exemple rapport_Python_caleb.html

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

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

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

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

*/
.highlight-base {
  color: #000;
}
.highlight-variable {
  color: #000;
}
.highlight-variable-2 {
  color: #1a1a1a;
}
.highlight-variable-3 {
  color: #333333;
}
.highlight-string {
  color: #BA2121;
}
.highlight-comment {
  color: #408080;
  font-style: italic;
}
.highlight-number {
  color: #080;
}
.highlight-atom {
  color: #88F;
}
.highlight-keyword {
  color: #008000;
  font-weight: bold;
}
.highlight-builtin {
  color: #008000;
}
.highlight-error {
  color: #f00;
}
.highlight-operator {
  color: #AA22FF;
  font-weight: bold;
}
.highlight-meta {
  color: #AA22FF;
}
/* previously not defined, copying from default codemirror */
.highlight-def {
  color: #00f;
}
.highlight-string-2 {
  color: #f50;
}
.highlight-qualifier {
  color: #555;
}
.highlight-bracket {
  color: #997;
}
.highlight-tag {
  color: #170;
}
.highlight-attribute {
  color: #00c;
}
.highlight-header {
  color: blue;
}
.highlight-quote {
  color: #090;
}
.highlight-link {
  color: #00c;
}
/* apply the same style to codemirror */
.cm-s-ipython span.cm-keyword {
  color: #008000;
  font-weight: bold;
}
.cm-s-ipython span.cm-atom {
  color: #88F;
}
.cm-s-ipython span.cm-number {
  color: #080;
}
.cm-s-ipython span.cm-def {
  color: #00f;
}
.cm-s-ipython span.cm-variable {
  color: #000;
}
.cm-s-ipython span.cm-operator {
  color: #AA22FF;
  font-weight: bold;
}
.cm-s-ipython span.cm-variable-2 {
  color: #1a1a1a;
}
.cm-s-ipython span.cm-variable-3 {
  color: #333333;
}
.cm-s-ipython span.cm-comment {
  color: #408080;
  font-style: italic;
}
.cm-s-ipython span.cm-string {
  color: #BA2121;
}
.cm-s-ipython span.cm-string-2 {
  color: #f50;
}
.cm-s-ipython span.cm-meta {
  color: #AA22FF;
}
.cm-s-ipython span.cm-qualifier {
  color: #555;
}
.cm-s-ipython span.cm-builtin {
  color: #008000;
}
.cm-s-ipython span.cm-bracket {
  color: #997;
}
.cm-s-ipython span.cm-tag {
  color: #170;
}
.cm-s-ipython span.cm-attribute {
  color: #00c;
}
.cm-s-ipython span.cm-header {
  color: blue;
}
.cm-s-ipython span.cm-quote {
  color: #090;
}
.cm-s-ipython span.cm-link {
  color: #00c;
}
.cm-s-ipython span.cm-error {
  color: #f00;
}
.cm-s-ipython span.cm-tab {
  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
  background-position: right;
  background-repeat: no-repeat;
}
div.output_wrapper {
  /* this position must be relative to enable descendents to be absolute within it */
  position: relative;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  z-index: 1;
}
/* class for the output area when it should be height-limited */
div.output_scroll {
  /* ideally, this would be max-height, but FF barfs all over that */
  height: 24em;
  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
  width: 100%;
  overflow: auto;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  display: block;
}
/* output div while it is collapsed */
div.output_collapsed {
  margin: 0px;
  padding: 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
div.out_prompt_overlay {
  height: 100%;
  padding: 0px 0.4em;
  position: absolute;
  border-radius: 2px;
}
div.out_prompt_overlay:hover {
  /* use inner shadow to get border that is computed the same on WebKit/FF */
  -webkit-box-shadow: inset 0 0 1px #000;
  box-shadow: inset 0 0 1px #000;
  background: rgba(240, 240, 240, 0.5);
}
div.output_prompt {
  color: #D84315;
}
/* This class is the outer container of all output sections. */
div.output_area {
  padding: 0px;
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.output_area .MathJax_Display {
  text-align: left !important;
}
div.output_area .rendered_html table {
  margin-left: 0;
  margin-right: 0;
}
div.output_area .rendered_html img {
  margin-left: 0;
  margin-right: 0;
}
div.output_area img,
div.output_area svg {
  max-width: 100%;
  height: auto;
}
div.output_area img.unconfined,
div.output_area svg.unconfined {
  max-width: none;
}
div.output_area .mglyph > img {
  max-width: none;
}
/* This is needed to protect the pre formating from global settings such
   as that of bootstrap */
.output {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.output_area {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
div.output_area pre {
  margin: 0;
  padding: 1px 0 1px 0;
  border: 0;
  vertical-align: baseline;
  color: black;
  background-color: transparent;
  border-radius: 0;
}
/* This class is for the output subarea inside the output_area and after
   the prompt div. */
div.output_subarea {
  overflow-x: auto;
  padding: 0.4em;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
  max-width: calc(100% - 14ex);
}
div.output_scroll div.output_subarea {
  overflow-x: visible;
}
/* The rest of the output_* classes are for special styling of the different
   output types */
/* all text output has this class: */
div.output_text {
  text-align: left;
  color: #000;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
}
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
div.output_stderr {
  background: #fdd;
  /* very light red background for stderr */
}
div.output_latex {
  text-align: left;
}
/* Empty output_javascript divs should have no height */
div.output_javascript:empty {
  padding: 0;
}
.js-error {
  color: darkred;
}
/* raw_input styles */
div.raw_input_container {
  line-height: 1.21429em;
  padding-top: 5px;
}
pre.raw_input_prompt {
  /* nothing needed here. */
}
input.raw_input {
  font-family: monospace;
  font-size: inherit;
  color: inherit;
  width: auto;
  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;
  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0em 0.25em;
  margin: 0em 0.25em;
}
input.raw_input:focus {
  box-shadow: none;
}
p.p-space {
  margin-bottom: 10px;
}
div.output_unrecognized {
  padding: 5px;
  font-weight: bold;
  color: red;
}
div.output_unrecognized a {
  color: inherit;
  text-decoration: none;
}
div.output_unrecognized a:hover {
  color: inherit;
  text-decoration: none;
}
.rendered_html {
  color: #000;
  /* any extras will just be numbers: */
}
.rendered_html em {
  font-style: italic;
}
.rendered_html strong {
  font-weight: bold;
}
.rendered_html u {
  text-decoration: underline;
}
.rendered_html :link {
  text-decoration: underline;
}
.rendered_html :visited {
  text-decoration: underline;
}
.rendered_html h1 {
  font-size: 185.7%;
  margin: 1.08em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h2 {
  font-size: 157.1%;
  margin: 1.27em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h3 {
  font-size: 128.6%;
  margin: 1.55em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h4 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h5 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h6 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h1:first-child {
  margin-top: 0.538em;
}
.rendered_html h2:first-child {
  margin-top: 0.636em;
}
.rendered_html h3:first-child {
  margin-top: 0.777em;
}
.rendered_html h4:first-child {
  margin-top: 1em;
}
.rendered_html h5:first-child {
  margin-top: 1em;
}
.rendered_html h6:first-child {
  margin-top: 1em;
}
.rendered_html ul:not(.list-inline),
.rendered_html ol:not(.list-inline) {
  padding-left: 2em;
}
.rendered_html ul {
  list-style: disc;
}
.rendered_html ul ul {
  list-style: square;
  margin-top: 0;
}
.rendered_html ul ul ul {
  list-style: circle;
}
.rendered_html ol {
  list-style: decimal;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin-top: 0;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
}
.rendered_html * + ul {
  margin-top: 1em;
}
.rendered_html * + ol {
  margin-top: 1em;
}
.rendered_html hr {
  color: black;
  background-color: black;
}
.rendered_html pre {
  margin: 1em 2em;
  padding: 0px;
  background-color: #fff;
}
.rendered_html code {
  background-color: #eff0f1;
}
.rendered_html p code {
  padding: 1px 5px;
}
.rendered_html pre code {
  background-color: #fff;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  color: #000;
  font-size: 100%;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: none;
  border-collapse: collapse;
  border-spacing: 0;
  color: black;
  font-size: 12px;
  table-layout: fixed;
}
.rendered_html thead {
  border-bottom: 1px solid black;
  vertical-align: bottom;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  text-align: right;
  vertical-align: middle;
  padding: 0.5em 0.5em;
  line-height: normal;
  white-space: normal;
  max-width: none;
  border: none;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html tbody tr:nth-child(odd) {
  background: #f5f5f5;
}
.rendered_html tbody tr:hover {
  background: rgba(66, 165, 245, 0.2);
}
.rendered_html * + table {
  margin-top: 1em;
}
.rendered_html p {
  text-align: left;
}
.rendered_html * + p {
  margin-top: 1em;
}
.rendered_html img {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.rendered_html * + img {
  margin-top: 1em;
}
.rendered_html img,
.rendered_html svg {
  max-width: 100%;
  height: auto;
}
.rendered_html img.unconfined,
.rendered_html svg.unconfined {
  max-width: none;
}
.rendered_html .alert {
  margin-bottom: initial;
}
.rendered_html * + .alert {
  margin-top: 1em;
}
[dir="rtl"] .rendered_html p {
  text-align: right;
}
div.text_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.text_cell > div.prompt {
    display: none;
  }
}
div.text_cell_render {
  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
  outline: none;
  resize: none;
  width: inherit;
  border-style: none;
  padding: 0.5em 0.5em 0.5em 0.4em;
  color: #000;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
a.anchor-link:link {
  text-decoration: none;
  padding: 0px 20px;
  visibility: hidden;
}
h1:hover .anchor-link,
h2:hover .anchor-link,
h3:hover .anchor-link,
h4:hover .anchor-link,
h5:hover .anchor-link,
h6:hover .anchor-link {
  visibility: visible;
}
.text_cell.rendered .input_area {
  display: none;
}
.text_cell.rendered .rendered_html {
  overflow-x: auto;
  overflow-y: hidden;
}
.text_cell.rendered .rendered_html tr,
.text_cell.rendered .rendered_html th,
.text_cell.rendered .rendered_html td {
  max-width: none;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.text_cell .dropzone .input_area {
  border: 2px dashed #bababa;
  margin: -1px;
}
.cm-header-1,
.cm-header-2,
.cm-header-3,
.cm-header-4,
.cm-header-5,
.cm-header-6 {
  font-weight: bold;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.cm-header-1 {
  font-size: 185.7%;
}
.cm-header-2 {
  font-size: 157.1%;
}
.cm-header-3 {
  font-size: 128.6%;
}
.cm-header-4 {
  font-size: 110%;
}
.cm-header-5 {
  font-size: 100%;
  font-style: italic;
}
.cm-header-6 {
  font-size: 100%;
  font-style: italic;
}
/*!
*
* IPython notebook webapp
*
*/
@media (max-width: 767px) {
  .notebook_app {
    padding-left: 0px;
    padding-right: 0px;
  }
}
#ipython-main-app {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook_panel {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook {
  font-size: 14px;
  line-height: 20px;
  overflow-y: hidden;
  overflow-x: auto;
  width: 100%;
  /* This spaces the page away from the edge of the notebook area */
  padding-top: 20px;
  margin: 0px;
  outline: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  min-height: 100%;
}
@media not print {
  #notebook-container {
    padding: 15px;
    background-color: #fff;
    min-height: 0;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
@media print {
  #notebook-container {
    width: 100%;
  }
}
div.ui-widget-content {
  border: 1px solid #ababab;
  outline: none;
}
pre.dialog {
  background-color: #f7f7f7;
  border: 1px solid #ddd;
  border-radius: 2px;
  padding: 0.4em;
  padding-left: 2em;
}
p.dialog {
  padding: 0.2em;
}
/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
 */
pre,
code,
kbd,
samp {
  white-space: pre-wrap;
}
#fonttest {
  font-family: monospace;
}
p {
  margin-bottom: 0;
}
.end_space {
  min-height: 100px;
  transition: height .2s ease;
}
.notebook_app > #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
@media not print {
  .notebook_app {
    background-color: #EEE;
  }
}
kbd {
  border-style: solid;
  border-width: 1px;
  box-shadow: none;
  margin: 2px;
  padding-left: 2px;
  padding-right: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
.jupyter-keybindings {
  padding: 1px;
  line-height: 24px;
  border-bottom: 1px solid gray;
}
.jupyter-keybindings input {
  margin: 0;
  padding: 0;
  border: none;
}
.jupyter-keybindings i {
  padding: 6px;
}
.well code {
  background-color: #ffffff;
  border-color: #ababab;
  border-width: 1px;
  border-style: solid;
  padding: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
/* CSS for the cell toolbar */
.celltoolbar {
  border: thin solid #CFCFCF;
  border-bottom: none;
  background: #EEE;
  border-radius: 2px 2px 0px 0px;
  width: 100%;
  height: 29px;
  padding-right: 4px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
  display: -webkit-flex;
}
@media print {
  .celltoolbar {
    display: none;
  }
}
.ctb_hideshow {
  display: none;
  vertical-align: bottom;
}
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
   Cell toolbars are only shown when the ctb_global_show class is also set.
*/
.ctb_global_show .ctb_show.ctb_hideshow {
  display: block;
}
.ctb_global_show .ctb_show + .input_area,
.ctb_global_show .ctb_show + div.text_cell_input,
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border-top-right-radius: 0px;
  border-top-left-radius: 0px;
}
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border: 1px solid #cfcfcf;
}
.celltoolbar {
  font-size: 87%;
  padding-top: 3px;
}
.celltoolbar select {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  width: inherit;
  font-size: inherit;
  height: 22px;
  padding: 0px;
  display: inline-block;
}
.celltoolbar select:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.celltoolbar select::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.celltoolbar select:-ms-input-placeholder {
  color: #999;
}
.celltoolbar select::-webkit-input-placeholder {
  color: #999;
}
.celltoolbar select::-ms-expand {
  border: 0;
  background-color: transparent;
}
.celltoolbar select[disabled],
.celltoolbar select[readonly],
fieldset[disabled] .celltoolbar select {
  background-color: #eeeeee;
  opacity: 1;
}
.celltoolbar select[disabled],
fieldset[disabled] .celltoolbar select {
  cursor: not-allowed;
}
textarea.celltoolbar select {
  height: auto;
}
select.celltoolbar select {
  height: 30px;
  line-height: 30px;
}
textarea.celltoolbar select,
select[multiple].celltoolbar select {
  height: auto;
}
.celltoolbar label {
  margin-left: 5px;
  margin-right: 5px;
}
.tags_button_container {
  width: 100%;
  display: flex;
}
.tag-container {
  display: flex;
  flex-direction: row;
  flex-grow: 1;
  overflow: hidden;
  position: relative;
}
.tag-container > * {
  margin: 0 4px;
}
.remove-tag-btn {
  margin-left: 4px;
}
.tags-input {
  display: flex;
}
.cell-tag:last-child:after {
  content: "";
  position: absolute;
  right: 0;
  width: 40px;
  height: 100%;
  /* Fade to background color of cell toolbar */
  background: linear-gradient(to right, rgba(0, 0, 0, 0), #EEE);
}
.tags-input > * {
  margin-left: 4px;
}
.cell-tag,
.tags-input input,
.tags-input button {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  box-shadow: none;
  width: inherit;
  font-size: inherit;
  height: 22px;
  line-height: 22px;
  padding: 0px 4px;
  display: inline-block;
}
.cell-tag:focus,
.tags-input input:focus,
.tags-input button:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.cell-tag::-moz-placeholder,
.tags-input input::-moz-placeholder,
.tags-input button::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.cell-tag:-ms-input-placeholder,
.tags-input input:-ms-input-placeholder,
.tags-input button:-ms-input-placeholder {
  color: #999;
}
.cell-tag::-webkit-input-placeholder,
.tags-input input::-webkit-input-placeholder,
.tags-input button::-webkit-input-placeholder {
  color: #999;
}
.cell-tag::-ms-expand,
.tags-input input::-ms-expand,
.tags-input button::-ms-expand {
  border: 0;
  background-color: transparent;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
.cell-tag[readonly],
.tags-input input[readonly],
.tags-input button[readonly],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  background-color: #eeeeee;
  opacity: 1;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  cursor: not-allowed;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button {
