e9c6;
+}
+.table > thead > tr > td.info,
+.table > tbody > tr > td.info,
+.table > tfoot > tr > td.info,
+.table > thead > tr > th.info,
+.table > tbody > tr > th.info,
+.table > tfoot > tr > th.info,
+.table > thead > tr.info > td,
+.table > tbody > tr.info > td,
+.table > tfoot > tr.info > td,
+.table > thead > tr.info > th,
+.table > tbody > tr.info > th,
+.table > tfoot > tr.info > th {
+  background-color: #d9edf7;
+}
+.table-hover > tbody > tr > td.info:hover,
+.table-hover > tbody > tr > th.info:hover,
+.table-hover > tbody > tr.info:hover > td,
+.table-hover > tbody > tr:hover > .info,
+.table-hover > tbody > tr.info:hover > th {
+  background-color: #c4e3f3;
+}
+.table > thead > tr > td.warning,
+.table > tbody > tr > td.warning,
+.table > tfoot > tr > td.warning,
+.table > thead > tr > th.warning,
+.table > tbody > tr > th.warning,
+.table > tfoot > tr > th.warning,
+.table > thead > tr.warning > td,
+.table > tbody > tr.warning > td,
+.table > tfoot > tr.warning > td,
+.table > thead > tr.warning > th,
+.table > tbody > tr.warning > th,
+.table > tfoot > tr.warning > th {
+  background-color: #fcf8e3;
+}
+.table-hover > tbody > tr > td.warning:hover,
+.table-hover > tbody > tr > th.warning:hover,
+.table-hover > tbody > tr.warning:hover > td,
+.table-hover > tbody > tr:hover > .warning,
+.table-hover > tbody > tr.warning:hover > th {
+  background-color: #faf2cc;
+}
+.table > thead > tr > td.danger,
+.table > tbody > tr > td.danger,
+.table > tfoot > tr > td.danger,
+.table > thead > tr > th.danger,
+.table > tbody > tr > th.danger,
+.table > tfoot > tr > th.danger,
+.table > thead > tr.danger > td,
+.table > tbody > tr.danger > td,
+.table > tfoot > tr.danger > td,
+.table > thead > tr.danger > th,
+.table > tbody > tr.danger > th,
+.table > tfoot > tr.danger > th {
+  background-color: #f2dede;
+}
+.table-hover > tbody > tr > td.danger:hover,
+.table-hover > tbody > tr > th.danger:hover,
+.table-hover > tbody > tr.danger:hover > td,
+.table-hover > tbody > tr:hover > .danger,
+.table-hover > tbody > tr.danger:hover > th {
+  background-color: #ebcccc;
+}
+.table-responsive {
+  overflow-x: auto;
+  min-height: 0.01%;
+}
+@media screen and (max-width: 767px) {
+  .table-responsive {
+    width: 100%;
+    margin-bottom: 13.5px;
+    overflow-y: hidden;
+    -ms-overflow-style: -ms-autohiding-scrollbar;
+    border: 1px solid #ddd;
+  }
+  .table-responsive > .table {
+    margin-bottom: 0;
+  }
+  .table-responsive > .table > thead > tr > th,
+  .table-responsive > .table > tbody > tr > th,
+  .table-responsive > .table > tfoot > tr > th,
+  .table-responsive > .table > thead > tr > td,
+  .table-responsive > .table > tbody > tr > td,
+  .table-responsive > .table > tfoot > tr > td {
+    white-space: nowrap;
+  }
+  .table-responsive > .table-bordered {
+    border: 0;
+  }
+  .table-responsive > .table-bordered > thead > tr > th:first-child,
+  .table-responsive > .table-bordered > tbody > tr > th:first-child,
+  .table-responsive > .table-bordered > tfoot > tr > th:first-child,
+  .table-responsive > .table-bordered > thead > tr > td:first-child,
+  .table-responsive > .table-bordered > tbody > tr > td:first-child,
+  .table-responsive > .table-bordered > tfoot > tr > td:first-child {
+    border-left: 0;
+  }
+  .table-responsive > .table-bordered > thead > tr > th:last-child,
+  .table-responsive > .table-bordered > tbody > tr > th:last-child,
+  .table-responsive > .table-bordered > tfoot > tr > th:last-child,
+  .table-responsive > .table-bordered > thead > tr > td:last-child,
+  .table-responsive > .table-bordered > tbody > tr > td:last-child,
+  .table-responsive > .table-bordered > tfoot > tr > td:last-child {
+    border-right: 0;
+  }
+  .table-responsive > .table-bordered > tbody > tr:last-child > th,
+  .table-responsive > .table-bordered > tfoot > tr:last-child > th,
+  .table-responsive > .table-bordered > tbody > tr:last-child > td,
+  .table-responsive > .table-bordered > tfoot > tr:last-child > td {
+    border-bottom: 0;
+  }
+}
+fieldset {
+  padding: 0;
+  margin: 0;
+  border: 0;
+  min-width: 0;
+}
+legend {
+  display: block;
+  width: 100%;
+  padding: 0;
+  margin-bottom: 18px;
+  font-size: 19.5px;
+  line-height: inherit;
+  color: #333333;
+  border: 0;
+  border-bottom: 1px solid #e5e5e5;
+}
+label {
+  display: inline-block;
+  max-width: 100%;
+  margin-bottom: 5px;
+  font-weight: bold;
+}
+input[type="search"] {
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+}
+input[type="radio"],
+input[type="checkbox"] {
+  margin: 4px 0 0;
+  margin-top: 1px \9;
+  line-height: normal;
+}
+input[type="file"] {
+  display: block;
+}
+input[type="range"] {
+  display: block;
+  width: 100%;
+}
+select[multiple],
+select[size] {
+  height: auto;
+}
+input[type="file"]:focus,
+input[type="radio"]:focus,
+input[type="checkbox"]:focus {
+  outline: 5px auto -webkit-focus-ring-color;
+  outline-offset: -2px;
+}
+output {
+  display: block;
+  padding-top: 7px;
+  font-size: 13px;
+  line-height: 1.42857143;
+  color: #555555;
+}
+.form-control {
+  display: block;
+  width: 100%;
+  height: 32px;
+  padding: 6px 12px;
+  font-size: 13px;
+  line-height: 1.42857143;
+  color: #555555;
+  background-color: #fff;
+  background-image: none;
+  border: 1px solid #ccc;
+  border-radius: 2px;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
+  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
+  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
+}
+.form-control:focus {
+  border-color: #66afe9;
+  outline: 0;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
+  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
+}
+.form-control::-moz-placeholder {
+  color: #999;
+  opacity: 1;
+}
+.form-control:-ms-input-placeholder {
+  color: #999;
+}
+.form-control::-webkit-input-placeholder {
+  color: #999;
+}
+.form-control::-ms-expand {
+  border: 0;
+  background-color: transparent;
+}
+.form-control[disabled],
+.form-control[readonly],
+fieldset[disabled] .form-control {
+  background-color: #eeeeee;
+  opacity: 1;
+}
+.form-control[disabled],
+fieldset[disabled] .form-control {
+  cursor: not-allowed;
+}
+textarea.form-control {
+  height: auto;
+}
+input[type="search"] {
+  -webkit-appearance: none;
+}
+@media screen and (-webkit-min-device-pixel-ratio: 0) {
+  input[type="date"].form-control,
+  input[type="time"].form-control,
+  input[type="datetime-local"].form-control,
+  input[type="month"].form-control {
+    line-height: 32px;
+  }
+  input[type="date"].input-sm,
+  input[type="time"].input-sm,
+  input[type="datetime-local"].input-sm,
+  input[type="month"].input-sm,
+  .input-group-sm input[type="date"],
+  .input-group-sm input[type="time"],
+  .input-group-sm input[type="datetime-local"],
+  .input-group-sm input[type="month"] {
+    line-height: 30px;
+  }
+  input[type="date"].input-lg,
+  input[type="time"].input-lg,
+  input[type="datetime-local"].input-lg,
+  input[type="month"].input-lg,
+  .input-group-lg input[type="date"],
+  .input-group-lg input[type="time"],
+  .input-group-lg input[type="datetime-local"],
+  .input-group-lg input[type="month"] {
+    line-height: 45px;
+  }
+}
+.form-group {
+  margin-bottom: 15px;
+}
+.radio,
+.checkbox {
+  position: relative;
+  display: block;
+  margin-top: 10px;
+  margin-bottom: 10px;
+}
+.radio label,
+.checkbox label {
+  min-height: 18px;
+  padding-left: 20px;
+  margin-bottom: 0;
+  font-weight: normal;
+  cursor: pointer;
+}
+.radio input[type="radio"],
+.radio-inline input[type="radio"],
+.checkbox input[type="checkbox"],
+.checkbox-inline input[type="checkbox"] {
+  position: absolute;
+  margin-left: -20px;
+  margin-top: 4px \9;
+}
+.radio + .radio,
+.checkbox + .checkbox {
+  margin-top: -5px;
+}
+.radio-inline,
+.checkbox-inline {
+  position: relative;
+  display: inline-block;
+  padding-left: 20px;
+  margin-bottom: 0;
+  vertical-align: middle;
+  font-weight: normal;
+  cursor: pointer;
+}
+.radio-inline + .radio-inline,
+.checkbox-inline + .checkbox-inline {
+  margin-top: 0;
+  margin-left: 10px;
+}
+input[type="radio"][disabled],
+input[type="checkbox"][disabled],
+input[type="radio"].disabled,
+input[type="checkbox"].disabled,
+fieldset[disabled] input[type="radio"],
+fieldset[disabled] input[type="checkbox"] {
+  cursor: not-allowed;
+}
+.radio-inline.disabled,
+.checkbox-inline.disabled,
+fieldset[disabled] .radio-inline,
+fieldset[disabled] .checkbox-inline {
+  cursor: not-allowed;
+}
+.radio.disabled label,
+.checkbox.disabled label,
+fieldset[disabled] .radio label,
+fieldset[disabled] .checkbox label {
+  cursor: not-allowed;
+}
+.form-control-static {
+  padding-top: 7px;
+  padding-bottom: 7px;
+  margin-bottom: 0;
+  min-height: 31px;
+}
+.form-control-static.input-lg,
+.form-control-static.input-sm {
+  padding-left: 0;
+  padding-right: 0;
+}
+.input-sm {
+  height: 30px;
+  padding: 5px 10px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 1px;
+}
+select.input-sm {
+  height: 30px;
+  line-height: 30px;
+}
+textarea.input-sm,
+select[multiple].input-sm {
+  height: auto;
+}
+.form-group-sm .form-control {
+  height: 30px;
+  padding: 5px 10px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 1px;
+}
+.form-group-sm select.form-control {
+  height: 30px;
+  line-height: 30px;
+}
+.form-group-sm textarea.form-control,
+.form-group-sm select[multiple].form-control {
+  height: auto;
+}
+.form-group-sm .form-control-static {
+  height: 30px;
+  min-height: 30px;
+  padding: 6px 10px;
+  font-size: 12px;
+  line-height: 1.5;
+}
+.input-lg {
+  height: 45px;
+  padding: 10px 16px;
+  font-size: 17px;
+  line-height: 1.3333333;
+  border-radius: 3px;
+}
+select.input-lg {
+  height: 45px;
+  line-height: 45px;
+}
+textarea.input-lg,
+select[multiple].input-lg {
+  height: auto;
+}
+.form-group-lg .form-control {
+  height: 45px;
+  padding: 10px 16px;
+  font-size: 17px;
+  line-height: 1.3333333;
+  border-radius: 3px;
+}
+.form-group-lg select.form-control {
+  height: 45px;
+  line-height: 45px;
+}
+.form-group-lg textarea.form-control,
+.form-group-lg select[multiple].form-control {
+  height: auto;
+}
+.form-group-lg .form-control-static {
+  height: 45px;
+  min-height: 35px;
+  padding: 11px 16px;
+  font-size: 17px;
+  line-height: 1.3333333;
+}
+.has-feedback {
+  position: relative;
+}
+.has-feedback .form-control {
+  padding-right: 40px;
+}
+.form-control-feedback {
+  position: absolute;
+  top: 0;
+  right: 0;
+  z-index: 2;
+  display: block;
+  width: 32px;
+  height: 32px;
+  line-height: 32px;
+  text-align: center;
+  pointer-events: none;
+}
+.input-lg + .form-control-feedback,
+.input-group-lg + .form-control-feedback,
+.form-group-lg .form-control + .form-control-feedback {
+  width: 45px;
+  height: 45px;
+  line-height: 45px;
+}
+.input-sm + .form-control-feedback,
+.input-group-sm + .form-control-feedback,
+.form-group-sm .form-control + .form-control-feedback {
+  width: 30px;
+  height: 30px;
+  line-height: 30px;
+}
+.has-success .help-block,
+.has-success .control-label,
+.has-success .radio,
+.has-success .checkbox,
+.has-success .radio-inline,
+.has-success .checkbox-inline,
+.has-success.radio label,
+.has-success.checkbox label,
+.has-success.radio-inline label,
+.has-success.checkbox-inline label {
+  color: #3c763d;
+}
+.has-success .form-control {
+  border-color: #3c763d;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+}
+.has-success .form-control:focus {
+  border-color: #2b542c;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
+  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
+}
+.has-success .input-group-addon {
+  color: #3c763d;
+  border-color: #3c763d;
+  background-color: #dff0d8;
+}
+.has-success .form-control-feedback {
+  color: #3c763d;
+}
+.has-warning .help-block,
+.has-warning .control-label,
+.has-warning .radio,
+.has-warning .checkbox,
+.has-warning .radio-inline,
+.has-warning .checkbox-inline,
+.has-warning.radio label,
+.has-warning.checkbox label,
+.has-warning.radio-inline label,
+.has-warning.checkbox-inline label {
+  color: #8a6d3b;
+}
+.has-warning .form-control {
+  border-color: #8a6d3b;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+}
+.has-warning .form-control:focus {
+  border-color: #66512c;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
+  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
+}
+.has-warning .input-group-addon {
+  color: #8a6d3b;
+  border-color: #8a6d3b;
+  background-color: #fcf8e3;
+}
+.has-warning .form-control-feedback {
+  color: #8a6d3b;
+}
+.has-error .help-block,
+.has-error .control-label,
+.has-error .radio,
+.has-error .checkbox,
+.has-error .radio-inline,
+.has-error .checkbox-inline,
+.has-error.radio label,
+.has-error.checkbox label,
+.has-error.radio-inline label,
+.has-error.checkbox-inline label {
+  color: #a94442;
+}
+.has-error .form-control {
+  border-color: #a94442;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+}
+.has-error .form-control:focus {
+  border-color: #843534;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
+  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
+}
+.has-error .input-group-addon {
+  color: #a94442;
+  border-color: #a94442;
+  background-color: #f2dede;
+}
+.has-error .form-control-feedback {
+  color: #a94442;
+}
+.has-feedback label ~ .form-control-feedback {
+  top: 23px;
+}
+.has-feedback label.sr-only ~ .form-control-feedback {
+  top: 0;
+}
+.help-block {
+  display: block;
+  margin-top: 5px;
+  margin-bottom: 10px;
+  color: #404040;
+}
+@media (min-width: 768px) {
+  .form-inline .form-group {
+    display: inline-block;
+    margin-bottom: 0;
+    vertical-align: middle;
+  }
+  .form-inline .form-control {
+    display: inline-block;
+    width: auto;
+    vertical-align: middle;
+  }
+  .form-inline .form-control-static {
+    display: inline-block;
+  }
+  .form-inline .input-group {
+    display: inline-table;
+    vertical-align: middle;
+  }
+  .form-inline .input-group .input-group-addon,
+  .form-inline .input-group .input-group-btn,
+  .form-inline .input-group .form-control {
+    width: auto;
+  }
+  .form-inline .input-group > .form-control {
+    width: 100%;
+  }
+  .form-inline .control-label {
+    margin-bottom: 0;
+    vertical-align: middle;
+  }
+  .form-inline .radio,
+  .form-inline .checkbox {
+    display: inline-block;
+    margin-top: 0;
+    margin-bottom: 0;
+    vertical-align: middle;
+  }
+  .form-inline .radio label,
+  .form-inline .checkbox label {
+    padding-left: 0;
+  }
+  .form-inline .radio input[type="radio"],
+  .form-inline .checkbox input[type="checkbox"] {
+    position: relative;
+    margin-left: 0;
+  }
+  .form-inline .has-feedback .form-control-feedback {
+    top: 0;
+  }
+}
+.form-horizontal .radio,
+.form-horizontal .checkbox,
+.form-horizontal .radio-inline,
+.form-horizontal .checkbox-inline {
+  margin-top: 0;
+  margin-bottom: 0;
+  padding-top: 7px;
+}
+.form-horizontal .radio,
+.form-horizontal .checkbox {
+  min-height: 25px;
+}
+.form-horizontal .form-group {
+  margin-left: 0px;
+  margin-right: 0px;
+}
+@media (min-width: 768px) {
+  .form-horizontal .control-label {
+    text-align: right;
+    margin-bottom: 0;
+    padding-top: 7px;
+  }
+}
+.form-horizontal .has-feedback .form-control-feedback {
+  right: 0px;
+}
+@media (min-width: 768px) {
+  .form-horizontal .form-group-lg .control-label {
+    padding-top: 11px;
+    font-size: 17px;
+  }
+}
+@media (min-width: 768px) {
+  .form-horizontal .form-group-sm .control-label {
+    padding-top: 6px;
+    font-size: 12px;
+  }
+}
+.btn {
+  display: inline-block;
+  margin-bottom: 0;
+  font-weight: normal;
+  text-align: center;
+  vertical-align: middle;
+  touch-action: manipulation;
+  cursor: pointer;
+  background-image: none;
+  border: 1px solid transparent;
+  white-space: nowrap;
+  padding: 6px 12px;
+  font-size: 13px;
+  line-height: 1.42857143;
+  border-radius: 2px;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+.btn:focus,
+.btn:active:focus,
+.btn.active:focus,
+.btn.focus,
+.btn:active.focus,
+.btn.active.focus {
+  outline: 5px auto -webkit-focus-ring-color;
+  outline-offset: -2px;
+}
+.btn:hover,
+.btn:focus,
+.btn.focus {
+  color: #333;
+  text-decoration: none;
+}
+.btn:active,
+.btn.active {
+  outline: 0;
+  background-image: none;
+  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
+  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
+}
+.btn.disabled,
+.btn[disabled],
+fieldset[disabled] .btn {
+  cursor: not-allowed;
+  opacity: 0.65;
+  filter: alpha(opacity=65);
+  -webkit-box-shadow: none;
+  box-shadow: none;
+}
+a.btn.disabled,
+fieldset[disabled] a.btn {
+  pointer-events: none;
+}
+.btn-default {
+  color: #333;
+  background-color: #fff;
+  border-color: #ccc;
+}
+.btn-default:focus,
+.btn-default.focus {
+  color: #333;
+  background-color: #e6e6e6;
+  border-color: #8c8c8c;
+}
+.btn-default:hover {
+  color: #333;
+  background-color: #e6e6e6;
+  border-color: #adadad;
+}
+.btn-default:active,
+.btn-default.active,
+.open > .dropdown-toggle.btn-default {
+  color: #333;
+  background-color: #e6e6e6;
+  border-color: #adadad;
+}
+.btn-default:active:hover,
+.btn-default.active:hover,
+.open > .dropdown-toggle.btn-default:hover,
+.btn-default:active:focus,
+.btn-default.active:focus,
+.open > .dropdown-toggle.btn-default:focus,
+.btn-default:active.focus,
+.btn-default.active.focus,
+.open > .dropdown-toggle.btn-default.focus {
+  color: #333;
+  background-color: #d4d4d4;
+  border-color: #8c8c8c;
+}
+.btn-default:active,
+.btn-default.active,
+.open > .dropdown-toggle.btn-default {
+  background-image: none;
+}
+.btn-default.disabled:hover,
+.btn-default[disabled]:hover,
+fieldset[disabled] .btn-default:hover,
+.btn-default.disabled:focus,
+.btn-default[disabled]:focus,
+fieldset[disabled] .btn-default:focus,
+.btn-default.disabled.focus,
+.btn-default[disabled].focus,
+fieldset[disabled] .btn-default.focus {
+  background-color: #fff;
+  border-color: #ccc;
+}
+.btn-default .badge {
+  color: #fff;
+  background-color: #333;
+}
+.btn-primary {
+  color: #fff;
+  background-color: #337ab7;
+  border-color: #2e6da4;
+}
+.btn-primary:focus,
+.btn-primary.focus {
+  color: #fff;
+  background-color: #286090;
+  border-color: #122b40;
+}
+.btn-primary:hover {
+  color: #fff;
+  background-color: #286090;
+  border-color: #204d74;
+}
+.btn-primary:active,
+.btn-primary.active,
+.open > .dropdown-toggle.btn-primary {
+  color: #fff;
+  background-color: #286090;
+  border-color: #204d74;
+}
+.btn-primary:active:hover,
+.btn-primary.active:hover,
+.open > .dropdown-toggle.btn-primary:hover,
+.btn-primary:active:focus,
+.btn-primary.active:focus,
+.open > .dropdown-toggle.btn-primary:focus,
+.btn-primary:active.focus,
+.btn-primary.active.focus,
+.open > .dropdown-toggle.btn-primary.focus {
+  color: #fff;
+  background-color: #204d74;
+  border-color: #122b40;
+}
+.btn-primary:active,
+.btn-primary.active,
+.open > .dropdown-toggle.btn-primary {
+  background-image: none;
+}
+.btn-primary.disabled:hover,
+.btn-primary[disabled]:hover,
+fieldset[disabled] .btn-primary:hover,
+.btn-primary.disabled:focus,
+.btn-primary[disabled]:focus,
+fieldset[disabled] .btn-primary:focus,
+.btn-primary.disabled.focus,
+.btn-primary[disabled].focus,
+fieldset[disabled] .btn-primary.focus {
+  background-color: #337ab7;
+  border-color: #2e6da4;
+}
+.btn-primary .badge {
+  color: #337ab7;
+  background-color: #fff;
+}
+.btn-success {
+  color: #fff;
+  background-color: #5cb85c;
+  border-color: #4cae4c;
+}
+.btn-success:focus,
+.btn-success.focus {
+  color: #fff;
+  background-color: #449d44;
+  border-color: #255625;
+}
+.btn-success:hover {
+  color: #fff;
+  background-color: #449d44;
+  border-color: #398439;
+}
+.btn-success:active,
+.btn-success.active,
+.open > .dropdown-toggle.btn-success {
+  color: #fff;
+  background-color: #449d44;
+  border-color: #398439;
+}
+.btn-success:active:hover,
+.btn-success.active:hover,
+.open > .dropdown-toggle.btn-success:hover,
+.btn-success:active:focus,
+.btn-success.active:focus,
+.open > .dropdown-toggle.btn-success:focus,
+.btn-success:active.focus,
+.btn-success.active.focus,
+.open > .dropdown-toggle.btn-success.focus {
+  color: #fff;
+  background-color: #398439;
+  border-color: #255625;
+}
+.btn-success:active,
+.btn-success.active,
+.open > .dropdown-toggle.btn-success {
+  background-image: none;
+}
+.btn-success.disabled:hover,
+.btn-success[disabled]:hover,
+fieldset[disabled] .btn-success:hover,
+.btn-success.disabled:focus,
+.btn-success[disabled]:focus,
+fieldset[disabled] .btn-success:focus,
+.btn-success.disabled.focus,
+.btn-success[disabled].focus,
+fieldset[disabled] .btn-success.focus {
+  background-color: #5cb85c;
+  border-color: #4cae4c;
+}
+.btn-success .badge {
+  color: #5cb85c;
+  background-color: #fff;
+}
+.btn-info {
+  color: #fff;
+  background-color: #5bc0de;
+  border-color: #46b8da;
+}
+.btn-info:focus,
+.btn-info.focus {
+  color: #fff;
+  background-color: #31b0d5;
+  border-color: #1b6d85;
+}
+.btn-info:hover {
+  color: #fff;
+  background-color: #31b0d5;
+  border-color: #269abc;
+}
+.btn-info:active,
+.btn-info.active,
+.open > .dropdown-toggle.btn-info {
+  color: #fff;
+  background-color: #31b0d5;
+  border-color: #269abc;
+}
+.btn-info:active:hover,
+.btn-info.active:hover,
+.open > .dropdown-toggle.btn-info:hover,
+.btn-info:active:focus,
+.btn-info.active:focus,
+.open > .dropdown-toggle.btn-info:focus,
+.btn-info:active.focus,
+.btn-info.active.focus,
+.open > .dropdown-toggle.btn-info.focus {
+  color: #fff;
+  background-color: #269abc;
+  border-color: #1b6d85;
+}
+.btn-info:active,
+.btn-info.active,
+.open > .dropdown-toggle.btn-info {
+  background-image: none;
+}
+.btn-info.disabled:hover,
+.btn-info[disabled]:hover,
+fieldset[disabled] .btn-info:hover,
+.btn-info.disabled:focus,
+.btn-info[disabled]:focus,
+fieldset[disabled] .btn-info:focus,
+.btn-info.disabled.focus,
+.btn-info[disabled].focus,
+fieldset[disabled] .btn-info.focus {
+  background-color: #5bc0de;
+  border-color: #46b8da;
+}
+.btn-info .badge {
+  color: #5bc0de;
+  background-color: #fff;
+}
+.btn-warning {
+  color: #fff;
+  background-color: #f0ad4e;
+  border-color: #eea236;
+}
+.btn-warning:focus,
+.btn-warning.focus {
+  color: #fff;
+  background-color: #ec971f;
+  border-color: #985f0d;
+}
+.btn-warning:hover {
+  color: #fff;
+  background-color: #ec971f;
+  border-color: #d58512;
+}
+.btn-warning:active,
+.btn-warning.active,
+.open > .dropdown-toggle.btn-warning {
+  color: #fff;
+  background-color: #ec971f;
+  border-color: #d58512;
+}
+.btn-warning:active:hover,
+.btn-warning.active:hover,
+.open > .dropdown-toggle.btn-warning:hover,
+.btn-warning:active:focus,
+.btn-warning.active:focus,
+.open > .dropdown-toggle.btn-warning:focus,
+.btn-warning:active.focus,
+.btn-warning.active.focus,
+.open > .dropdown-toggle.btn-warning.focus {
+  color: #fff;
+  background-color: #d58512;
+  border-color: #985f0d;
+}
+.btn-warning:active,
+.btn-warning.active,
+.open > .dropdown-toggle.btn-warning {
+  background-image: none;
+}
+.btn-warning.disabled:hover,
+.btn-warning[disabled]:hover,
+fieldset[disabled] .btn-warning:hover,
+.btn-warning.disabled:focus,
+.btn-warning[disabled]:focus,
+fieldset[disabled] .btn-warning:focus,
+.btn-warning.disabled.focus,
+.btn-warning[disabled].focus,
+fieldset[disabled] .btn-warning.focus {
+  background-color: #f0ad4e;
+  border-color: #eea236;
+}
+.btn-warning .badge {
+  color: #f0ad4e;
+  background-color: #fff;
+}
+.btn-danger {
+  color: #fff;
+  background-color: #d9534f;
+  border-color: #d43f3a;
+}
+.btn-danger:focus,
+.btn-danger.focus {
+  color: #fff;
+  background-color: #c9302c;
+  border-color: #761c19;
+}
+.btn-danger:hover {
+  color: #fff;
+  background-color: #c9302c;
+  border-color: #ac2925;
+}
+.btn-danger:active,
+.btn-danger.active,
+.open > .dropdown-toggle.btn-danger {
+  color: #fff;
+  background-color: #c9302c;
+  border-color: #ac2925;
+}
+.btn-danger:active:hover,
+.btn-danger.active:hover,
+.open > .dropdown-toggle.btn-danger:hover,
+.btn-danger:active:focus,
+.btn-danger.active:focus,
+.open > .dropdown-toggle.btn-danger:focus,
+.btn-danger:active.focus,
+.btn-danger.active.focus,
+.open > .dropdown-toggle.btn-danger.focus {
+  color: #fff;
+  background-color: #ac2925;
+  border-color: #761c19;
+}
+.btn-danger:active,
+.btn-danger.active,
+.open > .dropdown-toggle.btn-danger {
+  background-image: none;
+}
+.btn-danger.disabled:hover,
+.btn-danger[disabled]:hover,
+fieldset[disabled] .btn-danger:hover,
+.btn-danger.disabled:focus,
+.btn-danger[disabled]:focus,
+fieldset[disabled] .btn-danger:focus,
+.btn-danger.disabled.focus,
+.btn-danger[disabled].focus,
+fieldset[disabled] .btn-danger.focus {
+  background-color: #d9534f;
+  border-color: #d43f3a;
+}
+.btn-danger .badge {
+  color: #d9534f;
+  background-color: #fff;
+}
+.btn-link {
+  color: #337ab7;
+  font-weight: normal;
+  border-radius: 0;
+}
+.btn-link,
+.btn-link:active,
+.btn-link.active,
+.btn-link[disabled],
+fieldset[disabled] .btn-link {
+  background-color: transparent;
+  -webkit-box-shadow: none;
+  box-shadow: none;
+}
+.btn-link,
+.btn-link:hover,
+.btn-link:focus,
+.btn-link:active {
+  border-color: transparent;
+}
+.btn-link:hover,
+.btn-link:focus {
+  color: #23527c;
+  text-decoration: underline;
+  background-color: transparent;
+}
+.btn-link[disabled]:hover,
+fieldset[disabled] .btn-link:hover,
+.btn-link[disabled]:focus,
+fieldset[disabled] .btn-link:focus {
+  color: #777777;
+  text-decoration: none;
+}
+.btn-lg,
+.btn-group-lg > .btn {
+  padding: 10px 16px;
+  font-size: 17px;
+  line-height: 1.3333333;
+  border-radius: 3px;
+}
+.btn-sm,
+.btn-group-sm > .btn {
+  padding: 5px 10px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 1px;
+}
+.btn-xs,
+.btn-group-xs > .btn {
+  padding: 1px 5px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 1px;
+}
+.btn-block {
+  display: block;
+  width: 100%;
+}
+.btn-block + .btn-block {
+  margin-top: 5px;
+}
+input[type="submit"].btn-block,
+input[type="reset"].btn-block,
+input[type="button"].btn-block {
+  width: 100%;
+}
+.fade {
+  opacity: 0;
+  -webkit-transition: opacity 0.15s linear;
+  -o-transition: opacity 0.15s linear;
+  transition: opacity 0.15s linear;
+}
+.fade.in {
+  opacity: 1;
+}
+.collapse {
+  display: none;
+}
+.collapse.in {
+  display: block;
+}
+tr.collapse.in {
+  display: table-row;
+}
+tbody.collapse.in {
+  display: table-row-group;
+}
+.collapsing {
+  position: relative;
+  height: 0;
+  overflow: hidden;
+  -webkit-transition-property: height, visibility;
+  transition-property: height, visibility;
+  -webkit-transition-duration: 0.35s;
+  transition-duration: 0.35s;
+  -webkit-transition-timing-function: ease;
+  transition-timing-function: ease;
+}
+.caret {
+  display: inline-block;
+  width: 0;
+  height: 0;
+  margin-left: 2px;
+  vertical-align: middle;
+  border-top: 4px dashed;
+  border-top: 4px solid \9;
+  border-right: 4px solid transparent;
+  border-left: 4px solid transparent;
+}
+.dropup,
+.dropdown {
+  position: relative;
+}
+.dropdown-toggle:focus {
+  outline: 0;
+}
+.dropdown-menu {
+  position: absolute;
+  top: 100%;
+  left: 0;
+  z-index: 1000;
+  display: none;
+  float: left;
+  min-width: 160px;
+  padding: 5px 0;
+  margin: 2px 0 0;
+  list-style: none;
+  font-size: 13px;
+  text-align: left;
+  background-color: #fff;
+  border: 1px solid #ccc;
+  border: 1px solid rgba(0, 0, 0, 0.15);
+  border-radius: 2px;
+  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
+  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
+  background-clip: padding-box;
+}
+.dropdown-menu.pull-right {
+  right: 0;
+  left: auto;
+}
+.dropdown-menu .divider {
+  height: 1px;
+  margin: 8px 0;
+  overflow: hidden;
+  background-color: #e5e5e5;
+}
+.dropdown-menu > li > a {
+  display: block;
+  padding: 3px 20px;
+  clear: both;
+  font-weight: normal;
+  line-height: 1.42857143;
+  color: #333333;
+  white-space: nowrap;
+}
+.dropdown-menu > li > a:hover,
+.dropdown-menu > li > a:focus {
+  text-decoration: none;
+  color: #262626;
+  background-color: #f5f5f5;
+}
+.dropdown-menu > .active > a,
+.dropdown-menu > .active > a:hover,
+.dropdown-menu > .active > a:focus {
+  color: #fff;
+  text-decoration: none;
+  outline: 0;
+  background-color: #337ab7;
+}
+.dropdown-menu > .disabled > a,
+.dropdown-menu > .disabled > a:hover,
+.dropdown-menu > .disabled > a:focus {
+  color: #777777;
+}
+.dropdown-menu > .disabled > a:hover,
+.dropdown-menu > .disabled > a:focus {
+  text-decoration: none;
+  background-color: transparent;
+  background-image: none;
+  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
+  cursor: not-allowed;
+}
+.open > .dropdown-menu {
+  display: block;
+}
+.open > a {
+  outline: 0;
+}
+.dropdown-menu-right {
+  left: auto;
+  right: 0;
+}
+.dropdown-menu-left {
+  left: 0;
+  right: auto;
+}
+.dropdown-header {
+  display: block;
+  padding: 3px 20px;
+  font-size: 12px;
+  line-height: 1.42857143;
+  color: #777777;
+  white-space: nowrap;
+}
+.dropdown-backdrop {
+  position: fixed;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  top: 0;
+  z-index: 990;
+}
+.pull-right > .dropdown-menu {
+  right: 0;
+  left: auto;
+}
+.dropup .caret,
+.navbar-fixed-bottom .dropdown .caret {
+  border-top: 0;
+  border-bottom: 4px dashed;
+  border-bottom: 4px solid \9;
+  content: "";
+}
+.dropup .dropdown-menu,
+.navbar-fixed-bottom .dropdown .dropdown-menu {
+  top: auto;
+  bottom: 100%;
+  margin-bottom: 2px;
+}
+@media (min-width: 541px) {
+  .navbar-right .dropdown-menu {
+    left: auto;
+    right: 0;
+  }
+  .navbar-right .dropdown-menu-left {
+    left: 0;
+    right: auto;
+  }
+}
+.btn-group,
+.btn-group-vertical {
+  position: relative;
+  display: inline-block;
+  vertical-align: middle;
+}
+.btn-group > .btn,
+.btn-group-vertical > .btn {
+  position: relative;
+  float: left;
+}
+.btn-group > .btn:hover,
+.btn-group-vertical > .btn:hover,
+.btn-group > .btn:focus,
+.btn-group-vertical > .btn:focus,
+.btn-group > .btn:active,
+.btn-group-vertical > .btn:active,
+.btn-group > .btn.active,
+.btn-group-vertical > .btn.active {
+  z-index: 2;
+}
+.btn-group .btn + .btn,
+.btn-group .btn + .btn-group,
+.btn-group .btn-group + .btn,
+.btn-group .btn-group + .btn-group {
+  margin-left: -1px;
+}
+.btn-toolbar {
+  margin-left: -5px;
+}
+.btn-toolbar .btn,
+.btn-toolbar .btn-group,
+.btn-toolbar .input-group {
+  float: left;
+}
+.btn-toolbar > .btn,
+.btn-toolbar > .btn-group,
+.btn-toolbar > .input-group {
+  margin-left: 5px;
+}
+.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {
+  border-radius: 0;
+}
+.btn-group > .btn:first-child {
+  margin-left: 0;
+}
+.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {
+  border-bottom-right-radius: 0;
+  border-top-right-radius: 0;
+}
+.btn-group > .btn:last-child:not(:first-child),
+.btn-group > .dropdown-toggle:not(:first-child) {
+  border-bottom-left-radius: 0;
+  border-top-left-radius: 0;
+}
+.btn-group > .btn-group {
+  float: left;
+}
+.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {
+  border-radius: 0;
+}
+.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,
+.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
+  border-bottom-right-radius: 0;
+  border-top-right-radius: 0;
+}
+.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {
+  border-bottom-left-radius: 0;
+  border-top-left-radius: 0;
+}
+.btn-group .dropdown-toggle:active,
+.btn-group.open .dropdown-toggle {
+  outline: 0;
+}
+.btn-group > .btn + .dropdown-toggle {
+  padding-left: 8px;
+  padding-right: 8px;
+}
+.btn-group > .btn-lg + .dropdown-toggle {
+  padding-left: 12px;
+  padding-right: 12px;
+}
+.btn-group.open .dropdown-toggle {
+  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
+  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
+}
+.btn-group.open .dropdown-toggle.btn-link {
+  -webkit-box-shadow: none;
+  box-shadow: none;
+}
+.btn .caret {
+  margin-left: 0;
+}
+.btn-lg .caret {
+  border-width: 5px 5px 0;
+  border-bottom-width: 0;
+}
+.dropup .btn-lg .caret {
+  border-width: 0 5px 5px;
+}
+.btn-group-vertical > .btn,
+.btn-group-vertical > .btn-group,
+.btn-group-vertical > .btn-group > .btn {
+  display: block;
+  float: none;
+  width: 100%;
+  max-width: 100%;
+}
+.btn-group-vertical > .btn-group > .btn {
+  float: none;
+}
+.btn-group-vertical > .btn + .btn,
+.btn-group-vertical > .btn + .btn-group,
+.btn-group-vertical > .btn-group + .btn,
+.btn-group-vertical > .btn-group + .btn-group {
+  margin-top: -1px;
+  margin-left: 0;
+}
+.btn-group-vertical > .btn:not(:first-child):not(:last-child) {
+  border-radius: 0;
+}
+.btn-group-vertical > .btn:first-child:not(:last-child) {
+  border-top-right-radius: 2px;
+  border-top-left-radius: 2px;
+  border-bottom-right-radius: 0;
+  border-bottom-left-radius: 0;
+}
+.btn-group-vertical > .btn:last-child:not(:first-child) {
+  border-top-right-radius: 0;
+  border-top-left-radius: 0;
+  border-bottom-right-radius: 2px;
+  border-bottom-left-radius: 2px;
+}
+.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {
+  border-radius: 0;
+}
+.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,
+.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
+  border-bottom-right-radius: 0;
+  border-bottom-left-radius: 0;
+}
+.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {
+  border-top-right-radius: 0;
+  border-top-left-radius: 0;
+}
+.btn-group-justified {
+  display: table;
+  width: 100%;
+  table-layout: fixed;
+  border-collapse: separate;
+}
+.btn-group-justified > .btn,
+.btn-group-justified > .btn-group {
+  float: none;
+  display: table-cell;
+  width: 1%;
+}
+.btn-group-justified > .btn-group .btn {
+  width: 100%;
+}
+.btn-group-justified > .btn-group .dropdown-menu {
+  left: auto;
+}
+[data-toggle="buttons"] > .btn input[type="radio"],
+[data-toggle="buttons"] > .btn-group > .btn input[type="radio"],
+[data-toggle="buttons"] > .btn input[type="checkbox"],
+[data-toggle="buttons"] > .btn-group > .btn input[type="checkbox"] {
+  position: absolute;
+  clip: rect(0, 0, 0, 0);
