UCI Wine-Dataset-Analysis.html

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  content: "\e252";
}
.glyphicon-triangle-top:before {
  content: "\e253";
}
.glyphicon-console:before {
  content: "\e254";
}
.glyphicon-superscript:before {
  content: "\e255";
}
.glyphicon-subscript:before {
  content: "\e256";
}
.glyphicon-menu-left:before {
  content: "\e257";
}
.glyphicon-menu-right:before {
  content: "\e258";
}
.glyphicon-menu-down:before {
  content: "\e259";
}
.glyphicon-menu-up:before {
  content: "\e260";
}
* {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
*:before,
*:after {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
html {
  font-size: 10px;
  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);
}
body {
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-size: 13px;
  line-height: 1.42857143;
  color: #000;
  background-color: #fff;
}
input,
button,
select,
textarea {
  font-family: inherit;
  font-size: inherit;
  line-height: inherit;
}
a {
  color: #337ab7;
  text-decoration: none;
}
a:hover,
a:focus {
  color: #23527c;
  text-decoration: underline;
}
a:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
figure {
  margin: 0;
}
img {
  vertical-align: middle;
}
.img-responsive,
.thumbnail > img,
.thumbnail a > img,
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  display: block;
  max-width: 100%;
  height: auto;
}
.img-rounded {
  border-radius: 3px;
}
.img-thumbnail {
  padding: 4px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: all 0.2s ease-in-out;
  -o-transition: all 0.2s ease-in-out;
  transition: all 0.2s ease-in-out;
  display: inline-block;
  max-width: 100%;
  height: auto;
}
.img-circle {
  border-radius: 50%;
}
hr {
  margin-top: 18px;
  margin-bottom: 18px;
  border: 0;
  border-top: 1px solid #eeeeee;
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  margin: -1px;
  padding: 0;
  overflow: hidden;
  clip: rect(0, 0, 0, 0);
  border: 0;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
[role="button"] {
  cursor: pointer;
}
h1,
h2,
h3,
h4,
h5,
h6,
.h1,
.h2,
.h3,
.h4,
.h5,
.h6 {
  font-family: inherit;
  font-weight: 500;
  line-height: 1.1;
  color: inherit;
}
h1 small,
h2 small,
h3 small,
h4 small,
h5 small,
h6 small,
.h1 small,
.h2 small,
.h3 small,
.h4 small,
.h5 small,
.h6 small,
h1 .small,
h2 .small,
h3 .small,
h4 .small,
h5 .small,
h6 .small,
.h1 .small,
.h2 .small,
.h3 .small,
.h4 .small,
.h5 .small,
.h6 .small {
  font-weight: normal;
  line-height: 1;
  color: #777777;
}
h1,
.h1,
h2,
.h2,
h3,
.h3 {
  margin-top: 18px;
  margin-bottom: 9px;
}
h1 small,
.h1 small,
h2 small,
.h2 small,
h3 small,
.h3 small,
h1 .small,
.h1 .small,
h2 .small,
.h2 .small,
h3 .small,
.h3 .small {
  font-size: 65%;
}
h4,
.h4,
h5,
.h5,
h6,
.h6 {
  margin-top: 9px;
  margin-bottom: 9px;
}
h4 small,
.h4 small,
h5 small,
.h5 small,
h6 small,
.h6 small,
h4 .small,
.h4 .small,
h5 .small,
.h5 .small,
h6 .small,
.h6 .small {
  font-size: 75%;
}
h1,
.h1 {
  font-size: 33px;
}
h2,
.h2 {
  font-size: 27px;
}
h3,
.h3 {
  font-size: 23px;
}
h4,
.h4 {
  font-size: 17px;
}
h5,
.h5 {
  font-size: 13px;
}
h6,
.h6 {
  font-size: 12px;
}
p {
  margin: 0 0 9px;
}
.lead {
  margin-bottom: 18px;
  font-size: 14px;
  font-weight: 300;
  line-height: 1.4;
}
@media (min-width: 768px) {
  .lead {
    font-size: 19.5px;
  }
}
small,
.small {
  font-size: 92%;
}
mark,
.mark {
  background-color: #fcf8e3;
  padding: .2em;
}
.text-left {
  text-align: left;
}
.text-right {
  text-align: right;
}
.text-center {
  text-align: center;
}
.text-justify {
  text-align: justify;
}
.text-nowrap {
  white-space: nowrap;
}
.text-lowercase {
  text-transform: lowercase;
}
.text-uppercase {
  text-transform: uppercase;
}
.text-capitalize {
  text-transform: capitalize;
}
.text-muted {
  color: #777777;
}
.text-primary {
  color: #337ab7;
}
a.text-primary:hover,
a.text-primary:focus {
  color: #286090;
}
.text-success {
  color: #3c763d;
}
a.text-success:hover,
a.text-success:focus {
  color: #2b542c;
}
.text-info {
  color: #31708f;
}
a.text-info:hover,
a.text-info:focus {
  color: #245269;
}
.text-warning {
  color: #8a6d3b;
}
a.text-warning:hover,
a.text-warning:focus {
  color: #66512c;
}
.text-danger {
  color: #a94442;
}
a.text-danger:hover,
a.text-danger:focus {
  color: #843534;
}
.bg-primary {
  color: #fff;
  background-color: #337ab7;
}
a.bg-primary:hover,
a.bg-primary:focus {
  background-color: #286090;
}
.bg-success {
  background-color: #dff0d8;
}
a.bg-success:hover,
a.bg-success:focus {
  background-color: #c1e2b3;
}
.bg-info {
  background-color: #d9edf7;
}
a.bg-info:hover,
a.bg-info:focus {
  background-color: #afd9ee;
}
.bg-warning {
  background-color: #fcf8e3;
}
a.bg-warning:hover,
a.bg-warning:focus {
  background-color: #f7ecb5;
}
.bg-danger {
  background-color: #f2dede;
}
a.bg-danger:hover,
a.bg-danger:focus {
  background-color: #e4b9b9;
}
.page-header {
  padding-bottom: 8px;
  margin: 36px 0 18px;
  border-bottom: 1px solid #eeeeee;
}
ul,
ol {
  margin-top: 0;
  margin-bottom: 9px;
}
ul ul,
ol ul,
ul ol,
ol ol {
  margin-bottom: 0;
}
.list-unstyled {
  padding-left: 0;
  list-style: none;
}
.list-inline {
  padding-left: 0;
  list-style: none;
  margin-left: -5px;
}
.list-inline > li {
  display: inline-block;
  padding-left: 5px;
  padding-right: 5px;
}
dl {
  margin-top: 0;
  margin-bottom: 18px;
}
dt,
dd {
  line-height: 1.42857143;
}
dt {
  font-weight: bold;
}
dd {
  margin-left: 0;
}
@media (min-width: 541px) {
  .dl-horizontal dt {
    float: left;
    width: 160px;
    clear: left;
    text-align: right;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
  }
  .dl-horizontal dd {
    margin-left: 180px;
  }
}
abbr[title],
abbr[data-original-title] {
  cursor: help;
  border-bottom: 1px dotted #777777;
}
.initialism {
  font-size: 90%;
  text-transform: uppercase;
}
blockquote {
  padding: 9px 18px;
  margin: 0 0 18px;
  font-size: inherit;
  border-left: 5px solid #eeeeee;
}
blockquote p:last-child,
blockquote ul:last-child,
blockquote ol:last-child {
  margin-bottom: 0;
}
blockquote footer,
blockquote small,
blockquote .small {
  display: block;
  font-size: 80%;
  line-height: 1.42857143;
  color: #777777;
}
blockquote footer:before,
blockquote small:before,
blockquote .small:before {
  content: '\2014 \00A0';
}
.blockquote-reverse,
blockquote.pull-right {
  padding-right: 15px;
  padding-left: 0;
  border-right: 5px solid #eeeeee;
  border-left: 0;
  text-align: right;
}
.blockquote-reverse footer:before,
blockquote.pull-right footer:before,
.blockquote-reverse small:before,
blockquote.pull-right small:before,
.blockquote-reverse .small:before,
blockquote.pull-right .small:before {
  content: '';
}
.blockquote-reverse footer:after,
blockquote.pull-right footer:after,
.blockquote-reverse small:after,
blockquote.pull-right small:after,
.blockquote-reverse .small:after,
blockquote.pull-right .small:after {
  content: '\00A0 \2014';
}
address {
  margin-bottom: 18px;
  font-style: normal;
  line-height: 1.42857143;
}
code,
kbd,
pre,
samp {
  font-family: monospace;
}
code {
  padding: 2px 4px;
  font-size: 90%;
  color: #c7254e;
  background-color: #f9f2f4;
  border-radius: 2px;
}
kbd {
  padding: 2px 4px;
  font-size: 90%;
  color: #888;
  background-color: transparent;
  border-radius: 1px;
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
}
kbd kbd {
  padding: 0;
  font-size: 100%;
  font-weight: bold;
  box-shadow: none;
}
pre {
  display: block;
  padding: 8.5px;
  margin: 0 0 9px;
  font-size: 12px;
  line-height: 1.42857143;
  word-break: break-all;
  word-wrap: break-word;
  color: #333333;
  background-color: #f5f5f5;
  border: 1px solid #ccc;
  border-radius: 2px;
}
pre code {
  padding: 0;
  font-size: inherit;
  color: inherit;
  white-space: pre-wrap;
  background-color: transparent;
  border-radius: 0;
}
.pre-scrollable {
  max-height: 340px;
  overflow-y: scroll;
}
.container {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
@media (min-width: 768px) {
  .container {
    width: 768px;
  }
}
@media (min-width: 992px) {
  .container {
    width: 940px;
  }
}
@media (min-width: 1200px) {
  .container {
    width: 1140px;
  }
}
.container-fluid {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
.row {
  margin-left: 0px;
  margin-right: 0px;
}
.col-xs-1, .col-sm-1, .col-md-1, .col-lg-1, .col-xs-2, .col-sm-2, .col-md-2, .col-lg-2, .col-xs-3, .col-sm-3, .col-md-3, .col-lg-3, .col-xs-4, .col-sm-4, .col-md-4, .col-lg-4, .col-xs-5, .col-sm-5, .col-md-5, .col-lg-5, .col-xs-6, .col-sm-6, .col-md-6, .col-lg-6, .col-xs-7, .col-sm-7, .col-md-7, .col-lg-7, .col-xs-8, .col-sm-8, .col-md-8, .col-lg-8, .col-xs-9, .col-sm-9, .col-md-9, .col-lg-9, .col-xs-10, .col-sm-10, .col-md-10, .col-lg-10, .col-xs-11, .col-sm-11, .col-md-11, .col-lg-11, .col-xs-12, .col-sm-12, .col-md-12, .col-lg-12 {
  position: relative;
  min-height: 1px;
  padding-left: 0px;
  padding-right: 0px;
}
.col-xs-1, .col-xs-2, .col-xs-3, .col-xs-4, .col-xs-5, .col-xs-6, .col-xs-7, .col-xs-8, .col-xs-9, .col-xs-10, .col-xs-11, .col-xs-12 {
  float: left;
}
.col-xs-12 {
  width: 100%;
}
.col-xs-11 {
  width: 91.66666667%;
}
.col-xs-10 {
  width: 83.33333333%;
}
.col-xs-9 {
  width: 75%;
}
.col-xs-8 {
  width: 66.66666667%;
}
.col-xs-7 {
  width: 58.33333333%;
}
.col-xs-6 {
  width: 50%;
}
.col-xs-5 {
  width: 41.66666667%;
}
.col-xs-4 {
  width: 33.33333333%;
}
.col-xs-3 {
  width: 25%;
}
.col-xs-2 {
  width: 16.66666667%;
}
.col-xs-1 {
  width: 8.33333333%;
}
.col-xs-pull-12 {
  right: 100%;
}
.col-xs-pull-11 {
  right: 91.66666667%;
}
.col-xs-pull-10 {
  right: 83.33333333%;
}
.col-xs-pull-9 {
  right: 75%;
}
.col-xs-pull-8 {
  right: 66.66666667%;
}
.col-xs-pull-7 {
  right: 58.33333333%;
}
.col-xs-pull-6 {
  right: 50%;
}
.col-xs-pull-5 {
  right: 41.66666667%;
}
.col-xs-pull-4 {
  right: 33.33333333%;
}
.col-xs-pull-3 {
  right: 25%;
}
.col-xs-pull-2 {
  right: 16.66666667%;
}
.col-xs-pull-1 {
  right: 8.33333333%;
}
.col-xs-pull-0 {
  right: auto;
}
.col-xs-push-12 {
  left: 100%;
}
.col-xs-push-11 {
  left: 91.66666667%;
}
.col-xs-push-10 {
  left: 83.33333333%;
}
.col-xs-push-9 {
  left: 75%;
}
.col-xs-push-8 {
  left: 66.66666667%;
}
.col-xs-push-7 {
  left: 58.33333333%;
}
.col-xs-push-6 {
  left: 50%;
}
.col-xs-push-5 {
  left: 41.66666667%;
}
.col-xs-push-4 {
  left: 33.33333333%;
}
.col-xs-push-3 {
  left: 25%;
}
.col-xs-push-2 {
  left: 16.66666667%;
}
.col-xs-push-1 {
  left: 8.33333333%;
}
.col-xs-push-0 {
  left: auto;
}
.col-xs-offset-12 {
  margin-left: 100%;
}
.col-xs-offset-11 {
  margin-left: 91.66666667%;
}
.col-xs-offset-10 {
  margin-left: 83.33333333%;
}
.col-xs-offset-9 {
  margin-left: 75%;
}
.col-xs-offset-8 {
  margin-left: 66.66666667%;
}
.col-xs-offset-7 {
  margin-left: 58.33333333%;
}
.col-xs-offset-6 {
  margin-left: 50%;
}
.col-xs-offset-5 {
  margin-left: 41.66666667%;
}
.col-xs-offset-4 {
  margin-left: 33.33333333%;
}
.col-xs-offset-3 {
  margin-left: 25%;
}
.col-xs-offset-2 {
  margin-left: 16.66666667%;
}
.col-xs-offset-1 {
  margin-left: 8.33333333%;
}
.col-xs-offset-0 {
  margin-left: 0%;
}
@media (min-width: 768px) {
  .col-sm-1, .col-sm-2, .col-sm-3, .col-sm-4, .col-sm-5, .col-sm-6, .col-sm-7, .col-sm-8, .col-sm-9, .col-sm-10, .col-sm-11, .col-sm-12 {
    float: left;
  }
  .col-sm-12 {
    width: 100%;
  }
  .col-sm-11 {
    width: 91.66666667%;
  }
  .col-sm-10 {
    width: 83.33333333%;
  }
  .col-sm-9 {
    width: 75%;
  }
  .col-sm-8 {
    width: 66.66666667%;
  }
  .col-sm-7 {
    width: 58.33333333%;
  }
  .col-sm-6 {
    width: 50%;
  }
  .col-sm-5 {
    width: 41.66666667%;
  }
  .col-sm-4 {
    width: 33.33333333%;
  }
  .col-sm-3 {
    width: 25%;
  }
  .col-sm-2 {
    width: 16.66666667%;
  }
  .col-sm-1 {
    width: 8.33333333%;
  }
  .col-sm-pull-12 {
    right: 100%;
  }
  .col-sm-pull-11 {
    right: 91.66666667%;
  }
  .col-sm-pull-10 {
    right: 83.33333333%;
  }
  .col-sm-pull-9 {
    right: 75%;
  }
  .col-sm-pull-8 {
    right: 66.66666667%;
  }
  .col-sm-pull-7 {
    right: 58.33333333%;
  }
  .col-sm-pull-6 {
    right: 50%;
  }
  .col-sm-pull-5 {
    right: 41.66666667%;
  }
  .col-sm-pull-4 {
    right: 33.33333333%;
  }
  .col-sm-pull-3 {
    right: 25%;
  }
  .col-sm-pull-2 {
    right: 16.66666667%;
  }
  .col-sm-pull-1 {
    right: 8.33333333%;
  }
  .col-sm-pull-0 {
    right: auto;
  }
  .col-sm-push-12 {
    left: 100%;
  }
  .col-sm-push-11 {
    left: 91.66666667%;
  }
  .col-sm-push-10 {
    left: 83.33333333%;
  }
  .col-sm-push-9 {
    left: 75%;
  }
  .col-sm-push-8 {
    left: 66.66666667%;
  }
  .col-sm-push-7 {
    left: 58.33333333%;
  }
  .col-sm-push-6 {
    left: 50%;
  }
  .col-sm-push-5 {
    left: 41.66666667%;
  }
  .col-sm-push-4 {
    left: 33.33333333%;
  }
  .col-sm-push-3 {
    left: 25%;
  }
  .col-sm-push-2 {
    left: 16.66666667%;
  }
  .col-sm-push-1 {
    left: 8.33333333%;
  }
  .col-sm-push-0 {
    left: auto;
  }
  .col-sm-offset-12 {
    margin-left: 100%;
  }
  .col-sm-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-sm-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-sm-offset-9 {
    margin-left: 75%;
  }
  .col-sm-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-sm-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-sm-offset-6 {
    margin-left: 50%;
  }
  .col-sm-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-sm-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-sm-offset-3 {
    margin-left: 25%;
  }
  .col-sm-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-sm-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-sm-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 992px) {
  .col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-11, .col-md-12 {
    float: left;
  }
  .col-md-12 {
    width: 100%;
  }
  .col-md-11 {
    width: 91.66666667%;
  }
  .col-md-10 {
    width: 83.33333333%;
  }
  .col-md-9 {
    width: 75%;
  }
  .col-md-8 {
    width: 66.66666667%;
  }
  .col-md-7 {
    width: 58.33333333%;
  }
  .col-md-6 {
    width: 50%;
  }
  .col-md-5 {
    width: 41.66666667%;
  }
  .col-md-4 {
    width: 33.33333333%;
  }
  .col-md-3 {
    width: 25%;
  }
  .col-md-2 {
    width: 16.66666667%;
  }
  .col-md-1 {
    width: 8.33333333%;
  }
  .col-md-pull-12 {
    right: 100%;
  }
  .col-md-pull-11 {
    right: 91.66666667%;
  }
  .col-md-pull-10 {
    right: 83.33333333%;
  }
  .col-md-pull-9 {
    right: 75%;
  }
  .col-md-pull-8 {
    right: 66.66666667%;
  }
  .col-md-pull-7 {
    right: 58.33333333%;
  }
  .col-md-pull-6 {
    right: 50%;
  }
  .col-md-pull-5 {
    right: 41.66666667%;
  }
  .col-md-pull-4 {
    right: 33.33333333%;
  }
  .col-md-pull-3 {
    right: 25%;
  }
  .col-md-pull-2 {
    right: 16.66666667%;
  }
  .col-md-pull-1 {
    right: 8.33333333%;
  }
  .col-md-pull-0 {
    right: auto;
  }
  .col-md-push-12 {
    left: 100%;
  }
  .col-md-push-11 {
    left: 91.66666667%;
  }
  .col-md-push-10 {
    left: 83.33333333%;
  }
  .col-md-push-9 {
    left: 75%;
  }
  .col-md-push-8 {
    left: 66.66666667%;
  }
  .col-md-push-7 {
    left: 58.33333333%;
  }
  .col-md-push-6 {
    left: 50%;
  }
  .col-md-push-5 {
    left: 41.66666667%;
  }
  .col-md-push-4 {
    left: 33.33333333%;
  }
  .col-md-push-3 {
    left: 25%;
  }
  .col-md-push-2 {
    left: 16.66666667%;
  }
  .col-md-push-1 {
    left: 8.33333333%;
  }
  .col-md-push-0 {
    left: auto;
  }
  .col-md-offset-12 {
    margin-left: 100%;
  }
  .col-md-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-md-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-md-offset-9 {
    margin-left: 75%;
  }
  .col-md-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-md-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-md-offset-6 {
    margin-left: 50%;
  }
  .col-md-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-md-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-md-offset-3 {
    margin-left: 25%;
  }
  .col-md-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-md-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-md-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 1200px) {
  .col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-11, .col-lg-12 {
    float: left;
  }
  .col-lg-12 {
    width: 100%;
  }
  .col-lg-11 {
    width: 91.66666667%;
  }
  .col-lg-10 {
    width: 83.33333333%;
  }
  .col-lg-9 {
    width: 75%;
  }
  .col-lg-8 {
    width: 66.66666667%;
  }
  .col-lg-7 {
    width: 58.33333333%;
  }
  .col-lg-6 {
    width: 50%;
  }
  .col-lg-5 {
    width: 41.66666667%;
  }
  .col-lg-4 {
    width: 33.33333333%;
  }
  .col-lg-3 {
    width: 25%;
  }
  .col-lg-2 {
    width: 16.66666667%;
  }
  .col-lg-1 {
    width: 8.33333333%;
  }
  .col-lg-pull-12 {
    right: 100%;
  }
  .col-lg-pull-11 {
    right: 91.66666667%;
  }
  .col-lg-pull-10 {
    right: 83.33333333%;
  }
  .col-lg-pull-9 {
    right: 75%;
  }
  .col-lg-pull-8 {
    right: 66.66666667%;
  }
  .col-lg-pull-7 {
    right: 58.33333333%;
  }
  .col-lg-pull-6 {
    right: 50%;
  }
  .col-lg-pull-5 {
    right: 41.66666667%;
  }
  .col-lg-pull-4 {
    right: 33.33333333%;
  }
  .col-lg-pull-3 {
    right: 25%;
  }
  .col-lg-pull-2 {
    right: 16.66666667%;
  }
  .col-lg-pull-1 {
    right: 8.33333333%;
  }
  .col-lg-pull-0 {
    right: auto;
  }
  .col-lg-push-12 {
    left: 100%;
  }
  .col-lg-push-11 {
    left: 91.66666667%;
  }
  .col-lg-push-10 {
    left: 83.33333333%;
  }
  .col-lg-push-9 {
    left: 75%;
  }
  .col-lg-push-8 {
    left: 66.66666667%;
  }
  .col-lg-push-7 {
    left: 58.33333333%;
  }
  .col-lg-push-6 {
    left: 50%;
  }
  .col-lg-push-5 {
    left: 41.66666667%;
  }
  .col-lg-push-4 {
    left: 33.33333333%;
  }
  .col-lg-push-3 {
    left: 25%;
  }
  .col-lg-push-2 {
    left: 16.66666667%;
  }
  .col-lg-push-1 {
    left: 8.33333333%;
  }
  .col-lg-push-0 {
    left: auto;
  }
  .col-lg-offset-12 {
    margin-left: 100%;
  }
  .col-lg-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-lg-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-lg-offset-9 {
    margin-left: 75%;
  }
  .col-lg-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-lg-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-lg-offset-6 {
    margin-left: 50%;
  }
  .col-lg-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-lg-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-lg-offset-3 {
    margin-left: 25%;
  }
  .col-lg-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-lg-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-lg-offset-0 {
    margin-left: 0%;
  }
}
table {
  background-color: transparent;
}
caption {
  padding-top: 8px;
  padding-bottom: 8px;
  color: #777777;
  text-align: left;
}
th {
  text-align: left;
}
.table {
  width: 100%;
  max-width: 100%;
  margin-bottom: 18px;
}
.table > thead > tr > th,
.table > tbody > tr > th,
.table > tfoot > tr > th,
.table > thead > tr > td,
.table > tbody > tr > td,
.table > tfoot > tr > td {
  padding: 8px;
  line-height: 1.42857143;
  vertical-align: top;
  border-top: 1px solid #ddd;
}
.table > thead > tr > th {
  vertical-align: bottom;
  border-bottom: 2px solid #ddd;
}
.table > caption + thead > tr:first-child > th,
.table > colgroup + thead > tr:first-child > th,
.table > thead:first-child > tr:first-child > th,
.table > caption + thead > tr:first-child > td,
.table > colgroup + thead > tr:first-child > td,
.table > thead:first-child > tr:first-child > td {
  border-top: 0;
}
.table > tbody + tbody {
  border-top: 2px solid #ddd;
}
.table .table {
  background-color: #fff;
}
.table-condensed > thead > tr > th,
.table-condensed > tbody > tr > th,
.table-condensed > tfoot > tr > th,
.table-condensed > thead > tr > td,
.table-condensed > tbody > tr > td,
.table-condensed > tfoot > tr > td {
  padding: 5px;
}
.table-bordered {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > tbody > tr > th,
.table-bordered > tfoot > tr > th,
.table-bordered > thead > tr > td,
.table-bordered > tbody > tr > td,
.table-bordered > tfoot > tr > td {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > thead > tr > td {
  border-bottom-width: 2px;
}
.table-striped > tbody > tr:nth-of-type(odd) {
  background-color: #f9f9f9;
}
.table-hover > tbody > tr:hover {
  background-color: #f5f5f5;
}
table col[class*="col-"] {
  position: static;
  float: none;
  display: table-column;
}
table td[class*="col-"],
table th[class*="col-"] {
  position: static;
  float: none;
  display: table-cell;
}
.table > thead > tr > td.active,
.table > tbody > tr > td.active,
.table > tfoot > tr > td.active,
.table > thead > tr > th.active,
.table > tbody > tr > th.active,
.table > tfoot > tr > th.active,
.table > thead > tr.active > td,
.table > tbody > tr.active > td,
.table > tfoot > tr.active > td,
.table > thead > tr.active > th,
.table > tbody > tr.active > th,
.table > tfoot > tr.active > th {
  background-color: #f5f5f5;
}
.table-hover > tbody > tr > td.active:hover,
.table-hover > tbody > tr > th.active:hover,
.table-hover > tbody > tr.active:hover > td,
.table-hover > tbody > tr:hover > .active,
.table-hover > tbody > tr.active:hover > th {
  background-color: #e8e8e8;
}
.table > thead > tr > td.success,
.table > tbody > tr > td.success,
.table > tfoot > tr > td.success,
.table > thead > tr > th.success,
.table > tbody > tr > th.success,
.table > tfoot > tr > th.success,
.table > thead > tr.success > td,
.table > tbody > tr.success > td,
.table > tfoot > tr.success > td,
.table > thead > tr.success > th,
.table > tbody > tr.success > th,
.table > tfoot > tr.success > th {
  background-color: #dff0d8;
}
.table-hover > tbody > tr > td.success:hover,
.table-hover > tbody > tr > th.success:hover,
.table-hover > tbody > tr.success:hover > td,
.table-hover > tbody > tr:hover > .success,
.table-hover > tbody > tr.success:hover > th {
  background-color: #d0e9c6;
}
.table > thead > tr > td.info,
.table > tbody > tr > td.info,
.table > tfoot > tr > td.info,
.table > thead > tr > th.info,
.table > tbody > tr > th.info,
.table > tfoot > tr > th.info,
.table > thead > tr.info > td,
.table > tbody > tr.info > td,
.table > tfoot > tr.info > td,
.table > thead > tr.info > th,
.table > tbody > tr.info > th,
.table > tfoot > tr.info > th {
  background-color: #d9edf7;
}
.table-hover > tbody > tr > td.info:hover,
.table-hover > tbody > tr > th.info:hover,
.table-hover > tbody > tr.info:hover > td,
.table-hover > tbody > tr:hover > .info,
.table-hover > tbody > tr.info:hover > th {
  background-color: #c4e3f3;
}
.table > thead > tr > td.warning,
.table > tbody > tr > td.warning,
.table > tfoot > tr > td.warning,
.table > thead > tr > th.warning,
.table > tbody > tr > th.warning,
.table > tfoot > tr > th.warning,
.table > thead > tr.warning > td,
.table > tbody > tr.warning > td,
.table > tfoot > tr.warning > td,
.table > thead > tr.warning > th,
.table > tbody > tr.warning > th,
.table > tfoot > tr.warning > th {
  background-color: #fcf8e3;
}
.table-hover > tbody > tr > td.warning:hover,
.table-hover > tbody > tr > th.warning:hover,
.table-hover > tbody > tr.warning:hover > td,
.table-hover > tbody > tr:hover > .warning,
.table-hover > tbody > tr.warning:hover > th {
  background-color: #faf2cc;
}
.table > thead > tr > td.danger,
.table > tbody > tr > td.danger,
.table > tfoot > tr > td.danger,
.table > thead > tr > th.danger,
.table > tbody > tr > th.danger,
.table > tfoot > tr > th.danger,
.table > thead > tr.danger > td,
.table > tbody > tr.danger > td,
.table > tfoot > tr.danger > td,
.table > thead > tr.danger > th,
.table > tbody > tr.danger > th,
.table > tfoot > tr.danger > th {
  background-color: #f2dede;
}
.table-hover > tbody > tr > td.danger:hover,
.table-hover > tbody > tr > th.danger:hover,
.table-hover > tbody > tr.danger:hover > td,
.table-hover > tbody > tr:hover > .danger,
.table-hover > tbody > tr.danger:hover > th {
  background-color: #ebcccc;
}
.table-responsive {
  overflow-x: auto;
  min-height: 0.01%;
}
@media screen and (max-width: 767px) {
  .table-responsive {
    width: 100%;
    margin-bottom: 13.5px;
    overflow-y: hidden;
    -ms-overflow-style: -ms-autohiding-scrollbar;
    border: 1px solid #ddd;
  }
  .table-responsive > .table {
    margin-bottom: 0;
  }
  .table-responsive > .table > thead > tr > th,
  .table-responsive > .table > tbody > tr > th,
  .table-responsive > .table > tfoot > tr > th,
  .table-responsive > .table > thead > tr > td,
  .table-responsive > .table > tbody > tr > td,
  .table-responsive > .table > tfoot > tr > td {
    white-space: nowrap;
  }
  .table-responsive > .table-bordered {
    border: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:first-child,
  .table-responsive > .table-bordered > tbody > tr > th:first-child,
  .table-responsive > .table-bordered > tfoot > tr > th:first-child,
  .table-responsive > .table-bordered > thead > tr > td:first-child,
  .table-responsive > .table-bordered > tbody > tr > td:first-child,
  .table-responsive > .table-bordered > tfoot > tr > td:first-child {
    border-left: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:last-child,
  .table-responsive > .table-bordered > tbody > tr > th:last-child,
  .table-responsive > .table-bordered > tfoot > tr > th:last-child,
  .table-responsive > .table-bordered > thead > tr > td:last-child,
  .table-responsive > .table-bordered > tbody > tr > td:last-child,
  .table-responsive > .table-bordered > tfoot > tr > td:last-child {
    border-right: 0;
  }
  .table-responsive > .table-bordered > tbody > tr:last-child > th,
  .table-responsive > .table-bordered > tfoot > tr:last-child > th,
  .table-responsive > .table-bordered > tbody > tr:last-child > td,
  .table-responsive > .table-bordered > tfoot > tr:last-child > td {
    border-bottom: 0;
  }
}
fieldset {
  padding: 0;
  margin: 0;
  border: 0;
  min-width: 0;
}
legend {
  display: block;
  width: 100%;
  padding: 0;
  margin-bottom: 18px;
  font-size: 19.5px;
  line-height: inherit;
  color: #333333;
  border: 0;
  border-bottom: 1px solid #e5e5e5;
}
label {
  display: inline-block;
  max-width: 100%;
  margin-bottom: 5px;
  font-weight: bold;
}
input[type="search"] {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
input[type="radio"],
input[type="checkbox"] {
  margin: 4px 0 0;
  margin-top: 1px \9;
  line-height: normal;
}
input[type="file"] {
  display: block;
}
input[type="range"] {
  display: block;
  width: 100%;
}
select[multiple],
select[size] {
  height: auto;
}
input[type="file"]:focus,
input[type="radio"]:focus,
input[type="checkbox"]:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
output {
  display: block;
  padding-top: 7px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
}
.form-control {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
}
.form-control:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.form-control::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.form-control:-ms-input-placeholder {
  color: #999;
}
.form-control::-webkit-input-placeholder {
  color: #999;
}
.form-control::-ms-expand {
  border: 0;
  background-color: transparent;
}
.form-control[disabled],
.form-control[readonly],
fieldset[disabled] .form-control {
  background-color: #eeeeee;
  opacity: 1;
}
.form-control[disabled],
fieldset[disabled] .form-control {
  cursor: not-allowed;
}
textarea.form-control {
  height: auto;
}
input[type="search"] {
  -webkit-appearance: none;
}
@media screen and (-webkit-min-device-pixel-ratio: 0) {
  input[type="date"].form-control,
  input[type="time"].form-control,
  input[type="datetime-local"].form-control,
  input[type="month"].form-control {
    line-height: 32px;
  }
  input[type="date"].input-sm,
  input[type="time"].input-sm,
  input[type="datetime-local"].input-sm,
  input[type="month"].input-sm,
  .input-group-sm input[type="date"],
  .input-group-sm input[type="time"],
  .input-group-sm input[type="datetime-local"],
  .input-group-sm input[type="month"] {
    line-height: 30px;
  }
  input[type="date"].input-lg,
  input[type="time"].input-lg,
  input[type="datetime-local"].input-lg,
  input[type="month"].input-lg,
  .input-group-lg input[type="date"],
  .input-group-lg input[type="time"],
  .input-group-lg input[type="datetime-local"],
  .input-group-lg input[type="month"] {
    line-height: 45px;
  }
}
.form-group {
  margin-bottom: 15px;
}
.radio,
.checkbox {
  position: relative;
  display: block;
  margin-top: 10px;
  margin-bottom: 10px;
}
.radio label,
.checkbox label {
  min-height: 18px;
  padding-left: 20px;
  margin-bottom: 0;
  font-weight: normal;
  cursor: pointer;
}
.radio input[type="radio"],
.radio-inline input[type="radio"],
.checkbox input[type="checkbox"],
.checkbox-inline input[type="checkbox"] {
  position: absolute;
  margin-left: -20px;
  margin-top: 4px \9;
}
.radio + .radio,
.checkbox + .checkbox {
  margin-top: -5px;
}
.radio-inline,
.checkbox-inline {
  position: relative;
  display: inline-block;
  padding-left: 20px;
  margin-bottom: 0;
  vertical-align: middle;
  font-weight: normal;
  cursor: pointer;
}
.radio-inline + .radio-inline,
.checkbox-inline + .checkbox-inline {
  margin-top: 0;
  margin-left: 10px;
}
input[type="radio"][disabled],
input[type="checkbox"][disabled],
input[type="radio"].disabled,
input[type="checkbox"].disabled,
fieldset[disabled] input[type="radio"],
fieldset[disabled] input[type="checkbox"] {
  cursor: not-allowed;
}
.radio-inline.disabled,
.checkbox-inline.disabled,
fieldset[disabled] .radio-inline,
fieldset[disabled] .checkbox-inline {
  cursor: not-allowed;
}
.radio.disabled label,
.checkbox.disabled label,
fieldset[disabled] .radio label,
fieldset[disabled] .checkbox label {
  cursor: not-allowed;
}
.form-control-static {
  padding-top: 7px;
  padding-bottom: 7px;
  margin-bottom: 0;
  min-height: 31px;
}
.form-control-static.input-lg,
.form-control-static.input-sm {
  padding-left: 0;
  padding-right: 0;
}
.input-sm {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-sm {
  height: 30px;
  line-height: 30px;
}
textarea.input-sm,
select[multiple].input-sm {
  height: auto;
}
.form-group-sm .form-control {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.form-group-sm select.form-control {
  height: 30px;
  line-height: 30px;
}
.form-group-sm textarea.form-control,
.form-group-sm select[multiple].form-control {
  height: auto;
}
.form-group-sm .form-control-static {
  height: 30px;
  min-height: 30px;
  padding: 6px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.input-lg {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-lg {
  height: 45px;
  line-height: 45px;
}
textarea.input-lg,
select[multiple].input-lg {
  height: auto;
}
.form-group-lg .form-control {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.form-group-lg select.form-control {
  height: 45px;
  line-height: 45px;
}
.form-group-lg textarea.form-control,
.form-group-lg select[multiple].form-control {
  height: auto;
}
.form-group-lg .form-control-static {
  height: 45px;
  min-height: 35px;
  padding: 11px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.has-feedback {
  position: relative;
}
.has-feedback .form-control {
  padding-right: 40px;
}
.form-control-feedback {
  position: absolute;
  top: 0;
  right: 0;
  z-index: 2;
  display: block;
  width: 32px;
  height: 32px;
  line-height: 32px;
  text-align: center;
  pointer-events: none;
}
.input-lg + .form-control-feedback,
.input-group-lg + .form-control-feedback,
.form-group-lg .form-control + .form-control-feedback {
  width: 45px;
  height: 45px;
  line-height: 45px;
}
.input-sm + .form-control-feedback,
.input-group-sm + .form-control-feedback,
.form-group-sm .form-control + .form-control-feedback {
  width: 30px;
  height: 30px;
  line-height: 30px;
}
.has-success .help-block,
.has-success .control-label,
.has-success .radio,
.has-success .checkbox,
.has-success .radio-inline,
.has-success .checkbox-inline,
.has-success.radio label,
.has-success.checkbox label,
.has-success.radio-inline label,
.has-success.checkbox-inline label {
  color: #3c763d;
}
.has-success .form-control {
  border-color: #3c763d;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-success .form-control:focus {
  border-color: #2b542c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
}
.has-success .input-group-addon {
  color: #3c763d;
  border-color: #3c763d;
  background-color: #dff0d8;
}
.has-success .form-control-feedback {
  color: #3c763d;
}
.has-warning .help-block,
.has-warning .control-label,
.has-warning .radio,
.has-warning .checkbox,
.has-warning .radio-inline,
.has-warning .checkbox-inline,
.has-warning.radio label,
.has-warning.checkbox label,
.has-warning.radio-inline label,
.has-warning.checkbox-inline label {
  color: #8a6d3b;
}
.has-warning .form-control {
  border-color: #8a6d3b;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-warning .form-control:focus {
  border-color: #66512c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
}
.has-warning .input-group-addon {
  color: #8a6d3b;
  border-color: #8a6d3b;
  background-color: #fcf8e3;
}
.has-warning .form-control-feedback {
  color: #8a6d3b;
}
.has-error .help-block,
.has-error .control-label,
.has-error .radio,
.has-error .checkbox,
.has-error .radio-inline,
.has-error .checkbox-inline,
.has-error.radio label,
.has-error.checkbox label,
.has-error.radio-inline label,
.has-error.checkbox-inline label {
  color: #a94442;
}
.has-error .form-control {
  border-color: #a94442;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-error .form-control:focus {
  border-color: #843534;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
}
.has-error .input-group-addon {
  color: #a94442;
  border-color: #a94442;
  background-color: #f2dede;
}
.has-error .form-control-feedback {
  color: #a94442;
}
.has-feedback label ~ .form-control-feedback {
  top: 23px;
}
.has-feedback label.sr-only ~ .form-control-feedback {
  top: 0;
}
.help-block {
  display: block;
  margin-top: 5px;
  margin-bottom: 10px;
  color: #404040;
}
@media (min-width: 768px) {
  .form-inline .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .form-inline .form-control-static {
    display: inline-block;
  }
  .form-inline .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .form-inline .input-group .input-group-addon,
  .form-inline .input-group .input-group-btn,
  .form-inline .input-group .form-control {
    width: auto;
  }
  .form-inline .input-group > .form-control {
    width: 100%;
  }
  .form-inline .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio,
  .form-inline .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio label,
  .form-inline .checkbox label {
    padding-left: 0;
  }
  .form-inline .radio input[type="radio"],
  .form-inline .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .form-inline .has-feedback .form-control-feedback {
    top: 0;
  }
}
.form-horizontal .radio,
.form-horizontal .checkbox,
.form-horizontal .radio-inline,
.form-horizontal .checkbox-inline {
  margin-top: 0;
  margin-bottom: 0;
  padding-top: 7px;
}
.form-horizontal .radio,
.form-horizontal .checkbox {
  min-height: 25px;
}
.form-horizontal .form-group {
  margin-left: 0px;
  margin-right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .control-label {
    text-align: right;
    margin-bottom: 0;
    padding-top: 7px;
  }
}
.form-horizontal .has-feedback .form-control-feedback {
  right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .form-group-lg .control-label {
    padding-top: 11px;
    font-size: 17px;
  }
}
@media (min-width: 768px) {
  .form-horizontal .form-group-sm .control-label {
    padding-top: 6px;
    font-size: 12px;
  }
}
.btn {
  display: inline-block;
  margin-bottom: 0;
  font-weight: normal;
  text-align: center;
  vertical-align: middle;
  touch-action: manipulation;
  cursor: pointer;
  background-image: none;
  border: 1px solid transparent;
  white-space: nowrap;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  border-radius: 2px;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}
.btn:focus,
.btn:active:focus,
.btn.active:focus,
.btn.focus,
.btn:active.focus,
.btn.active.focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
.btn:hover,
.btn:focus,
.btn.focus {
  color: #333;
  text-decoration: none;
}
.btn:active,
.btn.active {
  outline: 0;
  background-image: none;
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn.disabled,
.btn[disabled],
fieldset[disabled] .btn {
  cursor: not-allowed;
  opacity: 0.65;
  filter: alpha(opacity=65);
  -webkit-box-shadow: none;
  box-shadow: none;
}
a.btn.disabled,
fieldset[disabled] a.btn {
  pointer-events: none;
}
.btn-default {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.btn-default:focus,
.btn-default.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.btn-default:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active:hover,
.btn-default.active:hover,
.open > .dropdown-toggle.btn-default:hover,
.btn-default:active:focus,
.btn-default.active:focus,
.open > .dropdown-toggle.btn-default:focus,
.btn-default:active.focus,
.btn-default.active.focus,
.open > .dropdown-toggle.btn-default.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  background-image: none;
}
.btn-default.disabled:hover,
.btn-default[disabled]:hover,
fieldset[disabled] .btn-default:hover,
.btn-default.disabled:focus,
.btn-default[disabled]:focus,
fieldset[disabled] .btn-default:focus,
.btn-default.disabled.focus,
.btn-default[disabled].focus,
fieldset[disabled] .btn-default.focus {
  background-color: #fff;
  border-color: #ccc;
}
.btn-default .badge {
  color: #fff;
  background-color: #333;
}
.btn-primary {
  color: #fff;
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary:focus,
.btn-primary.focus {
  color: #fff;
  background-color: #286090;
  border-color: #122b40;
}
.btn-primary:hover {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active:hover,
.btn-primary.active:hover,
.open > .dropdown-toggle.btn-primary:hover,
.btn-primary:active:focus,
.btn-primary.active:focus,
.open > .dropdown-toggle.btn-primary:focus,
.btn-primary:active.focus,
.btn-primary.active.focus,
.open > .dropdown-toggle.btn-primary.focus {
  color: #fff;
  background-color: #204d74;
  border-color: #122b40;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  background-image: none;
}
.btn-primary.disabled:hover,
.btn-primary[disabled]:hover,
fieldset[disabled] .btn-primary:hover,
.btn-primary.disabled:focus,
.btn-primary[disabled]:focus,
fieldset[disabled] .btn-primary:focus,
.btn-primary.disabled.focus,
.btn-primary[disabled].focus,
fieldset[disabled] .btn-primary.focus {
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary .badge {
  color: #337ab7;
  background-color: #fff;
}
.btn-success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success:focus,
.btn-success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.btn-success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active:hover,
.btn-success.active:hover,
.open > .dropdown-toggle.btn-success:hover,
.btn-success:active:focus,
.btn-success.active:focus,
.open > .dropdown-toggle.btn-success:focus,
.btn-success:active.focus,
.btn-success.active.focus,
.open > .dropdown-toggle.btn-success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  background-image: none;
}
.btn-success.disabled:hover,
.btn-success[disabled]:hover,
fieldset[disabled] .btn-success:hover,
.btn-success.disabled:focus,
.btn-success[disabled]:focus,
fieldset[disabled] .btn-success:focus,
.btn-success.disabled.focus,
.btn-success[disabled].focus,
fieldset[disabled] .btn-success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.btn-info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info:focus,
.btn-info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.btn-info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active:hover,
.btn-info.active:hover,
.open > .dropdown-toggle.btn-info:hover,
.btn-info:active:focus,
.btn-info.active:focus,
.open > .dropdown-toggle.btn-info:focus,
.btn-info:active.focus,
.btn-info.active.focus,
.open > .dropdown-toggle.btn-info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  background-image: none;
}
.btn-info.disabled:hover,
.btn-info[disabled]:hover,
fieldset[disabled] .btn-info:hover,
.btn-info.disabled:focus,
.btn-info[disabled]:focus,
fieldset[disabled] .btn-info:focus,
.btn-info.disabled.focus,
.btn-info[disabled].focus,
fieldset[disabled] .btn-info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.btn-warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning:focus,
.btn-warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.btn-warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active:hover,
.btn-warning.active:hover,
.open > .dropdown-toggle.btn-warning:hover,
.btn-warning:active:focus,
.btn-warning.active:focus,
.open > .dropdown-toggle.btn-warning:focus,
.btn-warning:active.focus,
.btn-warning.active.focus,
.open > .dropdown-toggle.btn-warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  background-image: none;
}
.btn-warning.disabled:hover,
.btn-warning[disabled]:hover,
fieldset[disabled] .btn-warning:hover,
.btn-warning.disabled:focus,
.btn-warning[disabled]:focus,
fieldset[disabled] .btn-warning:focus,
.btn-warning.disabled.focus,
.btn-warning[disabled].focus,
fieldset[disabled] .btn-warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.btn-danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger:focus,
.btn-danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.btn-danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active:hover,
.btn-danger.active:hover,
.open > .dropdown-toggle.btn-danger:hover,
.btn-danger:active:focus,
.btn-danger.active:focus,
.open > .dropdown-toggle.btn-danger:focus,
.btn-danger:active.focus,
.btn-danger.active.focus,
.open > .dropdown-toggle.btn-danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  background-image: none;
}
.btn-danger.disabled:hover,
.btn-danger[disabled]:hover,
fieldset[disabled] .btn-danger:hover,
.btn-danger.disabled:focus,
.btn-danger[disabled]:focus,
fieldset[disabled] .btn-danger:focus,
.btn-danger.disabled.focus,
.btn-danger[disabled].focus,
fieldset[disabled] .btn-danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger .badge {
  color: #d9534f;
  background-color: #fff;
}
.btn-link {
  color: #337ab7;
  font-weight: normal;
  border-radius: 0;
}
.btn-link,
.btn-link:active,
.btn-link.active,
.btn-link[disabled],
fieldset[disabled] .btn-link {
  background-color: transparent;
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn-link,
.btn-link:hover,
.btn-link:focus,
.btn-link:active {
  border-color: transparent;
}
.btn-link:hover,
.btn-link:focus {
  color: #23527c;
  text-decoration: underline;
  background-color: transparent;
}
.btn-link[disabled]:hover,
fieldset[disabled] .btn-link:hover,
.btn-link[disabled]:focus,
fieldset[disabled] .btn-link:focus {
  color: #777777;
  text-decoration: none;
}
.btn-lg,
.btn-group-lg > .btn {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.btn-sm,
.btn-group-sm > .btn {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-xs,
.btn-group-xs > .btn {
  padding: 1px 5px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-block {
  display: block;
  width: 100%;
}
.btn-block + .btn-block {
  margin-top: 5px;
}
input[type="submit"].btn-block,
input[type="reset"].btn-block,
input[type="button"].btn-block {
  width: 100%;
}
.fade {
  opacity: 0;
  -webkit-transition: opacity 0.15s linear;
  -o-transition: opacity 0.15s linear;
  transition: opacity 0.15s linear;
}
.fade.in {
  opacity: 1;
}
.collapse {
  display: none;
}
.collapse.in {
  display: block;
}
tr.collapse.in {
  display: table-row;
}
tbody.collapse.in {
  display: table-row-group;
}
.collapsing {
  position: relative;
  height: 0;
  overflow: hidden;
  -webkit-transition-property: height, visibility;
  transition-property: height, visibility;
  -webkit-transition-duration: 0.35s;
  transition-duration: 0.35s;
  -webkit-transition-timing-function: ease;
  transition-timing-function: ease;
}
.caret {
  display: inline-block;
  width: 0;
  height: 0;
  margin-left: 2px;
  vertical-align: middle;
  border-top: 4px dashed;
  border-top: 4px solid \9;
  border-right: 4px solid transparent;
  border-left: 4px solid transparent;
}
.dropup,
.dropdown {
  position: relative;
}
.dropdown-toggle:focus {
  outline: 0;
}
.dropdown-menu {
  position: absolute;
  top: 100%;
  left: 0;
  z-index: 1000;
  display: none;
  float: left;
  min-width: 160px;
  padding: 5px 0;
  margin: 2px 0 0;
  list-style: none;
  font-size: 13px;
  text-align: left;
  background-color: #fff;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.15);
  border-radius: 2px;
  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  background-clip: padding-box;
}
.dropdown-menu.pull-right {
  right: 0;
  left: auto;
}
.dropdown-menu .divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.dropdown-menu > li > a {
  display: block;
  padding: 3px 20px;
  clear: both;
  font-weight: normal;
  line-height: 1.42857143;
  color: #333333;
  white-space: nowrap;
}
.dropdown-menu > li > a:hover,
.dropdown-menu > li > a:focus {
  text-decoration: none;
  color: #262626;
  background-color: #f5f5f5;
}
.dropdown-menu > .active > a,
.dropdown-menu > .active > a:hover,
.dropdown-menu > .active > a:focus {
  color: #fff;
  text-decoration: none;
  outline: 0;
  background-color: #337ab7;
}
.dropdown-menu > .disabled > a,
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  color: #777777;
}
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  text-decoration: none;
  background-color: transparent;
  background-image: none;
  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
  cursor: not-allowed;
}
.open > .dropdown-menu {
  display: block;
}
.open > a {
  outline: 0;
}
.dropdown-menu-right {
  left: auto;
  right: 0;
}
.dropdown-menu-left {
  left: 0;
  right: auto;
}
.dropdown-header {
  display: block;
  padding: 3px 20px;
  font-size: 12px;
  line-height: 1.42857143;
  color: #777777;
  white-space: nowrap;
}
.dropdown-backdrop {
  position: fixed;
  left: 0;
  right: 0;
  bottom: 0;
  top: 0;
  z-index: 990;
}
.pull-right > .dropdown-menu {
  right: 0;
  left: auto;
}
.dropup .caret,
.navbar-fixed-bottom .dropdown .caret {
  border-top: 0;
  border-bottom: 4px dashed;
  border-bottom: 4px solid \9;
  content: "";
}
.dropup .dropdown-menu,
.navbar-fixed-bottom .dropdown .dropdown-menu {
  top: auto;
  bottom: 100%;
  margin-bottom: 2px;
}
@media (min-width: 541px) {
  .navbar-right .dropdown-menu {
    left: auto;
    right: 0;
  }
  .navbar-right .dropdown-menu-left {
    left: 0;
    right: auto;
  }
}
.btn-group,
.btn-group-vertical {
  position: relative;
  display: inline-block;
  vertical-align: middle;
}
.btn-group > .btn,
.btn-group-vertical > .btn {
  position: relative;
  float: left;
}
.btn-group > .btn:hover,
.btn-group-vertical > .btn:hover,
.btn-group > .btn:focus,
.btn-group-vertical > .btn:focus,
.btn-group > .btn:active,
.btn-group-vertical > .btn:active,
.btn-group > .btn.active,
.btn-group-vertical > .btn.active {
  z-index: 2;
}
.btn-group .btn + .btn,
.btn-group .btn + .btn-group,
.btn-group .btn-group + .btn,
.btn-group .btn-group + .btn-group {
  margin-left: -1px;
}
.btn-toolbar {
  margin-left: -5px;
}
.btn-toolbar .btn,
.btn-toolbar .btn-group,
.btn-toolbar .input-group {
  float: left;
}
.btn-toolbar > .btn,
.btn-toolbar > .btn-group,
.btn-toolbar > .input-group {
  margin-left: 5px;
}
.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {
  border-radius: 0;
}
.btn-group > .btn:first-child {
  margin-left: 0;
}
.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn:last-child:not(:first-child),
.btn-group > .dropdown-toggle:not(:first-child) {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group > .btn-group {
  float: left;
}
.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group .dropdown-toggle:active,
.btn-group.open .dropdown-toggle {
  outline: 0;
}
.btn-group > .btn + .dropdown-toggle {
  padding-left: 8px;
  padding-right: 8px;
}
.btn-group > .btn-lg + .dropdown-toggle {
  padding-left: 12px;
  padding-right: 12px;
}
.btn-group.open .dropdown-toggle {
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn-group.open .dropdown-toggle.btn-link {
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn .caret {
  margin-left: 0;
}
.btn-lg .caret {
  border-width: 5px 5px 0;
  border-bottom-width: 0;
}
.dropup .btn-lg .caret {
  border-width: 0 5px 5px;
}
.btn-group-vertical > .btn,
.btn-group-vertical > .btn-group,
.btn-group-vertical > .btn-group > .btn {
  display: block;
  float: none;
  width: 100%;
  max-width: 100%;
}
.btn-group-vertical > .btn-group > .btn {
  float: none;
}
.btn-group-vertical > .btn + .btn,
.btn-group-vertical > .btn + .btn-group,
.btn-group-vertical > .btn-group + .btn,
.btn-group-vertical > .btn-group + .btn-group {
  margin-top: -1px;
  margin-left: 0;
}
.btn-group-vertical > .btn:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.btn-group-vertical > .btn:first-child:not(:last-child) {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn:last-child:not(:first-child) {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.btn-group-justified {
  display: table;
  width: 100%;
  table-layout: fixed;
  border-collapse: separate;
}
.btn-group-justified > .btn,
.btn-group-justified > .btn-group {
  float: none;
  display: table-cell;
  width: 1%;
}
.btn-group-justified > .btn-group .btn {
  width: 100%;
}
.btn-group-justified > .btn-group .dropdown-menu {
  left: auto;
}
[data-toggle="buttons"] > .btn input[type="radio"],
[data-toggle="buttons"] > .btn-group > .btn input[type="radio"],
[data-toggle="buttons"] > .btn input[type="checkbox"],
[data-toggle="buttons"] > .btn-group > .btn input[type="checkbox"] {
  position: absolute;
  clip: rect(0, 0, 0, 0);
  pointer-events: none;
}
.input-group {
  position: relative;
  display: table;
  border-collapse: separate;
}
.input-group[class*="col-"] {
  float: none;
  padding-left: 0;
  padding-right: 0;
}
.input-group .form-control {
  position: relative;
  z-index: 2;
  float: left;
  width: 100%;
  margin-bottom: 0;
}
.input-group .form-control:focus {
  z-index: 3;
}
.input-group-lg > .form-control,
.input-group-lg > .input-group-addon,
.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-group-lg > .form-control,
select.input-group-lg > .input-group-addon,
select.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  line-height: 45px;
}
textarea.input-group-lg > .form-control,
textarea.input-group-lg > .input-group-addon,
textarea.input-group-lg > .input-group-btn > .btn,
select[multiple].input-group-lg > .form-control,
select[multiple].input-group-lg > .input-group-addon,
select[multiple].input-group-lg > .input-group-btn > .btn {
  height: auto;
}
.input-group-sm > .form-control,
.input-group-sm > .input-group-addon,
.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-group-sm > .form-control,
select.input-group-sm > .input-group-addon,
select.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  line-height: 30px;
}
textarea.input-group-sm > .form-control,
textarea.input-group-sm > .input-group-addon,
textarea.input-group-sm > .input-group-btn > .btn,
select[multiple].input-group-sm > .form-control,
select[multiple].input-group-sm > .input-group-addon,
select[multiple].input-group-sm > .input-group-btn > .btn {
  height: auto;
}
.input-group-addon,
.input-group-btn,
.input-group .form-control {
  display: table-cell;
}
.input-group-addon:not(:first-child):not(:last-child),
.input-group-btn:not(:first-child):not(:last-child),
.input-group .form-control:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.input-group-addon,
.input-group-btn {
  width: 1%;
  white-space: nowrap;
  vertical-align: middle;
}
.input-group-addon {
  padding: 6px 12px;
  font-size: 13px;
  font-weight: normal;
  line-height: 1;
  color: #555555;
  text-align: center;
  background-color: #eeeeee;
  border: 1px solid #ccc;
  border-radius: 2px;
}
.input-group-addon.input-sm {
  padding: 5px 10px;
  font-size: 12px;
  border-radius: 1px;
}
.input-group-addon.input-lg {
  padding: 10px 16px;
  font-size: 17px;
  border-radius: 3px;
}
.input-group-addon input[type="radio"],
.input-group-addon input[type="checkbox"] {
  margin-top: 0;
}
.input-group .form-control:first-child,
.input-group-addon:first-child,
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group > .btn,
.input-group-btn:first-child > .dropdown-toggle,
.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),
.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.input-group-addon:first-child {
  border-right: 0;
}
.input-group .form-control:last-child,
.input-group-addon:last-child,
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group > .btn,
.input-group-btn:last-child > .dropdown-toggle,
.input-group-btn:first-child > .btn:not(:first-child),
.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.input-group-addon:last-child {
  border-left: 0;
}
.input-group-btn {
  position: relative;
  font-size: 0;
  white-space: nowrap;
}
.input-group-btn > .btn {
  position: relative;
}
.input-group-btn > .btn + .btn {
  margin-left: -1px;
}
.input-group-btn > .btn:hover,
.input-group-btn > .btn:focus,
.input-group-btn > .btn:active {
  z-index: 2;
}
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group {
  margin-right: -1px;
}
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group {
  z-index: 2;
  margin-left: -1px;
}
.nav {
  margin-bottom: 0;
  padding-left: 0;
  list-style: none;
}
.nav > li {
  position: relative;
  display: block;
}
.nav > li > a {
  position: relative;
  display: block;
  padding: 10px 15px;
}
.nav > li > a:hover,
.nav > li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.nav > li.disabled > a {
  color: #777777;
}
.nav > li.disabled > a:hover,
.nav > li.disabled > a:focus {
  color: #777777;
  text-decoration: none;
  background-color: transparent;
  cursor: not-allowed;
}
.nav .open > a,
.nav .open > a:hover,
.nav .open > a:focus {
  background-color: #eeeeee;
  border-color: #337ab7;
}
.nav .nav-divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.nav > li > a > img {
  max-width: none;
}
.nav-tabs {
  border-bottom: 1px solid #ddd;
}
.nav-tabs > li {
  float: left;
  margin-bottom: -1px;
}
.nav-tabs > li > a {
  margin-right: 2px;
  line-height: 1.42857143;
  border: 1px solid transparent;
  border-radius: 2px 2px 0 0;
}
.nav-tabs > li > a:hover {
  border-color: #eeeeee #eeeeee #ddd;
}
.nav-tabs > li.active > a,
.nav-tabs > li.active > a:hover,
.nav-tabs > li.active > a:focus {
  color: #555555;
  background-color: #fff;
  border: 1px solid #ddd;
  border-bottom-color: transparent;
  cursor: default;
}
.nav-tabs.nav-justified {
  width: 100%;
  border-bottom: 0;
}
.nav-tabs.nav-justified > li {
  float: none;
}
.nav-tabs.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-tabs.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-tabs.nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs.nav-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs.nav-justified > .active > a,
.nav-tabs.nav-justified > .active > a:hover,
.nav-tabs.nav-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs.nav-justified > .active > a,
  .nav-tabs.nav-justified > .active > a:hover,
  .nav-tabs.nav-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.nav-pills > li {
  float: left;
}
.nav-pills > li > a {
  border-radius: 2px;
}
.nav-pills > li + li {
  margin-left: 2px;
}
.nav-pills > li.active > a,
.nav-pills > li.active > a:hover,
.nav-pills > li.active > a:focus {
  color: #fff;
  background-color: #337ab7;
}
.nav-stacked > li {
  float: none;
}
.nav-stacked > li + li {
  margin-top: 2px;
  margin-left: 0;
}
.nav-justified {
  width: 100%;
}
.nav-justified > li {
  float: none;
}
.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs-justified {
  border-bottom: 0;
}
.nav-tabs-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs-justified > .active > a,
.nav-tabs-justified > .active > a:hover,
.nav-tabs-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs-justified > .active > a,
  .nav-tabs-justified > .active > a:hover,
  .nav-tabs-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.tab-content > .tab-pane {
  display: none;
}
.tab-content > .active {
  display: block;
}
.nav-tabs .dropdown-menu {
  margin-top: -1px;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar {
  position: relative;
  min-height: 30px;
  margin-bottom: 18px;
  border: 1px solid transparent;
}
@media (min-width: 541px) {
  .navbar {
    border-radius: 2px;
  }
}
@media (min-width: 541px) {
  .navbar-header {
    float: left;
  }
}
.navbar-collapse {
  overflow-x: visible;
  padding-right: 0px;
  padding-left: 0px;
  border-top: 1px solid transparent;
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);
  -webkit-overflow-scrolling: touch;
}
.navbar-collapse.in {
  overflow-y: auto;
}
@media (min-width: 541px) {
  .navbar-collapse {
    width: auto;
    border-top: 0;
    box-shadow: none;
  }
  .navbar-collapse.collapse {
    display: block !important;
    height: auto !important;
    padding-bottom: 0;
    overflow: visible !important;
  }
  .navbar-collapse.in {
    overflow-y: visible;
  }
  .navbar-fixed-top .navbar-collapse,
  .navbar-static-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    padding-left: 0;
    padding-right: 0;
  }
}
.navbar-fixed-top .navbar-collapse,
.navbar-fixed-bottom .navbar-collapse {
  max-height: 340px;
}
@media (max-device-width: 540px) and (orientation: landscape) {
  .navbar-fixed-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    max-height: 200px;
  }
}
.container > .navbar-header,
.container-fluid > .navbar-header,
.container > .navbar-collapse,
.container-fluid > .navbar-collapse {
  margin-right: 0px;
  margin-left: 0px;
}
@media (min-width: 541px) {
  .container > .navbar-header,
  .container-fluid > .navbar-header,
  .container > .navbar-collapse,
  .container-fluid > .navbar-collapse {
    margin-right: 0;
    margin-left: 0;
  }
}
.navbar-static-top {
  z-index: 1000;
  border-width: 0 0 1px;
}
@media (min-width: 541px) {
  .navbar-static-top {
    border-radius: 0;
  }
}
.navbar-fixed-top,
.navbar-fixed-bottom {
  position: fixed;
  right: 0;
  left: 0;
  z-index: 1030;
}
@media (min-width: 541px) {
  .navbar-fixed-top,
  .navbar-fixed-bottom {
    border-radius: 0;
  }
}
.navbar-fixed-top {
  top: 0;
  border-width: 0 0 1px;
}
.navbar-fixed-bottom {
  bottom: 0;
  margin-bottom: 0;
  border-width: 1px 0 0;
}
.navbar-brand {
  float: left;
  padding: 6px 0px;
  font-size: 17px;
  line-height: 18px;
  height: 30px;
}
.navbar-brand:hover,
.navbar-brand:focus {
  text-decoration: none;
}
.navbar-brand > img {
  display: block;
}
@media (min-width: 541px) {
  .navbar > .container .navbar-brand,
  .navbar > .container-fluid .navbar-brand {
    margin-left: 0px;
  }
}
.navbar-toggle {
  position: relative;
  float: right;
  margin-right: 0px;
  padding: 9px 10px;
  margin-top: -2px;
  margin-bottom: -2px;
  background-color: transparent;
  background-image: none;
  border: 1px solid transparent;
  border-radius: 2px;
}
.navbar-toggle:focus {
  outline: 0;
}
.navbar-toggle .icon-bar {
  display: block;
  width: 22px;
  height: 2px;
  border-radius: 1px;
}
.navbar-toggle .icon-bar + .icon-bar {
  margin-top: 4px;
}
@media (min-width: 541px) {
  .navbar-toggle {
    display: none;
  }
}
.navbar-nav {
  margin: 3px 0px;
}
.navbar-nav > li > a {
  padding-top: 10px;
  padding-bottom: 10px;
  line-height: 18px;
}
@media (max-width: 540px) {
  .navbar-nav .open .dropdown-menu {
    position: static;
    float: none;
    width: auto;
    margin-top: 0;
    background-color: transparent;
    border: 0;
    box-shadow: none;
  }
  .navbar-nav .open .dropdown-menu > li > a,
  .navbar-nav .open .dropdown-menu .dropdown-header {
    padding: 5px 15px 5px 25px;
  }
  .navbar-nav .open .dropdown-menu > li > a {
    line-height: 18px;
  }
  .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-nav .open .dropdown-menu > li > a:focus {
    background-image: none;
  }
}
@media (min-width: 541px) {
  .navbar-nav {
    float: left;
    margin: 0;
  }
  .navbar-nav > li {
    float: left;
  }
  .navbar-nav > li > a {
    padding-top: 6px;
    padding-bottom: 6px;
  }
}
.navbar-form {
  margin-left: 0px;
  margin-right: 0px;
  padding: 10px 0px;
  border-top: 1px solid transparent;
  border-bottom: 1px solid transparent;
  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  margin-top: -1px;
  margin-bottom: -1px;
}
@media (min-width: 768px) {
  .navbar-form .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .navbar-form .form-control-static {
    display: inline-block;
  }
  .navbar-form .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .navbar-form .input-group .input-group-addon,
  .navbar-form .input-group .input-group-btn,
  .navbar-form .input-group .form-control {
    width: auto;
  }
  .navbar-form .input-group > .form-control {
    width: 100%;
  }
  .navbar-form .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio,
  .navbar-form .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio label,
  .navbar-form .checkbox label {
    padding-left: 0;
  }
  .navbar-form .radio input[type="radio"],
  .navbar-form .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .navbar-form .has-feedback .form-control-feedback {
    top: 0;
  }
}
@media (max-width: 540px) {
  .navbar-form .form-group {
    margin-bottom: 5px;
  }
  .navbar-form .form-group:last-child {
    margin-bottom: 0;
  }
}
@media (min-width: 541px) {
  .navbar-form {
    width: auto;
    border: 0;
    margin-left: 0;
    margin-right: 0;
    padding-top: 0;
    padding-bottom: 0;
    -webkit-box-shadow: none;
    box-shadow: none;
  }
}
.navbar-nav > li > .dropdown-menu {
  margin-top: 0;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
  margin-bottom: 0;
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.navbar-btn {
  margin-top: -1px;
  margin-bottom: -1px;
}
.navbar-btn.btn-sm {
  margin-top: 0px;
  margin-bottom: 0px;
}
.navbar-btn.btn-xs {
  margin-top: 4px;
  margin-bottom: 4px;
}
.navbar-text {
  margin-top: 6px;
  margin-bottom: 6px;
}
@media (min-width: 541px) {
  .navbar-text {
    float: left;
    margin-left: 0px;
    margin-right: 0px;
  }
}
@media (min-width: 541px) {
  .navbar-left {
    float: left !important;
    float: left;
  }
  .navbar-right {
    float: right !important;
    float: right;
    margin-right: 0px;
  }
  .navbar-right ~ .navbar-right {
    margin-right: 0;
  }
}
.navbar-default {
  background-color: #f8f8f8;
  border-color: #e7e7e7;
}
.navbar-default .navbar-brand {
  color: #777;
}
.navbar-default .navbar-brand:hover,
.navbar-default .navbar-brand:focus {
  color: #5e5e5e;
  background-color: transparent;
}
.navbar-default .navbar-text {
  color: #777;
}
.navbar-default .navbar-nav > li > a {
  color: #777;
}
.navbar-default .navbar-nav > li > a:hover,
.navbar-default .navbar-nav > li > a:focus {
  color: #333;
  background-color: transparent;
}
.navbar-default .navbar-nav > .active > a,
.navbar-default .navbar-nav > .active > a:hover,
.navbar-default .navbar-nav > .active > a:focus {
  color: #555;
  background-color: #e7e7e7;
}
.navbar-default .navbar-nav > .disabled > a,
.navbar-default .navbar-nav > .disabled > a:hover,
.navbar-default .navbar-nav > .disabled > a:focus {
  color: #ccc;
  background-color: transparent;
}
.navbar-default .navbar-toggle {
  border-color: #ddd;
}
.navbar-default .navbar-toggle:hover,
.navbar-default .navbar-toggle:focus {
  background-color: #ddd;
}
.navbar-default .navbar-toggle .icon-bar {
  background-color: #888;
}
.navbar-default .navbar-collapse,
.navbar-default .navbar-form {
  border-color: #e7e7e7;
}
.navbar-default .navbar-nav > .open > a,
.navbar-default .navbar-nav > .open > a:hover,
.navbar-default .navbar-nav > .open > a:focus {
  background-color: #e7e7e7;
  color: #555;
}
@media (max-width: 540px) {
  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
    color: #777;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #333;
    background-color: transparent;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #555;
    background-color: #e7e7e7;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #ccc;
    background-color: transparent;
  }
}
.navbar-default .navbar-link {
  color: #777;
}
.navbar-default .navbar-link:hover {
  color: #333;
}
.navbar-default .btn-link {
  color: #777;
}
.navbar-default .btn-link:hover,
.navbar-default .btn-link:focus {
  color: #333;
}
.navbar-default .btn-link[disabled]:hover,
fieldset[disabled] .navbar-default .btn-link:hover,
.navbar-default .btn-link[disabled]:focus,
fieldset[disabled] .navbar-default .btn-link:focus {
  color: #ccc;
}
.navbar-inverse {
  background-color: #222;
  border-color: #080808;
}
.navbar-inverse .navbar-brand {
  color: #9d9d9d;
}
.navbar-inverse .navbar-brand:hover,
.navbar-inverse .navbar-brand:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-text {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a:hover,
.navbar-inverse .navbar-nav > li > a:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-nav > .active > a,
.navbar-inverse .navbar-nav > .active > a:hover,
.navbar-inverse .navbar-nav > .active > a:focus {
  color: #fff;
  background-color: #080808;
}
.navbar-inverse .navbar-nav > .disabled > a,
.navbar-inverse .navbar-nav > .disabled > a:hover,
.navbar-inverse .navbar-nav > .disabled > a:focus {
  color: #444;
  background-color: transparent;
}
.navbar-inverse .navbar-toggle {
  border-color: #333;
}
.navbar-inverse .navbar-toggle:hover,
.navbar-inverse .navbar-toggle:focus {
  background-color: #333;
}
.navbar-inverse .navbar-toggle .icon-bar {
  background-color: #fff;
}
.navbar-inverse .navbar-collapse,
.navbar-inverse .navbar-form {
  border-color: #101010;
}
.navbar-inverse .navbar-nav > .open > a,
.navbar-inverse .navbar-nav > .open > a:hover,
.navbar-inverse .navbar-nav > .open > a:focus {
  background-color: #080808;
  color: #fff;
}
@media (max-width: 540px) {
  .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {
    border-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu .divider {
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a {
    color: #9d9d9d;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #fff;
    background-color: transparent;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #fff;
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #444;
    background-color: transparent;
  }
}
.navbar-inverse .navbar-link {
  color: #9d9d9d;
}
.navbar-inverse .navbar-link:hover {
  color: #fff;
}
.navbar-inverse .btn-link {
  color: #9d9d9d;
}
.navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link:focus {
  color: #fff;
}
.navbar-inverse .btn-link[disabled]:hover,
