Project_Tripadvisor.html

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<title>Project_Tripadvisor</title>

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}
.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;
  background-color: #398439;
  border-color: #255625;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  background-image: none;
}
.notification_widget.success.disabled:hover,
.notification_widget.success[disabled]:hover,
fieldset[disabled] .notification_widget.success:hover,
.notification_widget.success.disabled:focus,
.notification_widget.success[disabled]:focus,
fieldset[disabled] .notification_widget.success:focus,
.notification_widget.success.disabled.focus,
.notification_widget.success[disabled].focus,
fieldset[disabled] .notification_widget.success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.notification_widget.info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info:focus,
.notification_widget.info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.notification_widget.info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active:hover,
.notification_widget.info.active:hover,
.open > .dropdown-toggle.notification_widget.info:hover,
.notification_widget.info:active:focus,
.notification_widget.info.active:focus,
.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  background-image: none;
}
.notification_widget.info.disabled:hover,
.notification_widget.info[disabled]:hover,
fieldset[disabled] .notification_widget.info:hover,
.notification_widget.info.disabled:focus,
.notification_widget.info[disabled]:focus,
fieldset[disabled] .notification_widget.info:focus,
.notification_widget.info.disabled.focus,
.notification_widget.info[disabled].focus,
fieldset[disabled] .notification_widget.info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.notification_widget.danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger:focus,
.notification_widget.danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.notification_widget.danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active:hover,
.notification_widget.danger.active:hover,
.open > .dropdown-toggle.notification_widget.danger:hover,
.notification_widget.danger:active:focus,
.notification_widget.danger.active:focus,
.open > .dropdown-toggle.notification_widget.danger:focus,
.notification_widget.danger:active.focus,
.notification_widget.danger.active.focus,
.open > .dropdown-toggle.notification_widget.danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  background-image: none;
}
.notification_widget.danger.disabled:hover,
.notification_widget.danger[disabled]:hover,
fieldset[disabled] .notification_widget.danger:hover,
.notification_widget.danger.disabled:focus,
.notification_widget.danger[disabled]:focus,
fieldset[disabled] .notification_widget.danger:focus,
.notification_widget.danger.disabled.focus,
.notification_widget.danger[disabled].focus,
fieldset[disabled] .notification_widget.danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger .badge {
  color: #d9534f;
  background-color: #fff;
}
div#pager {
  background-color: #fff;
  font-size: 14px;
  line-height: 20px;
  overflow: hidden;
  display: none;
  position: fixed;
  bottom: 0px;
  width: 100%;
  max-height: 50%;
  padding-top: 8px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  /* Display over codemirror */
  z-index: 100;
  /* Hack which prevents jquery ui resizable from changing top. */
  top: auto !important;
}
div#pager pre {
  line-height: 1.21429em;
  color: #000;
  background-color: #f7f7f7;
  padding: 0.4em;
}
div#pager #pager-button-area {
  position: absolute;
  top: 8px;
  right: 20px;
}
div#pager #pager-contents {
  position: relative;
  overflow: auto;
  width: 100%;
  height: 100%;
}
div#pager #pager-contents #pager-container {
  position: relative;
  padding: 15px 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
div#pager .ui-resizable-handle {
  top: 0px;
  height: 8px;
  background: #f7f7f7;
  border-top: 1px solid #cfcfcf;
  border-bottom: 1px solid #cfcfcf;
  /* This injects handle bars (a short, wide = symbol) for 
        the resize handle. */
}
div#pager .ui-resizable-handle::after {
  content: '';
  top: 2px;
  left: 50%;
  height: 3px;
  width: 30px;
  margin-left: -15px;
  position: absolute;
  border-top: 1px solid #cfcfcf;
}
.quickhelp {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  line-height: 1.8em;
}
.shortcut_key {
  display: inline-block;
  width: 21ex;
  text-align: right;
  font-family: monospace;
}
.shortcut_descr {
  display: inline-block;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
span.save_widget {
  height: 30px;
  margin-top: 4px;
  display: flex;
  justify-content: flex-start;
  align-items: baseline;
  width: 50%;
  flex: 1;
}
span.save_widget span.filename {
  height: 100%;
  line-height: 1em;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  text-overflow: ellipsis;
  overflow: hidden;
  white-space: nowrap;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
[dir="rtl"] span.save_widget.pull-left {
  float: right !important;
  float: right;
}
[dir="rtl"] span.save_widget span.filename {
  margin-left: 0;
  margin-right: 16px;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
  white-space: nowrap;
  padding: 0 5px;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
    padding: 0 0 0 5px;
  }
  span.checkpoint_status,
  span.autosave_status {
    display: none;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  span.checkpoint_status {
    display: none;
  }
  span.autosave_status {
    font-size: x-small;
  }
}
.toolbar {
  padding: 0px;
  margin-left: -5px;
  margin-top: 2px;
  margin-bottom: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.toolbar select,
.toolbar label {
  width: auto;
  vertical-align: middle;
  margin-right: 2px;
  margin-bottom: 0px;
  display: inline;
  font-size: 92%;
  margin-left: 0.3em;
  margin-right: 0.3em;
  padding: 0px;
  padding-top: 3px;
}
.toolbar .btn {
  padding: 2px 8px;
}
.toolbar .btn-group {
  margin-top: 0px;
  margin-left: 5px;
}
.toolbar-btn-label {
  margin-left: 6px;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
  min-height: 27px;
  margin-left: 0px;
  padding-top: 11px;
  padding-bottom: 3px;
}
#maintoolbar .navbar-text {
  float: none;
  vertical-align: middle;
  text-align: right;
  margin-left: 5px;
  margin-right: 0px;
  margin-top: 0px;
}
.select-xs {
  height: 24px;
}
[dir="rtl"] .btn-group > .btn,
.btn-group-vertical > .btn {
  float: right;
}
.pulse,
.dropdown-menu > li > a.pulse,
li.pulse > a.dropdown-toggle,
li.pulse.open > a.dropdown-toggle {
  background-color: #F37626;
  color: white;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
/** WARNING IF YOU ARE EDITTING THIS FILE, if this is a .css file, It has a lot
 * of chance of beeing generated from the ../less/[samename].less file, you can
 * try to get back the less file by reverting somme commit in history
 **/
/*
 * We'll try to get something pretty, so we
 * have some strange css to have the scroll bar on
 * the left with fix button on the top right of the tooltip
 */
@-moz-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-webkit-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-moz-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
@-webkit-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
/*properties of tooltip after "expand"*/
.bigtooltip {
  overflow: auto;
  height: 200px;
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
}
/*properties of tooltip before "expand"*/
.smalltooltip {
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
  text-overflow: ellipsis;
  overflow: hidden;
  height: 80px;
}
.tooltipbuttons {
  position: absolute;
  padding-right: 15px;
  top: 0px;
  right: 0px;
}
.tooltiptext {
  /*avoid the button to overlap on some docstring*/
  padding-right: 30px;
}
.ipython_tooltip {
  max-width: 700px;
  /*fade-in animation when inserted*/
  -webkit-animation: fadeOut 400ms;
  -moz-animation: fadeOut 400ms;
  animation: fadeOut 400ms;
  -webkit-animation: fadeIn 400ms;
  -moz-animation: fadeIn 400ms;
  animation: fadeIn 400ms;
  vertical-align: middle;
  background-color: #f7f7f7;
  overflow: visible;
  border: #ababab 1px solid;
  outline: none;
  padding: 3px;
  margin: 0px;
  padding-left: 7px;
  font-family: monospace;
  min-height: 50px;
  -moz-box-shadow: 0px 6px 10px -1px #adadad;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  border-radius: 2px;
  position: absolute;
  z-index: 1000;
}
.ipython_tooltip a {
  float: right;
}
.ipython_tooltip .tooltiptext pre {
  border: 0;
  border-radius: 0;
  font-size: 100%;
  background-color: #f7f7f7;
}
.pretooltiparrow {
  left: 0px;
  margin: 0px;
  top: -16px;
  width: 40px;
  height: 16px;
  overflow: hidden;
  position: absolute;
}
.pretooltiparrow:before {
  background-color: #f7f7f7;
  border: 1px #ababab solid;
  z-index: 11;
  content: "";
  position: absolute;
  left: 15px;
  top: 10px;
  width: 25px;
  height: 25px;
  -webkit-transform: rotate(45deg);
  -moz-transform: rotate(45deg);
  -ms-transform: rotate(45deg);
  -o-transform: rotate(45deg);
}
ul.typeahead-list i {
  margin-left: -10px;
  width: 18px;
}
[dir="rtl"] ul.typeahead-list i {
  margin-left: 0;
  margin-right: -10px;
}
ul.typeahead-list {
  max-height: 80vh;
  overflow: auto;
}
ul.typeahead-list > li > a {
  /** Firefox bug **/
  /* see https://github.com/jupyter/notebook/issues/559 */
  white-space: normal;
}
ul.typeahead-list  > li > a.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .typeahead-list {
  text-align: right;
}
.cmd-palette .modal-body {
  padding: 7px;
}
.cmd-palette form {
  background: white;
}
.cmd-palette input {
  outline: none;
}
.no-shortcut {
  min-width: 20px;
  color: transparent;
}
[dir="rtl"] .no-shortcut.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .command-shortcut.pull-right {
  float: left !important;
  float: left;
}
.command-shortcut:before {
  content: "(command mode)";
  padding-right: 3px;
  color: #777777;
}
.edit-shortcut:before {
  content: "(edit)";
  padding-right: 3px;
  color: #777777;
}
[dir="rtl"] .edit-shortcut.pull-right {
  float: left !important;
  float: left;
}
#find-and-replace #replace-preview .match,
#find-and-replace #replace-preview .insert {
  background-color: #BBDEFB;
  border-color: #90CAF9;
  border-style: solid;
  border-width: 1px;
  border-radius: 0px;
}
[dir="ltr"] #find-and-replace .input-group-btn + .form-control {
  border-left: none;
}
[dir="rtl"] #find-and-replace .input-group-btn + .form-control {
  border-right: none;
}
#find-and-replace #replace-preview .replace .match {
  background-color: #FFCDD2;
  border-color: #EF9A9A;
  border-radius: 0px;
}
#find-and-replace #replace-preview .replace .insert {
  background-color: #C8E6C9;
  border-color: #A5D6A7;
  border-radius: 0px;
}
#find-and-replace #replace-preview {
  max-height: 60vh;
  overflow: auto;
}
#find-and-replace #replace-preview pre {
  padding: 5px 10px;
}
.terminal-app {
  background: #EEE;
}
.terminal-app #header {
  background: #fff;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.terminal-app .terminal {
  width: 100%;
  float: left;
  font-family: monospace;
  color: white;
  background: black;
  padding: 0.4em;
  border-radius: 2px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
}
.terminal-app .terminal,
.terminal-app .terminal dummy-screen {
  line-height: 1em;
  font-size: 14px;
}
.terminal-app .terminal .xterm-rows {
  padding: 10px;
}
.terminal-app .terminal-cursor {
  color: black;
  background: white;
}
.terminal-app #terminado-container {
  margin-top: 20px;
}
/*# sourceMappingURL=style.min.css.map */
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<style type="text/css">
    .highlight .hll { background-color: #ffffcc }
.highlight  { background: #f8f8f8; }
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.highlight .k { color: #008000; font-weight: bold } /* Keyword */
.highlight .o { color: #666666 } /* Operator */
.highlight .ch { color: #408080; font-style: italic } /* Comment.Hashbang */
.highlight .cm { color: #408080; font-style: italic } /* Comment.Multiline */
.highlight .cp { color: #BC7A00 } /* Comment.Preproc */
.highlight .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */
.highlight .c1 { color: #408080; font-style: italic } /* Comment.Single */
.highlight .cs { color: #408080; font-style: italic } /* Comment.Special */
.highlight .gd { color: #A00000 } /* Generic.Deleted */
.highlight .ge { font-style: italic } /* Generic.Emph */
.highlight .gr { color: #FF0000 } /* Generic.Error */
.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
.highlight .gi { color: #00A000 } /* Generic.Inserted */
.highlight .go { color: #888888 } /* Generic.Output */
.highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
.highlight .gs { font-weight: bold } /* Generic.Strong */
.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
.highlight .gt { color: #0044DD } /* Generic.Traceback */
.highlight .kc { color: #008000; font-weight: bold } /* Keyword.Constant */
.highlight .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */
.highlight .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */
.highlight .kp { color: #008000 } /* Keyword.Pseudo */
.highlight .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */
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.highlight .m { color: #666666 } /* Literal.Number */
.highlight .s { color: #BA2121 } /* Literal.String */
.highlight .na { color: #7D9029 } /* Name.Attribute */
.highlight .nb { color: #008000 } /* Name.Builtin */
.highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */
.highlight .no { color: #880000 } /* Name.Constant */
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.highlight .ne { color: #D2413A; font-weight: bold } /* Name.Exception */
.highlight .nf { color: #0000FF } /* Name.Function */
.highlight .nl { color: #A0A000 } /* Name.Label */
.highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
.highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */
.highlight .nv { color: #19177C } /* Name.Variable */
.highlight .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */
.highlight .w { color: #bbbbbb } /* Text.Whitespace */
.highlight .mb { color: #666666 } /* Literal.Number.Bin */
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.highlight .mi { color: #666666 } /* Literal.Number.Integer */
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.highlight .sa { color: #BA2121 } /* Literal.String.Affix */
.highlight .sb { color: #BA2121 } /* Literal.String.Backtick */
.highlight .sc { color: #BA2121 } /* Literal.String.Char */
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.highlight .s2 { color: #BA2121 } /* Literal.String.Double */
.highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */
.highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */
.highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */
.highlight .sx { color: #008000 } /* Literal.String.Other */
.highlight .sr { color: #BB6688 } /* Literal.String.Regex */
.highlight .s1 { color: #BA2121 } /* Literal.String.Single */
.highlight .ss { color: #19177C } /* Literal.String.Symbol */
.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
.highlight .fm { color: #0000FF } /* Name.Function.Magic */
.highlight .vc { color: #19177C } /* Name.Variable.Class */
.highlight .vg { color: #19177C } /* Name.Variable.Global */
.highlight .vi { color: #19177C } /* Name.Variable.Instance */
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.highlight .il { color: #666666 } /* Literal.Number.Integer.Long */
    </style>


