Logistic_Regression_with_a_Neural_Network_mindset.html

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

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

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

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

*/
.highlight-base {
  color: #000;
}
.highlight-variable {
  color: #000;
}
.highlight-variable-2 {
  color: #1a1a1a;
}
.highlight-variable-3 {
  color: #333333;
}
.highlight-string {
  color: #BA2121;
}
.highlight-comment {
  color: #408080;
  font-style: italic;
}
.highlight-number {
  color: #080;
}
.highlight-atom {
  color: #88F;
}
.highlight-keyword {
  color: #008000;
  font-weight: bold;
}
.highlight-builtin {
  color: #008000;
}
.highlight-error {
  color: #f00;
}
.highlight-operator {
  color: #AA22FF;
  font-weight: bold;
}
.highlight-meta {
  color: #AA22FF;
}
/* previously not defined, copying from default codemirror */
.highlight-def {
  color: #00f;
}
.highlight-string-2 {
  color: #f50;
}
.highlight-qualifier {
  color: #555;
}
.highlight-bracket {
  color: #997;
}
.highlight-tag {
  color: #170;
}
.highlight-attribute {
  color: #00c;
}
.highlight-header {
  color: blue;
}
.highlight-quote {
  color: #090;
}
.highlight-link {
  color: #00c;
}
/* apply the same style to codemirror */
.cm-s-ipython span.cm-keyword {
  color: #008000;
  font-weight: bold;
}
.cm-s-ipython span.cm-atom {
  color: #88F;
}
.cm-s-ipython span.cm-number {
  color: #080;
}
.cm-s-ipython span.cm-def {
  color: #00f;
}
.cm-s-ipython span.cm-variable {
  color: #000;
}
.cm-s-ipython span.cm-operator {
  color: #AA22FF;
  font-weight: bold;
}
.cm-s-ipython span.cm-variable-2 {
  color: #1a1a1a;
}
.cm-s-ipython span.cm-variable-3 {
  color: #333333;
}
.cm-s-ipython span.cm-comment {
  color: #408080;
  font-style: italic;
}
.cm-s-ipython span.cm-string {
  color: #BA2121;
}
.cm-s-ipython span.cm-string-2 {
  color: #f50;
}
.cm-s-ipython span.cm-meta {
  color: #AA22FF;
}
.cm-s-ipython span.cm-qualifier {
  color: #555;
}
.cm-s-ipython span.cm-builtin {
  color: #008000;
}
.cm-s-ipython span.cm-bracket {
  color: #997;
}
.cm-s-ipython span.cm-tag {
  color: #170;
}
.cm-s-ipython span.cm-attribute {
  color: #00c;
}
.cm-s-ipython span.cm-header {
  color: blue;
}
.cm-s-ipython span.cm-quote {
  color: #090;
}
.cm-s-ipython span.cm-link {
  color: #00c;
}
.cm-s-ipython span.cm-error {
  color: #f00;
}
.cm-s-ipython span.cm-tab {
  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
  background-position: right;
  background-repeat: no-repeat;
}
div.output_wrapper {
  /* this position must be relative to enable descendents to be absolute within it */
  position: relative;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  z-index: 1;
}
/* class for the output area when it should be height-limited */
div.output_scroll {
  /* ideally, this would be max-height, but FF barfs all over that */
  height: 24em;
  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
  width: 100%;
  overflow: auto;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  display: block;
}
/* output div while it is collapsed */
div.output_collapsed {
  margin: 0px;
  padding: 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
div.out_prompt_overlay {
  height: 100%;
  padding: 0px 0.4em;
  position: absolute;
  border-radius: 2px;
}
div.out_prompt_overlay:hover {
  /* use inner shadow to get border that is computed the same on WebKit/FF */
  -webkit-box-shadow: inset 0 0 1px #000;
  box-shadow: inset 0 0 1px #000;
  background: rgba(240, 240, 240, 0.5);
}
div.output_prompt {
  color: #D84315;
}
/* This class is the outer container of all output sections. */
div.output_area {
  padding: 0px;
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.output_area .MathJax_Display {
  text-align: left !important;
}
div.output_area .rendered_html table {
  margin-left: 0;
  margin-right: 0;
}
div.output_area .rendered_html img {
  margin-left: 0;
  margin-right: 0;
}
div.output_area img,
div.output_area svg {
  max-width: 100%;
  height: auto;
}
div.output_area img.unconfined,
div.output_area svg.unconfined {
  max-width: none;
}
div.output_area .mglyph > img {
  max-width: none;
}
/* This is needed to protect the pre formating from global settings such
   as that of bootstrap */
.output {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.output_area {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
div.output_area pre {
  margin: 0;
  padding: 1px 0 1px 0;
  border: 0;
  vertical-align: baseline;
  color: black;
  background-color: transparent;
  border-radius: 0;
}
/* This class is for the output subarea inside the output_area and after
   the prompt div. */
div.output_subarea {
  overflow-x: auto;
  padding: 0.4em;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
  max-width: calc(100% - 14ex);
}
div.output_scroll div.output_subarea {
  overflow-x: visible;
}
/* The rest of the output_* classes are for special styling of the different
   output types */
/* all text output has this class: */
div.output_text {
  text-align: left;
  color: #000;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
}
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
div.output_stderr {
  background: #fdd;
  /* very light red background for stderr */
}
div.output_latex {
  text-align: left;
}
/* Empty output_javascript divs should have no height */
div.output_javascript:empty {
  padding: 0;
}
.js-error {
  color: darkred;
}
/* raw_input styles */
div.raw_input_container {
  line-height: 1.21429em;
  padding-top: 5px;
}
pre.raw_input_prompt {
  /* nothing needed here. */
}
input.raw_input {
  font-family: monospace;
  font-size: inherit;
  color: inherit;
  width: auto;
  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;
  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0em 0.25em;
  margin: 0em 0.25em;
}
input.raw_input:focus {
  box-shadow: none;
}
p.p-space {
  margin-bottom: 10px;
}
div.output_unrecognized {
  padding: 5px;
  font-weight: bold;
  color: red;
}
div.output_unrecognized a {
  color: inherit;
  text-decoration: none;
}
div.output_unrecognized a:hover {
  color: inherit;
  text-decoration: none;
}
.rendered_html {
  color: #000;
  /* any extras will just be numbers: */
}
.rendered_html em {
  font-style: italic;
}
.rendered_html strong {
  font-weight: bold;
}
.rendered_html u {
  text-decoration: underline;
}
.rendered_html :link {
  text-decoration: underline;
}
.rendered_html :visited {
  text-decoration: underline;
}
.rendered_html h1 {
  font-size: 185.7%;
  margin: 1.08em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h2 {
  font-size: 157.1%;
  margin: 1.27em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h3 {
  font-size: 128.6%;
  margin: 1.55em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h4 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h5 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h6 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h1:first-child {
  margin-top: 0.538em;
}
.rendered_html h2:first-child {
  margin-top: 0.636em;
}
.rendered_html h3:first-child {
  margin-top: 0.777em;
}
.rendered_html h4:first-child {
  margin-top: 1em;
}
.rendered_html h5:first-child {
  margin-top: 1em;
}
.rendered_html h6:first-child {
  margin-top: 1em;
}
.rendered_html ul:not(.list-inline),
.rendered_html ol:not(.list-inline) {
  padding-left: 2em;
}
.rendered_html ul {
  list-style: disc;
}
.rendered_html ul ul {
  list-style: square;
  margin-top: 0;
}
.rendered_html ul ul ul {
  list-style: circle;
}
.rendered_html ol {
  list-style: decimal;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin-top: 0;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
}
.rendered_html * + ul {
  margin-top: 1em;
}
.rendered_html * + ol {
  margin-top: 1em;
}
.rendered_html hr {
  color: black;
  background-color: black;
}
.rendered_html pre {
  margin: 1em 2em;
  padding: 0px;
  background-color: #fff;
}
.rendered_html code {
  background-color: #eff0f1;
}
.rendered_html p code {
  padding: 1px 5px;
}
.rendered_html pre code {
  background-color: #fff;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  color: #000;
  font-size: 100%;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: none;
  border-collapse: collapse;
  border-spacing: 0;
  color: black;
  font-size: 12px;
  table-layout: fixed;
}
.rendered_html thead {
  border-bottom: 1px solid black;
  vertical-align: bottom;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  text-align: right;
  vertical-align: middle;
  padding: 0.5em 0.5em;
  line-height: normal;
  white-space: normal;
  max-width: none;
  border: none;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html tbody tr:nth-child(odd) {
  background: #f5f5f5;
}
.rendered_html tbody tr:hover {
  background: rgba(66, 165, 245, 0.2);
}
.rendered_html * + table {
  margin-top: 1em;
}
.rendered_html p {
  text-align: left;
}
.rendered_html * + p {
  margin-top: 1em;
}
.rendered_html img {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.rendered_html * + img {
  margin-top: 1em;
}
.rendered_html img,
.rendered_html svg {
  max-width: 100%;
  height: auto;
}
.rendered_html img.unconfined,
.rendered_html svg.unconfined {
  max-width: none;
}
.rendered_html .alert {
  margin-bottom: initial;
}
.rendered_html * + .alert {
  margin-top: 1em;
}
[dir="rtl"] .rendered_html p {
  text-align: right;
}
div.text_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.text_cell > div.prompt {
    display: none;
  }
}
div.text_cell_render {
  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
  outline: none;
  resize: none;
  width: inherit;
  border-style: none;
  padding: 0.5em 0.5em 0.5em 0.4em;
  color: #000;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
a.anchor-link:link {
  text-decoration: none;
  padding: 0px 20px;
  visibility: hidden;
}
h1:hover .anchor-link,
h2:hover .anchor-link,
h3:hover .anchor-link,
h4:hover .anchor-link,
h5:hover .anchor-link,
h6:hover .anchor-link {
  visibility: visible;
}
.text_cell.rendered .input_area {
  display: none;
}
.text_cell.rendered .rendered_html {
  overflow-x: auto;
  overflow-y: hidden;
}
.text_cell.rendered .rendered_html tr,
.text_cell.rendered .rendered_html th,
.text_cell.rendered .rendered_html td {
  max-width: none;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.text_cell .dropzone .input_area {
  border: 2px dashed #bababa;
  margin: -1px;
}
.cm-header-1,
.cm-header-2,
.cm-header-3,
.cm-header-4,
.cm-header-5,
.cm-header-6 {
  font-weight: bold;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.cm-header-1 {
  font-size: 185.7%;
}
.cm-header-2 {
  font-size: 157.1%;
}
.cm-header-3 {
  font-size: 128.6%;
}
.cm-header-4 {
  font-size: 110%;
}
.cm-header-5 {
  font-size: 100%;
  font-style: italic;
}
.cm-header-6 {
  font-size: 100%;
  font-style: italic;
}
/*!
*
* IPython notebook webapp
*
*/
@media (max-width: 767px) {
  .notebook_app {
    padding-left: 0px;
    padding-right: 0px;
  }
}
#ipython-main-app {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook_panel {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook {
  font-size: 14px;
  line-height: 20px;
  overflow-y: hidden;
  overflow-x: auto;
  width: 100%;
  /* This spaces the page away from the edge of the notebook area */
  padding-top: 20px;
  margin: 0px;
  outline: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  min-height: 100%;
}
@media not print {
  #notebook-container {
    padding: 15px;
    background-color: #fff;
    min-height: 0;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
@media print {
  #notebook-container {
    width: 100%;
  }
}
div.ui-widget-content {
  border: 1px solid #ababab;
  outline: none;
}
pre.dialog {
  background-color: #f7f7f7;
  border: 1px solid #ddd;
  border-radius: 2px;
  padding: 0.4em;
  padding-left: 2em;
}
p.dialog {
  padding: 0.2em;
}
/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
 */
pre,
code,
kbd,
samp {
  white-space: pre-wrap;
}
#fonttest {
  font-family: monospace;
}
p {
  margin-bottom: 0;
}
.end_space {
  min-height: 100px;
  transition: height .2s ease;
}
.notebook_app > #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
@media not print {
  .notebook_app {
    background-color: #EEE;
  }
}
kbd {
  border-style: solid;
  border-width: 1px;
  box-shadow: none;
  margin: 2px;
  padding-left: 2px;
  padding-right: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
.jupyter-keybindings {
  padding: 1px;
  line-height: 24px;
  border-bottom: 1px solid gray;
}
.jupyter-keybindings input {
  margin: 0;
  padding: 0;
  border: none;
}
.jupyter-keybindings i {
  padding: 6px;
}
.well code {
  background-color: #ffffff;
  border-color: #ababab;
  border-width: 1px;
  border-style: solid;
  padding: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
/* CSS for the cell toolbar */
.celltoolbar {
  border: thin solid #CFCFCF;
  border-bottom: none;
  background: #EEE;
  border-radius: 2px 2px 0px 0px;
  width: 100%;
  height: 29px;
  padding-right: 4px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
  display: -webkit-flex;
}
@media print {
  .celltoolbar {
    display: none;
  }
}
.ctb_hideshow {
  display: none;
  vertical-align: bottom;
}
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
   Cell toolbars are only shown when the ctb_global_show class is also set.
*/
.ctb_global_show .ctb_show.ctb_hideshow {
  display: block;
}
.ctb_global_show .ctb_show + .input_area,
.ctb_global_show .ctb_show + div.text_cell_input,
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border-top-right-radius: 0px;