  height: auto;
}
select.cell-tag,
select.tags-input input,
select.tags-input button {
  height: 30px;
  line-height: 30px;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button,
select[multiple].cell-tag,
select[multiple].tags-input input,
select[multiple].tags-input button {
  height: auto;
}
.cell-tag,
.tags-input button {
  padding: 0px 4px;
}
.cell-tag {
  background-color: #fff;
  white-space: nowrap;
}
.tags-input input[type=text]:focus {
  outline: none;
  box-shadow: none;
  border-color: #ccc;
}
.completions {
  position: absolute;
  z-index: 110;
  overflow: hidden;
  border: 1px solid #ababab;
  border-radius: 2px;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  line-height: 1;
}
.completions select {
  background: white;
  outline: none;
  border: none;
  padding: 0px;
  margin: 0px;
  overflow: auto;
  font-family: monospace;
  font-size: 110%;
  color: #000;
  width: auto;
}
.completions select option.context {
  color: #286090;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
[dir="rtl"] #kernel_logo_widget {
  float: left !important;
  float: left;
}
.modal .modal-body .move-path {
  display: flex;
  flex-direction: row;
  justify-content: space;
  align-items: center;
}
.modal .modal-body .move-path .server-root {
  padding-right: 20px;
}
.modal .modal-body .move-path .path-input {
  flex: 1;
}
#menubar {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  margin-top: 1px;
}
#menubar .navbar {
  border-top: 1px;
  border-radius: 0px 0px 2px 2px;
  margin-bottom: 0px;
}
#menubar .navbar-toggle {
  float: left;
  padding-top: 7px;
  padding-bottom: 7px;
  border: none;
}
#menubar .navbar-collapse {
  clear: left;
}
[dir="rtl"] #menubar .navbar-toggle {
  float: right;
}
[dir="rtl"] #menubar .navbar-collapse {
  clear: right;
}
[dir="rtl"] #menubar .navbar-nav {
  float: right;
}
[dir="rtl"] #menubar .nav {
  padding-right: 0px;
}
[dir="rtl"] #menubar .navbar-nav > li {
  float: right;
}
[dir="rtl"] #menubar .navbar-right {
  float: left !important;
}
[dir="rtl"] ul.dropdown-menu {
  text-align: right;
  left: auto;
}
[dir="rtl"] ul#new-menu.dropdown-menu {
  right: auto;
  left: 0;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
[dir="rtl"] i.menu-icon.pull-right {
  float: left !important;
  float: left;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
[dir="rtl"] ul#help_menu li a {
  padding-left: 2.2em;
}
[dir="rtl"] ul#help_menu li a i {
  margin-right: 0;
  margin-left: -1.2em;
}
[dir="rtl"] ul#help_menu li a i.pull-right {
  float: left !important;
  float: left;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
[dir="rtl"] .dropdown-submenu > .dropdown-menu {
  right: 100%;
  margin-right: -1px;
}
.dropdown-submenu:hover > .dropdown-menu {
  display: block;
}
.dropdown-submenu > a:after {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  display: block;
  content: "\f0da";
  float: right;
  color: #333333;
  margin-top: 2px;
  margin-right: -10px;
}
.dropdown-submenu > a:after.fa-pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.fa-pull-right {
  margin-left: .3em;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
[dir="rtl"] .dropdown-submenu > a:after {
  float: left;
  content: "\f0d9";
  margin-right: 0;
  margin-left: -10px;
}
.dropdown-submenu:hover > a:after {
  color: #262626;
}
.dropdown-submenu.pull-left {
  float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
  left: -100%;
  margin-left: 10px;
}
#notification_area {
  float: right !important;
  float: right;
  z-index: 10;
}
[dir="rtl"] #notification_area {
  float: left !important;
  float: left;
}
.indicator_area {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] .indicator_area {
  float: left !important;
  float: left;
}
#kernel_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  border-left: 1px solid;
}
#kernel_indicator .kernel_indicator_name {
  padding-left: 5px;
  padding-right: 5px;
}
[dir="rtl"] #kernel_indicator {
  float: left !important;
  float: left;
  border-left: 0;
  border-right: 1px solid;
}
#modal_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] #modal_indicator {
  float: left !important;
  float: left;
}
#readonly-indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  margin-top: 2px;
  margin-bottom: 0px;
  margin-left: 0px;
  margin-right: 0px;
  display: none;
}
.modal_indicator:before {
  width: 1.28571429em;
  text-align: center;
}
.edit_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f040";
}
.edit_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.edit_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: ' ';
}
.command_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f10c";
}
.kernel_idle_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f111";
}
.kernel_busy_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f1e2";
}
.kernel_dead_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f127";
}
.kernel_disconnected_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.pull-right {
  margin-left: .3em;
}
.notification_widget {
  color: #777;
  z-index: 10;
  background: rgba(240, 240, 240, 0.5);
  margin-right: 4px;
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget:focus,
.notification_widget.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.notification_widget:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active:hover,
.notification_widget.active:hover,
.open > .dropdown-toggle.notification_widget:hover,
.notification_widget:active:focus,
.notification_widget.active:focus,
.open > .dropdown-toggle.notification_widget:focus,
.notification_widget:active.focus,
.notification_widget.active.focus,
.open > .dropdown-toggle.notification_widget.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  background-image: none;
}
.notification_widget.disabled:hover,
.notification_widget[disabled]:hover,
fieldset[disabled] .notification_widget:hover,
.notification_widget.disabled:focus,
.notification_widget[disabled]:focus,
fieldset[disabled] .notification_widget:focus,
.notification_widget.disabled.focus,
.notification_widget[disabled].focus,
fieldset[disabled] .notification_widget.focus {
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget .badge {
  color: #fff;
  background-color: #333;
}
.notification_widget.warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning:focus,
.notification_widget.warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.notification_widget.warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active:hover,
.notification_widget.warning.active:hover,
.open > .dropdown-toggle.notification_widget.warning:hover,
.notification_widget.warning:active:focus,
.notification_widget.warning.active:focus,
.open > .dropdown-toggle.notification_widget.warning:focus,
.notification_widget.warning:active.focus,
.notification_widget.warning.active.focus,
.open > .dropdown-toggle.notification_widget.warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  background-image: none;
}
.notification_widget.warning.disabled:hover,
.notification_widget.warning[disabled]:hover,
fieldset[disabled] .notification_widget.warning:hover,
.notification_widget.warning.disabled:focus,
.notification_widget.warning[disabled]:focus,
fieldset[disabled] .notification_widget.warning:focus,
.notification_widget.warning.disabled.focus,
.notification_widget.warning[disabled].focus,
fieldset[disabled] .notification_widget.warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.notification_widget.success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success:focus,
.notification_widget.success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.notification_widget.success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active:hover,
.notification_widget.success.active:hover,
.open > .dropdown-toggle.notification_widget.success:hover,
.notification_widget.success:active:focus,
.notification_widget.success.active:focus,
.open > .dropdown-toggle.notification_widget.success:focus,
.notification_widget.success:active.focus,
.notification_widget.success.active.focus,
.open > .dropdown-toggle.notification_widget.success.focus {
  color: #fff;
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fieldset[disabled] .notification_widget.success:focus,
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fieldset[disabled] .notification_widget.success.focus {
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.notification_widget.info:hover {
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}
.notification_widget.info:active,
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}
.notification_widget.info:active:hover,
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.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
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  background-color: #269abc;
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}
.notification_widget.info:active,
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fieldset[disabled] .notification_widget.info:hover,
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fieldset[disabled] .notification_widget.info:focus,
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fieldset[disabled] .notification_widget.info.focus {
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fieldset[disabled] .notification_widget.danger.focus {
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div#pager {
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div#pager pre {
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div#pager .ui-resizable-handle::after {
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.quickhelp {
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  display: -webkit-box;
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  -webkit-box-align: stretch;
  display: -moz-box;
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  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  line-height: 1.8em;
}
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}
.shortcut_descr {
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  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
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}
span.save_widget {
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  margin-top: 4px;
  display: flex;
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  align-items: baseline;
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  flex: 1;
}
span.save_widget span.filename {
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  border: none;
  font-size: 146.5%;
  text-overflow: ellipsis;
  overflow: hidden;
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}
span.save_widget span.filename:hover {
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}
[dir="rtl"] span.save_widget.pull-left {
  float: right !important;
  float: right;
}
[dir="rtl"] span.save_widget span.filename {
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  margin-right: 16px;
}
span.checkpoint_status,
span.autosave_status {
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  white-space: nowrap;
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}
@media (max-width: 767px) {
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    font-size: small;
    padding: 0 0 0 5px;
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  span.checkpoint_status,
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@media (min-width: 768px) and (max-width: 991px) {
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.toolbar {
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  margin-left: -5px;
  margin-top: 2px;
  margin-bottom: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
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  display: inline;
  font-size: 92%;
  margin-left: 0.3em;
  margin-right: 0.3em;
  padding: 0px;
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}
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}
.toolbar .btn-group {
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  margin-left: 5px;
}
.toolbar-btn-label {
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}
#maintoolbar {
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  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 {
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}
.pulse,
.dropdown-menu > li > a.pulse,
li.pulse > a.dropdown-toggle,
li.pulse.open > a.dropdown-toggle {
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/**
 * 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 {
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  to {
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}
@-webkit-keyframes fadeOut {
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}
@-moz-keyframes fadeIn {
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}
@-webkit-keyframes fadeIn {
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}
/*properties of tooltip after "expand"*/
.bigtooltip {
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  height: 200px;
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
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}
/*properties of tooltip before "expand"*/
.smalltooltip {
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  -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*/
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}
.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;
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  position: absolute;
  z-index: 1000;
}
.ipython_tooltip a {
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.ipython_tooltip .tooltiptext pre {
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  font-size: 100%;
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}
.pretooltiparrow {
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  margin: 0px;
  top: -16px;
  width: 40px;
  height: 16px;
  overflow: hidden;
  position: absolute;
}
.pretooltiparrow:before {
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  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);
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}
ul.typeahead-list i {
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}
[dir="rtl"] ul.typeahead-list i {
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  margin-right: -10px;
}
ul.typeahead-list {
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.cmd-palette .modal-body {
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}
.cmd-palette form {
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}
.cmd-palette input {
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}
.no-shortcut {
  min-width: 20px;
  color: transparent;
}
[dir="rtl"] .no-shortcut.pull-right {
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  float: left;
}
[dir="rtl"] .command-shortcut.pull-right {
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  float: left;
}
.command-shortcut:before {
  content: "(command mode)";
  padding-right: 3px;
  color: #777777;
}
.edit-shortcut:before {
  content: "(edit)";
  padding-right: 3px;
  color: #777777;
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[dir="rtl"] .edit-shortcut.pull-right {
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#find-and-replace #replace-preview .match,
#find-and-replace #replace-preview .insert {
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  border-style: solid;
  border-width: 1px;
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[dir="ltr"] #find-and-replace .input-group-btn + .form-control {
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}
[dir="rtl"] #find-and-replace .input-group-btn + .form-control {
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}
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  border-color: #EF9A9A;
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#find-and-replace #replace-preview .replace .insert {
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  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);
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.terminal-app .terminal,
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  font-size: 14px;
}
.terminal-app .terminal .xterm-rows {
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}
.terminal-app .terminal-cursor {
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  background: white;
}
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}
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<h1 id="Devoir-de-Python">Devoir de Python<a class="anchor-link" href="#Devoir-de-Python">&#182;</a></h1><p>Caleb KASHALA ILUNGA</p>

