Image Classifier Project.html

<!DOCTYPE html>
<html>
<head><meta charset="utf-8" />

<title>Image Classifier Project</title>

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

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

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

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

*/
.highlight-base {
  color: #000;
}
.highlight-variable {
  color: #000;
}
.highlight-variable-2 {
  color: #1a1a1a;
}
.highlight-variable-3 {
  color: #333333;
}
.highlight-string {
  color: #BA2121;
}
.highlight-comment {
  color: #408080;
  font-style: italic;
}
.highlight-number {
  color: #080;
}
.highlight-atom {
  color: #88F;
}
.highlight-keyword {
  color: #008000;
  font-weight: bold;
}
.highlight-builtin {
  color: #008000;
}
.highlight-error {
  color: #f00;
}
.highlight-operator {
  color: #AA22FF;
  font-weight: bold;
}
.highlight-meta {
  color: #AA22FF;
}
/* previously not defined, copying from default codemirror */
.highlight-def {
  color: #00f;
}
.highlight-string-2 {
  color: #f50;
}
.highlight-qualifier {
  color: #555;
}
.highlight-bracket {
  color: #997;
}
.highlight-tag {
  color: #170;
}
.highlight-attribute {
  color: #00c;
}
.highlight-header {
  color: blue;
}
.highlight-quote {
  color: #090;
}
.highlight-link {
  color: #00c;
}
/* apply the same style to codemirror */
.cm-s-ipython span.cm-keyword {
  color: #008000;
  font-weight: bold;
}
.cm-s-ipython span.cm-atom {
  color: #88F;
}
.cm-s-ipython span.cm-number {
  color: #080;
}
.cm-s-ipython span.cm-def {
  color: #00f;
}
.cm-s-ipython span.cm-variable {
  color: #000;
}
.cm-s-ipython span.cm-operator {
  color: #AA22FF;
  font-weight: bold;
}
.cm-s-ipython span.cm-variable-2 {
  color: #1a1a1a;
}
.cm-s-ipython span.cm-variable-3 {
  color: #333333;
}
.cm-s-ipython span.cm-comment {
  color: #408080;
  font-style: italic;
}
.cm-s-ipython span.cm-string {
  color: #BA2121;
}
.cm-s-ipython span.cm-string-2 {
  color: #f50;
}
.cm-s-ipython span.cm-meta {
  color: #AA22FF;
}
.cm-s-ipython span.cm-qualifier {
  color: #555;
}
.cm-s-ipython span.cm-builtin {
  color: #008000;
}
.cm-s-ipython span.cm-bracket {
  color: #997;
}
.cm-s-ipython span.cm-tag {
  color: #170;
}
.cm-s-ipython span.cm-attribute {
  color: #00c;
}
.cm-s-ipython span.cm-header {
  color: blue;
}
.cm-s-ipython span.cm-quote {
  color: #090;
}
.cm-s-ipython span.cm-link {
  color: #00c;
}
.cm-s-ipython span.cm-error {
  color: #f00;
}
.cm-s-ipython span.cm-tab {
  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
  background-position: right;
  background-repeat: no-repeat;
}
div.output_wrapper {
  /* this position must be relative to enable descendents to be absolute within it */
  position: relative;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  z-index: 1;
}
/* class for the output area when it should be height-limited */
div.output_scroll {
  /* ideally, this would be max-height, but FF barfs all over that */
  height: 24em;
  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
  width: 100%;
  overflow: auto;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  display: block;
}
/* output div while it is collapsed */
div.output_collapsed {
  margin: 0px;
  padding: 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
div.out_prompt_overlay {
  height: 100%;
  padding: 0px 0.4em;
  position: absolute;
  border-radius: 2px;
}
div.out_prompt_overlay:hover {
  /* use inner shadow to get border that is computed the same on WebKit/FF */
  -webkit-box-shadow: inset 0 0 1px #000;
  box-shadow: inset 0 0 1px #000;
  background: rgba(240, 240, 240, 0.5);
}
div.output_prompt {
  color: #D84315;
}
/* This class is the outer container of all output sections. */
div.output_area {
  padding: 0px;
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.output_area .MathJax_Display {
  text-align: left !important;
}
div.output_area .rendered_html table {
  margin-left: 0;
  margin-right: 0;
}
div.output_area .rendered_html img {
  margin-left: 0;
  margin-right: 0;
}
div.output_area img,
div.output_area svg {
  max-width: 100%;
  height: auto;
}
div.output_area img.unconfined,
div.output_area svg.unconfined {
  max-width: none;
}
div.output_area .mglyph > img {
  max-width: none;
}
/* This is needed to protect the pre formating from global settings such
   as that of bootstrap */
.output {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.output_area {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
div.output_area pre {
  margin: 0;
  padding: 1px 0 1px 0;
  border: 0;
  vertical-align: baseline;
  color: black;
  background-color: transparent;
  border-radius: 0;
}
/* This class is for the output subarea inside the output_area and after
   the prompt div. */
div.output_subarea {
  overflow-x: auto;
  padding: 0.4em;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
  max-width: calc(100% - 14ex);
}
div.output_scroll div.output_subarea {
  overflow-x: visible;
}
/* The rest of the output_* classes are for special styling of the different
   output types */
/* all text output has this class: */
div.output_text {
  text-align: left;
  color: #000;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
}
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
div.output_stderr {
  background: #fdd;
  /* very light red background for stderr */
}
div.output_latex {
  text-align: left;
}
/* Empty output_javascript divs should have no height */
div.output_javascript:empty {
  padding: 0;
}
.js-error {
  color: darkred;
}
/* raw_input styles */
div.raw_input_container {
  line-height: 1.21429em;
  padding-top: 5px;
}
pre.raw_input_prompt {
  /* nothing needed here. */
}
input.raw_input {
  font-family: monospace;
  font-size: inherit;
  color: inherit;
  width: auto;
  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;
  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0em 0.25em;
  margin: 0em 0.25em;
}
input.raw_input:focus {
  box-shadow: none;
}
p.p-space {
  margin-bottom: 10px;
}
div.output_unrecognized {
  padding: 5px;
  font-weight: bold;
  color: red;
}
div.output_unrecognized a {
  color: inherit;
  text-decoration: none;
}
div.output_unrecognized a:hover {
  color: inherit;
  text-decoration: none;
}
.rendered_html {
  color: #000;
  /* any extras will just be numbers: */
}
.rendered_html em {
  font-style: italic;
}
.rendered_html strong {
  font-weight: bold;
}
.rendered_html u {
  text-decoration: underline;
}
.rendered_html :link {
  text-decoration: underline;
}
.rendered_html :visited {
  text-decoration: underline;
}
.rendered_html h1 {
  font-size: 185.7%;
  margin: 1.08em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h2 {
  font-size: 157.1%;
  margin: 1.27em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h3 {
  font-size: 128.6%;
  margin: 1.55em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h4 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h5 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h6 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h1:first-child {
  margin-top: 0.538em;
}
.rendered_html h2:first-child {
  margin-top: 0.636em;
}
.rendered_html h3:first-child {
  margin-top: 0.777em;
}
.rendered_html h4:first-child {
  margin-top: 1em;
}
.rendered_html h5:first-child {
  margin-top: 1em;
}
.rendered_html h6:first-child {
  margin-top: 1em;
}
.rendered_html ul:not(.list-inline),
.rendered_html ol:not(.list-inline) {
  padding-left: 2em;
}
.rendered_html ul {
  list-style: disc;
}
.rendered_html ul ul {
  list-style: square;
  margin-top: 0;
}
.rendered_html ul ul ul {
  list-style: circle;
}
.rendered_html ol {
  list-style: decimal;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin-top: 0;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
}
.rendered_html * + ul {
  margin-top: 1em;
}
.rendered_html * + ol {
  margin-top: 1em;
}
.rendered_html hr {
  color: black;
  background-color: black;
}
.rendered_html pre {
  margin: 1em 2em;
  padding: 0px;
  background-color: #fff;
}
.rendered_html code {
  background-color: #eff0f1;
}
.rendered_html p code {
  padding: 1px 5px;
}
.rendered_html pre code {
  background-color: #fff;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  color: #000;
  font-size: 100%;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: none;
  border-collapse: collapse;
  border-spacing: 0;
  color: black;
  font-size: 12px;
  table-layout: fixed;
}
.rendered_html thead {
  border-bottom: 1px solid black;
  vertical-align: bottom;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  text-align: right;
  vertical-align: middle;
  padding: 0.5em 0.5em;
  line-height: normal;
  white-space: normal;
  max-width: none;
  border: none;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html tbody tr:nth-child(odd) {
  background: #f5f5f5;
}
.rendered_html tbody tr:hover {
  background: rgba(66, 165, 245, 0.2);
}
.rendered_html * + table {
  margin-top: 1em;
}
.rendered_html p {
  text-align: left;
}
.rendered_html * + p {
  margin-top: 1em;
}
.rendered_html img {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.rendered_html * + img {
  margin-top: 1em;
}
.rendered_html img,
.rendered_html svg {
  max-width: 100%;
  height: auto;
}
.rendered_html img.unconfined,
.rendered_html svg.unconfined {
  max-width: none;
}
.rendered_html .alert {
  margin-bottom: initial;
}
.rendered_html * + .alert {
  margin-top: 1em;
}
[dir="rtl"] .rendered_html p {
  text-align: right;
}
div.text_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.text_cell > div.prompt {
    display: none;
  }
}
div.text_cell_render {
  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
  outline: none;
  resize: none;
  width: inherit;
  border-style: none;
  padding: 0.5em 0.5em 0.5em 0.4em;
  color: #000;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
a.anchor-link:link {
  text-decoration: none;
  padding: 0px 20px;
  visibility: hidden;
}
h1:hover .anchor-link,
h2:hover .anchor-link,
h3:hover .anchor-link,
h4:hover .anchor-link,
h5:hover .anchor-link,
h6:hover .anchor-link {
  visibility: visible;
}
.text_cell.rendered .input_area {
  display: none;
}
.text_cell.rendered .rendered_html {
  overflow-x: auto;
  overflow-y: hidden;
}
.text_cell.rendered .rendered_html tr,
.text_cell.rendered .rendered_html th,
.text_cell.rendered .rendered_html td {
  max-width: none;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.text_cell .dropzone .input_area {
  border: 2px dashed #bababa;
  margin: -1px;
}
.cm-header-1,
.cm-header-2,
.cm-header-3,
.cm-header-4,
.cm-header-5,
.cm-header-6 {
  font-weight: bold;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.cm-header-1 {
  font-size: 185.7%;
}
.cm-header-2 {
  font-size: 157.1%;
}
.cm-header-3 {
  font-size: 128.6%;
}
.cm-header-4 {
  font-size: 110%;
}
.cm-header-5 {
  font-size: 100%;
  font-style: italic;
}
.cm-header-6 {
  font-size: 100%;
  font-style: italic;
}
/*!
*
* IPython notebook webapp
*
*/
@media (max-width: 767px) {
  .notebook_app {
    padding-left: 0px;
    padding-right: 0px;
  }
}
#ipython-main-app {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook_panel {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook {
  font-size: 14px;
  line-height: 20px;
  overflow-y: hidden;
  overflow-x: auto;
  width: 100%;
  /* This spaces the page away from the edge of the notebook area */
  padding-top: 20px;
  margin: 0px;
  outline: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  min-height: 100%;
}
@media not print {
  #notebook-container {
    padding: 15px;
    background-color: #fff;
    min-height: 0;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
@media print {
  #notebook-container {
    width: 100%;
  }
}
div.ui-widget-content {
  border: 1px solid #ababab;
  outline: none;
}
pre.dialog {
  background-color: #f7f7f7;
  border: 1px solid #ddd;
  border-radius: 2px;
  padding: 0.4em;
  padding-left: 2em;
}
p.dialog {
  padding: 0.2em;
}
/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
 */
pre,
code,
kbd,
samp {
  white-space: pre-wrap;
}
#fonttest {
  font-family: monospace;
}
p {
  margin-bottom: 0;
}
.end_space {
  min-height: 100px;
  transition: height .2s ease;
}
.notebook_app > #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
@media not print {
  .notebook_app {
    background-color: #EEE;
  }
}
kbd {
  border-style: solid;
  border-width: 1px;
  box-shadow: none;
  margin: 2px;
  padding-left: 2px;
  padding-right: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
.jupyter-keybindings {
  padding: 1px;
  line-height: 24px;
  border-bottom: 1px solid gray;
}
.jupyter-keybindings input {
  margin: 0;
  padding: 0;
  border: none;
}
.jupyter-keybindings i {
  padding: 6px;
}
.well code {
  background-color: #ffffff;
  border-color: #ababab;
  border-width: 1px;
  border-style: solid;
  padding: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
/* CSS for the cell toolbar */
.celltoolbar {
  border: thin solid #CFCFCF;
  border-bottom: none;
  background: #EEE;
  border-radius: 2px 2px 0px 0px;
  width: 100%;
  height: 29px;
  padding-right: 4px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
  display: -webkit-flex;
}
@media print {
  .celltoolbar {
    display: none;
  }
}
.ctb_hideshow {
  display: none;
  vertical-align: bottom;
}
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
   Cell toolbars are only shown when the ctb_global_show class is also set.
*/
.ctb_global_show .ctb_show.ctb_hideshow {
  display: block;
}
.ctb_global_show .ctb_show + .input_area,
.ctb_global_show .ctb_show + div.text_cell_input,
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border-top-right-radius: 0px;
  border-top-left-radius: 0px;
}
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border: 1px solid #cfcfcf;
}
.celltoolbar {
  font-size: 87%;
  padding-top: 3px;
}
.celltoolbar select {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  width: inherit;
  font-size: inherit;
  height: 22px;
  padding: 0px;
  display: inline-block;
}
.celltoolbar select:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.celltoolbar select::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.celltoolbar select:-ms-input-placeholder {
  color: #999;
}
.celltoolbar select::-webkit-input-placeholder {
  color: #999;
}
.celltoolbar select::-ms-expand {
  border: 0;
  background-color: transparent;
}
.celltoolbar select[disabled],
.celltoolbar select[readonly],
fieldset[disabled] .celltoolbar select {
  background-color: #eeeeee;
  opacity: 1;
}
.celltoolbar select[disabled],
fieldset[disabled] .celltoolbar select {
  cursor: not-allowed;
}
textarea.celltoolbar select {
  height: auto;
}
select.celltoolbar select {
  height: 30px;
  line-height: 30px;
}
textarea.celltoolbar select,
select[multiple].celltoolbar select {
  height: auto;
}
.celltoolbar label {
  margin-left: 5px;
  margin-right: 5px;
}
.tags_button_container {
  width: 100%;
  display: flex;
}
.tag-container {
  display: flex;
  flex-direction: row;
  flex-grow: 1;
  overflow: hidden;
  position: relative;
}
.tag-container > * {
  margin: 0 4px;
}
.remove-tag-btn {
  margin-left: 4px;
}
.tags-input {
  display: flex;
}
.cell-tag:last-child:after {
  content: "";
  position: absolute;
  right: 0;
  width: 40px;
  height: 100%;
  /* Fade to background color of cell toolbar */
  background: linear-gradient(to right, rgba(0, 0, 0, 0), #EEE);
}
.tags-input > * {
  margin-left: 4px;
}
.cell-tag,
.tags-input input,
.tags-input button {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  box-shadow: none;
  width: inherit;
  font-size: inherit;
  height: 22px;
  line-height: 22px;
  padding: 0px 4px;
  display: inline-block;
}
.cell-tag:focus,
.tags-input input:focus,
.tags-input button:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.cell-tag::-moz-placeholder,
.tags-input input::-moz-placeholder,
.tags-input button::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.cell-tag:-ms-input-placeholder,
.tags-input input:-ms-input-placeholder,
.tags-input button:-ms-input-placeholder {
  color: #999;
}
.cell-tag::-webkit-input-placeholder,
.tags-input input::-webkit-input-placeholder,
.tags-input button::-webkit-input-placeholder {
  color: #999;
}
.cell-tag::-ms-expand,
.tags-input input::-ms-expand,
.tags-input button::-ms-expand {
  border: 0;
  background-color: transparent;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
.cell-tag[readonly],
.tags-input input[readonly],
.tags-input button[readonly],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  background-color: #eeeeee;
  opacity: 1;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  cursor: not-allowed;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button {
  height: auto;
}
select.cell-tag,
select.tags-input input,
select.tags-input button {
  height: 30px;
  line-height: 30px;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button,
select[multiple].cell-tag,
select[multiple].tags-input input,
select[multiple].tags-input button {
  height: auto;
}
.cell-tag,
.tags-input button {
  padding: 0px 4px;
}
.cell-tag {
  background-color: #fff;
  white-space: nowrap;
}
.tags-input input[type=text]:focus {
  outline: none;
  box-shadow: none;
  border-color: #ccc;
}
.completions {
  position: absolute;
  z-index: 110;
  overflow: hidden;
  border: 1px solid #ababab;
  border-radius: 2px;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  line-height: 1;
}
.completions select {
  background: white;
  outline: none;
  border: none;
  padding: 0px;
  margin: 0px;
  overflow: auto;
  font-family: monospace;
  font-size: 110%;
  color: #000;
  width: auto;
}
.completions select option.context {
  color: #286090;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
[dir="rtl"] #kernel_logo_widget {
  float: left !important;
  float: left;
}
.modal .modal-body .move-path {
  display: flex;
  flex-direction: row;
  justify-content: space;
  align-items: center;
}
.modal .modal-body .move-path .server-root {
  padding-right: 20px;
}
.modal .modal-body .move-path .path-input {
  flex: 1;
}
#menubar {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  margin-top: 1px;
}
#menubar .navbar {
  border-top: 1px;
  border-radius: 0px 0px 2px 2px;
  margin-bottom: 0px;
}
#menubar .navbar-toggle {
  float: left;
  padding-top: 7px;
  padding-bottom: 7px;
  border: none;
}
#menubar .navbar-collapse {
  clear: left;
}
[dir="rtl"] #menubar .navbar-toggle {
  float: right;
}
[dir="rtl"] #menubar .navbar-collapse {
  clear: right;
}
[dir="rtl"] #menubar .navbar-nav {
  float: right;
}
[dir="rtl"] #menubar .nav {
  padding-right: 0px;
}
[dir="rtl"] #menubar .navbar-nav > li {
  float: right;
}
[dir="rtl"] #menubar .navbar-right {
  float: left !important;
}
[dir="rtl"] ul.dropdown-menu {
  text-align: right;
  left: auto;
}
[dir="rtl"] ul#new-menu.dropdown-menu {
  right: auto;
  left: 0;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
[dir="rtl"] i.menu-icon.pull-right {
  float: left !important;
  float: left;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
[dir="rtl"] ul#help_menu li a {
  padding-left: 2.2em;
}
[dir="rtl"] ul#help_menu li a i {
  margin-right: 0;
  margin-left: -1.2em;
}
[dir="rtl"] ul#help_menu li a i.pull-right {
  float: left !important;
  float: left;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
[dir="rtl"] .dropdown-submenu > .dropdown-menu {
  right: 100%;
  margin-right: -1px;
}
.dropdown-submenu:hover > .dropdown-menu {
  display: block;
}
.dropdown-submenu > a:after {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  display: block;
  content: "\f0da";
  float: right;
  color: #333333;
  margin-top: 2px;
  margin-right: -10px;
}
.dropdown-submenu > a:after.fa-pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.fa-pull-right {
  margin-left: .3em;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
[dir="rtl"] .dropdown-submenu > a:after {
  float: left;
  content: "\f0d9";
  margin-right: 0;
  margin-left: -10px;
}
.dropdown-submenu:hover > a:after {
  color: #262626;
}
.dropdown-submenu.pull-left {
  float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
  left: -100%;
  margin-left: 10px;
}
#notification_area {
  float: right !important;
  float: right;
  z-index: 10;
}
[dir="rtl"] #notification_area {
  float: left !important;
  float: left;
}
.indicator_area {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] .indicator_area {
  float: left !important;
  float: left;
}
#kernel_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  border-left: 1px solid;
}
#kernel_indicator .kernel_indicator_name {
  padding-left: 5px;
  padding-right: 5px;
}
[dir="rtl"] #kernel_indicator {
  float: left !important;
  float: left;
  border-left: 0;
  border-right: 1px solid;
}
#modal_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] #modal_indicator {
  float: left !important;
  float: left;
}
#readonly-indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  margin-top: 2px;
  margin-bottom: 0px;
  margin-left: 0px;
  margin-right: 0px;
  display: none;
}
.modal_indicator:before {
  width: 1.28571429em;
  text-align: center;
}
.edit_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f040";
}
.edit_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.edit_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: ' ';
}
.command_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f10c";
}
.kernel_idle_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f111";
}
.kernel_busy_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f1e2";
}
.kernel_dead_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f127";
}
.kernel_disconnected_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.pull-right {
  margin-left: .3em;
}
.notification_widget {
  color: #777;
  z-index: 10;
  background: rgba(240, 240, 240, 0.5);
  margin-right: 4px;
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget:focus,
.notification_widget.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.notification_widget:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active:hover,
.notification_widget.active:hover,
.open > .dropdown-toggle.notification_widget:hover,
.notification_widget:active:focus,
.notification_widget.active:focus,
.open > .dropdown-toggle.notification_widget:focus,
.notification_widget:active.focus,
.notification_widget.active.focus,
.open > .dropdown-toggle.notification_widget.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  background-image: none;
}
.notification_widget.disabled:hover,
.notification_widget[disabled]:hover,
fieldset[disabled] .notification_widget:hover,
.notification_widget.disabled:focus,
.notification_widget[disabled]:focus,
fieldset[disabled] .notification_widget:focus,
.notification_widget.disabled.focus,
.notification_widget[disabled].focus,
fieldset[disabled] .notification_widget.focus {
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget .badge {
  color: #fff;
  background-color: #333;
}
.notification_widget.warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning:focus,
.notification_widget.warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.notification_widget.warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active:hover,
.notification_widget.warning.active:hover,
.open > .dropdown-toggle.notification_widget.warning:hover,
.notification_widget.warning:active:focus,
.notification_widget.warning.active:focus,
.open > .dropdown-toggle.notification_widget.warning:focus,
.notification_widget.warning:active.focus,
.notification_widget.warning.active.focus,
.open > .dropdown-toggle.notification_widget.warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  background-image: none;
}
.notification_widget.warning.disabled:hover,
.notification_widget.warning[disabled]:hover,
fieldset[disabled] .notification_widget.warning:hover,
.notification_widget.warning.disabled:focus,
.notification_widget.warning[disabled]:focus,
fieldset[disabled] .notification_widget.warning:focus,
.notification_widget.warning.disabled.focus,
.notification_widget.warning[disabled].focus,
fieldset[disabled] .notification_widget.warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.notification_widget.success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success:focus,
.notification_widget.success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.notification_widget.success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active:hover,
.notification_widget.success.active:hover,
.open > .dropdown-toggle.notification_widget.success:hover,
.notification_widget.success:active:focus,
.notification_widget.success.active:focus,
.open > .dropdown-toggle.notification_widget.success:focus,
.notification_widget.success:active.focus,
.notification_widget.success.active.focus,
.open > .dropdown-toggle.notification_widget.success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  background-image: none;
}
.notification_widget.success.disabled:hover,
.notification_widget.success[disabled]:hover,
fieldset[disabled] .notification_widget.success:hover,
.notification_widget.success.disabled:focus,
.notification_widget.success[disabled]:focus,
fieldset[disabled] .notification_widget.success:focus,
.notification_widget.success.disabled.focus,
.notification_widget.success[disabled].focus,
fieldset[disabled] .notification_widget.success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.notification_widget.info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info:focus,
.notification_widget.info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.notification_widget.info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active:hover,
.notification_widget.info.active:hover,
.open > .dropdown-toggle.notification_widget.info:hover,
.notification_widget.info:active:focus,
.notification_widget.info.active:focus,
.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  background-image: none;
}
.notification_widget.info.disabled:hover,
.notification_widget.info[disabled]:hover,
fieldset[disabled] .notification_widget.info:hover,
.notification_widget.info.disabled:focus,
.notification_widget.info[disabled]:focus,
fieldset[disabled] .notification_widget.info:focus,
.notification_widget.info.disabled.focus,
.notification_widget.info[disabled].focus,
fieldset[disabled] .notification_widget.info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.notification_widget.danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger:focus,
.notification_widget.danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.notification_widget.danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active:hover,
.notification_widget.danger.active:hover,
.open > .dropdown-toggle.notification_widget.danger:hover,
.notification_widget.danger:active:focus,
.notification_widget.danger.active:focus,
.open > .dropdown-toggle.notification_widget.danger:focus,
.notification_widget.danger:active.focus,
.notification_widget.danger.active.focus,
.open > .dropdown-toggle.notification_widget.danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  background-image: none;
}
.notification_widget.danger.disabled:hover,
.notification_widget.danger[disabled]:hover,
fieldset[disabled] .notification_widget.danger:hover,
.notification_widget.danger.disabled:focus,
.notification_widget.danger[disabled]:focus,
fieldset[disabled] .notification_widget.danger:focus,
.notification_widget.danger.disabled.focus,
.notification_widget.danger[disabled].focus,
fieldset[disabled] .notification_widget.danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger .badge {
  color: #d9534f;
  background-color: #fff;
}
div#pager {
  background-color: #fff;
  font-size: 14px;
  line-height: 20px;
  overflow: hidden;
  display: none;
  position: fixed;
  bottom: 0px;
  width: 100%;
  max-height: 50%;
  padding-top: 8px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  /* Display over codemirror */
  z-index: 100;
  /* Hack which prevents jquery ui resizable from changing top. */
  top: auto !important;
}
div#pager pre {
  line-height: 1.21429em;
  color: #000;
  background-color: #f7f7f7;
  padding: 0.4em;
}
div#pager #pager-button-area {
  position: absolute;
  top: 8px;
  right: 20px;
}
div#pager #pager-contents {
  position: relative;
  overflow: auto;
  width: 100%;
  height: 100%;
}
div#pager #pager-contents #pager-container {
  position: relative;
  padding: 15px 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
div#pager .ui-resizable-handle {
  top: 0px;
  height: 8px;
  background: #f7f7f7;
  border-top: 1px solid #cfcfcf;
  border-bottom: 1px solid #cfcfcf;
  /* This injects handle bars (a short, wide = symbol) for 
        the resize handle. */
}
div#pager .ui-resizable-handle::after {
  content: '';
  top: 2px;
  left: 50%;
  height: 3px;
  width: 30px;
  margin-left: -15px;
  position: absolute;
  border-top: 1px solid #cfcfcf;
}
.quickhelp {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  line-height: 1.8em;
}
.shortcut_key {
  display: inline-block;
  width: 21ex;
  text-align: right;
  font-family: monospace;
}
.shortcut_descr {
  display: inline-block;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
span.save_widget {
  height: 30px;
  margin-top: 4px;
  display: flex;
  justify-content: flex-start;
  align-items: baseline;
  width: 50%;
  flex: 1;
}
span.save_widget span.filename {
  height: 100%;
  line-height: 1em;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  text-overflow: ellipsis;
  overflow: hidden;
  white-space: nowrap;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
[dir="rtl"] span.save_widget.pull-left {
  float: right !important;
  float: right;
}
[dir="rtl"] span.save_widget span.filename {
  margin-left: 0;
  margin-right: 16px;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
  white-space: nowrap;
  padding: 0 5px;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
    padding: 0 0 0 5px;
  }
  span.checkpoint_status,
  span.autosave_status {
    display: none;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  span.checkpoint_status {
    display: none;
  }
  span.autosave_status {
    font-size: x-small;
  }
}
.toolbar {
  padding: 0px;
  margin-left: -5px;
  margin-top: 2px;
  margin-bottom: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.toolbar select,
.toolbar label {
  width: auto;
  vertical-align: middle;
  margin-right: 2px;
  margin-bottom: 0px;
  display: inline;
  font-size: 92%;
  margin-left: 0.3em;
  margin-right: 0.3em;
  padding: 0px;
  padding-top: 3px;
}
.toolbar .btn {
  padding: 2px 8px;
}
.toolbar .btn-group {
  margin-top: 0px;
  margin-left: 5px;
}
.toolbar-btn-label {
  margin-left: 6px;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
  min-height: 27px;
  margin-left: 0px;
  padding-top: 11px;
  padding-bottom: 3px;
}
#maintoolbar .navbar-text {
  float: none;
  vertical-align: middle;
  text-align: right;
  margin-left: 5px;
  margin-right: 0px;
  margin-top: 0px;
}
.select-xs {
  height: 24px;
}
[dir="rtl"] .btn-group > .btn,
.btn-group-vertical > .btn {
  float: right;
}
.pulse,
.dropdown-menu > li > a.pulse,
li.pulse > a.dropdown-toggle,
li.pulse.open > a.dropdown-toggle {
  background-color: #F37626;
  color: white;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
/** WARNING IF YOU ARE EDITTING THIS FILE, if this is a .css file, It has a lot
 * of chance of beeing generated from the ../less/[samename].less file, you can
 * try to get back the less file by reverting somme commit in history
 **/
/*
 * We'll try to get something pretty, so we
 * have some strange css to have the scroll bar on
 * the left with fix button on the top right of the tooltip
 */
@-moz-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-webkit-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-moz-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
@-webkit-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
/*properties of tooltip after "expand"*/
.bigtooltip {
  overflow: auto;
  height: 200px;
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
}
/*properties of tooltip before "expand"*/
.smalltooltip {
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
  text-overflow: ellipsis;
  overflow: hidden;
  height: 80px;
}
.tooltipbuttons {
  position: absolute;
  padding-right: 15px;
  top: 0px;
  right: 0px;
}
.tooltiptext {
  /*avoid the button to overlap on some docstring*/
  padding-right: 30px;
}
.ipython_tooltip {
  max-width: 700px;
  /*fade-in animation when inserted*/
  -webkit-animation: fadeOut 400ms;
  -moz-animation: fadeOut 400ms;
  animation: fadeOut 400ms;
  -webkit-animation: fadeIn 400ms;
  -moz-animation: fadeIn 400ms;
  animation: fadeIn 400ms;
  vertical-align: middle;
  background-color: #f7f7f7;
  overflow: visible;
  border: #ababab 1px solid;
  outline: none;
  padding: 3px;
  margin: 0px;
  padding-left: 7px;
  font-family: monospace;
  min-height: 50px;
  -moz-box-shadow: 0px 6px 10px -1px #adadad;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  border-radius: 2px;
  position: absolute;
  z-index: 1000;
}
.ipython_tooltip a {
  float: right;
}
.ipython_tooltip .tooltiptext pre {
  border: 0;
  border-radius: 0;
  font-size: 100%;
  background-color: #f7f7f7;
}
.pretooltiparrow {
  left: 0px;
  margin: 0px;
  top: -16px;
  width: 40px;
  height: 16px;
  overflow: hidden;
  position: absolute;
}
.pretooltiparrow:before {
  background-color: #f7f7f7;
  border: 1px #ababab solid;
  z-index: 11;
  content: "";
  position: absolute;
  left: 15px;
  top: 10px;
  width: 25px;
  height: 25px;
  -webkit-transform: rotate(45deg);
  -moz-transform: rotate(45deg);
  -ms-transform: rotate(45deg);
  -o-transform: rotate(45deg);
}
ul.typeahead-list i {
  margin-left: -10px;
  width: 18px;
}
[dir="rtl"] ul.typeahead-list i {
  margin-left: 0;
  margin-right: -10px;
}
ul.typeahead-list {
  max-height: 80vh;
  overflow: auto;
}
ul.typeahead-list > li > a {
  /** Firefox bug **/
  /* see https://github.com/jupyter/notebook/issues/559 */
  white-space: normal;
}
ul.typeahead-list  > li > a.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .typeahead-list {
  text-align: right;
}
.cmd-palette .modal-body {
  padding: 7px;
}
.cmd-palette form {
  background: white;
}
.cmd-palette input {
  outline: none;
}
.no-shortcut {
  min-width: 20px;
  color: transparent;
}
[dir="rtl"] .no-shortcut.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .command-shortcut.pull-right {
  float: left !important;
  float: left;
}
.command-shortcut:before {
  content: "(command mode)";
  padding-right: 3px;
  color: #777777;
}
.edit-shortcut:before {
  content: "(edit)";
  padding-right: 3px;
  color: #777777;
}
[dir="rtl"] .edit-shortcut.pull-right {
  float: left !important;
  float: left;
}
#find-and-replace #replace-preview .match,
#find-and-replace #replace-preview .insert {
  background-color: #BBDEFB;
  border-color: #90CAF9;
  border-style: solid;
  border-width: 1px;
  border-radius: 0px;
}
[dir="ltr"] #find-and-replace .input-group-btn + .form-control {
  border-left: none;
}
[dir="rtl"] #find-and-replace .input-group-btn + .form-control {
  border-right: none;
}
#find-and-replace #replace-preview .replace .match {
  background-color: #FFCDD2;
  border-color: #EF9A9A;
  border-radius: 0px;
}
#find-and-replace #replace-preview .replace .insert {
  background-color: #C8E6C9;
  border-color: #A5D6A7;
  border-radius: 0px;
}
#find-and-replace #replace-preview {
  max-height: 60vh;
  overflow: auto;
}
#find-and-replace #replace-preview pre {
  padding: 5px 10px;
}
.terminal-app {
  background: #EEE;
}
.terminal-app #header {
  background: #fff;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.terminal-app .terminal {
  width: 100%;
  float: left;
  font-family: monospace;
  color: white;
  background: black;
  padding: 0.4em;
  border-radius: 2px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
}
.terminal-app .terminal,
.terminal-app .terminal dummy-screen {
  line-height: 1em;
  font-size: 14px;
}
.terminal-app .terminal .xterm-rows {
  padding: 10px;
}
.terminal-app .terminal-cursor {
  color: black;
  background: white;
}
.terminal-app #terminado-container {
  margin-top: 20px;
}
/*# sourceMappingURL=style.min.css.map */
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<style type="text/css">
    .highlight .hll { background-color: #ffffcc }
.highlight  { background: #f8f8f8; }
.highlight .c { color: #408080; font-style: italic } /* Comment */
.highlight .err { border: 1px solid #FF0000 } /* Error */
.highlight .k { color: #008000; font-weight: bold } /* Keyword */
.highlight .o { color: #666666 } /* Operator */
.highlight .ch { color: #408080; font-style: italic } /* Comment.Hashbang */
.highlight .cm { color: #408080; font-style: italic } /* Comment.Multiline */
.highlight .cp { color: #BC7A00 } /* Comment.Preproc */
.highlight .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */
.highlight .c1 { color: #408080; font-style: italic } /* Comment.Single */
.highlight .cs { color: #408080; font-style: italic } /* Comment.Special */
.highlight .gd { color: #A00000 } /* Generic.Deleted */
.highlight .ge { font-style: italic } /* Generic.Emph */
.highlight .gr { color: #FF0000 } /* Generic.Error */
.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
.highlight .gi { color: #00A000 } /* Generic.Inserted */
.highlight .go { color: #888888 } /* Generic.Output */
.highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
.highlight .gs { font-weight: bold } /* Generic.Strong */
.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
.highlight .gt { color: #0044DD } /* Generic.Traceback */
.highlight .kc { color: #008000; font-weight: bold } /* Keyword.Constant */
.highlight .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */
.highlight .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */
.highlight .kp { color: #008000 } /* Keyword.Pseudo */
.highlight .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */
.highlight .kt { color: #B00040 } /* Keyword.Type */
.highlight .m { color: #666666 } /* Literal.Number */
.highlight .s { color: #BA2121 } /* Literal.String */
.highlight .na { color: #7D9029 } /* Name.Attribute */
.highlight .nb { color: #008000 } /* Name.Builtin */
.highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */
.highlight .no { color: #880000 } /* Name.Constant */
.highlight .nd { color: #AA22FF } /* Name.Decorator */
.highlight .ni { color: #999999; font-weight: bold } /* Name.Entity */
.highlight .ne { color: #D2413A; font-weight: bold } /* Name.Exception */
.highlight .nf { color: #0000FF } /* Name.Function */
.highlight .nl { color: #A0A000 } /* Name.Label */
.highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
.highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */
.highlight .nv { color: #19177C } /* Name.Variable */
.highlight .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */
.highlight .w { color: #bbbbbb } /* Text.Whitespace */
.highlight .mb { color: #666666 } /* Literal.Number.Bin */
.highlight .mf { color: #666666 } /* Literal.Number.Float */
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.highlight .mi { color: #666666 } /* Literal.Number.Integer */
.highlight .mo { color: #666666 } /* Literal.Number.Oct */
.highlight .sa { color: #BA2121 } /* Literal.String.Affix */
.highlight .sb { color: #BA2121 } /* Literal.String.Backtick */
.highlight .sc { color: #BA2121 } /* Literal.String.Char */
.highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */
.highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */
.highlight .s2 { color: #BA2121 } /* Literal.String.Double */
.highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */
.highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */
.highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */
.highlight .sx { color: #008000 } /* Literal.String.Other */
.highlight .sr { color: #BB6688 } /* Literal.String.Regex */
.highlight .s1 { color: #BA2121 } /* Literal.String.Single */
.highlight .ss { color: #19177C } /* Literal.String.Symbol */
.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
.highlight .fm { color: #0000FF } /* Name.Function.Magic */
.highlight .vc { color: #19177C } /* Name.Variable.Class */
.highlight .vg { color: #19177C } /* Name.Variable.Global */
.highlight .vi { color: #19177C } /* Name.Variable.Instance */
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.highlight .il { color: #666666 } /* Literal.Number.Integer.Long */
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<style type="text/css">
    