  border-top-left-radius: 0px;
}
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border: 1px solid #cfcfcf;
}
.celltoolbar {
  font-size: 87%;
  padding-top: 3px;
}
.celltoolbar select {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  width: inherit;
  font-size: inherit;
  height: 22px;
  padding: 0px;
  display: inline-block;
}
.celltoolbar select:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.celltoolbar select::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.celltoolbar select:-ms-input-placeholder {
  color: #999;
}
.celltoolbar select::-webkit-input-placeholder {
  color: #999;
}
.celltoolbar select::-ms-expand {
  border: 0;
  background-color: transparent;
}
.celltoolbar select[disabled],
.celltoolbar select[readonly],
fieldset[disabled] .celltoolbar select {
  background-color: #eeeeee;
  opacity: 1;
}
.celltoolbar select[disabled],
fieldset[disabled] .celltoolbar select {
  cursor: not-allowed;
}
textarea.celltoolbar select {
  height: auto;
}
select.celltoolbar select {
  height: 30px;
  line-height: 30px;
}
textarea.celltoolbar select,
select[multiple].celltoolbar select {
  height: auto;
}
.celltoolbar label {
  margin-left: 5px;
  margin-right: 5px;
}
.tags_button_container {
  width: 100%;
  display: flex;
}
.tag-container {
  display: flex;
  flex-direction: row;
  flex-grow: 1;
  overflow: hidden;
  position: relative;
}
.tag-container > * {
  margin: 0 4px;
}
.remove-tag-btn {
  margin-left: 4px;
}
.tags-input {
  display: flex;
}
.cell-tag:last-child:after {
  content: "";
  position: absolute;
  right: 0;
  width: 40px;
  height: 100%;
  /* Fade to background color of cell toolbar */
  background: linear-gradient(to right, rgba(0, 0, 0, 0), #EEE);
}
.tags-input > * {
  margin-left: 4px;
}
.cell-tag,
.tags-input input,
.tags-input button {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  box-shadow: none;
  width: inherit;
  font-size: inherit;
  height: 22px;
  line-height: 22px;
  padding: 0px 4px;
  display: inline-block;
}
.cell-tag:focus,
.tags-input input:focus,
.tags-input button:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.cell-tag::-moz-placeholder,
.tags-input input::-moz-placeholder,
.tags-input button::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.cell-tag:-ms-input-placeholder,
.tags-input input:-ms-input-placeholder,
.tags-input button:-ms-input-placeholder {
  color: #999;
}
.cell-tag::-webkit-input-placeholder,
.tags-input input::-webkit-input-placeholder,
.tags-input button::-webkit-input-placeholder {
  color: #999;
}
.cell-tag::-ms-expand,
.tags-input input::-ms-expand,
.tags-input button::-ms-expand {
  border: 0;
  background-color: transparent;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
.cell-tag[readonly],
.tags-input input[readonly],
.tags-input button[readonly],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  background-color: #eeeeee;
  opacity: 1;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  cursor: not-allowed;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button {
  height: auto;
}
select.cell-tag,
select.tags-input input,
select.tags-input button {
  height: 30px;
  line-height: 30px;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button,
select[multiple].cell-tag,
select[multiple].tags-input input,
select[multiple].tags-input button {
  height: auto;
}
.cell-tag,
.tags-input button {
  padding: 0px 4px;
}
.cell-tag {
  background-color: #fff;
  white-space: nowrap;
}
.tags-input input[type=text]:focus {
  outline: none;
  box-shadow: none;
  border-color: #ccc;
}
.completions {
  position: absolute;
  z-index: 110;
  overflow: hidden;
  border: 1px solid #ababab;
  border-radius: 2px;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  line-height: 1;
}
.completions select {
  background: white;
  outline: none;
  border: none;
  padding: 0px;
  margin: 0px;
  overflow: auto;
  font-family: monospace;
  font-size: 110%;
  color: #000;
  width: auto;
}
.completions select option.context {
  color: #286090;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
[dir="rtl"] #kernel_logo_widget {
  float: left !important;
  float: left;
}
.modal .modal-body .move-path {
  display: flex;
  flex-direction: row;
  justify-content: space;
  align-items: center;
}
.modal .modal-body .move-path .server-root {
  padding-right: 20px;
}
.modal .modal-body .move-path .path-input {
  flex: 1;
}
#menubar {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  margin-top: 1px;
}
#menubar .navbar {
  border-top: 1px;
  border-radius: 0px 0px 2px 2px;
  margin-bottom: 0px;
}
#menubar .navbar-toggle {
  float: left;
  padding-top: 7px;
  padding-bottom: 7px;
  border: none;
}
#menubar .navbar-collapse {
  clear: left;
}
[dir="rtl"] #menubar .navbar-toggle {
  float: right;
}
[dir="rtl"] #menubar .navbar-collapse {
  clear: right;
}
[dir="rtl"] #menubar .navbar-nav {
  float: right;
}
[dir="rtl"] #menubar .nav {
  padding-right: 0px;
}
[dir="rtl"] #menubar .navbar-nav > li {
  float: right;
}
[dir="rtl"] #menubar .navbar-right {
  float: left !important;
}
[dir="rtl"] ul.dropdown-menu {
  text-align: right;
  left: auto;
}
[dir="rtl"] ul#new-menu.dropdown-menu {
  right: auto;
  left: 0;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
[dir="rtl"] i.menu-icon.pull-right {
  float: left !important;
  float: left;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
[dir="rtl"] ul#help_menu li a {
  padding-left: 2.2em;
}
[dir="rtl"] ul#help_menu li a i {
  margin-right: 0;
  margin-left: -1.2em;
}
[dir="rtl"] ul#help_menu li a i.pull-right {
  float: left !important;
  float: left;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
[dir="rtl"] .dropdown-submenu > .dropdown-menu {
  right: 100%;
  margin-right: -1px;
}
.dropdown-submenu:hover > .dropdown-menu {
  display: block;
}
.dropdown-submenu > a:after {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  display: block;
  content: "\f0da";
  float: right;
  color: #333333;
  margin-top: 2px;
  margin-right: -10px;
}
.dropdown-submenu > a:after.fa-pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.fa-pull-right {
  margin-left: .3em;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
[dir="rtl"] .dropdown-submenu > a:after {
  float: left;
  content: "\f0d9";
  margin-right: 0;
  margin-left: -10px;
}
.dropdown-submenu:hover > a:after {
  color: #262626;
}
.dropdown-submenu.pull-left {
  float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
  left: -100%;
  margin-left: 10px;
}
#notification_area {
  float: right !important;
  float: right;
  z-index: 10;
}
[dir="rtl"] #notification_area {
  float: left !important;
  float: left;
}
.indicator_area {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] .indicator_area {
  float: left !important;
  float: left;
}
#kernel_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  border-left: 1px solid;
}
#kernel_indicator .kernel_indicator_name {
  padding-left: 5px;
  padding-right: 5px;
}
[dir="rtl"] #kernel_indicator {
  float: left !important;
  float: left;
  border-left: 0;
  border-right: 1px solid;
}
#modal_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] #modal_indicator {
  float: left !important;
  float: left;
}
#readonly-indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  margin-top: 2px;
  margin-bottom: 0px;
  margin-left: 0px;
  margin-right: 0px;
  display: none;
}
.modal_indicator:before {
  width: 1.28571429em;
  text-align: center;
}
.edit_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f040";
}
.edit_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.edit_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: ' ';
}
.command_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f10c";
}
.kernel_idle_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f111";
}
.kernel_busy_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f1e2";
}
.kernel_dead_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f127";
}
.kernel_disconnected_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.pull-right {
  margin-left: .3em;
}
.notification_widget {
  color: #777;
  z-index: 10;
  background: rgba(240, 240, 240, 0.5);
  margin-right: 4px;
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget:focus,
.notification_widget.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.notification_widget:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active:hover,
.notification_widget.active:hover,
.open > .dropdown-toggle.notification_widget:hover,
.notification_widget:active:focus,
.notification_widget.active:focus,
.open > .dropdown-toggle.notification_widget:focus,
.notification_widget:active.focus,
.notification_widget.active.focus,
.open > .dropdown-toggle.notification_widget.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  background-image: none;
}
.notification_widget.disabled:hover,
.notification_widget[disabled]:hover,
fieldset[disabled] .notification_widget:hover,
.notification_widget.disabled:focus,
.notification_widget[disabled]:focus,
fieldset[disabled] .notification_widget:focus,
.notification_widget.disabled.focus,
.notification_widget[disabled].focus,
fieldset[disabled] .notification_widget.focus {
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget .badge {
  color: #fff;
  background-color: #333;
}
.notification_widget.warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning:focus,
.notification_widget.warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.notification_widget.warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active:hover,
.notification_widget.warning.active:hover,
.open > .dropdown-toggle.notification_widget.warning:hover,
.notification_widget.warning:active:focus,
.notification_widget.warning.active:focus,
.open > .dropdown-toggle.notification_widget.warning:focus,
.notification_widget.warning:active.focus,
.notification_widget.warning.active.focus,
.open > .dropdown-toggle.notification_widget.warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  background-image: none;
}
.notification_widget.warning.disabled:hover,
.notification_widget.warning[disabled]:hover,
fieldset[disabled] .notification_widget.warning:hover,
.notification_widget.warning.disabled:focus,
.notification_widget.warning[disabled]:focus,
fieldset[disabled] .notification_widget.warning:focus,
.notification_widget.warning.disabled.focus,
.notification_widget.warning[disabled].focus,
fieldset[disabled] .notification_widget.warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.notification_widget.success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success:focus,
.notification_widget.success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.notification_widget.success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active:hover,
.notification_widget.success.active:hover,
.open > .dropdown-toggle.notification_widget.success:hover,
.notification_widget.success:active:focus,
.notification_widget.success.active:focus,
.open > .dropdown-toggle.notification_widget.success:focus,
.notification_widget.success:active.focus,
.notification_widget.success.active.focus,
.open > .dropdown-toggle.notification_widget.success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  background-image: none;
}
.notification_widget.success.disabled:hover,
.notification_widget.success[disabled]:hover,
fieldset[disabled] .notification_widget.success:hover,
.notification_widget.success.disabled:focus,
.notification_widget.success[disabled]:focus,
fieldset[disabled] .notification_widget.success:focus,
.notification_widget.success.disabled.focus,
.notification_widget.success[disabled].focus,
fieldset[disabled] .notification_widget.success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.notification_widget.info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info:focus,
.notification_widget.info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.notification_widget.info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active:hover,
.notification_widget.info.active:hover,
.open > .dropdown-toggle.notification_widget.info:hover,
.notification_widget.info:active:focus,
.notification_widget.info.active:focus,
.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  background-image: none;
}
.notification_widget.info.disabled:hover,
.notification_widget.info[disabled]:hover,
fieldset[disabled] .notification_widget.info:hover,
.notification_widget.info.disabled:focus,
.notification_widget.info[disabled]:focus,
fieldset[disabled] .notification_widget.info:focus,
.notification_widget.info.disabled.focus,
.notification_widget.info[disabled].focus,
fieldset[disabled] .notification_widget.info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.notification_widget.danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger:focus,
.notification_widget.danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.notification_widget.danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active:hover,
.notification_widget.danger.active:hover,
.open > .dropdown-toggle.notification_widget.danger:hover,
.notification_widget.danger:active:focus,
.notification_widget.danger.active:focus,
.open > .dropdown-toggle.notification_widget.danger:focus,
.notification_widget.danger:active.focus,
.notification_widget.danger.active.focus,
.open > .dropdown-toggle.notification_widget.danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  background-image: none;
}
.notification_widget.danger.disabled:hover,
.notification_widget.danger[disabled]:hover,
fieldset[disabled] .notification_widget.danger:hover,
