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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/machine-learning-databases/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="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</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>Boston housing dataset has 489 data points with 4 variables each.
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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>
</ul>

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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: $165171.13154429474
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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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<p><strong>Answer: </strong></p>
<p>In general, the <code>MDEV</code> should follow the <code>RM</code> value. Therefore, increasing the number of rooms should increase the <code>MDEV</code> value. As such, a home with an <code>RM</code> value of seven should be more valuable than a home with an <code>RM</code> value of six.</p>
<p>$$  MDEV_{RM = 7} &gt; MDEV_{RM = 6}$$</p>
<p>As <code>LSTAT</code> and <code>MDEV</code> are inversely proportional, increasing the <code>LSTAT</code> value would decrease the <code>MDEV</code> value. Therefore, an <code>LSTAT</code> of 15 would have a higher <code>MDEV</code> compared to 20.</p>
<p>$$  MDEV_{LSTAT = 15\%} &gt; MDEV_{LSTAT = 20\%}$$</p>
<p>Finally, as <code>PTRATIO</code> increases, this implies the house is in a impoverished neighborhood, and the <code>MDEV</code> value would decrease.</p>
<p>$$  MDEV_{PTRATIO = 10\%} &gt; MDEV_{PTRATIO = 15\%}$$</p>

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<hr>
<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>
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<div class=" highlight hl-ipython3"><pre><span></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>
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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>
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<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>
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<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>
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</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>
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<pre>Model has a coefficient of determination, R^2, of 0.923.
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<li>Would you consider this model to have successfully captured the variation of the target variable? </li>
<li>Why or why not?</li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Let&#39;s plot the results to see precisely</span>

<span class="n">x</span><span class="o">=</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="n">y</span><span class="o">=</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="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="s1">&#39;-o&#39;</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="s1">&#39;-o&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">()</span><span class="o">.</span><span class="n">fill_between</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">)),</span> 
                       <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> 
                       <span class="n">facecolor</span><span class="o">=</span><span class="s1">&#39;grey&#39;</span><span class="p">,</span> 
                       <span class="n">alpha</span><span class="o">=</span><span class="mf">0.25</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;True Value vs. Estimated Value&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;Data&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;Values&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="s1">&#39;True Value&#39;</span><span class="p">,</span> <span class="s1">&#39;Estimated Value&#39;</span><span class="p">])</span>
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<pre>&lt;matplotlib.legend.Legend at 0x7f33860b7748&gt;</pre>
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<p><strong>Answer:</strong></p>
<p>The R2 score is the proportion of the variance in the dependent variable that is predictable from the independent variable. An R2 score of 0.923 means that 92.3% of the variance in Y is predictable from X.</p>
<p>For non-critical applications, have an R2 score above 0.90 is relatively acceptable. However, for critical applications, this value will not suffice.</p>
<p>Given the data sets of this experiment, the resulting value of R2 = 0.923 has successfully captured the variance of the target 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>
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<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>
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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">0.2</span><span class="p">,</span> <span class="n">train_size</span><span class="o">=</span><span class="mf">0.8</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"># Success</span>
<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;X_total: &quot;</span><span class="p">,</span> <span class="n">features</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;y_total: &quot;</span><span class="p">,</span> <span class="n">prices</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;X_train: &quot;</span><span class="p">,</span> <span class="n">X_train</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;X_test: &quot;</span><span class="p">,</span> <span class="n">X_test</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;y_train: &quot;</span><span class="p">,</span> <span class="n">y_train</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;y_test: &quot;</span><span class="p">,</span> <span class="n">y_test</span><span class="o">.</span><span class="n">shape</span><span class="p">)</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>
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<pre>X_total:  (489, 3)
y_total:  (489,)
X_train:  (391, 3)
X_test:  (98, 3)
y_train:  (391,)
y_test:  (98,)
Training and testing split was successful.