/* Temporary definitions which will become obsolete with Notebook release 5.0 */
.ansi-black-fg { color: #3E424D; }
.ansi-black-bg { background-color: #3E424D; }
.ansi-black-intense-fg { color: #282C36; }
.ansi-black-intense-bg { background-color: #282C36; }
.ansi-red-fg { color: #E75C58; }
.ansi-red-bg { background-color: #E75C58; }
.ansi-red-intense-fg { color: #B22B31; }
.ansi-red-intense-bg { background-color: #B22B31; }
.ansi-green-fg { color: #00A250; }
.ansi-green-bg { background-color: #00A250; }
.ansi-green-intense-fg { color: #007427; }
.ansi-green-intense-bg { background-color: #007427; }
.ansi-yellow-fg { color: #DDB62B; }
.ansi-yellow-bg { background-color: #DDB62B; }
.ansi-yellow-intense-fg { color: #B27D12; }
.ansi-yellow-intense-bg { background-color: #B27D12; }
.ansi-blue-fg { color: #208FFB; }
.ansi-blue-bg { background-color: #208FFB; }
.ansi-blue-intense-fg { color: #0065CA; }
.ansi-blue-intense-bg { background-color: #0065CA; }
.ansi-magenta-fg { color: #D160C4; }
.ansi-magenta-bg { background-color: #D160C4; }
.ansi-magenta-intense-fg { color: #A03196; }
.ansi-magenta-intense-bg { background-color: #A03196; }
.ansi-cyan-fg { color: #60C6C8; }
.ansi-cyan-bg { background-color: #60C6C8; }
.ansi-cyan-intense-fg { color: #258F8F; }
.ansi-cyan-intense-bg { background-color: #258F8F; }
.ansi-white-fg { color: #C5C1B4; }
.ansi-white-bg { background-color: #C5C1B4; }
.ansi-white-intense-fg { color: #A1A6B2; }
.ansi-white-intense-bg { background-color: #A1A6B2; }

.ansi-bold { font-weight: bold; }

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<style type="text/css">
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<h1 id="Developing-an-AI-application">Developing an AI application<a class="anchor-link" href="#Developing-an-AI-application">&#182;</a></h1><p>Going forward, AI algorithms will be incorporated into more and more everyday applications. For example, you might want to include an image classifier in a smart phone app. To do this, you'd use a deep learning model trained on hundreds of thousands of images as part of the overall application architecture. A large part of software development in the future will be using these types of models as common parts of applications.</p>
<p>In this project, you'll train an image classifier to recognize different species of flowers. You can imagine using something like this in a phone app that tells you the name of the flower your camera is looking at. In practice you'd train this classifier, then export it for use in your application. We'll be using <a href="http://www.robots.ox.ac.uk/~vgg/data/flowers/102/index.html">this dataset</a> of 102 flower categories, you can see a few examples below.</p>
<p><img src='assets/Flowers.png' width=500px></p>
<p>The project is broken down into multiple steps:</p>
<ul>
<li>Load and preprocess the image dataset</li>
<li>Train the image classifier on your dataset</li>
<li>Use the trained classifier to predict image content</li>
</ul>
<p>We'll lead you through each part which you'll implement in Python.</p>
<p>When you've completed this project, you'll have an application that can be trained on any set of labeled images. Here your network will be learning about flowers and end up as a command line application. But, what you do with your new skills depends on your imagination and effort in building a dataset. For example, imagine an app where you take a picture of a car, it tells you what the make and model is, then looks up information about it. Go build your own dataset and make something new.</p>
<p>First up is importing the packages you'll need. It's good practice to keep all the imports at the beginning of your code. As you work through this notebook and find you need to import a package, make sure to add the import up here.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Imports here</span>
<span class="kn">import</span> <span class="nn">torch</span>
<span class="kn">from</span> <span class="nn">torch</span> <span class="k">import</span> <span class="n">optim</span><span class="p">,</span> <span class="n">nn</span>
<span class="kn">from</span> <span class="nn">torchvision</span> <span class="k">import</span> <span class="n">datasets</span><span class="p">,</span><span class="n">transforms</span><span class="p">,</span><span class="n">models</span>
<span class="kn">import</span> <span class="nn">torch.nn.functional</span> <span class="k">as</span> <span class="nn">F</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">myutils</span>
<span class="kn">from</span> <span class="nn">workspace_utils</span> <span class="k">import</span> <span class="n">active_session</span>
<span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</span>
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<h2 id="Load-the-data">Load the data<a class="anchor-link" href="#Load-the-data">&#182;</a></h2><p>Here you'll use <code>torchvision</code> to load the data (<a href="http://pytorch.org/docs/0.3.0/torchvision/index.html">documentation</a>). The data should be included alongside this notebook, otherwise you can <a href="https://s3.amazonaws.com/content.udacity-data.com/nd089/flower_data.tar.gz">download it here</a>. The dataset is split into three parts, training, validation, and testing. For the training, you'll want to apply transformations such as random scaling, cropping, and flipping. This will help the network generalize leading to better performance. You'll also need to make sure the input data is resized to 224x224 pixels as required by the pre-trained networks.</p>
<p>The validation and testing sets are used to measure the model's performance on data it hasn't seen yet. For this you don't want any scaling or rotation transformations, but you'll need to resize then crop the images to the appropriate size.</p>
<p>The pre-trained networks you'll use were trained on the ImageNet dataset where each color channel was normalized separately. For all three sets you'll need to normalize the means and standard deviations of the images to what the network expects. For the means, it's <code>[0.485, 0.456, 0.406]</code> and for the standard deviations <code>[0.229, 0.224, 0.225]</code>, calculated from the ImageNet images.  These values will shift each color channel to be centered at 0 and range from -1 to 1.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data_dir</span> <span class="o">=</span> <span class="s1">&#39;flowers&#39;</span>
<span class="n">train_dir</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/train&#39;</span>
<span class="n">valid_dir</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/valid&#39;</span>
<span class="n">test_dir</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/test&#39;</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Define your transforms for the training, validation, and testing sets</span>
<span class="n">train_transforms</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">RandomRotation</span><span class="p">(</span><span class="mi">30</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">RandomResizedCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">RandomHorizontalFlip</span><span class="p">(),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span><span class="mf">0.456</span><span class="p">,</span><span class="mf">0.406</span><span class="p">],</span>
                                                          <span class="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])</span>
                                      <span class="p">])</span>
<span class="n">test_transforms</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">RandomRotation</span><span class="p">(</span><span class="mi">255</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">RandomResizedCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span><span class="mf">0.456</span><span class="p">,</span><span class="mf">0.406</span><span class="p">],</span>
                                                          <span class="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])</span>
                                      <span class="p">])</span>

<span class="c1"># TODO: Load the datasets with ImageFolder</span>
<span class="n">train_data</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">train_dir</span><span class="p">,</span><span class="n">transform</span><span class="o">=</span><span class="n">train_transforms</span><span class="p">)</span>
<span class="n">valid_data</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">valid_dir</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">test_transforms</span><span class="p">)</span>
<span class="n">test_data</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">test_dir</span><span class="p">,</span><span class="n">transform</span><span class="o">=</span><span class="n">test_transforms</span><span class="p">)</span>

<span class="c1"># TODO: Using the image datasets and the trainforms, define the dataloaders</span>
<span class="n">trainloader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">train_data</span><span class="p">,</span><span class="n">batch_size</span><span class="o">=</span><span class="mi">64</span><span class="p">,</span><span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">validloader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">valid_data</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">64</span><span class="p">)</span>
<span class="n">testloader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">test_data</span><span class="p">,</span><span class="n">batch_size</span><span class="o">=</span><span class="mi">64</span><span class="p">)</span>
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<h3 id="Label-mapping">Label mapping<a class="anchor-link" href="#Label-mapping">&#182;</a></h3><p>You'll also need to load in a mapping from category label to category name. You can find this in the file <code>cat_to_name.json</code>. It's a JSON object which you can read in with the <a href="https://docs.python.org/2/library/json.html"><code>json</code> module</a>. This will give you a dictionary mapping the integer encoded categories to the actual names of the flowers.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>

<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">&#39;cat_to_name.json&#39;</span><span class="p">,</span> <span class="s1">&#39;r&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
    <span class="n">cat_to_name</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
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<h1 id="Building-and-training-the-classifier">Building and training the classifier<a class="anchor-link" href="#Building-and-training-the-classifier">&#182;</a></h1><p>Now that the data is ready, it's time to build and train the classifier. As usual, you should use one of the pretrained models from <code>torchvision.models</code> to get the image features. Build and train a new feed-forward classifier using those features.</p>
<p>We're going to leave this part up to you. Refer to <a href="https://review.udacity.com/#!/rubrics/1663/view">the rubric</a> for guidance on successfully completing this section. Things you'll need to do:</p>
<ul>
<li>Load a <a href="http://pytorch.org/docs/master/torchvision/models.html">pre-trained network</a> (If you need a starting point, the VGG networks work great and are straightforward to use)</li>
<li>Define a new, untrained feed-forward network as a classifier, using ReLU activations and dropout</li>
<li>Train the classifier layers using backpropagation using the pre-trained network to get the features</li>
<li>Track the loss and accuracy on the validation set to determine the best hyperparameters</li>
</ul>
<p>We've left a cell open for you below, but use as many as you need. Our advice is to break the problem up into smaller parts you can run separately. Check that each part is doing what you expect, then move on to the next. You'll likely find that as you work through each part, you'll need to go back and modify your previous code. This is totally normal!</p>
<p>When training make sure you're updating only the weights of the feed-forward network. You should be able to get the validation accuracy above 70% if you build everything right. Make sure to try different hyperparameters (learning rate, units in the classifier, epochs, etc) to find the best model. Save those hyperparameters to use as default values in the next part of the project.</p>
<p>One last important tip if you're using the workspace to run your code: To avoid having your workspace disconnect during the long-running tasks in this notebook, please read in the earlier page in this lesson called Intro to
GPU Workspaces about Keeping Your Session Active. You'll want to include code from the workspace_utils.py module.</p>
<p><font color='red'>**Note for Workspace users:** If your network is over 1 GB when saved as a checkpoint, there might be issues with saving backups in your workspace. Typically this happens with wide dense layers after the convolutional layers. If your saved checkpoint is larger than 1 GB (you can open a terminal and check with `ls -lh`), you should reduce the size of your hidden layers and train again.</font></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Build and train your network</span>
<span class="k">class</span> <span class="nc">Classifier</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
    <span class="k">def</span>  <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_size</span><span class="p">,</span><span class="n">output_size</span><span class="p">,</span><span class="n">hidden_layers</span><span class="p">,</span><span class="n">drop_p</span><span class="o">=</span><span class="mf">0.2</span><span class="p">):</span>
        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">hidden_layers</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">ModuleList</span><span class="p">([</span><span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">input_size</span><span class="p">,</span> <span class="n">hidden_layers</span><span class="p">[</span><span class="mi">0</span><span class="p">])])</span>
        <span class="n">layer_sizes</span> <span class="o">=</span> <span class="nb">zip</span><span class="p">(</span><span class="n">hidden_layers</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span><span class="n">hidden_layers</span><span class="p">[</span><span class="mi">1</span><span class="p">:])</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">hidden_layers</span><span class="o">.</span><span class="n">extend</span><span class="p">([</span><span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">h1</span><span class="p">,</span> <span class="n">h2</span><span class="p">)</span> <span class="k">for</span> <span class="n">h1</span><span class="p">,</span> <span class="n">h2</span> <span class="ow">in</span> <span class="n">layer_sizes</span><span class="p">])</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">output</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">hidden_layers</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">output_size</span><span class="p">)</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">dropout</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="n">p</span><span class="o">=</span><span class="n">drop_p</span><span class="p">)</span>
    <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
        <span class="k">for</span> <span class="n">fc</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">hidden_layers</span><span class="p">:</span>
            <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="n">fc</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
            <span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dropout</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">log_softmax</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">output</span><span class="p">(</span><span class="n">x</span><span class="p">),</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
        <span class="k">return</span> <span class="n">x</span>
         
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">model</span> <span class="o">=</span> <span class="n">models</span><span class="o">.</span><span class="n">vgg13</span><span class="p">(</span><span class="n">pretrained</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<pre>Downloading: &#34;https://download.pytorch.org/models/vgg13-c768596a.pth&#34; to /root/.torch/models/vgg13-c768596a.pth
100%|██████████| 532194478/532194478 [00:04&lt;00:00, 110273931.28it/s]
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">device</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s1">&#39;cuda&#39;</span> <span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span><span class="p">()</span> <span class="k">else</span> <span class="s1">&#39;cpu&#39;</span><span class="p">)</span>

<span class="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">():</span>
    <span class="n">param</span><span class="o">.</span><span class="n">requires_grad</span> <span class="o">=</span> <span class="kc">False</span>
    
<span class="n">model</span><span class="o">.</span><span class="n">classifier</span> <span class="o">=</span> <span class="n">Classifier</span><span class="p">(</span><span class="mi">25088</span><span class="p">,</span> <span class="mi">102</span><span class="p">,</span> <span class="p">[</span><span class="mi">1024</span><span class="p">])</span>

<span class="n">criterion</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">NLLLoss</span><span class="p">()</span>
<span class="n">optimizer</span> <span class="o">=</span> <span class="n">optim</span><span class="o">.</span><span class="n">Adam</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">classifier</span><span class="o">.</span><span class="n">parameters</span><span class="p">(),</span> <span class="n">lr</span><span class="o">=</span><span class="mf">0.001</span><span class="p">)</span>

<span class="n">model</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
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<pre>VGG(
  (features): Sequential(
    (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (1): ReLU(inplace)
    (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (3): ReLU(inplace)
    (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (5): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (6): ReLU(inplace)
    (7): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (8): ReLU(inplace)
    (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (10): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (11): ReLU(inplace)
    (12): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (13): ReLU(inplace)
    (14): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (15): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (16): ReLU(inplace)
    (17): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (18): ReLU(inplace)
    (19): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (20): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (21): ReLU(inplace)
    (22): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (23): ReLU(inplace)
    (24): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): Classifier(
    (hidden_layers): ModuleList(
      (0): Linear(in_features=25088, out_features=1024, bias=True)
    )
    (output): Linear(in_features=1024, out_features=102, bias=True)
    (dropout): Dropout(p=0.2)
  )
)</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">workspace_utils</span> <span class="k">import</span> <span class="n">active_session</span>

<span class="k">with</span> <span class="n">active_session</span><span class="p">():</span>
    <span class="n">epoch_</span> <span class="o">=</span> <span class="mi">5</span>
    <span class="n">step_</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">running_loss</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">print_every</span> <span class="o">=</span> <span class="mi">10</span>
    
    <span class="k">for</span> <span class="n">epoch</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">epoch_</span><span class="p">):</span>
        <span class="k">for</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">trainloader</span><span class="p">:</span>
            <span class="n">step_</span> <span class="o">+=</span> <span class="mi">1</span>
            <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">inputs</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
            <span class="n">optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span>
            
            <span class="n">logps</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>
            <span class="n">loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">logps</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
            <span class="n">loss</span><span class="o">.</span><span class="n">backward</span><span class="p">()</span>
            <span class="n">optimizer</span><span class="o">.</span><span class="n">step</span><span class="p">()</span>
            
            <span class="n">running_loss</span> <span class="o">+=</span> <span class="n">loss</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
            
            <span class="k">if</span> <span class="n">step_</span> <span class="o">%</span> <span class="n">print_every</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
                <span class="n">valid_loss</span> <span class="o">=</span> <span class="mi">0</span>
                <span class="n">accuracy</span> <span class="o">=</span> <span class="mi">0</span>
                <span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
                <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
                    <span class="k">for</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">validloader</span><span class="p">:</span>
                        <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">inputs</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
                        <span class="n">logps</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>
                        <span class="n">batch_loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">logps</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
                        <span class="n">valid_loss</span> <span class="o">+=</span> <span class="n">batch_loss</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
                        