+  pointer-events: none;
+}
+.input-group {
+  position: relative;
+  display: table;
+  border-collapse: separate;
+}
+.input-group[class*="col-"] {
+  float: none;
+  padding-left: 0;
+  padding-right: 0;
+}
+.input-group .form-control {
+  position: relative;
+  z-index: 2;
+  float: left;
+  width: 100%;
+  margin-bottom: 0;
+}
+.input-group .form-control:focus {
+  z-index: 3;
+}
+.input-group-lg > .form-control,
+.input-group-lg > .input-group-addon,
+.input-group-lg > .input-group-btn > .btn {
+  height: 45px;
+  padding: 10px 16px;
+  font-size: 17px;
+  line-height: 1.3333333;
+  border-radius: 3px;
+}
+select.input-group-lg > .form-control,
+select.input-group-lg > .input-group-addon,
+select.input-group-lg > .input-group-btn > .btn {
+  height: 45px;
+  line-height: 45px;
+}
+textarea.input-group-lg > .form-control,
+textarea.input-group-lg > .input-group-addon,
+textarea.input-group-lg > .input-group-btn > .btn,
+select[multiple].input-group-lg > .form-control,
+select[multiple].input-group-lg > .input-group-addon,
+select[multiple].input-group-lg > .input-group-btn > .btn {
+  height: auto;
+}
+.input-group-sm > .form-control,
+.input-group-sm > .input-group-addon,
+.input-group-sm > .input-group-btn > .btn {
+  height: 30px;
+  padding: 5px 10px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 1px;
+}
+select.input-group-sm > .form-control,
+select.input-group-sm > .input-group-addon,
+select.input-group-sm > .input-group-btn > .btn {
+  height: 30px;
+  line-height: 30px;
+}
+textarea.input-group-sm > .form-control,
+textarea.input-group-sm > .input-group-addon,
+textarea.input-group-sm > .input-group-btn > .btn,
+select[multiple].input-group-sm > .form-control,
+select[multiple].input-group-sm > .input-group-addon,
+select[multiple].input-group-sm > .input-group-btn > .btn {
+  height: auto;
+}
+.input-group-addon,
+.input-group-btn,
+.input-group .form-control {
+  display: table-cell;
+}
+.input-group-addon:not(:first-child):not(:last-child),
+.input-group-btn:not(:first-child):not(:last-child),
+.input-group .form-control:not(:first-child):not(:last-child) {
+  border-radius: 0;
+}
+.input-group-addon,
+.input-group-btn {
+  width: 1%;
+  white-space: nowrap;
+  vertical-align: middle;
+}
+.input-group-addon {
+  padding: 6px 12px;
+  font-size: 13px;
+  font-weight: normal;
+  line-height: 1;
+  color: #555555;
+  text-align: center;
+  background-color: #eeeeee;
+  border: 1px solid #ccc;
+  border-radius: 2px;
+}
+.input-group-addon.input-sm {
+  padding: 5px 10px;
+  font-size: 12px;
+  border-radius: 1px;
+}
+.input-group-addon.input-lg {
+  padding: 10px 16px;
+  font-size: 17px;
+  border-radius: 3px;
+}
+.input-group-addon input[type="radio"],
+.input-group-addon input[type="checkbox"] {
+  margin-top: 0;
+}
+.input-group .form-control:first-child,
+.input-group-addon:first-child,
+.input-group-btn:first-child > .btn,
+.input-group-btn:first-child > .btn-group > .btn,
+.input-group-btn:first-child > .dropdown-toggle,
+.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),
+.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {
+  border-bottom-right-radius: 0;
+  border-top-right-radius: 0;
+}
+.input-group-addon:first-child {
+  border-right: 0;
+}
+.input-group .form-control:last-child,
+.input-group-addon:last-child,
+.input-group-btn:last-child > .btn,
+.input-group-btn:last-child > .btn-group > .btn,
+.input-group-btn:last-child > .dropdown-toggle,
+.input-group-btn:first-child > .btn:not(:first-child),
+.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {
+  border-bottom-left-radius: 0;
+  border-top-left-radius: 0;
+}
+.input-group-addon:last-child {
+  border-left: 0;
+}
+.input-group-btn {
+  position: relative;
+  font-size: 0;
+  white-space: nowrap;
+}
+.input-group-btn > .btn {
+  position: relative;
+}
+.input-group-btn > .btn + .btn {
+  margin-left: -1px;
+}
+.input-group-btn > .btn:hover,
+.input-group-btn > .btn:focus,
+.input-group-btn > .btn:active {
+  z-index: 2;
+}
+.input-group-btn:first-child > .btn,
+.input-group-btn:first-child > .btn-group {
+  margin-right: -1px;
+}
+.input-group-btn:last-child > .btn,
+.input-group-btn:last-child > .btn-group {
+  z-index: 2;
+  margin-left: -1px;
+}
+.nav {
+  margin-bottom: 0;
+  padding-left: 0;
+  list-style: none;
+}
+.nav > li {
+  position: relative;
+  display: block;
+}
+.nav > li > a {
+  position: relative;
+  display: block;
+  padding: 10px 15px;
+}
+.nav > li > a:hover,
+.nav > li > a:focus {
+  text-decoration: none;
+  background-color: #eeeeee;
+}
+.nav > li.disabled > a {
+  color: #777777;
+}
+.nav > li.disabled > a:hover,
+.nav > li.disabled > a:focus {
+  color: #777777;
+  text-decoration: none;
+  background-color: transparent;
+  cursor: not-allowed;
+}
+.nav .open > a,
+.nav .open > a:hover,
+.nav .open > a:focus {
+  background-color: #eeeeee;
+  border-color: #337ab7;
+}
+.nav .nav-divider {
+  height: 1px;
+  margin: 8px 0;
+  overflow: hidden;
+  background-color: #e5e5e5;
+}
+.nav > li > a > img {
+  max-width: none;
+}
+.nav-tabs {
+  border-bottom: 1px solid #ddd;
+}
+.nav-tabs > li {
+  float: left;
+  margin-bottom: -1px;
+}
+.nav-tabs > li > a {
+  margin-right: 2px;
+  line-height: 1.42857143;
+  border: 1px solid transparent;
+  border-radius: 2px 2px 0 0;
+}
+.nav-tabs > li > a:hover {
+  border-color: #eeeeee #eeeeee #ddd;
+}
+.nav-tabs > li.active > a,
+.nav-tabs > li.active > a:hover,
+.nav-tabs > li.active > a:focus {
+  color: #555555;
+  background-color: #fff;
+  border: 1px solid #ddd;
+  border-bottom-color: transparent;
+  cursor: default;
+}
+.nav-tabs.nav-justified {
+  width: 100%;
+  border-bottom: 0;
+}
+.nav-tabs.nav-justified > li {
+  float: none;
+}
+.nav-tabs.nav-justified > li > a {
+  text-align: center;
+  margin-bottom: 5px;
+}
+.nav-tabs.nav-justified > .dropdown .dropdown-menu {
+  top: auto;
+  left: auto;
+}
+@media (min-width: 768px) {
+  .nav-tabs.nav-justified > li {
+    display: table-cell;
+    width: 1%;
+  }
+  .nav-tabs.nav-justified > li > a {
+    margin-bottom: 0;
+  }
+}
+.nav-tabs.nav-justified > li > a {
+  margin-right: 0;
+  border-radius: 2px;
+}
+.nav-tabs.nav-justified > .active > a,
+.nav-tabs.nav-justified > .active > a:hover,
+.nav-tabs.nav-justified > .active > a:focus {
+  border: 1px solid #ddd;
+}
+@media (min-width: 768px) {
+  .nav-tabs.nav-justified > li > a {
+    border-bottom: 1px solid #ddd;
+    border-radius: 2px 2px 0 0;
+  }
+  .nav-tabs.nav-justified > .active > a,
+  .nav-tabs.nav-justified > .active > a:hover,
+  .nav-tabs.nav-justified > .active > a:focus {
+    border-bottom-color: #fff;
+  }
+}
+.nav-pills > li {
+  float: left;
+}
+.nav-pills > li > a {
+  border-radius: 2px;
+}
+.nav-pills > li + li {
+  margin-left: 2px;
+}
+.nav-pills > li.active > a,
+.nav-pills > li.active > a:hover,
+.nav-pills > li.active > a:focus {
+  color: #fff;
+  background-color: #337ab7;
+}
+.nav-stacked > li {
+  float: none;
+}
+.nav-stacked > li + li {
+  margin-top: 2px;
+  margin-left: 0;
+}
+.nav-justified {
+  width: 100%;
+}
+.nav-justified > li {
+  float: none;
+}
+.nav-justified > li > a {
+  text-align: center;
+  margin-bottom: 5px;
+}
+.nav-justified > .dropdown .dropdown-menu {
+  top: auto;
+  left: auto;
+}
+@media (min-width: 768px) {
+  .nav-justified > li {
+    display: table-cell;
+    width: 1%;
+  }
+  .nav-justified > li > a {
+    margin-bottom: 0;
+  }
+}
+.nav-tabs-justified {
+  border-bottom: 0;
+}
+.nav-tabs-justified > li > a {
+  margin-right: 0;
+  border-radius: 2px;
+}
+.nav-tabs-justified > .active > a,
+.nav-tabs-justified > .active > a:hover,
+.nav-tabs-justified > .active > a:focus {
+  border: 1px solid #ddd;
+}
+@media (min-width: 768px) {
+  .nav-tabs-justified > li > a {
+    border-bottom: 1px solid #ddd;
+    border-radius: 2px 2px 0 0;
+  }
+  .nav-tabs-justified > .active > a,
+  .nav-tabs-justified > .active > a:hover,
+  .nav-tabs-justified > .active > a:focus {
+    border-bottom-color: #fff;
+  }
+}
+.tab-content > .tab-pane {
+  display: none;
+}
+.tab-content > .active {
+  display: block;
+}
+.nav-tabs .dropdown-menu {
+  margin-top: -1px;
+  border-top-right-radius: 0;
+  border-top-left-radius: 0;
+}
+.navbar {
+  position: relative;
+  min-height: 30px;
+  margin-bottom: 18px;
+  border: 1px solid transparent;
+}
+@media (min-width: 541px) {
+  .navbar {
+    border-radius: 2px;
+  }
+}
+@media (min-width: 541px) {
+  .navbar-header {
+    float: left;
+  }
+}
+.navbar-collapse {
+  overflow-x: visible;
+  padding-right: 0px;
+  padding-left: 0px;
+  border-top: 1px solid transparent;
+  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);
+  -webkit-overflow-scrolling: touch;
+}
+.navbar-collapse.in {
+  overflow-y: auto;
+}
+@media (min-width: 541px) {
+  .navbar-collapse {
+    width: auto;
+    border-top: 0;
+    box-shadow: none;
+  }
+  .navbar-collapse.collapse {
+    display: block !important;
+    height: auto !important;
+    padding-bottom: 0;
+    overflow: visible !important;
+  }
+  .navbar-collapse.in {
+    overflow-y: visible;
+  }
+  .navbar-fixed-top .navbar-collapse,
+  .navbar-static-top .navbar-collapse,
+  .navbar-fixed-bottom .navbar-collapse {
+    padding-left: 0;
+    padding-right: 0;
+  }
+}
+.navbar-fixed-top .navbar-collapse,
+.navbar-fixed-bottom .navbar-collapse {
+  max-height: 340px;
+}
+@media (max-device-width: 540px) and (orientation: landscape) {
+  .navbar-fixed-top .navbar-collapse,
+  .navbar-fixed-bottom .navbar-collapse {
+    max-height: 200px;
+  }
+}
+.container > .navbar-header,
+.container-fluid > .navbar-header,
+.container > .navbar-collapse,
+.container-fluid > .navbar-collapse {
+  margin-right: 0px;
+  margin-left: 0px;
+}
+@media (min-width: 541px) {
+  .container > .navbar-header,
+  .container-fluid > .navbar-header,
+  .container > .navbar-collapse,
+  .container-fluid > .navbar-collapse {
+    margin-right: 0;
+    margin-left: 0;
+  }
+}
+.navbar-static-top {
+  z-index: 1000;
+  border-width: 0 0 1px;
+}
+@media (min-width: 541px) {
+  .navbar-static-top {
+    border-radius: 0;
+  }
+}
+.navbar-fixed-top,
+.navbar-fixed-bottom {
+  position: fixed;
+  right: 0;
+  left: 0;
+  z-index: 1030;
+}
+@media (min-width: 541px) {
+  .navbar-fixed-top,
+  .navbar-fixed-bottom {
+    border-radius: 0;
+  }
+}
+.navbar-fixed-top {
+  top: 0;
+  border-width: 0 0 1px;
+}
+.navbar-fixed-bottom {
+  bottom: 0;
+  margin-bottom: 0;
+  border-width: 1px 0 0;
+}
+.navbar-brand {
+  float: left;
+  padding: 6px 0px;
+  font-size: 17px;
+  line-height: 18px;
+  height: 30px;
+}
+.navbar-brand:hover,
+.navbar-brand:focus {
+  text-decoration: none;
+}
+.navbar-brand > img {
+  display: block;
+}
+@media (min-width: 541px) {
+  .navbar > .container .navbar-brand,
+  .navbar > .container-fluid .navbar-brand {
+    margin-left: 0px;
+  }
+}
+.navbar-toggle {
+  position: relative;
+  float: right;
+  margin-right: 0px;
+  padding: 9px 10px;
+  margin-top: -2px;
+  margin-bottom: -2px;
+  background-color: transparent;
+  background-image: none;
+  border: 1px solid transparent;
+  border-radius: 2px;
+}
+.navbar-toggle:focus {
+  outline: 0;
+}
+.navbar-toggle .icon-bar {
+  display: block;
+  width: 22px;
+  height: 2px;
+  border-radius: 1px;
+}
+.navbar-toggle .icon-bar + .icon-bar {
+  margin-top: 4px;
+}
+@media (min-width: 541px) {
+  .navbar-toggle {
+    display: none;
+  }
+}
+.navbar-nav {
+  margin: 3px 0px;
+}
+.navbar-nav > li > a {
+  padding-top: 10px;
+  padding-bottom: 10px;
+  line-height: 18px;
+}
+@media (max-width: 540px) {
+  .navbar-nav .open .dropdown-menu {
+    position: static;
+    float: none;
+    width: auto;
+    margin-top: 0;
+    background-color: transparent;
+    border: 0;
+    box-shadow: none;
+  }
+  .navbar-nav .open .dropdown-menu > li > a,
+  .navbar-nav .open .dropdown-menu .dropdown-header {
+    padding: 5px 15px 5px 25px;
+  }
+  .navbar-nav .open .dropdown-menu > li > a {
+    line-height: 18px;
+  }
+  .navbar-nav .open .dropdown-menu > li > a:hover,
+  .navbar-nav .open .dropdown-menu > li > a:focus {
+    background-image: none;
+  }
+}
+@media (min-width: 541px) {
+  .navbar-nav {
+    float: left;
+    margin: 0;
+  }
+  .navbar-nav > li {
+    float: left;
+  }
+  .navbar-nav > li > a {
+    padding-top: 6px;
+    padding-bottom: 6px;
+  }
+}
+.navbar-form {
+  margin-left: 0px;
+  margin-right: 0px;
+  padding: 10px 0px;
+  border-top: 1px solid transparent;
+  border-bottom: 1px solid transparent;
+  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
+  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
+  margin-top: -1px;
+  margin-bottom: -1px;
+}
+@media (min-width: 768px) {
+  .navbar-form .form-group {
+    display: inline-block;
+    margin-bottom: 0;
+    vertical-align: middle;
+  }
+  .navbar-form .form-control {
+    display: inline-block;
+    width: auto;
+    vertical-align: middle;
+  }
+  .navbar-form .form-control-static {
+    display: inline-block;
+  }
+  .navbar-form .input-group {
+    display: inline-table;
+    vertical-align: middle;
+  }
+  .navbar-form .input-group .input-group-addon,
+  .navbar-form .input-group .input-group-btn,
+  .navbar-form .input-group .form-control {
+    width: auto;
+  }
+  .navbar-form .input-group > .form-control {
+    width: 100%;
+  }
+  .navbar-form .control-label {
+    margin-bottom: 0;
+    vertical-align: middle;
+  }
+  .navbar-form .radio,
+  .navbar-form .checkbox {
+    display: inline-block;
+    margin-top: 0;
+    margin-bottom: 0;
+    vertical-align: middle;
+  }
+  .navbar-form .radio label,
+  .navbar-form .checkbox label {
+    padding-left: 0;
+  }
+  .navbar-form .radio input[type="radio"],
+  .navbar-form .checkbox input[type="checkbox"] {
+    position: relative;
+    margin-left: 0;
+  }
+  .navbar-form .has-feedback .form-control-feedback {
+    top: 0;
+  }
+}
+@media (max-width: 540px) {
+  .navbar-form .form-group {
+    margin-bottom: 5px;
+  }
+  .navbar-form .form-group:last-child {
+    margin-bottom: 0;
+  }
+}
+@media (min-width: 541px) {
+  .navbar-form {
+    width: auto;
+    border: 0;
+    margin-left: 0;
+    margin-right: 0;
+    padding-top: 0;
+    padding-bottom: 0;
+    -webkit-box-shadow: none;
+    box-shadow: none;
+  }
+}
+.navbar-nav > li > .dropdown-menu {
+  margin-top: 0;
+  border-top-right-radius: 0;
+  border-top-left-radius: 0;
+}
+.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
+  margin-bottom: 0;
+  border-top-right-radius: 2px;
+  border-top-left-radius: 2px;
+  border-bottom-right-radius: 0;
+  border-bottom-left-radius: 0;
+}
+.navbar-btn {
+  margin-top: -1px;
+  margin-bottom: -1px;
+}
+.navbar-btn.btn-sm {
+  margin-top: 0px;
+  margin-bottom: 0px;
+}
+.navbar-btn.btn-xs {
+  margin-top: 4px;
+  margin-bottom: 4px;
+}
+.navbar-text {
+  margin-top: 6px;
+  margin-bottom: 6px;
+}
+@media (min-width: 541px) {
+  .navbar-text {
+    float: left;
+    margin-left: 0px;
+    margin-right: 0px;
+  }
+}
+@media (min-width: 541px) {
+  .navbar-left {
+    float: left !important;
+    float: left;
+  }
+  .navbar-right {
+    float: right !important;
+    float: right;
+    margin-right: 0px;
+  }
+  .navbar-right ~ .navbar-right {
+    margin-right: 0;
+  }
+}
+.navbar-default {
+  background-color: #f8f8f8;
+  border-color: #e7e7e7;
+}
+.navbar-default .navbar-brand {
+  color: #777;
+}
+.navbar-default .navbar-brand:hover,
+.navbar-default .navbar-brand:focus {
+  color: #5e5e5e;
+  background-color: transparent;
+}
+.navbar-default .navbar-text {
+  color: #777;
+}
+.navbar-default .navbar-nav > li > a {
+  color: #777;
+}
+.navbar-default .navbar-nav > li > a:hover,
+.navbar-default .navbar-nav > li > a:focus {
+  color: #333;
+  background-color: transparent;
+}
+.navbar-default .navbar-nav > .active > a,
+.navbar-default .navbar-nav > .active > a:hover,
+.navbar-default .navbar-nav > .active > a:focus {
+  color: #555;
+  background-color: #e7e7e7;
+}
+.navbar-default .navbar-nav > .disabled > a,
+.navbar-default .navbar-nav > .disabled > a:hover,
+.navbar-default .navbar-nav > .disabled > a:focus {
+  color: #ccc;
+  background-color: transparent;
+}
+.navbar-default .navbar-toggle {
+  border-color: #ddd;
+}
+.navbar-default .navbar-toggle:hover,
+.navbar-default .navbar-toggle:focus {
+  background-color: #ddd;
+}
+.navbar-default .navbar-toggle .icon-bar {
+  background-color: #888;
+}
+.navbar-default .navbar-collapse,
+.navbar-default .navbar-form {
+  border-color: #e7e7e7;
+}
+.navbar-default .navbar-nav > .open > a,
+.navbar-default .navbar-nav > .open > a:hover,
+.navbar-default .navbar-nav > .open > a:focus {
+  background-color: #e7e7e7;
+  color: #555;
+}
+@media (max-width: 540px) {
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
+    color: #777;
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
+    color: #333;
+    background-color: transparent;
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
+    color: #555;
+    background-color: #e7e7e7;
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
+    color: #ccc;
+    background-color: transparent;
+  }
+}
+.navbar-default .navbar-link {
+  color: #777;
+}
+.navbar-default .navbar-link:hover {
+  color: #333;
+}
+.navbar-default .btn-link {
+  color: #777;
+}
+.navbar-default .btn-link:hover,
+.navbar-default .btn-link:focus {
+  color: #333;
+}
+.navbar-default .btn-link[disabled]:hover,
+fieldset[disabled] .navbar-default .btn-link:hover,
+.navbar-default .btn-link[disabled]:focus,
+fieldset[disabled] .navbar-default .btn-link:focus {
+  color: #ccc;
+}
+.navbar-inverse {
+  background-color: #222;
+  border-color: #080808;
+}
+.navbar-inverse .navbar-brand {
+  color: #9d9d9d;
+}
+.navbar-inverse .navbar-brand:hover,
+.navbar-inverse .navbar-brand:focus {
+  color: #fff;
+  background-color: transparent;
+}
+.navbar-inverse .navbar-text {
+  color: #9d9d9d;
+}
+.navbar-inverse .navbar-nav > li > a {
+  color: #9d9d9d;
+}
+.navbar-inverse .navbar-nav > li > a:hover,
+.navbar-inverse .navbar-nav > li > a:focus {
+  color: #fff;
+  background-color: transparent;
+}
+.navbar-inverse .navbar-nav > .active > a,
+.navbar-inverse .navbar-nav > .active > a:hover,
+.navbar-inverse .navbar-nav > .active > a:focus {
+  color: #fff;
+  background-color: #080808;
+}
+.navbar-inverse .navbar-nav > .disabled > a,
+.navbar-inverse .navbar-nav > .disabled > a:hover,
+.navbar-inverse .navbar-nav > .disabled > a:focus {
+  color: #444;
+  background-color: transparent;
+}
+.navbar-inverse .navbar-toggle {
+  border-color: #333;
+}
+.navbar-inverse .navbar-toggle:hover,
+.navbar-inverse .navbar-toggle:focus {
+  background-color: #333;
+}
+.navbar-inverse .navbar-toggle .icon-bar {
+  background-color: #fff;
+}
+.navbar-inverse .navbar-collapse,
+.navbar-inverse .navbar-form {
+  border-color: #101010;
+}
+.navbar-inverse .navbar-nav > .open > a,
+.navbar-inverse .navbar-nav > .open > a:hover,
+.navbar-inverse .navbar-nav > .open > a:focus {
+  background-color: #080808;
+  color: #fff;
+}
+@media (max-width: 540px) {
+  .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {
+    border-color: #080808;
+  }
+  .navbar-inverse .navbar-nav .open .dropdown-menu .divider {
+    background-color: #080808;
+  }
+  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a {
+    color: #9d9d9d;
+  }
+  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,
+  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {
+    color: #fff;
+    background-color: transparent;
+  }
+  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,
+  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,
+  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {
+    color: #fff;
+    background-color: #080808;
+  }
+  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,
+  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,
+  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {
+    color: #444;
+    background-color: transparent;
+  }
+}
+.navbar-inverse .navbar-link {
+  color: #9d9d9d;
+}
+.navbar-inverse .navbar-link:hover {
+  color: #fff;
+}
+.navbar-inverse .btn-link {
+  color: #9d9d9d;
+}
+.navbar-inverse .btn-link:hover,
+.navbar-inverse .btn-link:focus {
+  color: #fff;
+}
+.navbar-inverse .btn-link[disabled]:hover,
+fieldset[disabled] .navbar-inverse .btn-link:hover,
+.navbar-inverse .btn-link[disabled]:focus,
+fieldset[disabled] .navbar-inverse .btn-link:focus {
+  color: #444;
+}
+.breadcrumb {
+  padding: 8px 15px;
+  margin-bottom: 18px;
+  list-style: none;
+  background-color: #f5f5f5;
+  border-radius: 2px;
+}
+.breadcrumb > li {
+  display: inline-block;
+}
+.breadcrumb > li + li:before {
+  content: "/\00a0";
+  padding: 0 5px;
+  color: #5e5e5e;
+}
+.breadcrumb > .active {
+  color: #777777;
+}
+.pagination {
+  display: inline-block;
+  padding-left: 0;
+  margin: 18px 0;
+  border-radius: 2px;
+}
+.pagination > li {
+  display: inline;
+}
+.pagination > li > a,
+.pagination > li > span {
+  position: relative;
+  float: left;
+  padding: 6px 12px;
+  line-height: 1.42857143;
+  text-decoration: none;
+  color: #337ab7;
+  background-color: #fff;
+  border: 1px solid #ddd;
+  margin-left: -1px;
+}
+.pagination > li:first-child > a,
+.pagination > li:first-child > span {
+  margin-left: 0;
+  border-bottom-left-radius: 2px;
+  border-top-left-radius: 2px;
+}
+.pagination > li:last-child > a,
+.pagination > li:last-child > span {
+  border-bottom-right-radius: 2px;
+  border-top-right-radius: 2px;
+}
+.pagination > li > a:hover,
+.pagination > li > span:hover,
+.pagination > li > a:focus,
+.pagination > li > span:focus {
+  z-index: 2;
+  color: #23527c;
+  background-color: #eeeeee;
+  border-color: #ddd;
+}
+.pagination > .active > a,
+.pagination > .active > span,
+.pagination > .active > a:hover,
+.pagination > .active > span:hover,
+.pagination > .active > a:focus,
+.pagination > .active > span:focus {
+  z-index: 3;
+  color: #fff;
+  background-color: #337ab7;
+  border-color: #337ab7;
+  cursor: default;
+}
+.pagination > .disabled > span,
+.pagination > .disabled > span:hover,
+.pagination > .disabled > span:focus,
+.pagination > .disabled > a,
+.pagination > .disabled > a:hover,
+.pagination > .disabled > a:focus {
+  color: #777777;
+  background-color: #fff;
+  border-color: #ddd;
+  cursor: not-allowed;
+}
+.pagination-lg > li > a,
+.pagination-lg > li > span {
+  padding: 10px 16px;
+  font-size: 17px;
+  line-height: 1.3333333;
+}
+.pagination-lg > li:first-child > a,
+.pagination-lg > li:first-child > span {
+  border-bottom-left-radius: 3px;
+  border-top-left-radius: 3px;
+}
+.pagination-lg > li:last-child > a,
+.pagination-lg > li:last-child > span {
+  border-bottom-right-radius: 3px;
+  border-top-right-radius: 3px;
+}
+.pagination-sm > li > a,
+.pagination-sm > li > span {
+  padding: 5px 10px;
+  font-size: 12px;
+  line-height: 1.5;
+}
+.pagination-sm > li:first-child > a,
+.pagination-sm > li:first-child > span {
+  border-bottom-left-radius: 1px;
+  border-top-left-radius: 1px;
+}
+.pagination-sm > li:last-child > a,
+.pagination-sm > li:last-child > span {
+  border-bottom-right-radius: 1px;
+  border-top-right-radius: 1px;
+}
+.pager {
+  padding-left: 0;
+  margin: 18px 0;
+  list-style: none;
+  text-align: center;
+}
+.pager li {
+  display: inline;
+}
+.pager li > a,
+.pager li > span {
+  display: inline-block;
+  padding: 5px 14px;
+  background-color: #fff;
+  border: 1px solid #ddd;
+  border-radius: 15px;
+}
+.pager li > a:hover,
+.pager li > a:focus {
+  text-decoration: none;
+  background-color: #eeeeee;
+}
+.pager .next > a,
+.pager .next > span {
+  float: right;
+}
+.pager .previous > a,
+.pager .previous > span {
+  float: left;
+}
+.pager .disabled > a,
+.pager .disabled > a:hover,
+.pager .disabled > a:focus,
+.pager .disabled > span {
+  color: #777777;
+  background-color: #fff;
+  cursor: not-allowed;
+}
+.label {
+  display: inline;
+  padding: .2em .6em .3em;
+  font-size: 75%;
+  font-weight: bold;
+  line-height: 1;
+  color: #fff;
+  text-align: center;
+  white-space: nowrap;
+  vertical-align: baseline;
+  border-radius: .25em;
+}
+a.label:hover,
+a.label:focus {
+  color: #fff;
+  text-decoration: none;
+  cursor: pointer;
+}
+.label:empty {
+  display: none;
+}
+.btn .label {
+  position: relative;
+  top: -1px;
+}
+.label-default {
+  background-color: #777777;
+}
+.label-default[href]:hover,
+.label-default[href]:focus {
+  background-color: #5e5e5e;
+}
+.label-primary {
+  background-color: #337ab7;
+}
+.label-primary[href]:hover,
+.label-primary[href]:focus {
+  background-color: #286090;
+}
+.label-success {
+  background-color: #5cb85c;
+}
+.label-success[href]:hover,
+.label-success[href]:focus {
+  background-color: #449d44;
+}
+.label-info {
+  background-color: #5bc0de;
+}
+.label-info[href]:hover,
+.label-info[href]:focus {
+  background-color: #31b0d5;
+}
+.label-warning {
+  background-color: #f0ad4e;
+}
+.label-warning[href]:hover,
+.label-warning[href]:focus {
+  background-color: #ec971f;
+}
+.label-danger {
+  background-color: #d9534f;
+}
+.label-danger[href]:hover,
+.label-danger[href]:focus {
+  background-color: #c9302c;
+}
+.badge {
+  display: inline-block;
+  min-width: 10px;
+  padding: 3px 7px;
+  font-size: 12px;
+  font-weight: bold;
+  color: #fff;
+  line-height: 1;
+  vertical-align: middle;
+  white-space: nowrap;
+  text-align: center;
+  background-color: #777777;
+  border-radius: 10px;
+}
+.badge:empty {
+  display: none;
+}
+.btn .badge {
+  position: relative;
+  top: -1px;
+}
+.btn-xs .badge,
+.btn-group-xs > .btn .badge {
+  top: 0;
+  padding: 1px 5px;
+}
+a.badge:hover,
+a.badge:focus {
+  color: #fff;
+  text-decoration: none;
+  cursor: pointer;
+}
+.list-group-item.active > .badge,
+.nav-pills > .active > a > .badge {
+  color: #337ab7;
+  background-color: #fff;
+}
+.list-group-item > .badge {
+  float: right;
+}
+.list-group-item > .badge + .badge {
+  margin-right: 5px;
+}
+.nav-pills > li > a > .badge {
+  margin-left: 3px;
+}
+.jumbotron {
+  padding-top: 30px;
+  padding-bottom: 30px;
+  margin-bottom: 30px;
+  color: inherit;
+  background-color: #eeeeee;
+}
+.jumbotron h1,
+.jumbotron .h1 {
+  color: inherit;
+}
+.jumbotron p {
+  margin-bottom: 15px;
+  font-size: 20px;
+  font-weight: 200;
+}
+.jumbotron > hr {
+  border-top-color: #d5d5d5;
+}
+.container .jumbotron,
+.container-fluid .jumbotron {
+  border-radius: 3px;
+  padding-left: 0px;
+  padding-right: 0px;
+}
+.jumbotron .container {
+  max-width: 100%;
+}
+@media screen and (min-width: 768px) {
+  .jumbotron {
+    padding-top: 48px;
+    padding-bottom: 48px;
+  }
+  .container .jumbotron,
+  .container-fluid .jumbotron {
+    padding-left: 60px;
+    padding-right: 60px;
+  }
+  .jumbotron h1,
+  .jumbotron .h1 {
+    font-size: 59px;
+  }
+}
+.thumbnail {
+  display: block;
+  padding: 4px;
+  margin-bottom: 18px;
+  line-height: 1.42857143;
+  background-color: #fff;
+  border: 1px solid #ddd;
+  border-radius: 2px;
+  -webkit-transition: border 0.2s ease-in-out;
+  -o-transition: border 0.2s ease-in-out;
+  transition: border 0.2s ease-in-out;
+}
+.thumbnail > img,
+.thumbnail a > img {
+  margin-left: auto;
+  margin-right: auto;
+}
+a.thumbnail:hover,
+a.thumbnail:focus,
+a.thumbnail.active {
+  border-color: #337ab7;
+}
+.thumbnail .caption {
+  padding: 9px;
+  color: #000;
+}
+.alert {
+  padding: 15px;
+  margin-bottom: 18px;
+  border: 1px solid transparent;
+  border-radius: 2px;
+}
+.alert h4 {
+  margin-top: 0;
+  color: inherit;
+}
+.alert .alert-link {
+  font-weight: bold;
+}
+.alert > p,
+.alert > ul {
+  margin-bottom: 0;
+}
+.alert > p + p {
+  margin-top: 5px;
+}
+.alert-dismissable,
+.alert-dismissible {
+  padding-right: 35px;
+}
+.alert-dismissable .close,
+.alert-dismissible .close {
+  position: relative;
+  top: -2px;
+  right: -21px;
+  color: inherit;
+}
+.alert-success {
+  background-color: #dff0d8;
+  border-color: #d6e9c6;
+  color: #3c763d;
+}
+.alert-success hr {
+  border-top-color: #c9e2b3;
+}
+.alert-success .alert-link {
+  color: #2b542c;
+}
+.alert-info {
+  background-color: #d9edf7;
+  border-color: #bce8f1;
+  color: #31708f;
+}
+.alert-info hr {
+  border-top-color: #a6e1ec;
+}
+.alert-info .alert-link {
+  color: #245269;
+}
+.alert-warning {
+  background-color: #fcf8e3;
+  border-color: #faebcc;
+  color: #8a6d3b;
+}
+.alert-warning hr {
+  border-top-color: #f7e1b5;
+}
+.alert-warning .alert-link {
+  color: #66512c;
+}
+.alert-danger {
+  background-color: #f2dede;
+  border-color: #ebccd1;
+  color: #a94442;
+}
+.alert-danger hr {
+  border-top-color: #e4b9c0;
+}
+.alert-danger .alert-link {
+  color: #843534;
+}
+@-webkit-keyframes progress-bar-stripes {
+  from {
+    background-position: 40px 0;
+  }
+  to {
+    background-position: 0 0;
+  }
+}
+@keyframes progress-bar-stripes {
+  from {
+    background-position: 40px 0;
+  }
+  to {
+    background-position: 0 0;
+  }
+}
+.progress {
+  overflow: hidden;
+  height: 18px;
+  margin-bottom: 18px;
+  background-color: #f5f5f5;
+  border-radius: 2px;
+  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
+  box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
+}
+.progress-bar {
+  float: left;
+  width: 0%;
+  height: 100%;
+  font-size: 12px;
+  line-height: 18px;
+  color: #fff;
+  text-align: center;
+  background-color: #337ab7;
+  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
+  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
+  -webkit-transition: width 0.6s ease;
+  -o-transition: width 0.6s ease;
+  transition: width 0.6s ease;
+}
+.progress-striped .progress-bar,
+.progress-bar-striped {
+  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-size: 40px 40px;
+}
+.progress.active .progress-bar,
+.progress-bar.active {
+  -webkit-animation: progress-bar-stripes 2s linear infinite;
+  -o-animation: progress-bar-stripes 2s linear infinite;
+  animation: progress-bar-stripes 2s linear infinite;
+}
+.progress-bar-success {
+  background-color: #5cb85c;
+}
+.progress-striped .progress-bar-success {
+  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+}
+.progress-bar-info {
+  background-color: #5bc0de;
+}
+.progress-striped .progress-bar-info {
+  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+}
+.progress-bar-warning {
+  background-color: #f0ad4e;
+}
+.progress-striped .progress-bar-warning {
+  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+}
+.progress-bar-danger {
+  background-color: #d9534f;
+}
+.progress-striped .progress-bar-danger {
+  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+}
+.media {
+  margin-top: 15px;
+}
+.media:first-child {
+  margin-top: 0;
+}
+.media,
+.media-body {
+  zoom: 1;
+  overflow: hidden;
+}
+.media-body {
+  width: 10000px;
+}
+.media-object {
+  display: block;
+}
+.media-object.img-thumbnail {
+  max-width: none;
+}
+.media-right,
+.media > .pull-right {
+  padding-left: 10px;
+}
+.media-left,
+.media > .pull-left {
+  padding-right: 10px;
+}
+.media-left,
+.media-right,
+.media-body {
+  display: table-cell;
+  vertical-align: top;
+}
+.media-middle {
+  vertical-align: middle;
+}
+.media-bottom {
+  vertical-align: bottom;
+}
+.media-heading {
+  margin-top: 0;
+  margin-bottom: 5px;
+}
+.media-list {
+  padding-left: 0;
+  list-style: none;
+}
+.list-group {
+  margin-bottom: 20px;
+  padding-left: 0;
+}
+.list-group-item {
+  position: relative;
+  display: block;
+  padding: 10px 15px;
+  margin-bottom: -1px;
+  background-color: #fff;
+  border: 1px solid #ddd;
+}
+.list-group-item:first-child {
+  border-top-right-radius: 2px;
+  border-top-left-radius: 2px;
+}
+.list-group-item:last-child {
+  margin-bottom: 0;
+  border-bottom-right-radius: 2px;
+  border-bottom-left-radius: 2px;
+}
+a.list-group-item,
+button.list-group-item {
+  color: #555;
+}
+a.list-group-item .list-group-item-heading,
+button.list-group-item .list-group-item-heading {
+  color: #333;
+}
+a.list-group-item:hover,
+button.list-group-item:hover,
+a.list-group-item:focus,
+button.list-group-item:focus {
+  text-decoration: none;
+  color: #555;
+  background-color: #f5f5f5;
+}
+button.list-group-item {
+  width: 100%;
+  text-align: left;
+}
+.list-group-item.disabled,
+.list-group-item.disabled:hover,
+.list-group-item.disabled:focus {
+  background-color: #eeeeee;
+  color: #777777;
+  cursor: not-allowed;
+}
+.list-group-item.disabled .list-group-item-heading,
+.list-group-item.disabled:hover .list-group-item-heading,
+.list-group-item.disabled:focus .list-group-item-heading {
+  color: inherit;
+}
+.list-group-item.disabled .list-group-item-text,
+.list-group-item.disabled:hover .list-group-item-text,
+.list-group-item.disabled:focus .list-group-item-text {
+  color: #777777;
+}
+.list-group-item.active,
+.list-group-item.active:hover,
+.list-group-item.active:focus {
+  z-index: 2;
+  color: #fff;
+  background-color: #337ab7;
+  border-color: #337ab7;
+}
+.list-group-item.active .list-group-item-heading,
+.list-group-item.active:hover .list-group-item-heading,
+.list-group-item.active:focus .list-group-item-heading,
+.list-group-item.active .list-group-item-heading > small,
+.list-group-item.active:hover .list-group-item-heading > small,
+.list-group-item.active:focus .list-group-item-heading > small,
+.list-group-item.active .list-group-item-heading > .small,
+.list-group-item.active:hover .list-group-item-heading > .small,
+.list-group-item.active:focus .list-group-item-heading > .small {
+  color: inherit;
+}
+.list-group-item.active .list-group-item-text,
+.list-group-item.active:hover .list-group-item-text,
+.list-group-item.active:focus .list-group-item-text {
+  color: #c7ddef;
+}
+.list-group-item-success {
+  color: #3c763d;
+  background-color: #dff0d8;
+}
+a.list-group-item-success,
+button.list-group-item-success {
+  color: #3c763d;
+}
+a.list-group-item-success .list-group-item-heading,
+button.list-group-item-success .list-group-item-heading {
+  color: inherit;
+}
+a.list-group-item-success:hover,
+button.list-group-item-success:hover,
+a.list-group-item-success:focus,
+button.list-group-item-success:focus {
+  color: #3c763d;
+  background-color: #d0e9c6;
+}
+a.list-group-item-success.active,
+button.list-group-item-success.active,