.notification_widget.danger.disabled:focus,
.notification_widget.danger[disabled]:focus,
fieldset[disabled] .notification_widget.danger:focus,
.notification_widget.danger.disabled.focus,
.notification_widget.danger[disabled].focus,
fieldset[disabled] .notification_widget.danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger .badge {
  color: #d9534f;
  background-color: #fff;
}
div#pager {
  background-color: #fff;
  font-size: 14px;
  line-height: 20px;
  overflow: hidden;
  display: none;
  position: fixed;
  bottom: 0px;
  width: 100%;
  max-height: 50%;
  padding-top: 8px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  /* Display over codemirror */
  z-index: 100;
  /* Hack which prevents jquery ui resizable from changing top. */
  top: auto !important;
}
div#pager pre {
  line-height: 1.21429em;
  color: #000;
  background-color: #f7f7f7;
  padding: 0.4em;
}
div#pager #pager-button-area {
  position: absolute;
  top: 8px;
  right: 20px;
}
div#pager #pager-contents {
  position: relative;
  overflow: auto;
  width: 100%;
  height: 100%;
}
div#pager #pager-contents #pager-container {
  position: relative;
  padding: 15px 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
div#pager .ui-resizable-handle {
  top: 0px;
  height: 8px;
  background: #f7f7f7;
  border-top: 1px solid #cfcfcf;
  border-bottom: 1px solid #cfcfcf;
  /* This injects handle bars (a short, wide = symbol) for 
        the resize handle. */
}
div#pager .ui-resizable-handle::after {
  content: '';
  top: 2px;
  left: 50%;
  height: 3px;
  width: 30px;
  margin-left: -15px;
  position: absolute;
  border-top: 1px solid #cfcfcf;
}
.quickhelp {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  line-height: 1.8em;
}
.shortcut_key {
  display: inline-block;
  width: 21ex;
  text-align: right;
  font-family: monospace;
}
.shortcut_descr {
  display: inline-block;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
span.save_widget {
  height: 30px;
  margin-top: 4px;
  display: flex;
  justify-content: flex-start;
  align-items: baseline;
  width: 50%;
  flex: 1;
}
span.save_widget span.filename {
  height: 100%;
  line-height: 1em;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  text-overflow: ellipsis;
  overflow: hidden;
  white-space: nowrap;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
[dir="rtl"] span.save_widget.pull-left {
  float: right !important;
  float: right;
}
[dir="rtl"] span.save_widget span.filename {
  margin-left: 0;
  margin-right: 16px;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
  white-space: nowrap;
  padding: 0 5px;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
    padding: 0 0 0 5px;
  }
  span.checkpoint_status,
  span.autosave_status {
    display: none;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  span.checkpoint_status {
    display: none;
  }
  span.autosave_status {
    font-size: x-small;
  }
}
.toolbar {
  padding: 0px;
  margin-left: -5px;
  margin-top: 2px;
  margin-bottom: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.toolbar select,
.toolbar label {
  width: auto;
  vertical-align: middle;
  margin-right: 2px;
  margin-bottom: 0px;
  display: inline;
  font-size: 92%;
  margin-left: 0.3em;
  margin-right: 0.3em;
  padding: 0px;
  padding-top: 3px;
}
.toolbar .btn {
  padding: 2px 8px;
}
.toolbar .btn-group {
  margin-top: 0px;
  margin-left: 5px;
}
.toolbar-btn-label {
  margin-left: 6px;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
  min-height: 27px;
  margin-left: 0px;
  padding-top: 11px;
  padding-bottom: 3px;
}
#maintoolbar .navbar-text {
  float: none;
  vertical-align: middle;
  text-align: right;
  margin-left: 5px;
  margin-right: 0px;
  margin-top: 0px;
}
.select-xs {
  height: 24px;
}
[dir="rtl"] .btn-group > .btn,
.btn-group-vertical > .btn {
  float: right;
}
.pulse,
.dropdown-menu > li > a.pulse,
li.pulse > a.dropdown-toggle,
li.pulse.open > a.dropdown-toggle {
  background-color: #F37626;
  color: white;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
/** WARNING IF YOU ARE EDITTING THIS FILE, if this is a .css file, It has a lot
 * of chance of beeing generated from the ../less/[samename].less file, you can
 * try to get back the less file by reverting somme commit in history
 **/
/*
 * We'll try to get something pretty, so we
 * have some strange css to have the scroll bar on
 * the left with fix button on the top right of the tooltip
 */
@-moz-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-webkit-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-moz-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
@-webkit-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
/*properties of tooltip after "expand"*/
.bigtooltip {
  overflow: auto;
  height: 200px;
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
}
/*properties of tooltip before "expand"*/
.smalltooltip {
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
  text-overflow: ellipsis;
  overflow: hidden;
  height: 80px;
}
.tooltipbuttons {
  position: absolute;
  padding-right: 15px;
  top: 0px;
  right: 0px;
}
.tooltiptext {
  /*avoid the button to overlap on some docstring*/
  padding-right: 30px;
}
.ipython_tooltip {
  max-width: 700px;
  /*fade-in animation when inserted*/
  -webkit-animation: fadeOut 400ms;
  -moz-animation: fadeOut 400ms;
  animation: fadeOut 400ms;
  -webkit-animation: fadeIn 400ms;
  -moz-animation: fadeIn 400ms;
  animation: fadeIn 400ms;
  vertical-align: middle;
  background-color: #f7f7f7;
  overflow: visible;
  border: #ababab 1px solid;
  outline: none;
  padding: 3px;
  margin: 0px;
  padding-left: 7px;
  font-family: monospace;
  min-height: 50px;
  -moz-box-shadow: 0px 6px 10px -1px #adadad;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  border-radius: 2px;
  position: absolute;
  z-index: 1000;
}
.ipython_tooltip a {
  float: right;
}
.ipython_tooltip .tooltiptext pre {
  border: 0;
  border-radius: 0;
  font-size: 100%;
  background-color: #f7f7f7;
}
.pretooltiparrow {
  left: 0px;
  margin: 0px;
  top: -16px;
  width: 40px;
  height: 16px;
  overflow: hidden;
  position: absolute;
}
.pretooltiparrow:before {
  background-color: #f7f7f7;
  border: 1px #ababab solid;
  z-index: 11;
  content: "";
  position: absolute;
  left: 15px;
  top: 10px;
  width: 25px;
  height: 25px;
  -webkit-transform: rotate(45deg);
  -moz-transform: rotate(45deg);
  -ms-transform: rotate(45deg);
  -o-transform: rotate(45deg);
}
ul.typeahead-list i {
  margin-left: -10px;
  width: 18px;
}
[dir="rtl"] ul.typeahead-list i {
  margin-left: 0;
  margin-right: -10px;
}
ul.typeahead-list {
  max-height: 80vh;
  overflow: auto;
}
ul.typeahead-list > li > a {
  /** Firefox bug **/
  /* see https://github.com/jupyter/notebook/issues/559 */
  white-space: normal;
}
ul.typeahead-list  > li > a.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .typeahead-list {
  text-align: right;
}
.cmd-palette .modal-body {
  padding: 7px;
}
.cmd-palette form {
  background: white;
}
.cmd-palette input {
  outline: none;
}
.no-shortcut {
  min-width: 20px;
  color: transparent;
}
[dir="rtl"] .no-shortcut.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .command-shortcut.pull-right {
  float: left !important;
  float: left;
}
.command-shortcut:before {
  content: "(command mode)";
  padding-right: 3px;
  color: #777777;
}
.edit-shortcut:before {
  content: "(edit)";
  padding-right: 3px;
  color: #777777;
}
[dir="rtl"] .edit-shortcut.pull-right {
  float: left !important;
  float: left;
}
#find-and-replace #replace-preview .match,
#find-and-replace #replace-preview .insert {
  background-color: #BBDEFB;
  border-color: #90CAF9;
  border-style: solid;
  border-width: 1px;
  border-radius: 0px;
}
[dir="ltr"] #find-and-replace .input-group-btn + .form-control {
  border-left: none;
}
[dir="rtl"] #find-and-replace .input-group-btn + .form-control {
  border-right: none;
}
#find-and-replace #replace-preview .replace .match {
  background-color: #FFCDD2;
  border-color: #EF9A9A;
  border-radius: 0px;
}
#find-and-replace #replace-preview .replace .insert {
  background-color: #C8E6C9;
  border-color: #A5D6A7;
  border-radius: 0px;
}
#find-and-replace #replace-preview {
  max-height: 60vh;
  overflow: auto;
}
#find-and-replace #replace-preview pre {
  padding: 5px 10px;
}
.terminal-app {
  background: #EEE;
}
.terminal-app #header {
  background: #fff;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.terminal-app .terminal {
  width: 100%;
  float: left;
  font-family: monospace;
  color: white;
  background: black;
  padding: 0.4em;
  border-radius: 2px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
}
.terminal-app .terminal,
.terminal-app .terminal dummy-screen {
  line-height: 1em;
  font-size: 14px;
}
.terminal-app .terminal .xterm-rows {
  padding: 10px;
}
.terminal-app .terminal-cursor {
  color: black;
  background: white;
}
.terminal-app #terminado-container {
  margin-top: 20px;
}
/*# sourceMappingURL=style.min.css.map */
    </style>
<style type="text/css">
    .highlight .hll { background-color: #ffffcc }
.highlight  { background: #f8f8f8; }
.highlight .c { color: #408080; font-style: italic } /* Comment */
.highlight .err { border: 1px solid #FF0000 } /* Error */
.highlight .k { color: #008000; font-weight: bold } /* Keyword */
.highlight .o { color: #666666 } /* Operator */
.highlight .ch { color: #408080; font-style: italic } /* Comment.Hashbang */
.highlight .cm { color: #408080; font-style: italic } /* Comment.Multiline */
.highlight .cp { color: #BC7A00 } /* Comment.Preproc */
.highlight .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */
.highlight .c1 { color: #408080; font-style: italic } /* Comment.Single */
.highlight .cs { color: #408080; font-style: italic } /* Comment.Special */
.highlight .gd { color: #A00000 } /* Generic.Deleted */
.highlight .ge { font-style: italic } /* Generic.Emph */
.highlight .gr { color: #FF0000 } /* Generic.Error */
.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
.highlight .gi { color: #00A000 } /* Generic.Inserted */
.highlight .go { color: #888888 } /* Generic.Output */
.highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
.highlight .gs { font-weight: bold } /* Generic.Strong */
.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
.highlight .gt { color: #0044DD } /* Generic.Traceback */
.highlight .kc { color: #008000; font-weight: bold } /* Keyword.Constant */
.highlight .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */
.highlight .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */
.highlight .kp { color: #008000 } /* Keyword.Pseudo */
.highlight .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */
.highlight .kt { color: #B00040 } /* Keyword.Type */
.highlight .m { color: #666666 } /* Literal.Number */
.highlight .s { color: #BA2121 } /* Literal.String */
.highlight .na { color: #7D9029 } /* Name.Attribute */
.highlight .nb { color: #008000 } /* Name.Builtin */
.highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */
.highlight .no { color: #880000 } /* Name.Constant */
.highlight .nd { color: #AA22FF } /* Name.Decorator */
.highlight .ni { color: #999999; font-weight: bold } /* Name.Entity */
.highlight .ne { color: #D2413A; font-weight: bold } /* Name.Exception */
.highlight .nf { color: #0000FF } /* Name.Function */
.highlight .nl { color: #A0A000 } /* Name.Label */
.highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
.highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */
.highlight .nv { color: #19177C } /* Name.Variable */
.highlight .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */
.highlight .w { color: #bbbbbb } /* Text.Whitespace */
.highlight .mb { color: #666666 } /* Literal.Number.Bin */
.highlight .mf { color: #666666 } /* Literal.Number.Float */
.highlight .mh { color: #666666 } /* Literal.Number.Hex */
.highlight .mi { color: #666666 } /* Literal.Number.Integer */
.highlight .mo { color: #666666 } /* Literal.Number.Oct */
.highlight .sa { color: #BA2121 } /* Literal.String.Affix */
.highlight .sb { color: #BA2121 } /* Literal.String.Backtick */
.highlight .sc { color: #BA2121 } /* Literal.String.Char */
.highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */
.highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */
.highlight .s2 { color: #BA2121 } /* Literal.String.Double */
.highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */
.highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */
.highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */
.highlight .sx { color: #008000 } /* Literal.String.Other */
.highlight .sr { color: #BB6688 } /* Literal.String.Regex */
.highlight .s1 { color: #BA2121 } /* Literal.String.Single */
.highlight .ss { color: #19177C } /* Literal.String.Symbol */
.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
.highlight .fm { color: #0000FF } /* Name.Function.Magic */
.highlight .vc { color: #19177C } /* Name.Variable.Class */
.highlight .vg { color: #19177C } /* Name.Variable.Global */
.highlight .vi { color: #19177C } /* Name.Variable.Instance */
.highlight .vm { color: #19177C } /* Name.Variable.Magic */
.highlight .il { color: #666666 } /* Literal.Number.Integer.Long */
    </style>
<style type="text/css">
    #ipython_notebook img{                                                                                        
    display:block;
    background: url(coursera-logo.png) no-repeat;
    background-size: contain;
    width: 233px;
    height: 33px;
    padding-left: 233px;
    -moz-box-sizing: border-box;
    box-sizing: border-box;
}

