boston_housing.html

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}
.glyphicon-triangle-top:before {
  content: "\e253";
}
.glyphicon-console:before {
  content: "\e254";
}
.glyphicon-superscript:before {
  content: "\e255";
}
.glyphicon-subscript:before {
  content: "\e256";
}
.glyphicon-menu-left:before {
  content: "\e257";
}
.glyphicon-menu-right:before {
  content: "\e258";
}
.glyphicon-menu-down:before {
  content: "\e259";
}
.glyphicon-menu-up:before {
  content: "\e260";
}
* {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
*:before,
*:after {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
html {
  font-size: 10px;
  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);
}
body {
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-size: 13px;
  line-height: 1.42857143;
  color: #000;
  background-color: #fff;
}
input,
button,
select,
textarea {
  font-family: inherit;
  font-size: inherit;
  line-height: inherit;
}
a {
  color: #337ab7;
  text-decoration: none;
}
a:hover,
a:focus {
  color: #23527c;
  text-decoration: underline;
}
a:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
figure {
  margin: 0;
}
img {
  vertical-align: middle;
}
.img-responsive,
.thumbnail > img,
.thumbnail a > img,
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  display: block;
  max-width: 100%;
  height: auto;
}
.img-rounded {
  border-radius: 3px;
}
.img-thumbnail {
  padding: 4px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: all 0.2s ease-in-out;
  -o-transition: all 0.2s ease-in-out;
  transition: all 0.2s ease-in-out;
  display: inline-block;
  max-width: 100%;
  height: auto;
}
.img-circle {
  border-radius: 50%;
}
hr {
  margin-top: 18px;
  margin-bottom: 18px;
  border: 0;
  border-top: 1px solid #eeeeee;
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  margin: -1px;
  padding: 0;
  overflow: hidden;
  clip: rect(0, 0, 0, 0);
  border: 0;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
[role="button"] {
  cursor: pointer;
}
h1,
h2,
h3,
h4,
h5,
h6,
.h1,
.h2,
.h3,
.h4,
.h5,
.h6 {
  font-family: inherit;
  font-weight: 500;
  line-height: 1.1;
  color: inherit;
}
h1 small,
h2 small,
h3 small,
h4 small,
h5 small,
h6 small,
.h1 small,
.h2 small,
.h3 small,
.h4 small,
.h5 small,
.h6 small,
h1 .small,
h2 .small,
h3 .small,
h4 .small,
h5 .small,
h6 .small,
.h1 .small,
.h2 .small,
.h3 .small,
.h4 .small,
.h5 .small,
.h6 .small {
  font-weight: normal;
  line-height: 1;
  color: #777777;
}
h1,
.h1,
h2,
.h2,
h3,
.h3 {
  margin-top: 18px;
  margin-bottom: 9px;
}
h1 small,
.h1 small,
h2 small,
.h2 small,
h3 small,
.h3 small,
h1 .small,
.h1 .small,
h2 .small,
.h2 .small,
h3 .small,
.h3 .small {
  font-size: 65%;
}
h4,
.h4,
h5,
.h5,
h6,
.h6 {
  margin-top: 9px;
  margin-bottom: 9px;
}
h4 small,
.h4 small,
h5 small,
.h5 small,
h6 small,
.h6 small,
h4 .small,
.h4 .small,
h5 .small,
.h5 .small,
h6 .small,
.h6 .small {
  font-size: 75%;
}
h1,
.h1 {
  font-size: 33px;
}
h2,
.h2 {
  font-size: 27px;
}
h3,
.h3 {
  font-size: 23px;
}
h4,
.h4 {
  font-size: 17px;
}
h5,
.h5 {
  font-size: 13px;
}
h6,
.h6 {
  font-size: 12px;
}
p {
  margin: 0 0 9px;
}
.lead {
  margin-bottom: 18px;
  font-size: 14px;
  font-weight: 300;
  line-height: 1.4;
}
@media (min-width: 768px) {
  .lead {
    font-size: 19.5px;
  }
}
small,
.small {
  font-size: 92%;
}
mark,
.mark {
  background-color: #fcf8e3;
  padding: .2em;
}
.text-left {
  text-align: left;
}
.text-right {
  text-align: right;
}
.text-center {
  text-align: center;
}
.text-justify {
  text-align: justify;
}
.text-nowrap {
  white-space: nowrap;
}
.text-lowercase {
  text-transform: lowercase;
}
.text-uppercase {
  text-transform: uppercase;
}
.text-capitalize {
  text-transform: capitalize;
}
.text-muted {
  color: #777777;
}
.text-primary {
  color: #337ab7;
}
a.text-primary:hover,
a.text-primary:focus {
  color: #286090;
}
.text-success {
  color: #3c763d;
}
a.text-success:hover,
a.text-success:focus {
  color: #2b542c;
}
.text-info {
  color: #31708f;
}
a.text-info:hover,
a.text-info:focus {
  color: #245269;
}
.text-warning {
  color: #8a6d3b;
}
a.text-warning:hover,
a.text-warning:focus {
  color: #66512c;
}
.text-danger {
  color: #a94442;
}
a.text-danger:hover,
a.text-danger:focus {
  color: #843534;
}
.bg-primary {
  color: #fff;
  background-color: #337ab7;
}
a.bg-primary:hover,
a.bg-primary:focus {
  background-color: #286090;
}
.bg-success {
  background-color: #dff0d8;
}
a.bg-success:hover,
a.bg-success:focus {
  background-color: #c1e2b3;
}
.bg-info {
  background-color: #d9edf7;
}
a.bg-info:hover,
a.bg-info:focus {
  background-color: #afd9ee;
}
.bg-warning {
  background-color: #fcf8e3;
}
a.bg-warning:hover,
a.bg-warning:focus {
  background-color: #f7ecb5;
}
.bg-danger {
  background-color: #f2dede;
}
a.bg-danger:hover,
a.bg-danger:focus {
  background-color: #e4b9b9;
}
.page-header {
  padding-bottom: 8px;
  margin: 36px 0 18px;
  border-bottom: 1px solid #eeeeee;
}
ul,
ol {
  margin-top: 0;
  margin-bottom: 9px;
}
ul ul,
ol ul,
ul ol,
ol ol {
  margin-bottom: 0;
}
.list-unstyled {
  padding-left: 0;
  list-style: none;
}
.list-inline {
  padding-left: 0;
  list-style: none;
  margin-left: -5px;
}
.list-inline > li {
  display: inline-block;
  padding-left: 5px;
  padding-right: 5px;
}
dl {
  margin-top: 0;
  margin-bottom: 18px;
}
dt,
dd {
  line-height: 1.42857143;
}
dt {
  font-weight: bold;
}
dd {
  margin-left: 0;
}
@media (min-width: 541px) {
  .dl-horizontal dt {
    float: left;
    width: 160px;
    clear: left;
    text-align: right;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
  }
  .dl-horizontal dd {
    margin-left: 180px;
  }
}
abbr[title],
abbr[data-original-title] {
  cursor: help;
  border-bottom: 1px dotted #777777;
}
.initialism {
  font-size: 90%;
  text-transform: uppercase;
}
blockquote {
  padding: 9px 18px;
  margin: 0 0 18px;
  font-size: inherit;
  border-left: 5px solid #eeeeee;
}
blockquote p:last-child,
blockquote ul:last-child,
blockquote ol:last-child {
  margin-bottom: 0;
}
blockquote footer,
blockquote small,
blockquote .small {
  display: block;
  font-size: 80%;
  line-height: 1.42857143;
  color: #777777;
}
blockquote footer:before,
blockquote small:before,
blockquote .small:before {
  content: '\2014 \00A0';
}
.blockquote-reverse,
blockquote.pull-right {
  padding-right: 15px;
  padding-left: 0;
  border-right: 5px solid #eeeeee;
  border-left: 0;
  text-align: right;
}
.blockquote-reverse footer:before,
blockquote.pull-right footer:before,
.blockquote-reverse small:before,
blockquote.pull-right small:before,
.blockquote-reverse .small:before,
blockquote.pull-right .small:before {
  content: '';
}
.blockquote-reverse footer:after,
blockquote.pull-right footer:after,
.blockquote-reverse small:after,
blockquote.pull-right small:after,
.blockquote-reverse .small:after,
blockquote.pull-right .small:after {
  content: '\00A0 \2014';
}
address {
  margin-bottom: 18px;
  font-style: normal;
  line-height: 1.42857143;
}
code,
kbd,
pre,
samp {
  font-family: monospace;
}
code {
  padding: 2px 4px;
  font-size: 90%;
  color: #c7254e;
  background-color: #f9f2f4;
  border-radius: 2px;
}
kbd {
  padding: 2px 4px;
  font-size: 90%;
  color: #888;
  background-color: transparent;
  border-radius: 1px;
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
}
kbd kbd {
  padding: 0;
  font-size: 100%;
  font-weight: bold;
  box-shadow: none;
}
pre {
  display: block;
  padding: 8.5px;
  margin: 0 0 9px;
  font-size: 12px;
  line-height: 1.42857143;
  word-break: break-all;
  word-wrap: break-word;
  color: #333333;
  background-color: #f5f5f5;
  border: 1px solid #ccc;
  border-radius: 2px;
}
pre code {
  padding: 0;
  font-size: inherit;
  color: inherit;
  white-space: pre-wrap;
  background-color: transparent;
  border-radius: 0;
}
.pre-scrollable {
  max-height: 340px;
  overflow-y: scroll;
}
.container {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
@media (min-width: 768px) {
  .container {
    width: 768px;
  }
}
@media (min-width: 992px) {
  .container {
    width: 940px;
  }
}
@media (min-width: 1200px) {
  .container {
    width: 1140px;
  }
}
.container-fluid {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
.row {
  margin-left: 0px;
  margin-right: 0px;
}
.col-xs-1, .col-sm-1, .col-md-1, .col-lg-1, .col-xs-2, .col-sm-2, .col-md-2, .col-lg-2, .col-xs-3, .col-sm-3, .col-md-3, .col-lg-3, .col-xs-4, .col-sm-4, .col-md-4, .col-lg-4, .col-xs-5, .col-sm-5, .col-md-5, .col-lg-5, .col-xs-6, .col-sm-6, .col-md-6, .col-lg-6, .col-xs-7, .col-sm-7, .col-md-7, .col-lg-7, .col-xs-8, .col-sm-8, .col-md-8, .col-lg-8, .col-xs-9, .col-sm-9, .col-md-9, .col-lg-9, .col-xs-10, .col-sm-10, .col-md-10, .col-lg-10, .col-xs-11, .col-sm-11, .col-md-11, .col-lg-11, .col-xs-12, .col-sm-12, .col-md-12, .col-lg-12 {
  position: relative;
  min-height: 1px;
  padding-left: 0px;
  padding-right: 0px;
}
.col-xs-1, .col-xs-2, .col-xs-3, .col-xs-4, .col-xs-5, .col-xs-6, .col-xs-7, .col-xs-8, .col-xs-9, .col-xs-10, .col-xs-11, .col-xs-12 {
  float: left;
}
.col-xs-12 {
  width: 100%;
}
.col-xs-11 {
  width: 91.66666667%;
}
.col-xs-10 {
  width: 83.33333333%;
}
.col-xs-9 {
  width: 75%;
}
.col-xs-8 {
  width: 66.66666667%;
}
.col-xs-7 {
  width: 58.33333333%;
}
.col-xs-6 {
  width: 50%;
}
.col-xs-5 {
  width: 41.66666667%;
}
.col-xs-4 {
  width: 33.33333333%;
}
.col-xs-3 {
  width: 25%;
}
.col-xs-2 {
  width: 16.66666667%;
}
.col-xs-1 {
  width: 8.33333333%;
}
.col-xs-pull-12 {
  right: 100%;
}
.col-xs-pull-11 {
  right: 91.66666667%;
}
.col-xs-pull-10 {
  right: 83.33333333%;
}
.col-xs-pull-9 {
  right: 75%;
}
.col-xs-pull-8 {
  right: 66.66666667%;
}
.col-xs-pull-7 {
  right: 58.33333333%;
}
.col-xs-pull-6 {
  right: 50%;
}
.col-xs-pull-5 {
  right: 41.66666667%;
}
.col-xs-pull-4 {
  right: 33.33333333%;
}
.col-xs-pull-3 {
  right: 25%;
}
.col-xs-pull-2 {
  right: 16.66666667%;
}
.col-xs-pull-1 {
  right: 8.33333333%;
}
.col-xs-pull-0 {
  right: auto;
}
.col-xs-push-12 {
  left: 100%;
}
.col-xs-push-11 {
  left: 91.66666667%;
}
.col-xs-push-10 {
  left: 83.33333333%;
}
.col-xs-push-9 {
  left: 75%;
}
.col-xs-push-8 {
  left: 66.66666667%;
}
.col-xs-push-7 {
  left: 58.33333333%;
}
.col-xs-push-6 {
  left: 50%;
}
.col-xs-push-5 {
  left: 41.66666667%;
}
.col-xs-push-4 {
  left: 33.33333333%;
}
.col-xs-push-3 {
  left: 25%;
}
.col-xs-push-2 {
  left: 16.66666667%;
}
.col-xs-push-1 {
  left: 8.33333333%;
}
.col-xs-push-0 {
  left: auto;
}
.col-xs-offset-12 {
  margin-left: 100%;
}
.col-xs-offset-11 {
  margin-left: 91.66666667%;
}
.col-xs-offset-10 {
  margin-left: 83.33333333%;
}
.col-xs-offset-9 {
  margin-left: 75%;
}
.col-xs-offset-8 {
  margin-left: 66.66666667%;
}
.col-xs-offset-7 {
  margin-left: 58.33333333%;
}
.col-xs-offset-6 {
  margin-left: 50%;
}
.col-xs-offset-5 {
  margin-left: 41.66666667%;
}
.col-xs-offset-4 {
  margin-left: 33.33333333%;
}
.col-xs-offset-3 {
  margin-left: 25%;
}
.col-xs-offset-2 {
  margin-left: 16.66666667%;
}
.col-xs-offset-1 {
  margin-left: 8.33333333%;
}
.col-xs-offset-0 {
  margin-left: 0%;
}
@media (min-width: 768px) {
  .col-sm-1, .col-sm-2, .col-sm-3, .col-sm-4, .col-sm-5, .col-sm-6, .col-sm-7, .col-sm-8, .col-sm-9, .col-sm-10, .col-sm-11, .col-sm-12 {
    float: left;
  }
  .col-sm-12 {
    width: 100%;
  }
  .col-sm-11 {
    width: 91.66666667%;
  }
  .col-sm-10 {
    width: 83.33333333%;
  }
  .col-sm-9 {
    width: 75%;
  }
  .col-sm-8 {
    width: 66.66666667%;
  }
  .col-sm-7 {
    width: 58.33333333%;
  }
  .col-sm-6 {
    width: 50%;
  }
  .col-sm-5 {
    width: 41.66666667%;
  }
  .col-sm-4 {
    width: 33.33333333%;
  }
  .col-sm-3 {
    width: 25%;
  }
  .col-sm-2 {
    width: 16.66666667%;
  }
  .col-sm-1 {
    width: 8.33333333%;
  }
  .col-sm-pull-12 {
    right: 100%;
  }
  .col-sm-pull-11 {
    right: 91.66666667%;
  }
  .col-sm-pull-10 {
    right: 83.33333333%;
  }
  .col-sm-pull-9 {
    right: 75%;
  }
  .col-sm-pull-8 {
    right: 66.66666667%;
  }
  .col-sm-pull-7 {
    right: 58.33333333%;
  }
  .col-sm-pull-6 {
    right: 50%;
  }
  .col-sm-pull-5 {
    right: 41.66666667%;
  }
  .col-sm-pull-4 {
    right: 33.33333333%;
  }
  .col-sm-pull-3 {
    right: 25%;
  }
  .col-sm-pull-2 {
    right: 16.66666667%;
  }
  .col-sm-pull-1 {
    right: 8.33333333%;
  }
  .col-sm-pull-0 {
    right: auto;
  }
  .col-sm-push-12 {
    left: 100%;
  }
  .col-sm-push-11 {
    left: 91.66666667%;
  }
  .col-sm-push-10 {
    left: 83.33333333%;
  }
  .col-sm-push-9 {
    left: 75%;
  }
  .col-sm-push-8 {
    left: 66.66666667%;
  }
  .col-sm-push-7 {
    left: 58.33333333%;
  }
  .col-sm-push-6 {
    left: 50%;
  }
  .col-sm-push-5 {
    left: 41.66666667%;
  }
  .col-sm-push-4 {
    left: 33.33333333%;
  }
  .col-sm-push-3 {
    left: 25%;
  }
  .col-sm-push-2 {
    left: 16.66666667%;
  }
  .col-sm-push-1 {
    left: 8.33333333%;
  }
  .col-sm-push-0 {
    left: auto;
  }
  .col-sm-offset-12 {
    margin-left: 100%;
  }
  .col-sm-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-sm-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-sm-offset-9 {
    margin-left: 75%;
  }
  .col-sm-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-sm-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-sm-offset-6 {
    margin-left: 50%;
  }
  .col-sm-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-sm-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-sm-offset-3 {
    margin-left: 25%;
  }
  .col-sm-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-sm-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-sm-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 992px) {
  .col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-11, .col-md-12 {
    float: left;
  }
  .col-md-12 {
    width: 100%;
  }
  .col-md-11 {
    width: 91.66666667%;
  }
  .col-md-10 {
    width: 83.33333333%;
  }
  .col-md-9 {
    width: 75%;
  }
  .col-md-8 {
    width: 66.66666667%;
  }
  .col-md-7 {
    width: 58.33333333%;
  }
  .col-md-6 {
    width: 50%;
  }
  .col-md-5 {
    width: 41.66666667%;
  }
  .col-md-4 {
    width: 33.33333333%;
  }
  .col-md-3 {
    width: 25%;
  }
  .col-md-2 {
    width: 16.66666667%;
  }
  .col-md-1 {
    width: 8.33333333%;
  }
  .col-md-pull-12 {
    right: 100%;
  }
  .col-md-pull-11 {
    right: 91.66666667%;
  }
  .col-md-pull-10 {
    right: 83.33333333%;
  }
  .col-md-pull-9 {
    right: 75%;
  }
  .col-md-pull-8 {
    right: 66.66666667%;
  }
  .col-md-pull-7 {
    right: 58.33333333%;
  }
  .col-md-pull-6 {
    right: 50%;
  }
  .col-md-pull-5 {
    right: 41.66666667%;
  }
  .col-md-pull-4 {
    right: 33.33333333%;
  }
  .col-md-pull-3 {
    right: 25%;
  }
  .col-md-pull-2 {
    right: 16.66666667%;
  }
  .col-md-pull-1 {
    right: 8.33333333%;
  }
  .col-md-pull-0 {
    right: auto;
  }
  .col-md-push-12 {
    left: 100%;
  }
  .col-md-push-11 {
    left: 91.66666667%;
  }
  .col-md-push-10 {
    left: 83.33333333%;
  }
  .col-md-push-9 {
    left: 75%;
  }
  .col-md-push-8 {
    left: 66.66666667%;
  }
  .col-md-push-7 {
    left: 58.33333333%;
  }
  .col-md-push-6 {
    left: 50%;
  }
  .col-md-push-5 {
    left: 41.66666667%;
  }
  .col-md-push-4 {
    left: 33.33333333%;
  }
  .col-md-push-3 {
    left: 25%;
  }
  .col-md-push-2 {
    left: 16.66666667%;
  }
  .col-md-push-1 {
    left: 8.33333333%;
  }
  .col-md-push-0 {
    left: auto;
  }
  .col-md-offset-12 {
    margin-left: 100%;
  }
  .col-md-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-md-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-md-offset-9 {
    margin-left: 75%;
  }
  .col-md-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-md-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-md-offset-6 {
    margin-left: 50%;
  }
  .col-md-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-md-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-md-offset-3 {
    margin-left: 25%;
  }
  .col-md-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-md-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-md-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 1200px) {
  .col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-11, .col-lg-12 {
    float: left;
  }
  .col-lg-12 {
    width: 100%;
  }
  .col-lg-11 {
    width: 91.66666667%;
  }
  .col-lg-10 {
    width: 83.33333333%;
  }
  .col-lg-9 {
    width: 75%;
  }
  .col-lg-8 {
    width: 66.66666667%;
  }
  .col-lg-7 {
    width: 58.33333333%;
  }
  .col-lg-6 {
    width: 50%;
  }
  .col-lg-5 {
    width: 41.66666667%;
  }
  .col-lg-4 {
    width: 33.33333333%;
  }
  .col-lg-3 {
    width: 25%;
  }
  .col-lg-2 {
    width: 16.66666667%;
  }
  .col-lg-1 {
    width: 8.33333333%;
  }
  .col-lg-pull-12 {
    right: 100%;
  }
  .col-lg-pull-11 {
    right: 91.66666667%;
  }
  .col-lg-pull-10 {
    right: 83.33333333%;
  }
  .col-lg-pull-9 {
    right: 75%;
  }
  .col-lg-pull-8 {
    right: 66.66666667%;
  }
  .col-lg-pull-7 {
    right: 58.33333333%;
  }
  .col-lg-pull-6 {
    right: 50%;
  }
  .col-lg-pull-5 {
    right: 41.66666667%;
  }
  .col-lg-pull-4 {
    right: 33.33333333%;
  }
  .col-lg-pull-3 {
    right: 25%;
  }
  .col-lg-pull-2 {
    right: 16.66666667%;
  }
  .col-lg-pull-1 {
    right: 8.33333333%;
  }
  .col-lg-pull-0 {
    right: auto;
  }
  .col-lg-push-12 {
    left: 100%;
  }
  .col-lg-push-11 {
    left: 91.66666667%;
  }
  .col-lg-push-10 {
    left: 83.33333333%;
  }
  .col-lg-push-9 {
    left: 75%;
  }
  .col-lg-push-8 {
    left: 66.66666667%;
  }
  .col-lg-push-7 {
    left: 58.33333333%;
  }
  .col-lg-push-6 {
    left: 50%;
  }
  .col-lg-push-5 {
    left: 41.66666667%;
  }
  .col-lg-push-4 {
    left: 33.33333333%;
  }
  .col-lg-push-3 {
    left: 25%;
  }
  .col-lg-push-2 {
    left: 16.66666667%;
  }
  .col-lg-push-1 {
    left: 8.33333333%;
  }
  .col-lg-push-0 {
    left: auto;
  }
  .col-lg-offset-12 {
    margin-left: 100%;
  }
  .col-lg-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-lg-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-lg-offset-9 {
    margin-left: 75%;
  }
  .col-lg-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-lg-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-lg-offset-6 {
    margin-left: 50%;
  }
  .col-lg-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-lg-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-lg-offset-3 {
    margin-left: 25%;
  }
  .col-lg-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-lg-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-lg-offset-0 {
    margin-left: 0%;
  }
}
table {
  background-color: transparent;
}
caption {
  padding-top: 8px;
  padding-bottom: 8px;
  color: #777777;
  text-align: left;
}
th {
  text-align: left;
}
.table {
  width: 100%;
  max-width: 100%;
  margin-bottom: 18px;
}
.table > thead > tr > th,
.table > tbody > tr > th,
.table > tfoot > tr > th,
.table > thead > tr > td,
.table > tbody > tr > td,
.table > tfoot > tr > td {
  padding: 8px;
  line-height: 1.42857143;
  vertical-align: top;
  border-top: 1px solid #ddd;
}
.table > thead > tr > th {
  vertical-align: bottom;
  border-bottom: 2px solid #ddd;
}
.table > caption + thead > tr:first-child > th,
.table > colgroup + thead > tr:first-child > th,
.table > thead:first-child > tr:first-child > th,
.table > caption + thead > tr:first-child > td,
.table > colgroup + thead > tr:first-child > td,
.table > thead:first-child > tr:first-child > td {
  border-top: 0;
}
.table > tbody + tbody {
  border-top: 2px solid #ddd;
}
.table .table {
  background-color: #fff;
}
.table-condensed > thead > tr > th,
.table-condensed > tbody > tr > th,
.table-condensed > tfoot > tr > th,
.table-condensed > thead > tr > td,
.table-condensed > tbody > tr > td,
.table-condensed > tfoot > tr > td {
  padding: 5px;
}
.table-bordered {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > tbody > tr > th,
.table-bordered > tfoot > tr > th,
.table-bordered > thead > tr > td,
.table-bordered > tbody > tr > td,
.table-bordered > tfoot > tr > td {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > thead > tr > td {
  border-bottom-width: 2px;
}
.table-striped > tbody > tr:nth-of-type(odd) {
  background-color: #f9f9f9;
}
.table-hover > tbody > tr:hover {
  background-color: #f5f5f5;
}
table col[class*="col-"] {
  position: static;
  float: none;
  display: table-column;
}
table td[class*="col-"],
table th[class*="col-"] {
  position: static;
  float: none;
  display: table-cell;
}
.table > thead > tr > td.active,
.table > tbody > tr > td.active,
.table > tfoot > tr > td.active,
.table > thead > tr > th.active,
.table > tbody > tr > th.active,
.table > tfoot > tr > th.active,
.table > thead > tr.active > td,
.table > tbody > tr.active > td,
.table > tfoot > tr.active > td,
.table > thead > tr.active > th,
.table > tbody > tr.active > th,
.table > tfoot > tr.active > th {
  background-color: #f5f5f5;
}
.table-hover > tbody > tr > td.active:hover,
.table-hover > tbody > tr > th.active:hover,
.table-hover > tbody > tr.active:hover > td,
.table-hover > tbody > tr:hover > .active,
.table-hover > tbody > tr.active:hover > th {
  background-color: #e8e8e8;
}
.table > thead > tr > td.success,
.table > tbody > tr > td.success,
.table > tfoot > tr > td.success,
.table > thead > tr > th.success,
.table > tbody > tr > th.success,
.table > tfoot > tr > th.success,
.table > thead > tr.success > td,
.table > tbody > tr.success > td,
.table > tfoot > tr.success > td,
.table > thead > tr.success > th,
.table > tbody > tr.success > th,
.table > tfoot > tr.success > th {
  background-color: #dff0d8;
}
.table-hover > tbody > tr > td.success:hover,
.table-hover > tbody > tr > th.success:hover,
.table-hover > tbody > tr.success:hover > td,
.table-hover > tbody > tr:hover > .success,
.table-hover > tbody > tr.success:hover > th {
  background-color: #d0e9c6;
}
.table > thead > tr > td.info,
.table > tbody > tr > td.info,
.table > tfoot > tr > td.info,
.table > thead > tr > th.info,
.table > tbody > tr > th.info,
.table > tfoot > tr > th.info,
.table > thead > tr.info > td,
.table > tbody > tr.info > td,
.table > tfoot > tr.info > td,
.table > thead > tr.info > th,
.table > tbody > tr.info > th,
.table > tfoot > tr.info > th {
  background-color: #d9edf7;
}
.table-hover > tbody > tr > td.info:hover,
.table-hover > tbody > tr > th.info:hover,
.table-hover > tbody > tr.info:hover > td,
.table-hover > tbody > tr:hover > .info,
.table-hover > tbody > tr.info:hover > th {
  background-color: #c4e3f3;
}
.table > thead > tr > td.warning,
.table > tbody > tr > td.warning,
.table > tfoot > tr > td.warning,
.table > thead > tr > th.warning,
.table > tbody > tr > th.warning,
.table > tfoot > tr > th.warning,
.table > thead > tr.warning > td,
.table > tbody > tr.warning > td,
.table > tfoot > tr.warning > td,
.table > thead > tr.warning > th,
.table > tbody > tr.warning > th,
.table > tfoot > tr.warning > th {
  background-color: #fcf8e3;
}
.table-hover > tbody > tr > td.warning:hover,
.table-hover > tbody > tr > th.warning:hover,
.table-hover > tbody > tr.warning:hover > td,
.table-hover > tbody > tr:hover > .warning,
.table-hover > tbody > tr.warning:hover > th {
  background-color: #faf2cc;
}
.table > thead > tr > td.danger,
.table > tbody > tr > td.danger,
.table > tfoot > tr > td.danger,
.table > thead > tr > th.danger,
.table > tbody > tr > th.danger,
.table > tfoot > tr > th.danger,
.table > thead > tr.danger > td,