+a.list-group-item-success.active:hover,
+button.list-group-item-success.active:hover,
+a.list-group-item-success.active:focus,
+button.list-group-item-success.active:focus {
+  color: #fff;
+  background-color: #3c763d;
+  border-color: #3c763d;
+}
+.list-group-item-info {
+  color: #31708f;
+  background-color: #d9edf7;
+}
+a.list-group-item-info,
+button.list-group-item-info {
+  color: #31708f;
+}
+a.list-group-item-info .list-group-item-heading,
+button.list-group-item-info .list-group-item-heading {
+  color: inherit;
+}
+a.list-group-item-info:hover,
+button.list-group-item-info:hover,
+a.list-group-item-info:focus,
+button.list-group-item-info:focus {
+  color: #31708f;
+  background-color: #c4e3f3;
+}
+a.list-group-item-info.active,
+button.list-group-item-info.active,
+a.list-group-item-info.active:hover,
+button.list-group-item-info.active:hover,
+a.list-group-item-info.active:focus,
+button.list-group-item-info.active:focus {
+  color: #fff;
+  background-color: #31708f;
+  border-color: #31708f;
+}
+.list-group-item-warning {
+  color: #8a6d3b;
+  background-color: #fcf8e3;
+}
+a.list-group-item-warning,
+button.list-group-item-warning {
+  color: #8a6d3b;
+}
+a.list-group-item-warning .list-group-item-heading,
+button.list-group-item-warning .list-group-item-heading {
+  color: inherit;
+}
+a.list-group-item-warning:hover,
+button.list-group-item-warning:hover,
+a.list-group-item-warning:focus,
+button.list-group-item-warning:focus {
+  color: #8a6d3b;
+  background-color: #faf2cc;
+}
+a.list-group-item-warning.active,
+button.list-group-item-warning.active,
+a.list-group-item-warning.active:hover,
+button.list-group-item-warning.active:hover,
+a.list-group-item-warning.active:focus,
+button.list-group-item-warning.active:focus {
+  color: #fff;
+  background-color: #8a6d3b;
+  border-color: #8a6d3b;
+}
+.list-group-item-danger {
+  color: #a94442;
+  background-color: #f2dede;
+}
+a.list-group-item-danger,
+button.list-group-item-danger {
+  color: #a94442;
+}
+a.list-group-item-danger .list-group-item-heading,
+button.list-group-item-danger .list-group-item-heading {
+  color: inherit;
+}
+a.list-group-item-danger:hover,
+button.list-group-item-danger:hover,
+a.list-group-item-danger:focus,
+button.list-group-item-danger:focus {
+  color: #a94442;
+  background-color: #ebcccc;
+}
+a.list-group-item-danger.active,
+button.list-group-item-danger.active,
+a.list-group-item-danger.active:hover,
+button.list-group-item-danger.active:hover,
+a.list-group-item-danger.active:focus,
+button.list-group-item-danger.active:focus {
+  color: #fff;
+  background-color: #a94442;
+  border-color: #a94442;
+}
+.list-group-item-heading {
+  margin-top: 0;
+  margin-bottom: 5px;
+}
+.list-group-item-text {
+  margin-bottom: 0;
+  line-height: 1.3;
+}
+.panel {
+  margin-bottom: 18px;
+  background-color: #fff;
+  border: 1px solid transparent;
+  border-radius: 2px;
+  -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
+  box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
+}
+.panel-body {
+  padding: 15px;
+}
+.panel-heading {
+  padding: 10px 15px;
+  border-bottom: 1px solid transparent;
+  border-top-right-radius: 1px;
+  border-top-left-radius: 1px;
+}
+.panel-heading > .dropdown .dropdown-toggle {
+  color: inherit;
+}
+.panel-title {
+  margin-top: 0;
+  margin-bottom: 0;
+  font-size: 15px;
+  color: inherit;
+}
+.panel-title > a,
+.panel-title > small,
+.panel-title > .small,
+.panel-title > small > a,
+.panel-title > .small > a {
+  color: inherit;
+}
+.panel-footer {
+  padding: 10px 15px;
+  background-color: #f5f5f5;
+  border-top: 1px solid #ddd;
+  border-bottom-right-radius: 1px;
+  border-bottom-left-radius: 1px;
+}
+.panel > .list-group,
+.panel > .panel-collapse > .list-group {
+  margin-bottom: 0;
+}
+.panel > .list-group .list-group-item,
+.panel > .panel-collapse > .list-group .list-group-item {
+  border-width: 1px 0;
+  border-radius: 0;
+}
+.panel > .list-group:first-child .list-group-item:first-child,
+.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {
+  border-top: 0;
+  border-top-right-radius: 1px;
+  border-top-left-radius: 1px;
+}
+.panel > .list-group:last-child .list-group-item:last-child,
+.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {
+  border-bottom: 0;
+  border-bottom-right-radius: 1px;
+  border-bottom-left-radius: 1px;
+}
+.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {
+  border-top-right-radius: 0;
+  border-top-left-radius: 0;
+}
+.panel-heading + .list-group .list-group-item:first-child {
+  border-top-width: 0;
+}
+.list-group + .panel-footer {
+  border-top-width: 0;
+}
+.panel > .table,
+.panel > .table-responsive > .table,
+.panel > .panel-collapse > .table {
+  margin-bottom: 0;
+}
+.panel > .table caption,
+.panel > .table-responsive > .table caption,
+.panel > .panel-collapse > .table caption {
+  padding-left: 15px;
+  padding-right: 15px;
+}
+.panel > .table:first-child,
+.panel > .table-responsive:first-child > .table:first-child {
+  border-top-right-radius: 1px;
+  border-top-left-radius: 1px;
+}
+.panel > .table:first-child > thead:first-child > tr:first-child,
+.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,
+.panel > .table:first-child > tbody:first-child > tr:first-child,
+.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {
+  border-top-left-radius: 1px;
+  border-top-right-radius: 1px;
+}
+.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,
+.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,
+.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,
+.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,
+.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,
+.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,
+.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,
+.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {
+  border-top-left-radius: 1px;
+}
+.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,
+.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,
+.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,
+.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,
+.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,
+.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,
+.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,
+.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {
+  border-top-right-radius: 1px;
+}
+.panel > .table:last-child,
+.panel > .table-responsive:last-child > .table:last-child {
+  border-bottom-right-radius: 1px;
+  border-bottom-left-radius: 1px;
+}
+.panel > .table:last-child > tbody:last-child > tr:last-child,
+.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,
+.panel > .table:last-child > tfoot:last-child > tr:last-child,
+.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {
+  border-bottom-left-radius: 1px;
+  border-bottom-right-radius: 1px;
+}
+.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,
+.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,
+.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
+.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
+.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,
+.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,
+.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,
+.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {
+  border-bottom-left-radius: 1px;
+}
+.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,
+.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,
+.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
+.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
+.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,
+.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,
+.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,
+.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {
+  border-bottom-right-radius: 1px;
+}
+.panel > .panel-body + .table,
+.panel > .panel-body + .table-responsive,
+.panel > .table + .panel-body,
+.panel > .table-responsive + .panel-body {
+  border-top: 1px solid #ddd;
+}
+.panel > .table > tbody:first-child > tr:first-child th,
+.panel > .table > tbody:first-child > tr:first-child td {
+  border-top: 0;
+}
+.panel > .table-bordered,
+.panel > .table-responsive > .table-bordered {
+  border: 0;
+}
+.panel > .table-bordered > thead > tr > th:first-child,
+.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,
+.panel > .table-bordered > tbody > tr > th:first-child,
+.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,
+.panel > .table-bordered > tfoot > tr > th:first-child,
+.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,
+.panel > .table-bordered > thead > tr > td:first-child,
+.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,
+.panel > .table-bordered > tbody > tr > td:first-child,
+.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,
+.panel > .table-bordered > tfoot > tr > td:first-child,
+.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {
+  border-left: 0;
+}
+.panel > .table-bordered > thead > tr > th:last-child,
+.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,
+.panel > .table-bordered > tbody > tr > th:last-child,
+.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,
+.panel > .table-bordered > tfoot > tr > th:last-child,
+.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,
+.panel > .table-bordered > thead > tr > td:last-child,
+.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,
+.panel > .table-bordered > tbody > tr > td:last-child,
+.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,
+.panel > .table-bordered > tfoot > tr > td:last-child,
+.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {
+  border-right: 0;
+}
+.panel > .table-bordered > thead > tr:first-child > td,
+.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,
+.panel > .table-bordered > tbody > tr:first-child > td,
+.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,
+.panel > .table-bordered > thead > tr:first-child > th,
+.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,
+.panel > .table-bordered > tbody > tr:first-child > th,
+.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {
+  border-bottom: 0;
+}
+.panel > .table-bordered > tbody > tr:last-child > td,
+.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,
+.panel > .table-bordered > tfoot > tr:last-child > td,
+.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,
+.panel > .table-bordered > tbody > tr:last-child > th,
+.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,
+.panel > .table-bordered > tfoot > tr:last-child > th,
+.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {
+  border-bottom: 0;
+}
+.panel > .table-responsive {
+  border: 0;
+  margin-bottom: 0;
+}
+.panel-group {
+  margin-bottom: 18px;
+}
+.panel-group .panel {
+  margin-bottom: 0;
+  border-radius: 2px;
+}
+.panel-group .panel + .panel {
+  margin-top: 5px;
+}
+.panel-group .panel-heading {
+  border-bottom: 0;
+}
+.panel-group .panel-heading + .panel-collapse > .panel-body,
+.panel-group .panel-heading + .panel-collapse > .list-group {
+  border-top: 1px solid #ddd;
+}
+.panel-group .panel-footer {
+  border-top: 0;
+}
+.panel-group .panel-footer + .panel-collapse .panel-body {
+  border-bottom: 1px solid #ddd;
+}
+.panel-default {
+  border-color: #ddd;
+}
+.panel-default > .panel-heading {
+  color: #333333;
+  background-color: #f5f5f5;
+  border-color: #ddd;
+}
+.panel-default > .panel-heading + .panel-collapse > .panel-body {
+  border-top-color: #ddd;
+}
+.panel-default > .panel-heading .badge {
+  color: #f5f5f5;
+  background-color: #333333;
+}
+.panel-default > .panel-footer + .panel-collapse > .panel-body {
+  border-bottom-color: #ddd;
+}
+.panel-primary {
+  border-color: #337ab7;
+}
+.panel-primary > .panel-heading {
+  color: #fff;
+  background-color: #337ab7;
+  border-color: #337ab7;
+}
+.panel-primary > .panel-heading + .panel-collapse > .panel-body {
+  border-top-color: #337ab7;
+}
+.panel-primary > .panel-heading .badge {
+  color: #337ab7;
+  background-color: #fff;
+}
+.panel-primary > .panel-footer + .panel-collapse > .panel-body {
+  border-bottom-color: #337ab7;
+}
+.panel-success {
+  border-color: #d6e9c6;
+}
+.panel-success > .panel-heading {
+  color: #3c763d;
+  background-color: #dff0d8;
+  border-color: #d6e9c6;
+}
+.panel-success > .panel-heading + .panel-collapse > .panel-body {
+  border-top-color: #d6e9c6;
+}
+.panel-success > .panel-heading .badge {
+  color: #dff0d8;
+  background-color: #3c763d;
+}
+.panel-success > .panel-footer + .panel-collapse > .panel-body {
+  border-bottom-color: #d6e9c6;
+}
+.panel-info {
+  border-color: #bce8f1;
+}
+.panel-info > .panel-heading {
+  color: #31708f;
+  background-color: #d9edf7;
+  border-color: #bce8f1;
+}
+.panel-info > .panel-heading + .panel-collapse > .panel-body {
+  border-top-color: #bce8f1;
+}
+.panel-info > .panel-heading .badge {
+  color: #d9edf7;
+  background-color: #31708f;
+}
+.panel-info > .panel-footer + .panel-collapse > .panel-body {
+  border-bottom-color: #bce8f1;
+}
+.panel-warning {
+  border-color: #faebcc;
+}
+.panel-warning > .panel-heading {
+  color: #8a6d3b;
+  background-color: #fcf8e3;
+  border-color: #faebcc;
+}
+.panel-warning > .panel-heading + .panel-collapse > .panel-body {
+  border-top-color: #faebcc;
+}
+.panel-warning > .panel-heading .badge {
+  color: #fcf8e3;
+  background-color: #8a6d3b;
+}
+.panel-warning > .panel-footer + .panel-collapse > .panel-body {
+  border-bottom-color: #faebcc;
+}
+.panel-danger {
+  border-color: #ebccd1;
+}
+.panel-danger > .panel-heading {
+  color: #a94442;
+  background-color: #f2dede;
+  border-color: #ebccd1;
+}
+.panel-danger > .panel-heading + .panel-collapse > .panel-body {
+  border-top-color: #ebccd1;
+}
+.panel-danger > .panel-heading .badge {
+  color: #f2dede;
+  background-color: #a94442;
+}
+.panel-danger > .panel-footer + .panel-collapse > .panel-body {
+  border-bottom-color: #ebccd1;
+}
+.embed-responsive {
+  position: relative;
+  display: block;
+  height: 0;
+  padding: 0;
+  overflow: hidden;
+}
+.embed-responsive .embed-responsive-item,
+.embed-responsive iframe,
+.embed-responsive embed,
+.embed-responsive object,
+.embed-responsive video {
+  position: absolute;
+  top: 0;
+  left: 0;
+  bottom: 0;
+  height: 100%;
+  width: 100%;
+  border: 0;
+}
+.embed-responsive-16by9 {
+  padding-bottom: 56.25%;
+}
+.embed-responsive-4by3 {
+  padding-bottom: 75%;
+}
+.well {
+  min-height: 20px;
+  padding: 19px;
+  margin-bottom: 20px;
+  background-color: #f5f5f5;
+  border: 1px solid #e3e3e3;
+  border-radius: 2px;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
+  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
+}
+.well blockquote {
+  border-color: #ddd;
+  border-color: rgba(0, 0, 0, 0.15);
+}
+.well-lg {
+  padding: 24px;
+  border-radius: 3px;
+}
+.well-sm {
+  padding: 9px;
+  border-radius: 1px;
+}
+.close {
+  float: right;
+  font-size: 19.5px;
+  font-weight: bold;
+  line-height: 1;
+  color: #000;
+  text-shadow: 0 1px 0 #fff;
+  opacity: 0.2;
+  filter: alpha(opacity=20);
+}
+.close:hover,
+.close:focus {
+  color: #000;
+  text-decoration: none;
+  cursor: pointer;
+  opacity: 0.5;
+  filter: alpha(opacity=50);
+}
+button.close {
+  padding: 0;
+  cursor: pointer;
+  background: transparent;
+  border: 0;
+  -webkit-appearance: none;
+}
+.modal-open {
+  overflow: hidden;
+}
+.modal {
+  display: none;
+  overflow: hidden;
+  position: fixed;
+  top: 0;
+  right: 0;
+  bottom: 0;
+  left: 0;
+  z-index: 1050;
+  -webkit-overflow-scrolling: touch;
+  outline: 0;
+}
+.modal.fade .modal-dialog {
+  -webkit-transform: translate(0, -25%);
+  -ms-transform: translate(0, -25%);
+  -o-transform: translate(0, -25%);
+  transform: translate(0, -25%);
+  -webkit-transition: -webkit-transform 0.3s ease-out;
+  -moz-transition: -moz-transform 0.3s ease-out;
+  -o-transition: -o-transform 0.3s ease-out;
+  transition: transform 0.3s ease-out;
+}
+.modal.in .modal-dialog {
+  -webkit-transform: translate(0, 0);
+  -ms-transform: translate(0, 0);
+  -o-transform: translate(0, 0);
+  transform: translate(0, 0);
+}
+.modal-open .modal {
+  overflow-x: hidden;
+  overflow-y: auto;
+}
+.modal-dialog {
+  position: relative;
+  width: auto;
+  margin: 10px;
+}
+.modal-content {
+  position: relative;
+  background-color: #fff;
+  border: 1px solid #999;
+  border: 1px solid rgba(0, 0, 0, 0.2);
+  border-radius: 3px;
+  -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
+  box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
+  background-clip: padding-box;
+  outline: 0;
+}
+.modal-backdrop {
+  position: fixed;
+  top: 0;
+  right: 0;
+  bottom: 0;
+  left: 0;
+  z-index: 1040;
+  background-color: #000;
+}
+.modal-backdrop.fade {
+  opacity: 0;
+  filter: alpha(opacity=0);
+}
+.modal-backdrop.in {
+  opacity: 0.5;
+  filter: alpha(opacity=50);
+}
+.modal-header {
+  padding: 15px;
+  border-bottom: 1px solid #e5e5e5;
+}
+.modal-header .close {
+  margin-top: -2px;
+}
+.modal-title {
+  margin: 0;
+  line-height: 1.42857143;
+}
+.modal-body {
+  position: relative;
+  padding: 15px;
+}
+.modal-footer {
+  padding: 15px;
+  text-align: right;
+  border-top: 1px solid #e5e5e5;
+}
+.modal-footer .btn + .btn {
+  margin-left: 5px;
+  margin-bottom: 0;
+}
+.modal-footer .btn-group .btn + .btn {
+  margin-left: -1px;
+}
+.modal-footer .btn-block + .btn-block {
+  margin-left: 0;
+}
+.modal-scrollbar-measure {
+  position: absolute;
+  top: -9999px;
+  width: 50px;
+  height: 50px;
+  overflow: scroll;
+}
+@media (min-width: 768px) {
+  .modal-dialog {
+    width: 600px;
+    margin: 30px auto;
+  }
+  .modal-content {
+    -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
+    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
+  }
+  .modal-sm {
+    width: 300px;
+  }
+}
+@media (min-width: 992px) {
+  .modal-lg {
+    width: 900px;
+  }
+}
+.tooltip {
+  position: absolute;
+  z-index: 1070;
+  display: block;
+  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
+  font-style: normal;
+  font-weight: normal;
+  letter-spacing: normal;
+  line-break: auto;
+  line-height: 1.42857143;
+  text-align: left;
+  text-align: start;
+  text-decoration: none;
+  text-shadow: none;
+  text-transform: none;
+  white-space: normal;
+  word-break: normal;
+  word-spacing: normal;
+  word-wrap: normal;
+  font-size: 12px;
+  opacity: 0;
+  filter: alpha(opacity=0);
+}
+.tooltip.in {
+  opacity: 0.9;
+  filter: alpha(opacity=90);
+}
+.tooltip.top {
+  margin-top: -3px;
+  padding: 5px 0;
+}
+.tooltip.right {
+  margin-left: 3px;
+  padding: 0 5px;
+}
+.tooltip.bottom {
+  margin-top: 3px;
+  padding: 5px 0;
+}
+.tooltip.left {
+  margin-left: -3px;
+  padding: 0 5px;
+}
+.tooltip-inner {
+  max-width: 200px;
+  padding: 3px 8px;
+  color: #fff;
+  text-align: center;
+  background-color: #000;
+  border-radius: 2px;
+}
+.tooltip-arrow {
+  position: absolute;
+  width: 0;
+  height: 0;
+  border-color: transparent;
+  border-style: solid;
+}
+.tooltip.top .tooltip-arrow {
+  bottom: 0;
+  left: 50%;
+  margin-left: -5px;
+  border-width: 5px 5px 0;
+  border-top-color: #000;
+}
+.tooltip.top-left .tooltip-arrow {
+  bottom: 0;
+  right: 5px;
+  margin-bottom: -5px;
+  border-width: 5px 5px 0;
+  border-top-color: #000;
+}
+.tooltip.top-right .tooltip-arrow {
+  bottom: 0;
+  left: 5px;
+  margin-bottom: -5px;
+  border-width: 5px 5px 0;
+  border-top-color: #000;
+}
+.tooltip.right .tooltip-arrow {
+  top: 50%;
+  left: 0;
+  margin-top: -5px;
+  border-width: 5px 5px 5px 0;
+  border-right-color: #000;
+}
+.tooltip.left .tooltip-arrow {
+  top: 50%;
+  right: 0;
+  margin-top: -5px;
+  border-width: 5px 0 5px 5px;
+  border-left-color: #000;
+}
+.tooltip.bottom .tooltip-arrow {
+  top: 0;
+  left: 50%;
+  margin-left: -5px;
+  border-width: 0 5px 5px;
+  border-bottom-color: #000;
+}
+.tooltip.bottom-left .tooltip-arrow {
+  top: 0;
+  right: 5px;
+  margin-top: -5px;
+  border-width: 0 5px 5px;
+  border-bottom-color: #000;
+}
+.tooltip.bottom-right .tooltip-arrow {
+  top: 0;
+  left: 5px;
+  margin-top: -5px;
+  border-width: 0 5px 5px;
+  border-bottom-color: #000;
+}
+.popover {
+  position: absolute;
+  top: 0;
+  left: 0;
+  z-index: 1060;
+  display: none;
+  max-width: 276px;
+  padding: 1px;
+  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
+  font-style: normal;
+  font-weight: normal;
+  letter-spacing: normal;
+  line-break: auto;
+  line-height: 1.42857143;
+  text-align: left;
+  text-align: start;
+  text-decoration: none;
+  text-shadow: none;
+  text-transform: none;
+  white-space: normal;
+  word-break: normal;
+  word-spacing: normal;
+  word-wrap: normal;
+  font-size: 13px;
+  background-color: #fff;
+  background-clip: padding-box;
+  border: 1px solid #ccc;
+  border: 1px solid rgba(0, 0, 0, 0.2);
+  border-radius: 3px;
+  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
+  box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
+}
+.popover.top {
+  margin-top: -10px;
+}
+.popover.right {
+  margin-left: 10px;
+}
+.popover.bottom {
+  margin-top: 10px;
+}
+.popover.left {
+  margin-left: -10px;
+}
+.popover-title {
+  margin: 0;
+  padding: 8px 14px;
+  font-size: 13px;
+  background-color: #f7f7f7;
+  border-bottom: 1px solid #ebebeb;
+  border-radius: 2px 2px 0 0;
+}
+.popover-content {
+  padding: 9px 14px;
+}
+.popover > .arrow,
+.popover > .arrow:after {
+  position: absolute;
+  display: block;
+  width: 0;
+  height: 0;
+  border-color: transparent;
+  border-style: solid;
+}
+.popover > .arrow {
+  border-width: 11px;
+}
+.popover > .arrow:after {
+  border-width: 10px;
+  content: "";
+}
+.popover.top > .arrow {
+  left: 50%;
+  margin-left: -11px;
+  border-bottom-width: 0;
+  border-top-color: #999999;
+  border-top-color: rgba(0, 0, 0, 0.25);
+  bottom: -11px;
+}
+.popover.top > .arrow:after {
+  content: " ";
+  bottom: 1px;
+  margin-left: -10px;
+  border-bottom-width: 0;
+  border-top-color: #fff;
+}
+.popover.right > .arrow {
+  top: 50%;
+  left: -11px;
+  margin-top: -11px;
+  border-left-width: 0;
+  border-right-color: #999999;
+  border-right-color: rgba(0, 0, 0, 0.25);
+}
+.popover.right > .arrow:after {
+  content: " ";
+  left: 1px;
+  bottom: -10px;
+  border-left-width: 0;
+  border-right-color: #fff;
+}
+.popover.bottom > .arrow {
+  left: 50%;
+  margin-left: -11px;
+  border-top-width: 0;
+  border-bottom-color: #999999;
+  border-bottom-color: rgba(0, 0, 0, 0.25);
+  top: -11px;
+}
+.popover.bottom > .arrow:after {
+  content: " ";
+  top: 1px;
+  margin-left: -10px;
+  border-top-width: 0;
+  border-bottom-color: #fff;
+}
+.popover.left > .arrow {
+  top: 50%;
+  right: -11px;
+  margin-top: -11px;
+  border-right-width: 0;
+  border-left-color: #999999;
+  border-left-color: rgba(0, 0, 0, 0.25);
+}
+.popover.left > .arrow:after {
+  content: " ";
+  right: 1px;
+  border-right-width: 0;
+  border-left-color: #fff;
+  bottom: -10px;
+}
+.carousel {
+  position: relative;
+}
+.carousel-inner {
+  position: relative;
+  overflow: hidden;
+  width: 100%;
+}
+.carousel-inner > .item {
+  display: none;
+  position: relative;
+  -webkit-transition: 0.6s ease-in-out left;
+  -o-transition: 0.6s ease-in-out left;
+  transition: 0.6s ease-in-out left;
+}
+.carousel-inner > .item > img,
+.carousel-inner > .item > a > img {
+  line-height: 1;
+}
+@media all and (transform-3d), (-webkit-transform-3d) {
+  .carousel-inner > .item {
+    -webkit-transition: -webkit-transform 0.6s ease-in-out;
+    -moz-transition: -moz-transform 0.6s ease-in-out;
+    -o-transition: -o-transform 0.6s ease-in-out;
+    transition: transform 0.6s ease-in-out;
+    -webkit-backface-visibility: hidden;
+    -moz-backface-visibility: hidden;
+    backface-visibility: hidden;
+    -webkit-perspective: 1000px;
+    -moz-perspective: 1000px;
+    perspective: 1000px;
+  }
+  .carousel-inner > .item.next,
+  .carousel-inner > .item.active.right {
+    -webkit-transform: translate3d(100%, 0, 0);
+    transform: translate3d(100%, 0, 0);
+    left: 0;
+  }
+  .carousel-inner > .item.prev,
+  .carousel-inner > .item.active.left {
+    -webkit-transform: translate3d(-100%, 0, 0);
+    transform: translate3d(-100%, 0, 0);
+    left: 0;
+  }
+  .carousel-inner > .item.next.left,
+  .carousel-inner > .item.prev.right,
+  .carousel-inner > .item.active {
+    -webkit-transform: translate3d(0, 0, 0);
+    transform: translate3d(0, 0, 0);
+    left: 0;
+  }
+}
+.carousel-inner > .active,
+.carousel-inner > .next,
+.carousel-inner > .prev {
+  display: block;
+}
+.carousel-inner > .active {
+  left: 0;
+}
+.carousel-inner > .next,
+.carousel-inner > .prev {
+  position: absolute;
+  top: 0;
+  width: 100%;
+}
+.carousel-inner > .next {
+  left: 100%;
+}
+.carousel-inner > .prev {
+  left: -100%;
+}
+.carousel-inner > .next.left,
+.carousel-inner > .prev.right {
+  left: 0;
+}
+.carousel-inner > .active.left {
+  left: -100%;
+}
+.carousel-inner > .active.right {
+  left: 100%;
+}
+.carousel-control {
+  position: absolute;
+  top: 0;
+  left: 0;
+  bottom: 0;
+  width: 15%;
+  opacity: 0.5;
+  filter: alpha(opacity=50);
+  font-size: 20px;
+  color: #fff;
+  text-align: center;
+  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
+  background-color: rgba(0, 0, 0, 0);
+}
+.carousel-control.left {
+  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
+  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
+  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
+  background-repeat: repeat-x;
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);
+}
+.carousel-control.right {
+  left: auto;
+  right: 0;
+  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
+  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
+  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
+  background-repeat: repeat-x;
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);
+}
+.carousel-control:hover,
+.carousel-control:focus {
+  outline: 0;
+  color: #fff;
+  text-decoration: none;
+  opacity: 0.9;
+  filter: alpha(opacity=90);
+}
+.carousel-control .icon-prev,
+.carousel-control .icon-next,
+.carousel-control .glyphicon-chevron-left,
+.carousel-control .glyphicon-chevron-right {
+  position: absolute;
+  top: 50%;
+  margin-top: -10px;
+  z-index: 5;
+  display: inline-block;
+}
+.carousel-control .icon-prev,
+.carousel-control .glyphicon-chevron-left {
+  left: 50%;
+  margin-left: -10px;
+}
+.carousel-control .icon-next,
+.carousel-control .glyphicon-chevron-right {
+  right: 50%;
+  margin-right: -10px;
+}
+.carousel-control .icon-prev,
+.carousel-control .icon-next {
+  width: 20px;
+  height: 20px;
+  line-height: 1;
+  font-family: serif;
+}
+.carousel-control .icon-prev:before {
+  content: '\2039';
+}
+.carousel-control .icon-next:before {
+  content: '\203a';
+}
+.carousel-indicators {
+  position: absolute;
+  bottom: 10px;
+  left: 50%;
+  z-index: 15;
+  width: 60%;
+  margin-left: -30%;
+  padding-left: 0;
+  list-style: none;
+  text-align: center;
+}
+.carousel-indicators li {
+  display: inline-block;
+  width: 10px;
+  height: 10px;
+  margin: 1px;
+  text-indent: -999px;
+  border: 1px solid #fff;
+  border-radius: 10px;
+  cursor: pointer;
+  background-color: #000 \9;
+  background-color: rgba(0, 0, 0, 0);
+}
+.carousel-indicators .active {
+  margin: 0;
+  width: 12px;
+  height: 12px;
+  background-color: #fff;
+}
+.carousel-caption {
+  position: absolute;
+  left: 15%;
+  right: 15%;
+  bottom: 20px;
+  z-index: 10;
+  padding-top: 20px;
+  padding-bottom: 20px;
+  color: #fff;
+  text-align: center;
+  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
+}
+.carousel-caption .btn {
+  text-shadow: none;
+}
+@media screen and (min-width: 768px) {
+  .carousel-control .glyphicon-chevron-left,
+  .carousel-control .glyphicon-chevron-right,
+  .carousel-control .icon-prev,
+  .carousel-control .icon-next {
+    width: 30px;
+    height: 30px;
+    margin-top: -10px;
+    font-size: 30px;
+  }
+  .carousel-control .glyphicon-chevron-left,
+  .carousel-control .icon-prev {
+    margin-left: -10px;
+  }
+  .carousel-control .glyphicon-chevron-right,
+  .carousel-control .icon-next {
+    margin-right: -10px;
+  }
+  .carousel-caption {
+    left: 20%;
+    right: 20%;
+    padding-bottom: 30px;
+  }
+  .carousel-indicators {
+    bottom: 20px;
+  }
+}
+.clearfix:before,
+.clearfix:after,
+.dl-horizontal dd:before,
+.dl-horizontal dd:after,
+.container:before,
+.container:after,
+.container-fluid:before,
+.container-fluid:after,
+.row:before,
+.row:after,
+.form-horizontal .form-group:before,
+.form-horizontal .form-group:after,
+.btn-toolbar:before,
+.btn-toolbar:after,
+.btn-group-vertical > .btn-group:before,
+.btn-group-vertical > .btn-group:after,
+.nav:before,
+.nav:after,
+.navbar:before,
+.navbar:after,
+.navbar-header:before,
+.navbar-header:after,
+.navbar-collapse:before,
+.navbar-collapse:after,
+.pager:before,
+.pager:after,
+.panel-body:before,
+.panel-body:after,
+.modal-header:before,
+.modal-header:after,
+.modal-footer:before,
+.modal-footer:after,
+.item_buttons:before,
+.item_buttons:after {
+  content: " ";
+  display: table;
+}
+.clearfix:after,
+.dl-horizontal dd:after,
+.container:after,
+.container-fluid:after,
+.row:after,
+.form-horizontal .form-group:after,
+.btn-toolbar:after,
+.btn-group-vertical > .btn-group:after,
+.nav:after,
+.navbar:after,
+.navbar-header:after,
+.navbar-collapse:after,
+.pager:after,
+.panel-body:after,
+.modal-header:after,
+.modal-footer:after,
+.item_buttons:after {
+  clear: both;
+}
+.center-block {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+.pull-right {
+  float: right !important;
+}
+.pull-left {
+  float: left !important;
+}
+.hide {
+  display: none !important;
+}
+.show {
+  display: block !important;
+}
+.invisible {
+  visibility: hidden;
+}
+.text-hide {
+  font: 0/0 a;
+  color: transparent;
+  text-shadow: none;
+  background-color: transparent;
+  border: 0;
+}
+.hidden {
+  display: none !important;
+}
+.affix {
+  position: fixed;
+}
+@-ms-viewport {
+  width: device-width;
+}
+.visible-xs,
+.visible-sm,
+.visible-md,
+.visible-lg {
+  display: none !important;
+}
+.visible-xs-block,
+.visible-xs-inline,
+.visible-xs-inline-block,
+.visible-sm-block,
+.visible-sm-inline,
+.visible-sm-inline-block,
+.visible-md-block,
+.visible-md-inline,
+.visible-md-inline-block,
+.visible-lg-block,
+.visible-lg-inline,
+.visible-lg-inline-block {
+  display: none !important;
+}
+@media (max-width: 767px) {
+  .visible-xs {
+    display: block !important;
+  }
+  table.visible-xs {
+    display: table !important;
+  }
+  tr.visible-xs {
+    display: table-row !important;
+  }
+  th.visible-xs,
+  td.visible-xs {
+    display: table-cell !important;
+  }
+}
+@media (max-width: 767px) {
+  .visible-xs-block {
+    display: block !important;
+  }
+}
+@media (max-width: 767px) {
+  .visible-xs-inline {
+    display: inline !important;
+  }
+}
+@media (max-width: 767px) {
+  .visible-xs-inline-block {
+    display: inline-block !important;
+  }
+}
+@media (min-width: 768px) and (max-width: 991px) {
+  .visible-sm {
+    display: block !important;
+  }
+  table.visible-sm {
+    display: table !important;
+  }
+  tr.visible-sm {
+    display: table-row !important;
+  }
+  th.visible-sm,
+  td.visible-sm {
+    display: table-cell !important;
+  }
+}
+@media (min-width: 768px) and (max-width: 991px) {
+  .visible-sm-block {
+    display: block !important;
+  }
+}
+@media (min-width: 768px) and (max-width: 991px) {
+  .visible-sm-inline {
+    display: inline !important;
+  }
+}
+@media (min-width: 768px) and (max-width: 991px) {
+  .visible-sm-inline-block {
+    display: inline-block !important;
+  }
+}
+@media (min-width: 992px) and (max-width: 1199px) {
+  .visible-md {
+    display: block !important;
+  }
+  table.visible-md {
+    display: table !important;
+  }
+  tr.visible-md {
+    display: table-row !important;
+  }
+  th.visible-md,
+  td.visible-md {
+    display: table-cell !important;
+  }
+}
+@media (min-width: 992px) and (max-width: 1199px) {
+  .visible-md-block {
+    display: block !important;
+  }
+}
+@media (min-width: 992px) and (max-width: 1199px) {
+  .visible-md-inline {
+    display: inline !important;
+  }
+}
+@media (min-width: 992px) and (max-width: 1199px) {
+  .visible-md-inline-block {
+    display: inline-block !important;
+  }
+}
+@media (min-width: 1200px) {
+  .visible-lg {
+    display: block !important;
+  }
+  table.visible-lg {
+    display: table !important;
+  }
+  tr.visible-lg {
+    display: table-row !important;
+  }
+  th.visible-lg,
+  td.visible-lg {
+    display: table-cell !important;
+  }
+}
+@media (min-width: 1200px) {
+  .visible-lg-block {
+    display: block !important;
+  }
+}
+@media (min-width: 1200px) {
+  .visible-lg-inline {
+    display: inline !important;
+  }
+}
+@media (min-width: 1200px) {
+  .visible-lg-inline-block {
+    display: inline-block !important;
+  }
+}
+@media (max-width: 767px) {
+  .hidden-xs {
+    display: none !important;
+  }
+}
+@media (min-width: 768px) and (max-width: 991px) {
+  .hidden-sm {
+    display: none !important;
+  }
+}
+@media (min-width: 992px) and (max-width: 1199px) {
+  .hidden-md {
+    display: none !important;
+  }
+}
+@media (min-width: 1200px) {
+  .hidden-lg {
+    display: none !important;
+  }
+}
+.visible-print {
+  display: none !important;
+}
+@media print {
+  .visible-print {
+    display: block !important;
+  }
+  table.visible-print {
+    display: table !important;
+  }
+  tr.visible-print {
+    display: table-row !important;
+  }
+  th.visible-print,
+  td.visible-print {
+    display: table-cell !important;
+  }
+}
+.visible-print-block {
+  display: none !important;
+}
+@media print {
+  .visible-print-block {
+    display: block !important;
+  }
+}
+.visible-print-inline {
+  display: none !important;
+}
+@media print {
+  .visible-print-inline {
+    display: inline !important;
+  }
+}
+.visible-print-inline-block {
+  display: none !important;
+}
+@media print {
+  .visible-print-inline-block {
+    display: inline-block !important;
+  }
+}
+@media print {
+  .hidden-print {
+    display: none !important;
+  }
+}
+/*!
+*
+* Font Awesome
+*
+*/
+/*!