<style type="text/css">
/* Overrides of notebook CSS for static HTML export */
body {
  overflow: visible;
  padding: 8px;
}

div#notebook {
  overflow: visible;
  border-top: none;
}@media print {
  div.cell {
    display: block;
    page-break-inside: avoid;
  } 
  div.output_wrapper { 
    display: block;
    page-break-inside: avoid; 
  }
  div.output { 
    display: block;
    page-break-inside: avoid; 
  }
}
</style>

<!-- Custom stylesheet, it must be in the same directory as the html file -->
<link rel="stylesheet" href="custom.css">

<!-- Loading mathjax macro -->
<!-- Load mathjax -->
    <script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/latest.js?config=TeX-AMS_HTML"></script>
    <!-- MathJax configuration -->
    <script type="text/x-mathjax-config">
    MathJax.Hub.Config({
        tex2jax: {
            inlineMath: [ ['$','$'], ["\\(","\\)"] ],
            displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
            processEscapes: true,
            processEnvironments: true
        },
        // Center justify equations in code and markdown cells. Elsewhere
        // we use CSS to left justify single line equations in code cells.
        displayAlign: 'center',
        "HTML-CSS": {
            styles: {'.MathJax_Display': {"margin": 0}},
            linebreaks: { automatic: true }
        }
    });
    </script>
    <!-- End of mathjax configuration --></head>
<body>
  <div tabindex="-1" id="notebook" class="border-box-sizing">
    <div class="container" id="notebook-container">

<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>$\Huge{Recommender\ \ system\ \ for\ \ restaurant\ \ choice}$</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>$\huge{Introduction}$</p>
<p>Where am I going to eat tonight ?</p>
<p>The objective of this project is to get informations on preferences of some customers about different restaurants, and knowing my own opinions about some of these restaurants, to be able to propose a recommendation in order to go and eat at a restaurant that I will really like most surely.
To achieve this, I have decided to scrap the website tripadvisor in order to get the ratings of users about restaurants (these ratings go from 1 if they didn't like it to 5 if they loved it), and then to transform these data into a very large and sparse matrix in order to create a recommender system. It means that we will be able throught some machine learning procedures to guess for each user (myself included) the ratings they would have given to restaurants if they went to eat in there, and with this information to propose the top restaurants where they would like to eat, but they don't know it yet.</p>

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<p>$\huge{Web scraping}$</p>

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<p>In order to build my dataset, I have scraped the 300 first pages of tripadvisor about restaurants in Paris. There are in total more than 500 pages but this gave me enough data and the further you go on those pages, the lesser reviews you get so the last 200 pages are not that usefull for my study.
Each page contains 30 restaurants with the links to their own pages, and then when you go to one specific restaurant, you will have at the bottom the first 10 reviews, and the links to the other pages of reviews. Some restaurants have up to 3000 reviews, but most of them only have around 400-500. Needless to say, this procedure took literally for ever (four or five days with two computers), especially because a typo made me do it twice, and also because it seemed like tripadvisor changed some tags during the process, so I had to re-check everything and run it again since it wouldn't work otherwise.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">bs4</span>
<span class="kn">from</span> <span class="nn">urllib</span> <span class="k">import</span> <span class="n">request</span>

<span class="n">list_url_night_1</span> <span class="o">=</span> <span class="p">[</span><span class="n">x</span><span class="o">*</span><span class="mi">30</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="mi">300</span><span class="p">)]</span>

<span class="n">list_reviews</span> <span class="o">=</span> <span class="p">[]</span>
<span class="n">list_names</span> <span class="o">=</span> <span class="p">[]</span>
<span class="n">list_restaurant</span> <span class="o">=</span> <span class="p">[]</span>

<span class="c1"># Do this for the 300 first pages of tripadvisor:</span>
<span class="k">for</span> <span class="n">url_nbr</span> <span class="ow">in</span> <span class="n">list_url_night_1</span><span class="p">:</span>
    
    <span class="c1"># url of a page containing 30 restaurant in tripadvisor: (only the part &quot;url_nbr&quot; changes when going through each page)</span>
    <span class="n">url_tripadvisor</span> <span class="o">=</span> <span class="s2">&quot;https://www.tripadvisor.fr/RestaurantSearch-g187147-oa&quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">url_nbr</span><span class="p">)</span> <span class="o">+</span> <span class="s2">&quot;-a_date.2020__2D__01__2D__26-a_people.2-a_time.20%3A00%3A00-a_zur.2020__5F__01__5F__26-Paris_Il.html#EATERY_LIST_CONTENTS&quot;</span>
    <span class="n">request_text</span> <span class="o">=</span> <span class="n">request</span><span class="o">.</span><span class="n">urlopen</span><span class="p">(</span><span class="n">url_tripadvisor</span><span class="p">)</span><span class="o">.</span><span class="n">read</span><span class="p">()</span>
    <span class="n">page</span> <span class="o">=</span> <span class="n">bs4</span><span class="o">.</span><span class="n">BeautifulSoup</span><span class="p">(</span><span class="n">request_text</span><span class="p">,</span> <span class="s2">&quot;html.parser&quot;</span><span class="p">)</span>
    
    <span class="c1"># Get for all 30 restaurants the link to the reviews page</span>
    <span class="k">for</span> <span class="n">restaurant</span> <span class="ow">in</span> <span class="n">page</span><span class="o">.</span><span class="n">findAll</span><span class="p">(</span><span class="s2">&quot;div&quot;</span><span class="p">,</span> <span class="p">{</span><span class="s2">&quot;class&quot;</span><span class="p">:</span> <span class="s2">&quot;_1llCuDZj&quot;</span><span class="p">}):</span>
        <span class="k">try</span><span class="p">:</span>
            <span class="c1"># Skip the first one which is not a restaurant</span>
            <span class="k">if</span> <span class="n">restaurant</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;data-test&quot;</span><span class="p">)</span> <span class="o">!=</span> <span class="s1">&#39;SL_list_item&#39;</span><span class="p">:</span>
                