.table > tbody > tr.danger > td,
.table > tfoot > tr.danger > td,
.table > thead > tr.danger > th,
.table > tbody > tr.danger > th,
.table > tfoot > tr.danger > th {
  background-color: #f2dede;
}
.table-hover > tbody > tr > td.danger:hover,
.table-hover > tbody > tr > th.danger:hover,
.table-hover > tbody > tr.danger:hover > td,
.table-hover > tbody > tr:hover > .danger,
.table-hover > tbody > tr.danger:hover > th {
  background-color: #ebcccc;
}
.table-responsive {
  overflow-x: auto;
  min-height: 0.01%;
}
@media screen and (max-width: 767px) {
  .table-responsive {
    width: 100%;
    margin-bottom: 13.5px;
    overflow-y: hidden;
    -ms-overflow-style: -ms-autohiding-scrollbar;
    border: 1px solid #ddd;
  }
  .table-responsive > .table {
    margin-bottom: 0;
  }
  .table-responsive > .table > thead > tr > th,
  .table-responsive > .table > tbody > tr > th,
  .table-responsive > .table > tfoot > tr > th,
  .table-responsive > .table > thead > tr > td,
  .table-responsive > .table > tbody > tr > td,
  .table-responsive > .table > tfoot > tr > td {
    white-space: nowrap;
  }
  .table-responsive > .table-bordered {
    border: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:first-child,
  .table-responsive > .table-bordered > tbody > tr > th:first-child,
  .table-responsive > .table-bordered > tfoot > tr > th:first-child,
  .table-responsive > .table-bordered > thead > tr > td:first-child,
  .table-responsive > .table-bordered > tbody > tr > td:first-child,
  .table-responsive > .table-bordered > tfoot > tr > td:first-child {
    border-left: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:last-child,
  .table-responsive > .table-bordered > tbody > tr > th:last-child,
  .table-responsive > .table-bordered > tfoot > tr > th:last-child,
  .table-responsive > .table-bordered > thead > tr > td:last-child,
  .table-responsive > .table-bordered > tbody > tr > td:last-child,
  .table-responsive > .table-bordered > tfoot > tr > td:last-child {
    border-right: 0;
  }
  .table-responsive > .table-bordered > tbody > tr:last-child > th,
  .table-responsive > .table-bordered > tfoot > tr:last-child > th,
  .table-responsive > .table-bordered > tbody > tr:last-child > td,
  .table-responsive > .table-bordered > tfoot > tr:last-child > td {
    border-bottom: 0;
  }
}
fieldset {
  padding: 0;
  margin: 0;
  border: 0;
  min-width: 0;
}
legend {
  display: block;
  width: 100%;
  padding: 0;
  margin-bottom: 18px;
  font-size: 19.5px;
  line-height: inherit;
  color: #333333;
  border: 0;
  border-bottom: 1px solid #e5e5e5;
}
label {
  display: inline-block;
  max-width: 100%;
  margin-bottom: 5px;
  font-weight: bold;
}
input[type="search"] {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
input[type="radio"],
input[type="checkbox"] {
  margin: 4px 0 0;
  margin-top: 1px \9;
  line-height: normal;
}
input[type="file"] {
  display: block;
}
input[type="range"] {
  display: block;
  width: 100%;
}
select[multiple],
select[size] {
  height: auto;
}
input[type="file"]:focus,
input[type="radio"]:focus,
input[type="checkbox"]:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
output {
  display: block;
  padding-top: 7px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
}
.form-control {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
}
.form-control:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.form-control::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.form-control:-ms-input-placeholder {
  color: #999;
}
.form-control::-webkit-input-placeholder {
  color: #999;
}
.form-control::-ms-expand {
  border: 0;
  background-color: transparent;
}
.form-control[disabled],
.form-control[readonly],
fieldset[disabled] .form-control {
  background-color: #eeeeee;
  opacity: 1;
}
.form-control[disabled],
fieldset[disabled] .form-control {
  cursor: not-allowed;
}
textarea.form-control {
  height: auto;
}
input[type="search"] {
  -webkit-appearance: none;
}
@media screen and (-webkit-min-device-pixel-ratio: 0) {
  input[type="date"].form-control,
  input[type="time"].form-control,
  input[type="datetime-local"].form-control,
  input[type="month"].form-control {
    line-height: 32px;
  }
  input[type="date"].input-sm,
  input[type="time"].input-sm,
  input[type="datetime-local"].input-sm,
  input[type="month"].input-sm,
  .input-group-sm input[type="date"],
  .input-group-sm input[type="time"],
  .input-group-sm input[type="datetime-local"],
  .input-group-sm input[type="month"] {
    line-height: 30px;
  }
  input[type="date"].input-lg,
  input[type="time"].input-lg,
  input[type="datetime-local"].input-lg,
  input[type="month"].input-lg,
  .input-group-lg input[type="date"],
  .input-group-lg input[type="time"],
  .input-group-lg input[type="datetime-local"],
  .input-group-lg input[type="month"] {
    line-height: 45px;
  }
}
.form-group {
  margin-bottom: 15px;
}
.radio,
.checkbox {
  position: relative;
  display: block;
  margin-top: 10px;
  margin-bottom: 10px;
}
.radio label,
.checkbox label {
  min-height: 18px;
  padding-left: 20px;
  margin-bottom: 0;
  font-weight: normal;
  cursor: pointer;
}
.radio input[type="radio"],
.radio-inline input[type="radio"],
.checkbox input[type="checkbox"],
.checkbox-inline input[type="checkbox"] {
  position: absolute;
  margin-left: -20px;
  margin-top: 4px \9;
}
.radio + .radio,
.checkbox + .checkbox {
  margin-top: -5px;
}
.radio-inline,
.checkbox-inline {
  position: relative;
  display: inline-block;
  padding-left: 20px;
  margin-bottom: 0;
  vertical-align: middle;
  font-weight: normal;
  cursor: pointer;
}
.radio-inline + .radio-inline,
.checkbox-inline + .checkbox-inline {
  margin-top: 0;
  margin-left: 10px;
}
input[type="radio"][disabled],
input[type="checkbox"][disabled],
input[type="radio"].disabled,
input[type="checkbox"].disabled,
fieldset[disabled] input[type="radio"],
fieldset[disabled] input[type="checkbox"] {
  cursor: not-allowed;
}
.radio-inline.disabled,
.checkbox-inline.disabled,
fieldset[disabled] .radio-inline,
fieldset[disabled] .checkbox-inline {
  cursor: not-allowed;
}
.radio.disabled label,
.checkbox.disabled label,
fieldset[disabled] .radio label,
fieldset[disabled] .checkbox label {
  cursor: not-allowed;
}
.form-control-static {
  padding-top: 7px;
  padding-bottom: 7px;
  margin-bottom: 0;
  min-height: 31px;
}
.form-control-static.input-lg,
.form-control-static.input-sm {
  padding-left: 0;
  padding-right: 0;
}
.input-sm {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-sm {
  height: 30px;
  line-height: 30px;
}
textarea.input-sm,
select[multiple].input-sm {
  height: auto;
}
.form-group-sm .form-control {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.form-group-sm select.form-control {
  height: 30px;
  line-height: 30px;
}
.form-group-sm textarea.form-control,
.form-group-sm select[multiple].form-control {
  height: auto;
}
.form-group-sm .form-control-static {
  height: 30px;
  min-height: 30px;
  padding: 6px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.input-lg {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-lg {
  height: 45px;
  line-height: 45px;
}
textarea.input-lg,
select[multiple].input-lg {
  height: auto;
}
.form-group-lg .form-control {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.form-group-lg select.form-control {
  height: 45px;
  line-height: 45px;
}
.form-group-lg textarea.form-control,
.form-group-lg select[multiple].form-control {
  height: auto;
}
.form-group-lg .form-control-static {
  height: 45px;
  min-height: 35px;
  padding: 11px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.has-feedback {
  position: relative;
}
.has-feedback .form-control {
  padding-right: 40px;
}
.form-control-feedback {
  position: absolute;
  top: 0;
  right: 0;
  z-index: 2;
  display: block;
  width: 32px;
  height: 32px;
  line-height: 32px;
  text-align: center;
  pointer-events: none;
}
.input-lg + .form-control-feedback,
.input-group-lg + .form-control-feedback,
.form-group-lg .form-control + .form-control-feedback {
  width: 45px;
  height: 45px;
  line-height: 45px;
}
.input-sm + .form-control-feedback,
.input-group-sm + .form-control-feedback,
.form-group-sm .form-control + .form-control-feedback {
  width: 30px;
  height: 30px;
  line-height: 30px;
}
.has-success .help-block,
.has-success .control-label,
.has-success .radio,
.has-success .checkbox,
.has-success .radio-inline,
.has-success .checkbox-inline,
.has-success.radio label,
.has-success.checkbox label,
.has-success.radio-inline label,
.has-success.checkbox-inline label {
  color: #3c763d;
}
.has-success .form-control {
  border-color: #3c763d;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-success .form-control:focus {
  border-color: #2b542c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
}
.has-success .input-group-addon {
  color: #3c763d;
  border-color: #3c763d;
  background-color: #dff0d8;
}
.has-success .form-control-feedback {
  color: #3c763d;
}
.has-warning .help-block,
.has-warning .control-label,
.has-warning .radio,
.has-warning .checkbox,
.has-warning .radio-inline,
.has-warning .checkbox-inline,
.has-warning.radio label,
.has-warning.checkbox label,
.has-warning.radio-inline label,
.has-warning.checkbox-inline label {
  color: #8a6d3b;
}
.has-warning .form-control {
  border-color: #8a6d3b;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-warning .form-control:focus {
  border-color: #66512c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
}
.has-warning .input-group-addon {
  color: #8a6d3b;
  border-color: #8a6d3b;
  background-color: #fcf8e3;
}
.has-warning .form-control-feedback {
  color: #8a6d3b;
}
.has-error .help-block,
.has-error .control-label,
.has-error .radio,
.has-error .checkbox,
.has-error .radio-inline,
.has-error .checkbox-inline,
.has-error.radio label,
.has-error.checkbox label,
.has-error.radio-inline label,
.has-error.checkbox-inline label {
  color: #a94442;
}
.has-error .form-control {
  border-color: #a94442;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-error .form-control:focus {
  border-color: #843534;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
}
.has-error .input-group-addon {
  color: #a94442;
  border-color: #a94442;
  background-color: #f2dede;
}
.has-error .form-control-feedback {
  color: #a94442;
}
.has-feedback label ~ .form-control-feedback {
  top: 23px;
}
.has-feedback label.sr-only ~ .form-control-feedback {
  top: 0;
}
.help-block {
  display: block;
  margin-top: 5px;
  margin-bottom: 10px;
  color: #404040;
}
@media (min-width: 768px) {
  .form-inline .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .form-inline .form-control-static {
    display: inline-block;
  }
  .form-inline .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .form-inline .input-group .input-group-addon,
  .form-inline .input-group .input-group-btn,
  .form-inline .input-group .form-control {
    width: auto;
  }
  .form-inline .input-group > .form-control {
    width: 100%;
  }
  .form-inline .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio,
  .form-inline .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio label,
  .form-inline .checkbox label {
    padding-left: 0;
  }
  .form-inline .radio input[type="radio"],
  .form-inline .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .form-inline .has-feedback .form-control-feedback {
    top: 0;
  }
}
.form-horizontal .radio,
.form-horizontal .checkbox,
.form-horizontal .radio-inline,
.form-horizontal .checkbox-inline {
  margin-top: 0;
  margin-bottom: 0;
  padding-top: 7px;
}
.form-horizontal .radio,
.form-horizontal .checkbox {
  min-height: 25px;
}
.form-horizontal .form-group {
  margin-left: 0px;
  margin-right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .control-label {
    text-align: right;
    margin-bottom: 0;
    padding-top: 7px;
  }
}
.form-horizontal .has-feedback .form-control-feedback {
  right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .form-group-lg .control-label {
    padding-top: 11px;
    font-size: 17px;
  }
}
@media (min-width: 768px) {
  .form-horizontal .form-group-sm .control-label {
    padding-top: 6px;
    font-size: 12px;
  }
}
.btn {
  display: inline-block;
  margin-bottom: 0;
  font-weight: normal;
  text-align: center;
  vertical-align: middle;
  touch-action: manipulation;
  cursor: pointer;
  background-image: none;
  border: 1px solid transparent;
  white-space: nowrap;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  border-radius: 2px;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}
.btn:focus,
.btn:active:focus,
.btn.active:focus,
.btn.focus,
.btn:active.focus,
.btn.active.focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
.btn:hover,
.btn:focus,
.btn.focus {
  color: #333;
  text-decoration: none;
}
.btn:active,
.btn.active {
  outline: 0;
  background-image: none;
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn.disabled,
.btn[disabled],
fieldset[disabled] .btn {
  cursor: not-allowed;
  opacity: 0.65;
  filter: alpha(opacity=65);
  -webkit-box-shadow: none;
  box-shadow: none;
}
a.btn.disabled,
fieldset[disabled] a.btn {
  pointer-events: none;
}
.btn-default {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.btn-default:focus,
.btn-default.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.btn-default:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active:hover,
.btn-default.active:hover,
.open > .dropdown-toggle.btn-default:hover,
.btn-default:active:focus,
.btn-default.active:focus,
.open > .dropdown-toggle.btn-default:focus,
.btn-default:active.focus,
.btn-default.active.focus,
.open > .dropdown-toggle.btn-default.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  background-image: none;
}
.btn-default.disabled:hover,
.btn-default[disabled]:hover,
fieldset[disabled] .btn-default:hover,
.btn-default.disabled:focus,
.btn-default[disabled]:focus,
fieldset[disabled] .btn-default:focus,
.btn-default.disabled.focus,
.btn-default[disabled].focus,
fieldset[disabled] .btn-default.focus {
  background-color: #fff;
  border-color: #ccc;
}
.btn-default .badge {
  color: #fff;
  background-color: #333;
}
.btn-primary {
  color: #fff;
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary:focus,
.btn-primary.focus {
  color: #fff;
  background-color: #286090;
  border-color: #122b40;
}
.btn-primary:hover {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active:hover,
.btn-primary.active:hover,
.open > .dropdown-toggle.btn-primary:hover,
.btn-primary:active:focus,
.btn-primary.active:focus,
.open > .dropdown-toggle.btn-primary:focus,
.btn-primary:active.focus,
.btn-primary.active.focus,
.open > .dropdown-toggle.btn-primary.focus {
  color: #fff;
  background-color: #204d74;
  border-color: #122b40;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  background-image: none;
}
.btn-primary.disabled:hover,
.btn-primary[disabled]:hover,
fieldset[disabled] .btn-primary:hover,
.btn-primary.disabled:focus,
.btn-primary[disabled]:focus,
fieldset[disabled] .btn-primary:focus,
.btn-primary.disabled.focus,
.btn-primary[disabled].focus,
fieldset[disabled] .btn-primary.focus {
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary .badge {
  color: #337ab7;
  background-color: #fff;
}
.btn-success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success:focus,
.btn-success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.btn-success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active:hover,
.btn-success.active:hover,
.open > .dropdown-toggle.btn-success:hover,
.btn-success:active:focus,
.btn-success.active:focus,
.open > .dropdown-toggle.btn-success:focus,
.btn-success:active.focus,
.btn-success.active.focus,
.open > .dropdown-toggle.btn-success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  background-image: none;
}
.btn-success.disabled:hover,
.btn-success[disabled]:hover,
fieldset[disabled] .btn-success:hover,
.btn-success.disabled:focus,
.btn-success[disabled]:focus,
fieldset[disabled] .btn-success:focus,
.btn-success.disabled.focus,
.btn-success[disabled].focus,
fieldset[disabled] .btn-success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.btn-info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info:focus,
.btn-info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.btn-info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active:hover,
.btn-info.active:hover,
.open > .dropdown-toggle.btn-info:hover,
.btn-info:active:focus,
.btn-info.active:focus,
.open > .dropdown-toggle.btn-info:focus,
.btn-info:active.focus,
.btn-info.active.focus,
.open > .dropdown-toggle.btn-info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  background-image: none;
}
.btn-info.disabled:hover,
.btn-info[disabled]:hover,
fieldset[disabled] .btn-info:hover,
.btn-info.disabled:focus,
.btn-info[disabled]:focus,
fieldset[disabled] .btn-info:focus,
.btn-info.disabled.focus,
.btn-info[disabled].focus,
fieldset[disabled] .btn-info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.btn-warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning:focus,
.btn-warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.btn-warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active:hover,
.btn-warning.active:hover,
.open > .dropdown-toggle.btn-warning:hover,
.btn-warning:active:focus,
.btn-warning.active:focus,
.open > .dropdown-toggle.btn-warning:focus,
.btn-warning:active.focus,
.btn-warning.active.focus,
.open > .dropdown-toggle.btn-warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  background-image: none;
}
.btn-warning.disabled:hover,
.btn-warning[disabled]:hover,
fieldset[disabled] .btn-warning:hover,
.btn-warning.disabled:focus,
.btn-warning[disabled]:focus,
fieldset[disabled] .btn-warning:focus,
.btn-warning.disabled.focus,
.btn-warning[disabled].focus,
fieldset[disabled] .btn-warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.btn-danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger:focus,
.btn-danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.btn-danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active:hover,
.btn-danger.active:hover,
.open > .dropdown-toggle.btn-danger:hover,
.btn-danger:active:focus,
.btn-danger.active:focus,
.open > .dropdown-toggle.btn-danger:focus,
.btn-danger:active.focus,
.btn-danger.active.focus,
.open > .dropdown-toggle.btn-danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  background-image: none;
}
.btn-danger.disabled:hover,
.btn-danger[disabled]:hover,
fieldset[disabled] .btn-danger:hover,
.btn-danger.disabled:focus,
.btn-danger[disabled]:focus,
fieldset[disabled] .btn-danger:focus,
.btn-danger.disabled.focus,
.btn-danger[disabled].focus,
fieldset[disabled] .btn-danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger .badge {
  color: #d9534f;
  background-color: #fff;
}
.btn-link {
  color: #337ab7;
  font-weight: normal;
  border-radius: 0;
}
.btn-link,
.btn-link:active,
.btn-link.active,
.btn-link[disabled],
fieldset[disabled] .btn-link {
  background-color: transparent;
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn-link,
.btn-link:hover,
.btn-link:focus,
.btn-link:active {
  border-color: transparent;
}
.btn-link:hover,
.btn-link:focus {
  color: #23527c;
  text-decoration: underline;
  background-color: transparent;
}
.btn-link[disabled]:hover,
fieldset[disabled] .btn-link:hover,
.btn-link[disabled]:focus,
fieldset[disabled] .btn-link:focus {
  color: #777777;
  text-decoration: none;
}
.btn-lg,
.btn-group-lg > .btn {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.btn-sm,
.btn-group-sm > .btn {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-xs,
.btn-group-xs > .btn {
  padding: 1px 5px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-block {
  display: block;
  width: 100%;
}
.btn-block + .btn-block {
  margin-top: 5px;
}
input[type="submit"].btn-block,
input[type="reset"].btn-block,
input[type="button"].btn-block {
  width: 100%;
}
.fade {
  opacity: 0;
  -webkit-transition: opacity 0.15s linear;
  -o-transition: opacity 0.15s linear;
  transition: opacity 0.15s linear;
}
.fade.in {
  opacity: 1;
}
.collapse {
  display: none;
}
.collapse.in {
  display: block;
}
tr.collapse.in {
  display: table-row;
}
tbody.collapse.in {
  display: table-row-group;
}
.collapsing {
  position: relative;
  height: 0;
  overflow: hidden;
  -webkit-transition-property: height, visibility;
  transition-property: height, visibility;
  -webkit-transition-duration: 0.35s;
  transition-duration: 0.35s;
  -webkit-transition-timing-function: ease;
  transition-timing-function: ease;
}
.caret {
  display: inline-block;
  width: 0;
  height: 0;
  margin-left: 2px;
  vertical-align: middle;
  border-top: 4px dashed;
  border-top: 4px solid \9;
  border-right: 4px solid transparent;
  border-left: 4px solid transparent;
}
.dropup,
.dropdown {
  position: relative;
}
.dropdown-toggle:focus {
  outline: 0;
}
.dropdown-menu {
  position: absolute;
  top: 100%;
  left: 0;
  z-index: 1000;
  display: none;
  float: left;
  min-width: 160px;
  padding: 5px 0;
  margin: 2px 0 0;
  list-style: none;
  font-size: 13px;
  text-align: left;
  background-color: #fff;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.15);
  border-radius: 2px;
  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  background-clip: padding-box;
}
.dropdown-menu.pull-right {
  right: 0;
  left: auto;
}
.dropdown-menu .divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.dropdown-menu > li > a {
  display: block;
  padding: 3px 20px;
  clear: both;
  font-weight: normal;
  line-height: 1.42857143;
  color: #333333;
  white-space: nowrap;
}
.dropdown-menu > li > a:hover,
.dropdown-menu > li > a:focus {
  text-decoration: none;
  color: #262626;
  background-color: #f5f5f5;
}
.dropdown-menu > .active > a,
.dropdown-menu > .active > a:hover,
.dropdown-menu > .active > a:focus {
  color: #fff;
  text-decoration: none;
  outline: 0;
  background-color: #337ab7;
}
.dropdown-menu > .disabled > a,
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  color: #777777;
}
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  text-decoration: none;
  background-color: transparent;
  background-image: none;
  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
  cursor: not-allowed;
}
.open > .dropdown-menu {
  display: block;
}
.open > a {
  outline: 0;
}
.dropdown-menu-right {
  left: auto;
  right: 0;
}
.dropdown-menu-left {
  left: 0;
  right: auto;
}
.dropdown-header {
  display: block;
  padding: 3px 20px;
  font-size: 12px;
  line-height: 1.42857143;
  color: #777777;
  white-space: nowrap;
}
.dropdown-backdrop {
  position: fixed;
  left: 0;
  right: 0;
  bottom: 0;
  top: 0;
  z-index: 990;
}
.pull-right > .dropdown-menu {
  right: 0;
  left: auto;
}
.dropup .caret,
.navbar-fixed-bottom .dropdown .caret {
  border-top: 0;
  border-bottom: 4px dashed;
  border-bottom: 4px solid \9;
  content: "";
}
.dropup .dropdown-menu,
.navbar-fixed-bottom .dropdown .dropdown-menu {
  top: auto;
  bottom: 100%;
  margin-bottom: 2px;
}
@media (min-width: 541px) {
  .navbar-right .dropdown-menu {
    left: auto;
    right: 0;
  }
  .navbar-right .dropdown-menu-left {
    left: 0;
    right: auto;
  }
}
.btn-group,
.btn-group-vertical {
  position: relative;
  display: inline-block;
  vertical-align: middle;
}
.btn-group > .btn,
.btn-group-vertical > .btn {
  position: relative;
  float: left;
}
.btn-group > .btn:hover,