+ *  Font Awesome 4.7.0 by @davegandy - http://fontawesome.io - @fontawesome
+ *  License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)
+ */
+/* FONT PATH
+ * -------------------------- */
+@font-face {
+  font-family: 'FontAwesome';
+  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?v=4.7.0');
+  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.7.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0') format('woff2'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.7.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.7.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.7.0#fontawesomeregular') format('svg');
+  font-weight: normal;
+  font-style: normal;
+}
+.fa {
+  display: inline-block;
+  font: normal normal normal 14px/1 FontAwesome;
+  font-size: inherit;
+  text-rendering: auto;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+}
+/* makes the font 33% larger relative to the icon container */
+.fa-lg {
+  font-size: 1.33333333em;
+  line-height: 0.75em;
+  vertical-align: -15%;
+}
+.fa-2x {
+  font-size: 2em;
+}
+.fa-3x {
+  font-size: 3em;
+}
+.fa-4x {
+  font-size: 4em;
+}
+.fa-5x {
+  font-size: 5em;
+}
+.fa-fw {
+  width: 1.28571429em;
+  text-align: center;
+}
+.fa-ul {
+  padding-left: 0;
+  margin-left: 2.14285714em;
+  list-style-type: none;
+}
+.fa-ul > li {
+  position: relative;
+}
+.fa-li {
+  position: absolute;
+  left: -2.14285714em;
+  width: 2.14285714em;
+  top: 0.14285714em;
+  text-align: center;
+}
+.fa-li.fa-lg {
+  left: -1.85714286em;
+}
+.fa-border {
+  padding: .2em .25em .15em;
+  border: solid 0.08em #eee;
+  border-radius: .1em;
+}
+.fa-pull-left {
+  float: left;
+}
+.fa-pull-right {
+  float: right;
+}
+.fa.fa-pull-left {
+  margin-right: .3em;
+}
+.fa.fa-pull-right {
+  margin-left: .3em;
+}
+/* Deprecated as of 4.4.0 */
+.pull-right {
+  float: right;
+}
+.pull-left {
+  float: left;
+}
+.fa.pull-left {
+  margin-right: .3em;
+}
+.fa.pull-right {
+  margin-left: .3em;
+}
+.fa-spin {
+  -webkit-animation: fa-spin 2s infinite linear;
+  animation: fa-spin 2s infinite linear;
+}
+.fa-pulse {
+  -webkit-animation: fa-spin 1s infinite steps(8);
+  animation: fa-spin 1s infinite steps(8);
+}
+@-webkit-keyframes fa-spin {
+  0% {
+    -webkit-transform: rotate(0deg);
+    transform: rotate(0deg);
+  }
+  100% {
+    -webkit-transform: rotate(359deg);
+    transform: rotate(359deg);
+  }
+}
+@keyframes fa-spin {
+  0% {
+    -webkit-transform: rotate(0deg);
+    transform: rotate(0deg);
+  }
+  100% {
+    -webkit-transform: rotate(359deg);
+    transform: rotate(359deg);
+  }
+}
+.fa-rotate-90 {
+  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=1)";
+  -webkit-transform: rotate(90deg);
+  -ms-transform: rotate(90deg);
+  transform: rotate(90deg);
+}
+.fa-rotate-180 {
+  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2)";
+  -webkit-transform: rotate(180deg);
+  -ms-transform: rotate(180deg);
+  transform: rotate(180deg);
+}
+.fa-rotate-270 {
+  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=3)";
+  -webkit-transform: rotate(270deg);
+  -ms-transform: rotate(270deg);
+  transform: rotate(270deg);
+}
+.fa-flip-horizontal {
+  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1)";
+  -webkit-transform: scale(-1, 1);
+  -ms-transform: scale(-1, 1);
+  transform: scale(-1, 1);
+}
+.fa-flip-vertical {
+  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1)";
+  -webkit-transform: scale(1, -1);
+  -ms-transform: scale(1, -1);
+  transform: scale(1, -1);
+}
+:root .fa-rotate-90,
+:root .fa-rotate-180,
+:root .fa-rotate-270,
+:root .fa-flip-horizontal,
+:root .fa-flip-vertical {
+  filter: none;
+}
+.fa-stack {
+  position: relative;
+  display: inline-block;
+  width: 2em;
+  height: 2em;
+  line-height: 2em;
+  vertical-align: middle;
+}
+.fa-stack-1x,
+.fa-stack-2x {
+  position: absolute;
+  left: 0;
+  width: 100%;
+  text-align: center;
+}
+.fa-stack-1x {
+  line-height: inherit;
+}
+.fa-stack-2x {
+  font-size: 2em;
+}
+.fa-inverse {
+  color: #fff;
+}
+/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
+   readers do not read off random characters that represent icons */
+.fa-glass:before {
+  content: "\f000";
+}
+.fa-music:before {
+  content: "\f001";
+}
+.fa-search:before {
+  content: "\f002";
+}
+.fa-envelope-o:before {
+  content: "\f003";
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+  content: "\f2aa";
+}
+.fa-snapchat:before {
+  content: "\f2ab";
+}
+.fa-snapchat-ghost:before {
+  content: "\f2ac";
+}
+.fa-snapchat-square:before {
+  content: "\f2ad";
+}
+.fa-pied-piper:before {
+  content: "\f2ae";
+}
+.fa-first-order:before {
+  content: "\f2b0";
+}
+.fa-yoast:before {
+  content: "\f2b1";
+}
+.fa-themeisle:before {
+  content: "\f2b2";
+}
+.fa-google-plus-circle:before,
+.fa-google-plus-official:before {
+  content: "\f2b3";
+}
+.fa-fa:before,
+.fa-font-awesome:before {
+  content: "\f2b4";
+}
+.fa-handshake-o:before {
+  content: "\f2b5";
+}
+.fa-envelope-open:before {
+  content: "\f2b6";
+}
+.fa-envelope-open-o:before {
+  content: "\f2b7";
+}
+.fa-linode:before {
+  content: "\f2b8";
+}
+.fa-address-book:before {
+  content: "\f2b9";
+}
+.fa-address-book-o:before {
+  content: "\f2ba";
+}
+.fa-vcard:before,
+.fa-address-card:before {
+  content: "\f2bb";
+}
+.fa-vcard-o:before,
+.fa-address-card-o:before {
+  content: "\f2bc";
+}
+.fa-user-circle:before {
+  content: "\f2bd";
+}
+.fa-user-circle-o:before {
+  content: "\f2be";
+}
+.fa-user-o:before {
+  content: "\f2c0";
+}
+.fa-id-badge:before {
+  content: "\f2c1";
+}
+.fa-drivers-license:before,
+.fa-id-card:before {
+  content: "\f2c2";
+}
+.fa-drivers-license-o:before,
+.fa-id-card-o:before {
+  content: "\f2c3";
+}
+.fa-quora:before {
+  content: "\f2c4";
+}
+.fa-free-code-camp:before {
+  content: "\f2c5";
+}
+.fa-telegram:before {
+  content: "\f2c6";
+}
+.fa-thermometer-4:before,
+.fa-thermometer:before,
+.fa-thermometer-full:before {
+  content: "\f2c7";
+}
+.fa-thermometer-3:before,
+.fa-thermometer-three-quarters:before {
+  content: "\f2c8";
+}
+.fa-thermometer-2:before,
+.fa-thermometer-half:before {
+  content: "\f2c9";
+}
+.fa-thermometer-1:before,
+.fa-thermometer-quarter:before {
+  content: "\f2ca";
+}
+.fa-thermometer-0:before,
+.fa-thermometer-empty:before {
+  content: "\f2cb";
+}
+.fa-shower:before {
+  content: "\f2cc";
+}
+.fa-bathtub:before,
+.fa-s15:before,
+.fa-bath:before {
+  content: "\f2cd";
+}
+.fa-podcast:before {
+  content: "\f2ce";
+}
+.fa-window-maximize:before {
+  content: "\f2d0";
+}
+.fa-window-minimize:before {
+  content: "\f2d1";
+}
+.fa-window-restore:before {
+  content: "\f2d2";
+}
+.fa-times-rectangle:before,
+.fa-window-close:before {
+  content: "\f2d3";
+}
+.fa-times-rectangle-o:before,
+.fa-window-close-o:before {
+  content: "\f2d4";
+}
+.fa-bandcamp:before {
+  content: "\f2d5";
+}
+.fa-grav:before {
+  content: "\f2d6";
+}
+.fa-etsy:before {
+  content: "\f2d7";
+}
+.fa-imdb:before {
+  content: "\f2d8";
+}
+.fa-ravelry:before {
+  content: "\f2d9";
+}
+.fa-eercast:before {
+  content: "\f2da";
+}
+.fa-microchip:before {
+  content: "\f2db";
+}
+.fa-snowflake-o:before {
+  content: "\f2dc";
+}
+.fa-superpowers:before {
+  content: "\f2dd";
+}
+.fa-wpexplorer:before {
+  content: "\f2de";
+}
+.fa-meetup:before {
+  content: "\f2e0";
+}
+.sr-only {
+  position: absolute;
+  width: 1px;
+  height: 1px;
+  padding: 0;
+  margin: -1px;
+  overflow: hidden;
+  clip: rect(0, 0, 0, 0);
+  border: 0;
+}
+.sr-only-focusable:active,
+.sr-only-focusable:focus {
+  position: static;
+  width: auto;
+  height: auto;
+  margin: 0;
+  overflow: visible;
+  clip: auto;
+}
+.sr-only-focusable:active,
+.sr-only-focusable:focus {
+  position: static;
+  width: auto;
+  height: auto;
+  margin: 0;
+  overflow: visible;
+  clip: auto;
+}
+/*!
+*
+* IPython base
+*
+*/
+.modal.fade .modal-dialog {
+  -webkit-transform: translate(0, 0);
+  -ms-transform: translate(0, 0);
+  -o-transform: translate(0, 0);
+  transform: translate(0, 0);
+}
+code {
+  color: #000;
+}
+pre {
+  font-size: inherit;
+  line-height: inherit;
+}
+label {
+  font-weight: normal;
+}
+/* Make the page background atleast 100% the height of the view port */
+/* Make the page itself atleast 70% the height of the view port */
+.border-box-sizing {
+  box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  -webkit-box-sizing: border-box;
+}
+.corner-all {
+  border-radius: 2px;
+}
+.no-padding {
+  padding: 0px;
+}
+/* Flexible box model classes */
+/* Taken from Alex Russell http://infrequently.org/2009/08/css-3-progress/ */
+/* This file is a compatability layer.  It allows the usage of flexible box 
+model layouts accross multiple browsers, including older browsers.  The newest,
+universal implementation of the flexible box model is used when available (see
+`Modern browsers` comments below).  Browsers that are known to implement this 
+new spec completely include:
+
+    Firefox 28.0+
+    Chrome 29.0+
+    Internet Explorer 11+ 
+    Opera 17.0+
+
+Browsers not listed, including Safari, are supported via the styling under the
+`Old browsers` comments below.
+*/
+.hbox {
+  /* Old browsers */
+  display: -webkit-box;
+  -webkit-box-orient: horizontal;
+  -webkit-box-align: stretch;
+  display: -moz-box;
+  -moz-box-orient: horizontal;
+  -moz-box-align: stretch;
+  display: box;
+  box-orient: horizontal;
+  box-align: stretch;
+  /* Modern browsers */
+  display: flex;
+  flex-direction: row;
+  align-items: stretch;
+}
+.hbox > * {
+  /* Old browsers */
+  -webkit-box-flex: 0;
+  -moz-box-flex: 0;
+  box-flex: 0;
+  /* Modern browsers */
+  flex: none;
+}
+.vbox {
+  /* Old browsers */
+  display: -webkit-box;
+  -webkit-box-orient: vertical;
+  -webkit-box-align: stretch;
+  display: -moz-box;
+  -moz-box-orient: vertical;
+  -moz-box-align: stretch;
+  display: box;
+  box-orient: vertical;
+  box-align: stretch;
+  /* Modern browsers */
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+}
+.vbox > * {
+  /* Old browsers */
+  -webkit-box-flex: 0;
+  -moz-box-flex: 0;
+  box-flex: 0;
+  /* Modern browsers */
+  flex: none;
+}
+.hbox.reverse,
+.vbox.reverse,
+.reverse {
+  /* Old browsers */
+  -webkit-box-direction: reverse;
+  -moz-box-direction: reverse;
+  box-direction: reverse;
+  /* Modern browsers */
+  flex-direction: row-reverse;
+}
+.hbox.box-flex0,
+.vbox.box-flex0,
+.box-flex0 {
+  /* Old browsers */
+  -webkit-box-flex: 0;
+  -moz-box-flex: 0;
+  box-flex: 0;
+  /* Modern browsers */
+  flex: none;
+  width: auto;
+}
+.hbox.box-flex1,
+.vbox.box-flex1,
+.box-flex1 {
+  /* Old browsers */
+  -webkit-box-flex: 1;
+  -moz-box-flex: 1;
+  box-flex: 1;
+  /* Modern browsers */
+  flex: 1;
+}
+.hbox.box-flex,
+.vbox.box-flex,
+.box-flex {
+  /* Old browsers */
+  /* Old browsers */
+  -webkit-box-flex: 1;
+  -moz-box-flex: 1;
+  box-flex: 1;
+  /* Modern browsers */
+  flex: 1;
+}
+.hbox.box-flex2,
+.vbox.box-flex2,
+.box-flex2 {
+  /* Old browsers */
+  -webkit-box-flex: 2;
+  -moz-box-flex: 2;
+  box-flex: 2;
+  /* Modern browsers */
+  flex: 2;
+}
+.box-group1 {
+  /*  Deprecated */
+  -webkit-box-flex-group: 1;
+  -moz-box-flex-group: 1;
+  box-flex-group: 1;
+}
+.box-group2 {
+  /* Deprecated */
+  -webkit-box-flex-group: 2;
+  -moz-box-flex-group: 2;
+  box-flex-group: 2;
+}
+.hbox.start,
+.vbox.start,
+.start {
+  /* Old browsers */
+  -webkit-box-pack: start;
+  -moz-box-pack: start;
+  box-pack: start;
+  /* Modern browsers */
+  justify-content: flex-start;
+}
+.hbox.end,
+.vbox.end,
+.end {
+  /* Old browsers */
+  -webkit-box-pack: end;
+  -moz-box-pack: end;
+  box-pack: end;
+  /* Modern browsers */
+  justify-content: flex-end;
+}
+.hbox.center,
+.vbox.center,
+.center {
+  /* Old browsers */
+  -webkit-box-pack: center;
+  -moz-box-pack: center;
+  box-pack: center;
+  /* Modern browsers */
+  justify-content: center;
+}
+.hbox.baseline,
+.vbox.baseline,
+.baseline {
+  /* Old browsers */
+  -webkit-box-pack: baseline;
+  -moz-box-pack: baseline;
+  box-pack: baseline;
+  /* Modern browsers */
+  justify-content: baseline;
+}
+.hbox.stretch,
+.vbox.stretch,
+.stretch {
+  /* Old browsers */
+  -webkit-box-pack: stretch;
+  -moz-box-pack: stretch;
+  box-pack: stretch;
+  /* Modern browsers */
+  justify-content: stretch;
+}
+.hbox.align-start,
+.vbox.align-start,
+.align-start {
+  /* Old browsers */
+  -webkit-box-align: start;
+  -moz-box-align: start;
+  box-align: start;
+  /* Modern browsers */
+  align-items: flex-start;
+}
+.hbox.align-end,
+.vbox.align-end,
+.align-end {
+  /* Old browsers */
+  -webkit-box-align: end;
+  -moz-box-align: end;
+  box-align: end;
+  /* Modern browsers */
+  align-items: flex-end;
+}
+.hbox.align-center,
+.vbox.align-center,
+.align-center {
+  /* Old browsers */
+  -webkit-box-align: center;
+  -moz-box-align: center;
+  box-align: center;
+  /* Modern browsers */
+  align-items: center;
+}
+.hbox.align-baseline,
+.vbox.align-baseline,
+.align-baseline {
+  /* Old browsers */
+  -webkit-box-align: baseline;
+  -moz-box-align: baseline;
+  box-align: baseline;
+  /* Modern browsers */
+  align-items: baseline;
+}
+.hbox.align-stretch,
+.vbox.align-stretch,
+.align-stretch {
+  /* Old browsers */
+  -webkit-box-align: stretch;
+  -moz-box-align: stretch;
+  box-align: stretch;
+  /* Modern browsers */
+  align-items: stretch;
+}
+div.error {
+  margin: 2em;
+  text-align: center;
+}
+div.error > h1 {
+  font-size: 500%;
+  line-height: normal;
+}
+div.error > p {
+  font-size: 200%;
+  line-height: normal;
+}
+div.traceback-wrapper {
+  text-align: left;
+  max-width: 800px;
+  margin: auto;
+}
+div.traceback-wrapper pre.traceback {
+  max-height: 600px;
+  overflow: auto;
+}
+/**
+ * Primary styles
+ *
+ * Author: Jupyter Development Team
+ */
+body {
+  background-color: #fff;
+  /* This makes sure that the body covers the entire window and needs to
+       be in a different element than the display: box in wrapper below */
+  position: absolute;
+  left: 0px;
+  right: 0px;
+  top: 0px;
+  bottom: 0px;
+  overflow: visible;
+}
+body > #header {
+  /* Initially hidden to prevent FLOUC */
+  display: none;
+  background-color: #fff;
+  /* Display over codemirror */
+  position: relative;
+  z-index: 100;
+}
+body > #header #header-container {
+  display: flex;
+  flex-direction: row;
+  justify-content: space-between;
+  padding: 5px;
+  padding-bottom: 5px;
+  padding-top: 5px;
+  box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  -webkit-box-sizing: border-box;
+}
+body > #header .header-bar {
+  width: 100%;
+  height: 1px;
+  background: #e7e7e7;
+  margin-bottom: -1px;
+}
+@media print {
+  body > #header {
+    display: none !important;
+  }
+}
+#header-spacer {
+  width: 100%;
+  visibility: hidden;
+}
+@media print {
+  #header-spacer {
+    display: none;
+  }
+}
+#ipython_notebook {
+  padding-left: 0px;
+  padding-top: 1px;
+  padding-bottom: 1px;
+}
+[dir="rtl"] #ipython_notebook {
+  margin-right: 10px;
+  margin-left: 0;
+}
+[dir="rtl"] #ipython_notebook.pull-left {
+  float: right !important;
+  float: right;
+}
+.flex-spacer {
+  flex: 1;
+}
+#noscript {
+  width: auto;
+  padding-top: 16px;
+  padding-bottom: 16px;
+  text-align: center;
+  font-size: 22px;
+  color: red;
+  font-weight: bold;
+}
+#ipython_notebook img {
+  height: 28px;
+}
+#site {
+  width: 100%;
+  display: none;
+  box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  -webkit-box-sizing: border-box;
+  overflow: auto;
+}
+@media print {
+  #site {
+    height: auto !important;
+  }
+}
+/* Smaller buttons */
+.ui-button .ui-button-text {
+  padding: 0.2em 0.8em;
+  font-size: 77%;
+}
+input.ui-button {
+  padding: 0.3em 0.9em;
+}
+span#kernel_logo_widget {
+  margin: 0 10px;
+}
+span#login_widget {
+  float: right;
+}
+[dir="rtl"] span#login_widget {
+  float: left;
+}
+span#login_widget > .button,
+#logout {
+  color: #333;
+  background-color: #fff;
+  border-color: #ccc;
+}
+span#login_widget > .button:focus,
+#logout:focus,
+span#login_widget > .button.focus,
+#logout.focus {
+  color: #333;
+  background-color: #e6e6e6;
+  border-color: #8c8c8c;
+}
+span#login_widget > .button:hover,
+#logout:hover {
+  color: #333;
+  background-color: #e6e6e6;
+  border-color: #adadad;
+}
+span#login_widget > .button:active,
+#logout:active,
+span#login_widget > .button.active,
+#logout.active,
+.open > .dropdown-togglespan#login_widget > .button,
+.open > .dropdown-toggle#logout {
+  color: #333;
+  background-color: #e6e6e6;
+  border-color: #adadad;
+}
+span#login_widget > .button:active:hover,
+#logout:active:hover,
+span#login_widget > .button.active:hover,
+#logout.active:hover,
+.open > .dropdown-togglespan#login_widget > .button:hover,
+.open > .dropdown-toggle#logout:hover,
+span#login_widget > .button:active:focus,
+#logout:active:focus,
+span#login_widget > .button.active:focus,
+#logout.active:focus,
+.open > .dropdown-togglespan#login_widget > .button:focus,
+.open > .dropdown-toggle#logout:focus,
+span#login_widget > .button:active.focus,
+#logout:active.focus,
+span#login_widget > .button.active.focus,
+#logout.active.focus,
+.open > .dropdown-togglespan#login_widget > .button.focus,
+.open > .dropdown-toggle#logout.focus {
+  color: #333;
+  background-color: #d4d4d4;
+  border-color: #8c8c8c;
+}
+span#login_widget > .button:active,
+#logout:active,
+span#login_widget > .button.active,
+#logout.active,
+.open > .dropdown-togglespan#login_widget > .button,
+.open > .dropdown-toggle#logout {
+  background-image: none;
+}
+span#login_widget > .button.disabled:hover,
+#logout.disabled:hover,
+span#login_widget > .button[disabled]:hover,
+#logout[disabled]:hover,
+fieldset[disabled] span#login_widget > .button:hover,
+fieldset[disabled] #logout:hover,
+span#login_widget > .button.disabled:focus,
+#logout.disabled:focus,
+span#login_widget > .button[disabled]:focus,
+#logout[disabled]:focus,
+fieldset[disabled] span#login_widget > .button:focus,
+fieldset[disabled] #logout:focus,
+span#login_widget > .button.disabled.focus,
+#logout.disabled.focus,
+span#login_widget > .button[disabled].focus,
+#logout[disabled].focus,
+fieldset[disabled] span#login_widget > .button.focus,
+fieldset[disabled] #logout.focus {
+  background-color: #fff;
+  border-color: #ccc;
+}
+span#login_widget > .button .badge,
+#logout .badge {
+  color: #fff;
+  background-color: #333;
+}
+.nav-header {
+  text-transform: none;
+}
+#header > span {
+  margin-top: 10px;
+}
+.modal_stretch .modal-dialog {
+  /* Old browsers */
+  display: -webkit-box;
+  -webkit-box-orient: vertical;
+  -webkit-box-align: stretch;
+  display: -moz-box;
+  -moz-box-orient: vertical;
+  -moz-box-align: stretch;
+  display: box;
+  box-orient: vertical;
+  box-align: stretch;
+  /* Modern browsers */
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+  min-height: 80vh;
+}
+.modal_stretch .modal-dialog .modal-body {
+  max-height: calc(100vh - 200px);
+  overflow: auto;
+  flex: 1;
+}
+.modal-header {
+  cursor: move;
+}
+@media (min-width: 768px) {
+  .modal .modal-dialog {
+    width: 700px;
+  }
+}
+@media (min-width: 768px) {
+  select.form-control {
+    margin-left: 12px;
+    margin-right: 12px;
+  }
+}
+/*!
+*
+* IPython auth
+*
+*/
+.center-nav {
+  display: inline-block;
+  margin-bottom: -4px;
+}
+[dir="rtl"] .center-nav form.pull-left {
+  float: right !important;
+  float: right;
+}
+[dir="rtl"] .center-nav .navbar-text {
+  float: right;
+}
+[dir="rtl"] .navbar-inner {
+  text-align: right;
+}
+[dir="rtl"] div.text-left {
+  text-align: right;
+}
+/*!
+*
+* IPython tree view
+*
+*/
+/* We need an invisible input field on top of the sentense*/
+/* "Drag file onto the list ..." */
+.alternate_upload {
+  background-color: none;
+  display: inline;
+}
+.alternate_upload.form {
+  padding: 0;
+  margin: 0;
+}
+.alternate_upload input.fileinput {
+  position: absolute;
+  display: block;
+  width: 100%;
+  height: 100%;
+  overflow: hidden;
+  cursor: pointer;
+  opacity: 0;
+  z-index: 2;
+}
+.alternate_upload .btn-xs > input.fileinput {
+  margin: -1px -5px;
+}
+.alternate_upload .btn-upload {
+  position: relative;
+  height: 22px;
+}
+::-webkit-file-upload-button {
+  cursor: pointer;
+}
+/**
+ * Primary styles
+ *
+ * Author: Jupyter Development Team
+ */
+ul#tabs {
+  margin-bottom: 4px;
+}
+ul#tabs a {
+  padding-top: 6px;
+  padding-bottom: 4px;
+}
+[dir="rtl"] ul#tabs.nav-tabs > li {
+  float: right;
+}
+[dir="rtl"] ul#tabs.nav.nav-tabs {
+  padding-right: 0;
+}
+ul.breadcrumb a:focus,
+ul.breadcrumb a:hover {
+  text-decoration: none;
+}
+ul.breadcrumb i.icon-home {
+  font-size: 16px;
+  margin-right: 4px;
+}
+ul.breadcrumb span {
+  color: #5e5e5e;
+}
+.list_toolbar {
+  padding: 4px 0 4px 0;
+  vertical-align: middle;
+}
+.list_toolbar .tree-buttons {
+  padding-top: 1px;
+}
+[dir="rtl"] .list_toolbar .tree-buttons .pull-right {
+  float: left !important;
+  float: left;
+}
+[dir="rtl"] .list_toolbar .col-sm-4,
+[dir="rtl"] .list_toolbar .col-sm-8 {
+  float: right;
+}
+.dynamic-buttons {
+  padding-top: 3px;
+  display: inline-block;
+}
+.list_toolbar [class*="span"] {
+  min-height: 24px;
+}
+.list_header {
+  font-weight: bold;
+  background-color: #EEE;
+}
+.list_placeholder {
+  font-weight: bold;
+  padding-top: 4px;
+  padding-bottom: 4px;
+  padding-left: 7px;
+  padding-right: 7px;
+}
+.list_container {
+  margin-top: 4px;
+  margin-bottom: 20px;
+  border: 1px solid #ddd;
+  border-radius: 2px;
+}
+.list_container > div {
+  border-bottom: 1px solid #ddd;
+}
+.list_container > div:hover .list-item {
+  background-color: red;
+}
+.list_container > div:last-child {
+  border: none;
+}
+.list_item:hover .list_item {
+  background-color: #ddd;
+}
+.list_item a {
+  text-decoration: none;
+}
+.list_item:hover {
+  background-color: #fafafa;
+}
+.list_header > div,
+.list_item > div {
+  padding-top: 4px;
+  padding-bottom: 4px;
+  padding-left: 7px;
+  padding-right: 7px;
+  line-height: 22px;
+}
+.list_header > div input,
+.list_item > div input {
+  margin-right: 7px;
+  margin-left: 14px;
+  vertical-align: text-bottom;
+  line-height: 22px;
+  position: relative;
+  top: -1px;
+}
+.list_header > div .item_link,
+.list_item > div .item_link {
+  margin-left: -1px;
+  vertical-align: baseline;
+  line-height: 22px;
+}
+[dir="rtl"] .list_item > div input {
+  margin-right: 0;
+}
+.new-file input[type=checkbox] {
+  visibility: hidden;
+}
+.item_name {
+  line-height: 22px;
+  height: 24px;
+}
+.item_icon {
+  font-size: 14px;
+  color: #5e5e5e;
+  margin-right: 7px;
+  margin-left: 7px;
+  line-height: 22px;
+  vertical-align: baseline;
+}
+.item_modified {
+  margin-right: 7px;
+  margin-left: 7px;
+}
+[dir="rtl"] .item_modified.pull-right {
+  float: left !important;
+  float: left;
+}
+.item_buttons {
+  line-height: 1em;
+  margin-left: -5px;
+}
+.item_buttons .btn,
+.item_buttons .btn-group,
+.item_buttons .input-group {
+  float: left;
+}
+.item_buttons > .btn,
+.item_buttons > .btn-group,
+.item_buttons > .input-group {
+  margin-left: 5px;
+}
+.item_buttons .btn {
+  min-width: 13ex;
+}
+.item_buttons .running-indicator {
+  padding-top: 4px;
+  color: #5cb85c;
+}
+.item_buttons .kernel-name {
+  padding-top: 4px;
+  color: #5bc0de;
+  margin-right: 7px;
+  float: left;
+}
+[dir="rtl"] .item_buttons.pull-right {
+  float: left !important;
+  float: left;
+}
+[dir="rtl"] .item_buttons .kernel-name {
+  margin-left: 7px;
+  float: right;
+}
+.toolbar_info {
+  height: 24px;
+  line-height: 24px;
+}
+.list_item input:not([type=checkbox]) {
+  padding-top: 3px;
+  padding-bottom: 3px;
+  height: 22px;
+  line-height: 14px;
+  margin: 0px;
+}
+.highlight_text {
+  color: blue;
+}
+#project_name {
+  display: inline-block;
+  padding-left: 7px;
+  margin-left: -2px;
+}
+#project_name > .breadcrumb {
+  padding: 0px;
+  margin-bottom: 0px;
+  background-color: transparent;
+  font-weight: bold;
+}
+.sort_button {
+  display: inline-block;
+  padding-left: 7px;
+}
+[dir="rtl"] .sort_button.pull-right {
+  float: left !important;
+  float: left;
+}
+#tree-selector {
+  padding-right: 0px;
+}
+#button-select-all {
+  min-width: 50px;
+}
+[dir="rtl"] #button-select-all.btn {
+  float: right ;
+}
+#select-all {
+  margin-left: 7px;
+  margin-right: 2px;
+  margin-top: 2px;
+  height: 16px;
+}
+[dir="rtl"] #select-all.pull-left {
+  float: right !important;
+  float: right;
+}
+.menu_icon {
+  margin-right: 2px;
+}
+.tab-content .row {
+  margin-left: 0px;
+  margin-right: 0px;
+}
+.folder_icon:before {
+  display: inline-block;
+  font: normal normal normal 14px/1 FontAwesome;
+  font-size: inherit;
+  text-rendering: auto;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+  content: "\f114";
+}
+.folder_icon:before.fa-pull-left {
+  margin-right: .3em;
+}
+.folder_icon:before.fa-pull-right {
+  margin-left: .3em;
+}
+.folder_icon:before.pull-left {
+  margin-right: .3em;
+}
+.folder_icon:before.pull-right {
+  margin-left: .3em;
+}
+.notebook_icon:before {
+  display: inline-block;
+  font: normal normal normal 14px/1 FontAwesome;
+  font-size: inherit;
+  text-rendering: auto;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+  content: "\f02d";
+  position: relative;
+  top: -1px;
+}
+.notebook_icon:before.fa-pull-left {
+  margin-right: .3em;
+}
+.notebook_icon:before.fa-pull-right {
+  margin-left: .3em;
+}
+.notebook_icon:before.pull-left {
+  margin-right: .3em;
+}
+.notebook_icon:before.pull-right {
+  margin-left: .3em;
+}
+.running_notebook_icon:before {
+  display: inline-block;
+  font: normal normal normal 14px/1 FontAwesome;
+  font-size: inherit;
+  text-rendering: auto;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+  content: "\f02d";
+  position: relative;
+  top: -1px;
+  color: #5cb85c;
+}
+.running_notebook_icon:before.fa-pull-left {
+  margin-right: .3em;
+}
+.running_notebook_icon:before.fa-pull-right {
+  margin-left: .3em;
+}
+.running_notebook_icon:before.pull-left {
+  margin-right: .3em;
+}
+.running_notebook_icon:before.pull-right {
+  margin-left: .3em;
+}
+.file_icon:before {
+  display: inline-block;
+  font: normal normal normal 14px/1 FontAwesome;
+  font-size: inherit;
+  text-rendering: auto;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+  content: "\f016";
+  position: relative;
+  top: -2px;
+}
+.file_icon:before.fa-pull-left {
+  margin-right: .3em;
+}
+.file_icon:before.fa-pull-right {
+  margin-left: .3em;
+}
+.file_icon:before.pull-left {
+  margin-right: .3em;
+}
+.file_icon:before.pull-right {
+  margin-left: .3em;
+}
+#notebook_toolbar .pull-right {
+  padding-top: 0px;
+  margin-right: -1px;
+}
+ul#new-menu {
+  left: auto;
+  right: 0;
+}
+#new-menu .dropdown-header {
+  font-size: 10px;
+  border-bottom: 1px solid #e5e5e5;
+  padding: 0 0 3px;
+  margin: -3px 20px 0;
+}
+.kernel-menu-icon {
+  padding-right: 12px;
+  width: 24px;
+  content: "\f096";
+}
+.kernel-menu-icon:before {
+  content: "\f096";
+}
+.kernel-menu-icon-current:before {
+  content: "\f00c";
+}
+#tab_content {
+  padding-top: 20px;
+}
+#running .panel-group .panel {
+  margin-top: 3px;
+  margin-bottom: 1em;
+}
+#running .panel-group .panel .panel-heading {
+  background-color: #EEE;
+  padding-top: 4px;
+  padding-bottom: 4px;
+  padding-left: 7px;
+  padding-right: 7px;
+  line-height: 22px;
+}
+#running .panel-group .panel .panel-heading a:focus,
+#running .panel-group .panel .panel-heading a:hover {
+  text-decoration: none;
+}
+#running .panel-group .panel .panel-body {
+  padding: 0px;
+}
+#running .panel-group .panel .panel-body .list_container {
+  margin-top: 0px;
+  margin-bottom: 0px;
+  border: 0px;
+  border-radius: 0px;
+}
+#running .panel-group .panel .panel-body .list_container .list_item {
+  border-bottom: 1px solid #ddd;
+}
+#running .panel-group .panel .panel-body .list_container .list_item:last-child {
+  border-bottom: 0px;
+}
+.delete-button {
+  display: none;
+}
+.duplicate-button {
+  display: none;
+}
+.rename-button {
+  display: none;
+}
+.move-button {
+  display: none;
+}
+.download-button {
+  display: none;
+}
+.shutdown-button {
+  display: none;
+}
+.dynamic-instructions {
+  display: inline-block;
+  padding-top: 4px;
+}
+/*!
+*
+* IPython text editor webapp
+*
+*/
+.selected-keymap i.fa {
+  padding: 0px 5px;
+}
+.selected-keymap i.fa:before {
+  content: "\f00c";
+}
+#mode-menu {
+  overflow: auto;
+  max-height: 20em;
+}
+.edit_app #header {
+  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
+  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
+}
+.edit_app #menubar .navbar {
+  /* Use a negative 1 bottom margin, so the border overlaps the border of the
+    header */
+  margin-bottom: -1px;
+}
+.dirty-indicator {
+  display: inline-block;
+  font: normal normal normal 14px/1 FontAwesome;
+  font-size: inherit;
+  text-rendering: auto;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+  width: 20px;
+}
+.dirty-indicator.fa-pull-left {
+  margin-right: .3em;
+}
+.dirty-indicator.fa-pull-right {
+  margin-left: .3em;
+}
+.dirty-indicator.pull-left {
+  margin-right: .3em;
+}
+.dirty-indicator.pull-right {
+  margin-left: .3em;
+}
+.dirty-indicator-dirty {
+  display: inline-block;
+  font: normal normal normal 14px/1 FontAwesome;
+  font-size: inherit;
+  text-rendering: auto;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+  width: 20px;
+}
+.dirty-indicator-dirty.fa-pull-left {
+  margin-right: .3em;
+}
+.dirty-indicator-dirty.fa-pull-right {
+  margin-left: .3em;
+}
+.dirty-indicator-dirty.pull-left {
+  margin-right: .3em;
+}
+.dirty-indicator-dirty.pull-right {
+  margin-left: .3em;
+}
+.dirty-indicator-clean {
+  display: inline-block;
+  font: normal normal normal 14px/1 FontAwesome;
+  font-size: inherit;
+  text-rendering: auto;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+  width: 20px;
+}
+.dirty-indicator-clean.fa-pull-left {
+  margin-right: .3em;
+}
+.dirty-indicator-clean.fa-pull-right {
+  margin-left: .3em;
+}
+.dirty-indicator-clean.pull-left {
+  margin-right: .3em;
+}
+.dirty-indicator-clean.pull-right {
+  margin-left: .3em;
+}
+.dirty-indicator-clean:before {
+  display: inline-block;
+  font: normal normal normal 14px/1 FontAwesome;
+  font-size: inherit;
+  text-rendering: auto;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+  content: "\f00c";
+}
+.dirty-indicator-clean:before.fa-pull-left {
+  margin-right: .3em;
+}
+.dirty-indicator-clean:before.fa-pull-right {
+  margin-left: .3em;
+}
+.dirty-indicator-clean:before.pull-left {
+  margin-right: .3em;
+}
+.dirty-indicator-clean:before.pull-right {
+  margin-left: .3em;
+}
+#filename {
+  font-size: 16pt;
+  display: table;
+  padding: 0px 5px;
+}
+#current-mode {
+  padding-left: 5px;
+  padding-right: 5px;
+}
+#texteditor-backdrop {
+  padding-top: 20px;
+  padding-bottom: 20px;
+}
+@media not print {
+  #texteditor-backdrop {
+    background-color: #EEE;
+  }
+}
+@media print {
+  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
+  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
+    background-color: #fff;
+  }
+}
+@media not print {
+  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
+  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
+    background-color: #fff;
+  }
+}
+@media not print {
+  #texteditor-backdrop #texteditor-container {
+    padding: 0px;
+    background-color: #fff;
+    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
+    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
+  }
+}
+.CodeMirror-dialog {
+  background-color: #fff;
+}
+/*!