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<h2 id="Table-de-mati&#233;re">Table de mati&#233;re<a class="anchor-link" href="#Table-de-mati&#233;re">&#182;</a></h2>
<pre><code>- Partie scrapping
- Partie nettoyage
- Partie descriptive
- partie apprentissage machine learning</code></pre>

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<h3 id="Probl&#233;matique:-Comment-estimer-le-meilleur-prix-possible-en-fonction-de-diff&#233;rentes-variables-pr&#233;sent&#233;es?">Probl&#233;matique: Comment estimer le meilleur prix possible en fonction de diff&#233;rentes variables pr&#233;sent&#233;es?<a class="anchor-link" href="#Probl&#233;matique:-Comment-estimer-le-meilleur-prix-possible-en-fonction-de-diff&#233;rentes-variables-pr&#233;sent&#233;es?">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">selenium</span> <span class="kn">import</span> <span class="n">webdriver</span>
<span class="kn">from</span> <span class="nn">selenium.webdriver.common.by</span> <span class="kn">import</span> <span class="n">By</span>
<span class="kn">from</span> <span class="nn">selenium.webdriver.common.keys</span> <span class="kn">import</span> <span class="n">Keys</span>
<span class="kn">from</span> <span class="nn">time</span> <span class="kn">import</span> <span class="n">sleep</span><span class="p">,</span> <span class="n">time</span> 
<span class="kn">from</span> <span class="nn">selenium.common.exceptions</span> <span class="kn">import</span> <span class="n">StaleElementReferenceException</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">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">scipy.stats</span>
<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span> 

<span class="kn">from</span> <span class="nn">sklearn.linear_model</span> <span class="kn">import</span> <span class="n">LinearRegression</span><span class="p">,</span> <span class="n">Lasso</span><span class="p">,</span> <span class="n">Ridge</span><span class="p">,</span> <span class="n">ElasticNet</span>
<span class="kn">from</span> <span class="nn">sklearn.neighbors</span> <span class="kn">import</span> <span class="n">KNeighborsRegressor</span>
<span class="kn">from</span> <span class="nn">sklearn.gaussian_process</span> <span class="kn">import</span> <span class="n">GaussianProcessRegressor</span>
<span class="kn">from</span> <span class="nn">sklearn.svm</span> <span class="kn">import</span> <span class="n">SVR</span>
<span class="kn">from</span> <span class="nn">sklearn.ensemble</span> <span class="kn">import</span> <span class="n">RandomForestRegressor</span>
<span class="kn">from</span> <span class="nn">sklearn.neural_network</span> <span class="kn">import</span> <span class="n">MLPRegressor</span>

<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="kn">import</span> <span class="n">train_test_split</span><span class="p">,</span> <span class="n">cross_val_score</span>

<span class="kn">from</span> <span class="nn">sklearn.preprocessing</span> <span class="kn">import</span> <span class="n">LabelEncoder</span>
<span class="kn">from</span> <span class="nn">sklearn.preprocessing</span> <span class="kn">import</span> <span class="n">LabelBinarizer</span>
<span class="kn">from</span> <span class="nn">sklearn.preprocessing</span> <span class="kn">import</span> <span class="n">StandardScaler</span>
<span class="kn">from</span> <span class="nn">sklearn.preprocessing</span> <span class="kn">import</span> <span class="n">MinMaxScaler</span>
<span class="kn">from</span> <span class="nn">sklearn.preprocessing</span> <span class="kn">import</span> <span class="n">OneHotEncoder</span>

<span class="kn">from</span> <span class="nn">sklearn.impute</span> <span class="kn">import</span> <span class="n">SimpleImputer</span>
<span class="kn">from</span> <span class="nn">sklearn.impute</span> <span class="kn">import</span> <span class="n">MissingIndicator</span>

<span class="kn">from</span> <span class="nn">sklearn.linear_model</span> <span class="kn">import</span> <span class="n">SGDClassifier</span>

<span class="kn">from</span> <span class="nn">sklearn.compose</span> <span class="kn">import</span> <span class="n">make_column_transformer</span>
<span class="kn">from</span> <span class="nn">sklearn.pipeline</span> <span class="kn">import</span> <span class="n">Pipeline</span>
<span class="kn">from</span> <span class="nn">sklearn.compose</span> <span class="kn">import</span> <span class="n">ColumnTransformer</span>

<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="kn">import</span> <span class="n">cross_val_score</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">numpy</span> <span class="k">as</span> <span class="nn">np</span>

<span class="kn">from</span> <span class="nn">sklearn.datasets</span> <span class="kn">import</span> <span class="n">fetch_openml</span>
<span class="kn">from</span> <span class="nn">sklearn.ensemble</span> <span class="kn">import</span> <span class="n">RandomForestClassifier</span>
<span class="kn">from</span> <span class="nn">sklearn.impute</span> <span class="kn">import</span> <span class="n">SimpleImputer</span>
<span class="kn">from</span> <span class="nn">sklearn.inspection</span> <span class="kn">import</span> <span class="n">permutation_importance</span>
<span class="kn">from</span> <span class="nn">sklearn.compose</span> <span class="kn">import</span> <span class="n">ColumnTransformer</span>
<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="kn">import</span> <span class="n">train_test_split</span>
<span class="kn">from</span> <span class="nn">sklearn.pipeline</span> <span class="kn">import</span> <span class="n">Pipeline</span>
<span class="kn">from</span> <span class="nn">sklearn.preprocessing</span> <span class="kn">import</span> <span class="n">OneHotEncoder</span>

<span class="kn">from</span> <span class="nn">sklearn</span> <span class="kn">import</span> <span class="n">model_selection</span> <span class="k">as</span> <span class="n">ms</span>
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<h1 id="PARTIE-SCRAPPING">PARTIE SCRAPPING<a class="anchor-link" href="#PARTIE-SCRAPPING">&#182;</a></h1>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">driver</span> <span class="o">=</span> <span class="n">webdriver</span><span class="o">.</span><span class="n">Firefox</span><span class="p">()</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">page</span><span class="o">=</span><span class="n">driver</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;https://fr.shopping.rakuten.com/nav/Tel-PDA_Telephones-mobiles#xtatc=PUB-[PMC]-[E]-[smartphones-tablettes-objets-connectes]-[sous-categorie]-[smartphone]-[Smartphones]-[]&quot;</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">i</span><span class="o">=</span><span class="mi">1</span>
<span class="n">carac</span><span class="o">=</span><span class="p">[]</span>
<span class="n">n</span><span class="o">=</span><span class="mi">1</span>
<span class="n">pk</span><span class="o">=</span><span class="p">[]</span>
<span class="n">page</span><span class="o">=</span><span class="n">driver</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;https://fr.shopping.rakuten.com/nav/Tel-PDA_Telephones-mobiles#xtatc=PUB-[PMC]-[E]-[smartphones-tablettes-objets-connectes]-[sous-categorie]-[smartphone]-[Smartphones]-[]&quot;</span><span class="p">)</span>
<span class="n">sleep</span><span class="p">(</span><span class="mi">5</span><span class="p">)</span>
<span class="n">driver</span><span class="o">.</span><span class="n">find_element_by_link_text</span><span class="p">(</span><span class="s2">&quot;Plus tard&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">click</span><span class="p">()</span>
<span class="n">sleep</span><span class="p">(</span><span class="mi">5</span><span class="p">)</span>
<span class="n">python_button</span> <span class="o">=</span> <span class="n">driver</span><span class="o">.</span><span class="n">find_elements_by_xpath</span><span class="p">(</span><span class="s2">&quot;/html/body/div[2]/div/div/div/div/div[2]/span&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
<span class="n">python_button</span><span class="o">.</span><span class="n">click</span><span class="p">()</span>
<span class="k">while</span> <span class="n">n</span> <span class="o">&lt;</span><span class="mi">30</span><span class="p">:</span>
    <span class="n">pk</span><span class="o">.</span><span class="n">append</span><span class="p">([</span><span class="n">driver</span><span class="o">.</span><span class="n">find_elements_by_class_name</span><span class="p">(</span><span class="s2">&quot;productList_layoutContent_NC_.pl-8.f14&quot;</span><span class="p">)])</span>
    <span class="n">sleep</span><span class="p">(</span><span class="mi">4</span><span class="p">)</span>
    <span class="n">driver</span><span class="o">.</span><span class="n">find_element_by_link_text</span><span class="p">(</span><span class="s2">&quot;Suivant&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">click</span><span class="p">()</span>
    <span class="n">sleep</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
    <span class="n">p</span><span class="o">=</span><span class="n">driver</span><span class="o">.</span><span class="n">find_elements_by_class_name</span><span class="p">(</span><span class="s2">&quot;productList_layoutContent_NC_.pl-8.f14&quot;</span><span class="p">)</span>
    <span class="n">sleep</span><span class="p">(</span><span class="mi">4</span><span class="p">)</span>
    <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">p</span><span class="p">)):</span>
        <span class="n">pa</span><span class="o">=</span><span class="n">p</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">find_element_by_class_name</span><span class="p">(</span><span class="s2">&quot;silver.description_caption_3J5&quot;</span><span class="p">)</span>
        
        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">find_elements_by_class_name</span><span class="p">(</span><span class="s2">&quot;f12.description_bulletPoints_Vnz li&quot;</span><span class="p">))</span><span class="o">&gt;</span><span class="mi">1</span><span class="p">:</span>
            <span class="k">try</span><span class="p">:</span>
                <span class="n">reseau</span><span class="o">=</span><span class="p">([</span><span class="n">pa</span><span class="o">.</span><span class="n">find_elements_by_class_name</span><span class="p">(</span><span class="s2">&quot;f12.description_bulletPoints_Vnz li&quot;</span><span class="p">)[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">text</span><span class="p">])</span>
            <span class="k">except</span><span class="p">:</span>
                <span class="n">reseau</span><span class="o">=</span><span class="s2">&quot;NA&quot;</span>
            <span class="k">try</span><span class="p">:</span>
                <span class="n">ecran</span><span class="o">=</span><span class="p">([</span><span class="n">pa</span><span class="o">.</span><span class="n">find_elements_by_class_name</span><span class="p">(</span><span class="s2">&quot;f12.description_bulletPoints_Vnz li&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">text</span><span class="p">])</span>
            <span class="k">except</span><span class="p">:</span>
                <span class="n">ecran</span><span class="o">=</span><span class="s2">&quot;NA&quot;</span>
            <span class="k">try</span><span class="p">:</span>
                <span class="n">exploit</span><span class="o">=</span><span class="p">([</span><span class="n">pa</span><span class="o">.</span><span class="n">find_elements_by_class_name</span><span class="p">(</span><span class="s2">&quot;f12.description_bulletPoints_Vnz li&quot;</span><span class="p">)[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">text</span><span class="p">])</span>
            <span class="k">except</span><span class="p">:</span>
                <span class="n">exploit</span><span class="o">=</span><span class="s2">&quot;NA&quot;</span>
            <span class="k">try</span><span class="p">:</span>
                <span class="n">prix</span><span class="o">=</span><span class="p">([</span><span class="n">p</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">find_element_by_class_name</span><span class="p">(</span><span class="s2">&quot;f20.b&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">text</span><span class="p">])</span>
            <span class="k">except</span><span class="p">:</span>
                <span class="n">prix</span><span class="o">=</span><span class="s2">&quot;NA&quot;</span>
            <span class="n">m</span><span class="o">=</span><span class="n">driver</span><span class="o">.</span><span class="n">find_elements_by_class_name</span><span class="p">(</span><span class="s2">&quot;lh-title&quot;</span><span class="p">)</span>
            <span class="n">marque</span><span class="o">=</span><span class="n">m</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">text</span>
        <span class="k">else</span><span class="p">:</span>
            <span class="k">pass</span>
        
        <span class="n">Resultat</span><span class="o">=</span><span class="p">{</span><span class="s2">&quot;Marque&quot;</span><span class="p">:</span><span class="n">marque</span><span class="p">,</span><span class="s2">&quot;reseau&quot;</span><span class="p">:</span><span class="n">reseau</span><span class="p">,</span><span class="s2">&quot;exploit&quot;</span><span class="p">:</span><span class="n">exploit</span><span class="p">,</span><span class="s2">&quot;prix&quot;</span><span class="p">:</span><span class="n">prix</span><span class="p">,</span>
                  <span class="s2">&quot;écran&quot;</span><span class="p">:</span><span class="n">ecran</span><span class="p">}</span>

        <span class="n">carac</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">Resultat</span><span class="p">)</span>
    
    <span class="n">n</span><span class="o">=</span><span class="n">n</span><span class="o">+</span><span class="mi">1</span>
    