                        <span class="n">ps</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">logps</span><span class="p">)</span>
                        <span class="n">top_p</span><span class="p">,</span> <span class="n">top_class</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
                        <span class="n">equals</span> <span class="o">=</span> <span class="n">top_class</span> <span class="o">==</span> <span class="n">labels</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">*</span><span class="n">top_class</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
                        <span class="n">accuracy</span> <span class="o">+=</span> <span class="n">torch</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">equals</span><span class="o">.</span><span class="n">type</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">FloatTensor</span><span class="p">))</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
                <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Epoch: </span><span class="si">{}</span><span class="s2">/</span><span class="si">{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">epoch</span><span class="o">+</span><span class="mi">1</span><span class="p">,</span> <span class="n">epoch_</span><span class="p">))</span>
                <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Training loss: </span><span class="si">{:.3f}</span><span class="s2">.. Validation loss: </span><span class="si">{:.3f}</span><span class="s2">.. Validation accuracy: </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">running_loss</span><span class="o">/</span><span class="n">print_every</span><span class="p">,</span> <span class="n">valid_loss</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">validloader</span><span class="p">),</span> <span class="n">accuracy</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">validloader</span><span class="p">)))</span>
                <span class="n">running_loss</span> <span class="o">=</span> <span class="mi">0</span>
                <span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
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<pre>Epoch: 1/5
Training loss: 4.780.. Validation loss: 3.669.. Validation accuracy: 0.254
Epoch: 1/5
Training loss: 3.253.. Validation loss: 3.076.. Validation accuracy: 0.302
Epoch: 1/5
Training loss: 2.553.. Validation loss: 2.425.. Validation accuracy: 0.414
Epoch: 1/5
Training loss: 2.117.. Validation loss: 2.065.. Validation accuracy: 0.485
Epoch: 1/5
Training loss: 1.956.. Validation loss: 1.979.. Validation accuracy: 0.485
Epoch: 1/5
Training loss: 1.693.. Validation loss: 1.775.. Validation accuracy: 0.528
Epoch: 1/5
Training loss: 1.509.. Validation loss: 1.566.. Validation accuracy: 0.585
Epoch: 1/5
Training loss: 1.232.. Validation loss: 1.637.. Validation accuracy: 0.571
Epoch: 1/5
Training loss: 1.330.. Validation loss: 1.441.. Validation accuracy: 0.592
Epoch: 1/5
Training loss: 1.370.. Validation loss: 1.327.. Validation accuracy: 0.653
Epoch: 2/5
Training loss: 1.354.. Validation loss: 1.466.. Validation accuracy: 0.602
Epoch: 2/5
Training loss: 1.085.. Validation loss: 1.381.. Validation accuracy: 0.624
Epoch: 2/5
Training loss: 1.139.. Validation loss: 1.320.. Validation accuracy: 0.656
Epoch: 2/5
Training loss: 1.025.. Validation loss: 1.305.. Validation accuracy: 0.640
Epoch: 2/5
Training loss: 0.911.. Validation loss: 1.339.. Validation accuracy: 0.632
Epoch: 2/5
Training loss: 1.104.. Validation loss: 1.192.. Validation accuracy: 0.683
Epoch: 2/5
Training loss: 1.090.. Validation loss: 1.268.. Validation accuracy: 0.660
Epoch: 2/5
Training loss: 1.042.. Validation loss: 1.263.. Validation accuracy: 0.673
Epoch: 2/5
Training loss: 0.918.. Validation loss: 1.321.. Validation accuracy: 0.645
Epoch: 2/5
Training loss: 1.021.. Validation loss: 1.178.. Validation accuracy: 0.674
Epoch: 3/5
Training loss: 0.858.. Validation loss: 1.189.. Validation accuracy: 0.676
Epoch: 3/5
Training loss: 0.923.. Validation loss: 1.111.. Validation accuracy: 0.709
Epoch: 3/5
Training loss: 0.813.. Validation loss: 1.202.. Validation accuracy: 0.691
Epoch: 3/5
Training loss: 0.876.. Validation loss: 1.172.. Validation accuracy: 0.697
Epoch: 3/5
Training loss: 0.941.. Validation loss: 1.169.. Validation accuracy: 0.700
Epoch: 3/5
Training loss: 0.925.. Validation loss: 1.244.. Validation accuracy: 0.677
Epoch: 3/5
Training loss: 0.895.. Validation loss: 1.171.. Validation accuracy: 0.693
Epoch: 3/5
Training loss: 0.821.. Validation loss: 1.199.. Validation accuracy: 0.682
Epoch: 3/5
Training loss: 0.815.. Validation loss: 1.156.. Validation accuracy: 0.694
Epoch: 3/5
Training loss: 0.852.. Validation loss: 1.069.. Validation accuracy: 0.718
Epoch: 4/5
Training loss: 0.829.. Validation loss: 1.172.. Validation accuracy: 0.697
Epoch: 4/5
Training loss: 0.834.. Validation loss: 1.222.. Validation accuracy: 0.683
Epoch: 4/5
Training loss: 0.797.. Validation loss: 1.123.. Validation accuracy: 0.674
Epoch: 4/5
Training loss: 0.748.. Validation loss: 1.173.. Validation accuracy: 0.708
Epoch: 4/5
Training loss: 0.768.. Validation loss: 1.128.. Validation accuracy: 0.696
Epoch: 4/5
Training loss: 0.626.. Validation loss: 1.093.. Validation accuracy: 0.707
Epoch: 4/5
Training loss: 0.842.. Validation loss: 1.111.. Validation accuracy: 0.698
Epoch: 4/5
Training loss: 0.680.. Validation loss: 1.070.. Validation accuracy: 0.728
Epoch: 4/5
Training loss: 0.800.. Validation loss: 1.133.. Validation accuracy: 0.704
Epoch: 4/5
Training loss: 0.770.. Validation loss: 1.156.. Validation accuracy: 0.703
Epoch: 4/5
Training loss: 0.819.. Validation loss: 1.097.. Validation accuracy: 0.719
Epoch: 5/5
Training loss: 0.761.. Validation loss: 1.070.. Validation accuracy: 0.733
Epoch: 5/5
Training loss: 0.717.. Validation loss: 1.229.. Validation accuracy: 0.702
Epoch: 5/5
Training loss: 0.658.. Validation loss: 1.077.. Validation accuracy: 0.719
Epoch: 5/5
Training loss: 0.682.. Validation loss: 1.106.. Validation accuracy: 0.714
Epoch: 5/5
Training loss: 0.635.. Validation loss: 1.198.. Validation accuracy: 0.706
Epoch: 5/5
Training loss: 0.747.. Validation loss: 1.035.. Validation accuracy: 0.731
Epoch: 5/5
Training loss: 0.705.. Validation loss: 1.051.. Validation accuracy: 0.712
Epoch: 5/5
Training loss: 0.641.. Validation loss: 1.132.. Validation accuracy: 0.710
Epoch: 5/5
Training loss: 0.673.. Validation loss: 1.089.. Validation accuracy: 0.733
Epoch: 5/5
Training loss: 0.668.. Validation loss: 1.052.. Validation accuracy: 0.724
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<h2 id="Testing-your-network">Testing your network<a class="anchor-link" href="#Testing-your-network">&#182;</a></h2><p>It's good practice to test your trained network on test data, images the network has never seen either in training or validation. This will give you a good estimate for the model's performance on completely new images. Run the test images through the network and measure the accuracy, the same way you did validation. You should be able to reach around 70% accuracy on the test set if the model has been trained well.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Do validation on the test set</span>
<span class="k">with</span> <span class="n">active_session</span><span class="p">():</span>
    <span class="n">accuracy</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
    <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
        <span class="k">for</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">testloader</span><span class="p">:</span>
            <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">inputs</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
            <span class="n">logps</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>
            <span class="n">ps</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">logps</span><span class="p">)</span>
            <span class="n">top_p</span><span class="p">,</span> <span class="n">top_class</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
            <span class="n">equals</span> <span class="o">=</span> <span class="n">top_class</span> <span class="o">==</span> <span class="n">labels</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">*</span><span class="n">top_class</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
            <span class="n">accuracy</span> <span class="o">+=</span> <span class="n">torch</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">equals</span><span class="o">.</span><span class="n">type</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">FloatTensor</span><span class="p">))</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Test accuracy: </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">accuracy</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">testloader</span><span class="p">)))</span>
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<pre>Test accuracy: 0.690
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<h2 id="Save-the-checkpoint">Save the checkpoint<a class="anchor-link" href="#Save-the-checkpoint">&#182;</a></h2><p>Now that your network is trained, save the model so you can load it later for making predictions. You probably want to save other things such as the mapping of classes to indices which you get from one of the image datasets: <code>image_datasets['train'].class_to_idx</code>. You can attach this to the model as an attribute which makes inference easier later on.</p>
<p><code>model.class_to_idx = image_datasets['train'].class_to_idx</code></p>
<p>Remember that you'll want to completely rebuild the model later so you can use it for inference. Make sure to include any information you need in the checkpoint. If you want to load the model and keep training, you'll want to save the number of epochs as well as the optimizer state, <code>optimizer.state_dict</code>. You'll likely want to use this trained model in the next part of the project, so best to save it now.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Save the checkpoint </span>
<span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span> <span class="o">=</span> <span class="n">train_data</span><span class="o">.</span><span class="n">class_to_idx</span>
<span class="n">myutils</span><span class="o">.</span><span class="n">save_checkpoint</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">optimizer</span><span class="p">,</span> <span class="n">path</span><span class="o">=</span><span class="s1">&#39;checkpoint.pth&#39;</span><span class="p">,</span> <span class="n">arch</span><span class="o">=</span><span class="s1">&#39;vgg13&#39;</span><span class="p">,</span> <span class="n">hidden_units</span><span class="o">=</span><span class="mi">1024</span><span class="p">,</span> <span class="n">epochs</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
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<h2 id="Loading-the-checkpoint">Loading the checkpoint<a class="anchor-link" href="#Loading-the-checkpoint">&#182;</a></h2><p>At this point it's good to write a function that can load a checkpoint and rebuild the model. That way you can come back to this project and keep working on it without having to retrain the network.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Write a function that loads a checkpoint and rebuilds the model</span>
<span class="n">model_load</span><span class="p">,</span> <span class="n">optimizer_load</span> <span class="o">=</span> <span class="n">myutils</span><span class="o">.</span><span class="n">load_checkpoint</span><span class="p">(</span><span class="s1">&#39;checkpoint.pth&#39;</span><span class="p">)</span>
<span class="n">model_load</span>
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<pre>VGG(
  (features): Sequential(
    (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (1): ReLU(inplace)
    (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (3): ReLU(inplace)
    (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (5): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (6): ReLU(inplace)
    (7): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (8): ReLU(inplace)
    (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (10): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (11): ReLU(inplace)
    (12): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (13): ReLU(inplace)
    (14): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (15): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (16): ReLU(inplace)
    (17): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (18): ReLU(inplace)
    (19): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (20): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (21): ReLU(inplace)
    (22): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (23): ReLU(inplace)
    (24): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): Classifier(
    (hidden_layers): ModuleList(
      (0): Linear(in_features=25088, out_features=1024, bias=True)
    )
    (output): Linear(in_features=1024, out_features=102, bias=True)
    (dropout): Dropout(p=0.2)
  )
)</pre>
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<h1 id="Inference-for-classification">Inference for classification<a class="anchor-link" href="#Inference-for-classification">&#182;</a></h1><p>Now you'll write a function to use a trained network for inference. That is, you'll pass an image into the network and predict the class of the flower in the image. Write a function called <code>predict</code> that takes an image and a model, then returns the top $K$ most likely classes along with the probabilities. It should look like</p>
<div class="highlight"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
<span class="o">&gt;</span> <span class="p">[</span> <span class="mf">0.01558163</span>  <span class="mf">0.01541934</span>  <span class="mf">0.01452626</span>  <span class="mf">0.01443549</span>  <span class="mf">0.01407339</span><span class="p">]</span>
<span class="o">&gt;</span> <span class="p">[</span><span class="s1">&#39;70&#39;</span><span class="p">,</span> <span class="s1">&#39;3&#39;</span><span class="p">,</span> <span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="s1">&#39;62&#39;</span><span class="p">,</span> <span class="s1">&#39;55&#39;</span><span class="p">]</span>
</pre></div>
<p>First you'll need to handle processing the input image such that it can be used in your network.</p>
<h2 id="Image-Preprocessing">Image Preprocessing<a class="anchor-link" href="#Image-Preprocessing">&#182;</a></h2><p>You'll want to use <code>PIL</code> to load the image (<a href="https://pillow.readthedocs.io/en/latest/reference/Image.html">documentation</a>). It's best to write a function that preprocesses the image so it can be used as input for the model. This function should process the images in the same manner used for training.</p>
<p>First, resize the images where the shortest side is 256 pixels, keeping the aspect ratio. This can be done with the <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>thumbnail</code></a> or <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>resize</code></a> methods. Then you'll need to crop out the center 224x224 portion of the image.</p>
<p>Color channels of images are typically encoded as integers 0-255, but the model expected floats 0-1. You'll need to convert the values. It's easiest with a Numpy array, which you can get from a PIL image like so <code>np_image = np.array(pil_image)</code>.</p>
<p>As before, the network expects the images to be normalized in a specific way. For the means, it's <code>[0.485, 0.456, 0.406]</code> and for the standard deviations <code>[0.229, 0.224, 0.225]</code>. You'll want to subtract the means from each color channel, then divide by the standard deviation.</p>
<p>And finally, PyTorch expects the color channel to be the first dimension but it's the third dimension in the PIL image and Numpy array. You can reorder dimensions using <a href="https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.ndarray.transpose.html"><code>ndarray.transpose</code></a>. The color channel needs to be first and retain the order of the other two dimensions.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">process_image</span><span class="p">(</span><span class="n">image</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39; Scales, crops, and normalizes a PIL image for a PyTorch model,</span>
<span class="sd">        returns an Numpy array</span>
<span class="sd">    &#39;&#39;&#39;</span>
    
    <span class="c1"># TODO: Process a PIL image for use in a PyTorch model</span>
    <span class="n">pil_img</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    <span class="n">preprocess</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">Resize</span><span class="p">(</span><span class="mi">256</span><span class="p">),</span>
                                     <span class="n">transforms</span><span class="o">.</span><span class="n">CenterCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span>
                                     <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                     <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">],</span> 
                                                          <span class="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])])</span>
    <span class="n">img_tensor</span> <span class="o">=</span> <span class="n">preprocess</span><span class="p">(</span><span class="n">pil_img</span><span class="p">)</span>
    <span class="k">return</span> <span class="n">img_tensor</span>
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<p>To check your work, the function below converts a PyTorch tensor and displays it in the notebook. If your <code>process_image</code> function works, running the output through this function should return the original image (except for the cropped out portions).</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
    <span class="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="kc">None</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="c1"># PyTorch tensors assume the color channel is the first dimension</span>
    <span class="c1"># but matplotlib assumes is the third dimension</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span><span class="o">.</span><span class="n">transpose</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">0</span><span class="p">))</span>
    
    <span class="c1"># Undo preprocessing</span>
    <span class="n">mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">])</span>
    <span class="n">std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">std</span> <span class="o">*</span> <span class="n">image</span> <span class="o">+</span> <span class="n">mean</span>
    
    <span class="c1"># Image needs to be clipped between 0 and 1 or it looks like noise when displayed</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">clip</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
    
    <span class="n">ax</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    
    <span class="k">return</span> <span class="n">ax</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">imshow</span><span class="p">(</span><span class="n">process_image</span><span class="p">(</span><span class="s2">&quot;flowers/test/20/image_04910.jpg&quot;</span><span class="p">))</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f2155f420b8&gt;</pre>
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<h2 id="Class-Prediction">Class Prediction<a class="anchor-link" href="#Class-Prediction">&#182;</a></h2><p>Once you can get images in the correct format, it's time to write a function for making predictions with your model. A common practice is to predict the top 5 or so (usually called top-$K$) most probable classes. You'll want to calculate the class probabilities then find the $K$ largest values.</p>
<p>To get the top $K$ largest values in a tensor use <a href="http://pytorch.org/docs/master/torch.html#torch.topk"><code>x.topk(k)</code></a>. This method returns both the highest <code>k</code> probabilities and the indices of those probabilities corresponding to the classes. You need to convert from these indices to the actual class labels using <code>class_to_idx</code> which hopefully you added to the model or from an <code>ImageFolder</code> you used to load the data (<a href="#Save-the-checkpoint">see here</a>). Make sure to invert the dictionary so you get a mapping from index to class as well.</p>
<p>Again, this method should take a path to an image and a model checkpoint, then return the probabilities and classes.</p>
<div class="highlight"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
<span class="o">&gt;</span> <span class="p">[</span> <span class="mf">0.01558163</span>  <span class="mf">0.01541934</span>  <span class="mf">0.01452626</span>  <span class="mf">0.01443549</span>  <span class="mf">0.01407339</span><span class="p">]</span>
<span class="o">&gt;</span> <span class="p">[</span><span class="s1">&#39;70&#39;</span><span class="p">,</span> <span class="s1">&#39;3&#39;</span><span class="p">,</span> <span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="s1">&#39;62&#39;</span><span class="p">,</span> <span class="s1">&#39;55&#39;</span><span class="p">]</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">checkpoint</span><span class="p">,</span> <span class="n">device</span><span class="p">,</span> <span class="n">topk</span><span class="o">=</span><span class="mi">5</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39; Predict the class (or classes) of an image using a trained deep learning model.</span>
<span class="sd">    &#39;&#39;&#39;</span>
    <span class="c1"># TODO: Implement the code to predict the class from an image file</span>
    
    <span class="n">to_device</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s1">&#39;cuda&#39;</span> <span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span><span class="p">()</span> <span class="ow">and</span> <span class="n">device</span><span class="o">==</span><span class="s1">&#39;gpu&#39;</span> <span class="k">else</span> <span class="s1">&#39;cpu&#39;</span><span class="p">)</span>
    
    <span class="n">model</span><span class="p">,</span> <span class="n">optimizer</span> <span class="o">=</span> <span class="n">myutils</span><span class="o">.</span><span class="n">load_checkpoint</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">)</span>
    <span class="n">model</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">to_device</span><span class="p">)</span>
    <span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
    <span class="n">image_tensor</span> <span class="o">=</span> <span class="n">myutils</span><span class="o">.</span><span class="n">process_image</span><span class="p">(</span><span class="n">image_path</span><span class="p">)</span>

    <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
        <span class="n">image_tensor</span> <span class="o">=</span> <span class="n">image_tensor</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">to_device</span><span class="p">)</span>
        <span class="n">image_tensor</span><span class="o">.</span><span class="n">unsqueeze_</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
        <span class="n">image_tensor</span><span class="o">.</span><span class="n">float</span><span class="p">()</span>
        <span class="n">logps</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">image_tensor</span><span class="p">)</span>
        <span class="n">ps</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">logps</span><span class="p">)</span>
        <span class="n">top_ps</span><span class="p">,</span> <span class="n">top_class_idx</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="n">topk</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
    <span class="n">class_to_idx_inverted</span> <span class="o">=</span> <span class="p">{</span><span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span><span class="p">[</span><span class="n">k</span><span class="p">]:</span> <span class="n">k</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span><span class="p">}</span>
    <span class="n">top_classes</span> <span class="o">=</span> <span class="p">[</span><span class="n">class_to_idx_inverted</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="n">top_class_idx</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">()[</span><span class="mi">0</span><span class="p">]]</span>
    <span class="n">top_probs</span> <span class="o">=</span> <span class="n">top_ps</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span>
    
    <span class="k">return</span> <span class="n">top_probs</span><span class="p">,</span> <span class="n">top_classes</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">image_pth</span> <span class="o">=</span> <span class="s1">&#39;flowers/test/16/image_06670.jpg&#39;</span>
<span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_pth</span><span class="p">,</span> <span class="s1">&#39;checkpoint.pth&#39;</span><span class="p">,</span> <span class="s1">&#39;gpu&#39;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
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<pre>[ 0.25433674  0.23274033  0.18244679  0.06396054  0.0477846 ]
[&#39;83&#39;, &#39;16&#39;, &#39;26&#39;, &#39;65&#39;, &#39;54&#39;]
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<h2 id="Sanity-Checking">Sanity Checking<a class="anchor-link" href="#Sanity-Checking">&#182;</a></h2><p>Now that you can use a trained model for predictions, check to make sure it makes sense. Even if the testing accuracy is high, it's always good to check that there aren't obvious bugs. Use <code>matplotlib</code> to plot the probabilities for the top 5 classes as a bar graph, along with the input image. It should look like this:</p>
<p><img src='assets/inference_example.png' width=300px></p>
<p>You can convert from the class integer encoding to actual flower names with the <code>cat_to_name.json</code> file (should have been loaded earlier in the notebook). To show a PyTorch tensor as an image, use the <code>imshow</code> function defined above.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Display an image along with the top 5 classes</span>
<span class="n">flower_classes</span> <span class="o">=</span> <span class="p">[</span><span class="n">cat_to_name</span><span class="p">[</span><span class="n">j</span><span class="p">]</span> <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="n">classes</span><span class="p">]</span>

<span class="n">img</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="s2">&quot;flowers/test/16/image_06670.jpg&quot;</span><span class="p">)</span>

<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span> <span class="o">=</span> <span class="p">[</span><span class="mi">5</span><span class="p">,</span> <span class="mi">10</span><span class="p">])</span>
<span class="n">ax1</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplot</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">1</span><span class="p">)</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">set_axis_off</span><span class="p">()</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="n">flower_classes</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">img</span><span class="p">)</span>