                <span class="c1"># Get the restaurant link</span>
                <span class="n">url_link</span> <span class="o">=</span> <span class="n">restaurant</span><span class="o">.</span><span class="n">find</span><span class="p">(</span><span class="s2">&quot;div&quot;</span><span class="p">,</span> <span class="p">{</span><span class="s2">&quot;class&quot;</span><span class="p">:</span> <span class="s2">&quot;wQjYiB7z&quot;</span><span class="p">})</span><span class="o">.</span><span class="n">span</span><span class="o">.</span><span class="n">a</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;href&quot;</span><span class="p">)</span>
                <span class="c1"># Get the restaurant name</span>
                <span class="n">restaurant_name</span> <span class="o">=</span> <span class="n">restaurant</span><span class="o">.</span><span class="n">find</span><span class="p">(</span><span class="s2">&quot;div&quot;</span><span class="p">,</span> <span class="p">{</span><span class="s2">&quot;class&quot;</span><span class="p">:</span> <span class="s2">&quot;wQjYiB7z&quot;</span><span class="p">})</span><span class="o">.</span><span class="n">span</span><span class="o">.</span><span class="n">a</span><span class="o">.</span><span class="n">getText</span><span class="p">()</span>
                
                <span class="c1"># Get the number of pages of reviews of this restaurant</span>
                <span class="n">strainer_nb</span> <span class="o">=</span> <span class="n">bs4</span><span class="o">.</span><span class="n">SoupStrainer</span><span class="p">(</span><span class="s2">&quot;div&quot;</span><span class="p">,</span> <span class="p">{</span><span class="s2">&quot;class&quot;</span><span class="p">:</span> <span class="s2">&quot;pageNumbers&quot;</span><span class="p">})</span>
                <span class="n">request_text_np_page</span> <span class="o">=</span> <span class="n">request</span><span class="o">.</span><span class="n">urlopen</span><span class="p">(</span><span class="s2">&quot;https://www.tripadvisor.fr&quot;</span> <span class="o">+</span> <span class="n">url_link</span><span class="p">)</span><span class="o">.</span><span class="n">read</span><span class="p">()</span>
                <span class="n">page_review_nb_page</span> <span class="o">=</span> <span class="n">bs4</span><span class="o">.</span><span class="n">BeautifulSoup</span><span class="p">(</span><span class="n">request_text_np_page</span><span class="p">,</span> <span class="s2">&quot;html.parser&quot;</span><span class="p">,</span> <span class="n">parse_only</span><span class="o">=</span><span class="n">strainer_nb</span><span class="p">)</span>
                <span class="n">n_page_reviews</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">page_review_nb_page</span><span class="o">.</span><span class="n">find</span><span class="p">(</span><span class="s2">&quot;div&quot;</span><span class="p">,</span> <span class="p">{</span><span class="s2">&quot;class&quot;</span><span class="p">:</span> <span class="s2">&quot;pageNumbers&quot;</span><span class="p">})</span><span class="o">.</span><span class="n">findAll</span><span class="p">(</span><span class="s2">&quot;a&quot;</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">get</span><span class="p">(</span><span class="s2">&quot;data-page-number&quot;</span><span class="p">))</span>
                
                <span class="n">list_page_reviews</span> <span class="o">=</span> <span class="p">[</span><span class="n">x</span><span class="o">*</span><span class="mi">10</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">n_page_reviews</span><span class="p">)]</span>
                <span class="c1"># There are 10 reviews per pages</span>
                <span class="c1"># Get for all pages of reviews the users and the ratings </span>
                <span class="k">for</span> <span class="n">l_p_r</span> <span class="ow">in</span> <span class="n">list_page_reviews</span><span class="p">:</span>
                    
                    <span class="n">strainer_review</span> <span class="o">=</span> <span class="n">bs4</span><span class="o">.</span><span class="n">SoupStrainer</span><span class="p">(</span><span class="s2">&quot;div&quot;</span><span class="p">,</span> <span class="p">{</span><span class="s2">&quot;class&quot;</span><span class="p">:</span> <span class="s2">&quot;review-container&quot;</span><span class="p">})</span>
                    <span class="n">url_link_modified</span> <span class="o">=</span> <span class="s2">&quot;-&quot;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">url_link</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">&quot;-&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">:</span><span class="mi">4</span><span class="p">])</span> <span class="o">+</span> <span class="s2">&quot;-or&quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">l_p_r</span><span class="p">)</span> <span class="o">+</span> <span class="s2">&quot;-&quot;</span> <span class="o">+</span> <span class="s2">&quot;-&quot;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">url_link</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">&quot;-&quot;</span><span class="p">)[</span><span class="mi">4</span><span class="p">:</span><span class="mi">6</span><span class="p">])</span>
                    <span class="n">request_text</span> <span class="o">=</span> <span class="n">request</span><span class="o">.</span><span class="n">urlopen</span><span class="p">(</span><span class="s2">&quot;https://www.tripadvisor.fr&quot;</span> <span class="o">+</span> <span class="n">url_link_modified</span><span class="p">)</span><span class="o">.</span><span class="n">read</span><span class="p">()</span>
                    <span class="n">page_review</span> <span class="o">=</span> <span class="n">bs4</span><span class="o">.</span><span class="n">BeautifulSoup</span><span class="p">(</span><span class="n">request_text</span><span class="p">,</span> <span class="s2">&quot;html.parser&quot;</span><span class="p">)</span>   
                    <span class="c1"># Sometimes a name or a review is missing so we need to check it:</span>
                    <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">page_review</span><span class="o">.</span><span class="n">findAll</span><span class="p">(</span><span class="s2">&quot;div&quot;</span><span class="p">,</span> <span class="p">{</span><span class="s2">&quot;class&quot;</span><span class="p">:</span> <span class="s2">&quot;info_text pointer_cursor&quot;</span><span class="p">}))</span> <span class="o">==</span> <span class="mi">10</span><span class="p">:</span>
                        <span class="k">for</span> <span class="n">review</span> <span class="ow">in</span> <span class="n">page_review</span><span class="o">.</span><span class="n">findAll</span><span class="p">(</span><span class="s2">&quot;div&quot;</span><span class="p">,</span> <span class="p">{</span><span class="s2">&quot;class&quot;</span><span class="p">:</span> <span class="s2">&quot;review-container&quot;</span><span class="p">}):</span>
                            <span class="c1"># name of the restaurant in a list</span>
                            <span class="n">list_restaurant</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">restaurant_name</span><span class="p">)</span>
                            <span class="k">try</span><span class="p">:</span>
                                <span class="c1"># review in a list</span>
                                <span class="n">list_reviews</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">review</span><span class="o">.</span><span class="n">find</span><span class="p">(</span><span class="s2">&quot;div&quot;</span><span class="p">,</span> <span class="p">{</span><span class="s2">&quot;class&quot;</span><span class="p">:</span> <span class="s2">&quot;ui_column is-9&quot;</span><span class="p">})</span><span class="o">.</span><span class="n">span</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;class&quot;</span><span class="p">)[</span><span class="mi">1</span><span class="p">])</span>
                                <span class="c1"># name of user in a list</span>
                                <span class="n">list_names</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">review</span><span class="o">.</span><span class="n">find</span><span class="p">(</span><span class="s2">&quot;div&quot;</span><span class="p">,</span> <span class="p">{</span><span class="s2">&quot;class&quot;</span><span class="p">:</span> <span class="s2">&quot;info_text pointer_cursor&quot;</span><span class="p">})</span><span class="o">.</span><span class="n">div</span><span class="o">.</span><span class="n">getText</span><span class="p">())</span>
                            <span class="k">except</span><span class="p">:</span>
                                <span class="n">list_reviews</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="s2">&quot;NaN&quot;</span><span class="p">)</span>
                                <span class="n">list_names</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="s2">&quot;NaN&quot;</span><span class="p">)</span>
                    <span class="k">else</span><span class="p">:</span>
                        <span class="nb">print</span><span class="p">(</span><span class="kc">None</span><span class="p">)</span>
        <span class="k">except</span><span class="p">:</span>
            <span class="nb">print</span><span class="p">(</span><span class="kc">None</span><span class="p">)</span>

<span class="c1"># Export as csv    </span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s2">&quot;restaurant&quot;</span><span class="p">:</span> <span class="n">list_restaurant</span><span class="p">,</span> <span class="s2">&quot;name&quot;</span><span class="p">:</span><span class="n">list_names</span><span class="p">,</span> <span class="s2">&quot;review&quot;</span><span class="p">:</span> <span class="n">list_reviews</span><span class="p">})</span>
<span class="n">df</span><span class="o">.</span><span class="n">to_csv</span><span class="p">(</span><span class="s2">&quot;/Users/julienfoenet/Desktop/ENSAE/Machine_Learning_Python/Poject_tripadvisor/dataframe_0_300.csv&quot;</span><span class="p">)</span>
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<p>$\huge{\text{Machine learning}}$</p>

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<p>$\LARGE{\text{Importation}}$</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
<span class="n">plt</span><span class="o">.</span><span class="n">style</span><span class="o">.</span><span class="n">use</span><span class="p">(</span><span class="s1">&#39;seaborn-whitegrid&#39;</span><span class="p">)</span>
<span class="n">sns</span><span class="o">.</span><span class="n">set</span><span class="p">()</span>
<span class="kn">import</span> <span class="nn">glob</span>
<span class="kn">import</span> <span class="nn">warnings</span>
<span class="n">warnings</span><span class="o">.</span><span class="n">filterwarnings</span><span class="p">(</span><span class="s1">&#39;ignore&#39;</span><span class="p">)</span>


<span class="n">all_fileusers</span> <span class="o">=</span> <span class="p">[</span><span class="n">f</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">glob</span><span class="o">.</span><span class="n">glob</span><span class="p">(</span><span class="s2">&quot;/Users/julienfoenet/Desktop/ENSAE/Machine_Learning_Python/Poject_tripadvisor/data/&quot;</span> <span class="o">+</span> <span class="s2">&quot;*.</span><span class="si">{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="s2">&quot;csv&quot;</span><span class="p">))]</span>
<span class="n">data</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">f</span><span class="p">)</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">all_fileusers</span><span class="p">])</span>