fieldset[disabled] .navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link[disabled]:focus,
fieldset[disabled] .navbar-inverse .btn-link:focus {
  color: #444;
}
.breadcrumb {
  padding: 8px 15px;
  margin-bottom: 18px;
  list-style: none;
  background-color: #f5f5f5;
  border-radius: 2px;
}
.breadcrumb > li {
  display: inline-block;
}
.breadcrumb > li + li:before {
  content: "/\00a0";
  padding: 0 5px;
  color: #5e5e5e;
}
.breadcrumb > .active {
  color: #777777;
}
.pagination {
  display: inline-block;
  padding-left: 0;
  margin: 18px 0;
  border-radius: 2px;
}
.pagination > li {
  display: inline;
}
.pagination > li > a,
.pagination > li > span {
  position: relative;
  float: left;
  padding: 6px 12px;
  line-height: 1.42857143;
  text-decoration: none;
  color: #337ab7;
  background-color: #fff;
  border: 1px solid #ddd;
  margin-left: -1px;
}
.pagination > li:first-child > a,
.pagination > li:first-child > span {
  margin-left: 0;
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.pagination > li:last-child > a,
.pagination > li:last-child > span {
  border-bottom-right-radius: 2px;
  border-top-right-radius: 2px;
}
.pagination > li > a:hover,
.pagination > li > span:hover,
.pagination > li > a:focus,
.pagination > li > span:focus {
  z-index: 2;
  color: #23527c;
  background-color: #eeeeee;
  border-color: #ddd;
}
.pagination > .active > a,
.pagination > .active > span,
.pagination > .active > a:hover,
.pagination > .active > span:hover,
.pagination > .active > a:focus,
.pagination > .active > span:focus {
  z-index: 3;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
  cursor: default;
}
.pagination > .disabled > span,
.pagination > .disabled > span:hover,
.pagination > .disabled > span:focus,
.pagination > .disabled > a,
.pagination > .disabled > a:hover,
.pagination > .disabled > a:focus {
  color: #777777;
  background-color: #fff;
  border-color: #ddd;
  cursor: not-allowed;
}
.pagination-lg > li > a,
.pagination-lg > li > span {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.pagination-lg > li:first-child > a,
.pagination-lg > li:first-child > span {
  border-bottom-left-radius: 3px;
  border-top-left-radius: 3px;
}
.pagination-lg > li:last-child > a,
.pagination-lg > li:last-child > span {
  border-bottom-right-radius: 3px;
  border-top-right-radius: 3px;
}
.pagination-sm > li > a,
.pagination-sm > li > span {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.pagination-sm > li:first-child > a,
.pagination-sm > li:first-child > span {
  border-bottom-left-radius: 1px;
  border-top-left-radius: 1px;
}
.pagination-sm > li:last-child > a,
.pagination-sm > li:last-child > span {
  border-bottom-right-radius: 1px;
  border-top-right-radius: 1px;
}
.pager {
  padding-left: 0;
  margin: 18px 0;
  list-style: none;
  text-align: center;
}
.pager li {
  display: inline;
}
.pager li > a,
.pager li > span {
  display: inline-block;
  padding: 5px 14px;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 15px;
}
.pager li > a:hover,
.pager li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.pager .next > a,
.pager .next > span {
  float: right;
}
.pager .previous > a,
.pager .previous > span {
  float: left;
}
.pager .disabled > a,
.pager .disabled > a:hover,
.pager .disabled > a:focus,
.pager .disabled > span {
  color: #777777;
  background-color: #fff;
  cursor: not-allowed;
}
.label {
  display: inline;
  padding: .2em .6em .3em;
  font-size: 75%;
  font-weight: bold;
  line-height: 1;
  color: #fff;
  text-align: center;
  white-space: nowrap;
  vertical-align: baseline;
  border-radius: .25em;
}
a.label:hover,
a.label:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.label:empty {
  display: none;
}
.btn .label {
  position: relative;
  top: -1px;
}
.label-default {
  background-color: #777777;
}
.label-default[href]:hover,
.label-default[href]:focus {
  background-color: #5e5e5e;
}
.label-primary {
  background-color: #337ab7;
}
.label-primary[href]:hover,
.label-primary[href]:focus {
  background-color: #286090;
}
.label-success {
  background-color: #5cb85c;
}
.label-success[href]:hover,
.label-success[href]:focus {
  background-color: #449d44;
}
.label-info {
  background-color: #5bc0de;
}
.label-info[href]:hover,
.label-info[href]:focus {
  background-color: #31b0d5;
}
.label-warning {
  background-color: #f0ad4e;
}
.label-warning[href]:hover,
.label-warning[href]:focus {
  background-color: #ec971f;
}
.label-danger {
  background-color: #d9534f;
}
.label-danger[href]:hover,
.label-danger[href]:focus {
  background-color: #c9302c;
}
.badge {
  display: inline-block;
  min-width: 10px;
  padding: 3px 7px;
  font-size: 12px;
  font-weight: bold;
  color: #fff;
  line-height: 1;
  vertical-align: middle;
  white-space: nowrap;
  text-align: center;
  background-color: #777777;
  border-radius: 10px;
}
.badge:empty {
  display: none;
}
.btn .badge {
  position: relative;
  top: -1px;
}
.btn-xs .badge,
.btn-group-xs > .btn .badge {
  top: 0;
  padding: 1px 5px;
}
a.badge:hover,
a.badge:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.list-group-item.active > .badge,
.nav-pills > .active > a > .badge {
  color: #337ab7;
  background-color: #fff;
}
.list-group-item > .badge {
  float: right;
}
.list-group-item > .badge + .badge {
  margin-right: 5px;
}
.nav-pills > li > a > .badge {
  margin-left: 3px;
}
.jumbotron {
  padding-top: 30px;
  padding-bottom: 30px;
  margin-bottom: 30px;
  color: inherit;
  background-color: #eeeeee;
}
.jumbotron h1,
.jumbotron .h1 {
  color: inherit;
}
.jumbotron p {
  margin-bottom: 15px;
  font-size: 20px;
  font-weight: 200;
}
.jumbotron > hr {
  border-top-color: #d5d5d5;
}
.container .jumbotron,
.container-fluid .jumbotron {
  border-radius: 3px;
  padding-left: 0px;
  padding-right: 0px;
}
.jumbotron .container {
  max-width: 100%;
}
@media screen and (min-width: 768px) {
  .jumbotron {
    padding-top: 48px;
    padding-bottom: 48px;
  }
  .container .jumbotron,
  .container-fluid .jumbotron {
    padding-left: 60px;
    padding-right: 60px;
  }
  .jumbotron h1,
  .jumbotron .h1 {
    font-size: 59px;
  }
}
.thumbnail {
  display: block;
  padding: 4px;
  margin-bottom: 18px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: border 0.2s ease-in-out;
  -o-transition: border 0.2s ease-in-out;
  transition: border 0.2s ease-in-out;
}
.thumbnail > img,
.thumbnail a > img {
  margin-left: auto;
  margin-right: auto;
}
a.thumbnail:hover,
a.thumbnail:focus,
a.thumbnail.active {
  border-color: #337ab7;
}
.thumbnail .caption {
  padding: 9px;
  color: #000;
}
.alert {
  padding: 15px;
  margin-bottom: 18px;
  border: 1px solid transparent;
  border-radius: 2px;
}
.alert h4 {
  margin-top: 0;
  color: inherit;
}
.alert .alert-link {
  font-weight: bold;
}
.alert > p,
.alert > ul {
  margin-bottom: 0;
}
.alert > p + p {
  margin-top: 5px;
}
.alert-dismissable,
.alert-dismissible {
  padding-right: 35px;
}
.alert-dismissable .close,
.alert-dismissible .close {
  position: relative;
  top: -2px;
  right: -21px;
  color: inherit;
}
.alert-success {
  background-color: #dff0d8;
  border-color: #d6e9c6;
  color: #3c763d;
}
.alert-success hr {
  border-top-color: #c9e2b3;
}
.alert-success .alert-link {
  color: #2b542c;
}
.alert-info {
  background-color: #d9edf7;
  border-color: #bce8f1;
  color: #31708f;
}
.alert-info hr {
  border-top-color: #a6e1ec;
}
.alert-info .alert-link {
  color: #245269;
}
.alert-warning {
  background-color: #fcf8e3;
  border-color: #faebcc;
  color: #8a6d3b;
}
.alert-warning hr {
  border-top-color: #f7e1b5;
}
.alert-warning .alert-link {
  color: #66512c;
}
.alert-danger {
  background-color: #f2dede;
  border-color: #ebccd1;
  color: #a94442;
}
.alert-danger hr {
  border-top-color: #e4b9c0;
}
.alert-danger .alert-link {
  color: #843534;
}
@-webkit-keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
@keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
.progress {
  overflow: hidden;
  height: 18px;
  margin-bottom: 18px;
  background-color: #f5f5f5;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
  box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
}
.progress-bar {
  float: left;
  width: 0%;
  height: 100%;
  font-size: 12px;
  line-height: 18px;
  color: #fff;
  text-align: center;
  background-color: #337ab7;
  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  -webkit-transition: width 0.6s ease;
  -o-transition: width 0.6s ease;
  transition: width 0.6s ease;
}
.progress-striped .progress-bar,
.progress-bar-striped {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-size: 40px 40px;
}
.progress.active .progress-bar,
.progress-bar.active {
  -webkit-animation: progress-bar-stripes 2s linear infinite;
  -o-animation: progress-bar-stripes 2s linear infinite;
  animation: progress-bar-stripes 2s linear infinite;
}
.progress-bar-success {
  background-color: #5cb85c;
}
.progress-striped .progress-bar-success {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-info {
  background-color: #5bc0de;
}
.progress-striped .progress-bar-info {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-warning {
  background-color: #f0ad4e;
}
.progress-striped .progress-bar-warning {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-danger {
  background-color: #d9534f;
}
.progress-striped .progress-bar-danger {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.media {
  margin-top: 15px;
}
.media:first-child {
  margin-top: 0;
}
.media,
.media-body {
  zoom: 1;
  overflow: hidden;
}
.media-body {
  width: 10000px;
}
.media-object {
  display: block;
}
.media-object.img-thumbnail {
  max-width: none;
}
.media-right,
.media > .pull-right {
  padding-left: 10px;
}
.media-left,
.media > .pull-left {
  padding-right: 10px;
}
.media-left,
.media-right,
.media-body {
  display: table-cell;
  vertical-align: top;
}
.media-middle {
  vertical-align: middle;
}
.media-bottom {
  vertical-align: bottom;
}
.media-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.media-list {
  padding-left: 0;
  list-style: none;
}
.list-group {
  margin-bottom: 20px;
  padding-left: 0;
}
.list-group-item {
  position: relative;
  display: block;
  padding: 10px 15px;
  margin-bottom: -1px;
  background-color: #fff;
  border: 1px solid #ddd;
}
.list-group-item:first-child {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
}
.list-group-item:last-child {
  margin-bottom: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
a.list-group-item,
button.list-group-item {
  color: #555;
}
a.list-group-item .list-group-item-heading,
button.list-group-item .list-group-item-heading {
  color: #333;
}
a.list-group-item:hover,
button.list-group-item:hover,
a.list-group-item:focus,
button.list-group-item:focus {
  text-decoration: none;
  color: #555;
  background-color: #f5f5f5;
}
button.list-group-item {
  width: 100%;
  text-align: left;
}
.list-group-item.disabled,
.list-group-item.disabled:hover,
.list-group-item.disabled:focus {
  background-color: #eeeeee;
  color: #777777;
  cursor: not-allowed;
}
.list-group-item.disabled .list-group-item-heading,
.list-group-item.disabled:hover .list-group-item-heading,
.list-group-item.disabled:focus .list-group-item-heading {
  color: inherit;
}
.list-group-item.disabled .list-group-item-text,
.list-group-item.disabled:hover .list-group-item-text,
.list-group-item.disabled:focus .list-group-item-text {
  color: #777777;
}
.list-group-item.active,
.list-group-item.active:hover,
.list-group-item.active:focus {
  z-index: 2;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.list-group-item.active .list-group-item-heading,
.list-group-item.active:hover .list-group-item-heading,
.list-group-item.active:focus .list-group-item-heading,
.list-group-item.active .list-group-item-heading > small,
.list-group-item.active:hover .list-group-item-heading > small,
.list-group-item.active:focus .list-group-item-heading > small,
.list-group-item.active .list-group-item-heading > .small,
.list-group-item.active:hover .list-group-item-heading > .small,
.list-group-item.active:focus .list-group-item-heading > .small {
  color: inherit;
}
.list-group-item.active .list-group-item-text,
.list-group-item.active:hover .list-group-item-text,
.list-group-item.active:focus .list-group-item-text {
  color: #c7ddef;
}
.list-group-item-success {
  color: #3c763d;
  background-color: #dff0d8;
}
a.list-group-item-success,
button.list-group-item-success {
  color: #3c763d;
}
a.list-group-item-success .list-group-item-heading,
button.list-group-item-success .list-group-item-heading {
  color: inherit;
}
a.list-group-item-success:hover,
button.list-group-item-success:hover,
a.list-group-item-success:focus,
button.list-group-item-success:focus {
  color: #3c763d;
  background-color: #d0e9c6;
}
a.list-group-item-success.active,
button.list-group-item-success.active,
a.list-group-item-success.active:hover,
button.list-group-item-success.active:hover,
a.list-group-item-success.active:focus,
button.list-group-item-success.active:focus {
  color: #fff;
  background-color: #3c763d;
  border-color: #3c763d;
}
.list-group-item-info {
  color: #31708f;
  background-color: #d9edf7;
}
a.list-group-item-info,
button.list-group-item-info {
  color: #31708f;
}
a.list-group-item-info .list-group-item-heading,
button.list-group-item-info .list-group-item-heading {
  color: inherit;
}
a.list-group-item-info:hover,
button.list-group-item-info:hover,
a.list-group-item-info:focus,
button.list-group-item-info:focus {
  color: #31708f;
  background-color: #c4e3f3;
}
a.list-group-item-info.active,
button.list-group-item-info.active,
a.list-group-item-info.active:hover,
button.list-group-item-info.active:hover,
a.list-group-item-info.active:focus,
button.list-group-item-info.active:focus {
  color: #fff;
  background-color: #31708f;
  border-color: #31708f;
}
.list-group-item-warning {
  color: #8a6d3b;
  background-color: #fcf8e3;
}
a.list-group-item-warning,
button.list-group-item-warning {
  color: #8a6d3b;
}
a.list-group-item-warning .list-group-item-heading,
button.list-group-item-warning .list-group-item-heading {
  color: inherit;
}
a.list-group-item-warning:hover,
button.list-group-item-warning:hover,
a.list-group-item-warning:focus,
button.list-group-item-warning:focus {
  color: #8a6d3b;
  background-color: #faf2cc;
}
a.list-group-item-warning.active,
button.list-group-item-warning.active,
a.list-group-item-warning.active:hover,
button.list-group-item-warning.active:hover,
a.list-group-item-warning.active:focus,
button.list-group-item-warning.active:focus {
  color: #fff;
  background-color: #8a6d3b;
  border-color: #8a6d3b;
}
.list-group-item-danger {
  color: #a94442;
  background-color: #f2dede;
}
a.list-group-item-danger,
button.list-group-item-danger {
  color: #a94442;
}
a.list-group-item-danger .list-group-item-heading,
button.list-group-item-danger .list-group-item-heading {
  color: inherit;
}
a.list-group-item-danger:hover,
button.list-group-item-danger:hover,
a.list-group-item-danger:focus,
button.list-group-item-danger:focus {
  color: #a94442;
  background-color: #ebcccc;
}
a.list-group-item-danger.active,
button.list-group-item-danger.active,
a.list-group-item-danger.active:hover,
button.list-group-item-danger.active:hover,
a.list-group-item-danger.active:focus,
button.list-group-item-danger.active:focus {
  color: #fff;
  background-color: #a94442;
  border-color: #a94442;
}
.list-group-item-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.list-group-item-text {
  margin-bottom: 0;
  line-height: 1.3;
}
.panel {
  margin-bottom: 18px;
  background-color: #fff;
  border: 1px solid transparent;
  border-radius: 2px;
  -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
}
.panel-body {
  padding: 15px;
}
.panel-heading {
  padding: 10px 15px;
  border-bottom: 1px solid transparent;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel-heading > .dropdown .dropdown-toggle {
  color: inherit;
}
.panel-title {
  margin-top: 0;
  margin-bottom: 0;
  font-size: 15px;
  color: inherit;
}
.panel-title > a,
.panel-title > small,
.panel-title > .small,
.panel-title > small > a,
.panel-title > .small > a {
  color: inherit;
}
.panel-footer {
  padding: 10px 15px;
  background-color: #f5f5f5;
  border-top: 1px solid #ddd;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .list-group,
.panel > .panel-collapse > .list-group {
  margin-bottom: 0;
}
.panel > .list-group .list-group-item,
.panel > .panel-collapse > .list-group .list-group-item {
  border-width: 1px 0;
  border-radius: 0;
}
.panel > .list-group:first-child .list-group-item:first-child,
.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {
  border-top: 0;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .list-group:last-child .list-group-item:last-child,
.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {
  border-bottom: 0;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.panel-heading + .list-group .list-group-item:first-child {
  border-top-width: 0;
}
.list-group + .panel-footer {
  border-top-width: 0;
}
.panel > .table,
.panel > .table-responsive > .table,
.panel > .panel-collapse > .table {
  margin-bottom: 0;
}
.panel > .table caption,
.panel > .table-responsive > .table caption,
.panel > .panel-collapse > .table caption {
  padding-left: 15px;
  padding-right: 15px;
}
.panel > .table:first-child,
.panel > .table-responsive:first-child > .table:first-child {
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {
  border-top-left-radius: 1px;
  border-top-right-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {
  border-top-right-radius: 1px;
}
.panel > .table:last-child,
.panel > .table-responsive:last-child > .table:last-child {
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {
  border-bottom-left-radius: 1px;
  border-bottom-right-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {
  border-bottom-right-radius: 1px;
}
.panel > .panel-body + .table,
.panel > .panel-body + .table-responsive,
.panel > .table + .panel-body,
.panel > .table-responsive + .panel-body {
  border-top: 1px solid #ddd;
}
.panel > .table > tbody:first-child > tr:first-child th,
.panel > .table > tbody:first-child > tr:first-child td {
  border-top: 0;
}
.panel > .table-bordered,
.panel > .table-responsive > .table-bordered {
  border: 0;
}
.panel > .table-bordered > thead > tr > th:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,
.panel > .table-bordered > tbody > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,
.panel > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-bordered > thead > tr > td:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,
.panel > .table-bordered > tbody > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,
.panel > .table-bordered > tfoot > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {
  border-left: 0;
}
.panel > .table-bordered > thead > tr > th:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,
.panel > .table-bordered > tbody > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,
.panel > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-bordered > thead > tr > td:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,
.panel > .table-bordered > tbody > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,
.panel > .table-bordered > tfoot > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {
  border-right: 0;
}
.panel > .table-bordered > thead > tr:first-child > td,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,
.panel > .table-bordered > tbody > tr:first-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,
.panel > .table-bordered > thead > tr:first-child > th,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,
.panel > .table-bordered > tbody > tr:first-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {
  border-bottom: 0;
}
.panel > .table-bordered > tbody > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,
.panel > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-bordered > tbody > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,
.panel > .table-bordered > tfoot > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {
  border-bottom: 0;
}
.panel > .table-responsive {
  border: 0;
  margin-bottom: 0;
}
.panel-group {
  margin-bottom: 18px;
}
.panel-group .panel {
  margin-bottom: 0;
  border-radius: 2px;
}
.panel-group .panel + .panel {
  margin-top: 5px;
}
.panel-group .panel-heading {
  border-bottom: 0;
}
.panel-group .panel-heading + .panel-collapse > .panel-body,
.panel-group .panel-heading + .panel-collapse > .list-group {
  border-top: 1px solid #ddd;
}
.panel-group .panel-footer {
  border-top: 0;
}
.panel-group .panel-footer + .panel-collapse .panel-body {
  border-bottom: 1px solid #ddd;
}
.panel-default {
  border-color: #ddd;
}
.panel-default > .panel-heading {
  color: #333333;
  background-color: #f5f5f5;
  border-color: #ddd;
}
.panel-default > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ddd;
}
.panel-default > .panel-heading .badge {
  color: #f5f5f5;
  background-color: #333333;
}
.panel-default > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ddd;
}
.panel-primary {
  border-color: #337ab7;
}
.panel-primary > .panel-heading {
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.panel-primary > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #337ab7;
}
.panel-primary > .panel-heading .badge {
  color: #337ab7;
  background-color: #fff;
}
.panel-primary > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #337ab7;
}
.panel-success {
  border-color: #d6e9c6;
}
.panel-success > .panel-heading {
  color: #3c763d;
  background-color: #dff0d8;
  border-color: #d6e9c6;
}
.panel-success > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #d6e9c6;
}
.panel-success > .panel-heading .badge {
  color: #dff0d8;
  background-color: #3c763d;
}
.panel-success > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #d6e9c6;
}
.panel-info {
  border-color: #bce8f1;
}
.panel-info > .panel-heading {
  color: #31708f;
  background-color: #d9edf7;
  border-color: #bce8f1;
}
.panel-info > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #bce8f1;
}
.panel-info > .panel-heading .badge {
  color: #d9edf7;
  background-color: #31708f;
}
.panel-info > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #bce8f1;
}
.panel-warning {
  border-color: #faebcc;
}
.panel-warning > .panel-heading {
  color: #8a6d3b;
  background-color: #fcf8e3;
  border-color: #faebcc;
}
.panel-warning > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #faebcc;
}
.panel-warning > .panel-heading .badge {
  color: #fcf8e3;
  background-color: #8a6d3b;
}
.panel-warning > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #faebcc;
}
.panel-danger {
  border-color: #ebccd1;
}
.panel-danger > .panel-heading {
  color: #a94442;
  background-color: #f2dede;
  border-color: #ebccd1;
}
.panel-danger > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ebccd1;
}
.panel-danger > .panel-heading .badge {
  color: #f2dede;
  background-color: #a94442;
}
.panel-danger > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ebccd1;
}
.embed-responsive {
  position: relative;
  display: block;
  height: 0;
  padding: 0;
  overflow: hidden;
}
.embed-responsive .embed-responsive-item,
.embed-responsive iframe,
.embed-responsive embed,
.embed-responsive object,
.embed-responsive video {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  height: 100%;
  width: 100%;
  border: 0;
}
.embed-responsive-16by9 {
  padding-bottom: 56.25%;
}
.embed-responsive-4by3 {
  padding-bottom: 75%;
}
.well {
  min-height: 20px;
  padding: 19px;
  margin-bottom: 20px;
  background-color: #f5f5f5;
  border: 1px solid #e3e3e3;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
}
.well blockquote {
  border-color: #ddd;
  border-color: rgba(0, 0, 0, 0.15);
}
.well-lg {
  padding: 24px;
  border-radius: 3px;
}
.well-sm {
  padding: 9px;
  border-radius: 1px;
}
.close {
  float: right;
  font-size: 19.5px;
  font-weight: bold;
  line-height: 1;
  color: #000;
  text-shadow: 0 1px 0 #fff;
  opacity: 0.2;
  filter: alpha(opacity=20);
}
.close:hover,
.close:focus {
  color: #000;
  text-decoration: none;
  cursor: pointer;
  opacity: 0.5;
  filter: alpha(opacity=50);
}
button.close {
  padding: 0;
  cursor: pointer;
  background: transparent;
  border: 0;
  -webkit-appearance: none;
}
.modal-open {
  overflow: hidden;
}
.modal {
  display: none;
  overflow: hidden;
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1050;
  -webkit-overflow-scrolling: touch;
  outline: 0;
}
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, -25%);
  -ms-transform: translate(0, -25%);
  -o-transform: translate(0, -25%);
  transform: translate(0, -25%);
  -webkit-transition: -webkit-transform 0.3s ease-out;
  -moz-transition: -moz-transform 0.3s ease-out;
  -o-transition: -o-transform 0.3s ease-out;
  transition: transform 0.3s ease-out;
}
.modal.in .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
.modal-open .modal {
  overflow-x: hidden;
  overflow-y: auto;
}
.modal-dialog {
  position: relative;
  width: auto;
  margin: 10px;
}
.modal-content {
  position: relative;
  background-color: #fff;
  border: 1px solid #999;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  background-clip: padding-box;
  outline: 0;
}
.modal-backdrop {
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1040;
  background-color: #000;
}
.modal-backdrop.fade {
  opacity: 0;
  filter: alpha(opacity=0);
}
.modal-backdrop.in {
  opacity: 0.5;
  filter: alpha(opacity=50);
}
.modal-header {
  padding: 15px;
  border-bottom: 1px solid #e5e5e5;
}
.modal-header .close {
  margin-top: -2px;
}
.modal-title {
  margin: 0;
  line-height: 1.42857143;
}
.modal-body {
  position: relative;
  padding: 15px;
}
.modal-footer {
  padding: 15px;
  text-align: right;
  border-top: 1px solid #e5e5e5;
}
.modal-footer .btn + .btn {
  margin-left: 5px;
  margin-bottom: 0;
}
.modal-footer .btn-group .btn + .btn {
  margin-left: -1px;
}
.modal-footer .btn-block + .btn-block {
  margin-left: 0;
}
.modal-scrollbar-measure {
  position: absolute;
  top: -9999px;
  width: 50px;
  height: 50px;
  overflow: scroll;
}
@media (min-width: 768px) {
  .modal-dialog {
    width: 600px;
    margin: 30px auto;
  }
  .modal-content {
    -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
  }
  .modal-sm {
    width: 300px;
  }
}
@media (min-width: 992px) {
  .modal-lg {
    width: 900px;
  }
}
.tooltip {
  position: absolute;
  z-index: 1070;
  display: block;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 12px;
  opacity: 0;
  filter: alpha(opacity=0);
}
.tooltip.in {
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.tooltip.top {
  margin-top: -3px;
  padding: 5px 0;
}
.tooltip.right {
  margin-left: 3px;
  padding: 0 5px;
}
.tooltip.bottom {
  margin-top: 3px;
  padding: 5px 0;
}
.tooltip.left {
  margin-left: -3px;
  padding: 0 5px;
}
.tooltip-inner {
  max-width: 200px;
  padding: 3px 8px;
  color: #fff;
  text-align: center;
  background-color: #000;
  border-radius: 2px;
}
.tooltip-arrow {
  position: absolute;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.tooltip.top .tooltip-arrow {
  bottom: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-left .tooltip-arrow {
  bottom: 0;
  right: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-right .tooltip-arrow {
  bottom: 0;
  left: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.right .tooltip-arrow {
  top: 50%;
  left: 0;
  margin-top: -5px;
  border-width: 5px 5px 5px 0;
  border-right-color: #000;
}
.tooltip.left .tooltip-arrow {
  top: 50%;
  right: 0;
  margin-top: -5px;
  border-width: 5px 0 5px 5px;
  border-left-color: #000;
}
.tooltip.bottom .tooltip-arrow {
  top: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-left .tooltip-arrow {
  top: 0;
  right: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-right .tooltip-arrow {
  top: 0;
  left: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.popover {
  position: absolute;
  top: 0;
  left: 0;
  z-index: 1060;
  display: none;
  max-width: 276px;
  padding: 1px;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 13px;
  background-color: #fff;
  background-clip: padding-box;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
  box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
}
.popover.top {
  margin-top: -10px;
}
.popover.right {
  margin-left: 10px;
}
.popover.bottom {
  margin-top: 10px;
}
.popover.left {
  margin-left: -10px;
}
.popover-title {
  margin: 0;
  padding: 8px 14px;
  font-size: 13px;
  background-color: #f7f7f7;
  border-bottom: 1px solid #ebebeb;
  border-radius: 2px 2px 0 0;
}
.popover-content {
  padding: 9px 14px;
}
.popover > .arrow,
.popover > .arrow:after {
  position: absolute;
  display: block;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.popover > .arrow {
  border-width: 11px;
}
.popover > .arrow:after {
  border-width: 10px;
  content: "";
}
.popover.top > .arrow {
  left: 50%;
  margin-left: -11px;
  border-bottom-width: 0;
  border-top-color: #999999;
  border-top-color: rgba(0, 0, 0, 0.25);
  bottom: -11px;
}
.popover.top > .arrow:after {
  content: " ";
  bottom: 1px;
  margin-left: -10px;
  border-bottom-width: 0;
  border-top-color: #fff;
}
.popover.right > .arrow {
  top: 50%;
  left: -11px;
  margin-top: -11px;
  border-left-width: 0;
  border-right-color: #999999;
  border-right-color: rgba(0, 0, 0, 0.25);
}
.popover.right > .arrow:after {
  content: " ";
  left: 1px;
  bottom: -10px;
  border-left-width: 0;
  border-right-color: #fff;
}
.popover.bottom > .arrow {
  left: 50%;
  margin-left: -11px;
  border-top-width: 0;
  border-bottom-color: #999999;
  border-bottom-color: rgba(0, 0, 0, 0.25);
  top: -11px;
}
.popover.bottom > .arrow:after {
  content: " ";
  top: 1px;
  margin-left: -10px;
  border-top-width: 0;
  border-bottom-color: #fff;
}
.popover.left > .arrow {
  top: 50%;
  right: -11px;
  margin-top: -11px;
  border-right-width: 0;
  border-left-color: #999999;
  border-left-color: rgba(0, 0, 0, 0.25);
}
.popover.left > .arrow:after {
  content: " ";
  right: 1px;
  border-right-width: 0;
  border-left-color: #fff;
  bottom: -10px;
}
.carousel {
  position: relative;
}
.carousel-inner {
  position: relative;
  overflow: hidden;
  width: 100%;
}
.carousel-inner > .item {
  display: none;
  position: relative;
  -webkit-transition: 0.6s ease-in-out left;
  -o-transition: 0.6s ease-in-out left;
  transition: 0.6s ease-in-out left;
}
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  line-height: 1;
}
@media all and (transform-3d), (-webkit-transform-3d) {
  .carousel-inner > .item {
    -webkit-transition: -webkit-transform 0.6s ease-in-out;
    -moz-transition: -moz-transform 0.6s ease-in-out;
    -o-transition: -o-transform 0.6s ease-in-out;
    transition: transform 0.6s ease-in-out;
    -webkit-backface-visibility: hidden;
    -moz-backface-visibility: hidden;
    backface-visibility: hidden;
    -webkit-perspective: 1000px;
    -moz-perspective: 1000px;
    perspective: 1000px;
  }
  .carousel-inner > .item.next,
  .carousel-inner > .item.active.right {
    -webkit-transform: translate3d(100%, 0, 0);
    transform: translate3d(100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.prev,
  .carousel-inner > .item.active.left {
    -webkit-transform: translate3d(-100%, 0, 0);
    transform: translate3d(-100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.next.left,
  .carousel-inner > .item.prev.right,
  .carousel-inner > .item.active {
    -webkit-transform: translate3d(0, 0, 0);
    transform: translate3d(0, 0, 0);
    left: 0;
  }
}
.carousel-inner > .active,
.carousel-inner > .next,
.carousel-inner > .prev {
  display: block;
}
.carousel-inner > .active {
  left: 0;
}
.carousel-inner > .next,
.carousel-inner > .prev {
  position: absolute;
  top: 0;
  width: 100%;
}
.carousel-inner > .next {
  left: 100%;
}
.carousel-inner > .prev {
  left: -100%;
}
.carousel-inner > .next.left,
.carousel-inner > .prev.right {
  left: 0;
}
.carousel-inner > .active.left {
  left: -100%;
}
.carousel-inner > .active.right {
  left: 100%;
}
.carousel-control {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  width: 15%;
  opacity: 0.5;
  filter: alpha(opacity=50);
  font-size: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
  background-color: rgba(0, 0, 0, 0);
}
.carousel-control.left {
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);
}
.carousel-control.right {
  left: auto;
  right: 0;
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);
}
.carousel-control:hover,
.carousel-control:focus {
  outline: 0;
  color: #fff;
  text-decoration: none;
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.carousel-control .icon-prev,
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-left,
.carousel-control .glyphicon-chevron-right {
  position: absolute;
  top: 50%;
  margin-top: -10px;
  z-index: 5;
  display: inline-block;
}
.carousel-control .icon-prev,
.carousel-control .glyphicon-chevron-left {
  left: 50%;
  margin-left: -10px;
}
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-right {
  right: 50%;
  margin-right: -10px;
}
.carousel-control .icon-prev,
.carousel-control .icon-next {
  width: 20px;
  height: 20px;
  line-height: 1;
  font-family: serif;
}
.carousel-control .icon-prev:before {
  content: '\2039';
}
.carousel-control .icon-next:before {
  content: '\203a';
}
.carousel-indicators {
  position: absolute;
  bottom: 10px;
  left: 50%;
  z-index: 15;
  width: 60%;
  margin-left: -30%;
  padding-left: 0;
  list-style: none;
  text-align: center;
}
.carousel-indicators li {
  display: inline-block;
  width: 10px;
  height: 10px;
  margin: 1px;
  text-indent: -999px;
  border: 1px solid #fff;
  border-radius: 10px;
  cursor: pointer;
  background-color: #000 \9;
  background-color: rgba(0, 0, 0, 0);
}
.carousel-indicators .active {
  margin: 0;
  width: 12px;
  height: 12px;
  background-color: #fff;
}
.carousel-caption {
  position: absolute;
  left: 15%;
  right: 15%;
  bottom: 20px;
  z-index: 10;
  padding-top: 20px;
  padding-bottom: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
}
.carousel-caption .btn {
  text-shadow: none;
}
@media screen and (min-width: 768px) {
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-prev,
  .carousel-control .icon-next {
    width: 30px;
    height: 30px;
    margin-top: -10px;
    font-size: 30px;
  }
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .icon-prev {
    margin-left: -10px;
  }
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-next {
    margin-right: -10px;
  }
  .carousel-caption {
    left: 20%;
    right: 20%;
    padding-bottom: 30px;
  }
  .carousel-indicators {
    bottom: 20px;
  }
}
.clearfix:before,
.clearfix:after,
.dl-horizontal dd:before,
.dl-horizontal dd:after,
.container:before,
.container:after,
.container-fluid:before,
.container-fluid:after,
.row:before,
.row:after,
.form-horizontal .form-group:before,
.form-horizontal .form-group:after,
.btn-toolbar:before,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:before,
.btn-group-vertical > .btn-group:after,
.nav:before,
.nav:after,
.navbar:before,
.navbar:after,
.navbar-header:before,
.navbar-header:after,
.navbar-collapse:before,
.navbar-collapse:after,
.pager:before,
.pager:after,
.panel-body:before,
.panel-body:after,
.modal-header:before,
.modal-header:after,
.modal-footer:before,
.modal-footer:after,
.item_buttons:before,
.item_buttons:after {
  content: " ";
  display: table;
}
.clearfix:after,
.dl-horizontal dd:after,
.container:after,
.container-fluid:after,
.row:after,
.form-horizontal .form-group:after,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:after,
.nav:after,
.navbar:after,
.navbar-header:after,
.navbar-collapse:after,
.pager:after,
.panel-body:after,
.modal-header:after,
.modal-footer:after,
.item_buttons:after {
  clear: both;
}
.center-block {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.pull-right {
  float: right !important;
}
.pull-left {
  float: left !important;
}
.hide {
  display: none !important;
}
.show {
  display: block !important;
}
.invisible {
  visibility: hidden;
}
.text-hide {
  font: 0/0 a;
  color: transparent;
  text-shadow: none;
  background-color: transparent;
  border: 0;
}
.hidden {
  display: none !important;
}
.affix {
  position: fixed;
}
@-ms-viewport {
  width: device-width;
}
.visible-xs,
.visible-sm,
.visible-md,
.visible-lg {
  display: none !important;
}
.visible-xs-block,
.visible-xs-inline,
.visible-xs-inline-block,
.visible-sm-block,
.visible-sm-inline,
.visible-sm-inline-block,
.visible-md-block,
.visible-md-inline,
.visible-md-inline-block,
.visible-lg-block,
.visible-lg-inline,
.visible-lg-inline-block {
  display: none !important;
}
@media (max-width: 767px) {
  .visible-xs {
    display: block !important;
  }
  table.visible-xs {
    display: table !important;
  }
  tr.visible-xs {
    display: table-row !important;
  }
  th.visible-xs,
  td.visible-xs {
    display: table-cell !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-block {
    display: block !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline {
    display: inline !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm {
    display: block !important;
  }
  table.visible-sm {
    display: table !important;
  }
  tr.visible-sm {
    display: table-row !important;
  }
  th.visible-sm,
  td.visible-sm {
    display: table-cell !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-block {
    display: block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline {
    display: inline !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md {
    display: block !important;
  }
  table.visible-md {
    display: table !important;
  }
  tr.visible-md {
    display: table-row !important;
  }
  th.visible-md,
  td.visible-md {
    display: table-cell !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-block {
    display: block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline {
    display: inline !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg {
    display: block !important;
  }
  table.visible-lg {
    display: table !important;
  }
  tr.visible-lg {
    display: table-row !important;
  }
  th.visible-lg,
  td.visible-lg {
    display: table-cell !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-block {
    display: block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline {
    display: inline !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline-block {
    display: inline-block !important;
  }
}
@media (max-width: 767px) {
  .hidden-xs {
    display: none !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .hidden-sm {
    display: none !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .hidden-md {
    display: none !important;
  }
}
@media (min-width: 1200px) {
  .hidden-lg {
    display: none !important;
  }
}
.visible-print {
  display: none !important;
}
@media print {
  .visible-print {
    display: block !important;
  }
  table.visible-print {
    display: table !important;
  }
  tr.visible-print {
    display: table-row !important;
  }
  th.visible-print,
  td.visible-print {
    display: table-cell !important;
  }
}
.visible-print-block {
  display: none !important;
}
@media print {
  .visible-print-block {
    display: block !important;
  }
}
.visible-print-inline {
  display: none !important;
}
@media print {
  .visible-print-inline {
    display: inline !important;
  }
}
.visible-print-inline-block {
  display: none !important;
}
@media print {
  .visible-print-inline-block {
    display: inline-block !important;
  }
}
@media print {
  .hidden-print {
    display: none !important;
  }
}
/*!
*
* Font Awesome
*
*/
/*!
 *  Font Awesome 4.2.0 by @davegandy - http://fontawesome.io - @fontawesome
 *  License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)
 */
/* FONT PATH
 * -------------------------- */
@font-face {
  font-family: 'FontAwesome';
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?v=4.2.0');
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.2.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.2.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.2.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.2.0#fontawesomeregular') format('svg');
  font-weight: normal;
  font-style: normal;
}
.fa {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
}
/* makes the font 33% larger relative to the icon container */
.fa-lg {
  font-size: 1.33333333em;
  line-height: 0.75em;
  vertical-align: -15%;
}
.fa-2x {
  font-size: 2em;
}
.fa-3x {
  font-size: 3em;
}
.fa-4x {
  font-size: 4em;
}
.fa-5x {
  font-size: 5em;
}
.fa-fw {
  width: 1.28571429em;
  text-align: center;
}
.fa-ul {
  padding-left: 0;
  margin-left: 2.14285714em;
  list-style-type: none;
}
.fa-ul > li {
  position: relative;
}
.fa-li {
  position: absolute;
  left: -2.14285714em;
  width: 2.14285714em;
  top: 0.14285714em;
  text-align: center;
}
.fa-li.fa-lg {
  left: -1.85714286em;
}
.fa-border {
  padding: .2em .25em .15em;
  border: solid 0.08em #eee;
  border-radius: .1em;
}
.pull-right {
  float: right;
}
.pull-left {
  float: left;
}
.fa.pull-left {
  margin-right: .3em;
}
.fa.pull-right {
  margin-left: .3em;
}
.fa-spin {
  -webkit-animation: fa-spin 2s infinite linear;
  animation: fa-spin 2s infinite linear;
}
@-webkit-keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
@keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
.fa-rotate-90 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=1);
  -webkit-transform: rotate(90deg);
  -ms-transform: rotate(90deg);
  transform: rotate(90deg);
}
.fa-rotate-180 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=2);
  -webkit-transform: rotate(180deg);
  -ms-transform: rotate(180deg);
  transform: rotate(180deg);
}
.fa-rotate-270 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=3);
  -webkit-transform: rotate(270deg);
  -ms-transform: rotate(270deg);
  transform: rotate(270deg);
}
.fa-flip-horizontal {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1);
  -webkit-transform: scale(-1, 1);
  -ms-transform: scale(-1, 1);
  transform: scale(-1, 1);
}
.fa-flip-vertical {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1);
  -webkit-transform: scale(1, -1);
  -ms-transform: scale(1, -1);
  transform: scale(1, -1);
}
:root .fa-rotate-90,
:root .fa-rotate-180,
:root .fa-rotate-270,
:root .fa-flip-horizontal,
:root .fa-flip-vertical {
  filter: none;
}
.fa-stack {
  position: relative;
  display: inline-block;
  width: 2em;
  height: 2em;
  line-height: 2em;
  vertical-align: middle;
}
.fa-stack-1x,
.fa-stack-2x {
  position: absolute;
  left: 0;
  width: 100%;
  text-align: center;
}
.fa-stack-1x {
  line-height: inherit;
}
.fa-stack-2x {
  font-size: 2em;
}
.fa-inverse {
  color: #fff;
}
/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
   readers do not read off random characters that represent icons */
.fa-glass:before {
  content: "\f000";
}
.fa-music:before {
  content: "\f001";
}
.fa-search:before {
  content: "\f002";
}
.fa-envelope-o:before {
  content: "\f003";
}
.fa-heart:before {
  content: "\f004";
}
.fa-star:before {
  content: "\f005";
}
.fa-star-o:before {
  content: "\f006";
}
.fa-user:before {
  content: "\f007";
}
.fa-film:before {
  content: "\f008";
}
.fa-th-large:before {
  content: "\f009";
}
.fa-th:before {
  content: "\f00a";
}
.fa-th-list:before {
  content: "\f00b";
}
.fa-check:before {
  content: "\f00c";
}
.fa-remove:before,
.fa-close:before,
.fa-times:before {
  content: "\f00d";
}
.fa-search-plus:before {
  content: "\f00e";
}
.fa-search-minus:before {
  content: "\f010";
}
.fa-power-off:before {
  content: "\f011";
}
.fa-signal:before {
  content: "\f012";
}
.fa-gear:before,
.fa-cog:before {
  content: "\f013";
}
.fa-trash-o:before {
  content: "\f014";
}
.fa-home:before {
  content: "\f015";
}
.fa-file-o:before {
  content: "\f016";
}
.fa-clock-o:before {
  content: "\f017";
}
.fa-road:before {
  content: "\f018";
}
.fa-download:before {
  content: "\f019";
}
.fa-arrow-circle-o-down:before {
  content: "\f01a";
}
.fa-arrow-circle-o-up:before {
  content: "\f01b";
}
.fa-inbox:before {
  content: "\f01c";
}
.fa-play-circle-o:before {
  content: "\f01d";
}
.fa-rotate-right:before,
.fa-repeat:before {
  content: "\f01e";
}
.fa-refresh:before {
  content: "\f021";
}
.fa-list-alt:before {
  content: "\f022";
}
.fa-lock:before {
  content: "\f023";
}
.fa-flag:before {
  content: "\f024";
}
.fa-headphones:before {
  content: "\f025";
}
.fa-volume-off:before {
  content: "\f026";
}
.fa-volume-down:before {
  content: "\f027";
}
.fa-volume-up:before {
  content: "\f028";
}
.fa-qrcode:before {
  content: "\f029";
}
.fa-barcode:before {
  content: "\f02a";
}
.fa-tag:before {
  content: "\f02b";
}
.fa-tags:before {
  content: "\f02c";
}
.fa-book:before {
  content: "\f02d";
}
.fa-bookmark:before {
  content: "\f02e";
}
.fa-print:before {
  content: "\f02f";
}
.fa-camera:before {
  content: "\f030";
}
.fa-font:before {
  content: "\f031";
}
.fa-bold:before {
  content: "\f032";
}
.fa-italic:before {
  content: "\f033";
}
.fa-text-height:before {
  content: "\f034";
}
.fa-text-width:before {
  content: "\f035";
}
.fa-align-left:before {
  content: "\f036";
}
.fa-align-center:before {
  content: "\f037";
}
.fa-align-right:before {
  content: "\f038";
}
.fa-align-justify:before {
  content: "\f039";
}
.fa-list:before {
  content: "\f03a";
}
.fa-dedent:before,
.fa-outdent:before {
  content: "\f03b";
}
.fa-indent:before {
  content: "\f03c";
}
.fa-video-camera:before {
  content: "\f03d";
}
.fa-photo:before,
.fa-image:before,
.fa-picture-o:before {
  content: "\f03e";
}
.fa-pencil:before {
  content: "\f040";
}
.fa-map-marker:before {
  content: "\f041";
}
.fa-adjust:before {
  content: "\f042";
}
.fa-tint:before {
  content: "\f043";
}
.fa-edit:before,
.fa-pencil-square-o:before {
  content: "\f044";
}
.fa-share-square-o:before {
  content: "\f045";
}
.fa-check-square-o:before {
  content: "\f046";
}
.fa-arrows:before {
  content: "\f047";
}
.fa-step-backward:before {
  content: "\f048";
}
.fa-fast-backward:before {
  content: "\f049";
}
.fa-backward:before {
  content: "\f04a";
}
.fa-play:before {
  content: "\f04b";
}
.fa-pause:before {
  content: "\f04c";
}
.fa-stop:before {
  content: "\f04d";
}
.fa-forward:before {
  content: "\f04e";
}
.fa-fast-forward:before {
  content: "\f050";
}
.fa-step-forward:before {
  content: "\f051";
}
.fa-eject:before {
  content: "\f052";
}
.fa-chevron-left:before {
  content: "\f053";
}
.fa-chevron-right:before {
  content: "\f054";
}
.fa-plus-circle:before {
  content: "\f055";
}
.fa-minus-circle:before {
  content: "\f056";
}
.fa-times-circle:before {
  content: "\f057";
}
.fa-check-circle:before {
  content: "\f058";
}
.fa-question-circle:before {
  content: "\f059";
}
.fa-info-circle:before {
  content: "\f05a";
}
.fa-crosshairs:before {
  content: "\f05b";
}
.fa-times-circle-o:before {
  content: "\f05c";
}
.fa-check-circle-o:before {
  content: "\f05d";
}
.fa-ban:before {
  content: "\f05e";
}
.fa-arrow-left:before {
  content: "\f060";
}
.fa-arrow-right:before {
  content: "\f061";
}
.fa-arrow-up:before {
  content: "\f062";
}
.fa-arrow-down:before {
  content: "\f063";
}
.fa-mail-forward:before,
.fa-share:before {
  content: "\f064";
}
.fa-expand:before {
  content: "\f065";
}
.fa-compress:before {
  content: "\f066";
}
.fa-plus:before {
  content: "\f067";
}
.fa-minus:before {
  content: "\f068";
}
.fa-asterisk:before {
  content: "\f069";
}
.fa-exclamation-circle:before {
  content: "\f06a";
}
.fa-gift:before {
  content: "\f06b";
}
.fa-leaf:before {
  content: "\f06c";
}
.fa-fire:before {
  content: "\f06d";
}
.fa-eye:before {
  content: "\f06e";
}
.fa-eye-slash:before {
  content: "\f070";
}
.fa-warning:before,
.fa-exclamation-triangle:before {
  content: "\f071";
}
.fa-plane:before {
  content: "\f072";
}
.fa-calendar:before {
  content: "\f073";
}
.fa-random:before {
  content: "\f074";
}
.fa-comment:before {
  content: "\f075";
}
.fa-magnet:before {
  content: "\f076";
}
.fa-chevron-up:before {
  content: "\f077";
}
.fa-chevron-down:before {
  content: "\f078";
}
.fa-retweet:before {
  content: "\f079";
}
.fa-shopping-cart:before {
  content: "\f07a";
}
.fa-folder:before {
  content: "\f07b";
}
.fa-folder-open:before {
  content: "\f07c";
}
.fa-arrows-v:before {
  content: "\f07d";
}
.fa-arrows-h:before {
  content: "\f07e";
}
.fa-bar-chart-o:before,
.fa-bar-chart:before {
  content: "\f080";
}
.fa-twitter-square:before {
  content: "\f081";
}
.fa-facebook-square:before {
  content: "\f082";
}
.fa-camera-retro:before {
  content: "\f083";
}
.fa-key:before {
  content: "\f084";
}
.fa-gears:before,
.fa-cogs:before {
  content: "\f085";
}
.fa-comments:before {
  content: "\f086";
}
.fa-thumbs-o-up:before {
  content: "\f087";
}
.fa-thumbs-o-down:before {
  content: "\f088";
}
.fa-star-half:before {
  content: "\f089";
}
.fa-heart-o:before {
  content: "\f08a";
}
.fa-sign-out:before {
  content: "\f08b";
}
.fa-linkedin-square:before {
  content: "\f08c";
}
.fa-thumb-tack:before {
  content: "\f08d";
}
.fa-external-link:before {
  content: "\f08e";
}
.fa-sign-in:before {
  content: "\f090";
}
.fa-trophy:before {
  content: "\f091";
}
.fa-github-square:before {
  content: "\f092";
}
.fa-upload:before {
  content: "\f093";
}
.fa-lemon-o:before {
  content: "\f094";
}
.fa-phone:before {
  content: "\f095";
}
.fa-square-o:before {
  content: "\f096";
}
.fa-bookmark-o:before {
  content: "\f097";
}
.fa-phone-square:before {
  content: "\f098";
}
.fa-twitter:before {
  content: "\f099";
}
.fa-facebook:before {
  content: "\f09a";
}
.fa-github:before {
  content: "\f09b";
}
.fa-unlock:before {
  content: "\f09c";
}
.fa-credit-card:before {
  content: "\f09d";
}
.fa-rss:before {
  content: "\f09e";
}
.fa-hdd-o:before {
  content: "\f0a0";
}
.fa-bullhorn:before {
  content: "\f0a1";
}
.fa-bell:before {
  content: "\f0f3";
}
.fa-certificate:before {
  content: "\f0a3";
}
.fa-hand-o-right:before {
  content: "\f0a4";
}
.fa-hand-o-left:before {
  content: "\f0a5";
}
.fa-hand-o-up:before {
  content: "\f0a6";
}
.fa-hand-o-down:before {
  content: "\f0a7";
}
.fa-arrow-circle-left:before {
  content: "\f0a8";
}
.fa-arrow-circle-right:before {
  content: "\f0a9";
}
.fa-arrow-circle-up:before {
  content: "\f0aa";
}
.fa-arrow-circle-down:before {
  content: "\f0ab";
}
.fa-globe:before {
  content: "\f0ac";
}
.fa-wrench:before {
  content: "\f0ad";
}
.fa-tasks:before {
  content: "\f0ae";
}
.fa-filter:before {
  content: "\f0b0";
}
.fa-briefcase:before {
  content: "\f0b1";
}
.fa-arrows-alt:before {
  content: "\f0b2";
}
.fa-group:before,
.fa-users:before {
  content: "\f0c0";
}
.fa-chain:before,
.fa-link:before {
  content: "\f0c1";
}
.fa-cloud:before {
  content: "\f0c2";
}
.fa-flask:before {
  content: "\f0c3";
}
.fa-cut:before,
.fa-scissors:before {
  content: "\f0c4";
}
.fa-copy:before,
.fa-files-o:before {
  content: "\f0c5";
}
.fa-paperclip:before {
  content: "\f0c6";
}
.fa-save:before,
.fa-floppy-o:before {
  content: "\f0c7";
}
.fa-square:before {
  content: "\f0c8";
}
.fa-navicon:before,
.fa-reorder:before,
.fa-bars:before {
  content: "\f0c9";
}
.fa-list-ul:before {
  content: "\f0ca";
}
.fa-list-ol:before {
  content: "\f0cb";
}
.fa-strikethrough:before {
  content: "\f0cc";
}
.fa-underline:before {
  content: "\f0cd";
}
.fa-table:before {
  content: "\f0ce";
}
.fa-magic:before {
  content: "\f0d0";
}
.fa-truck:before {
  content: "\f0d1";
}
.fa-pinterest:before {
  content: "\f0d2";
}
.fa-pinterest-square:before {
  content: "\f0d3";
}
.fa-google-plus-square:before {
  content: "\f0d4";
}
.fa-google-plus:before {
  content: "\f0d5";
}
.fa-money:before {
  content: "\f0d6";
}
.fa-caret-down:before {
  content: "\f0d7";
}
.fa-caret-up:before {
  content: "\f0d8";
}
.fa-caret-left:before {
  content: "\f0d9";
}
.fa-caret-right:before {
  content: "\f0da";
}
.fa-columns:before {
  content: "\f0db";
}
.fa-unsorted:before,
.fa-sort:before {
  content: "\f0dc";
}
.fa-sort-down:before,
.fa-sort-desc:before {
  content: "\f0dd";
}
.fa-sort-up:before,
.fa-sort-asc:before {
  content: "\f0de";
}
.fa-envelope:before {
  content: "\f0e0";
}
.fa-linkedin:before {
  content: "\f0e1";
}
.fa-rotate-left:before,
.fa-undo:before {
  content: "\f0e2";
}
.fa-legal:before,
.fa-gavel:before {
  content: "\f0e3";
}
.fa-dashboard:before,
.fa-tachometer:before {
  content: "\f0e4";
}
.fa-comment-o:before {
  content: "\f0e5";
}
.fa-comments-o:before {
  content: "\f0e6";
}
.fa-flash:before,
.fa-bolt:before {
  content: "\f0e7";
}
.fa-sitemap:before {
  content: "\f0e8";
}
.fa-umbrella:before {
  content: "\f0e9";
}
.fa-paste:before,
.fa-clipboard:before {
  content: "\f0ea";
}
.fa-lightbulb-o:before {
  content: "\f0eb";
}
.fa-exchange:before {
  content: "\f0ec";
}
.fa-cloud-download:before {
  content: "\f0ed";
}
.fa-cloud-upload:before {
  content: "\f0ee";
}
.fa-user-md:before {
  content: "\f0f0";
}
.fa-stethoscope:before {
  content: "\f0f1";
}
.fa-suitcase:before {
  content: "\f0f2";
}
.fa-bell-o:before {
  content: "\f0a2";
}
.fa-coffee:before {
  content: "\f0f4";
}
.fa-cutlery:before {
  content: "\f0f5";
}
.fa-file-text-o:before {
  content: "\f0f6";
}
.fa-building-o:before {
  content: "\f0f7";
}
.fa-hospital-o:before {
  content: "\f0f8";
}
.fa-ambulance:before {
  content: "\f0f9";
}
.fa-medkit:before {
  content: "\f0fa";
}
.fa-fighter-jet:before {
  content: "\f0fb";
}
.fa-beer:before {
  content: "\f0fc";
}
.fa-h-square:before {
  content: "\f0fd";
}
.fa-plus-square:before {
  content: "\f0fe";
}
.fa-angle-double-left:before {
  content: "\f100";
}
.fa-angle-double-right:before {
  content: "\f101";
}
.fa-angle-double-up:before {
  content: "\f102";
}
.fa-angle-double-down:before {
  content: "\f103";
}
.fa-angle-left:before {
  content: "\f104";
}
.fa-angle-right:before {
  content: "\f105";
}
.fa-angle-up:before {
  content: "\f106";
}
.fa-angle-down:before {
  content: "\f107";
}
.fa-desktop:before {
  content: "\f108";
}
.fa-laptop:before {
  content: "\f109";
}
.fa-tablet:before {
  content: "\f10a";
}
.fa-mobile-phone:before,
.fa-mobile:before {
  content: "\f10b";
}
.fa-circle-o:before {
  content: "\f10c";
}
.fa-quote-left:before {
  content: "\f10d";
}
.fa-quote-right:before {
  content: "\f10e";
}
.fa-spinner:before {
  content: "\f110";
}
.fa-circle:before {
  content: "\f111";
}
.fa-mail-reply:before,
.fa-reply:before {
  content: "\f112";
}
.fa-github-alt:before {
  content: "\f113";
}
.fa-folder-o:before {
  content: "\f114";
}
.fa-folder-open-o:before {
  content: "\f115";
}
.fa-smile-o:before {
  content: "\f118";
}
.fa-frown-o:before {
  content: "\f119";
}
.fa-meh-o:before {
  content: "\f11a";
}
.fa-gamepad:before {
  content: "\f11b";
}
.fa-keyboard-o:before {
  content: "\f11c";
}
.fa-flag-o:before {
  content: "\f11d";
}
.fa-flag-checkered:before {
  content: "\f11e";
}
.fa-terminal:before {
  content: "\f120";
}
.fa-code:before {
  content: "\f121";
}
.fa-mail-reply-all:before,
.fa-reply-all:before {
  content: "\f122";
}
.fa-star-half-empty:before,
.fa-star-half-full:before,
.fa-star-half-o:before {
  content: "\f123";
}
.fa-location-arrow:before {
  content: "\f124";
}
.fa-crop:before {
  content: "\f125";
}
.fa-code-fork:before {
  content: "\f126";
}
.fa-unlink:before,
.fa-chain-broken:before {
  content: "\f127";
}
.fa-question:before {
  content: "\f128";
}
.fa-info:before {
  content: "\f129";
}
.fa-exclamation:before {
  content: "\f12a";
}
.fa-superscript:before {
  content: "\f12b";
}
.fa-subscript:before {
  content: "\f12c";
}
.fa-eraser:before {
  content: "\f12d";
}
.fa-puzzle-piece:before {
  content: "\f12e";
}
.fa-microphone:before {
  content: "\f130";
}
.fa-microphone-slash:before {
  content: "\f131";
}
.fa-shield:before {
  content: "\f132";
}
.fa-calendar-o:before {
  content: "\f133";
}
.fa-fire-extinguisher:before {
  content: "\f134";
}
.fa-rocket:before {
  content: "\f135";
}
.fa-maxcdn:before {
  content: "\f136";
}
.fa-chevron-circle-left:before {
  content: "\f137";
}
.fa-chevron-circle-right:before {
  content: "\f138";
}
.fa-chevron-circle-up:before {
  content: "\f139";
}
.fa-chevron-circle-down:before {
  content: "\f13a";
}
.fa-html5:before {
  content: "\f13b";
}
.fa-css3:before {
  content: "\f13c";
}
.fa-anchor:before {
  content: "\f13d";
}
.fa-unlock-alt:before {
  content: "\f13e";
}
.fa-bullseye:before {
  content: "\f140";
}
.fa-ellipsis-h:before {
  content: "\f141";
}
.fa-ellipsis-v:before {
  content: "\f142";
}
.fa-rss-square:before {
  content: "\f143";
}
.fa-play-circle:before {
  content: "\f144";
}
.fa-ticket:before {
  content: "\f145";
}
.fa-minus-square:before {
  content: "\f146";
}
.fa-minus-square-o:before {
  content: "\f147";
}
.fa-level-up:before {
  content: "\f148";
}
.fa-level-down:before {
  content: "\f149";
}
.fa-check-square:before {
  content: "\f14a";
}
.fa-pencil-square:before {
  content: "\f14b";
}
.fa-external-link-square:before {
  content: "\f14c";
}
.fa-share-square:before {
  content: "\f14d";
}
.fa-compass:before {
  content: "\f14e";
}
.fa-toggle-down:before,
.fa-caret-square-o-down:before {
  content: "\f150";
}
.fa-toggle-up:before,
.fa-caret-square-o-up:before {
  content: "\f151";
}
.fa-toggle-right:before,
.fa-caret-square-o-right:before {
  content: "\f152";
}
.fa-euro:before,
.fa-eur:before {
  content: "\f153";
}
.fa-gbp:before {
  content: "\f154";
}
.fa-dollar:before,
.fa-usd:before {
  content: "\f155";
}
.fa-rupee:before,
.fa-inr:before {
  content: "\f156";
}
.fa-cny:before,
.fa-rmb:before,
.fa-yen:before,
.fa-jpy:before {
  content: "\f157";
}
.fa-ruble:before,
.fa-rouble:before,
.fa-rub:before {
  content: "\f158";
}
.fa-won:before,
.fa-krw:before {
  content: "\f159";
}
.fa-bitcoin:before,
.fa-btc:before {
  content: "\f15a";
}
.fa-file:before {
  content: "\f15b";
}
.fa-file-text:before {
  content: "\f15c";
}
.fa-sort-alpha-asc:before {
  content: "\f15d";
}
.fa-sort-alpha-desc:before {
  content: "\f15e";
}
.fa-sort-amount-asc:before {
  content: "\f160";
}
.fa-sort-amount-desc:before {
  content: "\f161";
}
.fa-sort-numeric-asc:before {
  content: "\f162";
}
.fa-sort-numeric-desc:before {
  content: "\f163";
}
.fa-thumbs-up:before {
  content: "\f164";
}
.fa-thumbs-down:before {
  content: "\f165";
}
.fa-youtube-square:before {
  content: "\f166";
}
.fa-youtube:before {
  content: "\f167";
}
.fa-xing:before {
  content: "\f168";
}
.fa-xing-square:before {
  content: "\f169";
}
.fa-youtube-play:before {
  content: "\f16a";
}
.fa-dropbox:before {
  content: "\f16b";
}
.fa-stack-overflow:before {
  content: "\f16c";
}
.fa-instagram:before {
  content: "\f16d";
}
.fa-flickr:before {
  content: "\f16e";
}
.fa-adn:before {
  content: "\f170";
}
.fa-bitbucket:before {
  content: "\f171";
}
.fa-bitbucket-square:before {
  content: "\f172";
}
.fa-tumblr:before {
  content: "\f173";
}
.fa-tumblr-square:before {
  content: "\f174";
}
.fa-long-arrow-down:before {
  content: "\f175";
}
.fa-long-arrow-up:before {
  content: "\f176";
}
.fa-long-arrow-left:before {
  content: "\f177";
}
.fa-long-arrow-right:before {
  content: "\f178";
}
.fa-apple:before {
  content: "\f179";
}
.fa-windows:before {
  content: "\f17a";
}
.fa-android:before {
  content: "\f17b";
}
.fa-linux:before {
  content: "\f17c";
}
.fa-dribbble:before {
  content: "\f17d";
}
.fa-skype:before {
  content: "\f17e";
}
.fa-foursquare:before {
  content: "\f180";
}
.fa-trello:before {
  content: "\f181";
}
.fa-female:before {
  content: "\f182";
}
.fa-male:before {
  content: "\f183";
}
.fa-gittip:before {
  content: "\f184";
}
.fa-sun-o:before {
  content: "\f185";
}
.fa-moon-o:before {
  content: "\f186";
}
.fa-archive:before {
  content: "\f187";
}
.fa-bug:before {
  content: "\f188";
}
.fa-vk:before {
  content: "\f189";
}
.fa-weibo:before {
  content: "\f18a";
}
.fa-renren:before {
  content: "\f18b";
}
.fa-pagelines:before {
  content: "\f18c";
}
.fa-stack-exchange:before {
  content: "\f18d";
}
.fa-arrow-circle-o-right:before {
  content: "\f18e";
}
.fa-arrow-circle-o-left:before {
  content: "\f190";
}
.fa-toggle-left:before,
.fa-caret-square-o-left:before {
  content: "\f191";
}
.fa-dot-circle-o:before {
  content: "\f192";
}
.fa-wheelchair:before {
  content: "\f193";
}
.fa-vimeo-square:before {
  content: "\f194";
}
.fa-turkish-lira:before,
.fa-try:before {
  content: "\f195";
}
.fa-plus-square-o:before {
  content: "\f196";
}
.fa-space-shuttle:before {
  content: "\f197";
}
.fa-slack:before {
  content: "\f198";
}
.fa-envelope-square:before {
  content: "\f199";
}
.fa-wordpress:before {
  content: "\f19a";
}
.fa-openid:before {
  content: "\f19b";
}
.fa-institution:before,
.fa-bank:before,
.fa-university:before {
  content: "\f19c";
}
.fa-mortar-board:before,
.fa-graduation-cap:before {
  content: "\f19d";
}
.fa-yahoo:before {
  content: "\f19e";
}
.fa-google:before {
  content: "\f1a0";
}
.fa-reddit:before {
  content: "\f1a1";
}
.fa-reddit-square:before {
  content: "\f1a2";
}
.fa-stumbleupon-circle:before {
  content: "\f1a3";
}
.fa-stumbleupon:before {
  content: "\f1a4";
}
.fa-delicious:before {
  content: "\f1a5";
}
.fa-digg:before {
  content: "\f1a6";
}
.fa-pied-piper:before {
  content: "\f1a7";
}
.fa-pied-piper-alt:before {
  content: "\f1a8";
}
.fa-drupal:before {
  content: "\f1a9";
}
.fa-joomla:before {
  content: "\f1aa";
}
.fa-language:before {
  content: "\f1ab";
}
.fa-fax:before {
  content: "\f1ac";
}
.fa-building:before {
  content: "\f1ad";
}
.fa-child:before {
  content: "\f1ae";
}
.fa-paw:before {
  content: "\f1b0";
}
.fa-spoon:before {
  content: "\f1b1";
}
.fa-cube:before {
  content: "\f1b2";
}
.fa-cubes:before {
  content: "\f1b3";
}
.fa-behance:before {
  content: "\f1b4";
}
.fa-behance-square:before {
  content: "\f1b5";
}
.fa-steam:before {
  content: "\f1b6";
}
.fa-steam-square:before {
  content: "\f1b7";
}
.fa-recycle:before {
  content: "\f1b8";
}
.fa-automobile:before,
.fa-car:before {
  content: "\f1b9";
}
.fa-cab:before,
.fa-taxi:before {
  content: "\f1ba";
}
.fa-tree:before {
  content: "\f1bb";
}
.fa-spotify:before {
  content: "\f1bc";
}
.fa-deviantart:before {
  content: "\f1bd";
}
.fa-soundcloud:before {
  content: "\f1be";
}
.fa-database:before {
  content: "\f1c0";
}
.fa-file-pdf-o:before {
  content: "\f1c1";
}
.fa-file-word-o:before {
  content: "\f1c2";
}
.fa-file-excel-o:before {
  content: "\f1c3";
}
.fa-file-powerpoint-o:before {
  content: "\f1c4";
}
.fa-file-photo-o:before,
.fa-file-picture-o:before,
.fa-file-image-o:before {
  content: "\f1c5";
}
.fa-file-zip-o:before,
.fa-file-archive-o:before {
  content: "\f1c6";
}
.fa-file-sound-o:before,
.fa-file-audio-o:before {
  content: "\f1c7";
}
.fa-file-movie-o:before,
.fa-file-video-o:before {
  content: "\f1c8";
}
.fa-file-code-o:before {
  content: "\f1c9";
}
.fa-vine:before {
  content: "\f1ca";
}
.fa-codepen:before {
  content: "\f1cb";
}
.fa-jsfiddle:before {
  content: "\f1cc";
}
.fa-life-bouy:before,
.fa-life-buoy:before,
.fa-life-saver:before,
.fa-support:before,
.fa-life-ring:before {
  content: "\f1cd";
}
.fa-circle-o-notch:before {
  content: "\f1ce";
}
.fa-ra:before,
.fa-rebel:before {
  content: "\f1d0";
}
.fa-ge:before,
.fa-empire:before {
  content: "\f1d1";
}
.fa-git-square:before {
  content: "\f1d2";
}
.fa-git:before {
  content: "\f1d3";
}
.fa-hacker-news:before {
  content: "\f1d4";
}
.fa-tencent-weibo:before {
  content: "\f1d5";
}
.fa-qq:before {
  content: "\f1d6";
}
.fa-wechat:before,
.fa-weixin:before {
  content: "\f1d7";
}
.fa-send:before,
.fa-paper-plane:before {
  content: "\f1d8";
}
.fa-send-o:before,
.fa-paper-plane-o:before {
  content: "\f1d9";
}
.fa-history:before {
  content: "\f1da";
}
.fa-circle-thin:before {
  content: "\f1db";
}
.fa-header:before {
  content: "\f1dc";
}
.fa-paragraph:before {
  content: "\f1dd";
}
.fa-sliders:before {
  content: "\f1de";
}
.fa-share-alt:before {
  content: "\f1e0";
}
.fa-share-alt-square:before {
  content: "\f1e1";
}
.fa-bomb:before {
  content: "\f1e2";
}
.fa-soccer-ball-o:before,
.fa-futbol-o:before {
  content: "\f1e3";
}
.fa-tty:before {
  content: "\f1e4";
}
.fa-binoculars:before {
  content: "\f1e5";
}
.fa-plug:before {
  content: "\f1e6";
}
.fa-slideshare:before {
  content: "\f1e7";
}
.fa-twitch:before {
  content: "\f1e8";
}
.fa-yelp:before {
  content: "\f1e9";
}
.fa-newspaper-o:before {
  content: "\f1ea";
}
.fa-wifi:before {
  content: "\f1eb";
}
.fa-calculator:before {
  content: "\f1ec";
}
.fa-paypal:before {
  content: "\f1ed";
}
.fa-google-wallet:before {
  content: "\f1ee";
}
.fa-cc-visa:before {
  content: "\f1f0";
}
.fa-cc-mastercard:before {
  content: "\f1f1";
}
.fa-cc-discover:before {
  content: "\f1f2";
}
.fa-cc-amex:before {
  content: "\f1f3";
}
.fa-cc-paypal:before {
  content: "\f1f4";
}
.fa-cc-stripe:before {
  content: "\f1f5";
}
.fa-bell-slash:before {
  content: "\f1f6";
}
.fa-bell-slash-o:before {
  content: "\f1f7";
}
.fa-trash:before {
  content: "\f1f8";
}
.fa-copyright:before {
  content: "\f1f9";
}
.fa-at:before {
  content: "\f1fa";
}
.fa-eyedropper:before {
  content: "\f1fb";
}
.fa-paint-brush:before {
  content: "\f1fc";
}
.fa-birthday-cake:before {
  content: "\f1fd";
}
.fa-area-chart:before {
  content: "\f1fe";
}
.fa-pie-chart:before {
  content: "\f200";
}
.fa-line-chart:before {
  content: "\f201";
}
.fa-lastfm:before {
  content: "\f202";
}
.fa-lastfm-square:before {
  content: "\f203";
}
.fa-toggle-off:before {
  content: "\f204";
}
.fa-toggle-on:before {
  content: "\f205";
}
.fa-bicycle:before {
  content: "\f206";
}
.fa-bus:before {
  content: "\f207";
}
.fa-ioxhost:before {
  content: "\f208";
}
.fa-angellist:before {
  content: "\f209";
}
.fa-cc:before {
  content: "\f20a";
}
.fa-shekel:before,
.fa-sheqel:before,
.fa-ils:before {
  content: "\f20b";
}
.fa-meanpath:before {
  content: "\f20c";
}
/*!
*
* IPython base
*
*/
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
code {
  color: #000;
}
pre {
  font-size: inherit;
  line-height: inherit;
}
label {
  font-weight: normal;
}
/* Make the page background atleast 100% the height of the view port */
/* Make the page itself atleast 70% the height of the view port */
.border-box-sizing {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.corner-all {
  border-radius: 2px;
}
.no-padding {
  padding: 0px;
}
/* Flexible box model classes */
/* Taken from Alex Russell http://infrequently.org/2009/08/css-3-progress/ */
/* This file is a compatability layer.  It allows the usage of flexible box 
model layouts accross multiple browsers, including older browsers.  The newest,
universal implementation of the flexible box model is used when available (see
`Modern browsers` comments below).  Browsers that are known to implement this 
new spec completely include:

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

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

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

*/
.highlight-base {
  color: #000;
}
.highlight-variable {
  color: #000;
}
.highlight-variable-2 {
  color: #1a1a1a;
}
.highlight-variable-3 {
  color: #333333;
}
.highlight-string {
  color: #BA2121;
}
.highlight-comment {
  color: #408080;
  font-style: italic;
}
.highlight-number {
  color: #080;
}
.highlight-atom {
  color: #88F;
}
.highlight-keyword {
  color: #008000;
  font-weight: bold;
}
.highlight-builtin {
  color: #008000;
}
.highlight-error {
  color: #f00;
}
.highlight-operator {
  color: #AA22FF;
  font-weight: bold;
}
.highlight-meta {
  color: #AA22FF;
}
/* previously not defined, copying from default codemirror */
.highlight-def {
  color: #00f;
}
.highlight-string-2 {
  color: #f50;
}
.highlight-qualifier {
  color: #555;
}
.highlight-bracket {
  color: #997;
}
.highlight-tag {
  color: #170;
}
.highlight-attribute {
  color: #00c;
}
.highlight-header {
  color: blue;
}
.highlight-quote {
  color: #090;
}
.highlight-link {
  color: #00c;
}
/* apply the same style to codemirror */
.cm-s-ipython span.cm-keyword {
  color: #008000;
  font-weight: bold;
}
.cm-s-ipython span.cm-atom {
  color: #88F;
}
.cm-s-ipython span.cm-number {
  color: #080;
}
.cm-s-ipython span.cm-def {
  color: #00f;
}
.cm-s-ipython span.cm-variable {
  color: #000;
}
.cm-s-ipython span.cm-operator {
  color: #AA22FF;
  font-weight: bold;
}
.cm-s-ipython span.cm-variable-2 {
  color: #1a1a1a;
}
.cm-s-ipython span.cm-variable-3 {
  color: #333333;
}
.cm-s-ipython span.cm-comment {
  color: #408080;
  font-style: italic;
}
.cm-s-ipython span.cm-string {
  color: #BA2121;
}
.cm-s-ipython span.cm-string-2 {
  color: #f50;
}
.cm-s-ipython span.cm-meta {
  color: #AA22FF;
}
.cm-s-ipython span.cm-qualifier {
  color: #555;
}
.cm-s-ipython span.cm-builtin {
  color: #008000;
}
.cm-s-ipython span.cm-bracket {
  color: #997;
}
.cm-s-ipython span.cm-tag {
  color: #170;
}
.cm-s-ipython span.cm-attribute {
  color: #00c;
}
.cm-s-ipython span.cm-header {
  color: blue;
}
.cm-s-ipython span.cm-quote {
  color: #090;
}
.cm-s-ipython span.cm-link {
  color: #00c;
}
.cm-s-ipython span.cm-error {
  color: #f00;
}
.cm-s-ipython span.cm-tab {
  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
  background-position: right;
  background-repeat: no-repeat;
}
div.output_wrapper {
  /* this position must be relative to enable descendents to be absolute within it */
  position: relative;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  z-index: 1;
}
/* class for the output area when it should be height-limited */
div.output_scroll {
  /* ideally, this would be max-height, but FF barfs all over that */
  height: 24em;
  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
  width: 100%;
  overflow: auto;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  display: block;
}
/* output div while it is collapsed */
div.output_collapsed {
  margin: 0px;
  padding: 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
div.out_prompt_overlay {
  height: 100%;
  padding: 0px 0.4em;
  position: absolute;
  border-radius: 2px;
}
div.out_prompt_overlay:hover {
  /* use inner shadow to get border that is computed the same on WebKit/FF */
  -webkit-box-shadow: inset 0 0 1px #000;
  box-shadow: inset 0 0 1px #000;
  background: rgba(240, 240, 240, 0.5);
}
div.output_prompt {
  color: #D84315;
}
/* This class is the outer container of all output sections. */
div.output_area {
  padding: 0px;
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.output_area .MathJax_Display {
  text-align: left !important;
}
div.output_area .rendered_html table {
  margin-left: 0;
  margin-right: 0;
}
div.output_area .rendered_html img {
  margin-left: 0;
  margin-right: 0;
}
div.output_area img,
div.output_area svg {
  max-width: 100%;
  height: auto;
}
div.output_area img.unconfined,
div.output_area svg.unconfined {
  max-width: none;
}
/* This is needed to protect the pre formating from global settings such
   as that of bootstrap */
.output {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.output_area {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
div.output_area pre {
  margin: 0;
  padding: 0;
  border: 0;
  vertical-align: baseline;
  color: black;
  background-color: transparent;
  border-radius: 0;
}
/* This class is for the output subarea inside the output_area and after
   the prompt div. */
div.output_subarea {
  overflow-x: auto;
  padding: 0.4em;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
  max-width: calc(100% - 14ex);
}
div.output_scroll div.output_subarea {
  overflow-x: visible;
}
/* The rest of the output_* classes are for special styling of the different
   output types */
/* all text output has this class: */
div.output_text {
  text-align: left;
  color: #000;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
}
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
div.output_stderr {
  background: #fdd;
  /* very light red background for stderr */
}
div.output_latex {
  text-align: left;
}
/* Empty output_javascript divs should have no height */
div.output_javascript:empty {
  padding: 0;
}
.js-error {
  color: darkred;
}
/* raw_input styles */
div.raw_input_container {
  line-height: 1.21429em;
  padding-top: 5px;
}
pre.raw_input_prompt {
  /* nothing needed here. */
}
input.raw_input {
  font-family: monospace;
  font-size: inherit;
  color: inherit;
  width: auto;
  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;
  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0em 0.25em;
  margin: 0em 0.25em;
}
input.raw_input:focus {
  box-shadow: none;
}
p.p-space {
  margin-bottom: 10px;
}
div.output_unrecognized {
  padding: 5px;
  font-weight: bold;
  color: red;
}
div.output_unrecognized a {
  color: inherit;
  text-decoration: none;
}
div.output_unrecognized a:hover {
  color: inherit;
  text-decoration: none;
}
.rendered_html {
  color: #000;
  /* any extras will just be numbers: */
}
.rendered_html em {
  font-style: italic;
}
.rendered_html strong {
  font-weight: bold;
}
.rendered_html u {
  text-decoration: underline;
}
.rendered_html :link {
  text-decoration: underline;
}
.rendered_html :visited {
  text-decoration: underline;
}
.rendered_html h1 {
  font-size: 185.7%;
  margin: 1.08em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h2 {
  font-size: 157.1%;
  margin: 1.27em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h3 {
  font-size: 128.6%;
  margin: 1.55em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h4 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h5 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h6 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h1:first-child {
  margin-top: 0.538em;
}
.rendered_html h2:first-child {
  margin-top: 0.636em;
}
.rendered_html h3:first-child {
  margin-top: 0.777em;
}
.rendered_html h4:first-child {
  margin-top: 1em;
}
.rendered_html h5:first-child {
  margin-top: 1em;
}
.rendered_html h6:first-child {
  margin-top: 1em;
}
.rendered_html ul {
  list-style: disc;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ul ul {
  list-style: square;
  margin: 0em 2em;
}
.rendered_html ul ul ul {
  list-style: circle;
  margin: 0em 2em;
}
.rendered_html ol {
  list-style: decimal;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
  margin: 0em 2em;
}
.rendered_html * + ul {
  margin-top: 1em;
}
.rendered_html * + ol {
  margin-top: 1em;
}
.rendered_html hr {
  color: black;
  background-color: black;
}
.rendered_html pre {
  margin: 1em 2em;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  background-color: #fff;
  color: #000;
  font-size: 100%;
  padding: 0px;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: 1px solid black;
  border-collapse: collapse;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  border: 1px solid black;
  border-collapse: collapse;
  margin: 1em 2em;
}
.rendered_html td,
.rendered_html th {
  text-align: left;
  vertical-align: middle;
  padding: 4px;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html * + table {
  margin-top: 1em;
}
.rendered_html p {
  text-align: left;
}
.rendered_html * + p {
  margin-top: 1em;
}
.rendered_html img {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.rendered_html * + img {
  margin-top: 1em;
}
.rendered_html img,
.rendered_html svg {
  max-width: 100%;
  height: auto;
}
.rendered_html img.unconfined,
.rendered_html svg.unconfined {
  max-width: none;
}
div.text_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.text_cell > div.prompt {
    display: none;
  }
}
div.text_cell_render {
  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
  outline: none;
  resize: none;
  width: inherit;
  border-style: none;
  padding: 0.5em 0.5em 0.5em 0.4em;
  color: #000;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
a.anchor-link:link {
  text-decoration: none;
  padding: 0px 20px;
  visibility: hidden;
}
h1:hover .anchor-link,
h2:hover .anchor-link,
h3:hover .anchor-link,
h4:hover .anchor-link,
h5:hover .anchor-link,
h6:hover .anchor-link {
  visibility: visible;
}
.text_cell.rendered .input_area {
  display: none;
}
.text_cell.rendered .rendered_html {
  overflow-x: auto;
  overflow-y: hidden;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.cm-header-1,
.cm-header-2,
.cm-header-3,
.cm-header-4,
.cm-header-5,
.cm-header-6 {
  font-weight: bold;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.cm-header-1 {
  font-size: 185.7%;
}
.cm-header-2 {
  font-size: 157.1%;
}
.cm-header-3 {
  font-size: 128.6%;
}
.cm-header-4 {
  font-size: 110%;
}
.cm-header-5 {
  font-size: 100%;
  font-style: italic;
}
.cm-header-6 {
  font-size: 100%;
  font-style: italic;
}
/*!
*
* IPython notebook webapp
*
*/
@media (max-width: 767px) {
  .notebook_app {
    padding-left: 0px;
    padding-right: 0px;
  }
}
#ipython-main-app {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook_panel {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook {
  font-size: 14px;
  line-height: 20px;
  overflow-y: hidden;
  overflow-x: auto;
  width: 100%;
  /* This spaces the page away from the edge of the notebook area */
  padding-top: 20px;
  margin: 0px;
  outline: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  min-height: 100%;
}
@media not print {
  #notebook-container {
    padding: 15px;
    background-color: #fff;
    min-height: 0;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
@media print {
  #notebook-container {
    width: 100%;
  }
}
div.ui-widget-content {
  border: 1px solid #ababab;
  outline: none;
}
pre.dialog {
  background-color: #f7f7f7;
  border: 1px solid #ddd;
  border-radius: 2px;
  padding: 0.4em;
  padding-left: 2em;
}
p.dialog {
  padding: 0.2em;
}
/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
 */
pre,
code,
kbd,
samp {
  white-space: pre-wrap;
}
#fonttest {
  font-family: monospace;
}
p {
  margin-bottom: 0;
}
.end_space {
  min-height: 100px;
  transition: height .2s ease;
}
.notebook_app > #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
@media not print {
  .notebook_app {
    background-color: #EEE;
  }
}
kbd {
  border-style: solid;
  border-width: 1px;
  box-shadow: none;
  margin: 2px;
  padding-left: 2px;
  padding-right: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
/* CSS for the cell toolbar */
.celltoolbar {
  border: thin solid #CFCFCF;
  border-bottom: none;
  background: #EEE;
  border-radius: 2px 2px 0px 0px;
  width: 100%;
  height: 29px;
  padding-right: 4px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
  display: -webkit-flex;
}
@media print {
  .celltoolbar {
    display: none;
  }
}
.ctb_hideshow {
  display: none;
  vertical-align: bottom;
}
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
   Cell toolbars are only shown when the ctb_global_show class is also set.
*/
.ctb_global_show .ctb_show.ctb_hideshow {
  display: block;
}
.ctb_global_show .ctb_show + .input_area,
.ctb_global_show .ctb_show + div.text_cell_input,
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border-top-right-radius: 0px;
  border-top-left-radius: 0px;
}
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border: 1px solid #cfcfcf;
}
.celltoolbar {
  font-size: 87%;
  padding-top: 3px;
}
.celltoolbar select {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  width: inherit;
  font-size: inherit;
  height: 22px;
  padding: 0px;
  display: inline-block;
}
.celltoolbar select:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.celltoolbar select::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.celltoolbar select:-ms-input-placeholder {
  color: #999;
}
.celltoolbar select::-webkit-input-placeholder {
  color: #999;
}
.celltoolbar select::-ms-expand {
  border: 0;
  background-color: transparent;
}
.celltoolbar select[disabled],
.celltoolbar select[readonly],
fieldset[disabled] .celltoolbar select {
  background-color: #eeeeee;
  opacity: 1;
}
.celltoolbar select[disabled],
fieldset[disabled] .celltoolbar select {
  cursor: not-allowed;
}
textarea.celltoolbar select {
  height: auto;
}
select.celltoolbar select {
  height: 30px;
  line-height: 30px;
}
textarea.celltoolbar select,
select[multiple].celltoolbar select {
  height: auto;
}
.celltoolbar label {
  margin-left: 5px;
  margin-right: 5px;
}
.completions {
  position: absolute;
  z-index: 110;
  overflow: hidden;
  border: 1px solid #ababab;
  border-radius: 2px;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  line-height: 1;
}
.completions select {
  background: white;
  outline: none;
  border: none;
  padding: 0px;
  margin: 0px;
  overflow: auto;
  font-family: monospace;
  font-size: 110%;
  color: #000;
  width: auto;
}
.completions select option.context {
  color: #286090;
}
#kernel_logo_widget {
  float: right !important;
  float: right;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
#menubar {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  margin-top: 1px;
}
#menubar .navbar {
  border-top: 1px;
  border-radius: 0px 0px 2px 2px;
  margin-bottom: 0px;
}
#menubar .navbar-toggle {
  float: left;
  padding-top: 7px;
  padding-bottom: 7px;
  border: none;
}
#menubar .navbar-collapse {
  clear: left;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
.dropdown-submenu:hover > .dropdown-menu {
  display: block;
}
.dropdown-submenu > a:after {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  display: block;
  content: "\f0da";
  float: right;
  color: #333333;
  margin-top: 2px;
  margin-right: -10px;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
.dropdown-submenu:hover > a:after {
  color: #262626;
}
.dropdown-submenu.pull-left {
  float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
  left: -100%;
  margin-left: 10px;
}
#notification_area {
  float: right !important;
  float: right;
  z-index: 10;
}
.indicator_area {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
#kernel_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  border-left: 1px solid;
}
#kernel_indicator .kernel_indicator_name {
  padding-left: 5px;
  padding-right: 5px;
}
#modal_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
#readonly-indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  margin-top: 2px;
  margin-bottom: 0px;
  margin-left: 0px;
  margin-right: 0px;
  display: none;
}
.modal_indicator:before {
  width: 1.28571429em;
  text-align: center;
}
.edit_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f040";
}
.edit_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: ' ';
}
.command_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f10c";
}
.kernel_idle_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f111";
}
.kernel_busy_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f1e2";
}
.kernel_dead_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f127";
}
.kernel_disconnected_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.pull-right {
  margin-left: .3em;
}
.notification_widget {
  color: #777;
  z-index: 10;
  background: rgba(240, 240, 240, 0.5);
  margin-right: 4px;
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget:focus,
.notification_widget.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.notification_widget:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active:hover,
.notification_widget.active:hover,
.open > .dropdown-toggle.notification_widget:hover,
.notification_widget:active:focus,
.notification_widget.active:focus,
.open > .dropdown-toggle.notification_widget:focus,
.notification_widget:active.focus,
.notification_widget.active.focus,
.open > .dropdown-toggle.notification_widget.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  background-image: none;
}
.notification_widget.disabled:hover,
.notification_widget[disabled]:hover,
fieldset[disabled] .notification_widget:hover,
.notification_widget.disabled:focus,
.notification_widget[disabled]:focus,
fieldset[disabled] .notification_widget:focus,
.notification_widget.disabled.focus,
.notification_widget[disabled].focus,
fieldset[disabled] .notification_widget.focus {
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget .badge {
  color: #fff;
  background-color: #333;
}
.notification_widget.warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning:focus,
.notification_widget.warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.notification_widget.warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active:hover,
.notification_widget.warning.active:hover,
.open > .dropdown-toggle.notification_widget.warning:hover,
.notification_widget.warning:active:focus,
.notification_widget.warning.active:focus,
.open > .dropdown-toggle.notification_widget.warning:focus,
.notification_widget.warning:active.focus,
.notification_widget.warning.active.focus,
.open > .dropdown-toggle.notification_widget.warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  background-image: none;
}
.notification_widget.warning.disabled:hover,
.notification_widget.warning[disabled]:hover,
fieldset[disabled] .notification_widget.warning:hover,
.notification_widget.warning.disabled:focus,
.notification_widget.warning[disabled]:focus,
fieldset[disabled] .notification_widget.warning:focus,
.notification_widget.warning.disabled.focus,
.notification_widget.warning[disabled].focus,
fieldset[disabled] .notification_widget.warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.notification_widget.success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success:focus,
.notification_widget.success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.notification_widget.success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active:hover,
.notification_widget.success.active:hover,
.open > .dropdown-toggle.notification_widget.success:hover,
.notification_widget.success:active:focus,
.notification_widget.success.active:focus,
.open > .dropdown-toggle.notification_widget.success:focus,
.notification_widget.success:active.focus,
.notification_widget.success.active.focus,
.open > .dropdown-toggle.notification_widget.success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  background-image: none;
}
.notification_widget.success.disabled:hover,
.notification_widget.success[disabled]:hover,
fieldset[disabled] .notification_widget.success:hover,
.notification_widget.success.disabled:focus,
.notification_widget.success[disabled]:focus,
fieldset[disabled] .notification_widget.success:focus,
.notification_widget.success.disabled.focus,
.notification_widget.success[disabled].focus,
fieldset[disabled] .notification_widget.success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.notification_widget.info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info:focus,
.notification_widget.info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.notification_widget.info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active:hover,
.notification_widget.info.active:hover,
.open > .dropdown-toggle.notification_widget.info:hover,
.notification_widget.info:active:focus,
.notification_widget.info.active:focus,
.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  background-image: none;
}
.notification_widget.info.disabled:hover,
.notification_widget.info[disabled]:hover,
fieldset[disabled] .notification_widget.info:hover,
.notification_widget.info.disabled:focus,
.notification_widget.info[disabled]:focus,
fieldset[disabled] .notification_widget.info:focus,
.notification_widget.info.disabled.focus,
.notification_widget.info[disabled].focus,
fieldset[disabled] .notification_widget.info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.notification_widget.danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger:focus,
.notification_widget.danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.notification_widget.danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active:hover,
.notification_widget.danger.active:hover,
.open > .dropdown-toggle.notification_widget.danger:hover,
.notification_widget.danger:active:focus,
.notification_widget.danger.active:focus,
.open > .dropdown-toggle.notification_widget.danger:focus,
.notification_widget.danger:active.focus,
.notification_widget.danger.active.focus,
.open > .dropdown-toggle.notification_widget.danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  background-image: none;
}
.notification_widget.danger.disabled:hover,
.notification_widget.danger[disabled]:hover,
fieldset[disabled] .notification_widget.danger:hover,
.notification_widget.danger.disabled:focus,
.notification_widget.danger[disabled]:focus,
fieldset[disabled] .notification_widget.danger:focus,
.notification_widget.danger.disabled.focus,
.notification_widget.danger[disabled].focus,
fieldset[disabled] .notification_widget.danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger .badge {
  color: #d9534f;
  background-color: #fff;
}
div#pager {
  background-color: #fff;
  font-size: 14px;
  line-height: 20px;
  overflow: hidden;
  display: none;
  position: fixed;
  bottom: 0px;
  width: 100%;
  max-height: 50%;
  padding-top: 8px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  /* Display over codemirror */
  z-index: 100;
  /* Hack which prevents jquery ui resizable from changing top. */
  top: auto !important;
}
div#pager pre {
  line-height: 1.21429em;
  color: #000;
  background-color: #f7f7f7;
  padding: 0.4em;
}
div#pager #pager-button-area {
  position: absolute;
  top: 8px;
  right: 20px;
}
div#pager #pager-contents {
  position: relative;
  overflow: auto;
  width: 100%;
  height: 100%;
}
div#pager #pager-contents #pager-container {
  position: relative;
  padding: 15px 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
div#pager .ui-resizable-handle {
  top: 0px;
  height: 8px;
  background: #f7f7f7;
  border-top: 1px solid #cfcfcf;
  border-bottom: 1px solid #cfcfcf;
  /* This injects handle bars (a short, wide = symbol) for 
        the resize handle. */
}
div#pager .ui-resizable-handle::after {
  content: '';
  top: 2px;
  left: 50%;
  height: 3px;
  width: 30px;
  margin-left: -15px;
  position: absolute;
  border-top: 1px solid #cfcfcf;
}
.quickhelp {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  line-height: 1.8em;
}
.shortcut_key {
  display: inline-block;
  width: 21ex;
  text-align: right;
  font-family: monospace;
}
.shortcut_descr {
  display: inline-block;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
span.save_widget {
  margin-top: 6px;
}
span.save_widget span.filename {
  height: 1em;
  line-height: 1em;
  padding: 3px;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
  }
  span.checkpoint_status,
  span.autosave_status {
    display: none;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  span.checkpoint_status {
    display: none;
  }
  span.autosave_status {
    font-size: x-small;
  }
}
.toolbar {
  padding: 0px;
  margin-left: -5px;
  margin-top: 2px;
  margin-bottom: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.toolbar select,
.toolbar label {
  width: auto;
  vertical-align: middle;
  margin-right: 2px;
  margin-bottom: 0px;
  display: inline;
  font-size: 92%;
  margin-left: 0.3em;
  margin-right: 0.3em;
  padding: 0px;
  padding-top: 3px;
}
.toolbar .btn {
  padding: 2px 8px;
}
.toolbar .btn-group {
  margin-top: 0px;
  margin-left: 5px;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
  min-height: 27px;
  margin-left: 0px;
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<p><h1 style="color:gray;text-align:center">WINE DATA SET</h1></p>
<p><h2 style="color:gray;text-align:center"><a href="http://archive.ics.uci.edu/ml/datasets/Wine">UCI Machine Learning Repository</a></h2></p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">from</span> <span class="nn">sklearn.decomposition</span> <span class="k">import</span> <span class="n">PCA</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
<span class="o">%</span><span class="k">matplotlib</span> inline
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">pca_results</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">pca</span><span class="p">):</span>
    <span class="c1"># Create labels for PCA components</span>
    <span class="n">dimensions</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Component </span><span class="si">%s</span><span class="s1">&#39;</span><span class="o">%</span><span class="p">(</span><span class="n">i</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="nb">len</span><span class="p">(</span><span class="n">pca</span><span class="o">.</span><span class="n">components_</span><span class="p">)</span><span class="o">+</span><span class="mi">1</span><span class="p">)]</span>
    
    <span class="n">components</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">pca</span><span class="o">.</span><span class="n">components_</span><span class="p">,</span> <span class="n">columns</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">columns</span><span class="p">)</span>
    <span class="n">components</span><span class="o">.</span><span class="n">index</span> <span class="o">=</span> <span class="n">dimensions</span>

    <span class="c1"># Create plot ready dataframe for PCA components and weights of features </span>
    <span class="n">ratios</span> <span class="o">=</span> <span class="n">pca</span><span class="o">.</span><span class="n">explained_variance_ratio_</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">pca</span><span class="o">.</span><span class="n">components_</span><span class="p">),</span> <span class="mi">1</span><span class="p">)</span>
    <span class="n">variance_ratios</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">ratios</span><span class="p">,</span> <span class="mi">4</span><span class="p">),</span> <span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Explained Variance&#39;</span><span class="p">])</span>
    <span class="n">variance_ratios</span><span class="o">.</span><span class="n">index</span> <span class="o">=</span> <span class="n">dimensions</span>

    <span class="c1"># Create a bar plot visualization</span>
    <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">18</span><span class="p">,</span><span class="mi">6</span><span class="p">))</span>
    
    <span class="c1"># Plot the feature weights as a function of the components</span>
    <span class="n">components</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ax</span> <span class="o">=</span> <span class="n">ax</span><span class="p">,</span> <span class="n">kind</span> <span class="o">=</span> <span class="s1">&#39;bar&#39;</span><span class="p">);</span>
    <span class="n">ax</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;lower center&#39;</span><span class="p">,</span> <span class="n">bbox_to_anchor</span><span class="o">=</span><span class="p">(</span><span class="mf">0.5</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.25</span><span class="p">),</span> <span class="n">ncol</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span> <span class="n">fancybox</span><span class="o">=</span><span class="kc">True</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">ax</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s2">&quot;Feature Weights&quot;</span><span class="p">)</span>
    <span class="n">ax</span><span class="o">.</span><span class="n">set_xticklabels</span><span class="p">(</span><span class="n">dimensions</span><span class="p">,</span> <span class="n">rotation</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>

    <span class="c1"># Show explained variance labels</span>
    <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">ev</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">pca</span><span class="o">.</span><span class="n">explained_variance_ratio_</span><span class="p">):</span>
        <span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="n">i</span><span class="o">-</span><span class="mf">0.30</span><span class="p">,</span> <span class="n">ax</span><span class="o">.</span><span class="n">get_ylim</span><span class="p">()[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mf">0.01</span><span class="p">,</span> <span class="s2">&quot;Explained Variance</span><span class="se">\n</span><span class="s2">          </span><span class="si">%.4f</span><span class="s2">&quot;</span><span class="o">%</span><span class="p">(</span><span class="n">ev</span><span class="p">))</span>

    <span class="k">return</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">variance_ratios</span><span class="p">,</span> <span class="n">components</span><span class="p">],</span> <span class="n">axis</span> <span class="o">=</span> <span class="mi">1</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;wine.data&#39;</span><span class="p">,</span><span class="n">header</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span><span class="n">names</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;Actual Label&quot;</span><span class="p">,</span><span class="s2">&quot;Alcohol&quot;</span><span class="p">,</span> <span class="s2">&quot;Malic acid&quot;</span><span class="p">,</span> <span class="s2">&quot;Ash&quot;</span><span class="p">,</span> <span class="s2">&quot;Alcalinity of ash&quot;</span><span class="p">,</span> <span class="s2">&quot;Magnesium&quot;</span><span class="p">,</span> <span class="s2">&quot;Total phenols&quot;</span><span class="p">,</span> <span class="s2">&quot;Flavanoids&quot;</span><span class="p">,</span> <span class="s2">&quot;Nonflavanoid phenols&quot;</span><span class="p">,</span> <span class="s2">&quot;Proanthocyanins&quot;</span><span class="p">,</span> <span class="s2">&quot;Color intensity&quot;</span><span class="p">,</span> <span class="s2">&quot;Hue&quot;</span><span class="p">,</span> <span class="s2">&quot;OD280/OD315 of diluted wines&quot;</span><span class="p">,</span> <span class="s2">&quot;Proline&quot;</span><span class="p">])</span>
<span class="n">df</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Actual Label</th>
      <th>Alcohol</th>
      <th>Malic acid</th>
      <th>Ash</th>
      <th>Alcalinity of ash</th>
      <th>Magnesium</th>
      <th>Total phenols</th>
      <th>Flavanoids</th>
      <th>Nonflavanoid phenols</th>
      <th>Proanthocyanins</th>
      <th>Color intensity</th>
      <th>Hue</th>
      <th>OD280/OD315 of diluted wines</th>
      <th>Proline</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>1</td>
      <td>14.23</td>
      <td>1.71</td>
      <td>2.43</td>
      <td>15.6</td>
      <td>127</td>
      <td>2.80</td>
      <td>3.06</td>
      <td>0.28</td>
      <td>2.29</td>
      <td>5.64</td>
      <td>1.04</td>
      <td>3.92</td>
      <td>1065</td>
    </tr>
    <tr>
      <th>1</th>
      <td>1</td>
      <td>13.20</td>
      <td>1.78</td>
      <td>2.14</td>
      <td>11.2</td>
      <td>100</td>
      <td>2.65</td>
      <td>2.76</td>
      <td>0.26</td>
      <td>1.28</td>
      <td>4.38</td>
      <td>1.05</td>
      <td>3.40</td>
      <td>1050</td>
    </tr>
    <tr>
      <th>2</th>
      <td>1</td>
      <td>13.16</td>
      <td>2.36</td>
      <td>2.67</td>
      <td>18.6</td>
      <td>101</td>
      <td>2.80</td>
      <td>3.24</td>
      <td>0.30</td>
      <td>2.81</td>
      <td>5.68</td>
      <td>1.03</td>
      <td>3.17</td>
      <td>1185</td>
    </tr>
    <tr>
      <th>3</th>
      <td>1</td>
      <td>14.37</td>
      <td>1.95</td>
      <td>2.50</td>
      <td>16.8</td>
      <td>113</td>
      <td>3.85</td>
      <td>3.49</td>
      <td>0.24</td>
      <td>2.18</td>
      <td>7.80</td>
      <td>0.86</td>
      <td>3.45</td>
      <td>1480</td>
    </tr>
    <tr>
      <th>4</th>
      <td>1</td>
      <td>13.24</td>
      <td>2.59</td>
      <td>2.87</td>
      <td>21.0</td>
      <td>118</td>
      <td>2.80</td>
      <td>2.69</td>
      <td>0.39</td>
      <td>1.82</td>
      <td>4.32</td>
      <td>1.04</td>
      <td>2.93</td>
      <td>735</td>
    </tr>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">shape</span>
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<pre>(178, 14)</pre>
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<h3 style="color:gray;text-align:center">Normalize data before PCA</h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_normalized</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">:]</span>
<span class="n">df_normalized</span> <span class="o">=</span> <span class="p">(</span><span class="n">df_normalized</span> <span class="o">-</span> <span class="n">df_normalized</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span><span class="o">/</span><span class="n">df_normalized</span><span class="o">.</span><span class="n">std</span><span class="p">()</span>
<span class="n">df_normalized</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Alcohol</th>
      <th>Malic acid</th>
      <th>Ash</th>
      <th>Alcalinity of ash</th>
      <th>Magnesium</th>
      <th>Total phenols</th>
      <th>Flavanoids</th>
      <th>Nonflavanoid phenols</th>
      <th>Proanthocyanins</th>
      <th>Color intensity</th>
      <th>Hue</th>
      <th>OD280/OD315 of diluted wines</th>
      <th>Proline</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>1.514341</td>
      <td>-0.560668</td>
      <td>0.231400</td>
      <td>-1.166303</td>
      <td>1.908522</td>
      <td>0.806722</td>
      <td>1.031908</td>
      <td>-0.657708</td>
      <td>1.221438</td>
      <td>0.251009</td>
      <td>0.361158</td>
      <td>1.842721</td>
      <td>1.010159</td>
    </tr>
    <tr>
      <th>1</th>
      <td>0.245597</td>
      <td>-0.498009</td>
      <td>-0.825667</td>
      <td>-2.483841</td>
      <td>0.018094</td>
      <td>0.567048</td>
      <td>0.731565</td>
      <td>-0.818411</td>
      <td>-0.543189</td>
      <td>-0.292496</td>
      <td>0.404908</td>
      <td>1.110317</td>
      <td>0.962526</td>
    </tr>
    <tr>
      <th>2</th>
      <td>0.196325</td>
      <td>0.021172</td>
      <td>1.106214</td>
      <td>-0.267982</td>
      <td>0.088110</td>
      <td>0.806722</td>
      <td>1.212114</td>
      <td>-0.497005</td>
      <td>2.129959</td>
      <td>0.268263</td>
      <td>0.317409</td>
      <td>0.786369</td>
      <td>1.391224</td>
    </tr>
    <tr>
      <th>3</th>
      <td>1.686791</td>
      <td>-0.345835</td>
      <td>0.486554</td>
      <td>-0.806975</td>
      <td>0.928300</td>
      <td>2.484437</td>
      <td>1.462399</td>
      <td>-0.979113</td>
      <td>1.029251</td>
      <td>1.182732</td>
      <td>-0.426341</td>
      <td>1.180741</td>
      <td>2.328007</td>
    </tr>
    <tr>
      <th>4</th>
      <td>0.294868</td>
      <td>0.227053</td>
      <td>1.835226</td>
      <td>0.450674</td>
      <td>1.278379</td>
      <td>0.806722</td>
      <td>0.661485</td>
      <td>0.226158</td>
      <td>0.400275</td>
      <td>-0.318377</td>
      <td>0.361158</td>
      <td>0.448336</td>
      <td>-0.037767</td>
    </tr>
  </tbody>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">covariance_df</span> <span class="o">=</span> <span class="n">PCA</span><span class="p">(</span><span class="n">n_components</span> <span class="o">=</span> <span class="mi">13</span><span class="p">,</span><span class="n">svd_solver</span><span class="o">=</span><span class="s1">&#39;full&#39;</span><span class="p">)</span>
<span class="n">covariance_df</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">)</span>
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<pre>PCA(copy=True, iterated_power=&#39;auto&#39;, n_components=13, random_state=None,
  svd_solver=&#39;full&#39;, tol=0.0, whiten=False)</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">cumu</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">cumsum</span><span class="p">(</span><span class="n">covariance_df</span><span class="o">.</span><span class="n">explained_variance_ratio_</span><span class="p">)</span>
<span class="n">cumu</span>
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<pre>array([0.36198848, 0.55406338, 0.66529969, 0.73598999, 0.80162293,
       0.85098116, 0.89336795, 0.92017544, 0.94239698, 0.96169717,
       0.97906553, 0.99204785, 1.        ])</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span><span class="mi">4</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;Variance Explained (%age)&#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;Number of Features&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;PCA Analysis - %age increment with feature, Cumulative&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">14</span><span class="p">,</span><span class="mf">1.0</span><span class="p">))</span>
<span class="k">for</span> <span class="n">i</span><span class="p">,</span><span class="n">j</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">14</span><span class="p">),</span><span class="n">cumu</span><span class="p">):</span>
    <span class="n">ax</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="nb">round</span><span class="p">(</span><span class="n">j</span><span class="p">,</span><span class="mi">2</span><span class="p">)),</span><span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="n">i</span><span class="o">+</span><span class="mf">0.02</span><span class="p">,</span><span class="n">j</span><span class="o">-</span><span class="mf">0.02</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="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">14</span><span class="p">),</span><span class="n">cumu</span><span class="p">)</span>
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<pre>[&lt;matplotlib.lines.Line2D at 0x29a7ff12da0&gt;]</pre>
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<div class="input">
<div class="prompt input_prompt">In&nbsp;[9]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">clf</span><span class="p">()</span>
<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span><span class="mi">5</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;Variance Explained (Total = 13)&#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;Number of Features&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;PCA Analysis&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">14</span><span class="p">,</span><span class="mf">1.0</span><span class="p">))</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span><span class="mf">5.1</span><span class="p">])</span>
<span class="n">plt</span><span class="o">.</span><span class="n">bar</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">14</span><span class="p">),</span><span class="n">covariance_df</span><span class="o">.</span><span class="n">explained_variance_</span><span class="p">)</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">ax</span><span class="o">.</span><span class="n">patches</span><span class="p">:</span>
    <span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="n">i</span><span class="o">.</span><span class="n">get_x</span><span class="p">()</span><span class="o">+</span><span class="mf">0.1</span><span class="p">,</span> <span class="n">i</span><span class="o">.</span><span class="n">get_height</span><span class="p">()</span><span class="o">+.</span><span class="mi">1</span><span class="p">,</span> \
            <span class="nb">str</span><span class="p">(</span><span class="nb">round</span><span class="p">(</span><span class="mi">100</span><span class="o">*</span><span class="n">i</span><span class="o">.</span><span class="n">get_height</span><span class="p">()</span><span class="o">/</span><span class="mi">13</span><span class="p">,</span><span class="mi">2</span><span class="p">))</span><span class="o">+</span><span class="s2">&quot;%&quot;</span><span class="p">,</span>\
            <span class="n">fontsize</span><span class="o">=</span><span class="mi">8</span><span class="p">,</span><span class="n">color</span><span class="o">=</span><span class="s1">&#39;red&#39;</span><span class="p">)</span>
</pre></div>