<span class="n">ax2</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplot</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">2</span><span class="p">)</span>
<span class="n">y_pos</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">5</span><span class="p">)</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">set_yticks</span><span class="p">(</span><span class="n">y_pos</span><span class="p">)</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">set_yticklabels</span><span class="p">(</span><span class="n">flower_classes</span><span class="p">)</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">invert_yaxis</span><span class="p">()</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">&#39;Probability&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">barh</span><span class="p">(</span><span class="n">y_pos</span><span class="p">,</span> <span class="n">probs</span><span class="p">)</span>
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<pre>&lt;Container object of 5 artists&gt;</pre>
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hiCxL7N7s0wc0KYKMXIuVActFoboGnigSsStL2mLTJFUFKBvhcMgepobOdnU8WopBoRWeK+odRI0IhHeHK9z7ePf5Uv/eHIp57+y4j+ION4EZaO2TG9vHfCWR92YYA7n90HxSwMM48tt35YU4AuGMHWvPj859k++/e4dPJ7XFp/gYvxBqu9j2D7wot6lat1JCHslSVnpxXLtTBpQgVSEaaNYHWBFwihI2hE95sJqdZdirE225GzS6Qrpc3021GxXC5bhrQZU6mQK+7OlBM5QzFjoRnViCHc+qh7218p3r5/54wWB6u712MgFacbnWBKyXDR38/R4gu8uPl/+If/aMmn/sR/xd7eWY7XwnJfIN33WzPzJtxLqZZ3k1kYHhPkdfHOd+Jvs/Sye31bn3+DPd61/zvffb0P4s1nT2l5A61LurSiK0qIRiFxUg2PK/ZVkFf/Cfat/4unLv8yF+xLhHod3xdOhgNGfRU0UDYbzhRAjGATboFjUULuyWaUklvca8iEACYjIkKtC0pNuFdCBCfTxb5FEJljPeCyEwdthZAwTATtemJIlFJYxoEQCuM24cUpnnCHMTjaV6rAlIVAAKmUlFFV1kCxLTVD9IG8gaOSGDolRuXm8hs8sSeU48QrV/8/tvo/89Sf/HnC6hI38sBBjXRaiSGSplb6w7Ti4Rh0A+WJt76Tb3FvvhtOrbQkb1FZ93XH8tYDqtznNcKp3yZ3Zt3f8i/cOo+7C+POPoaZh4r7vay9l0JvcbwEMlHjGtcO8pKBgaeGq0zT5yjf+BxHr3yF1fZLXFhcZlEToQvIcp8cFnhO1Mnw5JCMSsI9U6ugFdxuOQRtN2tvxc1EBCHgu+O1FoRES6xu+QciugstbZFQhqMqVAPMMQpVFbqOIJE+OsQOUHIqjONIqhCroSjFnRAjpRrmzqABxzF3Ki20tRqs15XUVZbLSK1rOhEO45IcCl/7vV9m/9LHOPz4T7HiDNIfYeKMZoR+gVkEWjQW1p+egPauPxv30qTplIS2h8zkeveZvd7H8O6aXN+MWRhmviseZmHoJrBuIIVM6YRVgOV4A3/p17jx7P/K/guf5VJnHO4bA1sWS6d4RzEo45aSKmkq1FzBW88sNwfz2zkFtw6hWYnawGnsfsTueCkI0PfNDzAMPUKLOhp3h24OoFQX3L7zeSfeLsNhFLp+Qd/3mDl+E6YyYhKpVqgVQlSqCCKB4oqGjhCcqhWXQBygpkzKUGphcQD705IudZyPIzfzl/jyb/1PfKI/4Mnv+7PccKNa6zNRZUTowDvEBtSG22XHv/t79c5yL5PkR04Y3uDc7vQxzMIwM/M9EaRgFqDso8EJ9jzHl/8eJ1/6RVZHX+TJ/VcYVgoSkK6HYUnZTKSTDWmTmXJsSWkuqAZUBLPSkssimH6nx4JK24+7UHeJaeKVWkEDLBYdBwcrYozUatRa6aTbrThafgLFsOAEURwlW0BECCGgcSc6ZjiV1cEeIXeUksil5Ud0DiKhmb+ACiQrFDNMKqUUQhhwq0y5IAW6DDWNLA4KHziEr776W7zwB7/Ch5/6CEf9hyjZ6BcDY17TxYIYKP3cyuE+M/sYZt5RTp1JvO2Zxp0P6uk9pt/mt73uh/HmPpK6ehnN72NlkQVGOf4sR8//dS4tnuWgGHYgpG6BuRJ0QUrSitidZGwLkzlYgKrNbEQz/JhW3KFGbpejQBSzQim2ExKljz0qDlLogrJc9IQgbDaZLjazkXkrqycoIQgBobojyK5/g+JUNDRR0gCiRohC7JfU2rOVDb5zcEsM5FxQcczDThQglYwCpbRIqhAHqk9UBBUnT0YFnj4wrj3/Wxx9/aPsf+rfZCKSEwzxkBDXpGlD1B6v38lzuHVfHmgW+ynca37Ng8Z5834L/gZNlmYfw8xDzf1fkr+F87krxLLh0M/gV36X8aVfYj/9LocLWOkljoezmAbUIm6BcT2SjirjMVDAOrACNhllEqw62imhF4ILGiuqimoAVUoeiVHp4i48tUSwgjkEgagQgzB07ZhzaWaaWHdd4Ax853OobkS11yQ1GX2vt0uCN1OT0nc9vTpWe7BK2o7t+11IakjX/JhBoAuBICvGdabmdm65L3iXyUCZIKoTN1/na7/5N7hw+Gme+cCf5urxQKre/KHasqhDHFqpjp14wRsNTu/2s/BwmX/eWU4r8vdgzn0WhpnviYdJGE78DGdDguPPMT73fzLc+BwfOL/AyWwY6UzoXIgO26M109HIuHXWJWLeEaYtXsBTxFPAq5BTxRLEBSwiDEMLTS3eZuz9oPTLgRAEW/fkPFIL5DxRSiLECFJ3jmsBs+aktl15jJ1ZSVyw4viuXzTmLRnOMu7WciHMMBdqybhVAsJiiAxdRxCgGEurCFCyszccorLk1VeOuHL5Gn2IbC3R9a22EvkMbJTz/Ui6+ft85Q/+Bw5WwuH5P8O1rTFNE8vVAnKPFHldf4p3vgPcaczCcL+ZhWHmkcf0CQovsjn5Iov8RzwxJOLWGXuldIW9TaVXpwNOjo8YbxijBSYfmFiwZ1ssQ50KNhrUyDZnkkNcwiLD2bMTfd8DSq1tiR+jogHQVtIiZ5imZrW75TNo5TPazB8zbvm0bwmDuzRfw+0Vg+O1Zc6JGEGc5XKfaTuy2aypk7FaBM4dHjB0PTEIMfQgbVZfkzOEPWI4wErH0c01Doy1NGucDkQ/ZJAA+Vvs9/CPn/07IBf48Z/6JAd7T3GztGS8kiv9raqvrwmjvFsoZh4/ZmF4TBA9LX777eUhtEzgB0dRI7gSmlUGR6kCReHDN8HSr2Lrv8YqrjEvTOxj04JluQqhp2jkeDvxajE2Ck4l2kj0QmcH1G5CugTnjS4aXI2UV5V0ZSBfPcbPCPGSMuwNRM+IGiZbPFaubbesJ2Ponmg9nrMxrNY4BcsLFqEjW8ZEyWZ0Lk0cdrb7XAuIEcVasrOElrnsAz4FNq9cJqhy1gKyiMS+Q4uxzZsmTntLYhgwKmEZqRopUtl7/yFnucSVbz/XTGJbpVdDeQVCu3auPT84Jl74/b/Jty98nA/+0L9DF8+Q7dsM4SyLumQjzq7IRyvwZ3c9a3p/q7O+lZ39YYs6eosUjPY+p+UfvYMHcw/MwjDzSKB+9yy1KYSgLBwuX/kay/E6i66nD0oyxyYwsVaVtGZyzrtmOqBBcGuRQyGMKJnDA+Xg3Irlco/Ndeflb655+flj0hFcv1LZrK+zXCnDMtCvOuIApVRKyMSwJFtFo3Fyw1gOQgwd2reSGTEI1gqnMqZW9trb0oGoXcuctoqVnZPblDGNjOuE5cze3pK9vT26RUd1I+cJEaGUgm+2sBp2dY8qbopT6IYFTzxxjuOr1zm5foLEikaIQcEdE/BSWHQH2PYmv/+5X2Z56Sc495HPMG5XMAyMbzBuvc75/K7d9TfmYRv8H0dmYZh5pDCBW4sjcWul5o6eJY7fZsWaYI5KBcmYRARasxwzihkaFanWahdRWq4ADgGWZ4SDc4E+VoLAuHW2WzjJC8ZxJI9QkzFtI+Fmmz3X2rF/WNDFAB7JMnHkif3VktUZqJbo4x6mRnVlqhnxQquZIQitYqsDmOMG1QwxZ9xMbNaJLkAphZwz2inVrZXViIGURrLo7QJ9EirDYkmpbV216AfOXXiS9cmW9VgZuoC548UhKLlWfDIunol88YXPcuOV3+Hi+z/NwHlMKqNfY8HBHffg9cJwf6XhrYThYYs6elSZhWHmkeC1Q8GtVYC28B6W5VmW9jKxblBfUiWTfaR6oJNA66MGqBC6SE9ru+m1zeQ7vOUgrJb0fU8IShxguRL2DqEcORoCOVemEdYnCasKvktgO64shmOG1ZJKYX3T2Nt3YuzQmJqZzw2vRs3TrlWlovjtkESFlmchQkoFJRDdOVj1iDYndEoJk5ZvICKM44gqrYSFGyEofT+Qpi3VIyo95sb++Qs8MSUuP/882QFVjIoC2aCTQEfhMBa+/I//Dz768T/HYvUhRhXqYoR8cPftmHnMmYXhMeFel9f3nofwgJfv3vpzujS7bQiCG60gxfgNJF1m0QmWnYKRPIM4VqGE9lpB8BBxB/OKRqWUAiVw5uwZDs8cYp5JU6JOTqnCYhFIh5l6YlBAe0hbSJNhtQ3seYI8VcbtCXV3qN/WDUFXnH+yI9WJaZqIscOrESzsymQoooK5tT4PpeIemU5GrDqLYWC1WmHY7fDVWis5Z9wrcejpusBYHa+GYJScEIngznZcY1VgeciwOsOwd4aSxlaZNSgECG6tDlaGiwdw/cYXufbt3+TSJ59hnQphGSDfdSteV9jqfj0Eb/L9M+84szC8R7l3O+2DFQZBdoOp3fboqRuKY/kyUcZWsVSWFK/N5ESreZd8ohahuuISmi3fnZwLyxU8sXeOixfPoYMyThk8kHImV0NjT9gfCUAo7TjC4LCGmpxaCnFYstluSanZ7y0JLz9fGRYj5w7PUsMJlpxpyhRzpjEhAWLokRDJNjbnfhVKLpTk1AqLbhehFIQYY4sIQnEg50zFUR0IIriyO6dM7AJRFEQRhdFhODjDmXPnWV+/SskbghviAQlK9hGxFQchcVJe5Nkv/W2e/vhPEPSQQv9dJE++yzf/EeZtX5rZ+TxzP3nUhKGhuDri0sIzMYI71TaEKKADyXqSBKoIQQQsUEOlEihu5AquQrZKt4AnLp3nyTP7hM7INrXRH8dbKhghBrK0hjvagXgkutFbJSuQQTUiBpLB6ZC6R51GXvr2hnPnb3LhmYhXmKbWgqcUCCZkczylVkivQgwdacwshwGgJcDliWFx0MpyTxOhD4QuUmummLHZbOgWe/Rdh0lbFU3TFg0Q4oq+X3CjKiEO7B2epUwj2+OEMbVVCAadEfMFekmcW17l+uXf5trlL7L6yJ8llddnOr+Oh+HReEh5VIVhDkieeSR4bTTua0P4wq6EtYaAE8k1UJ1dH4PvVKp09xabXwq1Vvo+8vTTT3HhwnliV6m2RUPFSdQ6tVBTz+Q6tkqou9IUGjq6oScOkX6h9EuwaHSrwOIgEvsBq4GhP8O4huuvVsYxkXOrq9R1Hcs+0PcLokSsOnVXldWrUYrR9z1n9vaptTKOE6UUYoyEEFoU0i6X4FZ+wTRNrYyG7rrMqbYVRc7YLiO7lEIXe4bFon3OhOpGreAdqAyoD5w9ECy/yisvfY1eAtMbhSXNPPbMK4bHhHe9wuUp8dZvl6I36Ms+nS+xCFsbsZo5I0tkY9Q+oHFL7dZIELxG3GozyXTPMh4tqbqki88RcyXnPYoa2yiU7XmsFqyMRM0sV4HDg7McHq4YJFDUEQnk7JR1R90a6agipaekiUEU7VtIaXYjZ2tTqk5RFXprYbNaHe/X9Gc3mDl4z0svRw4+tOHJJ8+S8poYDXKlpi1WBCnKYglTgZore6uerlNMM4v9jpQL6/UxZoVuMRA8ME4Tse/p4kApgVy2bE4qBweHKEJftQlp3uA1sRe2TCxY01PPXqIUYXv1FQ7qyF6EcV0p3UvUIKTRkbTm+ou/Ttn+LAfhg5hPd1T8vNs/pW+z18djzdv8WZ7+8XDqFt8LszDMPBQY++ABvKJeMTb44EzSHMXeBSoBz+fQMbAK0PtIrFcQz9QyoUtAhWyGhI4YImNOmDvTNIIYZ8/tc+7cWfb3lvS9ksaRkgxxpYyVPBXG7cSURtwgCsQ+4G6A4FJbQlcAfJfl7Gt6AfWIjUrySojGmCr7B5l+GRgWHav9M1hN5JwpwchB0SjEzmDX/wEH84KYoAp936PWVgqM0C8XLBaL207oEAJDv0cx5+johGGxvD2I19oqrVovmLeM7VIzy+WA7i/x9ciUK1XBzOmCEEWJaly78jzjyRW6ww9SX5OZbWZz5vN7gFkYZh4KTJa4FNQz5pUYIykKowiyCjgJrcLgkaWCnKyp269zNP4hi7qh14rVhNeKhg63QC6FaZpIY8ZKZW9vydmzh+ztD+CFcdqFrMoKc8NsS86ZnBNWKoGAq1KouxLaTm25Z62Ofmx+8E4hC5CMYrrzYcCwDx/82BnOn1dSzYhV+igMw4CKIThuzjB0CAEzsCqU0kRIRIghEunJtZnApmliuVwCrQS3uxNCT6CVsEgpoapUnFortVZSdUwN3FA6QgBhRkthAAAgAElEQVRdDmwnJU+V6gGqoGqAseiUqydX8HSNyE0qq/Z9D0Ev4pn7wywMMw8HAlCb09c6xPawBNUzXYQDNwY9Ih89y3j12xy98DXWr34J5UXe95Ety97JqZmfhJ4xJ8Yps92ODEPk7BPnOH/+PKtFT62VqELQgJkTSt+qoxahTImaS7P5u2EFythm1LW0Aw3symXvjjsXJyfw3KFhAKlI2HL+qcjF9x8iYc12s8Y9s1VvhfSqtmY9rpSqGN5Sspt3hOYAbx3gaqkogmjAanM4931P3/etB3QVVCN9L0w5UWvFRZqQVad6wmJAQyAglGpoDKCRGgpobMey60jUxYhkI0hBbIvJ4nZHsVt+jZnHm1kYHhPe7Vncu12DXzE0FEBxXzRrTYKDvmOoa+TKC9x49Te48fLfJY5fJYyvcugTXVcZwvexTRtqmRAx0pQYR2NKhYsXznHuibP0sds1zyk7Z3TLOo5RiPTU3Jy6pRTEhU6B2rPZTqxv0qKGYsBNCKEDM2quuEEpK9K2EHVgvU3EvrI60/H+D78PC4WUEtWcUpycjJwhUOmD03WR6saYJtydYRioJSESWk0oB5VIrbU52GvFa6uACrQwVipCJMZIsdaNzsQxE9wDXqGUCRl6hj7iUkAi3bDPZpvQWhENLSEwLjhaV8JqhRGIoSdqfMt7Pq8gHj9mYZh5KOjMQIyikergFQ7FuCjPcePlz3Ply7/HtZf/AUv5Aw77V1nunlwPitYtNW+IaqSUOdlWuu6Qs+ee4NzFM6COeBvAYhza4C/x9qxf3KhW8JIRDBFFpaPWnrzJjNfDLjJIbzfagQ7oSFPmxnHYdXYbWW+2HJyDj374IqtzgU05ZtCObgj03YocM8c3T6gGYzGmtGW5GnYz8Yp5QoPtihYGVCNd6IAWWVR3Nv6aC+VWk5+g5DohKF0ccAtsxkwp7VyCB1IxjNYASF0Zi5A9YmFF8C2gpCykBGNdsTx4H93qKYoctuv8muqqsxA8/szCMPNQEGtspg2FAux18PIf/n1eeeWX8Ju/w+b4Vfb0OmfjmgMZ8Ay1i9Qg9Gp0aqynkeNNZliuuHThKQ4ODih1CyGAtzpEIi2SCAczwapheWS7PWY7HpOzE80RD1hWTo6N7Y0Os0iNkVqMGIVSmuN3HDPHW9hONwgdfN/H4Ed+7AOcfXqgyLb5C9Yd7pVqMI1G7FZ4NdhF96RSCFEwd0RamYqSK1YrQStnutbxrQB6q5w3zRGcx4mwF5pYVEfdUelws5b1vCs+GDwwTaWtyiQidJh3ZAt4LnSdoLoAFowb45mnf4Bu72m2GvA03g6PfW03t5nHl1kYZh4KgoFJxLTgGKFzorzI8au/wUH9PAd7kbNDR78RQj0klx4LkaIjpSbytOXkpIWiXrr0Pvq4pNaKiJBLJUgb1Kw204wbWK3UVJE8kqdtyxnINLFIhXEL6yM4uj4hAiEY201luTSmKROCkLNzfX3CYgU/9mMf5VOfOUs8uEGya4w+ghrrkwKASKRWYRpzEypvTXe65ktu5qoOFovIRCG73K6JNAwDIYRd34dWoyL0sZ2TF7p+iY0tCskttp7Qrq3vg1c0RCwZacqEoUM14gRqgaW2FcE4JqZcuPi+T/DH/+SPM8qS6rBaLG5HJM2i8N5gFobHhPu9un+nfQ5TZ/RMLF3IApZHfDziqQW8zwM3yoBmRZaBTTnBOsfFGKznuAjXtyPVhYO9CyyHBWZboIlAFwQxa/YpL1gu4BWbRsbNhm67TzkxbA2SICVIW+X4pnOygXi8T/FCWEZsPOHKSaZfLcjTwJVXb/KhH8788z/z/TxxcUE3HGE+YUlg6hBzck6M48TQ7zFuEiVDnpo/RR32tdKHJeaQ1sZyObDslgzBSCnhvXKSN3RdhwZFdrWTSi2EEDjZKmHcsOz3iCGQqiA6tNVXFUo9wkqlX67Y5qnlT3Q9xRPZMmN3ntV4jTrBZf8gH/2JX+D6U38BtpWDcsS4C4EV3Rnf7i6VNGvFY8csDDMPBSIOvrNl4+SSObp5wrI4w2pJ8J0pIwgirSdBsUrOlStXruDuXLx4kYODA1JKwK3OYxkrglPBvDm5RRBTrHhzDKeMuTBOzboT+0BKhdXBkr1DODo4wTZwtF1iPMXB/j7X1i+yTjf55I90/KmffpIPfvgJbtx8CYkVZxcmO1VUelLKpOR4nthuaquxVJ0oTipGt4CDg2YOOjlZs91uCSEQY9w5zA3V1lMCWkXXW9FBpTjuBZdIkUwX+1aiIwS0V7QKlpXNmNjroFYnj5lee5RWzdWLUUw4yc7FZz7ED3zq02wBg7bymHnPMQvDzEOByHdmom5C3w0cHp4jHLWyERrArEDVZtLYLVjcHc/G4eEh+8t9okRKLYg64o5Vo+42VqzlH4i0KKTidNoh2iGS6PtdS07tWiOd2iG6x0LWPPctyDcTWM+Vy1fZ+oZP/wn46X/xYyz3J042L+KyYTvuwkUtEHQgJaMWgdKczWlLs++nTNFWIbbW5vtoZbN7ttuEqu2aCAWcQohKLS1qahiWWG2lw1NKLJat0J1NmbGMmC5x6Qhdj0cl5n1i3TJlw1AqUEqrDisoJWWsdlw9SfzAMx9Dw5KUEp1Eun7B9l3Oep95+JiFYeahwneDeNcN7O0dEMOC1eoM62kkpVYV1b3VF3IEESUXI8a+NbLR1odZdtm6ZhUVvW3uEIdpsyFtR9I07bJ4hc2YcGmx/ttpohrUmohL5Ymn91idizz3rYmjm1c4s9ry8Q91/OSf/yTeXWE7bVpRu1J2JSOgll3J7+xYdmoR8tjyHYbQU7IhVESg77mjjlPYTdLNbOdDMGJUbNexLU0FlQ6RQIwLbJrourbPWgrZJ3KnWIi4Kt3igN4jm+0EsTUvyskoBZSOmhIWVkzdGS4+80/hDESaAG9rgX4eJt5rzHf8MeFBhxC+XZ+D47cTqPTWoLQZ4XjNqAnUcW8d2Gp1YDcA14IZjJuJoevxapg7fd8zpRFVR0V2LTQVK5VcnZorQQJD6Ngm37XJbEXsVCMSm3lru0mYLFgeBj79x8+QysS1oy2X3tezTi9hUwI/uStipzXxcVOmaSRqoIqSDNSUMRVKdkScrmt5bWYwTZmUKn3fNad5zoATO921JFVi7LG6K5sh3W3nutlEP+xRkzFOIzkJw/4eGiLJAsNyYDNeRzWCBLZpQghMYya6c/W4srr4KZ54/w9QracPPcUrUTvyPfYLP+1ZvPvZeNDP7szrmYVh5iHitSVUlcPDc0zDHhAwnwghUN13mb3a+i+0Sg/cuH6TxWLBcrnEPMGuK5u7YTWjDu6K5UqeEiVnlt0SJTCmLdtpJGVn6Du6fmC7nTAXXMA1I1qhWzMMifMLMFtz/eoaqwEJFZFK3JmCml3eSWmklNK6qqVWZiMlRWy3YhCIsfVlyKkiBII6QsuLiEFIKZGz03VC1ykqikYlp0Ip291AL6RcMR8pNZCnysmUqNZzeG5gCi2iaf+Mcv3GDUJsiXlWjHEz4pvEUe356Ac+zfmnP4HpovWZiB3jOCFDW8LMEUnvHWZhmHkoEWl28KtXr3PQX6O71IO0+H5VJVejVCen0uoVRUERgmjLRk6ZaWqRPFQDVQShtloXUFq4Z02F7bShWOtcXE3ZjoZZ5Oh4izvs7W9ZLCI1d9TpDKEqqWQ0VGBiu4nkXDAzFstCCJVhEag2EYKgblBbzwWsmcJiCCiFmmGaEmfPHjZHeK3k3MJbh6Gn6zq2m0RJldIJq9WKagUNLUrIvZCsNerZrsdWtsM7Qg0cXb7G5vqW/smPMyyEfthjsShspg0hDFy+fI1ahVUnPHHxw3zwB34U6c9jHhFzMCf2A1Xq7eS2dm/mGf7jziwMjwnxPjdkP417bRCfiVTZpzo07+gJ5/fOcHLmaTbTDQ7sJrlCKoHQrVARat4y5cxBjEQPUCpeRvoA0zSiNRDDAvEt6oKK454Z04hHpWhri5k3kDetUU4MS6axEkJAbcTd6ReHVHemmjFPOEq2Qs1O0GUTsVxJyZnGQt8HrHZcuPAM2+0azy1nIvZQDKaxMHQ9UnukGFoXDP0Bk7/SxG4Cq5F8oiz6QNfJ7YJ4m82GGGMzuUlHtUoggQZKCGzWle1UgQG1yOZ4C/03CBfez1oO8XPvZ335KmEa0SlyKCtuDId0e0/z0Y99htoPbGrF1VkJdCZUn4h0iPSANAc+FSThVFyWr7uft2orwb2vNGbhefDMwjDz0CDN0wC0GkBdjOwtV4QUyaliBNyl9U8OLRInastkvjVoLpba+hmYAU6pieAt1NPd2Ww2bdCPHV3XsT7J1Nps6CJh52cobDYbpsk5OOhu9yDIOTNuSzPDmIIr0jmpJEIILJew2RTGsZLzBiG0TnNlg6MsVwtySeRSkAoUh2pMk5BzK1S3WAQUIU0BK0ZKleWqaw73XVG8EHYO+J1YaFCs7iKqQqDkzJTWdHHFcrnHzetHTLJi/8lD1psTvLae0SaQpokbOfLJ932I5f55nIDLriYJ7EJ8W5tQd9+1WN0Z/XZJg3PQ0uPHLAwzDwUiBhSQAIQWPTRN4Mp6veXMwiB2hKCkXMnTCOa7zmXd7QzhcYyoDshtp3Mr4W2m5DwBymKxYBpb9nKtFbw1/cmpUutITgVzo+taP4S0HQHFkmEZSgYwgrZBVHYjY9CO5eCcnFTGDaTtMcOg7B84wzLSDz0n40Q/gFiLWlK6XegosBOgYVgh3lFqwmshJ2/+Eau7zOfaiv/FQAiBZJlavRXc2znBVZXtZmLSyuSJKsfsn090plAT47Ql10SqGT/zfj7+I3+G4cwlridDuhbF5bR9RjrMAy4t1BUHjQFDyTXNg8hjyHxPZx4SCmAosls1ODVl9lcr4mIJ9SbJChY6DMUEvCYUYZoS/RDIqTKNlcUCMEfUCMEoRVsOBEqMke1mZBwLQmGzyYxjZrOGEHLLYZDQahmpkHPF1JBbUVA7F0Vz3jYfR/aWgLZY1N3KoeVPbDctbLXvAZ0IXU+IjnQgueKuVKQ5us2QKJTsFM/gkRA6Uk6s1y0MNwTdJboZqoZ7aBFN1XehrhFQQujQIuTcSnkYyubmMddeepkzl54kYlw7vsmYDel6PvnP/gt84JP/NJP3ID3qDju/grWrRjMhtRVddWd7vEGiMCwWYA+XGXPm7TMLw8y7wr3aiYXWv1ludRFDOJ5O6KkghWlbqJ1QvDWWUVW0azN9HNJkdF3k5LhFL+0fDJQyoRp3ZqDazCfWbN5dHAi6YCO3ZuSAK9NUdxnFMOwaTe8t91mfbEmjUTM7B68ArfaS6W6hUx2noq6shoilhCVhnBxT6FdO7JWur6QMhqEujCNsNiOLw0DOYDURpCcSdi1CYyuG57fs9nW3QkjEqIQQ6LtIzq1WkmoAhK7rybmi3iECJ9eucfbChVZGY0wU7bl44Un+2J/68+jqSRKLnY2oEoMgNSD/P3tv1izZdd35/dYezsm8U1WhUAUCIgFCAGcNTXa0Bqvdki3JUru7I6xQtDtshx3+DPabP4Af/WZH2BGO8Iuf3BHuaIVaLbmtwa2BpCSKFAGKBEhiLAA13TGHc/awlh/2yVtVFxSKJQAkULwrIoHKezPz3pu5z157rfUffON5NAlwo5TMzdu3OFmu2d3d5ep8C87AWe83W/hRmiF8WP/W88RwHh+IcBIQq0ClqqPYQE5rekl0EVztWRVlLJkspRnVSLO/lBobmsfaabrrlL4HcU3ywYlHpDQ1VdVJUqLNK7QamEeoONfhXZPJMAOtkFIihI6SClpAC9RGL8DUqLWpoXYdzLqAc1OCc57oI+uxcnQE2xVmO4Jznm6WGVY00ppOwn7OIWJ4D2mEagU1o5SKFsG5xo/w3uFDM/SB0ngXMbSv+4bmasJ5E4rIBN/1VK0sTxYcHx6xKoL5HYYiPP6Jv8+jT3yKQk8tECOoKaZKtYDHUwSqFoZhxfXr13nltVfp4owLu9tIPa8WHsY4TwwPSXzQTiYPikRx5lqv3wzRSslrxrRgR0Z8TCwWTUKieKECQ044cfQGpoGS29DYzHCSmM06+plQiyDW5B+0GrVoM+kRIaVMzhmRDtPGBh7HhAjEKMznHSE2opnqnQlrOz0HVBuzuVSIwSN0QGk+0CJtPjEmlgvFEPqTws5FT9f3iBvBt4Guc+Ccp9aN50P7W0qqlAS1VESUWGsjtbnWUoLWIispYRrRyvR6HqYmkHNGLgqu+TmsF2uYX2CZHG7vcT75hV8iq0eqEVyzsq6mZFWc94wZ1jJwcnSb62++wQvffJ79W/s88/Sz9OETBK3gzz2gH7Y4TwwPSXzYE8Pm1OwB54WyTqADjkwua8ZVha2IeIeiaKoMpgQn1GTkJKTUTvBdn8lJiJ1Mg91yurm3m8M7I+fCOLahc85laju1GYIPTWZ6vc44CacDYq1M3sxKTtJ4FD4gdNQiVE0YSskG1