+*
+* IPython notebook
+*
+*/
+/* CSS font colors for translated ANSI escape sequences */
+/* The color values are a mix of
+   http://www.xcolors.net/dl/baskerville-ivorylight and
+   http://www.xcolors.net/dl/euphrasia */
+.ansi-black-fg {
+  color: #3E424D;
+}
+.ansi-black-bg {
+  background-color: #3E424D;
+}
+.ansi-black-intense-fg {
+  color: #282C36;
+}
+.ansi-black-intense-bg {
+  background-color: #282C36;
+}
+.ansi-red-fg {
+  color: #E75C58;
+}
+.ansi-red-bg {
+  background-color: #E75C58;
+}
+.ansi-red-intense-fg {
+  color: #B22B31;
+}
+.ansi-red-intense-bg {
+  background-color: #B22B31;
+}
+.ansi-green-fg {
+  color: #00A250;
+}
+.ansi-green-bg {
+  background-color: #00A250;
+}
+.ansi-green-intense-fg {
+  color: #007427;
+}
+.ansi-green-intense-bg {
+  background-color: #007427;
+}
+.ansi-yellow-fg {
+  color: #DDB62B;
+}
+.ansi-yellow-bg {
+  background-color: #DDB62B;
+}
+.ansi-yellow-intense-fg {
+  color: #B27D12;
+}
+.ansi-yellow-intense-bg {
+  background-color: #B27D12;
+}
+.ansi-blue-fg {
+  color: #208FFB;
+}
+.ansi-blue-bg {
+  background-color: #208FFB;
+}
+.ansi-blue-intense-fg {
+  color: #0065CA;
+}
+.ansi-blue-intense-bg {
+  background-color: #0065CA;
+}
+.ansi-magenta-fg {
+  color: #D160C4;
+}
+.ansi-magenta-bg {
+  background-color: #D160C4;
+}
+.ansi-magenta-intense-fg {
+  color: #A03196;
+}
+.ansi-magenta-intense-bg {
+  background-color: #A03196;
+}
+.ansi-cyan-fg {
+  color: #60C6C8;
+}
+.ansi-cyan-bg {
+  background-color: #60C6C8;
+}
+.ansi-cyan-intense-fg {
+  color: #258F8F;
+}
+.ansi-cyan-intense-bg {
+  background-color: #258F8F;
+}
+.ansi-white-fg {
+  color: #C5C1B4;
+}
+.ansi-white-bg {
+  background-color: #C5C1B4;
+}
+.ansi-white-intense-fg {
+  color: #A1A6B2;
+}
+.ansi-white-intense-bg {
+  background-color: #A1A6B2;
+}
+.ansi-default-inverse-fg {
+  color: #FFFFFF;
+}
+.ansi-default-inverse-bg {
+  background-color: #000000;
+}
+.ansi-bold {
+  font-weight: bold;
+}
+.ansi-underline {
+  text-decoration: underline;
+}
+/* The following styles are deprecated an will be removed in a future version */
+.ansibold {
+  font-weight: bold;
+}
+.ansi-inverse {
+  outline: 0.5px dotted;
+}
+/* use dark versions for foreground, to improve visibility */
+.ansiblack {
+  color: black;
+}
+.ansired {
+  color: darkred;
+}
+.ansigreen {
+  color: darkgreen;
+}
+.ansiyellow {
+  color: #c4a000;
+}
+.ansiblue {
+  color: darkblue;
+}
+.ansipurple {
+  color: darkviolet;
+}
+.ansicyan {
+  color: steelblue;
+}
+.ansigray {
+  color: gray;
+}
+/* and light for background, for the same reason */
+.ansibgblack {
+  background-color: black;
+}
+.ansibgred {
+  background-color: red;
+}
+.ansibggreen {
+  background-color: green;
+}
+.ansibgyellow {
+  background-color: yellow;
+}
+.ansibgblue {
+  background-color: blue;
+}
+.ansibgpurple {
+  background-color: magenta;
+}
+.ansibgcyan {
+  background-color: cyan;
+}
+.ansibggray {
+  background-color: gray;
+}
+div.cell {
+  /* Old browsers */
+  display: -webkit-box;
+  -webkit-box-orient: vertical;
+  -webkit-box-align: stretch;
+  display: -moz-box;
+  -moz-box-orient: vertical;
+  -moz-box-align: stretch;
+  display: box;
+  box-orient: vertical;
+  box-align: stretch;
+  /* Modern browsers */
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+  border-radius: 2px;
+  box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  -webkit-box-sizing: border-box;
+  border-width: 1px;
+  border-style: solid;
+  border-color: transparent;
+  width: 100%;
+  padding: 5px;
+  /* This acts as a spacer between cells, that is outside the border */
+  margin: 0px;
+  outline: none;
+  position: relative;
+  overflow: visible;
+}
+div.cell:before {
+  position: absolute;
+  display: block;
+  top: -1px;
+  left: -1px;
+  width: 5px;
+  height: calc(100% +  2px);
+  content: '';
+  background: transparent;
+}
+div.cell.jupyter-soft-selected {
+  border-left-color: #E3F2FD;
+  border-left-width: 1px;
+  padding-left: 5px;
+  border-right-color: #E3F2FD;
+  border-right-width: 1px;
+  background: #E3F2FD;
+}
+@media print {
+  div.cell.jupyter-soft-selected {
+    border-color: transparent;
+  }
+}
+div.cell.selected,
+div.cell.selected.jupyter-soft-selected {
+  border-color: #ababab;
+}
+div.cell.selected:before,
+div.cell.selected.jupyter-soft-selected:before {
+  position: absolute;
+  display: block;
+  top: -1px;
+  left: -1px;
+  width: 5px;
+  height: calc(100% +  2px);
+  content: '';
+  background: #42A5F5;
+}
+@media print {
+  div.cell.selected,
+  div.cell.selected.jupyter-soft-selected {
+    border-color: transparent;
+  }
+}
+.edit_mode div.cell.selected {
+  border-color: #66BB6A;
+}
+.edit_mode div.cell.selected:before {
+  position: absolute;
+  display: block;
+  top: -1px;
+  left: -1px;
+  width: 5px;
+  height: calc(100% +  2px);
+  content: '';
+  background: #66BB6A;
+}
+@media print {
+  .edit_mode div.cell.selected {
+    border-color: transparent;
+  }
+}
+.prompt {
+  /* This needs to be wide enough for 3 digit prompt numbers: In[100]: */
+  min-width: 14ex;
+  /* This padding is tuned to match the padding on the CodeMirror editor. */
+  padding: 0.4em;
+  margin: 0px;
+  font-family: monospace;
+  text-align: right;
+  /* This has to match that of the the CodeMirror class line-height below */
+  line-height: 1.21429em;
+  /* Don't highlight prompt number selection */
+  -webkit-touch-callout: none;
+  -webkit-user-select: none;
+  -khtml-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+  /* Use default cursor */
+  cursor: default;
+}
+@media (max-width: 540px) {
+  .prompt {
+    text-align: left;
+  }
+}
+div.inner_cell {
+  min-width: 0;
+  /* Old browsers */
+  display: -webkit-box;
+  -webkit-box-orient: vertical;
+  -webkit-box-align: stretch;
+  display: -moz-box;
+  -moz-box-orient: vertical;
+  -moz-box-align: stretch;
+  display: box;
+  box-orient: vertical;
+  box-align: stretch;
+  /* Modern browsers */
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+  /* Old browsers */
+  -webkit-box-flex: 1;
+  -moz-box-flex: 1;
+  box-flex: 1;
+  /* Modern browsers */
+  flex: 1;
+}
+/* input_area and input_prompt must match in top border and margin for alignment */
+div.input_area {
+  border: 1px solid #cfcfcf;
+  border-radius: 2px;
+  background: #f7f7f7;
+  line-height: 1.21429em;
+}
+/* This is needed so that empty prompt areas can collapse to zero height when there
+   is no content in the output_subarea and the prompt. The main purpose of this is
+   to make sure that empty JavaScript output_subareas have no height. */
+div.prompt:empty {
+  padding-top: 0;
+  padding-bottom: 0;
+}
+div.unrecognized_cell {
+  padding: 5px 5px 5px 0px;
+  /* Old browsers */
+  display: -webkit-box;
+  -webkit-box-orient: horizontal;
+  -webkit-box-align: stretch;
+  display: -moz-box;
+  -moz-box-orient: horizontal;
+  -moz-box-align: stretch;
+  display: box;
+  box-orient: horizontal;
+  box-align: stretch;
+  /* Modern browsers */
+  display: flex;
+  flex-direction: row;
+  align-items: stretch;
+}
+div.unrecognized_cell .inner_cell {
+  border-radius: 2px;
+  padding: 5px;
+  font-weight: bold;
+  color: red;
+  border: 1px solid #cfcfcf;
+  background: #eaeaea;
+}
+div.unrecognized_cell .inner_cell a {
+  color: inherit;
+  text-decoration: none;
+}
+div.unrecognized_cell .inner_cell a:hover {
+  color: inherit;
+  text-decoration: none;
+}
+@media (max-width: 540px) {
+  div.unrecognized_cell > div.prompt {
+    display: none;
+  }
+}
+div.code_cell {
+  /* avoid page breaking on code cells when printing */
+}
+@media print {
+  div.code_cell {
+    page-break-inside: avoid;
+  }
+}
+/* any special styling for code cells that are currently running goes here */
+div.input {
+  page-break-inside: avoid;
+  /* Old browsers */
+  display: -webkit-box;
+  -webkit-box-orient: horizontal;
+  -webkit-box-align: stretch;
+  display: -moz-box;
+  -moz-box-orient: horizontal;
+  -moz-box-align: stretch;
+  display: box;
+  box-orient: horizontal;
+  box-align: stretch;
+  /* Modern browsers */
+  display: flex;
+  flex-direction: row;
+  align-items: stretch;
+}
+@media (max-width: 540px) {
+  div.input {
+    /* Old browsers */
+    display: -webkit-box;
+    -webkit-box-orient: vertical;
+    -webkit-box-align: stretch;
+    display: -moz-box;
+    -moz-box-orient: vertical;
+    -moz-box-align: stretch;
+    display: box;
+    box-orient: vertical;
+    box-align: stretch;
+    /* Modern browsers */
+    display: flex;
+    flex-direction: column;
+    align-items: stretch;
+  }
+}
+/* input_area and input_prompt must match in top border and margin for alignment */
+div.input_prompt {
+  color: #303F9F;
+  border-top: 1px solid transparent;
+}
+div.input_area > div.highlight {
+  margin: 0.4em;
+  border: none;
+  padding: 0px;
+  background-color: transparent;
+}
+div.input_area > div.highlight > pre {
+  margin: 0px;
+  border: none;
+  padding: 0px;
+  background-color: transparent;
+}
+/* The following gets added to the <head> if it is detected that the user has a
+ * monospace font with inconsistent normal/bold/italic height.  See
+ * notebookmain.js.  Such fonts will have keywords vertically offset with
+ * respect to the rest of the text.  The user should select a better font.
+ * See: https://github.com/ipython/ipython/issues/1503
+ *
+ * .CodeMirror span {
+ *      vertical-align: bottom;
+ * }
+ */
+.CodeMirror {
+  line-height: 1.21429em;
+  /* Changed from 1em to our global default */
+  font-size: 14px;
+  height: auto;
+  /* Changed to auto to autogrow */
+  background: none;
+  /* Changed from white to allow our bg to show through */
+}
+.CodeMirror-scroll {
+  /*  The CodeMirror docs are a bit fuzzy on if overflow-y should be hidden or visible.*/
+  /*  We have found that if it is visible, vertical scrollbars appear with font size changes.*/
+  overflow-y: hidden;
+  overflow-x: auto;
+}
+.CodeMirror-lines {
+  /* In CM2, this used to be 0.4em, but in CM3 it went to 4px. We need the em value because */
+  /* we have set a different line-height and want this to scale with that. */
+  /* Note that this should set vertical padding only, since CodeMirror assumes
+       that horizontal padding will be set on CodeMirror pre */
+  padding: 0.4em 0;
+}
+.CodeMirror-linenumber {
+  padding: 0 8px 0 4px;
+}
+.CodeMirror-gutters {
+  border-bottom-left-radius: 2px;
+  border-top-left-radius: 2px;
+}
+.CodeMirror pre {
+  /* In CM3 this went to 4px from 0 in CM2. This sets horizontal padding only,
+    use .CodeMirror-lines for vertical */
+  padding: 0 0.4em;
+  border: 0;
+  border-radius: 0;
+}
+.CodeMirror-cursor {
+  border-left: 1.4px solid black;
+}
+@media screen and (min-width: 2138px) and (max-width: 4319px) {
+  .CodeMirror-cursor {
+    border-left: 2px solid black;
+  }
+}
+@media screen and (min-width: 4320px) {
+  .CodeMirror-cursor {
+    border-left: 4px solid black;
+  }
+}
+/*
+
+Original style from softwaremaniacs.org (c) Ivan Sagalaev <Maniac@SoftwareManiacs.Org>
+Adapted from GitHub theme
+
+*/
+.highlight-base {
+  color: #000;
+}
+.highlight-variable {
+  color: #000;
+}
+.highlight-variable-2 {
+  color: #1a1a1a;
+}
+.highlight-variable-3 {
+  color: #333333;
+}
+.highlight-string {
+  color: #BA2121;
+}
+.highlight-comment {
+  color: #408080;
+  font-style: italic;
+}
+.highlight-number {
+  color: #080;
+}
+.highlight-atom {
+  color: #88F;
+}
+.highlight-keyword {
+  color: #008000;
+  font-weight: bold;
+}
+.highlight-builtin {
+  color: #008000;
+}
+.highlight-error {
+  color: #f00;
+}
+.highlight-operator {
+  color: #AA22FF;
+  font-weight: bold;
+}
+.highlight-meta {
+  color: #AA22FF;
+}
+/* previously not defined, copying from default codemirror */
+.highlight-def {
+  color: #00f;
+}
+.highlight-string-2 {
+  color: #f50;
+}
+.highlight-qualifier {
+  color: #555;
+}
+.highlight-bracket {
+  color: #997;
+}
+.highlight-tag {
+  color: #170;
+}
+.highlight-attribute {
+  color: #00c;
+}
+.highlight-header {
+  color: blue;
+}
+.highlight-quote {
+  color: #090;
+}
+.highlight-link {
+  color: #00c;
+}
+/* apply the same style to codemirror */
+.cm-s-ipython span.cm-keyword {
+  color: #008000;
+  font-weight: bold;
+}
+.cm-s-ipython span.cm-atom {
+  color: #88F;
+}
+.cm-s-ipython span.cm-number {
+  color: #080;
+}
+.cm-s-ipython span.cm-def {
+  color: #00f;
+}
+.cm-s-ipython span.cm-variable {
+  color: #000;
+}
+.cm-s-ipython span.cm-operator {
+  color: #AA22FF;
+  font-weight: bold;
+}
+.cm-s-ipython span.cm-variable-2 {
+  color: #1a1a1a;
+}
+.cm-s-ipython span.cm-variable-3 {
+  color: #333333;
+}
+.cm-s-ipython span.cm-comment {
+  color: #408080;
+  font-style: italic;
+}
+.cm-s-ipython span.cm-string {
+  color: #BA2121;
+}
+.cm-s-ipython span.cm-string-2 {
+  color: #f50;
+}
+.cm-s-ipython span.cm-meta {
+  color: #AA22FF;
+}
+.cm-s-ipython span.cm-qualifier {
+  color: #555;
+}
+.cm-s-ipython span.cm-builtin {
+  color: #008000;
+}
+.cm-s-ipython span.cm-bracket {
+  color: #997;
+}
+.cm-s-ipython span.cm-tag {
+  color: #170;
+}
+.cm-s-ipython span.cm-attribute {
+  color: #00c;
+}
+.cm-s-ipython span.cm-header {
+  color: blue;
+}
+.cm-s-ipython span.cm-quote {
+  color: #090;
+}
+.cm-s-ipython span.cm-link {
+  color: #00c;
+}
+.cm-s-ipython span.cm-error {
+  color: #f00;
+}
+.cm-s-ipython span.cm-tab {
+  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
+  background-position: right;
+  background-repeat: no-repeat;
+}
+div.output_wrapper {
+  /* this position must be relative to enable descendents to be absolute within it */
+  position: relative;
+  /* Old browsers */
+  display: -webkit-box;
+  -webkit-box-orient: vertical;
+  -webkit-box-align: stretch;
+  display: -moz-box;
+  -moz-box-orient: vertical;
+  -moz-box-align: stretch;
+  display: box;
+  box-orient: vertical;
+  box-align: stretch;
+  /* Modern browsers */
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+  z-index: 1;
+}
+/* class for the output area when it should be height-limited */
+div.output_scroll {
+  /* ideally, this would be max-height, but FF barfs all over that */
+  height: 24em;
+  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
+  width: 100%;
+  overflow: auto;
+  border-radius: 2px;
+  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
+  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
+  display: block;
+}
+/* output div while it is collapsed */
+div.output_collapsed {
+  margin: 0px;
+  padding: 0px;
+  /* Old browsers */
+  display: -webkit-box;
+  -webkit-box-orient: vertical;
+  -webkit-box-align: stretch;
+  display: -moz-box;
+  -moz-box-orient: vertical;
+  -moz-box-align: stretch;
+  display: box;
+  box-orient: vertical;
+  box-align: stretch;
+  /* Modern browsers */
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+}
+div.out_prompt_overlay {
+  height: 100%;
+  padding: 0px 0.4em;
+  position: absolute;
+  border-radius: 2px;
+}
+div.out_prompt_overlay:hover {
+  /* use inner shadow to get border that is computed the same on WebKit/FF */
+  -webkit-box-shadow: inset 0 0 1px #000;
+  box-shadow: inset 0 0 1px #000;
+  background: rgba(240, 240, 240, 0.5);
+}
+div.output_prompt {
+  color: #D84315;
+}
+/* This class is the outer container of all output sections. */
+div.output_area {
+  padding: 0px;
+  page-break-inside: avoid;
+  /* Old browsers */
+  display: -webkit-box;
+  -webkit-box-orient: horizontal;
+  -webkit-box-align: stretch;
+  display: -moz-box;
+  -moz-box-orient: horizontal;
+  -moz-box-align: stretch;
+  display: box;
+  box-orient: horizontal;
+  box-align: stretch;
+  /* Modern browsers */
+  display: flex;
+  flex-direction: row;
+  align-items: stretch;
+}
+div.output_area .MathJax_Display {
+  text-align: left !important;
+}
+div.output_area .rendered_html table {
+  margin-left: 0;
+  margin-right: 0;
+}
+div.output_area .rendered_html img {
+  margin-left: 0;
+  margin-right: 0;
+}
+div.output_area img,
+div.output_area svg {
+  max-width: 100%;
+  height: auto;
+}
+div.output_area img.unconfined,
+div.output_area svg.unconfined {
+  max-width: none;
+}
+div.output_area .mglyph > img {
+  max-width: none;
+}
+/* This is needed to protect the pre formating from global settings such
+   as that of bootstrap */
+.output {
+  /* Old browsers */
+  display: -webkit-box;
+  -webkit-box-orient: vertical;
+  -webkit-box-align: stretch;
+  display: -moz-box;
+  -moz-box-orient: vertical;
+  -moz-box-align: stretch;
+  display: box;
+  box-orient: vertical;
+  box-align: stretch;
+  /* Modern browsers */
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+}
+@media (max-width: 540px) {
+  div.output_area {
+    /* Old browsers */
+    display: -webkit-box;
+    -webkit-box-orient: vertical;
+    -webkit-box-align: stretch;
+    display: -moz-box;
+    -moz-box-orient: vertical;
+    -moz-box-align: stretch;
+    display: box;
+    box-orient: vertical;
+    box-align: stretch;
+    /* Modern browsers */
+    display: flex;
+    flex-direction: column;
+    align-items: stretch;
+  }
+}
+div.output_area pre {
+  margin: 0;
+  padding: 1px 0 1px 0;
+  border: 0;
+  vertical-align: baseline;
+  color: black;
+  background-color: transparent;
+  border-radius: 0;
+}
+/* This class is for the output subarea inside the output_area and after
+   the prompt div. */
+div.output_subarea {
+  overflow-x: auto;
+  padding: 0.4em;
+  /* Old browsers */
+  -webkit-box-flex: 1;
+  -moz-box-flex: 1;
+  box-flex: 1;
+  /* Modern browsers */
+  flex: 1;
+  max-width: calc(100% - 14ex);
+}
+div.output_scroll div.output_subarea {
+  overflow-x: visible;
+}
+/* The rest of the output_* classes are for special styling of the different
+   output types */
+/* all text output has this class: */
+div.output_text {
+  text-align: left;
+  color: #000;
+  /* This has to match that of the the CodeMirror class line-height below */
+  line-height: 1.21429em;
+}
+/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
+div.output_stderr {
+  background: #fdd;
+  /* very light red background for stderr */
+}
+div.output_latex {
+  text-align: left;
+}
+/* Empty output_javascript divs should have no height */
+div.output_javascript:empty {
+  padding: 0;
+}
+.js-error {
+  color: darkred;
+}
+/* raw_input styles */
+div.raw_input_container {
+  line-height: 1.21429em;
+  padding-top: 5px;
+}
+pre.raw_input_prompt {
+  /* nothing needed here. */
+}
+input.raw_input {
+  font-family: monospace;
+  font-size: inherit;
+  color: inherit;
+  width: auto;
+  /* make sure input baseline aligns with prompt */
+  vertical-align: baseline;
+  /* padding + margin = 0.5em between prompt and cursor */
+  padding: 0em 0.25em;
+  margin: 0em 0.25em;
+}
+input.raw_input:focus {
+  box-shadow: none;
+}
+p.p-space {
+  margin-bottom: 10px;
+}
+div.output_unrecognized {
+  padding: 5px;
+  font-weight: bold;
+  color: red;
+}
+div.output_unrecognized a {
+  color: inherit;
+  text-decoration: none;
+}
+div.output_unrecognized a:hover {
+  color: inherit;
+  text-decoration: none;
+}
+.rendered_html {
+  color: #000;
+  /* any extras will just be numbers: */
+}
+.rendered_html em {
+  font-style: italic;
+}
+.rendered_html strong {
+  font-weight: bold;
+}
+.rendered_html u {
+  text-decoration: underline;
+}
+.rendered_html :link {
+  text-decoration: underline;
+}
+.rendered_html :visited {
+  text-decoration: underline;
+}
+.rendered_html h1 {
+  font-size: 185.7%;
+  margin: 1.08em 0 0 0;
+  font-weight: bold;
+  line-height: 1.0;
+}
+.rendered_html h2 {
+  font-size: 157.1%;
+  margin: 1.27em 0 0 0;
+  font-weight: bold;
+  line-height: 1.0;
+}
+.rendered_html h3 {
+  font-size: 128.6%;
+  margin: 1.55em 0 0 0;
+  font-weight: bold;
+  line-height: 1.0;
+}
+.rendered_html h4 {
+  font-size: 100%;
+  margin: 2em 0 0 0;
+  font-weight: bold;
+  line-height: 1.0;
+}
+.rendered_html h5 {
+  font-size: 100%;
+  margin: 2em 0 0 0;
+  font-weight: bold;
+  line-height: 1.0;
+  font-style: italic;
+}
+.rendered_html h6 {
+  font-size: 100%;
+  margin: 2em 0 0 0;
+  font-weight: bold;
+  line-height: 1.0;
+  font-style: italic;
+}
+.rendered_html h1:first-child {
+  margin-top: 0.538em;
+}
+.rendered_html h2:first-child {
+  margin-top: 0.636em;
+}
+.rendered_html h3:first-child {
+  margin-top: 0.777em;
+}
+.rendered_html h4:first-child {
+  margin-top: 1em;
+}
+.rendered_html h5:first-child {
+  margin-top: 1em;
+}
+.rendered_html h6:first-child {
+  margin-top: 1em;
+}
+.rendered_html ul:not(.list-inline),
+.rendered_html ol:not(.list-inline) {
+  padding-left: 2em;
+}
+.rendered_html ul {
+  list-style: disc;
+}
+.rendered_html ul ul {
+  list-style: square;
+  margin-top: 0;
+}
+.rendered_html ul ul ul {
+  list-style: circle;
+}
+.rendered_html ol {
+  list-style: decimal;
+}
+.rendered_html ol ol {
+  list-style: upper-alpha;
+  margin-top: 0;
+}
+.rendered_html ol ol ol {
+  list-style: lower-alpha;
+}
+.rendered_html ol ol ol ol {
+  list-style: lower-roman;
+}
+.rendered_html ol ol ol ol ol {
+  list-style: decimal;
+}
+.rendered_html * + ul {
+  margin-top: 1em;
+}
+.rendered_html * + ol {
+  margin-top: 1em;
+}
+.rendered_html hr {
+  color: black;
+  background-color: black;
+}
+.rendered_html pre {
+  margin: 1em 2em;
+  padding: 0px;
+  background-color: #fff;
+}
+.rendered_html code {
+  background-color: #eff0f1;
+}
+.rendered_html p code {
+  padding: 1px 5px;
+}
+.rendered_html pre code {
+  background-color: #fff;
+}
+.rendered_html pre,
+.rendered_html code {
+  border: 0;
+  color: #000;
+  font-size: 100%;
+}
+.rendered_html blockquote {
+  margin: 1em 2em;
+}
+.rendered_html table {
+  margin-left: auto;
+  margin-right: auto;
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 12px;
+  table-layout: fixed;
+}
+.rendered_html thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+.rendered_html tr,
+.rendered_html th,
+.rendered_html td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+.rendered_html th {
+  font-weight: bold;
+}
+.rendered_html tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+.rendered_html tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+.rendered_html * + table {
+  margin-top: 1em;
+}
+.rendered_html p {
+  text-align: left;
+}
+.rendered_html * + p {
+  margin-top: 1em;
+}
+.rendered_html img {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+.rendered_html * + img {
+  margin-top: 1em;
+}
+.rendered_html img,
+.rendered_html svg {
+  max-width: 100%;
+  height: auto;
+}
+.rendered_html img.unconfined,
+.rendered_html svg.unconfined {
+  max-width: none;
+}
+.rendered_html .alert {
+  margin-bottom: initial;
+}
+.rendered_html * + .alert {
+  margin-top: 1em;
+}
+[dir="rtl"] .rendered_html p {
+  text-align: right;
+}
+div.text_cell {
+  /* Old browsers */
+  display: -webkit-box;
+  -webkit-box-orient: horizontal;
+  -webkit-box-align: stretch;
+  display: -moz-box;
+  -moz-box-orient: horizontal;
+  -moz-box-align: stretch;
+  display: box;
+  box-orient: horizontal;
+  box-align: stretch;
+  /* Modern browsers */
+  display: flex;
+  flex-direction: row;
+  align-items: stretch;
+}
+@media (max-width: 540px) {
+  div.text_cell > div.prompt {
+    display: none;
+  }
+}
+div.text_cell_render {
+  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
+  outline: none;
+  resize: none;
+  width: inherit;
+  border-style: none;
+  padding: 0.5em 0.5em 0.5em 0.4em;
+  color: #000;
+  box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  -webkit-box-sizing: border-box;
+}
+a.anchor-link:link {
+  text-decoration: none;
+  padding: 0px 20px;
+  visibility: hidden;
+}
+h1:hover .anchor-link,
+h2:hover .anchor-link,
+h3:hover .anchor-link,
+h4:hover .anchor-link,
+h5:hover .anchor-link,
+h6:hover .anchor-link {
+  visibility: visible;
+}
+.text_cell.rendered .input_area {
+  display: none;
+}
+.text_cell.rendered .rendered_html {
+  overflow-x: auto;
+  overflow-y: hidden;
+}
+.text_cell.rendered .rendered_html tr,
+.text_cell.rendered .rendered_html th,
+.text_cell.rendered .rendered_html td {
+  max-width: none;
+}
+.text_cell.unrendered .text_cell_render {
+  display: none;
+}
+.text_cell .dropzone .input_area {
+  border: 2px dashed #bababa;
+  margin: -1px;
+}
+.cm-header-1,
+.cm-header-2,
+.cm-header-3,
+.cm-header-4,
+.cm-header-5,
+.cm-header-6 {
+  font-weight: bold;
+  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
+}
+.cm-header-1 {
+  font-size: 185.7%;
+}
+.cm-header-2 {
+  font-size: 157.1%;
+}
+.cm-header-3 {
+  font-size: 128.6%;
+}
+.cm-header-4 {
+  font-size: 110%;
+}
+.cm-header-5 {
+  font-size: 100%;
+  font-style: italic;
+}
+.cm-header-6 {
+  font-size: 100%;
+  font-style: italic;
+}
+/*!
+*
+* IPython notebook webapp
+*
+*/
+@media (max-width: 767px) {
+  .notebook_app {
+    padding-left: 0px;
+    padding-right: 0px;
+  }
+}
+#ipython-main-app {
+  box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  -webkit-box-sizing: border-box;
+  height: 100%;
+}
+div#notebook_panel {
+  margin: 0px;
+  padding: 0px;
+  box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  -webkit-box-sizing: border-box;
+  height: 100%;
+}
+div#notebook {
+  font-size: 14px;
+  line-height: 20px;
+  overflow-y: hidden;
+  overflow-x: auto;
+  width: 100%;
+  /* This spaces the page away from the edge of the notebook area */
+  padding-top: 20px;
+  margin: 0px;
+  outline: none;
+  box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  -webkit-box-sizing: border-box;
+  min-height: 100%;
+}
+@media not print {
+  #notebook-container {
+    padding: 15px;
+    background-color: #fff;
+    min-height: 0;
+    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
+    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
+  }
+}
+@media print {
+  #notebook-container {
+    width: 100%;
+  }
+}
+div.ui-widget-content {
+  border: 1px solid #ababab;
+  outline: none;
+}
+pre.dialog {
+  background-color: #f7f7f7;
+  border: 1px solid #ddd;
+  border-radius: 2px;
+  padding: 0.4em;
+  padding-left: 2em;
+}
+p.dialog {
+  padding: 0.2em;
+}
+/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
+   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
+ */
+pre,
+code,
+kbd,
+samp {
+  white-space: pre-wrap;
+}
+#fonttest {
+  font-family: monospace;
+}
+p {
+  margin-bottom: 0;
+}
+.end_space {
+  min-height: 100px;
+  transition: height .2s ease;
+}
+.notebook_app > #header {
+  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
+  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
+}
+@media not print {
+  .notebook_app {
+    background-color: #EEE;
+  }
+}
+kbd {
+  border-style: solid;
+  border-width: 1px;
+  box-shadow: none;
+  margin: 2px;
+  padding-left: 2px;
+  padding-right: 2px;
+  padding-top: 1px;
+  padding-bottom: 1px;
+}
+.jupyter-keybindings {
+  padding: 1px;
+  line-height: 24px;
+  border-bottom: 1px solid gray;
+}
+.jupyter-keybindings input {
+  margin: 0;
+  padding: 0;
+  border: none;
+}
+.jupyter-keybindings i {
+  padding: 6px;
+}
+.well code {
+  background-color: #ffffff;
+  border-color: #ababab;
+  border-width: 1px;
+  border-style: solid;
+  padding: 2px;
+  padding-top: 1px;
+  padding-bottom: 1px;
+}
+/* CSS for the cell toolbar */
+.celltoolbar {
+  border: thin solid #CFCFCF;
+  border-bottom: none;
+  background: #EEE;
+  border-radius: 2px 2px 0px 0px;
+  width: 100%;
+  height: 29px;
+  padding-right: 4px;
+  /* Old browsers */
+  display: -webkit-box;
+  -webkit-box-orient: horizontal;
+  -webkit-box-align: stretch;
+  display: -moz-box;
+  -moz-box-orient: horizontal;
+  -moz-box-align: stretch;
+  display: box;
+  box-orient: horizontal;
+  box-align: stretch;
+  /* Modern browsers */
+  display: flex;
+  flex-direction: row;
+  align-items: stretch;
+  /* Old browsers */
+  -webkit-box-pack: end;
+  -moz-box-pack: end;
+  box-pack: end;
+  /* Modern browsers */
+  justify-content: flex-end;
+  display: -webkit-flex;
+}
+@media print {
+  .celltoolbar {
+    display: none;
+  }
+}
+.ctb_hideshow {
+  display: none;
+  vertical-align: bottom;
+}
+/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
+   Cell toolbars are only shown when the ctb_global_show class is also set.
