connear_notebook.html

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

<title>connear_notebook_rebuttal</title>

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<style type="text/css">
    /*!
*
* Twitter Bootstrap
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 * Bootstrap v3.3.7 (http://getbootstrap.com)
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/*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */
html {
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  -ms-text-size-adjust: 100%;
  -webkit-text-size-adjust: 100%;
}
body {
  margin: 0;
}
article,
aside,
details,
figcaption,
figure,
footer,
header,
hgroup,
main,
menu,
nav,
section,
summary {
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}
audio,
canvas,
progress,
video {
  display: inline-block;
  vertical-align: baseline;
}
audio:not([controls]) {
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  height: 0;
}
[hidden],
template {
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}
a {
  background-color: transparent;
}
a:active,
a:hover {
  outline: 0;
}
abbr[title] {
  border-bottom: 1px dotted;
}
b,
strong {
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}
dfn {
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}
h1 {
  font-size: 2em;
  margin: 0.67em 0;
}
mark {
  background: #ff0;
  color: #000;
}
small {
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}
sub,
sup {
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  position: relative;
  vertical-align: baseline;
}
sup {
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}
sub {
  bottom: -0.25em;
}
img {
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}
svg:not(:root) {
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}
figure {
  margin: 1em 40px;
}
hr {
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pre {
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code,
kbd,
pre,
samp {
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}
button,
input,
optgroup,
select,
textarea {
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}
button {
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}
button,
select {
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}
button,
html input[type="button"],
input[type="reset"],
input[type="submit"] {
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}
button[disabled],
html input[disabled] {
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button::-moz-focus-inner,
input::-moz-focus-inner {
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input {
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input[type="checkbox"],
input[type="radio"] {
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input[type="number"]::-webkit-inner-spin-button,
input[type="number"]::-webkit-outer-spin-button {
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}
input[type="search"] {
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  box-sizing: content-box;
}
input[type="search"]::-webkit-search-cancel-button,
input[type="search"]::-webkit-search-decoration {
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}
fieldset {
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legend {
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textarea {
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optgroup {
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table {
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td,
th {
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/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */
@media print {
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  a:visited {
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  content: "\e252";
}
.glyphicon-triangle-top:before {
  content: "\e253";
}
.glyphicon-console:before {
  content: "\e254";
}
.glyphicon-superscript:before {
  content: "\e255";
}
.glyphicon-subscript:before {
  content: "\e256";
}
.glyphicon-menu-left:before {
  content: "\e257";
}
.glyphicon-menu-right:before {
  content: "\e258";
}
.glyphicon-menu-down:before {
  content: "\e259";
}
.glyphicon-menu-up:before {
  content: "\e260";
}
* {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
*:before,
*:after {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
html {
  font-size: 10px;
  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);
}
body {
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-size: 13px;
  line-height: 1.42857143;
  color: #000;
  background-color: #fff;
}
input,
button,
select,
textarea {
  font-family: inherit;
  font-size: inherit;
  line-height: inherit;
}
a {
  color: #337ab7;
  text-decoration: none;
}
a:hover,
a:focus {
  color: #23527c;
  text-decoration: underline;
}
a:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
figure {
  margin: 0;
}
img {
  vertical-align: middle;
}
.img-responsive,
.thumbnail > img,
.thumbnail a > img,
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  display: block;
  max-width: 100%;
  height: auto;
}
.img-rounded {
  border-radius: 3px;
}
.img-thumbnail {
  padding: 4px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: all 0.2s ease-in-out;
  -o-transition: all 0.2s ease-in-out;
  transition: all 0.2s ease-in-out;
  display: inline-block;
  max-width: 100%;
  height: auto;
}
.img-circle {
  border-radius: 50%;
}
hr {
  margin-top: 18px;
  margin-bottom: 18px;
  border: 0;
  border-top: 1px solid #eeeeee;
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  margin: -1px;
  padding: 0;
  overflow: hidden;
  clip: rect(0, 0, 0, 0);
  border: 0;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
[role="button"] {
  cursor: pointer;
}
h1,
h2,
h3,
h4,
h5,
h6,
.h1,
.h2,
.h3,
.h4,
.h5,
.h6 {
  font-family: inherit;
  font-weight: 500;
  line-height: 1.1;
  color: inherit;
}
h1 small,
h2 small,
h3 small,
h4 small,
h5 small,
h6 small,
.h1 small,
.h2 small,
.h3 small,
.h4 small,
.h5 small,
.h6 small,
h1 .small,
h2 .small,
h3 .small,
h4 .small,
h5 .small,
h6 .small,
.h1 .small,
.h2 .small,
.h3 .small,
.h4 .small,
.h5 .small,
.h6 .small {
  font-weight: normal;
  line-height: 1;
  color: #777777;
}
h1,
.h1,
h2,
.h2,
h3,
.h3 {
  margin-top: 18px;
  margin-bottom: 9px;
}
h1 small,
.h1 small,
h2 small,
.h2 small,
h3 small,
.h3 small,
h1 .small,
.h1 .small,
h2 .small,
.h2 .small,
h3 .small,
.h3 .small {
  font-size: 65%;
}
h4,
.h4,
h5,
.h5,
h6,
.h6 {
  margin-top: 9px;
  margin-bottom: 9px;
}
h4 small,
.h4 small,
h5 small,
.h5 small,
h6 small,
.h6 small,
h4 .small,
.h4 .small,
h5 .small,
.h5 .small,
h6 .small,
.h6 .small {
  font-size: 75%;
}
h1,
.h1 {
  font-size: 33px;
}
h2,
.h2 {
  font-size: 27px;
}
h3,
.h3 {
  font-size: 23px;
}
h4,
.h4 {
  font-size: 17px;
}
h5,
.h5 {
  font-size: 13px;
}
h6,
.h6 {
  font-size: 12px;
}
p {
  margin: 0 0 9px;
}
.lead {
  margin-bottom: 18px;
  font-size: 14px;
  font-weight: 300;
  line-height: 1.4;
}
@media (min-width: 768px) {
  .lead {
    font-size: 19.5px;
  }
}
small,
.small {
  font-size: 92%;
}
mark,
.mark {
  background-color: #fcf8e3;
  padding: .2em;
}
.text-left {
  text-align: left;
}
.text-right {
  text-align: right;
}
.text-center {
  text-align: center;
}
.text-justify {
  text-align: justify;
}
.text-nowrap {
  white-space: nowrap;
}
.text-lowercase {
  text-transform: lowercase;
}
.text-uppercase {
  text-transform: uppercase;
}
.text-capitalize {
  text-transform: capitalize;
}
.text-muted {
  color: #777777;
}
.text-primary {
  color: #337ab7;
}
a.text-primary:hover,
a.text-primary:focus {
  color: #286090;
}
.text-success {
  color: #3c763d;
}
a.text-success:hover,
a.text-success:focus {
  color: #2b542c;
}
.text-info {
  color: #31708f;
}
a.text-info:hover,
a.text-info:focus {
  color: #245269;
}
.text-warning {
  color: #8a6d3b;
}
a.text-warning:hover,
a.text-warning:focus {
  color: #66512c;
}
.text-danger {
  color: #a94442;
}
a.text-danger:hover,
a.text-danger:focus {
  color: #843534;
}
.bg-primary {
  color: #fff;
  background-color: #337ab7;
}
a.bg-primary:hover,
a.bg-primary:focus {
  background-color: #286090;
}
.bg-success {
  background-color: #dff0d8;
}
a.bg-success:hover,
a.bg-success:focus {
  background-color: #c1e2b3;
}
.bg-info {
  background-color: #d9edf7;
}
a.bg-info:hover,
a.bg-info:focus {
  background-color: #afd9ee;
}
.bg-warning {
  background-color: #fcf8e3;
}
a.bg-warning:hover,
a.bg-warning:focus {
  background-color: #f7ecb5;
}
.bg-danger {
  background-color: #f2dede;
}
a.bg-danger:hover,
a.bg-danger:focus {
  background-color: #e4b9b9;
}
.page-header {
  padding-bottom: 8px;
  margin: 36px 0 18px;
  border-bottom: 1px solid #eeeeee;
}
ul,
ol {
  margin-top: 0;
  margin-bottom: 9px;
}
ul ul,
ol ul,
ul ol,
ol ol {
  margin-bottom: 0;
}
.list-unstyled {
  padding-left: 0;
  list-style: none;
}
.list-inline {
  padding-left: 0;
  list-style: none;
  margin-left: -5px;
}
.list-inline > li {
  display: inline-block;
  padding-left: 5px;
  padding-right: 5px;
}
dl {
  margin-top: 0;
  margin-bottom: 18px;
}
dt,
dd {
  line-height: 1.42857143;
}
dt {
  font-weight: bold;
}
dd {
  margin-left: 0;
}
@media (min-width: 541px) {
  .dl-horizontal dt {
    float: left;
    width: 160px;
    clear: left;
    text-align: right;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
  }
  .dl-horizontal dd {
    margin-left: 180px;
  }
}
abbr[title],
abbr[data-original-title] {
  cursor: help;
  border-bottom: 1px dotted #777777;
}
.initialism {
  font-size: 90%;
  text-transform: uppercase;
}
blockquote {
  padding: 9px 18px;
  margin: 0 0 18px;
  font-size: inherit;
  border-left: 5px solid #eeeeee;
}
blockquote p:last-child,
blockquote ul:last-child,
blockquote ol:last-child {
  margin-bottom: 0;
}
blockquote footer,
blockquote small,
blockquote .small {
  display: block;
  font-size: 80%;
  line-height: 1.42857143;
  color: #777777;
}
blockquote footer:before,
blockquote small:before,
blockquote .small:before {
  content: '\2014 \00A0';
}
.blockquote-reverse,
blockquote.pull-right {
  padding-right: 15px;
  padding-left: 0;
  border-right: 5px solid #eeeeee;
  border-left: 0;
  text-align: right;
}
.blockquote-reverse footer:before,
blockquote.pull-right footer:before,
.blockquote-reverse small:before,
blockquote.pull-right small:before,
.blockquote-reverse .small:before,
blockquote.pull-right .small:before {
  content: '';
}
.blockquote-reverse footer:after,
blockquote.pull-right footer:after,
.blockquote-reverse small:after,
blockquote.pull-right small:after,
.blockquote-reverse .small:after,
blockquote.pull-right .small:after {
  content: '\00A0 \2014';
}
address {
  margin-bottom: 18px;
  font-style: normal;
  line-height: 1.42857143;
}
code,
kbd,
pre,
samp {
  font-family: monospace;
}
code {
  padding: 2px 4px;
  font-size: 90%;
  color: #c7254e;
  background-color: #f9f2f4;
  border-radius: 2px;
}
kbd {
  padding: 2px 4px;
  font-size: 90%;
  color: #888;
  background-color: transparent;
  border-radius: 1px;
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
}
kbd kbd {
  padding: 0;
  font-size: 100%;
  font-weight: bold;
  box-shadow: none;
}
pre {
  display: block;
  padding: 8.5px;
  margin: 0 0 9px;
  font-size: 12px;
  line-height: 1.42857143;
  word-break: break-all;
  word-wrap: break-word;
  color: #333333;
  background-color: #f5f5f5;
  border: 1px solid #ccc;
  border-radius: 2px;
}
pre code {
  padding: 0;
  font-size: inherit;
  color: inherit;
  white-space: pre-wrap;
  background-color: transparent;
  border-radius: 0;
}
.pre-scrollable {
  max-height: 340px;
  overflow-y: scroll;
}
.container {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
@media (min-width: 768px) {
  .container {
    width: 768px;
  }
}
@media (min-width: 992px) {
  .container {
    width: 940px;
  }
}
@media (min-width: 1200px) {
  .container {
    width: 1140px;
  }
}
.container-fluid {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
.row {
  margin-left: 0px;
  margin-right: 0px;
}
.col-xs-1, .col-sm-1, .col-md-1, .col-lg-1, .col-xs-2, .col-sm-2, .col-md-2, .col-lg-2, .col-xs-3, .col-sm-3, .col-md-3, .col-lg-3, .col-xs-4, .col-sm-4, .col-md-4, .col-lg-4, .col-xs-5, .col-sm-5, .col-md-5, .col-lg-5, .col-xs-6, .col-sm-6, .col-md-6, .col-lg-6, .col-xs-7, .col-sm-7, .col-md-7, .col-lg-7, .col-xs-8, .col-sm-8, .col-md-8, .col-lg-8, .col-xs-9, .col-sm-9, .col-md-9, .col-lg-9, .col-xs-10, .col-sm-10, .col-md-10, .col-lg-10, .col-xs-11, .col-sm-11, .col-md-11, .col-lg-11, .col-xs-12, .col-sm-12, .col-md-12, .col-lg-12 {
  position: relative;
  min-height: 1px;
  padding-left: 0px;
  padding-right: 0px;
}
.col-xs-1, .col-xs-2, .col-xs-3, .col-xs-4, .col-xs-5, .col-xs-6, .col-xs-7, .col-xs-8, .col-xs-9, .col-xs-10, .col-xs-11, .col-xs-12 {
  float: left;
}
.col-xs-12 {
  width: 100%;
}
.col-xs-11 {
  width: 91.66666667%;
}
.col-xs-10 {
  width: 83.33333333%;
}
.col-xs-9 {
  width: 75%;
}
.col-xs-8 {
  width: 66.66666667%;
}
.col-xs-7 {
  width: 58.33333333%;
}
.col-xs-6 {
  width: 50%;
}
.col-xs-5 {
  width: 41.66666667%;
}
.col-xs-4 {
  width: 33.33333333%;
}
.col-xs-3 {
  width: 25%;
}
.col-xs-2 {
  width: 16.66666667%;
}
.col-xs-1 {
  width: 8.33333333%;
}
.col-xs-pull-12 {
  right: 100%;
}
.col-xs-pull-11 {
  right: 91.66666667%;
}
.col-xs-pull-10 {
  right: 83.33333333%;
}
.col-xs-pull-9 {
  right: 75%;
}
.col-xs-pull-8 {
  right: 66.66666667%;
}
.col-xs-pull-7 {
  right: 58.33333333%;
}
.col-xs-pull-6 {
  right: 50%;
}
.col-xs-pull-5 {
  right: 41.66666667%;
}
.col-xs-pull-4 {
  right: 33.33333333%;
}
.col-xs-pull-3 {
  right: 25%;
}
.col-xs-pull-2 {
  right: 16.66666667%;
}
.col-xs-pull-1 {
  right: 8.33333333%;
}
.col-xs-pull-0 {
  right: auto;
}
.col-xs-push-12 {
  left: 100%;
}
.col-xs-push-11 {
  left: 91.66666667%;
}
.col-xs-push-10 {
  left: 83.33333333%;
}
.col-xs-push-9 {
  left: 75%;
}
.col-xs-push-8 {
  left: 66.66666667%;
}
.col-xs-push-7 {
  left: 58.33333333%;
}
.col-xs-push-6 {
  left: 50%;
}
.col-xs-push-5 {
  left: 41.66666667%;
}
.col-xs-push-4 {
  left: 33.33333333%;
}
.col-xs-push-3 {
  left: 25%;
}
.col-xs-push-2 {
  left: 16.66666667%;
}
.col-xs-push-1 {
  left: 8.33333333%;
}
.col-xs-push-0 {
  left: auto;
}
.col-xs-offset-12 {
  margin-left: 100%;
}
.col-xs-offset-11 {
  margin-left: 91.66666667%;
}
.col-xs-offset-10 {
  margin-left: 83.33333333%;
}
.col-xs-offset-9 {
  margin-left: 75%;
}
.col-xs-offset-8 {
  margin-left: 66.66666667%;
}
.col-xs-offset-7 {
  margin-left: 58.33333333%;
}
.col-xs-offset-6 {
  margin-left: 50%;
}
.col-xs-offset-5 {
  margin-left: 41.66666667%;
}
.col-xs-offset-4 {
  margin-left: 33.33333333%;
}
.col-xs-offset-3 {
  margin-left: 25%;
}
.col-xs-offset-2 {
  margin-left: 16.66666667%;
}
.col-xs-offset-1 {
  margin-left: 8.33333333%;
}
.col-xs-offset-0 {
  margin-left: 0%;
}
@media (min-width: 768px) {
  .col-sm-1, .col-sm-2, .col-sm-3, .col-sm-4, .col-sm-5, .col-sm-6, .col-sm-7, .col-sm-8, .col-sm-9, .col-sm-10, .col-sm-11, .col-sm-12 {
    float: left;
  }
  .col-sm-12 {
    width: 100%;
  }
  .col-sm-11 {
    width: 91.66666667%;
  }
  .col-sm-10 {
    width: 83.33333333%;
  }
  .col-sm-9 {
    width: 75%;
  }
  .col-sm-8 {
    width: 66.66666667%;
  }
  .col-sm-7 {
    width: 58.33333333%;
  }
  .col-sm-6 {
    width: 50%;
  }
  .col-sm-5 {
    width: 41.66666667%;
  }
  .col-sm-4 {
    width: 33.33333333%;
  }
  .col-sm-3 {
    width: 25%;
  }
  .col-sm-2 {
    width: 16.66666667%;
  }
  .col-sm-1 {
    width: 8.33333333%;
  }
  .col-sm-pull-12 {
    right: 100%;
  }
  .col-sm-pull-11 {
    right: 91.66666667%;
  }
  .col-sm-pull-10 {
    right: 83.33333333%;
  }
  .col-sm-pull-9 {
    right: 75%;
  }
  .col-sm-pull-8 {
    right: 66.66666667%;
  }
  .col-sm-pull-7 {
    right: 58.33333333%;
  }
  .col-sm-pull-6 {
    right: 50%;
  }
  .col-sm-pull-5 {
    right: 41.66666667%;
  }
  .col-sm-pull-4 {
    right: 33.33333333%;
  }
  .col-sm-pull-3 {
    right: 25%;
  }
  .col-sm-pull-2 {
    right: 16.66666667%;
  }
  .col-sm-pull-1 {
    right: 8.33333333%;
  }
  .col-sm-pull-0 {
    right: auto;
  }
  .col-sm-push-12 {
    left: 100%;
  }
  .col-sm-push-11 {
    left: 91.66666667%;
  }
  .col-sm-push-10 {
    left: 83.33333333%;
  }
  .col-sm-push-9 {
    left: 75%;
  }
  .col-sm-push-8 {
    left: 66.66666667%;
  }
  .col-sm-push-7 {
    left: 58.33333333%;
  }
  .col-sm-push-6 {
    left: 50%;
  }
  .col-sm-push-5 {
    left: 41.66666667%;
  }
  .col-sm-push-4 {
    left: 33.33333333%;
  }
  .col-sm-push-3 {
    left: 25%;
  }
  .col-sm-push-2 {
    left: 16.66666667%;
  }
  .col-sm-push-1 {
    left: 8.33333333%;
  }
  .col-sm-push-0 {
    left: auto;
  }
  .col-sm-offset-12 {
    margin-left: 100%;
  }
  .col-sm-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-sm-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-sm-offset-9 {
    margin-left: 75%;
  }
  .col-sm-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-sm-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-sm-offset-6 {
    margin-left: 50%;
  }
  .col-sm-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-sm-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-sm-offset-3 {
    margin-left: 25%;
  }
  .col-sm-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-sm-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-sm-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 992px) {
  .col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-11, .col-md-12 {
    float: left;
  }
  .col-md-12 {
    width: 100%;
  }
  .col-md-11 {
    width: 91.66666667%;
  }
  .col-md-10 {
    width: 83.33333333%;
  }
  .col-md-9 {
    width: 75%;
  }
  .col-md-8 {
    width: 66.66666667%;
  }
  .col-md-7 {
    width: 58.33333333%;
  }
  .col-md-6 {
    width: 50%;
  }
  .col-md-5 {
    width: 41.66666667%;
  }
  .col-md-4 {
    width: 33.33333333%;
  }
  .col-md-3 {
    width: 25%;
  }
  .col-md-2 {
    width: 16.66666667%;
  }
  .col-md-1 {
    width: 8.33333333%;
  }
  .col-md-pull-12 {
    right: 100%;
  }
  .col-md-pull-11 {
    right: 91.66666667%;
  }
  .col-md-pull-10 {
    right: 83.33333333%;
  }
  .col-md-pull-9 {
    right: 75%;
  }
  .col-md-pull-8 {
    right: 66.66666667%;
  }
  .col-md-pull-7 {
    right: 58.33333333%;
  }
  .col-md-pull-6 {
    right: 50%;
  }
  .col-md-pull-5 {
    right: 41.66666667%;
  }
  .col-md-pull-4 {
    right: 33.33333333%;
  }
  .col-md-pull-3 {
    right: 25%;
  }
  .col-md-pull-2 {
    right: 16.66666667%;
  }
  .col-md-pull-1 {
    right: 8.33333333%;
  }
  .col-md-pull-0 {
    right: auto;
  }
  .col-md-push-12 {
    left: 100%;
  }
  .col-md-push-11 {
    left: 91.66666667%;
  }
  .col-md-push-10 {
    left: 83.33333333%;
  }
  .col-md-push-9 {
    left: 75%;
  }
  .col-md-push-8 {
    left: 66.66666667%;
  }
  .col-md-push-7 {
    left: 58.33333333%;
  }
  .col-md-push-6 {
    left: 50%;
  }
  .col-md-push-5 {
    left: 41.66666667%;
  }
  .col-md-push-4 {
    left: 33.33333333%;
  }
  .col-md-push-3 {
    left: 25%;
  }
  .col-md-push-2 {
    left: 16.66666667%;
  }
  .col-md-push-1 {
    left: 8.33333333%;
  }
  .col-md-push-0 {
    left: auto;
  }
  .col-md-offset-12 {
    margin-left: 100%;
  }
  .col-md-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-md-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-md-offset-9 {
    margin-left: 75%;
  }
  .col-md-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-md-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-md-offset-6 {
    margin-left: 50%;
  }
  .col-md-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-md-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-md-offset-3 {
    margin-left: 25%;
  }
  .col-md-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-md-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-md-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 1200px) {
  .col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-11, .col-lg-12 {
    float: left;
  }
  .col-lg-12 {
    width: 100%;
  }
  .col-lg-11 {
    width: 91.66666667%;
  }
  .col-lg-10 {
    width: 83.33333333%;
  }
  .col-lg-9 {
    width: 75%;
  }
  .col-lg-8 {
    width: 66.66666667%;
  }
  .col-lg-7 {
    width: 58.33333333%;
  }
  .col-lg-6 {
    width: 50%;
  }
  .col-lg-5 {
    width: 41.66666667%;
  }
  .col-lg-4 {
    width: 33.33333333%;
  }
  .col-lg-3 {
    width: 25%;
  }
  .col-lg-2 {
    width: 16.66666667%;
  }
  .col-lg-1 {
    width: 8.33333333%;
  }
  .col-lg-pull-12 {
    right: 100%;
  }
  .col-lg-pull-11 {
    right: 91.66666667%;
  }
  .col-lg-pull-10 {
    right: 83.33333333%;
  }
  .col-lg-pull-9 {
    right: 75%;
  }
  .col-lg-pull-8 {
    right: 66.66666667%;
  }
  .col-lg-pull-7 {
    right: 58.33333333%;
  }
  .col-lg-pull-6 {
    right: 50%;
  }
  .col-lg-pull-5 {
    right: 41.66666667%;
  }
  .col-lg-pull-4 {
    right: 33.33333333%;
  }
  .col-lg-pull-3 {
    right: 25%;
  }
  .col-lg-pull-2 {
    right: 16.66666667%;
  }
  .col-lg-pull-1 {
    right: 8.33333333%;
  }
  .col-lg-pull-0 {
    right: auto;
  }
  .col-lg-push-12 {
    left: 100%;
  }
  .col-lg-push-11 {
    left: 91.66666667%;
  }
  .col-lg-push-10 {
    left: 83.33333333%;
  }
  .col-lg-push-9 {
    left: 75%;
  }
  .col-lg-push-8 {
    left: 66.66666667%;
  }
  .col-lg-push-7 {
    left: 58.33333333%;
  }
  .col-lg-push-6 {
    left: 50%;
  }
  .col-lg-push-5 {
    left: 41.66666667%;
  }
  .col-lg-push-4 {
    left: 33.33333333%;
  }
  .col-lg-push-3 {
    left: 25%;
  }
  .col-lg-push-2 {
    left: 16.66666667%;
  }
  .col-lg-push-1 {
    left: 8.33333333%;
  }
  .col-lg-push-0 {
    left: auto;
  }
  .col-lg-offset-12 {
    margin-left: 100%;
  }
  .col-lg-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-lg-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-lg-offset-9 {
    margin-left: 75%;
  }
  .col-lg-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-lg-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-lg-offset-6 {
    margin-left: 50%;
  }
  .col-lg-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-lg-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-lg-offset-3 {
    margin-left: 25%;
  }
  .col-lg-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-lg-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-lg-offset-0 {
    margin-left: 0%;
  }
}
table {
  background-color: transparent;
}
caption {
  padding-top: 8px;
  padding-bottom: 8px;
  color: #777777;
  text-align: left;
}
th {
  text-align: left;
}
.table {
  width: 100%;
  max-width: 100%;
  margin-bottom: 18px;
}
.table > thead > tr > th,
.table > tbody > tr > th,
.table > tfoot > tr > th,
.table > thead > tr > td,
.table > tbody > tr > td,
.table > tfoot > tr > td {
  padding: 8px;
  line-height: 1.42857143;
  vertical-align: top;
  border-top: 1px solid #ddd;
}
.table > thead > tr > th {
  vertical-align: bottom;
  border-bottom: 2px solid #ddd;
}
.table > caption + thead > tr:first-child > th,
.table > colgroup + thead > tr:first-child > th,
.table > thead:first-child > tr:first-child > th,
.table > caption + thead > tr:first-child > td,
.table > colgroup + thead > tr:first-child > td,
.table > thead:first-child > tr:first-child > td {
  border-top: 0;
}
.table > tbody + tbody {
  border-top: 2px solid #ddd;
}
.table .table {
  background-color: #fff;
}
.table-condensed > thead > tr > th,
.table-condensed > tbody > tr > th,
.table-condensed > tfoot > tr > th,
.table-condensed > thead > tr > td,
.table-condensed > tbody > tr > td,
.table-condensed > tfoot > tr > td {
  padding: 5px;
}
.table-bordered {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > tbody > tr > th,
.table-bordered > tfoot > tr > th,
.table-bordered > thead > tr > td,
.table-bordered > tbody > tr > td,
.table-bordered > tfoot > tr > td {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > thead > tr > td {
  border-bottom-width: 2px;
}
.table-striped > tbody > tr:nth-of-type(odd) {
  background-color: #f9f9f9;
}
.table-hover > tbody > tr:hover {
  background-color: #f5f5f5;
}
table col[class*="col-"] {
  position: static;
  float: none;
  display: table-column;
}
table td[class*="col-"],
table th[class*="col-"] {
  position: static;
  float: none;
  display: table-cell;
}
.table > thead > tr > td.active,
.table > tbody > tr > td.active,
.table > tfoot > tr > td.active,
.table > thead > tr > th.active,
.table > tbody > tr > th.active,
.table > tfoot > tr > th.active,
.table > thead > tr.active > td,
.table > tbody > tr.active > td,
.table > tfoot > tr.active > td,
.table > thead > tr.active > th,
.table > tbody > tr.active > th,
.table > tfoot > tr.active > th {
  background-color: #f5f5f5;
}
.table-hover > tbody > tr > td.active:hover,
.table-hover > tbody > tr > th.active:hover,
.table-hover > tbody > tr.active:hover > td,
.table-hover > tbody > tr:hover > .active,
.table-hover > tbody > tr.active:hover > th {
  background-color: #e8e8e8;
}
.table > thead > tr > td.success,
.table > tbody > tr > td.success,
.table > tfoot > tr > td.success,
.table > thead > tr > th.success,
.table > tbody > tr > th.success,
.table > tfoot > tr > th.success,
.table > thead > tr.success > td,
.table > tbody > tr.success > td,
.table > tfoot > tr.success > td,
.table > thead > tr.success > th,
.table > tbody > tr.success > th,
.table > tfoot > tr.success > th {
  background-color: #dff0d8;
}
.table-hover > tbody > tr > td.success:hover,
.table-hover > tbody > tr > th.success:hover,
.table-hover > tbody > tr.success:hover > td,
.table-hover > tbody > tr:hover > .success,
.table-hover > tbody > tr.success:hover > th {
  background-color: #d0e9c6;
}
.table > thead > tr > td.info,
.table > tbody > tr > td.info,
.table > tfoot > tr > td.info,
.table > thead > tr > th.info,
.table > tbody > tr > th.info,
.table > tfoot > tr > th.info,
.table > thead > tr.info > td,
.table > tbody > tr.info > td,
.table > tfoot > tr.info > td,
.table > thead > tr.info > th,
.table > tbody > tr.info > th,
.table > tfoot > tr.info > th {
  background-color: #d9edf7;
}
.table-hover > tbody > tr > td.info:hover,
.table-hover > tbody > tr > th.info:hover,
.table-hover > tbody > tr.info:hover > td,
.table-hover > tbody > tr:hover > .info,
.table-hover > tbody > tr.info:hover > th {
  background-color: #c4e3f3;
}
.table > thead > tr > td.warning,
.table > tbody > tr > td.warning,
.table > tfoot > tr > td.warning,
.table > thead > tr > th.warning,
.table > tbody > tr > th.warning,
.table > tfoot > tr > th.warning,
.table > thead > tr.warning > td,
.table > tbody > tr.warning > td,
.table > tfoot > tr.warning > td,
.table > thead > tr.warning > th,
.table > tbody > tr.warning > th,
.table > tfoot > tr.warning > th {
  background-color: #fcf8e3;
}
.table-hover > tbody > tr > td.warning:hover,
.table-hover > tbody > tr > th.warning:hover,
.table-hover > tbody > tr.warning:hover > td,
.table-hover > tbody > tr:hover > .warning,
.table-hover > tbody > tr.warning:hover > th {
  background-color: #faf2cc;
}
.table > thead > tr > td.danger,
.table > tbody > tr > td.danger,
.table > tfoot > tr > td.danger,
.table > thead > tr > th.danger,
.table > tbody > tr > th.danger,
.table > tfoot > tr > th.danger,
.table > thead > tr.danger > td,
.table > tbody > tr.danger > td,
.table > tfoot > tr.danger > td,
.table > thead > tr.danger > th,
.table > tbody > tr.danger > th,
.table > tfoot > tr.danger > th {
  background-color: #f2dede;
}
.table-hover > tbody > tr > td.danger:hover,
.table-hover > tbody > tr > th.danger:hover,
.table-hover > tbody > tr.danger:hover > td,
.table-hover > tbody > tr:hover > .danger,
.table-hover > tbody > tr.danger:hover > th {
  background-color: #ebcccc;
}
.table-responsive {
  overflow-x: auto;
  min-height: 0.01%;
}
@media screen and (max-width: 767px) {
  .table-responsive {
    width: 100%;
    margin-bottom: 13.5px;
    overflow-y: hidden;
    -ms-overflow-style: -ms-autohiding-scrollbar;
    border: 1px solid #ddd;
  }
  .table-responsive > .table {
    margin-bottom: 0;
  }
  .table-responsive > .table > thead > tr > th,
  .table-responsive > .table > tbody > tr > th,
  .table-responsive > .table > tfoot > tr > th,
  .table-responsive > .table > thead > tr > td,
  .table-responsive > .table > tbody > tr > td,
  .table-responsive > .table > tfoot > tr > td {
    white-space: nowrap;
  }
  .table-responsive > .table-bordered {
    border: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:first-child,
  .table-responsive > .table-bordered > tbody > tr > th:first-child,
  .table-responsive > .table-bordered > tfoot > tr > th:first-child,
  .table-responsive > .table-bordered > thead > tr > td:first-child,
  .table-responsive > .table-bordered > tbody > tr > td:first-child,
  .table-responsive > .table-bordered > tfoot > tr > td:first-child {
    border-left: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:last-child,
  .table-responsive > .table-bordered > tbody > tr > th:last-child,
  .table-responsive > .table-bordered > tfoot > tr > th:last-child,
  .table-responsive > .table-bordered > thead > tr > td:last-child,
  .table-responsive > .table-bordered > tbody > tr > td:last-child,
  .table-responsive > .table-bordered > tfoot > tr > td:last-child {
    border-right: 0;
  }
  .table-responsive > .table-bordered > tbody > tr:last-child > th,
  .table-responsive > .table-bordered > tfoot > tr:last-child > th,
  .table-responsive > .table-bordered > tbody > tr:last-child > td,
  .table-responsive > .table-bordered > tfoot > tr:last-child > td {
    border-bottom: 0;
  }
}
fieldset {
  padding: 0;
  margin: 0;
  border: 0;
  min-width: 0;
}
legend {
  display: block;
  width: 100%;
  padding: 0;
  margin-bottom: 18px;
  font-size: 19.5px;
  line-height: inherit;
  color: #333333;
  border: 0;
  border-bottom: 1px solid #e5e5e5;
}
label {
  display: inline-block;
  max-width: 100%;
  margin-bottom: 5px;
  font-weight: bold;
}
input[type="search"] {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
input[type="radio"],
input[type="checkbox"] {
  margin: 4px 0 0;
  margin-top: 1px \9;
  line-height: normal;
}
input[type="file"] {
  display: block;
}
input[type="range"] {
  display: block;
  width: 100%;
}
select[multiple],
select[size] {
  height: auto;
}
input[type="file"]:focus,
input[type="radio"]:focus,
input[type="checkbox"]:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
output {
  display: block;
  padding-top: 7px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
}
.form-control {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
}
.form-control:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.form-control::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.form-control:-ms-input-placeholder {
  color: #999;
}
.form-control::-webkit-input-placeholder {
  color: #999;
}
.form-control::-ms-expand {
  border: 0;
  background-color: transparent;
}
.form-control[disabled],
.form-control[readonly],
fieldset[disabled] .form-control {
  background-color: #eeeeee;
  opacity: 1;
}
.form-control[disabled],
fieldset[disabled] .form-control {
  cursor: not-allowed;
}
textarea.form-control {
  height: auto;
}
input[type="search"] {
  -webkit-appearance: none;
}
@media screen and (-webkit-min-device-pixel-ratio: 0) {
  input[type="date"].form-control,
  input[type="time"].form-control,
  input[type="datetime-local"].form-control,
  input[type="month"].form-control {
    line-height: 32px;
  }
  input[type="date"].input-sm,
  input[type="time"].input-sm,
  input[type="datetime-local"].input-sm,
  input[type="month"].input-sm,
  .input-group-sm input[type="date"],
  .input-group-sm input[type="time"],
  .input-group-sm input[type="datetime-local"],
  .input-group-sm input[type="month"] {
    line-height: 30px;
  }
  input[type="date"].input-lg,
  input[type="time"].input-lg,
  input[type="datetime-local"].input-lg,
  input[type="month"].input-lg,
  .input-group-lg input[type="date"],
  .input-group-lg input[type="time"],
  .input-group-lg input[type="datetime-local"],
  .input-group-lg input[type="month"] {
    line-height: 45px;
  }
}
.form-group {
  margin-bottom: 15px;
}
.radio,
.checkbox {
  position: relative;
  display: block;
  margin-top: 10px;
  margin-bottom: 10px;
}
.radio label,
.checkbox label {
  min-height: 18px;
  padding-left: 20px;
  margin-bottom: 0;
  font-weight: normal;
  cursor: pointer;
}
.radio input[type="radio"],
.radio-inline input[type="radio"],
.checkbox input[type="checkbox"],
.checkbox-inline input[type="checkbox"] {
  position: absolute;
  margin-left: -20px;
  margin-top: 4px \9;
}
.radio + .radio,
.checkbox + .checkbox {
  margin-top: -5px;
}
.radio-inline,
.checkbox-inline {
  position: relative;
  display: inline-block;
  padding-left: 20px;
  margin-bottom: 0;
  vertical-align: middle;
  font-weight: normal;
  cursor: pointer;
}
.radio-inline + .radio-inline,
.checkbox-inline + .checkbox-inline {
  margin-top: 0;
  margin-left: 10px;
}
input[type="radio"][disabled],
input[type="checkbox"][disabled],
input[type="radio"].disabled,
input[type="checkbox"].disabled,
fieldset[disabled] input[type="radio"],
fieldset[disabled] input[type="checkbox"] {
  cursor: not-allowed;
}
.radio-inline.disabled,
.checkbox-inline.disabled,
fieldset[disabled] .radio-inline,
fieldset[disabled] .checkbox-inline {
  cursor: not-allowed;
}
.radio.disabled label,
.checkbox.disabled label,
fieldset[disabled] .radio label,
fieldset[disabled] .checkbox label {
  cursor: not-allowed;
}
.form-control-static {
  padding-top: 7px;
  padding-bottom: 7px;
  margin-bottom: 0;
  min-height: 31px;
}
.form-control-static.input-lg,
.form-control-static.input-sm {
  padding-left: 0;
  padding-right: 0;
}
.input-sm {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-sm {
  height: 30px;
  line-height: 30px;
}
textarea.input-sm,
select[multiple].input-sm {
  height: auto;
}
.form-group-sm .form-control {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.form-group-sm select.form-control {
  height: 30px;
  line-height: 30px;
}
.form-group-sm textarea.form-control,
.form-group-sm select[multiple].form-control {
  height: auto;
}
.form-group-sm .form-control-static {
  height: 30px;
  min-height: 30px;
  padding: 6px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.input-lg {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-lg {
  height: 45px;
  line-height: 45px;
}
textarea.input-lg,
select[multiple].input-lg {
  height: auto;
}
.form-group-lg .form-control {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.form-group-lg select.form-control {
  height: 45px;
  line-height: 45px;
}
.form-group-lg textarea.form-control,
.form-group-lg select[multiple].form-control {
  height: auto;
}
.form-group-lg .form-control-static {
  height: 45px;
  min-height: 35px;
  padding: 11px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.has-feedback {
  position: relative;
}
.has-feedback .form-control {
  padding-right: 40px;
}
.form-control-feedback {
  position: absolute;
  top: 0;
  right: 0;
  z-index: 2;
  display: block;
  width: 32px;
  height: 32px;
  line-height: 32px;
  text-align: center;
  pointer-events: none;
}
.input-lg + .form-control-feedback,
.input-group-lg + .form-control-feedback,
.form-group-lg .form-control + .form-control-feedback {
  width: 45px;
  height: 45px;
  line-height: 45px;
}
.input-sm + .form-control-feedback,
.input-group-sm + .form-control-feedback,
.form-group-sm .form-control + .form-control-feedback {
  width: 30px;
  height: 30px;
  line-height: 30px;
}
.has-success .help-block,
.has-success .control-label,
.has-success .radio,
.has-success .checkbox,
.has-success .radio-inline,
.has-success .checkbox-inline,
.has-success.radio label,
.has-success.checkbox label,
.has-success.radio-inline label,
.has-success.checkbox-inline label {
  color: #3c763d;
}
.has-success .form-control {
  border-color: #3c763d;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-success .form-control:focus {
  border-color: #2b542c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
}
.has-success .input-group-addon {
  color: #3c763d;
  border-color: #3c763d;
  background-color: #dff0d8;
}
.has-success .form-control-feedback {
  color: #3c763d;
}
.has-warning .help-block,
.has-warning .control-label,
.has-warning .radio,
.has-warning .checkbox,
.has-warning .radio-inline,
.has-warning .checkbox-inline,
.has-warning.radio label,
.has-warning.checkbox label,
.has-warning.radio-inline label,
.has-warning.checkbox-inline label {
  color: #8a6d3b;
}
.has-warning .form-control {
  border-color: #8a6d3b;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-warning .form-control:focus {
  border-color: #66512c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
}
.has-warning .input-group-addon {
  color: #8a6d3b;
  border-color: #8a6d3b;
  background-color: #fcf8e3;
}
.has-warning .form-control-feedback {
  color: #8a6d3b;
}
.has-error .help-block,
.has-error .control-label,
.has-error .radio,
.has-error .checkbox,
.has-error .radio-inline,
.has-error .checkbox-inline,
.has-error.radio label,
.has-error.checkbox label,
.has-error.radio-inline label,
.has-error.checkbox-inline label {
  color: #a94442;
}