<span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Unnamed: 0</th>
      <th>name</th>
      <th>restaurant</th>
      <th>review</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>0</td>
      <td>0</td>
      <td>Camille D</td>
      <td>2101. L'Enveloppe</td>
      <td>bubble_50</td>
    </tr>
    <tr>
      <td>1</td>
      <td>1</td>
      <td>sak0u</td>
      <td>2101. L'Enveloppe</td>
      <td>bubble_50</td>
    </tr>
    <tr>
      <td>2</td>
      <td>2</td>
      <td>Juedepapaye</td>
      <td>2101. L'Enveloppe</td>
      <td>bubble_50</td>
    </tr>
    <tr>
      <td>3</td>
      <td>3</td>
      <td>agathebp13</td>
      <td>2101. L'Enveloppe</td>
      <td>bubble_50</td>
    </tr>
    <tr>
      <td>4</td>
      <td>4</td>
      <td>sandrinefomberteau</td>
      <td>2101. L'Enveloppe</td>
      <td>bubble_40</td>
    </tr>
  </tbody>
</table>
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<p>Our dataframe contains 951210 reviews</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
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<pre>(951210, 4)
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<p>$\LARGE{\text{Feature Engineering}}$</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># we notice that there is a useless column, we only want to keep the three we are intersted in</span>
<span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="p">[[</span><span class="s2">&quot;name&quot;</span><span class="p">,</span> <span class="s2">&quot;restaurant&quot;</span><span class="p">,</span> <span class="s2">&quot;review&quot;</span><span class="p">]]</span>

<span class="c1"># we rename the column &quot;name&quot; by &quot;user&quot;</span>
<span class="n">data</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="p">{</span><span class="s2">&quot;name&quot;</span><span class="p">:</span> <span class="s2">&quot;user&quot;</span><span class="p">},</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>

<span class="c1"># some users gave multiple times the same review to the same restaurant</span>
<span class="n">data</span><span class="o">.</span><span class="n">drop_duplicates</span><span class="p">(</span><span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>

<span class="c1"># the name of the users start with numbers, we want to get rid of it</span>
<span class="k">def</span> <span class="nf">remove_numbers</span><span class="p">(</span><span class="n">s</span><span class="p">):</span>
    <span class="k">return</span> <span class="s2">&quot; &quot;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">s</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">&quot; &quot;</span><span class="p">)[</span><span class="mi">1</span><span class="p">:])</span>
<span class="n">data</span><span class="p">[</span><span class="s2">&quot;restaurant&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s2">&quot;restaurant&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="n">remove_numbers</span><span class="p">)</span>

<span class="c1"># the rating are like &#39;bubble_50&#39; or &#39;bubble_40&#39; which we want to convert to 5.0 or 4.0</span>
<span class="k">def</span> <span class="nf">extract_ratings</span><span class="p">(</span><span class="n">s</span><span class="p">):</span>
    <span class="k">return</span> <span class="nb">int</span><span class="p">(</span><span class="n">s</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">&quot;_&quot;</span><span class="p">)[</span><span class="mi">1</span><span class="p">])</span> <span class="o">/</span> <span class="mi">10</span>
<span class="n">data</span><span class="p">[</span><span class="s2">&quot;review&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s2">&quot;review&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="n">extract_ratings</span><span class="p">)</span>

<span class="c1"># now that&#39;s better</span>
<span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<style scoped>
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      <td>0</td>
      <td>Camille D</td>
      <td>L'Enveloppe</td>
      <td>5.0</td>
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    <tr>
      <td>1</td>
      <td>sak0u</td>
      <td>L'Enveloppe</td>
      <td>5.0</td>
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      <td>2</td>
      <td>Juedepapaye</td>
      <td>L'Enveloppe</td>
      <td>5.0</td>
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    <tr>
      <td>3</td>
      <td>agathebp13</td>
      <td>L'Enveloppe</td>
      <td>5.0</td>
    </tr>
    <tr>
      <td>4</td>
      <td>sandrinefomberteau</td>
      <td>L'Enveloppe</td>
      <td>4.0</td>
    </tr>
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<p>$\LARGE{\text{Data Analysis}}$</p>

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<p>We notice that there are a lot more of 5 and 4 ratings than the others, that's not really surprising since most of the people tend to give reviews when they are satisfied more than when they aren't.
Aslo we can notice that there is a 0 rating, which we need to remove.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">describe</span><span class="p">())</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;------------------------&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;review&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">())</span>
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<pre>              review
count  932657.000000
mean        4.032223
std         1.146950
min         0.000000
25%         4.000000
50%         4.000000
75%         5.000000
max         5.000000
------------------------
5.0    410074
4.0    307639
3.0    103677
2.0     57458
1.0     53808
0.0         1
Name: review, dtype: int64
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;review&quot;</span><span class="p">]</span> <span class="o">!=</span> <span class="mf">0.0</span><span class="p">]</span>
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<p>$\Large{\text{The users}}$</p>

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<p>Let's check how many ratings have given each users</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;user&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
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<pre>Philippe C            597
famousserge           482
HuguesA76             401
TaDaYeah              304
Philippe B            271
                     ... 
Spacemontain            1
willy-rj                1
MarkandKimMelancon      1
Ch1611                  1
TooBlueVilla            1
Name: user, Length: 378630, dtype: int64</pre>
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<p>A lot of users have given only a few ratings, for example a number of 247973 users have given only 1 rating, which is not very informative for our model</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;user&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()[</span><span class="mi">0</span><span class="p">:</span><span class="mi">10</span><span class="p">]</span>
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<pre>1     247973
2      57482
3      24205
4      12849
5       8095
6       5400
7       3909
8       2793
9       2183
10      1835
Name: user, dtype: int64</pre>
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<p>Here we see the same thing on the plots (they are both the same plot but with logscale on the right):
a large density of users have given very few reviews.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">nrows</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">ncols</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">13</span><span class="p">,</span> <span class="mi">4</span><span class="p">))</span>
<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;user&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">(),</span> <span class="n">bins</span><span class="o">=</span><span class="mi">100</span><span class="p">)</span>
<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s2">&quot;nbr of ratings per user&quot;</span><span class="p">)</span>
<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s2">&quot;density of users&quot;</span><span class="p">)</span>
<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;user&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">(),</span> <span class="n">bins</span><span class="o">=</span><span class="mi">60</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">yscale</span><span class="p">(</span><span class="s1">&#39;log&#39;</span><span class="p">,</span> <span class="n">nonposy</span><span class="o">=</span><span class="s1">&#39;clip&#39;</span><span class="p">)</span>
<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s2">&quot;nbr of ratings per user&quot;</span><span class="p">)</span>
<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s2">&quot;density of users (logscale)&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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<p>We are then going keep in our dataset only users who gave 10 reviews or more. I have decided to do this because this will reduce the size of our dataset considerably (we keep around the half of it) without loosing a lot of information. This is very important since some of the methods that we will use later are not really memory-optimized, and we don't want them to take days for our project.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># number of values that will be removed</span>
<span class="nb">sum</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;user&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()[</span><span class="mi">0</span><span class="p">:</span><span class="mi">9</span><span class="p">])</span>
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<pre>364889</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">count_users</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;user&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
<span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;user&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">isin</span><span class="p">(</span><span class="n">count_users</span><span class="p">[</span><span class="n">count_users</span> <span class="o">&gt;=</span> <span class="mi">10</span><span class="p">]</span><span class="o">.</span><span class="n">index</span><span class="p">)]</span>
<span class="c1"># number of value we kept</span>
<span class="nb">print</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
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<pre>303479
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<p>Now we see that the average rating among all users is centered around 4.0 and has the shape of a normal distribution.</p>

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<div class=" highlight hl-ipython3"><pre><span></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">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">user_avg_rating</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="mi">60</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="s2">&quot;average rating per user&quot;</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="s2">&quot;density of users&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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<p>We notice that there is no particular correlation (or at least no trend) between the amont of reviews a user gave and its average ratings, apart from the fact that people who gave a lot of reviews are more "stablized" than people who gave very few ratings. This is actually normal since you have more chances to be at extremes ratings averages when you give only a few ratings.</p>

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<div class="prompt input_prompt">In&nbsp;[100]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">sns</span><span class="o">.</span><span class="n">jointplot</span><span class="p">(</span><span class="n">user_avg_rating</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;user&#39;</span><span class="p">)[</span><span class="s1">&#39;review&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">count</span><span class="p">())</span>
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<pre>&lt;seaborn.axisgrid.JointGrid at 0x1a30e55610&gt;</pre>
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<p>$\Large{\text{The restaurants}}$</p>

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<p>Some restaurants like "Le Bouillon Chartier" or "Le Train Bleu" have more than 1000 reviews, which is very valuable, but others like "Kifak" or "Bangkok Bistronomie" have only 1. We will then remove all the restaurants with less than 50 reviews, more or less for the same reasons as the restriction on users, except that here the lost of information is way less than for users, but the gain in term of matrix size is also lower.</p>

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<div class="prompt input_prompt">In&nbsp;[101]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;restaurant&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</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">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;restaurant&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()[</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;restaurant&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span> <span class="o">&lt;</span> <span class="mi">500</span><span class="p">],</span> <span class="n">bins</span><span class="o">=</span><span class="mi">60</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;nbr of ratings per restaurant&#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;density of restaurant&#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>Le Bouillon Chartier    1932
Le Train Bleu           1066
Léon De Bruxelles        941
La Coupole               819
Dans le Noir ?           669
                        ... 
El Barrio                  1
Cru Restaurant             1
Kifak                      1
Pizza Dino                 1
Bangkok Bistronomie        1
Name: restaurant, Length: 7756, dtype: int64
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># number of values that will be removed</span>
<span class="nb">sum</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;restaurant&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()[</span><span class="mi">0</span><span class="p">:</span><span class="mi">49</span><span class="p">])</span>
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<pre>5887</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">count_restaurants</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;restaurant&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
<span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;restaurant&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">isin</span><span class="p">(</span><span class="n">count_restaurants</span><span class="p">[</span><span class="n">count_restaurants</span> <span class="o">&gt;=</span> <span class="mi">50</span><span class="p">]</span><span class="o">.</span><span class="n">index</span><span class="p">)]</span>
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<p>When looking at the average ratings for each restaurant, we can see that the density of restaurant per ratings looks like the density of user per ratings, it it centered around 4 and has the shape of a normal distribution</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">restaurant_avg_rating</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;restaurant&#39;</span><span class="p">)[</span><span class="s1">&#39;review&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">mean</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">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">restaurant_avg_rating</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="mi">60</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;average rating per restaurant&#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;density of restaurant&#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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<p>$\LARGE{\text{Recommender system}}$</p>