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Data</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">carac</span><span class="p">)</span>
<span class="n">Data</span><span class="o">.</span><span class="n">to_csv</span><span class="p">(</span><span class="s2">&quot;Data_Scrapping.csv&quot;</span><span class="p">)</span>
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<li>Après avoir lancé le scrapping nous obtenons une base de données avec différentes variables et modalités associées aux variables.</li>
<li>Notre base de données est une base contenant des informations sur différentes marques et modèles de téléphone, dans cette base de données nous avons 1305 observations et 5 variables:<ul>
<li>Marque </li>
<li>Réseau </li>
<li>Exploit </li>
<li>prix </li>
<li>Ècran </li>
</ul>
</li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#import re</span>
<span class="n">df1</span><span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s2">&quot;Data_Scrapping.csv&quot;</span><span class="p">)</span><span class="c1">#df[&#39;Marque&#39;] = df[&#39;Header&#39;].str.extract(&#39;([A-S]\w{0,})&#39;)</span>
<span class="n">df1</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="mi">10</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;
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Unnamed: 0</th>
      <th>Marque</th>
      <th>reseau</th>
      <th>exploit</th>
      <th>prix</th>
      <th>écran</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>1</th>
      <td>1</td>
      <td>OnePlus Nord N100 Dual SIM 64 Go Midnight Frost</td>
      <td>['Réseau 4G']</td>
      <td>['Mémoire 64 Go / RAM 4 Go']</td>
      <td>['172,58 €']</td>
      <td>['Ecran 6.52"']</td>
    </tr>
    <tr>
      <th>2</th>
      <td>2</td>
      <td>Huawei P40 lite 128 Go Double SIM Vert crush (...</td>
      <td>['Réseau 4G']</td>
      <td>['Mémoire 128 Go / RAM 6 Go']</td>
      <td>['196,59 €']</td>
      <td>['Ecran 6.4"']</td>
    </tr>
    <tr>
      <th>3</th>
      <td>3</td>
      <td>Xiaomi Poco X3 NFC Dual-SIM 64 Go Bleu</td>
      <td>['Android']</td>
      <td>['Double SIM']</td>
      <td>['203,79 €']</td>
      <td>['Mémoire 64 Go / RAM 6 Go']</td>
    </tr>
    <tr>
      <th>4</th>
      <td>4</td>
      <td>Xiaomi Mi 10T Dual-SIM 128 Go Noir</td>
      <td>['Android']</td>
      <td>['Double SIM']</td>
      <td>['409,99 €']</td>
      <td>['Mémoire 128 Go / RAM 8 Go']</td>
    </tr>
    <tr>
      <th>5</th>
      <td>5</td>
      <td>Huawei P30 lite 128 Go (RAM 4 Go) Double SIM B...</td>
      <td>['Réseau 4G']</td>
      <td>['Mémoire 128 Go / RAM 4 Go']</td>
      <td>['214,50 €']</td>
      <td>['Ecran 6.15"']</td>
    </tr>
    <tr>
      <th>6</th>
      <td>6</td>
      <td>Samsung Galaxy Note9 128 Go Double SIM Noir</td>
      <td>['Réseau 4G']</td>
      <td>['Mémoire 128 Go / RAM 6 Go']</td>
      <td>['374 €']</td>
      <td>['Ecran 6.4"']</td>
    </tr>
    <tr>
      <th>7</th>
      <td>7</td>
      <td>Samsung Galaxy S9 64 Go Double SIM Noir</td>
      <td>['Réseau 4G']</td>
      <td>['Mémoire 64 Go / RAM 4 Go']</td>
      <td>['270 €']</td>
      <td>['Ecran 5.8"']</td>
    </tr>
    <tr>
      <th>8</th>
      <td>8</td>
      <td>Huawei P20 lite 64 Go Double SIM Noir minuit</td>
      <td>['Réseau 4G']</td>
      <td>['Mémoire 64 Go / RAM 4 Go']</td>
      <td>['189 €']</td>
      <td>['Ecran 5.84"']</td>
    </tr>
    <tr>
      <th>9</th>
      <td>9</td>
      <td>Samsung Galaxy A51 128 Go Double SIM Blanc</td>
      <td>['Réseau 4G']</td>
      <td>['Mémoire 128 Go / RAM 4 Go']</td>
      <td>['289,99 €']</td>
      <td>['Ecran 6.5"']</td>
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<h1 id="Partie-Nettoyage">Partie Nettoyage<a class="anchor-link" href="#Partie-Nettoyage">&#182;</a></h1><h4 id="Apr&#232;s-avoir-cr&#233;&#233;-notre-base-de-donn&#233;es-provenant-du-scrapping-nous-allons-commencer-par-nettoyer-notre-base-de-donn&#233;es-et-apporter-quelques-modifications.">Apr&#232;s avoir cr&#233;&#233; notre base de donn&#233;es provenant du scrapping nous allons commencer par nettoyer notre base de donn&#233;es et apporter quelques modifications.<a class="anchor-link" href="#Apr&#232;s-avoir-cr&#233;&#233;-notre-base-de-donn&#233;es-provenant-du-scrapping-nous-allons-commencer-par-nettoyer-notre-base-de-donn&#233;es-et-apporter-quelques-modifications.">&#182;</a></h4>
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<p>Dans un premier temps nous commençons par transformer toutes nos variables en type "str" pour pouvoir facilement utiliser les fonctions extract etreplace.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#str</span>
<span class="n">df1</span><span class="p">[</span><span class="s1">&#39;écran&#39;</span><span class="p">]</span><span class="o">=</span><span class="n">df1</span><span class="p">[</span><span class="s1">&#39;écran&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
<span class="n">df1</span><span class="p">[</span><span class="s1">&#39;reseau&#39;</span><span class="p">]</span><span class="o">=</span><span class="n">df1</span><span class="p">[</span><span class="s1">&#39;reseau&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
<span class="n">df1</span><span class="p">[</span><span class="s1">&#39;Marque&#39;</span><span class="p">]</span><span class="o">=</span><span class="n">df1</span><span class="p">[</span><span class="s1">&#39;Marque&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
<span class="n">df1</span><span class="p">[</span><span class="s1">&#39;exploit&#39;</span><span class="p">]</span><span class="o">=</span><span class="n">df1</span><span class="p">[</span><span class="s1">&#39;exploit&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
<span class="n">df1</span><span class="p">[</span><span class="s1">&#39;prix&#39;</span><span class="p">]</span><span class="o">=</span><span class="n">df1</span><span class="p">[</span><span class="s1">&#39;prix&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#str</span>
<span class="c1">#df[&#39;sexe&#39;].astype(&#39;int&#39;)</span>
<span class="n">df1</span><span class="o">.</span><span class="n">dropna</span> <span class="p">(</span> <span class="n">axis</span> <span class="o">=</span> <span class="mi">0</span> <span class="p">,</span>  <span class="n">how</span> <span class="o">=</span> <span class="s1">&#39;all&#39;</span> <span class="p">)</span>
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      <th>reseau</th>
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      <th>prix</th>
      <th>écran</th>
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      <th>0</th>
      <td>0</td>
      <td>Samsung Galaxy Note10 256 Go Double SIM Noir</td>
      <td>['Réseau 4G']</td>
      <td>['Mémoire 256 Go / RAM 8 Go']</td>
      <td>['546,88 €']</td>
      <td>['Ecran 6.3"']</td>
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      <th>1</th>
      <td>1</td>
      <td>OnePlus Nord N100 Dual SIM 64 Go Midnight Frost</td>
      <td>['Réseau 4G']</td>
      <td>['Mémoire 64 Go / RAM 4 Go']</td>
      <td>['172,58 €']</td>
      <td>['Ecran 6.52"']</td>
    </tr>
    <tr>
      <th>2</th>
      <td>2</td>
      <td>Huawei P40 lite 128 Go Double SIM Vert crush (...</td>
      <td>['Réseau 4G']</td>
      <td>['Mémoire 128 Go / RAM 6 Go']</td>
      <td>['196,59 €']</td>
      <td>['Ecran 6.4"']</td>
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      <th>3</th>
      <td>3</td>
      <td>Xiaomi Poco X3 NFC Dual-SIM 64 Go Bleu</td>
      <td>['Android']</td>
      <td>['Double SIM']</td>
      <td>['203,79 €']</td>
      <td>['Mémoire 64 Go / RAM 6 Go']</td>
    </tr>
    <tr>
      <th>4</th>
      <td>4</td>
      <td>Xiaomi Mi 10T Dual-SIM 128 Go Noir</td>
      <td>['Android']</td>
      <td>['Double SIM']</td>
      <td>['409,99 €']</td>
      <td>['Mémoire 128 Go / RAM 8 Go']</td>
    </tr>
    <tr>
      <th>...</th>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
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    <tr>
      <th>1300</th>
      <td>1300</td>
      <td>Apple iPhone 6 Plus 16 Go Or</td>
      <td>['Réseau 4G']</td>
      <td>['iOS 8']</td>
      <td>['164,90 €']</td>
      <td>['Ecran 5.5"']</td>
    </tr>
    <tr>
      <th>1301</th>
      <td>1301</td>
      <td>Samsung Galaxy A5 (2017) Dual SIM 32 Go Or sable</td>
      <td>['Android 6.0 (Marshmallow)']</td>
      <td>['Double SIM']</td>
      <td>['159,98 €']</td>
      <td>['Ecran 5.2"']</td>
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      <th>1302</th>
      <td>1302</td>
      <td>Samsung Galaxy Xcover 4 16 Go Noir</td>
      <td>['Réseau 4G']</td>
      <td>['Mémoire 16 Go / RAM 2 Go']</td>
      <td>['159,99 €']</td>
      <td>['Ecran 5"']</td>
    </tr>
    <tr>
      <th>1303</th>
      <td>1303</td>
      <td>Samsung Galaxy A5 (2017) 32 Go Or</td>
      <td>['Réseau 4G']</td>
      <td>['Mémoire 32 Go / RAM 3 Go']</td>
      <td>['149,99 €']</td>
      <td>['Ecran 5.2"']</td>
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    <tr>
      <th>1304</th>
      <td>1304</td>
      <td>Google Pixel 3A XL 64 Go Blanc</td>
      <td>['Single-SIM (SIM unique)']</td>
      <td>nan</td>
      <td>['280,60 €']</td>
      <td>['Android 9.0 Pie']</td>
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<p>1305 rows × 6 columns</p>
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<p>Dans un premier temps nous commençons par nettoyer la variable marque, pour si faire nous avons fait en sorte de ne garder que les marquent des téléphones et non pas les modèles associés aux marques.\
Ensuite nous avons mis toutes les variables en minuscule, pour facilement pouvoir séparer les données par marques.</p>

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<pre>C:\Users\caleb\Desktop\Devoir python\Nettoyage.py:5: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  fichier[&#39;Marque&#39;][i]=&#34;Inconnu&#34;
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<pre>samsung       389
apple         275
xiaomi        138
inconnu       135
huawei        111
oneplus        43
nokia          41
sony           38
google         26
honor          21
asus           17
oppo           16
realme         16
lg             13
blackberry     10
nubia           9
alcatel         3
oukitel         2
cubot           2
Name: Marque, dtype: int64</pre>
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<p>Dans la cellule suivante nous avons nettoyé les données provenant de la variable écran. Nous avons enlevé la chaine de caractère "['Écran " au début et nous avons enlevé les 3 dernières chaine de caractère</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Nettoyage</span><span class="o">.</span><span class="n">nettoyage_ecran</span><span class="p">(</span><span class="n">df1</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">del</span> <span class="n">df1</span><span class="p">[</span><span class="s1">&#39;Unnamed: 0&#39;</span><span class="p">]</span>
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<span class="n">df1</span><span class="p">[</span><span class="s1">&#39;écran&#39;</span><span class="p">]</span><span class="o">=</span><span class="n">df1</span><span class="p">[</span><span class="s1">&#39;écran&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
<span class="n">df1</span><span class="p">[</span><span class="s1">&#39;reseau&#39;</span><span class="p">]</span><span class="o">=</span><span class="n">df1</span><span class="p">[</span><span class="s1">&#39;reseau&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
<span class="n">df1</span><span class="p">[</span><span class="s1">&#39;Marque&#39;</span><span class="p">]</span><span class="o">=</span><span class="n">df1</span><span class="p">[</span><span class="s1">&#39;Marque&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
<span class="n">df1</span><span class="p">[</span><span class="s1">&#39;exploit&#39;</span><span class="p">]</span><span class="o">=</span><span class="n">df1</span><span class="p">[</span><span class="s1">&#39;exploit&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
<span class="n">df1</span><span class="p">[</span><span class="s1">&#39;prix&#39;</span><span class="p">]</span><span class="o">=</span><span class="n">df1</span><span class="p">[</span><span class="s1">&#39;prix&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
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<p>Pour le nettoyage de du variable réseau nous avons transformé les modalités:</p>

<pre><code>- 5G si le téléphone est doté d'un réseau 5G
- 4G si le téléphone est doté d'un réseau 4G
- 3G si le téléphone est doté d'un réseau 3G</code></pre>

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<p>En ce qui concerne le nettoyage des données provenant de la variable prix nous avons remplacé les virgules par des points pour pouvoir ensuite les transformer en type numérique, ensuite nous avons enlevé le signe euro et le "nan" présent dans cette colonne.</p>

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<p>En ce qui concerne le nettoyage des données provenant de la variable exploit nous avons effacé les chaines de caractère "['" et "']" présent.</p>

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<p>À partir de le variable exploit nous avons créé deux variables la variable RAM et la variable mémoire. Dans le cas où l'information sur le RAM et la mémoire serait inexistante dans le variable exploit nous avons défini la modalité "inconnu". Et nous avons pour la fin supprimée la colonne associée à la variable exploit.</p>