+*/
+.ctb_global_show .ctb_show.ctb_hideshow {
+  display: block;
+}
+.ctb_global_show .ctb_show + .input_area,
+.ctb_global_show .ctb_show + div.text_cell_input,
+.ctb_global_show .ctb_show ~ div.text_cell_render {
+  border-top-right-radius: 0px;
+  border-top-left-radius: 0px;
+}
+.ctb_global_show .ctb_show ~ div.text_cell_render {
+  border: 1px solid #cfcfcf;
+}
+.celltoolbar {
+  font-size: 87%;
+  padding-top: 3px;
+}
+.celltoolbar select {
+  display: block;
+  width: 100%;
+  height: 32px;
+  padding: 6px 12px;
+  font-size: 13px;
+  line-height: 1.42857143;
+  color: #555555;
+  background-color: #fff;
+  background-image: none;
+  border: 1px solid #ccc;
+  border-radius: 2px;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
+  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
+  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
+  height: 30px;
+  padding: 5px 10px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 1px;
+  width: inherit;
+  font-size: inherit;
+  height: 22px;
+  padding: 0px;
+  display: inline-block;
+}
+.celltoolbar select:focus {
+  border-color: #66afe9;
+  outline: 0;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
+  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
+}
+.celltoolbar select::-moz-placeholder {
+  color: #999;
+  opacity: 1;
+}
+.celltoolbar select:-ms-input-placeholder {
+  color: #999;
+}
+.celltoolbar select::-webkit-input-placeholder {
+  color: #999;
+}
+.celltoolbar select::-ms-expand {
+  border: 0;
+  background-color: transparent;
+}
+.celltoolbar select[disabled],
+.celltoolbar select[readonly],
+fieldset[disabled] .celltoolbar select {
+  background-color: #eeeeee;
+  opacity: 1;
+}
+.celltoolbar select[disabled],
+fieldset[disabled] .celltoolbar select {
+  cursor: not-allowed;
+}
+textarea.celltoolbar select {
+  height: auto;
+}
+select.celltoolbar select {
+  height: 30px;
+  line-height: 30px;
+}
+textarea.celltoolbar select,
+select[multiple].celltoolbar select {
+  height: auto;
+}
+.celltoolbar label {
+  margin-left: 5px;
+  margin-right: 5px;
+}
+.tags_button_container {
+  width: 100%;
+  display: flex;
+}
+.tag-container {
+  display: flex;
+  flex-direction: row;
+  flex-grow: 1;
+  overflow: hidden;
+  position: relative;
+}
+.tag-container > * {
+  margin: 0 4px;
+}
+.remove-tag-btn {
+  margin-left: 4px;
+}
+.tags-input {
+  display: flex;
+}
+.cell-tag:last-child:after {
+  content: "";
+  position: absolute;
+  right: 0;
+  width: 40px;
+  height: 100%;
+  /* Fade to background color of cell toolbar */
+  background: linear-gradient(to right, rgba(0, 0, 0, 0), #EEE);
+}
+.tags-input > * {
+  margin-left: 4px;
+}
+.cell-tag,
+.tags-input input,
+.tags-input button {
+  display: block;
+  width: 100%;
+  height: 32px;
+  padding: 6px 12px;
+  font-size: 13px;
+  line-height: 1.42857143;
+  color: #555555;
+  background-color: #fff;
+  background-image: none;
+  border: 1px solid #ccc;
+  border-radius: 2px;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
+  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
+  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
+  height: 30px;
+  padding: 5px 10px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 1px;
+  box-shadow: none;
+  width: inherit;
+  font-size: inherit;
+  height: 22px;
+  line-height: 22px;
+  padding: 0px 4px;
+  display: inline-block;
+}
+.cell-tag:focus,
+.tags-input input:focus,
+.tags-input button:focus {
+  border-color: #66afe9;
+  outline: 0;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
+  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
+}
+.cell-tag::-moz-placeholder,
+.tags-input input::-moz-placeholder,
+.tags-input button::-moz-placeholder {
+  color: #999;
+  opacity: 1;
+}
+.cell-tag:-ms-input-placeholder,
+.tags-input input:-ms-input-placeholder,
+.tags-input button:-ms-input-placeholder {
+  color: #999;
+}
+.cell-tag::-webkit-input-placeholder,
+.tags-input input::-webkit-input-placeholder,
+.tags-input button::-webkit-input-placeholder {
+  color: #999;
+}
+.cell-tag::-ms-expand,
+.tags-input input::-ms-expand,
+.tags-input button::-ms-expand {
+  border: 0;
+  background-color: transparent;
+}
+.cell-tag[disabled],
+.tags-input input[disabled],
+.tags-input button[disabled],
+.cell-tag[readonly],
+.tags-input input[readonly],
+.tags-input button[readonly],
+fieldset[disabled] .cell-tag,
+fieldset[disabled] .tags-input input,
+fieldset[disabled] .tags-input button {
+  background-color: #eeeeee;
+  opacity: 1;
+}
+.cell-tag[disabled],
+.tags-input input[disabled],
+.tags-input button[disabled],
+fieldset[disabled] .cell-tag,
+fieldset[disabled] .tags-input input,
+fieldset[disabled] .tags-input button {
+  cursor: not-allowed;
+}
+textarea.cell-tag,
+textarea.tags-input input,
+textarea.tags-input button {
+  height: auto;
+}
+select.cell-tag,
+select.tags-input input,
+select.tags-input button {
+  height: 30px;
+  line-height: 30px;
+}
+textarea.cell-tag,
+textarea.tags-input input,
+textarea.tags-input button,
+select[multiple].cell-tag,
+select[multiple].tags-input input,
+select[multiple].tags-input button {
+  height: auto;
+}
+.cell-tag,
+.tags-input button {
+  padding: 0px 4px;
+}
+.cell-tag {
+  background-color: #fff;
+  white-space: nowrap;
+}
+.tags-input input[type=text]:focus {
+  outline: none;
+  box-shadow: none;
+  border-color: #ccc;
+}
+.completions {
+  position: absolute;
+  z-index: 110;
+  overflow: hidden;
+  border: 1px solid #ababab;
+  border-radius: 2px;
+  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
+  box-shadow: 0px 6px 10px -1px #adadad;
+  line-height: 1;
+}
+.completions select {
+  background: white;
+  outline: none;
+  border: none;
+  padding: 0px;
+  margin: 0px;
+  overflow: auto;
+  font-family: monospace;
+  font-size: 110%;
+  color: #000;
+  width: auto;
+}
+.completions select option.context {
+  color: #286090;
+}
+#kernel_logo_widget .current_kernel_logo {
+  display: none;
+  margin-top: -1px;
+  margin-bottom: -1px;
+  width: 32px;
+  height: 32px;
+}
+[dir="rtl"] #kernel_logo_widget {
+  float: left !important;
+  float: left;
+}
+.modal .modal-body .move-path {
+  display: flex;
+  flex-direction: row;
+  justify-content: space;
+  align-items: center;
+}
+.modal .modal-body .move-path .server-root {
+  padding-right: 20px;
+}
+.modal .modal-body .move-path .path-input {
+  flex: 1;
+}
+#menubar {
+  box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  -webkit-box-sizing: border-box;
+  margin-top: 1px;
+}
+#menubar .navbar {
+  border-top: 1px;
+  border-radius: 0px 0px 2px 2px;
+  margin-bottom: 0px;
+}
+#menubar .navbar-toggle {
+  float: left;
+  padding-top: 7px;
+  padding-bottom: 7px;
+  border: none;
+}
+#menubar .navbar-collapse {
+  clear: left;
+}
+[dir="rtl"] #menubar .navbar-toggle {
+  float: right;
+}
+[dir="rtl"] #menubar .navbar-collapse {
+  clear: right;
+}
+[dir="rtl"] #menubar .navbar-nav {
+  float: right;
+}
+[dir="rtl"] #menubar .nav {
+  padding-right: 0px;
+}
+[dir="rtl"] #menubar .navbar-nav > li {
+  float: right;
+}
+[dir="rtl"] #menubar .navbar-right {
+  float: left !important;
+}
+[dir="rtl"] ul.dropdown-menu {
+  text-align: right;
+  left: auto;
+}
+[dir="rtl"] ul#new-menu.dropdown-menu {
+  right: auto;
+  left: 0;
+}
+.nav-wrapper {
+  border-bottom: 1px solid #e7e7e7;
+}
+i.menu-icon {
+  padding-top: 4px;
+}
+[dir="rtl"] i.menu-icon.pull-right {
+  float: left !important;
+  float: left;
+}
+ul#help_menu li a {
+  overflow: hidden;
+  padding-right: 2.2em;
+}
+ul#help_menu li a i {
+  margin-right: -1.2em;
+}
+[dir="rtl"] ul#help_menu li a {
+  padding-left: 2.2em;
+}
+[dir="rtl"] ul#help_menu li a i {
+  margin-right: 0;
+  margin-left: -1.2em;
+}
+[dir="rtl"] ul#help_menu li a i.pull-right {
+  float: left !important;
+  float: left;
+}
+.dropdown-submenu {
+  position: relative;
+}
+.dropdown-submenu > .dropdown-menu {
+  top: 0;
+  left: 100%;
+  margin-top: -6px;
+  margin-left: -1px;
+}
+[dir="rtl"] .dropdown-submenu > .dropdown-menu {
+  right: 100%;
+  margin-right: -1px;
+}
+.dropdown-submenu:hover > .dropdown-menu {
+  display: block;
+}
+.dropdown-submenu > a:after {
+  display: inline-block;
+  font: normal normal normal 14px/1 FontAwesome;
+  font-size: inherit;
+  text-rendering: auto;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+  display: block;
+  content: "\f0da";
+  float: right;
+  color: #333333;
+  margin-top: 2px;
+  margin-right: -10px;
+}
+.dropdown-submenu > a:after.fa-pull-left {
+  margin-right: .3em;
+}
+.dropdown-submenu > a:after.fa-pull-right {
+  margin-left: .3em;
+}
+.dropdown-submenu > a:after.pull-left {
+  margin-right: .3em;
+}
+.dropdown-submenu > a:after.pull-right {
+  margin-left: .3em;
+}
+[dir="rtl"] .dropdown-submenu > a:after {
+  float: left;
+  content: "\f0d9";
+  margin-right: 0;
+  margin-left: -10px;
+}
+.dropdown-submenu:hover > a:after {
+  color: #262626;
+}
+.dropdown-submenu.pull-left {
+  float: none;
+}
+.dropdown-submenu.pull-left > .dropdown-menu {
+  left: -100%;
+  margin-left: 10px;
+}
+#notification_area {
+  float: right !important;
+  float: right;
+  z-index: 10;
+}
+[dir="rtl"] #notification_area {
+  float: left !important;
+  float: left;
+}
+.indicator_area {
+  float: right !important;
+  float: right;
+  color: #777;
+  margin-left: 5px;
+  margin-right: 5px;
+  width: 11px;
+  z-index: 10;
+  text-align: center;
+  width: auto;
+}
+[dir="rtl"] .indicator_area {
+  float: left !important;
+  float: left;
+}
+#kernel_indicator {
+  float: right !important;
+  float: right;
+  color: #777;
+  margin-left: 5px;
+  margin-right: 5px;
+  width: 11px;
+  z-index: 10;
+  text-align: center;
+  width: auto;
+  border-left: 1px solid;
+}
+#kernel_indicator .kernel_indicator_name {
+  padding-left: 5px;
+  padding-right: 5px;
+}
+[dir="rtl"] #kernel_indicator {
+  float: left !important;
+  float: left;
+  border-left: 0;
+  border-right: 1px solid;
+}
+#modal_indicator {
+  float: right !important;
+  float: right;
+  color: #777;
+  margin-left: 5px;
+  margin-right: 5px;
+  width: 11px;
+  z-index: 10;
+  text-align: center;
+  width: auto;
+}
+[dir="rtl"] #modal_indicator {
+  float: left !important;
+  float: left;
+}
+#readonly-indicator {
+  float: right !important;
+  float: right;
+  color: #777;
+  margin-left: 5px;
+  margin-right: 5px;
+  width: 11px;
+  z-index: 10;
+  text-align: center;
+  width: auto;
+  margin-top: 2px;
+  margin-bottom: 0px;
+  margin-left: 0px;
+  margin-right: 0px;
+  display: none;
+}
+.modal_indicator:before {
+  width: 1.28571429em;
+  text-align: center;
+}
+.edit_mode .modal_indicator:before {
+  display: inline-block;
+  font: normal normal normal 14px/1 FontAwesome;
+  font-size: inherit;
+  text-rendering: auto;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+  content: "\f040";
+}
+.edit_mode .modal_indicator:before.fa-pull-left {
+  margin-right: .3em;
+}
+.edit_mode .modal_indicator:before.fa-pull-right {
+  margin-left: .3em;
+}
+.edit_mode .modal_indicator:before.pull-left {
+  margin-right: .3em;
+}
+.edit_mode .modal_indicator:before.pull-right {
+  margin-left: .3em;
+}
+.command_mode .modal_indicator:before {
+  display: inline-block;
+  font: normal normal normal 14px/1 FontAwesome;
+  font-size: inherit;
+  text-rendering: auto;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+  content: ' ';
+}
+.command_mode .modal_indicator:before.fa-pull-left {
+  margin-right: .3em;
+}
+.command_mode .modal_indicator:before.fa-pull-right {
+  margin-left: .3em;
+}
+.command_mode .modal_indicator:before.pull-left {
+  margin-right: .3em;
+}
+.command_mode .modal_indicator:before.pull-right {
+  margin-left: .3em;
+}
+.kernel_idle_icon:before {
+  display: inline-block;
+  font: normal normal normal 14px/1 FontAwesome;
+  font-size: inherit;
+  text-rendering: auto;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+  content: "\f10c";
+}
+.kernel_idle_icon:before.fa-pull-left {
+  margin-right: .3em;
+}
+.kernel_idle_icon:before.fa-pull-right {
+  margin-left: .3em;
+}
+.kernel_idle_icon:before.pull-left {
+  margin-right: .3em;
+}
+.kernel_idle_icon:before.pull-right {
+  margin-left: .3em;
+}
+.kernel_busy_icon:before {
+  display: inline-block;
+  font: normal normal normal 14px/1 FontAwesome;
+  font-size: inherit;
+  text-rendering: auto;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+  content: "\f111";
+}
+.kernel_busy_icon:before.fa-pull-left {
+  margin-right: .3em;
+}
+.kernel_busy_icon:before.fa-pull-right {
+  margin-left: .3em;
+}
+.kernel_busy_icon:before.pull-left {
+  margin-right: .3em;
+}
+.kernel_busy_icon:before.pull-right {
+  margin-left: .3em;
+}
+.kernel_dead_icon:before {
+  display: inline-block;
+  font: normal normal normal 14px/1 FontAwesome;
+  font-size: inherit;
+  text-rendering: auto;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+  content: "\f1e2";
+}
+.kernel_dead_icon:before.fa-pull-left {
+  margin-right: .3em;
+}
+.kernel_dead_icon:before.fa-pull-right {
+  margin-left: .3em;
+}
+.kernel_dead_icon:before.pull-left {
+  margin-right: .3em;
+}
+.kernel_dead_icon:before.pull-right {
+  margin-left: .3em;
+}
+.kernel_disconnected_icon:before {
+  display: inline-block;
+  font: normal normal normal 14px/1 FontAwesome;
+  font-size: inherit;
+  text-rendering: auto;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+  content: "\f127";
+}
+.kernel_disconnected_icon:before.fa-pull-left {
+  margin-right: .3em;
+}
+.kernel_disconnected_icon:before.fa-pull-right {
+  margin-left: .3em;
+}
+.kernel_disconnected_icon:before.pull-left {
+  margin-right: .3em;
+}
+.kernel_disconnected_icon:before.pull-right {
+  margin-left: .3em;
+}
+.notification_widget {
+  color: #777;
+  z-index: 10;
+  background: rgba(240, 240, 240, 0.5);
+  margin-right: 4px;
+  color: #333;
+  background-color: #fff;
+  border-color: #ccc;
+}
+.notification_widget:focus,
+.notification_widget.focus {
+  color: #333;
+  background-color: #e6e6e6;
+  border-color: #8c8c8c;
+}
+.notification_widget:hover {
+  color: #333;
+  background-color: #e6e6e6;
+  border-color: #adadad;
+}
+.notification_widget:active,
+.notification_widget.active,
+.open > .dropdown-toggle.notification_widget {
+  color: #333;
+  background-color: #e6e6e6;
+  border-color: #adadad;
+}
+.notification_widget:active:hover,
+.notification_widget.active:hover,
+.open > .dropdown-toggle.notification_widget:hover,
+.notification_widget:active:focus,
+.notification_widget.active:focus,
+.open > .dropdown-toggle.notification_widget:focus,
+.notification_widget:active.focus,
+.notification_widget.active.focus,
+.open > .dropdown-toggle.notification_widget.focus {
+  color: #333;
+  background-color: #d4d4d4;
+  border-color: #8c8c8c;
+}
+.notification_widget:active,
+.notification_widget.active,
+.open > .dropdown-toggle.notification_widget {
+  background-image: none;
+}
+.notification_widget.disabled:hover,
+.notification_widget[disabled]:hover,
+fieldset[disabled] .notification_widget:hover,
+.notification_widget.disabled:focus,
+.notification_widget[disabled]:focus,
+fieldset[disabled] .notification_widget:focus,
+.notification_widget.disabled.focus,
+.notification_widget[disabled].focus,
+fieldset[disabled] .notification_widget.focus {
+  background-color: #fff;
+  border-color: #ccc;
+}
+.notification_widget .badge {
+  color: #fff;
+  background-color: #333;
+}
+.notification_widget.warning {
+  color: #fff;
+  background-color: #f0ad4e;
+  border-color: #eea236;
+}
+.notification_widget.warning:focus,
+.notification_widget.warning.focus {
+  color: #fff;
+  background-color: #ec971f;
+  border-color: #985f0d;
+}
+.notification_widget.warning:hover {
+  color: #fff;
+  background-color: #ec971f;
+  border-color: #d58512;
+}
+.notification_widget.warning:active,
+.notification_widget.warning.active,
+.open > .dropdown-toggle.notification_widget.warning {
+  color: #fff;
+  background-color: #ec971f;
+  border-color: #d58512;
+}
+.notification_widget.warning:active:hover,
+.notification_widget.warning.active:hover,
+.open > .dropdown-toggle.notification_widget.warning:hover,
+.notification_widget.warning:active:focus,
+.notification_widget.warning.active:focus,
+.open > .dropdown-toggle.notification_widget.warning:focus,
+.notification_widget.warning:active.focus,
+.notification_widget.warning.active.focus,
+.open > .dropdown-toggle.notification_widget.warning.focus {
+  color: #fff;
+  background-color: #d58512;
+  border-color: #985f0d;
+}
+.notification_widget.warning:active,
+.notification_widget.warning.active,
+.open > .dropdown-toggle.notification_widget.warning {
+  background-image: none;
+}
+.notification_widget.warning.disabled:hover,
+.notification_widget.warning[disabled]:hover,
+fieldset[disabled] .notification_widget.warning:hover,
+.notification_widget.warning.disabled:focus,
+.notification_widget.warning[disabled]:focus,
+fieldset[disabled] .notification_widget.warning:focus,
+.notification_widget.warning.disabled.focus,
+.notification_widget.warning[disabled].focus,
+fieldset[disabled] .notification_widget.warning.focus {
+  background-color: #f0ad4e;
+  border-color: #eea236;
+}
+.notification_widget.warning .badge {
+  color: #f0ad4e;
+  background-color: #fff;
+}
+.notification_widget.success {
+  color: #fff;
+  background-color: #5cb85c;
+  border-color: #4cae4c;
+}
+.notification_widget.success:focus,
+.notification_widget.success.focus {
+  color: #fff;
+  background-color: #449d44;
+  border-color: #255625;
+}
+.notification_widget.success:hover {
+  color: #fff;
+  background-color: #449d44;
+  border-color: #398439;
+}
+.notification_widget.success:active,
+.notification_widget.success.active,
+.open > .dropdown-toggle.notification_widget.success {
+  color: #fff;
+  background-color: #449d44;
+  border-color: #398439;
+}
+.notification_widget.success:active:hover,
+.notification_widget.success.active:hover,
+.open > .dropdown-toggle.notification_widget.success:hover,
+.notification_widget.success:active:focus,
+.notification_widget.success.active:focus,
+.open > .dropdown-toggle.notification_widget.success:focus,
+.notification_widget.success:active.focus,
+.notification_widget.success.active.focus,
+.open > .dropdown-toggle.notification_widget.success.focus {
+  color: #fff;
+  background-color: #398439;
+  border-color: #255625;
+}
+.notification_widget.success:active,
+.notification_widget.success.active,
+.open > .dropdown-toggle.notification_widget.success {
+  background-image: none;
+}
+.notification_widget.success.disabled:hover,
+.notification_widget.success[disabled]:hover,
+fieldset[disabled] .notification_widget.success:hover,
+.notification_widget.success.disabled:focus,
+.notification_widget.success[disabled]:focus,
+fieldset[disabled] .notification_widget.success:focus,
+.notification_widget.success.disabled.focus,
+.notification_widget.success[disabled].focus,
+fieldset[disabled] .notification_widget.success.focus {
+  background-color: #5cb85c;
+  border-color: #4cae4c;
+}
+.notification_widget.success .badge {
+  color: #5cb85c;
+  background-color: #fff;
+}
+.notification_widget.info {
+  color: #fff;
+  background-color: #5bc0de;
+  border-color: #46b8da;
+}
+.notification_widget.info:focus,
+.notification_widget.info.focus {
+  color: #fff;
+  background-color: #31b0d5;
+  border-color: #1b6d85;
+}
+.notification_widget.info:hover {
+  color: #fff;
+  background-color: #31b0d5;
+  border-color: #269abc;
+}
+.notification_widget.info:active,
+.notification_widget.info.active,
+.open > .dropdown-toggle.notification_widget.info {
+  color: #fff;
+  background-color: #31b0d5;
+  border-color: #269abc;
+}
+.notification_widget.info:active:hover,
+.notification_widget.info.active:hover,
+.open > .dropdown-toggle.notification_widget.info:hover,
+.notification_widget.info:active:focus,
+.notification_widget.info.active:focus,
+.open > .dropdown-toggle.notification_widget.info:focus,
+.notification_widget.info:active.focus,
+.notification_widget.info.active.focus,
+.open > .dropdown-toggle.notification_widget.info.focus {
+  color: #fff;
+  background-color: #269abc;
+  border-color: #1b6d85;
+}
+.notification_widget.info:active,
+.notification_widget.info.active,
+.open > .dropdown-toggle.notification_widget.info {
+  background-image: none;
+}
+.notification_widget.info.disabled:hover,
+.notification_widget.info[disabled]:hover,
+fieldset[disabled] .notification_widget.info:hover,
+.notification_widget.info.disabled:focus,
+.notification_widget.info[disabled]:focus,
+fieldset[disabled] .notification_widget.info:focus,
+.notification_widget.info.disabled.focus,
+.notification_widget.info[disabled].focus,
+fieldset[disabled] .notification_widget.info.focus {
+  background-color: #5bc0de;
+  border-color: #46b8da;
+}
+.notification_widget.info .badge {
+  color: #5bc0de;
+  background-color: #fff;
+}
+.notification_widget.danger {
+  color: #fff;
+  background-color: #d9534f;
+  border-color: #d43f3a;
+}
+.notification_widget.danger:focus,
+.notification_widget.danger.focus {
+  color: #fff;
+  background-color: #c9302c;
+  border-color: #761c19;
+}
+.notification_widget.danger:hover {
+  color: #fff;
+  background-color: #c9302c;
+  border-color: #ac2925;
+}
+.notification_widget.danger:active,
+.notification_widget.danger.active,
+.open > .dropdown-toggle.notification_widget.danger {
+  color: #fff;
+  background-color: #c9302c;
+  border-color: #ac2925;
+}
+.notification_widget.danger:active:hover,
+.notification_widget.danger.active:hover,
+.open > .dropdown-toggle.notification_widget.danger:hover,
+.notification_widget.danger:active:focus,
+.notification_widget.danger.active:focus,
+.open > .dropdown-toggle.notification_widget.danger:focus,
+.notification_widget.danger:active.focus,
+.notification_widget.danger.active.focus,
+.open > .dropdown-toggle.notification_widget.danger.focus {
+  color: #fff;
+  background-color: #ac2925;
+  border-color: #761c19;
+}
+.notification_widget.danger:active,
+.notification_widget.danger.active,
+.open > .dropdown-toggle.notification_widget.danger {
+  background-image: none;
+}
+.notification_widget.danger.disabled:hover,
+.notification_widget.danger[disabled]:hover,
+fieldset[disabled] .notification_widget.danger:hover,
+.notification_widget.danger.disabled:focus,
+.notification_widget.danger[disabled]:focus,
+fieldset[disabled] .notification_widget.danger:focus,
+.notification_widget.danger.disabled.focus,
+.notification_widget.danger[disabled].focus,
+fieldset[disabled] .notification_widget.danger.focus {
+  background-color: #d9534f;
+  border-color: #d43f3a;
+}
+.notification_widget.danger .badge {
+  color: #d9534f;
+  background-color: #fff;
+}
+div#pager {
+  background-color: #fff;
+  font-size: 14px;
+  line-height: 20px;
+  overflow: hidden;
+  display: none;
+  position: fixed;
+  bottom: 0px;
+  width: 100%;
+  max-height: 50%;
+  padding-top: 8px;
+  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
+  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
+  /* Display over codemirror */
+  z-index: 100;
+  /* Hack which prevents jquery ui resizable from changing top. */
+  top: auto !important;
+}
+div#pager pre {
+  line-height: 1.21429em;
+  color: #000;
+  background-color: #f7f7f7;
+  padding: 0.4em;
+}
+div#pager #pager-button-area {
+  position: absolute;
+  top: 8px;
+  right: 20px;
+}
+div#pager #pager-contents {
+  position: relative;
+  overflow: auto;
+  width: 100%;
+  height: 100%;
+}
+div#pager #pager-contents #pager-container {
+  position: relative;
+  padding: 15px 0px;
+  box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  -webkit-box-sizing: border-box;
+}
+div#pager .ui-resizable-handle {
+  top: 0px;
+  height: 8px;
+  background: #f7f7f7;
+  border-top: 1px solid #cfcfcf;
+  border-bottom: 1px solid #cfcfcf;
+  /* This injects handle bars (a short, wide = symbol) for 
+        the resize handle. */
+}
+div#pager .ui-resizable-handle::after {
+  content: '';
+  top: 2px;
+  left: 50%;
+  height: 3px;
+  width: 30px;
+  margin-left: -15px;
+  position: absolute;
+  border-top: 1px solid #cfcfcf;
+}
+.quickhelp {
+  /* Old browsers */
+  display: -webkit-box;
+  -webkit-box-orient: horizontal;
+  -webkit-box-align: stretch;
+  display: -moz-box;
+  -moz-box-orient: horizontal;
+  -moz-box-align: stretch;
+  display: box;
+  box-orient: horizontal;
+  box-align: stretch;
+  /* Modern browsers */
+  display: flex;
+  flex-direction: row;
+  align-items: stretch;
+  line-height: 1.8em;
+}
+.shortcut_key {
+  display: inline-block;
+  width: 21ex;
+  text-align: right;
+  font-family: monospace;
+}
+.shortcut_descr {
+  display: inline-block;
+  /* Old browsers */
+  -webkit-box-flex: 1;
+  -moz-box-flex: 1;
+  box-flex: 1;
+  /* Modern browsers */
+  flex: 1;
+}
+span.save_widget {
+  height: 30px;
+  margin-top: 4px;
+  display: flex;
+  justify-content: flex-start;
+  align-items: baseline;
+  width: 50%;
+  flex: 1;
+}
+span.save_widget span.filename {
+  height: 100%;
+  line-height: 1em;
+  margin-left: 16px;
+  border: none;
+  font-size: 146.5%;
+  text-overflow: ellipsis;
+  overflow: hidden;
+  white-space: nowrap;
+  border-radius: 2px;
+}
+span.save_widget span.filename:hover {
+  background-color: #e6e6e6;
+}
+[dir="rtl"] span.save_widget.pull-left {
+  float: right !important;
+  float: right;
+}
+[dir="rtl"] span.save_widget span.filename {
+  margin-left: 0;
+  margin-right: 16px;
+}
+span.checkpoint_status,
+span.autosave_status {
+  font-size: small;
+  white-space: nowrap;
+  padding: 0 5px;
+}
+@media (max-width: 767px) {
+  span.save_widget {
+    font-size: small;
+    padding: 0 0 0 5px;
+  }
+  span.checkpoint_status,
+  span.autosave_status {
+    display: none;
+  }
+}
+@media (min-width: 768px) and (max-width: 991px) {
+  span.checkpoint_status {
+    display: none;
+  }
+  span.autosave_status {
+    font-size: x-small;
+  }
+}
+.toolbar {
+  padding: 0px;
+  margin-left: -5px;
+  margin-top: 2px;
+  margin-bottom: 5px;
+  box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  -webkit-box-sizing: border-box;
+}
+.toolbar select,
+.toolbar label {
+  width: auto;
+  vertical-align: middle;
+  margin-right: 2px;
+  margin-bottom: 0px;
+  display: inline;
+  font-size: 92%;
+  margin-left: 0.3em;
+  margin-right: 0.3em;
+  padding: 0px;
+  padding-top: 3px;
+}
+.toolbar .btn {
+  padding: 2px 8px;
+}
+.toolbar .btn-group {
+  margin-top: 0px;
+  margin-left: 5px;
+}
+.toolbar-btn-label {
+  margin-left: 6px;
+}
+#maintoolbar {
+  margin-bottom: -3px;
+  margin-top: -8px;
+  border: 0px;
+  min-height: 27px;
+  margin-left: 0px;
+  padding-top: 11px;
+  padding-bottom: 3px;
+}
+#maintoolbar .navbar-text {
+  float: none;
+  vertical-align: middle;
+  text-align: right;
+  margin-left: 5px;
+  margin-right: 0px;
+  margin-top: 0px;
+}
+.select-xs {
+  height: 24px;
+}
+[dir="rtl"] .btn-group > .btn,
+.btn-group-vertical > .btn {
+  float: right;
+}
+.pulse,
+.dropdown-menu > li > a.pulse,
+li.pulse > a.dropdown-toggle,
+li.pulse.open > a.dropdown-toggle {
+  background-color: #F37626;
+  color: white;
+}
+/**
+ * Primary styles
+ *
+ * Author: Jupyter Development Team
+ */
+/** WARNING IF YOU ARE EDITTING THIS FILE, if this is a .css file, It has a lot
+ * of chance of beeing generated from the ../less/[samename].less file, you can
+ * try to get back the less file by reverting somme commit in history
+ **/
+/*
+ * We'll try to get something pretty, so we
+ * have some strange css to have the scroll bar on
+ * the left with fix button on the top right of the tooltip
+ */
+@-moz-keyframes fadeOut {
+  from {
+    opacity: 1;
+  }
+  to {
+    opacity: 0;
+  }
+}
+@-webkit-keyframes fadeOut {
+  from {
+    opacity: 1;
+  }
+  to {
+    opacity: 0;
+  }
+}
+@-moz-keyframes fadeIn {
+  from {
+    opacity: 0;
+  }
+  to {
+    opacity: 1;
+  }
+}
+@-webkit-keyframes fadeIn {
+  from {
+    opacity: 0;
+  }
+  to {
+    opacity: 1;
+  }
+}
+/*properties of tooltip after "expand"*/
+.bigtooltip {
+  overflow: auto;
+  height: 200px;
+  -webkit-transition-property: height;
+  -webkit-transition-duration: 500ms;
+  -moz-transition-property: height;
+  -moz-transition-duration: 500ms;
+  transition-property: height;
+  transition-duration: 500ms;
+}
+/*properties of tooltip before "expand"*/
+.smalltooltip {
+  -webkit-transition-property: height;
+  -webkit-transition-duration: 500ms;
+  -moz-transition-property: height;
+  -moz-transition-duration: 500ms;
+  transition-property: height;
+  transition-duration: 500ms;
+  text-overflow: ellipsis;
+  overflow: hidden;
+  height: 80px;
+}
+.tooltipbuttons {
+  position: absolute;
+  padding-right: 15px;
+  top: 0px;
+  right: 0px;
+}
+.tooltiptext {
+  /*avoid the button to overlap on some docstring*/
+  padding-right: 30px;
+}
+.ipython_tooltip {
+  max-width: 700px;
+  /*fade-in animation when inserted*/
+  -webkit-animation: fadeOut 400ms;
+  -moz-animation: fadeOut 400ms;
+  animation: fadeOut 400ms;
+  -webkit-animation: fadeIn 400ms;
+  -moz-animation: fadeIn 400ms;
+  animation: fadeIn 400ms;
+  vertical-align: middle;
+  background-color: #f7f7f7;
+  overflow: visible;
+  border: #ababab 1px solid;
+  outline: none;
+  padding: 3px;
+  margin: 0px;
+  padding-left: 7px;
+  font-family: monospace;
+  min-height: 50px;
+  -moz-box-shadow: 0px 6px 10px -1px #adadad;
+  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
+  box-shadow: 0px 6px 10px -1px #adadad;
+  border-radius: 2px;
+  position: absolute;
+  z-index: 1000;
+}
+.ipython_tooltip a {
+  float: right;
+}
+.ipython_tooltip .tooltiptext pre {
+  border: 0;
+  border-radius: 0;
+  font-size: 100%;
+  background-color: #f7f7f7;
+}
+.pretooltiparrow {
+  left: 0px;
+  margin: 0px;
+  top: -16px;
+  width: 40px;
+  height: 16px;
+  overflow: hidden;
+  position: absolute;
+}
+.pretooltiparrow:before {
+  background-color: #f7f7f7;
+  border: 1px #ababab solid;
+  z-index: 11;
+  content: "";
+  position: absolute;
+  left: 15px;
+  top: 10px;
+  width: 25px;
+  height: 25px;
+  -webkit-transform: rotate(45deg);
+  -moz-transform: rotate(45deg);
+  -ms-transform: rotate(45deg);
+  -o-transform: rotate(45deg);
+}
+ul.typeahead-list i {
+  margin-left: -10px;
+  width: 18px;
+}
+[dir="rtl"] ul.typeahead-list i {
+  margin-left: 0;
+  margin-right: -10px;
+}
+ul.typeahead-list {
+  max-height: 80vh;
+  overflow: auto;
+}
+ul.typeahead-list > li > a {
+  /** Firefox bug **/
+  /* see https://github.com/jupyter/notebook/issues/559 */
+  white-space: normal;
+}
+ul.typeahead-list  > li > a.pull-right {
+  float: left !important;
+  float: left;
+}
+[dir="rtl"] .typeahead-list {
+  text-align: right;
+}
+.cmd-palette .modal-body {
+  padding: 7px;
+}
+.cmd-palette form {
+  background: white;
+}
+.cmd-palette input {
+  outline: none;
+}
+.no-shortcut {
+  min-width: 20px;
+  color: transparent;
+}
+[dir="rtl"] .no-shortcut.pull-right {
+  float: left !important;
+  float: left;
+}
+[dir="rtl"] .command-shortcut.pull-right {
+  float: left !important;
+  float: left;
+}
+.command-shortcut:before {
+  content: "(command mode)";
+  padding-right: 3px;
+  color: #777777;
+}
+.edit-shortcut:before {
+  content: "(edit)";
+  padding-right: 3px;
+  color: #777777;
+}
+[dir="rtl"] .edit-shortcut.pull-right {
+  float: left !important;
+  float: left;
+}
+#find-and-replace #replace-preview .match,
+#find-and-replace #replace-preview .insert {
+  background-color: #BBDEFB;
+  border-color: #90CAF9;
+  border-style: solid;
+  border-width: 1px;
+  border-radius: 0px;
+}
+[dir="ltr"] #find-and-replace .input-group-btn + .form-control {
+  border-left: none;
+}
+[dir="rtl"] #find-and-replace .input-group-btn + .form-control {
+  border-right: none;
+}
+#find-and-replace #replace-preview .replace .match {
+  background-color: #FFCDD2;
+  border-color: #EF9A9A;
+  border-radius: 0px;
+}
+#find-and-replace #replace-preview .replace .insert {
+  background-color: #C8E6C9;
+  border-color: #A5D6A7;
+  border-radius: 0px;
+}
+#find-and-replace #replace-preview {
+  max-height: 60vh;
+  overflow: auto;
+}
+#find-and-replace #replace-preview pre {
+  padding: 5px 10px;
+}
+.terminal-app {
+  background: #EEE;
+}
+.terminal-app #header {
+  background: #fff;
+  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
+  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
+}
+.terminal-app .terminal {
+  width: 100%;
+  float: left;
+  font-family: monospace;
+  color: white;
+  background: black;
+  padding: 0.4em;
+  border-radius: 2px;
+  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
+  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
+}
+.terminal-app .terminal,
+.terminal-app .terminal dummy-screen {
+  line-height: 1em;
+  font-size: 14px;
+}
+.terminal-app .terminal .xterm-rows {
+  padding: 10px;
+}
+.terminal-app .terminal-cursor {
+  color: black;
+  background: white;
+}
+.terminal-app #terminado-container {
+  margin-top: 20px;
+}
+/*# sourceMappingURL=style.min.css.map */
+    </style>
+<style type="text/css">
+    .highlight .hll { background-color: #ffffcc }
+.highlight  { background: #f8f8f8; }
+.highlight .c { color: #408080; font-style: italic } /* Comment */
+.highlight .err { border: 1px solid #FF0000 } /* Error */
+.highlight .k { color: #008000; font-weight: bold } /* Keyword */
+.highlight .o { color: #666666 } /* Operator */
+.highlight .ch { color: #408080; font-style: italic } /* Comment.Hashbang */
+.highlight .cm { color: #408080; font-style: italic } /* Comment.Multiline */
+.highlight .cp { color: #BC7A00 } /* Comment.Preproc */
+.highlight .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */
+.highlight .c1 { color: #408080; font-style: italic } /* Comment.Single */
+.highlight .cs { color: #408080; font-style: italic } /* Comment.Special */
+.highlight .gd { color: #A00000 } /* Generic.Deleted */
+.highlight .ge { font-style: italic } /* Generic.Emph */
+.highlight .gr { color: #FF0000 } /* Generic.Error */
+.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
+.highlight .gi { color: #00A000 } /* Generic.Inserted */
+.highlight .go { color: #888888 } /* Generic.Output */
+.highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
+.highlight .gs { font-weight: bold } /* Generic.Strong */
+.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
+.highlight .gt { color: #0044DD } /* Generic.Traceback */
+.highlight .kc { color: #008000; font-weight: bold } /* Keyword.Constant */
+.highlight .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */
+.highlight .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */
+.highlight .kp { color: #008000 } /* Keyword.Pseudo */
+.highlight .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */
+.highlight .kt { color: #B00040 } /* Keyword.Type */
+.highlight .m { color: #666666 } /* Literal.Number */
+.highlight .s { color: #BA2121 } /* Literal.String */
+.highlight .na { color: #7D9029 } /* Name.Attribute */
+.highlight .nb { color: #008000 } /* Name.Builtin */
+.highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */
+.highlight .no { color: #880000 } /* Name.Constant */
+.highlight .nd { color: #AA22FF } /* Name.Decorator */
+.highlight .ni { color: #999999; font-weight: bold } /* Name.Entity */
+.highlight .ne { color: #D2413A; font-weight: bold } /* Name.Exception */
+.highlight .nf { color: #0000FF } /* Name.Function */
+.highlight .nl { color: #A0A000 } /* Name.Label */
+.highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
+.highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */
+.highlight .nv { color: #19177C } /* Name.Variable */
+.highlight .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */
+.highlight .w { color: #bbbbbb } /* Text.Whitespace */
+.highlight .mb { color: #666666 } /* Literal.Number.Bin */
+.highlight .mf { color: #666666 } /* Literal.Number.Float */
+.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 */
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+.highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */
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+.highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */
+.highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */
+.highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */
+.highlight .sx { color: #008000 } /* Literal.String.Other */
+.highlight .sr { color: #BB6688 } /* Literal.String.Regex */
+.highlight .s1 { color: #BA2121 } /* Literal.String.Single */
+.highlight .ss { color: #19177C } /* Literal.String.Symbol */
+.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
+.highlight .fm { color: #0000FF } /* Name.Function.Magic */
+.highlight .vc { color: #19177C } /* Name.Variable.Class */
+.highlight .vg { color: #19177C } /* Name.Variable.Global */
+.highlight .vi { color: #19177C } /* Name.Variable.Instance */
+.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">
+/* Overrides of notebook CSS for static HTML export */
+body {
+  overflow: visible;
+  padding: 8px;
+}
+
+div#notebook {
+  overflow: visible;
+  border-top: none;
+}@media print {
+  div.cell {
+    display: block;
+    page-break-inside: avoid;
+  } 
+  div.output_wrapper { 
+    display: block;
+    page-break-inside: avoid; 
+  }
+  div.output { 
+    display: block;
+    page-break-inside: avoid; 
+  }
+}
+</style>
+
+<!-- Custom stylesheet, it must be in the same directory as the html file -->
+<link rel="stylesheet" href="custom.css">
+
+<!-- Loading mathjax macro -->
+<!-- Load mathjax -->
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/latest.js?config=TeX-AMS_HTML"></script>
+    <!-- MathJax configuration -->
+    <script type="text/x-mathjax-config">
+    MathJax.Hub.Config({
+        tex2jax: {
+            inlineMath: [ ['$','$'], ["\\(","\\)"] ],
+            displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
+            processEscapes: true,
+            processEnvironments: true
+        },
+        // Center justify equations in code and markdown cells. Elsewhere
+        // we use CSS to left justify single line equations in code cells.