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<p>As describe in the introduction, the goal here will be to predict the ratings that each user would have given to a restaurant, based on the few informations we have.
To do this we need first to transform our dataset into a matrix where the rows will be the users, the columns will be the restaurants, and the values will be the ratings of each user to each restaurant:</p>

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<div class="prompt input_prompt">In&nbsp;[190]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">rating_matrix</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">pivot_table</span><span class="p">(</span><span class="n">index</span><span class="o">=</span><span class="s1">&#39;user&#39;</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="s1">&#39;restaurant&#39;</span><span class="p">,</span> <span class="n">values</span><span class="o">=</span><span class="s1">&#39;review&#39;</span><span class="p">)</span>
<span class="n">rating_matrix</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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    <div class="prompt output_prompt">Out[190]:</div>


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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th>restaurant</th>
      <th>0039 Ristorante Italiano</th>
      <th>116 by Pages</th>
      <th>142 Creperie Contemporaine</th>
      <th>16 Haussmann</th>
      <th>20 Eiffel</th>
      <th>3 Pieces Cuisine</th>
      <th>4 Pat</th>
      <th>42 Degres</th>
      <th>58 Tour Eiffel</th>
      <th>6 New York</th>
      <th>...</th>
      <th>la table de genevieve</th>
      <th>la vache acrobate</th>
      <th>le Casse Noix</th>
      <th>le Diamant de Paris</th>
      <th>le cambodge</th>
      <th>le goyavier</th>
      <th>le papacionu</th>
      <th>o'jules</th>
      <th>touch'in paris</th>
      <th>À la Bonne Bière</th>
    </tr>
    <tr>
      <th>user</th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
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      <td>rachid  m</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <td>-Tonio-2706-</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <td>001guillaumek</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <td>00essai</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <td>057719519</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
  </tbody>
</table>
<p>5 rows × 1877 columns</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">n</span> <span class="o">=</span> <span class="n">rating_matrix</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
<span class="n">p</span> <span class="o">=</span> <span class="n">rating_matrix</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Our matrix has dimensions: </span><span class="si">{0}</span><span class="s2"> x </span><span class="si">{1}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">n</span><span class="p">,</span> <span class="n">p</span><span class="p">))</span>
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<pre>Our matrix has dimensions: 13739 x 1877
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<p>From the display above, we can think that every value of the matrix is missing, but that's not the case, there are still 195355 non-missing values amongst the 25788103 values in total</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">nb_full</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">count_nonzero</span><span class="p">(</span><span class="o">~</span><span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">rating_matrix</span><span class="p">))</span>
<span class="n">rate_NaN</span> <span class="o">=</span> <span class="mi">1</span><span class="o">-</span><span class="p">(</span><span class="n">nb_full</span> <span class="o">/</span> <span class="p">(</span><span class="n">n</span><span class="o">*</span><span class="n">p</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Our matrix contains </span><span class="si">{:.2f}% o</span><span class="s2">f NaN&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">rate_NaN</span> <span class="o">*</span> <span class="mi">100</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;The matrix contains </span><span class="si">{0}</span><span class="s2"> non-missing values within </span><span class="si">{1}</span><span class="s2"> values in total&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">nb_full</span><span class="p">,</span> <span class="n">n</span><span class="o">*</span><span class="n">p</span><span class="p">))</span>
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<pre>Our matrix contains 99.24% of NaN
The matrix contains 195355 non-missing values within 25788103 values in total
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<p>$\Large{\text{Dataset separation}}$</p>

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<p>Before applying different methods, we need to split the data into a training set and a test set.
Both training and test set will be matrices with the same size as the initial matrix, but we will split the data such that we have 20% of the non-missing values in the test set and 80% of the non-missing values in the training set.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="k">import</span> <span class="n">train_test_split</span>
<span class="n">index_not_nan</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">argwhere</span><span class="p">(</span><span class="o">~</span><span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">rating_matrix</span><span class="p">)</span><span class="o">.</span><span class="n">values</span><span class="p">)</span>
<span class="n">idx_train</span><span class="p">,</span> <span class="n">idx_test</span> <span class="o">=</span> <span class="n">train_test_split</span><span class="p">(</span><span class="n">index_not_nan</span><span class="p">,</span> <span class="n">test_size</span><span class="o">=</span><span class="mf">0.2</span><span class="p">)</span>

<span class="k">def</span> <span class="nf">extract_train_test</span><span class="p">(</span><span class="n">matrix</span><span class="p">,</span> <span class="n">idx_train</span><span class="p">,</span> <span class="n">idx_test</span><span class="p">):</span>
    <span class="n">rating_matrix_train</span> <span class="o">=</span> <span class="n">matrix</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
    <span class="n">rating_matrix_test</span> <span class="o">=</span> <span class="n">matrix</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
    <span class="k">for</span> <span class="n">id_train</span> <span class="ow">in</span> <span class="n">idx_train</span><span class="p">:</span>
        <span class="n">rating_matrix_test</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="n">id_train</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">id_train</span><span class="p">[</span><span class="mi">1</span><span class="p">]]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span>
    <span class="k">for</span> <span class="n">id_test</span> <span class="ow">in</span> <span class="n">idx_test</span><span class="p">:</span>
        <span class="n">rating_matrix_train</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="n">id_test</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">id_test</span><span class="p">[</span><span class="mi">1</span><span class="p">]]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span>

    <span class="k">return</span> <span class="n">rating_matrix_train</span><span class="p">,</span> <span class="n">rating_matrix_test</span>
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<p>$\Large{\text{Random approach}}$</p>

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<p>Our first approach will be a really easy and naive method, with obviously no good results, but let's do it anyway.
We are going to replace any missing value by a random integer between 1 and 5.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># First let&#39;s split the dataset into learning and test samples</span>
<span class="n">rating_matrix_train</span><span class="p">,</span> <span class="n">rating_matrix_test</span> <span class="o">=</span> <span class="n">extract_train_test</span><span class="p">(</span><span class="n">rating_matrix</span><span class="p">,</span> <span class="n">idx_train</span><span class="p">,</span> <span class="n">idx_test</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="s2">&quot;We have: </span><span class="si">{0}</span><span class="s2"> non-missing values for the learning sample</span><span class="se">\n</span><span class="s2">and </span><span class="si">{1}</span><span class="s2"> non-missing values for the test sample&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
        <span class="n">np</span><span class="o">.</span><span class="n">count_nonzero</span><span class="p">(</span><span class="o">~</span><span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">rating_matrix_train</span><span class="p">)),</span> <span class="n">np</span><span class="o">.</span><span class="n">count_nonzero</span><span class="p">(</span><span class="o">~</span><span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">rating_matrix_test</span><span class="p">))))</span>
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<pre>We have: 156284 non-missing values for the learning sample
and 39071 non-missing values for the test sample
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Let&#39;s replace all NaN values in the train matrix by a random number between 1 and 5:</span>
<span class="n">nan_mask</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">rating_matrix_train</span><span class="o">.</span><span class="n">values</span><span class="p">)</span>
<span class="n">rating_matrix_train</span><span class="o">.</span><span class="n">values</span><span class="p">[</span><span class="n">nan_mask</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">count_nonzero</span><span class="p">(</span><span class="n">nan_mask</span><span class="p">))</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Let&#39;s get the accuracy on the predictions on the test sample</span>
<span class="n">test_values</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">rating_matrix_test</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="n">x</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">x</span><span class="p">[</span><span class="mi">1</span><span class="p">]]</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="n">idx_test</span><span class="p">])</span>
<span class="n">predict_values</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">rating_matrix_train</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="n">x</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">x</span><span class="p">[</span><span class="mi">1</span><span class="p">]]</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="n">idx_test</span><span class="p">])</span>

<span class="n">sum_abs</span> <span class="o">=</span> <span class="nb">sum</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">nan_to_num</span><span class="p">(</span><span class="nb">abs</span><span class="p">(</span><span class="n">test_values</span> <span class="o">-</span> <span class="n">predict_values</span><span class="p">)))</span>
<span class="n">sum_square</span> <span class="o">=</span> <span class="nb">sum</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">nan_to_num</span><span class="p">((</span><span class="n">test_values</span> <span class="o">-</span> <span class="n">predict_values</span><span class="p">)</span><span class="o">**</span><span class="mi">2</span><span class="p">))</span>
<span class="n">n_test_not_nan</span> <span class="o">=</span> <span class="nb">sum</span><span class="p">(</span><span class="o">~</span><span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">test_values</span> <span class="o">-</span> <span class="n">predict_values</span><span class="p">))</span>
<span class="n">mae</span> <span class="o">=</span> <span class="n">sum_abs</span> <span class="o">/</span> <span class="n">n_test_not_nan</span>
<span class="n">mse</span> <span class="o">=</span> <span class="n">sum_square</span> <span class="o">/</span> <span class="n">n_test_not_nan</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;MAE(mean absolute error): </span><span class="si">{0:.3f}</span><span class="se">\n</span><span class="s2">MSE(mean square error): </span><span class="si">{1:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">mae</span><span class="p">,</span> <span class="n">mse</span><span class="p">))</span>
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<pre>MAE(mean absolute error): 1.592
MSE(mean square error): 3.968
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<p>$\Large{\text{Average method}}$</p>