.btn-group-vertical > .btn:hover,
.btn-group > .btn:focus,
.btn-group-vertical > .btn:focus,
.btn-group > .btn:active,
.btn-group-vertical > .btn:active,
.btn-group > .btn.active,
.btn-group-vertical > .btn.active {
  z-index: 2;
}
.btn-group .btn + .btn,
.btn-group .btn + .btn-group,
.btn-group .btn-group + .btn,
.btn-group .btn-group + .btn-group {
  margin-left: -1px;
}
.btn-toolbar {
  margin-left: -5px;
}
.btn-toolbar .btn,
.btn-toolbar .btn-group,
.btn-toolbar .input-group {
  float: left;
}
.btn-toolbar > .btn,
.btn-toolbar > .btn-group,
.btn-toolbar > .input-group {
  margin-left: 5px;
}
.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {
  border-radius: 0;
}
.btn-group > .btn:first-child {
  margin-left: 0;
}
.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn:last-child:not(:first-child),
.btn-group > .dropdown-toggle:not(:first-child) {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group > .btn-group {
  float: left;
}
.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group .dropdown-toggle:active,
.btn-group.open .dropdown-toggle {
  outline: 0;
}
.btn-group > .btn + .dropdown-toggle {
  padding-left: 8px;
  padding-right: 8px;
}
.btn-group > .btn-lg + .dropdown-toggle {
  padding-left: 12px;
  padding-right: 12px;
}
.btn-group.open .dropdown-toggle {
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn-group.open .dropdown-toggle.btn-link {
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn .caret {
  margin-left: 0;
}
.btn-lg .caret {
  border-width: 5px 5px 0;
  border-bottom-width: 0;
}
.dropup .btn-lg .caret {
  border-width: 0 5px 5px;
}
.btn-group-vertical > .btn,
.btn-group-vertical > .btn-group,
.btn-group-vertical > .btn-group > .btn {
  display: block;
  float: none;
  width: 100%;
  max-width: 100%;
}
.btn-group-vertical > .btn-group > .btn {
  float: none;
}
.btn-group-vertical > .btn + .btn,
.btn-group-vertical > .btn + .btn-group,
.btn-group-vertical > .btn-group + .btn,
.btn-group-vertical > .btn-group + .btn-group {
  margin-top: -1px;
  margin-left: 0;
}
.btn-group-vertical > .btn:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.btn-group-vertical > .btn:first-child:not(:last-child) {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn:last-child:not(:first-child) {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.btn-group-justified {
  display: table;
  width: 100%;
  table-layout: fixed;
  border-collapse: separate;
}
.btn-group-justified > .btn,
.btn-group-justified > .btn-group {
  float: none;
  display: table-cell;
  width: 1%;
}
.btn-group-justified > .btn-group .btn {
  width: 100%;
}
.btn-group-justified > .btn-group .dropdown-menu {
  left: auto;
}
[data-toggle="buttons"] > .btn input[type="radio"],
[data-toggle="buttons"] > .btn-group > .btn input[type="radio"],
[data-toggle="buttons"] > .btn input[type="checkbox"],
[data-toggle="buttons"] > .btn-group > .btn input[type="checkbox"] {
  position: absolute;
  clip: rect(0, 0, 0, 0);
  pointer-events: none;
}
.input-group {
  position: relative;
  display: table;
  border-collapse: separate;
}
.input-group[class*="col-"] {
  float: none;
  padding-left: 0;
  padding-right: 0;
}
.input-group .form-control {
  position: relative;
  z-index: 2;
  float: left;
  width: 100%;
  margin-bottom: 0;
}
.input-group .form-control:focus {
  z-index: 3;
}
.input-group-lg > .form-control,
.input-group-lg > .input-group-addon,
.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-group-lg > .form-control,
select.input-group-lg > .input-group-addon,
select.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  line-height: 45px;
}
textarea.input-group-lg > .form-control,
textarea.input-group-lg > .input-group-addon,
textarea.input-group-lg > .input-group-btn > .btn,
select[multiple].input-group-lg > .form-control,
select[multiple].input-group-lg > .input-group-addon,
select[multiple].input-group-lg > .input-group-btn > .btn {
  height: auto;
}
.input-group-sm > .form-control,
.input-group-sm > .input-group-addon,
.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-group-sm > .form-control,
select.input-group-sm > .input-group-addon,
select.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  line-height: 30px;
}
textarea.input-group-sm > .form-control,
textarea.input-group-sm > .input-group-addon,
textarea.input-group-sm > .input-group-btn > .btn,
select[multiple].input-group-sm > .form-control,
select[multiple].input-group-sm > .input-group-addon,
select[multiple].input-group-sm > .input-group-btn > .btn {
  height: auto;
}
.input-group-addon,
.input-group-btn,
.input-group .form-control {
  display: table-cell;
}
.input-group-addon:not(:first-child):not(:last-child),
.input-group-btn:not(:first-child):not(:last-child),
.input-group .form-control:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.input-group-addon,
.input-group-btn {
  width: 1%;
  white-space: nowrap;
  vertical-align: middle;
}
.input-group-addon {
  padding: 6px 12px;
  font-size: 13px;
  font-weight: normal;
  line-height: 1;
  color: #555555;
  text-align: center;
  background-color: #eeeeee;
  border: 1px solid #ccc;
  border-radius: 2px;
}
.input-group-addon.input-sm {
  padding: 5px 10px;
  font-size: 12px;
  border-radius: 1px;
}
.input-group-addon.input-lg {
  padding: 10px 16px;
  font-size: 17px;
  border-radius: 3px;
}
.input-group-addon input[type="radio"],
.input-group-addon input[type="checkbox"] {
  margin-top: 0;
}
.input-group .form-control:first-child,
.input-group-addon:first-child,
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group > .btn,
.input-group-btn:first-child > .dropdown-toggle,
.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),
.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.input-group-addon:first-child {
  border-right: 0;
}
.input-group .form-control:last-child,
.input-group-addon:last-child,
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group > .btn,
.input-group-btn:last-child > .dropdown-toggle,
.input-group-btn:first-child > .btn:not(:first-child),
.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.input-group-addon:last-child {
  border-left: 0;
}
.input-group-btn {
  position: relative;
  font-size: 0;
  white-space: nowrap;
}
.input-group-btn > .btn {
  position: relative;
}
.input-group-btn > .btn + .btn {
  margin-left: -1px;
}
.input-group-btn > .btn:hover,
.input-group-btn > .btn:focus,
.input-group-btn > .btn:active {
  z-index: 2;
}
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group {
  margin-right: -1px;
}
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group {
  z-index: 2;
  margin-left: -1px;
}
.nav {
  margin-bottom: 0;
  padding-left: 0;
  list-style: none;
}
.nav > li {
  position: relative;
  display: block;
}
.nav > li > a {
  position: relative;
  display: block;
  padding: 10px 15px;
}
.nav > li > a:hover,
.nav > li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.nav > li.disabled > a {
  color: #777777;
}
.nav > li.disabled > a:hover,
.nav > li.disabled > a:focus {
  color: #777777;
  text-decoration: none;
  background-color: transparent;
  cursor: not-allowed;
}
.nav .open > a,
.nav .open > a:hover,
.nav .open > a:focus {
  background-color: #eeeeee;
  border-color: #337ab7;
}
.nav .nav-divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.nav > li > a > img {
  max-width: none;
}
.nav-tabs {
  border-bottom: 1px solid #ddd;
}
.nav-tabs > li {
  float: left;
  margin-bottom: -1px;
}
.nav-tabs > li > a {
  margin-right: 2px;
  line-height: 1.42857143;
  border: 1px solid transparent;
  border-radius: 2px 2px 0 0;
}
.nav-tabs > li > a:hover {
  border-color: #eeeeee #eeeeee #ddd;
}
.nav-tabs > li.active > a,
.nav-tabs > li.active > a:hover,
.nav-tabs > li.active > a:focus {
  color: #555555;
  background-color: #fff;
  border: 1px solid #ddd;
  border-bottom-color: transparent;
  cursor: default;
}
.nav-tabs.nav-justified {
  width: 100%;
  border-bottom: 0;
}
.nav-tabs.nav-justified > li {
  float: none;
}
.nav-tabs.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-tabs.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-tabs.nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs.nav-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs.nav-justified > .active > a,
.nav-tabs.nav-justified > .active > a:hover,
.nav-tabs.nav-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs.nav-justified > .active > a,
  .nav-tabs.nav-justified > .active > a:hover,
  .nav-tabs.nav-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.nav-pills > li {
  float: left;
}
.nav-pills > li > a {
  border-radius: 2px;
}
.nav-pills > li + li {
  margin-left: 2px;
}
.nav-pills > li.active > a,
.nav-pills > li.active > a:hover,
.nav-pills > li.active > a:focus {
  color: #fff;
  background-color: #337ab7;
}
.nav-stacked > li {
  float: none;
}
.nav-stacked > li + li {
  margin-top: 2px;
  margin-left: 0;
}
.nav-justified {
  width: 100%;
}
.nav-justified > li {
  float: none;
}
.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs-justified {
  border-bottom: 0;
}
.nav-tabs-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs-justified > .active > a,
.nav-tabs-justified > .active > a:hover,
.nav-tabs-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs-justified > .active > a,
  .nav-tabs-justified > .active > a:hover,
  .nav-tabs-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.tab-content > .tab-pane {
  display: none;
}
.tab-content > .active {
  display: block;
}
.nav-tabs .dropdown-menu {
  margin-top: -1px;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar {
  position: relative;
  min-height: 30px;
  margin-bottom: 18px;
  border: 1px solid transparent;
}
@media (min-width: 541px) {
  .navbar {
    border-radius: 2px;
  }
}
@media (min-width: 541px) {
  .navbar-header {
    float: left;
  }
}
.navbar-collapse {
  overflow-x: visible;
  padding-right: 0px;
  padding-left: 0px;
  border-top: 1px solid transparent;
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);
  -webkit-overflow-scrolling: touch;
}
.navbar-collapse.in {
  overflow-y: auto;
}
@media (min-width: 541px) {
  .navbar-collapse {
    width: auto;
    border-top: 0;
    box-shadow: none;
  }
  .navbar-collapse.collapse {
    display: block !important;
    height: auto !important;
    padding-bottom: 0;
    overflow: visible !important;
  }
  .navbar-collapse.in {
    overflow-y: visible;
  }
  .navbar-fixed-top .navbar-collapse,
  .navbar-static-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    padding-left: 0;
    padding-right: 0;
  }
}
.navbar-fixed-top .navbar-collapse,
.navbar-fixed-bottom .navbar-collapse {
  max-height: 340px;
}
@media (max-device-width: 540px) and (orientation: landscape) {
  .navbar-fixed-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    max-height: 200px;
  }
}
.container > .navbar-header,
.container-fluid > .navbar-header,
.container > .navbar-collapse,
.container-fluid > .navbar-collapse {
  margin-right: 0px;
  margin-left: 0px;
}
@media (min-width: 541px) {
  .container > .navbar-header,
  .container-fluid > .navbar-header,
  .container > .navbar-collapse,
  .container-fluid > .navbar-collapse {
    margin-right: 0;
    margin-left: 0;
  }
}
.navbar-static-top {
  z-index: 1000;
  border-width: 0 0 1px;
}
@media (min-width: 541px) {
  .navbar-static-top {
    border-radius: 0;
  }
}
.navbar-fixed-top,
.navbar-fixed-bottom {
  position: fixed;
  right: 0;
  left: 0;
  z-index: 1030;
}
@media (min-width: 541px) {
  .navbar-fixed-top,
  .navbar-fixed-bottom {
    border-radius: 0;
  }
}
.navbar-fixed-top {
  top: 0;
  border-width: 0 0 1px;
}
.navbar-fixed-bottom {
  bottom: 0;
  margin-bottom: 0;
  border-width: 1px 0 0;
}
.navbar-brand {
  float: left;
  padding: 6px 0px;
  font-size: 17px;
  line-height: 18px;
  height: 30px;
}
.navbar-brand:hover,
.navbar-brand:focus {
  text-decoration: none;
}
.navbar-brand > img {
  display: block;
}
@media (min-width: 541px) {
  .navbar > .container .navbar-brand,
  .navbar > .container-fluid .navbar-brand {
    margin-left: 0px;
  }
}
.navbar-toggle {
  position: relative;
  float: right;
  margin-right: 0px;
  padding: 9px 10px;
  margin-top: -2px;
  margin-bottom: -2px;
  background-color: transparent;
  background-image: none;
  border: 1px solid transparent;
  border-radius: 2px;
}
.navbar-toggle:focus {
  outline: 0;
}
.navbar-toggle .icon-bar {
  display: block;
  width: 22px;
  height: 2px;
  border-radius: 1px;
}
.navbar-toggle .icon-bar + .icon-bar {
  margin-top: 4px;
}
@media (min-width: 541px) {
  .navbar-toggle {
    display: none;
  }
}
.navbar-nav {
  margin: 3px 0px;
}
.navbar-nav > li > a {
  padding-top: 10px;
  padding-bottom: 10px;
  line-height: 18px;
}
@media (max-width: 540px) {
  .navbar-nav .open .dropdown-menu {
    position: static;
    float: none;
    width: auto;
    margin-top: 0;
    background-color: transparent;
    border: 0;
    box-shadow: none;
  }
  .navbar-nav .open .dropdown-menu > li > a,
  .navbar-nav .open .dropdown-menu .dropdown-header {
    padding: 5px 15px 5px 25px;
  }
  .navbar-nav .open .dropdown-menu > li > a {
    line-height: 18px;
  }
  .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-nav .open .dropdown-menu > li > a:focus {
    background-image: none;
  }
}
@media (min-width: 541px) {
  .navbar-nav {
    float: left;
    margin: 0;
  }
  .navbar-nav > li {
    float: left;
  }
  .navbar-nav > li > a {
    padding-top: 6px;
    padding-bottom: 6px;
  }
}
.navbar-form {
  margin-left: 0px;
  margin-right: 0px;
  padding: 10px 0px;
  border-top: 1px solid transparent;
  border-bottom: 1px solid transparent;
  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  margin-top: -1px;
  margin-bottom: -1px;
}
@media (min-width: 768px) {
  .navbar-form .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .navbar-form .form-control-static {
    display: inline-block;
  }
  .navbar-form .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .navbar-form .input-group .input-group-addon,
  .navbar-form .input-group .input-group-btn,
  .navbar-form .input-group .form-control {
    width: auto;
  }
  .navbar-form .input-group > .form-control {
    width: 100%;
  }
  .navbar-form .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio,
  .navbar-form .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio label,
  .navbar-form .checkbox label {
    padding-left: 0;
  }
  .navbar-form .radio input[type="radio"],
  .navbar-form .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .navbar-form .has-feedback .form-control-feedback {
    top: 0;
  }
}
@media (max-width: 540px) {
  .navbar-form .form-group {
    margin-bottom: 5px;
  }
  .navbar-form .form-group:last-child {
    margin-bottom: 0;
  }
}
@media (min-width: 541px) {
  .navbar-form {
    width: auto;
    border: 0;
    margin-left: 0;
    margin-right: 0;
    padding-top: 0;
    padding-bottom: 0;
    -webkit-box-shadow: none;
    box-shadow: none;
  }
}
.navbar-nav > li > .dropdown-menu {
  margin-top: 0;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
  margin-bottom: 0;
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.navbar-btn {
  margin-top: -1px;
  margin-bottom: -1px;
}
.navbar-btn.btn-sm {
  margin-top: 0px;
  margin-bottom: 0px;
}
.navbar-btn.btn-xs {
  margin-top: 4px;
  margin-bottom: 4px;
}
.navbar-text {
  margin-top: 6px;
  margin-bottom: 6px;
}
@media (min-width: 541px) {
  .navbar-text {
    float: left;
    margin-left: 0px;
    margin-right: 0px;
  }
}
@media (min-width: 541px) {
  .navbar-left {
    float: left !important;
    float: left;
  }
  .navbar-right {
    float: right !important;
    float: right;
    margin-right: 0px;
  }
  .navbar-right ~ .navbar-right {
    margin-right: 0;
  }
}
.navbar-default {
  background-color: #f8f8f8;
  border-color: #e7e7e7;
}
.navbar-default .navbar-brand {
  color: #777;
}
.navbar-default .navbar-brand:hover,
.navbar-default .navbar-brand:focus {
  color: #5e5e5e;
  background-color: transparent;
}
.navbar-default .navbar-text {
  color: #777;
}
.navbar-default .navbar-nav > li > a {
  color: #777;
}
.navbar-default .navbar-nav > li > a:hover,
.navbar-default .navbar-nav > li > a:focus {
  color: #333;
  background-color: transparent;
}
.navbar-default .navbar-nav > .active > a,
.navbar-default .navbar-nav > .active > a:hover,
.navbar-default .navbar-nav > .active > a:focus {
  color: #555;
  background-color: #e7e7e7;
}
.navbar-default .navbar-nav > .disabled > a,
.navbar-default .navbar-nav > .disabled > a:hover,
.navbar-default .navbar-nav > .disabled > a:focus {
  color: #ccc;
  background-color: transparent;
}
.navbar-default .navbar-toggle {
  border-color: #ddd;
}
.navbar-default .navbar-toggle:hover,
.navbar-default .navbar-toggle:focus {
  background-color: #ddd;
}
.navbar-default .navbar-toggle .icon-bar {
  background-color: #888;
}
.navbar-default .navbar-collapse,
.navbar-default .navbar-form {
  border-color: #e7e7e7;
}
.navbar-default .navbar-nav > .open > a,
.navbar-default .navbar-nav > .open > a:hover,
.navbar-default .navbar-nav > .open > a:focus {
  background-color: #e7e7e7;
  color: #555;
}
@media (max-width: 540px) {
  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
    color: #777;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #333;
    background-color: transparent;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #555;
    background-color: #e7e7e7;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #ccc;
    background-color: transparent;
  }
}
.navbar-default .navbar-link {
  color: #777;
}
.navbar-default .navbar-link:hover {
  color: #333;
}
.navbar-default .btn-link {
  color: #777;
}
.navbar-default .btn-link:hover,
.navbar-default .btn-link:focus {
  color: #333;
}
.navbar-default .btn-link[disabled]:hover,
fieldset[disabled] .navbar-default .btn-link:hover,
.navbar-default .btn-link[disabled]:focus,
fieldset[disabled] .navbar-default .btn-link:focus {
  color: #ccc;
}
.navbar-inverse {
  background-color: #222;
  border-color: #080808;
}
.navbar-inverse .navbar-brand {
  color: #9d9d9d;
}
.navbar-inverse .navbar-brand:hover,
.navbar-inverse .navbar-brand:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-text {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a:hover,
.navbar-inverse .navbar-nav > li > a:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-nav > .active > a,
.navbar-inverse .navbar-nav > .active > a:hover,
.navbar-inverse .navbar-nav > .active > a:focus {
  color: #fff;
  background-color: #080808;
}
.navbar-inverse .navbar-nav > .disabled > a,
.navbar-inverse .navbar-nav > .disabled > a:hover,
.navbar-inverse .navbar-nav > .disabled > a:focus {
  color: #444;
  background-color: transparent;
}
.navbar-inverse .navbar-toggle {
  border-color: #333;
}
.navbar-inverse .navbar-toggle:hover,
.navbar-inverse .navbar-toggle:focus {
  background-color: #333;
}
.navbar-inverse .navbar-toggle .icon-bar {
  background-color: #fff;
}
.navbar-inverse .navbar-collapse,
.navbar-inverse .navbar-form {
  border-color: #101010;
}
.navbar-inverse .navbar-nav > .open > a,
.navbar-inverse .navbar-nav > .open > a:hover,
.navbar-inverse .navbar-nav > .open > a:focus {
  background-color: #080808;
  color: #fff;
}
@media (max-width: 540px) {
  .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {
    border-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu .divider {
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a {
    color: #9d9d9d;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #fff;
    background-color: transparent;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #fff;
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #444;
    background-color: transparent;
  }
}
.navbar-inverse .navbar-link {
  color: #9d9d9d;
}
.navbar-inverse .navbar-link:hover {
  color: #fff;
}
.navbar-inverse .btn-link {
  color: #9d9d9d;
}
.navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link:focus {
  color: #fff;
}
.navbar-inverse .btn-link[disabled]:hover,
fieldset[disabled] .navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link[disabled]:focus,
fieldset[disabled] .navbar-inverse .btn-link:focus {
  color: #444;
}
.breadcrumb {
  padding: 8px 15px;
  margin-bottom: 18px;
  list-style: none;
  background-color: #f5f5f5;
  border-radius: 2px;
}
.breadcrumb > li {
  display: inline-block;
}
.breadcrumb > li + li:before {
  content: "/\00a0";
  padding: 0 5px;
  color: #5e5e5e;
}
.breadcrumb > .active {
  color: #777777;
}
.pagination {
  display: inline-block;
  padding-left: 0;
  margin: 18px 0;
  border-radius: 2px;
}
.pagination > li {
  display: inline;
}
.pagination > li > a,
.pagination > li > span {
  position: relative;
  float: left;
  padding: 6px 12px;
  line-height: 1.42857143;
  text-decoration: none;
  color: #337ab7;
  background-color: #fff;
  border: 1px solid #ddd;
  margin-left: -1px;
}
.pagination > li:first-child > a,
.pagination > li:first-child > span {
  margin-left: 0;
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.pagination > li:last-child > a,
.pagination > li:last-child > span {
  border-bottom-right-radius: 2px;
  border-top-right-radius: 2px;
}
.pagination > li > a:hover,
.pagination > li > span:hover,
.pagination > li > a:focus,
.pagination > li > span:focus {
  z-index: 2;
  color: #23527c;
  background-color: #eeeeee;
  border-color: #ddd;
}
.pagination > .active > a,
.pagination > .active > span,
.pagination > .active > a:hover,
.pagination > .active > span:hover,
.pagination > .active > a:focus,
.pagination > .active > span:focus {
  z-index: 3;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
  cursor: default;
}
.pagination > .disabled > span,
.pagination > .disabled > span:hover,
.pagination > .disabled > span:focus,
.pagination > .disabled > a,
.pagination > .disabled > a:hover,
.pagination > .disabled > a:focus {
  color: #777777;
  background-color: #fff;
  border-color: #ddd;
  cursor: not-allowed;
}
.pagination-lg > li > a,
.pagination-lg > li > span {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.pagination-lg > li:first-child > a,
.pagination-lg > li:first-child > span {
  border-bottom-left-radius: 3px;
  border-top-left-radius: 3px;
}
.pagination-lg > li:last-child > a,
.pagination-lg > li:last-child > span {
  border-bottom-right-radius: 3px;
  border-top-right-radius: 3px;
}
.pagination-sm > li > a,
.pagination-sm > li > span {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.pagination-sm > li:first-child > a,
.pagination-sm > li:first-child > span {
  border-bottom-left-radius: 1px;
  border-top-left-radius: 1px;
}
.pagination-sm > li:last-child > a,
.pagination-sm > li:last-child > span {
  border-bottom-right-radius: 1px;
  border-top-right-radius: 1px;
}
.pager {
  padding-left: 0;
  margin: 18px 0;
  list-style: none;
  text-align: center;
}
.pager li {
  display: inline;
}
.pager li > a,
.pager li > span {
  display: inline-block;
  padding: 5px 14px;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 15px;
}
.pager li > a:hover,
.pager li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.pager .next > a,
.pager .next > span {
  float: right;
}
.pager .previous > a,
.pager .previous > span {
  float: left;
}
.pager .disabled > a,
.pager .disabled > a:hover,
.pager .disabled > a:focus,
.pager .disabled > span {
  color: #777777;
  background-color: #fff;
  cursor: not-allowed;
}
.label {
  display: inline;