+        displayAlign: 'center',
+        "HTML-CSS": {
+            styles: {'.MathJax_Display': {"margin": 0}},
+            linebreaks: { automatic: true }
+        }
+    });
+    </script>
+    <!-- End of mathjax configuration --></head>
+<body>
+  <div tabindex="-1" id="notebook" class="border-box-sizing">
+    <div class="container" id="notebook-container">
+
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[3]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="o">%</span><span class="k">load_ext</span> autoreload
+<span class="o">%</span><span class="k">autoreload</span> 2
+</pre></div>
+
+    </div>
+</div>
+</div>
+
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[4]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">pathlib</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="kn">from</span> <span class="nn">matplotlib</span> <span class="k">import</span> <span class="n">colors</span>
+<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
+<span class="kn">import</span> <span class="nn">re</span>
+<span class="kn">import</span> <span class="nn">shutil</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">scipy.stats</span>
+
+<span class="kn">import</span> <span class="nn">exdir</span>
+<span class="kn">import</span> <span class="nn">expipe</span>
+<span class="kn">from</span> <span class="nn">distutils.dir_util</span> <span class="k">import</span> <span class="n">copy_tree</span>
+<span class="kn">import</span> <span class="nn">septum_mec</span>
+<span class="kn">import</span> <span class="nn">septum_mec.analysis.data_processing</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="kn">import</span> <span class="nn">septum_mec.analysis.registration</span>
+<span class="kn">from</span> <span class="nn">septum_mec.analysis.plotting</span> <span class="k">import</span> <span class="n">violinplot</span><span class="p">,</span> <span class="n">despine</span><span class="p">,</span> <span class="n">plot_bootstrap_timeseries</span>
+<span class="kn">from</span> <span class="nn">phase_precession</span> <span class="k">import</span> <span class="n">cl_corr</span>
+<span class="kn">from</span> <span class="nn">spike_statistics.core</span> <span class="k">import</span> <span class="n">permutation_resampling</span>
+<span class="kn">import</span> <span class="nn">matplotlib.mlab</span> <span class="k">as</span> <span class="nn">mlab</span>
+<span class="kn">import</span> <span class="nn">scipy.signal</span> <span class="k">as</span> <span class="nn">ss</span>
+<span class="kn">from</span> <span class="nn">scipy.interpolate</span> <span class="k">import</span> <span class="n">interp1d</span>
+<span class="kn">from</span> <span class="nn">septum_mec.analysis.plotting</span> <span class="k">import</span> <span class="n">regplot</span>
+<span class="kn">from</span> <span class="nn">skimage</span> <span class="k">import</span> <span class="n">measure</span>
+<span class="kn">from</span> <span class="nn">tqdm.notebook</span> <span class="k">import</span> <span class="n">tqdm_notebook</span> <span class="k">as</span> <span class="n">tqdm</span>
+<span class="n">tqdm</span><span class="o">.</span><span class="n">pandas</span><span class="p">()</span>
+<span class="kn">import</span> <span class="nn">scipy.signal</span> <span class="k">as</span> <span class="nn">ss</span>
+
+
+<span class="kn">from</span> <span class="nn">tqdm.notebook</span> <span class="k">import</span> <span class="n">tqdm_notebook</span> <span class="k">as</span> <span class="n">tqdm</span>
+<span class="n">tqdm</span><span class="o">.</span><span class="n">pandas</span><span class="p">()</span>
+
+<span class="kn">import</span> <span class="nn">pycwt</span>
+</pre></div>
+
+    </div>
+</div>
+</div>
+
+<div class="output_wrapper">
+<div class="output">
+
+
+<div class="output_area">
+
+    <div class="prompt"></div>
+
+
+<div class="output_subarea output_stream output_stderr output_text">
+<pre>14:40:25 [I] klustakwik KlustaKwik2 version 0.2.6
+/home/mikkel/.virtualenvs/expipe/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject
+  return f(*args, **kwds)
+/home/mikkel/.virtualenvs/expipe/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject
+  return f(*args, **kwds)
+/home/mikkel/.virtualenvs/expipe/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject
+  return f(*args, **kwds)
+</pre>
+</div>
+</div>
+
+</div>
+</div>
+
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[5]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">colors</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;#1b9e77&#39;</span><span class="p">,</span><span class="s1">&#39;#d95f02&#39;</span><span class="p">,</span><span class="s1">&#39;#7570b3&#39;</span><span class="p">,</span><span class="s1">&#39;#e7298a&#39;</span><span class="p">,</span> <span class="s1">&#39;#4393c3&#39;</span><span class="p">,</span> <span class="s1">&#39;#d6604d&#39;</span><span class="p">]</span>
+<span class="n">labels</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Baseline I&#39;</span><span class="p">,</span> <span class="s1">&#39;11 Hz&#39;</span><span class="p">,</span> <span class="s1">&#39;Baseline II&#39;</span><span class="p">,</span> <span class="s1">&#39;30 Hz&#39;</span><span class="p">,</span> <span class="s1">&#39;Baseline&#39;</span><span class="p">,</span> <span class="s1">&#39;Stimulated&#39;</span><span class="p">]</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">&#39;figure.dpi&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="mi">150</span>
+<span class="n">figsize_violin</span> <span class="o">=</span> <span class="p">(</span><span class="mf">1.7</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span>
+<span class="n">figsize_speed</span> <span class="o">=</span> <span class="p">(</span><span class="mi">4</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">rc</span><span class="p">(</span><span class="s1">&#39;axes&#39;</span><span class="p">,</span> <span class="n">titlesize</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
+</pre></div>
+
+    </div>
+</div>
+</div>
+
+</div>
+<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-ipython3"><pre><span></span><span class="n">project_path</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">project_path</span><span class="p">()</span>
+<span class="n">project</span> <span class="o">=</span> <span class="n">expipe</span><span class="o">.</span><span class="n">get_project</span><span class="p">(</span><span class="n">project_path</span><span class="p">)</span>
+<span class="n">actions</span> <span class="o">=</span> <span class="n">project</span><span class="o">.</span><span class="n">actions</span>
+
+<span class="n">output_path</span> <span class="o">=</span> <span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">(</span><span class="s2">&quot;output&quot;</span><span class="p">)</span> <span class="o">/</span> <span class="s2">&quot;lfp_speed&quot;</span>
+<span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">&quot;statistics&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">parents</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">&quot;figures&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">parents</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+</pre></div>
+
+    </div>
+</div>
+</div>
+
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[8]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data_action</span> <span class="o">=</span> <span class="n">actions</span><span class="p">[</span><span class="s1">&#39;lfp_speed&#39;</span><span class="p">]</span>
+<span class="n">output</span> <span class="o">=</span> <span class="n">exdir</span><span class="o">.</span><span class="n">File</span><span class="p">(</span>
+    <span class="n">data_action</span><span class="o">.</span><span class="n">data_path</span><span class="p">(</span><span class="s1">&#39;results&#39;</span><span class="p">),</span>
+    <span class="n">plugins</span> <span class="o">=</span> <span class="p">[</span><span class="n">exdir</span><span class="o">.</span><span class="n">plugins</span><span class="o">.</span><span class="n">git_lfs</span><span class="p">,</span> <span class="n">exdir</span><span class="o">.</span><span class="n">plugins</span><span class="o">.</span><span class="n">quantities</span><span class="p">])</span>
+
+<span class="n">ignore</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;wavelet_power&#39;</span><span class="p">,</span> <span class="s1">&#39;wavelet_freqs&#39;</span><span class="p">,</span> <span class="s1">&#39;signal&#39;</span><span class="p">]</span>
+<span class="n">results</span> <span class="o">=</span> <span class="p">[]</span>
+<span class="k">for</span> <span class="n">group</span> <span class="ow">in</span> <span class="n">output</span><span class="o">.</span><span class="n">values</span><span class="p">():</span>
+    <span class="n">d</span> <span class="o">=</span> <span class="n">group</span><span class="o">.</span><span class="n">attrs</span><span class="o">.</span><span class="n">to_dict</span><span class="p">()</span>
+    <span class="n">d</span><span class="o">.</span><span class="n">update</span><span class="p">({</span><span class="n">k</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">v</span><span class="o">.</span><span class="n">data</span><span class="p">)</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">group</span><span class="o">.</span><span class="n">items</span><span class="p">()</span> <span class="k">if</span> <span class="n">k</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">ignore</span><span class="p">})</span>
+    <span class="n">results</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">d</span><span class="p">)</span>
+<span class="n">results</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">results</span><span class="p">)</span>
+</pre></div>
+
+    </div>
+</div>
+</div>
+
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[9]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">results</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
+</pre></div>
+
+    </div>
+</div>
+</div>
+
+<div class="output_wrapper">
+<div class="output">
+
+
+<div class="output_area">
+
+    <div class="prompt output_prompt">Out[9]:</div>
+
+
+
+<div class="output_html rendered_html output_subarea output_execute_result">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>freq_score</th>
+      <th>sample_rate</th>
+      <th>power_score</th>
+      <th>action</th>
+      <th>channel_group</th>
+      <th>max_speed</th>
+      <th>min_speed</th>
+      <th>position_low_pass_frequency</th>
+      <th>mean_freq</th>
+      <th>mean_power</th>
+      <th>speed</th>
+      <th>speed_bins</th>
+      <th>theta_freq</th>
+      <th>theta_power</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>0</th>
+      <td>0.191729</td>
+      <td>1000.0</td>
+      <td>0.432532</td>
+      <td>1833-010719-1</td>
+      <td>0</td>
+      <td>1</td>
+      <td>0.02</td>
+      <td>6</td>
+      <td>[7.154332133229601, 7.106500202042717, 7.13862...</td>
+      <td>[18.005621200653046, 18.66435212100411, 20.504...</td>
+      <td>[0.02795137493203615, 0.0283076211590443, 0.02...</td>
+      <td>[0.02, 0.04, 0.06, 0.08, 0.1, 0.12000000000000...</td>
+      <td>[6.799999999999997, 6.799999999999997, 6.79999...</td>
+      <td>[3.990633076071412, 3.992883430179942, 3.99513...</td>
+    </tr>
+    <tr>
+      <th>1</th>
+      <td>0.255882</td>
+      <td>1000.0</td>
+      <td>0.434938</td>
+      <td>1833-010719-1</td>
+      <td>1</td>
+      <td>1</td>
+      <td>0.02</td>
+      <td>6</td>
+      <td>[7.035831237674811, 7.05973079549096, 7.120455...</td>
+      <td>[16.966011451769536, 17.60417640800431, 19.452...</td>
+      <td>[0.02795137493203615, 0.0283076211590443, 0.02...</td>
+      <td>[0.02, 0.04, 0.06, 0.08, 0.1, 0.12000000000000...</td>
+      <td>[6.799999999999997, 6.799999999999997, 6.79999...</td>
+      <td>[3.649171825378523, 3.6511305369806806, 3.6530...</td>
+    </tr>
+    <tr>
+      <th>2</th>
+      <td>0.169116</td>
+      <td>1000.0</td>
+      <td>0.338942</td>
+      <td>1833-010719-1</td>
+      <td>2</td>
+      <td>1</td>
+      <td>0.02</td>
+      <td>6</td>
+      <td>[7.156957284750235, 7.121730043055997, 7.17760...</td>
+      <td>[14.747162413722597, 15.548073560884317, 16.81...</td>
+      <td>[0.02795137493203615, 0.0283076211590443, 0.02...</td>
+      <td>[0.02, 0.04, 0.06, 0.08, 0.1, 0.12000000000000...</td>
+      <td>[6.799999999999997, 6.799999999999997, 6.79999...</td>
+      <td>[3.069575227276876, 3.0713927350182493, 3.0732...</td>
+    </tr>
+    <tr>
+      <th>3</th>
+      <td>0.071480</td>
+      <td>1000.0</td>
+      <td>0.141405</td>
+      <td>1833-010719-1</td>
+      <td>3</td>
+      <td>1</td>
+      <td>0.02</td>
+      <td>6</td>
+      <td>[7.256682286107137, 7.237350035531646, 7.27254...</td>
+      <td>[13.017027147293039, 12.651121743582284, 13.91...</td>
+      <td>[0.02795137493203615, 0.0283076211590443, 0.02...</td>
+      <td>[0.02, 0.04, 0.06, 0.08, 0.1, 0.12000000000000...</td>
+      <td>[6.399999999999999, 6.399999999999999, 6.39999...</td>
+      <td>[1.9508693636836856, 1.9523977795413874, 1.953...</td>
+    </tr>
+    <tr>
+      <th>4</th>
+      <td>0.216792</td>
+      <td>1000.0</td>
+      <td>-0.012191</td>
+      <td>1833-010719-1</td>
+      <td>4</td>
+      <td>1</td>
+      <td>0.02</td>
+      <td>6</td>
+      <td>[7.095817125902336, 7.050223640391819, 7.12869...</td>
+      <td>[32.456068185302364, 23.01562486642484, 21.395...</td>
+      <td>[0.02795137493203615, 0.0283076211590443, 0.02...</td>
+      <td>[0.02, 0.04, 0.06, 0.08, 0.1, 0.12000000000000...</td>
+      <td>[6.399999999999999, 6.399999999999999, 6.39999...</td>
+      <td>[1.2545438245339104, 1.2553897239251606, 1.256...</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+</div>
+
+</div>
+
+</div>
+</div>
+
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[10]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">identify_neurons</span> <span class="o">=</span> <span class="n">actions</span><span class="p">[</span><span class="s1">&#39;identify-neurons&#39;</span><span class="p">]</span>
+<span class="n">sessions</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">identify_neurons</span><span class="o">.</span><span class="n">data_path</span><span class="p">(</span><span class="s1">&#39;sessions&#39;</span><span class="p">))</span>
+</pre></div>
+
+    </div>
+</div>
+</div>
+
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[11]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">results</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">sessions</span><span class="p">,</span> <span class="n">on</span><span class="o">=</span><span class="s1">&#39;action&#39;</span><span class="p">)</span>
+</pre></div>
+
+    </div>
+</div>
+</div>
+
+</div>
+<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">
+<h1 id="Frequency-score">Frequency score<a class="anchor-link" href="#Frequency-score">&#182;</a></h1>
+</div>
+</div>
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[12]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">query_base_i</span> <span class="o">=</span> <span class="s1">&#39;baseline and Hz11&#39;</span>
+<span class="n">query_stim_11</span> <span class="o">=</span> <span class="s1">&#39;stimulated and Hz11&#39;</span>
+
+<span class="n">query_base_ii</span> <span class="o">=</span> <span class="s1">&#39;baseline and Hz30&#39;</span>
+<span class="n">query_stim_30</span> <span class="o">=</span> <span class="s1">&#39;stimulated and Hz30&#39;</span>
+
+<span class="n">query_base_combined</span> <span class="o">=</span> <span class="s1">&#39;baseline and Hz11 or Hz30&#39;</span>
+<span class="n">query_stim_combined</span> <span class="o">=</span> <span class="s1">&#39;stimulated and Hz11 or Hz30&#39;</span>
+</pre></div>
+
+    </div>
+</div>
+</div>
+
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[13]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">stuff</span> <span class="o">=</span> <span class="s1">&#39;freq_score&#39;</span>
+<span class="n">base</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">query_base_i</span><span class="p">)[</span><span class="n">stuff</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
+<span class="n">stim</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">query_stim_11</span><span class="p">)[</span><span class="n">stuff</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</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="n">figsize_violin</span><span class="p">)</span>
+<span class="n">violinplot</span><span class="p">(</span><span class="n">base</span><span class="p">,</span> <span class="n">stim</span><span class="p">,</span> <span class="n">colors</span><span class="o">=</span><span class="n">colors</span><span class="p">)</span>
+<span class="c1"># plt.ylim(-0.02, 0.5)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">&quot;figures&quot;</span> <span class="o">/</span> <span class="s2">&quot;frequency_score_11.svg&quot;</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">&quot;tight&quot;</span><span class="p">,</span> <span class="n">transparent</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">&quot;figures&quot;</span> <span class="o">/</span> <span class="s2">&quot;frequency_score_11.png&quot;</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">&quot;tight&quot;</span><span class="p">,</span> <span class="n">transparent</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="n">base</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">query_base_ii</span><span class="p">)[</span><span class="n">stuff</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
+<span class="n">stim</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">query_stim_30</span><span class="p">)[</span><span class="n">stuff</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</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="n">figsize_violin</span><span class="p">)</span>
+<span class="n">violinplot</span><span class="p">(</span><span class="n">base</span><span class="p">,</span> <span class="n">stim</span><span class="p">,</span> <span class="n">colors</span><span class="o">=</span><span class="n">colors</span><span class="p">[</span><span class="mi">2</span><span class="p">:])</span>
+<span class="c1"># plt.ylim(-0.02, 0.5)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">&quot;figures&quot;</span> <span class="o">/</span> <span class="s2">&quot;frequency_score_30.svg&quot;</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">&quot;tight&quot;</span><span class="p">,</span> <span class="n">transparent</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">&quot;figures&quot;</span> <span class="o">/</span> <span class="s2">&quot;frequency_score_30.png&quot;</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">&quot;tight&quot;</span><span class="p">,</span> <span class="n">transparent</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="n">base</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">query_base_combined</span><span class="p">)[</span><span class="n">stuff</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
+<span class="n">stim</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">query_stim_combined</span><span class="p">)[</span><span class="n">stuff</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</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="n">figsize_violin</span><span class="p">)</span>
+<span class="n">violinplot</span><span class="p">(</span><span class="n">base</span><span class="p">,</span> <span class="n">stim</span><span class="p">,</span> <span class="n">colors</span><span class="o">=</span><span class="n">colors</span><span class="p">[</span><span class="mi">4</span><span class="p">:])</span>
+<span class="c1"># plt.ylim(-0.02, 0.5)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">&quot;figures&quot;</span> <span class="o">/</span> <span class="s2">&quot;frequency_score_combined.svg&quot;</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">&quot;tight&quot;</span><span class="p">,</span> <span class="n">transparent</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">&quot;figures&quot;</span> <span class="o">/</span> <span class="s2">&quot;frequency_score_combined.png&quot;</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">&quot;tight&quot;</span><span class="p">,</span> <span class="n">transparent</span><span class="o">=</span><span class="kc">True</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_subarea output_stream output_stdout output_text">
+<pre>U-test: U value 37221.0 p value 1.9679601390031718e-50
+U-test: U value 16950.0 p value 1.642880876541107e-32
+U-test: U value 150719.0 p value 5.562570660595682e-21
+</pre>
+</div>
+</div>
+
+<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;[14]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">plot_speed</span><span class="p">(</span><span class="n">query_base</span><span class="p">,</span> <span class="n">query_stim</span><span class="p">,</span> <span class="n">stuff</span><span class="p">,</span> <span class="n">colors</span><span class="p">,</span> <span class="n">labels</span><span class="p">,</span> <span class="n">filename</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">show_raw</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+    <span class="n">base</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">s</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">results</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">query_base</span><span class="p">)[</span><span class="n">stuff</span><span class="p">]])</span>
+    <span class="n">base_bins</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">query_base</span><span class="p">)[</span><span class="s1">&#39;speed_bins&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
+
+    <span class="n">stim</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">s</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">results</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">query_stim</span><span class="p">)[</span><span class="n">stuff</span><span class="p">]])</span>
+    <span class="n">stim_bins</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">query_stim</span><span class="p">)[</span><span class="s1">&#39;speed_bins&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
+    <span class="k">if</span> <span class="n">show_raw</span><span class="p">:</span>
+        <span class="n">fig</span><span class="p">,</span> <span class="n">axs</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">sharey</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="n">figsize_speed</span><span class="p">)</span>
+
+        <span class="k">for</span> <span class="n">b</span><span class="p">,</span> <span class="n">h</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">base_bins</span><span class="p">,</span> <span class="n">base</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">plot</span><span class="p">(</span><span class="n">b</span><span class="p">,</span> <span class="n">h</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_xlim</span><span class="p">(</span><span class="mf">0.1</span><span class="p">,</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_title</span><span class="p">(</span><span class="n">labels</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+
+        <span class="k">for</span> <span class="n">b</span><span class="p">,</span> <span class="n">h</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">stim_bins</span><span class="p">,</span> <span class="n">stim</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">plot</span><span class="p">(</span><span class="n">b</span><span class="p">,</span> <span class="n">h</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_xlim</span><span class="p">(</span><span class="mf">0.1</span><span class="p">,</span><span class="mi">1</span><span class="p">)</span>
+            <span class="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="n">labels</span><span class="p">[</span><span class="mi">1</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">1</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="n">figsize_speed</span><span class="p">)</span>
+    <span class="n">plot_bootstrap_timeseries</span><span class="p">(</span><span class="n">base_bins</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">base</span><span class="o">.</span><span class="n">T</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="n">labels</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="n">colors</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+    <span class="n">plot_bootstrap_timeseries</span><span class="p">(</span><span class="n">stim_bins</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">stim</span><span class="o">.</span><span class="n">T</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="n">labels</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="n">colors</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">xlim</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mf">0.9</span><span class="p">)</span>
+    <span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">()</span><span class="o">.</span><span class="n">spines</span><span class="p">[</span><span class="s1">&#39;top&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">set_visible</span><span class="p">(</span><span class="kc">False</span><span class="p">)</span>
+    <span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">()</span><span class="o">.</span><span class="n">spines</span><span class="p">[</span><span class="s1">&#39;right&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">set_visible</span><span class="p">(</span><span class="kc">False</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">frameon</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+    
+    <span class="k">if</span> <span class="n">filename</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">&quot;figures&quot;</span> <span class="o">/</span> <span class="n">f</span><span class="s2">&quot;</span><span class="si">{filename}</span><span class="s2">.svg&quot;</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">&quot;tight&quot;</span><span class="p">,</span> <span class="n">transparent</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+        <span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">&quot;figures&quot;</span> <span class="o">/</span> <span class="n">f</span><span class="s2">&quot;</span><span class="si">{filename}</span><span class="s2">.png&quot;</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">&quot;tight&quot;</span><span class="p">,</span> <span class="n">transparent</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+</pre></div>
+
+    </div>
+</div>
+</div>
+
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[18]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plot_speed</span><span class="p">(</span><span class="n">query_base_i</span><span class="p">,</span> <span class="n">query_stim_11</span><span class="p">,</span> <span class="s1">&#39;mean_freq&#39;</span><span class="p">,</span> 
+           <span class="n">colors</span><span class="p">,</span> <span class="n">labels</span><span class="p">,</span> <span class="n">filename</span><span class="o">=</span><span class="s1">&#39;lfp_speed_freq_11&#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;[19]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plot_speed</span><span class="p">(</span><span class="n">query_base_ii</span><span class="p">,</span> <span class="n">query_stim_30</span><span class="p">,</span> <span class="s1">&#39;mean_freq&#39;</span><span class="p">,</span> 
+           <span class="n">colors</span><span class="p">[</span><span class="mi">2</span><span class="p">:],</span> <span class="n">labels</span><span class="p">[</span><span class="mi">2</span><span class="p">:],</span> <span class="n">filename</span><span class="o">=</span><span class="s1">&#39;lfp_speed_freq_30&#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;[20]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plot_speed</span><span class="p">(</span>
+    <span class="n">query_base_combined</span><span class="p">,</span> <span class="n">query_stim_combined</span><span class="p">,</span> <span class="s1">&#39;mean_freq&#39;</span><span class="p">,</span> 
+    <span class="n">colors</span><span class="p">[</span><span class="mi">4</span><span class="p">:],</span> <span class="n">labels</span><span class="p">[</span><span class="mi">4</span><span class="p">:],</span> <span class="n">filename</span><span class="o">=</span><span class="s1">&#39;lfp_speed_freq_combined&#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 text_cell rendered"><div class="prompt input_prompt">
+</div><div class="inner_cell">
+<div class="text_cell_render border-box-sizing rendered_html">
+<h1 id="Power-Familiar">Power Familiar<a class="anchor-link" href="#Power-Familiar">&#182;</a></h1>
+</div>
+</div>
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[21]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plot_speed</span><span class="p">(</span>
+    <span class="n">query_base_i</span><span class="p">,</span> <span class="n">query_stim_11</span><span class="p">,</span> <span class="s1">&#39;mean_power&#39;</span><span class="p">,</span> 
+    <span class="n">colors</span><span class="p">,</span> <span class="n">labels</span><span class="p">,</span> <span class="n">filename</span><span class="o">=</span><span class="s1">&#39;lfp_speed_power_11&#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;[24]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plot_speed</span><span class="p">(</span>
+    <span class="n">query_base_ii</span><span class="p">,</span> <span class="n">query_stim_30</span><span class="p">,</span> <span class="s1">&#39;mean_power&#39;</span><span class="p">,</span> 
+    <span class="n">colors</span><span class="p">[</span><span class="mi">2</span><span class="p">:],</span> <span class="n">labels</span><span class="p">[</span><span class="mi">2</span><span class="p">:],</span> <span class="n">filename</span><span class="o">=</span><span class="s1">&#39;lfp_speed_power_30&#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;[25]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plot_speed</span><span class="p">(</span>
+    <span class="n">query_base_combined</span><span class="p">,</span> <span class="n">query_stim_combined</span><span class="p">,</span> <span class="s1">&#39;mean_power&#39;</span><span class="p">,</span> 
+    <span class="n">colors</span><span class="p">[</span><span class="mi">4</span><span class="p">:],</span> <span class="n">labels</span><span class="p">[</span><span class="mi">4</span><span class="p">:],</span> <span class="n">filename</span><span class="o">=</span><span class="s1">&#39;lfp_speed_power_combined&#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 text_cell rendered"><div class="prompt input_prompt">
+</div><div class="inner_cell">
+<div class="text_cell_render border-box-sizing rendered_html">
+<h1 id="Speed">Speed<a class="anchor-link" href="#Speed">&#182;</a></h1>
+</div>
+</div>
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[26]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">stuff</span> <span class="o">=</span> <span class="s1">&#39;speed&#39;</span>
+<span class="n">min_speed</span> <span class="o">=</span> <span class="n">results</span><span class="p">[</span><span class="s1">&#39;min_speed&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+<span class="n">max_speed</span> <span class="o">=</span> <span class="n">results</span><span class="p">[</span><span class="s1">&#39;max_speed&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+
+<span class="n">f</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">median</span>
+<span class="n">base</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">f</span><span class="p">(</span><span class="n">a</span><span class="p">)</span> <span class="k">for</span> <span class="n">a</span> <span class="ow">in</span> <span class="n">results</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">query_base_combined</span><span class="p">)[</span><span class="n">stuff</span><span class="p">]])</span>
+<span class="n">stim</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">f</span><span class="p">(</span><span class="n">a</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span> <span class="k">for</span> <span class="n">a</span> <span class="ow">in</span> <span class="n">results</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">query_stim_combined</span><span class="p">)[</span><span class="n">stuff</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="n">figsize_violin</span><span class="p">)</span>
+<span class="n">violinplot</span><span class="p">(</span><span class="n">stim</span><span class="p">,</span> <span class="n">base</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">&quot;figures&quot;</span> <span class="o">/</span> <span class="s2">&quot;speed.svg&quot;</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">&quot;tight&quot;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">&quot;figures&quot;</span> <span class="o">/</span> <span class="s2">&quot;speed.png&quot;</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">&quot;tight&quot;</span><span class="p">,</span> <span class="n">transparent</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="n">figsize_speed</span><span class="p">)</span>
+<span class="n">binsize</span> <span class="o">=</span> <span class="mf">0.02</span>
+<span class="n">bins</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">min_speed</span><span class="p">,</span> <span class="n">max_speed</span> <span class="o">+</span> <span class="n">binsize</span><span class="p">,</span> <span class="n">binsize</span><span class="p">)</span>
+<span class="n">base</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">np</span><span class="o">.</span><span class="n">histogram</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">bins</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span> <span class="k">for</span> <span class="n">a</span> <span class="ow">in</span> <span class="n">results</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">query_base_combined</span><span class="p">)[</span><span class="n">stuff</span><span class="p">]])</span>
+<span class="n">stim</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">np</span><span class="o">.</span><span class="n">histogram</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">bins</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>  <span class="k">for</span> <span class="n">a</span> <span class="ow">in</span> <span class="n">results</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">query_stim_combined</span><span class="p">)[</span><span class="n">stuff</span><span class="p">]])</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">bar</span><span class="p">(</span><span class="n">bins</span><span class="p">[</span><span class="mi">1</span><span class="p">:],</span> <span class="n">stim</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">),</span> <span class="n">width</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">diff</span><span class="p">(</span><span class="n">bins</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;control&#39;</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=.</span><span class="mi">5</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="n">control_color</span><span class="p">);</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">bar</span><span class="p">(</span><span class="n">bins</span><span class="p">[</span><span class="mi">1</span><span class="p">:],</span> <span class="n">base</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">),</span> <span class="n">width</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">diff</span><span class="p">(</span><span class="n">bins</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;base&#39;</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=.</span><span class="mi">5</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="n">base_color</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">frameon</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">&quot;figures&quot;</span> <span class="o">/</span> <span class="s2">&quot;speed_histogram.svg&quot;</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">&quot;tight&quot;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">&quot;figures&quot;</span> <span class="o">/</span> <span class="s2">&quot;speed_histogram.png&quot;</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">&quot;tight&quot;</span><span class="p">,</span> <span class="n">transparent</span><span class="o">=</span><span class="kc">True</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_subarea output_stream output_stdout output_text">
+<pre>U-test: U value 103872.0 p value 0.07377152599659564
+</pre>
+</div>
+</div>
+
+<div class="output_area">
+
+    <div class="prompt"></div>
+
+
+<div class="output_subarea output_text output_error">
+<pre>
+<span class="ansi-red-fg">---------------------------------------------------------------------------</span>
+<span class="ansi-red-fg">NameError</span>                                 Traceback (most recent call last)
+<span class="ansi-green-fg">&lt;ipython-input-26-80d1c5c9dd12&gt;</span> in <span class="ansi-cyan-fg">&lt;module&gt;</span>
+<span class="ansi-green-intense-fg ansi-bold">     18</span> stim <span class="ansi-blue-fg">=</span> np<span class="ansi-blue-fg">.</span>array<span class="ansi-blue-fg">(</span><span class="ansi-blue-fg">[</span>np<span class="ansi-blue-fg">.</span>histogram<span class="ansi-blue-fg">(</span>a<span class="ansi-blue-fg">,</span> bins<span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">[</span><span class="ansi-cyan-fg">0</span><span class="ansi-blue-fg">]</span>  <span class="ansi-green-fg">for</span> a <span class="ansi-green-fg">in</span> results<span class="ansi-blue-fg">.</span>query<span class="ansi-blue-fg">(</span>query_stim_combined<span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">[</span>stuff<span class="ansi-blue-fg">]</span><span class="ansi-blue-fg">]</span><span class="ansi-blue-fg">)</span>
+<span class="ansi-green-intense-fg ansi-bold">     19</span> 
+<span class="ansi-green-fg">---&gt; 20</span><span class="ansi-red-fg"> </span>plt<span class="ansi-blue-fg">.</span>bar<span class="ansi-blue-fg">(</span>bins<span class="ansi-blue-fg">[</span><span class="ansi-cyan-fg">1</span><span class="ansi-blue-fg">:</span><span class="ansi-blue-fg">]</span><span class="ansi-blue-fg">,</span> stim<span class="ansi-blue-fg">.</span>mean<span class="ansi-blue-fg">(</span>axis<span class="ansi-blue-fg">=</span><span class="ansi-cyan-fg">0</span><span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">,</span> width<span class="ansi-blue-fg">=</span>np<span class="ansi-blue-fg">.</span>diff<span class="ansi-blue-fg">(</span>bins<span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">[</span><span class="ansi-cyan-fg">0</span><span class="ansi-blue-fg">]</span><span class="ansi-blue-fg">,</span> label<span class="ansi-blue-fg">=</span><span class="ansi-blue-fg">&#39;control&#39;</span><span class="ansi-blue-fg">,</span> alpha<span class="ansi-blue-fg">=</span><span class="ansi-cyan-fg">.5</span><span class="ansi-blue-fg">,</span> color<span class="ansi-blue-fg">=</span>control_color<span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">;</span>
+<span class="ansi-green-intense-fg ansi-bold">     21</span> plt<span class="ansi-blue-fg">.</span>bar<span class="ansi-blue-fg">(</span>bins<span class="ansi-blue-fg">[</span><span class="ansi-cyan-fg">1</span><span class="ansi-blue-fg">:</span><span class="ansi-blue-fg">]</span><span class="ansi-blue-fg">,</span> base<span class="ansi-blue-fg">.</span>mean<span class="ansi-blue-fg">(</span>axis<span class="ansi-blue-fg">=</span><span class="ansi-cyan-fg">0</span><span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">,</span> width<span class="ansi-blue-fg">=</span>np<span class="ansi-blue-fg">.</span>diff<span class="ansi-blue-fg">(</span>bins<span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">[</span><span class="ansi-cyan-fg">0</span><span class="ansi-blue-fg">]</span><span class="ansi-blue-fg">,</span> label<span class="ansi-blue-fg">=</span><span class="ansi-blue-fg">&#39;base&#39;</span><span class="ansi-blue-fg">,</span> alpha<span class="ansi-blue-fg">=</span><span class="ansi-cyan-fg">.5</span><span class="ansi-blue-fg">,</span> color<span class="ansi-blue-fg">=</span>base_color<span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">;</span>
+<span class="ansi-green-intense-fg ansi-bold">     22</span> 
+
+<span class="ansi-red-fg">NameError</span>: name &#39;control_color&#39; is not defined</pre>
+</div>
+</div>
+
+<div class="output_area">
+
+    <div class="prompt"></div>
+
+
+
+
+<div class="output_png output_subarea ">
+<img 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
+"
+>
+</div>
+
+</div>
+
+<div class="output_area">
+
+    <div class="prompt"></div>
+
+
+
+
+<div class="output_text output_subarea ">
+<pre>&lt;Figure size 600x450 with 0 Axes&gt;</pre>
+</div>
+
+</div>
+
+</div>
+</div>
+
+</div>
+<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">
+<h1 id="Table">Table<a class="anchor-link" href="#Table">&#182;</a></h1>
+</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-ipython3"><pre><span></span><span class="n">columns</span> <span class="o">=</span> <span class="p">[</span>
+    <span class="s1">&#39;power_score&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;freq_score&#39;</span>
+<span class="p">]</span>
+
+
+<span class="k">def</span> <span class="nf">summarize</span><span class="p">(</span><span class="n">data</span><span class="p">):</span>
+    <span class="k">return</span> <span class="s2">&quot;</span><span class="si">{:.2f}</span><span class="s2"> ± </span><span class="si">{:.2f}</span><span class="s2"> (</span><span class="si">{}</span><span class="s2">)&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">mean</span><span class="p">(),</span> <span class="n">data</span><span class="o">.</span><span class="n">sem</span><span class="p">(),</span> <span class="nb">sum</span><span class="p">(</span><span class="o">~</span><span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">data</span><span class="p">)))</span>
+
+
+<span class="k">def</span> <span class="nf">MWU</span><span class="p">(</span><span class="n">column</span><span class="p">,</span> <span class="n">query1</span><span class="p">,</span> <span class="n">query2</span><span class="p">):</span>
+    <span class="sd">&#39;&#39;&#39;</span>
+<span class="sd">    Mann Whitney U</span>
+<span class="sd">    &#39;&#39;&#39;</span>
+    <span class="n">Uvalue</span><span class="p">,</span> <span class="n">pvalue</span> <span class="o">=</span> <span class="n">scipy</span><span class="o">.</span><span class="n">stats</span><span class="o">.</span><span class="n">mannwhitneyu</span><span class="p">(</span>
+        <span class="n">results</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">query1</span><span class="p">)[</span><span class="n">column</span><span class="p">]</span><span class="o">.</span><span class="n">dropna</span><span class="p">(),</span> 
+        <span class="n">results</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">query2</span><span class="p">)[</span><span class="n">column</span><span class="p">]</span><span class="o">.</span><span class="n">dropna</span><span class="p">(),</span>
+        <span class="n">alternative</span><span class="o">=</span><span class="s1">&#39;two-sided&#39;</span><span class="p">)</span>
+    
+    <span class="k">return</span> <span class="s2">&quot;</span><span class="si">{:.2f}</span><span class="s2">, </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">Uvalue</span><span class="p">,</span> <span class="n">pvalue</span><span class="p">)</span>
+
+
+<span class="k">def</span> <span class="nf">PRS</span><span class="p">(</span><span class="n">column</span><span class="p">,</span> <span class="n">query1</span><span class="p">,</span> <span class="n">query2</span><span class="p">):</span>
+    <span class="sd">&#39;&#39;&#39;</span>
+<span class="sd">    Permutation ReSampling</span>
+<span class="sd">    &#39;&#39;&#39;</span>
+    <span class="n">pvalue</span><span class="p">,</span> <span class="n">observed_diff</span><span class="p">,</span> <span class="n">diffs</span> <span class="o">=</span> <span class="n">permutation_resampling</span><span class="p">(</span>
+        <span class="n">results</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">query1</span><span class="p">)[</span><span class="n">column</span><span class="p">]</span><span class="o">.</span><span class="n">dropna</span><span class="p">(),</span> 
+        <span class="n">results</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">query2</span><span class="p">)[</span><span class="n">column</span><span class="p">]</span><span class="o">.</span><span class="n">dropna</span><span class="p">(),</span> <span class="n">statistic</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">median</span><span class="p">)</span>
+    
+    <span class="k">return</span> <span class="s2">&quot;</span><span class="si">{:.2f}</span><span class="s2">, </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">observed_diff</span><span class="p">,</span> <span class="n">pvalue</span><span class="p">)</span>
+
+<span class="n">summary_i</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">()</span>
+
+<span class="n">summary_i</span><span class="p">[</span><span class="s1">&#39;Baseline&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">&#39;not </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">query_base_i</span><span class="p">))[</span><span class="n">columns</span><span class="p">]</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">summarize</span><span class="p">)</span>
+<span class="n">summary_i</span><span class="p">[</span><span class="s1">&#39;11 Hz&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">query_stim_11</span><span class="p">))[</span><span class="n">columns</span><span class="p">]</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">summarize</span><span class="p">)</span>
+
+<span class="n">summary_i</span><span class="p">[</span><span class="s1">&#39;MWU&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">MWU</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">query_base_i</span><span class="p">,</span> <span class="n">query_stim_11</span><span class="p">),</span> <span class="n">columns</span><span class="p">))</span>
+<span class="n">summary_i</span><span class="p">[</span><span class="s1">&#39;PRS&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">PRS</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">query_base_i</span><span class="p">,</span> <span class="n">query_stim_11</span><span class="p">),</span> <span class="n">columns</span><span class="p">))</span>
+
+<span class="n">summary_ii</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">()</span>
+
+<span class="n">summary_ii</span><span class="p">[</span><span class="s1">&#39;Baseline&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">&#39;not </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">query_base_ii</span><span class="p">))[</span><span class="n">columns</span><span class="p">]</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">summarize</span><span class="p">)</span>
+<span class="n">summary_ii</span><span class="p">[</span><span class="s1">&#39;11 Hz&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">query_stim_30</span><span class="p">))[</span><span class="n">columns</span><span class="p">]</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">summarize</span><span class="p">)</span>
+
+<span class="n">summary_ii</span><span class="p">[</span><span class="s1">&#39;MWU&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">MWU</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">query_base_ii</span><span class="p">,</span> <span class="n">query_stim_30</span><span class="p">),</span> <span class="n">columns</span><span class="p">))</span>
+<span class="n">summary_ii</span><span class="p">[</span><span class="s1">&#39;PRS&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">PRS</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">query_base_ii</span><span class="p">,</span> <span class="n">query_stim_30</span><span class="p">),</span> <span class="n">columns</span><span class="p">))</span>
+
+<span class="n">summary_combined</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">()</span>
+
+<span class="n">summary_combined</span><span class="p">[</span><span class="s1">&#39;Baseline&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">&#39;not </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">query_base_combined</span><span class="p">))[</span><span class="n">columns</span><span class="p">]</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">summarize</span><span class="p">)</span>
+<span class="n">summary_combined</span><span class="p">[</span><span class="s1">&#39;11 Hz&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">query_stim_combined</span><span class="p">))[</span><span class="n">columns</span><span class="p">]</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">summarize</span><span class="p">)</span>
+
+<span class="n">summary_combined</span><span class="p">[</span><span class="s1">&#39;MWU&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">MWU</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">query_base_combined</span><span class="p">,</span> <span class="n">query_stim_combined</span><span class="p">),</span> <span class="n">columns</span><span class="p">))</span>
+<span class="n">summary_combined</span><span class="p">[</span><span class="s1">&#39;PRS&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">PRS</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">query_base_combined</span><span class="p">,</span> <span class="n">query_stim_combined</span><span class="p">),</span> <span class="n">columns</span><span class="p">))</span>
+
+<span class="n">summary_i</span><span class="o">.</span><span class="n">to_latex</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">&quot;statistics&quot;</span> <span class="o">/</span> <span class="s2">&quot;power_freq_score_summary_i.tex&quot;</span><span class="p">)</span>
+<span class="n">summary_i</span><span class="o">.</span><span class="n">to_csv</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">&quot;statistics&quot;</span> <span class="o">/</span> <span class="s2">&quot;power_freq_score_summary_i.csv&quot;</span><span class="p">)</span>
+
+<span class="n">summary_ii</span><span class="o">.</span><span class="n">to_latex</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">&quot;statistics&quot;</span> <span class="o">/</span> <span class="s2">&quot;power_freq_score_summary_ii.tex&quot;</span><span class="p">)</span>
+<span class="n">summary_ii</span><span class="o">.</span><span class="n">to_csv</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">&quot;statistics&quot;</span> <span class="o">/</span> <span class="s2">&quot;power_freq_score_summary_ii.csv&quot;</span><span class="p">)</span>
+
+<span class="n">summary_combined</span><span class="o">.</span><span class="n">to_latex</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">&quot;statistics&quot;</span> <span class="o">/</span> <span class="s2">&quot;power_freq_score_summary_combined.tex&quot;</span><span class="p">)</span>
+<span class="n">summary_combined</span><span class="o">.</span><span class="n">to_csv</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">&quot;statistics&quot;</span> <span class="o">/</span> <span class="s2">&quot;power_freq_score_summary_combined.csv&quot;</span><span class="p">)</span>
+</pre></div>
+
+    </div>
+</div>
+</div>
+
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[32]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">summary_i</span>
+</pre></div>
+
+    </div>
+</div>
+</div>
+
+<div class="output_wrapper">
+<div class="output">
+
+
+<div class="output_area">
+
+    <div class="prompt output_prompt">Out[32]:</div>
+
+
+
+<div class="output_html rendered_html output_subarea output_execute_result">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>Baseline</th>
+      <th>11 Hz</th>
+      <th>MWU</th>
+      <th>PRS</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>power_score</th>
+      <td>-0.03 ± 0.01 (208)</td>
+      <td>-0.03 ± 0.01 (208)</td>
+      <td>32624.00, 0.000</td>
+      <td>0.18, 0.000</td>
+    </tr>
+    <tr>
+      <th>freq_score</th>
+      <td>-0.01 ± 0.01 (208)</td>
+      <td>-0.01 ± 0.01 (208)</td>
+      <td>37221.00, 0.000</td>
+      <td>0.21, 0.000</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+</div>
+
+</div>
+
+</div>
+</div>
+
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[33]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">summary_ii</span>
+</pre></div>
+
+    </div>
+</div>
+</div>
+
+<div class="output_wrapper">
+<div class="output">
+
+
+<div class="output_area">
+
+    <div class="prompt output_prompt">Out[33]:</div>
+
+
+
+<div class="output_html rendered_html output_subarea output_execute_result">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>Baseline</th>
+      <th>11 Hz</th>
+      <th>MWU</th>
+      <th>PRS</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>power_score</th>
+      <td>0.04 ± 0.01 (136)</td>
+      <td>0.04 ± 0.01 (136)</td>
+      <td>12586.00, 0.000</td>
+      <td>0.08, 0.000</td>
+    </tr>
+    <tr>
+      <th>freq_score</th>
+      <td>0.01 ± 0.01 (136)</td>
+      <td>0.01 ± 0.01 (136)</td>
+      <td>16950.00, 0.000</td>
+      <td>0.22, 0.000</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+</div>
+
+</div>
+
+</div>
+</div>
+
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[34]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">summary_combined</span>
+</pre></div>
+
+    </div>
+</div>
+</div>
+
+<div class="output_wrapper">
+<div class="output">
+
+
+<div class="output_area">
+
+    <div class="prompt output_prompt">Out[34]:</div>
+
+
+
+<div class="output_html rendered_html output_subarea output_execute_result">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>Baseline</th>
+      <th>11 Hz</th>
+      <th>MWU</th>
+      <th>PRS</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>power_score</th>
+      <td>0.03 ± 0.01 (480)</td>
+      <td>0.03 ± 0.01 (480)</td>
+      <td>144593.00, 0.000</td>
+      <td>0.05, 0.000</td>
+    </tr>
+    <tr>
+      <th>freq_score</th>
+      <td>0.06 ± 0.01 (480)</td>
+      <td>0.06 ± 0.01 (480)</td>
+      <td>150719.00, 0.000</td>
+      <td>0.12, 0.000</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+</div>
+
+</div>
+
+</div>
+</div>
+
+</div>
+<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">
+<h1 id="Register-in-expipe">Register in expipe<a class="anchor-link" href="#Register-in-expipe">&#182;</a></h1>
+</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-ipython3"><pre><span></span><span class="n">action</span> <span class="o">=</span> <span class="n">project</span><span class="o">.</span><span class="n">g_action</span><span class="p">(</span><span class="s2">&quot;lfp_speed&quot;</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_subarea output_text output_error">
+<pre>
+<span class="ansi-red-fg">---------------------------------------------------------------------------</span>
+<span class="ansi-red-fg">AttributeError</span>                            Traceback (most recent call last)
+<span class="ansi-green-fg">&lt;ipython-input-36-351529841fbe&gt;</span> in <span class="ansi-cyan-fg">&lt;module&gt;</span>
+<span class="ansi-green-fg">----&gt; 1</span><span class="ansi-red-fg"> </span>action <span class="ansi-blue-fg">=</span> project<span class="ansi-blue-fg">.</span>get_action<span class="ansi-blue-fg">(</span><span class="ansi-blue-fg">&#34;lfp_speed&#34;</span><span class="ansi-blue-fg">)</span>
+
+<span class="ansi-red-fg">AttributeError</span>: &#39;Project&#39; object has no attribute &#39;get_action&#39;</pre>
+</div>
+</div>
+
+</div>
+</div>
+
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[47]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">outdata</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s2">&quot;figures&quot;</span><span class="p">:</span> <span class="s2">&quot;figures&quot;</span><span class="p">,</span>
+    <span class="s2">&quot;statistics&quot;</span><span class="p">:</span> <span class="s2">&quot;statistics&quot;</span>
+<span class="p">}</span>
+
+<span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">value</span> <span class="ow">in</span> <span class="n">outdata</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+    <span class="n">action</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">value</span>
+    <span class="n">data_path</span> <span class="o">=</span> <span class="n">action</span><span class="o">.</span><span class="n">data_path</span><span class="p">(</span><span class="n">key</span><span class="p">)</span>
+    <span class="n">data_path</span><span class="o">.</span><span class="n">parent</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">parents</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+    <span class="n">source</span> <span class="o">=</span> <span class="n">output_path</span> <span class="o">/</span> <span class="n">value</span>
+    <span class="k">if</span> <span class="n">source</span><span class="o">.</span><span class="n">is_file</span><span class="p">():</span>
+        <span class="n">shutil</span><span class="o">.</span><span class="n">copy</span><span class="p">(</span><span class="n">source</span><span class="p">,</span> <span class="n">data_path</span><span class="p">)</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">copy_tree</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">source</span><span class="p">),</span> <span class="nb">str</span><span class="p">(</span><span class="n">data_path</span><span class="p">))</span>
+</pre></div>
+
+    </div>
+</div>
+</div>
+
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[48]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pnnmec</span><span class="o">.</span><span class="n">registration</span><span class="o">.</span><span class="n">store_notebook</span><span class="p">(</span><span class="n">action</span><span class="p">,</span> <span class="s2">&quot;20_power_spectrum_density.ipynb&quot;</span><span class="p">)</span>
+</pre></div>
+
+    </div>
+</div>
+</div>
+
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[49]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">action</span><span class="o">.</span><span class="n">modules</span><span class="p">[</span><span class="s2">&quot;code_version&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">vc</span><span class="o">.</span><span class="n">create_code_version_module</span><span class="p">()</span>
+<span class="n">action</span><span class="o">.</span><span class="n">modules</span><span class="p">[</span><span class="s2">&quot;data_version&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">vc</span><span class="o">.</span><span class="n">create_data_version_module</span><span class="p">(</span><span class="n">project_path</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_subarea output_stream output_stdout output_text">
+<pre>WARNING: Code repo dirty. Please commit your changes.