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<p>Now we will have a different approach, still very naive, but hopefully we will get better results.
We will replace any missing rating from user i given to restaurant j by the average rating of this restaurant over all users. This method is not personalized at all and will not reflect the different behaviors of users. But this is already a good benchmark that we will try to beat later with more customed methods.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># We build again the training and test samples</span>
<span class="n">rating_matrix_train</span><span class="p">,</span> <span class="n">rating_matrix_test</span> <span class="o">=</span> <span class="n">extract_train_test</span><span class="p">(</span><span class="n">rating_matrix</span><span class="p">,</span> <span class="n">idx_train</span><span class="p">,</span> <span class="n">idx_test</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">replace_by_mean</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
    <span class="n">avg</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
    <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="n">n</span><span class="p">):</span>
        <span class="k">if</span> <span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="n">i</span><span class="p">]):</span>
            <span class="n">x</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="n">avg</span>
    <span class="k">return</span> <span class="n">x</span>
<span class="n">rating_matrix_naive</span> <span class="o">=</span> <span class="n">rating_matrix_train</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="n">replace_by_mean</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Let&#39;s get the accuracy of the predictions on the test sample</span>
<span class="n">test_values</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">rating_matrix_test</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="n">x</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">x</span><span class="p">[</span><span class="mi">1</span><span class="p">]]</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="n">idx_test</span><span class="p">])</span>
<span class="n">predict_values</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="nb">round</span><span class="p">(</span><span class="n">rating_matrix_naive</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="n">x</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">x</span><span class="p">[</span><span class="mi">1</span><span class="p">]])</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="n">idx_test</span><span class="p">])</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">sum_abs</span> <span class="o">=</span> <span class="nb">sum</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">nan_to_num</span><span class="p">(</span><span class="nb">abs</span><span class="p">(</span><span class="n">test_values</span> <span class="o">-</span> <span class="n">predict_values</span><span class="p">)))</span>
<span class="n">sum_square</span> <span class="o">=</span> <span class="nb">sum</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">nan_to_num</span><span class="p">((</span><span class="n">test_values</span> <span class="o">-</span> <span class="n">predict_values</span><span class="p">)</span><span class="o">**</span><span class="mi">2</span><span class="p">))</span>
<span class="n">n_test_not_nan</span> <span class="o">=</span> <span class="nb">sum</span><span class="p">(</span><span class="o">~</span><span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">test_values</span> <span class="o">-</span> <span class="n">predict_values</span><span class="p">))</span>
<span class="n">mae</span> <span class="o">=</span> <span class="n">sum_abs</span> <span class="o">/</span> <span class="n">n_test_not_nan</span>
<span class="n">mse</span> <span class="o">=</span> <span class="n">sum_square</span> <span class="o">/</span> <span class="n">n_test_not_nan</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;MAE(mean absolute error): </span><span class="si">{0:.3f}</span><span class="se">\n</span><span class="s2">MSE(mean square error): </span><span class="si">{1:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">mae</span><span class="p">,</span> <span class="n">mse</span><span class="p">))</span>
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<pre>MAE(mean absolute error): 0.721
MSE(mean square error): 1.057
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<p>$\Large{\text{Content based methods}}$</p>

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<p>In the real world obviously the methods above are not one used to build good recommender systems, since they are really not accurate. Two main methods are used in practice, the collaborative filtering method and the content based method.
The collaborative filtering method is the one we are going to focus on from now on, and is based only on interactions between users and products (in our case between users and restaurants). We can distinguish two approaches within that method, the memory based apporach and the model based approach.
In order to apply the methods to our data, we will use a python library called "surprise" (for Simple Python Recommendation System Engine), which is specially made to apply machine learning algorithms to large sparse matrix like we have. This library is really easy to use and looks a lot like scikit learn (with methods such as gridSearch, or train_test_split for example). 
Let's start by loading our data into a surprise object:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">surprise</span> <span class="k">import</span> <span class="n">Reader</span><span class="p">,</span> <span class="n">Dataset</span>
<span class="n">reader</span> <span class="o">=</span> <span class="n">Reader</span><span class="p">()</span>
<span class="n">data_srp</span> <span class="o">=</span> <span class="n">Dataset</span><span class="o">.</span><span class="n">load_from_df</span><span class="p">(</span><span class="n">data</span><span class="p">[[</span><span class="s1">&#39;user&#39;</span><span class="p">,</span> <span class="s1">&#39;restaurant&#39;</span><span class="p">,</span> <span class="s1">&#39;review&#39;</span><span class="p">]],</span> <span class="n">reader</span><span class="p">)</span>
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<p>Then let's split this data into training and test sample. The split is done in the same way as we did by hand earlier, except that the data is stored in a different way more adapted to achieve our objective.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">surprise.model_selection</span> <span class="k">import</span> <span class="n">train_test_split</span>
<span class="n">train_srp</span><span class="p">,</span> <span class="n">test_srp</span> <span class="o">=</span> <span class="n">train_test_split</span><span class="p">(</span><span class="n">data_srp</span><span class="p">,</span> <span class="n">test_size</span><span class="o">=</span><span class="mf">0.20</span><span class="p">)</span>
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<p>$\large{\text{Memory based approach}}$</p>

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<p>This approach assumes no latent model and uses only information from the user-item interaction to predict new recommendation. The most famous algorithm for this approach is KNN. It can be computed for user-user similarities, or item-item similarities. For user-user (the one we will focus on), it will compute the distances between all users, where the distance is calculated by default as the mean square difference (msd) of ratings over all items (it takes into account only items for which both users gave ratings, meaning that is there is a NaN value in either of them, the rating difference on this item will not be calculated):</p>
$$d^{msd}(u,v) = \frac{1}{\mid J_{uv}\mid}\sum_{j\in J_{uv}}{(r_{uj} - r_{vj})^2} $$<p>Where $r_{uj}$ is the rating given by user $u$ to restaurant $j$, $r_{vj}$ is the rating given by user $v$ to restaurant $j$ and $J_{uv}$ is the space of restaurant for which both user $u$ and $v$ gave ratings.</p>
<p>The predicted value of rating for user $i$ to restaurant $j$ will then be the average rating given to that restaurant over the $k$ neighbors of $i$.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">surprise</span> <span class="k">import</span> <span class="n">KNNBasic</span><span class="p">,</span> <span class="n">accuracy</span>

<span class="c1"># Here the KNN is train with default parameter k=40, min_k=1 and user-user interactions</span>
<span class="n">knn</span> <span class="o">=</span> <span class="n">KNNBasic</span><span class="p">(</span><span class="n">verbose</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="n">knn</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">train_srp</span><span class="p">)</span>
<span class="n">predictions_knn</span> <span class="o">=</span> <span class="n">knn</span><span class="o">.</span><span class="n">test</span><span class="p">(</span><span class="n">test_srp</span><span class="p">)</span>
<span class="n">score_knn_mse</span> <span class="o">=</span> <span class="n">accuracy</span><span class="o">.</span><span class="n">mse</span><span class="p">(</span><span class="n">predictions_knn</span><span class="p">)</span>
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<pre>MSE: 1.0984
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<p>Interestingly we get a score worse than our naive method wich gives the average all the time.</p>
<p>By default, the KNN is trained with k=40 (number of neighbors), min_k=1 (minimum of of neighbors to take into account for aggregation, if there are not enough neighbors, the prediction is set to the global mean of all ratings), and the measure of similarities "msd" (mean square difference).</p>
<p>We will do a grid search in order to find the best parameters of the KNN method to fit our data: we will do some cross validation with different values of k, min_k and with two measures of similarities: the "msd" measure and the "cosine" measure, which is defined as:</p>
$$d^{cosine}(u,v) = \frac{\sum\limits_{j\in J_{uv}}{r_{uj}.r_{vj}}}{\sqrt{\sum\limits_{j\in J_{uv}}{r_{uj}^2}}\sqrt{\sum\limits_{j\in J_{uv}}{r_{vj}^2}}} $$<p>First we will need to separate again our dataset, in the same way as the train_test_split method, but leading to a different type of object which is handled by the GridSearchCV method.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">rating_matrix_train</span><span class="p">,</span> <span class="n">rating_matrix_test</span> <span class="o">=</span> <span class="n">extract_train_test</span><span class="p">(</span><span class="n">rating_matrix</span><span class="p">,</span> <span class="n">idx_train</span><span class="p">,</span> <span class="n">idx_test</span><span class="p">)</span>

<span class="n">data_train</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">rating_matrix_train</span><span class="o">.</span><span class="n">to_records</span><span class="p">())</span>
<span class="n">data_train</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">melt</span><span class="p">(</span><span class="n">data_train</span><span class="p">,</span> <span class="n">id_vars</span><span class="o">=</span><span class="s1">&#39;user&#39;</span><span class="p">,</span> <span class="n">value_vars</span><span class="o">=</span><span class="nb">list</span><span class="p">(</span><span class="n">data_train</span><span class="o">.</span><span class="n">columns</span><span class="p">[</span><span class="mi">1</span><span class="p">:]),</span> <span class="n">var_name</span><span class="o">=</span><span class="s1">&#39;restaurant&#39;</span><span class="p">,</span> <span class="n">value_name</span><span class="o">=</span><span class="s1">&#39;review&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</span>
<span class="n">data_train_srp</span> <span class="o">=</span> <span class="n">Dataset</span><span class="o">.</span><span class="n">load_from_df</span><span class="p">(</span><span class="n">data_train</span><span class="p">[[</span><span class="s1">&#39;user&#39;</span><span class="p">,</span> <span class="s1">&#39;restaurant&#39;</span><span class="p">,</span> <span class="s1">&#39;review&#39;</span><span class="p">]],</span> <span class="n">reader</span><span class="p">)</span>