  padding: .2em .6em .3em;
  font-size: 75%;
  font-weight: bold;
  line-height: 1;
  color: #fff;
  text-align: center;
  white-space: nowrap;
  vertical-align: baseline;
  border-radius: .25em;
}
a.label:hover,
a.label:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.label:empty {
  display: none;
}
.btn .label {
  position: relative;
  top: -1px;
}
.label-default {
  background-color: #777777;
}
.label-default[href]:hover,
.label-default[href]:focus {
  background-color: #5e5e5e;
}
.label-primary {
  background-color: #337ab7;
}
.label-primary[href]:hover,
.label-primary[href]:focus {
  background-color: #286090;
}
.label-success {
  background-color: #5cb85c;
}
.label-success[href]:hover,
.label-success[href]:focus {
  background-color: #449d44;
}
.label-info {
  background-color: #5bc0de;
}
.label-info[href]:hover,
.label-info[href]:focus {
  background-color: #31b0d5;
}
.label-warning {
  background-color: #f0ad4e;
}
.label-warning[href]:hover,
.label-warning[href]:focus {
  background-color: #ec971f;
}
.label-danger {
  background-color: #d9534f;
}
.label-danger[href]:hover,
.label-danger[href]:focus {
  background-color: #c9302c;
}
.badge {
  display: inline-block;
  min-width: 10px;
  padding: 3px 7px;
  font-size: 12px;
  font-weight: bold;
  color: #fff;
  line-height: 1;
  vertical-align: middle;
  white-space: nowrap;
  text-align: center;
  background-color: #777777;
  border-radius: 10px;
}
.badge:empty {
  display: none;
}
.btn .badge {
  position: relative;
  top: -1px;
}
.btn-xs .badge,
.btn-group-xs > .btn .badge {
  top: 0;
  padding: 1px 5px;
}
a.badge:hover,
a.badge:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.list-group-item.active > .badge,
.nav-pills > .active > a > .badge {
  color: #337ab7;
  background-color: #fff;
}
.list-group-item > .badge {
  float: right;
}
.list-group-item > .badge + .badge {
  margin-right: 5px;
}
.nav-pills > li > a > .badge {
  margin-left: 3px;
}
.jumbotron {
  padding-top: 30px;
  padding-bottom: 30px;
  margin-bottom: 30px;
  color: inherit;
  background-color: #eeeeee;
}
.jumbotron h1,
.jumbotron .h1 {
  color: inherit;
}
.jumbotron p {
  margin-bottom: 15px;
  font-size: 20px;
  font-weight: 200;
}
.jumbotron > hr {
  border-top-color: #d5d5d5;
}
.container .jumbotron,
.container-fluid .jumbotron {
  border-radius: 3px;
  padding-left: 0px;
  padding-right: 0px;
}
.jumbotron .container {
  max-width: 100%;
}
@media screen and (min-width: 768px) {
  .jumbotron {
    padding-top: 48px;
    padding-bottom: 48px;
  }
  .container .jumbotron,
  .container-fluid .jumbotron {
    padding-left: 60px;
    padding-right: 60px;
  }
  .jumbotron h1,
  .jumbotron .h1 {
    font-size: 59px;
  }
}
.thumbnail {
  display: block;
  padding: 4px;
  margin-bottom: 18px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: border 0.2s ease-in-out;
  -o-transition: border 0.2s ease-in-out;
  transition: border 0.2s ease-in-out;
}
.thumbnail > img,
.thumbnail a > img {
  margin-left: auto;
  margin-right: auto;
}
a.thumbnail:hover,
a.thumbnail:focus,
a.thumbnail.active {
  border-color: #337ab7;
}
.thumbnail .caption {
  padding: 9px;
  color: #000;
}
.alert {
  padding: 15px;
  margin-bottom: 18px;
  border: 1px solid transparent;
  border-radius: 2px;
}
.alert h4 {
  margin-top: 0;
  color: inherit;
}
.alert .alert-link {
  font-weight: bold;
}
.alert > p,
.alert > ul {
  margin-bottom: 0;
}
.alert > p + p {
  margin-top: 5px;
}
.alert-dismissable,
.alert-dismissible {
  padding-right: 35px;
}
.alert-dismissable .close,
.alert-dismissible .close {
  position: relative;
  top: -2px;
  right: -21px;
  color: inherit;
}
.alert-success {
  background-color: #dff0d8;
  border-color: #d6e9c6;
  color: #3c763d;
}
.alert-success hr {
  border-top-color: #c9e2b3;
}
.alert-success .alert-link {
  color: #2b542c;
}
.alert-info {
  background-color: #d9edf7;
  border-color: #bce8f1;
  color: #31708f;
}
.alert-info hr {
  border-top-color: #a6e1ec;
}
.alert-info .alert-link {
  color: #245269;
}
.alert-warning {
  background-color: #fcf8e3;
  border-color: #faebcc;
  color: #8a6d3b;
}
.alert-warning hr {
  border-top-color: #f7e1b5;
}
.alert-warning .alert-link {
  color: #66512c;
}
.alert-danger {
  background-color: #f2dede;
  border-color: #ebccd1;
  color: #a94442;
}
.alert-danger hr {
  border-top-color: #e4b9c0;
}
.alert-danger .alert-link {
  color: #843534;
}
@-webkit-keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
@keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
.progress {
  overflow: hidden;
  height: 18px;
  margin-bottom: 18px;
  background-color: #f5f5f5;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
  box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
}
.progress-bar {
  float: left;
  width: 0%;
  height: 100%;
  font-size: 12px;
  line-height: 18px;
  color: #fff;
  text-align: center;
  background-color: #337ab7;
  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  -webkit-transition: width 0.6s ease;
  -o-transition: width 0.6s ease;
  transition: width 0.6s ease;
}
.progress-striped .progress-bar,
.progress-bar-striped {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-size: 40px 40px;
}
.progress.active .progress-bar,
.progress-bar.active {
  -webkit-animation: progress-bar-stripes 2s linear infinite;
  -o-animation: progress-bar-stripes 2s linear infinite;
  animation: progress-bar-stripes 2s linear infinite;
}
.progress-bar-success {
  background-color: #5cb85c;
}
.progress-striped .progress-bar-success {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-info {
  background-color: #5bc0de;
}
.progress-striped .progress-bar-info {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-warning {
  background-color: #f0ad4e;
}
.progress-striped .progress-bar-warning {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-danger {
  background-color: #d9534f;
}
.progress-striped .progress-bar-danger {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.media {
  margin-top: 15px;
}
.media:first-child {
  margin-top: 0;
}
.media,
.media-body {
  zoom: 1;
  overflow: hidden;
}
.media-body {
  width: 10000px;
}
.media-object {
  display: block;
}
.media-object.img-thumbnail {
  max-width: none;
}
.media-right,
.media > .pull-right {
  padding-left: 10px;
}
.media-left,
.media > .pull-left {
  padding-right: 10px;
}
.media-left,
.media-right,
.media-body {
  display: table-cell;
  vertical-align: top;
}
.media-middle {
  vertical-align: middle;
}
.media-bottom {
  vertical-align: bottom;
}
.media-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.media-list {
  padding-left: 0;
  list-style: none;
}
.list-group {
  margin-bottom: 20px;
  padding-left: 0;
}
.list-group-item {
  position: relative;
  display: block;
  padding: 10px 15px;
  margin-bottom: -1px;
  background-color: #fff;
  border: 1px solid #ddd;
}
.list-group-item:first-child {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
}
.list-group-item:last-child {
  margin-bottom: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
a.list-group-item,
button.list-group-item {
  color: #555;
}
a.list-group-item .list-group-item-heading,
button.list-group-item .list-group-item-heading {
  color: #333;
}
a.list-group-item:hover,
button.list-group-item:hover,
a.list-group-item:focus,
button.list-group-item:focus {
  text-decoration: none;
  color: #555;
  background-color: #f5f5f5;
}
button.list-group-item {
  width: 100%;
  text-align: left;
}
.list-group-item.disabled,
.list-group-item.disabled:hover,
.list-group-item.disabled:focus {
  background-color: #eeeeee;
  color: #777777;
  cursor: not-allowed;
}
.list-group-item.disabled .list-group-item-heading,
.list-group-item.disabled:hover .list-group-item-heading,
.list-group-item.disabled:focus .list-group-item-heading {
  color: inherit;
}
.list-group-item.disabled .list-group-item-text,
.list-group-item.disabled:hover .list-group-item-text,
.list-group-item.disabled:focus .list-group-item-text {
  color: #777777;
}
.list-group-item.active,
.list-group-item.active:hover,
.list-group-item.active:focus {
  z-index: 2;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.list-group-item.active .list-group-item-heading,
.list-group-item.active:hover .list-group-item-heading,
.list-group-item.active:focus .list-group-item-heading,
.list-group-item.active .list-group-item-heading > small,
.list-group-item.active:hover .list-group-item-heading > small,
.list-group-item.active:focus .list-group-item-heading > small,
.list-group-item.active .list-group-item-heading > .small,
.list-group-item.active:hover .list-group-item-heading > .small,
.list-group-item.active:focus .list-group-item-heading > .small {
  color: inherit;
}
.list-group-item.active .list-group-item-text,
.list-group-item.active:hover .list-group-item-text,
.list-group-item.active:focus .list-group-item-text {
  color: #c7ddef;
}
.list-group-item-success {
  color: #3c763d;
  background-color: #dff0d8;
}
a.list-group-item-success,
button.list-group-item-success {
  color: #3c763d;
}
a.list-group-item-success .list-group-item-heading,
button.list-group-item-success .list-group-item-heading {
  color: inherit;
}
a.list-group-item-success:hover,
button.list-group-item-success:hover,
a.list-group-item-success:focus,
button.list-group-item-success:focus {
  color: #3c763d;
  background-color: #d0e9c6;
}
a.list-group-item-success.active,
button.list-group-item-success.active,
a.list-group-item-success.active:hover,
button.list-group-item-success.active:hover,
a.list-group-item-success.active:focus,
button.list-group-item-success.active:focus {
  color: #fff;
  background-color: #3c763d;
  border-color: #3c763d;
}
.list-group-item-info {
  color: #31708f;
  background-color: #d9edf7;
}
a.list-group-item-info,
button.list-group-item-info {
  color: #31708f;
}
a.list-group-item-info .list-group-item-heading,
button.list-group-item-info .list-group-item-heading {
  color: inherit;
}
a.list-group-item-info:hover,
button.list-group-item-info:hover,
a.list-group-item-info:focus,
button.list-group-item-info:focus {
  color: #31708f;
  background-color: #c4e3f3;
}
a.list-group-item-info.active,
button.list-group-item-info.active,
a.list-group-item-info.active:hover,
button.list-group-item-info.active:hover,
a.list-group-item-info.active:focus,
button.list-group-item-info.active:focus {
  color: #fff;
  background-color: #31708f;
  border-color: #31708f;
}
.list-group-item-warning {
  color: #8a6d3b;
  background-color: #fcf8e3;
}
a.list-group-item-warning,
button.list-group-item-warning {
  color: #8a6d3b;
}
a.list-group-item-warning .list-group-item-heading,
button.list-group-item-warning .list-group-item-heading {
  color: inherit;
}
a.list-group-item-warning:hover,
button.list-group-item-warning:hover,
a.list-group-item-warning:focus,
button.list-group-item-warning:focus {
  color: #8a6d3b;
  background-color: #faf2cc;
}
a.list-group-item-warning.active,
button.list-group-item-warning.active,
a.list-group-item-warning.active:hover,
button.list-group-item-warning.active:hover,
a.list-group-item-warning.active:focus,
button.list-group-item-warning.active:focus {
  color: #fff;
  background-color: #8a6d3b;
  border-color: #8a6d3b;
}
.list-group-item-danger {
  color: #a94442;
  background-color: #f2dede;
}
a.list-group-item-danger,
button.list-group-item-danger {
  color: #a94442;
}
a.list-group-item-danger .list-group-item-heading,
button.list-group-item-danger .list-group-item-heading {
  color: inherit;
}
a.list-group-item-danger:hover,
button.list-group-item-danger:hover,
a.list-group-item-danger:focus,
button.list-group-item-danger:focus {
  color: #a94442;
  background-color: #ebcccc;
}
a.list-group-item-danger.active,
button.list-group-item-danger.active,
a.list-group-item-danger.active:hover,
button.list-group-item-danger.active:hover,
a.list-group-item-danger.active:focus,
button.list-group-item-danger.active:focus {
  color: #fff;
  background-color: #a94442;
  border-color: #a94442;
}
.list-group-item-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.list-group-item-text {
  margin-bottom: 0;
  line-height: 1.3;
}
.panel {
  margin-bottom: 18px;
  background-color: #fff;
  border: 1px solid transparent;
  border-radius: 2px;
  -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
}
.panel-body {
  padding: 15px;
}
.panel-heading {
  padding: 10px 15px;
  border-bottom: 1px solid transparent;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel-heading > .dropdown .dropdown-toggle {
  color: inherit;
}
.panel-title {
  margin-top: 0;
  margin-bottom: 0;
  font-size: 15px;
  color: inherit;
}
.panel-title > a,
.panel-title > small,
.panel-title > .small,
.panel-title > small > a,
.panel-title > .small > a {
  color: inherit;
}
.panel-footer {
  padding: 10px 15px;
  background-color: #f5f5f5;
  border-top: 1px solid #ddd;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .list-group,
.panel > .panel-collapse > .list-group {
  margin-bottom: 0;
}
.panel > .list-group .list-group-item,
.panel > .panel-collapse > .list-group .list-group-item {
  border-width: 1px 0;
  border-radius: 0;
}
.panel > .list-group:first-child .list-group-item:first-child,
.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {
  border-top: 0;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .list-group:last-child .list-group-item:last-child,
.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {
  border-bottom: 0;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.panel-heading + .list-group .list-group-item:first-child {
  border-top-width: 0;
}
.list-group + .panel-footer {
  border-top-width: 0;
}
.panel > .table,
.panel > .table-responsive > .table,
.panel > .panel-collapse > .table {
  margin-bottom: 0;
}
.panel > .table caption,
.panel > .table-responsive > .table caption,
.panel > .panel-collapse > .table caption {
  padding-left: 15px;
  padding-right: 15px;
}
.panel > .table:first-child,
.panel > .table-responsive:first-child > .table:first-child {
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {
  border-top-left-radius: 1px;
  border-top-right-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {
  border-top-right-radius: 1px;
}
.panel > .table:last-child,
.panel > .table-responsive:last-child > .table:last-child {
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {
  border-bottom-left-radius: 1px;
  border-bottom-right-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {
  border-bottom-right-radius: 1px;
}
.panel > .panel-body + .table,
.panel > .panel-body + .table-responsive,
.panel > .table + .panel-body,
.panel > .table-responsive + .panel-body {
  border-top: 1px solid #ddd;
}
.panel > .table > tbody:first-child > tr:first-child th,
.panel > .table > tbody:first-child > tr:first-child td {
  border-top: 0;
}
.panel > .table-bordered,
.panel > .table-responsive > .table-bordered {
  border: 0;
}
.panel > .table-bordered > thead > tr > th:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,
.panel > .table-bordered > tbody > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,
.panel > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-bordered > thead > tr > td:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,
.panel > .table-bordered > tbody > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,
.panel > .table-bordered > tfoot > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {
  border-left: 0;
}
.panel > .table-bordered > thead > tr > th:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,
.panel > .table-bordered > tbody > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,
.panel > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-bordered > thead > tr > td:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,
.panel > .table-bordered > tbody > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,
.panel > .table-bordered > tfoot > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {
  border-right: 0;
}
.panel > .table-bordered > thead > tr:first-child > td,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,
.panel > .table-bordered > tbody > tr:first-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,
.panel > .table-bordered > thead > tr:first-child > th,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,
.panel > .table-bordered > tbody > tr:first-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {
  border-bottom: 0;
}
.panel > .table-bordered > tbody > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,
.panel > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-bordered > tbody > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,
.panel > .table-bordered > tfoot > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {
  border-bottom: 0;
}
.panel > .table-responsive {
  border: 0;
  margin-bottom: 0;
}
.panel-group {
  margin-bottom: 18px;
}
.panel-group .panel {
  margin-bottom: 0;
  border-radius: 2px;
}
.panel-group .panel + .panel {
  margin-top: 5px;
}
.panel-group .panel-heading {
  border-bottom: 0;
}
.panel-group .panel-heading + .panel-collapse > .panel-body,
.panel-group .panel-heading + .panel-collapse > .list-group {
  border-top: 1px solid #ddd;
}
.panel-group .panel-footer {
  border-top: 0;
}
.panel-group .panel-footer + .panel-collapse .panel-body {
  border-bottom: 1px solid #ddd;
}
.panel-default {
  border-color: #ddd;
}
.panel-default > .panel-heading {
  color: #333333;
  background-color: #f5f5f5;
  border-color: #ddd;
}
.panel-default > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ddd;
}
.panel-default > .panel-heading .badge {
  color: #f5f5f5;
  background-color: #333333;
}
.panel-default > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ddd;
}
.panel-primary {
  border-color: #337ab7;
}
.panel-primary > .panel-heading {
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.panel-primary > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #337ab7;
}
.panel-primary > .panel-heading .badge {
  color: #337ab7;
  background-color: #fff;
}
.panel-primary > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #337ab7;
}
.panel-success {
  border-color: #d6e9c6;
}
.panel-success > .panel-heading {
  color: #3c763d;
  background-color: #dff0d8;
  border-color: #d6e9c6;
}
.panel-success > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #d6e9c6;
}
.panel-success > .panel-heading .badge {
  color: #dff0d8;
  background-color: #3c763d;
}
.panel-success > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #d6e9c6;
}
.panel-info {
  border-color: #bce8f1;
}
.panel-info > .panel-heading {
  color: #31708f;
  background-color: #d9edf7;
  border-color: #bce8f1;
}
.panel-info > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #bce8f1;
}
.panel-info > .panel-heading .badge {
  color: #d9edf7;
  background-color: #31708f;
}
.panel-info > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #bce8f1;
}
.panel-warning {
  border-color: #faebcc;
}
.panel-warning > .panel-heading {
  color: #8a6d3b;
  background-color: #fcf8e3;
  border-color: #faebcc;
}
.panel-warning > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #faebcc;
}
.panel-warning > .panel-heading .badge {
  color: #fcf8e3;
  background-color: #8a6d3b;
}
.panel-warning > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #faebcc;
}
.panel-danger {
  border-color: #ebccd1;
}
.panel-danger > .panel-heading {
  color: #a94442;
  background-color: #f2dede;
  border-color: #ebccd1;
}
.panel-danger > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ebccd1;
}
.panel-danger > .panel-heading .badge {
  color: #f2dede;
  background-color: #a94442;
}
.panel-danger > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ebccd1;
}
.embed-responsive {
  position: relative;
  display: block;
  height: 0;
  padding: 0;
  overflow: hidden;
}
.embed-responsive .embed-responsive-item,
.embed-responsive iframe,
.embed-responsive embed,
.embed-responsive object,
.embed-responsive video {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  height: 100%;
  width: 100%;
  border: 0;
}
.embed-responsive-16by9 {
  padding-bottom: 56.25%;
}
.embed-responsive-4by3 {
  padding-bottom: 75%;
}
.well {
  min-height: 20px;
  padding: 19px;
  margin-bottom: 20px;
  background-color: #f5f5f5;
  border: 1px solid #e3e3e3;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
}
.well blockquote {
  border-color: #ddd;
  border-color: rgba(0, 0, 0, 0.15);
}
.well-lg {
  padding: 24px;
  border-radius: 3px;
}
.well-sm {
  padding: 9px;
  border-radius: 1px;
}
.close {
  float: right;
  font-size: 19.5px;
  font-weight: bold;
  line-height: 1;
  color: #000;
  text-shadow: 0 1px 0 #fff;
  opacity: 0.2;
  filter: alpha(opacity=20);
}
.close:hover,
.close:focus {
  color: #000;
  text-decoration: none;
  cursor: pointer;
  opacity: 0.5;
  filter: alpha(opacity=50);
}
button.close {
  padding: 0;
  cursor: pointer;
  background: transparent;
  border: 0;
  -webkit-appearance: none;
}
.modal-open {
  overflow: hidden;
}
.modal {
  display: none;
  overflow: hidden;
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1050;
  -webkit-overflow-scrolling: touch;
  outline: 0;
}
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, -25%);
  -ms-transform: translate(0, -25%);
  -o-transform: translate(0, -25%);
  transform: translate(0, -25%);
  -webkit-transition: -webkit-transform 0.3s ease-out;
  -moz-transition: -moz-transform 0.3s ease-out;
  -o-transition: -o-transform 0.3s ease-out;
  transition: transform 0.3s ease-out;
}
.modal.in .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
.modal-open .modal {
  overflow-x: hidden;
  overflow-y: auto;
}
.modal-dialog {
  position: relative;
  width: auto;
  margin: 10px;
}
.modal-content {
  position: relative;
  background-color: #fff;
  border: 1px solid #999;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  background-clip: padding-box;
  outline: 0;
}
.modal-backdrop {
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1040;
  background-color: #000;
}
.modal-backdrop.fade {
  opacity: 0;
  filter: alpha(opacity=0);
}
.modal-backdrop.in {
  opacity: 0.5;
  filter: alpha(opacity=50);
}
.modal-header {
  padding: 15px;
  border-bottom: 1px solid #e5e5e5;
}
.modal-header .close {
  margin-top: -2px;
}
.modal-title {
  margin: 0;
  line-height: 1.42857143;
}
.modal-body {
  position: relative;
  padding: 15px;
}
.modal-footer {
  padding: 15px;
  text-align: right;
  border-top: 1px solid #e5e5e5;
}
.modal-footer .btn + .btn {
  margin-left: 5px;
  margin-bottom: 0;
}
.modal-footer .btn-group .btn + .btn {
  margin-left: -1px;
}
.modal-footer .btn-block + .btn-block {
  margin-left: 0;
}
.modal-scrollbar-measure {
  position: absolute;
  top: -9999px;
  width: 50px;
  height: 50px;
  overflow: scroll;
}
@media (min-width: 768px) {
  .modal-dialog {
    width: 600px;
    margin: 30px auto;
  }
  .modal-content {
    -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
  }
  .modal-sm {
    width: 300px;
  }
}
@media (min-width: 992px) {
  .modal-lg {
    width: 900px;
  }
}
.tooltip {
  position: absolute;
  z-index: 1070;
  display: block;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 12px;
  opacity: 0;
  filter: alpha(opacity=0);
}
.tooltip.in {
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.tooltip.top {
  margin-top: -3px;
  padding: 5px 0;
}
.tooltip.right {
  margin-left: 3px;
  padding: 0 5px;
}
.tooltip.bottom {
  margin-top: 3px;
  padding: 5px 0;