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<pre>&lt;Figure size 432x288 with 0 Axes&gt;</pre>
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<p style="color:gray;font-size:18px;">We note that by around <span class='code'>5</span>, the PCA components explain <span class='code'>80%</span> of the total variation in features. Next, we look at the weights of individual original features that combine to create a Principal Component.</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pca</span> <span class="o">=</span> <span class="n">PCA</span><span class="p">(</span><span class="n">n_components</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span><span class="n">svd_solver</span><span class="o">=</span><span class="s1">&#39;full&#39;</span><span class="p">)</span>
<span class="n">pca</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">)</span>
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<pre>PCA(copy=True, iterated_power=&#39;auto&#39;, n_components=5, random_state=None,
  svd_solver=&#39;full&#39;, tol=0.0, whiten=False)</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">display</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">pca</span><span class="o">.</span><span class="n">components_</span><span class="p">,</span><span class="n">columns</span><span class="o">=</span><span class="nb">list</span><span class="p">(</span><span class="n">df_normalized</span><span class="o">.</span><span class="n">columns</span><span class="p">)))</span>
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      <th></th>
      <th>Alcohol</th>
      <th>Malic acid</th>
      <th>Ash</th>
      <th>Alcalinity of ash</th>
      <th>Magnesium</th>
      <th>Total phenols</th>
      <th>Flavanoids</th>
      <th>Nonflavanoid phenols</th>
      <th>Proanthocyanins</th>
      <th>Color intensity</th>
      <th>Hue</th>
      <th>OD280/OD315 of diluted wines</th>
      <th>Proline</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>0.144329</td>
      <td>-0.245188</td>
      <td>-0.002051</td>
      <td>-0.239320</td>
      <td>0.141992</td>
      <td>0.394661</td>
      <td>0.422934</td>
      <td>-0.298533</td>
      <td>0.313429</td>
      <td>-0.088617</td>
      <td>0.296715</td>
      <td>0.376167</td>
      <td>0.286752</td>
    </tr>
    <tr>
      <th>1</th>
      <td>-0.483652</td>
      <td>-0.224931</td>
      <td>-0.316069</td>
      <td>0.010591</td>
      <td>-0.299634</td>
      <td>-0.065040</td>
      <td>0.003360</td>
      <td>-0.028779</td>
      <td>-0.039302</td>
      <td>-0.529996</td>
      <td>0.279235</td>
      <td>0.164496</td>
      <td>-0.364903</td>
    </tr>
    <tr>
      <th>2</th>
      <td>-0.207383</td>
      <td>0.089013</td>
      <td>0.626224</td>
      <td>0.612080</td>
      <td>0.130757</td>
      <td>0.146179</td>
      <td>0.150682</td>
      <td>0.170368</td>
      <td>0.149454</td>
      <td>-0.137306</td>
      <td>0.085222</td>
      <td>0.166005</td>
      <td>-0.126746</td>
    </tr>
    <tr>
      <th>3</th>
      <td>-0.017856</td>
      <td>0.536890</td>
      <td>-0.214176</td>
      <td>0.060859</td>
      <td>-0.351797</td>
      <td>0.198068</td>
      <td>0.152295</td>
      <td>-0.203301</td>
      <td>0.399057</td>
      <td>0.065926</td>
      <td>-0.427771</td>
      <td>0.184121</td>
      <td>-0.232071</td>
    </tr>
    <tr>
      <th>4</th>
      <td>-0.265664</td>
      <td>0.035214</td>
      <td>-0.143025</td>
      <td>0.066103</td>
      <td>0.727049</td>
      <td>-0.149318</td>
      <td>-0.109026</td>
      <td>-0.500703</td>
      <td>0.136860</td>
      <td>-0.076437</td>
      <td>-0.173615</td>
      <td>-0.101161</td>
      <td>-0.157869</td>
    </tr>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pca_results</span> <span class="o">=</span> <span class="n">pca_results</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">,</span> <span class="n">pca</span><span class="p">)</span>
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<p><h1 style="color:gray;text-align: center">NOTES</h1></p>
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<p style="font-size:18px;">Since these 5 components encompass a mix of features in each one of them, we will talk about the top 3 components and the feature-mix they represent.</p>
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<p style="font-size:16px;">PCA Component 1 has strong positive correlation with Flavanoids, Phenols and Hue, while having strong negative correlation with NonFlavanoid Phenols. Also, high Anthocyanins are typical characteristics responsible for flavouring in red wines. This can be interpreted as component indicating <b>color of wine</b></p> 
<p style="font-size:16px;">PCA Component 2 has strong negative correlation with Alcohol, Color Intensity and Proline, while having moderately positive with Hue and Diluted wines. High Proline and alcohol is related with bitterness and taste. However, proline contents varies in grapes from region to region. Let's interpret this component as <b>taste and origin of wine</b></span></p>
<p style="font-size:16px;">PCA Component 3 characterizes high positive weights on Ash content and Alkalinity and negative weight on Alcohol content. Usually, wines with high Ash content are not considered good. So, let's label this component as determinant of <b>quality of wine</b>.</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">scipy.cluster</span> <span class="k">import</span> <span class="n">hierarchy</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">z</span> <span class="o">=</span> <span class="n">hierarchy</span><span class="o">.</span><span class="n">linkage</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">,</span><span class="n">metric</span><span class="o">=</span><span class="s1">&#39;euclidean&#39;</span><span class="p">,</span><span class="n">method</span><span class="o">=</span><span class="s1">&#39;ward&#39;</span><span class="p">)</span>
<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span><span class="mi">8</span><span class="p">))</span>
<span class="n">clusters</span> <span class="o">=</span> <span class="n">hierarchy</span><span class="o">.</span><span class="n">dendrogram</span><span class="p">(</span><span class="n">z</span><span class="p">,</span> <span class="n">truncate_mode</span><span class="o">=</span><span class="s1">&#39;lastp&#39;</span><span class="p">,</span><span class="n">p</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span><span class="n">orientation</span><span class="o">=</span><span class="s1">&#39;left&#39;</span><span class="p">,</span><span class="n">leaf_font_size</span><span class="o">=</span><span class="mi">8</span><span class="p">,</span><span class="n">show_contracted</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Hierarchical Clustering Dendrogram - Ward&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;Cluster Size&#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;Distance&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">axvline</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="mi">13</span><span class="p">,</span><span class="n">linestyle</span><span class="o">=</span><span class="s1">&#39;:&#39;</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">&#39;yellow&#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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GkI/ELZJGlgdOvg3ZyZ+8u5CaqePICrgLPrNuoQTUmSNAQe1XQA0qLiYjwD4WAdPICIOBU4PjO/Wk5dDzykbqMmeJIkaQhsbToAaVFxMZ6BcLAOXkTcC7gYeOaU67Xr4JngSZIkSUPIxXia1Ueh813A6RExArwLuCAzb+65Pqs6eM7BkyRJQ+ApZZOkgdGtg/cM4OHAhRExGhHdMeebgMvrNmoPniRJGgJnNR2AGrZj3z7LJfRweObi11MH72uZua73WkScAHwvM2+v264JniRJGgIvbToANWjL+lmVC5Mal5kXHeb8LcB5s2nTBE+SJEkD7dwTT+TcE09sOoxFxd7MxS8iTgQ+CPw0sAY4ofd1Zk6U+94IPAy4NjNn/GuWc/AkSdIQeELZJGlgfJ9qfPlnD/OaiHgIcEwpgr48Ih4+U6P24EmSpCHw5KYDkBYd5yUubqW4+f6ImPZ18Sjg4+X448DPAp8/UrsmeJIkaQj8RtMBSIuK8xKHxnHAN8rx7cCDZnqDCZ4kSZI0ZJyX2Lw+6uD14wfA2nK8trw+IufgSZKkIXB22SRpqFzFoTowZ9MzP+9wTPAkSdIQeFbZJGkwRMSyiPg4sAH4aEQ8currzLyWal7eFUAnMz83U7sO0ZQkSUPghU0HcDeX3HQT23bvnvN2LWAtDYfMHOfuQw/uNhShn9IIvezBkyRJmgfbdu9mx759TYchaYmxB0+SJA2BzWU/2mAMd7dxzRpGTzttTtt02XtpeETEVuDyzPxiRJwPPD0zT4+IDcDjMvN1ddu0B0+SJA2B55VNkgZDRLSAR5fkbgXV3DsAMnMnsKncU4s9eJIkaQg8r+kApMbM13zP+TYxMcH4xAQT4+OMj48z2elAJtFq0W61WL58OSMjIyxbtoxWayj7pTYAN5bjXwPeCbym5/p1wEbg2jqNDuUnJUmSlprxsklLz6DO95yYmGByYoKx8XHGxsbuto1PTDAxMUGn02k61PnyAOCbEbEMODMzPzHl+vXAA+s2ag+eJEkaAj9X9qNNBiE1Zj7me+ro9FHovHvLc4Fth7medZ9rD54kSRoCv1Y2SRoYu4CTgVOAF0fER4AHRcRvlev3A75et1F78CRJ0hB4TtMBaIlYjPPdrI04sHYCJ2Xm07onIuLKzHxLeXkKsKNuo/bgSZKkIXBH2aT5Najz3bT4ZGYHuDIiTus5dzpAKZOwvdxTiz14kiRpCDyx7EebDEJLxGKb72ZtxMGVmRcd5vxOqh6+2kzwJEnSEHhx0wFIUi0RcTJwNfBvwFhmPi4i3gI8mGoFzRdm5mTddh2iKUmShsCzyiZJA+VfMnNzSe4eDizPzM3AV4AnzaZBe/AkSdIQuL3s79FoFFJTduzb51DNwfSYiLgCuBS4CfhSOb+Dqv7LB+o2aA+eJEkaAk8tm7T0bFm/3lU0B9N3gZ8EHgOcXV6fWa49FrjnbBq1B0+SJA2B3246AKkx5554IueeeGLTYWiKmQqdZ+YB4ABARHwQ+BHgyxHxSeDLwKzqcdiDJ0mShsDTyyZJgyEiju15+WjgG5n5msx8DHAb8KHZtGsPniRJGgK3lv3xjUaxUJxv1RyLimsOnRERf0TVi3cl8PmIGAUmgcsz8+rZNGqCJ0mShsAvlv1ok0EsiC3r1zcdgqQ5kJkfBj485fTmo23XBE+SJA2B3+nrrktuuoltu2c1raW2+erpcb5Vs+w51VyKiK3AMuDx5dQpVIU9rwJenpnn123TBE+SJA2BJ/d117bdux1iJ2lRiIgW8OjM/HngT8q5q4GPZ+a+iFgXEWszc0+ddk3wJEnSELi57O8z450b16xh9LTT5jcc7OnRwlvIHmrNiQ3Ajd0XEXF/YHdm7iunrqIqn3BpnUZN8CRJ0hD4pbIfbTIIqVHD0EO9f/9+9u7dy549exgfH2ey0wEgIshOh5Fly1i2bBnLly9nfHyc8fFxyKTdbrNi5Uqy02FsfByAZSMjtNptAohWi2XLlrF61SqOOeaYBn/Cu3gA8M2e108H3t/z+nrgIXUbNcGTJElD4BVNByAtCgvVQ62ZzVQHb5pbnsxd670EkHWfa4InSZKGwDlNByBJde0CTgeIiPsAY5l5W8/1+wFfr9uohc4lSdIQuKFskjQwdgInleOnAh+Ycn0TcHndRu3BkyRJQ+C5ZT/aZBBaIhZroflBn3+31GRmJyKujIjTMvNtvdci4gTge5l5e912TfAkSdIQ+N2mA9ASYaF5zaXMvOgw528BzptNmyZ4kiRpCJzddABaIhZzofnF2KuoIyuFzi8HHgz8CtAGng0cDzwuM19Xt03n4EmSpCFwfdkkaTB0C50DtwBnZuZZmbk5M7+TmTuBTeWeWuzBkyRJQ+AFZT/aZBBS4xbr/MDpTE5OVlunw+TEBJOdDplJK4J2u0273abVajEyUqUsExMTdMo9wMHjiKDVqvKg7nF7ZIR2a9H3ZXULnT8eaEfE5cBXgZdl5iRwHbARuLZOoyZ4kiRpCPxh0wFIjRuk+YGZyZ133snE5CSTExPcuX//oYQNaLfbrFy1ina7zUi7DREHEzwyyUz2799/MMFbsWJFleSVBG+k3eaYY44hoo9qdM3pFjpfDyzPzLMi4kKqFTUvpRqW8EBM8CRJ0tJzZtMBSI1bzPMDl6Iahc5vBz5Vjj8BPKzneu1C54u+31KSJGlmX2cW9YAlqUm7gJOB7cCp5dxG4D/K8awKnduDJ0mShsCLyn60ySAkqY6dwEmZuSMi7oyIUeBW4I3l+inAjrqNmuBJkqQh8NqmA5CkWqYUOt/aey0iNgDbM7NTt10TPEmSNAQ2NR2AJNV2hELnO6l6+GpzDp4kSRoCXy6bJA2OiNgaEWdExPaIuCIi3h6VDRFxwWzaNMGTJElD4DfLJkmDoafQ+Wczc1NmnlEuPcxC55IkaYl7XdMBTGuQik5Lc2Xfvn1MTE7epSh5wMEC5McccwytxV2fbqFsAG7MzPGecweAG8qxhc4lSdJS9fCmA7ibQSo6Lc2l1atXHyxKfjDBKwXI2+22yd0h3ULnRMRTqFaL2gXcVq5b6FySJC1V3ZXENzYaRS+LTktLW41C52TmZcBlEfEW4EnA+7HQuSRJWrpeVjZJGhi7gJMjYkXPuT3AneXYQueSJGmpelPTAUhSXTuBk4BzIuL8cu464GPl2ELnkiRpqVo8QzMlqR/dQufAtzPzzN5rR1Po3CGakiRpCHy+bJI0eCLilyPi8ogYjYj7ltO1kzuwB0+SJA2Fbj3g0SaDkKS+9dTB+wfgzMw8q+fydyLi1RHRqtuLZ4InSZKGwMVNByBJdW0AbgQeD7Qj4nLgq8DLMnMS6+BJkqSl62eaDkBaMJfcdBPbdu9uOoxZm5iYYO/evYyNjTExOQmlVl6r1WLZsmWMjIywb98+7rjzTibGx6taehG0Ili+fDlrjj2WdevW3aWe3p49e9h/4MCh+6lq742MjLB8xQrWrl27GOvvdevgrQeWZ+ZZEXEh8FTgUqyDJ0mSlq7tZb+p0SikhbBt92527NvHxjVrmg5lVkZGRrjnPe95xHuOO+64Wm2uXbuWtUcTVDO6GeftwKfK8SeAh/Vcr10HzwRPGhCXXALbtjUdhSQtTm9606sAeNnLRo943459P8HGv/r3BYhIml8b16xh9LTTmg5DR9BHf+Eu4HTgb4AXlnMbgf8ox/cD3l33uSZ40oDYtg127ICNrgQuSXfz+te/rekQJKmuncBJmbkjIu6MiFHgVuCN5bp18KRht3EjjI42HYUkLUan9HXX5i/ae6fFb6Y5doM8PFOHdOvgRcRpmbm199rR1MEzwZMkSUOgO33lzCPeJQ2CQZ9jp/5l5kWHOb+TqoevNhM8SZI0BP6g7EebDEKaM0eaY7f5i19c4Gg0XyJiK3AF1bDMSeCazDwvItYDL8/M8+u22ZrjGCVJkhrwt2WTpMHQU+j8W8BjM/MM4ISIeHBm7gbWRUTtxUHtwZMkSUPg/k0HIC2oHfv22ZM3+DYAN2bmzT3nJqh68gCuAs6mqonXNxM8SZI0BD5e9mc3GoW0ELasX990CJob3ULnAETEqcDxmfnVcup64CF1GzXBkyRJQ+B/lb0JnubOTKtZzpeZFlg598QTOffEExcwIs1GH3XwDt4SEfcCLgaeOeV67ULnzsGTJElD4P+UTZo73dUspXmyCzg5IkaAdwEXTBmueT/g63UbtQdPkiQNgZOaDkBD6kirWc4X59YtGTup/uP1DODhwIURAfDKzLwK2AS8pG6jJniSJGkIfKTsz2k0CknqV7fQOfC1zFzXey0iTgC+l5m3123XBE+SJA2BPy17EzxJg+MIhc5vAc6bTZsmeJIkaQi8u+kAJKm2Uuj8cuDBwK8AbeDZwPHA4zLzdXXbdJEVSZI0BO5TNkkaDD2Fzm8BzszMszJzc2Z+JzN3ApvKPbXYgydJkobAP5X9kxuNQporS6WQ+f79+5mYmGCy04FMkqo2QKvVot1us3LlSlqtQznOgbExxsfG6HQ6ZLmfTMbHx0lgZGTk4P3jY2N0MokIli9fDjO03YANwI3A44F2RFwOfBV4WWZOAtcBG4Fr6zRqgidJkobA68veBG+pm8vadTPVo5svS6mQ+cjISJXUTU4eTNYigmi1GGm3KatKHtRut8mRESZ77gcO3tdqtw8Wl4vlyw8meCPt9sH7ugleNJvcwaFC5+uB5Zl5VkRcCDwVuJSq0PkDMcGTJElLz/uaDkCLRLd2XROJ2VyxkPlwqFHo/HbgU+X4E8DDeq7XLnRugidJkobA8U0HoEVkrmrXLYUhkmrULuB04G+AF5ZzG4H/KMf3YxYrSJngSZKkIXBp2T+90SgkqYadwEmZuSMi7oyIUeBW4I3l+inAjrqNmuBJkqQh8Odlb4InaTB0C51HxGmZubX3WkRsALZnZqduuyZ4kiRpCHyg6QAkabaWR8R2YBK4JjPPA26mWnyltsaXjpEkSTp69yibJA2Gnjp43wIem5lnACdExIMzczewLiLW1m3XBE+SJA2B95RNkgbGBuDGzLw5M/eXcxNUPXkAVwFn123UIZqSJGkI/GXZP6vRKDR8lkrBcTWiWwcPgIg4FTg+M79aTl0PPKRuoyZ4kiRpCHy46QA0hJZSwXE14mCpvIi4F3Ax8Mwp162DJ0mSlqLVTQegIWTBcR2NPgqd7wJOj4gR4F3ABZl5c8/1+wFfr/tc5+BJkqQh8K6ySdLA2AmcBDwDeDhwYUSMRsSjyvVNwOV1G7UHT5IkDYG/LvvnNBqFJPWrWwcP+Fpmruu9FhEnAN/LzNvrtmuCJ0mShsC/NB2AJNWWmRcd5vwtwHmzadMET5IkDYFlTQcgSbVFxFaq/4A9vpw6BXgxVYmEl2fm+XXbNMGTJElD4B1l/7wZ73TZ++G2Y98+Nq5Z03QY0oy6hc4z8+eBPynnrgY+npn7ImJdRKzNzD112jXBkyRJQ+AdZf+8I97lsvdaai656Sa27d7ddBgAdDodJicnyUyIoNVqMdJu13p/p9Ohk1XlgHarRbRatOLQepUJZKdTPQOI8pxFagNwY/dFRNwf2J2Z+8qpbqHzS+s0aoInSZKGwGhfd7ns/fCzd/autu3e3Xiv5h133MH3br2VsQMH6HQ6JFUJgYhgZNkyjjvuOO51z3se9v179+5l37593HHHHUx0E0SoEsSREY5ds4bVq1czPj7O2NjYXZ5BBO12m1UrV7Jm8fXs3qXQOfB04P09ry10LkmSJOmuNq5Zw+hppzUdxpLTRx28qbc8mSrJ671eu9D5ou2vlCRJ6t9flU2SBsYu4GSAiLgPMJaZt/Vct9C5JElaqt5TNkkaGN1C5wBPBT4w5bqFziVJ0lL18aYDkA6ryYVOmp5/p8PrFjqPiNMy8229146m0Lk9eJIkSdI86i50Ik2VmRdl5t1WBsrMWzLTQueSJGmp+ouy/41Go5AOp6mFTlxVdHErhc6vAN4ITALXZOZ5EbGeWRY6twdPkiQNgX8qmyQNhm6hc+BbwGMz8wzghIh4cGbuBtZFxNq67dqDJ0mShsA/Nx2AtGjt2LfPnrzFaQNwY2be3HNugqonDyx0LkmSJKnXlvXrmw5Bh3eXQucRcSpwfGZ+tZyy0LkkSVqq3lyoFJzkAAAgAElEQVT2L200CmmxOffEEzn3xBObDmNJqlPoPCLuBVwMPHPKdQudS5KkpehyZlEuSpKatAs4OSJGgHcBF0wZrjmrQuf24EmSpCFwWdMBaBFZbHPOrEWnw+gWOn8G8HDgwogAeGVmXkVV6PwldRs1wZMkSdLQcM6ZBkW30Dnwtcxc13vtaAqdm+BJkqQhcFHZb200CjVvMc45W0y9iVpcMvOiw5y/BZhVoXPn4EmSpCFwVdkkaXBExNaIeGREbI+IKyLijeX8+oh4w2zaNMGTJElD4B/LJkmDwULnkiRJkhbEJTfdxLbdu5sOY9jNS6Fze/AkSdIQ+NOySZoL23bvZse+fU2HMez6KXT+wLqN2oMnSZKGwI6mA5CGzsY1axg97bSmwxhYTRU6N8GTJElD4N1NByBJde0CTrfQuSRJkjRgFlvx9ZlYnH1BWOhckiRpen9U9r/XaBTSdCy+rulY6FySJOmwao9ikhbMYiy+PpNB6m0cVBFxIrAF+F8RsQZ4KPBGqlU0r8nM8yJiI/Cm8pYfA96cmW+atsHCBE+SJA2BdzUdgCTV9X3gLOD95XW3Ht7+iPj7Ug9vB7AZICI+AHxwpkZN8CRJkiTdzaDNGxw0mbkf2F/m3XGEenhExDHAfTLz32dq1wRPkiQNgd8v+9c0GoU0LJw32Jxp6uEBPAH4SD/vN8GTJElD4IamA5CGyiDOG1xs+qiDd/f3TF8PD+DngT/rpw0TPEmSNATe3nQAknRUDlcPLyKWAT+VmTv7accET5IkSZIWWEnc/hnYAHwU+DTT18N7LPCJfts1wZMkSUPglWX/J41GIUn9ysxx4Owpp/9wmvs+SpUA9sUET5IkDYHbmg5AkhYFEzxJkjQELmk6AEmqLSK2AlcBrwKOAW6nWmDlgcDjMvN1ddtszWmEkiRJkqQZRUQLeDSwHrg6MzcDnwPOKQuqbCr31GIPniRJGgJby/6iRqOQFqVLLoFt2xb8sQlMTEwwOTFBJxMyAYgIWq0qb8nMu19rt2m3WnQ6HSY7HbLnevfeaLUOlSGIoN1q0R4ZYaTdZnJysnpup8PkxASTk5N0MokI2u02IyMjd7m/QRuAG4FvAA8t547j0Jjz64CNwLV1GjXBkyRJQ+DOpgOQFq9t22DHDti4cUEfOzk5yf477zyYYPUmcQl0JicZGRmZNsHLTodWq8Xk5CQJkEkCYwcOkMCykRHa3eSsJ8E7ZvVq9u/fXyV4k5PcuX8/nd4Er9Vi5cqVVZJX7i8rVjbhAcA3qRK5R0bEV4BbgJeX69dTDdU0wZMkSUvNW5sOQFrcNm6E0dEFfeQIcOyCPrFyTAPPnNbMiWP3hl8BPpqZrytz8p4D/F25nnUf6xw8SZIkSVp4u4CTqRK575dztwL3KMf3A75et1F78CRJ0hB4Wdm/qdEopCNqaC5cE8Mz1ZedwEnA7wHviYjnAuPAs8r1U4AddRs1wZMkSZIWQkNz4bQ4ZWYnIq4E7peZj++9FhEbgO2Z2anbrgmeJEkaAvbcaUA0MBeOzZsX9nnqW2ZOu/RvKZOwczZtOgdPkiRJkhoQEVsj4oyI2B4RV0TE26OyISIumE2bJniSJGkIvKRskjQYegqdfzYzN2XmGeXSwyx0LkmSlrhVTQcgLW47diyJoZr7Dxxgf0/tu65WKXK+ctUqVixf3mCEd7EBuDEzx3vOHQBuKMcWOpckSUvVtNNYJAFs2dJ0BAtmxYoVtNttOpOTZCmOHlQF1NvtNu2RRZX+dAudExFPAV5LVTrhtnLdQueSJElSo45UCqGpFTTPPbfaloAAljUdRFf/hc7JzMuAyyLiLcCTgPdjoXNJkrR0nVs2qWHdUgjSzHYBJ0fEip5ze4A7y7GFziVJ0lJ176YDkA45XCmEJTAHTrV0C52fExHnl3PXAR8rxxY6lyRJS9WfNB2AJNXSU+j825l5Zu81C51LkiRJ0mBaHhHbgUngmsw8D7gZWD+bxpyDJ0mShsDzyyZJg6GnDt63gMeWOngnRMSDM3M3sC4i1tZt1wRPkiQNgZPKJkkDo1sH7+bM3F/OTVD15AFcBZxdt9ElN0TzSCvXSotZUysrS9JgeE3TAUj9WSIFx9WXg3XwACLiVOD4zPxqOXU98JC6jS65BK+7cq3/UJYkSVoCFvqv+0f6h+YSKjiuvhysgxcR9wIuBp455XrtOnhLLsGDw69cKy1m/rFPko7kOWX/rkaj0CK0mP66v4QKjot+Cp3vAk6PiBGq/3hdkJk391y3Dp4kSVqqTmk6AC1mC/nXff8iq/516+A9A3g4cGFUSeErM/MqYBPwkrqNmuBJkqQh8HtNByBJtfTUwftaZq7rvRYRJwDfy8zb67ZrgidJkiRJDcjMiw5z/hbgvNm0aZkESZI0BH6pbJI0OCJia0Q8OiI+FBGjEfGBiFgRERsi4oLZtGmCJ0mShsDGsknSYOgpdL4euDozNwOfA87JzJ3ApnJPLQ7RlCRJQ+AVTQcgHWKtu6OSwOTEBJ1Oh8yqSkCn02FiYuLg9QCi1WJkZITly5bRah3KgzKTiYkJxicmmJycJDsdOp0ORDAyMkK73abVatFutWi328TMq13Olw3AjcA3gIeWc8cBt5Xj66j+cnVtnUZN8CRJkqS5Yq27o5LAvr17GR8fP5jgjY+Ps++HPzyY4C1btoxWBBFBu91m1erV3Oue92RkZIROp8PevXvZt28fY+PjdCYnOTA2RqfTIYB2u83KVatYtWoVy0ZGaI+MsPbYY5tK8rqFzq8DHhkRXwFuAV5erl8PPBATPEmStPT8Qtn/Y6NRSNa6OzoBHHsU728B9yhb42ZOGrs3/Arw0cx8XURspSrs+XfMstC5c/AkSdIQeFTZJGlg7AJOpkrkvl/O3cqh/NRC55Ikaana2nQAklRXt9D57wHviYjnAuPAs8r1U4AddRs1wZMkSZKkBdZT6Px+mfn43msRsQHYnpmduu2a4EmSpCHwlLK/rNEoVNMll8C2bfP7jB07YKMlNLQ4HaHQ+U6qHr7anIMnSZKGwFll00DZtq1KwKQlqhQ6f2REbI+IKyLijeX8+oh4w2zatAdPkiQNgZc2HYBma+NGGB2dv/atR6dFqqfQ+buAx2bm/oj4+4h4cGb+a0Ssi4i1mbmnTrsmeJIkSZKObCGG0y49G4AbM/PmnnMTwGQ5vgo4G7i0TqMO0ZQkSUPgCWWTNC8cTjsfuoXOAYiIU4HjM/Or5VS30Hkt9uBJkqQh8OSmA5CG33wPpx02/Rc6JyLuBVwMPHPK9dqFzvtK8CLidOABmfn2iFgHrMnM/6j7MEmSpPnxG00HIEl17QJOj4gRqnl4F0wZrjk/hc4j4g+Ah1EV2ns7sKwE8Oi6D5MkSZK0QOZy3pzlJuZDt9D5M4CHAxdG1ev3ysy8CtgEvKRuo/304P08cBpwLUBm3hQRx9Z9kCRJ0vw5u+w/3mgU0qLSnTdnYrYo9RQ6/1pmruu9FhEnAN/LzNvrtttPgjeWmRkRWR52TN2HSJIkza9nNR2AtDjN1bw5y03Mp+URsZ1q9cxrMvM8Zjn/DvpbRfO9EfE24LiIeCHVn8b+ejYPkyRJmh8vLJskDYaeOnjfoqqDdwZwQqmDtxtYFxFr67Y7Yw9eZl4UET8H7KGah/f7mfkvdR8kSZIkSTpoXurg9bPIyu8B7+hN6iLi3My8pM6DJEmS5s/msh9tMAZpyO3Y4VDNudVPHbyH1G20nyGavwV8NCIe03Pu1+s+SJIkaf48r2yS5sWWLS7WMvemq4P3q1Ouz0sdvO8ATwX+b0S8LzNf1xuMJElS857XdABazJZqz9NcrqB57rnVpv7NXOh8Xurg9dODR2Z+GzgT+OmI+L/AqroPkiRJmj/jZZOmsOdJi9d0dfBGI+JR5fom4PK6jfbTg3cNQGbuB54fES8BHlr3QZIkSfPn58p+tMkgtBgt5Z6npdhrOUAaq4OXmS+c8vqtwFvrPkiSJGn+/FrTAUhSbZl50WHO3wKcN5s2D5vgRcR7M/OZEfGvTDO5LzNPnc0DJUmS5t5zmg5AkmqLiK3A1cCFVOUR/h14AXAq8Liy/kktR+rBe2nZP6luo5IkSQvrjrJf3WgUktSvnkLnb87MTeXc24GHZebnI+LVEdHKzE6ddg+b4GXmd8v+W+Vh9wb+K/DtzPzCLH8OSZKkefDEsh9tMgj145JLYNu26nguV3nU9IZoBdEEstOhkwlZDTCMCFqtFjHzipWLUbfQee8KUQeAG8rxdcBG4No6jR5piOYHgVdk5pcj4r+Uhq8BfjwiLsnMN9V5kCRJ0vx5cdMBqF/btpnYLZQtW5qOYM5MTE6yd88exsfH757gtdusWrmSNWvWNBxlbQcLnUfEU4DXUpVOuK1cvx54IHOV4AH3y8wvl+PnA/+Smb8cEccCnwFM8CRJ0iLxrKYDUB0bN8Lo6ND0LC1aQ7SC6Ahwz6aDqGvmXsWDN2TmZcBlEfEWqily72eWhc6PVAevt6vwLODD5eF7gVrjQCVJkubX7WWTpIGxCzg5Ilb0nNsD3FmOZ1Xo/Eg9eDdExG8BNwIPAT4CEBGrgGV1HyRJkjR/nlr2o00GIUl1dAudnxMR55dz1wEfK8enADvqNnqkBO9XgdcAZwPPyswflPM/C7y97oMkSZLmz283HYAk1dJT6PzbmXlm77WI2ABsr7uCJhx5Fc1bgF+f5vwngU/WfZAkSdL8eXrTAUhSbUcodL6TqoevtiPNwZMkSRoQt5ZNkgZHRGyNiNMiYndEjEbEx8r59RHxhtm0aYInSZKGwC+WTZIGQ0+h8/+kqliwOTMfB5CZu4F1EbG2brtHmoNHRLSB387MN84iZkmSpAXyO00HIA2m3sLzi9D4+Djj4+NMdjpkHqoY0Gq1DtYQGBsbY2J8nE6nTFeLoN1qsXz5clasWMHyFStoLc5C6BuoFrQEeExEXAFc2pN7XUW1HsqldRo9Yg9eZk5yaFkqSZKkRerJZZNUS7fw/CKVZaMUN8+efafn+LBbw/HPoFvo/LvATwKPAc6OiFPL9W6h81qO2INXfCYiLgbeA/ywezIza1VUlyRJmj83l/19Go1CGkjdwvOL0PKyHcmahQhkNvosdJ6ZB4AD1Vvig8DPAF9iloXO+0nwNpX9a3rOJfDYug+TJEmaH79U9qNNBiFJdewCTo+IYzNzbzn3aOAt5XjOC50DkJmPqduoJEnSwnpF0wFI82c+58nt2FH14KkJ3ULnZ0TEH1H14l2ZmVeX65uAl9RtdMYELyLWA68FTszMJ0TETwOPysy/qfswSZKk+XFO0wFI86c7T85EbKj0FDr/bmY+tPdaRJwAfC8zb6/bbj9DNN8BvB34n+X1Lqr5eCZ4kiRpkbih7E9qNApp3szXPLnNm+e+Tc1KRJwPPD0zTwf+C3DTbNrppw7e8Zn5XqADkJkTwORsHiZJkjQ/nls2SRoM3Tp4mfnFiFhBVTYBgMzcCWwq99TSzxt+GBH3pqzgEhE/C9TuKpQkSZo/v1s2SRoYvXXwfg1455Tr1wG1x+X2M0TzfOAy4Mcj4jPAOuAZdR8kSZI0f85uOgBpcO3YsWiHak5MTrJ3796DhczHJyY4cOAAnU6HAEaWLWPVypVEBO12m9WrV7Nq1aqmw+7XA4BvRsQy4MzMfGtE9FYu6NbBq1Werp8E7yvAmcApVLUYvk5/PX+SJEkL5Pqyv3+jUUgDZ8uWpiM4opF2m+OOO45Op0N2OgeLnncyiQii1JqLCNqt1sHXA6Ib7HOB6ZZJnbc6eFdl5kOoEr3qSRHXAg+p+zBJkqT58YKyH20yCM3GIu49WjTmcwXNc8+ttkUsgHbTQczGzMnmLuB04ARgY0T8OvCgiPitzHwLVR28d9d97GETvIi4D3BfYFVEnMahDHMtsLrugyRJkubPHzYdgGZjkfceSfNsJ3BSZj6teyIirizJHVQjKHfUbfRIPXiPB54H/Ajweg4leHuBV9V9kCRJ0vw5s+kANBsD0Hu0KNjDOZS6dfAi4rTM/GI5dzpARGwAtmdmp267h03wMvOdwDsj4hcy8x9nG7gkSdL8+3rZn7Jwj7zkkqoAteqxYLd0UGZedJjzO6l6+GrrZ7GUH4mItVH564i4NiIeN5uHSZIkzY8XlW0BbdtWJSuSNEsRsTUiHhkR2yPiioh4Yzm/PiLeMJs2+1lk5QWZ+eaIeDzVBMDnA28HPjabB0qSJM291zbz2I0bYXS0mWcPKocbSsChQufAu4DHZub+iPj7iHhwZv5rRKyLiLWZuadOu/0keN25d08E3p6ZO2PA1h+VJEnDblPTAUjzy9VGh9EG4MbMvLnn3AQwWY6voiryeWmdRvtJ8L4QER+jWqbzlRFxLFB7sp8kSdL8+XLZ/0yjUUjzwtVGh9UDgG92X0TEqcDxmfnVcup6ZlGarp8E71eBjcD1mXlHRNybapimJEnSIvGbZT/aZBDS/HC10cE086DHgzdExL2Ai4FnTrk+L4XOTy/7Ux2ZKUmSFqfXNR2AJNW1Czg9Ikao5uFdMGW45v04tERw3/pJ8C7oOV4JPAL4AvDYug+TJEmaHw9vOgBJqmsncBLwDKr/iF1YOtRemZlXUU0ufkndRmdM8DLzyb2vI+Ik4M/qPkiSJGn+dMsVWF9N0mDoFjoHvpaZ63qvRcQJwPcy8/a67fbTgzfVjTiDWZIkLSovK/vRJoOQpFqOUOj8FuC82bQ5Y4IXEW/h0OS+FtWfxmZVVV2SJGl+vKnpACSptojYClwOfAT4N2AsMx8XEeuBl2fm+XXb7KcH75qe4wngHzLzM3UfJEmSNH8cmilpsPQUOn8f8C+Z+ZzutczcPW+FzjPznbWjlSRJWlCfL3sXW9ESccklsG1b01HMi8nJSSYmJpjsdMhMyIQIWq0W7XabZSMjzLS6/8TEBOPj44yNjTE5OUknqwGJ7VaL9sgIy5cvZ9myZbRbrYX4kQ5nA9X0N4DHRMQVwKWZ+cZybm4LnUfEvzJ93YUAMjNPrfMgSZKk+dNd9Hu0ySCkhbNtG+zYARuHr/d6bHyc8fFxOpOTZCZJlYB0E7xWq8VIu33Y9ycwNjbG/v372b9//6FEsaeN7HQIoL1ixUL8SIfTLXT+XeAngQPAByLi8sz8EvNQ6PxJswhSkiSpARc3HYC08DZuhNHRpqOYc6vKNlsBrC5bo/osdJ6ZB6iSOyLig1QLWn6JWRY6P1Kf5DLgRzLzW70b8KPMbvVNSZKkefIzuMi3pAGzCzg5Io7tOfdo4BvleM4Lnb8JeNU05+8s1548zTVJkqQGbC/7TY1GId3NfM2VG9LhmUtMt9D5GRHxR1S9eFdm5tXl+pwXOj+5jP28i8y8JiJOrvsgSZKk+dP9m/Rok0FIdzfEc+V0dHoKnX83Mx/ae22+Cp2vPMK1oxkWK0mSNMfe1nQA0uHNx1y5zZvntj01Yj4KnR9pDt7nI+KFU09GxK8CX5jNwyRJkubHKWWTpMEREVsj4rRyfH7p0SMiNkTEBUd+9/SO1IP3MuD9EfFsDiV0DwOWAz8/m4dJkiTNj0+V/ZmNRiFJ/eoWOs/MiyJiBVVdPAAyc2dEvDoiWpnZqdPuYRO8zNwNbIqIx3BoWaoPZeYnZhG/JEnSPPqDsh9tMghpYe3YMZRDNff98IeMj40x2elATx28TqfD+Pg4y5cvJyIOno8IWu02K1asYPWqgZpJ1lvo/NeAdwKv6bl+HbARuLZOozOWO8jMTwKfrNOoJEnSwvrbpgOQFtaWLU1HMG+OWb2aiRUr6PQUKIeqSHkAmUmn53xE0G61aI8MXCW3BwDfjIhlwJmZ+daI6E3wrgceyFwneJIkSYvf/ZsOQHUMac/TtOZrBc1zz622IRRUBbkHXp+FzoHnAtPV0pjzQueSJEkD4uNl06K3ZYslA6TKLuBkqhWiXhwRHwEeFBG/Va7PeaFzSZKkAfG/yv7sRqNQH4a452laS6WnUrOxEzgpM5/WPRERV2bmW8rLU4AddRs1wZMkSUPg/zQdgCTV0i10HhGnZeYXy7nToSqTAGyvu4ImOERTkiQNhZPKJkkDZ3VEXBsR+yNiBKoyCcB9IuKKiHgz9F8bzx48aYAspTnpklTHIx7xEQA+97lzFu6hO97E6MaXLdzzJA2Vbh084GLgLOD9PdceAhyTmWdExF9GxMMz8/P91MYzwZMGxBCvhixJR23Llj8FFjjBk/rlX2g1vQ3AjZm5H9gfd11181EcWjnq48DPAp+nj9p4JnjSgFhqc9IlqZ53AzA6uoCP3GzvnfowhH+hnZycZM/evYwdOMDExMTBdfxbEYwsW8aqlStZc+yxBDA2Ps6+vXsZGxtjcnKSzGSy02FsbAyAkZERlo2MQAStVovly5ax+phjDhYsn5icZO+ePRwYG2NyYqKqixdBZ3KSiYkJWq0Wy5YtO1gv744772RsbIxOp8PkxERVLB0O3rd27VqOWb36Ls9o0AOAbx7m2nHAN8rx7cCDyvGMtfFM8CRJ0hC4T9MBSNMbwr/QtoF79nnvcuBeR/GskRrPWnT6r4M3nR8Aa8vx2vK6+54j1sZzkRVJkjQE/qlskjQwunXwpnMV1bw8qOq/fLYcz1gbzwRPkiQNgdeXTZIGxk7gpIhYFhEfp5qT99GIeGRmXks1L+8KoJOZnyvvmbE2nkM0JUnSEHhf0wFIUi3dOnjAz2Tm2dNcf2nv635r45ngSZKkIXB80wFIUm2ZeVGNe3dS9fodkUM0JUnSELi0bJI0OCJia0ScERHbS1Hzt0elr6Lm0zHBkyRJQ+DPyyZJg6Gn0PlnM3NTZp5RLj2s9NZtKvfU4hBNSZI0BD7QdADS4nDJJbBtW9NRzJlOJpMTE3Q6nYO1AYKqrl17ZITWzKUIFrNuofPxnnMHgBvK8YxFzadjD54kSRoC9yibtMRt2wY7jrjI4sDITPbt3cveffvYu29fdTzldbfA+YA6WOg8Ip4SEV8GTgBuK9e7Rc1rsQdPkiQNgfeU/bMajUJaFDZuhNHRpqM4asGhSt8DqUah88y8DLgsIt4CPAl4P30UNZ+OPXiSJGkI/GXZJGlg7AJOjogVPef2AHeW4xmLmk/HHjxJkjQEPtx0AJJU107gJOCciDi/nLsO+Fg5nrGo+XRM8CRJ0hBY3XQA0vzqd/GUHTuqIZpa9HoKnX87M8/svdZvUfPpmOBJkqQh8K6yf06jUUjzprt4isnbUDlcofN+i5pPxwRPkiQNgb8uexM8DbF+Fk/ZvHkhItEciIhzgFeUl6cAvw2cDzwY2JiZ/z6bdk3wJEnSEPiXpgOQpFoy8yPARwAi4upy/GngwqNp1wRPkiQNgWVNByAtHjt22JM3QCLi/sDuzNwL7I2jLN5ugidJkobAO8r+eQ3GIC0CW7Y0HYHqezpV3bs5YYInSZKGwDvK/nkNxiAV/a54WUe/C6yce261qXn998Q9mSrJmxMWOpckSUNgtGzSItBd8VKaQUTcBxjLzNvmqk178CRJkqS51s+Kl3U4p25YPRX4QPdFRLwXOB14QET8WWZ+4LDvPAwTPEmSNAT+quxf2GgUklRHZr5tyutnHm2bDtGUJElD4D1lk6TBEBHnRMRo2b4bEb8YEdsj4lMRcVlErJpNuyZ4kiRpCHy8bJI0GDLzI5m5OTM3A9+mKuh5emaeCXwBeNJs2nWIpiRJkiQ1pKcO3u09p9vAdbNpzwRPkiQNgb8o+99oNAppXlnAfFgdrIMXEY+g+g/afuD1s2nMBE+SJA2Bfyr7BU7w/Ae3ptNvzbo6LGA+zA7WwcvMzwEPi4jfAV4AvLFuYyZ4kqT/3979x9lV13cef33unUmkktiyELFt9oF2EfpQyGCku0ZYoiKrfdRKXX+0echjqXVHXXUFGh613R9t7baVQtUWXC3btbi1KfpQXKm7Wi06rTGICkzE+iPYFEsqCbRuSfiRZObez/5xz53chEkyZ2Yy554zr+fjcR7nzjn3fu9nPByZD99zzltqgE8t/Vf6B7eWkgHm9TOHoPPBHLyIWJGZB4tde+ldplmaDZ4kSdJ8+Ae3jsZZXc3dYA7eWERcC3SB7wOXzWdAGzxJktQAv1es31ZpFZJUxmAOXnF55kULHdOYBEmS1AC3FYskLW82eJIkqQFuLRZJqoeI+OGIuCsi9kfESET8yyLo/AsR8e7iPaMRcXtEPBIR/2Iu49rgSZIkSdLS+z7wIuBLxc/fBV6YmRcCayLiHGAauBT46FwH9R48SZLUANcV682VViHNMEJDx5GZ+4H9UTxtMzN3D+yeBjqZmcCemMMTOfts8CRJUgPcXnUB0iFGaGgBIuJc4NTM/MZ8Pm+DJ0mSGuBjVRcgHWKEhmBOOXhP/EicAtwAvHq+X+s9eJIkSZJUsYgYAT4EXH3E5Zql2OBJkqQGeGexSFI9FE/I/AtgHfDnwH8CzgeuiYiJiHhe8b6PAJcAH4yIlx9vXC/RlCRJDTBZdQGSVEpmTgEXH7H512d5X6nLNW3wJElSA9xcdQGSNBS8RFOSJEmSKhARmyPivIjYU1yW+Zli+1Mj4l3zGdMGT5IkNcBvFIsk1UNEtIDnA/8P+GxmbszMSwAycw9wWkSsLjuul2hKkqQG+HbVBUi1cOOdN7Llni1Vl8H09DQHDx6k0+nQy/Lubet0OgCMjIzQbrcBaLVatFotVq5cObPtSJ1OZ2a8brc7sz0iaLfbjI6OMjo6eoJ/q9LWAbuK1y+IiC8At2Tmu4ttt9O7R++WMoM6gydJkhrgQ8Ui6Vi23LOFyd3VP5QoIp6wtFqtWbf33192vMHPD6kzgfuAB4BnAi8ALi6CzgF2AmeXHdQZPEmSJGkZGTt9jInLJ6ouo/Hi54/bXAZAZh4ADgBExCeBZwNfK/Zn2e91Bk+SJDXAfy0WSaqNHcAZEbFqYNvzgb8pXj+deQycZegAABtiSURBVFx/7gyeJElqgPurLkCq3Fzur5vcPcnY6WNLVJGOYzuwFrgwIn6D3ize1sy8o9i/AXhz2UFt8CRJUgP8UdUFSJXr319nA1cPmdmNiK3AA5m5fnBfRKwBHsrMh8uOa4MnSZIkNcTx7q/beNPGJatFc7YiIrYBHeCrmXkl87z/DrwHT5IkNcIvF4sk1cNADt53gRdm5oXAmog4ZyE5eDZ4kiSpAf6xWCSpNtYBuzJzd2buL7ZN05vJg0M5eKV4iaYkSWqAG6suQKqNyd2TXqo5HPo5eAAU+XenZuY3ik07geeUHdQGT5IkSVomNp2zqeoSdMhMUF5EnALcALz6iP2l78OzwZMkSQ2wuVhfV2kV0nzNJeLgeObyBM3x9eOMrx9f0PdobuYQdL4DuCAiRoAPAVdn5u6B/fPKwfMePEmS1ACPF4tUT/2IAy0r/Ry8VwHnA9dExEREPK/YvwG4reygzuBJkqQGeG/VBUgLdryIg+Pxvrp6GcjB+1Zmnja4zxw8SZIkSaqZzJz1uvLMfBC4cj5jeommJElqgCuKRZLqIyI2R8R5xeurihk9ImJdRFw9nzFt8CRJkiRpifWDzjPz7ohYSS8XD4DM3A5sKN5TipdoSpKkBnhP1QVIQ6GpGXeZSWYS0XsyZX893zHm8/kTYB2wq3j9euCDwDsG9t8LjAF3lRnUBk+SJElLZjHiAJpoLhEHx9O0jLtOp8PevXs5ePAg3W6XzF4kXEQwMjLCSSedxMknn3zMMR5//HEeffRRpqamZj4P0Gq1WLFiBatWrWJ0dPSE/h7HcCZwX0SMAhdl5nsjYrDB2wmcjQ2eJElaft5crH2a5rDrxwEstJnRE5lxN1zmkIPXf8NlwGz/1cOgc0mStFydVHUBKmGhcQBN1MTLKnVcO4ALgDXAWES8EXhWRLw1M6+nF3R+c9lBbfAkSVIDzPqkcUkaZtuBtZl5aX9DRGwtmjuAs4DJsoP6FE1JkiRJWmKZ2QW29mMSim0XQC8mAdhWvKcUZ/AkSVID9O87urHSKiSpjGMEnW+nN8NXmjN4kiSpAf5ZsUhSPUTESETcHBGfj4jfKba9OCI+FxETEbF+PuM6gydJkhrgt6suQJLK+hlge2b+dkRcX1yW+QbgxZnZme+gNniSJEnSEGhqSLmO6hnA14rXk8DzgS7wqYjYA7wxMx8tO6iXaEqSpAb4+WKR6mnTOZvMBlx+vg1cVLx+AfAU4GnAS4Ft9GbzSnMGT5IkNcDaqguQFsSQ8uaZQ9D5nwEviojbgPuAh4GtmdmJiM8Bm+fzvTZ4kiSpAd5RdQGVu/HOG9lyz5aqyziuyd2TzlRJQHGf3VsBIuJGeg1fPwNvDPjb+YzrJZqSJEkNsOWeLUzuLp2JLKkiEfEjxdMyP0cv8+5+4C8j4q/oXXP+/vmM6wyeJElqgNcW6w9VWkXVxk4fY+LyiarLOCYfIiL1ZObfAxuP2PZu4N0LGdcGT5IkNcBZVRcgSUPBBk+SJDXAf6m6AEkqLSI2A3cA1wAd4DvA64BzgUsy89qyY3oPniRJkiQtsYho0cu++1JmbsjMC4tdz83M7cCG4j2lOIMnSZIa4GeL9c2VViEtlro8FXUxdbtd9u3bR6fTodvtkpkARAStVouRkRFWr15dcZWLah2wKzOnBrYdAO4vXt9L72mad5UZ1AZPkiQ1gI/dV7P0n4q6nCIlWq0Wq1evPqzBi4iZfe12u+IKF92Z9PLviIifBn4L2AH8Y7F/J3A2NniSJGn5eXvVBUiLrg5PRdXRzSHofOYNmXkrcGtEXA/8FPDxYn+W/V7vwZMkSZKkpbcDOCMiVg5s2ws8Xrx+OvDtsoM6gydJkhrg3xbrj1VaheZmcvekeXjHsdwuz1ymtgNrgZdExFXFtnuBzxSvzwImyw5qgydJkhrgeVUXoDnadM6mqkuQhkJmdiNiK/B3mXnR4L6IWAdsy8xu2XFt8CRJUgNsrroAzdH4+nHG149XXcbQc4ZzWTk5IrZxeA4eQOnmDrwHT5IkSZKWnDl4kiRJR/XTxfrWSquQFpP3KjaeOXiSJEmze1HVBUiLynsVZ7dv3z7279/P1NTUYUHo7XablStXsnr1alqt2lykaA6eJEnS7N5WdQHSovJexfozB0+SJEmSlg9z8CRJkmb30mL9qUqrkKQSzMGTJEma3cuqLkCSSjEHT5Ik6aj+Q9UFSFJpmXndUbZvpzfDV5r34EmSJElSBSJic0RcGBHbIuILEfFH0bMuIq6ez5g2eJIkqQEuLhZJqgeDziVJko7qNYsyyo133siWe7YsylhLbXL3JGOnj1Vdhmqo6n/uM5Pp6Wm63e5Mth1Aq9Wi3W7Tbrcrq+0EOyFB587gSZKkBvj3xbIwW+7ZwuTu0g+tk2qt6n/uH3vsMR599NGjLp1Op7LaTrDDgs4j4uvAGp4YdF6KM3iSJEkDxk4fY+LyiarLKG3jTRurLkE1Vtd/7oeZQeeSJEnztrFYJKk2DDqXJEma3eVVFyBJZRl0LkmSNLvLqy5AmpeqH3ACPqCnKgadS5IkHVX/IXSjlVYhldV/wIkN1vJ0IoLObfAkSVIDvLhYT1RZhDQvVT/gxAf0VCciNgO3ZebdxWWar8jMC4oZvEsy89qyY/qQFUmS1ACvLxZJqod+0HnR3K2kl4sHzMzgGXQuSZKWq9dWXYBUa5O7J2s3k/fYY4+xd+9epqam6HYP3arWarUYGRnh5JNPZtWqVRVWeFzrgF3F69cDHwTeMbB/XkHnNniSJKkBHivWP1BpFVIdbTpnU9UlzMuTnvQkgJkGLzOJCCKC0dHRmf1D7EzgvogYBS7KzPdGxGCD1w86t8GTJEnLzU8W64kqi5BqaXz9OOPrx6suo3FKBJ1fBsz2KFWDziVJ0nL1pmKRpNrYAZxBL+/uTRHxaeBZEfHWYr9B55Ikabl6TdUFSIeZa76dEQnL2nZgbWZe2t8QEVsz8/rix3kFnTuDJ0mSGuDhYpGGQz/fTjqaIsR8a0ScN7DtAjDoXJIkLXsvL9YTVRYhHWYu+XZ1e3KlTogVEbEN6ABfzcwrgd3AU+czmDN4kiSpAf5jsUhSPfRz8IDvAi/MzAuBNRFxTmbuAU6LiNVlx3UGT5IkNcArqi5AkspaB+zKzN0D26bpzeQB3A5cDNxSZlAbPEmS1AD/UKxPrbQKqQnm+oAYLdiZwH39HyLiXODUzPxGsWkn8Jyyg3qJpiRJaoBXFoukhfIBMUtmJigvIk4BbgB+4Yj9pXPwnMGTJEkN8ItVFyA1ylweEKNjm0PQ+Q7ggogYAT4EXH3E5ZrzysFzBk+SJDXAy4pFkmpjO7AWeBVwPnBNRExExPOK/RuA28oO6gyeJElqgP5/9D690iqk+ZjcPTlUcQmGry+NzOxGxFbgW5l52uC+iFgDPJSZpQM+bfAkSVID/GyxnqiyCKm0TedsqroEVSgzrzvK9geBK+czpg2eJElqgLdXXcBQGLaZoOVsrrNg4+vHGV8/vgQVzZ3/DC2diNgM3JaZd0fEVcArMvOCiFgHXJKZ15Yd0wZPkiQ1wEuqLqByzgRJ9dIPOs/M6yJiJb1cPAAyc3tE/FpEtDKzW2ZcGzxJktQA9xfrtZVWUaVhnAlazuo+C1bVbHC326Xb7ZJ5KB2g1WrRbrcX9TNDYh2wq3j9euCDwDsG9t8LjAF3lRnUBk+SJDXAZcV6osoipEaoajZ43759HDx4cNZmbWRkhNWrV9NqtUp9ZtWqVcPc6J0J3BcRo8BFmfneiBhs8HYCZ2ODJ0mSlp//XHUBUmM4G7w45pCD13/DZcCWo+wvHXRuDp4kSWqAi4tFkmpjB3AGcBbwpoj4NPCsiHhrsX9eQefO4EmSpAbYWayfUWkVklTCdmBtZl7a3xARWzPz+uLHs4DJsoM6gydJkhrgdcUiSfVQPB1za0ScN7DtAoAiJmFb2SdogjN4kiSpEX696gIkqbRjBJ1vpzfDV5ozeJIkqQEuKhZJqo+I2BwR50XEnoiYiIjPFNufGhHvms+Yy3IGb3ISNm6sugpJkrRY1q7tPYfg/vvPWtA4k7vfw9jbr1iMkiTpmPpB58BHgc9m5mv7+zJzT0ScFhGrM3NvmXGXXYO3qZpYD0mSdAL94i++AYArrpiothBpQFVh4U0zPT3NwYMH6XQ6dLuHbkmLCNrtNu12m263S6fT4eDBg0xNTc28r5+Ht3LlStrtNitWrGBkZGhaoMGg8xdExBeAWzLz3cW22+k9HviWMoMOzW+3VMbHe4skSWqS3wJgYmJho2y8ydk7LY6qwsKbqNVq0Wq1yEwiYmY92OBF9CLlRkZGyMwnNHj9MY4MSq/YmcB9wAPAM4EDwCci4rbM/Bq9xwM/p+ygy67BkyRJTbSh6gKkwxgWrrkGnWfmAXrNHRHxSeDZwNcw6FySJC1fXy8WSaqNHcAZEbFqYNvzgb8pXs8r6NwGT5IkNcBbikWSamM7sBa4MCLujIhtwPcy845i/wbgtrKDeommJElqgGurLkCSSsnMbkRsBR7IzPWD+yJiDfBQZj5cdlxn8CRJUgOcXyySVE8RcVXR8AE8DfjefMaxwZMkSQ0wWSySVA/9HLzMvDsiVtKLTQAgM7cDG4r3lGKDJ0mSGuCKYpGk2hjMwXs98MEj9t8LjJUd1HvwJElSA7yn6gKkoXDjnTey5Z4tVZexYFNTU+zbt4+pqSkycyb7DuDAgQO02+2ZzDs4FHq+cuVKVq9eXWXpZZwJ3BcRo8BFmfneiHjHwP6dwNnAXWUGtcGTJEkNUPo/ckuNtOWeLUzunmTs9HqfE6Ojo5xyyimHhZZDr5Hrh5V3u93DGrwhCzGfi35Q3mXAbF35vHLwbPAkSVIDfKVY+6AVaez0MSYun6i6jGVvDkHnO4ALgDXAWES8EXhWRLw1M6+nl4N3c9nvtcGTJEkNcHWxnqiyCEkqYzuwNjMv7W+IiK1FcwdwFvN4epQNniRJaoAbqi5ADVan+9qacHnmctHPwYuI8zLz7mLbBQARsQ7YlpndYw4yCxs8SZLUAM+uugA1WFPua9PwyczrjrJ9O70ZvtJs8CRJUgNsK9YbKq1CzVWX+9o23rSx6hJUQkRsBm4rsvCuAl6RmRcUM3iXZOa1Zces3aNmJEmSnuhXikWS6uFEBZ07gydJkhrgD6ouQBoak7snh24mbzDqAFiUSIN+Pt5ijrnEZgs6H8zB6wedm4MnSZKWm7OqLkAaCpvO2VR1CTMyk71793LgwAE6nc7M9n5mXT+UvB9gPlf79u1j//79dDqdwxq8drvNihUrWLVqFe12e9F+jxPIoHNJkqTZ/WWxvqjSKqSqja8fZ3z9eNVliDnl4J2QoPPazWNKkiQ90a8WiyTVxg7gDHqXILwpIj5NEXRe7H868O2ygzqDJ0mSGuADVRcgSWUZdC5JkjS7Z1RdgIbQYgWUm4GnE8Ggc0mSpKP6i2J9caVVaLgYUK5hZ9C5JEnSrP5bsbbB0+EWI6B82CIH1BxF0Pko8G+KTWcBbwJuB34pM68qO6YNniRJaoA/rroASSplIOj8Z4DfLrbdAfxFZj4SEadFxOrM3FtmXBs8SZLUAGurLkAaaot1P+JiOHjwIJ1Oh263O5Nj18/G62fZ9XU6Haampp6QeddqtQ77eXp6munpabrdLhExs+6POzo6SqvVotVqMTIywujo6NL9wkc3GHRORDwD2JOZjxSbbqd3WcItZQa1wZMkSQ3w6WL9kkqrkIbVsNyPmJl0Op2ZZqy/rd+IDf4M0O126XQ6Mw1ef19/e7+Jm5qaYmpqaqbpm56ept1uHzZuu92eeT0kDd6ZwH0DP78C+PjAzzuB55Qd1AZPkiQ1wDuLtQ2edDSLcT+i5q5E0Hnfy+g1eYP7Swed2+BJkqQGuLnqAiSprB1APxbhdOBgZv7jwH6DziVJ0nJ1etUFqOEmd0/W+mmaw3B5pp5gO4duIH458Ikj9m8A3lx2UBs8SZLUAH9WrF9WaRVqpk3nbKq6BDXQEUHnfzC4LyLWAA9l5sNlx7XBkyRJDfC7xdoGT4tvfP044+vHqy5jQeo8+9hkxwg6fxC4cj5j2uBJkqQG+OiijVT3S/F0iJclatgVQed3ANcAHeA7wOuAc4FLMvPasmO2FrVCSZKkSpxaLAuz6ZxNNgSSlkQ/6Bz4UmZuyMwLi13PzcztwIbiPaU4gydJkhqgnwP8imO+63iacCmeDnEm9nB1np3eu3cvU1NTs4ajj4yMsGrVqpmMuxpZB+zKzKmBbQeA+4vX9wJjwF1lBrXBkyRJDfD7xXphDZ7UVHV/UMzq1avpdDqzNnitVmsmGL1mZoLOI+Kngd+iF53Qj0rYCZyNDZ4kSVp+jny6uKRBzk4vvTJB55l5K3BrRFwP/BTwceYZdF67eUxJkqQnekqxSFJt7ADOiIiVA9v2Ao8Xrw06lyRJy9WHi/VrKq1CkkroB52/JCKuKrbdC3ymeH0WMFl2UBs8SZLUAO8r1jZ4kuqhH3QO/F1mXjS4LyLWAdsys1t2XBs8SZLUAP+36gIkab5WRMQ2ejl4X83MK4HdwFPnM5j34EmSpAb4gWKRpHoYyMH7LvDCIgdvTUSck5l7gNMiYnXZcZ3BkyRJDfChYv3aSqvQ8Klz9psar5+Dt3tg2zS9mTyA24GLORT0OSc2eJIkqQH+sFjb4OmQume/qfFmcvAAIuJc4NTM/EaxaSfwnLKD2uBJkqQG+GzVBWgImf2mKpXJwYuIU4AbgFcfsd8cPEmStByNFosk1UY/B2+E3nXmVx9xuea8cvBs8CRJUgPcVCySVBv9HLxXAecD10TEREQ8r9i/Abit7KBeoilJkhrgpmJ9eYU1SNLcDeTgfSszTxvcFxFrgIcy8+Gy40Zm6cs6jz9oxEP0HvdZR6cC/1B1EVoQj2H9eQzrz2NYbx6/+vMY1p/HsP7OysxVS/2lJ2QG78gOtE4i4quZ+dyq69D8eQzrz2NYfx7DevP41Z/HsP48hvUXEV+t4nu9B0+SJEmSGsIGT5IkSZIawgbviW6sugAtmMew/jyG9ecxrDePX/15DOvPY1h/lRzDE/KQFUmSJEnS0nMGT5IkSZIaYtk2eBHxpIj4ckRsj4i/johfL7bfFBF/GxGTxTJWda2a3TGO4dMj4o6IuDciPhwRK6quVbOLiLUR8fmI+GZxDN9WbP+1iPj7gfPwJ6uuVbM7xjE8JSI+W5yHn42IH6q6Vs0uIj4QEQ9GxNcHtnkO1shRjqHnYI1FxH0RcU9x/lXyJEYtTES8JCK+HRHfiYi3L+l3L9dLNCMigCdn5iMRMQpsBd4GvBH4ZGZ+tNICdVzHOIZXAbdk5s0R8X5ge2a+r8paNbuIeBrwtMy8KyJWAXcClwKvBh7JzOsqLVDHdYxjeDnw/cx8Z/Evth/KzF+qsFQdRUT8a+AR4H9l5rOLbb+G52BtHOUY/g6eg7UVEfcBz81Mc/BqKCLawA7gxcAu4CvAz2XmN5bi+5ftDF72PFL8OFosy7PbraljHMMXAv0G/YP0/tjUEMrMBzLzruL1PuCbwI9UW5XKOMYxfDm98w88D4daZv4V8P2q69D8HeUYeg5K1fkJ4DuZuTMzDwI30zsnl8SybfCg111HxCTwIPDZzLyj2PWbEfG1iHh3RKyssEQdx5HHEPgb4J8yc7p4yy5sGGohIs4AzgP65+FbivPwA15aVA9HHMOnZuYD0GsCgTXVVaZ58hysN8/BekvgMxFxZ0SMV12MSvsR4P6Bn5f079Fl3eBlZiczx4AfBX4iIp4N/DJwNnA+cArg5QxD7MhjCPz4bG9b2qpUVkScDHwMuCIz9wLvA34MGAMeAH63wvI0B7McQ9Wb56BUredn5nOAlwJvLi7DVX3ELNuW7O/RZd3g9WXmPwETwEuKy40yMw8Af0SvadCQGziG/wr4wYgYKXb9KPC9qurS8RX3T34M+JPMvAUgM/cUzXsX+B94Hg612Y4hsKe4P69/n96DVdWn8jwHG8FzsMYy83vF+kHg43gO1s0uYO3Az0v69+iybfAi4rSI+MHi9UnAxcC3Bv7PMOhdr/71o4+iKh3lGH4T+DzwyuJt/w74RDUV6niK8+x/At/MzHcNbH/awNt+Bs/DoXW0YwjcSu/8A8/D2vEcbATPwZqKiCcXD60iIp4MXILnYN18BTizeLL7CuBn6Z2TS2I5P0XzXHo3HbfpNbofycx3RMTngNPoTa1OAm8ceJCHhsgxjuEz6N3MegpwN/DaYkZWQyYiLgC+ANwDdIvNvwL8HL1LwxK4D3hD/14SDZdjHMM7gI8A/xz4O+BVmemDPIZQRPwpsBE4FdgD/Grxs+dgTRzlGP5vPAdrqfg75uPFjyPAlsz8zQpL0jwU8TLvofd36geW8hgu2wZPkiRJkppm2V6iKUmSJElNY4MnSZIkSQ1hgydJkiRJDWGDJ0mSJEkNYYMnSZIkSQ1hgydJqlxEdCJiMiL+OiK2R8RVEdEq9j03In7/GJ89IyI2LV21kiQNL2MSJEmVi4hHMvPk4vUaYAvwxcz81Tl8diOwOTN/6sRWKUnS8HMGT5I0VDLzQWAceEv0bIyITwJExEXFTN9kRNwdEauAdwIXFtuuLGb0vhARdxXLhuKzGyNiIiI+GhHfiog/iYgo9p0fEduK2cMvR8SqiGhHxLUR8ZWI+FpEvKGq/00kSZqrkaoLkCTpSJm5s7hEc80RuzYDb87ML0bEycB+4O0MzOBFxA8AL87M/RFxJvCnwHOLz58HPAv4HvBF4PkR8WXgw8BrMvMrEbEaeBz4BeDhzDw/IlYCX4yIz2Tm357I312SpIWwwZMkDauYZdsXgXdFxJ8At2TmrmISbtAocENEjAEd4JkD+76cmbsAImISOAN4GHggM78CkJl7i/2XAOdGxCuLzz4FOBOwwZMkDS0bPEnS0ImIZ9Brzh4Efry/PTPfGRH/B/hJ4EsRcfEsH78S2AOso3crwv6BfQcGXnfo/XswgNluSA/grZn55wv4VSRJWlLegydJGioRcRrwfuCGPOJJYBHxY5l5T2ZeA3wVOBvYB6waeNtT6M3IdYHLgPZxvvJbwA9HxPnFd6yKiBHgz4E3RcRosf2ZEfHkhf+GkiSdOM7gSZKGwUnFJZOjwDTwx8C7ZnnfFRHxAnqzb98APgV0gemI2A7cBPx34GMR8Srg88Cjx/rizDwYEa8Bro+Ik+jdf3cx8If0LuG8q3gYy0PApQv8PSVJOqGMSZAkSZKkhvASTUmSJElqCBs8SZIkSWoIGzxJkiRJaggbPEmSJElqCBs8SZIkSWoIGzxJkiRJaggbPEmSJElqCBs8SZIkSWqI/w+Zf6X/HUrnyQAAAABJRU5ErkJggg==
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<div class="prompt input_prompt">In&nbsp;[16]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">sklearn.cluster</span> <span class="k">import</span> <span class="n">KMeans</span>

<span class="n">sse</span> <span class="o">=</span> <span class="p">{}</span>
<span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">10</span><span class="p">):</span>
    <span class="n">kmeans</span> <span class="o">=</span> <span class="n">KMeans</span><span class="p">(</span><span class="n">n_clusters</span><span class="o">=</span><span class="n">k</span><span class="p">,</span> <span class="n">max_iter</span><span class="o">=</span><span class="mi">1000</span><span class="p">)</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">)</span>
    <span class="n">df_normalized</span><span class="p">[</span><span class="s2">&quot;clusters&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">kmeans</span><span class="o">.</span><span class="n">labels_</span>
    <span class="n">sse</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="n">kmeans</span><span class="o">.</span><span class="n">inertia_</span>

<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span><span class="mi">4</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="nb">list</span><span class="p">(</span><span class="n">sse</span><span class="o">.</span><span class="n">keys</span><span class="p">()),</span> <span class="nb">list</span><span class="p">(</span><span class="n">sse</span><span class="o">.</span><span class="n">values</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;SCREE PLOT&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s2">&quot;Number of cluster&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">&quot;SSE&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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
"
>
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</div>

</div>
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</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[17]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_normalized</span> <span class="o">=</span> <span class="n">df_normalized</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
<span class="n">df_normalized</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
</pre></div>

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<div class="output">


<div class="output_area">

<div class="prompt output_prompt">Out[17]:</div>


<div class="output_html rendered_html output_subarea output_execute_result">
<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

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

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Alcohol</th>
      <th>Malic acid</th>
      <th>Ash</th>
      <th>Alcalinity of ash</th>
      <th>Magnesium</th>
      <th>Total phenols</th>
      <th>Flavanoids</th>
      <th>Nonflavanoid phenols</th>
      <th>Proanthocyanins</th>
      <th>Color intensity</th>
      <th>Hue</th>
      <th>OD280/OD315 of diluted wines</th>
      <th>Proline</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>1.514341</td>
      <td>-0.560668</td>
      <td>0.231400</td>
      <td>-1.166303</td>
      <td>1.908522</td>
      <td>0.806722</td>
      <td>1.031908</td>
      <td>-0.657708</td>
      <td>1.221438</td>
      <td>0.251009</td>
      <td>0.361158</td>
      <td>1.842721</td>
      <td>1.010159</td>
    </tr>
    <tr>
      <th>1</th>
      <td>0.245597</td>
      <td>-0.498009</td>
      <td>-0.825667</td>
      <td>-2.483841</td>
      <td>0.018094</td>
      <td>0.567048</td>
      <td>0.731565</td>
      <td>-0.818411</td>
      <td>-0.543189</td>
      <td>-0.292496</td>
      <td>0.404908</td>
      <td>1.110317</td>
      <td>0.962526</td>
    </tr>
    <tr>
      <th>2</th>
      <td>0.196325</td>
      <td>0.021172</td>
      <td>1.106214</td>
      <td>-0.267982</td>
      <td>0.088110</td>
      <td>0.806722</td>
      <td>1.212114</td>
      <td>-0.497005</td>
      <td>2.129959</td>
      <td>0.268263</td>
      <td>0.317409</td>
      <td>0.786369</td>
      <td>1.391224</td>
    </tr>
    <tr>
      <th>3</th>
      <td>1.686791</td>
      <td>-0.345835</td>
      <td>0.486554</td>
      <td>-0.806975</td>
      <td>0.928300</td>
      <td>2.484437</td>
      <td>1.462399</td>
      <td>-0.979113</td>
      <td>1.029251</td>
      <td>1.182732</td>
      <td>-0.426341</td>
      <td>1.180741</td>
      <td>2.328007</td>
    </tr>
    <tr>
      <th>4</th>
      <td>0.294868</td>
      <td>0.227053</td>
      <td>1.835226</td>
      <td>0.450674</td>
      <td>1.278379</td>
      <td>0.806722</td>
      <td>0.661485</td>
      <td>0.226158</td>
      <td>0.400275</td>
      <td>-0.318377</td>
      <td>0.361158</td>
      <td>0.448336</td>
      <td>-0.037767</td>
    </tr>
  </tbody>
</table>
</div>
</div>

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<div class="cell border-box-sizing code_cell rendered">
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<div class="prompt input_prompt">In&nbsp;[18]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">kmeans</span> <span class="o">=</span> <span class="n">KMeans</span><span class="p">(</span><span class="n">n_clusters</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">max_iter</span><span class="o">=</span><span class="mi">1000</span><span class="p">)</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">)</span>
<span class="n">df_normalized</span><span class="p">[</span><span class="s2">&quot;kmeans_clusters&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">kmeans</span><span class="o">.</span><span class="n">labels_</span>
</pre></div>

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<div class="prompt input_prompt">In&nbsp;[19]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_normalized</span><span class="p">[</span><span class="s1">&#39;hierarchical_clusters&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">hierarchy</span><span class="o">.</span><span class="n">fcluster</span><span class="p">(</span><span class="n">z</span><span class="p">,</span><span class="mi">13</span><span class="p">,</span><span class="n">criterion</span><span class="o">=</span><span class="s1">&#39;distance&#39;</span><span class="p">)</span>
</pre></div>

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<div class="prompt input_prompt">In&nbsp;[20]:</div>
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    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_normalized</span><span class="p">[</span><span class="s1">&#39;Actual_label&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;Actual Label&#39;</span><span class="p">]</span>
</pre></div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">18</span><span class="p">,</span><span class="mi">6</span><span class="p">))</span>
<span class="n">ax</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">nrows</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">ncols</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>

<span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">df_normalized</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">0</span><span class="p">],</span><span class="n">df_normalized</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">],</span> <span class="n">c</span><span class="o">=</span><span class="n">df_normalized</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">&#39;rainbow&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Actual Labels&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="s1">&#39;1&#39;</span><span class="p">,</span><span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">[</span><span class="n">df_normalized</span><span class="p">[</span><span class="s1">&#39;Actual_label&#39;</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">iloc</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]),</span>\
                             <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">[</span><span class="n">df_normalized</span><span class="p">[</span><span class="s1">&#39;Actual_label&#39;</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">iloc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">])),</span><span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="s1">&#39;2&#39;</span><span class="p">,</span><span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">[</span><span class="n">df_normalized</span><span class="p">[</span><span class="s1">&#39;Actual_label&#39;</span><span class="p">]</span><span class="o">==</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]),</span>\
                             <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">[</span><span class="n">df_normalized</span><span class="p">[</span><span class="s1">&#39;Actual_label&#39;</span><span class="p">]</span><span class="o">==</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">])),</span><span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="s1">&#39;3&#39;</span><span class="p">,</span><span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">[</span><span class="n">df_normalized</span><span class="p">[</span><span class="s1">&#39;Actual_label&#39;</span><span class="p">]</span><span class="o">==</span><span class="mi">3</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]),</span>\
                             <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">[</span><span class="n">df_normalized</span><span class="p">[</span><span class="s1">&#39;Actual_label&#39;</span><span class="p">]</span><span class="o">==</span><span class="mi">3</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">])),</span><span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>