.has-error .form-control {
  border-color: #a94442;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-error .form-control:focus {
  border-color: #843534;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
}
.has-error .input-group-addon {
  color: #a94442;
  border-color: #a94442;
  background-color: #f2dede;
}
.has-error .form-control-feedback {
  color: #a94442;
}
.has-feedback label ~ .form-control-feedback {
  top: 23px;
}
.has-feedback label.sr-only ~ .form-control-feedback {
  top: 0;
}
.help-block {
  display: block;
  margin-top: 5px;
  margin-bottom: 10px;
  color: #404040;
}
@media (min-width: 768px) {
  .form-inline .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .form-inline .form-control-static {
    display: inline-block;
  }
  .form-inline .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .form-inline .input-group .input-group-addon,
  .form-inline .input-group .input-group-btn,
  .form-inline .input-group .form-control {
    width: auto;
  }
  .form-inline .input-group > .form-control {
    width: 100%;
  }
  .form-inline .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio,
  .form-inline .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio label,
  .form-inline .checkbox label {
    padding-left: 0;
  }
  .form-inline .radio input[type="radio"],
  .form-inline .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .form-inline .has-feedback .form-control-feedback {
    top: 0;
  }
}
.form-horizontal .radio,
.form-horizontal .checkbox,
.form-horizontal .radio-inline,
.form-horizontal .checkbox-inline {
  margin-top: 0;
  margin-bottom: 0;
  padding-top: 7px;
}
.form-horizontal .radio,
.form-horizontal .checkbox {
  min-height: 25px;
}
.form-horizontal .form-group {
  margin-left: 0px;
  margin-right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .control-label {
    text-align: right;
    margin-bottom: 0;
    padding-top: 7px;
  }
}
.form-horizontal .has-feedback .form-control-feedback {
  right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .form-group-lg .control-label {
    padding-top: 11px;
    font-size: 17px;
  }
}
@media (min-width: 768px) {
  .form-horizontal .form-group-sm .control-label {
    padding-top: 6px;
    font-size: 12px;
  }
}
.btn {
  display: inline-block;
  margin-bottom: 0;
  font-weight: normal;
  text-align: center;
  vertical-align: middle;
  touch-action: manipulation;
  cursor: pointer;
  background-image: none;
  border: 1px solid transparent;
  white-space: nowrap;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  border-radius: 2px;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}
.btn:focus,
.btn:active:focus,
.btn.active:focus,
.btn.focus,
.btn:active.focus,
.btn.active.focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
.btn:hover,
.btn:focus,
.btn.focus {
  color: #333;
  text-decoration: none;
}
.btn:active,
.btn.active {
  outline: 0;
  background-image: none;
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn.disabled,
.btn[disabled],
fieldset[disabled] .btn {
  cursor: not-allowed;
  opacity: 0.65;
  filter: alpha(opacity=65);
  -webkit-box-shadow: none;
  box-shadow: none;
}
a.btn.disabled,
fieldset[disabled] a.btn {
  pointer-events: none;
}
.btn-default {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.btn-default:focus,
.btn-default.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.btn-default:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active:hover,
.btn-default.active:hover,
.open > .dropdown-toggle.btn-default:hover,
.btn-default:active:focus,
.btn-default.active:focus,
.open > .dropdown-toggle.btn-default:focus,
.btn-default:active.focus,
.btn-default.active.focus,
.open > .dropdown-toggle.btn-default.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  background-image: none;
}
.btn-default.disabled:hover,
.btn-default[disabled]:hover,
fieldset[disabled] .btn-default:hover,
.btn-default.disabled:focus,
.btn-default[disabled]:focus,
fieldset[disabled] .btn-default:focus,
.btn-default.disabled.focus,
.btn-default[disabled].focus,
fieldset[disabled] .btn-default.focus {
  background-color: #fff;
  border-color: #ccc;
}
.btn-default .badge {
  color: #fff;
  background-color: #333;
}
.btn-primary {
  color: #fff;
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary:focus,
.btn-primary.focus {
  color: #fff;
  background-color: #286090;
  border-color: #122b40;
}
.btn-primary:hover {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active:hover,
.btn-primary.active:hover,
.open > .dropdown-toggle.btn-primary:hover,
.btn-primary:active:focus,
.btn-primary.active:focus,
.open > .dropdown-toggle.btn-primary:focus,
.btn-primary:active.focus,
.btn-primary.active.focus,
.open > .dropdown-toggle.btn-primary.focus {
  color: #fff;
  background-color: #204d74;
  border-color: #122b40;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  background-image: none;
}
.btn-primary.disabled:hover,
.btn-primary[disabled]:hover,
fieldset[disabled] .btn-primary:hover,
.btn-primary.disabled:focus,
.btn-primary[disabled]:focus,
fieldset[disabled] .btn-primary:focus,
.btn-primary.disabled.focus,
.btn-primary[disabled].focus,
fieldset[disabled] .btn-primary.focus {
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary .badge {
  color: #337ab7;
  background-color: #fff;
}
.btn-success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success:focus,
.btn-success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.btn-success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active:hover,
.btn-success.active:hover,
.open > .dropdown-toggle.btn-success:hover,
.btn-success:active:focus,
.btn-success.active:focus,
.open > .dropdown-toggle.btn-success:focus,
.btn-success:active.focus,
.btn-success.active.focus,
.open > .dropdown-toggle.btn-success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  background-image: none;
}
.btn-success.disabled:hover,
.btn-success[disabled]:hover,
fieldset[disabled] .btn-success:hover,
.btn-success.disabled:focus,
.btn-success[disabled]:focus,
fieldset[disabled] .btn-success:focus,
.btn-success.disabled.focus,
.btn-success[disabled].focus,
fieldset[disabled] .btn-success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.btn-info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info:focus,
.btn-info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.btn-info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active:hover,
.btn-info.active:hover,
.open > .dropdown-toggle.btn-info:hover,
.btn-info:active:focus,
.btn-info.active:focus,
.open > .dropdown-toggle.btn-info:focus,
.btn-info:active.focus,
.btn-info.active.focus,
.open > .dropdown-toggle.btn-info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  background-image: none;
}
.btn-info.disabled:hover,
.btn-info[disabled]:hover,
fieldset[disabled] .btn-info:hover,
.btn-info.disabled:focus,
.btn-info[disabled]:focus,
fieldset[disabled] .btn-info:focus,
.btn-info.disabled.focus,
.btn-info[disabled].focus,
fieldset[disabled] .btn-info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.btn-warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning:focus,
.btn-warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.btn-warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active:hover,
.btn-warning.active:hover,
.open > .dropdown-toggle.btn-warning:hover,
.btn-warning:active:focus,
.btn-warning.active:focus,
.open > .dropdown-toggle.btn-warning:focus,
.btn-warning:active.focus,
.btn-warning.active.focus,
.open > .dropdown-toggle.btn-warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  background-image: none;
}
.btn-warning.disabled:hover,
.btn-warning[disabled]:hover,
fieldset[disabled] .btn-warning:hover,
.btn-warning.disabled:focus,
.btn-warning[disabled]:focus,
fieldset[disabled] .btn-warning:focus,
.btn-warning.disabled.focus,
.btn-warning[disabled].focus,
fieldset[disabled] .btn-warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.btn-danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger:focus,
.btn-danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.btn-danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active:hover,
.btn-danger.active:hover,
.open > .dropdown-toggle.btn-danger:hover,
.btn-danger:active:focus,
.btn-danger.active:focus,
.open > .dropdown-toggle.btn-danger:focus,
.btn-danger:active.focus,
.btn-danger.active.focus,
.open > .dropdown-toggle.btn-danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  background-image: none;
}
.btn-danger.disabled:hover,
.btn-danger[disabled]:hover,
fieldset[disabled] .btn-danger:hover,
.btn-danger.disabled:focus,
.btn-danger[disabled]:focus,
fieldset[disabled] .btn-danger:focus,
.btn-danger.disabled.focus,
.btn-danger[disabled].focus,
fieldset[disabled] .btn-danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger .badge {
  color: #d9534f;
  background-color: #fff;
}
.btn-link {
  color: #337ab7;
  font-weight: normal;
  border-radius: 0;
}
.btn-link,
.btn-link:active,
.btn-link.active,
.btn-link[disabled],
fieldset[disabled] .btn-link {
  background-color: transparent;
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn-link,
.btn-link:hover,
.btn-link:focus,
.btn-link:active {
  border-color: transparent;
}
.btn-link:hover,
.btn-link:focus {
  color: #23527c;
  text-decoration: underline;
  background-color: transparent;
}
.btn-link[disabled]:hover,
fieldset[disabled] .btn-link:hover,
.btn-link[disabled]:focus,
fieldset[disabled] .btn-link:focus {
  color: #777777;
  text-decoration: none;
}
.btn-lg,
.btn-group-lg > .btn {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.btn-sm,
.btn-group-sm > .btn {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-xs,
.btn-group-xs > .btn {
  padding: 1px 5px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-block {
  display: block;
  width: 100%;
}
.btn-block + .btn-block {
  margin-top: 5px;
}
input[type="submit"].btn-block,
input[type="reset"].btn-block,
input[type="button"].btn-block {
  width: 100%;
}
.fade {
  opacity: 0;
  -webkit-transition: opacity 0.15s linear;
  -o-transition: opacity 0.15s linear;
  transition: opacity 0.15s linear;
}
.fade.in {
  opacity: 1;
}
.collapse {
  display: none;
}
.collapse.in {
  display: block;
}
tr.collapse.in {
  display: table-row;
}
tbody.collapse.in {
  display: table-row-group;
}
.collapsing {
  position: relative;
  height: 0;
  overflow: hidden;
  -webkit-transition-property: height, visibility;
  transition-property: height, visibility;
  -webkit-transition-duration: 0.35s;
  transition-duration: 0.35s;
  -webkit-transition-timing-function: ease;
  transition-timing-function: ease;
}
.caret {
  display: inline-block;
  width: 0;
  height: 0;
  margin-left: 2px;
  vertical-align: middle;
  border-top: 4px dashed;
  border-top: 4px solid \9;
  border-right: 4px solid transparent;
  border-left: 4px solid transparent;
}
.dropup,
.dropdown {
  position: relative;
}
.dropdown-toggle:focus {
  outline: 0;
}
.dropdown-menu {
  position: absolute;
  top: 100%;
  left: 0;
  z-index: 1000;
  display: none;
  float: left;
  min-width: 160px;
  padding: 5px 0;
  margin: 2px 0 0;
  list-style: none;
  font-size: 13px;
  text-align: left;
  background-color: #fff;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.15);
  border-radius: 2px;
  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  background-clip: padding-box;
}
.dropdown-menu.pull-right {
  right: 0;
  left: auto;
}
.dropdown-menu .divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.dropdown-menu > li > a {
  display: block;
  padding: 3px 20px;
  clear: both;
  font-weight: normal;
  line-height: 1.42857143;
  color: #333333;
  white-space: nowrap;
}
.dropdown-menu > li > a:hover,
.dropdown-menu > li > a:focus {
  text-decoration: none;
  color: #262626;
  background-color: #f5f5f5;
}
.dropdown-menu > .active > a,
.dropdown-menu > .active > a:hover,
.dropdown-menu > .active > a:focus {
  color: #fff;
  text-decoration: none;
  outline: 0;
  background-color: #337ab7;
}
.dropdown-menu > .disabled > a,
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  color: #777777;
}
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  text-decoration: none;
  background-color: transparent;
  background-image: none;
  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
  cursor: not-allowed;
}
.open > .dropdown-menu {
  display: block;
}
.open > a {
  outline: 0;
}
.dropdown-menu-right {
  left: auto;
  right: 0;
}
.dropdown-menu-left {
  left: 0;
  right: auto;
}
.dropdown-header {
  display: block;
  padding: 3px 20px;
  font-size: 12px;
  line-height: 1.42857143;
  color: #777777;
  white-space: nowrap;
}
.dropdown-backdrop {
  position: fixed;
  left: 0;
  right: 0;
  bottom: 0;
  top: 0;
  z-index: 990;
}
.pull-right > .dropdown-menu {
  right: 0;
  left: auto;
}
.dropup .caret,
.navbar-fixed-bottom .dropdown .caret {
  border-top: 0;
  border-bottom: 4px dashed;
  border-bottom: 4px solid \9;
  content: "";
}
.dropup .dropdown-menu,
.navbar-fixed-bottom .dropdown .dropdown-menu {
  top: auto;
  bottom: 100%;
  margin-bottom: 2px;
}
@media (min-width: 541px) {
  .navbar-right .dropdown-menu {
    left: auto;
    right: 0;
  }
  .navbar-right .dropdown-menu-left {
    left: 0;
    right: auto;
  }
}
.btn-group,
.btn-group-vertical {
  position: relative;
  display: inline-block;
  vertical-align: middle;
}
.btn-group > .btn,
.btn-group-vertical > .btn {
  position: relative;
  float: left;
}
.btn-group > .btn:hover,
.btn-group-vertical > .btn:hover,
.btn-group > .btn:focus,
.btn-group-vertical > .btn:focus,
.btn-group > .btn:active,
.btn-group-vertical > .btn:active,
.btn-group > .btn.active,
.btn-group-vertical > .btn.active {
  z-index: 2;
}
.btn-group .btn + .btn,
.btn-group .btn + .btn-group,
.btn-group .btn-group + .btn,
.btn-group .btn-group + .btn-group {
  margin-left: -1px;
}
.btn-toolbar {
  margin-left: -5px;
}
.btn-toolbar .btn,
.btn-toolbar .btn-group,
.btn-toolbar .input-group {
  float: left;
}
.btn-toolbar > .btn,
.btn-toolbar > .btn-group,
.btn-toolbar > .input-group {
  margin-left: 5px;
}
.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {
  border-radius: 0;
}
.btn-group > .btn:first-child {
  margin-left: 0;
}
.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn:last-child:not(:first-child),
.btn-group > .dropdown-toggle:not(:first-child) {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group > .btn-group {
  float: left;
}
.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group .dropdown-toggle:active,
.btn-group.open .dropdown-toggle {
  outline: 0;
}
.btn-group > .btn + .dropdown-toggle {
  padding-left: 8px;
  padding-right: 8px;
}
.btn-group > .btn-lg + .dropdown-toggle {
  padding-left: 12px;
  padding-right: 12px;
}
.btn-group.open .dropdown-toggle {
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn-group.open .dropdown-toggle.btn-link {
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn .caret {
  margin-left: 0;
}
.btn-lg .caret {
  border-width: 5px 5px 0;
  border-bottom-width: 0;
}
.dropup .btn-lg .caret {
  border-width: 0 5px 5px;
}
.btn-group-vertical > .btn,
.btn-group-vertical > .btn-group,
.btn-group-vertical > .btn-group > .btn {
  display: block;
  float: none;
  width: 100%;
  max-width: 100%;
}
.btn-group-vertical > .btn-group > .btn {
  float: none;
}
.btn-group-vertical > .btn + .btn,
.btn-group-vertical > .btn + .btn-group,
.btn-group-vertical > .btn-group + .btn,
.btn-group-vertical > .btn-group + .btn-group {
  margin-top: -1px;
  margin-left: 0;
}
.btn-group-vertical > .btn:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.btn-group-vertical > .btn:first-child:not(:last-child) {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn:last-child:not(:first-child) {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.btn-group-justified {
  display: table;
  width: 100%;
  table-layout: fixed;
  border-collapse: separate;
}
.btn-group-justified > .btn,
.btn-group-justified > .btn-group {
  float: none;
  display: table-cell;
  width: 1%;
}
.btn-group-justified > .btn-group .btn {
  width: 100%;
}
.btn-group-justified > .btn-group .dropdown-menu {
  left: auto;
}
[data-toggle="buttons"] > .btn input[type="radio"],
[data-toggle="buttons"] > .btn-group > .btn input[type="radio"],
[data-toggle="buttons"] > .btn input[type="checkbox"],
[data-toggle="buttons"] > .btn-group > .btn input[type="checkbox"] {
  position: absolute;
  clip: rect(0, 0, 0, 0);
  pointer-events: none;
}
.input-group {
  position: relative;
  display: table;
  border-collapse: separate;
}
.input-group[class*="col-"] {
  float: none;
  padding-left: 0;
  padding-right: 0;
}
.input-group .form-control {
  position: relative;
  z-index: 2;
  float: left;
  width: 100%;
  margin-bottom: 0;
}
.input-group .form-control:focus {
  z-index: 3;
}
.input-group-lg > .form-control,
.input-group-lg > .input-group-addon,
.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-group-lg > .form-control,
select.input-group-lg > .input-group-addon,
select.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  line-height: 45px;
}
textarea.input-group-lg > .form-control,
textarea.input-group-lg > .input-group-addon,
textarea.input-group-lg > .input-group-btn > .btn,
select[multiple].input-group-lg > .form-control,
select[multiple].input-group-lg > .input-group-addon,
select[multiple].input-group-lg > .input-group-btn > .btn {
  height: auto;
}
.input-group-sm > .form-control,
.input-group-sm > .input-group-addon,
.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-group-sm > .form-control,
select.input-group-sm > .input-group-addon,
select.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  line-height: 30px;
}
textarea.input-group-sm > .form-control,
textarea.input-group-sm > .input-group-addon,
textarea.input-group-sm > .input-group-btn > .btn,
select[multiple].input-group-sm > .form-control,
select[multiple].input-group-sm > .input-group-addon,
select[multiple].input-group-sm > .input-group-btn > .btn {
  height: auto;
}
.input-group-addon,
.input-group-btn,
.input-group .form-control {
  display: table-cell;
}
.input-group-addon:not(:first-child):not(:last-child),
.input-group-btn:not(:first-child):not(:last-child),
.input-group .form-control:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.input-group-addon,
.input-group-btn {
  width: 1%;
  white-space: nowrap;
  vertical-align: middle;
}
.input-group-addon {
  padding: 6px 12px;
  font-size: 13px;
  font-weight: normal;
  line-height: 1;
  color: #555555;
  text-align: center;
  background-color: #eeeeee;
  border: 1px solid #ccc;
  border-radius: 2px;
}
.input-group-addon.input-sm {
  padding: 5px 10px;
  font-size: 12px;
  border-radius: 1px;
}
.input-group-addon.input-lg {
  padding: 10px 16px;
  font-size: 17px;
  border-radius: 3px;
}
.input-group-addon input[type="radio"],
.input-group-addon input[type="checkbox"] {
  margin-top: 0;
}
.input-group .form-control:first-child,
.input-group-addon:first-child,
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group > .btn,
.input-group-btn:first-child > .dropdown-toggle,
.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),
.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.input-group-addon:first-child {
  border-right: 0;
}
.input-group .form-control:last-child,
.input-group-addon:last-child,
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group > .btn,
.input-group-btn:last-child > .dropdown-toggle,
.input-group-btn:first-child > .btn:not(:first-child),
.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.input-group-addon:last-child {
  border-left: 0;
}
.input-group-btn {
  position: relative;
  font-size: 0;
  white-space: nowrap;
}
.input-group-btn > .btn {
  position: relative;
}
.input-group-btn > .btn + .btn {
  margin-left: -1px;
}
.input-group-btn > .btn:hover,
.input-group-btn > .btn:focus,
.input-group-btn > .btn:active {
  z-index: 2;
}
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group {
  margin-right: -1px;
}
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group {
  z-index: 2;
  margin-left: -1px;
}
.nav {
  margin-bottom: 0;
  padding-left: 0;
  list-style: none;
}
.nav > li {
  position: relative;
  display: block;
}
.nav > li > a {
  position: relative;
  display: block;
  padding: 10px 15px;
}
.nav > li > a:hover,
.nav > li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.nav > li.disabled > a {
  color: #777777;
}
.nav > li.disabled > a:hover,
.nav > li.disabled > a:focus {
  color: #777777;
  text-decoration: none;
  background-color: transparent;
  cursor: not-allowed;
}
.nav .open > a,
.nav .open > a:hover,
.nav .open > a:focus {
  background-color: #eeeeee;
  border-color: #337ab7;
}
.nav .nav-divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.nav > li > a > img {
  max-width: none;
}
.nav-tabs {
  border-bottom: 1px solid #ddd;
}
.nav-tabs > li {
  float: left;
  margin-bottom: -1px;
}
.nav-tabs > li > a {
  margin-right: 2px;
  line-height: 1.42857143;
  border: 1px solid transparent;
  border-radius: 2px 2px 0 0;
}
.nav-tabs > li > a:hover {
  border-color: #eeeeee #eeeeee #ddd;
}
.nav-tabs > li.active > a,
.nav-tabs > li.active > a:hover,
.nav-tabs > li.active > a:focus {
  color: #555555;
  background-color: #fff;
  border: 1px solid #ddd;
  border-bottom-color: transparent;
  cursor: default;
}
.nav-tabs.nav-justified {
  width: 100%;
  border-bottom: 0;
}
.nav-tabs.nav-justified > li {
  float: none;
}
.nav-tabs.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-tabs.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-tabs.nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs.nav-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs.nav-justified > .active > a,
.nav-tabs.nav-justified > .active > a:hover,
.nav-tabs.nav-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs.nav-justified > .active > a,
  .nav-tabs.nav-justified > .active > a:hover,
  .nav-tabs.nav-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.nav-pills > li {
  float: left;
}
.nav-pills > li > a {
  border-radius: 2px;
}
.nav-pills > li + li {
  margin-left: 2px;
}
.nav-pills > li.active > a,
.nav-pills > li.active > a:hover,
.nav-pills > li.active > a:focus {
  color: #fff;
  background-color: #337ab7;
}
.nav-stacked > li {
  float: none;
}
.nav-stacked > li + li {
  margin-top: 2px;
  margin-left: 0;
}
.nav-justified {
  width: 100%;
}
.nav-justified > li {
  float: none;
}
.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs-justified {
  border-bottom: 0;
}
.nav-tabs-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs-justified > .active > a,
.nav-tabs-justified > .active > a:hover,
.nav-tabs-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs-justified > .active > a,
  .nav-tabs-justified > .active > a:hover,
  .nav-tabs-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.tab-content > .tab-pane {
  display: none;
}
.tab-content > .active {
  display: block;
}
.nav-tabs .dropdown-menu {
  margin-top: -1px;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar {
  position: relative;
  min-height: 30px;
  margin-bottom: 18px;
  border: 1px solid transparent;
}
@media (min-width: 541px) {
  .navbar {
    border-radius: 2px;
  }
}
@media (min-width: 541px) {
  .navbar-header {
    float: left;
  }
}
.navbar-collapse {
  overflow-x: visible;
  padding-right: 0px;
  padding-left: 0px;
  border-top: 1px solid transparent;
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);
  -webkit-overflow-scrolling: touch;
}
.navbar-collapse.in {
  overflow-y: auto;
}
@media (min-width: 541px) {
  .navbar-collapse {
    width: auto;
    border-top: 0;
    box-shadow: none;
  }
  .navbar-collapse.collapse {
    display: block !important;
    height: auto !important;
    padding-bottom: 0;
    overflow: visible !important;
  }
  .navbar-collapse.in {
    overflow-y: visible;
  }
  .navbar-fixed-top .navbar-collapse,
  .navbar-static-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    padding-left: 0;
    padding-right: 0;
  }
}
.navbar-fixed-top .navbar-collapse,
.navbar-fixed-bottom .navbar-collapse {
  max-height: 340px;
}
@media (max-device-width: 540px) and (orientation: landscape) {
  .navbar-fixed-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    max-height: 200px;
  }
}
.container > .navbar-header,
.container-fluid > .navbar-header,
.container > .navbar-collapse,
.container-fluid > .navbar-collapse {
  margin-right: 0px;
  margin-left: 0px;
}
@media (min-width: 541px) {
  .container > .navbar-header,
  .container-fluid > .navbar-header,
  .container > .navbar-collapse,
  .container-fluid > .navbar-collapse {
    margin-right: 0;
    margin-left: 0;
  }
}
.navbar-static-top {
  z-index: 1000;
  border-width: 0 0 1px;
}
@media (min-width: 541px) {
  .navbar-static-top {
    border-radius: 0;
  }
}
.navbar-fixed-top,
.navbar-fixed-bottom {
  position: fixed;
  right: 0;
  left: 0;
  z-index: 1030;
}
@media (min-width: 541px) {
  .navbar-fixed-top,
  .navbar-fixed-bottom {
    border-radius: 0;
  }
}
.navbar-fixed-top {
  top: 0;
  border-width: 0 0 1px;
}
.navbar-fixed-bottom {
  bottom: 0;
  margin-bottom: 0;
  border-width: 1px 0 0;
}
.navbar-brand {
  float: left;
  padding: 6px 0px;
  font-size: 17px;
  line-height: 18px;
  height: 30px;
}
.navbar-brand:hover,
.navbar-brand:focus {
  text-decoration: none;
}
.navbar-brand > img {
  display: block;
}
@media (min-width: 541px) {
  .navbar > .container .navbar-brand,
  .navbar > .container-fluid .navbar-brand {
    margin-left: 0px;
  }
}
.navbar-toggle {
  position: relative;
  float: right;
  margin-right: 0px;
  padding: 9px 10px;
  margin-top: -2px;
  margin-bottom: -2px;
  background-color: transparent;
  background-image: none;
  border: 1px solid transparent;
  border-radius: 2px;
}
.navbar-toggle:focus {
  outline: 0;
}
.navbar-toggle .icon-bar {
  display: block;
  width: 22px;
  height: 2px;
  border-radius: 1px;
}
.navbar-toggle .icon-bar + .icon-bar {
  margin-top: 4px;
}
@media (min-width: 541px) {
  .navbar-toggle {
    display: none;
  }
}
.navbar-nav {
  margin: 3px 0px;
}
.navbar-nav > li > a {
  padding-top: 10px;
  padding-bottom: 10px;
  line-height: 18px;
}
@media (max-width: 540px) {
  .navbar-nav .open .dropdown-menu {
    position: static;
    float: none;
    width: auto;
    margin-top: 0;
    background-color: transparent;
    border: 0;
    box-shadow: none;
  }
  .navbar-nav .open .dropdown-menu > li > a,
  .navbar-nav .open .dropdown-menu .dropdown-header {
    padding: 5px 15px 5px 25px;
  }
  .navbar-nav .open .dropdown-menu > li > a {
    line-height: 18px;
  }
  .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-nav .open .dropdown-menu > li > a:focus {
    background-image: none;
  }
}
@media (min-width: 541px) {
  .navbar-nav {
    float: left;
    margin: 0;
  }
  .navbar-nav > li {
    float: left;
  }
  .navbar-nav > li > a {
    padding-top: 6px;
    padding-bottom: 6px;
  }
}
.navbar-form {
  margin-left: 0px;
  margin-right: 0px;
  padding: 10px 0px;
  border-top: 1px solid transparent;
  border-bottom: 1px solid transparent;
  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  margin-top: -1px;
  margin-bottom: -1px;
}
@media (min-width: 768px) {
  .navbar-form .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .navbar-form .form-control-static {
    display: inline-block;
  }
  .navbar-form .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .navbar-form .input-group .input-group-addon,
  .navbar-form .input-group .input-group-btn,
  .navbar-form .input-group .form-control {
    width: auto;
  }
  .navbar-form .input-group > .form-control {
    width: 100%;
  }
  .navbar-form .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio,
  .navbar-form .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio label,
  .navbar-form .checkbox label {
    padding-left: 0;
  }
  .navbar-form .radio input[type="radio"],
  .navbar-form .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .navbar-form .has-feedback .form-control-feedback {
    top: 0;
  }
}
@media (max-width: 540px) {
  .navbar-form .form-group {
    margin-bottom: 5px;
  }
  .navbar-form .form-group:last-child {
    margin-bottom: 0;
  }
}
@media (min-width: 541px) {
  .navbar-form {
    width: auto;
    border: 0;
    margin-left: 0;
    margin-right: 0;
    padding-top: 0;
    padding-bottom: 0;
    -webkit-box-shadow: none;
    box-shadow: none;
  }
}
.navbar-nav > li > .dropdown-menu {
  margin-top: 0;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
  margin-bottom: 0;
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.navbar-btn {
  margin-top: -1px;
  margin-bottom: -1px;
}
.navbar-btn.btn-sm {
  margin-top: 0px;
  margin-bottom: 0px;
}
.navbar-btn.btn-xs {
  margin-top: 4px;
  margin-bottom: 4px;
}
.navbar-text {
  margin-top: 6px;
  margin-bottom: 6px;
}
@media (min-width: 541px) {
  .navbar-text {
    float: left;
    margin-left: 0px;
    margin-right: 0px;
  }
}
@media (min-width: 541px) {
  .navbar-left {
    float: left !important;
    float: left;
  }
  .navbar-right {
    float: right !important;
    float: right;
    margin-right: 0px;
  }
  .navbar-right ~ .navbar-right {
    margin-right: 0;
  }
}
.navbar-default {
  background-color: #f8f8f8;
  border-color: #e7e7e7;
}
.navbar-default .navbar-brand {
  color: #777;
}
.navbar-default .navbar-brand:hover,
.navbar-default .navbar-brand:focus {
  color: #5e5e5e;
  background-color: transparent;
}
.navbar-default .navbar-text {
  color: #777;
}
.navbar-default .navbar-nav > li > a {
  color: #777;
}
.navbar-default .navbar-nav > li > a:hover,
.navbar-default .navbar-nav > li > a:focus {
  color: #333;
  background-color: transparent;
}
.navbar-default .navbar-nav > .active > a,
.navbar-default .navbar-nav > .active > a:hover,
.navbar-default .navbar-nav > .active > a:focus {
  color: #555;
  background-color: #e7e7e7;
}
.navbar-default .navbar-nav > .disabled > a,
.navbar-default .navbar-nav > .disabled > a:hover,
.navbar-default .navbar-nav > .disabled > a:focus {
  color: #ccc;
  background-color: transparent;
}
.navbar-default .navbar-toggle {
  border-color: #ddd;
}
.navbar-default .navbar-toggle:hover,
.navbar-default .navbar-toggle:focus {
  background-color: #ddd;
}
.navbar-default .navbar-toggle .icon-bar {
  background-color: #888;
}
.navbar-default .navbar-collapse,
.navbar-default .navbar-form {
  border-color: #e7e7e7;
}
.navbar-default .navbar-nav > .open > a,
.navbar-default .navbar-nav > .open > a:hover,
.navbar-default .navbar-nav > .open > a:focus {
  background-color: #e7e7e7;
  color: #555;
}
@media (max-width: 540px) {
  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
    color: #777;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #333;
    background-color: transparent;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #555;
    background-color: #e7e7e7;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #ccc;
    background-color: transparent;
  }
}
.navbar-default .navbar-link {
  color: #777;
}
.navbar-default .navbar-link:hover {
  color: #333;
}
.navbar-default .btn-link {
  color: #777;
}
.navbar-default .btn-link:hover,
.navbar-default .btn-link:focus {
  color: #333;
}
.navbar-default .btn-link[disabled]:hover,
fieldset[disabled] .navbar-default .btn-link:hover,
.navbar-default .btn-link[disabled]:focus,
fieldset[disabled] .navbar-default .btn-link:focus {
  color: #ccc;
}
.navbar-inverse {
  background-color: #222;
  border-color: #080808;
}
.navbar-inverse .navbar-brand {
  color: #9d9d9d;
}
.navbar-inverse .navbar-brand:hover,
.navbar-inverse .navbar-brand:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-text {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a:hover,
.navbar-inverse .navbar-nav > li > a:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-nav > .active > a,
.navbar-inverse .navbar-nav > .active > a:hover,
.navbar-inverse .navbar-nav > .active > a:focus {
  color: #fff;
  background-color: #080808;
}
.navbar-inverse .navbar-nav > .disabled > a,
.navbar-inverse .navbar-nav > .disabled > a:hover,
.navbar-inverse .navbar-nav > .disabled > a:focus {
  color: #444;
  background-color: transparent;
}
.navbar-inverse .navbar-toggle {
  border-color: #333;
}
.navbar-inverse .navbar-toggle:hover,
.navbar-inverse .navbar-toggle:focus {
  background-color: #333;
}
.navbar-inverse .navbar-toggle .icon-bar {
  background-color: #fff;
}
.navbar-inverse .navbar-collapse,
.navbar-inverse .navbar-form {
  border-color: #101010;
}
.navbar-inverse .navbar-nav > .open > a,
.navbar-inverse .navbar-nav > .open > a:hover,
.navbar-inverse .navbar-nav > .open > a:focus {
  background-color: #080808;
  color: #fff;
}
@media (max-width: 540px) {
  .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {
    border-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu .divider {
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a {
    color: #9d9d9d;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #fff;
    background-color: transparent;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #fff;
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #444;
    background-color: transparent;
  }
}
.navbar-inverse .navbar-link {
  color: #9d9d9d;
}
.navbar-inverse .navbar-link:hover {
  color: #fff;
}
.navbar-inverse .btn-link {
  color: #9d9d9d;
}
.navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link:focus {
  color: #fff;
}
.navbar-inverse .btn-link[disabled]:hover,
fieldset[disabled] .navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link[disabled]:focus,
fieldset[disabled] .navbar-inverse .btn-link:focus {
  color: #444;
}
.breadcrumb {
  padding: 8px 15px;
  margin-bottom: 18px;
  list-style: none;
  background-color: #f5f5f5;
  border-radius: 2px;
}
.breadcrumb > li {
  display: inline-block;
}
.breadcrumb > li + li:before {
  content: "/\00a0";
  padding: 0 5px;
  color: #5e5e5e;
}
.breadcrumb > .active {
  color: #777777;
}
.pagination {
  display: inline-block;
  padding-left: 0;
  margin: 18px 0;
  border-radius: 2px;
}
.pagination > li {
  display: inline;
}
.pagination > li > a,
.pagination > li > span {
  position: relative;
  float: left;
  padding: 6px 12px;
  line-height: 1.42857143;
  text-decoration: none;
  color: #337ab7;
  background-color: #fff;
  border: 1px solid #ddd;
  margin-left: -1px;
}
.pagination > li:first-child > a,
.pagination > li:first-child > span {
  margin-left: 0;
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.pagination > li:last-child > a,
.pagination > li:last-child > span {
  border-bottom-right-radius: 2px;
  border-top-right-radius: 2px;
}
.pagination > li > a:hover,
.pagination > li > span:hover,
.pagination > li > a:focus,
.pagination > li > span:focus {
  z-index: 2;
  color: #23527c;
  background-color: #eeeeee;
  border-color: #ddd;
}
.pagination > .active > a,
.pagination > .active > span,
.pagination > .active > a:hover,
.pagination > .active > span:hover,
.pagination > .active > a:focus,
.pagination > .active > span:focus {
  z-index: 3;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
  cursor: default;
}
.pagination > .disabled > span,
.pagination > .disabled > span:hover,
.pagination > .disabled > span:focus,
.pagination > .disabled > a,
.pagination > .disabled > a:hover,
.pagination > .disabled > a:focus {
  color: #777777;
  background-color: #fff;
  border-color: #ddd;
  cursor: not-allowed;
}
.pagination-lg > li > a,
.pagination-lg > li > span {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.pagination-lg > li:first-child > a,
.pagination-lg > li:first-child > span {
  border-bottom-left-radius: 3px;
  border-top-left-radius: 3px;
}
.pagination-lg > li:last-child > a,
.pagination-lg > li:last-child > span {
  border-bottom-right-radius: 3px;
  border-top-right-radius: 3px;
}
.pagination-sm > li > a,
.pagination-sm > li > span {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.pagination-sm > li:first-child > a,
.pagination-sm > li:first-child > span {
  border-bottom-left-radius: 1px;
  border-top-left-radius: 1px;
}
.pagination-sm > li:last-child > a,
.pagination-sm > li:last-child > span {
  border-bottom-right-radius: 1px;
  border-top-right-radius: 1px;
}
.pager {
  padding-left: 0;
  margin: 18px 0;
  list-style: none;
  text-align: center;
}
.pager li {
  display: inline;
}
.pager li > a,
.pager li > span {
  display: inline-block;
  padding: 5px 14px;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 15px;
}
.pager li > a:hover,
.pager li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.pager .next > a,
.pager .next > span {
  float: right;
}
.pager .previous > a,
.pager .previous > span {
  float: left;
}
.pager .disabled > a,
.pager .disabled > a:hover,
.pager .disabled > a:focus,
.pager .disabled > span {
  color: #777777;
  background-color: #fff;
  cursor: not-allowed;
}
.label {
  display: inline;
  padding: .2em .6em .3em;
  font-size: 75%;
  font-weight: bold;
  line-height: 1;
  color: #fff;
  text-align: center;