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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>
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<p><strong>Answer: </strong></p>
<p>Splitting the dataset allows for discretizing the data, such that certain data can be isolated and the algorithm can be updated accordingly. Without splitting into subsets, the data will be validated as a whole and will be prone to overfitting as the variance would be too high due to noise.</p>
<p>Another issue is the presence of bias in the learning algorithm's erroneous assumptions. This bias can lead to underfitting when the output and features relationships are mismatched.</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></p>
<p>In general, adding more data points will allow for the training and testing datasets to converge around a particular score.</p>
<p>Selecting <code>max_depth = 3</code> as an example, it can be seen that scores of both the training and testing sets begin to converge around 0.8 as the number of training points increases. At $n=50$, the testing score quickly rises to a value of 0.6, and continues to asymtotically approach its steady-state value. The region that becomes the closest (and steady-state) to the critical score around $n=300$. At this point, there is little need to increase the number of training points.</p>
<p>While adding more training points will ensure a higher accuracy and validation of the dataset, it is not without costs. For embedded devices and platforms (i.e. Jetson TX2), considerations to computational speed, memory, and communication are functional requirements. As such, real-time applications become difficult (or impossible) when maximizing accuracy for neural networks since all of the training points must be stored (memory), send (communication) and processed (CPU/GPU limitations). This is traditionally not a problem in "hardwired" systems such as super computers and military devices, though time is still a "quality requirement". Realistically, the "just barely good enough" (JBGE) approach will lead to meaningful and robust interpretations of the data.</p>
<p>Finally, collecting data requires time and storage as well, especially in raw form. Researches have limited resources, so it is ideal to collect just slightly more data than needed.</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>Answer: </strong></p>
<p>Recall that 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).</p>
<p>When <code>maximum_depth = 1</code>, the model is afflicted by a high bias, as the learning algorithm is not suitable to make accurate assumptions. When <code>maximum_depth = 10</code>, the model is afflicted by a high variance. Their is either too much noise in the data or the model is not flexible enough to capturing relevant features.</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>
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<p><strong>Answer: </strong></p>
<p>The ideal maximum depth is either four or five, utilizing Occam's Razor and intuition.</p>
<p>This choice is derived from considering the relationships between the bias-variance tradeoff. Since the curves become the most balance between a <code>maximum_depth = 3</code> and <code>maximum_depth = 6</code>, the mean value can be taken at <code>maximum_depth = 4.5</code>. However, since the depths are given in the form of integers, a ceiling or floor function will provide the idea range.</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>
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<p><strong>Answer: </strong></p>
<p>The Grid Search algorithm allows for an indepth search of the hyperparameter's subspace. It is conducted by assigning relevant/specific performance metrics that are determined by the user. Initially, $n$ models are created, where $n$ is the number of hyperparameter combinations. The combination with the highest score is then selected.</p>
<p>$C$ is the soft margin cost parameter (misclassification cost), and $\gamma$ (gamma) is the Gaussian radial basis function (Gaussian kernal) parameter. The "ideal" values for these parameters are typically discovered using grid search.</p>
<p>A visualization is provided below:
<img src="https://github.com/Ohara124c41/MLND-Predicting_Boston_Housing_Pricing/blob/master/images/02p4O.png?raw=true" alt="image.png"></p>
<p>Ref: <a href="https://stats.stackexchange.com/questions/208449/hyper-parameter-optimization-grid-search-issues">stackexchange</a></p>
<p>As can be seen up the antidiagonal, certain hyperparameter combinations lead to a higher validation accuracy.</p>
<p>Grid search is used to methodically conduct path planning and decision making. As such, parameter tuning allows for an improved performance, along with various flavors of grid search based on how much detail is required. More specifically, these models lie on a grid. Each one is trained and then evaluted with cross-validation (described below) resulting in the optimal model being selected.</p>
<p>As an example, grid search is often used with Support Vector Machines (SVM) in which the distance between points (usually between two clusters) needs to be optimized to prevent under/overfitting. Utilizing grid search allows for the best model to be selected.</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>
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<p><strong>Answer: </strong></p>
<p>As the name implies, the k-fold cross-validation training technique slices (partitions) the sample in to k-number of subsamples of equal size. k-1 subsets are used to train the data and with the remaining subset/fold used as test data. An estimation is returned based on the average of the results ($n=k$), which is utilized in the finalization of the model and then tested against the test set.</p>
<p>A simple visualization is shown below:
<img src="https://github.com/Ohara124c41/MLND-Predicting_Boston_Housing_Pricing/blob/master/images/1_J2B_bcbd1-s1kpWOu_FZrg.png?raw=true" alt="alt text"></p>
<p>Ref: <a href="https://towardsdatascience.com/train-test-split-and-cross-validation-in-python-80b61beca4b6">towardsdatascience</a></p>
<p>One benefit of using this technique is that each observation is only used once. K-fold is also a non-exhaustive flavor of cross validation, and therefore not as computationally burdensome. However, k values need to be of a size (NB: $k = 10$ is a common initial value), as accuracy can be lost or computational time can increase.</p>
<p>NB: k-fold needs to be used with IID random variables.</p>
<p>Ref: <a href="http://scikit-learn.org/stable/modules/cross_validation.html#cross-validation">scikit-learn</a></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>
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<div class=" highlight hl-ipython3"><pre><span></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.grid_search</span> <span class="k">import</span> <span class="n">GridSearchCV</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="n">cv_sets</span> <span class="o">=</span> <span class="n">ShuffleSplit</span><span class="p">(</span><span class="n">X</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">n_iter</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">regressor</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"># 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="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">11</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</span><span class="o">=</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></p>
<p>"Parameter <code>'max_depth'</code> is 4 for the optimal model."</p>
<p>Based on the personal prediction of a depth of either four or five, the estimation is accurate.</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>
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<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>
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<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>
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<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>
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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: $391,183.33
Predicted selling price for Client 2&#39;s home: $189,123.53
Predicted selling price for Client 3&#39;s home: $942,666.67
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<p><strong>Answer: </strong></p>
<p>Recall the definitions and relationships for the features that are provided in the table:</p>
<ul>
<li>Client 1 - <code>RM=5</code>, <code>LSTAT=17</code>, and <code>PTRATIO=15</code>. </li>
<li>Client 2 - <code>RM=4</code>, <code>LSTAT=32</code>, and <code>PTRATIO=22</code>. </li>
<li>Client 3 - <code>RM=8</code>, <code>LSTAT=3</code>, and <code>PTRATIO=12</code>. </li>
</ul>
<p>Making comparisons will assist in our justifications for determining if the prices seem reasonable.</p>
<p>1) Client 2 has the lowest <code>RM</code>, highest <code>LSTAT</code>, and highest <code>PTRATIO</code> of the three. This would mean that this house is the least valuable. Furthermore, the differences between the <code>LSTAT</code> and <code>PTRATIO</code> of Client 1 (the next closest value) are quite large. Upon inspection, the <code>LSTAT</code> of Client 2 is nearly a 100% increase and the <code>PTRATIO</code> is a 50% increase. Therefore, Client 1's house being a nearly half of the value of Client 2 is reasonable.</p>
<p>2) Client 3 is the inverse of Client 2 in terms of feature values. Client 3 has twice as many rooms (100% increase), half as many students to teachers (50% decrease) and a fractional percentage in terms of the neighborhood poverty level. Without even considering the <code>RM</code> and <code>PTRATIO</code> values, knowing the neighborhood has approximately 97% of its community living <em>above</em> the poverty level, it only makes sense that this house would be quite valuable.</p>
<p>Therefore, based on the results of the optimized model (and feature selection), I would suggest each client sell their house at the recommended value.</p>
<hr>
<p>However, there are a few additional assumptions that can be made (which are outside of the scope of the project) in terms of understanding client behavior:</p>
<ul>
<li>The client needs to sell their house quickly</li>
<li>This information matches data trends from previous years</li>
<li>There is an imminent threat of a predicted market crash</li>
</ul>
<p>The reason for these assumptions is related to the socio-cultural environment of Boston, which is something the algorithm cannot interpret.</p>
<p>In general, housing prices are on the rise in Boston, and it would be more beneficial for the owner to view their home as an investment over a retail transaction.</p>
<p>Ref: <a href="http://www.residentialgroup.com/boston-housing-market-2018-outlook/">residentialgroup</a></p>
<p>Based on the number of rooms, poverty level, and student-teacher ratio for 1978, these prices are fair. However, I would currently recommend the client's to not sell their houses. A larger amount of revenue can be generated while keeping ownership of the house if the rooms were rented out via Airbnb. The target stakeholders would be international university students, persons relocating for technological careers, and entrepreneurs.</p>

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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=" 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><p>In a few sentences, discuss whether the constructed model should or should not be used in a real-world setting.</p>
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<li><p>How relevant today is data that was collected from 1978? How important is inflation?</p>