}
.tooltip.left {
  margin-left: -3px;
  padding: 0 5px;
}
.tooltip-inner {
  max-width: 200px;
  padding: 3px 8px;
  color: #fff;
  text-align: center;
  background-color: #000;
  border-radius: 2px;
}
.tooltip-arrow {
  position: absolute;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.tooltip.top .tooltip-arrow {
  bottom: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-left .tooltip-arrow {
  bottom: 0;
  right: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-right .tooltip-arrow {
  bottom: 0;
  left: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.right .tooltip-arrow {
  top: 50%;
  left: 0;
  margin-top: -5px;
  border-width: 5px 5px 5px 0;
  border-right-color: #000;
}
.tooltip.left .tooltip-arrow {
  top: 50%;
  right: 0;
  margin-top: -5px;
  border-width: 5px 0 5px 5px;
  border-left-color: #000;
}
.tooltip.bottom .tooltip-arrow {
  top: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-left .tooltip-arrow {
  top: 0;
  right: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-right .tooltip-arrow {
  top: 0;
  left: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.popover {
  position: absolute;
  top: 0;
  left: 0;
  z-index: 1060;
  display: none;
  max-width: 276px;
  padding: 1px;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 13px;
  background-color: #fff;
  background-clip: padding-box;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
  box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
}
.popover.top {
  margin-top: -10px;
}
.popover.right {
  margin-left: 10px;
}
.popover.bottom {
  margin-top: 10px;
}
.popover.left {
  margin-left: -10px;
}
.popover-title {
  margin: 0;
  padding: 8px 14px;
  font-size: 13px;
  background-color: #f7f7f7;
  border-bottom: 1px solid #ebebeb;
  border-radius: 2px 2px 0 0;
}
.popover-content {
  padding: 9px 14px;
}
.popover > .arrow,
.popover > .arrow:after {
  position: absolute;
  display: block;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.popover > .arrow {
  border-width: 11px;
}
.popover > .arrow:after {
  border-width: 10px;
  content: "";
}
.popover.top > .arrow {
  left: 50%;
  margin-left: -11px;
  border-bottom-width: 0;
  border-top-color: #999999;
  border-top-color: rgba(0, 0, 0, 0.25);
  bottom: -11px;
}
.popover.top > .arrow:after {
  content: " ";
  bottom: 1px;
  margin-left: -10px;
  border-bottom-width: 0;
  border-top-color: #fff;
}
.popover.right > .arrow {
  top: 50%;
  left: -11px;
  margin-top: -11px;
  border-left-width: 0;
  border-right-color: #999999;
  border-right-color: rgba(0, 0, 0, 0.25);
}
.popover.right > .arrow:after {
  content: " ";
  left: 1px;
  bottom: -10px;
  border-left-width: 0;
  border-right-color: #fff;
}
.popover.bottom > .arrow {
  left: 50%;
  margin-left: -11px;
  border-top-width: 0;
  border-bottom-color: #999999;
  border-bottom-color: rgba(0, 0, 0, 0.25);
  top: -11px;
}
.popover.bottom > .arrow:after {
  content: " ";
  top: 1px;
  margin-left: -10px;
  border-top-width: 0;
  border-bottom-color: #fff;
}
.popover.left > .arrow {
  top: 50%;
  right: -11px;
  margin-top: -11px;
  border-right-width: 0;
  border-left-color: #999999;
  border-left-color: rgba(0, 0, 0, 0.25);
}
.popover.left > .arrow:after {
  content: " ";
  right: 1px;
  border-right-width: 0;
  border-left-color: #fff;
  bottom: -10px;
}
.carousel {
  position: relative;
}
.carousel-inner {
  position: relative;
  overflow: hidden;
  width: 100%;
}
.carousel-inner > .item {
  display: none;
  position: relative;
  -webkit-transition: 0.6s ease-in-out left;
  -o-transition: 0.6s ease-in-out left;
  transition: 0.6s ease-in-out left;
}
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  line-height: 1;
}
@media all and (transform-3d), (-webkit-transform-3d) {
  .carousel-inner > .item {
    -webkit-transition: -webkit-transform 0.6s ease-in-out;
    -moz-transition: -moz-transform 0.6s ease-in-out;
    -o-transition: -o-transform 0.6s ease-in-out;
    transition: transform 0.6s ease-in-out;
    -webkit-backface-visibility: hidden;
    -moz-backface-visibility: hidden;
    backface-visibility: hidden;
    -webkit-perspective: 1000px;
    -moz-perspective: 1000px;
    perspective: 1000px;
  }
  .carousel-inner > .item.next,
  .carousel-inner > .item.active.right {
    -webkit-transform: translate3d(100%, 0, 0);
    transform: translate3d(100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.prev,
  .carousel-inner > .item.active.left {
    -webkit-transform: translate3d(-100%, 0, 0);
    transform: translate3d(-100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.next.left,
  .carousel-inner > .item.prev.right,
  .carousel-inner > .item.active {
    -webkit-transform: translate3d(0, 0, 0);
    transform: translate3d(0, 0, 0);
    left: 0;
  }
}
.carousel-inner > .active,
.carousel-inner > .next,
.carousel-inner > .prev {
  display: block;
}
.carousel-inner > .active {
  left: 0;
}
.carousel-inner > .next,
.carousel-inner > .prev {
  position: absolute;
  top: 0;
  width: 100%;
}
.carousel-inner > .next {
  left: 100%;
}
.carousel-inner > .prev {
  left: -100%;
}
.carousel-inner > .next.left,
.carousel-inner > .prev.right {
  left: 0;
}
.carousel-inner > .active.left {
  left: -100%;
}
.carousel-inner > .active.right {
  left: 100%;
}
.carousel-control {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  width: 15%;
  opacity: 0.5;
  filter: alpha(opacity=50);
  font-size: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
  background-color: rgba(0, 0, 0, 0);
}
.carousel-control.left {
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);
}
.carousel-control.right {
  left: auto;
  right: 0;
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);
}
.carousel-control:hover,
.carousel-control:focus {
  outline: 0;
  color: #fff;
  text-decoration: none;
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.carousel-control .icon-prev,
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-left,
.carousel-control .glyphicon-chevron-right {
  position: absolute;
  top: 50%;
  margin-top: -10px;
  z-index: 5;
  display: inline-block;
}
.carousel-control .icon-prev,
.carousel-control .glyphicon-chevron-left {
  left: 50%;
  margin-left: -10px;
}
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-right {
  right: 50%;
  margin-right: -10px;
}
.carousel-control .icon-prev,
.carousel-control .icon-next {
  width: 20px;
  height: 20px;
  line-height: 1;
  font-family: serif;
}
.carousel-control .icon-prev:before {
  content: '\2039';
}
.carousel-control .icon-next:before {
  content: '\203a';
}
.carousel-indicators {
  position: absolute;
  bottom: 10px;
  left: 50%;
  z-index: 15;
  width: 60%;
  margin-left: -30%;
  padding-left: 0;
  list-style: none;
  text-align: center;
}
.carousel-indicators li {
  display: inline-block;
  width: 10px;
  height: 10px;
  margin: 1px;
  text-indent: -999px;
  border: 1px solid #fff;
  border-radius: 10px;
  cursor: pointer;
  background-color: #000 \9;
  background-color: rgba(0, 0, 0, 0);
}
.carousel-indicators .active {
  margin: 0;
  width: 12px;
  height: 12px;
  background-color: #fff;
}
.carousel-caption {
  position: absolute;
  left: 15%;
  right: 15%;
  bottom: 20px;
  z-index: 10;
  padding-top: 20px;
  padding-bottom: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
}
.carousel-caption .btn {
  text-shadow: none;
}
@media screen and (min-width: 768px) {
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-prev,
  .carousel-control .icon-next {
    width: 30px;
    height: 30px;
    margin-top: -10px;
    font-size: 30px;
  }
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .icon-prev {
    margin-left: -10px;
  }
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-next {
    margin-right: -10px;
  }
  .carousel-caption {
    left: 20%;
    right: 20%;
    padding-bottom: 30px;
  }
  .carousel-indicators {
    bottom: 20px;
  }
}
.clearfix:before,
.clearfix:after,
.dl-horizontal dd:before,
.dl-horizontal dd:after,
.container:before,
.container:after,
.container-fluid:before,
.container-fluid:after,
.row:before,
.row:after,
.form-horizontal .form-group:before,
.form-horizontal .form-group:after,
.btn-toolbar:before,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:before,
.btn-group-vertical > .btn-group:after,
.nav:before,
.nav:after,
.navbar:before,
.navbar:after,
.navbar-header:before,
.navbar-header:after,
.navbar-collapse:before,
.navbar-collapse:after,
.pager:before,
.pager:after,
.panel-body:before,
.panel-body:after,
.modal-header:before,
.modal-header:after,
.modal-footer:before,
.modal-footer:after,
.item_buttons:before,
.item_buttons:after {
  content: " ";
  display: table;
}
.clearfix:after,
.dl-horizontal dd:after,
.container:after,
.container-fluid:after,
.row:after,
.form-horizontal .form-group:after,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:after,
.nav:after,
.navbar:after,
.navbar-header:after,
.navbar-collapse:after,
.pager:after,
.panel-body:after,
.modal-header:after,
.modal-footer:after,
.item_buttons:after {
  clear: both;
}
.center-block {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.pull-right {
  float: right !important;
}
.pull-left {
  float: left !important;
}
.hide {
  display: none !important;
}
.show {
  display: block !important;
}
.invisible {
  visibility: hidden;
}
.text-hide {
  font: 0/0 a;
  color: transparent;
  text-shadow: none;
  background-color: transparent;
  border: 0;
}
.hidden {
  display: none !important;
}
.affix {
  position: fixed;
}
@-ms-viewport {
  width: device-width;
}
.visible-xs,
.visible-sm,
.visible-md,
.visible-lg {
  display: none !important;
}
.visible-xs-block,
.visible-xs-inline,
.visible-xs-inline-block,
.visible-sm-block,
.visible-sm-inline,
.visible-sm-inline-block,
.visible-md-block,
.visible-md-inline,
.visible-md-inline-block,
.visible-lg-block,
.visible-lg-inline,
.visible-lg-inline-block {
  display: none !important;
}
@media (max-width: 767px) {
  .visible-xs {
    display: block !important;
  }
  table.visible-xs {
    display: table !important;
  }
  tr.visible-xs {
    display: table-row !important;
  }
  th.visible-xs,
  td.visible-xs {
    display: table-cell !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-block {
    display: block !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline {
    display: inline !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm {
    display: block !important;
  }
  table.visible-sm {
    display: table !important;
  }
  tr.visible-sm {
    display: table-row !important;
  }
  th.visible-sm,
  td.visible-sm {
    display: table-cell !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-block {
    display: block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline {
    display: inline !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md {
    display: block !important;
  }
  table.visible-md {
    display: table !important;
  }
  tr.visible-md {
    display: table-row !important;
  }
  th.visible-md,
  td.visible-md {
    display: table-cell !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-block {
    display: block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline {
    display: inline !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg {
    display: block !important;
  }
  table.visible-lg {
    display: table !important;
  }
  tr.visible-lg {
    display: table-row !important;
  }
  th.visible-lg,
  td.visible-lg {
    display: table-cell !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-block {
    display: block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline {
    display: inline !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline-block {
    display: inline-block !important;
  }
}
@media (max-width: 767px) {
  .hidden-xs {
    display: none !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .hidden-sm {
    display: none !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .hidden-md {
    display: none !important;
  }
}
@media (min-width: 1200px) {
  .hidden-lg {
    display: none !important;
  }
}
.visible-print {
  display: none !important;
}
@media print {
  .visible-print {
    display: block !important;
  }
  table.visible-print {
    display: table !important;
  }
  tr.visible-print {
    display: table-row !important;
  }
  th.visible-print,
  td.visible-print {
    display: table-cell !important;
  }
}
.visible-print-block {
  display: none !important;
}
@media print {
  .visible-print-block {
    display: block !important;
  }
}
.visible-print-inline {
  display: none !important;
}
@media print {
  .visible-print-inline {
    display: inline !important;
  }
}
.visible-print-inline-block {
  display: none !important;
}
@media print {
  .visible-print-inline-block {
    display: inline-block !important;
  }
}
@media print {
  .hidden-print {
    display: none !important;
  }
}
/*!
*
* Font Awesome
*
*/
/*!
 *  Font Awesome 4.2.0 by @davegandy - http://fontawesome.io - @fontawesome
 *  License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)
 */
/* FONT PATH
 * -------------------------- */
@font-face {
  font-family: 'FontAwesome';
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?v=4.2.0');
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.2.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.2.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.2.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.2.0#fontawesomeregular') format('svg');
  font-weight: normal;
  font-style: normal;
}
.fa {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
}
/* makes the font 33% larger relative to the icon container */
.fa-lg {
  font-size: 1.33333333em;
  line-height: 0.75em;
  vertical-align: -15%;
}
.fa-2x {
  font-size: 2em;
}
.fa-3x {
  font-size: 3em;
}
.fa-4x {
  font-size: 4em;
}
.fa-5x {
  font-size: 5em;
}
.fa-fw {
  width: 1.28571429em;
  text-align: center;
}
.fa-ul {
  padding-left: 0;
  margin-left: 2.14285714em;
  list-style-type: none;
}
.fa-ul > li {
  position: relative;
}
.fa-li {
  position: absolute;
  left: -2.14285714em;
  width: 2.14285714em;
  top: 0.14285714em;
  text-align: center;
}
.fa-li.fa-lg {
  left: -1.85714286em;
}
.fa-border {
  padding: .2em .25em .15em;
  border: solid 0.08em #eee;
  border-radius: .1em;
}
.pull-right {
  float: right;
}
.pull-left {
  float: left;
}
.fa.pull-left {
  margin-right: .3em;
}
.fa.pull-right {
  margin-left: .3em;
}
.fa-spin {
  -webkit-animation: fa-spin 2s infinite linear;
  animation: fa-spin 2s infinite linear;
}
@-webkit-keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
@keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
.fa-rotate-90 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=1);
  -webkit-transform: rotate(90deg);
  -ms-transform: rotate(90deg);
  transform: rotate(90deg);
}
.fa-rotate-180 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=2);
  -webkit-transform: rotate(180deg);
  -ms-transform: rotate(180deg);
  transform: rotate(180deg);
}
.fa-rotate-270 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=3);
  -webkit-transform: rotate(270deg);
  -ms-transform: rotate(270deg);
  transform: rotate(270deg);
}
.fa-flip-horizontal {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1);
  -webkit-transform: scale(-1, 1);
  -ms-transform: scale(-1, 1);
  transform: scale(-1, 1);
}
.fa-flip-vertical {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1);
  -webkit-transform: scale(1, -1);
  -ms-transform: scale(1, -1);
  transform: scale(1, -1);
}
:root .fa-rotate-90,
:root .fa-rotate-180,
:root .fa-rotate-270,
:root .fa-flip-horizontal,
:root .fa-flip-vertical {
  filter: none;
}
.fa-stack {
  position: relative;
  display: inline-block;
  width: 2em;
  height: 2em;
  line-height: 2em;
  vertical-align: middle;
}
.fa-stack-1x,
.fa-stack-2x {
  position: absolute;
  left: 0;
  width: 100%;
  text-align: center;
}
.fa-stack-1x {
  line-height: inherit;
}
.fa-stack-2x {
  font-size: 2em;
}
.fa-inverse {
  color: #fff;
}
/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
   readers do not read off random characters that represent icons */
.fa-glass:before {
  content: "\f000";
}
.fa-music:before {
  content: "\f001";
}
.fa-search:before {
  content: "\f002";
}
.fa-envelope-o:before {
  content: "\f003";
}
.fa-heart:before {
  content: "\f004";
}
.fa-star:before {
  content: "\f005";
}
.fa-star-o:before {
  content: "\f006";
}
.fa-user:before {
  content: "\f007";
}
.fa-film:before {
  content: "\f008";
}
.fa-th-large:before {
  content: "\f009";
}
.fa-th:before {
  content: "\f00a";
}
.fa-th-list:before {
  content: "\f00b";
}
.fa-check:before {
  content: "\f00c";
}
.fa-remove:before,
.fa-close:before,
.fa-times:before {
  content: "\f00d";
}
.fa-search-plus:before {
  content: "\f00e";
}
.fa-search-minus:before {
  content: "\f010";
}
.fa-power-off:before {
  content: "\f011";
}
.fa-signal:before {
  content: "\f012";
}
.fa-gear:before,
.fa-cog:before {
  content: "\f013";
}
.fa-trash-o:before {
  content: "\f014";
}
.fa-home:before {
  content: "\f015";
}
.fa-file-o:before {
  content: "\f016";
}
.fa-clock-o:before {
  content: "\f017";
}
.fa-road:before {
  content: "\f018";
}
.fa-download:before {
  content: "\f019";
}
.fa-arrow-circle-o-down:before {
  content: "\f01a";
}
.fa-arrow-circle-o-up:before {
  content: "\f01b";
}
.fa-inbox:before {
  content: "\f01c";
}
.fa-play-circle-o:before {
  content: "\f01d";
}
.fa-rotate-right:before,
.fa-repeat:before {
  content: "\f01e";
}
.fa-refresh:before {
  content: "\f021";
}
.fa-list-alt:before {
  content: "\f022";
}
.fa-lock:before {
  content: "\f023";
}
.fa-flag:before {
  content: "\f024";
}
.fa-headphones:before {
  content: "\f025";
}
.fa-volume-off:before {
  content: "\f026";
}
.fa-volume-down:before {
  content: "\f027";
}
.fa-volume-up:before {
  content: "\f028";
}
.fa-qrcode:before {
  content: "\f029";
}
.fa-barcode:before {
  content: "\f02a";
}
.fa-tag:before {
  content: "\f02b";
}
.fa-tags:before {
  content: "\f02c";
}
.fa-book:before {
  content: "\f02d";
}
.fa-bookmark:before {
  content: "\f02e";
}
.fa-print:before {
  content: "\f02f";
}
.fa-camera:before {
  content: "\f030";
}
.fa-font:before {
  content: "\f031";
}
.fa-bold:before {
  content: "\f032";
}
.fa-italic:before {
  content: "\f033";
}
.fa-text-height:before {
  content: "\f034";
}
.fa-text-width:before {
  content: "\f035";
}
.fa-align-left:before {
  content: "\f036";
}
.fa-align-center:before {
  content: "\f037";
}
.fa-align-right:before {
  content: "\f038";
}
.fa-align-justify:before {
  content: "\f039";
}
.fa-list:before {
  content: "\f03a";
}
.fa-dedent:before,
.fa-outdent:before {
  content: "\f03b";
}
.fa-indent:before {
  content: "\f03c";
}
.fa-video-camera:before {
  content: "\f03d";
}
.fa-photo:before,
.fa-image:before,
.fa-picture-o:before {
  content: "\f03e";
}
.fa-pencil:before {
  content: "\f040";
}
.fa-map-marker:before {
  content: "\f041";
}
.fa-adjust:before {
  content: "\f042";
}
.fa-tint:before {
  content: "\f043";
}
.fa-edit:before,
.fa-pencil-square-o:before {
  content: "\f044";
}
.fa-share-square-o:before {
  content: "\f045";
}
.fa-check-square-o:before {
  content: "\f046";
}
.fa-arrows:before {
  content: "\f047";
}
.fa-step-backward:before {
  content: "\f048";
}
.fa-fast-backward:before {
  content: "\f049";
}
.fa-backward:before {
  content: "\f04a";
}
.fa-play:before {
  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:before {
  content: "\f09a";
}
.fa-github:before {
  content: "\f09b";
}
.fa-unlock:before {
  content: "\f09c";
}
.fa-credit-card:before {
  content: "\f09d";
}
.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 {
  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: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-rebel:before {
  content: "\f1d0";
}
.fa-ge:before,
.fa-empire:before {
  content: "\f1d1";
}
.fa-git-square:before {
  content: "\f1d2";
}
.fa-git:before {
  content: "\f1d3";
}
.fa-hacker-news:before {
  content: "\f1d4";
}
.fa-tencent-weibo:before {
  content: "\f1d5";
}
.fa-qq:before {
  content: "\f1d6";
}
.fa-wechat:before,
.fa-weixin:before {
  content: "\f1d7";
}
.fa-send:before,
.fa-paper-plane:before {
  content: "\f1d8";
}
.fa-send-o:before,
.fa-paper-plane-o:before {
  content: "\f1d9";
}
.fa-history:before {
  content: "\f1da";
}
.fa-circle-thin:before {
  content: "\f1db";
}
.fa-header:before {
  content: "\f1dc";
}
.fa-paragraph:before {
  content: "\f1dd";
}
.fa-sliders:before {
  content: "\f1de";
}
.fa-share-alt:before {
  content: "\f1e0";
}
.fa-share-alt-square:before {
  content: "\f1e1";
}
.fa-bomb:before {
  content: "\f1e2";
}
.fa-soccer-ball-o:before,
.fa-futbol-o:before {
  content: "\f1e3";
}
.fa-tty:before {
  content: "\f1e4";
}
.fa-binoculars:before {
  content: "\f1e5";
}
.fa-plug:before {
  content: "\f1e6";
}
.fa-slideshare:before {
  content: "\f1e7";
}
.fa-twitch:before {
  content: "\f1e8";
}
.fa-yelp:before {
  content: "\f1e9";
}
.fa-newspaper-o:before {
  content: "\f1ea";
}
.fa-wifi:before {
  content: "\f1eb";
}
.fa-calculator:before {
  content: "\f1ec";
}
.fa-paypal:before {
  content: "\f1ed";
}
.fa-google-wallet:before {
  content: "\f1ee";
}
.fa-cc-visa:before {
  content: "\f1f0";
}
.fa-cc-mastercard:before {
  content: "\f1f1";
}
.fa-cc-discover:before {
  content: "\f1f2";
}
.fa-cc-amex:before {
  content: "\f1f3";
}
.fa-cc-paypal:before {
  content: "\f1f4";
}
.fa-cc-stripe:before {
  content: "\f1f5";
}
.fa-bell-slash:before {
  content: "\f1f6";
}
.fa-bell-slash-o:before {
  content: "\f1f7";
}
.fa-trash:before {
  content: "\f1f8";
}
.fa-copyright:before {
  content: "\f1f9";
}
.fa-at:before {
  content: "\f1fa";
}
.fa-eyedropper:before {
  content: "\f1fb";
}
.fa-paint-brush:before {
  content: "\f1fc";
}
.fa-birthday-cake:before {
  content: "\f1fd";
}
.fa-area-chart:before {
  content: "\f1fe";
}
.fa-pie-chart:before {
  content: "\f200";
}
.fa-line-chart:before {
  content: "\f201";
}
.fa-lastfm:before {
  content: "\f202";
}
.fa-lastfm-square:before {
  content: "\f203";
}
.fa-toggle-off:before {
  content: "\f204";
}
.fa-toggle-on:before {
  content: "\f205";
}
.fa-bicycle:before {
  content: "\f206";
}
.fa-bus:before {
  content: "\f207";
}
.fa-ioxhost:before {
  content: "\f208";
}
.fa-angellist:before {
  content: "\f209";
}
.fa-cc:before {
  content: "\f20a";
}
.fa-shekel:before,
.fa-sheqel:before,
.fa-ils:before {
  content: "\f20b";
}
.fa-meanpath:before {
  content: "\f20c";
}
/*!
*
* IPython base
*
*/
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
code {
  color: #000;
}
pre {
  font-size: inherit;
  line-height: inherit;
}
label {
  font-weight: normal;
}
/* Make the page background atleast 100% the height of the view port */
/* Make the page itself atleast 70% the height of the view port */
.border-box-sizing {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.corner-all {
  border-radius: 2px;
}
.no-padding {
  padding: 0px;
}
/* Flexible box model classes */
/* Taken from Alex Russell http://infrequently.org/2009/08/css-3-progress/ */
/* This file is a compatability layer.  It allows the usage of flexible box 
model layouts accross multiple browsers, including older browsers.  The newest,
universal implementation of the flexible box model is used when available (see
`Modern browsers` comments below).  Browsers that are known to implement this 
new spec completely include:

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

Browsers not listed, including Safari, are supported via the styling under the
`Old browsers` comments below.
*/
.hbox {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
.hbox > * {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
}
.vbox {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
.vbox > * {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
}
.hbox.reverse,
.vbox.reverse,
.reverse {
  /* Old browsers */
  -webkit-box-direction: reverse;
  -moz-box-direction: reverse;
  box-direction: reverse;
  /* Modern browsers */
  flex-direction: row-reverse;
}
.hbox.box-flex0,
.vbox.box-flex0,
.box-flex0 {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
  width: auto;
}
.hbox.box-flex1,
.vbox.box-flex1,
.box-flex1 {
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
.hbox.box-flex,
.vbox.box-flex,
.box-flex {
  /* Old browsers */
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
.hbox.box-flex2,
.vbox.box-flex2,
.box-flex2 {
  /* Old browsers */
  -webkit-box-flex: 2;
  -moz-box-flex: 2;
  box-flex: 2;
  /* Modern browsers */
  flex: 2;
}
.box-group1 {
  /*  Deprecated */
  -webkit-box-flex-group: 1;
  -moz-box-flex-group: 1;
  box-flex-group: 1;
}
.box-group2 {
  /* Deprecated */
  -webkit-box-flex-group: 2;
  -moz-box-flex-group: 2;
  box-flex-group: 2;
}
.hbox.start,
.vbox.start,
.start {
  /* Old browsers */
  -webkit-box-pack: start;
  -moz-box-pack: start;
  box-pack: start;
  /* Modern browsers */
  justify-content: flex-start;
}
.hbox.end,
.vbox.end,
.end {
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
}
.hbox.center,
.vbox.center,
.center {
  /* Old browsers */
  -webkit-box-pack: center;
  -moz-box-pack: center;
  box-pack: center;
  /* Modern browsers */
  justify-content: center;
}
.hbox.baseline,
.vbox.baseline,
.baseline {
  /* Old browsers */
  -webkit-box-pack: baseline;
  -moz-box-pack: baseline;
  box-pack: baseline;
  /* Modern browsers */
  justify-content: baseline;
}
.hbox.stretch,
.vbox.stretch,
.stretch {
  /* Old browsers */
  -webkit-box-pack: stretch;
  -moz-box-pack: stretch;
  box-pack: stretch;
  /* Modern browsers */
  justify-content: stretch;
}
.hbox.align-start,
.vbox.align-start,
.align-start {
  /* Old browsers */
  -webkit-box-align: start;
  -moz-box-align: start;
  box-align: start;
  /* Modern browsers */
  align-items: flex-start;
}
.hbox.align-end,
.vbox.align-end,
.align-end {
  /* Old browsers */
  -webkit-box-align: end;
  -moz-box-align: end;
  box-align: end;
  /* Modern browsers */
  align-items: flex-end;
}
.hbox.align-center,
.vbox.align-center,
.align-center {
  /* Old browsers */
  -webkit-box-align: center;
  -moz-box-align: center;
  box-align: center;
  /* Modern browsers */
  align-items: center;
}
.hbox.align-baseline,
.vbox.align-baseline,
.align-baseline {
  /* Old browsers */
  -webkit-box-align: baseline;
  -moz-box-align: baseline;
  box-align: baseline;
  /* Modern browsers */
  align-items: baseline;
}
.hbox.align-stretch,
.vbox.align-stretch,
.align-stretch {
  /* Old browsers */
  -webkit-box-align: stretch;
  -moz-box-align: stretch;
  box-align: stretch;
  /* Modern browsers */
  align-items: stretch;
}
div.error {
  margin: 2em;
  text-align: center;
}
div.error > h1 {
  font-size: 500%;
  line-height: normal;
}
div.error > p {
  font-size: 200%;
  line-height: normal;
}
div.traceback-wrapper {
  text-align: left;
  max-width: 800px;
  margin: auto;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
body {
  background-color: #fff;
  /* This makes sure that the body covers the entire window and needs to
       be in a different element than the display: box in wrapper below */
  position: absolute;
  left: 0px;
  right: 0px;
  top: 0px;
  bottom: 0px;
  overflow: visible;
}
body > #header {
  /* Initially hidden to prevent FLOUC */
  display: none;
  background-color: #fff;
  /* Display over codemirror */
  position: relative;
  z-index: 100;
}
body > #header #header-container {
  padding-bottom: 5px;
  padding-top: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
body > #header .header-bar {
  width: 100%;
  height: 1px;
  background: #e7e7e7;
  margin-bottom: -1px;
}
@media print {
  body > #header {
    display: none !important;
  }
}
#header-spacer {
  width: 100%;
  visibility: hidden;
}
@media print {
  #header-spacer {
    display: none;
  }
}
#ipython_notebook {
  padding-left: 0px;
  padding-top: 1px;
  padding-bottom: 1px;
}
@media (max-width: 991px) {
  #ipython_notebook {
    margin-left: 10px;
  }
}
[dir="rtl"] #ipython_notebook {
  float: right !important;
}
#noscript {
  width: auto;
  padding-top: 16px;
  padding-bottom: 16px;
  text-align: center;
  font-size: 22px;
  color: red;
  font-weight: bold;
}
#ipython_notebook img {
  height: 28px;
}
#site {
  width: 100%;
  display: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  overflow: auto;
}
@media print {
  #site {
    height: auto !important;
  }
}
/* Smaller buttons */
.ui-button .ui-button-text {
  padding: 0.2em 0.8em;
  font-size: 77%;
}
input.ui-button {
  padding: 0.3em 0.9em;
}
span#login_widget {
  float: right;
}
span#login_widget > .button,
#logout {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
span#login_widget > .button:focus,
#logout:focus,
span#login_widget > .button.focus,
#logout.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
span#login_widget > .button:hover,
#logout:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
span#login_widget > .button:active,
#logout:active,
span#login_widget > .button.active,
#logout.active,
.open > .dropdown-togglespan#login_widget > .button,
.open > .dropdown-toggle#logout {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
span#login_widget > .button:active:hover,
#logout:active:hover,
span#login_widget > .button.active:hover,
#logout.active:hover,
.open > .dropdown-togglespan#login_widget > .button:hover,
.open > .dropdown-toggle#logout:hover,
span#login_widget > .button:active:focus,
#logout:active:focus,
span#login_widget > .button.active:focus,
#logout.active:focus,
.open > .dropdown-togglespan#login_widget > .button:focus,
.open > .dropdown-toggle#logout:focus,
span#login_widget > .button:active.focus,
#logout:active.focus,
span#login_widget > .button.active.focus,
#logout.active.focus,
.open > .dropdown-togglespan#login_widget > .button.focus,
.open > .dropdown-toggle#logout.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
span#login_widget > .button:active,
#logout:active,
span#login_widget > .button.active,
#logout.active,
.open > .dropdown-togglespan#login_widget > .button,
.open > .dropdown-toggle#logout {
  background-image: none;
}
span#login_widget > .button.disabled:hover,
#logout.disabled:hover,
span#login_widget > .button[disabled]:hover,
#logout[disabled]:hover,
fieldset[disabled] span#login_widget > .button:hover,
fieldset[disabled] #logout:hover,
span#login_widget > .button.disabled:focus,
#logout.disabled:focus,
span#login_widget > .button[disabled]:focus,
#logout[disabled]:focus,
fieldset[disabled] span#login_widget > .button:focus,
fieldset[disabled] #logout:focus,
span#login_widget > .button.disabled.focus,
#logout.disabled.focus,
span#login_widget > .button[disabled].focus,
#logout[disabled].focus,
fieldset[disabled] span#login_widget > .button.focus,
fieldset[disabled] #logout.focus {
  background-color: #fff;
  border-color: #ccc;
}
span#login_widget > .button .badge,
#logout .badge {
  color: #fff;
  background-color: #333;
}
.nav-header {
  text-transform: none;
}
#header > span {
  margin-top: 10px;
}
.modal_stretch .modal-dialog {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  min-height: 80vh;
}
.modal_stretch .modal-dialog .modal-body {
  max-height: calc(100vh - 200px);
  overflow: auto;
  flex: 1;
}
@media (min-width: 768px) {
  .modal .modal-dialog {
    width: 700px;
  }
}
@media (min-width: 768px) {
  select.form-control {
    margin-left: 12px;
    margin-right: 12px;
  }
}
/*!
*
* IPython auth
*
*/
.center-nav {
  display: inline-block;
  margin-bottom: -4px;
}
/*!
*
* IPython tree view
*
*/
/* We need an invisible input field on top of the sentense*/
/* "Drag file onto the list ..." */
.alternate_upload {
  background-color: none;
  display: inline;
}
.alternate_upload.form {
  padding: 0;
  margin: 0;
}
.alternate_upload input.fileinput {
  text-align: center;
  vertical-align: middle;
  display: inline;
  opacity: 0;
  z-index: 2;
  width: 12ex;
  margin-right: -12ex;
}
.alternate_upload .btn-upload {
  height: 22px;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
[dir="rtl"] #tabs li {
  float: right;
}
ul#tabs {
  margin-bottom: 4px;
}
[dir="rtl"] ul#tabs {
  margin-right: 0px;
}
ul#tabs a {
  padding-top: 6px;
  padding-bottom: 4px;
}
ul.breadcrumb a:focus,
ul.breadcrumb a:hover {
  text-decoration: none;
}
ul.breadcrumb i.icon-home {
  font-size: 16px;
  margin-right: 4px;
}
ul.breadcrumb span {
  color: #5e5e5e;
}
.list_toolbar {
  padding: 4px 0 4px 0;
  vertical-align: middle;
}
.list_toolbar .tree-buttons {
  padding-top: 1px;
}
[dir="rtl"] .list_toolbar .tree-buttons {
  float: left !important;
}
[dir="rtl"] .list_toolbar .pull-right {
  padding-top: 1px;
  float: left !important;
}
[dir="rtl"] .list_toolbar .pull-left {
  float: right !important;
}
.dynamic-buttons {
  padding-top: 3px;
  display: inline-block;
}
.list_toolbar [class*="span"] {
  min-height: 24px;
}
.list_header {
  font-weight: bold;
  background-color: #EEE;
}
.list_placeholder {
  font-weight: bold;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
}
.list_container {
  margin-top: 4px;
  margin-bottom: 20px;
  border: 1px solid #ddd;
  border-radius: 2px;
}
.list_container > div {
  border-bottom: 1px solid #ddd;
}
.list_container > div:hover .list-item {
  background-color: red;
}
.list_container > div:last-child {
  border: none;
}
.list_item:hover .list_item {
  background-color: #ddd;
}
.list_item a {
  text-decoration: none;
}
.list_item:hover {
  background-color: #fafafa;
}
.list_header > div,
.list_item > div {
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
.list_header > div input,
.list_item > div input {
  margin-right: 7px;
  margin-left: 14px;
  vertical-align: baseline;
  line-height: 22px;
  position: relative;
  top: -1px;
}
.list_header > div .item_link,
.list_item > div .item_link {
  margin-left: -1px;
  vertical-align: baseline;
  line-height: 22px;
}
.new-file input[type=checkbox] {
  visibility: hidden;
}
.item_name {
  line-height: 22px;
  height: 24px;
}
.item_icon {
  font-size: 14px;
  color: #5e5e5e;
  margin-right: 7px;
  margin-left: 7px;
  line-height: 22px;
  vertical-align: baseline;
}
.item_buttons {
  line-height: 1em;
  margin-left: -5px;
}
.item_buttons .btn,
.item_buttons .btn-group,
.item_buttons .input-group {
  float: left;
}
.item_buttons > .btn,
.item_buttons > .btn-group,
.item_buttons > .input-group {
  margin-left: 5px;
}
.item_buttons .btn {
  min-width: 13ex;
}
.item_buttons .running-indicator {
  padding-top: 4px;
  color: #5cb85c;
}
.item_buttons .kernel-name {
  padding-top: 4px;
  color: #5bc0de;
  margin-right: 7px;
  float: left;
}
.toolbar_info {
  height: 24px;
  line-height: 24px;
}
.list_item input:not([type=checkbox]) {
  padding-top: 3px;
  padding-bottom: 3px;
  height: 22px;
  line-height: 14px;
  margin: 0px;
}
.highlight_text {
  color: blue;
}
#project_name {
  display: inline-block;
  padding-left: 7px;
  margin-left: -2px;
}
#project_name > .breadcrumb {
  padding: 0px;
  margin-bottom: 0px;
  background-color: transparent;
  font-weight: bold;
}
#tree-selector {
  padding-right: 0px;
}
[dir="rtl"] #tree-selector a {
  float: right;
}
#button-select-all {
  min-width: 50px;
}
#select-all {
  margin-left: 7px;
  margin-right: 2px;
}
.menu_icon {
  margin-right: 2px;
}
.tab-content .row {
  margin-left: 0px;
  margin-right: 0px;
}
.folder_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f114";
}
.folder_icon:before.pull-left {
  margin-right: .3em;
}
.folder_icon:before.pull-right {
  margin-left: .3em;
}
.notebook_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f02d";
  position: relative;
  top: -1px;
}
.notebook_icon:before.pull-left {
  margin-right: .3em;
}
.notebook_icon:before.pull-right {
  margin-left: .3em;
}
.running_notebook_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f02d";
  position: relative;
  top: -1px;
  color: #5cb85c;
}
.running_notebook_icon:before.pull-left {
  margin-right: .3em;
}
.running_notebook_icon:before.pull-right {
  margin-left: .3em;
}
.file_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f016";
  position: relative;
  top: -2px;
}
.file_icon:before.pull-left {
  margin-right: .3em;
}
.file_icon:before.pull-right {
  margin-left: .3em;
}
#notebook_toolbar .pull-right {
  padding-top: 0px;
  margin-right: -1px;
}
ul#new-menu {
  left: auto;
  right: 0;
}
[dir="rtl"] #new-menu {
  text-align: right;
}
.kernel-menu-icon {
  padding-right: 12px;
  width: 24px;
  content: "\f096";
}
.kernel-menu-icon:before {
  content: "\f096";
}
.kernel-menu-icon-current:before {
  content: "\f00c";
}
#tab_content {
  padding-top: 20px;
}
#running .panel-group .panel {
  margin-top: 3px;
  margin-bottom: 1em;
}
#running .panel-group .panel .panel-heading {
  background-color: #EEE;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
#running .panel-group .panel .panel-heading a:focus,
#running .panel-group .panel .panel-heading a:hover {
  text-decoration: none;
}
#running .panel-group .panel .panel-body {
  padding: 0px;
}
#running .panel-group .panel .panel-body .list_container {
  margin-top: 0px;
  margin-bottom: 0px;
  border: 0px;
  border-radius: 0px;
}
#running .panel-group .panel .panel-body .list_container .list_item {
  border-bottom: 1px solid #ddd;
}
#running .panel-group .panel .panel-body .list_container .list_item:last-child {
  border-bottom: 0px;
}
[dir="rtl"] #running .col-sm-8 {
  float: right !important;
}
.delete-button {
  display: none;
}
.duplicate-button {
  display: none;
}
.rename-button {
  display: none;
}
.shutdown-button {
  display: none;
}
.dynamic-instructions {
  display: inline-block;
  padding-top: 4px;
}
/*!
*
* IPython text editor webapp
*
*/
.selected-keymap i.fa {
  padding: 0px 5px;
}
.selected-keymap i.fa:before {
  content: "\f00c";
}
#mode-menu {
  overflow: auto;
  max-height: 20em;
}
.edit_app #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.edit_app #menubar .navbar {
  /* Use a negative 1 bottom margin, so the border overlaps the border of the
    header */
  margin-bottom: -1px;
}
.dirty-indicator {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator.pull-left {
  margin-right: .3em;
}
.dirty-indicator.pull-right {
  margin-left: .3em;
}
.dirty-indicator-dirty {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator-dirty.pull-left {
  margin-right: .3em;
}
.dirty-indicator-dirty.pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator-clean.pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean.pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f00c";
}
.dirty-indicator-clean:before.pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean:before.pull-right {
  margin-left: .3em;
}
#filename {
  font-size: 16pt;
  display: table;
  padding: 0px 5px;
}
#current-mode {
  padding-left: 5px;
  padding-right: 5px;
}
#texteditor-backdrop {
  padding-top: 20px;
  padding-bottom: 20px;
}
@media not print {
  #texteditor-backdrop {
    background-color: #EEE;
  }
}
@media print {
  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #fff;
  }
}
@media not print {
  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #fff;
  }
}
@media not print {
  #texteditor-backdrop #texteditor-container {
    padding: 0px;
    background-color: #fff;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
/*!
*
* IPython notebook
*
*/
/* CSS font colors for translated ANSI colors. */
.ansibold {
  font-weight: bold;
}
/* use dark versions for foreground, to improve visibility */
.ansiblack {
  color: black;
}
.ansired {
  color: darkred;
}
.ansigreen {
  color: darkgreen;
}
.ansiyellow {
  color: #c4a000;
}
.ansiblue {
  color: darkblue;
}
.ansipurple {
  color: darkviolet;
}
.ansicyan {
  color: steelblue;
}
.ansigray {
  color: gray;
}
/* and light for background, for the same reason */
.ansibgblack {
  background-color: black;
}
.ansibgred {
  background-color: red;
}
.ansibggreen {
  background-color: green;
}
.ansibgyellow {
  background-color: yellow;
}
.ansibgblue {
  background-color: blue;
}
.ansibgpurple {
  background-color: magenta;
}
.ansibgcyan {
  background-color: cyan;
}
.ansibggray {
  background-color: gray;
}
div.cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  border-radius: 2px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  border-width: 1px;
  border-style: solid;
  border-color: transparent;
  width: 100%;
  padding: 5px;
  /* This acts as a spacer between cells, that is outside the border */
  margin: 0px;
  outline: none;
  border-left-width: 1px;
  padding-left: 5px;
  background: linear-gradient(to right, transparent -40px, transparent 1px, transparent 1px, transparent 100%);
}
div.cell.jupyter-soft-selected {
  border-left-color: #90CAF9;
  border-left-color: #E3F2FD;
  border-left-width: 1px;
  padding-left: 5px;
  border-right-color: #E3F2FD;
  border-right-width: 1px;
  background: #E3F2FD;
}
@media print {
  div.cell.jupyter-soft-selected {
    border-color: transparent;
  }
}
div.cell.selected {
  border-color: #ababab;
  border-left-width: 0px;
  padding-left: 6px;
  background: linear-gradient(to right, #42A5F5 -40px, #42A5F5 5px, transparent 5px, transparent 100%);
}
@media print {
  div.cell.selected {
    border-color: transparent;
  }
}
div.cell.selected.jupyter-soft-selected {
  border-left-width: 0;
  padding-left: 6px;
  background: linear-gradient(to right, #42A5F5 -40px, #42A5F5 7px, #E3F2FD 7px, #E3F2FD 100%);
}
.edit_mode div.cell.selected {
  border-color: #66BB6A;
  border-left-width: 0px;
  padding-left: 6px;
  background: linear-gradient(to right, #66BB6A -40px, #66BB6A 5px, transparent 5px, transparent 100%);
}
@media print {
  .edit_mode div.cell.selected {
    border-color: transparent;
  }
}
.prompt {
  /* This needs to be wide enough for 3 digit prompt numbers: In[100]: */
  min-width: 14ex;
  /* This padding is tuned to match the padding on the CodeMirror editor. */
  padding: 0.4em;
  margin: 0px;
  font-family: monospace;
  text-align: right;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
  /* Don't highlight prompt number selection */
  -webkit-touch-callout: none;
  -webkit-user-select: none;
  -khtml-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
  /* Use default cursor */
  cursor: default;
}
@media (max-width: 540px) {
  .prompt {
    text-align: left;
  }
}
div.inner_cell {
  min-width: 0;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
/* input_area and input_prompt must match in top border and margin for alignment */
div.input_area {
  border: 1px solid #cfcfcf;
  border-radius: 2px;
  background: #f7f7f7;
  line-height: 1.21429em;
}
/* This is needed so that empty prompt areas can collapse to zero height when there
   is no content in the output_subarea and the prompt. The main purpose of this is
   to make sure that empty JavaScript output_subareas have no height. */
div.prompt:empty {
  padding-top: 0;
  padding-bottom: 0;
}
div.unrecognized_cell {
  padding: 5px 5px 5px 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.unrecognized_cell .inner_cell {
  border-radius: 2px;
  padding: 5px;
  font-weight: bold;
  color: red;
  border: 1px solid #cfcfcf;
  background: #eaeaea;
}
div.unrecognized_cell .inner_cell a {
  color: inherit;
  text-decoration: none;
}
div.unrecognized_cell .inner_cell a:hover {
  color: inherit;
  text-decoration: none;
}
@media (max-width: 540px) {
  div.unrecognized_cell > div.prompt {
    display: none;
  }
}
div.code_cell {
  /* avoid page breaking on code cells when printing */
}
@media print {
  div.code_cell {
    page-break-inside: avoid;
  }
}
/* any special styling for code cells that are currently running goes here */
div.input {
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.input {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
/* input_area and input_prompt must match in top border and margin for alignment */
div.input_prompt {
  color: #303F9F;
  border-top: 1px solid transparent;
}
div.input_area > div.highlight {
  margin: 0.4em;
  border: none;
  padding: 0px;
  background-color: transparent;
}
div.input_area > div.highlight > pre {
  margin: 0px;
  border: none;
  padding: 0px;
  background-color: transparent;
}
/* The following gets added to the <head> if it is detected that the user has a
 * monospace font with inconsistent normal/bold/italic height.  See
 * notebookmain.js.  Such fonts will have keywords vertically offset with
 * respect to the rest of the text.  The user should select a better font.
 * See: https://github.com/ipython/ipython/issues/1503
 *
 * .CodeMirror span {
 *      vertical-align: bottom;
 * }
 */
.CodeMirror {
  line-height: 1.21429em;
  /* Changed from 1em to our global default */
  font-size: 14px;
  height: auto;
  /* Changed to auto to autogrow */
  background: none;
  /* Changed from white to allow our bg to show through */
}
.CodeMirror-scroll {
  /*  The CodeMirror docs are a bit fuzzy on if overflow-y should be hidden or visible.*/
  /*  We have found that if it is visible, vertical scrollbars appear with font size changes.*/
  overflow-y: hidden;
  overflow-x: auto;
}
.CodeMirror-lines {
  /* In CM2, this used to be 0.4em, but in CM3 it went to 4px. We need the em value because */
  /* we have set a different line-height and want this to scale with that. */
  padding: 0.4em;
}
.CodeMirror-linenumber {
  padding: 0 8px 0 4px;
}
.CodeMirror-gutters {
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.CodeMirror pre {
  /* In CM3 this went to 4px from 0 in CM2. We need the 0 value because of how we size */
  /* .CodeMirror-lines */
  padding: 0;
  border: 0;
  border-radius: 0;
}
/*