  white-space: nowrap;
  vertical-align: baseline;
  border-radius: .25em;
}
a.label:hover,
a.label:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.label:empty {
  display: none;
}
.btn .label {
  position: relative;
  top: -1px;
}
.label-default {
  background-color: #777777;
}
.label-default[href]:hover,
.label-default[href]:focus {
  background-color: #5e5e5e;
}
.label-primary {
  background-color: #337ab7;
}
.label-primary[href]:hover,
.label-primary[href]:focus {
  background-color: #286090;
}
.label-success {
  background-color: #5cb85c;
}
.label-success[href]:hover,
.label-success[href]:focus {
  background-color: #449d44;
}
.label-info {
  background-color: #5bc0de;
}
.label-info[href]:hover,
.label-info[href]:focus {
  background-color: #31b0d5;
}
.label-warning {
  background-color: #f0ad4e;
}
.label-warning[href]:hover,
.label-warning[href]:focus {
  background-color: #ec971f;
}
.label-danger {
  background-color: #d9534f;
}
.label-danger[href]:hover,
.label-danger[href]:focus {
  background-color: #c9302c;
}
.badge {
  display: inline-block;
  min-width: 10px;
  padding: 3px 7px;
  font-size: 12px;
  font-weight: bold;
  color: #fff;
  line-height: 1;
  vertical-align: middle;
  white-space: nowrap;
  text-align: center;
  background-color: #777777;
  border-radius: 10px;
}
.badge:empty {
  display: none;
}
.btn .badge {
  position: relative;
  top: -1px;
}
.btn-xs .badge,
.btn-group-xs > .btn .badge {
  top: 0;
  padding: 1px 5px;
}
a.badge:hover,
a.badge:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.list-group-item.active > .badge,
.nav-pills > .active > a > .badge {
  color: #337ab7;
  background-color: #fff;
}
.list-group-item > .badge {
  float: right;
}
.list-group-item > .badge + .badge {
  margin-right: 5px;
}
.nav-pills > li > a > .badge {
  margin-left: 3px;
}
.jumbotron {
  padding-top: 30px;
  padding-bottom: 30px;
  margin-bottom: 30px;
  color: inherit;
  background-color: #eeeeee;
}
.jumbotron h1,
.jumbotron .h1 {
  color: inherit;
}
.jumbotron p {
  margin-bottom: 15px;
  font-size: 20px;
  font-weight: 200;
}
.jumbotron > hr {
  border-top-color: #d5d5d5;
}
.container .jumbotron,
.container-fluid .jumbotron {
  border-radius: 3px;
  padding-left: 0px;
  padding-right: 0px;
}
.jumbotron .container {
  max-width: 100%;
}
@media screen and (min-width: 768px) {
  .jumbotron {
    padding-top: 48px;
    padding-bottom: 48px;
  }
  .container .jumbotron,
  .container-fluid .jumbotron {
    padding-left: 60px;
    padding-right: 60px;
  }
  .jumbotron h1,
  .jumbotron .h1 {
    font-size: 59px;
  }
}
.thumbnail {
  display: block;
  padding: 4px;
  margin-bottom: 18px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: border 0.2s ease-in-out;
  -o-transition: border 0.2s ease-in-out;
  transition: border 0.2s ease-in-out;
}
.thumbnail > img,
.thumbnail a > img {
  margin-left: auto;
  margin-right: auto;
}
a.thumbnail:hover,
a.thumbnail:focus,
a.thumbnail.active {
  border-color: #337ab7;
}
.thumbnail .caption {
  padding: 9px;
  color: #000;
}
.alert {
  padding: 15px;
  margin-bottom: 18px;
  border: 1px solid transparent;
  border-radius: 2px;
}
.alert h4 {
  margin-top: 0;
  color: inherit;
}
.alert .alert-link {
  font-weight: bold;
}
.alert > p,
.alert > ul {
  margin-bottom: 0;
}
.alert > p + p {
  margin-top: 5px;
}
.alert-dismissable,
.alert-dismissible {
  padding-right: 35px;
}
.alert-dismissable .close,
.alert-dismissible .close {
  position: relative;
  top: -2px;
  right: -21px;
  color: inherit;
}
.alert-success {
  background-color: #dff0d8;
  border-color: #d6e9c6;
  color: #3c763d;
}
.alert-success hr {
  border-top-color: #c9e2b3;
}
.alert-success .alert-link {
  color: #2b542c;
}
.alert-info {
  background-color: #d9edf7;
  border-color: #bce8f1;
  color: #31708f;
}
.alert-info hr {
  border-top-color: #a6e1ec;
}
.alert-info .alert-link {
  color: #245269;
}
.alert-warning {
  background-color: #fcf8e3;
  border-color: #faebcc;
  color: #8a6d3b;
}
.alert-warning hr {
  border-top-color: #f7e1b5;
}
.alert-warning .alert-link {
  color: #66512c;
}
.alert-danger {
  background-color: #f2dede;
  border-color: #ebccd1;
  color: #a94442;
}
.alert-danger hr {
  border-top-color: #e4b9c0;
}
.alert-danger .alert-link {
  color: #843534;
}
@-webkit-keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
@keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
.progress {
  overflow: hidden;
  height: 18px;
  margin-bottom: 18px;
  background-color: #f5f5f5;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
  box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
}
.progress-bar {
  float: left;
  width: 0%;
  height: 100%;
  font-size: 12px;
  line-height: 18px;
  color: #fff;
  text-align: center;
  background-color: #337ab7;
  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  -webkit-transition: width 0.6s ease;
  -o-transition: width 0.6s ease;
  transition: width 0.6s ease;
}
.progress-striped .progress-bar,
.progress-bar-striped {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-size: 40px 40px;
}
.progress.active .progress-bar,
.progress-bar.active {
  -webkit-animation: progress-bar-stripes 2s linear infinite;
  -o-animation: progress-bar-stripes 2s linear infinite;
  animation: progress-bar-stripes 2s linear infinite;
}
.progress-bar-success {
  background-color: #5cb85c;
}
.progress-striped .progress-bar-success {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-info {
  background-color: #5bc0de;
}
.progress-striped .progress-bar-info {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-warning {
  background-color: #f0ad4e;
}
.progress-striped .progress-bar-warning {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-danger {
  background-color: #d9534f;
}
.progress-striped .progress-bar-danger {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.media {
  margin-top: 15px;
}
.media:first-child {
  margin-top: 0;
}
.media,
.media-body {
  zoom: 1;
  overflow: hidden;
}
.media-body {
  width: 10000px;
}
.media-object {
  display: block;
}
.media-object.img-thumbnail {
  max-width: none;
}
.media-right,
.media > .pull-right {
  padding-left: 10px;
}
.media-left,
.media > .pull-left {
  padding-right: 10px;
}
.media-left,
.media-right,
.media-body {
  display: table-cell;
  vertical-align: top;
}
.media-middle {
  vertical-align: middle;
}
.media-bottom {
  vertical-align: bottom;
}
.media-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.media-list {
  padding-left: 0;
  list-style: none;
}
.list-group {
  margin-bottom: 20px;
  padding-left: 0;
}
.list-group-item {
  position: relative;
  display: block;
  padding: 10px 15px;
  margin-bottom: -1px;
  background-color: #fff;
  border: 1px solid #ddd;
}
.list-group-item:first-child {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
}
.list-group-item:last-child {
  margin-bottom: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
a.list-group-item,
button.list-group-item {
  color: #555;
}
a.list-group-item .list-group-item-heading,
button.list-group-item .list-group-item-heading {
  color: #333;
}
a.list-group-item:hover,
button.list-group-item:hover,
a.list-group-item:focus,
button.list-group-item:focus {
  text-decoration: none;
  color: #555;
  background-color: #f5f5f5;
}
button.list-group-item {
  width: 100%;
  text-align: left;
}
.list-group-item.disabled,
.list-group-item.disabled:hover,
.list-group-item.disabled:focus {
  background-color: #eeeeee;
  color: #777777;
  cursor: not-allowed;
}
.list-group-item.disabled .list-group-item-heading,
.list-group-item.disabled:hover .list-group-item-heading,
.list-group-item.disabled:focus .list-group-item-heading {
  color: inherit;
}
.list-group-item.disabled .list-group-item-text,
.list-group-item.disabled:hover .list-group-item-text,
.list-group-item.disabled:focus .list-group-item-text {
  color: #777777;
}
.list-group-item.active,
.list-group-item.active:hover,
.list-group-item.active:focus {
  z-index: 2;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.list-group-item.active .list-group-item-heading,
.list-group-item.active:hover .list-group-item-heading,
.list-group-item.active:focus .list-group-item-heading,
.list-group-item.active .list-group-item-heading > small,
.list-group-item.active:hover .list-group-item-heading > small,
.list-group-item.active:focus .list-group-item-heading > small,
.list-group-item.active .list-group-item-heading > .small,
.list-group-item.active:hover .list-group-item-heading > .small,
.list-group-item.active:focus .list-group-item-heading > .small {
  color: inherit;
}
.list-group-item.active .list-group-item-text,
.list-group-item.active:hover .list-group-item-text,
.list-group-item.active:focus .list-group-item-text {
  color: #c7ddef;
}
.list-group-item-success {
  color: #3c763d;
  background-color: #dff0d8;
}
a.list-group-item-success,
button.list-group-item-success {
  color: #3c763d;
}
a.list-group-item-success .list-group-item-heading,
button.list-group-item-success .list-group-item-heading {
  color: inherit;
}
a.list-group-item-success:hover,
button.list-group-item-success:hover,
a.list-group-item-success:focus,
button.list-group-item-success:focus {
  color: #3c763d;
  background-color: #d0e9c6;
}
a.list-group-item-success.active,
button.list-group-item-success.active,
a.list-group-item-success.active:hover,
button.list-group-item-success.active:hover,
a.list-group-item-success.active:focus,
button.list-group-item-success.active:focus {
  color: #fff;
  background-color: #3c763d;
  border-color: #3c763d;
}
.list-group-item-info {
  color: #31708f;
  background-color: #d9edf7;
}
a.list-group-item-info,
button.list-group-item-info {
  color: #31708f;
}
a.list-group-item-info .list-group-item-heading,
button.list-group-item-info .list-group-item-heading {
  color: inherit;
}
a.list-group-item-info:hover,
button.list-group-item-info:hover,
a.list-group-item-info:focus,
button.list-group-item-info:focus {
  color: #31708f;
  background-color: #c4e3f3;
}
a.list-group-item-info.active,
button.list-group-item-info.active,
a.list-group-item-info.active:hover,
button.list-group-item-info.active:hover,
a.list-group-item-info.active:focus,
button.list-group-item-info.active:focus {
  color: #fff;
  background-color: #31708f;
  border-color: #31708f;
}
.list-group-item-warning {
  color: #8a6d3b;
  background-color: #fcf8e3;
}
a.list-group-item-warning,
button.list-group-item-warning {
  color: #8a6d3b;
}
a.list-group-item-warning .list-group-item-heading,
button.list-group-item-warning .list-group-item-heading {
  color: inherit;
}
a.list-group-item-warning:hover,
button.list-group-item-warning:hover,
a.list-group-item-warning:focus,
button.list-group-item-warning:focus {
  color: #8a6d3b;
  background-color: #faf2cc;
}
a.list-group-item-warning.active,
button.list-group-item-warning.active,
a.list-group-item-warning.active:hover,
button.list-group-item-warning.active:hover,
a.list-group-item-warning.active:focus,
button.list-group-item-warning.active:focus {
  color: #fff;
  background-color: #8a6d3b;
  border-color: #8a6d3b;
}
.list-group-item-danger {
  color: #a94442;
  background-color: #f2dede;
}
a.list-group-item-danger,
button.list-group-item-danger {
  color: #a94442;
}
a.list-group-item-danger .list-group-item-heading,
button.list-group-item-danger .list-group-item-heading {
  color: inherit;
}
a.list-group-item-danger:hover,
button.list-group-item-danger:hover,
a.list-group-item-danger:focus,
button.list-group-item-danger:focus {
  color: #a94442;
  background-color: #ebcccc;
}
a.list-group-item-danger.active,
button.list-group-item-danger.active,
a.list-group-item-danger.active:hover,
button.list-group-item-danger.active:hover,
a.list-group-item-danger.active:focus,
button.list-group-item-danger.active:focus {
  color: #fff;
  background-color: #a94442;
  border-color: #a94442;
}
.list-group-item-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.list-group-item-text {
  margin-bottom: 0;
  line-height: 1.3;
}
.panel {
  margin-bottom: 18px;
  background-color: #fff;
  border: 1px solid transparent;
  border-radius: 2px;
  -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
}
.panel-body {
  padding: 15px;
}
.panel-heading {
  padding: 10px 15px;
  border-bottom: 1px solid transparent;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel-heading > .dropdown .dropdown-toggle {
  color: inherit;
}
.panel-title {
  margin-top: 0;
  margin-bottom: 0;
  font-size: 15px;
  color: inherit;
}
.panel-title > a,
.panel-title > small,
.panel-title > .small,
.panel-title > small > a,
.panel-title > .small > a {
  color: inherit;
}
.panel-footer {
  padding: 10px 15px;
  background-color: #f5f5f5;
  border-top: 1px solid #ddd;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .list-group,
.panel > .panel-collapse > .list-group {
  margin-bottom: 0;
}
.panel > .list-group .list-group-item,
.panel > .panel-collapse > .list-group .list-group-item {
  border-width: 1px 0;
  border-radius: 0;
}
.panel > .list-group:first-child .list-group-item:first-child,
.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {
  border-top: 0;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .list-group:last-child .list-group-item:last-child,
.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {
  border-bottom: 0;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.panel-heading + .list-group .list-group-item:first-child {
  border-top-width: 0;
}
.list-group + .panel-footer {
  border-top-width: 0;
}
.panel > .table,
.panel > .table-responsive > .table,
.panel > .panel-collapse > .table {
  margin-bottom: 0;
}
.panel > .table caption,
.panel > .table-responsive > .table caption,
.panel > .panel-collapse > .table caption {
  padding-left: 15px;
  padding-right: 15px;
}
.panel > .table:first-child,
.panel > .table-responsive:first-child > .table:first-child {
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {
  border-top-left-radius: 1px;
  border-top-right-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {
  border-top-right-radius: 1px;
}
.panel > .table:last-child,
.panel > .table-responsive:last-child > .table:last-child {
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {
  border-bottom-left-radius: 1px;
  border-bottom-right-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {
  border-bottom-right-radius: 1px;
}
.panel > .panel-body + .table,
.panel > .panel-body + .table-responsive,
.panel > .table + .panel-body,
.panel > .table-responsive + .panel-body {
  border-top: 1px solid #ddd;
}
.panel > .table > tbody:first-child > tr:first-child th,
.panel > .table > tbody:first-child > tr:first-child td {
  border-top: 0;
}
.panel > .table-bordered,
.panel > .table-responsive > .table-bordered {
  border: 0;
}
.panel > .table-bordered > thead > tr > th:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,
.panel > .table-bordered > tbody > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,
.panel > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-bordered > thead > tr > td:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,
.panel > .table-bordered > tbody > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,
.panel > .table-bordered > tfoot > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {
  border-left: 0;
}
.panel > .table-bordered > thead > tr > th:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,
.panel > .table-bordered > tbody > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,
.panel > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-bordered > thead > tr > td:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,
.panel > .table-bordered > tbody > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,
.panel > .table-bordered > tfoot > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {
  border-right: 0;
}
.panel > .table-bordered > thead > tr:first-child > td,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,
.panel > .table-bordered > tbody > tr:first-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,
.panel > .table-bordered > thead > tr:first-child > th,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,
.panel > .table-bordered > tbody > tr:first-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {
  border-bottom: 0;
}
.panel > .table-bordered > tbody > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,
.panel > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-bordered > tbody > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,
.panel > .table-bordered > tfoot > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {
  border-bottom: 0;
}
.panel > .table-responsive {
  border: 0;
  margin-bottom: 0;
}
.panel-group {
  margin-bottom: 18px;
}
.panel-group .panel {
  margin-bottom: 0;
  border-radius: 2px;
}
.panel-group .panel + .panel {
  margin-top: 5px;
}
.panel-group .panel-heading {
  border-bottom: 0;
}
.panel-group .panel-heading + .panel-collapse > .panel-body,
.panel-group .panel-heading + .panel-collapse > .list-group {
  border-top: 1px solid #ddd;
}
.panel-group .panel-footer {
  border-top: 0;
}
.panel-group .panel-footer + .panel-collapse .panel-body {
  border-bottom: 1px solid #ddd;
}
.panel-default {
  border-color: #ddd;
}
.panel-default > .panel-heading {
  color: #333333;
  background-color: #f5f5f5;
  border-color: #ddd;
}
.panel-default > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ddd;
}
.panel-default > .panel-heading .badge {
  color: #f5f5f5;
  background-color: #333333;
}
.panel-default > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ddd;
}
.panel-primary {
  border-color: #337ab7;
}
.panel-primary > .panel-heading {
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.panel-primary > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #337ab7;
}
.panel-primary > .panel-heading .badge {
  color: #337ab7;
  background-color: #fff;
}
.panel-primary > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #337ab7;
}
.panel-success {
  border-color: #d6e9c6;
}
.panel-success > .panel-heading {
  color: #3c763d;
  background-color: #dff0d8;
  border-color: #d6e9c6;
}
.panel-success > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #d6e9c6;
}
.panel-success > .panel-heading .badge {
  color: #dff0d8;
  background-color: #3c763d;
}
.panel-success > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #d6e9c6;
}
.panel-info {
  border-color: #bce8f1;
}
.panel-info > .panel-heading {
  color: #31708f;
  background-color: #d9edf7;
  border-color: #bce8f1;
}
.panel-info > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #bce8f1;
}
.panel-info > .panel-heading .badge {
  color: #d9edf7;
  background-color: #31708f;
}
.panel-info > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #bce8f1;
}
.panel-warning {
  border-color: #faebcc;
}
.panel-warning > .panel-heading {
  color: #8a6d3b;
  background-color: #fcf8e3;
  border-color: #faebcc;
}
.panel-warning > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #faebcc;
}
.panel-warning > .panel-heading .badge {
  color: #fcf8e3;
  background-color: #8a6d3b;
}
.panel-warning > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #faebcc;
}
.panel-danger {
  border-color: #ebccd1;
}
.panel-danger > .panel-heading {
  color: #a94442;
  background-color: #f2dede;
  border-color: #ebccd1;
}
.panel-danger > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ebccd1;
}
.panel-danger > .panel-heading .badge {
  color: #f2dede;
  background-color: #a94442;
}
.panel-danger > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ebccd1;
}
.embed-responsive {
  position: relative;
  display: block;
  height: 0;
  padding: 0;
  overflow: hidden;
}
.embed-responsive .embed-responsive-item,
.embed-responsive iframe,
.embed-responsive embed,
.embed-responsive object,
.embed-responsive video {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  height: 100%;
  width: 100%;
  border: 0;
}
.embed-responsive-16by9 {
  padding-bottom: 56.25%;
}
.embed-responsive-4by3 {
  padding-bottom: 75%;
}
.well {
  min-height: 20px;
  padding: 19px;
  margin-bottom: 20px;
  background-color: #f5f5f5;
  border: 1px solid #e3e3e3;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
}
.well blockquote {
  border-color: #ddd;
  border-color: rgba(0, 0, 0, 0.15);
}
.well-lg {
  padding: 24px;
  border-radius: 3px;
}
.well-sm {
  padding: 9px;
  border-radius: 1px;
}
.close {
  float: right;
  font-size: 19.5px;
  font-weight: bold;
  line-height: 1;
  color: #000;
  text-shadow: 0 1px 0 #fff;
  opacity: 0.2;
  filter: alpha(opacity=20);
}
.close:hover,
.close:focus {
  color: #000;
  text-decoration: none;
  cursor: pointer;
  opacity: 0.5;
  filter: alpha(opacity=50);
}
button.close {
  padding: 0;
  cursor: pointer;
  background: transparent;
  border: 0;
  -webkit-appearance: none;
}
.modal-open {
  overflow: hidden;
}
.modal {
  display: none;
  overflow: hidden;
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1050;
  -webkit-overflow-scrolling: touch;
  outline: 0;
}
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, -25%);
  -ms-transform: translate(0, -25%);
  -o-transform: translate(0, -25%);
  transform: translate(0, -25%);
  -webkit-transition: -webkit-transform 0.3s ease-out;
  -moz-transition: -moz-transform 0.3s ease-out;
  -o-transition: -o-transform 0.3s ease-out;
  transition: transform 0.3s ease-out;
}
.modal.in .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
.modal-open .modal {
  overflow-x: hidden;
  overflow-y: auto;
}
.modal-dialog {
  position: relative;
  width: auto;
  margin: 10px;
}
.modal-content {
  position: relative;
  background-color: #fff;
  border: 1px solid #999;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  background-clip: padding-box;
  outline: 0;
}
.modal-backdrop {
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1040;
  background-color: #000;
}
.modal-backdrop.fade {
  opacity: 0;
  filter: alpha(opacity=0);
}
.modal-backdrop.in {
  opacity: 0.5;
  filter: alpha(opacity=50);
}
.modal-header {
  padding: 15px;
  border-bottom: 1px solid #e5e5e5;
}
.modal-header .close {
  margin-top: -2px;
}
.modal-title {
  margin: 0;
  line-height: 1.42857143;
}
.modal-body {
  position: relative;
  padding: 15px;
}
.modal-footer {
  padding: 15px;
  text-align: right;
  border-top: 1px solid #e5e5e5;
}
.modal-footer .btn + .btn {
  margin-left: 5px;
  margin-bottom: 0;
}
.modal-footer .btn-group .btn + .btn {
  margin-left: -1px;
}
.modal-footer .btn-block + .btn-block {
  margin-left: 0;
}
.modal-scrollbar-measure {
  position: absolute;
  top: -9999px;
  width: 50px;
  height: 50px;
  overflow: scroll;
}
@media (min-width: 768px) {
  .modal-dialog {
    width: 600px;
    margin: 30px auto;
  }
  .modal-content {
    -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
  }
  .modal-sm {
    width: 300px;
  }
}
@media (min-width: 992px) {
  .modal-lg {
    width: 900px;
  }
}
.tooltip {
  position: absolute;
  z-index: 1070;
  display: block;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 12px;
  opacity: 0;
  filter: alpha(opacity=0);
}
.tooltip.in {
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.tooltip.top {
  margin-top: -3px;
  padding: 5px 0;
}
.tooltip.right {
  margin-left: 3px;
  padding: 0 5px;
}
.tooltip.bottom {
  margin-top: 3px;
  padding: 5px 0;
}
.tooltip.left {
  margin-left: -3px;
  padding: 0 5px;
}
.tooltip-inner {
  max-width: 200px;
  padding: 3px 8px;
  color: #fff;
  text-align: center;
  background-color: #000;
  border-radius: 2px;
}
.tooltip-arrow {
  position: absolute;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.tooltip.top .tooltip-arrow {
  bottom: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-left .tooltip-arrow {
  bottom: 0;
  right: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-right .tooltip-arrow {
  bottom: 0;
  left: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.right .tooltip-arrow {
  top: 50%;
  left: 0;
  margin-top: -5px;
  border-width: 5px 5px 5px 0;
  border-right-color: #000;
}
.tooltip.left .tooltip-arrow {
  top: 50%;
  right: 0;
  margin-top: -5px;
  border-width: 5px 0 5px 5px;
  border-left-color: #000;
}
.tooltip.bottom .tooltip-arrow {
  top: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-left .tooltip-arrow {
  top: 0;
  right: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-right .tooltip-arrow {
  top: 0;
  left: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.popover {
  position: absolute;
  top: 0;
  left: 0;
  z-index: 1060;
  display: none;
  max-width: 276px;
  padding: 1px;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 13px;
  background-color: #fff;
  background-clip: padding-box;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
  box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
}
.popover.top {
  margin-top: -10px;
}
.popover.right {
  margin-left: 10px;
}
.popover.bottom {
  margin-top: 10px;
}
.popover.left {
  margin-left: -10px;
}
.popover-title {
  margin: 0;
  padding: 8px 14px;
  font-size: 13px;
  background-color: #f7f7f7;
  border-bottom: 1px solid #ebebeb;
  border-radius: 2px 2px 0 0;
}
.popover-content {
  padding: 9px 14px;
}
.popover > .arrow,
.popover > .arrow:after {
  position: absolute;
  display: block;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.popover > .arrow {
  border-width: 11px;
}
.popover > .arrow:after {
  border-width: 10px;
  content: "";
}
.popover.top > .arrow {
  left: 50%;
  margin-left: -11px;
  border-bottom-width: 0;
  border-top-color: #999999;
  border-top-color: rgba(0, 0, 0, 0.25);
  bottom: -11px;
}
.popover.top > .arrow:after {
  content: " ";
  bottom: 1px;
  margin-left: -10px;
  border-bottom-width: 0;
  border-top-color: #fff;
}
.popover.right > .arrow {
  top: 50%;
  left: -11px;
  margin-top: -11px;
  border-left-width: 0;
  border-right-color: #999999;
  border-right-color: rgba(0, 0, 0, 0.25);
}
.popover.right > .arrow:after {
  content: " ";
  left: 1px;
  bottom: -10px;
  border-left-width: 0;
  border-right-color: #fff;
}
.popover.bottom > .arrow {
  left: 50%;
  margin-left: -11px;
  border-top-width: 0;
  border-bottom-color: #999999;
  border-bottom-color: rgba(0, 0, 0, 0.25);
  top: -11px;
}
.popover.bottom > .arrow:after {
  content: " ";
  top: 1px;
  margin-left: -10px;
  border-top-width: 0;
  border-bottom-color: #fff;
}
.popover.left > .arrow {
  top: 50%;
  right: -11px;
  margin-top: -11px;
  border-right-width: 0;
  border-left-color: #999999;
  border-left-color: rgba(0, 0, 0, 0.25);
}
.popover.left > .arrow:after {
  content: " ";
  right: 1px;
  border-right-width: 0;
  border-left-color: #fff;
  bottom: -10px;
}
.carousel {
  position: relative;
}
.carousel-inner {
  position: relative;
  overflow: hidden;
  width: 100%;
}
.carousel-inner > .item {
  display: none;
  position: relative;
  -webkit-transition: 0.6s ease-in-out left;
  -o-transition: 0.6s ease-in-out left;
  transition: 0.6s ease-in-out left;
}
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  line-height: 1;
}
@media all and (transform-3d), (-webkit-transform-3d) {
  .carousel-inner > .item {
    -webkit-transition: -webkit-transform 0.6s ease-in-out;
    -moz-transition: -moz-transform 0.6s ease-in-out;
    -o-transition: -o-transform 0.6s ease-in-out;
    transition: transform 0.6s ease-in-out;
    -webkit-backface-visibility: hidden;
    -moz-backface-visibility: hidden;
    backface-visibility: hidden;
    -webkit-perspective: 1000px;
    -moz-perspective: 1000px;
    perspective: 1000px;
  }
  .carousel-inner > .item.next,
  .carousel-inner > .item.active.right {
    -webkit-transform: translate3d(100%, 0, 0);
    transform: translate3d(100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.prev,
  .carousel-inner > .item.active.left {
    -webkit-transform: translate3d(-100%, 0, 0);
    transform: translate3d(-100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.next.left,
  .carousel-inner > .item.prev.right,
  .carousel-inner > .item.active {
    -webkit-transform: translate3d(0, 0, 0);
    transform: translate3d(0, 0, 0);
    left: 0;
  }
}
.carousel-inner > .active,
.carousel-inner > .next,
.carousel-inner > .prev {
  display: block;
}
.carousel-inner > .active {
  left: 0;
}
.carousel-inner > .next,
.carousel-inner > .prev {
  position: absolute;
  top: 0;
  width: 100%;
}
.carousel-inner > .next {
  left: 100%;
}
.carousel-inner > .prev {
  left: -100%;
}
.carousel-inner > .next.left,
.carousel-inner > .prev.right {
  left: 0;
}
.carousel-inner > .active.left {
  left: -100%;
}
.carousel-inner > .active.right {
  left: 100%;
}
.carousel-control {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  width: 15%;
  opacity: 0.5;
  filter: alpha(opacity=50);
  font-size: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
  background-color: rgba(0, 0, 0, 0);
}
.carousel-control.left {
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);
}
.carousel-control.right {
  left: auto;
  right: 0;
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);
}
.carousel-control:hover,
.carousel-control:focus {
  outline: 0;
  color: #fff;
  text-decoration: none;
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.carousel-control .icon-prev,
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-left,
.carousel-control .glyphicon-chevron-right {
  position: absolute;
  top: 50%;
  margin-top: -10px;
  z-index: 5;
  display: inline-block;
}
.carousel-control .icon-prev,
.carousel-control .glyphicon-chevron-left {
  left: 50%;
  margin-left: -10px;
}
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-right {
  right: 50%;
  margin-right: -10px;
}
.carousel-control .icon-prev,
.carousel-control .icon-next {
  width: 20px;
  height: 20px;
  line-height: 1;
  font-family: serif;
}
.carousel-control .icon-prev:before {
  content: '\2039';
}
.carousel-control .icon-next:before {
  content: '\203a';
}
.carousel-indicators {
  position: absolute;
  bottom: 10px;
  left: 50%;
  z-index: 15;
  width: 60%;
  margin-left: -30%;
  padding-left: 0;
  list-style: none;
  text-align: center;
}
.carousel-indicators li {
  display: inline-block;
  width: 10px;
  height: 10px;
  margin: 1px;
  text-indent: -999px;
  border: 1px solid #fff;
  border-radius: 10px;
  cursor: pointer;
  background-color: #000 \9;
  background-color: rgba(0, 0, 0, 0);
}
.carousel-indicators .active {
  margin: 0;
  width: 12px;
  height: 12px;
  background-color: #fff;
}
.carousel-caption {
  position: absolute;
  left: 15%;
  right: 15%;
  bottom: 20px;
  z-index: 10;
  padding-top: 20px;
  padding-bottom: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
}
.carousel-caption .btn {
  text-shadow: none;
}
@media screen and (min-width: 768px) {
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-prev,
  .carousel-control .icon-next {
    width: 30px;
    height: 30px;
    margin-top: -10px;
    font-size: 30px;
  }
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .icon-prev {
    margin-left: -10px;
  }
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-next {
    margin-right: -10px;
  }
  .carousel-caption {
    left: 20%;
    right: 20%;
    padding-bottom: 30px;
  }
  .carousel-indicators {
    bottom: 20px;
  }
}
.clearfix:before,
.clearfix:after,
.dl-horizontal dd:before,
.dl-horizontal dd:after,
.container:before,
.container:after,
.container-fluid:before,
.container-fluid:after,
.row:before,
.row:after,
.form-horizontal .form-group:before,
.form-horizontal .form-group:after,
.btn-toolbar:before,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:before,
.btn-group-vertical > .btn-group:after,
.nav:before,
.nav:after,
.navbar:before,
.navbar:after,
.navbar-header:before,
.navbar-header:after,
.navbar-collapse:before,
.navbar-collapse:after,
.pager:before,
.pager:after,
.panel-body:before,
.panel-body:after,
.modal-header:before,
.modal-header:after,
.modal-footer:before,
.modal-footer:after,
.item_buttons:before,
.item_buttons:after {
  content: " ";
  display: table;
}
.clearfix:after,
.dl-horizontal dd:after,
.container:after,
.container-fluid:after,
.row:after,
.form-horizontal .form-group:after,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:after,
.nav:after,
.navbar:after,
.navbar-header:after,
.navbar-collapse:after,
.pager:after,
.panel-body:after,
.modal-header:after,
.modal-footer:after,
.item_buttons:after {
  clear: both;
}
.center-block {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.pull-right {
  float: right !important;
}
.pull-left {
  float: left !important;
}
.hide {
  display: none !important;
}
.show {
  display: block !important;
}
.invisible {
  visibility: hidden;
}
.text-hide {
  font: 0/0 a;
  color: transparent;
  text-shadow: none;
  background-color: transparent;
  border: 0;
}
.hidden {
  display: none !important;
}
.affix {
  position: fixed;
}
@-ms-viewport {
  width: device-width;
}
.visible-xs,
.visible-sm,
.visible-md,
.visible-lg {
  display: none !important;
}
.visible-xs-block,
.visible-xs-inline,
.visible-xs-inline-block,
.visible-sm-block,
.visible-sm-inline,
.visible-sm-inline-block,
.visible-md-block,
.visible-md-inline,
.visible-md-inline-block,
.visible-lg-block,
.visible-lg-inline,
.visible-lg-inline-block {
  display: none !important;
}
@media (max-width: 767px) {
  .visible-xs {
    display: block !important;
  }
  table.visible-xs {
    display: table !important;
  }
  tr.visible-xs {
    display: table-row !important;
  }
  th.visible-xs,
  td.visible-xs {
    display: table-cell !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-block {
    display: block !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline {
    display: inline !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm {
    display: block !important;
  }
  table.visible-sm {
    display: table !important;
  }
  tr.visible-sm {
    display: table-row !important;
  }
  th.visible-sm,
  td.visible-sm {
    display: table-cell !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-block {
    display: block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline {
    display: inline !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md {
    display: block !important;
  }
  table.visible-md {
    display: table !important;
  }
  tr.visible-md {
    display: table-row !important;
  }
  th.visible-md,
  td.visible-md {
    display: table-cell !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-block {
    display: block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline {
    display: inline !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg {
    display: block !important;
  }
  table.visible-lg {
    display: table !important;
  }
  tr.visible-lg {
    display: table-row !important;
  }
  th.visible-lg,
  td.visible-lg {
    display: table-cell !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-block {
    display: block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline {
    display: inline !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline-block {
    display: inline-block !important;
  }
}
@media (max-width: 767px) {
  .hidden-xs {
    display: none !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .hidden-sm {
    display: none !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .hidden-md {
    display: none !important;
  }
}
@media (min-width: 1200px) {
  .hidden-lg {
    display: none !important;
  }
}
.visible-print {
  display: none !important;
}
@media print {
  .visible-print {
    display: block !important;
  }
  table.visible-print {
    display: table !important;
  }
  tr.visible-print {
    display: table-row !important;
  }
  th.visible-print,
  td.visible-print {
    display: table-cell !important;
  }
}
.visible-print-block {
  display: none !important;
}
@media print {
  .visible-print-block {
    display: block !important;
  }
}
.visible-print-inline {
  display: none !important;
}
@media print {
  .visible-print-inline {
    display: inline !important;
  }
}
.visible-print-inline-block {
  display: none !important;
}
@media print {
  .visible-print-inline-block {
    display: inline-block !important;
  }
}
@media print {
  .hidden-print {
    display: none !important;
  }
}
/*!
*
* Font Awesome
*
*/
/*!
 *  Font Awesome 4.7.0 by @davegandy - http://fontawesome.io - @fontawesome
 *  License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)
 */
/* FONT PATH
 * -------------------------- */
@font-face {
  font-family: 'FontAwesome';
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?v=4.7.0');
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.7.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0') format('woff2'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.7.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.7.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.7.0#fontawesomeregular') format('svg');
  font-weight: normal;
  font-style: normal;
}
.fa {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
}
/* makes the font 33% larger relative to the icon container */