<span class="n">data_test</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">rating_matrix_test</span><span class="o">.</span><span class="n">to_records</span><span class="p">())</span>
<span class="n">data_test</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">melt</span><span class="p">(</span><span class="n">data_test</span><span class="p">,</span> <span class="n">id_vars</span><span class="o">=</span><span class="s1">&#39;user&#39;</span><span class="p">,</span> <span class="n">value_vars</span><span class="o">=</span><span class="nb">list</span><span class="p">(</span><span class="n">data_test</span><span class="o">.</span><span class="n">columns</span><span class="p">[</span><span class="mi">1</span><span class="p">:]),</span> <span class="n">var_name</span><span class="o">=</span><span class="s1">&#39;restaurant&#39;</span><span class="p">,</span> <span class="n">value_name</span><span class="o">=</span><span class="s1">&#39;review&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</span>
<span class="n">data_test_srp</span> <span class="o">=</span> <span class="n">Dataset</span><span class="o">.</span><span class="n">load_from_df</span><span class="p">(</span><span class="n">data_test</span><span class="p">[[</span><span class="s1">&#39;user&#39;</span><span class="p">,</span> <span class="s1">&#39;restaurant&#39;</span><span class="p">,</span> <span class="s1">&#39;review&#39;</span><span class="p">]],</span> <span class="n">reader</span><span class="p">)</span>
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<p>We do a grid search on the training set with a cross-validation parameter cv=5 and we display the best parameters and the mean square error:
(We have done some pre-search before in order to get reasonable ranges of the parameters)</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">surprise.model_selection</span> <span class="k">import</span> <span class="n">GridSearchCV</span>
<span class="n">param_grid</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;k&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mi">80</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">120</span><span class="p">,</span> <span class="mi">140</span><span class="p">],</span> <span class="s1">&#39;min_k&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mi">5</span><span class="p">,</span> <span class="mi">7</span><span class="p">,</span> <span class="mi">9</span><span class="p">],</span> <span class="s1">&#39;sim_options&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;name&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s1">&#39;msd&#39;</span><span class="p">,</span> <span class="s1">&#39;cosine&#39;</span><span class="p">]},</span> <span class="s1">&#39;verbose&#39;</span><span class="p">:[</span><span class="kc">False</span><span class="p">]}</span>
<span class="n">gs_knn</span> <span class="o">=</span> <span class="n">GridSearchCV</span><span class="p">(</span><span class="n">KNNBasic</span><span class="p">,</span> <span class="n">param_grid</span><span class="p">,</span> <span class="n">measures</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;rmse&#39;</span><span class="p">],</span> <span class="n">cv</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
<span class="n">gs_knn</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">data_train_srp</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;mse: </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">gs_knn</span><span class="o">.</span><span class="n">best_score</span><span class="p">[</span><span class="s1">&#39;rmse&#39;</span><span class="p">]</span><span class="o">**</span><span class="mi">2</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="n">gs_knn</span><span class="o">.</span><span class="n">best_params</span><span class="p">[</span><span class="s1">&#39;rmse&#39;</span><span class="p">])</span>
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<pre>mse: 1.040
{&#39;k&#39;: 140, &#39;min_k&#39;: 7, &#39;sim_options&#39;: {&#39;name&#39;: &#39;cosine&#39;, &#39;user_based&#39;: True}, &#39;verbose&#39;: False}
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<p>Now let's fit the KNN with the best parameters on the whole train set in order to get the accuracy on predictions for the test dataset so that we can compare it to the score of the "average method"</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">knn</span> <span class="o">=</span> <span class="n">KNNBasic</span><span class="p">(</span><span class="n">k</span><span class="o">=</span><span class="mi">140</span><span class="p">,</span> <span class="n">min_k</span><span class="o">=</span><span class="mi">7</span><span class="p">,</span> <span class="n">sim_options</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;name&#39;</span><span class="p">:</span> <span class="s1">&#39;cosine&#39;</span><span class="p">},</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="n">knn</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">train_srp</span><span class="p">)</span>
<span class="n">predictions_knn</span> <span class="o">=</span> <span class="n">knn</span><span class="o">.</span><span class="n">test</span><span class="p">(</span><span class="n">test_srp</span><span class="p">)</span>
<span class="n">score_knn</span> <span class="o">=</span> <span class="n">accuracy</span><span class="o">.</span><span class="n">mse</span><span class="p">(</span><span class="n">predictions_knn</span><span class="p">)</span>
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<pre>MSE: 1.0431
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<p>In the end with the KNN method we get a score slightly better than the "average method", but it's not very satisfying. This is probably due to the fact that most of the real ratings are concentrated around the mean (around 4.0) and thus giving the average rating all the time ensure that we are not very far from each actual ratings (especially because the 1.0 or 2.0 ratings are quit rare, which is not that significant when computing the mean square error). 
Maybe we would need a different measure than the mean square error, for example by giving more weight on the good predictions of 1.0 and 2.0 ratings than the good predictions of 4.0 ratings. I guess we would get better results for the KNN method and worse results for the "average method". Unfortunatly the surprise library doesn't allow us to be free on this part and only propose four different measures of error: the mse (mean square error), the rmse, the mae (mean absolute error) and the fcp (fraction of concordant pairs).</p>

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<p>$\large{\text{Model based approach}}$</p>

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<p>Model based apporaches, like matrix factorization, are still based on user-item interactions but assume a latent model is supposed to explain these interactions.
In matrix factorization, the idea is to find two small-dimensional and dense matrices to represent both users and items in order to reconstruct the initial matrix by computing the dot product of the two.</p>
<p>In other words, we search $A\in M_{n,k}(\mathbb{R})$ and $B\in M_{k,p}(\mathbb{R})$ such that $M = A.B + \epsilon$ where M is our matrix rating.
$k$ represents a property in restaurant, for example the fact that it is cheap, and if a restaurant $j$ has that property the value of $b_{k,j}$ will be high. $k$ represents also how much the user values that feature. So if a user $i$ likes going to cheap restaurant, $a_{ik}$ will be high.</p>
<p>So we search:
$$(A,B) = \underset{B\in M_{k,p}(\mathbb{R})}{\underset{A\in M_{n,k}(\mathbb{R})}{\mathrm{argmin}}}\sum_{(i,j)\in E}{\left(M_{i,j} - A_iB_j\right)^2} $$</p>
<p>Where $E = \{(i,j)\in\mathbb{R}^{n\times p}$ such that $M_{i,j}\neq nan\}$</p>
<p>($E$ is the space of index where $M$ is full)</p>
<p>Since the vectors of $A$ and $B$ can take any value, and in order to avoid overfitting, we need to add regularization to our loss function, with a penalty coefficient $\lambda$ on the norm $\|A_i\|^2$ and $\|B_j\|^2$.</p>
<p>Hence we want to minimize the expression:
$$\underset{A,B}{\mathrm{min}}\ \ \frac{1}{2}\sum_{(i,j)\in E}{\left(M_{i,j} - A_iB_j\right)^2} + \frac{1}{2}\lambda\left(\|A_i\|^2 + \|B_j\|^2\right)$$</p>
<p>But what is done in the surprise library is a bit more subtle than that, because it takes something important that wasn't mentioned so far: the bias.</p>
<p>In fact, the two matrices we want to find here are supposed to explain how the interactions between users and restaurants work and how they lead to produce the rating values. However, much of the real variation in rating values is due to particular effects amongst users or restaurant, and are independant of these variations. These effects are called biases. For example, some users tend to give higher rates than other for the same level of satisfaction, which will result in differences of ratings which are not significant regarding our models and objectives. In order to take this effect into account, we model the bias by approaching $M_{ij}$ by $A_i.B_j + \mu + \beta_i + \beta_j$, where $\mu$ is the overall rating average (it can be computed directly from the data), $\beta_i$ is the bias of user $i$ and $\beta_j$ is the bias of restaurant $j$.</p>
<p>The expression we want to minimize becomes now:
$$\underset{A,B,\beta}{\mathrm{min}}\ \ \frac{1}{2}\sum_{(i,j)\in E}{\left(M_{i,j} - A_iB_j\right)^2} + \frac{1}{2}\lambda\left(\|A_i\|^2 + \|B_j\|^2\right)$$
with $A\in M_{n,k}(\mathbb{R})$, $B\in M_{k,p}(\mathbb{R})$ and $\beta\in\mathbb{R}^{n\times p}$</p>
<p>It can be done simply with a stochastic gradient descent (we are not going to write the details but the calculation of the gradient is straightforward). This is what is done with the library surprise and the method SVD, which we are going to apply now.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">surprise</span> <span class="k">import</span> <span class="n">SVD</span>
<span class="n">svd</span> <span class="o">=</span> <span class="n">SVD</span><span class="p">()</span>
<span class="n">svd</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">train_srp</span><span class="p">)</span>
<span class="n">predictions_svd</span> <span class="o">=</span> <span class="n">svd</span><span class="o">.</span><span class="n">test</span><span class="p">(</span><span class="n">test_srp</span><span class="p">)</span>
<span class="n">score_svd</span> <span class="o">=</span> <span class="n">accuracy</span><span class="o">.</span><span class="n">mse</span><span class="p">(</span><span class="n">predictions_svd</span><span class="p">)</span>
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<pre>MSE: 0.9797
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<p>This matrix factorization method was done with the default parameters of the surprise method, which are:</p>
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<li>n_epochs = 20 (the number of times the stochastic gradient descent is performed on over all the ratings)</li>
<li>lr_all = 0.005 (the learning rate of the stochastic gradient descent)</li>
<li>reg_all = 0.02 (the regularization coefficient)</li>
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<p>Let's compute a grid search once again in order to find the best parameters:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">param_grid</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;n_epochs&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mi">10</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">30</span><span class="p">],</span> <span class="s1">&#39;lr_all&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mf">0.001</span><span class="p">,</span> <span class="mf">0.005</span><span class="p">,</span> <span class="mf">0.01</span><span class="p">],</span>
              <span class="s1">&#39;reg_all&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mf">0.1</span><span class="p">,</span> <span class="mf">0.2</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">]}</span>

<span class="n">gs_svd</span> <span class="o">=</span> <span class="n">GridSearchCV</span><span class="p">(</span><span class="n">SVD</span><span class="p">,</span> <span class="n">param_grid</span><span class="p">,</span> <span class="n">measures</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;rmse&#39;</span><span class="p">],</span> <span class="n">cv</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
<span class="n">gs_svd</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">data_train_srp</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;mse: </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">gs_svd</span><span class="o">.</span><span class="n">best_score</span><span class="p">[</span><span class="s1">&#39;rmse&#39;</span><span class="p">]</span><span class="o">**</span><span class="mi">2</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="n">gs_svd</span><span class="o">.</span><span class="n">best_params</span><span class="p">[</span><span class="s1">&#39;rmse&#39;</span><span class="p">])</span>
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<pre>mse: 0.933
{&#39;n_epochs&#39;: 20, &#39;lr_all&#39;: 0.005, &#39;reg_all&#39;: 0.2}
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<p>Apparently the best parameters seem to be the defaults parameters.</p>
<p>Once again let's fit the method on the training set with the best parameters in order to get the predictions score on the test set, and be able to compare it with the previous methods:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">svd</span> <span class="o">=</span> <span class="n">SVD</span><span class="p">(</span><span class="n">n_epochs</span><span class="o">=</span><span class="mi">20</span><span class="p">,</span> <span class="n">lr_all</span><span class="o">=</span><span class="mf">0.005</span><span class="p">,</span> <span class="n">reg_all</span><span class="o">=</span><span class="mf">0.2</span><span class="p">)</span>
<span class="n">svd</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">train_srp</span><span class="p">)</span>
<span class="n">predictions_svd</span> <span class="o">=</span> <span class="n">svd</span><span class="o">.</span><span class="n">test</span><span class="p">(</span><span class="n">test_srp</span><span class="p">)</span>
<span class="n">score_svd</span> <span class="o">=</span> <span class="n">accuracy</span><span class="o">.</span><span class="n">mse</span><span class="p">(</span><span class="n">predictions_svd</span><span class="p">)</span>
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<pre>MSE: 0.9592
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<p>We can be happy about this score which is really better than all the methods above. This is probably due to the fact that the SVD model is more complex and manage to get the best from the sparse matrix.</p>

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<p>$\huge{Conclusion}$</p>

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<p>In order to answer to our initial question (where am I going to eat tonight ?), we will use the method with the best score computed on the test set, which is the SVD method.</p>
<p>First we will create a new user representing myself and we will give ratings to restaurants where I have been to eat in Paris, some that I liked and some that I didn't.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
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<pre>(201038, 3)
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">my_rating_dict_list</span> <span class="o">=</span> <span class="p">[{</span><span class="s1">&#39;user&#39;</span><span class="p">:</span><span class="s1">&#39;jfoenet06&#39;</span><span class="p">,</span> <span class="s1">&#39;restaurant&#39;</span><span class="p">:</span><span class="s1">&#39;Le Bistrot des Halles&#39;</span><span class="p">,</span> <span class="s1">&#39;review&#39;</span><span class="p">:</span><span class="mi">5</span><span class="p">},</span>
                  <span class="p">{</span><span class="s1">&#39;user&#39;</span><span class="p">:</span><span class="s1">&#39;jfoenet06&#39;</span><span class="p">,</span> <span class="s1">&#39;restaurant&#39;</span><span class="p">:</span><span class="s1">&#39;Au Pied de Cochon&#39;</span><span class="p">,</span> <span class="s1">&#39;review&#39;</span><span class="p">:</span><span class="mi">5</span><span class="p">},</span>
                  <span class="p">{</span><span class="s1">&#39;user&#39;</span><span class="p">:</span><span class="s1">&#39;jfoenet06&#39;</span><span class="p">,</span> <span class="s1">&#39;restaurant&#39;</span><span class="p">:</span><span class="s1">&#39;KONG&#39;</span><span class="p">,</span> <span class="s1">&#39;review&#39;</span><span class="p">:</span><span class="mi">2</span><span class="p">},</span>
                  <span class="p">{</span><span class="s1">&#39;user&#39;</span><span class="p">:</span><span class="s1">&#39;jfoenet06&#39;</span><span class="p">,</span> <span class="s1">&#39;restaurant&#39;</span><span class="p">:</span><span class="s1">&#39;Chez Denise&#39;</span><span class="p">,</span> <span class="s1">&#39;review&#39;</span><span class="p">:</span><span class="mi">4</span><span class="p">},</span>
                  <span class="p">{</span><span class="s1">&#39;user&#39;</span><span class="p">:</span><span class="s1">&#39;jfoenet06&#39;</span><span class="p">,</span> <span class="s1">&#39;restaurant&#39;</span><span class="p">:</span><span class="s1">&#39;Cafe Daguerre&#39;</span><span class="p">,</span> <span class="s1">&#39;review&#39;</span><span class="p">:</span><span class="mi">1</span><span class="p">},</span>
                  <span class="p">{</span><span class="s1">&#39;user&#39;</span><span class="p">:</span><span class="s1">&#39;jfoenet06&#39;</span><span class="p">,</span> <span class="s1">&#39;restaurant&#39;</span><span class="p">:</span><span class="s1">&#39;La Maison Péret&#39;</span><span class="p">,</span> <span class="s1">&#39;review&#39;</span><span class="p">:</span><span class="mi">3</span><span class="p">},</span>
                  <span class="p">{</span><span class="s1">&#39;user&#39;</span><span class="p">:</span><span class="s1">&#39;jfoenet06&#39;</span><span class="p">,</span> <span class="s1">&#39;restaurant&#39;</span><span class="p">:</span><span class="s1">&#39;L</span><span class="se">\&#39;</span><span class="s1">Ardoise&#39;</span><span class="p">,</span> <span class="s1">&#39;review&#39;</span><span class="p">:</span><span class="mi">5</span><span class="p">},</span>
                  <span class="p">{</span><span class="s1">&#39;user&#39;</span><span class="p">:</span><span class="s1">&#39;jfoenet06&#39;</span><span class="p">,</span> <span class="s1">&#39;restaurant&#39;</span><span class="p">:</span><span class="s1">&#39;Augustin Bistrot&#39;</span><span class="p">,</span> <span class="s1">&#39;review&#39;</span><span class="p">:</span><span class="mi">5</span><span class="p">},</span>
                  <span class="p">{</span><span class="s1">&#39;user&#39;</span><span class="p">:</span><span class="s1">&#39;jfoenet06&#39;</span><span class="p">,</span> <span class="s1">&#39;restaurant&#39;</span><span class="p">:</span><span class="s1">&#39;Le Sirocco&#39;</span><span class="p">,</span> <span class="s1">&#39;review&#39;</span><span class="p">:</span><span class="mi">4</span><span class="p">},</span>
                  <span class="p">{</span><span class="s1">&#39;user&#39;</span><span class="p">:</span><span class="s1">&#39;jfoenet06&#39;</span><span class="p">,</span> <span class="s1">&#39;restaurant&#39;</span><span class="p">:</span><span class="s1">&#39;Au Chien Qui Fume&#39;</span><span class="p">,</span> <span class="s1">&#39;review&#39;</span><span class="p">:</span><span class="mi">4</span><span class="p">},</span>
                  <span class="p">{</span><span class="s1">&#39;user&#39;</span><span class="p">:</span><span class="s1">&#39;jfoenet06&#39;</span><span class="p">,</span> <span class="s1">&#39;restaurant&#39;</span><span class="p">:</span><span class="s1">&#39;L</span><span class="se">\&#39;</span><span class="s1">Alsacien&#39;</span><span class="p">,</span> <span class="s1">&#39;review&#39;</span><span class="p">:</span><span class="mi">4</span><span class="p">},</span>
                  <span class="p">{</span><span class="s1">&#39;user&#39;</span><span class="p">:</span><span class="s1">&#39;jfoenet06&#39;</span><span class="p">,</span> <span class="s1">&#39;restaurant&#39;</span><span class="p">:</span><span class="s1">&#39;Creperie de Pontivy&#39;</span><span class="p">,</span> <span class="s1">&#39;review&#39;</span><span class="p">:</span><span class="mi">3</span><span class="p">}]</span>
                  
<span class="k">for</span> <span class="n">elt</span> <span class="ow">in</span> <span class="n">my_rating_dict_list</span><span class="p">:</span>
    <span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">elt</span><span class="p">,</span> <span class="n">ignore_index</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>

<span class="nb">print</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
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<pre>(201050, 3)
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">reader</span> <span class="o">=</span> <span class="n">Reader</span><span class="p">()</span>
<span class="n">data_srp</span> <span class="o">=</span> <span class="n">Dataset</span><span class="o">.</span><span class="n">load_from_df</span><span class="p">(</span><span class="n">data</span><span class="p">[[</span><span class="s1">&#39;user&#39;</span><span class="p">,</span> <span class="s1">&#39;restaurant&#39;</span><span class="p">,</span> <span class="s1">&#39;review&#39;</span><span class="p">]],</span> <span class="n">reader</span><span class="p">)</span>
<span class="n">full_dataset</span> <span class="o">=</span> <span class="n">data_srp</span><span class="o">.</span><span class="n">build_full_trainset</span><span class="p">()</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">svd</span> <span class="o">=</span> <span class="n">SVD</span><span class="p">(</span><span class="n">n_epochs</span><span class="o">=</span><span class="mi">20</span><span class="p">,</span> <span class="n">lr_all</span><span class="o">=</span><span class="mf">0.005</span><span class="p">,</span> <span class="n">reg_all</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="n">svd</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">full_dataset</span><span class="p">)</span>
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<pre>&lt;surprise.prediction_algorithms.matrix_factorization.SVD at 0x1aa0f92f10&gt;</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">list_pred_dict</span> <span class="o">=</span> <span class="p">[</span><span class="n">svd</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">uid</span><span class="o">=</span><span class="s1">&#39;jfoenet&#39;</span><span class="p">,</span> <span class="n">iid</span><span class="o">=</span><span class="n">rest</span><span class="p">)</span> <span class="k">for</span> <span class="n">rest</span> <span class="ow">in</span> <span class="n">data</span><span class="p">[</span><span class="s2">&quot;restaurant&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">unique</span><span class="p">()]</span>
<span class="n">list_pred</span> <span class="o">=</span> <span class="p">[</span><span class="n">svd</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">uid</span><span class="o">=</span><span class="s1">&#39;jfoenet&#39;</span><span class="p">,</span> <span class="n">iid</span><span class="o">=</span><span class="n">rest</span><span class="p">)</span><span class="o">.</span><span class="n">est</span> <span class="k">for</span> <span class="n">rest</span> <span class="ow">in</span> <span class="n">data</span><span class="p">[</span><span class="s2">&quot;restaurant&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">unique</span><span class="p">()]</span>
<span class="n">winner_restaurant</span> <span class="o">=</span> <span class="n">list_pred_dict</span><span class="p">[</span><span class="n">list_pred</span><span class="o">.</span><span class="n">index</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">list_pred</span><span class="p">))]</span><span class="o">.</span><span class="n">iid</span>
<span class="nb">print</span><span class="p">(</span><span class="n">winner_restaurant</span><span class="p">)</span>
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<pre>Alliance
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<p>$\textbf{So tonight, I will be eating at the restaurant "Alliance"}$</p>

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