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

*/
.highlight-base {
  color: #000;
}
.highlight-variable {
  color: #000;
}
.highlight-variable-2 {
  color: #1a1a1a;
}
.highlight-variable-3 {
  color: #333333;
}
.highlight-string {
  color: #BA2121;
}
.highlight-comment {
  color: #408080;
  font-style: italic;
}
.highlight-number {
  color: #080;
}
.highlight-atom {
  color: #88F;
}
.highlight-keyword {
  color: #008000;
  font-weight: bold;
}
.highlight-builtin {
  color: #008000;
}
.highlight-error {
  color: #f00;
}
.highlight-operator {
  color: #AA22FF;
  font-weight: bold;
}
.highlight-meta {
  color: #AA22FF;
}
/* previously not defined, copying from default codemirror */
.highlight-def {
  color: #00f;
}
.highlight-string-2 {
  color: #f50;
}
.highlight-qualifier {
  color: #555;
}
.highlight-bracket {
  color: #997;
}
.highlight-tag {
  color: #170;
}
.highlight-attribute {
  color: #00c;
}
.highlight-header {
  color: blue;
}
.highlight-quote {
  color: #090;
}
.highlight-link {
  color: #00c;
}
/* apply the same style to codemirror */
.cm-s-ipython span.cm-keyword {
  color: #008000;
  font-weight: bold;
}
.cm-s-ipython span.cm-atom {
  color: #88F;
}
.cm-s-ipython span.cm-number {
  color: #080;
}
.cm-s-ipython span.cm-def {
  color: #00f;
}
.cm-s-ipython span.cm-variable {
  color: #000;
}
.cm-s-ipython span.cm-operator {
  color: #AA22FF;
  font-weight: bold;
}
.cm-s-ipython span.cm-variable-2 {
  color: #1a1a1a;
}
.cm-s-ipython span.cm-variable-3 {
  color: #333333;
}
.cm-s-ipython span.cm-comment {
  color: #408080;
  font-style: italic;
}
.cm-s-ipython span.cm-string {
  color: #BA2121;
}
.cm-s-ipython span.cm-string-2 {
  color: #f50;
}
.cm-s-ipython span.cm-meta {
  color: #AA22FF;
}
.cm-s-ipython span.cm-qualifier {
  color: #555;
}
.cm-s-ipython span.cm-builtin {
  color: #008000;
}
.cm-s-ipython span.cm-bracket {
  color: #997;
}
.cm-s-ipython span.cm-tag {
  color: #170;
}
.cm-s-ipython span.cm-attribute {
  color: #00c;
}
.cm-s-ipython span.cm-header {
  color: blue;
}
.cm-s-ipython span.cm-quote {
  color: #090;
}
.cm-s-ipython span.cm-link {
  color: #00c;
}
.cm-s-ipython span.cm-error {
  color: #f00;
}
.cm-s-ipython span.cm-tab {
  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
  background-position: right;
  background-repeat: no-repeat;
}
div.output_wrapper {
  /* this position must be relative to enable descendents to be absolute within it */
  position: relative;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  z-index: 1;
}
/* class for the output area when it should be height-limited */
div.output_scroll {
  /* ideally, this would be max-height, but FF barfs all over that */
  height: 24em;
  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
  width: 100%;
  overflow: auto;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  display: block;
}
/* output div while it is collapsed */
div.output_collapsed {
  margin: 0px;
  padding: 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
div.out_prompt_overlay {
  height: 100%;
  padding: 0px 0.4em;
  position: absolute;
  border-radius: 2px;
}
div.out_prompt_overlay:hover {
  /* use inner shadow to get border that is computed the same on WebKit/FF */
  -webkit-box-shadow: inset 0 0 1px #000;
  box-shadow: inset 0 0 1px #000;
  background: rgba(240, 240, 240, 0.5);
}
div.output_prompt {
  color: #D84315;
}
/* This class is the outer container of all output sections. */
div.output_area {
  padding: 0px;
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.output_area .MathJax_Display {
  text-align: left !important;
}
div.output_area .rendered_html table {
  margin-left: 0;
  margin-right: 0;
}
div.output_area .rendered_html img {
  margin-left: 0;
  margin-right: 0;
}
div.output_area img,
div.output_area svg {
  max-width: 100%;
  height: auto;
}
div.output_area img.unconfined,
div.output_area svg.unconfined {
  max-width: none;
}
/* This is needed to protect the pre formating from global settings such
   as that of bootstrap */
.output {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.output_area {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
div.output_area pre {
  margin: 0;
  padding: 0;
  border: 0;
  vertical-align: baseline;
  color: black;
  background-color: transparent;
  border-radius: 0;
}
/* This class is for the output subarea inside the output_area and after
   the prompt div. */
div.output_subarea {
  overflow-x: auto;
  padding: 0.4em;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
  max-width: calc(100% - 14ex);
}
div.output_scroll div.output_subarea {
  overflow-x: visible;
}
/* The rest of the output_* classes are for special styling of the different
   output types */
/* all text output has this class: */
div.output_text {
  text-align: left;
  color: #000;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
}
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
div.output_stderr {
  background: #fdd;
  /* very light red background for stderr */
}
div.output_latex {
  text-align: left;
}
/* Empty output_javascript divs should have no height */
div.output_javascript:empty {
  padding: 0;
}
.js-error {
  color: darkred;
}
/* raw_input styles */
div.raw_input_container {
  line-height: 1.21429em;
  padding-top: 5px;
}
pre.raw_input_prompt {
  /* nothing needed here. */
}
input.raw_input {
  font-family: monospace;
  font-size: inherit;
  color: inherit;
  width: auto;
  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;
  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0em 0.25em;
  margin: 0em 0.25em;
}
input.raw_input:focus {
  box-shadow: none;
}
p.p-space {
  margin-bottom: 10px;
}
div.output_unrecognized {
  padding: 5px;
  font-weight: bold;
  color: red;
}
div.output_unrecognized a {
  color: inherit;
  text-decoration: none;
}
div.output_unrecognized a:hover {
  color: inherit;
  text-decoration: none;
}
.rendered_html {
  color: #000;
  /* any extras will just be numbers: */
}
.rendered_html em {
  font-style: italic;
}
.rendered_html strong {
  font-weight: bold;
}
.rendered_html u {
  text-decoration: underline;
}
.rendered_html :link {
  text-decoration: underline;
}
.rendered_html :visited {
  text-decoration: underline;
}
.rendered_html h1 {
  font-size: 185.7%;
  margin: 1.08em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h2 {
  font-size: 157.1%;
  margin: 1.27em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h3 {
  font-size: 128.6%;
  margin: 1.55em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h4 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h5 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h6 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h1:first-child {
  margin-top: 0.538em;
}
.rendered_html h2:first-child {
  margin-top: 0.636em;
}
.rendered_html h3:first-child {
  margin-top: 0.777em;
}
.rendered_html h4:first-child {
  margin-top: 1em;
}
.rendered_html h5:first-child {
  margin-top: 1em;
}
.rendered_html h6:first-child {
  margin-top: 1em;
}
.rendered_html ul {
  list-style: disc;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ul ul {
  list-style: square;
  margin: 0em 2em;
}
.rendered_html ul ul ul {
  list-style: circle;
  margin: 0em 2em;
}
.rendered_html ol {
  list-style: decimal;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
  margin: 0em 2em;
}
.rendered_html * + ul {
  margin-top: 1em;
}
.rendered_html * + ol {
  margin-top: 1em;
}
.rendered_html hr {
  color: black;
  background-color: black;
}
.rendered_html pre {
  margin: 1em 2em;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  background-color: #fff;
  color: #000;
  font-size: 100%;
  padding: 0px;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: 1px solid black;
  border-collapse: collapse;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  border: 1px solid black;
  border-collapse: collapse;
  margin: 1em 2em;
}
.rendered_html td,
.rendered_html th {
  text-align: left;
  vertical-align: middle;
  padding: 4px;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html * + table {
  margin-top: 1em;
}
.rendered_html p {
  text-align: left;
}
.rendered_html * + p {
  margin-top: 1em;
}
.rendered_html img {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.rendered_html * + img {
  margin-top: 1em;
}
.rendered_html img,
.rendered_html svg {
  max-width: 100%;
  height: auto;
}
.rendered_html img.unconfined,
.rendered_html svg.unconfined {
  max-width: none;
}
div.text_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.text_cell > div.prompt {
    display: none;
  }
}
div.text_cell_render {
  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
  outline: none;
  resize: none;
  width: inherit;
  border-style: none;
  padding: 0.5em 0.5em 0.5em 0.4em;
  color: #000;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
a.anchor-link:link {
  text-decoration: none;
  padding: 0px 20px;
  visibility: hidden;
}
h1:hover .anchor-link,
h2:hover .anchor-link,
h3:hover .anchor-link,
h4:hover .anchor-link,
h5:hover .anchor-link,
h6:hover .anchor-link {
  visibility: visible;
}
.text_cell.rendered .input_area {
  display: none;
}
.text_cell.rendered .rendered_html {
  overflow-x: auto;
  overflow-y: hidden;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.cm-header-1,
.cm-header-2,
.cm-header-3,
.cm-header-4,
.cm-header-5,
.cm-header-6 {
  font-weight: bold;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.cm-header-1 {
  font-size: 185.7%;
}
.cm-header-2 {
  font-size: 157.1%;
}
.cm-header-3 {
  font-size: 128.6%;
}
.cm-header-4 {
  font-size: 110%;
}
.cm-header-5 {
  font-size: 100%;
  font-style: italic;
}
.cm-header-6 {
  font-size: 100%;
  font-style: italic;
}
/*!
*
* IPython notebook webapp
*
*/
@media (max-width: 767px) {
  .notebook_app {
    padding-left: 0px;
    padding-right: 0px;
  }
}
#ipython-main-app {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook_panel {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook {
  font-size: 14px;
  line-height: 20px;
  overflow-y: hidden;
  overflow-x: auto;
  width: 100%;
  /* This spaces the page away from the edge of the notebook area */
  padding-top: 20px;
  margin: 0px;
  outline: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  min-height: 100%;
}
@media not print {
  #notebook-container {
    padding: 15px;
    background-color: #fff;
    min-height: 0;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
@media print {
  #notebook-container {
    width: 100%;
  }
}
div.ui-widget-content {
  border: 1px solid #ababab;
  outline: none;
}
pre.dialog {
  background-color: #f7f7f7;
  border: 1px solid #ddd;
  border-radius: 2px;
  padding: 0.4em;
  padding-left: 2em;
}
p.dialog {
  padding: 0.2em;
}
/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
 */
pre,
code,
kbd,
samp {
  white-space: pre-wrap;
}
#fonttest {
  font-family: monospace;
}
p {
  margin-bottom: 0;
}
.end_space {
  min-height: 100px;
  transition: height .2s ease;
}
.notebook_app > #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
@media not print {
  .notebook_app {
    background-color: #EEE;
  }
}
kbd {
  border-style: solid;
  border-width: 1px;
  box-shadow: none;
  margin: 2px;
  padding-left: 2px;
  padding-right: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
/* CSS for the cell toolbar */
.celltoolbar {
  border: thin solid #CFCFCF;
  border-bottom: none;
  background: #EEE;
  border-radius: 2px 2px 0px 0px;
  width: 100%;
  height: 29px;
  padding-right: 4px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
  display: -webkit-flex;
}
@media print {
  .celltoolbar {
    display: none;
  }
}
.ctb_hideshow {
  display: none;
  vertical-align: bottom;
}
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
   Cell toolbars are only shown when the ctb_global_show class is also set.
*/
.ctb_global_show .ctb_show.ctb_hideshow {
  display: block;
}
.ctb_global_show .ctb_show + .input_area,
.ctb_global_show .ctb_show + div.text_cell_input,
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border-top-right-radius: 0px;
  border-top-left-radius: 0px;
}
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border: 1px solid #cfcfcf;
}
.celltoolbar {
  font-size: 87%;
  padding-top: 3px;
}
.celltoolbar select {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  width: inherit;
  font-size: inherit;
  height: 22px;
  padding: 0px;
  display: inline-block;
}
.celltoolbar select:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.celltoolbar select::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.celltoolbar select:-ms-input-placeholder {
  color: #999;
}
.celltoolbar select::-webkit-input-placeholder {
  color: #999;
}
.celltoolbar select::-ms-expand {
  border: 0;
  background-color: transparent;
}
.celltoolbar select[disabled],
.celltoolbar select[readonly],
fieldset[disabled] .celltoolbar select {
  background-color: #eeeeee;
  opacity: 1;
}
.celltoolbar select[disabled],
fieldset[disabled] .celltoolbar select {
  cursor: not-allowed;
}
textarea.celltoolbar select {
  height: auto;
}
select.celltoolbar select {
  height: 30px;
  line-height: 30px;
}
textarea.celltoolbar select,
select[multiple].celltoolbar select {
  height: auto;
}
.celltoolbar label {
  margin-left: 5px;
  margin-right: 5px;
}
.completions {
  position: absolute;
  z-index: 110;
  overflow: hidden;
  border: 1px solid #ababab;
  border-radius: 2px;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  line-height: 1;
}
.completions select {
  background: white;
  outline: none;
  border: none;
  padding: 0px;
  margin: 0px;
  overflow: auto;
  font-family: monospace;
  font-size: 110%;
  color: #000;
  width: auto;
}
.completions select option.context {
  color: #286090;
}
#kernel_logo_widget {
  float: right !important;
  float: right;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
#menubar {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  margin-top: 1px;
}
#menubar .navbar {
  border-top: 1px;
  border-radius: 0px 0px 2px 2px;
  margin-bottom: 0px;
}
#menubar .navbar-toggle {
  float: left;
  padding-top: 7px;
  padding-bottom: 7px;
  border: none;
}
#menubar .navbar-collapse {
  clear: left;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
.dropdown-submenu:hover > .dropdown-menu {
  display: block;
}
.dropdown-submenu > a:after {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  display: block;
  content: "\f0da";
  float: right;
  color: #333333;
  margin-top: 2px;
  margin-right: -10px;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
.dropdown-submenu:hover > a:after {
  color: #262626;
}
.dropdown-submenu.pull-left {
  float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
  left: -100%;
  margin-left: 10px;
}
#notification_area {
  float: right !important;
  float: right;
  z-index: 10;
}
.indicator_area {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
#kernel_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  border-left: 1px solid;
}
#kernel_indicator .kernel_indicator_name {
  padding-left: 5px;
  padding-right: 5px;
}
#modal_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
#readonly-indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  margin-top: 2px;
  margin-bottom: 0px;
  margin-left: 0px;
  margin-right: 0px;
  display: none;
}
.modal_indicator:before {
  width: 1.28571429em;
  text-align: center;
}
.edit_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f040";
}
.edit_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: ' ';
}
.command_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f10c";
}
.kernel_idle_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f111";
}
.kernel_busy_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f1e2";
}
.kernel_dead_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f127";
}
.kernel_disconnected_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.pull-right {
  margin-left: .3em;
}
.notification_widget {
  color: #777;
  z-index: 10;
  background: rgba(240, 240, 240, 0.5);
  margin-right: 4px;
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget:focus,
.notification_widget.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.notification_widget:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active:hover,
.notification_widget.active:hover,
.open > .dropdown-toggle.notification_widget:hover,
.notification_widget:active:focus,
.notification_widget.active:focus,
.open > .dropdown-toggle.notification_widget:focus,
.notification_widget:active.focus,
.notification_widget.active.focus,
.open > .dropdown-toggle.notification_widget.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  background-image: none;
}
.notification_widget.disabled:hover,
.notification_widget[disabled]:hover,
fieldset[disabled] .notification_widget:hover,
.notification_widget.disabled:focus,
.notification_widget[disabled]:focus,
fieldset[disabled] .notification_widget:focus,
.notification_widget.disabled.focus,
.notification_widget[disabled].focus,
fieldset[disabled] .notification_widget.focus {
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget .badge {
  color: #fff;
  background-color: #333;
}
.notification_widget.warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning:focus,
.notification_widget.warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.notification_widget.warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active:hover,
.notification_widget.warning.active:hover,
.open > .dropdown-toggle.notification_widget.warning:hover,
.notification_widget.warning:active:focus,
.notification_widget.warning.active:focus,
.open > .dropdown-toggle.notification_widget.warning:focus,
.notification_widget.warning:active.focus,
.notification_widget.warning.active.focus,
.open > .dropdown-toggle.notification_widget.warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  background-image: none;
}
.notification_widget.warning.disabled:hover,
.notification_widget.warning[disabled]:hover,
fieldset[disabled] .notification_widget.warning:hover,
.notification_widget.warning.disabled:focus,
.notification_widget.warning[disabled]:focus,
fieldset[disabled] .notification_widget.warning:focus,
.notification_widget.warning.disabled.focus,
.notification_widget.warning[disabled].focus,
fieldset[disabled] .notification_widget.warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.notification_widget.success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success:focus,
.notification_widget.success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.notification_widget.success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active:hover,
.notification_widget.success.active:hover,
.open > .dropdown-toggle.notification_widget.success:hover,
.notification_widget.success:active:focus,
.notification_widget.success.active:focus,
.open > .dropdown-toggle.notification_widget.success:focus,
.notification_widget.success:active.focus,
.notification_widget.success.active.focus,
.open > .dropdown-toggle.notification_widget.success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  background-image: none;
}
.notification_widget.success.disabled:hover,
.notification_widget.success[disabled]:hover,
fieldset[disabled] .notification_widget.success:hover,
.notification_widget.success.disabled:focus,
.notification_widget.success[disabled]:focus,
fieldset[disabled] .notification_widget.success:focus,
.notification_widget.success.disabled.focus,
.notification_widget.success[disabled].focus,
fieldset[disabled] .notification_widget.success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.notification_widget.info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info:focus,
.notification_widget.info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.notification_widget.info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active:hover,
.notification_widget.info.active:hover,
.open > .dropdown-toggle.notification_widget.info:hover,
.notification_widget.info:active:focus,
.notification_widget.info.active:focus,
.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  background-image: none;
}
.notification_widget.info.disabled:hover,
.notification_widget.info[disabled]:hover,
fieldset[disabled] .notification_widget.info:hover,
.notification_widget.info.disabled:focus,
.notification_widget.info[disabled]:focus,
fieldset[disabled] .notification_widget.info:focus,
.notification_widget.info.disabled.focus,
.notification_widget.info[disabled].focus,
fieldset[disabled] .notification_widget.info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.notification_widget.danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger:focus,
.notification_widget.danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.notification_widget.danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active:hover,
.notification_widget.danger.active:hover,
.open > .dropdown-toggle.notification_widget.danger:hover,
.notification_widget.danger:active:focus,
.notification_widget.danger.active:focus,
.open > .dropdown-toggle.notification_widget.danger:focus,
.notification_widget.danger:active.focus,
.notification_widget.danger.active.focus,
.open > .dropdown-toggle.notification_widget.danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  background-image: none;
}
.notification_widget.danger.disabled:hover,
.notification_widget.danger[disabled]:hover,
fieldset[disabled] .notification_widget.danger:hover,
.notification_widget.danger.disabled:focus,
.notification_widget.danger[disabled]:focus,
fieldset[disabled] .notification_widget.danger:focus,
.notification_widget.danger.disabled.focus,
.notification_widget.danger[disabled].focus,
fieldset[disabled] .notification_widget.danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger .badge {
  color: #d9534f;
  background-color: #fff;
}
div#pager {
  background-color: #fff;
  font-size: 14px;
  line-height: 20px;
  overflow: hidden;
  display: none;
  position: fixed;
  bottom: 0px;
  width: 100%;
  max-height: 50%;
  padding-top: 8px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  /* Display over codemirror */
  z-index: 100;
  /* Hack which prevents jquery ui resizable from changing top. */
  top: auto !important;
}
div#pager pre {
  line-height: 1.21429em;
  color: #000;
  background-color: #f7f7f7;
  padding: 0.4em;
}
div#pager #pager-button-area {
  position: absolute;
  top: 8px;
  right: 20px;
}
div#pager #pager-contents {
  position: relative;
  overflow: auto;
  width: 100%;
  height: 100%;
}
div#pager #pager-contents #pager-container {
  position: relative;
  padding: 15px 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
div#pager .ui-resizable-handle {
  top: 0px;
  height: 8px;
  background: #f7f7f7;
  border-top: 1px solid #cfcfcf;
  border-bottom: 1px solid #cfcfcf;
  /* This injects handle bars (a short, wide = symbol) for 
        the resize handle. */
}
div#pager .ui-resizable-handle::after {
  content: '';
  top: 2px;
  left: 50%;
  height: 3px;
  width: 30px;
  margin-left: -15px;
  position: absolute;
  border-top: 1px solid #cfcfcf;
}
.quickhelp {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  line-height: 1.8em;
}
.shortcut_key {
  display: inline-block;
  width: 21ex;
  text-align: right;
  font-family: monospace;
}
.shortcut_descr {
  display: inline-block;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
span.save_widget {
  margin-top: 6px;
}
span.save_widget span.filename {
  height: 1em;
  line-height: 1em;
  padding: 3px;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
  }
  span.checkpoint_status,
  span.autosave_status {
    display: none;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  span.checkpoint_status {
    display: none;
  }
  span.autosave_status {
    font-size: x-small;
  }
}
.toolbar {
  padding: 0px;
  margin-left: -5px;
  margin-top: 2px;
  margin-bottom: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.toolbar select,
.toolbar label {
  width: auto;
  vertical-align: middle;
  margin-right: 2px;
  margin-bottom: 0px;
  display: inline;
  font-size: 92%;
  margin-left: 0.3em;
  margin-right: 0.3em;
  padding: 0px;
  padding-top: 3px;
}
.toolbar .btn {
  padding: 2px 8px;
}
.toolbar .btn-group {
  margin-top: 0px;
  margin-left: 5px;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
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<h1 id="Machine-Learning-Engineer-Nanodegree">Machine Learning Engineer Nanodegree<a class="anchor-link" href="#Machine-Learning-Engineer-Nanodegree">&#182;</a></h1><h2 id="Model-Evaluation-&amp;-Validation">Model Evaluation &amp; Validation<a class="anchor-link" href="#Model-Evaluation-&amp;-Validation">&#182;</a></h2><h2 id="Project:-Predicting-Boston-Housing-Prices">Project: Predicting Boston Housing Prices<a class="anchor-link" href="#Project:-Predicting-Boston-Housing-Prices">&#182;</a></h2><p>Welcome to the first project of the Machine Learning Engineer Nanodegree! In this notebook, some template code has already been provided for you, and you will need to implement additional functionality to successfully complete this project. You will not need to modify the included code beyond what is requested. Sections that begin with <strong>'Implementation'</strong> in the header indicate that the following block of code will require additional functionality which you must provide. Instructions will be provided for each section and the specifics of the implementation are marked in the code block with a 'TODO' statement. Please be sure to read the instructions carefully!</p>
<p>In addition to implementing code, there will be questions that you must answer which relate to the project and your implementation. Each section where you will answer a question is preceded by a <strong>'Question X'</strong> header. Carefully read each question and provide thorough answers in the following text boxes that begin with <strong>'Answer:'</strong>. Your project submission will be evaluated based on your answers to each of the questions and the implementation you provide.</p>
<blockquote><p><strong>Note:</strong> Code and Markdown cells can be executed using the <strong>Shift + Enter</strong> keyboard shortcut. In addition, Markdown cells can be edited by typically double-clicking the cell to enter edit mode.</p>
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<h2 id="Getting-Started">Getting Started<a class="anchor-link" href="#Getting-Started">&#182;</a></h2><p>In this project, you will evaluate the performance and predictive power of a model that has been trained and tested on data collected from homes in suburbs of Boston, Massachusetts. A model trained on this data that is seen as a <em>good fit</em> could then be used to make certain predictions about a home — in particular, its monetary value. This model would prove to be invaluable for someone like a real estate agent who could make use of such information on a daily basis.</p>
<p>The dataset for this project originates from the <a href="https://archive.ics.uci.edu/ml/datasets/Housing">UCI Machine Learning Repository</a>. The Boston housing data was collected in 1978 and each of the 506 entries represent aggregated data about 14 features for homes from various suburbs in Boston, Massachusetts. For the purposes of this project, the following preprocessing steps have been made to the dataset:</p>
<ul>
<li>16 data points have an <code>'MEDV'</code> value of 50.0. These data points likely contain <strong>missing or censored values</strong> and have been removed.</li>
<li>1 data point has an <code>'RM'</code> value of 8.78. This data point can be considered an <strong>outlier</strong> and has been removed.</li>
<li>The features <code>'RM'</code>, <code>'LSTAT'</code>, <code>'PTRATIO'</code>, and <code>'MEDV'</code> are essential. The remaining <strong>non-relevant features</strong> have been excluded.</li>
<li>The feature <code>'MEDV'</code> has been <strong>multiplicatively scaled</strong> to account for 35 years of market inflation.</li>
</ul>
<p>Run the code cell below to load the Boston housing dataset, along with a few of the necessary Python libraries required for this project. You will know the dataset loaded successfully if the size of the dataset is reported.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Import libraries necessary for this project</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">from</span> <span class="nn">sklearn.cross_validation</span> <span class="k">import</span> <span class="n">ShuffleSplit</span>

<span class="c1"># Import supplementary visualizations code visuals.py</span>
<span class="kn">import</span> <span class="nn">visuals</span> <span class="k">as</span> <span class="nn">vs</span>

<span class="c1"># Pretty display for notebooks</span>
<span class="o">%</span><span class="k">matplotlib</span> inline

<span class="c1"># Load the Boston housing dataset</span>
<span class="n">data</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="s1">&#39;housing.csv&#39;</span><span class="p">)</span>
<span class="n">prices</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;MEDV&#39;</span><span class="p">]</span>
<span class="n">features</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s1">&#39;MEDV&#39;</span><span class="p">,</span> <span class="n">axis</span> <span class="o">=</span> <span class="mi">1</span><span class="p">)</span>
    
<span class="c1"># Success</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Boston housing dataset has </span><span class="si">{}</span><span class="s2"> data points with </span><span class="si">{}</span><span class="s2"> variables each.&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="o">*</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">))</span>
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<pre>/Users/Tokky/anaconda3/lib/python3.6/site-packages/sklearn/cross_validation.py:41: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.
  &#34;This module will be removed in 0.20.&#34;, DeprecationWarning)
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<pre>Boston housing dataset has 489 data points with 4 variables each.
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<pre>/Users/Tokky/anaconda3/lib/python3.6/site-packages/sklearn/learning_curve.py:22: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the functions are moved. This module will be removed in 0.20
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<h2 id="Data-Exploration">Data Exploration<a class="anchor-link" href="#Data-Exploration">&#182;</a></h2><p>In this first section of this project, you will make a cursory investigation about the Boston housing data and provide your observations. Familiarizing yourself with the data through an explorative process is a fundamental practice to help you better understand and justify your results.</p>
<p>Since the main goal of this project is to construct a working model which has the capability of predicting the value of houses, we will need to separate the dataset into <strong>features</strong> and the <strong>target variable</strong>. The <strong>features</strong>, <code>'RM'</code>, <code>'LSTAT'</code>, and <code>'PTRATIO'</code>, give us quantitative information about each data point. The <strong>target variable</strong>, <code>'MEDV'</code>, will be the variable we seek to predict. These are stored in <code>features</code> and <code>prices</code>, respectively.</p>

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<h3 id="Implementation:-Calculate-Statistics">Implementation: Calculate Statistics<a class="anchor-link" href="#Implementation:-Calculate-Statistics">&#182;</a></h3><p>For your very first coding implementation, you will calculate descriptive statistics about the Boston housing prices. Since <code>numpy</code> has already been imported for you, use this library to perform the necessary calculations. These statistics will be extremely important later on to analyze various prediction results from the constructed model.</p>
<p>In the code cell below, you will need to implement the following:</p>
<ul>
<li>Calculate the minimum, maximum, mean, median, and standard deviation of <code>'MEDV'</code>, which is stored in <code>prices</code>.<ul>
<li>Store each calculation in their respective variable.</li>
</ul>
</li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Minimum price of the data</span>
<span class="n">minimum_price</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">prices</span><span class="p">)</span>

<span class="c1"># TODO: Maximum price of the data</span>
<span class="n">maximum_price</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">prices</span><span class="p">)</span>

<span class="c1"># TODO: Mean price of the data</span>
<span class="n">mean_price</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">prices</span><span class="p">)</span>

<span class="c1"># TODO: Median price of the data</span>
<span class="n">median_price</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">median</span><span class="p">(</span><span class="n">prices</span><span class="p">)</span>

<span class="c1"># TODO: Standard deviation of prices of the data</span>
<span class="n">std_price</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">prices</span><span class="p">)</span>

<span class="c1"># Show the calculated statistics</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Statistics for Boston housing dataset:</span><span class="se">\n</span><span class="s2">&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Minimum price: $</span><span class="si">{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">minimum_price</span><span class="p">))</span> 
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Maximum price: $</span><span class="si">{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">maximum_price</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Mean price: $</span><span class="si">{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">mean_price</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Median price $</span><span class="si">{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">median_price</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Standard deviation of prices: $</span><span class="si">{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">std_price</span><span class="p">))</span>
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<pre>Statistics for Boston housing dataset:

Minimum price: $105000.0
Maximum price: $1024800.0
Mean price: $454342.9447852761
Median price $438900.0
Standard deviation of prices: $165171.13154429477
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<h3 id="Question-1---Feature-Observation">Question 1 - Feature Observation<a class="anchor-link" href="#Question-1---Feature-Observation">&#182;</a></h3><p>As a reminder, we are using three features from the Boston housing dataset: <code>'RM'</code>, <code>'LSTAT'</code>, and <code>'PTRATIO'</code>. For each data point (neighborhood):</p>
<ul>
<li><code>'RM'</code> is the average number of rooms among homes in the neighborhood.</li>
<li><code>'LSTAT'</code> is the percentage of homeowners in the neighborhood considered "lower class" (working poor).</li>
<li><code>'PTRATIO'</code> is the ratio of students to teachers in primary and secondary schools in the neighborhood.</li>
</ul>
<p><strong> Using your intuition, for each of the three features above, do you think that an increase in the value of that feature would lead to an </strong>increase<strong> in the value of <code>'MEDV'</code> or a </strong>decrease<strong> in the value of <code>'MEDV'</code>? Justify your answer for each.</strong></p>
<p><strong>Hint:</strong> This problem can phrased using examples like below.</p>
<ul>
<li>Would you expect a home that has an <code>'RM'</code> value(number of rooms) of 6 be worth more or less than a home that has an <code>'RM'</code> value of 7?</li>
<li>Would you expect a neighborhood that has an <code>'LSTAT'</code> value(percent of lower class workers) of 15 have home prices be worth more or less than a neighborhood that has an <code>'LSTAT'</code> value of 20?</li>
<li>Would you expect a neighborhood that has an <code>'PTRATIO'</code> value(ratio of students to teachers) of 10 have home prices be worth more or less than a neighborhood that has an <code>'PTRATIO'</code> value of 15?</li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>

<span class="n">data_corr</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">corr</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span>

<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">col</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">features</span><span class="o">.</span><span class="n">columns</span><span class="p">):</span>
    <span class="n">corr</span> <span class="o">=</span> <span class="n">data_corr</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">col</span><span class="p">,</span> <span class="s1">&#39;MEDV&#39;</span><span class="p">]</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="n">i</span><span class="o">+</span><span class="mi">1</span><span class="p">)</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="n">col</span><span class="p">],</span> <span class="n">prices</span><span class="p">,</span> <span class="s1">&#39;x&#39;</span><span class="p">)</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">%s</span><span class="s1"> x MEDV</span><span class="se">\n</span><span class="s1"> Corrlation: </span><span class="si">%.2f</span><span class="s1">&#39;</span> <span class="o">%</span> <span class="p">(</span><span class="n">col</span><span class="p">,</span> <span class="n">corr</span><span class="p">))</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="n">col</span><span class="p">)</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;MEDV&#39;</span><span class="p">)</span>
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<p><strong>Answer: </strong></p>
<p>As the graph above shows, each column has the correlation with 'MEDV' like below.</p>
<ul>
<li>An increase of 'RM' would lead to an increase in the value of 'MEDV' because relatively large housings with more rooms are usually expensive than smaller ones, and it is expected that the target house is one of them.</li>
<li>An increase of 'LSTAT' would lead to a decrease in the value of 'MEDV' because, generally speaking, lower class people live in a house that is not very expensive.</li>
<li>An increase of 'PTRATIO' would lead to a decrease in the value of 'MEDV' because it is plausible that the education level of a district has a correlation with the social status (namely, the capability of owning an expensive house).</li>
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<h2 id="Developing-a-Model">Developing a Model<a class="anchor-link" href="#Developing-a-Model">&#182;</a></h2><p>In this second section of the project, you will develop the tools and techniques necessary for a model to make a prediction. Being able to make accurate evaluations of each model's performance through the use of these tools and techniques helps to greatly reinforce the confidence in your predictions.</p>

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<h3 id="Implementation:-Define-a-Performance-Metric">Implementation: Define a Performance Metric<a class="anchor-link" href="#Implementation:-Define-a-Performance-Metric">&#182;</a></h3><p>It is difficult to measure the quality of a given model without quantifying its performance over training and testing. This is typically done using some type of performance metric, whether it is through calculating some type of error, the goodness of fit, or some other useful measurement. For this project, you will be calculating the <a href="http://stattrek.com/statistics/dictionary.aspx?definition=coefficient_of_determination"><em>coefficient of determination</em></a>, R<sup>2</sup>, to quantify your model's performance. The coefficient of determination for a model is a useful statistic in regression analysis, as it often describes how "good" that model is at making predictions.</p>
<p>The values for R<sup>2</sup> range from 0 to 1, which captures the percentage of squared correlation between the predicted and actual values of the <strong>target variable</strong>. A model with an R<sup>2</sup> of 0 is no better than a model that always predicts the <em>mean</em> of the target variable, whereas a model with an R<sup>2</sup> of 1 perfectly predicts the target variable. Any value between 0 and 1 indicates what percentage of the target variable, using this model, can be explained by the <strong>features</strong>. <em>A model can be given a negative R<sup>2</sup> as well, which indicates that the model is <strong>arbitrarily worse</strong> than one that always predicts the mean of the target variable.</em></p>
<p>For the <code>performance_metric</code> function in the code cell below, you will need to implement the following:</p>
<ul>
<li>Use <code>r2_score</code> from <code>sklearn.metrics</code> to perform a performance calculation between <code>y_true</code> and <code>y_predict</code>.</li>
<li>Assign the performance score to the <code>score</code> variable.</li>
</ul>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Import &#39;r2_score&#39;</span>
<span class="kn">from</span> <span class="nn">sklearn.metrics</span> <span class="k">import</span> <span class="n">r2_score</span>

<span class="k">def</span> <span class="nf">performance_metric</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_predict</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot; Calculates and returns the performance score between </span>
<span class="sd">        true and predicted values based on the metric chosen. &quot;&quot;&quot;</span>
    
    <span class="c1"># TODO: Calculate the performance score between &#39;y_true&#39; and &#39;y_predict&#39;</span>
    <span class="n">score</span> <span class="o">=</span> <span class="n">r2_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_predict</span><span class="p">)</span>
    
    <span class="c1"># Return the score</span>
    <span class="k">return</span> <span class="n">score</span>
</pre></div>

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<h3 id="Question-2---Goodness-of-Fit">Question 2 - Goodness of Fit<a class="anchor-link" href="#Question-2---Goodness-of-Fit">&#182;</a></h3><p>Assume that a dataset contains five data points and a model made the following predictions for the target variable:</p>
<table>
<thead><tr>
<th style="text-align:center">True Value</th>
<th style="text-align:center">Prediction</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:center">3.0</td>
<td style="text-align:center">2.5</td>
</tr>
<tr>
<td style="text-align:center">-0.5</td>
<td style="text-align:center">0.0</td>
</tr>
<tr>
<td style="text-align:center">2.0</td>
<td style="text-align:center">2.1</td>
</tr>
<tr>
<td style="text-align:center">7.0</td>
<td style="text-align:center">7.8</td>
</tr>
<tr>
<td style="text-align:center">4.2</td>
<td style="text-align:center">5.3</td>
</tr>
</tbody>
</table>
<p>Run the code cell below to use the <code>performance_metric</code> function and calculate this model's coefficient of determination.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Calculate the performance of this model</span>
<span class="n">score</span> <span class="o">=</span> <span class="n">performance_metric</span><span class="p">([</span><span class="mi">3</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.5</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">7</span><span class="p">,</span> <span class="mf">4.2</span><span class="p">],</span> <span class="p">[</span><span class="mf">2.5</span><span class="p">,</span> <span class="mf">0.0</span><span class="p">,</span> <span class="mf">2.1</span><span class="p">,</span> <span class="mf">7.8</span><span class="p">,</span> <span class="mf">5.3</span><span class="p">])</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Model has a coefficient of determination, R^2, of </span><span class="si">{:.3f}</span><span class="s2">.&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">score</span><span class="p">))</span>
</pre></div>