<span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">df_normalized</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">0</span><span class="p">],</span><span class="n">df_normalized</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">],</span> <span class="n">c</span><span class="o">=</span><span class="n">df_normalized</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="o">-</span><span class="mi">2</span><span class="p">],</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">&#39;rainbow&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Hierarchical Labels&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="s1">&#39;1&#39;</span><span class="p">,</span><span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">[</span><span class="n">df_normalized</span><span class="p">[</span><span class="s1">&#39;hierarchical_clusters&#39;</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">iloc</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]),</span>\
                             <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">[</span><span class="n">df_normalized</span><span class="p">[</span><span class="s1">&#39;hierarchical_clusters&#39;</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">iloc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">])),</span><span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="s1">&#39;2&#39;</span><span class="p">,</span><span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">[</span><span class="n">df_normalized</span><span class="p">[</span><span class="s1">&#39;hierarchical_clusters&#39;</span><span class="p">]</span><span class="o">==</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]),</span>\
                             <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">[</span><span class="n">df_normalized</span><span class="p">[</span><span class="s1">&#39;hierarchical_clusters&#39;</span><span class="p">]</span><span class="o">==</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">])),</span><span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="s1">&#39;3&#39;</span><span class="p">,</span><span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">[</span><span class="n">df_normalized</span><span class="p">[</span><span class="s1">&#39;hierarchical_clusters&#39;</span><span class="p">]</span><span class="o">==</span><span class="mi">3</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]),</span>\
                             <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">[</span><span class="n">df_normalized</span><span class="p">[</span><span class="s1">&#39;hierarchical_clusters&#39;</span><span class="p">]</span><span class="o">==</span><span class="mi">3</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">])),</span><span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>

<span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">df_normalized</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">0</span><span class="p">],</span><span class="n">df_normalized</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">],</span> <span class="n">c</span><span class="o">=</span><span class="n">df_normalized</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="o">-</span><span class="mi">3</span><span class="p">],</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">&#39;rainbow&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Kmeans Labels&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="s1">&#39;0&#39;</span><span class="p">,</span><span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">[</span><span class="n">df_normalized</span><span class="p">[</span><span class="s1">&#39;kmeans_clusters&#39;</span><span class="p">]</span><span class="o">==</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]),</span>\
                             <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">[</span><span class="n">df_normalized</span><span class="p">[</span><span class="s1">&#39;kmeans_clusters&#39;</span><span class="p">]</span><span class="o">==</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">])),</span><span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="s1">&#39;1&#39;</span><span class="p">,</span><span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">[</span><span class="n">df_normalized</span><span class="p">[</span><span class="s1">&#39;kmeans_clusters&#39;</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">iloc</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]),</span>\
                             <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">[</span><span class="n">df_normalized</span><span class="p">[</span><span class="s1">&#39;kmeans_clusters&#39;</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">iloc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">])),</span><span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="s1">&#39;2&#39;</span><span class="p">,</span><span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">[</span><span class="n">df_normalized</span><span class="p">[</span><span class="s1">&#39;kmeans_clusters&#39;</span><span class="p">]</span><span class="o">==</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]),</span>\
                             <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">[</span><span class="n">df_normalized</span><span class="p">[</span><span class="s1">&#39;kmeans_clusters&#39;</span><span class="p">]</span><span class="o">==</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">])),</span><span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
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<pre>Text(-0.936362,-0.390863,&#39;2&#39;)</pre>
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<p style="font-size:16px;">From the above plot we note that For Actual, Hierarchical and Kmeans, cluster labels (1,2,1),(2,3,2) and (3,1,0), respectively are equivalent. Let's find the accuracy numerically.</p>
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<div class="prompt input_prompt">In&nbsp;[22]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">labels</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">df_normalized</span><span class="p">[</span><span class="s1">&#39;Actual_label&#39;</span><span class="p">],</span><span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;Actual_label&#39;</span><span class="p">])</span>
<span class="n">labels</span><span class="p">[</span><span class="s1">&#39;Hierarchichal&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df_normalized</span><span class="p">[</span><span class="s1">&#39;hierarchical_clusters&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">replace</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="mi">3</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="mi">3</span><span class="p">})</span>
<span class="n">labels</span><span class="p">[</span><span class="s1">&#39;Kmeans&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df_normalized</span><span class="p">[</span><span class="s1">&#39;kmeans_clusters&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">replace</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">2</span><span class="p">:</span><span class="mi">2</span><span class="p">,</span><span class="mi">0</span><span class="p">:</span><span class="mi">3</span><span class="p">})</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Hierarchical Accuracy </span><span class="si">%s</span><span class="s2">&quot;</span><span class="o">%</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">sum</span><span class="p">(</span><span class="n">labels</span><span class="o">.</span><span class="n">Actual_label</span> <span class="o">==</span> <span class="n">labels</span><span class="o">.</span><span class="n">Hierarchichal</span><span class="p">)</span><span class="o">/</span><span class="n">labels</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="s2">&quot;%&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Kmeans Accuracy </span><span class="si">%s</span><span class="s2">&quot;</span><span class="o">%</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">sum</span><span class="p">(</span><span class="n">labels</span><span class="o">.</span><span class="n">Actual_label</span> <span class="o">==</span> <span class="n">labels</span><span class="o">.</span><span class="n">Kmeans</span><span class="p">)</span><span class="o">/</span><span class="n">labels</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="s2">&quot;%&quot;</span><span class="p">)</span>
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<pre>Hierarchical Accuracy 92.69662921348315%
Kmeans Accuracy 97.19101123595506%
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<p style="font-size:16px;">Since Kmeans accuracy is better, we use it further.</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">pandas.plotting</span> <span class="k">import</span> <span class="n">parallel_coordinates</span>

<span class="k">def</span> <span class="nf">df_for_plotting_centroids</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">label_col_name</span><span class="p">,</span> <span class="n">n_clusters</span><span class="p">):</span>
    <span class="k">assert</span> <span class="n">n_clusters</span> <span class="o">&gt;</span> <span class="mi">0</span>
    <span class="n">temp</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="n">df</span><span class="p">[</span><span class="n">label_col_name</span><span class="p">]</span> <span class="o">==</span> <span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</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">mean</span><span class="p">()</span>
    <span class="n">result</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s1">&#39;features&#39;</span><span class="p">:</span><span class="n">temp</span><span class="o">.</span><span class="n">index</span><span class="p">})</span>
    <span class="n">result</span><span class="p">[</span><span class="s1">&#39;cluster_1&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">temp</span><span class="o">.</span><span class="n">values</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">n_clusters</span><span class="p">):</span>
        <span class="n">result</span><span class="p">[</span><span class="s1">&#39;cluster_</span><span class="si">%s</span><span class="s1">&#39;</span><span class="o">%</span><span class="p">(</span><span class="n">i</span><span class="o">+</span><span class="mi">1</span><span class="p">)]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="n">df</span><span class="p">[</span><span class="n">label_col_name</span><span class="p">]</span> <span class="o">==</span> <span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</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">mean</span><span class="p">()</span><span class="o">.</span><span class="n">values</span>
    <span class="n">trans</span> <span class="o">=</span> <span class="n">result</span><span class="o">.</span><span class="n">transpose</span><span class="p">()</span>
    <span class="n">trans</span><span class="o">.</span><span class="n">columns</span> <span class="o">=</span> <span class="n">trans</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="mi">0</span><span class="p">,:]</span><span class="o">.</span><span class="n">values</span>
    <span class="n">trans</span> <span class="o">=</span> <span class="n">trans</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="mi">1</span><span class="p">:,:]</span>
    <span class="n">trans</span><span class="p">[</span><span class="s1">&#39;elements&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">trans</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">values</span>
    <span class="k">return</span> <span class="n">trans</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plot_4_centroids</span> <span class="o">=</span> <span class="n">df_for_plotting_centroids</span><span class="p">(</span><span class="n">df_normalized</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,:</span><span class="o">-</span><span class="mi">2</span><span class="p">],</span><span class="s1">&#39;kmeans_clusters&#39;</span><span class="p">,</span><span class="mi">3</span><span class="p">)</span>
<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span><span class="mi">6</span><span class="p">))</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;K-Means Cluster Centroids&quot;</span><span class="p">)</span>
<span class="n">parallel_coordinates</span><span class="p">(</span><span class="n">plot_4_centroids</span><span class="p">,</span><span class="s2">&quot;elements&quot;</span><span class="p">,</span><span class="n">color</span><span class="o">=</span><span class="p">(</span><span class="s1">&#39;red&#39;</span><span class="p">,</span> <span class="s1">&#39;yellow&#39;</span><span class="p">,</span> <span class="s1">&#39;blue&#39;</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="n">rotation</span><span class="o">=</span><span class="mi">45</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><h1 style="color:gray;text-align: center">NOTES</h1></p>
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<p style="font-size:18px;">We note that K-Means is producing better results than Hierarchical as we saw above.</p>
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<p style="font-size:16px;">Cluster 2 has high Malic Acid, Alcalinity of ash, Nonflavonoid phenols, Color intensity, while low Total phenols, Flavonoinds, Proanthocyanins, Hue, OD280/OD315 of diluted wines. This cluster looks like a bunch of datapoints which have low values of PCA component 1.</p>
<p style="font-size:16px;">Cluster 3 has high Hue while low Alcohol, Color, Proline. This cluster looks like a bunch of datapoints which have high values of PCA component 2.</p>
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<div class="prompt input_prompt">In&nbsp;[26]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pca</span> <span class="o">=</span> <span class="n">PCA</span><span class="p">(</span><span class="n">n_components</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span><span class="n">svd_solver</span><span class="o">=</span><span class="s1">&#39;full&#39;</span><span class="p">)</span>

<span class="n">pcs</span> <span class="o">=</span> <span class="n">pca</span><span class="o">.</span><span class="n">fit_transform</span><span class="p">(</span><span class="n">df_normalized</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,:</span><span class="o">-</span><span class="mi">3</span><span class="p">])</span>
<span class="n">df_pca</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">data</span> <span class="o">=</span> <span class="n">pcs</span><span class="p">,</span> <span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;pc1&#39;</span><span class="p">,</span> <span class="s1">&#39;pc2&#39;</span><span class="p">])</span>
<span class="n">df_pca</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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      <th>pc1</th>
      <th>pc2</th>
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      <th>0</th>
      <td>3.307421</td>
      <td>-1.439402</td>
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      <th>1</th>
      <td>2.203250</td>
      <td>0.332455</td>
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      <th>2</th>
      <td>2.509661</td>
      <td>-1.028251</td>
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      <th>3</th>
      <td>3.746497</td>
      <td>-2.748618</td>
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      <th>4</th>
      <td>1.006070</td>
      <td>-0.867384</td>
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<p style="font-size:16px;">Apply K-means on PCA components</p>
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<div class="prompt input_prompt">In&nbsp;[27]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">sse</span> <span class="o">=</span> <span class="p">{}</span>
<span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">10</span><span class="p">):</span>
    <span class="n">kmeans</span> <span class="o">=</span> <span class="n">KMeans</span><span class="p">(</span><span class="n">n_clusters</span><span class="o">=</span><span class="n">k</span><span class="p">,</span> <span class="n">max_iter</span><span class="o">=</span><span class="mi">1000</span><span class="p">)</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">df_pca</span><span class="p">)</span>
    <span class="n">df_pca</span><span class="p">[</span><span class="s2">&quot;kmeans_clusters&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">kmeans</span><span class="o">.</span><span class="n">labels_</span>
    <span class="n">sse</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="n">kmeans</span><span class="o">.</span><span class="n">inertia_</span>

<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span><span class="mi">4</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="nb">list</span><span class="p">(</span><span class="n">sse</span><span class="o">.</span><span class="n">keys</span><span class="p">()),</span> <span class="nb">list</span><span class="p">(</span><span class="n">sse</span><span class="o">.</span><span class="n">values</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;SCREE PLOT&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s2">&quot;Number of cluster&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">&quot;SSE&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
</pre></div>

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<p style="font-size:16px;">3 looks like the clear choice here for number of clusters</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">kmeans</span> <span class="o">=</span> <span class="n">KMeans</span><span class="p">(</span><span class="n">n_clusters</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">max_iter</span><span class="o">=</span><span class="mi">1000</span><span class="p">)</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">df_pca</span><span class="p">)</span>
<span class="n">df_pca</span><span class="p">[</span><span class="s2">&quot;kmeans_clusters&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">kmeans</span><span class="o">.</span><span class="n">labels_</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_pca</span><span class="p">[</span><span class="s2">&quot;Actual_label&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df_normalized</span><span class="p">[</span><span class="s2">&quot;Actual_label&quot;</span><span class="p">]</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span><span class="mi">6</span><span class="p">))</span>
<span class="n">ax</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">nrows</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">ncols</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>

<span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">df_pca</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">0</span><span class="p">],</span><span class="n">df_pca</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">],</span> <span class="n">c</span><span class="o">=</span><span class="n">df_normalized</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">&#39;rainbow&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Actual Labels&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="s1">&#39;1&#39;</span><span class="p">,</span><span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_pca</span><span class="p">[</span><span class="n">df_pca</span><span class="p">[</span><span class="s1">&#39;Actual_label&#39;</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">iloc</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]),</span>\
                             <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_pca</span><span class="p">[</span><span class="n">df_pca</span><span class="p">[</span><span class="s1">&#39;Actual_label&#39;</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">iloc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">])),</span><span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="s1">&#39;2&#39;</span><span class="p">,</span><span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_pca</span><span class="p">[</span><span class="n">df_pca</span><span class="p">[</span><span class="s1">&#39;Actual_label&#39;</span><span class="p">]</span><span class="o">==</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]),</span>\
                             <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_pca</span><span class="p">[</span><span class="n">df_pca</span><span class="p">[</span><span class="s1">&#39;Actual_label&#39;</span><span class="p">]</span><span class="o">==</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">])),</span><span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="s1">&#39;3&#39;</span><span class="p">,</span><span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_pca</span><span class="p">[</span><span class="n">df_pca</span><span class="p">[</span><span class="s1">&#39;Actual_label&#39;</span><span class="p">]</span><span class="o">==</span><span class="mi">3</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]),</span>\
                             <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_pca</span><span class="p">[</span><span class="n">df_pca</span><span class="p">[</span><span class="s1">&#39;Actual_label&#39;</span><span class="p">]</span><span class="o">==</span><span class="mi">3</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">])),</span><span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>

<span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">df_pca</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">0</span><span class="p">],</span><span class="n">df_pca</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">],</span> <span class="n">c</span><span class="o">=</span><span class="n">df_pca</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="o">-</span><span class="mi">2</span><span class="p">],</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">&#39;rainbow&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Kmeans Labels&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="s1">&#39;0&#39;</span><span class="p">,</span><span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_pca</span><span class="p">[</span><span class="n">df_pca</span><span class="p">[</span><span class="s1">&#39;kmeans_clusters&#39;</span><span class="p">]</span><span class="o">==</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]),</span>\
                             <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_pca</span><span class="p">[</span><span class="n">df_pca</span><span class="p">[</span><span class="s1">&#39;kmeans_clusters&#39;</span><span class="p">]</span><span class="o">==</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">])),</span><span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="s1">&#39;1&#39;</span><span class="p">,</span><span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_pca</span><span class="p">[</span><span class="n">df_pca</span><span class="p">[</span><span class="s1">&#39;kmeans_clusters&#39;</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">iloc</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]),</span>\
                             <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_pca</span><span class="p">[</span><span class="n">df_pca</span><span class="p">[</span><span class="s1">&#39;kmeans_clusters&#39;</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">iloc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">])),</span><span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="s1">&#39;2&#39;</span><span class="p">,</span><span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_pca</span><span class="p">[</span><span class="n">df_pca</span><span class="p">[</span><span class="s1">&#39;kmeans_clusters&#39;</span><span class="p">]</span><span class="o">==</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]),</span>\
                             <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_pca</span><span class="p">[</span><span class="n">df_pca</span><span class="p">[</span><span class="s1">&#39;kmeans_clusters&#39;</span><span class="p">]</span><span class="o">==</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">])),</span><span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
</pre></div>