.fa-lg {
  font-size: 1.33333333em;
  line-height: 0.75em;
  vertical-align: -15%;
}
.fa-2x {
  font-size: 2em;
}
.fa-3x {
  font-size: 3em;
}
.fa-4x {
  font-size: 4em;
}
.fa-5x {
  font-size: 5em;
}
.fa-fw {
  width: 1.28571429em;
  text-align: center;
}
.fa-ul {
  padding-left: 0;
  margin-left: 2.14285714em;
  list-style-type: none;
}
.fa-ul > li {
  position: relative;
}
.fa-li {
  position: absolute;
  left: -2.14285714em;
  width: 2.14285714em;
  top: 0.14285714em;
  text-align: center;
}
.fa-li.fa-lg {
  left: -1.85714286em;
}
.fa-border {
  padding: .2em .25em .15em;
  border: solid 0.08em #eee;
  border-radius: .1em;
}
.fa-pull-left {
  float: left;
}
.fa-pull-right {
  float: right;
}
.fa.fa-pull-left {
  margin-right: .3em;
}
.fa.fa-pull-right {
  margin-left: .3em;
}
/* Deprecated as of 4.4.0 */
.pull-right {
  float: right;
}
.pull-left {
  float: left;
}
.fa.pull-left {
  margin-right: .3em;
}
.fa.pull-right {
  margin-left: .3em;
}
.fa-spin {
  -webkit-animation: fa-spin 2s infinite linear;
  animation: fa-spin 2s infinite linear;
}
.fa-pulse {
  -webkit-animation: fa-spin 1s infinite steps(8);
  animation: fa-spin 1s infinite steps(8);
}
@-webkit-keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
@keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
.fa-rotate-90 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=1)";
  -webkit-transform: rotate(90deg);
  -ms-transform: rotate(90deg);
  transform: rotate(90deg);
}
.fa-rotate-180 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2)";
  -webkit-transform: rotate(180deg);
  -ms-transform: rotate(180deg);
  transform: rotate(180deg);
}
.fa-rotate-270 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=3)";
  -webkit-transform: rotate(270deg);
  -ms-transform: rotate(270deg);
  transform: rotate(270deg);
}
.fa-flip-horizontal {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1)";
  -webkit-transform: scale(-1, 1);
  -ms-transform: scale(-1, 1);
  transform: scale(-1, 1);
}
.fa-flip-vertical {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1)";
  -webkit-transform: scale(1, -1);
  -ms-transform: scale(1, -1);
  transform: scale(1, -1);
}
:root .fa-rotate-90,
:root .fa-rotate-180,
:root .fa-rotate-270,
:root .fa-flip-horizontal,
:root .fa-flip-vertical {
  filter: none;
}
.fa-stack {
  position: relative;
  display: inline-block;
  width: 2em;
  height: 2em;
  line-height: 2em;
  vertical-align: middle;
}
.fa-stack-1x,
.fa-stack-2x {
  position: absolute;
  left: 0;
  width: 100%;
  text-align: center;
}
.fa-stack-1x {
  line-height: inherit;
}
.fa-stack-2x {
  font-size: 2em;
}
.fa-inverse {
  color: #fff;
}
/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
   readers do not read off random characters that represent icons */
.fa-glass:before {
  content: "\f000";
}
.fa-music:before {
  content: "\f001";
}
.fa-search:before {
  content: "\f002";
}
.fa-envelope-o:before {
  content: "\f003";
}
.fa-heart:before {
  content: "\f004";
}
.fa-star:before {
  content: "\f005";
}
.fa-star-o:before {
  content: "\f006";
}
.fa-user:before {
  content: "\f007";
}
.fa-film:before {
  content: "\f008";
}
.fa-th-large:before {
  content: "\f009";
}
.fa-th:before {
  content: "\f00a";
}
.fa-th-list:before {
  content: "\f00b";
}
.fa-check:before {
  content: "\f00c";
}
.fa-remove:before,
.fa-close:before,
.fa-times:before {
  content: "\f00d";
}
.fa-search-plus:before {
  content: "\f00e";
}
.fa-search-minus:before {
  content: "\f010";
}
.fa-power-off:before {
  content: "\f011";
}
.fa-signal:before {
  content: "\f012";
}
.fa-gear:before,
.fa-cog:before {
  content: "\f013";
}
.fa-trash-o:before {
  content: "\f014";
}
.fa-home:before {
  content: "\f015";
}
.fa-file-o:before {
  content: "\f016";
}
.fa-clock-o:before {
  content: "\f017";
}
.fa-road:before {
  content: "\f018";
}
.fa-download:before {
  content: "\f019";
}
.fa-arrow-circle-o-down:before {
  content: "\f01a";
}
.fa-arrow-circle-o-up:before {
  content: "\f01b";
}
.fa-inbox:before {
  content: "\f01c";
}
.fa-play-circle-o:before {
  content: "\f01d";
}
.fa-rotate-right:before,
.fa-repeat:before {
  content: "\f01e";
}
.fa-refresh:before {
  content: "\f021";
}
.fa-list-alt:before {
  content: "\f022";
}
.fa-lock:before {
  content: "\f023";
}
.fa-flag:before {
  content: "\f024";
}
.fa-headphones:before {
  content: "\f025";
}
.fa-volume-off:before {
  content: "\f026";
}
.fa-volume-down:before {
  content: "\f027";
}
.fa-volume-up:before {
  content: "\f028";
}
.fa-qrcode:before {
  content: "\f029";
}
.fa-barcode:before {
  content: "\f02a";
}
.fa-tag:before {
  content: "\f02b";
}
.fa-tags:before {
  content: "\f02c";
}
.fa-book:before {
  content: "\f02d";
}
.fa-bookmark:before {
  content: "\f02e";
}
.fa-print:before {
  content: "\f02f";
}
.fa-camera:before {
  content: "\f030";
}
.fa-font:before {
  content: "\f031";
}
.fa-bold:before {
  content: "\f032";
}
.fa-italic:before {
  content: "\f033";
}
.fa-text-height:before {
  content: "\f034";
}
.fa-text-width:before {
  content: "\f035";
}
.fa-align-left:before {
  content: "\f036";
}
.fa-align-center:before {
  content: "\f037";
}
.fa-align-right:before {
  content: "\f038";
}
.fa-align-justify:before {
  content: "\f039";
}
.fa-list:before {
  content: "\f03a";
}
.fa-dedent:before,
.fa-outdent:before {
  content: "\f03b";
}
.fa-indent:before {
  content: "\f03c";
}
.fa-video-camera:before {
  content: "\f03d";
}
.fa-photo:before,
.fa-image:before,
.fa-picture-o:before {
  content: "\f03e";
}
.fa-pencil:before {
  content: "\f040";
}
.fa-map-marker:before {
  content: "\f041";
}
.fa-adjust:before {
  content: "\f042";
}
.fa-tint:before {
  content: "\f043";
}
.fa-edit:before,
.fa-pencil-square-o:before {
  content: "\f044";
}
.fa-share-square-o:before {
  content: "\f045";
}
.fa-check-square-o:before {
  content: "\f046";
}
.fa-arrows:before {
  content: "\f047";
}
.fa-step-backward:before {
  content: "\f048";
}
.fa-fast-backward:before {
  content: "\f049";
}
.fa-backward:before {
  content: "\f04a";
}
.fa-play:before {
  content: "\f04b";
}
.fa-pause:before {
  content: "\f04c";
}
.fa-stop:before {
  content: "\f04d";
}
.fa-forward:before {
  content: "\f04e";
}
.fa-fast-forward:before {
  content: "\f050";
}
.fa-step-forward:before {
  content: "\f051";
}
.fa-eject:before {
  content: "\f052";
}
.fa-chevron-left:before {
  content: "\f053";
}
.fa-chevron-right:before {
  content: "\f054";
}
.fa-plus-circle:before {
  content: "\f055";
}
.fa-minus-circle:before {
  content: "\f056";
}
.fa-times-circle:before {
  content: "\f057";
}
.fa-check-circle:before {
  content: "\f058";
}
.fa-question-circle:before {
  content: "\f059";
}
.fa-info-circle:before {
  content: "\f05a";
}
.fa-crosshairs:before {
  content: "\f05b";
}
.fa-times-circle-o:before {
  content: "\f05c";
}
.fa-check-circle-o:before {
  content: "\f05d";
}
.fa-ban:before {
  content: "\f05e";
}
.fa-arrow-left:before {
  content: "\f060";
}
.fa-arrow-right:before {
  content: "\f061";
}
.fa-arrow-up:before {
  content: "\f062";
}
.fa-arrow-down:before {
  content: "\f063";
}
.fa-mail-forward:before,
.fa-share:before {
  content: "\f064";
}
.fa-expand:before {
  content: "\f065";
}
.fa-compress:before {
  content: "\f066";
}
.fa-plus:before {
  content: "\f067";
}
.fa-minus:before {
  content: "\f068";
}
.fa-asterisk:before {
  content: "\f069";
}
.fa-exclamation-circle:before {
  content: "\f06a";
}
.fa-gift:before {
  content: "\f06b";
}
.fa-leaf:before {
  content: "\f06c";
}
.fa-fire:before {
  content: "\f06d";
}
.fa-eye:before {
  content: "\f06e";
}
.fa-eye-slash:before {
  content: "\f070";
}
.fa-warning:before,
.fa-exclamation-triangle:before {
  content: "\f071";
}
.fa-plane:before {
  content: "\f072";
}
.fa-calendar:before {
  content: "\f073";
}
.fa-random:before {
  content: "\f074";
}
.fa-comment:before {
  content: "\f075";
}
.fa-magnet:before {
  content: "\f076";
}
.fa-chevron-up:before {
  content: "\f077";
}
.fa-chevron-down:before {
  content: "\f078";
}
.fa-retweet:before {
  content: "\f079";
}
.fa-shopping-cart:before {
  content: "\f07a";
}
.fa-folder:before {
  content: "\f07b";
}
.fa-folder-open:before {
  content: "\f07c";
}
.fa-arrows-v:before {
  content: "\f07d";
}
.fa-arrows-h:before {
  content: "\f07e";
}
.fa-bar-chart-o:before,
.fa-bar-chart:before {
  content: "\f080";
}
.fa-twitter-square:before {
  content: "\f081";
}
.fa-facebook-square:before {
  content: "\f082";
}
.fa-camera-retro:before {
  content: "\f083";
}
.fa-key:before {
  content: "\f084";
}
.fa-gears:before,
.fa-cogs:before {
  content: "\f085";
}
.fa-comments:before {
  content: "\f086";
}
.fa-thumbs-o-up:before {
  content: "\f087";
}
.fa-thumbs-o-down:before {
  content: "\f088";
}
.fa-star-half:before {
  content: "\f089";
}
.fa-heart-o:before {
  content: "\f08a";
}
.fa-sign-out:before {
  content: "\f08b";
}
.fa-linkedin-square:before {
  content: "\f08c";
}
.fa-thumb-tack:before {
  content: "\f08d";
}
.fa-external-link:before {
  content: "\f08e";
}
.fa-sign-in:before {
  content: "\f090";
}
.fa-trophy:before {
  content: "\f091";
}
.fa-github-square:before {
  content: "\f092";
}
.fa-upload:before {
  content: "\f093";
}
.fa-lemon-o:before {
  content: "\f094";
}
.fa-phone:before {
  content: "\f095";
}
.fa-square-o:before {
  content: "\f096";
}
.fa-bookmark-o:before {
  content: "\f097";
}
.fa-phone-square:before {
  content: "\f098";
}
.fa-twitter:before {
  content: "\f099";
}
.fa-facebook-f:before,
.fa-facebook:before {
  content: "\f09a";
}
.fa-github:before {
  content: "\f09b";
}
.fa-unlock:before {
  content: "\f09c";
}
.fa-credit-card:before {
  content: "\f09d";
}
.fa-feed:before,
.fa-rss:before {
  content: "\f09e";
}
.fa-hdd-o:before {
  content: "\f0a0";
}
.fa-bullhorn:before {
  content: "\f0a1";
}
.fa-bell:before {
  content: "\f0f3";
}
.fa-certificate:before {
  content: "\f0a3";
}
.fa-hand-o-right:before {
  content: "\f0a4";
}
.fa-hand-o-left:before {
  content: "\f0a5";
}
.fa-hand-o-up:before {
  content: "\f0a6";
}
.fa-hand-o-down:before {
  content: "\f0a7";
}
.fa-arrow-circle-left:before {
  content: "\f0a8";
}
.fa-arrow-circle-right:before {
  content: "\f0a9";
}
.fa-arrow-circle-up:before {
  content: "\f0aa";
}
.fa-arrow-circle-down:before {
  content: "\f0ab";
}
.fa-globe:before {
  content: "\f0ac";
}
.fa-wrench:before {
  content: "\f0ad";
}
.fa-tasks:before {
  content: "\f0ae";
}
.fa-filter:before {
  content: "\f0b0";
}
.fa-briefcase:before {
  content: "\f0b1";
}
.fa-arrows-alt:before {
  content: "\f0b2";
}
.fa-group:before,
.fa-users:before {
  content: "\f0c0";
}
.fa-chain:before,
.fa-link:before {
  content: "\f0c1";
}
.fa-cloud:before {
  content: "\f0c2";
}
.fa-flask:before {
  content: "\f0c3";
}
.fa-cut:before,
.fa-scissors:before {
  content: "\f0c4";
}
.fa-copy:before,
.fa-files-o:before {
  content: "\f0c5";
}
.fa-paperclip:before {
  content: "\f0c6";
}
.fa-save:before,
.fa-floppy-o:before {
  content: "\f0c7";
}
.fa-square:before {
  content: "\f0c8";
}
.fa-navicon:before,
.fa-reorder:before,
.fa-bars:before {
  content: "\f0c9";
}
.fa-list-ul:before {
  content: "\f0ca";
}
.fa-list-ol:before {
  content: "\f0cb";
}
.fa-strikethrough:before {
  content: "\f0cc";
}
.fa-underline:before {
  content: "\f0cd";
}
.fa-table:before {
  content: "\f0ce";
}
.fa-magic:before {
  content: "\f0d0";
}
.fa-truck:before {
  content: "\f0d1";
}
.fa-pinterest:before {
  content: "\f0d2";
}
.fa-pinterest-square:before {
  content: "\f0d3";
}
.fa-google-plus-square:before {
  content: "\f0d4";
}
.fa-google-plus:before {
  content: "\f0d5";
}
.fa-money:before {
  content: "\f0d6";
}
.fa-caret-down:before {
  content: "\f0d7";
}
.fa-caret-up:before {
  content: "\f0d8";
}
.fa-caret-left:before {
  content: "\f0d9";
}
.fa-caret-right:before {
  content: "\f0da";
}
.fa-columns:before {
  content: "\f0db";
}
.fa-unsorted:before,
.fa-sort:before {
  content: "\f0dc";
}
.fa-sort-down:before,
.fa-sort-desc:before {
  content: "\f0dd";
}
.fa-sort-up:before,
.fa-sort-asc:before {
  content: "\f0de";
}
.fa-envelope:before {
  content: "\f0e0";
}
.fa-linkedin:before {
  content: "\f0e1";
}
.fa-rotate-left:before,
.fa-undo:before {
  content: "\f0e2";
}
.fa-legal:before,
.fa-gavel:before {
  content: "\f0e3";
}
.fa-dashboard:before,
.fa-tachometer:before {
  content: "\f0e4";
}
.fa-comment-o:before {
  content: "\f0e5";
}
.fa-comments-o:before {
  content: "\f0e6";
}
.fa-flash:before,
.fa-bolt:before {
  content: "\f0e7";
}
.fa-sitemap:before {
  content: "\f0e8";
}
.fa-umbrella:before {
  content: "\f0e9";
}
.fa-paste:before,
.fa-clipboard:before {
  content: "\f0ea";
}
.fa-lightbulb-o:before {
  content: "\f0eb";
}
.fa-exchange:before {
  content: "\f0ec";
}
.fa-cloud-download:before {
  content: "\f0ed";
}
.fa-cloud-upload:before {
  content: "\f0ee";
}
.fa-user-md:before {
  content: "\f0f0";
}
.fa-stethoscope:before {
  content: "\f0f1";
}
.fa-suitcase:before {
  content: "\f0f2";
}
.fa-bell-o:before {
  content: "\f0a2";
}
.fa-coffee:before {
  content: "\f0f4";
}
.fa-cutlery:before {
  content: "\f0f5";
}
.fa-file-text-o:before {
  content: "\f0f6";
}
.fa-building-o:before {
  content: "\f0f7";
}
.fa-hospital-o:before {
  content: "\f0f8";
}
.fa-ambulance:before {
  content: "\f0f9";
}
.fa-medkit:before {
  content: "\f0fa";
}
.fa-fighter-jet:before {
  content: "\f0fb";
}
.fa-beer:before {
  content: "\f0fc";
}
.fa-h-square:before {
  content: "\f0fd";
}
.fa-plus-square:before {
  content: "\f0fe";
}
.fa-angle-double-left:before {
  content: "\f100";
}
.fa-angle-double-right:before {
  content: "\f101";
}
.fa-angle-double-up:before {
  content: "\f102";
}
.fa-angle-double-down:before {
  content: "\f103";
}
.fa-angle-left:before {
  content: "\f104";
}
.fa-angle-right:before {
  content: "\f105";
}
.fa-angle-up:before {
  content: "\f106";
}
.fa-angle-down:before {
  content: "\f107";
}
.fa-desktop:before {
  content: "\f108";
}
.fa-laptop:before {
  content: "\f109";
}
.fa-tablet:before {
  content: "\f10a";
}
.fa-mobile-phone:before,
.fa-mobile:before {
  content: "\f10b";
}
.fa-circle-o:before {
  content: "\f10c";
}
.fa-quote-left:before {
  content: "\f10d";
}
.fa-quote-right:before {
  content: "\f10e";
}
.fa-spinner:before {
  content: "\f110";
}
.fa-circle:before {
  content: "\f111";
}
.fa-mail-reply:before,
.fa-reply:before {
  content: "\f112";
}
.fa-github-alt:before {
  content: "\f113";
}
.fa-folder-o:before {
  content: "\f114";
}
.fa-folder-open-o:before {
  content: "\f115";
}
.fa-smile-o:before {
  content: "\f118";
}
.fa-frown-o:before {
  content: "\f119";
}
.fa-meh-o:before {
  content: "\f11a";
}
.fa-gamepad:before {
  content: "\f11b";
}
.fa-keyboard-o:before {
  content: "\f11c";
}
.fa-flag-o:before {
  content: "\f11d";
}
.fa-flag-checkered:before {
  content: "\f11e";
}
.fa-terminal:before {
  content: "\f120";
}
.fa-code:before {
  content: "\f121";
}
.fa-mail-reply-all:before,
.fa-reply-all:before {
  content: "\f122";
}
.fa-star-half-empty:before,
.fa-star-half-full:before,
.fa-star-half-o:before {
  content: "\f123";
}
.fa-location-arrow:before {
  content: "\f124";
}
.fa-crop:before {
  content: "\f125";
}
.fa-code-fork:before {
  content: "\f126";
}
.fa-unlink:before,
.fa-chain-broken:before {
  content: "\f127";
}
.fa-question:before {
  content: "\f128";
}
.fa-info:before {
  content: "\f129";
}
.fa-exclamation:before {
  content: "\f12a";
}
.fa-superscript:before {
  content: "\f12b";
}
.fa-subscript:before {
  content: "\f12c";
}
.fa-eraser:before {
  content: "\f12d";
}
.fa-puzzle-piece:before {
  content: "\f12e";
}
.fa-microphone:before {
  content: "\f130";
}
.fa-microphone-slash:before {
  content: "\f131";
}
.fa-shield:before {
  content: "\f132";
}
.fa-calendar-o:before {
  content: "\f133";
}
.fa-fire-extinguisher:before {
  content: "\f134";
}
.fa-rocket:before {
  content: "\f135";
}
.fa-maxcdn:before {
  content: "\f136";
}
.fa-chevron-circle-left:before {
  content: "\f137";
}
.fa-chevron-circle-right:before {
  content: "\f138";
}
.fa-chevron-circle-up:before {
  content: "\f139";
}
.fa-chevron-circle-down:before {
  content: "\f13a";
}
.fa-html5:before {
  content: "\f13b";
}
.fa-css3:before {
  content: "\f13c";
}
.fa-anchor:before {
  content: "\f13d";
}
.fa-unlock-alt:before {
  content: "\f13e";
}
.fa-bullseye:before {
  content: "\f140";
}
.fa-ellipsis-h:before {
  content: "\f141";
}
.fa-ellipsis-v:before {
  content: "\f142";
}
.fa-rss-square:before {
  content: "\f143";
}
.fa-play-circle:before {
  content: "\f144";
}
.fa-ticket:before {
  content: "\f145";
}
.fa-minus-square:before {
  content: "\f146";
}
.fa-minus-square-o:before {
  content: "\f147";
}
.fa-level-up:before {
  content: "\f148";
}
.fa-level-down:before {
  content: "\f149";
}
.fa-check-square:before {
  content: "\f14a";
}
.fa-pencil-square:before {
  content: "\f14b";
}
.fa-external-link-square:before {
  content: "\f14c";
}
.fa-share-square:before {
  content: "\f14d";
}
.fa-compass:before {
  content: "\f14e";
}
.fa-toggle-down:before,
.fa-caret-square-o-down:before {
  content: "\f150";
}
.fa-toggle-up:before,
.fa-caret-square-o-up:before {
  content: "\f151";
}
.fa-toggle-right:before,
.fa-caret-square-o-right:before {
  content: "\f152";
}
.fa-euro:before,
.fa-eur:before {
  content: "\f153";
}
.fa-gbp:before {
  content: "\f154";
}
.fa-dollar:before,
.fa-usd:before {
  content: "\f155";
}
.fa-rupee:before,
.fa-inr:before {
  content: "\f156";
}
.fa-cny:before,
.fa-rmb:before,
.fa-yen:before,
.fa-jpy:before {
  content: "\f157";
}
.fa-ruble:before,
.fa-rouble:before,
.fa-rub:before {
  content: "\f158";
}
.fa-won:before,
.fa-krw:before {
  content: "\f159";
}
.fa-bitcoin:before,
.fa-btc:before {
  content: "\f15a";
}
.fa-file:before {
  content: "\f15b";
}
.fa-file-text:before {
  content: "\f15c";
}
.fa-sort-alpha-asc:before {
  content: "\f15d";
}
.fa-sort-alpha-desc:before {
  content: "\f15e";
}
.fa-sort-amount-asc:before {
  content: "\f160";
}
.fa-sort-amount-desc:before {
  content: "\f161";
}
.fa-sort-numeric-asc:before {
  content: "\f162";
}
.fa-sort-numeric-desc:before {
  content: "\f163";
}
.fa-thumbs-up:before {
  content: "\f164";
}
.fa-thumbs-down:before {
  content: "\f165";
}
.fa-youtube-square:before {
  content: "\f166";
}
.fa-youtube:before {
  content: "\f167";
}
.fa-xing:before {
  content: "\f168";
}
.fa-xing-square:before {
  content: "\f169";
}
.fa-youtube-play:before {
  content: "\f16a";
}
.fa-dropbox:before {
  content: "\f16b";
}
.fa-stack-overflow:before {
  content: "\f16c";
}
.fa-instagram:before {
  content: "\f16d";
}
.fa-flickr:before {
  content: "\f16e";
}
.fa-adn:before {
  content: "\f170";
}
.fa-bitbucket:before {
  content: "\f171";
}
.fa-bitbucket-square:before {
  content: "\f172";
}
.fa-tumblr:before {
  content: "\f173";
}
.fa-tumblr-square:before {
  content: "\f174";
}
.fa-long-arrow-down:before {
  content: "\f175";
}
.fa-long-arrow-up:before {
  content: "\f176";
}
.fa-long-arrow-left:before {
  content: "\f177";
}
.fa-long-arrow-right:before {
  content: "\f178";
}
.fa-apple:before {
  content: "\f179";
}
.fa-windows:before {
  content: "\f17a";
}
.fa-android:before {
  content: "\f17b";
}
.fa-linux:before {
  content: "\f17c";
}
.fa-dribbble:before {
  content: "\f17d";
}
.fa-skype:before {
  content: "\f17e";
}
.fa-foursquare:before {
  content: "\f180";
}
.fa-trello:before {
  content: "\f181";
}
.fa-female:before {
  content: "\f182";
}
.fa-male:before {
  content: "\f183";
}
.fa-gittip:before,
.fa-gratipay:before {
  content: "\f184";
}
.fa-sun-o:before {
  content: "\f185";
}
.fa-moon-o:before {
  content: "\f186";
}
.fa-archive:before {
  content: "\f187";
}
.fa-bug:before {
  content: "\f188";
}
.fa-vk:before {
  content: "\f189";
}
.fa-weibo:before {
  content: "\f18a";
}
.fa-renren:before {
  content: "\f18b";
}
.fa-pagelines:before {
  content: "\f18c";
}
.fa-stack-exchange:before {
  content: "\f18d";
}
.fa-arrow-circle-o-right:before {
  content: "\f18e";
}
.fa-arrow-circle-o-left:before {
  content: "\f190";
}
.fa-toggle-left:before,
.fa-caret-square-o-left:before {
  content: "\f191";
}
.fa-dot-circle-o:before {
  content: "\f192";
}
.fa-wheelchair:before {
  content: "\f193";
}
.fa-vimeo-square:before {
  content: "\f194";
}
.fa-turkish-lira:before,
.fa-try:before {
  content: "\f195";
}
.fa-plus-square-o:before {
  content: "\f196";
}
.fa-space-shuttle:before {
  content: "\f197";
}
.fa-slack:before {
  content: "\f198";
}
.fa-envelope-square:before {
  content: "\f199";
}
.fa-wordpress:before {
  content: "\f19a";
}
.fa-openid:before {
  content: "\f19b";
}
.fa-institution:before,
.fa-bank:before,
.fa-university:before {
  content: "\f19c";
}
.fa-mortar-board:before,
.fa-graduation-cap:before {
  content: "\f19d";
}
.fa-yahoo:before {
  content: "\f19e";
}
.fa-google:before {
  content: "\f1a0";
}
.fa-reddit:before {
  content: "\f1a1";
}
.fa-reddit-square:before {
  content: "\f1a2";
}
.fa-stumbleupon-circle:before {
  content: "\f1a3";
}
.fa-stumbleupon:before {
  content: "\f1a4";
}
.fa-delicious:before {
  content: "\f1a5";
}
.fa-digg:before {
  content: "\f1a6";
}
.fa-pied-piper-pp:before {
  content: "\f1a7";
}
.fa-pied-piper-alt:before {
  content: "\f1a8";
}
.fa-drupal:before {
  content: "\f1a9";
}
.fa-joomla:before {
  content: "\f1aa";
}
.fa-language:before {
  content: "\f1ab";
}
.fa-fax:before {
  content: "\f1ac";
}
.fa-building:before {
  content: "\f1ad";
}
.fa-child:before {
  content: "\f1ae";
}
.fa-paw:before {
  content: "\f1b0";
}
.fa-spoon:before {
  content: "\f1b1";
}
.fa-cube:before {
  content: "\f1b2";
}
.fa-cubes:before {
  content: "\f1b3";
}
.fa-behance:before {
  content: "\f1b4";
}
.fa-behance-square:before {
  content: "\f1b5";
}
.fa-steam:before {
  content: "\f1b6";
}
.fa-steam-square:before {
  content: "\f1b7";
}
.fa-recycle:before {
  content: "\f1b8";
}
.fa-automobile:before,
.fa-car:before {
  content: "\f1b9";
}
.fa-cab:before,
.fa-taxi:before {
  content: "\f1ba";
}
.fa-tree:before {
  content: "\f1bb";
}
.fa-spotify:before {
  content: "\f1bc";
}
.fa-deviantart:before {
  content: "\f1bd";
}
.fa-soundcloud:before {
  content: "\f1be";
}
.fa-database:before {
  content: "\f1c0";
}
.fa-file-pdf-o:before {
  content: "\f1c1";
}
.fa-file-word-o:before {
  content: "\f1c2";
}
.fa-file-excel-o:before {
  content: "\f1c3";
}
.fa-file-powerpoint-o:before {
  content: "\f1c4";
}
.fa-file-photo-o:before,
.fa-file-picture-o:before,
.fa-file-image-o:before {
  content: "\f1c5";
}
.fa-file-zip-o:before,
.fa-file-archive-o:before {
  content: "\f1c6";
}
.fa-file-sound-o:before,
.fa-file-audio-o:before {
  content: "\f1c7";
}
.fa-file-movie-o:before,
.fa-file-video-o:before {
  content: "\f1c8";
}
.fa-file-code-o:before {
  content: "\f1c9";
}
.fa-vine:before {
  content: "\f1ca";
}
.fa-codepen:before {
  content: "\f1cb";
}
.fa-jsfiddle:before {
  content: "\f1cc";
}
.fa-life-bouy:before,
.fa-life-buoy:before,
.fa-life-saver:before,
.fa-support:before,
.fa-life-ring:before {
  content: "\f1cd";
}
.fa-circle-o-notch:before {
  content: "\f1ce";
}
.fa-ra:before,
.fa-resistance:before,
.fa-rebel:before {
  content: "\f1d0";
}
.fa-ge:before,
.fa-empire:before {
  content: "\f1d1";
}
.fa-git-square:before {
  content: "\f1d2";
}
.fa-git:before {
  content: "\f1d3";
}
.fa-y-combinator-square:before,
.fa-yc-square:before,
.fa-hacker-news:before {
  content: "\f1d4";
}
.fa-tencent-weibo:before {
  content: "\f1d5";
}
.fa-qq:before {
  content: "\f1d6";
}
.fa-wechat:before,
.fa-weixin:before {
  content: "\f1d7";
}
.fa-send:before,
.fa-paper-plane:before {
  content: "\f1d8";
}
.fa-send-o:before,
.fa-paper-plane-o:before {
  content: "\f1d9";
}
.fa-history:before {
  content: "\f1da";
}
.fa-circle-thin:before {
  content: "\f1db";
}
.fa-header:before {
  content: "\f1dc";
}
.fa-paragraph:before {
  content: "\f1dd";
}
.fa-sliders:before {
  content: "\f1de";
}
.fa-share-alt:before {
  content: "\f1e0";
}
.fa-share-alt-square:before {
  content: "\f1e1";
}
.fa-bomb:before {
  content: "\f1e2";
}
.fa-soccer-ball-o:before,
.fa-futbol-o:before {
  content: "\f1e3";
}
.fa-tty:before {
  content: "\f1e4";
}
.fa-binoculars:before {
  content: "\f1e5";
}
.fa-plug:before {
  content: "\f1e6";
}
.fa-slideshare:before {
  content: "\f1e7";
}
.fa-twitch:before {
  content: "\f1e8";
}
.fa-yelp:before {
  content: "\f1e9";
}
.fa-newspaper-o:before {
  content: "\f1ea";
}
.fa-wifi:before {
  content: "\f1eb";
}
.fa-calculator:before {
  content: "\f1ec";
}
.fa-paypal:before {
  content: "\f1ed";
}
.fa-google-wallet:before {
  content: "\f1ee";
}
.fa-cc-visa:before {
  content: "\f1f0";
}
.fa-cc-mastercard:before {
  content: "\f1f1";
}
.fa-cc-discover:before {
  content: "\f1f2";
}
.fa-cc-amex:before {
  content: "\f1f3";
}
.fa-cc-paypal:before {
  content: "\f1f4";
}
.fa-cc-stripe:before {
  content: "\f1f5";
}
.fa-bell-slash:before {
  content: "\f1f6";
}
.fa-bell-slash-o:before {
  content: "\f1f7";
}
.fa-trash:before {
  content: "\f1f8";
}
.fa-copyright:before {
  content: "\f1f9";
}
.fa-at:before {
  content: "\f1fa";
}
.fa-eyedropper:before {
  content: "\f1fb";
}
.fa-paint-brush:before {
  content: "\f1fc";
}
.fa-birthday-cake:before {
  content: "\f1fd";
}
.fa-area-chart:before {
  content: "\f1fe";
}
.fa-pie-chart:before {
  content: "\f200";
}
.fa-line-chart:before {
  content: "\f201";
}
.fa-lastfm:before {
  content: "\f202";
}
.fa-lastfm-square:before {
  content: "\f203";
}
.fa-toggle-off:before {
  content: "\f204";
}
.fa-toggle-on:before {
  content: "\f205";
}
.fa-bicycle:before {
  content: "\f206";
}
.fa-bus:before {
  content: "\f207";
}
.fa-ioxhost:before {
  content: "\f208";
}
.fa-angellist:before {
  content: "\f209";
}
.fa-cc:before {
  content: "\f20a";
}
.fa-shekel:before,
.fa-sheqel:before,
.fa-ils:before {
  content: "\f20b";
}
.fa-meanpath:before {
  content: "\f20c";
}
.fa-buysellads:before {
  content: "\f20d";
}
.fa-connectdevelop:before {
  content: "\f20e";
}
.fa-dashcube:before {
  content: "\f210";
}
.fa-forumbee:before {
  content: "\f211";
}
.fa-leanpub:before {
  content: "\f212";
}
.fa-sellsy:before {
  content: "\f213";
}
.fa-shirtsinbulk:before {
  content: "\f214";
}
.fa-simplybuilt:before {
  content: "\f215";
}
.fa-skyatlas:before {
  content: "\f216";
}
.fa-cart-plus:before {
  content: "\f217";
}
.fa-cart-arrow-down:before {
  content: "\f218";
}
.fa-diamond:before {
  content: "\f219";
}
.fa-ship:before {
  content: "\f21a";
}
.fa-user-secret:before {
  content: "\f21b";
}
.fa-motorcycle:before {
  content: "\f21c";
}
.fa-street-view:before {
  content: "\f21d";
}
.fa-heartbeat:before {
  content: "\f21e";
}
.fa-venus:before {
  content: "\f221";
}
.fa-mars:before {
  content: "\f222";
}
.fa-mercury:before {
  content: "\f223";
}
.fa-intersex:before,
.fa-transgender:before {
  content: "\f224";
}
.fa-transgender-alt:before {
  content: "\f225";
}
.fa-venus-double:before {
  content: "\f226";
}
.fa-mars-double:before {
  content: "\f227";
}
.fa-venus-mars:before {
  content: "\f228";
}
.fa-mars-stroke:before {
  content: "\f229";
}
.fa-mars-stroke-v:before {
  content: "\f22a";
}
.fa-mars-stroke-h:before {
  content: "\f22b";
}
.fa-neuter:before {
  content: "\f22c";
}
.fa-genderless:before {
  content: "\f22d";
}
.fa-facebook-official:before {
  content: "\f230";
}
.fa-pinterest-p:before {
  content: "\f231";
}
.fa-whatsapp:before {
  content: "\f232";
}
.fa-server:before {
  content: "\f233";
}
.fa-user-plus:before {
  content: "\f234";
}
.fa-user-times:before {
  content: "\f235";
}
.fa-hotel:before,
.fa-bed:before {
  content: "\f236";
}
.fa-viacoin:before {
  content: "\f237";
}
.fa-train:before {
  content: "\f238";
}
.fa-subway:before {
  content: "\f239";
}
.fa-medium:before {
  content: "\f23a";
}
.fa-yc:before,
.fa-y-combinator:before {
  content: "\f23b";
}
.fa-optin-monster:before {
  content: "\f23c";
}
.fa-opencart:before {
  content: "\f23d";
}
.fa-expeditedssl:before {
  content: "\f23e";
}
.fa-battery-4:before,
.fa-battery:before,
.fa-battery-full:before {
  content: "\f240";
}
.fa-battery-3:before,
.fa-battery-three-quarters:before {
  content: "\f241";
}
.fa-battery-2:before,
.fa-battery-half:before {
  content: "\f242";
}
.fa-battery-1:before,
.fa-battery-quarter:before {
  content: "\f243";
}
.fa-battery-0:before,
.fa-battery-empty:before {
  content: "\f244";
}
.fa-mouse-pointer:before {
  content: "\f245";
}
.fa-i-cursor:before {
  content: "\f246";
}
.fa-object-group:before {
  content: "\f247";
}
.fa-object-ungroup:before {
  content: "\f248";
}
.fa-sticky-note:before {
  content: "\f249";
}
.fa-sticky-note-o:before {
  content: "\f24a";
}
.fa-cc-jcb:before {
  content: "\f24b";
}
.fa-cc-diners-club:before {
  content: "\f24c";
}
.fa-clone:before {
  content: "\f24d";
}
.fa-balance-scale:before {
  content: "\f24e";
}
.fa-hourglass-o:before {
  content: "\f250";
}
.fa-hourglass-1:before,
.fa-hourglass-start:before {
  content: "\f251";
}
.fa-hourglass-2:before,
.fa-hourglass-half:before {
  content: "\f252";
}
.fa-hourglass-3:before,
.fa-hourglass-end:before {
  content: "\f253";
}
.fa-hourglass:before {
  content: "\f254";
}
.fa-hand-grab-o:before,
.fa-hand-rock-o:before {
  content: "\f255";
}
.fa-hand-stop-o:before,
.fa-hand-paper-o:before {
  content: "\f256";
}
.fa-hand-scissors-o:before {
  content: "\f257";
}
.fa-hand-lizard-o:before {
  content: "\f258";
}
.fa-hand-spock-o:before {
  content: "\f259";
}
.fa-hand-pointer-o:before {
  content: "\f25a";
}
.fa-hand-peace-o:before {
  content: "\f25b";
}
.fa-trademark:before {
  content: "\f25c";
}
.fa-registered:before {
  content: "\f25d";
}
.fa-creative-commons:before {
  content: "\f25e";
}
.fa-gg:before {
  content: "\f260";
}
.fa-gg-circle:before {
  content: "\f261";
}
.fa-tripadvisor:before {
  content: "\f262";
}
.fa-odnoklassniki:before {
  content: "\f263";
}
.fa-odnoklassniki-square:before {
  content: "\f264";
}
.fa-get-pocket:before {
  content: "\f265";
}
.fa-wikipedia-w:before {
  content: "\f266";
}
.fa-safari:before {
  content: "\f267";
}
.fa-chrome:before {
  content: "\f268";
}
.fa-firefox:before {
  content: "\f269";
}
.fa-opera:before {
  content: "\f26a";
}
.fa-internet-explorer:before {
  content: "\f26b";
}
.fa-tv:before,
.fa-television:before {
  content: "\f26c";
}
.fa-contao:before {
  content: "\f26d";
}
.fa-500px:before {
  content: "\f26e";
}
.fa-amazon:before {
  content: "\f270";
}
.fa-calendar-plus-o:before {
  content: "\f271";
}
.fa-calendar-minus-o:before {
  content: "\f272";
}
.fa-calendar-times-o:before {
  content: "\f273";
}
.fa-calendar-check-o:before {
  content: "\f274";
}
.fa-industry:before {
  content: "\f275";
}
.fa-map-pin:before {
  content: "\f276";
}
.fa-map-signs:before {
  content: "\f277";
}
.fa-map-o:before {
  content: "\f278";
}
.fa-map:before {
  content: "\f279";
}
.fa-commenting:before {
  content: "\f27a";
}
.fa-commenting-o:before {
  content: "\f27b";
}
.fa-houzz:before {
  content: "\f27c";
}
.fa-vimeo:before {
  content: "\f27d";
}
.fa-black-tie:before {
  content: "\f27e";
}
.fa-fonticons:before {
  content: "\f280";
}
.fa-reddit-alien:before {
  content: "\f281";
}
.fa-edge:before {
  content: "\f282";
}
.fa-credit-card-alt:before {
  content: "\f283";
}
.fa-codiepie:before {
  content: "\f284";
}
.fa-modx:before {
  content: "\f285";
}
.fa-fort-awesome:before {
  content: "\f286";
}
.fa-usb:before {
  content: "\f287";
}
.fa-product-hunt:before {
  content: "\f288";
}
.fa-mixcloud:before {
  content: "\f289";
}
.fa-scribd:before {
  content: "\f28a";
}
.fa-pause-circle:before {
  content: "\f28b";
}
.fa-pause-circle-o:before {
  content: "\f28c";
}
.fa-stop-circle:before {
  content: "\f28d";
}
.fa-stop-circle-o:before {
  content: "\f28e";
}
.fa-shopping-bag:before {
  content: "\f290";
}
.fa-shopping-basket:before {
  content: "\f291";
}
.fa-hashtag:before {
  content: "\f292";
}
.fa-bluetooth:before {
  content: "\f293";
}
.fa-bluetooth-b:before {
  content: "\f294";
}
.fa-percent:before {
  content: "\f295";
}
.fa-gitlab:before {
  content: "\f296";
}
.fa-wpbeginner:before {
  content: "\f297";
}
.fa-wpforms:before {
  content: "\f298";
}
.fa-envira:before {
  content: "\f299";
}
.fa-universal-access:before {
  content: "\f29a";
}
.fa-wheelchair-alt:before {
  content: "\f29b";
}
.fa-question-circle-o:before {
  content: "\f29c";
}
.fa-blind:before {
  content: "\f29d";
}
.fa-audio-description:before {
  content: "\f29e";
}
.fa-volume-control-phone:before {
  content: "\f2a0";
}
.fa-braille:before {
  content: "\f2a1";
}
.fa-assistive-listening-systems:before {
  content: "\f2a2";
}
.fa-asl-interpreting:before,
.fa-american-sign-language-interpreting:before {
  content: "\f2a3";
}
.fa-deafness:before,
.fa-hard-of-hearing:before,
.fa-deaf:before {
  content: "\f2a4";
}
.fa-glide:before {
  content: "\f2a5";
}
.fa-glide-g:before {
  content: "\f2a6";
}
.fa-signing:before,
.fa-sign-language:before {
  content: "\f2a7";
}
.fa-low-vision:before {
  content: "\f2a8";
}
.fa-viadeo:before {
  content: "\f2a9";
}
.fa-viadeo-square:before {
  content: "\f2aa";
}
.fa-snapchat:before {
  content: "\f2ab";
}
.fa-snapchat-ghost:before {
  content: "\f2ac";
}
.fa-snapchat-square:before {
  content: "\f2ad";
}
.fa-pied-piper:before {
  content: "\f2ae";
}
.fa-first-order:before {
  content: "\f2b0";
}
.fa-yoast:before {
  content: "\f2b1";
}
.fa-themeisle:before {
  content: "\f2b2";
}
.fa-google-plus-circle:before,
.fa-google-plus-official:before {
  content: "\f2b3";
}
.fa-fa:before,
.fa-font-awesome:before {
  content: "\f2b4";
}
.fa-handshake-o:before {
  content: "\f2b5";
}
.fa-envelope-open:before {
  content: "\f2b6";
}
.fa-envelope-open-o:before {
  content: "\f2b7";
}
.fa-linode:before {
  content: "\f2b8";
}
.fa-address-book:before {
  content: "\f2b9";
}
.fa-address-book-o:before {
  content: "\f2ba";
}
.fa-vcard:before,
.fa-address-card:before {
  content: "\f2bb";
}
.fa-vcard-o:before,
.fa-address-card-o:before {
  content: "\f2bc";
}
.fa-user-circle:before {
  content: "\f2bd";
}
.fa-user-circle-o:before {
  content: "\f2be";
}
.fa-user-o:before {
  content: "\f2c0";
}
.fa-id-badge:before {
  content: "\f2c1";
}
.fa-drivers-license:before,
.fa-id-card:before {
  content: "\f2c2";
}
.fa-drivers-license-o:before,
.fa-id-card-o:before {
  content: "\f2c3";
}
.fa-quora:before {
  content: "\f2c4";
}
.fa-free-code-camp:before {
  content: "\f2c5";
}
.fa-telegram:before {
  content: "\f2c6";
}
.fa-thermometer-4:before,
.fa-thermometer:before,
.fa-thermometer-full:before {
  content: "\f2c7";
}
.fa-thermometer-3:before,
.fa-thermometer-three-quarters:before {
  content: "\f2c8";
}
.fa-thermometer-2:before,
.fa-thermometer-half:before {
  content: "\f2c9";
}
.fa-thermometer-1:before,
.fa-thermometer-quarter:before {
  content: "\f2ca";
}
.fa-thermometer-0:before,
.fa-thermometer-empty:before {
  content: "\f2cb";
}
.fa-shower:before {
  content: "\f2cc";
}
.fa-bathtub:before,
.fa-s15:before,
.fa-bath:before {
  content: "\f2cd";
}
.fa-podcast:before {
  content: "\f2ce";
}
.fa-window-maximize:before {
  content: "\f2d0";
}
.fa-window-minimize:before {
  content: "\f2d1";
}
.fa-window-restore:before {
  content: "\f2d2";
}
.fa-times-rectangle:before,
.fa-window-close:before {
  content: "\f2d3";
}
.fa-times-rectangle-o:before,
.fa-window-close-o:before {
  content: "\f2d4";
}
.fa-bandcamp:before {
  content: "\f2d5";
}
.fa-grav:before {
  content: "\f2d6";
}
.fa-etsy:before {
  content: "\f2d7";
}
.fa-imdb:before {
  content: "\f2d8";
}
.fa-ravelry:before {
  content: "\f2d9";
}
.fa-eercast:before {
  content: "\f2da";
}
.fa-microchip:before {
  content: "\f2db";
}
.fa-snowflake-o:before {
  content: "\f2dc";
}
.fa-superpowers:before {
  content: "\f2dd";
}
.fa-wpexplorer:before {
  content: "\f2de";
}
.fa-meetup:before {
  content: "\f2e0";
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  padding: 0;
  margin: -1px;
  overflow: hidden;
  clip: rect(0, 0, 0, 0);
  border: 0;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
/*!
*
* IPython base
*
*/
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
code {
  color: #000;
}
pre {
  font-size: inherit;
  line-height: inherit;
}
label {
  font-weight: normal;
}
/* Make the page background atleast 100% the height of the view port */
/* Make the page itself atleast 70% the height of the view port */
.border-box-sizing {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.corner-all {
  border-radius: 2px;
}
.no-padding {
  padding: 0px;
}
/* Flexible box model classes */
/* Taken from Alex Russell http://infrequently.org/2009/08/css-3-progress/ */
/* This file is a compatability layer.  It allows the usage of flexible box 
model layouts accross multiple browsers, including older browsers.  The newest,
universal implementation of the flexible box model is used when available (see
`Modern browsers` comments below).  Browsers that are known to implement this 
new spec completely include:

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

Browsers not listed, including Safari, are supported via the styling under the
`Old browsers` comments below.
*/
.hbox {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
.hbox > * {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
}
.vbox {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
.vbox > * {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
}
.hbox.reverse,
.vbox.reverse,
.reverse {
  /* Old browsers */
  -webkit-box-direction: reverse;
  -moz-box-direction: reverse;
  box-direction: reverse;
  /* Modern browsers */
  flex-direction: row-reverse;
}
.hbox.box-flex0,
.vbox.box-flex0,
.box-flex0 {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
  width: auto;
}
.hbox.box-flex1,
.vbox.box-flex1,
.box-flex1 {
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
.hbox.box-flex,
.vbox.box-flex,
.box-flex {
  /* Old browsers */
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
.hbox.box-flex2,
.vbox.box-flex2,
.box-flex2 {
  /* Old browsers */
  -webkit-box-flex: 2;
  -moz-box-flex: 2;
  box-flex: 2;
  /* Modern browsers */
  flex: 2;
}
.box-group1 {
  /*  Deprecated */
  -webkit-box-flex-group: 1;
  -moz-box-flex-group: 1;
  box-flex-group: 1;
}
.box-group2 {
  /* Deprecated */
  -webkit-box-flex-group: 2;
  -moz-box-flex-group: 2;
  box-flex-group: 2;
}
.hbox.start,
.vbox.start,
.start {
  /* Old browsers */
  -webkit-box-pack: start;
  -moz-box-pack: start;
  box-pack: start;
  /* Modern browsers */
  justify-content: flex-start;
}
.hbox.end,
.vbox.end,
.end {
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
}
.hbox.center,
.vbox.center,
.center {
  /* Old browsers */
  -webkit-box-pack: center;
  -moz-box-pack: center;
  box-pack: center;
  /* Modern browsers */
  justify-content: center;
}
.hbox.baseline,
.vbox.baseline,
.baseline {
  /* Old browsers */
  -webkit-box-pack: baseline;
  -moz-box-pack: baseline;
  box-pack: baseline;
  /* Modern browsers */
  justify-content: baseline;
}
.hbox.stretch,
.vbox.stretch,
.stretch {
  /* Old browsers */
  -webkit-box-pack: stretch;
  -moz-box-pack: stretch;
  box-pack: stretch;
  /* Modern browsers */
  justify-content: stretch;
}
.hbox.align-start,
.vbox.align-start,
.align-start {
  /* Old browsers */
  -webkit-box-align: start;
  -moz-box-align: start;
  box-align: start;
  /* Modern browsers */
  align-items: flex-start;
}
.hbox.align-end,
.vbox.align-end,
.align-end {
  /* Old browsers */
  -webkit-box-align: end;
  -moz-box-align: end;
  box-align: end;
  /* Modern browsers */
  align-items: flex-end;
}
.hbox.align-center,
.vbox.align-center,
.align-center {
  /* Old browsers */
  -webkit-box-align: center;
  -moz-box-align: center;
  box-align: center;
  /* Modern browsers */
  align-items: center;
}
.hbox.align-baseline,
.vbox.align-baseline,
.align-baseline {
  /* Old browsers */
  -webkit-box-align: baseline;
  -moz-box-align: baseline;
  box-align: baseline;
  /* Modern browsers */
  align-items: baseline;
}
.hbox.align-stretch,
.vbox.align-stretch,
.align-stretch {
  /* Old browsers */
  -webkit-box-align: stretch;
  -moz-box-align: stretch;
  box-align: stretch;
  /* Modern browsers */
  align-items: stretch;
}
div.error {
  margin: 2em;
  text-align: center;
}
div.error > h1 {
  font-size: 500%;
  line-height: normal;
}
div.error > p {
  font-size: 200%;
  line-height: normal;
}
div.traceback-wrapper {
  text-align: left;
  max-width: 800px;
  margin: auto;
}
div.traceback-wrapper pre.traceback {
  max-height: 600px;
  overflow: auto;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
body {
  background-color: #fff;
  /* This makes sure that the body covers the entire window and needs to
       be in a different element than the display: box in wrapper below */
  position: absolute;
  left: 0px;
  right: 0px;
  top: 0px;
  bottom: 0px;
  overflow: visible;
}
body > #header {
  /* Initially hidden to prevent FLOUC */
  display: none;
  background-color: #fff;
  /* Display over codemirror */
  position: relative;
  z-index: 100;
}
body > #header #header-container {
  display: flex;
  flex-direction: row;
  justify-content: space-between;
  padding: 5px;
  padding-bottom: 5px;
  padding-top: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
body > #header .header-bar {
  width: 100%;
  height: 1px;
  background: #e7e7e7;
  margin-bottom: -1px;
}
@media print {
  body > #header {
    display: none !important;
  }
}
#header-spacer {
  width: 100%;
  visibility: hidden;
}
@media print {
  #header-spacer {
    display: none;
  }
}
#ipython_notebook {
  padding-left: 0px;
  padding-top: 1px;
  padding-bottom: 1px;
}
[dir="rtl"] #ipython_notebook {
  margin-right: 10px;
  margin-left: 0;
}
[dir="rtl"] #ipython_notebook.pull-left {
  float: right !important;
  float: right;
}
.flex-spacer {
  flex: 1;
}
#noscript {
  width: auto;
  padding-top: 16px;
  padding-bottom: 16px;
  text-align: center;
  font-size: 22px;
  color: red;
  font-weight: bold;
}
#ipython_notebook img {
  height: 28px;
}
#site {
  width: 100%;
  display: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  overflow: auto;
}
@media print {
  #site {
    height: auto !important;
  }
}
/* Smaller buttons */
.ui-button .ui-button-text {
  padding: 0.2em 0.8em;
  font-size: 77%;
}
input.ui-button {
  padding: 0.3em 0.9em;
}
span#kernel_logo_widget {
  margin: 0 10px;
}
span#login_widget {
  float: right;
}
[dir="rtl"] span#login_widget {
  float: left;
}
span#login_widget > .button,
#logout {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
span#login_widget > .button:focus,
#logout:focus,
span#login_widget > .button.focus,
#logout.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
span#login_widget > .button:hover,
#logout:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
span#login_widget > .button:active,
#logout:active,
span#login_widget > .button.active,
#logout.active,
.open > .dropdown-togglespan#login_widget > .button,
.open > .dropdown-toggle#logout {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
span#login_widget > .button:active:hover,
#logout:active:hover,
span#login_widget > .button.active:hover,
#logout.active:hover,
.open > .dropdown-togglespan#login_widget > .button:hover,
.open > .dropdown-toggle#logout:hover,
span#login_widget > .button:active:focus,
#logout:active:focus,
span#login_widget > .button.active:focus,
#logout.active:focus,
.open > .dropdown-togglespan#login_widget > .button:focus,
.open > .dropdown-toggle#logout:focus,
span#login_widget > .button:active.focus,
#logout:active.focus,
span#login_widget > .button.active.focus,
#logout.active.focus,
.open > .dropdown-togglespan#login_widget > .button.focus,
.open > .dropdown-toggle#logout.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
span#login_widget > .button:active,
#logout:active,
span#login_widget > .button.active,
#logout.active,
.open > .dropdown-togglespan#login_widget > .button,
.open > .dropdown-toggle#logout {
  background-image: none;
}
span#login_widget > .button.disabled:hover,
#logout.disabled:hover,
span#login_widget > .button[disabled]:hover,
#logout[disabled]:hover,
fieldset[disabled] span#login_widget > .button:hover,
fieldset[disabled] #logout:hover,
span#login_widget > .button.disabled:focus,
#logout.disabled:focus,
span#login_widget > .button[disabled]:focus,
#logout[disabled]:focus,
fieldset[disabled] span#login_widget > .button:focus,
fieldset[disabled] #logout:focus,
span#login_widget > .button.disabled.focus,
#logout.disabled.focus,
span#login_widget > .button[disabled].focus,
#logout[disabled].focus,
fieldset[disabled] span#login_widget > .button.focus,
fieldset[disabled] #logout.focus {
  background-color: #fff;
  border-color: #ccc;
}
span#login_widget > .button .badge,
#logout .badge {
  color: #fff;
  background-color: #333;
}
.nav-header {
  text-transform: none;
}
#header > span {
  margin-top: 10px;
}
.modal_stretch .modal-dialog {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  min-height: 80vh;
}
.modal_stretch .modal-dialog .modal-body {
  max-height: calc(100vh - 200px);
  overflow: auto;
  flex: 1;
}
.modal-header {
  cursor: move;
}
@media (min-width: 768px) {
  .modal .modal-dialog {
    width: 700px;
  }
}
@media (min-width: 768px) {
  select.form-control {
    margin-left: 12px;
    margin-right: 12px;
  }
}
/*!
*
* IPython auth
*
*/
.center-nav {
  display: inline-block;
  margin-bottom: -4px;
}
[dir="rtl"] .center-nav form.pull-left {
  float: right !important;
  float: right;
}
[dir="rtl"] .center-nav .navbar-text {
  float: right;
}
[dir="rtl"] .navbar-inner {
  text-align: right;
}
[dir="rtl"] div.text-left {
  text-align: right;
}
/*!
*
* IPython tree view
*
*/
/* We need an invisible input field on top of the sentense*/
/* "Drag file onto the list ..." */
.alternate_upload {
  background-color: none;
  display: inline;
}
.alternate_upload.form {
  padding: 0;
  margin: 0;
}
.alternate_upload input.fileinput {
  position: absolute;
  display: block;
  width: 100%;
  height: 100%;
  overflow: hidden;
  cursor: pointer;
  opacity: 0;
  z-index: 2;
}
.alternate_upload .btn-xs > input.fileinput {
  margin: -1px -5px;
}
.alternate_upload .btn-upload {
  position: relative;
  height: 22px;
}
::-webkit-file-upload-button {
  cursor: pointer;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
ul#tabs {
  margin-bottom: 4px;
}
ul#tabs a {
  padding-top: 6px;
  padding-bottom: 4px;
}
[dir="rtl"] ul#tabs.nav-tabs > li {
  float: right;
}
[dir="rtl"] ul#tabs.nav.nav-tabs {
  padding-right: 0;
}
ul.breadcrumb a:focus,
ul.breadcrumb a:hover {
  text-decoration: none;
}
ul.breadcrumb i.icon-home {
  font-size: 16px;
  margin-right: 4px;
}
ul.breadcrumb span {
  color: #5e5e5e;
}
.list_toolbar {
  padding: 4px 0 4px 0;
  vertical-align: middle;
}
.list_toolbar .tree-buttons {
  padding-top: 1px;
}
[dir="rtl"] .list_toolbar .tree-buttons .pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .list_toolbar .col-sm-4,
[dir="rtl"] .list_toolbar .col-sm-8 {
  float: right;
}
.dynamic-buttons {
  padding-top: 3px;
  display: inline-block;
}
.list_toolbar [class*="span"] {
  min-height: 24px;
}
.list_header {
  font-weight: bold;
  background-color: #EEE;
}
.list_placeholder {
  font-weight: bold;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
}
.list_container {
  margin-top: 4px;
  margin-bottom: 20px;
  border: 1px solid #ddd;
  border-radius: 2px;
}
.list_container > div {
  border-bottom: 1px solid #ddd;
}
.list_container > div:hover .list-item {
  background-color: red;
}
.list_container > div:last-child {
  border: none;
}
.list_item:hover .list_item {
  background-color: #ddd;
}
.list_item a {
  text-decoration: none;
}
.list_item:hover {
  background-color: #fafafa;
}
.list_header > div,
.list_item > div {
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
.list_header > div input,
.list_item > div input {
  margin-right: 7px;
  margin-left: 14px;
  vertical-align: text-bottom;
  line-height: 22px;
  position: relative;
  top: -1px;
}
.list_header > div .item_link,
.list_item > div .item_link {
  margin-left: -1px;
  vertical-align: baseline;
  line-height: 22px;
}
[dir="rtl"] .list_item > div input {
  margin-right: 0;
}
.new-file input[type=checkbox] {
  visibility: hidden;
}
.item_name {
  line-height: 22px;
  height: 24px;
}
.item_icon {
  font-size: 14px;
  color: #5e5e5e;
  margin-right: 7px;
  margin-left: 7px;
  line-height: 22px;
  vertical-align: baseline;
}
.item_modified {
  margin-right: 7px;
  margin-left: 7px;
}
[dir="rtl"] .item_modified.pull-right {
  float: left !important;
  float: left;
}
.item_buttons {
  line-height: 1em;
  margin-left: -5px;
}
.item_buttons .btn,
.item_buttons .btn-group,
.item_buttons .input-group {
  float: left;
}
.item_buttons > .btn,
.item_buttons > .btn-group,
.item_buttons > .input-group {
  margin-left: 5px;
}
.item_buttons .btn {
  min-width: 13ex;
}
.item_buttons .running-indicator {
  padding-top: 4px;
  color: #5cb85c;
}
.item_buttons .kernel-name {
  padding-top: 4px;
  color: #5bc0de;
  margin-right: 7px;
  float: left;
}
[dir="rtl"] .item_buttons.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .item_buttons .kernel-name {
  margin-left: 7px;
  float: right;
}
.toolbar_info {
  height: 24px;
  line-height: 24px;
}
.list_item input:not([type=checkbox]) {
  padding-top: 3px;
  padding-bottom: 3px;
  height: 22px;
  line-height: 14px;
  margin: 0px;
}
.highlight_text {
  color: blue;
}
#project_name {
  display: inline-block;
  padding-left: 7px;
  margin-left: -2px;
}
#project_name > .breadcrumb {
  padding: 0px;
  margin-bottom: 0px;
  background-color: transparent;
  font-weight: bold;
}
.sort_button {
  display: inline-block;
  padding-left: 7px;
}
[dir="rtl"] .sort_button.pull-right {
  float: left !important;
  float: left;
}
#tree-selector {
  padding-right: 0px;
}
#button-select-all {
  min-width: 50px;
}
[dir="rtl"] #button-select-all.btn {
  float: right ;
}
#select-all {
  margin-left: 7px;
  margin-right: 2px;
  margin-top: 2px;
  height: 16px;
}
[dir="rtl"] #select-all.pull-left {
  float: right !important;
  float: right;
}
.menu_icon {
  margin-right: 2px;
}
.tab-content .row {
  margin-left: 0px;
  margin-right: 0px;
}
.folder_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f114";
}
.folder_icon:before.fa-pull-left {
  margin-right: .3em;
}
.folder_icon:before.fa-pull-right {
  margin-left: .3em;
}
.folder_icon:before.pull-left {
  margin-right: .3em;
}
.folder_icon:before.pull-right {
  margin-left: .3em;
}
.notebook_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f02d";
  position: relative;
  top: -1px;
}
.notebook_icon:before.fa-pull-left {
  margin-right: .3em;
}
.notebook_icon:before.fa-pull-right {
  margin-left: .3em;
}
.notebook_icon:before.pull-left {
  margin-right: .3em;
}
.notebook_icon:before.pull-right {
  margin-left: .3em;
}
.running_notebook_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f02d";
  position: relative;
  top: -1px;
  color: #5cb85c;
}
.running_notebook_icon:before.fa-pull-left {
  margin-right: .3em;
}
.running_notebook_icon:before.fa-pull-right {
  margin-left: .3em;
}
.running_notebook_icon:before.pull-left {
  margin-right: .3em;
}
.running_notebook_icon:before.pull-right {
  margin-left: .3em;
}
.file_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f016";
  position: relative;
  top: -2px;
}
.file_icon:before.fa-pull-left {
  margin-right: .3em;
}
.file_icon:before.fa-pull-right {
  margin-left: .3em;
}
.file_icon:before.pull-left {
  margin-right: .3em;
}
.file_icon:before.pull-right {
  margin-left: .3em;
}
#notebook_toolbar .pull-right {
  padding-top: 0px;
  margin-right: -1px;
}
ul#new-menu {
  left: auto;
  right: 0;
}
#new-menu .dropdown-header {
  font-size: 10px;
  border-bottom: 1px solid #e5e5e5;
  padding: 0 0 3px;
  margin: -3px 20px 0;
}
.kernel-menu-icon {
  padding-right: 12px;
  width: 24px;
  content: "\f096";
}
.kernel-menu-icon:before {
  content: "\f096";
}
.kernel-menu-icon-current:before {
  content: "\f00c";
}
#tab_content {
  padding-top: 20px;
}
#running .panel-group .panel {
  margin-top: 3px;
  margin-bottom: 1em;
}
#running .panel-group .panel .panel-heading {
  background-color: #EEE;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
#running .panel-group .panel .panel-heading a:focus,
#running .panel-group .panel .panel-heading a:hover {
  text-decoration: none;
}
#running .panel-group .panel .panel-body {
  padding: 0px;
}
#running .panel-group .panel .panel-body .list_container {
  margin-top: 0px;
  margin-bottom: 0px;
  border: 0px;
  border-radius: 0px;
}
#running .panel-group .panel .panel-body .list_container .list_item {
  border-bottom: 1px solid #ddd;
}
#running .panel-group .panel .panel-body .list_container .list_item:last-child {
  border-bottom: 0px;
}
.delete-button {
  display: none;
}
.duplicate-button {
  display: none;
}
.rename-button {
  display: none;
}
.move-button {
  display: none;
}
.download-button {
  display: none;
}
.shutdown-button {
  display: none;
}
.dynamic-instructions {
  display: inline-block;
  padding-top: 4px;
}
/*!
*
* IPython text editor webapp
*
*/
.selected-keymap i.fa {
  padding: 0px 5px;
}
.selected-keymap i.fa:before {
  content: "\f00c";
}
#mode-menu {
  overflow: auto;
  max-height: 20em;
}
.edit_app #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.edit_app #menubar .navbar {
  /* Use a negative 1 bottom margin, so the border overlaps the border of the
    header */
  margin-bottom: -1px;
}
.dirty-indicator {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator.fa-pull-right {
  margin-left: .3em;
}
.dirty-indicator.pull-left {
  margin-right: .3em;
}
.dirty-indicator.pull-right {
  margin-left: .3em;
}
.dirty-indicator-dirty {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator-dirty.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator-dirty.fa-pull-right {
  margin-left: .3em;
}
.dirty-indicator-dirty.pull-left {
  margin-right: .3em;
}
.dirty-indicator-dirty.pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator-clean.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean.fa-pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean.pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean.pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f00c";
}
.dirty-indicator-clean:before.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean:before.fa-pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean:before.pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean:before.pull-right {
  margin-left: .3em;
}
#filename {
  font-size: 16pt;
  display: table;
  padding: 0px 5px;
}
#current-mode {
  padding-left: 5px;
  padding-right: 5px;
}
#texteditor-backdrop {
  padding-top: 20px;
  padding-bottom: 20px;
}
@media not print {
  #texteditor-backdrop {
    background-color: #EEE;
  }
}
@media print {
  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #fff;
  }
}
@media not print {
  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #fff;
  }
}
@media not print {
  #texteditor-backdrop #texteditor-container {
    padding: 0px;
    background-color: #fff;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
.CodeMirror-dialog {
  background-color: #fff;
}
/*!
*
* IPython notebook
*
*/
/* CSS font colors for translated ANSI escape sequences */
/* The color values are a mix of
   http://www.xcolors.net/dl/baskerville-ivorylight and
   http://www.xcolors.net/dl/euphrasia */
.ansi-black-fg {
  color: #3E424D;
}
.ansi-black-bg {
  background-color: #3E424D;
}
.ansi-black-intense-fg {
  color: #282C36;
}
.ansi-black-intense-bg {
  background-color: #282C36;
}
.ansi-red-fg {
  color: #E75C58;
}
.ansi-red-bg {
  background-color: #E75C58;
}
.ansi-red-intense-fg {
  color: #B22B31;
}
.ansi-red-intense-bg {
  background-color: #B22B31;
}
.ansi-green-fg {
  color: #00A250;
}
.ansi-green-bg {
  background-color: #00A250;
}
.ansi-green-intense-fg {
  color: #007427;
}
.ansi-green-intense-bg {
  background-color: #007427;
}
.ansi-yellow-fg {
  color: #DDB62B;
}
.ansi-yellow-bg {
  background-color: #DDB62B;
}
.ansi-yellow-intense-fg {
  color: #B27D12;
}
.ansi-yellow-intense-bg {
  background-color: #B27D12;
}
.ansi-blue-fg {
  color: #208FFB;
}
.ansi-blue-bg {
  background-color: #208FFB;
}
.ansi-blue-intense-fg {
  color: #0065CA;
}
.ansi-blue-intense-bg {
  background-color: #0065CA;
}
.ansi-magenta-fg {
  color: #D160C4;
}
.ansi-magenta-bg {
  background-color: #D160C4;
}
.ansi-magenta-intense-fg {
  color: #A03196;
}
.ansi-magenta-intense-bg {
  background-color: #A03196;
}
.ansi-cyan-fg {
  color: #60C6C8;
}
.ansi-cyan-bg {
  background-color: #60C6C8;
}
.ansi-cyan-intense-fg {
  color: #258F8F;
}
.ansi-cyan-intense-bg {
  background-color: #258F8F;
}
.ansi-white-fg {
  color: #C5C1B4;
}
.ansi-white-bg {
  background-color: #C5C1B4;
}
.ansi-white-intense-fg {
  color: #A1A6B2;
}
.ansi-white-intense-bg {
  background-color: #A1A6B2;
}
.ansi-default-inverse-fg {
  color: #FFFFFF;
}
.ansi-default-inverse-bg {
  background-color: #000000;
}
.ansi-bold {
  font-weight: bold;
}
.ansi-underline {
  text-decoration: underline;
}
/* The following styles are deprecated an will be removed in a future version */
.ansibold {
  font-weight: bold;
}
.ansi-inverse {
  outline: 0.5px dotted;
}
/* use dark versions for foreground, to improve visibility */
.ansiblack {
  color: black;
}
.ansired {
  color: darkred;
}
.ansigreen {
  color: darkgreen;
}
.ansiyellow {
  color: #c4a000;
}
.ansiblue {
  color: darkblue;
}
.ansipurple {
  color: darkviolet;
}
.ansicyan {
  color: steelblue;
}
.ansigray {
  color: gray;
}
/* and light for background, for the same reason */
.ansibgblack {
  background-color: black;
}
.ansibgred {
  background-color: red;
}
.ansibggreen {
  background-color: green;
}
.ansibgyellow {
  background-color: yellow;
}
.ansibgblue {
  background-color: blue;
}
.ansibgpurple {
  background-color: magenta;
}
.ansibgcyan {
  background-color: cyan;
}
.ansibggray {
  background-color: gray;
}
div.cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  border-radius: 2px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  border-width: 1px;
  border-style: solid;
  border-color: transparent;
  width: 100%;
  padding: 5px;
  /* This acts as a spacer between cells, that is outside the border */
  margin: 0px;
  outline: none;
  position: relative;
  overflow: visible;
}
div.cell:before {
  position: absolute;
  display: block;
  top: -1px;
  left: -1px;
  width: 5px;
  height: calc(100% +  2px);
  content: '';
  background: transparent;
}
div.cell.jupyter-soft-selected {
  border-left-color: #E3F2FD;
  border-left-width: 1px;
  padding-left: 5px;
  border-right-color: #E3F2FD;
  border-right-width: 1px;
  background: #E3F2FD;
}
@media print {
  div.cell.jupyter-soft-selected {
    border-color: transparent;
  }
}
div.cell.selected,
div.cell.selected.jupyter-soft-selected {
  border-color: #ababab;
}
div.cell.selected:before,
div.cell.selected.jupyter-soft-selected:before {
  position: absolute;
  display: block;
  top: -1px;
  left: -1px;
  width: 5px;
  height: calc(100% +  2px);
  content: '';
  background: #42A5F5;
}
@media print {
  div.cell.selected,
  div.cell.selected.jupyter-soft-selected {
    border-color: transparent;
  }
}
.edit_mode div.cell.selected {
  border-color: #66BB6A;
}
.edit_mode div.cell.selected:before {
  position: absolute;
  display: block;
  top: -1px;
  left: -1px;
  width: 5px;
  height: calc(100% +  2px);
  content: '';
  background: #66BB6A;
}
@media print {
  .edit_mode div.cell.selected {
    border-color: transparent;
  }
}
.prompt {
  /* This needs to be wide enough for 3 digit prompt numbers: In[100]: */
  min-width: 14ex;
  /* This padding is tuned to match the padding on the CodeMirror editor. */
  padding: 0.4em;
  margin: 0px;
  font-family: monospace;
  text-align: right;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
  /* Don't highlight prompt number selection */
  -webkit-touch-callout: none;
  -webkit-user-select: none;
  -khtml-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
  /* Use default cursor */
  cursor: default;
}
@media (max-width: 540px) {
  .prompt {
    text-align: left;
  }
}
div.inner_cell {
  min-width: 0;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
/* input_area and input_prompt must match in top border and margin for alignment */
div.input_area {
  border: 1px solid #cfcfcf;
  border-radius: 2px;
  background: #f7f7f7;
  line-height: 1.21429em;
}
/* This is needed so that empty prompt areas can collapse to zero height when there
   is no content in the output_subarea and the prompt. The main purpose of this is
   to make sure that empty JavaScript output_subareas have no height. */
div.prompt:empty {
  padding-top: 0;
  padding-bottom: 0;
}
div.unrecognized_cell {
  padding: 5px 5px 5px 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.unrecognized_cell .inner_cell {
  border-radius: 2px;
  padding: 5px;
  font-weight: bold;
  color: red;
  border: 1px solid #cfcfcf;
  background: #eaeaea;
}
div.unrecognized_cell .inner_cell a {
  color: inherit;
  text-decoration: none;
}
div.unrecognized_cell .inner_cell a:hover {
  color: inherit;
  text-decoration: none;
}
@media (max-width: 540px) {
  div.unrecognized_cell > div.prompt {
    display: none;
  }
}
div.code_cell {
  /* avoid page breaking on code cells when printing */
}
@media print {
  div.code_cell {
    page-break-inside: avoid;
  }
}
/* any special styling for code cells that are currently running goes here */
div.input {
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.input {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
/* input_area and input_prompt must match in top border and margin for alignment */
div.input_prompt {
  color: #303F9F;
  border-top: 1px solid transparent;
}
div.input_area > div.highlight {
  margin: 0.4em;
  border: none;
  padding: 0px;
  background-color: transparent;
}
div.input_area > div.highlight > pre {
  margin: 0px;
  border: none;
  padding: 0px;
  background-color: transparent;
}
/* The following gets added to the <head> if it is detected that the user has a
 * monospace font with inconsistent normal/bold/italic height.  See
 * notebookmain.js.  Such fonts will have keywords vertically offset with
 * respect to the rest of the text.  The user should select a better font.
 * See: https://github.com/ipython/ipython/issues/1503
 *
 * .CodeMirror span {
 *      vertical-align: bottom;
 * }
 */
.CodeMirror {
  line-height: 1.21429em;
  /* Changed from 1em to our global default */
  font-size: 14px;
  height: auto;
  /* Changed to auto to autogrow */
  background: none;
  /* Changed from white to allow our bg to show through */
}
.CodeMirror-scroll {
  /*  The CodeMirror docs are a bit fuzzy on if overflow-y should be hidden or visible.*/
  /*  We have found that if it is visible, vertical scrollbars appear with font size changes.*/
  overflow-y: hidden;
  overflow-x: auto;
}
.CodeMirror-lines {
  /* In CM2, this used to be 0.4em, but in CM3 it went to 4px. We need the em value because */
  /* we have set a different line-height and want this to scale with that. */
  /* Note that this should set vertical padding only, since CodeMirror assumes
       that horizontal padding will be set on CodeMirror pre */
  padding: 0.4em 0;
}
.CodeMirror-linenumber {
  padding: 0 8px 0 4px;
}
.CodeMirror-gutters {
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.CodeMirror pre {
  /* In CM3 this went to 4px from 0 in CM2. This sets horizontal padding only,
    use .CodeMirror-lines for vertical */
  padding: 0 0.4em;
  border: 0;
  border-radius: 0;
}
.CodeMirror-cursor {
  border-left: 1.4px solid black;
}
@media screen and (min-width: 2138px) and (max-width: 4319px) {
  .CodeMirror-cursor {
    border-left: 2px solid black;
  }
}
@media screen and (min-width: 4320px) {
  .CodeMirror-cursor {
    border-left: 4px solid black;
  }
}
/*