iFiiG2xXq65fWuNi5GubyfzYVUo1bgwbwKBKSV8iPT9JKehlbqR1dDW3jIUs0DsHLFrKKRaWyJRbUY9pTicK41DIY7lWHAixBhZrFdknbMc4ed++uf58c98gf3QYdYmCTVVzBWCcxjCmAqH6ZDvfPdFnn/ua7z07W8iBZ7+2JN4U6JAeZ/d/c7jBx/nieEhiR/0xXg/CYwHnjF0mTTBUftacKsD+rKiE6jSY7M1RSs+CTNzrYWCowTBudosM4cmD12HitWMUyEQGOtIUUNroCqoDahWSo2UPKMOtflLS8F7GArMJYLMyBm2Ys+YBkou5ATiArkYqRomAZFCNRiHJnNtFWZdbGY+tLbSMBjVoJ9Ftrd6aloikgihMr/QM+aMCz15OeKB3hvqKwoEFylaqMkYtVVXXhzqtLWPpk28qGv+0yK4WYfayDiu8X1EV45ttpGxsH/8Mpcf+RSf+elfQ7u/h+gCK2vEBUL14LYZDEbg+skJr79+mzee+2tu/OW/IR29RZ1dIvEzLGxkuxNCqWd4C81lrpQmC15lia+RUHvEpgG6W5H8GiXj7RGgYDRin3MBLE6zFaFhe9+f8O/xZfP2df9+X5fvz4HwPDGcxwcinIF3zYvZS4OhYkrNCeeN+XzOcjWStaLm8T4imttpuSZqbe0dT5ORUO0x8eTUPJe1tpN1rY017CY5aVWb5g6AQM7tNB9Ck61YrzJFcqsivCcEI2Wl6qaP78ipKb+mUHDArG9udCK1VQw0/2ZVGIfMrGtGOd4XiEqtlWEYcN5wXpqPc9AmlxEyVicLT9c2nlprE8DzBhguRsxaVTQMFRVHawo1IT7vPeI9RY2cjUzHs5/9Ap/9ws/y5uGI3zVcF9pGHiLmIGVjf3nIG2++xAsvfpXXX/xzDo6uMaYTigSGcYEP4J1ydnPa8D42sNmqk6SGGGIVRSgGwozgOzRJa49JRNyZQ8YHqxD+kYnzxPCQxA+7lfSgInpnH++sCcWZQBAYyojYSC4rOl9PCV25TnuFEwQHWklrqAlEHRWFbJi2mUWxTM4F7yK11HZ+sybEl3NrI6VJZiP4gFKoRVksR1IqiG8/z4nDu4BamfgOglahqIJAanmMfuZaVQItOfg6JYG28Z4cZ3a2BGiCfTtzxzg0XwnnYL7VgTXkk07unyWnjQvoBBlVfDAQCCo4J2ht+knDUMAH3DS/MBOiF3QWWA3GcRZmj32Mz/0Hv8btHKlbPc4p4iJZDQuQSuLW0Q1eev27PP+N53jl23/G0c2vMw7XWAwjj1y6yqXLF5jPe8qYiNK/7fPdJCTnBFf7NndxtYGrbEJaaUDEESOYRYzSUGZ3XgV4d/OLd7suf1TjPDE8JPGDXtD3ax09cGKoELygstFJar36XAbmXuh8IDjPkCpjbuilWWiM3JoUU0CFnFvfez1mutEQB6uh0EVlTApibHWRYZ1ZrCqpQIyRWpUhN0OdUmFLmsRSFyJMfs15YiKnDNVkQjk5ymYzC+CKo5aKCxGHQ/wGcdSGy2kJ+7dPuHSpp+vBeyOlzQC6sb/7WdOJyqlVBpOYbHtfacgonxunQK09pxaHqW/+DlqRWk8VWcXAxcbqPqmOx648w/bVZ6n9NqOC1znLdQXnGHJmzEtu3nqD1195gVe+/Q1O9r+D1EMcifl8zpNPPcOPPfHj9H4LLzPOtkvaANwRQoPbCgHBUFcRdKoKe0ptFZpRcafvk4BMWVD0XXdiftCJ4WGZr5wnhockftgL8kFnDN/r91VVBIdznhgjJ6Xiq5JcpY9bOJfog2McMs6BqZsSQuMX5DGjGC5ASooRyDmBbGYLDZOfi5GykYtNs4e2ETtxdH1kKwRm823WEzO61hUinnEo5NL0jrRCmVBAWTdy4UIuLbO5VCdLHCWXyQ/NHKbKeqXEkLh0oafWEcSRxtbO0qqYGs57zJq3c2shAbhT5JFWQb1rlULJmDZ2t2kjtGlt84lN1WGdUTvPkCMXP/IsY+45vHkI3UXG5YpiyroMlLpmtbzNtVde5o3vfofx9g3K0QE2DqxXlceefJLP/sTPc+HCx5jFPaQAYZLmcO6ez7IhvAQnEbxg+E25R86KmeP2jUMyJ/R9z9WrVzerZ/pfS+TYe4d6Orsu3+vj1MNScZwnhvP4gERTQNXppO67bSTMyRpRP2+M4q5nuVpSS9NSEgnNfyED6hDzzbWNgpqjViEVZRwqzhW0ttZGyUwchkm+epiSVBQoRqmV1XjCajVgKmz14GOgqpAKgFANSoFcG+/CuUYArl7pek+pMsltgNqI8y3ZaaqYOhYniT5UdrZaEiuF08QQg0PEIURiHKkilGKkUSe3N6gY1YwOoao0451sOIlYBTWjqlKLkmvBx0zxHaGfsRoqr3z7ZezCEvUddiIs8op1WVEZWR3f4va177B881Xk+Daz6lF6atyj6y6ys/M43m0hQOchTxpNm2TfJEjaqV9E8DRZqKZ15RFn3Lx9nVdeepnvvPgicSZ86lOfYe/CViMeen/vuniX7aTzePA4TwwPSXzQTioPDFd1iopDgaTCbOcirt8jWY/5XTSftMdlxSqsc4He0XvXmMjaLEGrKpqMNBbWY2LMpeH4rRB8k3ZQpPlFVyMVO91spYJixBBJqVBqm2OYtPkBOEwrVRs/IpVKTlBpg9aiRvDWkkUvOA+dF8QMJxWvESGSk7HKcGnP08VmiFNLJicljYp3la43kEmjVuzUu0FEqFOS2CCBUimk0Si1eTOYGaZtkK8Kq1KYbUeKZEIfONk/5LXvfJP5xbcY6sj+rTX7i2MGl4kzqKsj9PgWczthe69yvJqzXKzRbs7WzkVu7d/mu6+8gI2Zxy9ehnnzpy6lfM91UHRE/AzvhCHDa6+8zvNf/xJ//Vd/wssvf4unnnmWj//44zhf6fpALXevnfOk8MOI88TwkMQHLC/woJ0tFWtezNaee2G+g++2WGnA3JxaD9FSmc/n5DKyXFSyZULftW7DNLzOubVQhiExJk+pdbLYLNA1faL5Vo9pG0qbQde1E3nRCuY5HlbkrJONQ0MV1WoMqZxutkU5JcqpeQTDqVGleT3UaHjvCH0Ped1aUDWh2iHWWkLezdocITd/540OU5tdMLVSJjuJIK29NEKplTEbuEqpY2vLaCOmGYqqgGxQVAFVjwVHzQXnoAxrupIYb1/j1v41Xr2xz63FEcwde5e28HXNRV957NHIFnNuHM+45ROv3b7FWzdeY/X1L/PqmzdZfuqniJ/+DHtXPtaQVNNsYXMoMJtc+XxFAhwcwauvvcmXvvyn/PmX/y1vvP4VRNZ8on+G3b0Okdpaa3Tv9XI8jweM88TwsITmH/ZvcE886Dmvc0tynaGipHBM6S9RZ5+j6mXG42/jisM04iMQC2FuaFHGXDBrp/A0VlQjgqestpAUWQ83WK97QjSkV8K8KYNaDrjB45eVlbWqoe96hA7TjFDxUvHOU7KnKJQsVAXBY2RC8ITo8daxXq/JuRIFYmhCdjmP2DIR6dCkMBrBKrUmDCgIR6MypoJIoLqGvlrmkeID/SxgKK4oORmuNfSbwF5wjKOAOLIIauWUO+Bcg4sG55h1wkVdY4NnO17lZO3Ye3LGfFY4PB5Z7g8crQbMKtte2KojWyHw+IXL7MYZZRiR2T4qju0w49a1axy+ecThE9d58mM/xn6Ax/yAK0KUJh1esuKDYjYSo3DANsMx7F97jef+5Pf42h/+K1b732I2vMGVx/a4cmGbR7YuMZddKAHnFVDQCAalST/RBho6JZ4A5glyb5Vy30r17AHqA3agevCI78urnieG8/hARDVBhHbKdk0ldDbfYR12MJuT9QDxDm8N6inSoJiGTf3s1kJRNTRVFosVs+NIMprSqjRxvs5F0tgw/61lsXkepNSgqimVu6QqXBs2q1KrUYqBNTtO5zwp19PHBy8TrLZ5N6BNTtyLx1RQ28hqNGIabDYyR60V1Sbml1PFBwjVTRwExTXKQnu2NqhryTRUloPZbNZmDznjfWhy3GkghMB8b85RDtzYP8RfeJrZzi6+i5gMjLVQNePE6GPHbNaxO28y5sfHxywOj3jr4Aa3Dw/YP14wlMBSB77wyc/wmU98jisXLhPiHKMD28xgHN45cMZivebNm/u8+I2/5oWv/QXf+us/5c3XXsTqISEIJQvL5ZLVamjJzLfP9+6QhjFu5ZQ0pVum9+NBDaHO4/uL88TwkMQHbcbwwGGx8QVognq5ws6FqxzOHiENF8BuYn7yapDmtVCZ0DnahptN/bNQnbFYJMKREnvoZz1eKqpt09eSWa8zYzLGbKSJM+Cia8lGAQRVYxybXLeqNhRTgVyVnNLplpRr83g258AquQCD4jxAg8wmNep0PDUnBNeSVVVFTChpY5sJeQQnlejB967NPwCcw5nDXLMRHTOtsglCmGYL3jcvC5vE9JwLjG7OwSpx+8T4+I1EI8QAACAASURBVNOX6ba3WdfK7ZMjDk4OUa3M5pH5VqQLHq2VW8cnnNy4zf6t25wsDkjiOVgN2NZlPvdTP8ev/Mo/4eOPP82VnUfBtc27FDg4Oma5WnHx8kVm845X39rnL//ki3zx3/8eL734FdLqFs5WxGBU8xwcJhaLJavVClPZ8PJoyWHC6drk1UHTK2lLvSWPd8u4f9D40F9n32ecJ4aHJD78CzZC3fTYC5mOre2r1O4Ky/EyW+G71KqoGU42m4OjaNu0Taehcp0ktgX6ZYNuBl+x2vwZRKAkZbWurFewXkL202FUpLWkUnt9N21SzutEFpsUGgBxjfRWFcS7Uzc1MwgO2mxcMBxJoWrjHLQWmxGmK09U8K5Da5PLFmk8hFohZ8N7Aecw0ekU7ojFN04GbXsMZuQ0TGQ2z5ATSvNrjv2MtwbH9UUihz203+JoHFgOa/ZPDliXARdhZ2tOHwK1JI7WS05u3+bk4JjVckFJiYV5StziyU9+jl/89d/gyac+zeWdK3QFTlx7T/f393nuG8+Ta+FjT3+c2fYWf/FXz/HF3/tXvP7q87h6m51+Qc4DMcxwfhu1SE4VETfNKe6al4mCebxUTpOEMEmeT3//D3jdf/ivs+8vzhPDQxrvltfwoMSgdx3SZCO8M2IATWBhC9l+gpPji1gyog9obadiT9MeMvVNIM8aP0EJqMFqqISFktURLOOD4rsIeLyLlJxZj8aYgFkTyTMcw5ibgU5tJ/6+l8ac9s3BLATfWMWu4eudQS4G1VF1ItoBnWu8iaqCEmAzGEbbZh4aWqmWJnEdJLTWSDE0N4cDi0B0qEmbQdDktyUY4sFHJjmOdquTDMViWZjvbhHiDN/NWKyUo1FYeeHWyZKDco2ksByWZB3ouhld76hpzXpYcHJ4m/XJkuV6SamFsSiLIlx55pP8x//Jb/C5n/xZ9i48hjdHcG04fv3mDf7iS3/Mn/zJH7G7t81q9Xn2j5Z86Stf4eTV50iLt/BhQZGRLnrUKush0c3m7O1dxLt4yoPYILEwBfGo6ClZ7w6jusmUa9FTeOz3WqMidyTI/y6b+oM+572+Tn5Yieg8MZzHByJUJmVVCkJFYkMZfeTpz/Hm9T8llp6UlShCkI5sGScOFwLNidhh1uYAWoV1hkplKzm2ghJ7R80GtZ22UwYRT4gBlUgalwzr8RQq2RBJDbEkIZAnCQ1xU1WSjGptoypTpSIO/HQdVxN8bRvdWBSzClZxKE7aTKDNLSppTJR8p69utAqm1paUzAkxerowVQ7RESK40lSYrChqjqJGGpTFCLtXdpBuxsmYWWThJEMy4/qt22R/gniHwxCXcb5Da2I9LlidHLJanJBLJpVMMeUwGY88/iS/+iv/GT//D36Zq488SQweK7DK8Mat23zpT/+I/+///de88PxfsXdhm1tvfouDoyWvv3Wd7dWbiIxoGnEeJEZQwVTpo+ORRx7l4sVHJmvSJsLXKoIJQywecYI432bS1hzyzFpzbhxHQgiT0uz7J7j3oxTnieEhjff6pPF+n1zaKRFEMk4ytRYGDTz60WfpLzxBuraFpxC9kdPYhOnENe5CbUPJakauhVI9JTdmcoh9Uw7tGmO6mzUEU06GSMSIVHWMqdlwmkHfR4RM6NrzvRdSGlGjbcTWCGanWkY0+QkvYM6hpkgVsjTRpGQBVHC0LkgMTWW11oRVsOLQ0jSVoNmEWjVqrmQcFtopWacBrGqZPNNaeyWpp2RlKJXVumLR4/s9BqvcPjrm5kFlOTbdp4PjI6TriTHSRWHWN8KZWqLkREkjaoVSCkMaKap0jz7B53/2F/mFn/tlHp1/hKiBmkEiHC2P+PrXv8Yf/P7v8N3n/4JQDylH13lj/RrLoRLVUWXAmyGyxfZ8TqqlVTg1sbvXc+nSJXZ2dgDwHqxOuiitaUeVJrJXjWbGlIycE1UTW3Ea0E+VwQ87/i6M/w9inCeGhzTea82X9z0xSGWyiQEKSkUlUH3kqU98jhvfvcRwsk8vEN0M1fF0mJxy0xxqg2M79U7ICdarQs1NpM8ZxNBzOByxWkFaJ1bLzGqspNQIZDlDCE2SwolMYnuZMbWtOBfFSUezCzIMh/eCWT3V+jGdvpvv9MGNpi7qgK2d/lQUsL3XgkhLdCA4acNnU5v4DI5cKowgQSdPhumNcw1Cu1wmUoXFGmZ7nsPVwJgrh8vEyZBAGqfDysh83hMiBN8sPM23U3ce1w0dVSopJYaU6GY9T//05/lHv/Kf8tSPPcssbAOwLHB7ccDXv/EV/uAP/x3f+ubXkXRIJ8d4HZAibLmOpMpARa1j5mcsl4K4iElBrLK3O+PSxcuE0OGEiWw4JYbmiMRYjXFMrJaFxcmS1XrJwcFNchl48solnnrqqdMK7Icd54nhPD5QEfykvKlg0qQlsMbaBfC8M89B9MyCPrOA633ygn+X12TnHCqZmiPRHqUTobiRsbuEu/qPWXdfJJT/i5m9RYlwPVxgWXbZnR8jtxNiHmtaFzgvKE187vCwcGPXMfrCpZkyLNbkozll6Tg+Hhl0YKgdKoVsEDshmxImeGsuhmUH1TcCnDOKJIop2kBSoJEYGxpI5K73zYxajRQz3gqmxryDrT7grMllL0uhuA2xLxE8hCjgGpoJMaoESmkbZOw8Wts8RsRAK4uyy/FqoEpklUaC7JGrUXSJ9yuOuYj6wHotXN57lOjn+C7ieof2jrksyWWFxgU5LFjVgXU2nM6Zu0d4anaRJy49StjZYX+A44XyyndfZP+t1/m93/0tTl74bfqj63RdoNaOUUKTTQe873B+SaceX3u8KWM9gVmleGH3yqM8eeETbFXHPCRSGSFEyiQQiCg3l5FbL7/Cmy98g+XBNY4OX+fa/mus/civ/8P/kh97/CpWZsTQ4xyMY8L7ZprU+b5BmqXhW8U7cm18EfEOrxsPCTsl6N2z7u3ehX3/A9I7f/+e9fF9hOj9fr7n/YjzxPCQhBinpyxDm4z15uvwoSDybCQeRGRS5mwIo93dXX7sk5/nay/8FrsXPUwn32gzyEI/7xiGBL61alJqg2kfPEWFcVCga97RrvkYqOapEuDUEtQjuODA3YFCqholt++3VtckkjfNE8rUFwdrPIXJA9mLNQSTQPQRLYrUBkEV8W0eUtpMZINm2vgXqLbe+Z12uaHTY3ScuA4F0mgMCdZjouSMWmHeCVEKpXhyheN1+/v6fk6/1do1qDVOR9fhPa1llSppGFit1oxjISUl58Zi3vnIs2i8wP7xkm9+82We/9pXeeG5r3Dwxnd47eUXsfUbp8xntYIgp6f3zfvmnAMr5FqIW4HsHbNuiyef+UkeefKjuL1tcuxItIoi56Y9dXg48MYbr/Bnv/9v+Zu//GOGwzfIZcHxeML8kV3Cr13Cui2y7xnLZjbj8QKqAe+av4WoYVZJpd4ziL57o/1RQRx9P3GeGB6SkOYC31qz1nqz7XQikwzZfRb9fS6K+51L3qtryrmNzWUmxsgwDHjveeTTP0P44s9x60B47PKaubtF9CfY4OhmgcU4It5hYUL1WOMLLMfC/iHEeWY2N1ZRKQQqiqnDMSdEyDlTSiF5IZhObZyGpbc8KZw6walgThBpvye1YKKnPgkmE6Bm2uhxrY1l5nDUZkyTlYRSaiGNjdDmnMOHDcV3QuSYoNWI1UOFapU0GNWErJ71oOSsDAVWK2PmjL25MAtKwTjJjuMizOZb7O1eot+6wOFiYLFY4KPQbwdqKTgztBTSqKR1pRabKkhH3/fI9uOcjMJLzz3P7//u7/Dtv/4SqxvfpR6/xa4lxn6G9w0d5pwj53HaZNt76DTSeCGZyoA4x8mq8MRHPsMnPv3z6IU9bqshq5FxKKxWCyw1u9Rr127wNy/8e57/6h9x8/XncOWE2AkRx4X5LpnA7eOB/ZPMajkyjiO1FoyK98bjj1zi0qVLzLrm/RBimEyT2uB/Q9G/4z73zi3UH3Ty+GH9/PPE8JBEmMpl0w0bqvW/YVNIvLsS+F1++75x9hS3gR9uEkV46hk++vl/ykv/z2369XfoOkXKipMT4EIPbjKHCQ4XoIoSfCD2jvWoHC8824vK5csek0pFSRVq7rCY2yB5sx97D3KHu1CMCTHVdIocvnEaAAqYq6edNwdTC2RzXxjHigeCOFDPsK4gGxG/hj463ZDUsMmpzSZxP6UJ4hUiSStjFVIV1ikwZuV4NXBxC65c6IleSVbIJtxcKgvZYWdnj9B35FxZHp+QTZlvBaT2KJWSU/O9HltysNK0p8Sgjx2rw0O+9dzXeO6rX+HrX/5jjt56iT4fMJc1USDJnJTS5KSXT70YvA+n8hUla+MjhEIxR7e1w7Of+jw7Fz7GMsHRwXX2b93i1s3r1CGxXgwMq5E337zOjWt/xe03vkGwfYJfYkXowh5zPG9de5n14ojjowXHx0sWiwWlJMQply5d4BPPfJKnn36ay5cvMZ/NkNqMjZw0Tkit4z2V6tvW9QNuzO83XPU8MZzHA4UXw6lQxSbopqGT4Ymou+/OrfczMLnPej97QZzt1d7v8XcnhVorIQRyzpMQnGc/L/iJ/+ifIutDXvzS/8JuVKJCmMNiSBSFNI1RQgiEUFiNA1odaRTqrZHQwc7uDsEbsESkMZtzXlOr4R1Y7wghktKqOZ9pa9s4P+kkiWMYKl3XjG/a5lcYRpjFVilsxb75E0xw1oDHqhG6gBUoauAEo8OJYlMSU6vkVJDgAKXSKsA8YZCKKEkhGaxSZSywGpXLly7y1OOXWBy9xcFiJOz1LLNwe1EocRs3ZNbDCYdHqzZE98LO0DOsljivpGFkWA+MQ6GmJrXhJRJj4ODggG/96e/wct/z3Ze/w8nRbTwjGmBVBOsjVTNVCyE0S9FaC6rSlFKrYlWwUiAoXXAsc2Z+cZvLj17lzTdv8PLLf8QrL7/Iq69+k4Nbr+Es4UmkYUBz4eT4mMASxxLRdYP2lsDhjRv8xR/835SsnJwsGdaZcRzxwSFSefTKI9y8+Xlu3HiGq1c/wpVHr3L18lUeeeRR5n13msw3SeH72dQfdON/0Me/beM/8/S3D9jPZwzn8Q7hEGyjhYA1iB/QGuN2X7XTs8vt7MZu90F8vB9YizvlPTiUsrXL3/8nv0lxr/M3X7rBI/4YOkFWlSCVxWDEXtia9xQVTCrrsaAusBzg9m24cMFzac9jsmzwT+cQiUCiKpSsJF+IcU6tjdcg0aEutNZDNcR5hEithVoMD1yYhSbelyquevK6kFNiGGDUBbMeejcnq6JeSDUxZmtzIIGum9pJzlEmjgXW9JN01iStU6kUGhAgpfa8i3tbbHeO6zducLJeUxyUEd46OGFZPC5G1icLxqGwWGZqUWZbM7RmLCdqqQzrNcvlmpoMJz3zvqOMRsqZVVly/VtfpqqyzmMrqbwji4O4TXGRkJsIX63S5iMixK6R0GqtIIXghUDESiaI0Hu4ce0lTg7X7F+7xbXXv8M43iK4ga1ZAR1JwwLVQucfwzG2w4l5et8zFuXk8CYnX/0DnAuNKGjN8wIv5JLYX73KzeMbXH/tozx29QmeevoTPPXkszz98U9w9bGP0nUz4sR96LoOVf1AIJs+CHGeGB6ScNLE2DbicphNpvAt9H5oibP3z55c7lPCvh8F7iY51Vq5ELc4GUd0fpHP/ep/y63DI6795e8yL7eR1RFdnNHJQB4qW/PI1kwQKQiFVakMIxwfC0cHHVGkaVqgmAzgIuYqzhSTppfkQ8SsNgRSVUymAbVzp8NVM6OLkZCFedgmpcLqZESDocmgCqEYgwEVNClDHXFOSNUogItCjA29NAwFFOaThbKXCaO/NpwqEZhFhw+BvrbM0AfHMK5YpcxKIifmOTmBowzqAsNyIGliuUzk3FBrtRRKGikpYlYYx5EyFjBP9B0lK6ptPWkurGvBrBCCtAGyCt5FTHo0F1TL6abqXPOh8N6jWjCrGAnntqF6dKz44EnHR7z0za+QLeLTgnFYMJvBvBOEAlaa3pPzqK3a5EUD1EDwHbPeU8woeYV3kRA8IopZwuNwoaJlQT7OvJVus//Wdzm8eY3j/ZuklBhz5vKVx3l0d/uuJf72dtK7PfB82PhEmzhPDA9JBHHUqZ1kDsTc6cBZBew+B6Gzy+1BeQzv9XK9exioqvRrR+xmHFbj0Uc/xS/8+n/Hnx15Xv3ab7GnAzWDN0cqyvHBISrNIjR4iFutj1/GjptvjXjn8a4DGSglk2mKqOKMTsFwrFYrvJNTf4Ey4V+bL0Igp0waKnG3Q4pjXAygUAdQa62fPvT0XSDrGqqShtyQTDTRpNgFJESc5HbKDkrwns4HxnFNKkrfR2Ix4qSj5IrhrTCjzY3KasHRCmzmsH6Hg1XhoBjZPBQlpcRyHBjX01BEoUTParGki03FVSfUlag074pUybngzFFqZZAeLw7qgAc6Z2AJMWUcCvRxasWAOCOE2PSu8tTb80bJCVdmCO0zqeNIXt3CXKRwg27eFGtTFZx1mM5Q3cL7iLMDqAGrHdSAukYOVMm4zjfyWzbMlNhFDEWcAwtIPqDYipJOuG7KyWrNeigcHa/41GeNnac+xmw2I6V0Os+6N95baZn7xfvtSf39xnlieEgimhLMWmVgDZWjk6S0p2kQ3XFJmMxU7vLSda6cYrm/V5i/d6mcLbmd3NvrPPs69rbW1DsnntPvCk3eWkZMoTfH4eGaCx95ip/9r/57rtkeb33pf2VeFuz0ynINx9lIfouZJnYrZL9DFwbWeeRoPcL+nN3dPdbOWLkRxjJBSx2DOBCHmhGtEB2QIPhmbO+yEYqy7XqO1yu8jYTYNsZcjdA1aYqxwqpmxCveb1FyIq0T2zPHPHq66HFaYZ1ItTa58eDZ2o70XWRVR5JWZqFQ5ls4rezGHj9hWNfAQOAwrzgyJekOx3nGulbWw9DY02VA0kgdaOKkRJwLaPKsFxWRNV3viNoxdzNSLpQxo0nRbG1zrR5XF+SixOgJfX9aLdm03lylaRY5T5SIN09eZyA2janVpOVkTSG1JiWK4tdHjTciPTH2WDZqqVQq3hUQI5c1USO1VmJUXFdIqVUQsxAobt4kzycPCquGmZvADJ7iIp2C10w+fIPVcMSLwxFDOiLuOj5ycY+u6+i67ns60Pn7HHnKfYZv/oHzytlK/UGf/97EeWJ4SCJ4P2nsTBerTpWCSeulT0zdlgwMm2YPnFYV77wC7zecfvvJ6r2fOpgZXeeJW3PqULj46FV+45//C/73r/4bjg5e4omZo+ialK2ZgLmeZAN58lnAmmLq4UEbYLro6CKU0jaeZtnZqovg48R8LpCAWNjb2kaqsj5Zc/HRHWZd5PjwqPEQRPCxYy6B9Zgw71itRwD6ziEWWI2JWg2ZBcCmXnxHdMI4jgxDJkSYz5tkRevbG2ojXoRVTvTe41ygIBwslxwvlbFzLMrI9eM1tzJUHxBTqKmhpmzzcdxJ5uM4gm9+0bi2TsYhkVJqLngKVe6Iz23y+uZAUEq5i3ehp/++W7Su1kophWCx6eFNjwnB0ffSFGatgrhTLkmjPfi7ko+cghD6vp+8voWUUnvMVNE1L4v2h967VBURP1WJQs2Jw4Nb1Jde5NJjP8bxUz/JxYsXmc3693y9fpjj3FD1IQmPTW7G4LAmq4DhpkoiOtduXoje4aURujbk3YAQxRHFEZC33Rzcc/Mi995455uY3XNz3HsT03e8oZVu0qperUFC4PYicfXJT/OP/ov/gdWFn+KV4x007kFxuGoYnrVtkXPm1HhHmvTFycnIcjlMJ1lPlYCaJxcY1rm5tSVFMzy61dFXiLVyYT6nC6A50XWB2AeOF4X1mNuGBuRa6LrAbN6dmvbEWWA+j+i0YeZcSSWTtdA5x85sxs4sQK4sj47RlNtnYUKwgtRMGppjXUIYcKzMUecdeT7j1nrk1jpjwVFMKWrUYtQCsrE2YOqjW52kLxTUk3NlWDcOwDjmpjQ7eVtsSIbet8HuRsn0bjXTjQ+E9x4zm7gEd8TsUilkLagYEsFcG7oXU9L0/tR6t/R2kzUpZcM1CJh48mSvWrTJqYuPd/6m6XZ3NQO09eNs4qEYWjNpWDAuDpm7xHw+n5Lb30191SHvePuwxnnF8JCEdxuBN2mbj7T7ujFwOUOBdnf+yeYLjaRl31f5erZVpGdK6rPOWmeH32cvwvtVJM6a6qZqQ7oU75nvXWR/PfD5f/bP6S99lC/+y/+Z61/9d7i4wrFuBLKJdbvZOMrEiHZOSUUZRyOXQowR8U32wlfQVKlqPHJhiyuzGUuWDMOI73q2usjB4YKdnZHQB7o5rNcFlwZi6PHeN8XP2DHrK4thzTCumXURLVDyJJ1NQ/5YzsznM2KMlJKmTVWIXZhOypXVOqEeVtnIFG6uM0cFtAvcrJXbBVKAqgXnO7o+ghOSjs31VVu1JNPn4mlQ3GGdcNVNySqfylsDlJrZ+FJshOpKKdMm3j6/Bi1uelGgE4v7TlIwa0q10OZgznnEtecZivOCD+E0IeRJk6punoTDaMl0GAZqradJSKaKrknByFS5tIp48/t536odVSWPhdjPmPnIVufZmYUJ2hxwrvl+P2hyuO/jPyTaSGfjPDE8JLH5IJtPQNsAoQm3gVCmtsAGdhq8Oy3dYaN1JPxtWeEsQe7sxt/QPHfPKB4M3SFO7j3pnbngnAQq4MzoY5tnKGCu58XbxgvHS3Z+/DNs+UNufP33Ia3JVlDXoyoNTz8xw0WkMZAp1JrIJqSaqWmgCw5MiCEgxXBFsZzQNBJF0JIQmj9A1kwXBFwg10I+SezuOsR70jDiJuimSGvrpZLpfKCaEJEmGa5lMiarxNhhtA0qZ0M1NRilNSht9sJKHTcOE7cTLFyTP7mhiRXgZmHiXDgQQXxESRMNfHpPtYB4zDWUlLk2dM4ln7aNNqfuWhvju+/D6RD+7Im8eSPIKf+klIpzQtd1TVI8FaaxDeIV8UYqazrXNQvSEFoFoUrJrUqYPvHp/0qlDYWrAuJRE7QopRrFprmAbcicjZV+yksoGRd8g/+KkLJRUmarGnksp4luGMa/U8Ug+uHc+O8X54nhIQlvkwUlgDnCZo4AMBnkGoaJ3jVnuPsx94t3rgjq6et97wvl7EJ725B7yknG1Nc+83spDpkufk9LfkLbCOZ78Or1N/nqn3+Zj5a3eHxvm26xZrUGH0aGEECalpFWcNRmqmNKCJ7t0OQchmLUVPE9hFLZ6iDmkVUpLNdNwbWft+aXSKXkJl6ozlGFRgwbRrquYzYLzQvaGbMtx7BqHhC+bzpOIXbM51DqChuUrBkrrVcv3jW4MTDm9rlmMwbrOCiVAxWOxFiJkEptcFgPSFOnVVXUtc+2IDiaj4Ob6gWxOg1pBTNHzblJlwMiLTlMxOCpErgzW7g7MYQQiDHipo1dBEJom7L3Du9dO4nbpD4bBXUFCYKLDhc6cAGt47RBb4TsptUyfd7m3Wnla9Z0o06hpZvf93u0k5xzBOfweMZUGLIwVuXS1St8/JM/xeNPfpLd3V2ca7pRd/+dP+pxnhgeknCTQE8rGKZp4yStajJ90CKnA2qmltHdA+t3irP8yrdt/5O43N+GbLovj0LeLotx7wOaRIM3phP75HomEMvAv/jPf5OLfeH53/s/qXZA8PtcmCmjObQXctYm6WwwMQhAWm88htZqiwLzIHRm7HbCld0ZPcZxDpAWDBnC2HrewWcaGrOAi8ReSMVYj4YLlVnfo9YE21z0uJ1AHirjuuI7JuJXIARHiUpRKKW1ZZx3pxtcLsqQPVmFNZ6DIiwkMHZCdjBapSbB+eb0duf9d5gY6j3eOWzT89fa1He1teaotFP6xhfHyzQkFpxridOYWj9mpxtnGyLfSQwppVaJTcNh7/3p5+hwQCO6iavM+o4YOryPmLZBcnv95lG9kS7frKPNoHvzt23aSM457Aw1s1U6d+YfAWFYDCQ8V594mp/+mV/gqWc/yyc/81NcfeJj7GzvnP6efxeXt/sqAnxIxwznieEhCX+KMnIo1nqt0k7aAEidLhZpB0trSBQm2YX7L4QzraEzF4S5Ownne11bZ2F/Zw9mG9XvzcX5No0YWkvGoTiMIIrZCOa4PI+cDJXf+M3/mv/w08/wxf/jfyQdX2fuMk4Dq5AwA+uB0gx8nFe8eUopuFrwDroZPLKzzVxgTsLVEY+i/gLSdaSUWAwD2/M5fT8jLwbWoxJ2hX6+Ra5LyqTWyrxna2uLcRxZaWXWzZjFLZLL1HHgZLVGFeZziLOAlUIp7cQq1ox5DGEoxq2xNKE8ySw0cqzGMZCDUL3gJWAKWUsDB0z/cR6cD1PO1ikp3jkVn0qpTxWk84L3TdlWXCM9+Gnu0kTnWusxBCHGOJHYFKQizvCnmyuo3YE/Gx5xzZVtI0zYhtoDOSlVyzQ3cHfaQHetM7O77TzvbODOOcSFe2YMbTZxhxiZhgFzkd1HLvPZz/09/uEv/jrPfu7z9DuPoCZEd0eG5W/TS3qnuO+jzxPDefwww9/FcvZwqoe/iSLd23r4d7d+wpkFfLaklrM8hDM1Q6ctITWNpuk17u5F33W00mkovvk3QJzmHVNHg6qTic30Wndfr4rbaF1P9wvzzgix8NRPfJYX/8Ev8pVXX+SJ8ToXxyUvd3Nm0RPTgi1aYrA5HGolRXg8Qd+Dtw4bCyVl8ixAcJQIO6VBWiXBWhP93kAXjDjCeDKj9gt2d7cRZixOBsYRYhjoukA/E/wabBjpZkK/6zk2o+I4WirZerZ9IPo5lFVDC9E2Q+m2OBRIOBZaWITAcmvOkVbWVIpmxCoEQ8s2ott0QfCuOd1VE/rYUWMTDVTRacA6wUJlel9DOyA47/FBmp+FtY1SMSpG1lZhOk/zzvaOOjnKUXR6vVbtNNRS+1ZjUBdEm2+1SKQkTxWapEitXtgvCgAAIABJREFUONdN2LXGKjfdAA1aAomxwXs3VUophVJySxh9RCd+hErBRcMmJjYYO7GyHAdCuMz127d448ZNrj5xzDMXr2C1TGjZ1roTJw8+LL5fInmXM4h6X9zo+5N5zhPDj0pI6wGz2aynoejp/fuIcX0/y88hqLQBsQo4kWmTM05lnDavN8lPuE3LaxoKe6De3VKCUynrvzWqMut7FstjdvqOX/rlf8w3//C3OXr1JqXABS+sxwXSO1ZOQYQQOraSsW2OnVgIoSMn4WR/iSrMZj2lJNQMkdQ2JK3kBFoDEhUXhRCVITW28Pb2NrXAajWwXlVijPT9nLkYhycnLE+W9POe7e05mguDjgzDSHUje9tzXOwY8rq9nhiaBkYTDkpiDayoLMoaiR2+pf92opY7PIIQBD+hhPRvsT/ecA82e+DmpLwZJJ/28id+QpnaUM5x2iqCO+0lmX7+5mtw7wzJrLngbX5GQwG5041+w0HYcBnOSmCfrSI3zxNpQ2gzwao2YpsozjzRNWhtTkdoEK7f3mfsrnHt2jV+8icbAitKQ0RtKobzuBPnieEhjbeheiYWtGwGkG+7f+b5Z+7Xt+3M9953bBIOKDaZdDY+xb1jbjfNE+S0WmgSHnKasPxdLz/lDOwdTmYRj46FebcNFPq9R/nV3/xv+Nf/2/+E+ttsHx3iOs/NWjn2MFZjj5EL1XEl7LG3Gzk5XrNaDqyGxrnSS2DqSKUicY3rdvDekbKxXgh96Imx0m0VssLx8YBpIMb29eUyk3Jhy2Z4r+zMe4ZhRGui81ADzOaRMWeGNeS8pu+bSc1AZqiwGCpZPCczx2hG7XtC15MVXC2TcmmF0Ia7RkYk4jxs2jbfa8PbIKXavzceGHcURlX1tHe/GSRvNuONMN6Gy9D0kex0prCJTcW5eU3nmrfDhqS2QQNtIKZnuRF3Q4w39+9+3Q1nwm3QdC7cSSQ0P42SjBIiI57sOx772Mf41Kc/w5UrVwji8OLueS82v+97Ge/29d4f7dT7x3lieEjj7TruG1boBrLJPffPpoKzzw/3hZ9OfWGz08qhdRo2aWf6Gs0nom347VUUmdDq1gxypMEb4a7ZwzuU5AFHypVuHhkzXLrwUb7wS/+Mw8Nj/uC3/yWX7TuIq+y5RBcLqRS6IviVYjVzbJXjk1WT7ZY2h03Z0Xc9Y16xUui6kZ3dGfW4sDpObM1mdDOHn4/Mcs9iHFmeLJj1O3gX6brMel3wYcWOd/SziLjmXZxzMxWKWzM0OdIwsh7hJBv4yto8mY7D3KC0i4uOre1d+u1tjpcr8jiC0RzYYkdxyvj/s/emT5Jl53nf7yz33lwqa++q3qa3GcwCzAICGBIYkhAIkTRtEyJB0gRMS6QdtP3d/wH8wQ7rg+wIh62wQqZo2gw5ZJGyJS4hhUnJlGiSIGiAA8xg9pnumd67umvJ7d57Nn84597Mqurp5nAwwKhZ70R2TlZm3byV9+R5t+d9niDwNqrTFYUG4bFGIIQ/PFPSbq4xy4gMs6SNOk00q5gdKKXQsq34430s48w3g0lw0nnH0tTsm59nWUae5+28QjMVPZ9xRCK8w01gqSNKynmLd7HfoKTCBz+TrA0yBRARbtw4lb2Qs7J+nCeefpZ//wtf4qknP0WR5fQ6mnJUw4H3/NBxG32PehRHjuEBsUNcQ+FgRM9cUZk2Om8eu4OvV/sRRof25QOvDyHKUUoxe14Cfq5GGnveMpH6idSTANWWmuL5yHR+sSyVSlAHexzzpQrrKJRGCai8YFgaimKZz//cLzGWBW/+9q+ws3ULPZWsVgHpLOVkymjs2S4qui6nNgGddQnOU5mS0bhEZgWVgSInDr5p6HQ1ezemlFNP3lOoAnKv6RYWUzt8iDKaiHicaVmT9zKk12SZxtqauK/7GPVrhSj6WFdTBcHuqMbqAiczdiuHRSD6XdbOnaG2hr26wk4tKgi63Q6FLhjXY+rKozNBloPSDik1JouRtqNBFLm0Ce5HFllm8wmzzT06kDzPcbg285hfZ01DmLnfb67NfLmo0+mgdaQtr6pqH7qpOea8EzkU1CiPEIE8ixodVTUlyzKMMawsZozHE4TSCKWRIsNaR2UdIiiOP/wkP/5j/y4/+EOf5+xDj7LQXyEXOc6C1jlO7D/v+23079Xe9/Hu++tHPYYjex8mDtKrHnIchxfYfHNahoMkee9yuBCj/OZobbCZBEa98Cgv8elxM7fQKp9B+uVGfy4d8wAsUc05Cpll1JXFVdBVCu8joV2mFvipL/0y088+y//8d/5bvvHPfpfjPnC812G5s8btyXV2rWWhtpEiW+cEHNaVlLWnayOyq3aQdzt4W5MpSb+vmYwrZEdR9CVKepQMeC3QWpLlApnlCBOoTcXuxFA5T7/QZJ0cLWumFox1OK1weom6qJnUnttmj/HEUdkRU+MZDPqsdBdYXFyhritu39oC7/A+TrgH1UTrDimjgp3OYrrWRObzswcNC6qUsw05BD8rIYWAUoIsDREaYwhzGtjOefI8m9vYY2+gcQJSyjhFPh/xp+E45/Y7mNYhtEurgVHvhyzblH24lIkordFZBkKwXY4RSiKUpDKWqrJ0+wNWTx7nk596lh/47E/zyU8+S6+7gJY5GhVV8hqUWzq35v2+047h/dr3CtR05BiO7C9k8j6UF/ODcvOLedZwTtDYND8Qn/AgZBq6mgE8Gmqf+Xc4JE06l8LYYNGZjOUEH/Ah0OnlTMoSB3SOf5z/4r/++1z/8vP8+t/527z6p39CZzwGvYCwNTuTGi0DgQqsRqqc2tRYLxCqoC4FpiPJVIXQjsVBwc6wZrhnkB3NIFeRJK+0OF9jnUBqQZYLagdTB652CAVLCz0KrahqQ20FY+OZ1J6tnRHD0rFTWqoAPn1we5Mp/Z0uonT0lGahyBkJqL2ltjXC5e0Gm2WSTkfT6QpM3UBCDd54fBriCICUEZbaDoMR5jbHWKLKcjVrPge/byM/uHkWRbGPpqKFqabbZDJBJ56ru5HuCXk4Up9/Pz3XX2hKXFpLqtpQqQECRaZ7nHroNOcfeZzHn/g4Fx5+lPMPP8bm6qmY2QTo5Dm2Tr2Ppod1IEv4TvcY3q8dOYYj+2BNHJzoPBjy37vNdXAO4XArOsFPRRvw78scQLR9hYCMx0sYdYRk1oqOm1OUKJ29z700q6e2olt0wCdYpLVMhzVCBrqdDnf2JDIUnP70Z/mF/2qJX/3v/jYv/8G/Itza4qHBMtt6C2tgOCrp5D2EkJRV4hFSDmN6jIZjVlYcPkBWeBboszsdMRpbCjVGCEWex6i1LB2qoxEqoHLQrkNVl4SxQ8oJssgQWY4Pgu3dMVe2ttgZWQxgpSTIHKRHSY+1lr2b2+zd2Ka/kNOTGauLA3bGE0wAFzzCR6K4LFf0+l105nC2xvtYx48c7D7WE0VTAppNMXvZOAvVVuzqukYpRbfbRXe6jMfjyMiarm1DqqeUgjDLCOYdQnvlkwOa1zuYLxk5Z+7ieBpqCxCpse191FkYjscA9Pt9zj3+wzz51DM88uhHOXHyLCvrp1heO06W9xAKROnIpCJTgAFFQmQh4ozjnCM42Ij+MNj36nTEhy11OrK/rNl9F9LfR5nn0HUPB7mODjx9nxXqDrxgvl7doFL2TeU2r0/3Rt37/Q8e/71YLZLmsvDk0jHavs3VS6/zK3/vf+Rf/cvf43S9QyY82gU6OmL1RzXQzcj7K/T8Hay1dLvdOBfgDa42CBGwxiJFRr/fR2vJaDTC2DpqF6QoWbnYeygtOAUsFmw5xa7u8fbtIdvXu5iyRnqJcJ7gbWzIKo/MIOt5Hjp3jOPnFyn9DsNyiKklkz2BDgO8n1DVI/rdjI2NDbTI2dtxXL+yw/adEcYIEu81qpNHIIJseglRZS3viLYEFNlOPb1el8FggMolw+GwnW6OlOChjfhd3ZSqGqhqdAJKJxhsLtKsQULZhECea4KNsFFFH6niUJ1NMwnRicXMItBBOIvE4aXmztSy/NBH+NG/8WX+nR/5MisrK3Q7OR2t6OV5zAasQWtNJZISngfpwyxTEClwuY82ub/Psrvf/nm/5+X73H6f6ssPxHccZQxH9sCbTP8IBF5Iiv4Cz376Bzn3yMP85j/+P/h/f+t3ePOVF6l2brAiPQuZRApPqA3Gb+OUI3iwGKSNjdBMkGCWIKTBmQlC5hQdTagd1jmM8RGe2euipCCYijujium4YqIELlPkhSPLA6YyBGJk3QwrNhO9kzGMhhNM2SNfyOmGDgSHUp5gI8W1d7Ghb43HOst4XFJOa0wqncTQO6HThG8V65SWCAmdTgfvo+Ib0M4zVFWVRH4EWmcp+m/mHBLL6r4gJMQhORlZTaWclauajKDT6aCUIMg0RGdSljBX64+hskKIgPcxzxQhEJxleWGBzZUlejpO8Sst0HmG1Bk1niJXyKzAWpAaTG3Ii4xg4rwDJK0S/q0dTP7A7ShjeEAsYPZdyPccyXyPMwar7o0KceLekd29LKD3wXNlJqnrMjoLGTBVl9/9v36Tf/wP/gduvPJ1FsOUTjCoGFgjHSgFSoMS0C0URSdDiiSdGYNxlIasyPFSYn2q4IRA3VGULlDKjJ26Zuwc3UGHwWKXqhxx9WLO1s0dqEG6SBYYQgAZpUQRjqWNjIc/epzBusYwZTKZMhoazFRQTQJlOWGh22EwGGBruH1rws7tkrrysaCu0sxCFlFELgS0jtxGSou5YbVY+99HQSFnrKtxUnl/w1aG0JYqhYiIpKiBEH/fONc+zqSkUxSxZOViqczVKolJxelsKSPPU1Pm8TJHOItK09gWSXd1k8H6SR555sfY2Nhgc+MEGxvH6Xb7DBZXWOgvUhQF/Y5CCYEta3KReKNIjkGAvs/Cfr8Zw/3s/WYMT/Y+mOLXUcbwgNiD7uDvJ7F4L2u0JzyCisCoLBGZprQ1r7/2Jq9evMHr196hGgzYyQvKumRJajCWUENHQS4VJERNIRwdJVAyILWilIrKWuraY+sakXXwWtHpDugPlhhisbKgWN9ks7dE0DAd3SKMb7GgJCdP9RiPdpjWEcYqhIcQ0UPex/vxnmE6Miyudyh0jskMg77AqIA3YIwCJOXUMR1bhnvT6BSQSB1AJnlN71EKsgy0Vkg5i5ubqeR5+Kb3PmpBNxBXZOTDQ7TOI1DOegbCI2Sj1+ASAkq1mg6ZUq3ehBLRMUnARk5tpNTpM5j1IoIQCBH1KySggqHe3eLyrZtcvnydbm+B/mCZYxsnOX7iDN2FFdaOneDE8dOcOHWCE8c2WBksRrqOZt5PpNsHPPB8v2b2hzVjOXIMD7DNR+CHRc732wdBNzwfVd7XvN+nBnHQ0flg2+Pc73iNmEtDdRBCQEkdNQiMJyB5462LPP/ii/zR177Kt77xB1y+9CZmuIs0JdoGbgvIJQgtKBx00EipMKamoyTVbUu3m/oRZBw/eZ5jmyfYPHmafDBgefUYC8tr9AdLFP0exeIanbUThM6Aqppy/Z2XePGP/2+G19/kmn2HhUFONapj095GOhEh4/lrleMqg5J91pY2yRYc8tY1pnKKEo7x0CRqiUjHsbs9YTokNol1BqICEZ1BkJBlik6vSP2EGu9p+yENYmgevjrfOG6ygGbSWSkVSQmlTFlDhL/uQx3RkPJFgsEINRYtkslgIxNsapBLoVqerRBCuvYQvEc4iwgSLSwLWlJOr2BKxZ3bitGNt7j40p9jQ87i0jq9hUVOfeRpnvvMZ/jMp76ftaXFv8iyfU92cC3OT3x/2BBO78WOHMOR/VthB9Es93Jk82UQIEJbgwMnEM7y9ltv8e2XXuRrf/o1XnnxReT4KufWOqiNhainbDyV8ZR1rN1L7zAy0MkLTqytcurEJhsb6yz0+6ytrSD7Jzl5+gzHT55icXWNot9HZjkuCKwPyKAJKscqgQF0Bh+98BhPP/xRXvnzr/Jv/vmvc+Wd6yhVoxBUNmpH4AVSKaTIMKZm9/aIbmeZ8xeOs7qyzsW33mDohxQdh3WSYMA2k+YyorqkCgglkDohjhR0u106vaJ1mo2U57shiiQKEUQscTkQMs5QNLoPqKgcKNLkSaQNDzRMqWIOXzaPPmqvl46070KIpFPevnt8XsZjKRn7CCKAlllyGiOUzKktmLGjtjvIbIFrO7dZWz/OhY99itMnTtLJc4KblW489y+P/lW2I8fwV8QORuCHS0/f22+JPMirf3BOoqE5iA8Q98Ceh1iDaSk6kJGCI3iHJvDYuTOcWF/huU98X4RzmhvoLI/TsjJHZBl15SnrSLdQ12UbLQ/6iywvLtHtdslVTpZl7JmZ9CUqypWFhIbJ0kYXfETkdCXUU49Sgs3Ns2ydHrG+doKlxXW29C51FckOmz9PSolCg+qwdWuXN1+7zLHjaywPNlhbGlOOHFk+JLcCj8JZh9YKnVsksabuE00ECAgS5wJVZVqFtYZ3aL4ftG8ADXWovNT0G5RSaCFjuUeqmDWExIeVRtdDomIPIV7VSIUhIMFxlfSQJpB9EAhxkHfJoqUkoLCAVgrrBcEFssVVyrJmbKvIoyILVteP89TTn+S5H/xrfOzZz7N57BhYj3Cxsd9M1PMdSJIf1BLukWP4K2IfdsdwP5uf3D3MA3X48XwJLVa047S0zDR5cHSXl9gc9JFSMuXhtuzk04CX8A6CReKZpOliLISgKCclme6SJa7yxQUShQT44FBSYkyF1AoCVEIghUN7gzSWXp5TGiiDZ3XzFE88/gw3rm5z7dItQjWltgYpFcgIJzXOgYTJsOK1V99E54Hjp49RTaeYMmBdhRCeLM/wTtHtKqwpCS4OEUqRtzMkPoA1HmNt+qxmgjpNeajJztrPMOwnuRNCxD6DF6mE5dLvCASa4EOcrxDxNV7YfY5cJmSTC/F9My2JlNyNslxSDWpejyWEDBscwctYFiQqvd2eevqL61x4+CE2N07z1FOf5PGPfpwzDz3M4mCFrDNACUBIOlrgTBR7cvL9N37nP6MHzY4cwwNi99/472OHBuAOHv8+TbQDcxMHX+32wTua2eb5F86fr0S0vJLxBQ21NEK0U9HNBqZpGD8FSE2eQ21SpC4gD7F2rzJNCJLKpo1MxTp7nhhDhSSJz5gI7STKeGobSekCgHDIQiIyqATUxtG7LcgKicih8mCFoZYu1s0F5HWeZCxzjAfj4zxhDmysF9jnvsD1epEX3rjD1vWvoZWOePsQJ8WlmELwhCqwfWmP181lbl3ephhIXDC4apAaE5IsB6ErZObxUhCCwruAs67tH7h95ZyAkHbusYyDYUK06Kg61Pt6DvPoJeccBIUPEpzc18tq1mDXBVQBUgessFjhCeRYmSPQiHqc4KouqjJ4jwgxG/HWMc4yhA5kCrwrqc2ILAi01HS7mzz3mc/xM1/8JTY3P8Li4okWdSSipEZcBxomwR/a8ZS/d++tWYUhRLbguBZp78W7oOXS5YuN9OQAVctonFZ5AK/u8z0Nf3k03vuxI8fwgNj7dgwfMjsMpw0zJElzl/D0IzOhKg11XSNVHpuaWY7KMjKl0Gl4ziVNZSnisg8+uSPn0CJO2jofWrqN5gwkvqX9DkSm1OG0Ym80ZloZpC9QpaDTzRgs9NBC0kHFzdx6rPCRTVDGqD3WMqJuhUZw4uQZPvu5v86NS1d47RsvoAjYapr+7MgS1dKEOLhx4zajepdiIUPnEcmjlEApWu3kKHKjYvTu/L5NvY36SQ5A+rnHvt35DjqCpl/QJmghYj6ttW2DuqXZmCs9OeXJvY7lwphsIERAEqIgkE2XV+hIwugDQmTkIsNri/UBX/s2OFCyi0dQWtjaGWFsQOucxcVliiJeVy/SBL1xs7/tO7Au/6rYkWN4QOyDdgz3O9z95ybu/fr9PYVw6PWxFBFgrpTUIFUqW7E93ObmzZtMqpKiKOj2e3R6Pfr9AUu9xUjfgCTTGhKRmki6wkpYlIp18hDrQfuw7gKLFBIXBMbDaG/EneGE27t73Nne4boP9DpdTqyssOkd60WH5Twj9xKspewIArFMIlPtXSDQISDwWNlhbeMhPv9jP8mf/dGf8s0//EN6nT6+LrEuakrH4N4gMoXuCKyX+IlFGdGS3mkNxgTqKuBs1E12LhC8bKVURdvASJ9j423mHls7I82baTw3Q2tybuYhvYYZemme1qJxEGUmCUqQqQwhHcabmBUIk4b4MiBqOkgBZB2ci5oU1sW5iNoHKuOQWY61DhUyCl3wyKMf5cJHnqTXX8HZQNBNSc8jca1DfzeU0Ht1Fk2fJK7S5p972IE3aPtk6akPK3DpyDE8IHYQpXO/jfq9Qum+247B76dahTCLapsGKSEQvGdcT7i1s8VLb7zIxXcuAp7F5SWWllY4eeoUp48/GmkTii49IclFRNCo9M1UqFjzdh4tBTZpRzQDuFJEoXrnPGVpGU9rLl+/wetvX+LSO2/zjnMs9Qc8fPoMTzx0Hre8il5eYqAg0xpFjKgdIXL1BBcziOCRCHZr8LVgZeMhfuJv/BzvXHyH7UtvkKmABkof4pCaFuhcI3KBkBJnPS5N99aVJcviZmyNxDuFdwJrfaulDPtJ7GDGDzT/2DnTIrvmX99s+I3Wc0vep7P2d5vrs69ZHXxEPhH1rKWKk+UQsxNn4vX0GaCjMp0NniDA+MDq+glWVo8h8h66GLC+vsnpU+c4efwUjz7xOGfPXiBXPTpZh2Bj/18Sj+lSD+UvGyfdbd2+F8dw8GvWDnXTOIYPp2c4cgwPiL3XOYSDLJnv1th9L8ebt/tlMPOQ0xmZWhOJRmK2qPQV+wHW+Th8lY5ljWkncD2S2lm297b5xje/xu3bN8iKnF5vgXMXLnD2oY9xYmOTM6fPsrm6wdrKMXpZF+UlmcrJe6qdwg0+JLhlzFLi+VicdSiR471nZ2eHy5cv8/VvfI1XX3uNG7t7dLt9rp95mOFHn+aJjzyKP3+eQS9nabFP1xu0kG0vBBeQQoAPSCkoJJQoFpZX+fizz/EjP/Ea/+R/+XvIUBNcTcMdVCx0KPoaoeO1y2SOrR3l1OC9TZlD1CNoGPO0zlsZz3jNE7RUNIylASUkzkVkkBAhzRckER8RM475Zn7sL+jZGlKxnKSUjPoNaRDQOUee5/gQUV1KKpyp6WYdjK3QUlHXUbhIZhKtMnAG7wJaBsbjkv5ChzPnPsKX/qNf4sIjT2NDTn9hmaLoIQLkOsGYvcaYWLdXwQMOHwLuvgNm+2v4zctDaMpbd1nnYub8DpI73m2OoUV3zZdB5+7v9vuNyQM9jO9WhfjIMTwg1nDcvJu924Z/mF1S3PU5DkAI72eHHcO9X9NQP8ebx1nHdDqlrmO5QeSqhUe2t9QaHPSW2Vzf5NTxExxbX+bixRcII7h5C95482Uy/S9ZWFjg5PGHOH/mPOfOPcKxlQ2OrW2wvr7B+vImCwsLZFmGFBJFQApJliQnhZZp4MqTCcGgyCgouXPlNe5ce4liUjKaGp5/7SUuv/AtXnzkCT7y5Ee58OgFHjp3io+trtDv91EEEIq8k1FNKpTKsbUhFwGhYc86Vk6d4Gd+8Rcxfspv/fqvxnNSge6gg+5LnLZR4MiIiDoyEudlbLyTFNsamdSmPIRjVp6LDWdrakSivvAh8iZpLZFKopNmdKOTIEXWlpAaB6D1jGa79lN6Omo0WDuht9BJCKc4RS18QCuNFB0mKIyVlKXE+rh56zzDCoH1AonEeUNRFOQ5CHJefvUtfvt3fp+f/Mk1Hnns4yx0V5EO8gwSNx8tJEFAECHlZnfXGdln93m6WaIxU0jlscYxiKhXMW/zSnZpYUdOJiHu6mgOnc6HJIM4cgwPiB1coAft4OTzPE59vkzwbq9x95DWvJsdmlw+8PvzGsFNuWFWgojiL5PJhL29IcPhkCm21QsWIkbG3W6XoigQ5OAUK0vLnD/zEJff3uTiOxdZXFymqj3eD9nbGbJz5xpvvP4iq2sbbBw7xZkz53jkkUc5eeIxNjc3WV5cYmWwSCE1eZaRKQ3OE9SsARsZPDXH15Y4e3yZS29OGdc3QGicmXL17YrhcMitm9e5feM6yj/LQ0VOp7tAkBItNdPS4r2MsM0gEW4SBXCyjKkFX2ie+9zn+Oaf/RGXvvUNBoOcziCj1iayjwofr4f1KJ/FTMtHvQXREvA1nXqPVPu1lLvdLkrFaL2h0pZx/AIhXGxGS9HKq8aSUoh8RyqS42lNotMI5EICnrzQaN1JDsK0Og1OWcajkrq29FeOsbF5mmll8ASyLKMG7mzdZjweI4JjMhqzUxkoLUgLu5eR2fOcP/cMaytnWO4u0Sk0bjol091msbZ9IaILZj/o9V3swAvereQZEvghrtX4Mz/XxD/4+vb7FGiz3EYc6J6nc/AF3yMMyZFjeECs5cp/FzvoGJpo7+AwE8wW5zzS5L1mDAftoFi8MWZf2j2tyjk0i8Qaz/b2NleuXOXy5ctc3d0ihNiIzPOcTqfD0tISi4uLLHZWkcriasfK0jKnTp9ge+cW07LE1IEsq8nyPKme1Vy+conrN2/w6uuv8sK3v8XqxmNcOHuOs6dOc+70GU4fP8Gg22O5P4jOIUulGBlx+71uwaCbs7m+zKCXsbMzJogixuXBUI3HXHz1VarhkNVeh4dWlhFE7YJcF1hj6OVdrHQIH3B2Qp51uDPcpQqwsDhg89RJnn7mGa6+8TL9xQ55L8NZi/AuZgx4vFcI71PD3LdynLPoNG6NB3sCq6ur9Ho9hsMhd+7cIQomhciGquKGH+8hOpaIItJKIWW2b900PYe2v4BFaUmW5+R5FvUkqj1OnDnPU09/mh/98S9y9sJjDKcllTHkeYahx2Q0ZOfONtNxup+MMGWFUoql5R7nzj7G6YceY/PYGfq5wNWBQkpEAnnFsDw1zcVsXDK7T4X1fiR589ZmtA37kRswAAAgAElEQVRslXBIi/wgweD8735oO813sSPH8IBYdaCUdLfof94JuAMqWijdPqbpNwDCh9QwC/fkWwrsz1hmaBaZpmRj7dkYgyNQmZq6rqlrw7QsKashVRWPobXE2Io72ze4eOk1Xn/9VV5/+2Umk0kcPhNxgx4MBvT7fU4d/xjHjq1R1WN2dm4zGVkW+ssYcxOyGh0E0jmMd4RQ0usojJ8ymW5x8dLbvHn5VV5/Y5Vja8e5cOYjnD5xjicee5ozJ89z7NgmyzbpFyuB9wZNoNvvsXziFHJpDXWpFwPPekIIJdINCaHLrcsjXv3WCv3BGmfPTegPFrDW0l/osrl2jM3lVUJwqHyRsp5QaIcpLaORR+klHv+BH+LFK69S3n4d6wOq1nSnBTgINiKkjPQIrwnCo0QkG5QCkAqPiIzYPk4vSxGvx/adLcppN8JMnQEdtRN8Yi9FqaTHHcjzLpJIjCeVb4V8ItBWoZRGeRE5pbo6UmkHyIVitLfLoNPlsz/6N/nRH/sCn/jED5F3VzE+w3mBdQGHICtS38jGprPSeSrVpAg7iQaFEHCuZlonHYgsa/UVoqV+Q5jNH9x34z+IfiPt3yJluSlLsD5EuBMC4SUuxGChKSs13zHnGgccD668jAAHLdq+BS0FOQfO/7A1Yw7NyxzhAJXHB+NsjhzDA2LD4XDf43luoebxvCOYR50IIZAZ7c+bSHDekcgD0c+hFPrA+YQWCw/GOMpqxHC4y954RFlOmFYTxpMRe8Mho9GI4WTIdFphbRq2ko6yGnLjxhWuXL3McLjLdDrdh61vzuXl3lusra3R7RWEYJlMRyA8vV6f6VTg6+m+L29VVYhUIw8hIH3N9tY17ty8wbV33ubY+kmuXrvME48/xROPP8UjJ8/Q6y5QZAqtCzLhKfI+G6ubnFg5zs08RrxSSoxx6AyyXFK5CW++9RIuk9y+cxmpMzyBU8dPIR/7KD2V0cnylDXUEXnlA5nSVN5y/vwjPPup5/jWV7e4deMmwgfqyuIrC2gCEokg0+CDaocMo0ZEaOvuDWQTqRBKMplOqerZ0BpERbOm4RzXSSxDhRCQSiOlb38GoKQGIr1GntXYYKmdwpvI6GqC5aMfe4qf+sJP8/2f/QKba6eogmQ4nKIKSZ5luCyipiprkTI1vIPGeouSGhcC3hHpMFJmkuc6zWmkc3uP++J7bd6GINJYS8ALgXeOQAN6EAQ/U62bL8m2/5/6Hn9RO5RUHJWSjuz92MFSUruhzzmEfRlD4tVvHASB2UY5N6jU0iOwn1zt3nDTmfOIfDw1t25tcfnaZW5tXWd7d4vtnS129m6zs3uHvb1ddqYlpk5SlJBEZDxVNWZajvHGpi9ZQCnZDlUJIdgb3WA4volSik43n3v/CHtt//6EzMmlICQBGWstuazRUhCUZjrd5uLbu1y98TY3tt5hOL3FzvYznD19luMbJ+l2+vgg6BcLrA6OcXz9FK8vLLG7MyLXCqXA+Yq6Mjgytrcr6lem3Lr1FlVtcSie+8wPc/r4caYra2ghQTqMqTAhchdBH1c7+p1FTm6e4mUtwcVSUT2tqSegZI3OM3SeEePu2GI21sdriou4JOlBZumqeLyPdf04Ke73Xa8GuQQHSiJBIlHgLd7Hcp63sRnvPXhdkxU5ZV3hheSpJz/Oj37uJ/hrz32es6fP4sQSdeVRusPKoE9lHLaukELQUSBElkj5AsZbVIiaETJEmu0m64znm6bUmyDmPW/07/H1c59Nw+UUgscF4t+PaJv6zX/zj2QLqGj2+PugpD4k1aYjx/CA2N54tO/x3WiS5x2F1joie3xiIrUzxI+Usm3ytr+fNtL5uvK8HaTMiKAYgXeJm8cbdve2+eYL3+CFF7/BznAL5yuMr6hNhSENYYWmp+GR0uNDlNDExL9hXijGJ3J9IQPWOXzQmOGEPC8SgilDCImUkTJbpRTeu7jBCRR5pghlGUvUOkMKhZCaqt7hz57/Q9659gbf9/R1PvHMJ3jSPc2x1Q36vSV6vQWWF1Y4d+oCL6xscu3qLTwe7xyDQZ/d0Zi8I3GhZPv2ZXZ2rmJsANXl5vlzjEc7WFMCfYKzBOewtsJUDu8jmqcsS27cuIEx0ekHF6jrtLUE8NZiQkB2Aj5InBcEJ9GdAq08SlggYJO+s0+yZVIqhFZokacAwDAT2okFe9HUU5j1mkKIxHnORaK8LOuSZzl5BnujMU9+/FN86ct/ix/49I+w1F9H+w5eaGSQdIuc0WhK0csptEZ7qF2Fqx1kEiWaUpcGKdohO6REa4H3EVLrrSPTOmYMzt9XmvP9mgOCEDh86xQ8jXMQSRp1P01I8zkKIdBqTo0vPvOBnu93yo4cwwNiw/Fo1gAModXvPdhcbjb+PM/RWkc4pJQkODje+5abv1nk80NO89nE/ayJODudDr2FPhvHN7hw4QJ3dm8yfGOX6XiI84ZpNSEonTDlOiI5QpghZERAovE+RHK59tySQhx1clQBgqSuq/RcUiOTUTFOtNw+EpW+sNbaRATn4+CZAGMtWZEzLafcvHGRP/7a/8P1G+8wGu7yxKNPc3LzFAuLq/T7A45vnuTEyTO8+OKLZFJjEZRl1Hz2LpZItPAINF4K8kxSTofYesp4ssvy0lKrpRz/Fs94sodAMRnf4dbNK5TjCQLPdFIhfMS2B+dj30FalNJ8/BPPsrR6gm+98BI3Lr+DL0CGGiUBYXAufnYCxYykbr7kQft5ZLlus0kA7YkT2sZE7eYg47GCp8g1dV0ggqCuOkyrAmM6WD9AqQ46vZMxjn6/hweq2qIU9PKCIDwjIyLBX2Kn8gEyKdqSTYhdfVSz/tL/Q8teco81eO/n7xaht9mB9yBUmyl47wgiUo9bz1zmQMpMZ4N1wYd2jTnnQAi00m2PIf47Q3692/k2pbLmnCLl+QxlNuumfGdNfeUrX/lADnxk3137+vNf/0qDMzfGvOstRnyuLSU09Mmh1fHdX8OHZoOfwVnn72e3WXNthpcX6fcALekUOb1Bn6WlAb1+j7KuqOqKqKDjwAuCjTATGUQMYr0HRxqoaiZ49x87IlwFDeGYcw1FQ2qgatVufo1DC3PTviEIPLEZ6lONPzhPJhXOWabVlDvbt6imEzKVkeUd8qJDkGARDCd7vPLyq1TlJKqRmZpu0U2zBan2H4jnJwTLy6ucPXueY+vHyLRGB42xNWU9pTY102mNVJ6LF1/kG8//IdPdG1TjknpqcXVsPEOSG1WCWgU+88N/nZ/58n/M6QuP8+JrrzMZ79HrZwhhybsFUgmsS06whVACSISITKgN7YVSsr0JIciFR+DJNCwtDljodyHEqXMlBUIW1NazvTvkrbevcOv2Hnm2QKe7QlbkCBGRQlI2HYo49e29jVToukA1RRifRIoQiFRKCnKWvRzubd2/NHOv270shIAXkmYuxBPXmCMk2g3i9Lnzaa016zChwpBoEc9QSNBSJVBHyi4iU+M9rfEbYe6+ETESQrCRyf/y3kf4y9lRxvCA2N54tK9xDOzLFuZLRFprlDVkNqPwEWve1XHTPFgimu9JzDfWDr7uYJfsYIO66HTQuUJlGp3nWO+5s73Lndu7GFuT65y68qmcFAVqAj5y+uMj78Mci17rkHxT451ZI2Qfb466SvBcrSCIVmimcY6CLPL9CBWJ3jzUVY0kkGcZZRhTT2u+/v/9MTu39xiNp1QhsHJsk6ybcer0ac6ePcuL37xNJjVSSYJX8dyEQHqFTRrGwUE5mbK3s42pp3hbEVTR9jusrVFaUE13uHbtLcryNs7a+JyJMpug0kSsiZPLRZfdcUmxsMxPfvFL7I5L/rdf/e8Z711mbXmBgN13LUKQaa5kbjJXyoQ4aj6XWNqLDtWitSQvclbXltLPHHu7E6alQ2oTM52q5NsvfYPL167yR3/yVT7xzKf5oU//EOfOnub4xnG07qAS+61C40J0vCIhOUOIMB0f4obomlJWaPOb9trPFui9vxf33/zv/Xz7OhHPyBFwLpUuE81JhA/HCCXYmXpg7GM1syXfmRLSweDsg7Ijx/CA2O7ubttTANpS0vxNSkmWZW0JqdkYtdbITLSOockc5uUetdo/53AYunp44e/T7Q0OJTN6vQVWg+PM2QtUxjCallSvvESot3GY1MSWqDSk1NZlw3ymQBuxEhoRGto6uXeRlyck+GXtXHSGYuYsfcquvPe4kEj1mh6ECBS6oK6m1KbEdWNkLGXGWxdfZ3dvSu0Fjz31NP2lZRYWFvnI409w6Y3XGe7cYWkwiOUhH2m7EZFlVWWK2nuGwyG379xiNBqxtLBEnvcwLrLDWlODF9zZvsmtrStYN5lldc4RvEYLhZAQiD/3xjKpDZWFIHN+6Zd/maVFyd//u/8N4/EWvU6U1ux0OpRlnTau6FRF2vAa+GQIHilVW0oSQlDo2OAuywnjcY61lrqu0+cLQlrwjjzPKKdTtravcvPWLb797Rf44z/512ysbXD+zMOcOnmWJ598mnNnzrK6tsygm6F0RlU7UDLBbGNa4QmtXkI8r/f/HXnfFiTOGZwPs8ybWZYN+4dC5+cevpMb+XfDORyVkh4Q+53f+42vWDelrqf4YLAuNXVNSV1PMdUYZyuCtwRvIpTRE2cWgBCyWFLxEMsLiijiIpEqS/XQOB6rEmeRkBIhJaEp6bD/5kOYafd6gQgCJTXeWqRQgKCTF1FyU5dUZkoQhiBsVP6KBfWoo6A8HtfemucjFbONEpaimXSK54/PCD5O3joRsN5hg5/JUqabdCIqvvlYFrAu4IIgSI1FIkMRm6TC4yjZGW4xmgwpdJ+eXgQZaTv2RrvcunUT703E/guDNyOcjX0TJxxeCGpbs76+yfr6cVaW1ih6nvHY4Gyfcgrejbh25Vu8/vLXmO7sondqQu1RQVLVBiGJTXk8mQCL5+TJM3zimU9wYuMES/0BZ8+cR8iM1968zECXaBmQKhC8xTqT+jkKISRexc85JCnOqNhGmn1QBBkIUhNkzqSsmZSG2qXNPFMgNVpnBOvoSMlCLulpi/J7jHff4dLNy7z61ot865Xn+fqLX+eFN17h7Zu3CL0F1OIKy5mMPQMPGoHwgVwKXO3IlcKLgILo2EV0iEIEkJFrSqafy2beRszdQvxLRaraNFPLIfbhESJeV0SI+hkyZnk+IddUEHgbuaici818Y2PpyAG1rXE+rqlm3Tvv2xhGEBX0pIyBjhICKSS6AViI+cLo4ZsUzflGYSNPXJsOsEFwMv9gSklHjuEBsd/8rX/0laqqqKqaup7d13WMRH3qPTT1dyFkapo1TeSYHRzMMA7+7K4zDCFEbYN9PYeDGsKxORzr/JHJFAkL/QErK2ssLQ3I8y7eycSPFKNXrRVaR/z9wfdsz62p2YoY4dokShPSJLDzsSQVvKBRWgs+ZiFSaHCS4GNvwlqHNQ6XvvyNJKYQIjqhyJvN9p099oYjijzHEaPx4Dy379xhPB7F7EvKqN0csjipLCOpqvewvLTC8Y0TbKxvopWmrgPWCpw3jMY3ef2NP+fim69QlyWigsWlFayFclrOQSJjzcXlsLR6jI9/3/dz8uQZsjyj1+vwxOOPMhzucfXaW/QGSxgXkJlGNjh8HyBpJHjvZiiaEB9HR2kJwUW0ELGpWhvTlpmkVFTOzTQjhMA4iwtRxQ0ZB9icnbC3t8Xtreu89NLzvPXGS7zy8vNU0x0K3WGwvIyQAhviNLHSETRAOmasx880IZBi1ouY+0+K/TeRKmaC5j4dp4WWNut/BjMNRK8RiE8753HBY52ndoHaWOwcQiv4Rv+iEURqynQC3YyQiNg7kSoNjsrZup23g1l+7Iyl/ligvW+c0alCHTmGI3t3+99/89e+YoylrKbJGUSnYK3BmJraGMqqimlw8JGnPy04hEAE/e7DbzI23BACn+5Tjy3W6oNvj/VuN+ciSsgmhIaQCqkyiqJLr7vA8tIqa6ubrK0eY2VllX6/R12X+GAjnFLOdIn3pekhtENG8cvpZ2WHpmmYGEUbxwAJpUTMiDjgxA4L1GhIiCZna4SMG3RZThiPdil6SzjvKasSCNy8eZPamPbzEUEkYrf0aQiJ1hmDwRLHNjbJRAfQWAdlvce162/w5lvfZGf7JlJAIfosLq5QlRXD3WEs9cwB+F0B/YUlPv7Mpzh56iEWBgOUDAz6Hc6cfojB8hKf/P5P8+bFiwyHo1SysmRK0+t2qIyhRSgRmV9D8GmoMQocGeOwJjpOISRKZYDCGEsdHMZZEPH6upBgpCJme9btIYJFS4+SDl9PKKe7vP3mK1x689u88PKbTOqSpdUVlhcXyTOFNZGB2xgfFeXiMo3NWJEQQCKS5EWyvLvfmm23+f32OE1EH3zMmMX+CYQGPGR97Cc4Dy5AbSzGWKz3Cazg2lLfbNZiVm5VKmYIUkm0lOm9Z1nOQccgZUODnvoj4bBjcD7gEgHh6Y4+aj4f2bvb3t5eivBjgznTReol5O0m39IOWIupXYycm2ZyqA85hvkMQcu8hawevG+I7+5lzsXXuBAnaE0dIZxadSlyx+JAkukF+r0llpaWsbbm2rV3oPIRUWMdeJ/KAvHL25SEmm//rAdC84P4s3CQp6mhLUibYXIss6GvRoUsOhnrA3kR4bJKqxi9BsdwZ4tXx3vsjD0XLlyg2y3QWrK6usrWbYerK1yATARSSpXEgQw7t7e4evUyt29v0ZF9uj1JbR2j8TZXrr3B9s4ttJZ09ICiWKbIc4ruKNJYW5fKd2mquQ6U4xHTyR7TyR6mXKLbK6hLw+OPPsHisSUm412uXr3OP/iV/4lC5+iuppqW7G2P8Vk87wgysMQwOyrHRaSSpq4NYNPagGLQDBIKpKzbDdF7T5Y1TKs2zpPEZ8h1hpSKTi+jtg4pHNffucTb10a88PI3+epX/5gvfuGn+fSzz7HQW6AqPb2+ZGrS2kp3SsSIPo1l7LODzWbvU66aqoyuTQXizxtlPJmOJ1KSGDsvzAUWMet0HmwIuJR51rVtHUOzBqWMKD0hFDY1SpQTWBlnSBwRbut572DT/QHMB9djOHIMD4jVdZk2czUXuXRnZaGE1XeTCYGojCWURiiJUJJMmPYL3cBe55vZ1rnYUyDVaRuCPZqyzv3mGmZRvrVNCh0dmVI5WkHwJc7C3t6I8TjSX1hnAI+3etYcjx6N4NK9TOWqZv8Ic2gbEeGX85nA3UphzethP6d+dH5ZQkcpnHUE6yl0IwDjuHntbVw9Zn19HWMMIlhyJZmmY9S2JJNxKtr7gJAeayquXbnMrdvXWe6tg4iaEju7t7hx8zJlOcY5R6co6C8eQ3qH7vTQWmOMicysc+eOtezu3EbLgIoyCnR0gZkYlhaOsTJY5TM/8Dn+xW//LltbVymnI4KHouhilYrgAKVw3qZNzifVvFgfjzoPsSyZZYq6iiyvWmt6eWRUreuaThY5sUQIcaobwHdRCLCS0GhtuEgbHmnNS+7cuszv//7vcO3yRa5fvcKP/9i/x+axTUyAYA15nsfPVkceJ4ibuTigiXxIH6E5hSZ4SGvDpYZwO9mf+m1RxY+Id3BRWkkID1LhiMNs3hHLSsa0iLHGMWit53RFRCQe1Dr2BlKj2icEVpAHiCo53GS/F5bp4Dr+TtqRY3hAbDQazSGOZmWQZpPTeYz4pWiifciyiizLIvWxqNtht3mYKyQkT1PHn1vE0CCO3j1yaREUSXfYhXhvvaOsyhbdEUKkztjeuc3Vq5fZ2rrZakzEUtbsePMb93xpafZ8U2JKqHkdiwr7qRUAIvY88v5AdG4xVpw/ngseWzu6RQ5CIrxLm2ZkLBpP9tiqxpR7d+KcAAEpHEUeuZOsAy88KkCmFEGAMxXb27d5+52LrPTWUZmktBOuXb/IaLyN8walCjLVY3HlGMOdOzQT66Xz6Kb/IzVaWpytGe3tUJUTtIB6WpL3+jhrKbIcU1o+9dSn+PLP/wK//3v/gsloh+tXrzGZTHCujsyqUiK0xhkbsfnEjMGYuh2IDCE2a42tUj+nRjtBp9MhKzqptxIH5UKI18j4LArmuLRuvCfTClWkgUM/Ba3xZo83Xn2BX/nVW9zZvsnP/syXOHHiNEpKrDEoKXHWIfUszlb32RyTXAMyZQJCMps3EKJ1EAgRX5NWgQi0dBsegXcxS3CACx5jLZV1BOOw1rWOIWYKMRt1LuwrMYUgI7RVgAvhPdN5NOvxu4FKOnIMD4jVpprjz9fpSyvbKNm0m6FNTUFFbgzGWoy11NQtDcY8LLW5jyiQKIMZxezT/EAgRV6Hv6DzUTouZSKpbGOdxzmTBvJqynLKtBxS11WMDJMTisIwUS/YkZzEXNTvhcCK5kvZfFmiQ/Ru5tRiKW02obpvSK9h5TzQ+GscSDPD4VxACwVe4l1EqgQJCoOrSybDuIFKlVFozaDbp6oqJlpFckDrW0K4oBTW1ly6dJHFYhmpwQnDzVuXqaqYLUin0KoPOqM28ZopJVM5Lcx99mDqkp07t5lOhtRVSZ51MZVFCcGCgjGShaUV/tNf+s/4+S/+LJPpmN/4jd/g137t13DVDlJCWZb0u0WE7oqASOW1LFMURUbRyRBigclklDbCmFlmMiOXmqIo2kHKTKg0l5EQZgnvH3sEsRSGACE9PSmozJgi61KXu1y5POEf/qP/lYkp+Vt/8xc5s3QmOnsRyLQkpB21ceP3svkBsRbsnHxUO7TWvkDsKyvF94hBh2O2yTsXZpBdU+/LGBoSyJZdWKXSrIrSEpnM2s3dEdlw34sdBnV8MHbkGB4QayitE8EmIRRt9OK9J2urmfGronVFnlUURUGWZRTYtoTUpMMNL5FzDuFmtBjzTdr5xwdtFikFCBYfHM5ZvIeyrrDeU9eGyWSCsROECCwvL3L69CmUthQdibzlkBKmw0SuN5clNDfr3b73bTKDpqEav9YhlgeItBcz5xDw7rCe9Pzf5r2nKAqc9QgJuc4iJNHHRmumQavIThqcwePJOjn9XgedSawQUEIIdYxwlUIXHSYucPXqVVZ6yywuD1C5YDjaSTMYMeIUZJGTJwjyPI+ORzZOO2VPNpIoDke7jMdjynLCoL9EOa3ReZdqz9MpMnxlyJRmbXWV08Vpfvqnvsi//oN/w8tvfLPVeZ5OpxRZjlIZwTmMqbE2UJsSmSatmwwvyzKEjBupM4Y6RH4nKWVUYEtlr9q5tOriKJgQDqSiyDVKZVR7I0LlCKKinBh0f5GtrZv803/6f7K8usR/+OO/wNr6elyfIc6kNH2AQ2OWh5oOs7uQVn9oUEoJfTR/7e8Wxe8HOsTelkmzDHVZtt+b+L3aD+KwNqK0lBU4KfAi+45s6EcDbkf2F7LKRGQFUoNX4CRSR24cj2daV6lxqKOsY1Uh9ZS820HbHEWFKnLQGVhHUD7ODggBSqKNx0mPCBKfZgLmifoa0ppDdBopU/AEnI+89o3DsHWNM4bgbCTJ8zkqdDi28hCZXmBpcJKTJx+jLEuq6TRGoC7SRVdVxe7ubtykyj3KskQrSZAeU5eRjjqL2g5eJQfgI3xSNPw3Dpx3GOVQjWh8s5M4iXcOvKIjJNTN5DdULsFpKWJD08W+TjBRsyDLAqqukGXsbxS5hCCpRSyJ5blCyJqu8IR6ylvvvER34FGFJ4QhwRoK2WFSVSgxpqg9ylqqaY2QCp8QWpJAFmIUWhnP9mibkdnBZyVltUs/61NISSXHsWQWFEJkKNmhqi0Pn3+cL/7kz/F3f/Uyd3auIXWFLDxCBeoKAjkmFHS9pZy6OAMjBJBHZJuRUbGNXab1mI7soQsd1ffKMmagStGXMDU1TgJaE6zAIXBGIGuPDH3y3OO8oNfJMXXNiePr/Of/yS/w5V/4WbRZSeAF2Q5digBCgbf7N8iDmWveFCGDSII+Mn0WsSwkUtnQIeJgXYwY4jr3cX3YedQRrg0WYnZUtY7BegcV5J0OTgXwksz38E4QQoYQGc4KQq6wjjgjoZJDAnSalJYkPQcPQcaz9IldN7IEhzZQ+6DsyDE8INYs1qZ5LEXMIGRqzDYN2ibaNMa00o5aa9CRwhmpEnRfptRaghR4EZvUIU7dIINEhjihLELDvrm//tkgfWIJadbUbr5UdSo7VMYQEh2E9+CR9HuL6CxnNWzgfIQH+mDbiVxjKvb29phMJly7eYnd3RQtT8ezbIZYfhGpMS6IJTHvmCsrSZSKTckG6jrfyL57o3pGpRyPC5HS2ifHpREyVquVUgSRzWYmaIgKQQiVILBTbm1dIevKWGYJAWtcRDB5RVVN28+zRZi5KGrUZDfGOXbvbDPc3cGUFRUVQilknkGWKLV9QMhYlw/G0+v1+NJ/8PO8duVVfue3/wk7e9fp5DmTScWgN2B3Z8JSfxlXj1LpcF7WcnY9FzsF/X4fnUpmKEnlpliXeKmQ9PKCqbeUZRmHIkOchhcBMpERdBrwCAKlNLWteO2NV3n++ed56olVloo+xnuqqkIhkqQrOHHvzbHJAEIadpsX7mlKRneLvWdZAkkdLzmHBFn2qYRkqpraJh6y1D/z6bo4nWEzi7VNWU2gpcC5SMsi0yxRs87ungRECvLvth05hgfEms2whc2ltltDadREPFLqhOyJqKCGWVT08vilU6kBLRq5xoZNNSHG0wBDzD7iYNsMojdzDA0yo3nf2pl2I2k0Guq6xhhDWZY4U1GWZYzCrMO6gKkFXsRoS+cZeZ5TFFniafKsrccylFUGLxXWB6ZVSVAZARP7GD5G1gDeRYUtaO4T7YMGZ2ZDcbGkINpI7mBzu41KG6fh4wYnRfw8nLHURFpopdT/z957x9qaned9v7XWV/Ypt065d+4d3pnhkFPIGQ6rKEWkSUpWQlENjozEJZZiBHGKbUQIIARGCmwEARIgSJzYgWJBfwQRbBU4qrRsNYukmiUREjs5hVM4QzBlDDoAACAASURBVM7Mrefs8pVV88e71re/c+5QVPH8c3HX4ODcM+fsvb+21rve93ne50HVW1vNEhTnhjjOr7l+I3Iq7bN7YoExhjE6OV4Lfd/nko5kS9pAzH6WSsuutjLQbVZsVmt5//2sCWXkHqgIXieMFsqlUjBuOvYXO/zdv/Nf87WvfY2PfeyXcENgoRtUiJzd3ycER9J6RhoQOqpkSnLNNqEC5VFKGGSoQLtYoLSUlnaqlqppMAQaU2GDP/KsxKwYq5PsmHcXCw5Wh/x/P/czPPnM03zzN32Oj3znd/LQgw9xYmcHH71Ip/som5k/bl5kJEJNsb5ouBbUIXcYJzJ9VOELIB2y+GFM4kURHNEFgvN45/DjgDSVylckoStDZS02y8445/CVkefaSFYQjJImQ70NBoJ1fb2T2EazGMj9OtzOGG6PbzyO1/2jKkFCdpg++IwZbGulWleM4yjiemagGhuUqaXZx1SoYCB4VDAkbTAxZEaOIaXM4kjFkORoGamAzCE3ALn8+eU4RmexzuaMweKHgWEYsMHjvDRSWV/q/LLn1wbSGIhpxNqBg4PrrNaHfO3yq9y4dpX1eo2LwlqR4oCRBSC91rXKC6vKC6gqejdbE/f5mAeHiYESt3iHBFNNSpXo6fgiNRLRaSusRoAUAx5LVWuatqVZaFlUlUXTUBkB+FPQBAuj6aeAKnIQcuyF9aOUlFD69YaDG9fYrJacOXkXY3AoM9IYoUbq3GAVQqDJncUhBO664zz/zQ//PWy34Xd+89cwrcEOjjMn90gp0TvBcaT7+6g/uJTnasYhAoGmFeaSzzagKSXGXggFaI0xiVoJS6swglwUXn/KaNCqW1E3LUrBZz77Rzz1zIv80af/DX/jr/8Ab3v0bVy8+14qUxM8fKPddMnm5M7m4KPi1PWsbr7VkmWUZzkCMQg1OkRSDBIkvJPswY04P2LdQEoJEytcpamsxlWa0LYzNeMtlVwoq9sWvMKMunliz9ERuXdhymBug8+3x59gHG1+KQtIfigzoFmYIkZL0Ji8F1QndNVc7jCmgGjF4GeR3cV0LoGkTF8slNYtbVR2xT4zeXJDXWYgWWslMIzjxGCx1jLakdFZhnFkHB1DTtVV9l+omppNlxhtz3p9wOHyBqvVAV2/5mB1jWHs5O9jIkafRe9En6muJPOJJqKzcdB2oY94PwPSOQpGxnQUmJZSUyk3FW2hzHlP0oRXqUq0l3wkJSOyGHELGJPEylMrg24bYgroBHWl8W4kOUUMjhAUw9ix0y5k8bEDMXphJAFy66T23NYVzg48/YUvcf7cRUYLe7unOX3qDk7utywWDSkk2rqiqWucHYhK05gKHRJPPPw2fuhv/xA7xnDj+hU+9IH389GP/gLr9Zq2VcRRFj7n3GTo5L3P/QUR6x1VpUnKoxS4MKJUdotTiWC9yEEkxaI22OjRCrregmkI0Yp3Ra2ITnoXygJ4Y3yFT32657lnn+ZD7/sQ/+H3/zXe9pa3U5v2piavm7j9KlO30eK3gS4qIAUKF0wBhUHhvASBGBLRB6IXgcDkLN6NBOvx1hG9J4wDIXiGzUZsZxVZ1jxQ5Fycc4SmnjLo6bmKW2n4eb/QNnOQ4woxH3MqmIJ08IcgJdHXa9wODLfION57cHxsMQj5OQZQapypqTYorcWQhIQyRurK6CxhoSd5C5Xr/AnRbJl/bvkc4bGnbekojlMQCCHQ9/1UThqGgTAO9IOk5t044L3UbkvZyB0OdN2GGwfXODi4yjBu6IcVKUVcnmSV0YQYUEn8JYwqxykBrbB9lJZadqEvzhvftMncerXtsH6ta5lKhABC9NM1KKU5shBdjBoynx2k69tUEiDquqZuKjpnkRKHYA7eCd7iRs/hDUOqWilX2B4VglBJxdIgvw/ZXMfwleef5ed+bsXFS5/lwsUHeeCNb+LBN17i3gvn2V3sgF5kpVZPW9X4FKkD2PXAt33rB3nTpfv56isv8dDDb2IMiR/7sR9DG0ezaOm6jr29va1c+dQAWOFjxNlAbyN1bRALVkNSmtoEyVgAHQO1MhhlGKPlxE7FSIVKiRgSKYQscxEwdU1bNxyMHX5c0pw5zSOPvJk3PngfptYiNxKOllNuul+5HBgIkFTOJKWfQM0DRIpMvgsx+yvESPSiLxacJ44O7zzBWdw4YIeRbrOh22zYdKKCW7XNRG9eZPruluY662lQetpo/PHzujqSwcrxlZLS7VLS7fENxjxTkAepLNR5ouj5jjehlZ5q/TLBu7wTrLNng3w3Wmr6VdXgfUTrlG0XNarsxpSUTMpCIQHhKNhsQy4bjSPe+ykwjOMoNfRhpO83dGPHMHaMbkBsFIPsltcrDg6u0w8bvB8Z3YrgR0ylaKq9PMFCpsV6CIGgFCZV6MXU1UQyEdR2EdBKgPSCh4AE2UKAV+lm9scEtMdi35i7yn0ghDQFW4CkIobyHhFVAUqz2Kk4ub9HjJ5xtJxsT6BSWYwC0TmsG8Br9HpNiiI7oScAOss5ZLwg+YBuEpvVmmsHG55+9kX04pPcc+ESjz32CO94+9t4+ME38cC9b+DMiZPUjSjm9t5ywmgqZYg2cOH8Re4+fwEbLX/rv/ivsEHxL37xJ3jpa1/l9OnT9MOQS0ozWrCKs+ZBBVTUlXTR21ERdhKGRKM0jTLcceIU3bCm9jmDzWY2ptLoJCZJKikaY1gvD9FNoqpaYrB86cnP8dF/ueDhhx7j7U98E9U3pG1mzC3rVUlwyEFdIRuEmET0L+tjpCyMFKPgRClIoPbBijGP8wQrjKRx7On7DX23wcdAG1rJlNpKXpM3SGWOFq+LNHmGzDL91zh6mU+SIQRfntvXv5R0W0TvFhn/6Ef/4d+Xf80advLP0sizVYMsKSnMa8U6G/nUmYtd/J+z65TadjzPvRjmGcJcH6eUjcqOyfotUGetpe97hmHYfu86NpuOTb9m0y3p+o6YLIPtWC4P6JY3GIYN3veMdo3WAW1CZhQ1pOQwWlFpncXV8mKjFAEvLJropXN2Ov6UG/earJApSpliH1mAST1N7DKma5LBa6PE/2J3d5cTJ07Sti1V1UzXPsQSIANFAG5vb4fTp0/R9x2rbuT0mVO0i5ZEIAapyw+bkVo3RFVRGY0dOpIfRTQwhhLrWOy27O3vo4wWobcYcVFxsFxz42DJCy8+z4svfYUb166TClaQIkQBh2tv8daBkte7EEgKFrt7vP3t7+AtjzzAiy+9yDPPPMfpM6fp+x5y2QTI10zYRMYYxsFlbSVN0yzo4gqVIjWKWgvys2gbdnd3GMcei9Teg/UE53Cj4+I957lwzwWWyyX9MBK8o1t3PPPl5/j93/skzz77FQ4Ol7zz8bcfuTfHM+bCSJN/FcA5Y0mIDhJIJ3JMYG0mP/jAaKUBNHifNzAD1juG0dH1Hf2mY92t2Gw2dF2HzY2ZSmuauqFdLKibBYtWusYrrWhquZdGK1EO1rNsn22WKhpfGfeOouzqQ8D5gHWymbDO88id+//gT7pG/GnG7YzhFhmyeGe5spBQRgBWCQKa5DUq1ei8ow8+kHSSmrzz1DsCMtZjTTVWokVf1yhTZ/55i6pBRbBeTHBCSJNdocsuYSmFHCAsztttWamX3eE4DIzeSgDo1/T9hs3QMy57xn6D8wN26PFhwMVACA7XbxjdEp+1aSpVEb2GVGVqoM26+T7XpSVT0toQlcGEamIaaZJo9uSUXClZrHRUQg8lZY2cBEmAPmhm1xhiLAtAib+W02fOc+GND7N/5hwuGqx3pBA5vHaN61eucnB4lX5zgFUDptGYvZred1xf3WBMCzwJZSw4jw4G3wkI6uINwUWsQceBkBIGw+gBI7Le