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<pre>Model has a coefficient of determination, R^2, of 0.923.
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<ul>
<li>Would you consider this model to have successfully captured the variation of the target variable? </li>
<li>Why or why not?</li>
</ul>
<p><strong> Hint: </strong>  The R2 score is the proportion of the variance in the dependent variable (= 目的変数) that is predictable from the independent variable (= 説明変数). In other words:</p>
<ul>
<li>R2 score of 0 means that the dependent variable cannot be predicted from the independent variable.</li>
<li>R2 score of 1 means the dependent variable can be predicted from the independent variable.</li>
<li>R2 score between 0 and 1 indicates the extent to which the dependent variable is predictable. An </li>
<li>R2 score of 0.40 means that 40 percent of the variance in Y is predictable from X.</li>
</ul>

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<p><strong>Answer:</strong>This model would be considered to have successfully caputured the variation of the target variable because the score is 0.923, which means that more than 90% of the dependent variable can be explained by the independent variable.</p>

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<h3 id="Implementation:-Shuffle-and-Split-Data">Implementation: Shuffle and Split Data<a class="anchor-link" href="#Implementation:-Shuffle-and-Split-Data">&#182;</a></h3><p>Your next implementation requires that you take the Boston housing dataset and split the data into training and testing subsets. Typically, the data is also shuffled into a random order when creating the training and testing subsets to remove any bias in the ordering of the dataset.</p>
<p>For the code cell below, you will need to implement the following:</p>
<ul>
<li>Use <code>train_test_split</code> from <code>sklearn.cross_validation</code> to shuffle and split the <code>features</code> and <code>prices</code> data into training and testing sets.<ul>
<li>Split the data into 80% training and 20% testing.</li>
<li>Set the <code>random_state</code> for <code>train_test_split</code> to a value of your choice. This ensures results are consistent.</li>
</ul>
</li>
<li>Assign the train and testing splits to <code>X_train</code>, <code>X_test</code>, <code>y_train</code>, and <code>y_test</code>.</li>
</ul>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Import &#39;train_test_split&#39;</span>
<span class="kn">from</span> <span class="nn">sklearn.cross_validation</span> <span class="k">import</span> <span class="n">train_test_split</span>

<span class="c1"># TODO: Shuffle and split the data into training and testing subsets</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">features</span><span class="p">,</span> <span class="n">prices</span><span class="p">,</span> <span class="n">test_size</span><span class="o">=</span><span class="mf">0.20</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">42</span><span class="p">)</span>

<span class="c1"># Success</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Training and testing split was successful.&quot;</span><span class="p">)</span>
</pre></div>

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<pre>Training and testing split was successful.
</pre>
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<h3 id="Question-3---Training-and-Testing">Question 3 - Training and Testing<a class="anchor-link" href="#Question-3---Training-and-Testing">&#182;</a></h3><ul>
<li>What is the benefit to splitting a dataset into some ratio of training and testing subsets for a learning algorithm?</li>
</ul>
<p><strong>Hint:</strong> Think about how overfitting or underfitting is contingent upon how splits on data is done.</p>

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<p><strong>Answer: </strong>Splitting data enables you to check if the model is not overfitting or underfitting in order to predict the unseen data precisely.</p>

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<h2 id="Analyzing-Model-Performance">Analyzing Model Performance<a class="anchor-link" href="#Analyzing-Model-Performance">&#182;</a></h2><p>In this third section of the project, you'll take a look at several models' learning and testing performances on various subsets of training data. Additionally, you'll investigate one particular algorithm with an increasing <code>'max_depth'</code> parameter on the full training set to observe how model complexity affects performance. Graphing your model's performance based on varying criteria can be beneficial in the analysis process, such as visualizing behavior that may not have been apparent from the results alone.</p>

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<h3 id="Learning-Curves">Learning Curves<a class="anchor-link" href="#Learning-Curves">&#182;</a></h3><p>The following code cell produces four graphs for a decision tree model with different maximum depths. Each graph visualizes the learning curves of the model for both training and testing as the size of the training set is increased. Note that the shaded region of a learning curve denotes the uncertainty of that curve (measured as the standard deviation). The model is scored on both the training and testing sets using R<sup>2</sup>, the coefficient of determination.</p>
<p>Run the code cell below and use these graphs to answer the following question.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Produce learning curves for varying training set sizes and maximum depths</span>
<span class="n">vs</span><span class="o">.</span><span class="n">ModelLearning</span><span class="p">(</span><span class="n">features</span><span class="p">,</span> <span class="n">prices</span><span class="p">)</span>
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<h3 id="Question-4---Learning-the-Data">Question 4 - Learning the Data<a class="anchor-link" href="#Question-4---Learning-the-Data">&#182;</a></h3><ul>
<li>Choose one of the graphs above and state the maximum depth for the model. </li>
<li>What happens to the score of the training curve as more training points are added? What about the testing curve? </li>
<li>Would having more training points benefit the model? </li>
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<p><strong>Hint:</strong> Are the learning curves converging to particular scores? Generally speaking, the more data you have, the better. But if your training and testing curves are converging with a score above your benchmark threshold, would this be necessary?
Think about the pros and cons of adding more training points based on if the training and testing curves are converging.</p>

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<p><strong>Answer: </strong>
Even if more training points are added to the graph with max_depth=3, the tesing curve does not change because the training curve and testing curves have already converged. Since they are converging, you should not add more training points to save learning cost.</p>

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<h3 id="Complexity-Curves">Complexity Curves<a class="anchor-link" href="#Complexity-Curves">&#182;</a></h3><p>The following code cell produces a graph for a decision tree model that has been trained and validated on the training data using different maximum depths. The graph produces two complexity curves — one for training and one for validation. Similar to the <strong>learning curves</strong>, the shaded regions of both the complexity curves denote the uncertainty in those curves, and the model is scored on both the training and validation sets using the <code>performance_metric</code> function.</p>
<p><strong> Run the code cell below and use this graph to answer the following two questions Q5 and Q6. </strong></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">vs</span><span class="o">.</span><span class="n">ModelComplexity</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>
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<h3 id="Question-5---Bias-Variance-Tradeoff">Question 5 - Bias-Variance Tradeoff<a class="anchor-link" href="#Question-5---Bias-Variance-Tradeoff">&#182;</a></h3><ul>
<li>When the model is trained with a maximum depth of 1, does the model suffer from high bias or from high variance? </li>
<li>How about when the model is trained with a maximum depth of 10? What visual cues in the graph justify your conclusions?</li>
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<p><strong>Hint:</strong> High bias is a sign of underfitting(model is not complex enough to pick up the nuances in the data) and high variance is a sign of overfitting(model is by-hearting the data and cannot generalize well). Think about which model(depth 1 or 10) aligns with which part of the tradeoff.</p>

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<p><strong>Answer: </strong>
With the maximum depth of 1, the model will suffer from high bias, whereas, with the maximum depth of 10, it will do from high variance. This can be expected by that the graph shows that the gap between the Training score and the Validation score gets wider as the number of maximum depth increases if the maximum depth is more than 3.</p>

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<h3 id="Question-6---Best-Guess-Optimal-Model">Question 6 - Best-Guess Optimal Model<a class="anchor-link" href="#Question-6---Best-Guess-Optimal-Model">&#182;</a></h3><ul>
<li>Which maximum depth do you think results in a model that best generalizes to unseen data? </li>
<li>What intuition lead you to this answer?</li>
</ul>
<p><strong> Hint: </strong> Look at the graph above Question 5 and see where the validation scores lie for the various depths that have been assigned to the model. Does it get better with increased depth? At what point do we get our best validation score without overcomplicating our model? And remember, Occams Razor states "Among competing hypotheses, the one with the fewest assumptions should be selected."</p>

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<p><strong>Answer: </strong>
Maximum depth 3 best generalizes to unseen data. At the point of 4, the gap between the Training score and the Validation score starts widening without an improvement of the Validation score.</p>

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<hr>
<h2 id="Evaluating-Model-Performance">Evaluating Model Performance<a class="anchor-link" href="#Evaluating-Model-Performance">&#182;</a></h2><p>In this final section of the project, you will construct a model and make a prediction on the client's feature set using an optimized model from <code>fit_model</code>.</p>

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<h3 id="Question-7---Grid-Search">Question 7 - Grid Search<a class="anchor-link" href="#Question-7---Grid-Search">&#182;</a></h3><ul>
<li>What is the grid search technique?</li>
<li>How it can be applied to optimize a learning algorithm?</li>
</ul>
<p><strong> Hint: </strong> When explaining the Grid Search technique, be sure to touch upon why it is used,  what the 'grid' entails and what the end goal of this method is. To solidify your answer, you can also give an example of a parameter in a model that can be optimized using this approach.</p>

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<p><strong>Answer: </strong>
Grid Search is a technique to detemine which combination of hyperparameters produces the best model. In the method, all possible combination of hyperparameters are examined like a round-robin tournament and the output models are evaluated based on the scorer, such as F1 scorer, given as an argument.</p>

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<h3 id="Question-8---Cross-Validation">Question 8 - Cross-Validation<a class="anchor-link" href="#Question-8---Cross-Validation">&#182;</a></h3><ul>
<li><p>What is the k-fold cross-validation training technique?</p>
</li>
<li><p>What benefit does this technique provide for grid search when optimizing a model?</p>
</li>
</ul>
<p><strong>Hint:</strong> When explaining the k-fold cross validation technique, be sure to touch upon what 'k' is, how the dataset is split into different parts for training and testing and the number of times it is run based on the 'k' value.</p>
<p>When thinking about how k-fold cross validation helps grid search, think about the main drawbacks of grid search which are hinged upon <strong>using a particular subset of data for training or testing</strong> and how k-fold cv could help alleviate that. You can refer to the <a href="http://scikit-learn.org/stable/modules/cross_validation.html#cross-validation">docs</a> for your answer.</p>

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<p><strong>Answer: </strong>
k-fold cross-validation is a technique to split training data set into k smaller sets. In that technique, the training and testing are implemented k times using each chunk of split data as testing data and the rest as training data. The average of all computations is the final score of the model. If you just split the data into training, validation, and testing, the test of the model totally depends on the random choice of training and validation data. But using k-fold cross-validation can alleviate its uncertainty of randomness. In addition, since all data can be used as both training and validation, it is also effective when the number of the sample is small.</p>

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<h3 id="Implementation:-Fitting-a-Model">Implementation: Fitting a Model<a class="anchor-link" href="#Implementation:-Fitting-a-Model">&#182;</a></h3><p>Your final implementation requires that you bring everything together and train a model using the <strong>decision tree algorithm</strong>. To ensure that you are producing an optimized model, you will train the model using the grid search technique to optimize the <code>'max_depth'</code> parameter for the decision tree. The <code>'max_depth'</code> parameter can be thought of as how many questions the decision tree algorithm is allowed to ask about the data before making a prediction. Decision trees are part of a class of algorithms called <em>supervised learning algorithms</em>.</p>
<p>In addition, you will find your implementation is using <code>ShuffleSplit()</code> for an alternative form of cross-validation (see the <code>'cv_sets'</code> variable). While it is not the K-Fold cross-validation technique you describe in <strong>Question 8</strong>, this type of cross-validation technique is just as useful!. The <code>ShuffleSplit()</code> implementation below will create 10 (<code>'n_splits'</code>) shuffled sets, and for each shuffle, 20% (<code>'test_size'</code>) of the data will be used as the <em>validation set</em>. While you're working on your implementation, think about the contrasts and similarities it has to the K-fold cross-validation technique.</p>
<p>Please note that ShuffleSplit has different parameters in scikit-learn versions 0.17 and 0.18.
For the <code>fit_model</code> function in the code cell below, you will need to implement the following:</p>
<ul>
<li>Use <a href="http://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html"><code>DecisionTreeRegressor</code></a> from <code>sklearn.tree</code> to create a decision tree regressor object.<ul>
<li>Assign this object to the <code>'regressor'</code> variable.</li>
</ul>
</li>
<li>Create a dictionary for <code>'max_depth'</code> with the values from 1 to 10, and assign this to the <code>'params'</code> variable.</li>
<li>Use <a href="http://scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html"><code>make_scorer</code></a> from <code>sklearn.metrics</code> to create a scoring function object.<ul>
<li>Pass the <code>performance_metric</code> function as a parameter to the object.</li>
<li>Assign this scoring function to the <code>'scoring_fnc'</code> variable.</li>
</ul>
</li>
<li>Use <a href="http://scikit-learn.org/0.17/modules/generated/sklearn.grid_search.GridSearchCV.html"><code>GridSearchCV</code></a> from <code>sklearn.grid_search</code> to create a grid search object.<ul>
<li>Pass the variables <code>'regressor'</code>, <code>'params'</code>, <code>'scoring_fnc'</code>, and <code>'cv_sets'</code> as parameters to the object. </li>
<li>Assign the <code>GridSearchCV</code> object to the <code>'grid'</code> variable.</li>
</ul>
</li>
</ul>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Import &#39;make_scorer&#39;, &#39;DecisionTreeRegressor&#39;, and &#39;GridSearchCV&#39;</span>
<span class="kn">from</span> <span class="nn">sklearn.tree</span> <span class="k">import</span> <span class="n">DecisionTreeRegressor</span>
<span class="kn">from</span> <span class="nn">sklearn.metrics</span> <span class="k">import</span> <span class="n">make_scorer</span>
<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="k">import</span> <span class="n">GridSearchCV</span>
<span class="c1"># This didn&#39;t work with sklearn version 0.19.1</span>
<span class="c1"># from sklearn.grid_search import GridSearchCV</span>
<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="k">import</span> <span class="n">ShuffleSplit</span>

<span class="k">def</span> <span class="nf">fit_model</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">y</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot; Performs grid search over the &#39;max_depth&#39; parameter for a </span>
<span class="sd">        decision tree regressor trained on the input data [X, y]. &quot;&quot;&quot;</span>
    
    <span class="c1"># Create cross-validation sets from the training data</span>
    <span class="c1"># sklearn version 0.18: ShuffleSplit(n_splits=10, test_size=0.1, train_size=None, random_state=None)</span>
    <span class="c1"># sklearn versiin 0.17: ShuffleSplit(n, n_iter=10, test_size=0.1, train_size=None, random_state=None)</span>
    <span class="c1"># cv_sets = ShuffleSplit(X.shape[0], n_iter = 10, test_size = 0.20, random_state = 0)</span>
    <span class="n">cv_sets</span> <span class="o">=</span> <span class="n">ShuffleSplit</span><span class="p">(</span><span class="n">n_splits</span> <span class="o">=</span> <span class="mi">10</span><span class="p">,</span> <span class="n">test_size</span> <span class="o">=</span> <span class="mf">0.20</span><span class="p">,</span> <span class="n">random_state</span> <span class="o">=</span> <span class="mi">0</span><span class="p">)</span>

    <span class="c1"># TODO: Create a decision tree regressor object</span>
    <span class="n">regressor</span> <span class="o">=</span> <span class="n">DecisionTreeRegressor</span><span class="p">(</span><span class="n">random_state</span><span class="o">=</span><span class="mi">9</span><span class="p">)</span>

    <span class="c1"># TODO: Create a dictionary for the parameter &#39;max_depth&#39; with a range from 1 to 10</span>
    <span class="n">params</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;max_depth&#39;</span><span class="p">:</span> <span class="p">[</span><span class="n">i</span> <span class="o">+</span> <span class="mi">1</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">10</span><span class="p">)]}</span>

    <span class="c1"># TODO: Transform &#39;performance_metric&#39; into a scoring function using &#39;make_scorer&#39; </span>
    <span class="n">scoring_fnc</span> <span class="o">=</span> <span class="n">make_scorer</span><span class="p">(</span><span class="n">performance_metric</span><span class="p">)</span>

    <span class="c1"># TODO: Create the grid search cv object --&gt; GridSearchCV()</span>
    <span class="c1"># Make sure to include the right parameters in the object:</span>
    <span class="c1"># (estimator, param_grid, scoring, cv) which have values &#39;regressor&#39;, &#39;params&#39;, &#39;scoring_fnc&#39;, and &#39;cv_sets&#39; respectively.</span>
    <span class="n">grid</span> <span class="o">=</span> <span class="n">GridSearchCV</span><span class="p">(</span><span class="n">regressor</span><span class="p">,</span> <span class="n">params</span><span class="p">,</span> <span class="n">scoring_fnc</span><span class="p">,</span> <span class="n">cv</span> <span class="o">=</span> <span class="n">cv_sets</span><span class="p">)</span>

    <span class="c1"># Fit the grid search object to the data to compute the optimal model</span>
    <span class="n">grid</span> <span class="o">=</span> <span class="n">grid</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span>

    <span class="c1"># Return the optimal model after fitting the data</span>
    <span class="k">return</span> <span class="n">grid</span><span class="o">.</span><span class="n">best_estimator_</span>
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<h3 id="Making-Predictions">Making Predictions<a class="anchor-link" href="#Making-Predictions">&#182;</a></h3><p>Once a model has been trained on a given set of data, it can now be used to make predictions on new sets of input data. In the case of a <em>decision tree regressor</em>, the model has learned <em>what the best questions to ask about the input data are</em>, and can respond with a prediction for the <strong>target variable</strong>. You can use these predictions to gain information about data where the value of the target variable is unknown — such as data the model was not trained on.</p>

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<h3 id="Question-9---Optimal-Model">Question 9 - Optimal Model<a class="anchor-link" href="#Question-9---Optimal-Model">&#182;</a></h3><ul>
<li>What maximum depth does the optimal model have? How does this result compare to your guess in <strong>Question 6</strong>?  </li>
</ul>
<p>Run the code block below to fit the decision tree regressor to the training data and produce an optimal model.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Fit the training data to the model using grid search</span>
<span class="n">reg</span> <span class="o">=</span> <span class="n">fit_model</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="c1"># Produce the value for &#39;max_depth&#39;</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Parameter &#39;max_depth&#39; is </span><span class="si">{}</span><span class="s2"> for the optimal model.&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">reg</span><span class="o">.</span><span class="n">get_params</span><span class="p">()[</span><span class="s1">&#39;max_depth&#39;</span><span class="p">]))</span>
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<pre>Parameter &#39;max_depth&#39; is 4 for the optimal model.
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<p><strong> Hint: </strong> The answer comes from the output of the code snipped above.</p>
<p><strong>Answer: </strong>
4</p>

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<h3 id="Question-10---Predicting-Selling-Prices">Question 10 - Predicting Selling Prices<a class="anchor-link" href="#Question-10---Predicting-Selling-Prices">&#182;</a></h3><p>Imagine that you were a real estate agent in the Boston area looking to use this model to help price homes owned by your clients that they wish to sell. You have collected the following information from three of your clients:</p>
<table>
<thead><tr>
<th style="text-align:center">Feature</th>
<th style="text-align:center">Client 1</th>
<th style="text-align:center">Client 2</th>
<th style="text-align:center">Client 3</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:center">Total number of rooms in home</td>
<td style="text-align:center">5 rooms</td>
<td style="text-align:center">4 rooms</td>
<td style="text-align:center">8 rooms</td>
</tr>
<tr>
<td style="text-align:center">Neighborhood poverty level (as %)</td>
<td style="text-align:center">17%</td>
<td style="text-align:center">32%</td>
<td style="text-align:center">3%</td>
</tr>
<tr>
<td style="text-align:center">Student-teacher ratio of nearby schools</td>
<td style="text-align:center">15-to-1</td>
<td style="text-align:center">22-to-1</td>
<td style="text-align:center">12-to-1</td>
</tr>
</tbody>
</table>
<ul>
<li>What price would you recommend each client sell his/her home at? </li>
<li>Do these prices seem reasonable given the values for the respective features? </li>
</ul>
<p><strong>Hint:</strong> Use the statistics you calculated in the <strong>Data Exploration</strong> section to help justify your response.  Of the three clients, client 3 has has the biggest house, in the best public school neighborhood with the lowest poverty level; while client 2 has the smallest house, in a neighborhood with a relatively high poverty rate and not the best public schools.</p>
<p>Run the code block below to have your optimized model make predictions for each client's home.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Produce a matrix for client data</span>
<span class="n">client_data</span> <span class="o">=</span> <span class="p">[[</span><span class="mi">5</span><span class="p">,</span> <span class="mi">17</span><span class="p">,</span> <span class="mi">15</span><span class="p">],</span> <span class="c1"># Client 1</span>
               <span class="p">[</span><span class="mi">4</span><span class="p">,</span> <span class="mi">32</span><span class="p">,</span> <span class="mi">22</span><span class="p">],</span> <span class="c1"># Client 2</span>
               <span class="p">[</span><span class="mi">8</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">12</span><span class="p">]]</span>  <span class="c1"># Client 3</span>

<span class="c1"># Show predictions</span>
<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">price</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">reg</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">client_data</span><span class="p">)):</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Predicted selling price for Client </span><span class="si">{}</span><span class="s2">&#39;s home: $</span><span class="si">{:,.2f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">i</span><span class="o">+</span><span class="mi">1</span><span class="p">,</span> <span class="n">price</span><span class="p">))</span>
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<pre>Predicted selling price for Client 1&#39;s home: $403,025.00
Predicted selling price for Client 2&#39;s home: $237,478.72
Predicted selling price for Client 3&#39;s home: $931,636.36
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<p><strong>Answer: </strong></p>
<p>Predicted selling price for Client 1's home: \$403,025.00</p>
<p>Predicted selling price for Client 2's home: \$237,478.72</p>
<p>Predicted selling price for Client 3's home: \$931,636.36</p>
<p>The prediction seems reasonable because the Client 3's home, which has the biggest 'RM' and the lowest 'LSTAT' and 'PTRATIO', is predicted to be the heighest price among three, whereas the Client 2's home, which has the smallest 'RM' and the lowest 'PTRATIO', is predicted to be the cheapest. The result reflects the hypothesis stated in Question 1 (Feature Observation).</p>

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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">15</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span>

<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">col</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">features</span><span class="o">.</span><span class="n">columns</span><span class="p">):</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="n">i</span><span class="o">+</span><span class="mi">1</span><span class="p">)</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">boxplot</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="n">col</span><span class="p">])</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="n">col</span><span class="p">)</span>
    <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">3</span><span class="p">):</span>
        <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">client_data</span><span class="p">[</span><span class="n">j</span><span class="p">][</span><span class="n">i</span><span class="p">],</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;o&#39;</span><span class="p">)</span>
        <span class="n">plt</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="s1">&#39;Client </span><span class="si">%s</span><span class="s1">&#39;</span> <span class="o">%</span> <span class="nb">str</span><span class="p">(</span><span class="n">j</span><span class="o">+</span><span class="mi">1</span><span class="p">),</span> <span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">client_data</span><span class="p">[</span><span class="n">j</span><span class="p">][</span><span class="n">i</span><span class="p">]))</span>
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<h3 id="Sensitivity">Sensitivity<a class="anchor-link" href="#Sensitivity">&#182;</a></h3><p>An optimal model is not necessarily a robust model. Sometimes, a model is either too complex or too simple to sufficiently generalize to new data. Sometimes, a model could use a learning algorithm that is not appropriate for the structure of the data given. Other times, the data itself could be too noisy or contain too few samples to allow a model to adequately capture the target variable — i.e., the model is underfitted.</p>
<p><strong>Run the code cell below to run the <code>fit_model</code> function ten times with different training and testing sets to see how the prediction for a specific client changes with respect to the data it's trained on.</strong></p>

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<div class="prompt input_prompt">In&nbsp;[13]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">vs</span><span class="o">.</span><span class="n">PredictTrials</span><span class="p">(</span><span class="n">features</span><span class="p">,</span> <span class="n">prices</span><span class="p">,</span> <span class="n">fit_model</span><span class="p">,</span> <span class="n">client_data</span><span class="p">)</span>
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<pre>Trial 1: $391,183.33
Trial 2: $419,700.00
Trial 3: $415,800.00
Trial 4: $420,622.22
Trial 5: $418,377.27
Trial 6: $411,931.58
Trial 7: $399,663.16
Trial 8: $407,232.00
Trial 9: $351,577.61
Trial 10: $413,700.00

Range in prices: $69,044.61
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<h3 id="Question-11---Applicability">Question 11 - Applicability<a class="anchor-link" href="#Question-11---Applicability">&#182;</a></h3><ul>
<li>In a few sentences, discuss whether the constructed model should or should not be used in a real-world setting.  </li>
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<p><strong>Hint:</strong> Take a look at the range in prices as calculated in the code snippet above. Some questions to answering:</p>
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<li>How relevant today is data that was collected from 1978? How important is inflation?</li>
<li>Are the features present in the data sufficient to describe a home? Do you think factors like quality of apppliances in the home, square feet of the plot area, presence of pool or not etc should factor in?</li>
<li>Is the model robust enough to make consistent predictions?</li>
<li>Would data collected in an urban city like Boston be applicable in a rural city?</li>
<li>Is it fair to judge the price of an individual home based on the characteristics of the entire neighborhood?</li>
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<p><strong>Answer: </strong></p>
<p>The constructed model should not be used in a real-world setting for a couple of reasons below.</p>
<p>First, the data is outdated. The model is constructed by the data collected from 1978, which obviously does not reflect the current situation of real estate.</p>
<p>Second, the model is trained by only three features, which results in building an unstable model. In token of that, <i>vs.PredictTrials</i> function shows the prediction by the model has a relatively wide range depending on the training. The data should include more features such as the size of the house, the age, the presence of a pool, the location of the housing, and so on.</p>
<p>Last, all given features are not about the housing itself. They might have a correlation with the housing price, but the feature of the housing itself should be given more importance.</p>

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<blockquote><p><strong>Note</strong>: Once you have completed all of the code implementations and successfully answered each question above, you may finalize your work by exporting the iPython Notebook as an HTML document. You can do this by using the menu above and navigating to<br>
<strong>File -&gt; Download as -&gt; HTML (.html)</strong>. Include the finished document along with this notebook as your submission.</p>
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