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

*/
.highlight-base {
  color: #000;
}
.highlight-variable {
  color: #000;
}
.highlight-variable-2 {
  color: #1a1a1a;
}
.highlight-variable-3 {
  color: #333333;
}
.highlight-string {
  color: #BA2121;
}
.highlight-comment {
  color: #408080;
  font-style: italic;
}
.highlight-number {
  color: #080;
}
.highlight-atom {
  color: #88F;
}
.highlight-keyword {
  color: #008000;
  font-weight: bold;
}
.highlight-builtin {
  color: #008000;
}
.highlight-error {
  color: #f00;
}
.highlight-operator {
  color: #AA22FF;
  font-weight: bold;
}
.highlight-meta {
  color: #AA22FF;
}
/* previously not defined, copying from default codemirror */
.highlight-def {
  color: #00f;
}
.highlight-string-2 {
  color: #f50;
}
.highlight-qualifier {
  color: #555;
}
.highlight-bracket {
  color: #997;
}
.highlight-tag {
  color: #170;
}
.highlight-attribute {
  color: #00c;
}
.highlight-header {
  color: blue;
}
.highlight-quote {
  color: #090;
}
.highlight-link {
  color: #00c;
}
/* apply the same style to codemirror */
.cm-s-ipython span.cm-keyword {
  color: #008000;
  font-weight: bold;
}
.cm-s-ipython span.cm-atom {
  color: #88F;
}
.cm-s-ipython span.cm-number {
  color: #080;
}
.cm-s-ipython span.cm-def {
  color: #00f;
}
.cm-s-ipython span.cm-variable {
  color: #000;
}
.cm-s-ipython span.cm-operator {
  color: #AA22FF;
  font-weight: bold;
}
.cm-s-ipython span.cm-variable-2 {
  color: #1a1a1a;
}
.cm-s-ipython span.cm-variable-3 {
  color: #333333;
}
.cm-s-ipython span.cm-comment {
  color: #408080;
  font-style: italic;
}
.cm-s-ipython span.cm-string {
  color: #BA2121;
}
.cm-s-ipython span.cm-string-2 {
  color: #f50;
}
.cm-s-ipython span.cm-meta {
  color: #AA22FF;
}
.cm-s-ipython span.cm-qualifier {
  color: #555;
}
.cm-s-ipython span.cm-builtin {
  color: #008000;
}
.cm-s-ipython span.cm-bracket {
  color: #997;
}
.cm-s-ipython span.cm-tag {
  color: #170;
}
.cm-s-ipython span.cm-attribute {
  color: #00c;
}
.cm-s-ipython span.cm-header {
  color: blue;
}
.cm-s-ipython span.cm-quote {
  color: #090;
}
.cm-s-ipython span.cm-link {
  color: #00c;
}
.cm-s-ipython span.cm-error {
  color: #f00;
}
.cm-s-ipython span.cm-tab {
  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
  background-position: right;
  background-repeat: no-repeat;
}
div.output_wrapper {
  /* this position must be relative to enable descendents to be absolute within it */
  position: relative;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  z-index: 1;
}
/* class for the output area when it should be height-limited */
div.output_scroll {
  /* ideally, this would be max-height, but FF barfs all over that */
  height: 24em;
  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
  width: 100%;
  overflow: auto;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  display: block;
}
/* output div while it is collapsed */
div.output_collapsed {
  margin: 0px;
  padding: 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
div.out_prompt_overlay {
  height: 100%;
  padding: 0px 0.4em;
  position: absolute;
  border-radius: 2px;
}
div.out_prompt_overlay:hover {
  /* use inner shadow to get border that is computed the same on WebKit/FF */
  -webkit-box-shadow: inset 0 0 1px #000;
  box-shadow: inset 0 0 1px #000;
  background: rgba(240, 240, 240, 0.5);
}
div.output_prompt {
  color: #D84315;
}
/* This class is the outer container of all output sections. */
div.output_area {
  padding: 0px;
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.output_area .MathJax_Display {
  text-align: left !important;
}
div.output_area .rendered_html table {
  margin-left: 0;
  margin-right: 0;
}
div.output_area .rendered_html img {
  margin-left: 0;
  margin-right: 0;
}
div.output_area img,
div.output_area svg {
  max-width: 100%;
  height: auto;
}
div.output_area img.unconfined,
div.output_area svg.unconfined {
  max-width: none;
}
div.output_area .mglyph > img {
  max-width: none;
}
/* This is needed to protect the pre formating from global settings such
   as that of bootstrap */
.output {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.output_area {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
div.output_area pre {
  margin: 0;
  padding: 1px 0 1px 0;
  border: 0;
  vertical-align: baseline;
  color: black;
  background-color: transparent;
  border-radius: 0;
}
/* This class is for the output subarea inside the output_area and after
   the prompt div. */
div.output_subarea {
  overflow-x: auto;
  padding: 0.4em;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
  max-width: calc(100% - 14ex);
}
div.output_scroll div.output_subarea {
  overflow-x: visible;
}
/* The rest of the output_* classes are for special styling of the different
   output types */
/* all text output has this class: */
div.output_text {
  text-align: left;
  color: #000;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
}
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
div.output_stderr {
  background: #fdd;
  /* very light red background for stderr */
}
div.output_latex {
  text-align: left;
}
/* Empty output_javascript divs should have no height */
div.output_javascript:empty {
  padding: 0;
}
.js-error {
  color: darkred;
}
/* raw_input styles */
div.raw_input_container {
  line-height: 1.21429em;
  padding-top: 5px;
}
pre.raw_input_prompt {
  /* nothing needed here. */
}
input.raw_input {
  font-family: monospace;
  font-size: inherit;
  color: inherit;
  width: auto;
  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;
  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0em 0.25em;
  margin: 0em 0.25em;
}
input.raw_input:focus {
  box-shadow: none;
}
p.p-space {
  margin-bottom: 10px;
}
div.output_unrecognized {
  padding: 5px;
  font-weight: bold;
  color: red;
}
div.output_unrecognized a {
  color: inherit;
  text-decoration: none;
}
div.output_unrecognized a:hover {
  color: inherit;
  text-decoration: none;
}
.rendered_html {
  color: #000;
  /* any extras will just be numbers: */
}
.rendered_html em {
  font-style: italic;
}
.rendered_html strong {
  font-weight: bold;
}
.rendered_html u {
  text-decoration: underline;
}
.rendered_html :link {
  text-decoration: underline;
}
.rendered_html :visited {
  text-decoration: underline;
}
.rendered_html h1 {
  font-size: 185.7%;
  margin: 1.08em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h2 {
  font-size: 157.1%;
  margin: 1.27em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h3 {
  font-size: 128.6%;
  margin: 1.55em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h4 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h5 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h6 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h1:first-child {
  margin-top: 0.538em;
}
.rendered_html h2:first-child {
  margin-top: 0.636em;
}
.rendered_html h3:first-child {
  margin-top: 0.777em;
}
.rendered_html h4:first-child {
  margin-top: 1em;
}
.rendered_html h5:first-child {
  margin-top: 1em;
}
.rendered_html h6:first-child {
  margin-top: 1em;
}
.rendered_html ul:not(.list-inline),
.rendered_html ol:not(.list-inline) {
  padding-left: 2em;
}
.rendered_html ul {
  list-style: disc;
}
.rendered_html ul ul {
  list-style: square;
  margin-top: 0;
}
.rendered_html ul ul ul {
  list-style: circle;
}
.rendered_html ol {
  list-style: decimal;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin-top: 0;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
}
.rendered_html * + ul {
  margin-top: 1em;
}
.rendered_html * + ol {
  margin-top: 1em;
}
.rendered_html hr {
  color: black;
  background-color: black;
}
.rendered_html pre {
  margin: 1em 2em;
  padding: 0px;
  background-color: #fff;
}
.rendered_html code {
  background-color: #eff0f1;
}
.rendered_html p code {
  padding: 1px 5px;
}
.rendered_html pre code {
  background-color: #fff;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  color: #000;
  font-size: 100%;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: none;
  border-collapse: collapse;
  border-spacing: 0;
  color: black;
  font-size: 12px;
  table-layout: fixed;
}
.rendered_html thead {
  border-bottom: 1px solid black;
  vertical-align: bottom;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  text-align: right;
  vertical-align: middle;
  padding: 0.5em 0.5em;
  line-height: normal;
  white-space: normal;
  max-width: none;
  border: none;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html tbody tr:nth-child(odd) {
  background: #f5f5f5;
}
.rendered_html tbody tr:hover {
  background: rgba(66, 165, 245, 0.2);
}
.rendered_html * + table {
  margin-top: 1em;
}
.rendered_html p {
  text-align: left;
}
.rendered_html * + p {
  margin-top: 1em;
}
.rendered_html img {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.rendered_html * + img {
  margin-top: 1em;
}
.rendered_html img,
.rendered_html svg {
  max-width: 100%;
  height: auto;
}
.rendered_html img.unconfined,
.rendered_html svg.unconfined {
  max-width: none;
}
.rendered_html .alert {
  margin-bottom: initial;
}
.rendered_html * + .alert {
  margin-top: 1em;
}
[dir="rtl"] .rendered_html p {
  text-align: right;
}
div.text_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.text_cell > div.prompt {
    display: none;
  }
}
div.text_cell_render {
  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
  outline: none;
  resize: none;
  width: inherit;
  border-style: none;
  padding: 0.5em 0.5em 0.5em 0.4em;
  color: #000;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
a.anchor-link:link {
  text-decoration: none;
  padding: 0px 20px;
  visibility: hidden;
}
h1:hover .anchor-link,
h2:hover .anchor-link,
h3:hover .anchor-link,
h4:hover .anchor-link,
h5:hover .anchor-link,
h6:hover .anchor-link {
  visibility: visible;
}
.text_cell.rendered .input_area {
  display: none;
}
.text_cell.rendered .rendered_html {
  overflow-x: auto;
  overflow-y: hidden;
}
.text_cell.rendered .rendered_html tr,
.text_cell.rendered .rendered_html th,
.text_cell.rendered .rendered_html td {
  max-width: none;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.text_cell .dropzone .input_area {
  border: 2px dashed #bababa;
  margin: -1px;
}
.cm-header-1,
.cm-header-2,
.cm-header-3,
.cm-header-4,
.cm-header-5,
.cm-header-6 {
  font-weight: bold;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.cm-header-1 {
  font-size: 185.7%;
}
.cm-header-2 {
  font-size: 157.1%;
}
.cm-header-3 {
  font-size: 128.6%;
}
.cm-header-4 {
  font-size: 110%;
}
.cm-header-5 {
  font-size: 100%;
  font-style: italic;
}
.cm-header-6 {
  font-size: 100%;
  font-style: italic;
}
/*!
*
* IPython notebook webapp
*
*/
@media (max-width: 767px) {
  .notebook_app {
    padding-left: 0px;
    padding-right: 0px;
  }
}
#ipython-main-app {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook_panel {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook {
  font-size: 14px;
  line-height: 20px;
  overflow-y: hidden;
  overflow-x: auto;
  width: 100%;
  /* This spaces the page away from the edge of the notebook area */
  padding-top: 20px;
  margin: 0px;
  outline: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  min-height: 100%;
}
@media not print {
  #notebook-container {
    padding: 15px;
    background-color: #fff;
    min-height: 0;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
@media print {
  #notebook-container {
    width: 100%;
  }
}
div.ui-widget-content {
  border: 1px solid #ababab;
  outline: none;
}
pre.dialog {
  background-color: #f7f7f7;
  border: 1px solid #ddd;
  border-radius: 2px;
  padding: 0.4em;
  padding-left: 2em;
}
p.dialog {
  padding: 0.2em;
}
/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
 */
pre,
code,
kbd,
samp {
  white-space: pre-wrap;
}
#fonttest {
  font-family: monospace;
}
p {
  margin-bottom: 0;
}
.end_space {
  min-height: 100px;
  transition: height .2s ease;
}
.notebook_app > #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
@media not print {
  .notebook_app {
    background-color: #EEE;
  }
}
kbd {
  border-style: solid;
  border-width: 1px;
  box-shadow: none;
  margin: 2px;
  padding-left: 2px;
  padding-right: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
.jupyter-keybindings {
  padding: 1px;
  line-height: 24px;
  border-bottom: 1px solid gray;
}
.jupyter-keybindings input {
  margin: 0;
  padding: 0;
  border: none;
}
.jupyter-keybindings i {
  padding: 6px;
}
.well code {
  background-color: #ffffff;
  border-color: #ababab;
  border-width: 1px;
  border-style: solid;
  padding: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
/* CSS for the cell toolbar */
.celltoolbar {
  border: thin solid #CFCFCF;
  border-bottom: none;
  background: #EEE;
  border-radius: 2px 2px 0px 0px;
  width: 100%;
  height: 29px;
  padding-right: 4px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
  display: -webkit-flex;
}
@media print {
  .celltoolbar {
    display: none;
  }
}
.ctb_hideshow {
  display: none;
  vertical-align: bottom;
}
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
   Cell toolbars are only shown when the ctb_global_show class is also set.
*/
.ctb_global_show .ctb_show.ctb_hideshow {
  display: block;
}
.ctb_global_show .ctb_show + .input_area,
.ctb_global_show .ctb_show + div.text_cell_input,
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border-top-right-radius: 0px;
  border-top-left-radius: 0px;
}
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border: 1px solid #cfcfcf;
}
.celltoolbar {
  font-size: 87%;
  padding-top: 3px;
}
.celltoolbar select {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  width: inherit;
  font-size: inherit;
  height: 22px;
  padding: 0px;
  display: inline-block;
}
.celltoolbar select:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.celltoolbar select::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.celltoolbar select:-ms-input-placeholder {
  color: #999;
}
.celltoolbar select::-webkit-input-placeholder {
  color: #999;
}
.celltoolbar select::-ms-expand {
  border: 0;
  background-color: transparent;
}
.celltoolbar select[disabled],
.celltoolbar select[readonly],
fieldset[disabled] .celltoolbar select {
  background-color: #eeeeee;
  opacity: 1;
}
.celltoolbar select[disabled],
fieldset[disabled] .celltoolbar select {
  cursor: not-allowed;
}
textarea.celltoolbar select {
  height: auto;
}
select.celltoolbar select {
  height: 30px;
  line-height: 30px;
}
textarea.celltoolbar select,
select[multiple].celltoolbar select {
  height: auto;
}
.celltoolbar label {
  margin-left: 5px;
  margin-right: 5px;
}
.tags_button_container {
  width: 100%;
  display: flex;
}
.tag-container {
  display: flex;
  flex-direction: row;
  flex-grow: 1;
  overflow: hidden;
  position: relative;
}
.tag-container > * {
  margin: 0 4px;
}
.remove-tag-btn {
  margin-left: 4px;
}
.tags-input {
  display: flex;
}
.cell-tag:last-child:after {
  content: "";
  position: absolute;
  right: 0;
  width: 40px;
  height: 100%;
  /* Fade to background color of cell toolbar */
  background: linear-gradient(to right, rgba(0, 0, 0, 0), #EEE);
}
.tags-input > * {
  margin-left: 4px;
}
.cell-tag,
.tags-input input,
.tags-input button {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  box-shadow: none;
  width: inherit;
  font-size: inherit;
  height: 22px;
  line-height: 22px;
  padding: 0px 4px;
  display: inline-block;
}
.cell-tag:focus,
.tags-input input:focus,
.tags-input button:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.cell-tag::-moz-placeholder,
.tags-input input::-moz-placeholder,
.tags-input button::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.cell-tag:-ms-input-placeholder,
.tags-input input:-ms-input-placeholder,
.tags-input button:-ms-input-placeholder {
  color: #999;
}
.cell-tag::-webkit-input-placeholder,
.tags-input input::-webkit-input-placeholder,
.tags-input button::-webkit-input-placeholder {
  color: #999;
}
.cell-tag::-ms-expand,
.tags-input input::-ms-expand,
.tags-input button::-ms-expand {
  border: 0;
  background-color: transparent;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
.cell-tag[readonly],
.tags-input input[readonly],
.tags-input button[readonly],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  background-color: #eeeeee;
  opacity: 1;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  cursor: not-allowed;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button {
  height: auto;
}
select.cell-tag,
select.tags-input input,
select.tags-input button {
  height: 30px;
  line-height: 30px;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button,
select[multiple].cell-tag,
select[multiple].tags-input input,
select[multiple].tags-input button {
  height: auto;
}
.cell-tag,
.tags-input button {
  padding: 0px 4px;
}
.cell-tag {
  background-color: #fff;
  white-space: nowrap;
}
.tags-input input[type=text]:focus {
  outline: none;
  box-shadow: none;
  border-color: #ccc;
}
.completions {
  position: absolute;
  z-index: 110;
  overflow: hidden;
  border: 1px solid #ababab;
  border-radius: 2px;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  line-height: 1;
}
.completions select {
  background: white;
  outline: none;
  border: none;
  padding: 0px;
  margin: 0px;
  overflow: auto;
  font-family: monospace;
  font-size: 110%;
  color: #000;
  width: auto;
}
.completions select option.context {
  color: #286090;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
[dir="rtl"] #kernel_logo_widget {
  float: left !important;
  float: left;
}
.modal .modal-body .move-path {
  display: flex;
  flex-direction: row;
  justify-content: space;
  align-items: center;
}
.modal .modal-body .move-path .server-root {
  padding-right: 20px;
}
.modal .modal-body .move-path .path-input {
  flex: 1;
}
#menubar {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  margin-top: 1px;
}
#menubar .navbar {
  border-top: 1px;
  border-radius: 0px 0px 2px 2px;
  margin-bottom: 0px;
}
#menubar .navbar-toggle {
  float: left;
  padding-top: 7px;
  padding-bottom: 7px;
  border: none;
}
#menubar .navbar-collapse {
  clear: left;
}
[dir="rtl"] #menubar .navbar-toggle {
  float: right;
}
[dir="rtl"] #menubar .navbar-collapse {
  clear: right;
}
[dir="rtl"] #menubar .navbar-nav {
  float: right;
}
[dir="rtl"] #menubar .nav {
  padding-right: 0px;
}
[dir="rtl"] #menubar .navbar-nav > li {
  float: right;
}
[dir="rtl"] #menubar .navbar-right {
  float: left !important;
}
[dir="rtl"] ul.dropdown-menu {
  text-align: right;
  left: auto;
}
[dir="rtl"] ul#new-menu.dropdown-menu {
  right: auto;
  left: 0;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
[dir="rtl"] i.menu-icon.pull-right {
  float: left !important;
  float: left;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
[dir="rtl"] ul#help_menu li a {
  padding-left: 2.2em;
}
[dir="rtl"] ul#help_menu li a i {
  margin-right: 0;
  margin-left: -1.2em;
}
[dir="rtl"] ul#help_menu li a i.pull-right {
  float: left !important;
  float: left;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
[dir="rtl"] .dropdown-submenu > .dropdown-menu {
  right: 100%;
  margin-right: -1px;
}
.dropdown-submenu:hover > .dropdown-menu {
  display: block;
}
.dropdown-submenu > a:after {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  display: block;
  content: "\f0da";
  float: right;
  color: #333333;
  margin-top: 2px;
  margin-right: -10px;
}
.dropdown-submenu > a:after.fa-pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.fa-pull-right {
  margin-left: .3em;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
[dir="rtl"] .dropdown-submenu > a:after {
  float: left;
  content: "\f0d9";
  margin-right: 0;
  margin-left: -10px;
}
.dropdown-submenu:hover > a:after {
  color: #262626;
}
.dropdown-submenu.pull-left {
  float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
  left: -100%;
  margin-left: 10px;
}
#notification_area {
  float: right !important;
  float: right;
  z-index: 10;
}
[dir="rtl"] #notification_area {
  float: left !important;
  float: left;
}
.indicator_area {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] .indicator_area {
  float: left !important;
  float: left;
}
#kernel_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  border-left: 1px solid;
}
#kernel_indicator .kernel_indicator_name {
  padding-left: 5px;
  padding-right: 5px;
}
[dir="rtl"] #kernel_indicator {
  float: left !important;
  float: left;
  border-left: 0;
  border-right: 1px solid;
}
#modal_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] #modal_indicator {
  float: left !important;
  float: left;
}
#readonly-indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  margin-top: 2px;
  margin-bottom: 0px;
  margin-left: 0px;
  margin-right: 0px;
  display: none;
}
.modal_indicator:before {
  width: 1.28571429em;
  text-align: center;
}
.edit_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f040";
}
.edit_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.edit_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: ' ';
}
.command_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f10c";
}
.kernel_idle_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f111";
}
.kernel_busy_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f1e2";
}
.kernel_dead_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f127";
}
.kernel_disconnected_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.pull-right {
  margin-left: .3em;
}
.notification_widget {
  color: #777;
  z-index: 10;
  background: rgba(240, 240, 240, 0.5);
  margin-right: 4px;
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget:focus,
.notification_widget.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.notification_widget:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active:hover,
.notification_widget.active:hover,
.open > .dropdown-toggle.notification_widget:hover,
.notification_widget:active:focus,
.notification_widget.active:focus,
.open > .dropdown-toggle.notification_widget:focus,
.notification_widget:active.focus,
.notification_widget.active.focus,
.open > .dropdown-toggle.notification_widget.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  background-image: none;
}
.notification_widget.disabled:hover,
.notification_widget[disabled]:hover,
fieldset[disabled] .notification_widget:hover,
.notification_widget.disabled:focus,
.notification_widget[disabled]:focus,
fieldset[disabled] .notification_widget:focus,
.notification_widget.disabled.focus,
.notification_widget[disabled].focus,
fieldset[disabled] .notification_widget.focus {
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget .badge {
  color: #fff;
  background-color: #333;
}
.notification_widget.warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning:focus,
.notification_widget.warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.notification_widget.warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active:hover,
.notification_widget.warning.active:hover,
.open > .dropdown-toggle.notification_widget.warning:hover,
.notification_widget.warning:active:focus,
.notification_widget.warning.active:focus,
.open > .dropdown-toggle.notification_widget.warning:focus,
.notification_widget.warning:active.focus,
.notification_widget.warning.active.focus,
.open > .dropdown-toggle.notification_widget.warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  background-image: none;
}
.notification_widget.warning.disabled:hover,
.notification_widget.warning[disabled]:hover,
fieldset[disabled] .notification_widget.warning:hover,
.notification_widget.warning.disabled:focus,
.notification_widget.warning[disabled]:focus,
fieldset[disabled] .notification_widget.warning:focus,
.notification_widget.warning.disabled.focus,
.notification_widget.warning[disabled].focus,
fieldset[disabled] .notification_widget.warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.notification_widget.success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success:focus,
.notification_widget.success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.notification_widget.success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active:hover,
.notification_widget.success.active:hover,
.open > .dropdown-toggle.notification_widget.success:hover,
.notification_widget.success:active:focus,
.notification_widget.success.active:focus,
.open > .dropdown-toggle.notification_widget.success:focus,
.notification_widget.success:active.focus,
.notification_widget.success.active.focus,
.open > .dropdown-toggle.notification_widget.success.focus {
  color: #fff;
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<h1 id="CoNNear:-A-convolutional-neural-network-model-of-human-cochlear-mechanics-and-filter-tuning-for-real-time-applications"><em>CoNNear</em>: A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications<a class="anchor-link" href="#CoNNear:-A-convolutional-neural-network-model-of-human-cochlear-mechanics-and-filter-tuning-for-real-time-applications">&#182;</a></h1><p>Python notebook for reproducing the evaluation results of the proposed CoNNear model.</p>

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<h2 id="Prerequisites">Prerequisites<a class="anchor-link" href="#Prerequisites">&#182;</a></h2><ul>
<li>First, let us compile the cochlea_utils.c file that is used for solving the transmission line (TL) model of the cochlea. This requires some C++ compiler which should be installed beforehand. Then go the connear folder from the terminal and run:
<pre><code>gcc -shared -fpic -O3 -ffast-math -o tridiag.so cochlea_utils.c</code></pre>
</li>
<li><p>Install numpy, scipy, keras and tensorflow</p>
</li>
<li><p>If running on google colab: add the following as a code block and run it to compile cochlea_utils.c in the runtime machine.</p>

<pre><code>!gcc -shared -fpic -O3 -ffast-math -o tridiag.so cochlea_utils.c</code></pre>
</li>
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<h2 id="Import-required-python-packages-and-functions">Import required python packages and functions<a class="anchor-link" href="#Import-required-python-packages-and-functions">&#182;</a></h2><p>Import required python packages and load the connear model.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
<span class="c1">#os.add_dll_directory(os.getcwd())</span>

<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">from</span> <span class="nn">scipy</span> <span class="kn">import</span> <span class="n">signal</span>
<span class="kn">import</span> <span class="nn">scipy.signal</span> <span class="k">as</span> <span class="nn">sp_sig</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">import</span> <span class="nn">keras</span>
<span class="kn">from</span> <span class="nn">keras.models</span> <span class="kn">import</span> <span class="n">model_from_json</span>
<span class="kn">from</span> <span class="nn">keras.utils</span> <span class="kn">import</span> <span class="n">CustomObjectScope</span>
<span class="kn">from</span> <span class="nn">keras.initializers</span> <span class="kn">import</span> <span class="n">glorot_uniform</span>

<span class="kn">from</span> <span class="nn">tlmodel.get_tl_vbm_and_oae</span> <span class="kn">import</span> <span class="n">tl_vbm_and_oae</span>
<span class="kn">from</span> <span class="nn">helper_ops</span> <span class="kn">import</span> <span class="o">*</span>

<span class="n">json_file</span> <span class="o">=</span> <span class="nb">open</span><span class="p">(</span><span class="s2">&quot;connear/Gmodel.json&quot;</span><span class="p">,</span> <span class="s2">&quot;r&quot;</span><span class="p">)</span>
<span class="n">loaded_model_json</span> <span class="o">=</span> <span class="n">json_file</span><span class="o">.</span><span class="n">read</span><span class="p">()</span>
<span class="n">json_file</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
<span class="k">with</span> <span class="n">CustomObjectScope</span><span class="p">({</span><span class="s1">&#39;GlorotUniform&#39;</span><span class="p">:</span> <span class="n">glorot_uniform</span><span class="p">()}):</span>    
    <span class="n">connear</span> <span class="o">=</span> <span class="n">model_from_json</span><span class="p">(</span><span class="n">loaded_model_json</span><span class="p">)</span>
<span class="k">with</span> <span class="n">CustomObjectScope</span><span class="p">({</span><span class="s1">&#39;GlorotUniform&#39;</span><span class="p">:</span> <span class="n">glorot_uniform</span><span class="p">()}):</span>
     <span class="n">connear</span><span class="o">.</span><span class="n">load_weights</span><span class="p">(</span><span class="s2">&quot;connear/Gmodel.h5&quot;</span><span class="p">)</span>
<span class="n">connear</span><span class="o">.</span><span class="n">summary</span><span class="p">()</span>
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<pre>Model: &#34;model_2&#34;
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
audio_input (InputLayer)     (None, None, 1)           0         
_________________________________________________________________
model_1 (Model)              (None, None, 201)         11689984  
=================================================================
Total params: 11,689,984
Trainable params: 11,689,984
Non-trainable params: 0
_________________________________________________________________
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<p>Define parameters</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Define model specific variables</span>
<span class="n">down_rate</span> <span class="o">=</span> <span class="mi">2</span>
<span class="n">fs</span> <span class="o">=</span> <span class="mf">20e3</span>
<span class="n">fs_tl</span> <span class="o">=</span> <span class="mf">100e3</span>
<span class="n">factor_fs</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">fs_tl</span> <span class="o">/</span> <span class="n">fs</span><span class="p">)</span>
<span class="n">p0</span> <span class="o">=</span> <span class="mf">2e-5</span>
<span class="n">right_context</span> <span class="o">=</span> <span class="mi">256</span>
<span class="n">left_context</span> <span class="o">=</span> <span class="mi">256</span>
<span class="c1"># load CFs </span>
<span class="n">CF</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">loadtxt</span><span class="p">(</span><span class="s1">&#39;tlmodel/cf.txt&#39;</span><span class="p">)</span>
<span class="n">channels</span> <span class="o">=</span> <span class="n">CF</span><span class="o">.</span><span class="n">size</span> 
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<h2 id="Click-response">Click response<a class="anchor-link" href="#Click-response">&#182;</a></h2><p>Compare the responses of the models to a click stimulus.<br>
<strong>Notice that for all the simulations, TL model operates at 100kHz and the CoNNear model operates at 20kHz.</strong></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Define the click stimulus</span>
<span class="n">dur</span> <span class="o">=</span> <span class="mf">128.0e-3</span> <span class="c1"># for 2560 samples (2048 window length, 2x256 context)</span>
<span class="n">stim</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span> <span class="nb">int</span><span class="p">(</span><span class="n">dur</span> <span class="o">*</span> <span class="n">fs</span><span class="p">)))</span>
<span class="n">L</span> <span class="o">=</span> <span class="mf">70.0</span>
<span class="n">samples</span> <span class="o">=</span> <span class="n">dur</span> <span class="o">*</span> <span class="n">fs</span>
<span class="n">click_duration</span> <span class="o">=</span> <span class="mi">2</span> <span class="c1"># 100 us click</span>
<span class="n">click_duration_tl</span> <span class="o">=</span> <span class="n">factor_fs</span> <span class="o">*</span> <span class="n">click_duration</span>  
<span class="n">silence</span> <span class="o">=</span> <span class="mi">60</span> <span class="c1">#samples in silence</span>
<span class="n">samples</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">samples</span> <span class="o">-</span> <span class="n">right_context</span> <span class="o">-</span> <span class="n">left_context</span><span class="p">)</span>