#ipython_notebook {
    height: 40px !important;
}

/* Format for custom error modal message */
.running-notebooks {
    padding-top: 2em;
}

    </style>


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

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

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

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

<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
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<h1 id="Logistic-Regression-with-a-Neural-Network-mindset">Logistic Regression with a Neural Network mindset<a class="anchor-link" href="#Logistic-Regression-with-a-Neural-Network-mindset">&#182;</a></h1><p>Welcome to your first (required) programming assignment! You will build a logistic regression classifier to recognize  cats. This assignment will step you through how to do this with a Neural Network mindset, and will also hone your intuitions about deep learning.</p>
<p><strong>Instructions:</strong></p>
<ul>
<li>Do not use loops (for/while) in your code, unless the instructions explicitly ask you to do so.</li>
<li>Use <code>np.dot(X,Y)</code> to calculate dot products.</li>
</ul>
<p><strong>You will learn to:</strong></p>
<ul>
<li>Build the general architecture of a learning algorithm, including:<ul>
<li>Initializing parameters</li>
<li>Calculating the cost function and its gradient</li>
<li>Using an optimization algorithm (gradient descent) </li>
</ul>
</li>
<li>Gather all three functions above into a main model function, in the right order.</li>
</ul>
<h2 id="Important-Note-on-Submission-to-the-AutoGrader">Important Note on Submission to the AutoGrader<a class="anchor-link" href="#Important-Note-on-Submission-to-the-AutoGrader">&#182;</a></h2><p>Before submitting your assignment to the AutoGrader, please make sure you are not doing the following:</p>
<ol>
<li>You have not added any <em>extra</em> <code>print</code> statement(s) in the assignment.</li>
<li>You have not added any <em>extra</em> code cell(s) in the assignment.</li>
<li>You have not changed any of the function parameters.</li>
<li>You are not using any global variables inside your graded exercises. Unless specifically instructed to do so, please refrain from it and use the local variables instead.</li>
<li>You are not changing the assignment code where it is not required, like creating <em>extra</em> variables.</li>
</ol>
<p>If you do any of the following, you will get something like, <code>Grader not found</code> (or similarly unexpected) error upon submitting your assignment. Before asking for help/debugging the errors in your assignment, check for these first. If this is the case, and you don't remember the changes you have made, you can get a fresh copy of the assignment by following these <a href="https://www.coursera.org/learn/neural-networks-deep-learning/supplement/iLwon/h-ow-to-refresh-your-workspace">instructions</a>.</p>

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<h2 id="Table-of-Contents">Table of Contents<a class="anchor-link" href="#Table-of-Contents">&#182;</a></h2><ul>
<li><a href="#1">1 - Packages</a></li>
<li><a href="#2">2 - Overview of the Problem set</a><ul>
<li><a href="#ex-1">Exercise 1</a></li>
<li><a href="#ex-2">Exercise 2</a></li>
</ul>
</li>
<li><a href="#3">3 - General Architecture of the learning algorithm</a></li>
<li><a href="#4">4 - Building the parts of our algorithm</a><ul>
<li><a href="#4-1">4.1 - Helper functions</a><ul>
<li><a href="#ex-3">Exercise 3 - sigmoid</a></li>
</ul>
</li>
<li><a href="#4-2">4.2 - Initializing parameters</a><ul>
<li><a href="#ex-4">Exercise 4 - initialize_with_zeros</a></li>
</ul>
</li>
<li><a href="#4-3">4.3 - Forward and Backward propagation</a><ul>
<li><a href="#ex-5">Exercise 5 - propagate</a></li>
</ul>
</li>
<li><a href="#4-4">4.4 - Optimization</a><ul>
<li><a href="#ex-6">Exercise 6 - optimize</a></li>
<li><a href="#ex-7">Exercise 7 - predict</a></li>
</ul>
</li>
</ul>
</li>
<li><a href="#5">5 - Merge all functions into a model</a><ul>
<li><a href="#ex-8">Exercise 8 - model</a></li>
</ul>
</li>
<li><a href="#6">6 - Further analysis (optional/ungraded exercise)</a></li>
<li><a href="#7">7 - Test with your own image (optional/ungraded exercise)</a></li>
</ul>

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<p><a name='1'></a></p>
<h2 id="1---Packages">1 - Packages<a class="anchor-link" href="#1---Packages">&#182;</a></h2><p>First, let's run the cell below to import all the packages that you will need during this assignment.</p>
<ul>
<li><a href="https://numpy.org/doc/1.20/">numpy</a> is the fundamental package for scientific computing with Python.</li>
<li><a href="http://www.h5py.org">h5py</a> is a common package to interact with a dataset that is stored on an H5 file.</li>
<li><a href="http://matplotlib.org">matplotlib</a> is a famous library to plot graphs in Python.</li>
<li><a href="https://pillow.readthedocs.io/en/stable/">PIL</a> and <a href="https://www.scipy.org/">scipy</a> are used here to test your model with your own picture at the end.</li>
</ul>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">copy</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">h5py</span>
<span class="kn">import</span> <span class="nn">scipy</span>
<span class="kn">from</span> <span class="nn">PIL</span> <span class="kn">import</span> <span class="n">Image</span>
<span class="kn">from</span> <span class="nn">scipy</span> <span class="kn">import</span> <span class="n">ndimage</span>
<span class="kn">from</span> <span class="nn">lr_utils</span> <span class="kn">import</span> <span class="n">load_dataset</span>
<span class="kn">from</span> <span class="nn">public_tests</span> <span class="kn">import</span> <span class="o">*</span>

<span class="o">%</span><span class="k">matplotlib</span> inline
<span class="o">%</span><span class="k">load_ext</span> autoreload
<span class="o">%</span><span class="k">autoreload</span> 2
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<p><a name='2'></a></p>
<h2 id="2---Overview-of-the-Problem-set">2 - Overview of the Problem set<a class="anchor-link" href="#2---Overview-of-the-Problem-set">&#182;</a></h2><p><strong>Problem Statement</strong>: You are given a dataset ("data.h5") containing:</p>

<pre><code>- a training set of m_train images labeled as cat (y=1) or non-cat (y=0)
- a test set of m_test images labeled as cat or non-cat
- each image is of shape (num_px, num_px, 3) where 3 is for the 3 channels (RGB). Thus, each image is square (height = num_px) and (width = num_px).

</code></pre>
<p>You will build a simple image-recognition algorithm that can correctly classify pictures as cat or non-cat.</p>
<p>Let's get more familiar with the dataset. Load the data by running the following code.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Loading the data (cat/non-cat)</span>
<span class="n">train_set_x_orig</span><span class="p">,</span> <span class="n">train_set_y</span><span class="p">,</span> <span class="n">test_set_x_orig</span><span class="p">,</span> <span class="n">test_set_y</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">load_dataset</span><span class="p">()</span>
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<p>We added "_orig" at the end of image datasets (train and test) because we are going to preprocess them. After preprocessing, we will end up with train_set_x and test_set_x (the labels train_set_y and test_set_y don't need any preprocessing).</p>
<p>Each line of your train_set_x_orig and test_set_x_orig is an array representing an image. You can visualize an example by running the following code. Feel free also to change the <code>index</code> value and re-run to see other images.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Example of a picture</span>
<span class="n">index</span> <span class="o">=</span> <span class="mi">25</span>
<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">train_set_x_orig</span><span class="p">[</span><span class="n">index</span><span class="p">])</span>
<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;y = &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">train_set_y</span><span class="p">[:,</span> <span class="n">index</span><span class="p">])</span> <span class="o">+</span> <span class="s2">&quot;, it&#39;s a &#39;&quot;</span> <span class="o">+</span> <span class="n">classes</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">squeeze</span><span class="p">(</span><span class="n">train_set_y</span><span class="p">[:,</span> <span class="n">index</span><span class="p">])]</span><span class="o">.</span><span class="n">decode</span><span class="p">(</span><span class="s2">&quot;utf-8&quot;</span><span class="p">)</span> <span class="o">+</span>  <span class="s2">&quot;&#39; picture.&quot;</span><span class="p">)</span>
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<pre>y = [1], it&#39;s a &#39;cat&#39; picture.
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<p>Many software bugs in deep learning come from having matrix/vector dimensions that don't fit. If you can keep your matrix/vector dimensions straight you will go a long way toward eliminating many bugs.</p>
<p><a name='ex-1'></a></p>
<h3 id="Exercise-1">Exercise 1<a class="anchor-link" href="#Exercise-1">&#182;</a></h3><p>Find the values for:</p>

<pre><code>- m_train (number of training examples)
- m_test (number of test examples)
- num_px (= height = width of a training image)
</code></pre>
<p>Remember that <code>train_set_x_orig</code> is a numpy-array of shape (m_train, num_px, num_px, 3). For instance, you can access <code>m_train</code> by writing <code>train_set_x_orig.shape[0]</code>.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#(≈ 3 lines of code)</span>
<span class="c1"># m_train = </span>
<span class="c1"># m_test = </span>
<span class="c1"># num_px = </span>
<span class="c1"># YOUR CODE STARTS HERE</span>

<span class="n">m_train</span> <span class="o">=</span> <span class="n">train_set_x_orig</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">m_test</span> <span class="o">=</span> <span class="n">test_set_x_orig</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">num_px</span> <span class="o">=</span> <span class="n">train_set_x_orig</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>

<span class="c1"># YOUR CODE ENDS HERE</span>

<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;Number of training examples: m_train = &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">m_train</span><span class="p">))</span>
<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;Number of testing examples: m_test = &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">m_test</span><span class="p">))</span>
<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;Height/Width of each image: num_px = &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">num_px</span><span class="p">))</span>
<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;Each image is of size: (&quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">num_px</span><span class="p">)</span> <span class="o">+</span> <span class="s2">&quot;, &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">num_px</span><span class="p">)</span> <span class="o">+</span> <span class="s2">&quot;, 3)&quot;</span><span class="p">)</span>
<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;train_set_x shape: &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">train_set_x_orig</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;train_set_y shape: &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">train_set_y</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;test_set_x shape: &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">test_set_x_orig</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;test_set_y shape: &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">test_set_y</span><span class="o">.</span><span class="n">shape</span><span class="p">))</span>
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<pre>Number of training examples: m_train = 209
Number of testing examples: m_test = 50
Height/Width of each image: num_px = 64
Each image is of size: (64, 64, 3)
train_set_x shape: (209, 64, 64, 3)
train_set_y shape: (1, 209)
test_set_x shape: (50, 64, 64, 3)
test_set_y shape: (1, 50)
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<p><strong>Expected Output for m_train, m_test and num_px</strong>:</p>
<table style="width:15%">
  <tr>
    <td> m_train </td>
    <td> 209 </td> 
  </tr>

  <tr>
    <td>m_test</td>
    <td> 50 </td> 
  </tr>

  <tr>
    <td>num_px</td>
    <td> 64 </td> 
  </tr>

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<p>For convenience, you should now reshape images of shape (num_px, num_px, 3) in a numpy-array of shape (num_px $*$ num_px $*$ 3, 1). After this, our training (and test) dataset is a numpy-array where each column represents a flattened image. There should be m_train (respectively m_test) columns.</p>
<p><a name='ex-2'></a></p>
<h3 id="Exercise-2">Exercise 2<a class="anchor-link" href="#Exercise-2">&#182;</a></h3><p>Reshape the training and test data sets so that images of size (num_px, num_px, 3) are flattened into single vectors of shape (num_px $*$ num_px $*$ 3, 1).</p>
<p>A trick when you want to flatten a matrix X of shape (a,b,c,d) to a matrix X_flatten of shape (b$*$c$*$d, a) is to use:</p>
<div class="highlight"><pre><span></span><span class="n">X_flatten</span> <span class="o">=</span> <span class="n">X</span><span class="o">.</span><span class="n">reshape</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="o">-</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">T</span>      <span class="c1"># X.T is the transpose of X</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Reshape the training and test examples</span>
<span class="c1">#(≈ 2 lines of code)</span>
<span class="c1"># train_set_x_flatten = ...</span>
<span class="c1"># test_set_x_flatten = ...</span>
<span class="c1"># YOUR CODE STARTS HERE</span>