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<pre>Text(2.26429,-0.483954,&#39;2&#39;)</pre>
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UNKZIISQjQg67YAGPNN6+PKBmOvad9YhIgGYakpVkrZlVIbgAJgidZ6tcVzblFKrVVKrS0sLAzHZUWUGUwaZ3MSDmzE4iAGO91I4Domo2QkshBRpal1W9bszi++O1z3PsR1h9iUEx9XvQNJGZGOToj2p7QO3+aAUqob8G/gTq31lmDPy8zM1GvXrg3bdUV0qcLNAYqJx0lfUiUhFp2KUipLa50Z6TjCJZR1W9bszs3rhtwVoH0wYJopnxCiMwl13Q5rSzatdbFS6jPgAiBoUiw6tzicDCc90mEIIUIg67awO2HwzEhHIUTkhaP7RLp/pwGlVDwwC9jR2vMKIYRoG7JuCyFEQ+HYKe4DvKiUsmOS7De11u+H4bxC1KrExQYOkMdxepPKBAYQLx0thGgpWbdFm/K6zFCQ7I8guR+c+j3oPjTSUQnRuFYnxVrrTcDEMMQihKWjlPMsK3DjxYOP7eSxnD18j+l0JyHS4QnR4ci6LdqSuwKemwZH9oC7DGxOWP2YmZI3Ym6koxMiOJloJ6LeIrZQhbt2MIgHH1W4+UDKH4UQIuqsWQBFO01CDKYPsrsC/n09+GS4qYhikhSLqKbR7KWoQQNVDeRQFImQhBBCNGLz6+CpbHjc64b8Te0fjxChkqRYRD17kL+mwY4LIYSInJggVW3aB4749o1FiOaQrEJENYViLH2x1+t1bMfGOPpFKCohhBDBZN4BzsR6BxWk9IOeoyISkhAhCWufYiFCsZmDfM5uSqmkJ8nMYhQD6I4NGzaLQR/nM4YCSimkrPZYBsmcx+j2DFsIIbqkA6th8T2Qtx4SesGMn8H4G0Ap0+O4vrHXwL7PYeOLYHMACmIS4Zr3zGuEiFZhnWgXKpmO1HVlsY/FbMeNt8FjDmyMZwDnMxoH9oDHNJqDFFNEGekky6Q8ETGdbaJdKGTN7rryNphOEu6KE8eUDbQGmx2GzIKLn4LUAQ1fezQb9i83I6OHzvInyEJEQEQm2gnRGI1mKTstE2IwXSU2kksZVVxN4N9dhaI/3elP9/YIVQghBPDpA+Cud9OcNo2A8HkgZwk8OwXuym44HrrHMPMhREchNcWi3VThwUXj/Xg8+MimkONY3LoshBCiXeWthwbtf+rQXqg+Djv+024hCdFmJCkW7SYWO/Z6ZRFW7Ng4RkWTz4tGx6lkCwfJoQhfY/+SCCFEB5A2sunnuMrh6O62j6VNlJTAO+/Af/4D5eWRjkZEmJRPiHZjw8ZUhrKC7KAlFGB2i3tS/9bl6KbRLGYbWeyvvVkwFgfzmEJaB/tehBCixlkPQO6X4GlknyImEXqd0n4xhc0bb8BNN4HDnwp5vebYhRdGNi4RMbJTLNrVDIYzg+HE4rC8Uc6JnVPoSxJxEYiu5XaQxzpy8eDDhRcXXkqpZiFr0LJjLITooAadCVe8DqmDQdkBRUDmYIuB5H5wUkfLI3Nz4cYboaLC7BaXlJid4iuvhCIZDNVVyU6xaFcKxXSGM41hePBxlHKWsJ39HCUOJ5MZzFQ63p0Za9hnuftdQlVtxwwhhOiIRl0CIy82U+rcFfDxfbDtLfPYmCvhvD92wM4Sb7xhdobrU8qUU9xyS/vHJCKuo/01Fp2EQuHETgYpfJvTIx1Oq1UHuYFQAa5GSkWEEKIjUAqcCebjkmfMR4dWVgYei3Xb4zGPiS5JyidEm9Bo9nGEL9hNFvupwh3pkNrUyfTBYfGfk0LRm5QIRCSEEM1zZBes+COs/DMUfx3paNrY3LkQZ1GmZ7fDnDntH4+ICrJTLMLOh4+FrGUfR3HjxYmdJWzj25ze7n2GD3Ocz9lNASX0IpkzGUFfuoX9OpkMYhMHOUYFbrzYUNhRXMp47PK7pxAiyi37HXzxsOk9rBR8ej/MfhQm3d7OgRw6BA8/DIsXQ3o6/PjHcPnl4b/O5Mlw7bWwcKGpJVYKEhJM2cRomZbaVUlSLMJuPbm1CTFQ+/9vkcUPObfdJtHt4yiv8VXt9YupZC9FXMtkBpMW1mvF4OB7TGMrh9lNASnEcSoD6UlSWK8jhBDhVrjNJMSeeu3hF99taolT+rdTIPn5MH48FBebMobsbJg3D7Zvh1/8IvzXe/ppuPpqeOUVs0M8bx7MnBn+64gOQ5JiEXYbOGB501k1HvIpDSgncOFhIwfYxmGKKKMCF/E4OZ0hTGN4bXuzlviIrQ3icOPjQ7ZyG2e26Jw7yGMlOVRQzXB6MZ3hJGHGODmwM57+jKe9/gURQojW2/Y2eINUuO34D0z+wYmvtQ92vgfrn4O8TVB2COxOGHMVnP8oxLfmzcBHHzVdIOrW+paXw29/C3feCSktKEXLyoKHHoItW2DiRPjlL2HcOPOYUnDeeeZDCCQpFhFUhZunWU4pVXjw1R6vwM1y9lBCFRfS8uaX+ZRYHi+gFI1u9o71F+wO6LG8ln1s5RC3cxYJxLQ4TiGE6Ai0hje/CdmLwV1nzoXPDZtfg0Nr4PZNoFpaMfbxx+ByNTweE2OS2qlTm3e+Tz+Fiy6CykoTfE4OfPABLFkCU6a0MEjRmUmxowi7CfTHaTG5LhYHGXVak60gm5J6CXENNz42cIBKLBbIEMUHSVTjcTY7Ia7yJ+p1d559aKpws5q9LY5RCCEibcwVZrfXyqjLTnye83HDhLiGzwXH95vntNigQWb3tj6XC/r0af75vv9904dY+3vFa212nn/4w1YEKTozSYpF2E1kAIPogRM7CjOQIwYHV3JaQDK6gzy8FglxDUcLxj370HzBLv6PxVTiapD6OrFzBkOadU6N5n02WSbvXjTZFDbrfEIIEU3Sx8BZvwRHPNicYI8BRxzM/ktgPfGu/1onxDW81VCwtfnX3/oW/G0EPPTe2/yN3WzlmycejImB00+HIc1bt3n1VVOLbGX9+uYHKboEKZ8QYWfDxrVMYj/H2M8REollDH2II3ArIqaJv34evHQjoVnXXsRmNnOoQS2xExsaOJUBTGd4s865jv3soiDo46nNjFEIIaLN9J/B6G+aGmJlM7vH3QYHPic21Uy100FarysH9BzVvOtueQPeu8kMBQHFMYbxLi+iYxMYyxvmxrfXX2/eSTdtgu99L/jjPXo073yiy5CkWLQJhWIQPRhEDzSaKjx48QW0JxtDbw5zPOg5fGh2ks9EBoR0zQpcbORgg91nhWIo6VzGBGJb8Ff+S3Isd4nB7GZPaebOsxBCRKO0ETDtx+bz6lKTqDrr/M4/9lpY9nDw13sqYetCGH6BdRWElU9+VpMQn+AmgU96Ps3Ydf8HvXo175sA+Mc/wB3kzsG4OLjnnuafU3QJkhSLNrWLfBaxhTKqsaGYwABmMxoH9qCJZg0NfMAWTqIXif4OD405SjkObA2SYo2mmIoWJcQAlY0MHpnNaBKI4SO2coRyBpPGqQxssCsuhBAdQeE2+M+NkLcOUDDkHLj0eUjuAxWFpsSifuu2Wtp0shhzJZx0UWjXO77P+njxoRh0eq+W9R86dMh6hDOYThM33gh/+AN88QWMHAk/+AEMHdqSK4lORmqKRZvJ5Rj/Yh0lVOFD48HHBnL5L5sBsxPcFIViF/khXa8bCZaJtkKR0YqpcoNJs1yYU4gjjSSeZBlr2MceCvmMXSzgc0qpavH1hBAiEqqK4blppouEz2O6SuR8Yo75vOaYbnwvA3c5bHwp9GsmB+lgmdI/9N3mBi680AziqC82Fn7zGzj5ZPj1r2HRInjiCdOibdmyFl5MdCaSFIs2s5w9DZJUDz62c5gKXCRjMWKzHi8+9lJEGdVNPjeJWMtxyw5sTGVY84Kv41xGEYOjtmdyzc2DFzKW99iEG29tgu/BRwUuPmd3SOeuwMVWDrGDPMvezkII0V42vgxeF9Tdr9AeqCgyXSfSx5ib6ZpStCP0G+7OeSiwRAPM1+c8FHLYDV1/vbkxLz7+xLHERFM28dhjcPSoadMGpsyivBxuuulEl4rGVFfD+++bOuf80DZsRMch5ROizRzB+jZlGzZKqaKA0ibP4UOznTx2kM8VnMpIMhp9/sWMI4lY1rIPF14ySGEuJ9OrTis4gH0c4VN2UUQZaSRyNiODTrnrQSK3cSZfkkMux0gjkakMJZFYyi2SdR/av7vdeI/ldezjQ7Zhq03iNVeTyRB6Nvo6IYRoC0d2NqzvBbNjfCzHPNZo+YRf4VZ4ehKcPh9mPdL4c8fPM7no0l9A6UFI7gtn/xbGf6feE7Oz4f77YelSSEuDe+81ZRBW28nx8bB6Nfzzn/Dmm9C9u2nPdvHFpka57nCQGrm5UFjYeA3z6tUwZ44pzdDaJNQPPgg//Wnj36ToMCQpFkG58bKLfMqpZiBpAZPoQtGPbhyjAl2vTMKHj+4kEONv2dbU7+ZeNKB5h/Xcw6yArhVefJRTTQIxOLBjx8YsRnMu5hZoq37EeyjkTdbW7mJX4OI1vuIqTmM41gtiKvFcwMkBx6pwN/jeajTVWaOQUj5kmz+GE7vpC1nb4HsUQohQaJ8pdyjabrpADJ3VvEEa/SbDhhfBXRZ4XNmh9wSoLjH9jJtKirXPPOerv8Hob5jz1n2s9DDEpkCsf69iwnfMh/YFiTc3FzIzzbQ7nw8KCuCuu2DPHvjd76yDqNkZrn9TXVKSSX4bBK0Dd5brc7lg7lw4dizw+G9+A2eeKcNAOgn5l1dYyqOEl1iFDx8+//S3k+jF5UwMefDFDIazkzxcdcoCavoEx+BgHP35iq8blFgES5QVir0cYSQZaDTL2MNKsmvjm8pQzmQEyv+/YBbXJqMnePDxEVuDJsVW4nAymJ7spSigPtqJnckMavS1myy6ZJjv0dycOJZ+IcchhBCVx+CFM6H4azOy2R4DqQPgxmUQH2IHspOvgs8ehJJqszsMpl9x7wkwYKo5ZpW0KjugTKlFXZ4q2PL6iaR453vw/m1QdcwkwKMug0uehZgk/3mCJfB//KMpcfDVWTPLy81Y6J/8BLp1C+0bBDMu+v77zVCPGjExMHs2JCcHf92nn1rvMFdWwjPPSFLcSUhNsWhAo3mDtVThxoUXDz7/rnEBmzgY8nl6ksSNTGU46cTioDsJnM8YZnISAL1I5jxG48BGDPbaj0FByhjqWs3XrCA7IL6V5IQ0Xe4IZUGOVzS7rvcbTKAXybUDShzYGEMfJjG40de58Fgm/hoCfokQQohQfPQjKNoFrjJT9+sqhSO74YO7Qj+HIw5u/gom3GAS6cQMUwJx/WJTpWCPgesWmX7FMckmmbXHmd1gRxO3iBxaC29fC2WHTbLsdcGOd+Gtq0MIbPly6xZr1dWweHHo3yCYHeYrrjCt2VJSzI7yuHHw4ouNv64iyCAprc0OtugUZKdYNFBIGRUW45XdeMliP+MJcruwhQxSuI7JQR+fxGDG0IccinBgYxjp7OcYBylukKBqNEP8CfMKshs87sbLcrI5g8Zb68TjpCJIm7X17GdyM/oOJxDDzUwnjxKOU0lvUkIaODKS3mzgQIPvwYdmOOkhX18IIQC2vmlGLdflc8O2f8Hlr4R+noSecPFT5sPKgClwbx7s+cgk3kNnmSl4f7H4Z8ERZ3obA6z4I7jrlV14q+HrpWY8dOrARoIaPhw2bLB+7Omn4aqrmvy+atnt8NJLpvvExo1mtPTEiU2/buZMU0JRX2IiXHll6NcXUU12ikUDXnxBiw8aG8vcUonEcgr9GE0fYnAwjJ6cQt/aMdEObDiwcTkTa2ttK4J0o6jAFbTOt8YY+gZ9bBt5QR9z4+VLcniSZTzDCjaQi/aXbvQhlVH0DnkC3xDSGEEvnNiBEx0tzmQ4KTRS1yaEEBZ8Qd5g0t7Qmio0hyMORl0K474NSb0hIQ0uftoct8eBzWFuyJt814nSiaN7sKyLs8fA8dwmLnj33cEfW7ky+GNaw1tvwYwZZjf4N7+B4/6BUUOGwGWXhZYQg7lZ79FHTas3mz91SkyEadPMzrPoFFq9U6yUGgC8BPTG3DH0lNb6sdaeV0ROBik4sDd4G9+JnfHtUOuqUFzEODIZxB4KicHOGPqSVGeAR0+SKLQog+hJYpM1zxPozzr2W/ZJTggydMOHjxf5kgJKa+uRP6CUbIq4ghAX1ToUiiuYyB4K2cYhHNgZT3/6073Z5xKiuWTd7nxGzIVd/w0cwazszZsu1xrjvg2yszb6AAAgAElEQVSDZ5qdaU8VjLzEtHCrMehMKNhyola5htcFvQLvYW5o8mRwOKxreq36Ede491548klTfwyweze88gqsX28S2ua6/XZTO/zss1BcDJdfDpdcYnafRacQjvIJD3CP1nqdUioZyFJKLdFabwvDuUUE2PwJ20LW4kPjxUcMdjJI4VQae48rvHqTSm9SLR+bzRjeZC3uOjvXDmzMZozl8+vqQyopxFNMYI2YEzuZQWqBd5JPIWUBN+i58bKTPPIpadFwEIViBL0Y0Yyb+4QIE1m3O5m5j8PB1aZDhLscnImm5nfu39svhpT+cMYPrR+beq8Z6lF9/MQAEGcinH4XxDV1n5zdDt/6FixcaOqIa8THw623Wr/m0CH4+98Dn19VBQcPmvrhO+4I+fsKMGECPP54y14rol6rk2Kt9WHgsP/zUqXUdqAfIItrBzaEntzJTDZxkDKqGUwaw+lVO8CiLVTiYhuHsaEYQx9iGxmVPIx0ruN0PmOnv9dwEmdzUkg36SkU32ISL7OaKtwoFB58zGA4Q4P0CN7LkaA34eVyrFUT84Rob7Judz4p/eGuPbBlIeRvhl5jYew1ENOCDdFQed2w813TYm3UZabbRWPx3bIWlt4Pe5eakosp95qb+kLy+OOwbx989ZXZNXa54Pzz4YEHrJ+/apWZYFddr9SuogI+/LDlSbHo1MJ6o51SajAwEVgdzvOKyEgirlWT4EJRU8KwlB2sJKf2+H/ZzDmMZDrDOUgxS9jOYY6TSAzTGc54+pPPcUqpRqHoSSI9CH31TyOJ+ZxDLseoxMUAepBATNDnpxCLHVuDmmobKqCsI9KOUcGX5JBPCX1J5XSGhFznLLomWbc7D2cCTLypba+htRn3nL0Y3vjGiXKID+8yJRzXvAfl+bD4x7D7fVMzPOEGmPkbKNpphoAApA6C3uObUdqRnGzaom3ZYsogxo6FESOCPz8jI7CFWw27HQY0kr23s6piWLMA9nx4Yqe9X/B700UbUzpMFfhKqSTgc+C3Wut3LB6/BbgFYODAgaft27cvLNcVHVMZVbzPZvZQaFnbW+MSxvMBWwJ2aZ3Y6UEiRymrLZ+woUgghjs4i7hGdphbqpQqnuCzBrvFCcTwQ87BQeRryg5RzIuswuvvLW1D4cDGjUyt3cmuwOVvgSeNZ1pKKZWltc6MdBzh0Ni6LWu2qMvrgo9/CllPWU+9qzHtp7DpZSjLP1Hf7IiD1MFQsj/wtc4EuOFz6NsW/zVpbZLmvXsDk+OEBFizBsY0XWrX1iqPwpMTobzA1GGjwBkPF/0Txl1vnlNdan4JiZfbTVol1HU7LEmxUsoJvA98pLV+tKnnZ2Zm6rVr17b6uqJj8uHjCT7jOJVNTrNLJIZyi/ZwVhzYmMlJbba7vZci3mE9bv+MvWTiuJrTSKeRhu/t6BmWc4jjDY4PJo1zGMm7bKytox5GOpcwvtHdcWGtsyTFzVm3Zc0W73wLtv+76Wl2jngzhMNdHtp5h5wL8z5ufXyW9u0zHSZ27jQlFw4HPPecORYFlt4PK/9kWtPVFZsCt22E926GfZ+bY+lj4BsvQca49o+zMwh13Q5H9wkFPAtsDyUhFtHla46wgj0co5JB9GA6w+nexm+376bA3zqtaZVB+glb8eDja460WVI8hJ7czSwKKMWOjbQQOl20F422TIgB9nGEl1kdsMudTSGvsJqbmR4134NoP7Jud1xHdsOyh+HAKugxHGb8wkyba0tl+bDt7YbJmxVv9Ykb6UJxOKvlcTVp0CDTaSI72wzYOOUUkxhHiR3vWv9MtYbnpkNZ3ond9vyN8PyZpm48wfrWFxEG4ehTPA24HjhHKbXB/zE3DOcVbWwTB3idNWRTxFHK2UAuT7GMo4T4K34LHaG8wZjlYFJoYkxSHTYUac2oK24JhSKDFHqSFHXJpDNICYcNha/ez9uL5gjlHA6SSItOT9btDqhgKzx1Kmx6FY7sgt2L4OXzTHLVlo7lND2xrkbKALNbHKrk9phoP2yY6UccRQkxBE9uPdWm1ljXu7fb6zIdPETbaXVSrLVerrVWWutxWusJ/o9F4QhOtB0fPj5iW8DuoQaq8fAZu5p8fQUuPmY7f+cznmcl2zjc5NCMGukk4wjhr14iMcxlbIPnOvz1w/U7YdixNTleubNSKCbQ3+JnZSOVBH/BR/3XQDFNvBcqOiVZtzumT+4DV3lgsuSugA9+0PSADq8bvvq7qWH9xzhY+WeTfIUi7aTQdoltTrjiNXNzXd3l2eaE+DRTQ1yXMwHOCtI8oiuY8iPTlq4u5YCUvta77Z5K88uQaDsy0a6LKqEq6G7tPo40+toq3DzFMlazlyOUk8sx3mVjSMk0mHrWVOL98+oMM9HNRhxO4nGSySDu5GyG04srmEgq8SgUTuxMYgi3MYMh9MTuv5kslXiuZRJPPvI3Jk2aREpKCunp6Vx88cVs2bIl5J9LR3YeoxlGOg5sxOLAgY2RZDDRIlkG0/lDWskJ0XHsX4HlVLjyQqhsZNnWGhZeBh//BPI2QMFm+PSX8PKs0EodEtJgwo0Nk1qbExJ7QWwqDJ8Ld+4ypRw3rTAdFJTdPOeki+COLXDq98wusiPBvGbW7+HkZkxo7mxGXmJuTHTEmZ+HM8EMMpnzd1OXXZ8zCfqf0f5xdiXR9V6CaDdxOIN2fUhqomQhi31U4ArYfawZgXw6Q5q8ecuG4kamsoTtbPXvMI+iN7MZTaJFe7OR9OYkMnDjxYG9dof4W0ymCjduvCQRi0Lx2WefcccddzBp0iS01jzwwAPMmjWLbdu20aNHj6Z+LB2aAztXk0kxFRyhnJ4kkUo8VbhZxV68deq4Hdg4iYw2LzcRQoRPYjpUHWt4XCmIaeR+3wOrzA1bdTs/eCpNgpy92Ey9a8qcxyF1IKz6q3lrv/8UuOAv0HtCw+f2Ohm+twrclWbks93fEOiCx+Dc35sEPjHjxPGu7KxfwuTvw+F15meScYr5Jab/6ZD75YkbG21O8+d/8tWRjbezk6S4iyiklAMUk0wsQ0knDiejyGAH+QG9d53YmdbEjWp7KLTcZbZj4xDHGU56k/HE4eRixnExod1Kq1CWbcTicAa0YPvoo48CHn/55ZdJTU1lxYoVXHzxxSFdq6PrRkJAb+I4nNzCDJayk13kE4ODTAYyhaERjFII0ZiyfMj+yOwijphrptNN+yl8cGdgcuuIh/HzwNFIu/TcFaYetT5XGexbFlpSbLPD9PvMR6icFrXFznhw9g/9HF1BfA8YOuvE10rBdYtg2e9g/bPmz270FXDOQ9Y/UxE+khR3cj40/2Y9O8lH+W8Ni8XJDUzhYsbhZQO7KcSOQgNnMYIx9Gn0nKaUoeG7eD40yVE0yAKgtLQUn89H9+5du8ljMnFcyvhIhyGECMHqv5mewDYHoEyJw9XvmBKG4/thxR/NY143jP6G2YFtTFJvkzS76jXzccRDct82+zZEKzhi4exfmw/RfiQp7uTWsY9dFATs7Lrx8hZZ3MIMriKTcqopo5oeJAbtYFDX6QxhO4drB2eAqQnuQWLU1ajOnz+fCRMmMGXKlEiHIoQQTcrfDB/f5x/mUMcbl8M9h2HmgzD1XtMRIrlvaO25Rn0DPrir4XGbA065NixhC9EpyI12ndxa9jeYwqaBIsoo8XceSCSWDFJCSogB+pDKJYwnDgcx2HFgox/d+RaTwh1+q9x9990sX76ct99+G7s98hPnhBCiKZtesi51UDbY/T/zeUySGeIQar/amES44TPT19iZYDoepA6E65eYt+6FEIbsFHdynnoJcQ2FCrlXsJWT6csoelNEGXE4SSW6Cp1+9KMfsXDhQj799FOGDpXaWSFEx+CubNifFkwJhbsVHRQzxsEPdsHR3eZcaSNN7aoQ4gTZKe7kTqYvdos/5nicrZ5cZ8dGBilRlxDPnz+f1157jaVLlzJq1KhIhyOEECEbfXnD3rUAPi8MP79151bK9BzuOUoSYiGsSFLcCWk0lbjwoZnKULqTQIy/NMKODSd2vsGEqJvIFg7f//73ef7553n99dfp3r07eXl55OXlUVZWFunQhBDCktamzZmnGgafDaMuO5EYK5vp63vOw3JTnBBtTconOpmv+JrP2YULDw7sTGcYNzON7eSxlyN0I56JDGzW+OSOZMGCBQCce+65Acd/9atf8eCDD0YgIiGECG7vp/D+LVC8zyTAY6+GC/9pOk1se8vUAI+fZ90PWAgRXpIUdyIbyOUTdtTeWOfFwxfswYaNKQxlHJ2/OaRuatapEEJEicJt8PpFgX2Ht7xhJtR9axEMPTf4a4UQ4SflE53I5+xu0GnCjZfl7EEHmV4nhBAiMlb+yZRM1OWthq8/hWN7IxOTEF2Z7BR3ImVUWR6vxI0Pjb0T1hBHQilVZLGPAkrpRzcmMrDJ0dbNVYGLcqrpTgKOEFvlCSE6lqLt1p0m7LFQ/DV0H9LuIXVKrnLY9DLkLIHUwZB5G6SNCP81ju+D5H4Qlxrec4v2I0lxJ5JGEgWUNjieQpxlBwrRfHmU8AJf4sWHFx97KGQlOVzJaeznKAcpppQqUogjk0EMp1ezzu/Cw7/ZwB7/lEFQnMcoTmNQWOKvecegM95kKURHM2AaHF7XsC+xpxrSx0Qmps6mqhiemgRlh8FdDjYnZP0TLn0RyvNh3xdQvNfUbo/7tqnftjdjj0Nr+PQB+PLPJ6YMTvgOzH3CP5EwDLSWbiHtRZLiTuQ8RvMGawP6DzuwcR6jIxhV56HRvMdGXHhqj3nw4cHHy6wKKFDJo4S9HOEMhnA2I4Oe04OXXRRQgYtB9GApO9lDoT/pNhaznVTim51g11VCJYvYwh4KUcAoejOHsWHf4RZChO6MH8K6Z8DnMb2DwZ+czYOkjMjG1hloDV/8zozG9vl/8fC5zce/rgKb3fzsaxz8Cja9AvM+MY9ZntMHX38GRTvNLy75m2HVo+Cp00N648sQmwLn/bHlsXuqzKjvdc+ac/efAhcuMP2mRduRpLgTGUY61zKJpeykiDK6k8BMTuIkmre6+tD+PUr51RRMMvw5u1lFDq4gw1CsKrbdeFlJDpMYRJJFt488SniZVXjR+Py/yFgNVHHjZQXZQZNiHz7Wso8scvHiYyx9mMowYvz/ebvx8gwrKKe6Ns7t5JFHCbdzFjb5cxYiIlL6w81rTPKzdynEdYPT58MZ85t3npqEWskbgrW2vgWL74aSA0GeoAMTYjDJ5+EsMzlw5CUNX1J5DF44y+ws+7wmcfZUmyQ74DwVsGYBzPp98D+TXf+D5b+H0oMweCac9QB0G3zi8Te/CXs/OTHuO3cFPDcd7tgKqQNC+AGIFpGkuJMZQk++S4izP4FqPCxlB5s5iAcfTuxU4saBjQkM4DxGhzz+ubP6hB2sYV+DmxhDYcfGfo4xhj4BxzWahayhEneQVwYqCVIvDvAv1pNNAW5/Qr2SHHaQz81Mx46NbRymGk9A4u5DU0oV2RQyohU70EKI1kkbAVe/E/rztYbVj5mb9CqOmJHPVcfMY8Nmw0X/NCOcu7I9H8K7NwR29QiVqwx2L7JOij+40+wQ+yzGcNfnqTIJs9NittVXC+DjH5+Ib+N+2PFvuHW9SYyP7jG/JHnqLfvealj9N5j9f83+tkSIJCnuor7mCJ+wg0MUByRLnjo7lhvIpZgKrmNyZIKMAh68LU6IDU08zgZH8yihKsSEWAGDSbN8LI8SsimsTYjB/NkVU8F28hhLXwoosYzfi48iyiQpFqIDOJYDS34Cu9731yD7F+7KOolT9mJ45nS4K8c6GesqPvtVyxJiMPXEiRZvrmpt+kaHkhADdBtk/WfgqYZP7guMT3uhugy+eBguecYk3vaYwJIMMH/ueetD/15E88mbLV3QXop4ja84WC8hrs+Dj685wlHK2y22aFNO4yugvYkikxgcDLJIaL34IMgrVb3PY3Ewg+GWzz3IMct2ey687OMIAL1IqZ1oGBi7jXSSGoleCBENSg/DU5lmN9FbjXW9Fia5cpWZ5K0rO5oT/DFHQuM3wCk7TLjB+jFfI3sjdcsknAkw5wnr5x3LxvLPT3tMrTKYMdz1b74Ekyj3OTV4DKL1JCnugj5mu2XtqhU7No504aQ4idigaW8vkriFGVzMOBzYAmpzbSi6Ec88zrCs2e1DquVxJzZOZSAD6UF3EpjAAG5hBt1ICHheJS4Oc5wY/5Xrs2MjFbNNMYY+xOIIuJoNRQrxDCM9lB+DECKCVv/N7CzqEJZtVxkUbm/7mKJZr7HWxx0JcN378N1VEJsKjjo7uTYHOJPhitetW+EpBUNnNawRVjb/aO7LodsQGD4Xrv8YRswJfJ6nCvI2gNdjOlRYqakV7jEMhp4XGB+YVn2n3xX8+xatJ+UTXVAhZSE/14uvQ+0mFlPBVg6RSjyj6dPqVnR2bJzJ8AaDURzYuIhxpJNMOskMJZ0dHMaNjxTiSCOJPqQETajt2LicCbzFOnxovP567t6kcD5jgvYm9uFjEVvZxAFs2PDhs7yCHcUE/wRDJ3a+y3Q+ZAu7KUChGE0fLmCM3EwpRAeQu8K/QxyCmKSO1aHAVQYbXvCPuL4W4ru3/pzn/g5emmVueKvhTIBzfgtDzjZf330Atr1tWrUl9IQeI6D/GeCIDX7eC/9hylPcFaa9mzPR/Lwve7Hxm9+ynoTF9wLK3JQXmwLVJYF/ps4EmHbfia+vfBOW/hyynjHXGjgD5j5ubs4UbUdFYixuZmamXrt2bbtftyPYxAE+YxclVNGdBGYxmpHN7B7RlCf4lKM0XXDlwMZJZPBNov/9Go3mVVaT4y8ZALMbOo8zGEiPVp97Iwf4gj2UUUUGKZzH6FafF+A4lWzkAOVUM5SejCCj0W4Qn7KTL8lp0HYvFgfVeFAoEojhG0wIS3yiIaVUltY6M9JxtCdZs4M7sAo+/KHpNxzfA6bcDVPvDW8niPdvNa25rAZ91GVzmOERP9jZeHIXLb74LXx6f50DCmb9Aab9uPXn3rcMlvwY8jdBcl8485emf3BrVZfAplehYDNkjIdx3zKJcTA5n8DCSwJriG1OM+CjuhTsTvN35bw/wmm3tj4+YS3UdVuS4iiynlw+ZEvATVMObHyTU5vdVq0xmzjA/9hiefNVHA7ceInBwWkM4ixGdIjBH5+yk2XsaXDcjo37OL9DfA+h+AMfUY2nwfEEYriZ6Xjx0Z0E2QFuQ5IUixr5m+HZMwITHmeCmZg2+8/hu07RTnjqVOubx2JTTP2pssHIy+D8RztGj+NDa+Bpq3u4Fdy+BXp1kuElr84x3TDqc8SZMg5HLHQf2ryBIaL5Ql23pXwiSmg0S9kZkBCDudntE3aENSkeR3+q8bCkTm1xIjFcxoQOW2P6FV9bHvfiI5sCTqJ3+wbUBjTaMiEGqMJdW0MshGgfXzzUsG2W29+j9qxfmYQ1HHqOhOsWwb+uNlPYwCRVZz8EU+7pmNPOPrk/yAMalj8Cl7/cruG0mZKD1sftMeaXmd7j2zce0bjOsX3WCXjxUYF10dixEEodmqt+XXE5Lt4ki8McD/u12kIxFeyliDL/z8zTSMu0pjpIdBQKRS+SLR/rTZj+9RVChCxvg/XNb/YYKP46vNeqPAqu0hNfe6pM67G1/wjvddpK5THTXeHILvN1eV7w51YUtUtI7WLYbLBZ7AL7vNDr5PaPRzROdoqjhB0bcTgthzm0ZgdQo9lJPhs4gEYznv4MIY0N5DboQOHGyzJ2cxXR+86wGy9vs44cirBjw4OP8fQjnSTyKLV8TTh32SNtDmN5ldV48aExLdsc2LkAWV2FaG/pY8yghfottryu1g3QOLgGvnocSg/BSRfBqd+DT37esHzCXQGfPQiZt0fvbrHWJnlf+X+me4LXBX0mmi4N+ZusXzN+XvvG2Jam3gsbX4Kq4hOT75wJcO4j5v9FdJGd4iihUJzFiAbT45zYOIeRLT7ve2zi32xgF/nspoB32cjbrA9ac1oQJLGMFh+ylRyK8OCjGg9efGzmIIPoYfkdTWQAiXSAO05CNIge3MQ0RtOHNBIZQx++yzT6E4ZbtoUQzXLmLxsOaHAmwPgbzMjmltjwErwwEza/asb8fvJzeHKiGS1spfJI6J0pImHbW/Dlo2Znu/q4GUhxcA0cXA1xFstW92Ew9pqmz7tgwQKGDBlCXFwcp512GsuWLQt/8GGQ1Btu3wST7oCeo2HIOXDV23D6nZGOTFiRneIoMonBKBRfsJtyXKQQx7mMYnS9EcGhOsxxtnEooE7ZjZdcjuEL0qc4I4rfhq9JgBvucPvYRh63cyb/YwuHOU4cTs5iBBPpfPNOe5PSITqCCNHZ9T0Nrv2vGf9buA1iUkwf2Zm/atn5PFXwwQ8CW4l5KqHkgOmrW1HQ8DUJ6WYHNlqt/JNpKVaXzw25K02yuPz3ZiiJcpihGbN+3/Su9xtvvMH8+fNZsGAB06dPZ8GCBcyZM4dt27YxcGD0rflJveGCv0Y6ChEKSYqjiEIxicFMYjA+dKOtuUKxlyK8FqNz3HjpSyqFlAV0oHBi50xGtOqaTTlOJWVUk04SMc386+fF5y8aaKgaDz1J5jtMCUeYQggRkiHnwB1bTY2osrWujOHweuvXe6pMqzVXaeDoX2cCnPNQ25ZOVB6FI7uh2+CWdbWoPGJ93OYwpRWXPmc+muPRRx/lhhtu4Oabbwbg8ccf58MPP+Qf//gHjzzySPODFMJPkuIo1dqEGCAOJ3Zs+OrdhObAxlj64sHHKvZShZsMUriAMW22U1yJm7fI4gDH/DFpzmIEUxkW8jlicNCdBMsJe9KTVwgRSTbreTvNEt8dfNYNZugx3LR5+/gncDQbUvrB2b+B8WHovWtF++DD+bDuGX8tcLWZ2nbpc83rgTx8DmQ9daKetoYjzkxuay6Xy0VWVhb33ntvwPHZs2ezcuXK5p9QiDokKe7ERtOHj9hm+dhY+pFELNMZ3i6xvM06cjmKF11b/vA5u0kjqVnDSS7iFF5jDR58aP9uuhM7s2leU8tyqvmSveRQSApxTGEog0hr1jmEECKceo4yyW/B1sBBHc5EOH2+GR086tL2ieXLR2H9c2aXuqbt3I5/m+lvcx4L/TwzfmHqiquO+2uflanDvnCB2S0OlafaJOhfPFOE1+ulbGMG+ooTQ1IyMjL4+OOPQz+hEBbCcqOdUuo5pVSBUmpLOM4nwiMeJ9eQSRwOYrATg51YHFzFaSS1481nZVSxz58Q1+XGy5dkN+tcg0jje0xjPP3oRzcyGcRtnEnPZoyiLqOKf/IFq9lLHiXsooDXWMN6cpsVixAdlazZ0eva/5rEOCbJ9Dm2x8H0+0xC3J5W/bVhtwtPJax72roNXTDJfcwwjqk/NmOUT74avvMZnHxV6OfweeHlWWaX/PAGc+zLPyv+U2eXXGuNitYWHKLDCNdO8QvAE8BLYTqfCJMh9OQezmM/R9HAQLrjIAzv8zVDBW7sKMtOwmVBejM3Jp1kLqHlHc9XkE0l7oD6ZDdeFrONU+jb7j8fISLgBWTNjkqpA+H72+FwFpQXQr/JkBCBN7Eqj1of91abtmqOuNDPlZhuap95qGWx7F5kekK7KyCBnijsFFflse1tmPoTyDgFCgoKyMjoPO03RWSEJSnWWn+hlBocjnOJ8LNjYwg9I3b9NBItW8DZUAyNwAS9PRRa3rCn0RRRHjWDMI5TyWK2kU0hDmxMYCAzGSFJu2g1WbOjm1LQN8Lt4gdMgb1LGx5PO6l5CXE47P0YXP55Uw5i6MtpZLOE8VzJvi9MUrxkyRKuuOKK9g2sHnclfPoAbHje/OIw4kKY/SdT/y06BulTLNqcHRvnMyagB7MNRRxOZrRTTXNdwUpHfGgSiI4B9FW4eZrl7CAPF14qcPMVe1nI2kiHJoToAmY/ako4lH/ZVjbT7WLugvaPJbF3YNu5KdzNBl4gy/cMea7tzJ8/n0OHDnHbbbe1f3B+WsOrc+CrJ0zHDVepqaV+OhOqo7v9v6ij3ZJipdQtSqm1Sqm1hYWF7XVZEQIPXlwEueU5TCYwgOuYxAh60YtkJjOY25hBMu285QBMYWiDISl2FP3pTkoE4rGynlxceAL2sz34yOUo+ZRELC7RdciaHb18HnPjmrbuUBkWvcfDLetMd4tep8CYq+CmlTDk7La7ZjDj5wV29xjL1VzAX/nU/TBX3jeB5cuXs2jRIgYNGtT+wfkdWguH1oC36sQx7YXqEtgkRUodRrt1n9BaPwU8BZCZmdmG/ymLUFXg4j02sQfTET6DFC5hXJu1ZRtEWlR0eDiJDM5iBJ+zGxsKLz760o0ro2ggxgGONRhSAqaXdQGlUT1kRXQOsmZHH58HPr4P1v4DvG5I7AVz/gajL2+b66WNgEufbZtzN0dKP7jmPXj7GtOFAg3npd3Bs+/eQe+W314SVgWbwaqTqrvCTPCb1O4RiZaQlmxdlEbzIl9yhPLa+trDHOcFvuQHzOxUo5GtTGUYmQwin1KSiKU70TWEPoMUdlPQIDHWQA8SIxOUECKiPpgPG1840RWi9CC8cz1c1z0yO7jtaei5cE8e5K0He4zZvY6mZhM9hlvH44iH9JPbPx7RMuFqyfY68CUwUil1QCn13XCcV7ROPiUsZA1/ZglPs5yd5Nc+tp+j/D975x0eVZn98c+dkg6hd0Kv0gkICCKoNHtdyyrYRV3rrq6ra1173Z8Ny0qxYO+KoCJFeug1SG8JLQRSp937++MkTLuTOkkmk/fzPPPA3DbvwMw75573e77nOAVBBWcedNbUEWuyGGy0pWHEBcQAA0jBGvD1tKLRhCRakVxDo1JEC2rOjkzyDsGPt8HLreG1LrDkFW8zD0cOrHnfxCYtHxY8Uf1jrQksVilAbN4nsgJigJQR0KCDBOwn0aTRSf/ra2xYinISLveJK8NxHUX4OMgJ3mfxyTrHJsUAACAASURBVDbOeTj5ilWMpScDaMcx8k0bJrvROUxu9Q5WEUQSsUxiKD+wjgMcR0OjOy04h96mTh4KRXlQc3bk4ciBd1IhN9Pb/W3uw7B/GVz6CeQdDN3sIqt8du+KKkDTYOLv8MOtkP6teDm3PhXOf7dmLPUUFUPJJ6KUuaSfDIiLcaHzK1voR9uQmlQ7VlrTwG+bB50j5BJPTMQUokUKBTg5Sh4NSShVcpKHg41k4MBFR5oG/TtnbYdtP0uFd/cLoXnD+tzAcNx4sKBhUWYxCkXUsna6uBb4tkN250P6d3B0q/gXmwq7NWjZ33+TYcg5mgaNukReVrUmcRfCwfUSqDbsWPKxrgLY/BUc2w4t+kOXCf4FfwVZsOUbOa7LBGjYAS7/XPTehl6+dtiKyEAFxVHKAbJNt7vRycVBS5JpQ0P2knVSt2pBIxYbfWhz8vi17ONnNmJgoGPQhgZcysCIsS6rKQwMZrGR1ezFhgU3Oj1pyfn0CZI9gHgjf85KDAw86PzBdrrTggvpi4bG3IdhyUtyrGaDWXfA5V9C53EoX2KFog6wa36wNAIkO3xgpfgDn/4QLHjS/zh7PJzhI584kAafXQb5Uj9NUgu47IvgwLkusnoq/HyX3CR4XOJv/JdvpOteIMd2wv+GgisPnHliT5ecAtf/AXENYOuP8PllYlVn6PDL36Xz4MhHwWqv/vemCA8q9RSl1Cc+5L74ooD2SlIZQgcSiSEOG71oxU0MJ7boXmkPWfzEBhy4ceLBjc4ejvGp8splMdtZyz486Dhw40FnMxnMJT3oWDcevmAVrqJ/QwPpoLeFTNI5yJ5FsPQVyWC4C8GVKz96n10qk7FCoYh+GncN0KMWY0gwBnDaAzD+9aI20PWg/SiYNJ+TDgyFx2HGmXB8l8whrnw4tgOmj1ZeuXsXS7LBmSM2ae4COLAKPj7H/PhvJkH+4aKmIYacl/UnzP23/Ft+cblcw5Unf7oLYdHzsH95db4rRbhRQXGUcjpdgrx4bVjoS5uT221YGU137uNs7mcsF9LPzzd4KTuDJBg6BhkcJ4u6Ha0tZVfQv40bnTR2YwQscu4my1QF7MLDWvaxboYsvwWiWWD7nDAOWqFQRCypt4AlIMNosUlA3HaYPNc06H8d/O1PePAETJzr3/lu46fewjxfdDds/rLqxl4bWPpq8DxruOFoOhze5L/dlQ/7FksG2BePEzZ+AttmeZua+OIuhLXKk7hWo4LiKKUbzRlLD+KwY8NyMiAeR9m9YU5gEqkhMotdHK3TgXEhLtPtLjxBjh6lFca5nYQQC/rrCxUKRfSSnAJ/nQ0NO4E1TrLG7UbCtXPLrgnOyTCXYLjyIWM1ZK4NDvTqCjn7MZ1nLXbIPRi8vSQ8IeZlQ1dzdm1HaYqjmAG0ox9tycFBAjFBmePS6EgTDnICT8BM4sTDHDahY9CEJK4gtUS5RjTSmgbsIStoe1OSgjTFKTQ0vYYdK/1og/UKaQfqCrjH0N3QaUzYhqxQKCKclNMkC5ybIf628eZTR+jzh4M9SSRYfhiw6h2xdItJgks/g3YjwjbsWkHn8ZCxSrK5vngc0DKgb5M9AdqeBnsW+t9EWGOh15VS62EW/NoT4ZQrwj92RfWhMsVRjgULycSXOyAGOJUOxGHHYpLpLNYYHySHD1keJBmoKMfIZw17SecgHpOObpHCWHpix3oyC6whQe4EegUda8PKpQzAjvXkv6YdKz1oQVea02mMdKSyJ8qFLHb5QTxnihR0KBSKuoOmQb1W5Q+IATqMhlYDJajzw5Bg0Jkrlm8fTYC8MHXuLjgG62fKo+BYeK5ZFQy+AxKaSmBbjD1RCuPiTKzfL5wmHQNjkgCL/Nm4C4x6UpwrJrwu87TFDmhyrV5XQPszquf9KKoGzajK5ukhSE1NNdLSVLFWbSAXB4vYxjYOU4CLfJxBx9ixMomhtKxEUwkDg5+L3By0olDThoVrGBKxLY2PkMsitpPBcZqSxHA6lzjWfJxs5AAO3HSkqV8TDsOAvYsg/XuZfHtfBY06Vce7UJQXTdNWGoaRWvqR0YOas2sPbgeseFM63xVki7+xx+F/jC0OznoOTr2zcq+1YSZ8e4PXP1l3wwXvS3AYiRRkSUOUrd9LwDvkbrFSC4XbUWTJtgNa9JMMsa8lW9Y2WP+xyFO6nQ9thir7u0ilrPO2CooVZWYGS9nF0aDtsdi4mP50oVmFr72FTL5mTVDxWjJx3Mlo1bBCETGooFhRW1jyMvz2oBSIBXLaA3DWsxW/9on98FrnYDmCLQ7u3C7ZboUiUijrvK3kE4oy04Vm2Ew+Mh70oEYU5WUlu4MCYoACXGRyolLXVigUirpIu9PNu+DFJImdW2XY9HnI+mA2fl65aysUNYUKihVlZgApJBHrV0hmx8owOlW6mYfTJCAGcW4wC5brCkfSYesPYiSvUCgU5aFVKnQaV1SvUIQ9AVoOhE5nV+7a7kKxNAtEd4tvb10l96A09jiwUmRxitqFcp9QlJlYbNzMCJaxky1kEk8Mp9KBbjSv9LV70YpMjuMyKa5rVQmtcm3FmQefXCg6Y6tdlj+7nAOXfBzC4F+hUChMuOwzWDMNVr0nQWzfiTDwZvFBrwxdzoH5TwT7Ilvs0PXcyl27NmIY8OsDsOw1sMWA7oEGHeCa2UpKUptQQXEkYxjgcEBsbMSo9+OwM5KujKRrWK/bn7asZz8HycGFBwsaFjQuoG+dbHP8892w5w/wFHqzLn/+BPOfhNFP1uzYFApFaNx4sGKJmDoIixUG3CCPcNK8NwyaDGlTvE0x7PGQOhmaBZvwRD2bPpcCR0+hPACObIbPLoEbltTs2BRlRwXFkYhhwJQp8MgjkJUFTZvCf/4DN95Y0yOrMmxFDhZbOMifHCKJWPrTlkYkln5ylGHosO6D4IpxdwGsnKKCYoUiEtnFUX5iPUfJw4aVgaRwJt2DfMujiTEvQfeLxYEBxDUn5bSaHVNNsfTVYK95wwOZa+D4XkhuWzPjUpQPFRRHIu+8A3//O+QXtSY6eBDuugvsdpg4sWbHVoVYsNCTlvSkZU0PpUbR3aG7IjnrbhNBhSJiyeQ4M1lxsv7BhYc0dpOHk4voV8Ojq1pSTqu7gbAvhSE8mi12cBwHVFBcK4jeW9jazGOPeQPiYvLz4dFHa2Q4iurFGgMt+pvs0CpfMa5QKMLPH2zHHVAQ7EZnExnk4QhxliKa6HaBeb2H1Q5Nulf/eBQVQwXFkYauQ2am+b59+6p3LNWEEzcbOcBq9nKcOly27MO5U8Q2yWKX59ZY6bo07pWaHZdCoQjmMDmm9mQ2LGRH4Zyme2DbbFj5DmSsrunRRAan3Q9JLaXLHYBmFaeP8941t8VTRCbqvyrSsFigXTvYvTt4X6foa3G2i6N8wgpAw8BAx2A4ncJeyFfbaJUKkzfAsv/CwfXQ5lQYdDvUq9vKEoUiImlFMkfIC2p370GPurqIE/tg6umQf0Q0swDtRsIV39RtZ5z4RjB5Hax8F7bPhgbtYPDfoHmfmh6ZojyooDgSefZZuOEGfwlFfDw8/3zNjakKcOPhU9KCPIoXs4OONKEtjWpoZJFBg3Yw9mXvc90Du+ZBwTFIGQ6JTct2nW0/w+z74Gg6JLWA0/9dZMkUGcXxCkWt5zQ6s4lMP091Oxb6k0I89hocWfj58mo4vscbEIPMS4tfghEP1tiwIoLY+jDsPnkUk7lW2kE37w2Ny5jrObIFfroDds+XzPOAG+HMp6VboKJqUUFxJHLFFWLD9q9/wc6d0LkzPPMMnHdeTY8srOzgSFBmBaRIZQ376nxQ7MvhTfDB2eDIkWDW7YAzHoXhpfwI7fgNPr0E3EX3Vzn7Yc69UiU99N6qH7dCURdoQhKTGMocNrGfbOKwM4QODKVjTQ8trBRkwf6l/gExiDPOqndVUOyL4wR8OB4OrhH5hMcpjVQu+7TkjHpuJrw3RM7HAGcOpL0lgfLVP1Xb8OssKiiOVC66SB5RjAcdQnh51uUudoEYOnw4DnIy8OuruuA/0HoIdCih+G7uQ96AuBhXvpjun3qn0ropFOGiJclMZGhND6NK8bgINWUHWUjWdX6cDBlpEgwXs302LHgKRj0e+rwVb0q3QN+53l0o2fgjW1TRXlWjCu3Kw44dcOedMHq0ZHEzMmp6RLWa9jRBN+lgZ8fKKagWQMXsXw6F2RCYVHflSwahJI6mm293F4oMQ6GIZgpxsYhtzGAp37GWg5yo6SHVapKaQ0OT5Lc1BnpeVv3jiVQ8Ltj0hX9ADF6v+ZI4sNL8BsNqh8ObwzdGhTkqKC4rS5dCnz7SVOP33+Hll6FnT/jzz5oeWUSjY7CVgyxmO1s5iO4T2cVjZxynYMNyMvlgx0onmtCVZjUz4AikWDJhRkFWyec26mK+3RYL8Q0rNy6FIpLJw8FbzGc+f7KLo6xlP++ziC2EcPdRnORAGix+EdbOAGeu/76LPoCYel59qz0R6reFkY9U/zgjFd0tNSBmuPLNtxfTop+4DQXicUGTbpUfm6Jk1OJpWbnlFsjz6ZzgcIDTCffdB999V3PjimDycTKVxeRQiBsdGxaSiON6hpGAiKoGkEJbGrKWfThw050WdKRJxLRIjQTaDClatgzAnlB6dmb0f+CTC72toovPG/6gkk4ooptFbCcP58kbcQMDFwY/sI6uNPe5FVcUo3vgiytg208S2FljYNadcO2v4ogD0Gog3LkN1kyDrD8hZQSccrkqAvPFHi+uE5kBdnWaBTqNLfncwbfDitf9s8W2OGh7GjTtGf6xKvxRmeKyUFAAGzcGbzcMmDu3+sdTS/iZjRwjHycedAyceMgmn1ls8DuuKfU4ix6cQ2860VQFxAHE1oPx/yfBrFb0jbUnQpMe0K+UBoedxsCln0KjzoAGic1g9NNw2gNVPmyFokYJXJkqxoXOUXJNzlCs+wC2zZJspscpWWLHcbmxNnyUbonNxJf3vHeh77UqIDbj/Pcko15cVGeLg7iGMObFks+r1wquXwQpp8t8b4uHftfDld9W/ZgVKlNcNux2sNnAY7IeUq9e9Y+nlrCZzKAfJR2DLWRiYKjgtxwMuBFaDoC0KZB3CLpfBL2uEBlEaXQ7Tx6GoWzYFHWHuBBWaDpGyH11ndX/E2eaQBzH4eA6WdpXlI2WA+C2jVI4d3iDFEWn3gIJTUo/t1kvuG6+mrNrAhUUlwWbDa68EmbOFNlEMfHxcNttNTeuiMesx1OorYrSaDkAznun4ueryVVRlxhCB75nvZ+TjQWN1jSgHiq1aUYoHSxaCfsUIUluC2c9U/Hz1Zxd/Sj5RFl57TU4/XQJhJOTIS5OLNMeDI8xYx4OcigMy7UihS40C8oFaye3171ve/Yu2Lc0uHAlkvC4xNt428+lF4QoFJHMKbQilXZYsRCLDTtWmlKPSxkQlusX4iKbfFOJRm2l70SRaQVij6+bWeL8I7B3iXgHRyqGAftXQPr3kHuwpkdT+1GZ4rKSlARz5sDWrbBtG/TqBSkplb5sFnl8xWoOkoMGNCCei+hPS5IrP+YaZjy92M9xHLhw4iEGK7HYGU+vmh5atVKQBZ9eLNZq1hjR6o16Aob9vepeM/cgbP5SAtsuE8pWoLF7IXxygWSENOTPi2ZAj4urbpwKRVWhoXE2PRhGRw5wnHrE0YL6lb6uEzffsY50DmJBw4aF8fSiVxTYSPa/XqzE9i0FV67oWTULXPY5WKw1PbrqQ/dIR7m108QJwuOA7hfDhVOrrpW1qwA2fwUn9kLrwdB+VOmZ4hP74YMxcGKP/D+5neI/f9azKstcUTTDqP673NTUVCMtLa3aXzfS8KDzX+aSh8Mv1xCLjTsZRTy1v5G8Gw+byeQQOTQliZ60xEYdml2BGWfB7gWg+zhI2BOkAK7rueF/vc1fw1dXy991j/yYDbqt5AIPRw683Co4i22Lh9s3S8tphaBp2krDMFJrehzViZqzvXzCCrZzpKj5kGDHytUMJiUKunAaOuycCzt/F1/iXleWvaV8tPDHs7DgSf/VMlu8aILHvhL+1zuyBaaOEP94VyHY46B5X3H9KKmI8d3BkLHKv8OgPREumAqnKN9oP8o6byv5RA2ylYM4cQctvnnQWc/+GhlTuLFhpTetOZPu9KFNnQuIcw7AnkX+ATHIZLu4lCrkiuA4AV//VSzY3AWgO+XPtCmSCQ5FeojKZt0jFekKhQJyKAwKiEE6cC5iew2NKrxoFuh4Fpz5lGQd61pADLD01WD5mLsAVr7j78IRLr64EvKPSlLCcMufGatK/o3I3gWHNgS33HblwbL/hn+MdYWwBMWapo3TNC1d07Rtmqb9MxzXrAucoBCPiR7NjU42BSZnKGob+UekE5EZVaFT2zYbNJP7Dlc+rP8w9HmFx80LaXQnFKrOd1GJmrfLTw4ObCF+No+hRPjRQmG2+XZ3ofg3h5PcTDiymaAKdHcBrJka+jzHidBe86HGryidSgfFmqZZgTeA8UBP4EpN05TFdBloRbKpgbwdK21Q7caigcbdzLVdFjt0HlcFL1iCGkovIcPR8Szz7fZE6HJO5YakiDzUvF0xmpAYlCUGcbVoFwXSCYXQZqj59iY9w68pLknBWtK+Jj3Mg2JrrFh2KipGODLFg4FthmHsMAzDCXwCXBCG60Y9bWhIGxr4ZR6sWGhIAt1oXoMjU4QLWyyMfdW/otsaIy2Wh5eSm8tcA/Meh4XPQFYZV2Y7jTHPZNgToM/Voc9r0g0G3CRB8MlzEiVYbj+qbK+tqFWoebsCxGBjBF2w+8jANCSRcRqdam5girAy7lWISfKuumkWmUPPeaPk807sh8Uvwe+PwN7FJQe1xdRrCY26BG+3xUGfa0KfZ7VL8xR7gnectgRp/jH03tJfV2FOONwnWgN7fZ7vA04Nw3WjHg2NKxnEUnaymr3oGPSiFcPpjFXJvaOG/tdBo06w+AU4vk8C12H3SVeoUPzyD1j+hjhVaBZY8IRM1ANvKfm14hrABf+Db28Q7ZvulsC877XQbmTJ5457FbqMFwN/t0Mm5B4XqyrmKEXN2xVkBJ1pRAKL2E4uDjrQmDPoRgNMvMwUtZIWfeGW1VJwdyBNmmkM/6f8GYot38CXV8m863HCkpeh2/lw8YfeTqShuHQmTD1dznPlSUDeuJt0DSyJnpdA466w/DU4vhs6j4f+N0gXVEXFqLT7hKZplwFjDcO4sej5NcBgwzD+FnDczcDNACkpKQN3795dqddVKCIdwwBnjtzJh9J+mbF/BUw/I7jQwxYHd+2EpBalX+P4Xtj4mUywXc+Vxh+K8BAN7hNlmbfVnK2oizjzxLGnPK2rXfnwQrPgboD2RLj4I+hehjUYRw5s/FTm7taDRV5Xl2zwqpqyztvhyBTvA9r6PG8DHAg8yDCMd4B3QOx9wvC6CkXEsuUbmHUn5GaIXCL1Vjjz2dBFd75s+kxseQLRLLD1B2n5XBrJbSUbrVCEoNR5W83ZirrEoQ3w7fWQuRrQJOt6/ntlc9/YNc88gHXlwboPyxYUx9Yr29yuqFrCERSvALpomtYB2A9cAVwVhutWnC1b4JdfoH596TpXv/KG7QpFWdm9QJbR3EUGIrobVkyRDMS5U0o/X7OJZCEoCtHMnSUUigoQUfN2Hg7SOYgHna40J5n4mhqKog6SfwTeHw6O495t22bJit3kDaVLyEqal1W2t3ZRaeGqYRhu4A5gNrAZ+MwwjI2VvW4FBwN33QUDBsD998Mdd0Dr1jB/fo0Mp9ZTWAgvvACnnCId/F55BZzOmh5VtaG7Ydlr8GYv+L8uMPdhscEpjflPegPiYtz5sHZ62c7vdYVUEAdieKDbeT7PdfhzFvx8Dyx4SpbdKssWMnmXP3iZX/mclRyh8j2pT+yDzy+Hp5Pg+cYw5z7VQrqmiaR5eyMH+C9zmc0mfmEzbzCPxVHi+VvdGIbIpt4bAq91gdn3QN6hmh5V9bL1RwlwX+0AX18Lx3aUfs7qqaLn9UV3wfE9sLsM4UP7EPUa9kToN8l/W+Ya+PVB+PWf4kVcWTJWwUfnwEut4P0RsOPXyl+TwkL4xz+gSRPp5nvppbBnTxguHPlEV0e7n3+W/7y8AGFPgwZw8CDE1P4OcdWGrsPpp8OqVVBQFOElJMCwYdLuug5UX312qWQLigM4a6wUzN28SorXQvFqeyl6CCQmCW5eKYURpbHgKVj4H/mRKy7SOP896F2Uy/O44KMJsH+pGL1bYyUjceln0NXEQs2ZC788II04dBd0niCFdck+C+jL2clvpONCDIuLq+pvYjiNSSp90CY4TsBrXSUTU2wyb4uD1qfCpHkVumSNEw2a4vJSVXN2Pk5e5TfcATZnNizcyHCaoSqGysPch4saTxT9BFrskNAEJq+HhMY1O7bqYPmb8Os/vHO2ZpV595ZV0LBj6PO+vd7cE9ieCOP+CwNuKP21d/wKn1wof/e4ZD7uNwkmvOH9uZz3OCx6TtpGg8yFp94tjVICMQz5v1z8vDT2aNlfuum1HeY9Zv9ymD5KWkQXLy3aE+CCaZXsaDdmDCxcKMExgMUCjRtDejo0rJ12sXWzo93UqcEBMUiAp7LF5eOXX2DtWm9ADJCfD0uWyJclyjm43j8gBpnIju+BzV+WfG7LgWBiP41hQP22wdvNOP0hWbY76zkY8xLctcMbEIPo1PYt8bZl9jhkrF9dHZzxMAxpNb36f1L45y6UDnbvDpLiDpB23HPZejIgBpljXejM58+yDdqEtTPkNX27LrkLpaL7gOoaXOdJJxPN5MviQWdDcGmKogTyj8KSl/yLvXSXNN9Z8WbNjau6cDvgt3/6z9mGR+bI+U+WfG7rU/3tKL0XECeKstDxLLhnryQbznoGbloO57zpDYiPbpWA2F0gq3yGLmNd+gocMlmj+e1f8PvD0txDd0kA/MHZkLHae8yc4hsAn9ymKx9m3102OzhT1q2DRYu8ATFIDJWXJzFWlBNdQbHLFXqfO8xtaErC6YTjxyvxqYwAliyBXJOlc4dD9kU5+5aa98Fw5kpRRUm0PyN4mz0Bhj8A9njQ0UknkwX8yUYOmDYDAMlKD7kLBk0OdpxY90FwpTMABuxbFvBelkgRSXF2Aop+LHK8LZylg2LwOzYw2EvFW9odWBFaKnFwfYUvq4gSdAzMP3fyPakuDAwKcWGU1P0mwslcbS67chfCjjnVP57qJnsnppO24SldAtGiX7C/e/GKVqtU+SnftwwWPg1pU6Agy/w68Q2lWG7ovcH2benfhega6pJ9vjiLWjUHzp2uApj/uPd5Zgj5Rd5hmd8rxLp1khkOJD8fli0L3h5lhKPQLnK4+mpZ2g/MFns8MLIUk9ZwUFgId98N06fLa7ZtC1OmwNlnS5B85Ihsqw0yjpYtRS6RH/CtjIuTfVFO/dbmBRK2OGjQPvR56d/Brw/gPzlr0OtqGPEwFODkfRaTQyFOPMRgZQ6buYFh1C9HcVGorkqGEexwcWgjpj8Wrnyvpi2JWNOW4wAJlMEyIwRNTwFbfLDGWtOgsYlhvaJu0YVmzGZT0HY7VnpQ9fOMgcFydjGfP3HiJgYrp9OVU2mPB50TFJJILLG14KeyXisJsALRLJDcvtqHU+0kNBXZghnJJazQHdspGVjfpAFAo65w9U+S0f3yStEquwtFOjfnH3DVD6G1xGZY7BJrBt7qaZbgOfv4nhA2ngZkrvU+TWoJWSYLecXNRipEly7mCb24OOjTp4IXrT1EV6b4ootg7FhILFoHiYmB+HiYMUMCvKrmmmvktQoLJWu9YwdccAFMmADNm0PfvtCsGbz9dsnXMQx46y1o317ey/DhsHx51Y/fl7/8BWwm30q7HS65pHrHUgN0GgOxycGm65oV+l0X+rxf7g8OADFg+2wJBH9hC8fIx1kkU3DiIZdCfqB8adPA7nPFxCRCq0H+2xp3NTePtydA86I5Lg47XTD3HsoiHzcmKY4y0P/6Iv21zwq5JQYadoK2p1Xokooooj7xnEl3bFhOtry3Y2UAKbSmQZW//ir2Mpd0CnGhY1CIm7ls4TPSeJFfeJuFvMQv/Mj6kCs6xezgCO+wkKeZxevMYz37q3z8vjTtKTehgcGULQ6G3F2tQ6kREhpD1/PAGuAvbE+A4Q+GPm/xiyZzNnA0HQqPS+Hi1h9lZc7wSDLBlQufXWLePTQUPUP8bGoW6Bmg/63fxvwGB+T/uZgRD2Eq1dPdcCS97GPzY/Bg6NEjOHkXEwM3Rr9nXHQFxRYLfPEF/PijVE4+9pjYs118cdW/dkYGfP+9vwYX5Pns2SI7yMuTjPG998IPP4S+1hNPwN//Drt3S6Z20SIYNQrWrKna9+BLgwbw++/QsaPcUMTHQ9euos1ONBNf1V4MA/b8AavfF92WYcgPy3ULoEV/+VGxJ0ByCvx1trTlDMWxEEXzJ/ZIxmETGUVLxj6vj/yglme5uMfFojG2xcsjpp4E8Vd8F5zhbne6FJlYfOY4zSLvq++13m2hipoMDLZxuMxj8yWhCVy/SIpDNKtkS3pcCBPn1olaTUUZOJUO3MwIhtOJ0+jERIYwlp6lnxgGFgTo6AHc6KRzCCceXHhwo7OWffzK5pDX2ckRPmEFmZzAjU4WefzAelZRvQ1PrvoRUoZLYBiTBPGNpOiq1cBqHUa1cCRdXCP+nOUNTi+cJl3krLHy/mOTpTit87jQ1zmwwjy4tcVJYLxmqrlUTXeJzK6s1G8D50wp+j1JlN8UWxyMfw0atPM/NrZeUeIjIJdnT4CRj3ifN+wkc2oghlEJHbmmSU3RJZdIEsxigSFD4I8/JLkX5UT+mlB50TSRSlSHXCItTWzK1q+XykybTYLfQPSAYCc/H556Cs49N/jYggJ4/vlg2UJBATz+OHz9dfjGXxoDBsC2bbB9u/y7duwYdZFMwTGYMRqytnlXjFr2h6t/hoYd4OY0CWkM+QAAIABJREFU6WfvcUCDDqW//fptIHtX8PbE5qW3+iwPmgbnvQND7oFdv0N8Y7FrM1sy0zSYOA9+ugM2fSHZjvYj4dy3pS10MfmYpyZ0DHIx+VyXkaY94fo/vC2ry9PdT1E3aEISZ9Ctyl/nOAUsYyc7OUI8MeSU8XPtRmcVeziLHlhNckm/sSXIQcNVVLzanxTTYsKqILEpTPwdcjKkwK5x1+j7vhk6fHudZHA1q8wpsfVg0nxo1Bku+1Q0v/lHROoWSmpWTLPeIiMzAhbDPA5JJoQqDapIyVC/idBlPKR/DxiS2U4KEWeOfUVuapa+IgXRjbvB7mHPcNEdX5Genk5sbCy92g2hj/0ZGjkDBMy6WGFWmAYN4OOPZeXb44HYEuyWoowo+7pUI++9Jz7IZkFwWdgX4hO7d6+5yN0wYNYseP11Wd54/HERvbdsCf/+N1x+ecXGURqaBp07V821I4CfbodDm0D3cWzYvwLmPiRVxCD64rIy6gn44Vb/Agl7ApzxmPy9By1Yz36/bLEGdKAJlgos3DTtIY/SiG8Il3wEF39QlAk30Ut3pAnr2HdS2uFLCo3KPbZASvtxUiiqkgyOM40lQZnhsqJj4MRDvMn3NJSfdz5O5rCJfrRlBbtJJxMrFgaSwjA6mQbY4aBey5JXtGoza2fApi9F31uMKw8+vUis50CCyfgyTlnD/g4bP/Gfs23x0OUcSXL0uw72Lg7OFlvt0GZI+cef2KxsFm8Wq/xujHxUAnaLDcaOncdtt93GoEGDMAyDf93/CO+vPIvb2ESCzxxtTyg5O15mbDZzGWUUU7febbjIzYU776x4QKxpohM2o2XLYAlGMQ6HyEKcTm/2+ehRuO46OHBAivwUZcbQJXMaqN3yOKTRRnFQXB76XCPFHnMfEtP8+MYw8jEYeIvsP5se7OUYuT6FdrHYOJfelX4/ZUGzmErQAOhKM5qQxCFyTma97FjpTnPlF6uo9XzPugoHxCC6+7gQP5lx2E1vJgHS2M0ydqHhrXddyDb2k80VDDI9RxGaFW8EB6iGDlnbpVFHSX7EZjTtAX+dAz/eBoc3iPRiwA1w9guyv9dfxIZz28+iPbbGyjx62RfVk4XXNOlyCjB79my/fTM//4Dk+skciFlEZ4d0drLFFQXzE6t+bNGICoorwrJlJa+jx8fL3dWIETBokHSF85VDGAbs2gXZ2bJM4cuuXSW/tq93YDH5+fDIIzB5cp1a5qgsxV6RZgR6/ZaH/tdLdsHjlOyo70clgRhu43S2coiD5NCYRLrTHBs13wvUgoWJDCWN3axnPzYsDKQdfShHqlyhiEDceDhI6HaSxY1qGpFIX9ow16eJjS+HyQ26QXTjIZ/QE0axq4vvarsbnZ0c4SAnaE79cr2Xuo7L5CcQJLPqCpFPKo2U02DyWpmzLTZ/qZtmgcs+F/3wzt8k0XHK5ZHRDCUnJwfd0BnzUEM8v0phYM9L4dQ7K+E+UcdRQXFFqF+/ZEHRWWfBdz7Gg7ouGmJfbfGqVXDFFdKFz5eff66YblfXYf9+0f0qyoTFJg4Iexbi94ulWaHz+MpdW9NCd72zYKE7LehOC/MDahA7VobSkaGoz5EierAUuVuEsh2Mw84/GHPyeROS+Jjlfkfn4WQGS7ibM/1uYjM4gRVLkKa4dDQyVVBcbnpdId0+3QHBsT2xbFKykggl8dI0aDtUHpHEXXfdRb9+/bjqX0Ox/rumRxMdRJf7RHWRmirWambExoo1my+//x5cbOd0wrx50n7al8TEivkYezzQ1NxSSxGa84qKzWxFFsH2BMkAjH2lZselUCjChwWNU2gVcn+PgBvUA2SbavzdJk4sMViDHGXKggYkl8ObXCEMuQsadRF3CZBA1p4IF38Y3mLmSOfee+/ljz/+4Msvv8RqrfmVxmihDn2Ewoimic1akybB+5xOmDQJ7rvP22EvM9P8OjEx0tDDl0svDQ6gSyM+Hq69Fuop3Wd5adId7twGo56EvhOlrfLf/izZ7F2hUNQ+xtOLViSb7lvDPj4h7aTLSg6Fpr7EOnqQE0sz6pFE+RIZFjTqEUe7MBSw1jViksQV6JwpIlM77Z9w+yZps1xXuOeee5g5cyZz586lo1odDisqKK4o3bpJlvfbb6VBR3GFpmGIxvett+Dmm2XbmDHmFZwWi3SP8aVZM2jXLvhYkOA3MVGu27SpdJiJj5dCu9deC997q2PEN4Jh94nH5eA7IFatZioUUUcsNm5kODdyGgNJwebz86djsI1DTGMxOgYdaEJMCJ1/YCCrodEpROMbCxpWLPSgBU1IxIqGFY32NGYiQ6vNqi3asMZAn6vhgvdh1OPiIV9XuOuuu/j444+ZO3cu3bt3r+nhRB1KU1wZLBY4/3yYOlXkC74UFMDMmXDmmXDKKaJDzsnxZo8TEqQALycHGjXy6oj37ZOmHWa0awcrV8q5b70Fhw9DcrIExwqFQqEolVY04ADZQQGpjkEOhSxlBwnE0IAEssgLcmJJJBYd3U9esYkQq4HA3xhFfWSOzseJFUutaButiDxuv/12PvjgA7755hsaNmxIZtEqdFJSEklJSTU8uuhAfTPDwebN5oV3DgfceqsEz04nDBsGx45B66Jq/jvvFK/jli0lyB0/XoLkUPogXfe2q7ZY6kR3GYVCoQg3R8gzdZdwofM7W7GioWPQmEQ0NGxYSSaOdA6yiUxsWBhBZ4bSEQ0tpNWbgUEC3pZjCeWUWSgUvrz5prSpO/PMM/22P/roozz22GM1MKLoQwXF4SA1Ff7801wLnOdjqLhihRTXPfOMNOIotlfbvVu0xAsXQt++IonICzBijI2Fiy6qsregqB3kHpRFhcQQdZ4KhaJ0WpKMHatpMOtBP7k1izzOoBs2LPzKlpPHe9CZz5/YsTCIDnSgMX9yKKjcrgX1I8JuUVFzFGZLR7r6rStfCGhUpI2eolwoTXE4eOghCWRLo7BQtL8//RTsN1xQAM8+K1niqVMlI1ycMU5IkGzy/feHf+yKWsGhjfBWX3i1HbySAm8PhCPpNT0qhaJ20pOWxGPHUoqm14VOGrtZyLagANqFhwVsB2AMPYnFfrJDnRWNGKycQ5+qeQOKiKcwG2aeDy+2gNe7wctt4M+fanpUitKoHUHxihXSmGLiRPjhh9LdGbZuFe2ty1XyceGiRw9YsADOOEOC40aNzJto6LoU55lpgA0D0ouinHPPlfd8880wYQI8/TSsWyfXVUQNhg4H0mDPH+AuoTmiIwemjoBD66XbnscBmath6vCKm9VXhu2/wEcT4O0B8PsjUJBV/WNQRDbZ5DOXLXzJalaxp9ROcjkUsp9sCqmeOduOlRsZTi9anewqGSo8duMhD/MvaB4ODAwakcjtjGQ4nehEU06lA5MZGdLtQlF7OboVds0rfd6beT5sny3ztbsAcjPg88vg4LpqGaY/mzZJ/NSvH1x/vTfWUAQR+fKJ556DJ56QzKquw1dfwdlnwxdfiK7Wl507pfBtxw7Jslqt8N57cMklVT/OAQPEjxjEZq2tiadXYiL89a8SQAdis4nmuJiePaFIP6SIPg6ug4/PkWyCZpHeIRdOgx4mCplNnxd12PNdOTPEvH7zV1KFHYgjB9Z9CJlroHkf6H0VxCVXfvlu6avSwtpV1KDx8CZYMxVuXSsuHgrFLo4ykxXo6Hgw2MpBFrGdGxlOvI++FiTb+hWr2cZhbFjwoDOEDoyiW5U7MyQRy4X0A0T7+zrzOEa+3zEWNLrTgh0c4Sh5QddoVKQ5BkgklpF0rdIxK2qOgiyYeQFkrBT3C3chDL0PRv8nuN/W0a2S8AjsjOouhCUvy1wfiO6G9O8k6ZDUQixCk9tKp75KsWSJNBRzOMQQYMMG+OwzkXKmplby4tFHZGeKMzLg0UfF4qw4O5ybC3PmyMMXXRenh02b5PicHGmjfO21sq06adIEnn/eXwKRlAQjR8JVV0lxXUJAD0abDe6+u3rHqagRPE6YcSac2AfOXHCcAOcJ+PJKOPpn8PHH94Ar+PcYZy4c2xG8PXs3vNYZfvkHrHoHfr4Tnm8E/4mDL66oeGbXmQu//csbEINkQfIOwzLlCKhAgstvWIMLz8nucS48nKCARWwLOv5H1rOdw3jQceDGjc4ydrGGvdU6bg2NC+lHDNaTEgg7VuoRx0i6MoaefhZucg6MoHO1jlNRc3x5NexfLllfx3GZ+5a8COs+CD72+B7z7niGLlK4QNwOmHo6fD0RVk6B+U/A/3WAJ+3wv9Pg4PpKDPyOOyQmKnbI8nikZumuuypx0eglsoPiOXPM/X3z8iRj7MuiRZKhDZRWOBxVk3E1DMjKCi3R+Nvf4I8/RPZxzTXw0UfS+tlqlYB53Dj/20tNkyyyo4R1dEVUsO1nc7mExwFfmWR9Ww0CWwjXvd0miw6z/gb5R72BtFH0ldBdklmeNrLkLuWhyFwDVnvwdo8D/vyx/NdTRB/ZFJCPM2i7B4NNZPhtc+FhIxlB7ZFdeFiMyd1eGHDgCinlaEtDbmMkw+jIKbTibHowmdNJIIYuNGM03fxy1xoac9hEdkB2WRF95B+BXb+DHvDR9jjhx8nBGeHmfYPbUBeTtc07Jxez6l3IXAuu3KINxfsN2LdYpHI5/l+fsmEYsHq1+b7lyytwwegnsoPixMRgiQRIYBnYve3QoeA1DJC7or1hzjp88onYqrVsCQ0aSPc6tzv4uP79pbBuxgyRdRRnjbOypNjONzIpKBBrt48/Du9YFRFHQRZ4QtxLZayErO3+2zqPCy172LNQMs2+bJsNRggJp+6C7F2we365hgyI44Vu8jEHb8tVRd3GjiVkw2N7gFrPSYgPE5gG1pUhg+O8zUJe4BeeYzafsMJUJ1yfeEbRjUvoTyrtiCkas4FBGrv93puOQSEufmNLWMeqiDwKs0PLGFwFsOFT/22JTaFFX/PjDbdokn1Z9yG4S7i3cjsgbUqZh+tF00J3ui2LOUAdJLKD4gkTzLfHxEgrZV+GDhUv4EASE0NfpyL88gvccINIO5xOWZaYMgXuuafs11i0SN5DIGYZcEXU0W6kBKdmaDbY8av/NosVYkPU61hskhX2xVpKpYDuKd254sgWSHsbNn3pzXg07gpNe2I6a+xbIhq6QPIOyUNRN0gijpbUD9IDi3WZf6fOBGJMfXs1oB2NwzamXAqZzlIOcgIdo6h73WFmsBQjZAjvTyEusgmuajWA7RwJ21gVkUmDDjI3m2LIClwgDbsEbwPJhZ3Y77/NVkp86nHAwbWlDPLwYXGumjZNVs2LufVW8+L+wkKJXQI5flyaiNVR+7fIDooTEuD776UbXL168oiLgxdfhN69/Y9t1Uq0M4mJ3m1xcVLwds014RvTE09IIOxLfj7873/B3sKhaNDA/ANnsUj7ZkVU07ADtBxovs8aA3ENgre3G2GeLbbapRjDl15XmuvZitEs0KyX+T7DgO9uEmeJOffCt9fBS61g5zz4/HLIWAOYmL+4C2H2fd7nhzfBlH5iH/dKW3gnVYpPFNHPJQygAfHEYCUGKzYsdKclA/HvxauhMYFe2H1+hixoxGDjTLqFbTyr2Ise8KHVMThOAXs5VqZr2LCGLPtT3emiH4sVht4bYqcGiU2CN3cYBfbE4O2GB1oP9t+Weov5scXY4kRGF5Jp0yAlxdsQrG1bmD5d7GLffDPYAhZE+nn//V7JZnY2XHABNGsGXbpAmzbST6GOodWEGXRqaqqRlmaSVgpFQYHoiwsLpYqycYgsgmFIpvW11+Ru57LLRNsbavmgIrRuDQcOBG9PTIT166FDh9Kv4fFIy+b9AbeLCQniYDF4sPl5iqghazu80TNYoxabDPcdAHtAHebRrRJYuvK90gh7Aox/Dfpf73+s4wRMHyXZ4MACPWus6N1uXCorawsWLODFF19k5cqVHDhwgP9Mnoo2Y1LQeRabZMWM0Cve2OLgoQIpyHu1HRQcw+uYoUFCE7h7N9hr+aqdpmkrDcOoU2Xb5Z2zDQx2k0UOhbSiAY0J/Yu/n2wWsY0s8mlLQ06jEw1ICHl8efmK1WwgeM6OwcoEetGHNmW6zhesIp3MkwWEIBnwM+jKUDqFbbyKyET3wIvNoSBgZc6eAJMWQKuARIerAKb0laI7j8N7bPeL4OIP/Y81DPj+Zlj/UVG9ic89nGaR34U70kWWEcSePdCtW3Dga7WC3W4eEBdTr56sXPfuDaefDsuW+a+4JyTA0qXBSchaSFnn7dpxixsfL3cwpaFpYr9WkgXbrl3w3/+K7+/gwRI0t2pV9rEMHCjSicCbCYvF2765NKxWCfLHjpXgXdPkru3FF1VAXEdo1Aku+Qi+meTVqllj4MrvgwNiEOnCzSth/uPia5ycAiMegs5jg4+NrQ83Ffkf71kE22bBgRUS2Pb5K5z1nFd+n5ubS69evbj22mu59tpr2TUP2pgseITSEvsSX3SvuvGzook90EKuALZ8LfZwiuhGQ6N9GSUQrWnA5YT+rSrExSr2sJ3D1CeeU+lAC+qXeSxtaEA6mbgCssUGBs3LcZ1z6U0uhWRwHEuRfVxPWnIqHct8DUXtxWKFSfPhw7GSeNA0qQ0Z+3JwQAxy83/TcvjjWdj0hczrg26DATcFH6tpcP67MOw+2DFX/I33LJDAuuNZMO7VEAExiD2tWXLT4/E6ToTC6ZTV6a1bIS0tWILqcMBLL0kmuo5QO4LicJGWBqNGyX+0yyXuEG+9JT5+J07AsWMwZIjIG0LxxBPw22/+EoqEBHjsMXOdcCh69pT2zkuXymsPGyYyEUWtxOOCtLdg1XtSWdx3Ipz6t9CuEQA9L4UuEyR4tcZCymkSuIaicZfgDEMoNE0kF+1GwIh/hj5uwoQJTCjS3E+aNAlPGYJfM+wJ3uXFUBZyrgLZp1CUlQKcvMNC8nDiRkcDNpHBBfShOfXJIp+mJJWYWe5LW/5gOx6c6EV3ajYstKNxuYLiOOxMYhiHySGbAppRj2Rq+bJHHSf9O1j8IuRmSkHz8AehXsvQxzc7Be7ZA3uXgDMH2g6TJEQo4hrAWc/Koyw06S6PwbeV400U+w+Xl5gYGD0aWrQQ7+KYGFmV98Xjge3bzc+PUupWUHzrreJzXIzTKcHxwIHeZh8OBzz1FNwbQkDUr58033jgAQmyW7SAhx8WO7XyYrH4N+xQ1EoMA2aeJ04QxR6+8x6F9G/guoUlN8ywJ0CnMdUzzrLQdijY9/t7EZdEcdCfOhmGFNlstxokbhTOXP9j7fGl6OIUigAWs4NcHCclCwbFDT/WoCFaXw863WjOhfQ76THsSyw2bmI4c9lCOoewYWEAKRX2GG5KPZoSRkmeokZY9BzMf9J7A5+2CzZ8ApPXQ1Lz0OdpFklgRAznnw9PPmnugGWGzSaxzqhRMHOmbOvb19wONjZW+ivUIepOUOxymfv1GUbw3dG//y2BcqgPw8CB8Ouv5vsUdY69iyXb6xtIuguka932OZKBiHQMQyQSO36Bri7JWOtukXRYbJDUGk74aOM0q2iE//K1OFLE+bhjdB4nco/Dm7zOFbY4Ke7rMLr635ui9hKo4S2mOOPrKbJ1S+cgf7AtZEe5esRxQVH3OoXCkQPzHpd5uhjdJU05lrwMZz9Xc2MrFwsXSrwCkmQzDFkmjIsTHfD69f6r2vHxYhF72mliKVtM06aSNHz3Xa9hgM0mmuM776y+9xMBRLb7RDixWssub8jPh9dfr9rxKKKGvYtFGhCIM1c0vbWBeY9KwJuTIT8OugcsMTDoDrh9M9yyEvpdBzH1xD6ox0WicW471D8gBq/2buh9kNxOHsPuh2vnmluJKxShiDOxbDPDjU4au6t4NIpo4dCGEG0NnJIYqBX8+qvUJc2fL4k9XZc458ILZTV78WKRe7ZsKbHP0KFSyH/ppf4BcTEvvyz1VqecIvuvuQZWrRI3ijpE3ckUWyzyn/zBByVXYxZz+HDVj0kRFRxaj6lNmTUW6pWjhrOmcJyAxS/418WJ1YRkUpKLnLTOfUseZSEmCUb/Rx4KRUUZQge+5UTILnS+OMtwjEIBkH84tEQsOcV8e8Rx773Bq9xuN2zcKKvZII3F7rsv+FwzNE16MNxwQ3jHWcuoO5ligFdfFUlEfDwkJ8sSg1nHvISEkh0sFIoiDB22/mC+T3dBryuqdzwV4cgWc19j3SU6aYWipuhBCwbTHhsWYrFhx2qqGwbK7HahUKx8O/S+QXdU3zgqxaZN5tu3bq2zjTfCQaWCYk3TLtM0baOmabqmaZHv25mQAD//DGvXwkcfSVvl11+X7cVrKQkJ4jV8/fUlX0uhAAqPmzstgMgM4htW73h82b0Q/jcUnqkHb/SAjZ8HH5Obm8uu7DXsK1yDgc5x9pDBGrLZAxo0qlgtkiKCqU3ztobGmXTnLkZzMf2ZxFAmMgQ7VixF7TSsRQHzGHrU8GgVtYWD6823W2OhQTvzfdXCrl3SXyE5WSxen3pK6qHMCCVraNxY6dQqQWXlExuAi4ES7rsikC5d5AEwebI4Srz+Ohw6JHqc666T4FihKIXY+hL8ekw6jDcO0eazOtg5Fz4+x1vodmQLfDsJHNn+PplpaWmMGjvq5PN5PMo8HqUvE7lYm8aQcnQvV9Qaat28nUgsXfAGAbdyOsvYySFyaE0DBtOeepTgf6hQ+NCkO5zYG7xds9Sg5O3gQejfXyxadV3+fOop6anw6afBxz/4oEgofF0nNA1uvrn6xhyFVCooNgxjM4BW2+9Khg6Vh0JRTixWGPEvaarhq1GzJ8Dop6p/PIYh+uDfHhRphy+ufPjtX9D/Bq9N3BlnnIFhGHx5FWz4lKBOSlu/h3anV9vwFdVANMzbDUlgHKfU9DAUtZQzHoO9i4Ln7IG3QkwJ7ZarjNmzpQAuN8DHsqAAvvsOduyAjgFNYho2DM4IGwb89JME04oKUW2aYk3TbtY0LU3TtLTDdbyI7Y033qBPnz7Ur1+f+vXrM3ToUH788ceaHpaiggz7hxSUJTSR58nt4cLp0pijuln3gQTogQFxMY4cKMz232bosPkrgooFdTesfr9KhqmoBag528uCBQs4//zzad26NZqmMa0OdfiKRtoOg8u/gsbd5HlsMpz2AJz9fA0MZvNmuPji4IC4mJgYaa4RyOuvm0sr0tNh587wjrEOUWqmWNO0X4EWJrseMgzj27K+kGEY7wDvAKSmptZpFXibNm147rnn6NKlC7quM336dC688EJWrlxJnz59anp4inKiaTDkHnnoHm/b5ppg4VMlN96wxgR3YDJ0Kaozw8xqrirI3iXWdkktoN3Imv03jAbCMW+rOdtLYDt0Re2n81i4Y0vNz9m89pp544xi3O7gLDFATo758VZr6AA7nGRnwy+/gN0OY8ZEjeS01KDYMIyzqmMgdYkLLrjA7/lTTz3FW2+9xZIlS0oPivPzpe1iy5bQpEkVjlJREWo6mMvNDL2vuBVzYCtpiw1aD4Z9S/23axboeHb5x6B7YPcCyDsknZ/qtwl9rGHAj5Nh7XSw2GVbfEOYOA8adij/aysENW+Hl8B26OVBx+AoucRgU22hI5CanrPZvj10m2a7XezVevUK3nfppfDcc8EBdVwc9OxZ/nGsXStZ6x49pMNdSUyfLvVYNptkhXQdvvxSguNaTt3xKY5QPB4Pn3/+Obm5uQwrqeWz0wmTJsFnn8mdIMBFF8HUqWIxp1AALVNh11yTHZrIPEY+Erzr+B5o3g8OrJQg1XBL8aA9Aca9Ur7Xz9oG00d7JRoeFwy+Dc5+0bwgev1HsO7DooLAoqJAVx58eiHcurZ8r61QRBIGBovZwXy24kHHgkYz6nEZA2lAdGTVFGFg9GjpTBfoOQwwYYJ0oAvkxAnpNhcTIwGpyyUBakwMTJvmjRHKQl4enHMOrFgh53k8MGgQ/PgjJJoIrLdtk4A4cLwXXQT790ODBmV/7QikspZsF2matg8YCvyoadrs8Awr+lm/fj1JSUnExsZy66238vXXX9O7d2/zg0+ckOWTmTPlA+t0yuPrr+XDqVAUcfbzEsziE4Ba46TpxukPewvsitnxK7zRE9a8LxIKzeLV192xBRp2FG3xwqfhpVZi7zbzAjj6Z/BrGwZ8fC6c2AfOHHl4CiHtbdjytfl4l78RbGln6HB0G2Rtr9Q/hSIEat6uegwMPmUlv7EFd1FTag8GGZxgBksxTFpXK+ooN98sRXN2u3dbXBxcey188gnUD9C77dkj7lmPPioSCk2Tc6++GlavlgAX4IsvJGOcmAipqfDbb+av/49/wNKlsgqdkyN/Ll0K999vfvxHH/k7XhRjscC3ZVbURiyVCooNw/jaMIw2hmHEGobR3DCMseEaWLTTrVs31qxZw9KlS5k8eTITJ05kg5mYHuCZZ+DAgeDtTqd8aapDP6SoFbQaCNcvhm7nQ73WUD9F5syf74YXmsKy//Meq3vgy6slKC22lNOd8ndbrLdw8JvrYMFTkJshrau3fg/vDZaW0L4c2VxkcxTwe+/KgxVvmI/XGeKja7GE9n9WVA41b1c9OzjCNg6Z7svDwW6yqnlEioilYUNpp3zLLZCSAm3bSsb3009l3y23+Esk7r4bjhyR4BUkDnC7JVju2lW2TZ8OEyeKHCI/H1auhPPOMw+MZ8wIlmA4HHINM3JzzYNij0eyzrWcutXRLoKIiYmhc+fOpKam8swzz9CvXz9eeSXEWvWnn5bcoSY7O/Q+RZ1h1zz4/HKYcy90GgP9r4eCI9Kq2V0okobfHoS1H8jxhzeB26Qoz10Ai14Up4rje2HzFwHHGVLMt+y//uc5c0ELsWpXeMJ8e6+/gM3EXtYWD02V45ailrKJjKL8cDA6BrmUUFilqDukp8tq7+WXixzilVfg6FFZHXY4oLAQPvjA33t41iyRTPhiGPD7795udg884A2aiykokO2BFBaajy3U9vNeOMk/AAAgAElEQVTPNy+qMwwYNy70e60l1G1NcUYGvPkmLF8uDTzuuEPu0ipDdrbcYaWliVj9+uuhUaNST9N1HUeoCtQYkx68xSQlSdGdok6z6AWY/5jXeWLvEvA4zL2K5z8Bfa+RYDSUdVthFswYDWc8IV2e3AHzo8cZXJjXol+wPAMkwD3lcvPXOfUuWP+x6JpdeVJsZ7WLpV2NF8AoIg4XHtawl60cIolYBtGeViRX6poedLaQyTYOkUQc/WlLIypnVhuqFTXIQkobarfuUhEGFiyA8eO9md5lyyTbGpiFLSiQxNirr3plFqEC1iFDJCt89Kj5/s2bg7edcQbMneufeNM0GDUq+FiA4cOlydk330hmWNOkrumee8xdMmoZdTco3rJFPkCFhXJHNm8evPWWfFD79ZMP56FDIhovayHbrl0weLB8UPLzpRrz6adFn1O8rAH885//5JxzzqFt27bk5OTw8ccfM2/evNBexTfdBA8/HPxFsFjEzqU8onpF1JF/FOY94h+4ukuwUsstUuI06gzJ7UT2EIQhXfAKj5l367PYoFlAQbQ1Bi54H766Rs4x3GBPFBeJQbeZjyW2HtyyCtZMhzXT5Lr9rxO7JIXCFydu/scissnHhY4GbOQAE+hNP8TiJA8HNizEYi/5YkW48TCNJRwhFyceLGgsYycX05/uPo52ubm5bNu2DZAExp49e1izZg2NGjUiJSUl6Lp9acMa9uIONP8GetNKFdrVdQxDftd9s7kl2bLFxEgSr2FD0Rq/8465R3FBgSTlkpLMV5DNkn5vvOGNhQoLRc8cFyc+yGZommSvZ82SzHZ2tmSIH3yw5PdcS6i78ok77/QuUYDcreXkyFLGjBnQooXc9TRqBLfdJvvLcs2jR70f9IIC+cAEFMNlZmby17/+lW7dunHmmWeyYsUKZs2axfjx40Nf98wzJTi3WuVDGRsrgvcrr6zEP4IiGti3RALSslIczGoaXPEN2EL8PutuKMiClOGSLfbFGgtD7g4+p8fFcMtKGHw79LgUxr8GN60ouUvUif0S1B/eAPsWw893wTupIt9QKIpZyR6OFQXEIBlXNzqz2MBujvIm83iV33iRX/iQZeQSIpvmwyr2cJgcnIgllo6BG51vWYvHJ6BNS0ujf//+9O/fn4KCAh599FH69+/PI4+Y2LkArWnACDpjxYKlqOpVA4bSgfMpxe5KEf0cP16+Bhu6Du3by9+ffRY6hPCrLCwUF4l//jNY4pCQAE8+GXxOt24iu3j4YWki8vDD8rxbt9DjKSiAJ56QhN+qVZLFTkmRZGMtp+5mihcsMNfpLlsmvcZ97+CmTZMP5ZQpJV9zzhxzrc+8ebLdYim63LTyjdVuhx9+kGWR5cuhTRu5M7OXLRuiiG7iGoaWQWhWMHwsMG3xcPYL3ueNu0rnvc1fBJ9rscv+v3wNP90BG2ZKoNy0J5z7tmSazWjSHca9Wvbxf30t5B/xvgdnruid5z8BY14o+VxF3WEzGaaZVw34iOV++3ZxlOks5TZGomHiBVjEBjJOBtm+GMABsmmLSN+K26GXhxF0oQ9t2M5hbFjoRvMyZ7AVUU5cnLlHJXi3F3/eEhLgX//yBrlJSfDQQ1JIF4jdDr17i3OEpkmRfm4uNG4sf7/sMvPXbNpUrllWnntOfI2LV69zc2WF/KqrJEiuxWjl/aKHg9TUVCMtLa3aX9ePhg3Nlxc0zTxYjouDw4flAxmK+vXNu8zExsqdVagvgUJRCQwd/ttBiuJ8a3vsCTD6KfEBzt4pGeLRT0tDjWIOb4Z3BgRrhgEadoK/bfXqhHW3yCLsYVz5LTwurhhmHfWS/r+9O4+PsroeP/65syWZkLBD2EVWAVEwCoKCdWlRLC7YKirWXdta993a5Wd3q1Vbv/r169oKalHcWqmALRVBdmRH2WVfAwRClpm5vz9OYjKZZ0LCrMmc9+s1L8kzmee5E+LlzH3OPacD3ONQdCXVjDELrbWFqR5HMqXDnP0G81njUNGhaiW29sY2H27GcSrdaB31nK8zl/XsiTjuxc11nE5BjPnKSkV11VWSYlkzbcLvlzvTq1fD559D+/aSlnDVVdXxQ3m53MkuKoo8Z3a2rPJWpUmEQrLAl5sb3/ije3dJF60tKws2bZJxp5n6ztuZu1J8002SM1OzAHV2tqzm1t61CZK2sGtX3UHx+PHw0kvhv+RZWXD55RoQq4QxLhg/DV7/jqy4Gpc0zfj2E1B4q3OaQ5VlEyHoUF3HuOG0n4RvnHN5IrvhJZSWclU1nEo3NrKXCqpvfRjAg+ub9Ifa9nOEbnWc8xS6spmisHMC+PHRnvwor1IqDp5/HnbuhNmzJWe4rAyuuELSI+raJ/Tpp9E74I0YEZ437HLVHbMcq7oWU1Ow0BpPmRsUP/aYlEOp6t1dUSG7KrOzJVWh9l+sxyNpC3WpuqXwxRfVx044AZ55JvprlIqD1r3h9vWwbQGUHYBOQ2QT29EEy8LTK6q4s6RWcU02JG2ks5rXnSPcENnNocMpsG1eeAqIOwtOvCo+11BNQ0/aMZwefMZa3LiwWPz4OJnOzGJ9RGAbwtLhKCu9fSlgEPtYxNeYykQLT+UKc11pF0rFLC8Ppk+Xld2NG6F/f+jU6eivq2t/k1NRgF27JMZp2fKYhxrhmmvg8cfDN/8bA337yip2I5a5QXFWlnRfWbsWVqyQpPK+fWH5cilPUlISntPz2GN1l0YD+UQ2c6aUY6s659ChukqsksIY6HRqw15zwqXSWKOi9s2REPQaXf3l8jdgyh2S72tDMGCcdMlzqjFcFxuCRS/BvD/LRrq+F8H5T8HE70rFjPJD4MuTihVOLalVZhtBLwrpxmaK8OOjMy2oIMgiNhMk9E0KhQcXx9OWdtT9ydBgGEV/htCdr9mHHx/H06bOkmpKxVXv3mHVqY5qxAjn5hm5uZLTW2XxYrj6ali3TmKZIUNkc/6xlJ395BPZWLdhg1TYeuAB+Ne/pMTboUMS+/h8MHFiw8+dZjI3p7guS5dKYvvcudCxIzz6KFx2WapHpVRCfHQbfPEKVByRdAm3D771/2DYvXB4N0y9F5a9Hr6S68mBvhfD2AbOgR/eIueqCsJdPmjWHm6aB+umwf6N0GEQ9Dw/fesUa05x+jlMGTP4itXswIObU+jK6Ryvwa1qmt56C667ToLjigoJSs86S2oHBwLSf+G++8LTLNxuudu9bl3Dyri+8QbceGN1WqnLJSvSM2dK+sf8+RJof+97EpinqfrO2xoUK5XhrJWybivflooTA6+C9gPh4Bb430FSB9kpv9edBXdvBX/0fUxhDnwNf+kTuanP44dzfgND74j5rSSFBsVKqZRbt07KxxYVwYUXwrnnShB85plSqcppNTkvTwLqaOVfawuFZGFw587w48ZIBayPPor9fSSJbrRToqxM0kQ2boTCQulSo+kcqgZjoMswedT0n5/BkSKibnhz++DQ9voHxdsWyGtqB8WBElg/vfEExUolksWykb1s5wDNyaEP7fGQprdNVOr06AG//GX4sTfflBRQp4AY5LhT1Yho9u51rtJlrdxJb4I0KI63PXskJzk3Vz65ZWUd/TWJsn49DB8u9QOPHJFNhAMGSH6QU+9ypWpYO8V5E14VG4KWDejqmd8ZQg7nc3mgVY+Gj0+peAgQZD17CBDiOFrjpwGdcOKsgiB/Yy47OUiQEB5c/As31zEs5tbTKgN88IH8ex+NywWnNmDjSX7+N/0VIjTyDXXRaFAcT08/LZ1kvF5Zfqtqw/zxx7BypSSo339/9G408Xb11bLztKqhyKFDUhnj17+Wh1J1yGoh1SacePww8tGG1SzueCq06C7to22NhQy3L3obaKUSaRP7eJP5lTdDLCEsI+nFESrYwB6ak8PpHP9NE49Em8VadnDgm0Yk5QSpIMhkFnMjZyRlDKoRa9tW8oWdSrb5fLJIVtiAzK+sLLj+enj55fDytX6/dL5rgnQXQrwsXCib80pLpYHHwYNy22H8eNnxuWgRvPginHSSVKZItKIiqYJRu8NeaankIakmK1AG2xfJprVYDL3DOej15cFFL8HwBxp2PmPgmmnQdZjkI3v9kNcJLn9PSsqB1Fcur2OhQ6l4qSDIm8ynjADlBCgnSIAQn/Alc9jAdg6ymp28zlyWsTUpY1rC1oiufRbYyUFKqKMUl2rcrJW4YPny2Or83nyzc5Usl0uC2A8/bPg5n3xSFtiys2VDX16eVKIYN06eD4Uk5mnk9Ymr6EpxvLz8cnjNvpqqflkCAVmtveceKWeSSNZGzx2OVvhbNTq7V8GX70ObftB3DHzxGkz5iTwXCkDBSdKmudkx3Ok65WbYuQwWvySl10IVUHAyjPsH5BxjyctmBXDtf+HwLim/1qK7/JpWlMi4l06QlI1WPaWVdLcRx3YdpY5mLbui9oep2R2vghBTWEF/OuBK8DqSjToiU8dzqlHZtw9ee01SLK+7TnobjB0r+bsg9YTffltKqDXUiSfCc89JVzyPR+KA/HyYMkWeOxY+H7zwAjzxhGy469JFVpCtlYD5V7+SuKZFC/nzLbcc23XShAbF8XLwYOSqrBNrYdasxI+nVSvJH168OPwTXFZWeC1D1SjZELx4ujS9qOLJllWlYI3PZlsXwIQL4JYa7eithfJiWamtq0OdccHoZ2HET2HnEmjeFdr2i8/4c9vJo8qk78OGT6SZCEiKxYTz4aYF0PaE+FxTqZqk2Uf9As0QIfZRQhsS0B2shgF0ZC4bCdZaLW5DM3JJ4f4UFR/33COBZJUf/lD+Ta6ZmnD4MJx3Hnz9tQSaNY+73bJiW5cf/EBKyH7+uQTeQ4ZEzwtuiLw8eVR5+mn4+c+rc5j37IG775bUivHjY79eimj6RLyMHVv/dorN6+6yFDevvy6fOqtqBzZrBr16wc+0K0Jj99Ht4QExSFWHYK2bFTYAe7+E3Svl69Xvw1PHwR/awO+aw9R7JGWhLnkdoOeo+AXEte3fKAFxRFWKMvj8icRcU6nutAlbEa5LEEsO3gSPCM6kF23IxVdZbcKLm2y8XMLJCb+2SrB//zs8IAZZSKsZEFcJBqV0GkhKxZAhEiDn58OYMbB7d93Xqtrof/rp8QmIa7NW9iXV3tRXUgK/+EX8r5dEulIcL9/9rtQH/PRT+UVxuap/GWuWR/H74a67kjOmE06Q8itvvSWdaE49VeoZevSvvbFb8kr9v9fllQ1zJXvhnSulBBpIOsT85yWH98LnEzPO+ihaLznGtYNiG4TdSUi/V5kpj2xG0otPWUuAIBbphBesFSq7MBxH66Ss1Gbh4SbOYA272Mp+WuCnPx3ISkJArhKsIYtRR45IqsKePXDGGXInuuqO75QpMHKkBMuJCHjrIxCoTveobcuW5I4lzjQ6ihe3W5LYP/hA8oHy8yU5/U9/gn/+U26RlJXBtdcmLygGud1x443Ju55KimAD9twEy6DDYElRCNRq5xwogSWvwXl/gKz8+I4RYO9XsHeNrDK3jFJ0pW2/yIAYpCpF56HxH5NSVYbTk+Now2I2U0GAfnRgJwf5jHW4KwPkTrTgUgYlbUwuXPShgD40zZJXGWvfvvp/b26uLLK9+iqUl4enQAYCsHkz/Pe/0ncg3nbtkk36BQUwaJDz3iSvV7rjbd4c+VyfPvEfUxJpUBxPbjdccok8qgwfDlu3yoptnz7Qpk31c4EAzJsnt0qGDpVfNKXqoW1/yfN1YjzVJc+8uXDmw5DdQgJUJy4vFG+PHhSHgrBuKuxYLBvjTrhE8pfrUlECb10Cm2ZKcBssg16jpS20u9bm6GYFcNJ4WDaxuv0zRq4x9O66r6NUrDrRgk5U5272oYAhdGcXxTQjm5ZUl2CxWHZRzGHK6UhzsnUFV9XXpZdGL4VatWgGcjd56FBp2/z6687pFaGQ9CGoKyhevBimTpUFuu99Lzz2cGItPPKIpHhkZUlc0r27lJTt2DHy+3//+/D2zyDtn//wh7qvk+Y0KE6GTp3kUdOsWXDxxfI/QlVN47//XRLsVZNwaKe0Tg4cgV4XxDcn99IJ8PxA2XBX0ym3QE5r+OpD8LeB0++G3hfKcx0LpdVy7TRKG5JNdE7KiuHVEbBvLVQcAW8OfHwX3PB59JVfkO/Z9KmsAAcq5/Q1H8GMX8I5Dv8ujH4eWvWGuU9D2QE47iw474/QvEt9fhpKxVcW3ojaxMWUMoF5FFGCC0OQECPpxXB6pmiUKt4qSmDVZGlx32mIzENxawD7s5/Bs89GdogbMAB+/GN46SUJTK+/Hm66SS582mmS/lg7d9cYGDjQ+TrWSmm2iRNlldnng3vvhXfekdbM0bz9NjzzjMQkVQH6qlUSzM+ZE/n948ZV1yvesAH69oXf/rbRxzDGpqC2XGFhoV2wYEHSrxth6VKYNk0S2MeODd/pmUgHDkhZk+Li8ON+v3z6a98+OeNQCbNqMky+Wv4cCkiVh9N+DOc9Hr9r7FsHH94M2xdIIPytx2DgVdG/f9dyeHEoVNSYX71+qTc8sjLdrWg9rJkix/teDJ/+CuY/W10VAqQqRZfhcN2nztexFn7jd06JyGkN9+9p+HtNJ8aYhdbaBlTAb/zSZc4uppTV7CCEpTftw1ZxE+3/mMkODoZ9pvTi5nsMpiftor5ONQ67V8kCQKC0egGg4GQYP+3od8bqraQEbr8dJk+WO8M33giPPRY9N/jQIQk2d+6s3puUnS0ryf/5j3xdVATvvSfnPv98CWQvvzwykM7Lk9SIaNUrhg+H2bMjj2dnw+rV0K3bsb3nNFHfeTszV4qrPklNmCC/aD4f3HGH5AQnIkentsmTncu3hULwxhtw552JH4NKmNIDMHl89QopVG5qew76XAxdh8fnOq16wA8+qf/3txsggezU+6RyRW57OONBGHSDPD/jFzDr94CRwPej28DjCw+IQVaWt8yRVeSsvNpXkQ1ygbLI4yC1iZU6FkvYwj9ZBsjNjk9YzVn0ZhiJ7xG+l8Ps4VBErYoKgsxlgwbFTcDbV8hm5Kq/5PJDsG0hzH4CRjwSp4v4/dLE68UX6/f9zZpJfu+DD0rgW9VhrmrT3pQpUn7NGIkf7r1XUh6cWj0bAzNmRF8tLipyPu7xyEJehsjMoPjDDyX4rMrVqaisSXXppfKJzKkjTDzt21d9zZpKS6Pv6FSNxrqPweWOPF5RAkv/Fr+g+Fh0GOwcSG+ZA7MfdyiLVhL5vd+IcpPJ5YGOp8C22guLRm5HKtVQhyjlnyyL6PY2g6/oRTva4vDpLI6OUF7ZuCNyMeOwdppr9Iq3wb6viJjTAkfgi1fjGBQfi4IC2XBX26FDkitcUmuS/vLL6OeqKzPgoovkTnVZrRUNrxf6JageZxrKzDrFr77q/EkqFILPPkv89c8+27ksWm4unHNO4q+vEqrOjKQUNaXasxr+83OYdj9s/jzy+SV/lVuGtbm8kQ0+jAs6nVZ3tYrRz4OvmbwepORaVj6MeurY34PKXF+yE6fUziAhVrA94dcvIN+xo5wHF33QdLfGLh3nbHbvlupVd90F774bXtoVZAOcU9pFKOQcX4RCsnkvmvvukwA8J0e+drtlZfuFFzKqjGvmvNOaav9y1ZSMFsiDBsmq9LvvVgfnubkSLI8cmfjrq4Tq+R3JI67N64cBKWgmOP85adIRqpBKEvOfhYHjYfRz1ZtIguU4Tv7uLGnpXFoktxN9zcDjh4tfrfuaHU+BHy6XjXM7l0LHU2HITyDPYROzUkdjiR6bhBxWb+PNg5vv0J9/saKyE54ExLlkMYQ6dpyqRiG/E7Q4HvasDD/uyYaTrknBgObMkQ1rwaDc0X7xRejdW/ogVDXjcrrbXOW442DbNrn77PNJ8Pzmm9UBr5NWrWSf1QsvSMDdtavkP590UlzfWrrLzI12kyZJz/GGJqLXVygE06dLOZS2beGqq6SmX+3veecd2XEaDEprxnHj5NOZavSWTYQPbpT821AAPFlw8nVw/p/juJu5Hg7thKePi0yL8ObC1f+CrmfI1+unw5sXh2/CA/lH4c6vYcvnsOMLaHEc9LtMAvxMpRvtku8gR/gLMyLSJzy4uJ5hFBB7l9CdHKxcdbb0o4PjOTdTxDw2cJBSetGOQrppWbYmYucy2WgXrJB50NcM2pwA185I8nxnreQFb9oUfjw7W0qm/fSn8nVRkZRKK601uefmSv5x8+YS3Obny8a7DN/AX995OzOD4lAIrrgCPvpI8nGysiRSmTQJRo+O7dyBgHS3++wzyfnJypJAd9IkuOCC+IxfNQoHNsOKv1eWZBsNHZJX//8bi1+BKT+JDHYxcNptcP4z8qW18MENMt6KEkmZcHnggmdh0HVJH3Za06A4NeaxgemsJoTFYnHjYijdOZu+MZ97JmuZyRqClUF3PM+tGo+yYljxVnVJtp7fkXSxpFq7VlZna+cKg1SiWLWq+utXX4Uf/UjijkBA0h2+9z14+eXkrr40Alp9oi4ul9T+mz1bPkm1bClBcocOsZ974kSYObN6Fboqaf3KK2UVOtGb+FTaaN4Fht2T2jG4vc5zozGSGlHz6zEvweAbYfX74MuFE6+EVlqCVaWJ0+hOT9qxgm2EsPSlgPbE3oZxH4eZyZqwVegAIeawgQF0ol2CN/Gp9JGVJ3NgSnm90ZOca+f2XnutdL6bMEFijjFjYNgwDYhjkJlBMcgvzfDh8oinv/7VeROftZInNGJEfK+nVB16Xyi1jGtzZ0fWNDYGugyTh1LpqBW5nEmvuJ7zS3Y65isHCfElOzQoVsnVrRv06AErVoQHx36/lJKtrUeP6hJtKmYx3RgwxjxujFltjFlqjHnXGJOk7hdpLNpKsLUZtYNTpYfsFtJa2ZMjecSeHMkTHvmoFKZXmUfn7XBujGNlC4OpLMOmVJK9/bbsR8rLk1xiv1824v/wh6keWZMXa5Q2DXjIWhswxvweeAh4IPZhNWI33iidZmonv+fkwJAhkd+/Zw88/bSkcXTuDPfcE//Va5XR+l4Md2+RtIhAKfQeHb2ts8oIOm/X0JcOTGN1xHEXhn5EptQFCfEFm1nKVty4GExX+tMhSmit1DHo0we+/hr+8Q+pIjFsGJxySqpHlRFiCoqttVNrfDkHuCy24TQBgYBzqZRHHomsLLFrF5x8sjTzKCuTzjUffwz/8z9SjcJJKAT//jcsWyYlWkaN0ooV6qhyWumGOSV03g5XQQCngm/daB3RRjqE5XXmso0D35Rm28p+1rGLi4h+62UnB9nIXnLw0pcCfBmcuajqKSsLxo5N9SgyTjzvDV0PTIn2pDHmZmPMAmPMgt27d8fxsmnmvvucax2//HLksT/8QTrYVW3Gs7a6N3q5Q5ekAwdg8GC45BJp+zhunHyi3Lkzvu9BqSZs/XR461J47Vsw/3+cm5ZkkKjzdqbM2TNZ61jpeBN7KSO84PhadoUFxCCtnlewnV0UR5zDYnmfJbzELKazmo9YzpN8whaitNRVSkVauRJuukk2FT78MOzYkbBLHTUoNsZMN8Ysd3hcVON7HgECwIRo57HWvmCtLbTWFrZt2zY+o083FRWwebPzc6sjb8/x0UfOwa+14WVXqtx/vxw/dEheV1wst1huvTW2cSsVJ0eKYNbj8MZF0j1v/8ZUjyjcp7+Sesyr34WNM2DaffDycAiUHfWljUo85u2MmLORlV6nbnUuXBQRXhZrA3vDAuKaNrE34tgqdrCS7QQIESREOUHKCfAWCwilrFWaUjVUVEj1irFj4YYbYO7cVI8o3CefwKmnwiuvSKnbJ5+E/v1h48aEXO6o93CstefW9bwx5gfAhcA5NhVFj9OJxyPl3fbti3zO5ZJNeG631BF86ilo1845+K2ogNatI4+/+WZkEF1RIXlHwaCmUaiUKt4G/zsYyg5KbeZ1PlmJHT81PSpaHN4FM38d3sikogT2fgXL34CTr03Z0OJO5+36a00ue4msGFROgFeYTYAQXWnJ+QwgFx9uXN/UM67iwuAncpP1Ir52DKIrCLKN/XSmZfzeiFINVVEB55wDixZJ1ayqzne/+Q3ccUeqRycLhDfdFF6zuaxMxv3ww1ICN85irT4xCtmgMcZa61BpOsMYAw89JDtFaystlb/I0lKpkTxihPQ0r/29Xq9syKvdAQ+it6C29ijN25VKvE8egZK9EhCDtI6uOAzvX5/acVX5eha4HYrDVByG1e8lfzypovN2uDPoibfWP4Wm8lFBEItlE/t4hdkcTxtcDhvqXBh6E9kxLNpqsMHoSrFKvUmTqgNikD1LJSWSnlmUBik+e/bIRsPaQiGYNi0hl4w1p/gvQB4wzRjzhTHm+TiMqXG75x5pw5ifLyvDfr/8t2bQWl4uaQ85OfDoo/Lf5s3l+3JzYcsW2Wi3Zk34uS+6KLKsm8sF3/qWlntTKbfmH2ADkcf3b4CSPckfT205rZw/OxoX5GZWB1Sdt2voTEvGMph8snFhcFeGxLV/VQIEWcUOvs8pZOPFhwcvLry4yMLL31nAxlopFCfRGS+Rd/AM0ImMroSn0sGkSc59FXw+mDEj6cOJkJsb/bnmsbd2dxJTUGyt7Wmt7WKtPbny0XSSWydOlLyV1q2lPfPSpfV7XdVq8b59sH27LP075Q2Xl0vqxIMPStL4gw9KgLt/P6xbJzk+gwfD8uXVr3nySejUCZo1k69zc6FNG3jhhdjfr1Ix8jaL/pwnO3njiKbrGZCVD7UX+jzZUNh0Zq6jaqrz9maKeI3P+QNTeYGZfEn9NyD3pj13cDb3cB6XMgifQyAbxLKdA/SgLfdyLmMYiMEQIMQBjrCOPbzBfJay5ZvXnEhHutLqm8DYjQsvbi5lMG6tgaxSrWVLiTtqs1YW9lLN75cufVlZkcfvuishl9T/K5388Y8SzK5cKcHtv/4ltYNXrqz/OdxuaNUKBg50/rTj88EJJ8if8wzDbgQAABP6SURBVPLg2WfDaxsHg/IJ7sEHq4+1by8b9p57Du69V+obr18P3bsf2/tUKo5O/RF4amUDubzQ4zvgqyNgThaXG66ZDi26yXiy8sHrh/P/Ah0GpXp0Khab2cfrzGET+yilgh0cZDKLWVIjQD0agyEHL+3Ii8gZBmnyUYCsTrlw8SU7KtMrqlUQ5GNWEqp8vQsXV3Iql1PIMI7nW/TmNs6iJ01346JqRG65RZqD1JaTAyNHJn88Tl58Ueo0V91Rz8qCa65JWCMTk4o9FoWFhXbBggVJv269lJZKJ5lDh8KPu1xw6aVyu6EhDh+Gnj1h9+7qnGCvF3r1klrDLpeUZevY0XlFuUWL9MjtUeooQgGYPB6+fE+CYRuC1n1ko53fYd9oqlgL2xfKhsBOQ8BXxx06J8aYhdbawsSMLj2l9ZwNvMJsNjuUOcsli7s5p8GNNSYyj43sJVAjOPbh4UeMJB8JIv7EJxRTGvFaL25uZUREjWOl0tJTT8nd7ao0z+xsmDpVeiikkzVrYNMmGDAACgoa/PL6ztuaiFrb1187Hw+FYN68hp8vN1ded9ttUoLN7YbLLoNnnqm+bdGsmfMtDJBAesYMOOushl9bqSRyeeCyN2DfOtjxBbQ4DjoMloyidGIMdMyokLbp28lBx+NHKKeMANl4G3S+73MK01nNYjYTIEhXWjGK/t8ExADNyHIMiisIsoE95NNZUyRU+rvzThg/Hj79VFImRo5Mzz1KvXrJI8HS8J2nWEGBdKVzcvzxx3bOLl3g/fflU5hThJCVJRvr/vpXOFKrk0BxMYweLQ09fvvbY7u+yljBcvjqn1IvuGOh5NUmOkht1UMeSiVLHtmOZdU8uBzzg4/Gg5tR9GcU/bFYx5Xm4fTgfZY4llz7mJUsYQvXMFQDY9Uw1sKsWTB/PnTrBhdeKKu4idS6tTQFUxoUR8jPhyuvhDfeCA9Q/X6pFBGLuqKRp5+WAHjSpMg20SUlssnummuq85CVOor9G6UxRVkxBMukHFnByXD1VPDmpHp0SsXPWfTmA5aGBahe3AyhO64Yg9JoqRf96MB+SpjBV2FpFiCrxds5wGI2U0i3mK6vMkhpKXznO7BwocQBWVlyJ3nWLN07lCT6EdbJc8/BdddJYndWlqwev/QSnH124q6ZlSUVJ66PUtS1vFyqUXzwQeLGoJqUyVfDoR1QXiwrxuWHYNsCmPmbVI9MqfjqT0fO4wRy8OKprPAwhOM4i94Jve4wenAxJzuWXQsQYgrL+Q9fOnbMUyrC738vK8SHD1d3rd25UxbqVFLoSrETn0+qQTzxBBw8KGXPouX8xlv79rIRr/ZqMcinyHHjpJRb166xX6u0VFo6ZmdLG8VkvUeVcKX7Yes82exWU6AUlrwGZz+WmnEplSiFdGMwXTlCOdl4k5a2kIM36mqyBeawgQLyOYEOMV/LYtnGASoI0okWjsG4asReeSUyhTIUkgYbe/c6d7pVcaVRUF2ys6UVczKDxWuuqTvJPRCAv/0t9uu88468tzFj4LzzJMhesiT286q0EApGz9YJRUmZV6qxc2HIJSupebzdaBXREa+mCoLMYUPM19lFMc/wb/7GHN5iAU8wjWVsjfm8Ko1E61prTPTnVFxpUJxuevSA//s/WS12Ul4urQ9jsWaN7DYtLpaV8OJi2LpVeqA7lYVTjY6/NbTtT0SjCncWDLg8JUNSqkly4eIqTquzwsURYptXQ4T4G3M4QCnlBCkjQDlBPmQpuyiO6dwqjVxxRWSjCoDevWURSyWcBsXp6KqrYPZs5x2nzZrB+efHdv6XX3ausFFeLo1KVJNwyd8gu4U0qABpWNHyeBj5i5QOS6kmp4Dm3MXZjivGbgy9aXhd1Zo2sNexykWQEIuIUkZUNT6PPip9Daq61vr90qtgwoTUjiuDaE5xuioshBtukDJtVb3Jc3Ols96558Z27l27nHOWQyHJW1JNQrv+cMcGWF5ZO7jzEOhzEbgbVrJVKVUPXjx8l5P4kKUEKjvdeXDhx8cwjrGcZ6UjOMzXSM7yYcpiOrdKI/n5sHixbKifM0fKwI4bJ4GxSgoNitPZs8/CqFGSTlFeDldfLf+DxJrjfMEF8NZb1cF2lWBQm4Q0MdnNofDWVI+i/r6eBTN/DfvWQpfT4cyfQuvE12tXKi4G0JHW5DKXDRzgCD1oSyHdGtw8pLautKrVUFp4cdOb9jGdW6UZrxfGjpVHY7BhA/zqVzBzppSNe/jh9GkRfQw0KE5nxshGuDFj4nveiy6CQYNkR2tJiRzLzYWbb9ZaiCplVk2WNtGByl/JovWw6l24cQ607ZfasSlVXx1ozsXEt0VuPtmcTnfmsvGbNAovbtrSjH5xqGqh1DFZs0buah8+LItqa9bAZ5/JQl4jLSOnQXEm8njgk08kNWPCBAmIb7lFOucolQLWwke3VQfEADYotZWnPwDjPkzd2JRKB2fTly60YiGbKCNAfzpysraSVqn06KNw6JCkXlYpKYE77oDLLwd34ysZqEFxOvr736Wt865d8vWZZ0rzkJ4943cNnw9uvFEeSqVYyR44ss/hCQubZyd9OEo1yHb28x5L2MMhLNASP6M5keNpE9fr9KIdvdAqBCpNfPppeEBcpaQEtmyRNtWNjH7ETDd//rPkDe/cKctn1sovXmGhboJTTVZWXvTncjUGUGlsK/t5idnsrgyIAYoo4Q3msRmnT3pKNREFUaqqBIPQqlVyxxInGhSnk7IyeOAB509ehw7JarFSTZAnG04aD56c8ONePwx/IDVjUqo+PmYFIYdNcEEs/+GrFIxIqSR58EEpG1dTdrZsEsyrY6UjjWlQnE7WrZOVYSfBICxcmNzxKJVE5/8ZTrgE3NmQlV8dEJ/0g1SPTKnodnAw6nO7tbGGasq+/334+c9lX1J+vjQeufBC2WjXSGlOcTpp1y56K0eXCwYPTu54lEoiTzZcOgFG7YHibdCyB/hyUz0qpermx8dBSh2fa0OzJI9GqSS7/3647TZYuxY6dIC2bVM9opjoSnE6adNGyqUZE/mc3y/NPJRq4vxtoP1ADYhV43AmPXHV7qcOuDCcRZ8UjEipJPP7YeDARh8QgwbFqREKwZ49zl3lXnsNLr44vEFH376wYIEEzUplsN2rYMO/4UhRqkeiMs0RKhxbLQ+ma0RgnI2HyzmFbjTOzUZKxc22bVICdtOmVI+kXjR9oiG++gp+9zvJ7R0wQJLMTzyxYed48UV46CEoLpZ6wbffDo89Vl3Pz++HyZOhqEgC527dpHyaUhns8G6YOBp2rwCXF4Jlkm888ufON1aUAjhCOXPYwFfsxE8WQ+ne4JJmm9nHByyliBIMUhbtu5xETmWXOoNhJL0ZRg8OUkozfGTF2MFOqUYvEJCSr2+9JbnGZWXw7W/Dm29CTs7RX58iGhTX1+LFMGIEHDkieb/Ll8N778GUKXK8PiZPlqLWVV3kysrg6aflz7/5Tfj3tmwpD6UUky6DHYshFKg+NvuP0O5E6NdIuqGq5Cqlgv9lJocpJ0gIKGYLRYygJ8OpX833Ikp4nXlhK8Rr2MVE5nEDw8O+14ub1mjOj1KALCBOmgSlpfIAmDoV7r4bnnsutWOrg6ZP1Nddd0lZtKqNcKGQBLc//nH9z/GLX1QHxFVKSuCZZ5xTKZRSHNwKW+aGB8QAFYdhzpOpGZNKf/PZSMk3AbGoIMh/WUMp9Ztv57Mx7PUgpdZ2UVxn1QmlMt5f/hIZ75SWwquvOpedTRMaFNfXnDnOx1esqH9Au3mz8/FAAA7qBKuUk9IicEe5G12yJ7ljUY3HGnYTIPIfXzcutnOgXufYzSHHGsQuDPspcXiFUgqIHtOUl6f1IqAGxfXVooXzcb9fcoPr46STnI/n5WmqhFJRtO4DLof/xVw+6HVh8sejGod8sh2Ph7DkklWvc3SlJR6HfyaDhGhPfkzjU6pJO/NM5w0fAwZIjnGa0qC4vu68M7JzS04O3Hpr/Xf6/O53kefw++W4S/8qlHLi9sLo56SZR9UGf082+FvDGdrtTkUxhOPw1vonzgCtyKUd9eu2dQrd8OEJK7jmxUVfCmiJP+rrlMp4f/qTLPh5K2/zeTzS5OP551M7rqPQSKy+7r8frr1WPuE0by7/HTs2coNcXYYOldIkZ50lK8MDB8Lrr2v9YaWOYsAV8IMZ8t8uw+CMh+BHyyG3YYUEVAbpQitGMQAfbnx48OCiA825klPrfQ4/Pm7iDAbQkRy8NCeHkfTmYqLc9VNKiX79YNky2Xc1bBhcfz0sWgSnn57qkdXJ2GhthROosLDQLliwIOnXjYu9e6VzS/fu0oFOKZVRjDELrbWFqR5HMjXmOTtAkJ0Uk4OXVlodQqmMVN95W0uyNVTr1vJQSimV9jy46USUPSFKKVWDpk8opZRSSqmMF1NQbIx5zBiz1BjzhTFmqjGmY7wGppRSKv503lZKKWexrhQ/bq0daK09GfgH8LM4jEkppVTi6LytlFIOYgqKrbU1qzPngkOVc6WUUmlD522llHIW80Y7Y8yvgWuAA8C36vi+m4GbAbp27RrrZZVSSh2j+szbOmcrpTLNUUuyGWOmAwUOTz1irX2/xvc9BGRba39+tIs25vI+SqnM1hhKssV73tY5WynVmMWtJJu19tx6XnMi8E/gqEGxUkqpxNF5WymlGi7W6hO9anw5Blgd23CUUkolks7bSinlLNac4t8ZY/oAIWATcGvsQ1JKKZVAOm8rpZSDmIJia+3YeA1EKaVU4um8rZRSzrSjnVJKKaWUyngaFCullFJKqYynQbFSSimllMp4GhQrpZRSSqmMp0GxUkoppZTKeBoUK6WUUkqpjKdBsVJKKaWUyngaFCullFJKqYynQbFSSimllMp4GhQrpZRSSqmMp0GxUkoppZTKeBoUq9gUFcHtt0NBAXTuDI8+CkeOpHpUSimlHISwfM56nuHf/JFpvMcXHETnbKUAPKkegGrEysth6FDYuFH+DPDHP8J//ysPY1I6PKWUUuE+YAmr2E4FIQCWsZW17OZHjMSPL8WjUyq1dKVYHbt33oFt26oDYoDSUli0CGbPTt24lFJKRdhPCStrBMQAFignwEI2pW5gSqUJDYrVsZs7Fw4dijweCEhgrJRSKm3s5CBuh3/2A4T4mn0pGJFS6UWDYnXsevYEvz/yuM8H3bolfzxKKaWiao6fEDbiuAtDa5qlYERKpRcNitWxu+oqCYBrcruhRQu44ILUjEkppZSjAvJpRx4uwvd7uHFxGselZlBKpRENitWxa9kSZs6EQYMkOPb54IwzYNYs8OgeTqWUSjdXchq9aIcbgxsXrfBzJafRitxUD02plNPIRcVmwADJH963T1aJmzdP9YiUUkpFkYOXyymknAAVBPHjw6CVgpQCDYpVvLRqleoRKKWUqicfHnwaAigVRtMnlFJKKaVUxtOgWCmllFJKZTwNipVSSimlVMbToFgppZRSSmU8DYqVUkoppVTG06BYKaWUUkplPA2KlVJKKaVUxtOgWCmllFJKZTwNipVSSimlVMbToFgppZRSSmU8Y61N/kWN2Q1sStDp2wB7EnTuxiDT3z/oz0Dff2LffzdrbdsEnj/t6JydUJn+/kF/Bpn+/iFN5u2UBMWJZIxZYK0tTPU4UiXT3z/oz0Dff2a//8Ym0/++Mv39g/4MMv39Q/r8DDR9QimllFJKZTwNipVSSimlVMZrikHxC6keQIpl+vsH/Rno+1eNSab/fWX6+wf9GWT6+4c0+Rk0uZxipZRSSimlGqoprhQrpZRSSinVIE06KDbG3GuMscaYNqkeSzIZYx43xqw2xiw1xrxrjGmR6jElgzFmlDHmS2PMWmPMg6keT7IZY7oYY/5jjFlljFlhjLkj1WNKBWOM2xiz2Bjzj1SPRTWMztk6Z2cSnbNFOs3ZTTYoNsZ0Ac4Dvk71WFJgGjDAWjsQ+Ap4KMXjSThjjBt4Fjgf6AeMM8b0S+2oki4A3GOtPQEYCvw4A38GAHcAq1I9CNUwOmfrnJ2B85XO2SJt5uwmGxQDfwLuBzIuadpaO9VaG6j8cg7QOZXjSZLTgLXW2vXW2nLgTeCiFI8pqay12621iyr/XIxMMp1SO6rkMsZ0BkYDL6Z6LKrBdM4WOmdnCJ2z02/ObpJBsTFmDLDVWrsk1WNJA9cDU1I9iCToBGyu8fUWMmxyqckYcxwwCJib2pEk3VNIYBVK9UBU/emcHUbn7Aykc3Z6zNmeVA/gWBljpgMFDk89AjwMfDu5I0quut6/tfb9yu95BLk9MyGZY0sR43As41acAIwxzYB3gDuttQdTPZ5kMcZcCOyy1i40xpyV6vGocDpn65xdi87ZlXTOTp85u9EGxdbac52OG2NOBLoDS4wxILehFhljTrPW7kjiEBMq2vuvYoz5AXAhcI7NjLp7W4AuNb7uDGxL0VhSxhjjRSbXCdbayakeT5INB8YYYy4AsoF8Y8zr1tqrUzwuhc7ZOmdH0DkbnbNJszm7ydcpNsZsBAqttXtSPZZkMcaMAp4ERlprd6d6PMlgjPEgG1TOAbYC84ErrbUrUjqwJDISUbwG7LPW3pnq8aRS5arDvdbaC1M9FtUwOmfrnJ3SgSWRztnV0mXObpI5xYq/AHnANGPMF8aY51M9oESr3KRyG/Axslnh75k0uVYaDowHzq78e/+i8hO4Uiq96Zytc7bO2Wmgya8UK6WUUkopdTS6UqyUUkoppTKeBsVKKaWUUirjaVCslFJKKaUyngbFSimllFIq42lQrJRSSimlMp4GxUoppZRSKuNpUKyUUkoppTKeBsVKKaWUUirj/X+NCIIhuxUdkgAAAABJRU5ErkJggg==
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">labels</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">df_pca</span><span class="p">[</span><span class="s1">&#39;Actual_label&#39;</span><span class="p">],</span><span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;Actual_label&#39;</span><span class="p">])</span>
<span class="n">labels</span><span class="p">[</span><span class="s1">&#39;Kmeans&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df_pca</span><span class="p">[</span><span class="s1">&#39;kmeans_clusters&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">replace</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="mi">0</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="mi">3</span><span class="p">})</span>