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<span class="n">df1</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="mi">10</span><span class="p">]</span>
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  </thead>
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    <tr>
      <th>1</th>
      <td>oneplus</td>
      <td>4G</td>
      <td>172.58</td>
      <td>6.52</td>
      <td>RAM 4 Go</td>
      <td>64</td>
    </tr>
    <tr>
      <th>2</th>
      <td>huawei</td>
      <td>4G</td>
      <td>196.59</td>
      <td>6.4</td>
      <td>RAM 6 Go</td>
      <td>128</td>
    </tr>
    <tr>
      <th>5</th>
      <td>huawei</td>
      <td>4G</td>
      <td>214.50</td>
      <td>6.15</td>
      <td>RAM 4 Go</td>
      <td>128</td>
    </tr>
    <tr>
      <th>6</th>
      <td>samsung</td>
      <td>4G</td>
      <td>374</td>
      <td>6.4</td>
      <td>RAM 6 Go</td>
      <td>128</td>
    </tr>
    <tr>
      <th>7</th>
      <td>samsung</td>
      <td>4G</td>
      <td>270</td>
      <td>5.8</td>
      <td>RAM 4 Go</td>
      <td>64</td>
    </tr>
    <tr>
      <th>8</th>
      <td>huawei</td>
      <td>4G</td>
      <td>189</td>
      <td>5.84</td>
      <td>RAM 4 Go</td>
      <td>64</td>
    </tr>
    <tr>
      <th>9</th>
      <td>samsung</td>
      <td>4G</td>
      <td>289.99</td>
      <td>6.5</td>
      <td>RAM 4 Go</td>
      <td>128</td>
    </tr>
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      <th>10</th>
      <td>inconnu</td>
      <td>5G</td>
      <td>320.88</td>
      <td>6.6</td>
      <td>RAM 4 Go</td>
      <td>128</td>
    </tr>
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      <th>11</th>
      <td>google</td>
      <td>5G</td>
      <td>825</td>
      <td>6</td>
      <td>RAM 8 Go</td>
      <td>128</td>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">df1</span><span class="p">[</span><span class="s1">&#39;Ram&#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>Inconnu        330
 RAM 4 Go      181
 RAM 6 Go      157
 RAM 8 Go      124
 RAM 3 Go       84
 RAM 2 Go       61
 RAM 1 Go       18
 RAM 12 Go       9
 RAM 512 Mo      7
 Inconnu         3
 RAM 16 Go       3
Name: Ram, dtype: int64
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Nettoyage</span><span class="o">.</span><span class="n">nettoyage_prix</span><span class="p">(</span><span class="n">df1</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="n">df1</span><span class="o">.</span><span class="n">Marque</span><span class="o">.</span><span class="n">value_counts</span><span class="p">())</span>
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<pre>samsung       267
apple         258
xiaomi        114
huawei         93
inconnu        64
sony           29
oneplus        29
nokia          26
google         21
honor          21
asus           15
oppo           14
lg              9
blackberry      8
realme          8
alcatel         1
Name: Marque, dtype: int64
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df1</span><span class="o">=</span><span class="n">df1</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()</span>
<span class="k">del</span> <span class="n">df1</span><span class="p">[</span><span class="s1">&#39;index&#39;</span><span class="p">]</span>
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<li>Àprès avoir nettoyé toute notre base de données et ajouté deux variables  nous nous retrouvons avec une base de données de 977 observations et 6 variables.  </li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df1</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="mi">10</span><span class="p">]</span>
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<table border="1" class="dataframe">
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      <th></th>
      <th>Marque</th>
      <th>reseau</th>
      <th>prix</th>
      <th>écran</th>
      <th>Ram</th>
      <th>Mémoire</th>
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      <th>1</th>
      <td>oneplus</td>
      <td>4G</td>
      <td>172.58</td>
      <td>6.52</td>
      <td>RAM 4 Go</td>
      <td>64</td>
    </tr>
    <tr>
      <th>2</th>
      <td>huawei</td>
      <td>4G</td>
      <td>196.59</td>
      <td>6.4</td>
      <td>RAM 6 Go</td>
      <td>128</td>
    </tr>
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      <th>3</th>
      <td>huawei</td>
      <td>4G</td>
      <td>214.50</td>
      <td>6.15</td>
      <td>RAM 4 Go</td>
      <td>128</td>
    </tr>
    <tr>
      <th>4</th>
      <td>samsung</td>
      <td>4G</td>
      <td>374</td>
      <td>6.4</td>
      <td>RAM 6 Go</td>
      <td>128</td>
    </tr>
    <tr>
      <th>5</th>
      <td>samsung</td>
      <td>4G</td>
      <td>270</td>
      <td>5.8</td>
      <td>RAM 4 Go</td>
      <td>64</td>
    </tr>
    <tr>
      <th>6</th>
      <td>huawei</td>
      <td>4G</td>
      <td>189</td>
      <td>5.84</td>
      <td>RAM 4 Go</td>
      <td>64</td>
    </tr>
    <tr>
      <th>7</th>
      <td>samsung</td>
      <td>4G</td>
      <td>289.99</td>
      <td>6.5</td>
      <td>RAM 4 Go</td>
      <td>128</td>
    </tr>
    <tr>
      <th>8</th>
      <td>inconnu</td>
      <td>5G</td>
      <td>320.88</td>
      <td>6.6</td>
      <td>RAM 4 Go</td>
      <td>128</td>
    </tr>
    <tr>
      <th>9</th>
      <td>google</td>
      <td>5G</td>
      <td>825</td>
      <td>6</td>
      <td>RAM 8 Go</td>
      <td>128</td>
    </tr>
  </tbody>
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<h1 id="PARTIE-DESCRIPTIVE">PARTIE DESCRIPTIVE<a class="anchor-link" href="#PARTIE-DESCRIPTIVE">&#182;</a></h1>
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<p>Pour commencer cette partie nous transformons toutes nos variables en type "category" sauf la variable correspondant au prix.</p>

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<span class="n">df1</span><span class="o">.</span><span class="n">Ram</span><span class="o">=</span><span class="n">df1</span><span class="o">.</span><span class="n">Ram</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s2">&quot;category&quot;</span><span class="p">)</span>
<span class="n">df1</span><span class="o">.</span><span class="n">reseau</span><span class="o">=</span><span class="n">df1</span><span class="o">.</span><span class="n">reseau</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s2">&quot;category&quot;</span><span class="p">)</span>
<span class="n">df1</span><span class="o">.</span><span class="n">Marque</span><span class="o">=</span><span class="n">df1</span><span class="o">.</span><span class="n">Marque</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s2">&quot;category&quot;</span><span class="p">)</span>
<span class="n">df1</span><span class="p">[</span><span class="s1">&#39;écran&#39;</span><span class="p">]</span><span class="o">=</span><span class="n">df1</span><span class="p">[</span><span class="s1">&#39;écran&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s2">&quot;category&quot;</span><span class="p">)</span>
<span class="n">df1</span><span class="p">[</span><span class="s1">&#39;Mémoire&#39;</span><span class="p">]</span><span class="o">=</span><span class="n">df1</span><span class="p">[</span><span class="s1">&#39;Mémoire&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s2">&quot;category&quot;</span><span class="p">)</span>
<span class="n">df1</span><span class="o">.</span><span class="n">prix</span><span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">to_numeric</span><span class="p">(</span><span class="n">df1</span><span class="p">[</span><span class="s2">&quot;prix&quot;</span><span class="p">])</span>
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<p>Avec cette commande nous montrons le nombre de modalités par variable, modalité la plus représentée pour chaque variable et leur nombre d'apparition.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">price</span> <span class="o">=</span> <span class="n">complet</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s1">&#39;prix&#39;</span><span class="p">)</span> <span class="c1"># transformer la variable en</span>
<span class="nb">print</span><span class="p">(</span><span class="n">price</span><span class="o">.</span><span class="n">describe</span><span class="p">())</span>
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<pre>         Marque reseau écran      Ram  Mémoire
count       977    977   977      977      977
unique       16      3    72       11        9
top     samsung     4G   6.1  Inconnu  Inconnu
freq        267    784    83      330      333
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<p>Ici nous montrons quelques informations sur le variable prix, notamment la moyenne, le minimum et le maximum.</p>

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      <th></th>
      <th>prix</th>
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      <th>count</th>
      <td>977.00</td>
    </tr>
    <tr>
      <th>mean</th>
      <td>370.50</td>
    </tr>
    <tr>
      <th>std</th>
      <td>321.79</td>
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      <th>min</th>
      <td>15.00</td>
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      <th>25%</th>
      <td>159.40</td>
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      <th>50%</th>
      <td>255.00</td>
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      <th>75%</th>
      <td>469.99</td>
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      <th>max</th>
      <td>2099.00</td>
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<span class="kn">import</span> <span class="nn">numpy</span>
<span class="kn">import</span> <span class="nn">pandas</span>
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<p>Nous remarquons grace à ces deux graphiques que la majorité des téléphones ont un prix compris entre 15 et 500 euros.</p>

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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x20f5a8f91c0&gt;</pre>
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<div class="prompt input_prompt">In&nbsp;[29]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df1</span><span class="o">.</span><span class="n">prix</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span> <span class="o">=</span> <span class="s2">&quot;kde&quot;</span><span class="p">)</span>
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    <div class="prompt output_prompt">Out[29]:</div>


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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x20f5b0af760&gt;</pre>
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<p>Grâce à ce boxplot nous constatons que le prix du téléphone dépend assez grandement de sa technologie réseau.\
Plus la technologie réseau est élevée plus le prix en moyenne est élevé.</p>

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<div class="prompt input_prompt">In&nbsp;[30]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">14</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span>
<span class="n">sns</span><span class="o">.</span><span class="n">boxplot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s2">&quot;reseau&quot;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s2">&quot;prix&quot;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">df1</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x20f5b10fd90&gt;</pre>
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<p>Grâce à ce diagramme en bâton nous observons que les téléphones de marque Samsung et apple sont les plus représentés ensuite viennent les marques telles que xiaomi, huawei et la variable "inconnu".</p>

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<div class="prompt input_prompt">In&nbsp;[31]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">t</span> <span class="o">=</span> <span class="n">pandas</span><span class="o">.</span><span class="n">crosstab</span><span class="p">(</span><span class="n">df1</span><span class="o">.</span><span class="n">Marque</span><span class="p">,</span> <span class="s2">&quot;freq&quot;</span><span class="p">)</span>
<span class="n">t</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">bar</span><span class="p">()</span>
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    <div class="prompt output_prompt">Out[31]:</div>


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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x20f5b18c7c0&gt;</pre>
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<p>Dans ce graphique nous représentons des boxplot qui nous montrent les prix par marques.</p>

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<div class="prompt input_prompt">In&nbsp;[32]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">14</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span>
<span class="n">sns</span><span class="o">.</span><span class="n">boxplot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s2">&quot;Marque&quot;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s2">&quot;prix&quot;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">df1</span><span class="p">)</span>
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    <div class="prompt output_prompt">Out[32]:</div>


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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x20f5b17cee0&gt;</pre>
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>
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<p>Ici nous représentons un camembert qui repreneuse l'effectif des téléphones pour chaque RAM disponiple.</p>

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<div class="prompt input_prompt">In&nbsp;[33]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">t</span> <span class="o">=</span> <span class="n">pandas</span><span class="o">.</span><span class="n">crosstab</span><span class="p">(</span><span class="n">df1</span><span class="o">.</span><span class="n">Ram</span><span class="p">,</span> <span class="s2">&quot;freq&quot;</span><span class="p">)</span>
<span class="n">t</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">pie</span><span class="p">(</span><span class="n">subplots</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">figsize</span> <span class="o">=</span> <span class="p">(</span><span class="mi">8</span><span class="p">,</span><span class="mi">8</span><span class="p">))</span>
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    <div class="prompt output_prompt">Out[33]:</div>


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<pre>array([&lt;matplotlib.axes._subplots.AxesSubplot object at 0x0000020F5B1B2580&gt;],
      dtype=object)</pre>
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<p>Ce graphique nous montre la quantité de téléphone en fonction de sa technologie réseau et de sa mémoire.</p>

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<div class="prompt input_prompt">In&nbsp;[34]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">t</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">crosstab</span><span class="p">(</span><span class="n">df1</span><span class="o">.</span><span class="n">reseau</span><span class="p">,</span> <span class="n">df1</span><span class="o">.</span><span class="n">Mémoire</span><span class="p">)</span>
<span class="n">t</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">bar</span><span class="p">(</span> <span class="n">figsize</span> <span class="o">=</span> <span class="p">(</span><span class="mi">8</span><span class="p">,</span><span class="mi">8</span><span class="p">))</span>
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    <div class="prompt output_prompt">Out[34]:</div>