<span class="n">train_set_x_flatten</span> <span class="o">=</span> <span class="n">train_set_x_orig</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">train_set_x_orig</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="o">-</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">T</span>
<span class="n">test_set_x_flatten</span> <span class="o">=</span> <span class="n">test_set_x_orig</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">test_set_x_orig</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="o">-</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">T</span>

<span class="c1"># YOUR CODE ENDS HERE</span>

<span class="c1"># Check that the first 10 pixels of the second image are in the correct place</span>
<span class="k">assert</span> <span class="n">np</span><span class="o">.</span><span class="n">alltrue</span><span class="p">(</span><span class="n">train_set_x_flatten</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">10</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="p">[</span><span class="mi">196</span><span class="p">,</span> <span class="mi">192</span><span class="p">,</span> <span class="mi">190</span><span class="p">,</span> <span class="mi">193</span><span class="p">,</span> <span class="mi">186</span><span class="p">,</span> <span class="mi">182</span><span class="p">,</span> <span class="mi">188</span><span class="p">,</span> <span class="mi">179</span><span class="p">,</span> <span class="mi">174</span><span class="p">,</span> <span class="mi">213</span><span class="p">]),</span> <span class="s2">&quot;Wrong solution. Use (X.shape[0], -1).T.&quot;</span>
<span class="k">assert</span> <span class="n">np</span><span class="o">.</span><span class="n">alltrue</span><span class="p">(</span><span class="n">test_set_x_flatten</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">10</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="p">[</span><span class="mi">115</span><span class="p">,</span> <span class="mi">110</span><span class="p">,</span> <span class="mi">111</span><span class="p">,</span> <span class="mi">137</span><span class="p">,</span> <span class="mi">129</span><span class="p">,</span> <span class="mi">129</span><span class="p">,</span> <span class="mi">155</span><span class="p">,</span> <span class="mi">146</span><span class="p">,</span> <span class="mi">145</span><span class="p">,</span> <span class="mi">159</span><span class="p">]),</span> <span class="s2">&quot;Wrong solution. Use (X.shape[0], -1).T.&quot;</span>

<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;train_set_x_flatten shape: &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">train_set_x_flatten</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;train_set_y shape: &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">train_set_y</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;test_set_x_flatten shape: &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">test_set_x_flatten</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;test_set_y shape: &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">test_set_y</span><span class="o">.</span><span class="n">shape</span><span class="p">))</span>
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<pre>train_set_x_flatten shape: (12288, 209)
train_set_y shape: (1, 209)
test_set_x_flatten shape: (12288, 50)
test_set_y shape: (1, 50)
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<p><strong>Expected Output</strong>:</p>
<table style="width:35%">
  <tr>
    <td>train_set_x_flatten shape</td>
    <td> (12288, 209)</td> 
  </tr>
  <tr>
    <td>train_set_y shape</td>
    <td>(1, 209)</td> 
  </tr>
  <tr>
    <td>test_set_x_flatten shape</td>
    <td>(12288, 50)</td> 
  </tr>
  <tr>
    <td>test_set_y shape</td>
    <td>(1, 50)</td> 
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<p>To represent color images, the red, green and blue channels (RGB) must be specified for each pixel, and so the pixel value is actually a vector of three numbers ranging from 0 to 255.</p>
<p>One common preprocessing step in machine learning is to center and standardize your dataset, meaning that you substract the mean of the whole numpy array from each example, and then divide each example by the standard deviation of the whole numpy array. But for picture datasets, it is simpler and more convenient and works almost as well to just divide every row of the dataset by 255 (the maximum value of a pixel channel).</p>
<!-- During the training of your model, you're going to multiply weights and add biases to some initial inputs in order to observe neuron activations. Then you backpropogate with the gradients to train the model. But, it is extremely important for each feature to have a similar range such that our gradients don't explode. You will see that more in detail later in the lectures. !--> 

<p>Let's standardize our dataset.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">train_set_x</span> <span class="o">=</span> <span class="n">train_set_x_flatten</span> <span class="o">/</span> <span class="mf">255.</span>
<span class="n">test_set_x</span> <span class="o">=</span> <span class="n">test_set_x_flatten</span> <span class="o">/</span> <span class="mf">255.</span>
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<p><strong>What you need to remember:</strong></p>
<p>Common steps for pre-processing a new dataset are:</p>
<ul>
<li>Figure out the dimensions and shapes of the problem (m_train, m_test, num_px, ...)</li>
<li>Reshape the datasets such that each example is now a vector of size (num_px * num_px * 3, 1)</li>
<li>"Standardize" the data</li>
</ul>

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<p><a name='3'></a></p>
<h2 id="3---General-Architecture-of-the-learning-algorithm">3 - General Architecture of the learning algorithm<a class="anchor-link" href="#3---General-Architecture-of-the-learning-algorithm">&#182;</a></h2><p>It's time to design a simple algorithm to distinguish cat images from non-cat images.</p>
<p>You will build a Logistic Regression, using a Neural Network mindset. The following Figure explains why <strong>Logistic Regression is actually a very simple Neural Network!</strong></p>
<p><img src="images/LogReg_kiank.png" style="width:650px;height:400px;"></p>
<p><strong>Mathematical expression of the algorithm</strong>:</p>
<p>For one example $x^{(i)}$:
$$z^{(i)} = w^T x^{(i)} + b \tag{1}$$
$$\hat{y}^{(i)} = a^{(i)} = sigmoid(z^{(i)})\tag{2}$$ 
$$ \mathcal{L}(a^{(i)}, y^{(i)}) =  - y^{(i)}  \log(a^{(i)}) - (1-y^{(i)} )  \log(1-a^{(i)})\tag{3}$$</p>
<p>The cost is then computed by summing over all training examples:
$$ J = \frac{1}{m} \sum_{i=1}^m \mathcal{L}(a^{(i)}, y^{(i)})\tag{6}$$</p>
<p><strong>Key steps</strong>:
In this exercise, you will carry out the following steps:</p>

<pre><code>- Initialize the parameters of the model
- Learn the parameters for the model by minimizing the cost  
- Use the learned parameters to make predictions (on the test set)
- Analyse the results and conclude</code></pre>

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<p><a name='4'></a></p>
<h2 id="4---Building-the-parts-of-our-algorithm">4 - Building the parts of our algorithm<a class="anchor-link" href="#4---Building-the-parts-of-our-algorithm">&#182;</a></h2><p>The main steps for building a Neural Network are:</p>
<ol>
<li>Define the model structure (such as number of input features) </li>
<li>Initialize the model's parameters</li>
<li>Loop:<ul>
<li>Calculate current loss (forward propagation)</li>
<li>Calculate current gradient (backward propagation)</li>
<li>Update parameters (gradient descent)</li>
</ul>
</li>
</ol>
<p>You often build 1-3 separately and integrate them into one function we call <code>model()</code>.</p>
<p><a name='4-1'></a></p>
<h3 id="4.1---Helper-functions">4.1 - Helper functions<a class="anchor-link" href="#4.1---Helper-functions">&#182;</a></h3><p><a name='ex-3'></a></p>
<h3 id="Exercise-3---sigmoid">Exercise 3 - sigmoid<a class="anchor-link" href="#Exercise-3---sigmoid">&#182;</a></h3><p>Using your code from "Python Basics", implement <code>sigmoid()</code>. As you've seen in the figure above, you need to compute $sigmoid(z) = \frac{1}{1 + e^{-z}}$ for $z = w^T x + b$ to make predictions. Use np.exp().</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># GRADED FUNCTION: sigmoid</span>

<span class="k">def</span> <span class="nf">sigmoid</span><span class="p">(</span><span class="n">z</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;</span>
<span class="sd">    Compute the sigmoid of z</span>

<span class="sd">    Arguments:</span>
<span class="sd">    z -- A scalar or numpy array of any size.</span>

<span class="sd">    Return:</span>
<span class="sd">    s -- sigmoid(z)</span>
<span class="sd">    &quot;&quot;&quot;</span>

    <span class="c1">#(≈ 1 line of code)</span>
    <span class="c1"># s = ...</span>
    <span class="c1"># YOUR CODE STARTS HERE</span>
    
    <span class="n">s</span> <span class="o">=</span> <span class="mi">1</span><span class="o">/</span><span class="p">(</span><span class="mi">1</span><span class="o">+</span><span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">-</span><span class="n">z</span><span class="p">))</span>
    
    <span class="c1"># YOUR CODE ENDS HERE</span>
    
    <span class="k">return</span> <span class="n">s</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;sigmoid([0, 2]) = &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">sigmoid</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span><span class="mi">2</span><span class="p">]))))</span>

<span class="n">sigmoid_test</span><span class="p">(</span><span class="n">sigmoid</span><span class="p">)</span>
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<pre>sigmoid([0, 2]) = [0.5        0.88079708]
<span class="ansi-green-intense-fg">All tests passed!
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.5</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mf">2.0</span><span class="p">])</span>
<span class="n">output</span> <span class="o">=</span> <span class="n">sigmoid</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">output</span><span class="p">)</span>
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<pre>[0.62245933 0.5        0.88079708]
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<p><a name='4-2'></a></p>
<h3 id="4.2---Initializing-parameters">4.2 - Initializing parameters<a class="anchor-link" href="#4.2---Initializing-parameters">&#182;</a></h3><p><a name='ex-4'></a></p>
<h3 id="Exercise-4---initialize_with_zeros">Exercise 4 - initialize_with_zeros<a class="anchor-link" href="#Exercise-4---initialize_with_zeros">&#182;</a></h3><p>Implement parameter initialization in the cell below. You have to initialize w as a vector of zeros. If you don't know what numpy function to use, look up np.zeros() in the Numpy library's documentation.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># GRADED FUNCTION: initialize_with_zeros</span>

<span class="k">def</span> <span class="nf">initialize_with_zeros</span><span class="p">(</span><span class="n">dim</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;</span>
<span class="sd">    This function creates a vector of zeros of shape (dim, 1) for w and initializes b to 0.</span>
<span class="sd">    </span>
<span class="sd">    Argument:</span>
<span class="sd">    dim -- size of the w vector we want (or number of parameters in this case)</span>
<span class="sd">    </span>
<span class="sd">    Returns:</span>
<span class="sd">    w -- initialized vector of shape (dim, 1)</span>
<span class="sd">    b -- initialized scalar (corresponds to the bias) of type float</span>
<span class="sd">    &quot;&quot;&quot;</span>
    
    <span class="c1"># (≈ 2 lines of code)</span>
    <span class="c1"># w = ...</span>
    <span class="c1"># b = ...</span>
    <span class="c1"># YOUR CODE STARTS HERE</span>
    
    <span class="n">w</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="n">dim</span><span class="p">,</span><span class="mi">1</span><span class="p">))</span>
    <span class="n">b</span> <span class="o">=</span> <span class="mf">0.0</span>
    
    <span class="c1"># YOUR CODE ENDS HERE</span>

    <span class="k">return</span> <span class="n">w</span><span class="p">,</span> <span class="n">b</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dim</span> <span class="o">=</span> <span class="mi">2</span>
<span class="n">w</span><span class="p">,</span> <span class="n">b</span> <span class="o">=</span> <span class="n">initialize_with_zeros</span><span class="p">(</span><span class="n">dim</span><span class="p">)</span>

<span class="k">assert</span> <span class="nb">type</span><span class="p">(</span><span class="n">b</span><span class="p">)</span> <span class="o">==</span> <span class="nb">float</span>
<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;w = &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">w</span><span class="p">))</span>
<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;b = &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">b</span><span class="p">))</span>

<span class="n">initialize_with_zeros_test_1</span><span class="p">(</span><span class="n">initialize_with_zeros</span><span class="p">)</span>
<span class="n">initialize_with_zeros_test_2</span><span class="p">(</span><span class="n">initialize_with_zeros</span><span class="p">)</span>
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<pre>w = [[0.]
 [0.]]
b = 0.0
<span class="ansi-green-intense-fg">First test passed!
</span><span class="ansi-green-intense-fg">Second test passed!
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<p><a name='4-3'></a></p>
<h3 id="4.3---Forward-and-Backward-propagation">4.3 - Forward and Backward propagation<a class="anchor-link" href="#4.3---Forward-and-Backward-propagation">&#182;</a></h3><p>Now that your parameters are initialized, you can do the "forward" and "backward" propagation steps for learning the parameters.</p>
<p><a name='ex-5'></a></p>
<h3 id="Exercise-5---propagate">Exercise 5 - propagate<a class="anchor-link" href="#Exercise-5---propagate">&#182;</a></h3><p>Implement a function <code>propagate()</code> that computes the cost function and its gradient.</p>
<p><strong>Hints</strong>:</p>
<p>Forward Propagation:</p>
<ul>
<li>You get X</li>
<li>You compute $A = \sigma(w^T X + b) = (a^{(1)}, a^{(2)}, ..., a^{(m-1)}, a^{(m)})$</li>
<li>You calculate the cost function: $J = -\frac{1}{m}\sum_{i=1}^{m}(y^{(i)}\log(a^{(i)})+(1-y^{(i)})\log(1-a^{(i)}))$</li>
</ul>
<p>Here are the two formulas you will be using:</p>
$$ \frac{\partial J}{\partial w} = \frac{1}{m}X(A-Y)^T\tag{7}$$$$ \frac{\partial J}{\partial b} = \frac{1}{m} \sum_{i=1}^m (a^{(i)}-y^{(i)})\tag{8}$$
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># GRADED FUNCTION: propagate</span>
<span class="k">def</span> <span class="nf">propagate</span><span class="p">(</span><span class="n">w</span><span class="p">,</span> <span class="n">b</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;</span>
<span class="sd">    Implement the cost function and its gradient for the propagation explained above</span>