<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Kmeans Accuracy </span><span class="si">%s</span><span class="s2">&quot;</span><span class="o">%</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">sum</span><span class="p">(</span><span class="n">labels</span><span class="o">.</span><span class="n">Actual_label</span> <span class="o">==</span> <span class="n">labels</span><span class="o">.</span><span class="n">Kmeans</span><span class="p">)</span><span class="o">/</span><span class="n">labels</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="s2">&quot;%&quot;</span><span class="p">)</span>
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<pre>Kmeans Accuracy 79.7752808988764%
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<p><h1 style="color:gray;text-align: center">NOTES</h1></p>
<p><hr></p>
<div style="color:gray;text-align:justify">
<p style="font-size:14px;">With an accuracy of 96.6292% on Full-feature set, we can say that the clusters are well-separable. However, on the set of first two PCA components, we notice a drop in accuracy to 79.7753%. This is because these two PCA components cover only 55% of the total variation.</p>
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<p style="font-size:14px;">I went with 3 clusters since there was strong support from both Hierarchical Clustering and K-Means Scree Plot.</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">selected_measurements</span> <span class="o">=</span> <span class="n">df_normalized</span><span class="p">[[</span><span class="s2">&quot;Total phenols&quot;</span><span class="p">,</span><span class="s2">&quot;Flavanoids&quot;</span><span class="p">,</span><span class="s2">&quot;OD280/OD315 of diluted wines&quot;</span><span class="p">,</span><span class="s2">&quot;Nonflavanoid phenols&quot;</span><span class="p">,</span><span class="s2">&quot;Proanthocyanins&quot;</span><span class="p">,</span><span class="s2">&quot;Color intensity&quot;</span><span class="p">,</span><span class="s2">&quot;Alcohol&quot;</span><span class="p">]]</span>
<span class="n">kmeans</span> <span class="o">=</span> <span class="n">KMeans</span><span class="p">(</span><span class="n">n_clusters</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">max_iter</span><span class="o">=</span><span class="mi">1000</span><span class="p">)</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">selected_measurements</span><span class="p">)</span>
<span class="n">selected_measurements</span><span class="p">[</span><span class="s2">&quot;kmeans_clusters&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">kmeans</span><span class="o">.</span><span class="n">labels_</span>
<span class="n">non_selected_measurements</span> <span class="o">=</span> <span class="n">df_normalized</span><span class="p">[[</span><span class="s1">&#39;Malic acid&#39;</span><span class="p">,</span><span class="s1">&#39;Ash&#39;</span><span class="p">,</span><span class="s1">&#39;Alcalinity of ash&#39;</span><span class="p">,</span><span class="s1">&#39;Magnesium&#39;</span><span class="p">,</span><span class="s1">&#39;Hue&#39;</span><span class="p">,</span><span class="s1">&#39;Proline&#39;</span><span class="p">]]</span>
<span class="n">non_selected_measurements</span><span class="p">[</span><span class="s2">&quot;kmeans_clusters&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">selected_measurements</span><span class="p">[</span><span class="s2">&quot;kmeans_clusters&quot;</span><span class="p">]</span>
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<pre>c:\users\ke381281.wipro\appdata\local\continuum\miniconda3\lib\site-packages\ipykernel_launcher.py:3: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy
  This is separate from the ipykernel package so we can avoid doing imports until
c:\users\ke381281.wipro\appdata\local\continuum\miniconda3\lib\site-packages\ipykernel_launcher.py:5: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy
  &#34;&#34;&#34;
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plot_4_centroids</span> <span class="o">=</span> <span class="n">df_for_plotting_centroids</span><span class="p">(</span><span class="n">non_selected_measurements</span><span class="p">,</span><span class="s1">&#39;kmeans_clusters&#39;</span><span class="p">,</span><span class="mi">3</span><span class="p">)</span>
<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span><span class="mi">6</span><span class="p">))</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;K-Means Cluster Centroids - Non selected features&quot;</span><span class="p">)</span>
<span class="n">parallel_coordinates</span><span class="p">(</span><span class="n">plot_4_centroids</span><span class="p">,</span><span class="s2">&quot;elements&quot;</span><span class="p">,</span><span class="n">color</span><span class="o">=</span><span class="p">(</span><span class="s1">&#39;red&#39;</span><span class="p">,</span> <span class="s1">&#39;yellow&#39;</span><span class="p">,</span> <span class="s1">&#39;blue&#39;</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="n">rotation</span><span class="o">=</span><span class="mi">45</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><h1 style="color:gray;text-align: center">REFERENCES</h1></p>
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<ul>
<li>https://en.wikipedia.org/wiki/Wine_chemistry</li>
<li>https://winefolly.com/review/understanding-acidity-in-wine/</li>
<li>http://www.wineanorak.com/polyphenols_in_wine.htm</li>
<li>https://www.vitis-vea.de/admin/volltext/e054492.pdf</li>
<li>http://www.mdpi.com/journal/molecules/special_issues/wine-chemistry</li></ul></p>
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