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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x20f5b565b50&gt;</pre>
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48ZM2YUa/QP8OtSkqR6+9740xr08b4+495a3+f2229n8ODBOyw7/PDDmTZtGlOmTNlheZs2bfjlL39Jjx49eOmllzjuuOMYOXIkBx54YL3mbgiGWZLUbJWXlwPQosWOB4iPPvromp8PPfRQunTpwvr167MIs4eyJUnNwuc//3kGDBjAv//7v5NS2uP7PfXUU2zZsoWjjjqqEafbc4ZZklTybr/9dpYtW8a8efOYN28ev/rVr/bofmvXruWcc87h1ltv/cBedbHkMYUkSfXQrVs3ANq3b89nPvMZnnrqqd3e58033+TUU0/luuuuo6KiorFH3GOGWZJU0qqqqnjllVcA2Lp1K/feey/HHnvsLu+zZcsWzjzzTM4991zGjRvXFGPuMcMsSSppmzdvZuTIkfTr148BAwbQrVs3zj//fADmz59PWVkZd955JxdeeCF9+vQBYObMmTz66KNMmzat5itWS5YsKebLqOGnsiVJ9VaXrzc1lLZt27Jw4cKdrjv++OOprKz8wPLPfe5zfO5zn2vs0erEPWZJkjJimCVJyohhliQpI4ZZkqSMGGZJkjJimCVJyohhliSVvC1btnDBBRdw9NFH07NnT+6+++4d1t91111EBAsWLCjShHvO7zFLkuqt8vJ5Dfp4ZTd8rFbbT548mS5durBq1SreeecdXnvttZp1b731Fj/84Q/5yEc+0qAzNhb3mCVJJe8Xv/gF3/zmN4HqSzwefPDBNeuuuuoqJk2aROvWrYs1Xq0YZklSSXv99deB6gAPGjSIcePG8fLLLwOwePFiXnzxRU477bRijlgrhlmSVNKqqqqorKzkhBNOYNGiRQwdOpRLL72Ud955h3/913/le9/7XrFHrBXDLEkqaZ06daJNmzaceeaZAIwbN45Fixbx1ltvsXz5coYNG0Z5eTlPPPEEY8aMyf4DYIZZklTSIoLRo0czZ84cAB566CF69+5Nhw4deOWVV1izZg1r1qyhoqKCWbNmMXjw4OIOvBt+KluSVPK+853vcM4553DJJZfQuXNnbr311mKPVGeGWZJUb7X9elNDO+KII3j00Ud3uc27e9S581C2JEkZMcySJGXEMEuSlBHDLElSRgyzJEkZMcySJGXEMEuSSt706dPp27cv/fr145RTTuGVV14p9kh15veYJUn1ds011xTt8aqqqvja177GihUrOPjgg5k0aRI33nhjg8/UVNxjliSVtJQSKSU2btxISok333yTQw89tNhj1Zl7zJKkktaqVStuuukm+vbtS9u2benRowc//vGPiz1WnRlmSbVSefm8Xa4v9qkZtffZunUrN910E4sXL+bII4/kK1/5Ctdffz1XXnllsUerEw9lS5JK2pIlSwA46qijiAg+/elP86c//anIU9WdYZYklbRu3bqxYsUK1q9fD8CDDz5Ir169ijxV3XkoW5JU0g499FC+9a1vceKJJ9KqVSuOOOIIpk2bVuyx6swwS5LqrdhfTZo4cSITJ04s6gwNxUPZkiRlxDBLkpQRwyxJUkYMsyRJGTHMkiRlxDBLkpQRwyxJKknt2rUr9giNwu8xS5Lq7aGHj2rQxxtx0l8b9PFKiXvMkqSSNmfOHIYNG8bYsWPp2bMnn/3sZ0kpATB//nz+6Z/+if79+zNkyBDeeustNm3axOc//3n69u3LwIEDeeSRRwCYNm0an/rUpzjllFPo0aMHkyZNqnmOdu3accUVV9C/f38qKip4+eWXATjvvPO46667dtiuvgyzJKnkLV68mO9///usWLGC5557jscff5wtW7Ywfvx4fvCDH/D0008ze/Zs9t9//5pLQi5btozp06czYcIENm3aBFRfEGPGjBksW7aMGTNm8OKLLwKwceNGKioqePrppznxxBO5+eabG+21GGZJUskbMmQIZWVltGjRggEDBrBmzRqeeeYZunbtyvHHHw/AAQccQMuWLXnsscc455xzAOjZsydHHHEEq1atAmDEiBF06NCB1q1b07t3b55//nkA9t13X0477TQAjjvuONasWdNor8UwS5JK3n777Vfz8z777ENVVRUpJSLiA9u+e5h7Tx8HoFWrVjWPtf3yli1b8s4779Q87pYtW+r9WgyzJKlZ6tmzJy+99BLz588H4K233qKqqooTTzyR22+/HYBVq1bxwgsvcMwxx9TpOcrLy1m4cCEA99xzD1u3bq333IZZktQs7bvvvsyYMYOvfOUr9O/fn5NPPplNmzbxL//yL2zbto2+ffsyfvx4pk2btsOecm2cf/75zJ07lyFDhvDkk0/Stm3bes8du9qlbyqDBw9OCxYsKPYYUqMqv/y+3W6z5oZTm2CS+qm8fN4u15fd8LFdrt+Tr9XszV+VKRUrV66kV69exR6jZOzs7ysiFqaUBr9/W/eYJUnKiGGWJCkjhlmSpIwYZklSneTwGaVSUNu/J8MsSaq11q1b8+qrrxrn3Ugp8eqrr9K6des9vo8XsZAk1VpZWRmVlZWsX7++2KNkr3Xr1pSVle3x9oZZklRrrVq1onv37sUeo1na7aHsiPhFRKyLiOXbLbsmIv5fRCwp/PPJ7dZ9MyJWR8QzETGysQaXJKk52pPfMU8DTtnJ8v9IKQ0o/PMHgIjoDZwF9Cnc5ycRsU9DDStJUnO32zCnlB4FXtvDxzsduCOltDml9DdgNTCkHvNJkrRXqc+nsi+OiKWFQ90dC8u6AS9ut01lYdkHRMQFEbEgIhb44QFJkqrVNcw3AUcBA4C1wPcKyz94fS3Y6WfpU0o/SykNTikN7ty5cx3HkCSpealTmFNKL6eUtqWU3gFu5r3D1ZXAYdttWga8VL8RJUnae9QpzBHRdbubZwLvfmJ7FnBWROwXEd2BHsBT9RtRkqS9x26/xxwR04FhwMERUQl8CxgWEQOoPky9BrgQIKX0l4iYCawAqoCLUkrbGmd0SZKan92GOaV09k4W37KL7ScDk+szlCRJeyvPlS1JUkYMsyRJGTHMkiRlxDBLkpQRwyxJUkYMsyRJGTHMkiRlxDBLkpQRwyxJUkYMsyRJGTHMkiRlxDBLkpQRwyxJUkYMsyRJGTHMkiRlxDBLkpQRwyxJUkYMsyRJGTHMkiRlxDBLkpQRwyxJUkYMsyRJGTHMkiRlxDBLkpQRwyxJUkYMsyRJGTHMkiRlxDBLkpQRwyxJUkYMsyRJGTHMkiRlxDBLkpQRwyxJUkYMsyRJGTHMkiRlxDBLkpQRwyxJUkYMsyRJGTHMkiRlxDBLkpQRwyxJUkYMsyRJGTHMkiRlxDBLkpQRwyxJUkYMsyRJGTHMkiRlxDBLkpQRwyxJUkYMsyRJGTHMkiRlxDBLkpQRwyxJUkYMsyRJGTHMkiRlxDBLkpQRwyxJUkYMsyRJGTHMkiRlxDBLkpQRwyxJUkYMsyRJGTHMkiRlxDBLkpQRwyxJUkYMsyRJGTHMkiRlxDBLkpQRwyxJUkYMsyRJGTHMkiRlxDBLkpQRwyxJUkYMsyRJGTHMkiRlxDBLkpQRwyxJUkYMsyRJGTHMkiRlxDBLkpQRwyxJUkZ2G+aI+EVErIuI5dstOygiHoyIZwt/dtxu3TcjYnVEPBMRIxtrcEmSmqM92WOeBpzyvmWXAw+llHoADxVuExG9gbOAPoX7/CQi9mmwaSVJauZ2G+aU0qPAa+9bfDpwW+Hn24Aztlt+R0ppc0rpb8BqYEgDzSpJUrNX198xH5JSWgtQ+LNLYXk34MXttqssLJMkSXugoT/8FTtZlna6YcQFEbEgIhasX7++gceQJKk01TXML0dEV4DCn+sKyyuBw7bbrgx4aWcPkFL6WUppcEppcOfOnes4hiRJzUvLOt5vFjABuKHw5z3bLf9NREwFDgV6AE/Vd0hJe2Zlz167XN/rv1c20SSS6mq3YY6I6cAw4OCIqAS+RXWQZ0bEF4EXgHEAKaW/RMRMYAVQBVyUUtrWSLNLktTs7DbMKaWzP2TViA/ZfjIwuT5DSZK0t/LMX5IkZcQwS5KUEcMsSVJGDLMkSRkxzJIkZcQwS5KUEcMsSVJGDLMkSRkxzJIkZcQwS5KUEcMsSVJGDLMkSRkxzJIkZcQwS5KUEcMsSVJGDLMkSRkxzJIkZcQwS5KUEcMsSVJGDLMkSRkxzJIkZcQwS5KUEcMsSVJGDLMkSRkxzJIkZcQwS5KUEcMsSVJGDLMkSRkxzJIkZcQwS5KUEcMsSVJGDLMkSRkxzJIkZcQwS5KUEcMsSVJGDLMkSRkxzJIkZcQwS5KUEcMsSVJGDLMkSRkxzJIkZcQwS5KUEcMsSVJGDLMkSRkxzJIkZaRlsQeQJKk+Hnr4qN1uM+KkvzbBJA3DPWZJkjJimCVJyohhliQpI4ZZkqSMGGZJkjJimCVJyohhliQpI4ZZkqSMGGZJkjJimCVJyohhliQpI4ZZkqSMGGZJkjJimCVJyohhliQpI4ZZkqSMGGZJkjJimCVJyohhliQpI4ZZkqSMGGZJkjJimCVJyohhliQpI4ZZkqSMGGZJkjJimCVJyohhliQpI4ZZkqSMGGZJkjJimCVJyohhliQpI4ZZkqSMGGZJkjJimCVJyohhliQpI4ZZkqSMtKzPnSNiDfAWsA2oSikNjoiDgBlAObAG+HRK6e/1G1OSpL1DQ+wxD08pDUgpDS7cvhx4KKXUA3iocFuSJO2BxjiUfTpwW+Hn24AzGuE5JElqlup1KBtIwAMRkYCfppR+BhySUloLkFJaGxFddnbHiLgAuADg8MMPr+cYUjNxTYfdrH+jaeaQVDT1DfMJKaWXCvF9MCL+e0/vWIj4zwAGDx6c6jmHJEnNQr0OZaeUXir8uQ74HTAEeDkiugIU/lxX3yElSdpb1DnMEdE2Itq/+zPwCWA5MAuYUNhsAnBPfYeUJGlvUZ9D2YcAv4uIdx/nNymlP0bEfGBmRHwReAEYV/8xJUnaO9Q5zCml54D+O1n+KjCiPkNJkrS38sxfkiRlxDBLkpQRwyxJUkYMsyRJGTHMkiRlpL5n/pIkFUn55fftcv2aG05toknUkNxjliQpI4ZZkqSMGGZJkjJimCVJyohhliQpI4ZZkqSMGGZJkjJimCVJyohhliQpI4ZZkqSMGGZJkjJimCVJyohhliQpI4ZZkqSMGGZJkjJimCVJyohhliQpI4ZZkqSMGGZJkjJimCVJyohhliQpIy2LPYDy99DDR+1y/YiT/tpEk0hS8+cesyRJGXGPWSohfW/ru8v1M5toDkmNxz1mSZIyYpglScqIYZYkKSOGWZKkjPjhL0nai+3uA4XLJixrokn0LveYJUnKiGGWJCkjhlmSpIwYZkmSMmKYJUnKiGGWJCkjhlmSpIwYZkmSMmKYJUnKiGGWJCkjhlmSpIwYZkmSMmKYJUnKiGGWJCkjhlmSpIwYZkmSMmKYJUnKiGGWJCkjhlmSpIwYZkmSMmKYJUnKiGGWJCkjhlmSpIwYZkmSMmKYJUnKiGGWJCkjhlmSpIwYZkmSMmKYJUnKiGGWJCkjhlmSpIwYZkmSMtKy2ANIal6uueaaXa7/2IlNM4dUqtxjliQpI4ZZkqSMGGZJkjJimCVJyogf/trL7e6DOuCHdfY23xt/2i7Xj+/+jSaaRNo7uccsSVJG3GOWJDWa3R2BAfj6jHubYJLS4R6zJEkZMcySJGXEMEuSlBHDLElSRgyzJEkZMcySJGWk0b4uFRGnAD8A9gF+nlK6obGeqzn78cSHd7n+ov88qYkmUXOwu/eTpOJrlD3miNgH+DEwCugNnB0RvRvjuSRJak4aa495CLA6pfQcQETcAZwOrGik5yuOazrsZv0bTTOHJJWwysvn7XJ92Q0fa6JJ8tBYv2PuBry43e3KwjJJkrQLkVJq+AeNGAeMTCl9qXD7HGBISukr221zAXBB4eYxwDMNPkjzdDDwSrGHULPie0oNyffTnjsipdT5/Qsb61B2JXDYdrfLgJe23yCl9DPgZ430/M1WRCxIKQ0u9hxqPnxPqSH5fqq/xjqUPR/oERHdI2Jf4CxgViM9lyRJzUaj7DGnlKoi4mLgfqq/LvWLlNJfGuO5JElqThrte8wppT8Af2isx9+LefhfDc33lBqS76d6apQPf0mSpLrxlJySJGXEMEuSlBHDLElSRhrtw1+qn8L5xvdPKW0o3K4A9oWn1yEAAARHSURBVC2sXpxSeqtow6kk+Z5SQ/M91Tj88FemImIKsC6l9H8Kt/8GLAdaA4tSSt8o5nwqPb6n1NB8TzUO95jzNQI4frvbr6eURkdEALs+47u0c76n1NB8TzUCf8ecrxYppartbn8DIFUf4mhXnJFU4nxPqaH5nmoEhjlf+0ZE+3dvpJQeAIiIDlQfJpJqy/eUGprvqUZgmPN1MzAjIg5/d0FEHAHcUVgn1daHvaem43tKdeN/pxqBv2POVEppakS8DTwWEW2BBGwErk8p/Wdxp1Mp2sl7CmADcENK6aYijqYS5X+nGoefys5YRAyh+o2+EugOfAJYWTgPuVRnEdEOCOAnKaVzij2PSl/hPTUQGAIse/ewtmrPMGcqIr4FjKL6qMaDVL/Z5wIfB+5PKU0u4ngqQRGxs0uvngQ8DJBSGtO0E6nURcRTKaUhhZ+/BFwE/F+qdyJ+n1K6oZjzlSrDnKmIWAYMAPYD/gcoSym9GRH7A0+mlPoVdUCVnIhYBKwAfk71kZig+vfLZwGklOYWbzqVoohYnFIaWPh5PvDJlNL6wmHtJ1JKfYs7YWnyw1/5qkopbUspvQ38NaX0JkBK6R/AO8UdTSVqMLAQuAJ4I6U0B/hHSmmuUVYdtYiIjhHRieodvfUAKaWNQNWu76oP44e/8rUlItoUwnzcuwsLX0MwzKq1lNI7wH9ExJ2FP1/G/waofjpQ/T97AaSI+F8ppf/Z7jMMqgMPZWcqIvZLKW3eyfKDga4ppWVFGEvNSEScCpyQUvq3Ys+i5iUi2gCHpJT+VuxZSpFhliQpI/6OWZKkjBhmSZIyYpglScqIYZaaiajmv9NSifNfYqmERUR5RKyMiJ8Ai4CrImJ+RCyNiG8XtmkbEfdFxNMRsTwixheWHxcRcyNiYUTcHxFdC8vPLzzG0xFxd+ETtkTEtIgYu91zb2j6Vyw1f4ZZKn3HAL+k+lq43ag+fesA4LiIOBE4BXgppdQ/pXQs8MeIaAX8CBibUjoO+AXw7mlef5tSOj6l1J/q87R/sWlfjrR38+QCUul7PqX0RERMofocxYsLy9sBPYB5wJSI+A5wb0ppXkQcCxwLPBgRAPsAawv3OzYirgMOLDzG/U33UiQZZqn0bSz8GVRfbu+n798gIo4DPglcHxEPAL8D/pJSGrqTx5sGnJFSejoizgOGFZZXUTjKFtU137cBX4OkAg9lS83H/cAXCqdDJCK6RUSXiDgUeDul9GtgCjAIeAboHBFDC9u2iog+hcdpD6wtHO7+7HaPv4b3Tg97OtCqsV+QtDdyj1lqJlJKD0REL+DPhcPTG4DPAf8b+G5EvANsBb6cUtpS+CDXDwvnX28JfB/4C3AV8CTwPLCM6lAD3AzcExFPAQ/x3p66pAbkKTklScqIh7IlScqIYZYkKSOGWZKkjBhmSZIyYpglScqIYZYkKSOGWZKkjBhmSZIy8v8B2DlXEN0Vtb8AAAAASUVORK5CYII=
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<h1 id="Partie-Apprentissage">Partie Apprentissage<a class="anchor-link" href="#Partie-Apprentissage">&#182;</a></h1>
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<p>Pour commencer la partie apprentissage nous commençons par définir les variables explicatives et la variable à expliquer.\
En ce qui nous concerne la variable à expliquer est le prix en fonction des variables marques, réseau, RAM, écran, mémoire.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">X</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">df1</span><span class="p">[[</span><span class="s2">&quot;Marque&quot;</span><span class="p">,</span><span class="s2">&quot;reseau&quot;</span><span class="p">,</span><span class="s2">&quot;Ram&quot;</span><span class="p">,</span><span class="s2">&quot;écran&quot;</span><span class="p">,</span><span class="s2">&quot;Mémoire&quot;</span><span class="p">]],</span> <span class="n">df1</span><span class="p">[</span><span class="s2">&quot;prix&quot;</span><span class="p">]</span>
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<p>Nous vérifions que nous avons bien le même nombre de lignes dans les matrices associé aux variables explicatives et à la variable à expliquer.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">X</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">y</span><span class="o">.</span><span class="n">shape</span>
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<pre>((977, 5), (977,))</pre>
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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="kn">import</span> <span class="n">train_test_split</span>
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<li>Séparation de la base de données en données d'entrainement et données d'apprentissage</li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">X_train</span><span class="p">,</span> <span class="n">X_test</span><span class="p">,</span> <span class="n">y_train</span><span class="p">,</span> <span class="n">y_test</span> <span class="o">=</span> <span class="n">train_test_split</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">quali</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;Marque&quot;</span><span class="p">,</span><span class="s2">&quot;reseau&quot;</span><span class="p">,</span><span class="s2">&quot;Ram&quot;</span><span class="p">,</span><span class="s2">&quot;écran&quot;</span><span class="p">,</span><span class="s2">&quot;Mémoire&quot;</span><span class="p">]</span> 