<span class="sd">    Arguments:</span>
<span class="sd">    w -- weights, a numpy array of size (num_px * num_px * 3, 1)</span>
<span class="sd">    b -- bias, a scalar</span>
<span class="sd">    X -- data of size (num_px * num_px * 3, number of examples)</span>
<span class="sd">    Y -- true &quot;label&quot; vector (containing 0 if non-cat, 1 if cat) of size (1, number of examples)</span>

<span class="sd">    Return:</span>
<span class="sd">    cost -- negative log-likelihood cost for logistic regression</span>
<span class="sd">    dw -- gradient of the loss with respect to w, thus same shape as w</span>
<span class="sd">    db -- gradient of the loss with respect to b, thus same shape as b</span>
<span class="sd">    </span>
<span class="sd">    Tips:</span>
<span class="sd">    - Write your code step by step for the propagation. np.log(), np.dot()</span>
<span class="sd">    &quot;&quot;&quot;</span>
    
    <span class="n">m</span> <span class="o">=</span> <span class="n">X</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
    
    <span class="c1"># FORWARD PROPAGATION (FROM X TO COST)</span>
    <span class="c1">#(≈ 2 lines of code)</span>
    <span class="c1"># compute activation</span>
    <span class="c1"># A = ...</span>
    <span class="c1"># compute cost by using np.dot to perform multiplication. </span>
    <span class="c1"># And don&#39;t use loops for the sum.</span>
    <span class="c1"># cost = ...                                </span>
    <span class="c1"># YOUR CODE STARTS HERE</span>
    
    <span class="n">A</span> <span class="o">=</span> <span class="n">sigmoid</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="n">w</span><span class="o">.</span><span class="n">T</span><span class="p">,</span><span class="n">X</span><span class="p">)</span> <span class="o">+</span> <span class="n">b</span><span class="p">)</span>
    <span class="n">cost</span> <span class="o">=</span> <span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="o">/</span><span class="n">m</span><span class="p">)</span><span class="o">*</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="n">Y</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">A</span><span class="p">)</span><span class="o">.</span><span class="n">T</span><span class="p">)</span><span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">((</span><span class="mi">1</span><span class="o">-</span><span class="n">Y</span><span class="p">),</span><span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">A</span><span class="p">)</span><span class="o">.</span><span class="n">T</span><span class="p">)))</span>
    
    <span class="c1"># YOUR CODE ENDS HERE</span>

    <span class="c1"># BACKWARD PROPAGATION (TO FIND GRAD)</span>
    <span class="c1">#(≈ 2 lines of code)</span>
    <span class="c1"># dw = ...</span>
    <span class="c1"># db = ...</span>
    <span class="c1"># YOUR CODE STARTS HERE</span>
    
    <span class="n">dw</span> <span class="o">=</span> <span class="p">(</span><span class="mi">1</span><span class="o">/</span><span class="n">m</span><span class="p">)</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="p">(</span><span class="n">A</span><span class="o">-</span><span class="n">Y</span><span class="p">)</span><span class="o">.</span><span class="n">T</span><span class="p">)</span>
    <span class="n">db</span> <span class="o">=</span> <span class="p">(</span><span class="mi">1</span><span class="o">/</span><span class="n">m</span><span class="p">)</span><span class="o">*</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">A</span><span class="o">-</span><span class="n">Y</span><span class="p">))</span>
    
    <span class="c1"># YOUR CODE ENDS HERE</span>
    <span class="n">cost</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">squeeze</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">cost</span><span class="p">))</span>

    
    <span class="n">grads</span> <span class="o">=</span> <span class="p">{</span><span class="s2">&quot;dw&quot;</span><span class="p">:</span> <span class="n">dw</span><span class="p">,</span>
             <span class="s2">&quot;db&quot;</span><span class="p">:</span> <span class="n">db</span><span class="p">}</span>
    
    <span class="k">return</span> <span class="n">grads</span><span class="p">,</span> <span class="n">cost</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">w</span> <span class="o">=</span>  <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([[</span><span class="mf">1.</span><span class="p">],</span> <span class="p">[</span><span class="mi">2</span><span class="p">]])</span>
<span class="n">b</span> <span class="o">=</span> <span class="mf">1.5</span>
<span class="n">X</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([[</span><span class="mf">1.</span><span class="p">,</span> <span class="o">-</span><span class="mf">2.</span><span class="p">,</span> <span class="o">-</span><span class="mf">1.</span><span class="p">],</span> <span class="p">[</span><span class="mf">3.</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="o">-</span><span class="mf">3.2</span><span class="p">]])</span>
<span class="n">Y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">]])</span>
<span class="n">grads</span><span class="p">,</span> <span class="n">cost</span> <span class="o">=</span> <span class="n">propagate</span><span class="p">(</span><span class="n">w</span><span class="p">,</span> <span class="n">b</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="k">assert</span> <span class="nb">type</span><span class="p">(</span><span class="n">grads</span><span class="p">[</span><span class="s2">&quot;dw&quot;</span><span class="p">])</span> <span class="o">==</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span>
<span class="k">assert</span> <span class="n">grads</span><span class="p">[</span><span class="s2">&quot;dw&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span> <span class="o">==</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
<span class="k">assert</span> <span class="nb">type</span><span class="p">(</span><span class="n">grads</span><span class="p">[</span><span class="s2">&quot;db&quot;</span><span class="p">])</span> <span class="o">==</span> <span class="n">np</span><span class="o">.</span><span class="n">float64</span>


<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;dw = &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">grads</span><span class="p">[</span><span class="s2">&quot;dw&quot;</span><span class="p">]))</span>
<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;db = &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">grads</span><span class="p">[</span><span class="s2">&quot;db&quot;</span><span class="p">]))</span>
<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;cost = &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">cost</span><span class="p">))</span>

<span class="n">propagate_test</span><span class="p">(</span><span class="n">propagate</span><span class="p">)</span>
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<pre>dw = [[ 0.25071532]
 [-0.06604096]]
db = -0.1250040450043965
cost = 0.15900537707692405
<span class="ansi-green-intense-fg">All tests passed!
</span></pre>
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<p><strong>Expected output</strong></p>

<pre><code>dw = [[ 0.25071532]
 [-0.06604096]]
db = -0.1250040450043965
cost = 0.15900537707692405</code></pre>

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<p><a name='4-4'></a></p>
<h3 id="4.4---Optimization">4.4 - Optimization<a class="anchor-link" href="#4.4---Optimization">&#182;</a></h3><ul>
<li>You have initialized your parameters.</li>
<li>You are also able to compute a cost function and its gradient.</li>
<li>Now, you want to update the parameters using gradient descent.</li>
</ul>
<p><a name='ex-6'></a></p>
<h3 id="Exercise-6---optimize">Exercise 6 - optimize<a class="anchor-link" href="#Exercise-6---optimize">&#182;</a></h3><p>Write down the optimization function. The goal is to learn $w$ and $b$ by minimizing the cost function $J$. For a parameter $\theta$, the update rule is $ \theta = \theta - \alpha \text{ } d\theta$, where $\alpha$ is the learning rate.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># GRADED FUNCTION: optimize</span>

<span class="k">def</span> <span class="nf">optimize</span><span class="p">(</span><span class="n">w</span><span class="p">,</span> <span class="n">b</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">num_iterations</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span> <span class="n">learning_rate</span><span class="o">=</span><span class="mf">0.009</span><span class="p">,</span> <span class="n">print_cost</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;</span>
<span class="sd">    This function optimizes w and b by running a gradient descent algorithm</span>
<span class="sd">    </span>
<span class="sd">    Arguments:</span>
<span class="sd">    w -- weights, a numpy array of size (num_px * num_px * 3, 1)</span>
<span class="sd">    b -- bias, a scalar</span>
<span class="sd">    X -- data of shape (num_px * num_px * 3, number of examples)</span>
<span class="sd">    Y -- true &quot;label&quot; vector (containing 0 if non-cat, 1 if cat), of shape (1, number of examples)</span>
<span class="sd">    num_iterations -- number of iterations of the optimization loop</span>
<span class="sd">    learning_rate -- learning rate of the gradient descent update rule</span>
<span class="sd">    print_cost -- True to print the loss every 100 steps</span>
<span class="sd">    </span>
<span class="sd">    Returns:</span>
<span class="sd">    params -- dictionary containing the weights w and bias b</span>
<span class="sd">    grads -- dictionary containing the gradients of the weights and bias with respect to the cost function</span>
<span class="sd">    costs -- list of all the costs computed during the optimization, this will be used to plot the learning curve.</span>
<span class="sd">    </span>
<span class="sd">    Tips:</span>
<span class="sd">    You basically need to write down two steps and iterate through them:</span>
<span class="sd">        1) Calculate the cost and the gradient for the current parameters. Use propagate().</span>
<span class="sd">        2) Update the parameters using gradient descent rule for w and b.</span>
<span class="sd">    &quot;&quot;&quot;</span>
    
    <span class="n">w</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">w</span><span class="p">)</span>
    <span class="n">b</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">b</span><span class="p">)</span>
    
    <span class="n">costs</span> <span class="o">=</span> <span class="p">[]</span>
    
    <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">num_iterations</span><span class="p">):</span>
        <span class="c1"># (≈ 1 lines of code)</span>
        <span class="c1"># Cost and gradient calculation </span>
        <span class="c1"># grads, cost = ...</span>
        <span class="c1"># YOUR CODE STARTS HERE</span>
        
        <span class="n">grads</span><span class="p">,</span> <span class="n">cost</span> <span class="o">=</span> <span class="n">propagate</span><span class="p">(</span><span class="n">w</span><span class="p">,</span> <span class="n">b</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"># YOUR CODE ENDS HERE</span>
        
        <span class="c1"># Retrieve derivatives from grads</span>
        <span class="n">dw</span> <span class="o">=</span> <span class="n">grads</span><span class="p">[</span><span class="s2">&quot;dw&quot;</span><span class="p">]</span>
        <span class="n">db</span> <span class="o">=</span> <span class="n">grads</span><span class="p">[</span><span class="s2">&quot;db&quot;</span><span class="p">]</span>
        
        <span class="c1"># update rule (≈ 2 lines of code)</span>
        <span class="c1"># w = ...</span>
        <span class="c1"># b = ...</span>
        <span class="c1"># YOUR CODE STARTS HERE</span>
        
        <span class="n">w</span> <span class="o">-=</span> <span class="n">learning_rate</span><span class="o">*</span><span class="n">dw</span>
        <span class="n">b</span> <span class="o">-=</span> <span class="n">learning_rate</span><span class="o">*</span><span class="n">db</span>
        
        <span class="c1"># YOUR CODE ENDS HERE</span>
        
        <span class="c1"># Record the costs</span>
        <span class="k">if</span> <span class="n">i</span> <span class="o">%</span> <span class="mi">100</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
            <span class="n">costs</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">cost</span><span class="p">)</span>
        
            <span class="c1"># Print the cost every 100 training iterations</span>
            <span class="k">if</span> <span class="n">print_cost</span><span class="p">:</span>
                <span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;Cost after iteration </span><span class="si">%i</span><span class="s2">: </span><span class="si">%f</span><span class="s2">&quot;</span> <span class="o">%</span><span class="p">(</span><span class="n">i</span><span class="p">,</span> <span class="n">cost</span><span class="p">))</span>
    
    <span class="n">params</span> <span class="o">=</span> <span class="p">{</span><span class="s2">&quot;w&quot;</span><span class="p">:</span> <span class="n">w</span><span class="p">,</span>
              <span class="s2">&quot;b&quot;</span><span class="p">:</span> <span class="n">b</span><span class="p">}</span>
    
    <span class="n">grads</span> <span class="o">=</span> <span class="p">{</span><span class="s2">&quot;dw&quot;</span><span class="p">:</span> <span class="n">dw</span><span class="p">,</span>
             <span class="s2">&quot;db&quot;</span><span class="p">:</span> <span class="n">db</span><span class="p">}</span>
    