+WARNING: Data repo dirty. Please commit your changes.
+</pre>
+</div>
+</div>
+
+</div>
+</div>
+
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[&nbsp;]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span> 
+</pre></div>
+
+    </div>
+</div>
+</div>
+
+</div>
+    </div>
+  </div>
+</body>
+
+ 
+
+
+</html>
diff --git a/actions/lfp_speed/data/20_lfp_speed.ipynb b/actions/lfp_speed/data/20_lfp_speed.ipynb
new file mode 100644
index 000000000..c5dd26716
--- /dev/null
+++ b/actions/lfp_speed/data/20_lfp_speed.ipynb
@@ -0,0 +1,1104 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%load_ext autoreload\n",
+    "%autoreload 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "14:40:25 [I] klustakwik KlustaKwik2 version 0.2.6\n",
+      "/home/mikkel/.virtualenvs/expipe/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject\n",
+      "  return f(*args, **kwds)\n",
+      "/home/mikkel/.virtualenvs/expipe/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject\n",
+      "  return f(*args, **kwds)\n",
+      "/home/mikkel/.virtualenvs/expipe/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject\n",
+      "  return f(*args, **kwds)\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "import pathlib\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib import colors\n",
+    "import seaborn as sns\n",
+    "import re\n",
+    "import shutil\n",
+    "import pandas as pd\n",
+    "import scipy.stats\n",
+    "\n",
+    "import exdir\n",
+    "import expipe\n",
+    "from distutils.dir_util import copy_tree\n",
+    "import septum_mec\n",
+    "import septum_mec.analysis.data_processing as dp\n",
+    "import septum_mec.analysis.registration\n",
+    "from septum_mec.analysis.plotting import violinplot, despine, plot_bootstrap_timeseries\n",
+    "from phase_precession import cl_corr\n",
+    "from spike_statistics.core import permutation_resampling\n",
+    "import matplotlib.mlab as mlab\n",
+    "import scipy.signal as ss\n",
+    "from scipy.interpolate import interp1d\n",
+    "from septum_mec.analysis.plotting import regplot\n",
+    "from skimage import measure\n",
+    "from tqdm.notebook import tqdm_notebook as tqdm\n",
+    "tqdm.pandas()\n",
+    "import scipy.signal as ss\n",
+    "\n",
+    "\n",
+    "from tqdm.notebook import tqdm_notebook as tqdm\n",
+    "tqdm.pandas()\n",
+    "\n",
+    "import pycwt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "colors = ['#1b9e77','#d95f02','#7570b3','#e7298a', '#4393c3', '#d6604d']\n",
+    "labels = ['Baseline I', '11 Hz', 'Baseline II', '30 Hz', 'Baseline', 'Stimulated']\n",
+    "plt.rcParams['figure.dpi'] = 150\n",
+    "figsize_violin = (1.7, 3)\n",
+    "figsize_speed = (4, 3)\n",
+    "plt.rc('axes', titlesize=10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "project_path = dp.project_path()\n",
+    "project = expipe.get_project(project_path)\n",
+    "actions = project.actions\n",
+    "\n",
+    "output_path = pathlib.Path(\"output\") / \"lfp_speed\"\n",
+    "(output_path / \"statistics\").mkdir(exist_ok=True, parents=True)\n",
+    "(output_path / \"figures\").mkdir(exist_ok=True, parents=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_action = actions['lfp_speed']\n",
+    "output = exdir.File(\n",
+    "    data_action.data_path('results'),\n",
+    "    plugins = [exdir.plugins.git_lfs, exdir.plugins.quantities])\n",
+    "\n",
+    "ignore = ['wavelet_power', 'wavelet_freqs', 'signal']\n",
+    "results = []\n",
+    "for group in output.values():\n",
+    "    d = group.attrs.to_dict()\n",
+    "    d.update({k: np.array(v.data) for k, v in group.items() if k not in ignore})\n",
+    "    results.append(d)\n",
+    "results = pd.DataFrame(results)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>freq_score</th>\n",
+       "      <th>sample_rate</th>\n",
+       "      <th>power_score</th>\n",
+       "      <th>action</th>\n",
+       "      <th>channel_group</th>\n",
+       "      <th>max_speed</th>\n",
+       "      <th>min_speed</th>\n",
+       "      <th>position_low_pass_frequency</th>\n",
+       "      <th>mean_freq</th>\n",
+       "      <th>mean_power</th>\n",
+       "      <th>speed</th>\n",
+       "      <th>speed_bins</th>\n",
+       "      <th>theta_freq</th>\n",
+       "      <th>theta_power</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.191729</td>\n",
+       "      <td>1000.0</td>\n",
+       "      <td>0.432532</td>\n",
+       "      <td>1833-010719-1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>6</td>\n",
+       "      <td>[7.154332133229601, 7.106500202042717, 7.13862...</td>\n",
+       "      <td>[18.005621200653046, 18.66435212100411, 20.504...</td>\n",
+       "      <td>[0.02795137493203615, 0.0283076211590443, 0.02...</td>\n",
+       "      <td>[0.02, 0.04, 0.06, 0.08, 0.1, 0.12000000000000...</td>\n",
+       "      <td>[6.799999999999997, 6.799999999999997, 6.79999...</td>\n",
+       "      <td>[3.990633076071412, 3.992883430179942, 3.99513...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.255882</td>\n",
+       "      <td>1000.0</td>\n",
+       "      <td>0.434938</td>\n",
+       "      <td>1833-010719-1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>6</td>\n",
+       "      <td>[7.035831237674811, 7.05973079549096, 7.120455...</td>\n",
+       "      <td>[16.966011451769536, 17.60417640800431, 19.452...</td>\n",
+       "      <td>[0.02795137493203615, 0.0283076211590443, 0.02...</td>\n",
+       "      <td>[0.02, 0.04, 0.06, 0.08, 0.1, 0.12000000000000...</td>\n",
+       "      <td>[6.799999999999997, 6.799999999999997, 6.79999...</td>\n",
+       "      <td>[3.649171825378523, 3.6511305369806806, 3.6530...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.169116</td>\n",
+       "      <td>1000.0</td>\n",
+       "      <td>0.338942</td>\n",
+       "      <td>1833-010719-1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>6</td>\n",
+       "      <td>[7.156957284750235, 7.121730043055997, 7.17760...</td>\n",
+       "      <td>[14.747162413722597, 15.548073560884317, 16.81...</td>\n",
+       "      <td>[0.02795137493203615, 0.0283076211590443, 0.02...</td>\n",
+       "      <td>[0.02, 0.04, 0.06, 0.08, 0.1, 0.12000000000000...</td>\n",
+       "      <td>[6.799999999999997, 6.799999999999997, 6.79999...</td>\n",
+       "      <td>[3.069575227276876, 3.0713927350182493, 3.0732...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.071480</td>\n",
+       "      <td>1000.0</td>\n",
+       "      <td>0.141405</td>\n",
+       "      <td>1833-010719-1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>6</td>\n",
+       "      <td>[7.256682286107137, 7.237350035531646, 7.27254...</td>\n",
+       "      <td>[13.017027147293039, 12.651121743582284, 13.91...</td>\n",
+       "      <td>[0.02795137493203615, 0.0283076211590443, 0.02...</td>\n",
+       "      <td>[0.02, 0.04, 0.06, 0.08, 0.1, 0.12000000000000...</td>\n",
+       "      <td>[6.399999999999999, 6.399999999999999, 6.39999...</td>\n",
+       "      <td>[1.9508693636836856, 1.9523977795413874, 1.953...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.216792</td>\n",
+       "      <td>1000.0</td>\n",
+       "      <td>-0.012191</td>\n",
+       "      <td>1833-010719-1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>6</td>\n",
+       "      <td>[7.095817125902336, 7.050223640391819, 7.12869...</td>\n",
+       "      <td>[32.456068185302364, 23.01562486642484, 21.395...</td>\n",
+       "      <td>[0.02795137493203615, 0.0283076211590443, 0.02...</td>\n",
+       "      <td>[0.02, 0.04, 0.06, 0.08, 0.1, 0.12000000000000...</td>\n",
+       "      <td>[6.399999999999999, 6.399999999999999, 6.39999...</td>\n",
+       "      <td>[1.2545438245339104, 1.2553897239251606, 1.256...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   freq_score  sample_rate  power_score         action  channel_group  \\\n",
+       "0    0.191729       1000.0     0.432532  1833-010719-1              0   \n",
+       "1    0.255882       1000.0     0.434938  1833-010719-1              1   \n",
+       "2    0.169116       1000.0     0.338942  1833-010719-1              2   \n",
+       "3    0.071480       1000.0     0.141405  1833-010719-1              3   \n",
+       "4    0.216792       1000.0    -0.012191  1833-010719-1              4   \n",
+       "\n",
+       "   max_speed  min_speed  position_low_pass_frequency  \\\n",
+       "0          1       0.02                            6   \n",
+       "1          1       0.02                            6   \n",
+       "2          1       0.02                            6   \n",
+       "3          1       0.02                            6   \n",
+       "4          1       0.02                            6   \n",
+       "\n",
+       "                                           mean_freq  \\\n",
+       "0  [7.154332133229601, 7.106500202042717, 7.13862...   \n",
+       "1  [7.035831237674811, 7.05973079549096, 7.120455...   \n",
+       "2  [7.156957284750235, 7.121730043055997, 7.17760...   \n",
+       "3  [7.256682286107137, 7.237350035531646, 7.27254...   \n",
+       "4  [7.095817125902336, 7.050223640391819, 7.12869...   \n",
+       "\n",
+       "                                          mean_power  \\\n",
+       "0  [18.005621200653046, 18.66435212100411, 20.504...   \n",
+       "1  [16.966011451769536, 17.60417640800431, 19.452...   \n",
+       "2  [14.747162413722597, 15.548073560884317, 16.81...   \n",
+       "3  [13.017027147293039, 12.651121743582284, 13.91...   \n",
+       "4  [32.456068185302364, 23.01562486642484, 21.395...   \n",
+       "\n",
+       "                                               speed  \\\n",
+       "0  [0.02795137493203615, 0.0283076211590443, 0.02...   \n",
+       "1  [0.02795137493203615, 0.0283076211590443, 0.02...   \n",
+       "2  [0.02795137493203615, 0.0283076211590443, 0.02...   \n",
+       "3  [0.02795137493203615, 0.0283076211590443, 0.02...   \n",
+       "4  [0.02795137493203615, 0.0283076211590443, 0.02...   \n",
+       "\n",
+       "                                          speed_bins  \\\n",
+       "0  [0.02, 0.04, 0.06, 0.08, 0.1, 0.12000000000000...   \n",
+       "1  [0.02, 0.04, 0.06, 0.08, 0.1, 0.12000000000000...   \n",
+       "2  [0.02, 0.04, 0.06, 0.08, 0.1, 0.12000000000000...   \n",
+       "3  [0.02, 0.04, 0.06, 0.08, 0.1, 0.12000000000000...   \n",
+       "4  [0.02, 0.04, 0.06, 0.08, 0.1, 0.12000000000000...   \n",
+       "\n",
+       "                                          theta_freq  \\\n",
+       "0  [6.799999999999997, 6.799999999999997, 6.79999...   \n",
+       "1  [6.799999999999997, 6.799999999999997, 6.79999...   \n",
+       "2  [6.799999999999997, 6.799999999999997, 6.79999...   \n",
+       "3  [6.399999999999999, 6.399999999999999, 6.39999...   \n",
+       "4  [6.399999999999999, 6.399999999999999, 6.39999...   \n",
+       "\n",
+       "                                         theta_power  \n",
+       "0  [3.990633076071412, 3.992883430179942, 3.99513...  \n",
+       "1  [3.649171825378523, 3.6511305369806806, 3.6530...  \n",
+       "2  [3.069575227276876, 3.0713927350182493, 3.0732...  \n",
+       "3  [1.9508693636836856, 1.9523977795413874, 1.953...  \n",
+       "4  [1.2545438245339104, 1.2553897239251606, 1.256...  "
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "identify_neurons = actions['identify-neurons']\n",
+    "sessions = pd.read_csv(identify_neurons.data_path('sessions'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results = results.merge(sessions, on='action')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Frequency score"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "query_base_i = 'baseline and Hz11'\n",
+    "query_stim_11 = 'stimulated and Hz11'\n",
+    "\n",
+    "query_base_ii = 'baseline and Hz30'\n",
+    "query_stim_30 = 'stimulated and Hz30'\n",
+    "\n",
+    "query_base_combined = 'baseline and Hz11 or Hz30'\n",
+    "query_stim_combined = 'stimulated and Hz11 or Hz30'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "U-test: U value 37221.0 p value 1.9679601390031718e-50\n",
+      "U-test: U value 16950.0 p value 1.642880876541107e-32\n",
+      "U-test: U value 150719.0 p value 5.562570660595682e-21\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 255x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 255x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 255x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "stuff = 'freq_score'\n",
+    "base = results.query(query_base_i)[stuff].to_numpy()\n",
+    "stim = results.query(query_stim_11)[stuff].to_numpy()\n",
+    "plt.figure(figsize=figsize_violin)\n",
+    "violinplot(base, stim, colors=colors)\n",
+    "# plt.ylim(-0.02, 0.5)\n",
+    "plt.savefig(output_path / \"figures\" / \"frequency_score_11.svg\", bbox_inches=\"tight\", transparent=True)\n",
+    "plt.savefig(output_path / \"figures\" / \"frequency_score_11.png\", bbox_inches=\"tight\", transparent=True)\n",
+    "\n",
+    "base = results.query(query_base_ii)[stuff].to_numpy()\n",
+    "stim = results.query(query_stim_30)[stuff].to_numpy()\n",
+    "plt.figure(figsize=figsize_violin)\n",
+    "violinplot(base, stim, colors=colors[2:])\n",
+    "# plt.ylim(-0.02, 0.5)\n",
+    "plt.savefig(output_path / \"figures\" / \"frequency_score_30.svg\", bbox_inches=\"tight\", transparent=True)\n",
+    "plt.savefig(output_path / \"figures\" / \"frequency_score_30.png\", bbox_inches=\"tight\", transparent=True)\n",
+    "\n",
+    "base = results.query(query_base_combined)[stuff].to_numpy()\n",
+    "stim = results.query(query_stim_combined)[stuff].to_numpy()\n",
+    "plt.figure(figsize=figsize_violin)\n",
+    "violinplot(base, stim, colors=colors[4:])\n",
+    "# plt.ylim(-0.02, 0.5)\n",
+    "plt.savefig(output_path / \"figures\" / \"frequency_score_combined.svg\", bbox_inches=\"tight\", transparent=True)\n",
+    "plt.savefig(output_path / \"figures\" / \"frequency_score_combined.png\", bbox_inches=\"tight\", transparent=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_speed(query_base, query_stim, stuff, colors, labels, filename=None, show_raw=False):\n",
+    "    base = np.array([s for s in results.query(query_base)[stuff]])\n",
+    "    base_bins = results.query(query_base)['speed_bins'].to_numpy()\n",
+    "\n",
+    "    stim = np.array([s for s in results.query(query_stim)[stuff]])\n",
+    "    stim_bins = results.query(query_stim)['speed_bins'].to_numpy()\n",
+    "    if show_raw:\n",
+    "        fig, axs = plt.subplots(1, 2, sharey=True, figsize=figsize_speed)\n",
+    "\n",
+    "        for b, h in zip(base_bins, base):\n",
+    "            axs[1].plot(b, h)\n",
+    "            axs[1].set_xlim(0.1,1)\n",
+    "            axs[1].set_title(labels[0])\n",
+    "\n",
+    "        for b, h in zip(stim_bins, stim):\n",
+    "            axs[0].plot(b, h)\n",
+    "            axs[0].set_xlim(0.1,1)\n",
+    "            axs[0].set_title(labels[1])  \n",
+    "\n",
+    "    fig, ax = plt.subplots(1, 1, figsize=figsize_speed)\n",
+    "    plot_bootstrap_timeseries(base_bins[0], base.T, ax=ax, label=labels[0], color=colors[0])\n",
+    "    plot_bootstrap_timeseries(stim_bins[0], stim.T, ax=ax, label=labels[1], color=colors[1])\n",
+    "\n",
+    "    plt.xlim(0, 0.9)\n",
+    "    plt.gca().spines['top'].set_visible(False)\n",
+    "    plt.gca().spines['right'].set_visible(False)\n",
+    "    plt.legend(frameon=False)\n",
+    "    \n",
+    "    if filename is not None:\n",
+    "        plt.savefig(output_path / \"figures\" / f\"{filename}.svg\", bbox_inches=\"tight\", transparent=True)\n",
+    "        plt.savefig(output_path / \"figures\" / f\"{filename}.png\", bbox_inches=\"tight\", transparent=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 600x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_speed(query_base_i, query_stim_11, 'mean_freq', \n",
+    "           colors, labels, filename='lfp_speed_freq_11')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 600x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_speed(query_base_ii, query_stim_30, 'mean_freq', \n",
+    "           colors[2:], labels[2:], filename='lfp_speed_freq_30')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 600x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_speed(\n",
+    "    query_base_combined, query_stim_combined, 'mean_freq', \n",
+    "    colors[4:], labels[4:], filename='lfp_speed_freq_combined')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Power Familiar"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 600x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_speed(\n",
+    "    query_base_i, query_stim_11, 'mean_power', \n",
+    "    colors, labels, filename='lfp_speed_power_11')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 600x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_speed(\n",
+    "    query_base_ii, query_stim_30, 'mean_power', \n",
+    "    colors[2:], labels[2:], filename='lfp_speed_power_30')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 600x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_speed(\n",
+    "    query_base_combined, query_stim_combined, 'mean_power', \n",
+    "    colors[4:], labels[4:], filename='lfp_speed_power_combined')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Speed"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "U-test: U value 103872.0 p value 0.07377152599659564\n"
+     ]
+    },
+    {
+     "ename": "NameError",
+     "evalue": "name 'control_color' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-26-80d1c5c9dd12>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     18\u001b[0m \u001b[0mstim\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhistogram\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbins\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m  \u001b[0;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mresults\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mquery\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mquery_stim_combined\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mstuff\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     19\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 20\u001b[0;31m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbins\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstim\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmean\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwidth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdiff\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbins\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'control'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m.5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcontrol_color\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m;\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     21\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbins\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbase\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmean\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwidth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdiff\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbins\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'base'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m.5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mbase_color\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m;\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     22\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'control_color' is not defined"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 255x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 600x450 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "stuff = 'speed'\n",
+    "min_speed = results['min_speed'].iloc[0]\n",
+    "max_speed = results['max_speed'].iloc[0]\n",
+    "\n",
+    "f = np.median\n",
+    "base = np.array([f(a) for a in results.query(query_base_combined)[stuff]])\n",
+    "stim = np.array([f(a).mean() for a in results.query(query_stim_combined)[stuff]])\n",
+    "plt.figure(figsize=figsize_violin)\n",
+    "violinplot(stim, base)\n",
+    "\n",
+    "plt.savefig(output_path / \"figures\" / \"speed.svg\", bbox_inches=\"tight\")\n",
+    "plt.savefig(output_path / \"figures\" / \"speed.png\", bbox_inches=\"tight\", transparent=True)\n",
+    "\n",
+    "plt.figure(figsize=figsize_speed)\n",
+    "binsize = 0.02\n",
+    "bins = np.arange(min_speed, max_speed + binsize, binsize)\n",
+    "base = np.array([np.histogram(a, bins)[0] for a in results.query(query_base_combined)[stuff]])\n",
+    "stim = np.array([np.histogram(a, bins)[0]  for a in results.query(query_stim_combined)[stuff]])\n",
+    "\n",
+    "plt.bar(bins[1:], stim.mean(axis=0), width=np.diff(bins)[0], label='control', alpha=.5, color=control_color);\n",
+    "plt.bar(bins[1:], base.mean(axis=0), width=np.diff(bins)[0], label='base', alpha=.5, color=base_color);\n",
+    "\n",
+    "plt.legend(frameon=False)\n",
+    "\n",
+    "plt.savefig(output_path / \"figures\" / \"speed_histogram.svg\", bbox_inches=\"tight\")\n",
+    "plt.savefig(output_path / \"figures\" / \"speed_histogram.png\", bbox_inches=\"tight\", transparent=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "columns = [\n",
+    "    'power_score',\n",
+    "    'freq_score'\n",
+    "]\n",
+    "\n",
+    "\n",
+    "def summarize(data):\n",
+    "    return \"{:.2f} ± {:.2f} ({})\".format(data.mean(), data.sem(), sum(~np.isnan(data)))\n",
+    "\n",
+    "\n",
+    "def MWU(column, query1, query2):\n",
+    "    '''\n",
+    "    Mann Whitney U\n",
+    "    '''\n",
+    "    Uvalue, pvalue = scipy.stats.mannwhitneyu(\n",
+    "        results.query(query1)[column].dropna(), \n",
+    "        results.query(query2)[column].dropna(),\n",
+    "        alternative='two-sided')\n",
+    "    \n",
+    "    return \"{:.2f}, {:.3f}\".format(Uvalue, pvalue)\n",
+    "\n",
+    "\n",
+    "def PRS(column, query1, query2):\n",
+    "    '''\n",
+    "    Permutation ReSampling\n",
+    "    '''\n",
+    "    pvalue, observed_diff, diffs = permutation_resampling(\n",
+    "        results.query(query1)[column].dropna(), \n",
+    "        results.query(query2)[column].dropna(), statistic=np.median)\n",
+    "    \n",
+    "    return \"{:.2f}, {:.3f}\".format(observed_diff, pvalue)\n",
+    "\n",
+    "summary_i = pd.DataFrame()\n",
+    "\n",
+    "summary_i['Baseline'] = results.query('not {}'.format(query_base_i))[columns].agg(summarize)\n",
+    "summary_i['11 Hz'] = results.query('{}'.format(query_stim_11))[columns].agg(summarize)\n",
+    "\n",
+    "summary_i['MWU'] = list(map(lambda x: MWU(x, query_base_i, query_stim_11), columns))\n",
+    "summary_i['PRS'] = list(map(lambda x: PRS(x, query_base_i, query_stim_11), columns))\n",
+    "\n",
+    "summary_ii = pd.DataFrame()\n",
+    "\n",
+    "summary_ii['Baseline'] = results.query('not {}'.format(query_base_ii))[columns].agg(summarize)\n",
+    "summary_ii['11 Hz'] = results.query('{}'.format(query_stim_30))[columns].agg(summarize)\n",
+    "\n",
+    "summary_ii['MWU'] = list(map(lambda x: MWU(x, query_base_ii, query_stim_30), columns))\n",
+    "summary_ii['PRS'] = list(map(lambda x: PRS(x, query_base_ii, query_stim_30), columns))\n",
+    "\n",
+    "summary_combined = pd.DataFrame()\n",
+    "\n",
+    "summary_combined['Baseline'] = results.query('not {}'.format(query_base_combined))[columns].agg(summarize)\n",
+    "summary_combined['11 Hz'] = results.query('{}'.format(query_stim_combined))[columns].agg(summarize)\n",
+    "\n",
+    "summary_combined['MWU'] = list(map(lambda x: MWU(x, query_base_combined, query_stim_combined), columns))\n",
+    "summary_combined['PRS'] = list(map(lambda x: PRS(x, query_base_combined, query_stim_combined), columns))\n",
+    "\n",
+    "summary_i.to_latex(output_path / \"statistics\" / \"power_freq_score_summary_i.tex\")\n",
+    "summary_i.to_csv(output_path / \"statistics\" / \"power_freq_score_summary_i.csv\")\n",
+    "\n",
+    "summary_ii.to_latex(output_path / \"statistics\" / \"power_freq_score_summary_ii.tex\")\n",
+    "summary_ii.to_csv(output_path / \"statistics\" / \"power_freq_score_summary_ii.csv\")\n",
+    "\n",
+    "summary_combined.to_latex(output_path / \"statistics\" / \"power_freq_score_summary_combined.tex\")\n",
+    "summary_combined.to_csv(output_path / \"statistics\" / \"power_freq_score_summary_combined.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Baseline</th>\n",
+       "      <th>11 Hz</th>\n",
+       "      <th>MWU</th>\n",
+       "      <th>PRS</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>power_score</th>\n",
+       "      <td>-0.03 ± 0.01 (208)</td>\n",
+       "      <td>-0.03 ± 0.01 (208)</td>\n",
+       "      <td>32624.00, 0.000</td>\n",
+       "      <td>0.18, 0.000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>freq_score</th>\n",
+       "      <td>-0.01 ± 0.01 (208)</td>\n",
+       "      <td>-0.01 ± 0.01 (208)</td>\n",
+       "      <td>37221.00, 0.000</td>\n",
+       "      <td>0.21, 0.000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                       Baseline               11 Hz              MWU  \\\n",
+       "power_score  -0.03 ± 0.01 (208)  -0.03 ± 0.01 (208)  32624.00, 0.000   \n",
+       "freq_score   -0.01 ± 0.01 (208)  -0.01 ± 0.01 (208)  37221.00, 0.000   \n",
+       "\n",
+       "                     PRS  \n",
+       "power_score  0.18, 0.000  \n",
+       "freq_score   0.21, 0.000  "
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "summary_i"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Baseline</th>\n",
+       "      <th>11 Hz</th>\n",
+       "      <th>MWU</th>\n",
+       "      <th>PRS</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>power_score</th>\n",
+       "      <td>0.04 ± 0.01 (136)</td>\n",
+       "      <td>0.04 ± 0.01 (136)</td>\n",
+       "      <td>12586.00, 0.000</td>\n",
+       "      <td>0.08, 0.000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>freq_score</th>\n",
+       "      <td>0.01 ± 0.01 (136)</td>\n",
+       "      <td>0.01 ± 0.01 (136)</td>\n",
+       "      <td>16950.00, 0.000</td>\n",
+       "      <td>0.22, 0.000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                      Baseline              11 Hz              MWU  \\\n",
+       "power_score  0.04 ± 0.01 (136)  0.04 ± 0.01 (136)  12586.00, 0.000   \n",
+       "freq_score   0.01 ± 0.01 (136)  0.01 ± 0.01 (136)  16950.00, 0.000   \n",
+       "\n",
+       "                     PRS  \n",
+       "power_score  0.08, 0.000  \n",
+       "freq_score   0.22, 0.000  "
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "summary_ii"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Baseline</th>\n",
+       "      <th>11 Hz</th>\n",
+       "      <th>MWU</th>\n",
+       "      <th>PRS</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>power_score</th>\n",
+       "      <td>0.03 ± 0.01 (480)</td>\n",
+       "      <td>0.03 ± 0.01 (480)</td>\n",
+       "      <td>144593.00, 0.000</td>\n",
+       "      <td>0.05, 0.000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>freq_score</th>\n",
+       "      <td>0.06 ± 0.01 (480)</td>\n",
+       "      <td>0.06 ± 0.01 (480)</td>\n",
+       "      <td>150719.00, 0.000</td>\n",
+       "      <td>0.12, 0.000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                      Baseline              11 Hz               MWU  \\\n",
+       "power_score  0.03 ± 0.01 (480)  0.03 ± 0.01 (480)  144593.00, 0.000   \n",
+       "freq_score   0.06 ± 0.01 (480)  0.06 ± 0.01 (480)  150719.00, 0.000   \n",
+       "\n",
+       "                     PRS  \n",
+       "power_score  0.05, 0.000  \n",
+       "freq_score   0.12, 0.000  "
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "summary_combined"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Register in expipe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "'Project' object has no attribute 'get_action'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-36-351529841fbe>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0maction\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mproject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_action\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"lfp_speed\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m: 'Project' object has no attribute 'get_action'"
+     ]
+    }
+   ],
+   "source": [
+    "action = project.g_action(\"lfp_speed\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "outdata = {\n",
+    "    \"figures\": \"figures\",\n",
+    "    \"statistics\": \"statistics\"\n",
+    "}\n",
+    "\n",
+    "for key, value in outdata.items():\n",
+    "    action.data[key] = value\n",
+    "    data_path = action.data_path(key)\n",
+    "    data_path.parent.mkdir(exist_ok=True, parents=True)\n",
+    "    source = output_path / value\n",
+    "    if source.is_file():\n",
+    "        shutil.copy(source, data_path)\n",
+    "    else:\n",
+    "        copy_tree(str(source), str(data_path))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pnnmec.registration.store_notebook(action, \"20_power_spectrum_density.ipynb\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "WARNING: Code repo dirty. Please commit your changes.\n",
+      "WARNING: Data repo dirty. Please commit your changes.\n"
+     ]
+    }
+   ],
+   "source": [
+    "action.modules[\"code_version\"] = vc.create_code_version_module()\n",
+    "action.modules[\"data_version\"] = vc.create_data_version_module(project_path)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/actions/lfp_speed/data/figures/frequency_score_11.png b/actions/lfp_speed/data/figures/frequency_score_11.png
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diff --git a/actions/lfp_speed/data/figures/speed.svg b/actions/lfp_speed/data/figures/speed.svg
new file mode 100644
index 000000000..6cff19606
--- /dev/null
+++ b/actions/lfp_speed/data/figures/speed.svg
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ead962b3f64f18cc5ef5e48e8fd709b83163ec3338828c8be6867ad4122aeaf
+size 32145
diff --git a/actions/lfp_speed/data/statistics/power_freq_score_summary_combined.csv b/actions/lfp_speed/data/statistics/power_freq_score_summary_combined.csv
new file mode 100644
index 000000000..17afdc041
--- /dev/null
+++ b/actions/lfp_speed/data/statistics/power_freq_score_summary_combined.csv
@@ -0,0 +1,3 @@
+,Baseline,11 Hz,MWU,PRS
+power_score,0.03 ± 0.01 (480),0.03 ± 0.01 (480),"144593.00, 0.000","0.05, 0.000"
+freq_score,0.06 ± 0.01 (480),0.06 ± 0.01 (480),"150719.00, 0.000","0.12, 0.000"
diff --git a/actions/lfp_speed/data/statistics/power_freq_score_summary_combined.tex b/actions/lfp_speed/data/statistics/power_freq_score_summary_combined.tex
new file mode 100644
index 000000000..73908b655
--- /dev/null
+++ b/actions/lfp_speed/data/statistics/power_freq_score_summary_combined.tex
@@ -0,0 +1,8 @@
+\begin{tabular}{lllll}
+\toprule
+{} &           Baseline &              11 Hz &               MWU &          PRS \\
+\midrule
+power\_score &  0.03 ± 0.01 (480) &  0.03 ± 0.01 (480) &  144593.00, 0.000 &  0.05, 0.000 \\
+freq\_score  &  0.06 ± 0.01 (480) &  0.06 ± 0.01 (480) &  150719.00, 0.000 &  0.12, 0.000 \\
+\bottomrule
+\end{tabular}
diff --git a/actions/lfp_speed/data/statistics/power_freq_score_summary_i.csv b/actions/lfp_speed/data/statistics/power_freq_score_summary_i.csv
new file mode 100644
index 000000000..6a019bb4b
--- /dev/null
+++ b/actions/lfp_speed/data/statistics/power_freq_score_summary_i.csv
@@ -0,0 +1,3 @@
+,Baseline,11 Hz,MWU,PRS
+power_score,-0.03 ± 0.01 (208),-0.03 ± 0.01 (208),"32624.00, 0.000","0.18, 0.000"
+freq_score,-0.01 ± 0.01 (208),-0.01 ± 0.01 (208),"37221.00, 0.000","0.21, 0.000"
diff --git a/actions/lfp_speed/data/statistics/power_freq_score_summary_i.tex b/actions/lfp_speed/data/statistics/power_freq_score_summary_i.tex
new file mode 100644
index 000000000..ae1cd6d5d
--- /dev/null
+++ b/actions/lfp_speed/data/statistics/power_freq_score_summary_i.tex
@@ -0,0 +1,8 @@
+\begin{tabular}{lllll}
+\toprule
+{} &            Baseline &               11 Hz &              MWU &          PRS \\
+\midrule
+power\_score &  -0.03 ± 0.01 (208) &  -0.03 ± 0.01 (208) &  32624.00, 0.000 &  0.18, 0.000 \\
+freq\_score  &  -0.01 ± 0.01 (208) &  -0.01 ± 0.01 (208) &  37221.00, 0.000 &  0.21, 0.000 \\
+\bottomrule
+\end{tabular}
diff --git a/actions/lfp_speed/data/statistics/power_freq_score_summary_ii.csv b/actions/lfp_speed/data/statistics/power_freq_score_summary_ii.csv
new file mode 100644
index 000000000..cb9da52e2
--- /dev/null
+++ b/actions/lfp_speed/data/statistics/power_freq_score_summary_ii.csv
@@ -0,0 +1,3 @@
+,Baseline,11 Hz,MWU,PRS
+power_score,0.04 ± 0.01 (136),0.04 ± 0.01 (136),"12586.00, 0.000","0.08, 0.000"
+freq_score,0.01 ± 0.01 (136),0.01 ± 0.01 (136),"16950.00, 0.000","0.22, 0.000"
diff --git a/actions/lfp_speed/data/statistics/power_freq_score_summary_ii.tex b/actions/lfp_speed/data/statistics/power_freq_score_summary_ii.tex
new file mode 100644
index 000000000..76cba08b1
--- /dev/null
+++ b/actions/lfp_speed/data/statistics/power_freq_score_summary_ii.tex
@@ -0,0 +1,8 @@
+\begin{tabular}{lllll}
+\toprule
+{} &           Baseline &              11 Hz &              MWU &          PRS \\
+\midrule
+power\_score &  0.04 ± 0.01 (136) &  0.04 ± 0.01 (136) &  12586.00, 0.000 &  0.08, 0.000 \\
+freq\_score  &  0.01 ± 0.01 (136) &  0.01 ± 0.01 (136) &  16950.00, 0.000 &  0.22, 0.000 \\
+\bottomrule
+\end{tabular}