<span class="n">qualitrans</span><span class="o">=</span><span class="n">Pipeline</span><span class="p">(</span><span class="n">steps</span><span class="o">=</span><span class="p">[(</span><span class="s1">&#39;imputer&#39;</span><span class="p">,</span><span class="n">OneHotEncoder</span><span class="p">(</span><span class="n">handle_unknown</span><span class="o">=</span><span class="s2">&quot;ignore&quot;</span><span class="p">))])</span>

<span class="n">transformer</span> <span class="o">=</span> <span class="n">ColumnTransformer</span><span class="p">(</span><span class="n">transformers</span><span class="o">=</span><span class="p">[(</span><span class="s1">&#39;cat&#39;</span><span class="p">,</span><span class="n">qualitrans</span><span class="p">,</span><span class="n">quali</span><span class="p">)])</span>
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<li>Grâce à cette fonction nous allons pouvoir modéliser  plusieurs modèles avec différents paramètres.</li>
<li>Les modèles qui sont modélisés sont les suivants:<em>LinearRegression, Lasso, Ridge, ElasticNet, KNeighborsRegressor, SVR, RandomForestRegressor, MLPRegressor</em>.</li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">modeles</span> <span class="o">=</span> <span class="p">[]</span>
<span class="n">modeles</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">LinearRegression</span><span class="p">())</span>

<span class="k">for</span> <span class="n">val_alpha</span> <span class="ow">in</span> <span class="p">(</span><span class="mf">1e-3</span><span class="p">,</span> <span class="mf">1e-2</span><span class="p">,</span> <span class="mf">1e-1</span><span class="p">,</span> <span class="mi">1</span><span class="p">):</span>
    <span class="n">modeles</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">Lasso</span><span class="p">(</span><span class="n">alpha</span><span class="o">=</span><span class="n">val_alpha</span><span class="p">))</span>
    
<span class="k">for</span> <span class="n">val_alpha</span> <span class="ow">in</span> <span class="p">(</span><span class="mf">1e-3</span><span class="p">,</span> <span class="mf">1e-2</span><span class="p">,</span> <span class="mf">1e-1</span><span class="p">,</span> <span class="mi">1</span><span class="p">):</span>
    <span class="n">modeles</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">Ridge</span><span class="p">(</span><span class="n">alpha</span><span class="o">=</span><span class="n">val_alpha</span><span class="p">))</span>

<span class="k">for</span> <span class="n">val_alpha</span> <span class="ow">in</span> <span class="p">(</span><span class="mf">1e-3</span><span class="p">,</span> <span class="mf">1e-2</span><span class="p">,</span> <span class="mf">1e-1</span><span class="p">,</span> <span class="mi">1</span><span class="p">):</span>
    <span class="k">for</span> <span class="n">val_l1</span> <span class="ow">in</span> <span class="p">(</span><span class="mf">0.25</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mf">0.75</span><span class="p">):</span>
        <span class="n">modeles</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">ElasticNet</span><span class="p">(</span><span class="n">alpha</span><span class="o">=</span><span class="n">val_alpha</span><span class="p">,</span> <span class="n">l1_ratio</span><span class="o">=</span><span class="n">val_l1</span><span class="p">))</span>
    
<span class="k">for</span> <span class="n">nb_voisins</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">10</span><span class="p">):</span>
    <span class="n">modeles</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">KNeighborsRegressor</span><span class="p">(</span><span class="n">n_neighbors</span><span class="o">=</span><span class="n">nb_voisins</span><span class="p">))</span>


<span class="k">for</span> <span class="n">val_epsilon</span> <span class="ow">in</span> <span class="p">(</span><span class="mi">10</span> <span class="o">**</span> <span class="n">n</span> <span class="k">for</span> <span class="n">n</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="o">-</span><span class="mi">3</span><span class="p">,</span> <span class="mi">1</span><span class="p">)):</span>
    <span class="k">for</span> <span class="n">val_C</span> <span class="ow">in</span> <span class="p">(</span><span class="mi">10</span> <span class="o">**</span> <span class="n">n</span> <span class="k">for</span> <span class="n">n</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="o">-</span><span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">)):</span>
        <span class="n">modeles</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">SVR</span><span class="p">(</span><span class="n">epsilon</span><span class="o">=</span><span class="n">val_epsilon</span><span class="p">,</span> <span class="n">C</span><span class="o">=</span><span class="n">val_C</span><span class="p">))</span>


<span class="k">for</span> <span class="n">nb_estimateurs</span> <span class="ow">in</span> <span class="p">(</span><span class="mi">50</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">150</span><span class="p">,</span> <span class="mi">200</span><span class="p">):</span>
    <span class="n">modeles</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">RandomForestRegressor</span><span class="p">(</span><span class="n">n_estimators</span><span class="o">=</span><span class="n">nb_estimateurs</span><span class="p">))</span>
    
<span class="k">for</span> <span class="n">nb_neurones</span> <span class="ow">in</span>  <span class="p">((</span><span class="mi">100</span><span class="p">,),</span> <span class="p">(</span><span class="mi">50</span><span class="p">,</span> <span class="mi">50</span><span class="p">),</span> <span class="p">(</span><span class="mi">25</span><span class="p">,</span> <span class="mi">50</span><span class="p">,</span> <span class="mi">25</span><span class="p">)):</span>
    <span class="n">modeles</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">MLPRegressor</span><span class="p">(</span><span class="n">hidden_layer_sizes</span><span class="o">=</span><span class="n">nb_neurones</span><span class="p">))</span>
    
<span class="n">i</span><span class="o">=</span><span class="mi">0</span>
<span class="n">Classificateur</span><span class="o">=</span><span class="p">[]</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">modeles</span><span class="p">)):</span>
    <span class="n">liste</span><span class="o">=</span> <span class="n">Pipeline</span><span class="p">(</span><span class="n">steps</span><span class="o">=</span><span class="p">[(</span><span class="s2">&quot;processor&quot;</span><span class="p">,</span><span class="n">transformer</span><span class="p">),</span>
                        <span class="p">(</span><span class="s2">&quot;classi&quot;</span><span class="p">,</span><span class="n">modeles</span><span class="p">[</span><span class="n">i</span><span class="p">])])</span>
    <span class="n">Classificateur</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">liste</span><span class="p">)</span> 
    <span class="n">i</span><span class="o">=</span><span class="n">i</span><span class="o">+</span><span class="mi">1</span>
    
<span class="n">i</span><span class="o">=</span><span class="mi">0</span>
<span class="n">resultats</span><span class="o">=</span><span class="p">[]</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">Classificateur</span><span class="p">)):</span>
    <span class="n">cr</span><span class="o">=</span><span class="n">cross_val_score</span><span class="p">(</span><span class="n">Classificateur</span><span class="p">[</span><span class="n">i</span><span class="p">],</span><span class="n">X_train</span><span class="p">,</span><span class="n">y_train</span><span class="p">,</span><span class="n">cv</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
    <span class="n">resultats</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">cr</span><span class="p">)</span>
    <span class="n">i</span><span class="o">=</span><span class="n">i</span><span class="o">+</span><span class="mi">1</span>
</pre></div>

    </div>
</div>
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<pre>C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1858602.4993796684, tolerance: 6767.307471662021
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1948954.9703600053, tolerance: 6772.872292048161
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1509948.71864085, tolerance: 7108.9050141169355
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 2043054.927793432, tolerance: 7116.687170477754
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1585327.2739005527, tolerance: 7392.553895035389
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 2194330.353223826, tolerance: 7276.594141967224
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1748795.3194734687, tolerance: 7184.292997664735
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1513494.8524612961, tolerance: 7205.1361814040965
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1967315.8385087969, tolerance: 7080.577867678696
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 2272763.4586276365, tolerance: 7256.084707702792
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 69926.2857366763, tolerance: 6767.307471662021
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 82175.59296747111, tolerance: 6772.872292048161
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 63324.455928333104, tolerance: 7108.9050141169355
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 93582.7753014192, tolerance: 7116.687170477754
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 68789.96738585085, tolerance: 7392.553895035389
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 80866.27344766445, tolerance: 7184.292997664735
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 76499.62041322328, tolerance: 7205.1361814040965
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 74568.51680404693, tolerance: 7080.577867678696
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 178930.90097540803, tolerance: 7256.084707702792
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 212496.7250605654, tolerance: 6767.307471662021
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 105983.81384647265, tolerance: 6772.872292048161
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 133829.99757066742, tolerance: 7108.9050141169355
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 201974.51321439445, tolerance: 7116.687170477754
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 190036.76603031158, tolerance: 7392.553895035389
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 123395.61714218184, tolerance: 7276.594141967224
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 164370.48509822972, tolerance: 7184.292997664735
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 252540.88571946882, tolerance: 7205.1361814040965
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 234424.1334314607, tolerance: 7080.577867678696
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 499822.73349139653, tolerance: 7256.084707702792
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3996819.9923812756, tolerance: 6767.307471662021
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3716349.04811756, tolerance: 6772.872292048161
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3900057.971116151, tolerance: 7108.9050141169355
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4395180.008292127, tolerance: 7116.687170477754
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4004830.7958339285, tolerance: 7392.553895035389
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3423916.5385573497, tolerance: 7276.594141967224
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3956778.2662176713, tolerance: 7184.292997664735
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4262094.540383992, tolerance: 7205.1361814040965
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4289581.2405093135, tolerance: 7080.577867678696
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4508074.235980541, tolerance: 7256.084707702792
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
</pre>
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<ul>
<li>Performance des modèles sur les données d'entrainement suite à une cross-validation.</li>
</ul>