    <span class="k">return</span> <span class="n">params</span><span class="p">,</span> <span class="n">grads</span><span class="p">,</span> <span class="n">costs</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">params</span><span class="p">,</span> <span class="n">grads</span><span class="p">,</span> <span class="n">costs</span> <span class="o">=</span> <span class="n">optimize</span><span class="p">(</span><span class="n">w</span><span class="p">,</span> <span class="n">b</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">num_iterations</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span> <span class="n">learning_rate</span><span class="o">=</span><span class="mf">0.009</span><span class="p">,</span> <span class="n">print_cost</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>

<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;w = &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">params</span><span class="p">[</span><span class="s2">&quot;w&quot;</span><span class="p">]))</span>
<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;b = &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">params</span><span class="p">[</span><span class="s2">&quot;b&quot;</span><span class="p">]))</span>
<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;dw = &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">grads</span><span class="p">[</span><span class="s2">&quot;dw&quot;</span><span class="p">]))</span>
<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;db = &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">grads</span><span class="p">[</span><span class="s2">&quot;db&quot;</span><span class="p">]))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Costs = &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">costs</span><span class="p">))</span>

<span class="n">optimize_test</span><span class="p">(</span><span class="n">optimize</span><span class="p">)</span>
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<pre>w = [[0.80956046]
 [2.0508202 ]]
b = 1.5948713189708588
dw = [[ 0.17860505]
 [-0.04840656]]
db = -0.08888460336847771
Costs = [array(0.15900538)]
<span class="ansi-green-intense-fg">All tests passed!
</span></pre>
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<p><a name='ex-7'></a></p>
<h3 id="Exercise-7---predict">Exercise 7 - predict<a class="anchor-link" href="#Exercise-7---predict">&#182;</a></h3><p>The previous function will output the learned w and b. We are able to use w and b to predict the labels for a dataset X. Implement the <code>predict()</code> function. There are two steps to computing predictions:</p>
<ol>
<li><p>Calculate $\hat{Y} = A = \sigma(w^T X + b)$</p>
</li>
<li><p>Convert the entries of a into 0 (if activation &lt;= 0.5) or 1 (if activation &gt; 0.5), stores the predictions in a vector <code>Y_prediction</code>. If you wish, you can use an <code>if</code>/<code>else</code> statement in a <code>for</code> loop (though there is also a way to vectorize this).</p>
</li>
</ol>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># GRADED FUNCTION: predict</span>

<span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="n">w</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">X</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39;</span>
<span class="sd">    Predict whether the label is 0 or 1 using learned logistic regression parameters (w, b)</span>
<span class="sd">    </span>
<span class="sd">    Arguments:</span>
<span class="sd">    w -- weights, a numpy array of size (num_px * num_px * 3, 1)</span>
<span class="sd">    b -- bias, a scalar</span>
<span class="sd">    X -- data of size (num_px * num_px * 3, number of examples)</span>
<span class="sd">    </span>
<span class="sd">    Returns:</span>
<span class="sd">    Y_prediction -- a numpy array (vector) containing all predictions (0/1) for the examples in X</span>
<span class="sd">    &#39;&#39;&#39;</span>
    
    <span class="n">m</span> <span class="o">=</span> <span class="n">X</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
    <span class="n">Y_prediction</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span> <span class="n">m</span><span class="p">))</span>
    <span class="n">w</span> <span class="o">=</span> <span class="n">w</span><span class="o">.</span><span class="n">reshape</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="mi">1</span><span class="p">)</span>
    
    <span class="c1"># Compute vector &quot;A&quot; predicting the probabilities of a cat being present in the picture</span>
    <span class="c1">#(≈ 1 line of code)</span>
    <span class="c1"># A = ...</span>
    <span class="c1"># YOUR CODE STARTS HERE</span>
    
    <span class="n">A</span> <span class="o">=</span> <span class="n">sigmoid</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="n">w</span><span class="o">.</span><span class="n">T</span><span class="p">,</span><span class="n">X</span><span class="p">)</span> <span class="o">+</span> <span class="n">b</span><span class="p">)</span>
    
    <span class="c1"># YOUR CODE ENDS HERE</span>
    
    <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">A</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]):</span>
        
        <span class="c1"># Convert probabilities A[0,i] to actual predictions p[0,i]</span>
        <span class="c1">#(≈ 4 lines of code)</span>
        <span class="c1"># if A[0, i] &gt; ____ :</span>
        <span class="c1">#     Y_prediction[0,i] = </span>
        <span class="c1"># else:</span>
        <span class="c1">#     Y_prediction[0,i] = </span>
        <span class="c1"># YOUR CODE STARTS HERE</span>
        
        <span class="k">if</span> <span class="n">A</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="n">i</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mf">0.5</span><span class="p">:</span>
            <span class="n">Y_prediction</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span>
        <span class="k">elif</span> <span class="n">A</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="n">i</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="mf">0.5</span><span class="p">:</span>
            <span class="n">Y_prediction</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
        
        <span class="c1"># YOUR CODE ENDS HERE</span>
    
    <span class="k">return</span> <span class="n">Y_prediction</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">w</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([[</span><span class="mf">0.1124579</span><span class="p">],</span> <span class="p">[</span><span class="mf">0.23106775</span><span class="p">]])</span>
<span class="n">b</span> <span class="o">=</span> <span class="o">-</span><span class="mf">0.3</span>
<span class="n">X</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([[</span><span class="mf">1.</span><span class="p">,</span> <span class="o">-</span><span class="mf">1.1</span><span class="p">,</span> <span class="o">-</span><span class="mf">3.2</span><span class="p">],[</span><span class="mf">1.2</span><span class="p">,</span> <span class="mf">2.</span><span class="p">,</span> <span class="mf">0.1</span><span class="p">]])</span>
<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;predictions = &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">predict</span><span class="p">(</span><span class="n">w</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">X</span><span class="p">)))</span>

<span class="n">predict_test</span><span class="p">(</span><span class="n">predict</span><span class="p">)</span>
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<pre>predictions = [[1. 1. 0.]]
<span class="ansi-green-intense-fg">All tests passed!
</span></pre>
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<p><font color='blue'></p>
<p><strong>What to remember:</strong></p>
<p>You've implemented several functions that:</p>
<ul>
<li>Initialize (w,b)</li>
<li>Optimize the loss iteratively to learn parameters (w,b):<ul>
<li>Computing the cost and its gradient </li>
<li>Updating the parameters using gradient descent</li>
</ul>
</li>
<li>Use the learned (w,b) to predict the labels for a given set of examples</li>
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<p><a name='5'></a></p>
<h2 id="5---Merge-all-functions-into-a-model">5 - Merge all functions into a model<a class="anchor-link" href="#5---Merge-all-functions-into-a-model">&#182;</a></h2><p>You will now see how the overall model is structured by putting together all the building blocks (functions implemented in the previous parts) together, in the right order.</p>
<p><a name='ex-8'></a></p>
<h3 id="Exercise-8---model">Exercise 8 - model<a class="anchor-link" href="#Exercise-8---model">&#182;</a></h3><p>Implement the model function. Use the following notation:</p>

<pre><code>- Y_prediction_test for your predictions on the test set
- Y_prediction_train for your predictions on the train set
- parameters, grads, costs for the outputs of optimize()</code></pre>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># GRADED FUNCTION: model</span>

<span class="k">def</span> <span class="nf">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="n">X_test</span><span class="p">,</span> <span class="n">Y_test</span><span class="p">,</span> <span class="n">num_iterations</span><span class="o">=</span><span class="mi">2000</span><span class="p">,</span> <span class="n">learning_rate</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span> <span class="n">print_cost</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;</span>
<span class="sd">    Builds the logistic regression model by calling the function you&#39;ve implemented previously</span>
<span class="sd">    </span>
<span class="sd">    Arguments:</span>
<span class="sd">    X_train -- training set represented by a numpy array of shape (num_px * num_px * 3, m_train)</span>
<span class="sd">    Y_train -- training labels represented by a numpy array (vector) of shape (1, m_train)</span>
<span class="sd">    X_test -- test set represented by a numpy array of shape (num_px * num_px * 3, m_test)</span>
<span class="sd">    Y_test -- test labels represented by a numpy array (vector) of shape (1, m_test)</span>
<span class="sd">    num_iterations -- hyperparameter representing the number of iterations to optimize the parameters</span>
<span class="sd">    learning_rate -- hyperparameter representing the learning rate used in the update rule of optimize()</span>
<span class="sd">    print_cost -- Set to True to print the cost every 100 iterations</span>
<span class="sd">    </span>
<span class="sd">    Returns:</span>
<span class="sd">    d -- dictionary containing information about the model.</span>
<span class="sd">    &quot;&quot;&quot;</span>
    <span class="c1"># (≈ 1 line of code)   </span>
    <span class="c1"># initialize parameters with zeros </span>
    <span class="c1"># w, b = ...</span>
    
    <span class="c1">#(≈ 1 line of code)</span>
    <span class="c1"># Gradient descent </span>
    <span class="c1"># params, grads, costs = ...</span>
    
    <span class="c1"># Retrieve parameters w and b from dictionary &quot;params&quot;</span>
    <span class="c1"># w = ...</span>
    <span class="c1"># b = ...</span>
    
    <span class="c1"># Predict test/train set examples (≈ 2 lines of code)</span>
    <span class="c1"># Y_prediction_test = ...</span>
    <span class="c1"># Y_prediction_train = ...</span>
    
    <span class="c1"># YOUR CODE STARTS HERE</span>
    
    <span class="n">w</span><span class="p">,</span> <span class="n">b</span> <span class="o">=</span> <span class="n">initialize_with_zeros</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="mi">0</span><span class="p">])</span>
    <span class="n">params</span><span class="p">,</span> <span class="n">grads</span><span class="p">,</span> <span class="n">costs</span> <span class="o">=</span> <span class="n">optimize</span><span class="p">(</span><span class="n">w</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">X_train</span><span class="p">,</span> <span class="n">Y_train</span><span class="p">,</span> <span class="n">num_iterations</span><span class="p">,</span> <span class="n">learning_rate</span><span class="p">,</span> <span class="n">print_cost</span><span class="p">)</span>
    
    <span class="n">w</span> <span class="o">=</span> <span class="n">params</span><span class="p">[</span><span class="s1">&#39;w&#39;</span><span class="p">]</span>
    <span class="n">b</span> <span class="o">=</span> <span class="n">params</span><span class="p">[</span><span class="s1">&#39;b&#39;</span><span class="p">]</span>
    
    <span class="n">Y_prediction_test</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">w</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">X_test</span><span class="p">)</span>
    <span class="n">Y_prediction_train</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">w</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">X_train</span><span class="p">)</span>
    
    <span class="c1"># YOUR CODE ENDS HERE</span>

    <span class="c1"># Print train/test Errors</span>
    <span class="k">if</span> <span class="n">print_cost</span><span class="p">:</span>
        <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;train accuracy: </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="mi">100</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">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">Y_prediction_train</span> <span class="o">-</span> <span class="n">Y_train</span><span class="p">))</span> <span class="o">*</span> <span class="mi">100</span><span class="p">))</span>
        <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;test accuracy: </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="mi">100</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">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">Y_prediction_test</span> <span class="o">-</span> <span class="n">Y_test</span><span class="p">))</span> <span class="o">*</span> <span class="mi">100</span><span class="p">))</span>

    
    <span class="n">d</span> <span class="o">=</span> <span class="p">{</span><span class="s2">&quot;costs&quot;</span><span class="p">:</span> <span class="n">costs</span><span class="p">,</span>
         <span class="s2">&quot;Y_prediction_test&quot;</span><span class="p">:</span> <span class="n">Y_prediction_test</span><span class="p">,</span> 
         <span class="s2">&quot;Y_prediction_train&quot;</span> <span class="p">:</span> <span class="n">Y_prediction_train</span><span class="p">,</span> 
         <span class="s2">&quot;w&quot;</span> <span class="p">:</span> <span class="n">w</span><span class="p">,</span> 
         <span class="s2">&quot;b&quot;</span> <span class="p">:</span> <span class="n">b</span><span class="p">,</span>
         <span class="s2">&quot;learning_rate&quot;</span> <span class="p">:</span> <span class="n">learning_rate</span><span class="p">,</span>
         <span class="s2">&quot;num_iterations&quot;</span><span class="p">:</span> <span class="n">num_iterations</span><span class="p">}</span>
    
    <span class="k">return</span> <span class="n">d</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">public_tests</span> <span class="kn">import</span> <span class="o">*</span>