<span class="c1">################# TL ##########################################</span>
<span class="n">stim</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span> <span class="p">(</span><span class="n">samples</span> <span class="o">+</span> <span class="n">right_context</span> <span class="o">+</span> <span class="n">left_context</span><span class="p">)</span><span class="o">*</span><span class="n">factor_fs</span><span class="p">))</span>
<span class="n">stim</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="p">(</span><span class="n">factor_fs</span> <span class="o">*</span> <span class="p">(</span><span class="n">right_context</span><span class="o">+</span><span class="n">silence</span><span class="p">))</span> <span class="p">:</span> <span class="p">(</span><span class="n">factor_fs</span> <span class="o">*</span> <span class="p">(</span><span class="n">right_context</span><span class="o">+</span><span class="n">silence</span><span class="p">))</span> <span class="o">+</span> <span class="n">click_duration_tl</span><span class="p">]</span> <span class="o">=</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span> <span class="o">*</span> <span class="n">p0</span> <span class="o">*</span> <span class="mi">10</span><span class="o">**</span><span class="p">(</span><span class="n">L</span><span class="o">/</span><span class="mi">20</span><span class="p">)</span>

<span class="n">output</span> <span class="o">=</span> <span class="n">tl_vbm_and_oae</span><span class="p">(</span><span class="n">stim</span> <span class="p">,</span> <span class="n">L</span><span class="p">)</span>
<span class="n">CF_tl_full</span> <span class="o">=</span> <span class="n">output</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="s1">&#39;cf&#39;</span><span class="p">]</span>
<span class="n">channels_tl</span> <span class="o">=</span> <span class="n">CF_tl_full</span><span class="o">.</span><span class="n">size</span>
<span class="n">CF_tl</span> <span class="o">=</span> <span class="n">CF_tl_full</span><span class="p">[::</span><span class="n">down_rate</span><span class="p">]</span>
<span class="c1"># basilar membrane motion for click response, the context samples (first and last 256 samples) are removed. Also downsample it to 20kHz</span>
<span class="n">bmm_click_out_full</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">output</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="s1">&#39;v&#39;</span><span class="p">])</span>
<span class="n">stimrange</span> <span class="o">=</span> <span class="nb">range</span><span class="p">(</span><span class="n">right_context</span><span class="o">*</span><span class="n">factor_fs</span><span class="p">,</span> <span class="p">(</span><span class="n">right_context</span><span class="o">*</span><span class="n">factor_fs</span><span class="p">)</span> <span class="o">+</span> <span class="p">(</span><span class="n">factor_fs</span><span class="o">*</span><span class="n">samples</span><span class="p">))</span>
<span class="n">bmm_click_tl</span> <span class="o">=</span> <span class="n">sp_sig</span><span class="o">.</span><span class="n">resample_poly</span><span class="p">(</span><span class="n">output</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="s1">&#39;v&#39;</span><span class="p">][</span><span class="n">stimrange</span><span class="p">,::</span><span class="n">down_rate</span><span class="p">],</span> <span class="n">fs</span><span class="p">,</span> <span class="n">fs_tl</span><span class="p">)</span>
<span class="n">bmm_click_tl</span> <span class="o">=</span> <span class="n">bmm_click_tl</span><span class="o">.</span><span class="n">T</span> 

<span class="c1">################ CoNNear ####################################</span>
<span class="n">stim</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span> <span class="nb">int</span><span class="p">(</span><span class="n">dur</span> <span class="o">*</span> <span class="n">fs</span><span class="p">)))</span>
<span class="n">stim</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="n">right_context</span> <span class="o">+</span> <span class="n">silence</span> <span class="p">:</span> <span class="n">right_context</span> <span class="o">+</span> <span class="n">silence</span> <span class="o">+</span> <span class="n">click_duration</span><span class="p">]</span> <span class="o">=</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span> <span class="o">*</span> <span class="n">p0</span> <span class="o">*</span> <span class="mi">10</span><span class="o">**</span><span class="p">(</span><span class="n">L</span><span class="o">/</span><span class="mi">20</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">expand_dims</span><span class="p">(</span><span class="n">stim</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">connear_pred_click</span> <span class="o">=</span> <span class="n">connear</span><span class="o">.</span><span class="n">predict</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">verbose</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">bmm_click_connear</span> <span class="o">=</span> <span class="n">connear_pred_click</span><span class="p">[</span><span class="mi">0</span><span class="p">,:,:]</span><span class="o">.</span><span class="n">T</span> <span class="o">*</span> <span class="mf">1e-6</span>
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<pre>running human auditory model 2018: Verhulst, Altoe, Vasilkov
cochlear simulation: done
1/1 [==============================] - 1s 559ms/step
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<p>Plotting the results.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">################ Plots ######################################</span>
<span class="c1">#Plot input stimulus</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">stim</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">256</span><span class="p">:</span><span class="o">-</span><span class="mi">256</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="mi">2000</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>

<span class="c1"># Plot the TL response</span>
<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">bmm_click_tl</span><span class="p">,</span> <span class="n">aspect</span><span class="o">=</span><span class="s1">&#39;auto&#39;</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">&#39;jet&#39;</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="mi">2000</span><span class="p">),</span> <span class="n">plt</span><span class="o">.</span><span class="n">clim</span><span class="p">(</span><span class="o">-</span><span class="mf">4e-7</span><span class="p">,</span><span class="mf">5e-7</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>

<span class="c1"># Plot the CoNNear response</span>
<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">bmm_click_connear</span><span class="p">,</span> <span class="n">aspect</span><span class="o">=</span><span class="s1">&#39;auto&#39;</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">&#39;jet&#39;</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="mi">2000</span><span class="p">),</span> <span class="n">plt</span><span class="o">.</span><span class="n">clim</span><span class="p">(</span><span class="o">-</span><span class="mf">4e-7</span><span class="p">,</span><span class="mf">5e-7</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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<h2 id="Cochlear-Excitation-Patterns">Cochlear Excitation Patterns<a class="anchor-link" href="#Cochlear-Excitation-Patterns">&#182;</a></h2><p>Here, we plot the simulated RMS levels of basilar memberane (BM) displacement across CF for tone stimuli presented at SPLs between 0 and 90 dB SPL.</p>
<p><strong>You can change the <code>f_tone</code> variable to have tone stimuli of different frequencies, say 500Hz, 1kHz, 2kHz, etc..</strong></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">f_tone</span> <span class="o">=</span> <span class="mf">1e3</span> <span class="c1"># You can change this tone frequency to see how the excitation pattern changes with stimulus frequency</span>
<span class="n">dur</span> <span class="o">=</span> <span class="mf">102.4e-3</span> <span class="c1"># for 2048 samples</span>
<span class="n">window_len</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">fs</span> <span class="o">*</span> <span class="n">dur</span><span class="p">)</span>
<span class="n">L</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="mf">0.</span><span class="p">,</span> <span class="mf">91.0</span><span class="p">,</span> <span class="mf">10.</span><span class="p">)</span> <span class="c1"># SPLs from 0 to 90dB</span>
<span class="n">total_length</span> <span class="o">=</span> <span class="n">window_len</span> <span class="o">+</span> <span class="n">right_context</span> <span class="o">+</span> <span class="n">left_context</span> <span class="c1">#total length = 2560</span>

<span class="c1">################# TL ##########################################</span>
<span class="n">t</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="mf">0.</span><span class="p">,</span> <span class="n">dur</span><span class="p">,</span> <span class="mf">1.</span><span class="o">/</span><span class="n">fs_tl</span><span class="p">)</span>
<span class="n">hanlength</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="mf">10e-3</span> <span class="o">*</span> <span class="n">fs_tl</span><span class="p">)</span> 
<span class="n">stim_sin</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="mi">2</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">pi</span> <span class="o">*</span> <span class="n">f_tone</span> <span class="o">*</span> <span class="n">t</span><span class="p">)</span>
<span class="n">han</span> <span class="o">=</span> <span class="n">signal</span><span class="o">.</span><span class="n">hanning</span><span class="p">(</span><span class="n">hanlength</span><span class="p">)</span>
<span class="n">stim_sin</span><span class="p">[:</span><span class="nb">int</span><span class="p">(</span><span class="n">hanlength</span><span class="o">/</span><span class="mi">2</span><span class="p">)]</span> <span class="o">=</span> <span class="n">stim_sin</span><span class="p">[:</span><span class="nb">int</span><span class="p">(</span><span class="n">hanlength</span><span class="o">/</span><span class="mi">2</span><span class="p">)]</span> <span class="o">*</span> <span class="n">han</span><span class="p">[:</span><span class="nb">int</span><span class="p">(</span><span class="n">hanlength</span><span class="o">/</span><span class="mi">2</span><span class="p">)]</span>
<span class="n">stim_sin</span><span class="p">[</span><span class="o">-</span><span class="nb">int</span><span class="p">(</span><span class="n">hanlength</span><span class="o">/</span><span class="mi">2</span><span class="p">):]</span> <span class="o">=</span> <span class="n">stim_sin</span><span class="p">[</span><span class="o">-</span><span class="nb">int</span><span class="p">(</span><span class="n">hanlength</span><span class="o">/</span><span class="mi">2</span><span class="p">):]</span> <span class="o">*</span> <span class="n">han</span><span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">hanlength</span><span class="o">/</span><span class="mi">2</span><span class="p">):]</span>
<span class="n">total_length_tl</span> <span class="o">=</span> <span class="n">factor_fs</span> <span class="o">*</span> <span class="n">total_length</span>
<span class="n">stim</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">),</span> <span class="n">total_length_tl</span><span class="p">))</span>
<span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">)):</span>
    <span class="n">stim</span><span class="p">[</span><span class="n">j</span><span class="p">,</span> <span class="n">factor_fs</span><span class="o">*</span><span class="n">right_context</span><span class="p">:</span><span class="n">factor_fs</span><span class="o">*</span><span class="p">(</span><span class="n">window_len</span><span class="o">+</span><span class="n">right_context</span><span class="p">)]</span> <span class="o">=</span> <span class="n">p0</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span> <span class="o">*</span> <span class="mi">10</span><span class="o">**</span><span class="p">(</span><span class="n">L</span><span class="p">[</span><span class="n">j</span><span class="p">]</span><span class="o">/</span><span class="mi">20</span><span class="p">)</span> <span class="o">*</span> <span class="n">stim_sin</span>
<span class="n">output</span> <span class="o">=</span> <span class="n">tl_vbm_and_oae</span><span class="p">(</span><span class="n">stim</span><span class="p">,</span> <span class="n">L</span><span class="p">)</span>

<span class="n">tl_target_tone_full</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">),</span> <span class="n">total_length_tl</span><span class="p">,</span><span class="n">channels_tl</span><span class="p">))</span>
<span class="n">tl_target_tone</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">),</span> <span class="n">window_len</span><span class="p">,</span><span class="n">channels</span><span class="p">))</span>
<span class="n">stimrange</span> <span class="o">=</span> <span class="nb">range</span><span class="p">(</span><span class="n">right_context</span><span class="o">*</span><span class="n">factor_fs</span><span class="p">,</span> <span class="p">(</span><span class="n">right_context</span><span class="o">*</span><span class="n">factor_fs</span><span class="p">)</span> <span class="o">+</span> <span class="p">(</span><span class="n">factor_fs</span><span class="o">*</span><span class="n">samples</span><span class="p">))</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">)):</span>
    <span class="n">tl_target_tone_full</span><span class="p">[</span><span class="n">i</span><span class="p">,:,:]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">output</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="s1">&#39;v&#39;</span><span class="p">])</span>
    <span class="n">tl_target_tone</span><span class="p">[</span><span class="n">i</span><span class="p">,:,:]</span> <span class="o">=</span> <span class="n">sp_sig</span><span class="o">.</span><span class="n">resample_poly</span><span class="p">(</span><span class="n">output</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="s1">&#39;v&#39;</span><span class="p">][</span><span class="n">stimrange</span><span class="p">,::</span><span class="n">down_rate</span><span class="p">],</span> <span class="n">fs</span><span class="p">,</span> <span class="n">fs_tl</span><span class="p">)</span>
    <span class="n">tl_target_tone</span><span class="p">[</span><span class="n">i</span><span class="p">,:,:]</span> <span class="o">=</span> <span class="n">tl_target_tone</span><span class="p">[</span><span class="n">i</span><span class="p">,:,:]</span> <span class="o">*</span> <span class="mf">1e6</span>  
<span class="n">tl_target_tone_rms</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">vstack</span><span class="p">([</span><span class="n">rms</span><span class="p">(</span><span class="n">tl_target_tone</span><span class="p">[</span><span class="n">i</span><span class="p">])</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">))])</span>

<span class="c1">################ CoNNear ####################################</span>
<span class="n">t</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="mf">0.</span><span class="p">,</span> <span class="n">dur</span><span class="p">,</span> <span class="mf">1.</span><span class="o">/</span><span class="n">fs</span><span class="p">)</span>
<span class="n">hanlength</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="mf">10e-3</span> <span class="o">*</span> <span class="n">fs</span><span class="p">)</span> <span class="c1"># 10ms length hanning window</span>
<span class="n">stim_sin</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="mi">2</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">pi</span> <span class="o">*</span> <span class="n">f_tone</span> <span class="o">*</span> <span class="n">t</span><span class="p">)</span>
<span class="n">han</span> <span class="o">=</span> <span class="n">signal</span><span class="o">.</span><span class="n">windows</span><span class="o">.</span><span class="n">hann</span><span class="p">(</span><span class="n">hanlength</span><span class="p">)</span>
<span class="n">stim_sin</span><span class="p">[:</span><span class="nb">int</span><span class="p">(</span><span class="n">hanlength</span><span class="o">/</span><span class="mi">2</span><span class="p">)]</span> <span class="o">=</span> <span class="n">stim_sin</span><span class="p">[:</span><span class="nb">int</span><span class="p">(</span><span class="n">hanlength</span><span class="o">/</span><span class="mi">2</span><span class="p">)]</span> <span class="o">*</span> <span class="n">han</span><span class="p">[:</span><span class="nb">int</span><span class="p">(</span><span class="n">hanlength</span><span class="o">/</span><span class="mi">2</span><span class="p">)]</span>
<span class="n">stim_sin</span><span class="p">[</span><span class="o">-</span><span class="nb">int</span><span class="p">(</span><span class="n">hanlength</span><span class="o">/</span><span class="mi">2</span><span class="p">):]</span> <span class="o">=</span> <span class="n">stim_sin</span><span class="p">[</span><span class="o">-</span><span class="nb">int</span><span class="p">(</span><span class="n">hanlength</span><span class="o">/</span><span class="mi">2</span><span class="p">):]</span> <span class="o">*</span> <span class="n">han</span><span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">hanlength</span><span class="o">/</span><span class="mi">2</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">zeros</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">),</span> <span class="n">total_length</span><span class="p">))</span>
<span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">)):</span>
    <span class="n">stim</span><span class="p">[</span><span class="n">j</span><span class="p">,</span><span class="n">right_context</span><span class="p">:</span><span class="n">window_len</span><span class="o">+</span><span class="n">right_context</span><span class="p">]</span> <span class="o">=</span> <span class="n">p0</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span> <span class="o">*</span> <span class="mi">10</span><span class="o">**</span><span class="p">(</span><span class="n">L</span><span class="p">[</span><span class="n">j</span><span class="p">]</span><span class="o">/</span><span class="mi">20</span><span class="p">)</span> <span class="o">*</span> <span class="n">stim_sin</span>
    
<span class="c1"># prepare for feeding to the DNN</span>
<span class="n">stim</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">stim</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>

<span class="n">connear_pred_tone</span> <span class="o">=</span> <span class="n">connear</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">stim</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">bmm_tone_connear</span> <span class="o">=</span> <span class="n">connear_pred_tone</span>

<span class="c1"># Compute rms for each level</span>
<span class="n">cochlear_pred_tone_rms</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">vstack</span><span class="p">([</span><span class="n">rms</span><span class="p">(</span><span class="n">bmm_tone_connear</span><span class="p">[</span><span class="n">i</span><span class="p">])</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">))])</span>
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<pre>running human auditory model 2018: Verhulst, Altoe, Vasilkov
cochlear simulation: done
10/10 [==============================] - 3s 251ms/step
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">################ Plots ######################################</span>
<span class="c1"># Plot the RMS for the TL</span>
<span class="n">cftile</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">tile</span><span class="p">(</span><span class="n">CF_tl</span><span class="p">,</span> <span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">L</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">semilogx</span><span class="p">((</span><span class="n">cftile</span><span class="o">.</span><span class="n">T</span><span class="p">)</span><span class="o">/</span><span class="mf">10e2</span><span class="p">,</span> <span class="mf">20.</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">tl_target_tone_rms</span><span class="o">.</span><span class="n">T</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlim</span><span class="p">(</span><span class="mf">0.25</span><span class="p">,</span><span class="mf">8.</span><span class="p">),</span> <span class="n">plt</span><span class="o">.</span><span class="n">grid</span><span class="p">(</span><span class="n">which</span><span class="o">=</span><span class="s1">&#39;both&#39;</span><span class="p">),</span> 
<span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="n">ticks</span><span class="o">=</span><span class="p">(</span><span class="mf">0.25</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mf">1.</span><span class="p">,</span> <span class="mf">2.</span><span class="p">,</span> <span class="mf">4.</span><span class="p">,</span> <span class="mf">8.</span><span class="p">)</span> <span class="p">,</span> <span class="n">labels</span><span class="o">=</span><span class="p">(</span><span class="mf">0.25</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mf">1.</span><span class="p">,</span> <span class="mf">2.</span><span class="p">,</span> <span class="mf">4.</span><span class="p">,</span> <span class="mf">8.</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">(</span><span class="o">-</span><span class="mi">80</span><span class="p">,</span> <span class="mi">20</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;CF (kHz)&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;RMS of y_bm (dB)&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;TL Target&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>

<span class="c1"># Plot the RMS for CoNNear</span>
<span class="n">cftile</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">tile</span><span class="p">(</span><span class="n">CF</span><span class="p">,</span> <span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">L</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">semilogx</span><span class="p">((</span><span class="n">cftile</span><span class="o">.</span><span class="n">T</span><span class="p">),</span> <span class="mf">20.</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">cochlear_pred_tone_rms</span><span class="o">.</span><span class="n">T</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlim</span><span class="p">(</span><span class="mf">0.25</span><span class="p">,</span><span class="mf">8.</span><span class="p">),</span> <span class="n">plt</span><span class="o">.</span><span class="n">grid</span><span class="p">(</span><span class="n">which</span><span class="o">=</span><span class="s1">&#39;both&#39;</span><span class="p">),</span> 
<span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="n">ticks</span><span class="o">=</span><span class="p">(</span><span class="mf">0.25</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mf">1.</span><span class="p">,</span> <span class="mf">2.</span><span class="p">,</span> <span class="mf">4.</span><span class="p">,</span> <span class="mf">8.</span><span class="p">)</span> <span class="p">,</span> <span class="n">labels</span><span class="o">=</span><span class="p">(</span><span class="mf">0.25</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mf">1.</span><span class="p">,</span> <span class="mf">2.</span><span class="p">,</span> <span class="mf">4.</span><span class="p">,</span> <span class="mf">8.</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">(</span><span class="o">-</span><span class="mi">80</span><span class="p">,</span> <span class="mi">20</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;CF (kHz)&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;RMS of y_bm (dB)&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;CoNNear Predicted&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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<h2 id="QERB-Plots">QERB Plots<a class="anchor-link" href="#QERB-Plots">&#182;</a></h2><p>Next, the level dependent tuning properties of the cochlea based on QERB are shown. For this, we choose click stimuli at three levels 0dB, 40dB and 70dB, compute their cochlear BM response and compute QERB from it.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">L</span> <span class="o">=</span> <span class="p">[</span><span class="mf">0.</span><span class="p">,</span> <span class="mf">40.</span><span class="p">,</span> <span class="mf">70.</span><span class="p">]</span> <span class="c1"># We will plot it for three SPLs</span>

<span class="c1">################# TL ##########################################</span>
<span class="n">stim_tl</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(((</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">),</span><span class="nb">int</span><span class="p">(</span><span class="n">dur</span> <span class="o">*</span> <span class="n">fs_tl</span><span class="p">))))</span>
<span class="n">QERB_tl</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(((</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">),</span><span class="n">channels_tl</span><span class="p">)))</span>
<span class="n">tl_predicted</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">),(</span><span class="n">window_len</span><span class="p">)</span><span class="o">*</span><span class="n">factor_fs</span><span class="p">,</span><span class="n">channels_tl</span><span class="p">))</span>

<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span> <span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">)):</span>
    <span class="n">stim_tl</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="p">(</span><span class="n">right_context</span> <span class="o">+</span> <span class="n">silence</span><span class="p">)</span><span class="o">*</span><span class="n">factor_fs</span> <span class="p">:</span> <span class="p">(</span><span class="n">right_context</span> <span class="o">+</span> <span class="n">silence</span> <span class="o">+</span> <span class="n">click_duration</span><span class="p">)</span><span class="o">*</span><span class="n">factor_fs</span><span class="p">]</span> <span class="o">=</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span> <span class="o">*</span> <span class="n">p0</span> <span class="o">*</span> <span class="mi">10</span><span class="o">**</span><span class="p">(</span><span class="n">L</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">/</span><span class="mi">20</span><span class="p">)</span> 

<span class="c1">#Get TL outputs</span>
<span class="n">output</span> <span class="o">=</span> <span class="n">tl_vbm_and_oae</span><span class="p">(</span><span class="n">stim_tl</span><span class="p">,</span> <span class="n">L</span><span class="p">)</span>

<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">)):</span>
    <span class="n">tl_predicted</span><span class="p">[</span><span class="n">i</span><span class="p">,:,:]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">output</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="s1">&#39;v&#39;</span><span class="p">])</span>
    <span class="n">QERB_tl</span><span class="p">[</span><span class="n">i</span><span class="p">,:]</span> <span class="o">=</span> <span class="n">QERB_calculation</span><span class="p">(</span><span class="n">tl_predicted</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:]</span><span class="o">.</span><span class="n">T</span><span class="p">,</span> <span class="n">CF_tl_full</span><span class="o">*</span><span class="mf">1e3</span><span class="p">,</span> <span class="n">fs_tl</span><span class="p">)</span>
    
<span class="c1">################ CoNNear ####################################</span>
<span class="n">stim_con</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(((</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">),</span><span class="nb">int</span><span class="p">(</span><span class="n">dur</span> <span class="o">*</span> <span class="n">fs</span><span class="p">)</span><span class="o">+</span><span class="n">right_context</span><span class="o">+</span><span class="n">left_context</span><span class="p">,</span><span class="mi">1</span><span class="p">)))</span>
<span class="n">QERB_connear</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(((</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">),</span><span class="n">channels</span><span class="p">)))</span>

<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span> <span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">)):</span>
    <span class="n">stim_con</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">right_context</span> <span class="o">+</span> <span class="n">silence</span> <span class="p">:</span> <span class="n">right_context</span> <span class="o">+</span> <span class="n">silence</span> <span class="o">+</span> <span class="n">click_duration</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span> <span class="o">*</span> <span class="n">p0</span> <span class="o">*</span> <span class="mi">10</span><span class="o">**</span><span class="p">(</span><span class="n">L</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">/</span><span class="mi">20</span><span class="p">)</span>
    
<span class="c1">#Get CoNNear outputs</span>
<span class="n">con_predicted</span> <span class="o">=</span> <span class="n">connear</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">stim_con</span><span class="p">)</span>

<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span> <span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">)):</span>
    <span class="n">QERB_connear</span><span class="p">[</span><span class="n">i</span><span class="p">,:]</span> <span class="o">=</span> <span class="n">QERB_calculation</span><span class="p">(</span><span class="n">con_predicted</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:]</span><span class="o">.</span><span class="n">T</span><span class="p">,</span> <span class="n">CF</span><span class="o">*</span><span class="mf">1e3</span><span class="p">,</span> <span class="n">fs</span><span class="p">)</span>
    
<span class="c1">################ Plots ######################################</span>
<span class="c1"># Plot QERB of tl model</span>
<span class="n">plt</span><span class="o">.</span><span class="n">semilogx</span><span class="p">(</span><span class="n">CF_tl_full</span><span class="p">[</span><span class="mi">0</span><span class="p">::</span><span class="mi">10</span><span class="p">]</span><span class="o">/</span><span class="mf">10e2</span><span class="p">,</span> <span class="n">QERB_tl</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">0</span><span class="p">::</span><span class="mi">10</span><span class="p">]</span><span class="o">/</span><span class="mf">10e2</span><span class="p">,</span><span class="s1">&#39;:gs&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;0dB&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">semilogx</span><span class="p">(</span><span class="n">CF_tl_full</span><span class="p">[</span><span class="mi">0</span><span class="p">::</span><span class="mi">10</span><span class="p">]</span><span class="o">/</span><span class="mf">10e2</span><span class="p">,</span> <span class="n">QERB_tl</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">0</span><span class="p">::</span><span class="mi">10</span><span class="p">]</span><span class="o">/</span><span class="mf">10e2</span><span class="p">,</span><span class="s1">&#39;r&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;40dB&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">semilogx</span><span class="p">(</span><span class="n">CF_tl_full</span><span class="p">[</span><span class="mi">0</span><span class="p">::</span><span class="mi">10</span><span class="p">]</span><span class="o">/</span><span class="mf">10e2</span><span class="p">,</span> <span class="n">QERB_tl</span><span class="p">[</span><span class="mi">2</span><span class="p">,</span><span class="mi">0</span><span class="p">::</span><span class="mi">10</span><span class="p">]</span><span class="o">/</span><span class="mf">10e2</span><span class="p">,</span><span class="s1">&#39;:rs&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;70dB&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlim</span><span class="p">(</span><span class="mf">0.25</span><span class="p">,</span><span class="mf">8.</span><span class="p">),</span> <span class="n">plt</span><span class="o">.</span><span class="n">grid</span><span class="p">(</span><span class="n">which</span><span class="o">=</span><span class="s1">&#39;both&#39;</span><span class="p">),</span> 
<span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="n">ticks</span><span class="o">=</span><span class="p">(</span><span class="mf">0.25</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mf">1.</span><span class="p">,</span> <span class="mf">2.</span><span class="p">,</span> <span class="mf">4.</span><span class="p">,</span> <span class="mf">8.</span><span class="p">)</span> <span class="p">,</span> <span class="n">labels</span><span class="o">=</span><span class="p">(</span><span class="mf">0.25</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mf">1.</span><span class="p">,</span> <span class="mf">2.</span><span class="p">,</span> <span class="mf">4.</span><span class="p">,</span> <span class="mf">8.</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">yticks</span><span class="p">(</span><span class="n">ticks</span><span class="o">=</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">15</span><span class="p">,</span> <span class="mi">20</span><span class="p">)</span> <span class="p">,</span> <span class="n">labels</span><span class="o">=</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">15</span><span class="p">,</span> <span class="mi">20</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;CF (kHz)&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span><span class="mi">20</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;QERB&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;TL Target&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>

<span class="c1"># Plot QERB of CoNNear model</span>
<span class="n">plt</span><span class="o">.</span><span class="n">semilogx</span><span class="p">(</span><span class="n">CF</span><span class="p">[</span><span class="mi">0</span><span class="p">::</span><span class="mi">5</span><span class="p">],</span> <span class="p">(</span><span class="n">QERB_connear</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">0</span><span class="p">::</span><span class="mi">5</span><span class="p">]),</span><span class="s1">&#39;:gs&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;0dB&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">semilogx</span><span class="p">(</span><span class="n">CF</span><span class="p">[</span><span class="mi">0</span><span class="p">::</span><span class="mi">5</span><span class="p">],</span> <span class="p">(</span><span class="n">QERB_connear</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">0</span><span class="p">::</span><span class="mi">5</span><span class="p">]),</span><span class="s1">&#39;r&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;40dB&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">semilogx</span><span class="p">(</span><span class="n">CF</span><span class="p">[</span><span class="mi">0</span><span class="p">::</span><span class="mi">5</span><span class="p">],</span> <span class="p">(</span><span class="n">QERB_connear</span><span class="p">[</span><span class="mi">2</span><span class="p">,</span><span class="mi">0</span><span class="p">::</span><span class="mi">5</span><span class="p">]),</span><span class="s1">&#39;:rs&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;70dB&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlim</span><span class="p">(</span><span class="mf">0.25</span><span class="p">,</span><span class="mf">8.</span><span class="p">),</span> <span class="n">plt</span><span class="o">.</span><span class="n">grid</span><span class="p">(</span><span class="n">which</span><span class="o">=</span><span class="s1">&#39;both&#39;</span><span class="p">),</span> 
<span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="n">ticks</span><span class="o">=</span><span class="p">(</span><span class="mf">0.25</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mf">1.</span><span class="p">,</span> <span class="mf">2.</span><span class="p">,</span> <span class="mf">4.</span><span class="p">,</span> <span class="mf">8.</span><span class="p">)</span> <span class="p">,</span> <span class="n">labels</span><span class="o">=</span><span class="p">(</span><span class="mf">0.25</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mf">1.</span><span class="p">,</span> <span class="mf">2.</span><span class="p">,</span> <span class="mf">4.</span><span class="p">,</span> <span class="mf">8.</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">yticks</span><span class="p">(</span><span class="n">ticks</span><span class="o">=</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">15</span><span class="p">,</span> <span class="mi">20</span><span class="p">)</span> <span class="p">,</span> <span class="n">labels</span><span class="o">=</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">15</span><span class="p">,</span> <span class="mi">20</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;CF (kHz)&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span><span class="mi">20</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;QERB&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;CoNNear Predicted&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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<pre>running human auditory model 2018: Verhulst, Altoe, Vasilkov
cochlear simulation: done
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<h2 id="Speech-Input">Speech Input<a class="anchor-link" href="#Speech-Input">&#182;</a></h2><p>Here, a sentence from the Dutch speech matrix (unseen during trianing) will be inputted to both the TL and the CoNNear model. By adapting fragment_length, various input lengths can be compared and visualised.</p>
<p><strong>Notice that this part is computationally more expensive with a higher fragment_duration, both in terms of memory and time.</strong></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#load in speechfile</span>
<span class="n">wavfile</span> <span class="o">=</span> <span class="s1">&#39;dutch_sentence.wav&#39;</span>
<span class="n">signal_wav</span><span class="p">,</span> <span class="n">fs_signal</span> <span class="o">=</span> <span class="n">wavfile_read</span><span class="p">(</span><span class="n">wavfile</span><span class="p">)</span>
<span class="n">signalr</span> <span class="o">=</span> <span class="n">sp_sig</span><span class="o">.</span><span class="n">resample_poly</span><span class="p">(</span><span class="n">signal_wav</span><span class="p">,</span> <span class="n">fs_tl</span><span class="p">,</span> <span class="n">fs_signal</span><span class="p">)</span>

<span class="n">L</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">70</span><span class="p">])</span> <span class="c1">#sound-level of 70 dB SPL</span>
<span class="n">stim_full</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">),</span> <span class="n">signalr</span><span class="o">.</span><span class="n">size</span><span class="p">))</span>

<span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">)):</span>
    <span class="n">stim_full</span><span class="p">[</span><span class="n">j</span><span class="p">,</span> <span class="p">:]</span> <span class="o">=</span> <span class="n">p0</span> <span class="o">*</span> <span class="mi">10</span><span class="o">**</span><span class="p">(</span><span class="n">L</span><span class="p">[</span><span class="n">j</span><span class="p">]</span><span class="o">/</span><span class="mi">20</span><span class="p">)</span> <span class="o">*</span> <span class="n">signalr</span><span class="o">/</span><span class="n">rms</span><span class="p">(</span><span class="n">signalr</span><span class="p">)</span>
    
<span class="n">fragment_length</span> <span class="o">=</span> <span class="mi">12345</span> <span class="c1">#define fragment length (max 40000 for the included wav-file)</span>
<span class="n">stim_length_init</span> <span class="o">=</span> <span class="n">factor_fs</span><span class="o">*</span><span class="p">(</span><span class="n">fragment_length</span><span class="o">+</span><span class="n">right_context</span><span class="o">+</span><span class="n">left_context</span><span class="p">)</span>
<span class="n">stim_length</span> <span class="o">=</span> <span class="n">stim_length_init</span>

<span class="c1">#adapt fragment duration if no multiple of 16 (due to the CNN character of CoNNear, we need multiples of 16)</span>
<span class="n">zero_pad</span> <span class="o">=</span> <span class="n">fragment_length</span><span class="o">%</span><span class="k">16</span>
<span class="n">zeros</span> <span class="o">=</span> <span class="mi">0</span>
<span class="k">if</span> <span class="n">zero_pad</span> <span class="o">!=</span> <span class="mi">0</span><span class="p">:</span> 
    <span class="n">zeros</span> <span class="o">=</span> <span class="mi">16</span><span class="o">-</span><span class="n">zero_pad</span>
    <span class="n">stim_length</span> <span class="o">=</span> <span class="n">factor_fs</span><span class="o">*</span><span class="p">(</span><span class="n">fragment_length</span><span class="o">+</span><span class="n">right_context</span><span class="o">+</span><span class="n">left_context</span><span class="o">+</span><span class="n">zeros</span><span class="p">)</span>
    
<span class="c1">################# TL ########################################## </span>
<span class="n">stim</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">),</span> <span class="nb">int</span><span class="p">(</span><span class="n">stim_length</span><span class="p">)))</span>
<span class="n">stimrange</span> <span class="o">=</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">stim_length_init</span><span class="p">)</span>
<span class="n">stim</span><span class="p">[:,</span><span class="n">stimrange</span><span class="p">]</span> <span class="o">=</span> <span class="n">stim_full</span><span class="p">[:,</span><span class="mi">0</span><span class="p">:</span><span class="n">stim_length_init</span><span class="p">]</span>

<span class="n">output</span> <span class="o">=</span> <span class="n">tl_vbm_and_oae</span><span class="p">(</span><span class="n">stim</span><span class="p">,</span> <span class="n">L</span><span class="p">)</span>

<span class="n">tl_target</span> <span class="o">=</span> <span class="p">[]</span>
<span class="n">tl_target</span> <span class="o">=</span> <span class="n">sp_sig</span><span class="o">.</span><span class="n">resample_poly</span><span class="p">(</span><span class="n">output</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="s1">&#39;v&#39;</span><span class="p">][</span><span class="mi">0</span><span class="p">:,::</span><span class="n">down_rate</span><span class="p">],</span> <span class="n">fs</span><span class="p">,</span> <span class="n">fs_tl</span><span class="p">)</span>
<span class="n">tl_target</span> <span class="o">=</span> <span class="n">tl_target</span><span class="o">.</span><span class="n">T</span> <span class="o">*</span> <span class="mf">1e6</span>
        