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<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>The model does not accurately capture all of the relevant features that determine the <em>actual</em> selling price of a house, and thus, should not be used in a real-world setting. Furthermore, the training set contains a negligible amount of 500 houses with only four features. Finally, the model returned a sensitivity of \$70k USD.</p>
<p>Analyzing these values with percent difference (input = Trial 1) around the sensitivity gives more insight into an intuitive answer:</p>
<p>$$ \% Difference = \frac{(\Delta{V})100}{\frac {\sum V}{2}}$$</p>
<p>$$\frac{(\$420,622.22 - \$351,577.61)*100}{\frac {(\$420,622.22 + \$351,577.61)}{2}} = 17.88\%$$</p>
<h5 id="1)-How-relevant-today-is-data-that-was-collected-from-1978?-How-important-is-inflation?">1) How relevant today is data that was collected from 1978? How important is inflation?<a class="anchor-link" href="#1)-How-relevant-today-is-data-that-was-collected-from-1978?-How-important-is-inflation?">&#182;</a></h5><p>Without delving into too much reasoning, the data is irrelevant for today's market. In fact, data from only five years ago (or from 2008) is likely also irrelevant. Inflation, in this example, is only important when retrospectively viewing how much the value of the house would be in comparison to a certain time period.</p>
<p>Recall, the <code>MEDV</code> feature is a time-scaled value that helps estimate when the value difference between two objects based on their features.</p>
<h5 id="2)-Are-the-features-present-in-the-data-sufficient-to-describe-a-home?-Do-you-think-factors-like-quality-of-appliances-in-the-home,-square-feet-of-the-plot-area,-presence-of-pool-or-not-etc-should-factor-in?">2) Are the features present in the data sufficient to describe a home? Do you think factors like quality of appliances in the home, square feet of the plot area, presence of pool or not etc should factor in?<a class="anchor-link" href="#2)-Are-the-features-present-in-the-data-sufficient-to-describe-a-home?-Do-you-think-factors-like-quality-of-appliances-in-the-home,-square-feet-of-the-plot-area,-presence-of-pool-or-not-etc-should-factor-in?">&#182;</a></h5><p>In real life, these factors absolutely impact the selling price of a home, and therefore should be taken into consideration. Again, outside of the scope of this project, these features might increase the "potential value" of a house, but will not necessarily increase the market value. Customers have "purchase power" (PP) which is dependent on "willingness-to-buy."</p>
<p>For example, intuitively, adding a nice pool to a residence would increase the value. However, clients might have children or pet (and thus the pool is a hazard), not be interested in maintenance (pools are expensive), or plan to have a full-yard garden. Thus, a pool is not an asset to these stakeholders, but in fact, a liability.</p>
<h5 id="3)-Is-the-model-robust-enough-to-make-consistent-predictions?">3) Is the model robust enough to make consistent predictions?<a class="anchor-link" href="#3)-Is-the-model-robust-enough-to-make-consistent-predictions?">&#182;</a></h5><p>The model is robust enough under the assumption that future clients are primarily interested in the evaluated features. In reality, models should utilize relevant information and be updated regularly. Thus far, realtors and brokers are still required to make predictions. Lastly, marketing is an extremely important tool for pricing, which can make predictions incorrect (the houses sell better due to targeted marketing, or the houses sell more poorly due to a lack of targeted marketing).</p>
<h5 id="4)-Would-data-collected-in-an-urban-city-like-Boston-be-applicable-in-a-rural-city?">4) Would data collected in an urban city like Boston be applicable in a rural city?<a class="anchor-link" href="#4)-Would-data-collected-in-an-urban-city-like-Boston-be-applicable-in-a-rural-city?">&#182;</a></h5><p>Considering urbanization is a growing megatrend, data collected in any urban area is not applicable to rural areas in general.</p>
<p>Some additional considerations:</p>
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<li>Boston is a city of international acclaim (thanks to Harvard, MIT, and professional sports) of a fame equivalent to Los Angeles, San Francisco, and New York (Manhattan).</li>
<li>A growing number of wealthy individuals are actually moving away from urban areas to escape pollution (both air and noise), crime, and other sociological aspects of city-living.</li>
<li>Both urban and rural cities in different states, regions, and countries have very different characteristics. Each area should be evaluated based on the features, characteristics, and behavior of stakeholders in these areas.</li>
<li>Suburban areas are rising as the economic hubs in nearly all cities. These suburban cities then grow (and change due to logistics) which influences the "spectrum" of transitions from urban to rural areas. </li>
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<h5 id="5)-Is-it-fair-to-judge-the-price-of-an-individual-home-based-on-the-characteristics-of-the-entire-neighborhood?">5) Is it fair to judge the price of an individual home based on the characteristics of the entire neighborhood?<a class="anchor-link" href="#5)-Is-it-fair-to-judge-the-price-of-an-individual-home-based-on-the-characteristics-of-the-entire-neighborhood?">&#182;</a></h5><p>As always, we say "it depends." On one hand, a neighborhood has a large influence on the pricing values (min, mean, max) of a house. Conversely, the home value is also based on independent features (architecture style, proximately to other structures/transportation, history) that play a role in the stakeholder's willingness-to-buy.</p>

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