<span class="n">model_test</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>
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<pre><span class="ansi-green-intense-fg">All tests passed!
</span></pre>
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<p>If you pass all the tests, run the following cell to train your model.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">logistic_regression_model</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">train_set_x</span><span class="p">,</span> <span class="n">train_set_y</span><span class="p">,</span> <span class="n">test_set_x</span><span class="p">,</span> <span class="n">test_set_y</span><span class="p">,</span> <span class="n">num_iterations</span><span class="o">=</span><span class="mi">2000</span><span class="p">,</span> <span class="n">learning_rate</span><span class="o">=</span><span class="mf">0.005</span><span class="p">,</span> <span class="n">print_cost</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<pre>Cost after iteration 0: 0.693147
Cost after iteration 100: 0.584508
Cost after iteration 200: 0.466949
Cost after iteration 300: 0.376007
Cost after iteration 400: 0.331463
Cost after iteration 500: 0.303273
Cost after iteration 600: 0.279880
Cost after iteration 700: 0.260042
Cost after iteration 800: 0.242941
Cost after iteration 900: 0.228004
Cost after iteration 1000: 0.214820
Cost after iteration 1100: 0.203078
Cost after iteration 1200: 0.192544
Cost after iteration 1300: 0.183033
Cost after iteration 1400: 0.174399
Cost after iteration 1500: 0.166521
Cost after iteration 1600: 0.159305
Cost after iteration 1700: 0.152667
Cost after iteration 1800: 0.146542
Cost after iteration 1900: 0.140872
train accuracy: 99.04306220095694 %
test accuracy: 70.0 %
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<p><strong>Comment</strong>: Training accuracy is close to 100%. This is a good sanity check: your model is working and has high enough capacity to fit the training data. Test accuracy is 70%. It is actually not bad for this simple model, given the small dataset we used and that logistic regression is a linear classifier. But no worries, you'll build an even better classifier next week!</p>
<p>Also, you see that the model is clearly overfitting the training data. Later in this specialization you will learn how to reduce overfitting, for example by using regularization. Using the code below (and changing the <code>index</code> variable) you can look at predictions on pictures of the test set.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Example of a picture that was wrongly classified.</span>
<span class="n">index</span> <span class="o">=</span> <span class="mi">15</span>
<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">test_set_x</span><span class="p">[:,</span> <span class="n">index</span><span class="p">]</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="n">num_px</span><span class="p">,</span> <span class="n">num_px</span><span class="p">,</span> <span class="mi">3</span><span class="p">)))</span>
<span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;y = &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">test_set_y</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="n">index</span><span class="p">])</span> <span class="o">+</span> <span class="s2">&quot;, you predicted that it is a </span><span class="se">\&quot;</span><span class="s2">&quot;</span> <span class="o">+</span> <span class="n">classes</span><span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">logistic_regression_model</span><span class="p">[</span><span class="s1">&#39;Y_prediction_test&#39;</span><span class="p">][</span><span class="mi">0</span><span class="p">,</span><span class="n">index</span><span class="p">])]</span><span class="o">.</span><span class="n">decode</span><span class="p">(</span><span class="s2">&quot;utf-8&quot;</span><span class="p">)</span> <span class="o">+</span>  <span class="s2">&quot;</span><span class="se">\&quot;</span><span class="s2"> picture.&quot;</span><span class="p">)</span>
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<pre>y = 1, you predicted that it is a &#34;cat&#34; picture.
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<p>Let's also plot the cost function and the gradients.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Plot learning curve (with costs)</span>
<span class="n">costs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">squeeze</span><span class="p">(</span><span class="n">logistic_regression_model</span><span class="p">[</span><span class="s1">&#39;costs&#39;</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">costs</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;cost&#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;iterations (per hundreds)&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Learning rate =&quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">logistic_regression_model</span><span class="p">[</span><span class="s2">&quot;learning_rate&quot;</span><span class="p">]))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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<p><strong>Interpretation</strong>:
You can see the cost decreasing. It shows that the parameters are being learned. However, you see that you could train the model even more on the training set. Try to increase the number of iterations in the cell above and rerun the cells. You might see that the training set accuracy goes up, but the test set accuracy goes down. This is called overfitting.</p>

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<h2 id="6---Further-analysis-(optional/ungraded-exercise)">6 - Further analysis (optional/ungraded exercise)<a class="anchor-link" href="#6---Further-analysis-(optional/ungraded-exercise)">&#182;</a></h2><p>Congratulations on building your first image classification model. Let's analyze it further, and examine possible choices for the learning rate $\alpha$.</p>

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<h4 id="Choice-of-learning-rate">Choice of learning rate<a class="anchor-link" href="#Choice-of-learning-rate">&#182;</a></h4><p><strong>Reminder</strong>:
In order for Gradient Descent to work you must choose the learning rate wisely. The learning rate $\alpha$  determines how rapidly we update the parameters. If the learning rate is too large we may "overshoot" the optimal value. Similarly, if it is too small we will need too many iterations to converge to the best values. That's why it is crucial to use a well-tuned learning rate.</p>
<p>Let's compare the learning curve of our model with several choices of learning rates. Run the cell below. This should take about 1 minute. Feel free also to try different values than the three we have initialized the <code>learning_rates</code> variable to contain, and see what happens.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">learning_rates</span> <span class="o">=</span> <span class="p">[</span><span class="mf">0.01</span><span class="p">,</span> <span class="mf">0.001</span><span class="p">,</span> <span class="mf">0.0001</span><span class="p">]</span>
<span class="n">models</span> <span class="o">=</span> <span class="p">{}</span>

<span class="k">for</span> <span class="n">lr</span> <span class="ow">in</span> <span class="n">learning_rates</span><span class="p">:</span>
    <span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;Training a model with learning rate: &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">lr</span><span class="p">))</span>
    <span class="n">models</span><span class="p">[</span><span class="nb">str</span><span class="p">(</span><span class="n">lr</span><span class="p">)]</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">train_set_x</span><span class="p">,</span> <span class="n">train_set_y</span><span class="p">,</span> <span class="n">test_set_x</span><span class="p">,</span> <span class="n">test_set_y</span><span class="p">,</span> <span class="n">num_iterations</span><span class="o">=</span><span class="mi">1500</span><span class="p">,</span> <span class="n">learning_rate</span><span class="o">=</span><span class="n">lr</span><span class="p">,</span> <span class="n">print_cost</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
    <span class="nb">print</span> <span class="p">(</span><span class="s1">&#39;</span><span class="se">\n</span><span class="s1">&#39;</span> <span class="o">+</span> <span class="s2">&quot;-------------------------------------------------------&quot;</span> <span class="o">+</span> <span class="s1">&#39;</span><span class="se">\n</span><span class="s1">&#39;</span><span class="p">)</span>

<span class="k">for</span> <span class="n">lr</span> <span class="ow">in</span> <span class="n">learning_rates</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">np</span><span class="o">.</span><span class="n">squeeze</span><span class="p">(</span><span class="n">models</span><span class="p">[</span><span class="nb">str</span><span class="p">(</span><span class="n">lr</span><span class="p">)][</span><span class="s2">&quot;costs&quot;</span><span class="p">]),</span> <span class="n">label</span><span class="o">=</span><span class="nb">str</span><span class="p">(</span><span class="n">models</span><span class="p">[</span><span class="nb">str</span><span class="p">(</span><span class="n">lr</span><span class="p">)][</span><span class="s2">&quot;learning_rate&quot;</span><span class="p">]))</span>

<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;cost&#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;iterations (hundreds)&#39;</span><span class="p">)</span>

<span class="n">legend</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="s1">&#39;upper center&#39;</span><span class="p">,</span> <span class="n">shadow</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">frame</span> <span class="o">=</span> <span class="n">legend</span><span class="o">.</span><span class="n">get_frame</span><span class="p">()</span>
<span class="n">frame</span><span class="o">.</span><span class="n">set_facecolor</span><span class="p">(</span><span class="s1">&#39;0.90&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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<pre>Training a model with learning rate: 0.01

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Training a model with learning rate: 0.001

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Training a model with learning rate: 0.0001

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<p><strong>Interpretation</strong>:</p>
<ul>
<li>Different learning rates give different costs and thus different predictions results.</li>
<li>If the learning rate is too large (0.01), the cost may oscillate up and down. It may even diverge (though in this example, using 0.01 still eventually ends up at a good value for the cost). </li>
<li>A lower cost doesn't mean a better model. You have to check if there is possibly overfitting. It happens when the training accuracy is a lot higher than the test accuracy.</li>
<li>In deep learning, we usually recommend that you: <ul>
<li>Choose the learning rate that better minimizes the cost function.</li>
<li>If your model overfits, use other techniques to reduce overfitting. (We'll talk about this in later videos.) </li>
</ul>
</li>
</ul>

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<p><a name='7'></a></p>
<h2 id="7---Test-with-your-own-image-(optional/ungraded-exercise)">7 - Test with your own image (optional/ungraded exercise)<a class="anchor-link" href="#7---Test-with-your-own-image-(optional/ungraded-exercise)">&#182;</a></h2><p>Congratulations on finishing this assignment. You can use your own image and see the output of your model. To do that:</p>

<pre><code>1. Click on "File" in the upper bar of this notebook, then click "Open" to go on your Coursera Hub.
2. Add your image to this Jupyter Notebook's directory, in the "images" folder
3. Change your image's name in the following code
4. Run the code and check if the algorithm is right (1 = cat, 0 = non-cat)!</code></pre>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># change this to the name of your image file</span>
<span class="n">my_image</span> <span class="o">=</span> <span class="s2">&quot;my_image.jpg&quot;</span>   

<span class="c1"># We preprocess the image to fit your algorithm.</span>
<span class="n">fname</span> <span class="o">=</span> <span class="s2">&quot;images/&quot;</span> <span class="o">+</span> <span class="n">my_image</span>
<span class="n">image</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">fname</span><span class="p">)</span><span class="o">.</span><span class="n">resize</span><span class="p">((</span><span class="n">num_px</span><span class="p">,</span> <span class="n">num_px</span><span class="p">)))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
<span class="n">image</span> <span class="o">=</span> <span class="n">image</span> <span class="o">/</span> <span class="mf">255.</span>
<span class="n">image</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span> <span class="n">num_px</span> <span class="o">*</span> <span class="n">num_px</span> <span class="o">*</span> <span class="mi">3</span><span class="p">))</span><span class="o">.</span><span class="n">T</span>
<span class="n">my_predicted_image</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">logistic_regression_model</span><span class="p">[</span><span class="s2">&quot;w&quot;</span><span class="p">],</span> <span class="n">logistic_regression_model</span><span class="p">[</span><span class="s2">&quot;b&quot;</span><span class="p">],</span> <span class="n">image</span><span class="p">)</span>

<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;y = &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">squeeze</span><span class="p">(</span><span class="n">my_predicted_image</span><span class="p">))</span> <span class="o">+</span> <span class="s2">&quot;, your algorithm predicts a </span><span class="se">\&quot;</span><span class="s2">&quot;</span> <span class="o">+</span> <span class="n">classes</span><span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">squeeze</span><span class="p">(</span><span class="n">my_predicted_image</span><span class="p">)),]</span><span class="o">.</span><span class="n">decode</span><span class="p">(</span><span class="s2">&quot;utf-8&quot;</span><span class="p">)</span> <span class="o">+</span>  <span class="s2">&quot;</span><span class="se">\&quot;</span><span class="s2"> picture.&quot;</span><span class="p">)</span>
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<pre>y = 0.0, your algorithm predicts a &#34;non-cat&#34; picture.
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<p><strong>What to remember from this assignment:</strong></p>
<ol>
<li>Preprocessing the dataset is important.</li>
<li>You implemented each function separately: initialize(), propagate(), optimize(). Then you built a model().</li>
<li>Tuning the learning rate (which is an example of a "hyperparameter") can make a big difference to the algorithm. You will see more examples of this later in this course!</li>
</ol>

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<p>Finally, if you'd like, we invite you to try different things on this Notebook. Make sure you submit before trying anything. Once you submit, things you can play with include:</p>

<pre><code>- Play with the learning rate and the number of iterations
- Try different initialization methods and compare the results
- Test other preprocessings (center the data, or divide each row by its standard deviation)</code></pre>

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<p>Bibliography:</p>
<ul>
<li><a href="http://www.wildml.com/2015/09/implementing-a-neural-network-from-scratch/">http://www.wildml.com/2015/09/implementing-a-neural-network-from-scratch/</a></li>
<li><a href="https://stats.stackexchange.com/questions/211436/why-do-we-normalize-images-by-subtracting-the-datasets-image-mean-and-not-the-c">https://stats.stackexchange.com/questions/211436/why-do-we-normalize-images-by-subtracting-the-datasets-image-mean-and-not-the-c</a></li>
</ul>

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