<span class="c1">################ CoNNear ####################################</span>
<span class="n">stim</span><span class="o">=</span><span class="n">sp_sig</span><span class="o">.</span><span class="n">resample_poly</span><span class="p">(</span><span class="n">stim</span><span class="p">,</span> <span class="n">fs</span><span class="p">,</span> <span class="n">fs_tl</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</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">expand_dims</span><span class="p">(</span><span class="n">stim</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>

<span class="n">tl_pred</span> <span class="o">=</span> <span class="n">connear</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">stim</span><span class="p">)</span>
<span class="n">tl_pred</span> <span class="o">=</span> <span class="n">tl_pred</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:]</span><span class="o">.</span><span class="n">T</span>

<span class="c1">################ Plots ######################################</span>
<span class="n">fig</span><span class="p">,</span> <span class="n">axarr</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">4</span><span class="p">,</span> <span class="n">sharex</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">axarr</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">(</span><span class="o">-</span><span class="mf">0.35</span><span class="p">,</span> <span class="mf">0.35</span><span class="p">)</span>
<span class="n">axarr</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">stim</span><span class="p">[</span><span class="mi">0</span><span class="p">,(</span><span class="n">left_context</span><span class="p">):</span><span class="o">-</span><span class="p">(</span><span class="n">right_context</span><span class="p">),</span><span class="mi">0</span><span class="p">])</span>
<span class="n">axarr</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">&#39;Segment of Audio Input&#39;</span><span class="p">)</span>

<span class="n">cax1</span> <span class="o">=</span> <span class="n">axarr</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">tl_target</span><span class="p">[:,</span><span class="n">left_context</span><span class="p">:</span><span class="o">-</span><span class="n">right_context</span><span class="p">],</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">&#39;bwr&#39;</span><span class="p">,</span><span class="n">aspect</span><span class="o">=</span><span class="s1">&#39;auto&#39;</span><span class="p">,</span> <span class="n">vmin</span><span class="o">=-</span><span class="mf">0.5</span><span class="p">,</span> <span class="n">vmax</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
<span class="n">axarr</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">&#39;Output of TL-model&#39;</span><span class="p">)</span>
<span class="n">axarr</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">ylabel</span><span class="o">=</span><span class="s1">&#39;Center Frequency&#39;</span><span class="p">)</span>

<span class="n">cax2</span> <span class="o">=</span> <span class="n">axarr</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">tl_pred</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">&#39;bwr&#39;</span><span class="p">,</span><span class="n">aspect</span><span class="o">=</span><span class="s1">&#39;auto&#39;</span><span class="p">,</span> <span class="n">vmin</span><span class="o">=-</span><span class="mf">0.5</span><span class="p">,</span> <span class="n">vmax</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>  
<span class="n">axarr</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">&#39;Output of CoNNear&#39;</span><span class="p">)</span>
<span class="n">axarr</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">ylabel</span><span class="o">=</span><span class="s1">&#39;Center Frequency&#39;</span><span class="p">)</span>

<span class="n">cax3</span> <span class="o">=</span> <span class="n">axarr</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">tl_pred</span><span class="o">-</span><span class="n">tl_target</span><span class="p">[:,</span><span class="n">left_context</span><span class="p">:</span><span class="o">-</span><span class="n">right_context</span><span class="p">],</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">&#39;bwr&#39;</span><span class="p">,</span><span class="n">aspect</span><span class="o">=</span><span class="s1">&#39;auto&#39;</span><span class="p">,</span> <span class="n">vmin</span><span class="o">=-</span><span class="mf">0.5</span><span class="p">,</span> <span class="n">vmax</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
<span class="n">axarr</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">&#39;Difference TL output and CoNNear&#39;</span><span class="p">)</span>
<span class="n">axarr</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">ylabel</span><span class="o">=</span><span class="s1">&#39;Center Frequency&#39;</span><span class="p">)</span>

<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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<pre>running human auditory model 2018: Verhulst, Altoe, Vasilkov
cochlear simulation: done
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<h2 id="DPOAE-Plots">DPOAE Plots<a class="anchor-link" href="#DPOAE-Plots">&#182;</a></h2><p>The frequency response of the 12-kHz CF channel is evaluated as a proxy for the otoacoustic emissions recorded in the ear-canal. Frequency responses of model simulations are shown in response to two pure tones of $f_{1,2}$ of 2.0 and 2.4 kHz.
The most pronounced distortion product in humans occurs at $2f_1 - f_2$ (1.6 kHz).</p>
<p><strong>Notice that this part is computationally expensive, both in terms of memory and time.</strong></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Create the stimulus</span>
<span class="n">L</span> <span class="o">=</span> <span class="p">[</span><span class="mf">70.0</span><span class="p">]</span>
<span class="n">f1</span> <span class="o">=</span> <span class="mf">2000.</span>
<span class="n">f2</span> <span class="o">=</span> <span class="mf">1.2</span> <span class="o">*</span> <span class="n">f1</span>
<span class="n">L2</span> <span class="o">=</span> <span class="mf">50.</span>
<span class="n">L1</span> <span class="o">=</span> <span class="mi">39</span> <span class="o">+</span> <span class="mf">0.4</span> <span class="o">*</span> <span class="n">L2</span> <span class="c1"># scissors paradigm</span>
<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;The tone frequencies are &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">f1</span><span class="p">)</span> <span class="o">+</span> <span class="s2">&quot; and &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">f2</span><span class="p">))</span>
<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;with levels &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">L1</span><span class="p">)</span> <span class="o">+</span> <span class="s2">&quot; and &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">L2</span><span class="p">))</span>
<span class="n">trailing_silence</span> <span class="o">=</span> <span class="mf">0.</span>

<span class="c1"># Here we will pick a stimulus longer than 2048 samples to get a better FFT</span>
<span class="c1"># We will prepare it with fs_tl sampling frequency</span>
<span class="n">dur_sin_samples</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">lcm</span><span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="n">f1</span><span class="p">),</span> <span class="nb">int</span><span class="p">(</span><span class="n">f2</span><span class="p">))</span>
<span class="n">min_duration</span> <span class="o">=</span> <span class="mf">0.25</span> <span class="c1"># in seconds</span>
<span class="k">if</span> <span class="n">dur_sin_samples</span> <span class="o">&lt;</span> <span class="p">(</span><span class="n">min_duration</span> <span class="o">*</span> <span class="n">fs_tl</span><span class="p">):</span>
    <span class="n">dur_sin</span> <span class="o">=</span> <span class="p">(((</span><span class="n">min_duration</span> <span class="o">*</span> <span class="n">fs_tl</span><span class="p">)</span> <span class="o">//</span> <span class="n">dur_sin_samples</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">*</span> <span class="n">dur_sin_samples</span>
<span class="k">else</span><span class="p">:</span>
    <span class="n">dur_sin</span> <span class="o">=</span> <span class="n">dur_sin_samples</span>
<span class="n">dur_sin</span> <span class="o">=</span> <span class="p">(</span><span class="n">dur_sin</span> <span class="o">/</span> <span class="n">fs_tl</span><span class="p">)</span> 

<span class="n">t</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="mf">0.</span><span class="p">,</span> <span class="n">dur_sin</span><span class="p">,</span> <span class="mf">1.</span><span class="o">/</span><span class="n">fs_tl</span><span class="p">)</span>

<span class="n">hanlength</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="mf">10e-3</span> <span class="o">*</span> <span class="n">fs_tl</span><span class="p">)</span> <span class="c1"># 10ms length hanning window</span>
<span class="c1">#f1</span>
<span class="n">stim_sin1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="mi">2</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">pi</span> <span class="o">*</span> <span class="n">f1</span> <span class="o">*</span> <span class="n">t</span><span class="p">)</span>
<span class="n">han</span> <span class="o">=</span> <span class="n">signal</span><span class="o">.</span><span class="n">windows</span><span class="o">.</span><span class="n">hann</span><span class="p">(</span><span class="n">hanlength</span><span class="p">)</span>
<span class="n">stim_sin1</span> <span class="o">=</span> <span class="n">p0</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span> <span class="o">*</span> <span class="mi">10</span><span class="o">**</span><span class="p">(</span><span class="n">L1</span><span class="o">/</span><span class="mi">20</span><span class="p">)</span> <span class="o">*</span> <span class="n">stim_sin1</span>
<span class="c1">#f2</span>
<span class="n">stim_sin2</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="mi">2</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">pi</span> <span class="o">*</span> <span class="n">f2</span> <span class="o">*</span> <span class="n">t</span><span class="p">)</span>
<span class="n">stim_sin2</span> <span class="o">=</span> <span class="n">p0</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span> <span class="o">*</span> <span class="mi">10</span><span class="o">**</span><span class="p">(</span><span class="n">L2</span><span class="o">/</span><span class="mi">20</span><span class="p">)</span> <span class="o">*</span> <span class="n">stim_sin2</span>

<span class="n">stim_sin</span> <span class="o">=</span> <span class="n">stim_sin1</span> <span class="o">+</span> <span class="n">stim_sin2</span>

<span class="n">total_length</span> <span class="o">=</span>  <span class="nb">int</span><span class="p">(</span><span class="n">trailing_silence</span> <span class="o">*</span> <span class="n">fs_tl</span><span class="p">)</span> <span class="o">+</span> <span class="nb">len</span><span class="p">(</span><span class="n">stim_sin</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">zeros</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span> <span class="nb">int</span><span class="p">(</span><span class="n">total_length</span><span class="p">)))</span>
<span class="n">stimrange</span> <span class="o">=</span> <span class="nb">range</span><span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="n">trailing_silence</span> <span class="o">*</span> <span class="n">fs_tl</span><span class="p">),</span> <span class="nb">int</span><span class="p">(</span><span class="n">trailing_silence</span> <span class="o">*</span> <span class="n">fs_tl</span><span class="p">)</span> <span class="o">+</span> <span class="nb">len</span><span class="p">(</span><span class="n">stim_sin</span><span class="p">))</span>
<span class="n">stim</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="n">stimrange</span><span class="p">]</span> <span class="o">=</span> <span class="n">stim_sin</span>

<span class="c1">################# TL ##########################################</span>
<span class="n">output</span> <span class="o">=</span> <span class="n">tl_vbm_and_oae</span><span class="p">(</span><span class="n">stim</span> <span class="p">,</span> <span class="n">L</span><span class="p">)</span>
<span class="n">tl_out_full</span> <span class="o">=</span> <span class="p">[]</span>
<span class="n">downrate</span> <span class="o">=</span> <span class="mi">2</span> <span class="c1"># downsampling across CF axis </span>
<span class="n">tl_out_full</span> <span class="o">=</span> <span class="n">sp_sig</span><span class="o">.</span><span class="n">resample_poly</span><span class="p">(</span><span class="n">output</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="s1">&#39;v&#39;</span><span class="p">][</span><span class="n">stimrange</span><span class="p">,::</span><span class="n">downrate</span><span class="p">],</span> <span class="n">fs</span><span class="p">,</span> <span class="n">fs_tl</span><span class="p">)</span>
<span class="n">dpoae</span> <span class="o">=</span> <span class="n">sp_sig</span><span class="o">.</span><span class="n">resample_poly</span><span class="p">(</span><span class="n">output</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="s1">&#39;e&#39;</span><span class="p">][</span><span class="n">stimrange</span><span class="p">,],</span> <span class="n">fs</span><span class="p">,</span> <span class="n">fs_tl</span><span class="p">)</span>
<span class="n">tl_out_full</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">tl_out_full</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="c1">################# CoNNear ####################################</span>
<span class="c1"># prepare for feeding to the CoNNear model</span>
<span class="c1"># first resample it to fs</span>
<span class="n">shift_stim</span> <span class="o">=</span> <span class="mi">1</span>
<span class="n">stim</span> <span class="o">=</span> <span class="n">stim</span><span class="p">[:,</span> <span class="p">:]</span>
<span class="n">stim</span> <span class="o">=</span> <span class="n">signal</span><span class="o">.</span><span class="n">decimate</span><span class="p">(</span><span class="n">stim</span><span class="p">,</span> <span class="n">factor_fs</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">stim_1</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">stim</span><span class="p">[</span><span class="mi">0</span><span class="p">,:])</span>
<span class="c1"># window the signal into chunks of 2560 samples to be fed to the CoNNer model</span>
<span class="n">stim</span> <span class="o">=</span> <span class="n">slice_1dsignal</span><span class="p">(</span><span class="n">stim_1</span><span class="p">,</span> <span class="mi">2048</span><span class="p">,</span> <span class="n">shift_stim</span><span class="p">,</span> <span class="mi">256</span><span class="p">,</span> <span class="n">left_context</span><span class="o">=</span><span class="mi">256</span><span class="p">,</span> <span class="n">right_context</span><span class="o">=</span><span class="mi">256</span><span class="p">)</span>
<span class="n">connear_out_chunks</span> <span class="o">=</span> <span class="n">connear</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">stim</span><span class="p">,</span><span class="n">verbose</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="c1"># undo the windowing to get back the full response</span>
<span class="n">connear_out_full</span> <span class="o">=</span> <span class="n">undo_window</span> <span class="p">(</span><span class="n">connear_out_chunks</span><span class="p">,</span> <span class="mi">2048</span><span class="p">,</span> <span class="n">shift_stim</span><span class="p">,</span> <span class="n">ignore_first_set</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
<span class="n">connear_out_full</span> <span class="o">=</span> <span class="n">connear_out_full</span><span class="p">[:,:</span><span class="n">stim_1</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],:]</span> <span class="o">*</span> <span class="mf">1e-6</span>

<span class="c1">##############################################################</span>
<span class="n">f_cf</span> <span class="o">=</span> <span class="mf">12000.</span>
<span class="n">tone_index</span><span class="p">,</span> <span class="n">tone_cf</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="nb">enumerate</span><span class="p">(</span><span class="n">CF</span><span class="o">*</span><span class="mi">1000</span><span class="p">),</span> <span class="n">key</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="nb">abs</span><span class="p">(</span> <span class="n">x</span> <span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">-</span> <span class="n">f_cf</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;CF nearest to &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">f_cf</span><span class="p">)</span> <span class="o">+</span> <span class="s2">&quot; is &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">CF</span><span class="p">[</span><span class="n">tone_index</span><span class="p">]</span><span class="o">*</span><span class="mi">1000</span><span class="p">))</span>
<span class="n">scale_val</span> <span class="o">=</span> <span class="p">(</span><span class="n">p0</span><span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="mi">2</span><span class="p">))</span>

<span class="c1">################ Plots ######################################</span>
<span class="c1"># Plot the DPOAE TL</span>
<span class="n">tl_dpoae</span><span class="p">,</span> <span class="n">nfft_tl</span> <span class="o">=</span> <span class="n">get_dpoae</span><span class="p">(</span><span class="n">tl_out_full</span><span class="p">,</span> <span class="n">cf_location</span><span class="o">=</span><span class="n">tone_index</span><span class="p">)</span>
    
<span class="n">freq_bins_tl</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">fs</span><span class="p">,</span> <span class="n">num</span> <span class="o">=</span> <span class="n">nfft_tl</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">semilogx</span><span class="p">(</span><span class="n">freq_bins_tl</span><span class="p">[:</span><span class="nb">int</span><span class="p">(</span><span class="n">nfft_tl</span><span class="o">/</span><span class="mi">2</span><span class="p">)]</span><span class="o">/</span><span class="mi">1000</span><span class="p">,</span> <span class="mi">20</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">tl_dpoae</span><span class="o">/</span><span class="n">scale_val</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;DPOAEs - TL&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;Frequency [kHz]&#39;</span><span class="p">),</span> <span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;Magnitudes dbSPL&#39;</span><span class="p">),</span> <span class="n">plt</span><span class="o">.</span><span class="n">xlim</span><span class="p">((</span><span class="mf">0.25</span><span class="p">,</span> <span class="mi">8</span><span class="p">)),</span> <span class="n">plt</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>

<span class="c1"># Plot the DPOAE CoNNear</span>
<span class="n">connear_dpoae</span><span class="p">,</span> <span class="n">nfft_connear</span> <span class="o">=</span> <span class="n">get_dpoae</span><span class="p">(</span><span class="n">connear_out_full</span><span class="p">,</span> <span class="n">cf_location</span><span class="o">=</span><span class="n">tone_index</span><span class="p">)</span>
    
<span class="n">freq_bins_connear</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">fs</span><span class="p">,</span> <span class="n">num</span> <span class="o">=</span> <span class="n">nfft_connear</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">semilogx</span><span class="p">(</span><span class="n">freq_bins_connear</span><span class="p">[:</span><span class="nb">int</span><span class="p">(</span><span class="n">nfft_connear</span><span class="o">/</span><span class="mi">2</span><span class="p">)]</span><span class="o">/</span><span class="mi">1000</span><span class="p">,</span> <span class="mi">20</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">connear_dpoae</span><span class="o">/</span><span class="n">scale_val</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;DPOAEs - CoNNear&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;Frequency [kHz]&#39;</span><span class="p">),</span> <span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;Magnitudes dbSPL&#39;</span><span class="p">),</span> <span class="n">plt</span><span class="o">.</span><span class="n">xlim</span><span class="p">((</span><span class="mf">0.25</span><span class="p">,</span> <span class="mi">8</span><span class="p">)),</span> <span class="n">plt</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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<pre>The tone frequencies are 2000.0 and 2400.0
with levels 59.0 and 50.0
running human auditory model 2018: Verhulst, Altoe, Vasilkov
cochlear simulation: done
6945/6945 [==============================] - 1530s 220ms/step
CF nearest to 12000.0 is 12009.824013858139
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<h2 id="RMS-error-between-the-excitation-patterns">RMS error between the excitation patterns<a class="anchor-link" href="#RMS-error-between-the-excitation-patterns">&#182;</a></h2><p>Here we will generate tones at different frequencies and levels, pass them through the TL and CoNNear model, compute the excitation patterns and compute the L2 loss between the excitation patterns. Then they are plotted as a scatter plot CFs vs RMS error for different levels.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">L</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="mf">0.</span><span class="p">,</span> <span class="mf">91.0</span><span class="p">,</span> <span class="mf">10.</span><span class="p">)</span>
<span class="n">CFs</span> <span class="o">=</span> <span class="p">[</span><span class="mf">250.</span><span class="p">,</span> <span class="mf">500.</span><span class="p">,</span> <span class="mf">1000.</span><span class="p">,</span> <span class="mf">2000.</span><span class="p">,</span> <span class="mf">4000.</span><span class="p">,</span> <span class="mf">8000.</span><span class="p">,</span> <span class="mf">10000.</span><span class="p">,</span> <span class="mf">12000.</span><span class="p">]</span> 

<span class="n">dur</span> <span class="o">=</span> <span class="mf">102.4e-3</span> <span class="c1"># 2048 samples</span>
<span class="n">window_len</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">fs</span> <span class="o">*</span> <span class="n">dur</span><span class="p">)</span>
<span class="n">CF_TL</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">loadtxt</span><span class="p">(</span><span class="s1">&#39;tlmodel/cf.txt&#39;</span><span class="p">)</span> 

<span class="c1">################# TL ##########################################</span>
<span class="n">t</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="mf">0.</span><span class="p">,</span> <span class="n">dur</span><span class="p">,</span> <span class="mf">1.</span><span class="o">/</span><span class="n">fs_tl</span><span class="p">)</span>
<span class="n">hanlength</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="mf">10e-3</span> <span class="o">*</span> <span class="n">fs_tl</span><span class="p">)</span> 

<span class="c1"># initialize an empty array for storing all the excitation patterns</span>
<span class="n">y_bm_tl_all</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">)</span><span class="o">*</span><span class="nb">len</span><span class="p">(</span><span class="n">CFs</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">CF_TL</span><span class="p">)))</span>
<span class="n">tl_pred_all</span><span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">)</span><span class="o">*</span><span class="nb">len</span><span class="p">(</span><span class="n">CFs</span><span class="p">),</span> <span class="n">window_len</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">CF_TL</span><span class="p">)))</span> <span class="c1"># to store all prediction ouputs</span>

<span class="k">for</span> <span class="n">idx</span><span class="p">,</span> <span class="n">f_tone</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">CFs</span><span class="p">):</span>
    <span class="n">stim_sin</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="mi">2</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">pi</span> <span class="o">*</span> <span class="n">f_tone</span> <span class="o">*</span> <span class="n">t</span><span class="p">)</span>
    <span class="n">han</span> <span class="o">=</span> <span class="n">signal</span><span class="o">.</span><span class="n">hanning</span><span class="p">(</span><span class="n">hanlength</span><span class="p">)</span>
    <span class="n">stim_sin</span><span class="p">[:</span><span class="nb">int</span><span class="p">(</span><span class="n">hanlength</span><span class="o">/</span><span class="mi">2</span><span class="p">)]</span> <span class="o">=</span> <span class="n">stim_sin</span><span class="p">[:</span><span class="nb">int</span><span class="p">(</span><span class="n">hanlength</span><span class="o">/</span><span class="mi">2</span><span class="p">)]</span> <span class="o">*</span> <span class="n">han</span><span class="p">[:</span><span class="nb">int</span><span class="p">(</span><span class="n">hanlength</span><span class="o">/</span><span class="mi">2</span><span class="p">)]</span>
    <span class="n">stim_sin</span><span class="p">[</span><span class="o">-</span><span class="nb">int</span><span class="p">(</span><span class="n">hanlength</span><span class="o">/</span><span class="mi">2</span><span class="p">):]</span> <span class="o">=</span> <span class="n">stim_sin</span><span class="p">[</span><span class="o">-</span><span class="nb">int</span><span class="p">(</span><span class="n">hanlength</span><span class="o">/</span><span class="mi">2</span><span class="p">):]</span> <span class="o">*</span> <span class="n">han</span><span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">hanlength</span><span class="o">/</span><span class="mi">2</span><span class="p">):]</span>
    <span class="n">total_length_tl</span> <span class="o">=</span> <span class="n">factor_fs</span> <span class="o">*</span> <span class="p">(</span><span class="n">window_len</span> <span class="o">+</span> <span class="n">right_context</span> <span class="o">+</span> <span class="n">left_context</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">zeros</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">),</span> <span class="n">total_length_tl</span><span class="p">))</span>
    <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">)):</span>
        <span class="n">stim</span><span class="p">[</span><span class="n">j</span><span class="p">,</span> <span class="n">factor_fs</span><span class="o">*</span><span class="n">right_context</span><span class="p">:</span><span class="n">factor_fs</span><span class="o">*</span><span class="p">(</span><span class="n">window_len</span><span class="o">+</span><span class="n">right_context</span><span class="p">)]</span> <span class="o">=</span> <span class="n">p0</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span> <span class="o">*</span> <span class="mi">10</span><span class="o">**</span><span class="p">(</span><span class="n">L</span><span class="p">[</span><span class="n">j</span><span class="p">]</span><span class="o">/</span><span class="mi">20</span><span class="p">)</span> <span class="o">*</span> <span class="n">stim_sin</span>
    
    <span class="n">output</span> <span class="o">=</span> <span class="n">tl_vbm_and_oae</span><span class="p">(</span><span class="n">stim</span><span class="p">,</span> <span class="n">L</span><span class="p">)</span>

    <span class="n">tl_target_tone_full</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">),</span> <span class="n">total_length_tl</span><span class="p">,</span><span class="n">channels_tl</span><span class="p">))</span>
    <span class="n">tl_target_tone</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">),</span> <span class="n">window_len</span><span class="p">,</span><span class="n">channels</span><span class="p">))</span>
    <span class="n">stimrange</span> <span class="o">=</span> <span class="nb">range</span><span class="p">(</span><span class="n">right_context</span><span class="o">*</span><span class="n">factor_fs</span><span class="p">,</span> <span class="p">(</span><span class="n">right_context</span><span class="o">*</span><span class="n">factor_fs</span><span class="p">)</span> <span class="o">+</span> <span class="p">(</span><span class="n">factor_fs</span><span class="o">*</span><span class="n">samples</span><span class="p">))</span>
    <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">)):</span>
        <span class="n">tl_target_tone_full</span><span class="p">[</span><span class="n">i</span><span class="p">,:,:]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">output</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="s1">&#39;v&#39;</span><span class="p">])</span>
        <span class="n">tl_target_tone</span><span class="p">[</span><span class="n">i</span><span class="p">,:,:]</span> <span class="o">=</span> <span class="n">sp_sig</span><span class="o">.</span><span class="n">resample_poly</span><span class="p">(</span><span class="n">output</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="s1">&#39;v&#39;</span><span class="p">][</span><span class="n">stimrange</span><span class="p">,::</span><span class="n">down_rate</span><span class="p">],</span> <span class="n">fs</span><span class="p">,</span> <span class="n">fs_tl</span><span class="p">)</span>
        <span class="n">tl_target_tone</span><span class="p">[</span><span class="n">i</span><span class="p">,:,:]</span> <span class="o">=</span> <span class="n">tl_target_tone</span><span class="p">[</span><span class="n">i</span><span class="p">,:,:]</span> <span class="o">*</span> <span class="mf">1e6</span>  
    <span class="n">tl_target_tone_rms</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">vstack</span><span class="p">([</span><span class="n">rms</span><span class="p">(</span><span class="n">tl_target_tone</span><span class="p">[</span><span class="n">i</span><span class="p">])</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">))])</span>
    
    <span class="n">y_bm_tl_all</span><span class="p">[</span> <span class="n">idx</span><span class="o">*</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">):(</span><span class="n">idx</span><span class="o">+</span><span class="mi">1</span><span class="p">)</span><span class="o">*</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">)</span> <span class="p">,</span> <span class="p">:]</span> <span class="o">=</span> <span class="n">tl_target_tone_rms</span>
    <span class="n">tl_pred_all</span><span class="p">[</span><span class="n">idx</span><span class="o">*</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">):(</span><span class="n">idx</span><span class="o">+</span><span class="mi">1</span><span class="p">)</span><span class="o">*</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">)</span> <span class="p">,</span> <span class="p">:,</span> <span class="p">:]</span> <span class="o">=</span> <span class="n">tl_target_tone</span>
    
<span class="c1">################# CoNNear ####################################</span>
<span class="n">t</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="mf">0.</span><span class="p">,</span> <span class="n">dur</span><span class="p">,</span> <span class="mf">1.</span><span class="o">/</span><span class="n">fs</span><span class="p">)</span>
<span class="n">hanlength</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="mf">10e-3</span> <span class="o">*</span> <span class="n">fs</span><span class="p">)</span>

<span class="c1"># initialize an empty array for storing all the excitation patterns</span>
<span class="n">y_bm_connear_all</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">)</span><span class="o">*</span><span class="nb">len</span><span class="p">(</span><span class="n">CFs</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">CF_TL</span><span class="p">)))</span> 
<span class="n">connear_pred_all</span><span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">)</span><span class="o">*</span><span class="nb">len</span><span class="p">(</span><span class="n">CFs</span><span class="p">),</span> <span class="n">window_len</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">CF_TL</span><span class="p">)))</span> <span class="c1"># to store all prediction ouputs</span>

<span class="k">for</span> <span class="n">idx</span><span class="p">,</span> <span class="n">f_tone</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">CFs</span><span class="p">):</span>
    <span class="n">stim_sin</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="mi">2</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">pi</span> <span class="o">*</span> <span class="n">f_tone</span> <span class="o">*</span> <span class="n">t</span><span class="p">)</span>
    <span class="n">han</span> <span class="o">=</span> <span class="n">signal</span><span class="o">.</span><span class="n">windows</span><span class="o">.</span><span class="n">hann</span><span class="p">(</span><span class="n">hanlength</span><span class="p">)</span>
    <span class="n">stim_sin</span><span class="p">[:</span><span class="nb">int</span><span class="p">(</span><span class="n">hanlength</span><span class="o">/</span><span class="mi">2</span><span class="p">)]</span> <span class="o">=</span> <span class="n">stim_sin</span><span class="p">[:</span><span class="nb">int</span><span class="p">(</span><span class="n">hanlength</span><span class="o">/</span><span class="mi">2</span><span class="p">)]</span> <span class="o">*</span> <span class="n">han</span><span class="p">[:</span><span class="nb">int</span><span class="p">(</span><span class="n">hanlength</span><span class="o">/</span><span class="mi">2</span><span class="p">)]</span>
    <span class="n">stim_sin</span><span class="p">[</span><span class="o">-</span><span class="nb">int</span><span class="p">(</span><span class="n">hanlength</span><span class="o">/</span><span class="mi">2</span><span class="p">):]</span> <span class="o">=</span> <span class="n">stim_sin</span><span class="p">[</span><span class="o">-</span><span class="nb">int</span><span class="p">(</span><span class="n">hanlength</span><span class="o">/</span><span class="mi">2</span><span class="p">):]</span> <span class="o">*</span> <span class="n">han</span><span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">hanlength</span><span class="o">/</span><span class="mi">2</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">zeros</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">),</span> <span class="nb">int</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">stim_sin</span><span class="p">))))</span>
    <span class="n">total_length</span> <span class="o">=</span> <span class="n">window_len</span> <span class="o">+</span> <span class="n">right_context</span> <span class="o">+</span> <span class="n">left_context</span> 
    <span class="n">stim</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">),</span> <span class="n">total_length</span><span class="p">))</span>
    <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">)):</span>
        <span class="n">stim</span><span class="p">[</span><span class="n">j</span><span class="p">,</span><span class="n">right_context</span><span class="p">:</span><span class="n">window_len</span><span class="o">+</span><span class="n">right_context</span><span class="p">]</span> <span class="o">=</span> <span class="n">p0</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span> <span class="o">*</span> <span class="mi">10</span><span class="o">**</span><span class="p">(</span><span class="n">L</span><span class="p">[</span><span class="n">j</span><span class="p">]</span><span class="o">/</span><span class="mi">20</span><span class="p">)</span> <span class="o">*</span> <span class="n">stim_sin</span>
    
    <span class="c1"># prepare for feeding to the DNN</span>
    <span class="n">stim</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">stim</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>

    <span class="n">connear_pred_tone</span> <span class="o">=</span> <span class="n">connear</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">stim</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
    <span class="n">bmm_tone_connear</span> <span class="o">=</span> <span class="n">connear_pred_tone</span>
    <span class="n">bmm_tone_connear</span><span class="o">.</span><span class="n">shape</span>
    <span class="n">connear_pred_tone_rms</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">vstack</span><span class="p">([</span><span class="n">rms</span><span class="p">(</span><span class="n">bmm_tone_connear</span><span class="p">[</span><span class="n">i</span><span class="p">])</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">))])</span>
  
    <span class="n">y_bm_connear_all</span><span class="p">[</span> <span class="n">idx</span><span class="o">*</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">):(</span><span class="n">idx</span><span class="o">+</span><span class="mi">1</span><span class="p">)</span><span class="o">*</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">)</span> <span class="p">,</span> <span class="p">:]</span> <span class="o">=</span> <span class="n">connear_pred_tone_rms</span>
    <span class="n">connear_pred_all</span><span class="p">[</span><span class="n">idx</span><span class="o">*</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">):(</span><span class="n">idx</span><span class="o">+</span><span class="mi">1</span><span class="p">)</span><span class="o">*</span><span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">)</span> <span class="p">,</span> <span class="p">:,</span> <span class="p">:]</span> <span class="o">=</span> <span class="n">bmm_tone_connear</span>
    
<span class="c1">################ Plots ######################################</span>
<span class="n">L2Loss</span> <span class="o">=</span> <span class="p">[[]</span> <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="n">L</span><span class="p">]</span>
<span class="n">cf_index</span> <span class="o">=</span> <span class="o">-</span><span class="mi">1</span>
<span class="k">for</span> <span class="n">row</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">CFs</span><span class="p">)</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">)):</span>
    <span class="n">level_index</span> <span class="o">=</span> <span class="n">row</span> <span class="o">%</span> <span class="nb">len</span><span class="p">(</span><span class="n">L</span><span class="p">)</span>
    <span class="k">if</span> <span class="n">level_index</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
        <span class="n">cf_index</span> <span class="o">+=</span> <span class="mi">1</span>
    <span class="n">l2_loss</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">square</span><span class="p">(</span><span class="n">y_bm_connear_all</span><span class="p">[</span><span class="n">row</span><span class="p">,:]</span> <span class="o">-</span> <span class="n">y_bm_tl_all</span><span class="p">[</span><span class="n">row</span><span class="p">,:])))</span>
    <span class="n">cf</span> <span class="o">=</span> <span class="n">CFs</span><span class="p">[</span><span class="n">cf_index</span><span class="p">]</span>
    <span class="n">L2Loss</span><span class="p">[</span><span class="n">level_index</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">([</span><span class="n">cf</span><span class="p">,</span> <span class="n">l2_loss</span><span class="p">])</span>

<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
<span class="n">ax</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">add_subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
<span class="n">colors</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;red&#39;</span><span class="p">,</span> <span class="s1">&#39;blue&#39;</span><span class="p">,</span> <span class="s1">&#39;green&#39;</span><span class="p">,</span> <span class="s1">&#39;black&#39;</span><span class="p">,</span> <span class="s1">&#39;orange&#39;</span><span class="p">,</span> <span class="s1">&#39;cyan&#39;</span><span class="p">,</span><span class="s1">&#39;gray&#39;</span><span class="p">,</span><span class="s1">&#39;yellow&#39;</span><span class="p">,</span><span class="s1">&#39;magenta&#39;</span><span class="p">]</span>

<span class="k">for</span> <span class="n">data</span><span class="p">,</span> <span class="n">color</span><span class="p">,</span> <span class="n">level</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">L2Loss</span><span class="p">,</span> <span class="n">colors</span><span class="p">,</span> <span class="n">L</span><span class="p">):</span>
    <span class="n">x</span> <span class="o">=</span> <span class="p">[]</span>
    <span class="n">y</span> <span class="o">=</span> <span class="p">[]</span>
    <span class="k">for</span> <span class="n">x_</span><span class="p">,</span> <span class="n">y_</span> <span class="ow">in</span> <span class="n">data</span><span class="p">:</span>
        <span class="n">x</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">x_</span><span class="p">)</span>
        <span class="n">y</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">y_</span><span class="p">)</span>
    <span class="n">ax</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.8</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="n">color</span><span class="p">,</span> <span class="n">edgecolors</span><span class="o">=</span><span class="s1">&#39;none&#39;</span><span class="p">,</span> <span class="n">s</span><span class="o">=</span><span class="mi">30</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="n">level</span><span class="p">)</span>
    <span class="n">ax</span><span class="o">.</span><span class="n">set_xscale</span><span class="p">(</span><span class="s1">&#39;log&#39;</span><span class="p">)</span>
    
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Scatter plot of RMS Error&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="s2">&quot;upper left&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
</pre></div>

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<pre>running human auditory model 2018: Verhulst, Altoe, Vasilkov
cochlear simulation: done
running human auditory model 2018: Verhulst, Altoe, Vasilkov
cochlear simulation: done
running human auditory model 2018: Verhulst, Altoe, Vasilkov
cochlear simulation: done
running human auditory model 2018: Verhulst, Altoe, Vasilkov
cochlear simulation: done
running human auditory model 2018: Verhulst, Altoe, Vasilkov
cochlear simulation: done
running human auditory model 2018: Verhulst, Altoe, Vasilkov
cochlear simulation: done
running human auditory model 2018: Verhulst, Altoe, Vasilkov
cochlear simulation: done
running human auditory model 2018: Verhulst, Altoe, Vasilkov
cochlear simulation: done
10/10 [==============================] - 2s 245ms/step
10/10 [==============================] - 2s 213ms/step
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10/10 [==============================] - 2s 214ms/step
10/10 [==============================] - 2s 217ms/step
10/10 [==============================] - 2s 216ms/step
10/10 [==============================] - 2s 215ms/step
10/10 [==============================] - 2s 218ms/step
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