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<div class="prompt input_prompt">In&nbsp;[41]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Dico</span><span class="o">=</span><span class="p">{}</span>
<span class="n">i</span><span class="o">=</span><span class="mi">0</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">resultats</span><span class="p">)):</span>
    <span class="n">Dico</span><span class="p">[</span><span class="n">modeles</span><span class="p">[</span><span class="n">i</span><span class="p">]]</span><span class="o">=</span><span class="p">[</span><span class="n">resultats</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">(),</span><span class="n">resultats</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">std</span><span class="p">()]</span>
    <span class="n">i</span><span class="o">=</span><span class="n">i</span><span class="o">+</span><span class="mi">1</span>
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<div class="prompt input_prompt">In&nbsp;[42]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">value</span> <span class="ow">in</span> <span class="p">(</span><span class="nb">sorted</span><span class="p">(</span><span class="n">Dico</span><span class="o">.</span><span class="n">items</span><span class="p">(),</span> <span class="n">key</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span><span class="n">reverse</span><span class="o">=</span><span class="kc">True</span><span class="p">))</span> <span class="p">:</span>
    <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="nb">repr</span><span class="p">(</span><span class="n">key</span><span class="p">)</span><span class="si">:</span><span class="s1">50</span><span class="si">}</span><span class="s1"> : </span><span class="si">{</span><span class="n">value</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
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<pre>RandomForestRegressor(n_estimators=200)            : [0.8500670896710559, 0.0452415438631804]
RandomForestRegressor(n_estimators=50)             : [0.8459837252851836, 0.0425471041385668]
RandomForestRegressor(n_estimators=150)            : [0.8447658919372051, 0.04981255906222098]
RandomForestRegressor()                            : [0.8445608626103738, 0.04700879066574336]
SVR(C=1000, epsilon=1)                             : [0.8098230198250691, 0.07335370999561991]
SVR(C=1000)                                        : [0.8095997135884161, 0.07344033867810665]
SVR(C=1000, epsilon=0.01)                          : [0.8095796211923375, 0.07345039282427256]
SVR(C=1000, epsilon=0.001)                         : [0.8095776309920767, 0.07345137517969176]
MLPRegressor(hidden_layer_sizes=(25, 50, 25))      : [0.7880671546626665, 0.06643525081167745]
KNeighborsRegressor(n_neighbors=4)                 : [0.7842880696893514, 0.05980865008094562]
ElasticNet(alpha=0.001, l1_ratio=0.75)             : [0.7702063318411752, 0.0636469239994682]
ElasticNet(alpha=0.001)                            : [0.7698429991044152, 0.06275959493907071]
Lasso(alpha=0.1)                                   : [0.7698412062902722, 0.06869858426347178]
Ridge(alpha=0.1)                                   : [0.7691111185490316, 0.06462507252305312]
KNeighborsRegressor(n_neighbors=7)                 : [0.7683026191659096, 0.07402266643600348]
ElasticNet(alpha=0.001, l1_ratio=0.25)             : [0.7677688774982762, 0.062388596575485004]
Lasso(alpha=0.01)                                  : [0.767522895219372, 0.06756790678095531]
KNeighborsRegressor(n_neighbors=6)                 : [0.7671818537071479, 0.0690334039167989]
Ridge(alpha=0.01)                                  : [0.7661004514614943, 0.06642412961329465]
LinearRegression()                                 : [0.7657426570448935, 0.06694350285629931]
Ridge(alpha=0.001)                                 : [0.7655698753785873, 0.06676112138715604]
Lasso(alpha=0.001)                                 : [0.7651284465200551, 0.06603228815959183]
KNeighborsRegressor()                              : [0.7636269476248141, 0.06695161885488107]
KNeighborsRegressor(n_neighbors=8)                 : [0.763155832677435, 0.07793604646104177]
Ridge(alpha=1)                                     : [0.7588592883490233, 0.06169738933320693]
KNeighborsRegressor(n_neighbors=9)                 : [0.758750668803495, 0.08357634932684442]
ElasticNet(alpha=0.01, l1_ratio=0.75)              : [0.7478867150412051, 0.060729492495686335]
KNeighborsRegressor(n_neighbors=3)                 : [0.7474435584855071, 0.06864788697767678]
MLPRegressor(hidden_layer_sizes=(50, 50))          : [0.73706482468824, 0.05882102735694653]
Lasso(alpha=1)                                     : [0.7340164644619082, 0.060741042801707626]
ElasticNet(alpha=0.01)                             : [0.7287063858786114, 0.059124176651952895]
ElasticNet(alpha=0.01, l1_ratio=0.25)              : [0.7159576895084248, 0.05826421897785568]
SVR(C=100, epsilon=1)                              : [0.695473566875257, 0.10161151403774481]
SVR(C=100)                                         : [0.6953442974371866, 0.1017880481651834]
SVR(C=100, epsilon=0.01)                           : [0.6953336521047896, 0.10181214582099625]
SVR(C=100, epsilon=0.001)                          : [0.6953324961986436, 0.10181461403612185]
ElasticNet(alpha=0.1, l1_ratio=0.75)               : [0.6630105553011121, 0.05942113080609634]
ElasticNet(alpha=0.1)                              : [0.6161218792365035, 0.061516868709634125]
ElasticNet(alpha=0.1, l1_ratio=0.25)               : [0.580505321422616, 0.06161192520668646]
ElasticNet(alpha=1, l1_ratio=0.75)                 : [0.42373936097910914, 0.05597026354933814]
ElasticNet(alpha=1)                                : [0.32128102448027007, 0.04685775993289569]
SVR(C=10, epsilon=1)                               : [0.2901406494417049, 0.0822939287545958]
SVR(C=10)                                          : [0.290014799651673, 0.08233369251084098]
SVR(C=10, epsilon=0.01)                            : [0.29001463506434344, 0.08233397622092271]
SVR(C=10, epsilon=0.001)                           : [0.2900145370556694, 0.08233410130008821]
ElasticNet(alpha=1, l1_ratio=0.25)                 : [0.26037999933823075, 0.04012567108874257]
MLPRegressor()                                     : [0.1908685637289355, 0.059739153956505385]
SVR(C=1, epsilon=0.001)                            : [-0.06895972375212187, 0.06804987049732593]
SVR(C=1, epsilon=0.01)                             : [-0.0689672466627875, 0.06804994946110285]
SVR(C=1)                                           : [-0.06905284784031904, 0.0680620869930629]
SVR(C=1, epsilon=1)                                : [-0.06941555101937173, 0.06819889112851797]
SVR(C=0.1)                                         : [-0.13321677654780975, 0.07529650064894326]
SVR(C=0.1, epsilon=0.01)                           : [-0.13323051784243803, 0.07535330871458967]
SVR(C=0.1, epsilon=0.001)                          : [-0.13323146768701105, 0.07535751627066044]
SVR(C=0.1, epsilon=1)                              : [-0.13348751915409646, 0.0751763786681212]
SVR(C=0.01, epsilon=1)                             : [-0.13965112664052926, 0.07587679947450317]
SVR(C=0.01, epsilon=0.001)                         : [-0.1396785483240938, 0.07659882899870603]
SVR(C=0.01, epsilon=0.01)                          : [-0.13968015837997966, 0.07659730792898009]
SVR(C=0.01)                                        : [-0.1396848956008851, 0.07655911278723776]
SVR(C=0.001, epsilon=1)                            : [-0.14024969239578106, 0.07598076725192401]
SVR(C=0.001, epsilon=0.001)                        : [-0.14027052355811656, 0.07668965903353325]
SVR(C=0.001, epsilon=0.01)                         : [-0.14027213390387971, 0.07668814061742786]
SVR(C=0.001)                                       : [-0.1402817053415087, 0.07663298789779514]
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<div class="prompt input_prompt">In&nbsp;[43]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">modfit</span><span class="o">=</span><span class="p">[]</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">Classificateur</span><span class="p">)):</span>
    <span class="n">L</span> <span class="o">=</span> <span class="n">Classificateur</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span> <span class="n">y_train</span><span class="p">)</span>
    <span class="n">modfit</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">L</span><span class="p">)</span>
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<pre>C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 2163020.204727728, tolerance: 7907.571891470534
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 84049.36738547683, tolerance: 7907.571891470534
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 210658.7577155307, tolerance: 7907.571891470534
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\linear_model\_coordinate_descent.py:512: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4539450.678364381, tolerance: 7907.571891470534
  model = cd_fast.sparse_enet_coordinate_descent(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
C:\Users\caleb\Anaconda3\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn&#39;t converged yet.
  warnings.warn(
</pre>
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<ul>
<li>Performance des modèles sur les données de test suite à une cross-validation.</li>
</ul>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Dicoscoretest</span><span class="o">=</span><span class="p">{}</span>
<span class="n">i</span><span class="o">=</span><span class="mi">0</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">modeles</span><span class="p">)):</span>
    <span class="n">Dicoscoretest</span><span class="p">[</span><span class="n">modeles</span><span class="p">[</span><span class="n">i</span><span class="p">]]</span><span class="o">=</span><span class="p">[</span><span class="n">modfit</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">score</span><span class="p">(</span><span class="n">X_test</span><span class="p">,</span> <span class="n">y_test</span><span class="p">)]</span>
    <span class="n">i</span><span class="o">=</span><span class="n">i</span><span class="o">+</span><span class="mi">1</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">value</span> <span class="ow">in</span> <span class="p">(</span><span class="nb">sorted</span><span class="p">(</span><span class="n">Dicoscoretest</span><span class="o">.</span><span class="n">items</span><span class="p">(),</span> <span class="n">key</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span><span class="n">reverse</span><span class="o">=</span><span class="kc">True</span><span class="p">))</span> <span class="p">:</span>
    <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="nb">repr</span><span class="p">(</span><span class="n">key</span><span class="p">)</span><span class="si">:</span><span class="s1">50</span><span class="si">}</span><span class="s1"> : </span><span class="si">{</span><span class="n">value</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
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<pre>RandomForestRegressor(n_estimators=200)            : [0.8241934501947241]
RandomForestRegressor(n_estimators=50)             : [0.8230916624617003]
RandomForestRegressor(n_estimators=150)            : [0.8226891585261457]
RandomForestRegressor()                            : [0.8225567096535018]
MLPRegressor(hidden_layer_sizes=(25, 50, 25))      : [0.8199349473220139]
SVR(C=1000, epsilon=1)                             : [0.8061313813667815]
SVR(C=1000)                                        : [0.8060535127113734]
SVR(C=1000, epsilon=0.01)                          : [0.8060404785478497]
SVR(C=1000, epsilon=0.001)                         : [0.8060391439345816]
KNeighborsRegressor(n_neighbors=9)                 : [0.7997880650492766]
KNeighborsRegressor(n_neighbors=8)                 : [0.7977441366148311]
KNeighborsRegressor(n_neighbors=6)                 : [0.7890954586828117]
KNeighborsRegressor(n_neighbors=7)                 : [0.7835892341103244]
KNeighborsRegressor()                              : [0.7824742624418706]
SVR(C=100, epsilon=1)                              : [0.7798069749108093]
SVR(C=100)                                         : [0.7795511266850292]
SVR(C=100, epsilon=0.01)                           : [0.7795199543309009]
SVR(C=100, epsilon=0.001)                          : [0.7795167615145757]
MLPRegressor(hidden_layer_sizes=(50, 50))          : [0.7758662735787456]
KNeighborsRegressor(n_neighbors=4)                 : [0.7553108015022969]
Lasso(alpha=0.01)                                  : [0.7468772179063484]
LinearRegression()                                 : [0.7468680817479408]
ElasticNet(alpha=0.001, l1_ratio=0.75)             : [0.7464079915366889]
Ridge(alpha=0.01)                                  : [0.7463450932926271]
Ridge(alpha=0.1)                                   : [0.7462453911340905]
Ridge(alpha=0.001)                                 : [0.7460690213617304]
Lasso(alpha=0.001)                                 : [0.7459852488514643]
ElasticNet(alpha=0.001)                            : [0.745786676012393]
ElasticNet(alpha=0.001, l1_ratio=0.25)             : [0.7450137827610144]
Ridge(alpha=1)                                     : [0.7424028894442701]
Lasso(alpha=0.1)                                   : [0.7417129320910988]
ElasticNet(alpha=0.01, l1_ratio=0.75)              : [0.7374514304010316]
KNeighborsRegressor(n_neighbors=3)                 : [0.7343349939837853]
ElasticNet(alpha=0.01)                             : [0.7280178121118541]
ElasticNet(alpha=0.01, l1_ratio=0.25)              : [0.7201684283338825]
Lasso(alpha=1)                                     : [0.7081107205870469]
ElasticNet(alpha=0.1, l1_ratio=0.75)               : [0.6797373086550054]
ElasticNet(alpha=0.1)                              : [0.640329807886225]
ElasticNet(alpha=0.1, l1_ratio=0.25)               : [0.6084014280888481]
ElasticNet(alpha=1, l1_ratio=0.75)                 : [0.45390505225860756]
SVR(C=10, epsilon=0.001)                           : [0.40044649646477726]
SVR(C=10, epsilon=0.01)                            : [0.4004394419302848]
SVR(C=10)                                          : [0.40036797658152656]
SVR(C=10, epsilon=1)                               : [0.400053671580084]
ElasticNet(alpha=1)                                : [0.347710388577246]
ElasticNet(alpha=1, l1_ratio=0.25)                 : [0.28345319563502747]
MLPRegressor()                                     : [0.26164906361977336]
SVR(C=1)                                           : [-0.009079485324649195]
SVR(C=1, epsilon=0.01)                             : [-0.009087247140311838]
SVR(C=1, epsilon=0.001)                            : [-0.009088023496207409]
SVR(C=1, epsilon=1)                                : [-0.00965578734455641]
SVR(C=0.1, epsilon=1)                              : [-0.08578905232147926]
SVR(C=0.1, epsilon=0.001)                          : [-0.08583309877427703]
SVR(C=0.1, epsilon=0.01)                           : [-0.08583309877427703]
SVR(C=0.1)                                         : [-0.08583309877427703]
SVR(C=0.01, epsilon=1)                             : [-0.0927329407541233]
SVR(C=0.01, epsilon=0.001)                         : [-0.0930006957785301]
SVR(C=0.01, epsilon=0.01)                          : [-0.0930006957785301]
SVR(C=0.01)                                        : [-0.0930006957785301]
SVR(C=0.001, epsilon=1)                            : [-0.09323254078863497]
SVR(C=0.001, epsilon=0.001)                        : [-0.09372002390543743]
SVR(C=0.001, epsilon=0.01)                         : [-0.09372002390543743]
SVR(C=0.001)                                       : [-0.09372002390543743]
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<li>Àprès avoir testé et ordonné tous les modèles sur les données d'entrainement et les données de test du meilleur au plus mauvais, nous constatons que les modèles sont les Random Forest. Et plus précisement celle avec un n_estimators de défaut c'est à 200(dans mon cas). </li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">machine</span>
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<li>Nous utilisons le modfit[57] car elle correspond au modèle random forest avec un n_estimators par défaut.</li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">machine</span><span class="o">.</span><span class="n">prediction</span><span class="p">(</span><span class="n">df1</span><span class="p">,</span><span class="n">modfit</span><span class="p">[</span><span class="mi">57</span><span class="p">],</span><span class="mi">1</span><span class="p">)</span>
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<p>La fonction prediction provenant de machine.py fait une estimation du prix par rapports aux différentes variables explicatives.Elle estime le meilleur prix possible en fonction des données.</p>
<p>Ici les données proviennent de la base de données déjà existante que nous avons mais nous aurions bien évidemment pu modifier la fonction pour que nous-mêmes entrons les valeurs des variables explicatives et non pas qu'elles proviennent de la base de données déjà existante ou fictive.Et faire bien plus encore</p>

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<p>Nous avons laissé certaine fonction comme celle du scrraping et celle sur les modèles(cross-validation) pour montrer la complexité.</p>

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<h1 id="fin">fin<a class="anchor-link" href="#fin">&#182;</a></h1>
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