3geiDywWNaMfUM6jo2I3aVLfsRoNX7r2KgcvvMhzn/4M73rXe7hw772cueMOfIyYtmZ/f4/dvQVnT5/izN4epxcLdoaac9WCj3zwr3DprrfwI//k/+Ljn/h1tOswKRHswGLR4JsNe3t7XLm6YWexxzBG6rolmYRXngUnMDEw2JF2r8JnsL+qFfXZPXa6jr5z6KphHANJa66vVlg8akexq/ZyZmoYxyWHN66yPHyV5778KfZr+PCHP8Idp8/iXYRYoVWNKnX4aquLVIJDnH6GmEQJQFSHhcUUk5AknLMMXjrCR+ckAxgGwtCRhhVpPCTFJWP/Kn6zIowjbmeH3focgV3GFAhxwBd8zVcMPmHqJBMJhwkNCUWFFnA+U2gJ8gyPUQKsh+zHUImcfDAkz+s2bgeGW2QUkLiUkKT6IcBVSsLQmctJz7uSjTFShdcVnZGuV6UMTTtg6gZl9ARaK6XQXkstWGuCEbXRrSxFZiG5cTshrCUMUrba9GsGNzLYDZv1ktVmTdevGZc9w9Dhg8ONA952hMz+GMeRgJswEjnmStg7gItj3pnLeYcQRBZaGyISMGOK8pWZRDGkfI0y1KcUStWQ681Mu8uSXZHPLy8wM9DT1Sdg5wx7Z+7h7PlLqKrFmJraVPSbFd21DQeHV7l+7atcvfISWluUh8N1R38YCDueFAK1qcBHulJec06osSoH2+RFh0jJ/ZZeEz3Vrn0IWD/iUyIWmQ80ba1IIfDq5a9ycO1Vnn32Ge48d54zZ8+yXq+J2nDqzGnuvOssFy6c5+47zvLAvZe4ePddnNzbZ/fkGe6+9wL/6Ed+hF/71X/FP/w//ld+87d+hzvP7OJHxwe/7X28/Z3v4cd//Ke5fOU6e7sLlNF0Y8eNax0nzyzQRkQCNyPYw5Fmp8EeDJy/cA+kgRihqWusjZjKsFovOVxeR2swRsqZMUaaJtNAbeLFl57n//zH/wuXr77AX/re7+f8uYvUesEwDlSqQanih5Em4b1QQN/8s8+qqTFG0UKKW4JG9B43erwd8zM5Tv+2Q8/YdwybNW7TYzcb3DiIrtMw4voOP/S4xW6eCy0h1NOGREpURhhSShF17uPQGl3UC3IZKeXmTBckk3Eh4IPFhdcPfb5dSrpFxj/5f37k72tV5LK3PQhzMO24ZvycxUQuF1WmQmmDyoqaVd2gjcFUNdrorDVTKJ1b60KfuekieRHx3k0llHEccdYyjD1dt6EfOjabJavNkvV6xWa9zhhDz9j39H3H0Pe4ccRl/fuUFJVpspx4i9HiBxC8iNwpJThI0yxo2x2qqqaUDVL2L5Y6bcJZ8Rco3yczHnLDUVJFJVu+YnWECRID8rlesjLPAusVo08cLjuuXLnOweGKzXpgtIGaBcbU7OzssL+7iwoR2/WsbqxIQXaI+/sLTp3cQyfFetlz/eqK4KPIUCwMlVYk7zHKyIIVIlrVxKhQlcdUGmpFQLrMlTaZXRNwyolNZhCKpbU9wUuZbrVecvXVK7xy+RWefe5Znnn+Wb709NM88+wzvHz1KtdWS1b9iI+B1WbJ/fc/wPvf/z4Orl3mk5/8HNEHPvxt387f++H/ljdcfAMvv/IqX/nKV1A6krSn3RFl3pQCWiWsj3RDROlEu9jhpRevCZhOTQiJnZ3dDARLgDamsInEDGlndxdnPYlAVRk2m6t86tN/QNctecOli9x5xx2orB0VoiNltWFS8SERH4MUxcDJR5FpCblUE0LAWY+1TrxNnMfZEWtHhqHHZ12v9XrFerWkXx+yPriB7zck66iMoaor6mZBs7ND0zQsFi1tvRDpmarKJkS5Fyjrs+jcUFrKR/I9SWNnFHkU68LkBzFkI663XTxzu5R0e3z9YbJwXgFVS1AQ57I0AVbzYFCYOEoplPNTbwO6wlQNgx2pnUXXFdUoapqh3vpEe5VxCa1xKYuHJQkQY6byWWulCc05+r5nvVkyjGtWq0PW6xVdv5bf94WxlKmATkDkShsqXWGaWhQ8swIsSOPXyCiy3VXFYqehbVusHSb8QlQxU25uE/qsdYK1FAphCQAq934UKuvEvmHLVpmuXQgQE6EykHq6fs0LqyWLdpdmsQBdSdbVLKjrPSqj2GlBpQFr14Qwogio5IleMfYjfnRiIIPGuwAp4n3E2g7T7BB1AJemfqepC12DRfpRdGWoYmK17CBq2npBUGLnaohUpqauNYrAOHa0bQttQ9DQB8foHQevvswLX3uJTz/1JHecOcu5s3fzjice555zd/PmB+7nzMk9/pP/9D/nkYcf5Ud/9Ec5tX8Xbkx870f+fS5cfID//R//b3z8dz4uBIAM/oYQ2d3box821JXmgTe+mW/91m/l4x/7GM8+9wJtWwORcRAxR91oUqoZx14a+lJgb+8EbbPL0AvduWkadKWI0fLzv/DPMcbw1//KD3LhnvsxNALO5gyzZAiumDqVjCGIL4mPgjO4kBitY3SesR+wwWHHEWdHnO1w1mLHDXbcMA5rwnpF7NYiMRMDcehwww7jsMYPHXbcxVmLcyPRNVgrKrEVBk9CZ+JCjJFqslbNczhGxgxOO+cYrMVZ6QEarWVw9nVbT24HhltkbDGGbTOMwiB5qUgnzxe30nQDWX8l9ydUVYOpW+pmYDP0mFbKAsa0kO01jTHgIRkD3hOMwVPYF4IpiN90Zh0NPePQMQwdXb9is1mx2azpNyv6bs04DHgbRIjNWmHlRC8lAJ0yBZSpj2J3t83SGDWLhadatOzstuzs7KC1ouvWLFcHUqMde2KIhGDzsdcsFhXOSSYTfJoA8iNiakfot6UrulCAcjOSBkJA+V5uQmexmxv0Sa6+NhXKVISmxWhF3UBbBVK0aCJRObGydArXWYLz6LrGDRbnAsYorIu4bkQpg1EKl5xQKZHF0nsPDSxqg641uq0JPrEfFa4PEDxBORol1NgKTWUU1g4sKkVKDYu2ZsjUYOscSmvauiVEePXqNa5dvsYzz36ZO06d5ML5c7zhnvM8/NCbeeDNb+Ef/E//Mw9euMhyaTlcOx56+HH+h//+f+RXf/2X+cV/+XN86UtfoPODALlNYHfnJEO3plv3vPfd7+Wb3v5OfvKf/zKf/OTvs+mWnDixx42DK5w+fZoQA8FrtIk8cP9DkGqefuo5jKkYh0TfbSY/Z50Gfv/3Psljj76T06fuptEBpWoUYjNa7mVKcfJFSDmL8CEQUDgfGZ0X604XcN5iRwkGbhxxYycYWb9m6FaM/ZqxXxPtQBh7qkpDdATbEdxAiCMpBenJcCPeLUhNJPmA19koKglFPMv0YpTQZ5XEhQw+J1zI2ky5L2hwQuZ4vcbtwHDLDD2VjyBJUMj6K2qmJzOXziiKkEopTDbNUaYX3aS6peqFVYHRKOrp9QWXqLSk6cJXj1NgcJlqKd7TI13X0fVL+s2aTbei32zo1ks2m1UOGAMpUxfFCyCgs26m0tJkFtUWaZurVxpjqNs9qnqBrmTXia5FTNBoAoqoIy45pNehoW4kyKWsGRXGURhD5VrkLuVCxZVyvqJoeW4zBwCFDmmykdQJFgopr2VchK4naAgWbAas61rerUgv9+sNBKgaPZkkCZYRSB6GwdKoSurOSpG0ZHhU0uhmao1qNLo1mEbq1NpDCJ7aNFRojNJSMMvc+K4bMj05SzYERzQGTIWqFE0lATiMA+v1moMb1/jqV7/Kl/Z2+d0/+CTnz93FG9/4Rm7cOOTquueeey5y9uxZzp65h7/2V/8mH/rgX+Sf/rP/l3/9K/+a5154lrEbUVHR1g1XX3mV5598kh/8gb/BWx//MH/4h3/Az//iT/P5z3+aTd3z6is30Fqzt7fHerXizQ8+xg/+wN/i2S+/yJe//GUuX34FbQJnTp6ibVvO3XmOixffwBsu3EdldqQhLCRCGKZ7FkgTxlCCg5SSRAPKhsgwegYr3fd2HPCjlDTtMDCu15IxbDbTlx82RDsSw0jA4FUiuhYzbhhth7djngs72MoSaofTSpR5vSK0gi2FKkx9N8VjIoXImDExO3qsE2xhyDTZwd4ODLfHNxhbXSNk98HNMhnHex3mv9Na5JT9aHH1SNf2VMMOpu2hMphUT/TEkvYaYyDTO70KxzKGIddlB7q+Y+jWLFdL+m7N0K8ZujVDv8ne1CPRpUmJVerBUOmtn0RSKTOhxAehaRq8FymKVO+RkhV2TnIMQy+WixmbG8ce57aTKBGkxIbYWNaNmoBtrVPWD8ytUkrASWP07Boevb6uMqQUqZIY+IgZjM7BuaKNIyDnQN4cplQxJk1UijpFjI5U2mBUxaLZYX9fAFDnO1SliEmA5oRkUyEAJlFpaBaaqjGoSoFOxBDEtc4odKVpmhrlRV6cEAnJEZIipMhm3bP2G1wMeGOgaSAkrE8kIxLXmkRT1RilCTFyY71m2fdcPTzkjz7/Rd5w7hxvfcvj3HfvAzz0pjdz/6VLnDm9z+kTd/HDP/Tf8eH3fZif/ejP8Nu/91s8+/zTrG1kr4arr77K5uCA3d37+eb3foC3vvWtvPjSl3nq6S/yqU/9IV/4wpdYLpfs7++yt3uW+y89yoP3v4MPvN9iXYfSnjia6XmMMbKzWLBZjxCiUIajYC4C3hdRv21wt97hYyAmhQ2RrhsYnWA4w+iwrpeufDswjB19L2XD0fZYN4i6aszeHCpmNpTDJccYRN8qOEfIPQ3WWvHUrgx1MiTliVXBnTXaSeaqMn065PMac/Ztg3wfrGByr9e4HRhukVEA520zzTw72DJo5tjCfCQfCFHhtENbixoG6r6naheYqqJKImJHLkMt6ibXQSUwuFkpyTnHMEpg6Puevu9ZrlesVgf0WQHVDT1D32HtiLdWAN/SzZlEbgIti6tKgImoiPjvIj0JRUrA0WHMSIgCEFrXYe1AiNJH4cNACNJ17L0lhLlAYMqNelAqRSr3Gsh1TaBFuE5PomfqyLV07CAH74FAiAlUJZkLhoXPu1QttW0XEzFVRAy6agmbG9T7CxRMfSDSU1KBqmVxCMKzDyE35WkwtaJuG5pGoUunemZs1a2iTYZUg0sBj8uAuZcdMoJHDMNAdB6MEY/j0ZJMRYwOh6JSBqVzAxvgnHRB101L1BpVJ77yyte4sdzwuRNP8dnPfIHHHnmUxx97lLvvuoP9nQWX7r2Pv/Of/V2+9/u+h9/63Y/x2c98kuee/CL9ekW/WqJUYL3ZYL1lb+8Eb33r4zz44Jv5/u+HtlkQ6Wnrk1gb8HaQDUlqhHKdmT5D7qi3Qw9IoBiHHmOyJ3POkgOC0ZTAMFifdb2klDQ4PwUG2aUP2HFkzMSIwxs32Gw2bFYrhq7LvTrCwFNJg1HE6DCZ2eRyd7+1ltYMDKrKGlo1iijy4yEQqkClMxhNFvWLEZsZU6MrWmJ2Cgp9v3mdVpPbgeHWGbrKkhWJmHv9Q4hElcBkHwQlDJjJYaqgrjGJ8qbRUEVCHImuJgwdflMTFIyppjMG77b+u6KVlC1Etcq7+Yi3HeMgu/Sx37Ber7HdIb7bYLsNtuvFUtL5rFNkULmOL97peUfupZQkMs1SOxeWUSBFsY5QSmHDVeF9E+htR99vMobic2cumIpJMXYuAGcqRQjZYSv/P5dZK0opTCVigiGmSf5j0rXJ/y3UOteRJFOQjEAczozS2KYwtkQbx+ia4AaMrtAx4JrEiGK5qbjr7B0Ef4AbegzSX1HFkbatSGlE1ZFQJ5oFmNrQNIbQSuahnBgymVqjdgyuEqrvzgqGYAmVEg8CrVAJQhCOvG6DsGSiJbhE6MUTQM5TE2rF6L1YwPYjtjOEcVfKUE2DHzzX+mvcuH7IK9cu86WXnuHjn/0Dzl+4hwsXLnDpwnku3HOOvcUe7/3Ad/G+D30nL7/4FZYHB3zm2eu8fPX/5saNA+wYOX36Du45fx/n7r7A7u4+J/ZPobLrWb+RbKnIjoRgJqoyKaCMwgUrvhHluQxbbC1G8aWeEwviJJcuGyjrI9aKq6H3kd7K4t93K9arA9ywxPZL/LAmuQ43HBL9CEmYc7iEcSPtaKlWa/zOdbzVBKuwRlHrhFUeFWp0qiHWBK0JxuPNzc+nzBH5GoYNo7N040C32dAPw+u2nNwODLfIKDzv8jXvTgZplkopN7TNqaZZgzmGACpgnMOh0Vmuom7EryHQkYA2W4EWr+hSihLrQ0cKWSpg6PFW8IOuWzOuN1OH6ND1+NwVHb2UoLTKkxcmpVYIk++D96XjWkTqApGgPDpqSAalUwakxelMWFg1IbqptFYou0U2W1HAdKYJOe/vmK5lllvLV5Iiz1OysyP6PFOJrvRHSHBLKXdUI2WpGA0iyBSpaoMbR65fv0ZttNAio5eGphhpG0Uy2XY1RipAGS0OapUhEthalqqcIQoJwZiaZBy6rrKGRsJHwSeqquHBB9/MvZcu8pnPfIYXX3xRMAW/FXYLIYDX7O/vc/L0Kfpu4Oq16/SrJXsnThBGsSuta5FGD9FycPUK165c5rkvP8Xp06c5tbfLHWdOc/7cXdxx5jSahMbz5WefYb1ccbi6zv7+SR5840OcO38fO7t7LHb2CBGW6xU6Yx0lI3Y2TIrBJcMKwYukSBA2W8o3yYdhwtSOl1BTSoKr5MAgvQJZziWSsbKOvutYrQ9YHV5n063pN7L5sEM/vbdQbEHjpHvbDoxDT1qvaJpdFA3BG2IwjE7mT+vb7MinJ7zsuOYY5OPwjr4fhMCRMZ/bGcPt8ScaZXE7HhRgGxRK/8GkA1MmShLjF5fVQsUMZwc79vJvVUutW0mjVR1r6rgNDDFGiF7qq1aUQO2wkfR3FNmLcRzF2MTaiXIxp3+WjtQ4B8vLf6mco5R0xH9Y/n5wsnMqO8mi22QqRfKa4JlKas6Jlr/KPR9aa0y1La2V6zdXilVZfmKrC7U9npS2ASIfMKWJqRwvqUhzSwYy9Y5kD7EUReH18uXLrJfLbblPa2nkaw2mke5rad4zmFrUb33abgSksXDrl63zgh3qhI6B4MQwyfuQg6X4aT/4xke48457+JVf+Ve89MILEBPRgKqE8qxComKPv/jBD3DvxUv85u/8Nh/7zHgi2QAAIABJREFU2MfZvPIqzalTaBSxaaj0Pid2FyStsNbixw3XX16xVjWvGMOTtSbGQN1WwjpTkQsXLvDoI2/jrW99Kxcv3seJ/VPUtSj57uzsyeYhe4uU+9E0zUSe8FH8EZyzRO+FBRSzB3NMJJ0X/plUy5H+nfy+IRYwOktbp4h1lnEUSvV6c8imO2CzXkuZ0o843+N9kD6N6EsbAsbbXCpdoe1uVhEO2MpTewdKzLCU2QZhkZ+R+wVMAcexdYrrug6XtZm61Yp+6P5c68UfN24HhltkbEFkWdQKFbUMVXaw5F7fvCiX/y/y0p4UDSForLVUQy9CesaIXICKuGBld1hVR0pJOgr9NcWAtdK5PPQbAcqGXkDtHBSCc9IDEETKAYRHRTZ8B2ECAWIxqkFXlTTYqYSuE9aPxJjT7LTt4J4HBVmkRQe/iI+lqEg+kVQgGRFVU1rKACWgyqIqDX8xKqIrzm5bRhTMGwRngTiL7mldWE2a2jRT+cJFNx2nvIeiqoviKvS2l8/QCVPLglE1LbqqBCQNkZDE0jMFcTSrqyzklzzOBlQG1yf21qKmJhGiJeJwzrOzs2C93PDUk1+kac7ykY98mL/9Xz7Ms889w8///M9y+aWvsXdqj/XBihTh4YfexHf9e9/JydOneNvjj/POJ97BL/3SL/GlT30OvdugUuDG0GH3djl58iSNTpw6sSeBaYwM4yiaQ85y/eAaGDh9+jTN7h4nz5wlUjFYTxsC6EQII+tukOwvq9aW+7PpuykDcM5RKMUahRsHKWnmHhXnu20Q8Vtm2xTMJ62knCUqMujv2Ww2rDbi87E8OGC1PGC0PTGr33rXE6lFtDGJ2IZJWhhKfiTanvVqSVsvIBmCV9Lh3YzUdc3gBnbM7pGMoe/7GTYYGBFpemcHwWS6DWPfsVwdMHa3wefb4xuMEhTKYjXXf98ay8RpMQ5BPAB83rlrHUllUQsBVUeiz/LCWqTIRoPUUmODd3p6oJVSqOLtHD3edjgr4LMdBW/w45gDQpyCQkn3ZcdWttgQCdRVjTFKqLJKieFPCmilZccLub9AOlkla5ESQ0yeYIXFVBZnWYgFU0ik3NksIHZ0MZeTmN7HGI0xOUBofQQUnqutynU303lsF+QiZ54YhnH6fYxSCkEhAHIldNViOVkWwAQkrUlGuraHMTvgpZhBaUPMzVlTPT2XR8oC6r2nbVu0AtPWaO9pmoqx92w2A1rDcrnm85//PADf8z3fxUe+87v5lm/5Fn7jN36dz372MzzzzDPEceDRhx7lTW96iJQSd95xjrN33M1DDz3CRz/6UT7+8Y+zunKN9tQem/Wa4C2nTp0g5jLXTrPPYtEyOsu+2scYxWqz5saNQz796c/ywlPPcfr0WS5evMhjjz3OGx94E3t7J6jrmk03UtULyRxmJdISnMcSGHymBqeAG4atqq9fTRlDWWznGyiyd3LMpk0ubo2klqtD1pslq9WKbr3G+VFIGsFhx170wFzOckNA6YAKieA047Ckbgztzh7DekmVDFUy1KZCpQiqhrHG1Nu5K1m6m+6nc44hekbb44eBbr1iWB8ybjasDm8w3C4l3R7faMzpqFPtu3Q1z9hK80whBlmkBaBNqODFDB2IsZEdVu54VilhUiQ5K2WDvICVCSalKaHtOTvgnMWOvfCth57QS7bgbW4mS9tWPFEfqsSh3QA60TQV1IoYPTaIOirThi+XAHJtXef0ogQFYAoKssv32esYTNLUtZYmsbS9NsdrvHINMt7gczyLwko6LnesZj0WRYqbom/jPDHkdIMsLa0FWyg9E3WmCkcFdV2JNlXOKKKKeFeUcUX1VGlhcBFVLonN5DumLm4p21jraBYVTb2gIOQ7PtJvLEk25xxcfoXf36w4cWKP/f19nnjiCR595HGefPKL/ORP/iR/+Ml/w7ve8820iz0pAyrD3m7iHe96LxfuvZ/zFy7xUz/1EwzdmhCkPHXt6lVuaM2JE3u0VZedAUXmYexGok/4GPDjmu5wxQsvfoWnv/wUT3/5GR588EHe9vgTPPTQQ7RtS3Bmep4rpWRH73LpMweMED3Ji/SGs4NcT+fp3WYK6vO5Ur5qsn5R1sganMXagU2/5uDggPXqUGRc+h47iOdCDA7vRR7de0UInhRszr4jeEUaFWO/hrqhSpEhQoUiRU+72MUMhrptGKq9I/OoPHfl3IYwYvuBvlvSHRyyObyO7zf0qwPceLvz+fb4E445sDYHoxUcDQqzv0kpoVKUDswgnG7jHCE/sN5XVNoQlBVjFB9EPG+WMYTkp4zBZS2ecezxdsDbgXGQoFCwDTKWEXMg00phqszFrxIuenABF6WOrLLFYUrSC7Clk27LaKmYsaQwAdFHJcKBzLaJ2ewEQOl6Flgz7jJpS4EOxVdY5eM9SvWNbLum52KFkrVBZRpQMQcfwRoSYrijtZ6kEEIOeDFmwb+8czReE/KOV1WGFBLJC6usxky+3nMNLGPMlDWGFNEEdG1YLBrc4AiVSDiHCGanxY09v/EbvyF0WF3x0Jsf5om3vZvTp+7i2e/4Dh5+5DFGG4EKU7XsnlwQY+Lucxf4q//RD3Lm7J389E/9BF95/hk2m57FoqFWiYODJUp3W+DYyVmWeroxht53VJVhHHuefvqLvPDCczz//LO8+93v5i1veQsXLjwylY6A6dxijAx2zIt1tj710jNQGEjjLDDMF+AJRwoilBgRnS/rR/phQ9ev6YdNdhr0JC/yJLKxcQQf5OckuAYpoQkT2ysBbqzQ3QpLwkTolRIZ8OiofEP0BlvbCV+Yz9eUklBhgxf9sNWSzcE1uoMbhGFF6HpicP/W1o3j43ZguIXGPGOYP2QxRkzcZhLAFCQAYXMk4d2kGFFI7ToqhdIVlbdbDzTviLNsYeolyM1nKXqsHQk+87tzk1sMW5aFyrs+8gQgJtAKQvFCyPowwZNUQmtQaeYJoSIxhlz6AWVkYdempOXSAT2d79SVnbMkcmDIrl0qqSPnsi09QAiQwlZTqgSX+ajrLTZRMAaXG5XqusbQSFCoJGhBltQo/s2JCXfwMYieT35vlWVISiqgU8aLovystJoB4lt7VTFXqnKAkgXEIKB1XRtYLNAM2DHgxk58mw8P+cQnPsHlV6/wl//yf8A3f/O/w513nudNb36AzWaDrpp8XwLeScNY2+6wqwzf9T3fy6OPPsw/+6c/zid//3c4uHIVdluqWuNz/V8aJINo1oaAT9K5rUzCOsETamPo+w1f+MLnuHbtCleuvMoTTwhI3bbt5FFestTjgSE6K0y0mKQhzI+T5Ikx28yjvEcV07Sx8d7hk5/6DiQbKdliJPiMaYSYvcxzSUup6X55L3iDDwlMn7Nt2TBoXeG9pxo21E2DaWpStTMFhpLVlIBurRXTqn5g3CzZHFwXbaaxJ44d2fT6dRm3A8MtMspDNd9xlF2r/EGUBSUUa0EB3EISnn/0QofUSaMiVAoqFzBqJHqPb2sIUkKKx/AFgJC2gDIhCKZgHc46tJedmUqG6BwpdwgHv62n+roi1WCMpONJ+bz8igS2QU9igCI0tn10izClQo5LFnKDziB8uR6Qg5ItEuEZkyGRVASjqOuK6BMqaPDSVIf2FB9QxTZbAcEJSMXUSMoKqIg2AW2griNt209e2jFKs5oU0SpIespOnCs2pRIQqqoiBYVXnmiEyquUZFN+lCC7WCxItSa6KAqlY4BKmteMDvS2J/me6BXKtNS6YbFTQwqYqiWqHhUSMVhUq3DddT732d8jhA39cMC3f/t3sOo1dbvDMAyy0zcGlMeQUK5HRRFSvPfeS/zg3/yPueOu0/ziR3+BbnlA0yzQPhCSJyUxKDo87EgRXISdnT3UaKmNRrkAlWFnt8WTuLK8xm9/8ne5fPWQd73rPTz80KOIOKQieOlUt7lsFGLuWSFO/0+4/wcz7MVQmWbCgAD6uJ7mTQiSDRQBxnEc8XaNG6X7ORRQOYreUQyB4h8t5DPJFnWUbDV1Iw6HigNVHMCvqEyLqRY0zYKqaUlts81ejm3o+r4nZD/pYewYuiVuHInJ5rLt6ye7fTsw3CJjTr07jjGUfx//+/lrjr9PYXCU3WdpBDKzEtL8gU5ZVTXlhdgOYuFZykeySw+SegfxPzZ1hXQZK9H5qbWwc3SR9XaEULqStwHv+Lkc79uYH/u8vDK/LvNzLlnC8Ykpv5O/qYyeShjzz58C20x3as4Qq6oKrQogrGfqrdvXxyyVMFpZPE2z9e82WhN9JIbj93hLodVao4wi6EDAkZBeDaNEqM05+QzVVNQLqCpNVRl89NS1omo1tgD6SRGc45lnnuFnf+Zn6DYb3veBf5f777+EUlqc2RqFiiWoCtbTNA3Wjpw7d47v/u7vZXd3l3/xSx/l8osvYQzs7S3wYWB3t2Fvb4flcs16JWWbnVZjKiNd4eOAaRvqtmF0loODGzz9zJewdkSpxMUL96F1A0mJ7ElyGX9xuXw0yE4/bTuPt/cyQirXNmM4cfsMheAmZd7iNujm/87d1VIOzZjPsbJiea9tjwsEF4gBGutpFntoI0yjahxRtr4pMBQGVdd1+CEL+LkRO4p8jPTVSNnq9Rq3A8OtMsL0hE9fyQeSDzBr8DmeUbxWgNhSP2ce0lpkiTGGqBTpWDNOIGSx0ZBBOT81r8niNxJSEp0iLctJ3dTUmY8ftQcDKflcY8+NSgW3nY4V4OYZMQ8a8/Obl4fK+c2bz8pry5gW2iMBNW3ZV7OFf8IRQt7lK6gqQ1vkQqDIY8rrshaVd5IxTIyiaMRHO3sChZD7JbQCpXMJTaQ7SjlEjrlId2SLUrUFqb0X7R5jDEa3+DhgrUelkUXdsLNbMyrBk5w36CRSHqWRb9is+OLnP4tzI84Z/sKHPsiDDz5I21ZTr0QJTD7KIqa1QmE4ceIU73//Bzhx4gSf+MQnePqLf8RqM7DYgQv3XuDUqVMslyteefkqL7/8KqOLmDhSNSK7klD40WKMpm4q+mHJc88/SSLwze/9Vk6fulvktwdLYpjOuQQD76W72fstbRXEktVam+9veR70dD1Lp/z8eZhMe2LxWf7jA8NNG7FQnrWREBI+ynEMQxEwPAo8Fx/2ycfEBbyVYJ+m8msWDb8dGG6PbzSOZwzHA4GaPdRzhsYR3GH283xxVUqV+TMtimVxmP6fLgGgTJz8uXll997KwqplMavblqqqUEZq/aiID5mSGWX3HdVE5sm6pltK6XwcZ2SVnwvr52hGxE2vLYttyYTmTVDlbwpFVijBzM5dQGzRn5P+juOUSPnPZCwAnJPJPQHgQfCSyTAuJYIKWbW2MI+2i9sWhBcjH6GvJrzxaCOMLGsHTEMuZ7V4G/BeJM3b2tA2jbBrgoa2IhLAxyloog1xDDzzpS+yWlquX7/K933fX+Lue86zaHdRRgFm6n9RCjabDYUNtljs8s53vpu77z7Pb31snz/61B8wjh11Y3jwTQ9A0nzt3Mvs7LZcfuUK63WHc45al+wqoWMi5k7moODKq1/lC5/7NI+99R3s7Z5iHD0hdoTsFJhSylLkM9mLNM6yukBlmpxhloxyW4KVjGE8gjH4Ajr7SPBp2nelWLKNm1fn8mwIbuCISeOUIwZywDYYIxuiWh1tqCyBYfJNd4Vim/LmSCi5pfHy9Rq3A8MtMuIxjGHaaifhWMcMwJVJMu9zKKP8rvx+zhlP3kLaMjvKznpaQLU6EhRKWUkYTwCy6MQk9XxThCaKsVBwWQq5lGS2XyDA6fHd+vy4y/fjGcUceykvKcFlXmor51p45OW8jzezzbuMQTIEY9helxAmCW6TJ31dKXGAc5bgYoFNBJRMR48lKgHIVVQQSpzIek9m2y8RosMYofOihMVU14Zx1nPRVq1kcnVFaCtsFPOZrtO0pxoW7a640IVIrWrCYFE+YZSozMaFxtnIqy+/xK/+yi8z2oH3f+CDvOMd76LRO4QkdXDFMNFGUwLvIkNvAc1dd97D+//CB3jDfZd47vkn2d/fA6Vw3rJ3Yo9z99yNxvDq5cus1+vc26KoKynbVVoTFJACy4MDrl55lSuXX0bdHQle4XyXwX4pXc7pyiEEYgb45ZmOpKpc67LxUTm7kEwjRn9TYBBas5FsNkhGl0Jhp22zi/kcmuai2vbTBBOoYgM6oFIgGo1KN5tAzctJYEjR40OQ50meTEwu5b1e43ZguEVGqXHPU9555vCnHUfKSHBEQK5MtElMbr4w56CgYdvABrLzA3StqJtKFjUjOyCXAtr7HBik+qJkZT2GY2wnwjxlL7v54wt/GSHE3LB2HBc5OhHl2slrtGYWGEv5Jkx/X/oejNFUbN9nTqks2YhCEaJYMnqfmDela62okkiL+IKVKCAqEQ30PgsflvOX3bQsQFtKrkh6q/x3ER8sIF4L3gVppjPCDBoHx6bqaeuGtt0jxJ5IovKa1CaST0QnuEZTa2x03Lj+Cr/9Wx/j+vWrHK6WvOs972V37wQheVTuei/PnHMhl8NEt6lq9nngwYdod1us7RjcyHq9IfjI/snTuNGLgu0VyTrqxmQnPsvQ9SIFnvGZl19+iRAc73znu8VFMAdBWcQtpaO8MNESW3rqHGOAci+Z5kkJDOU9jy/Wr12G/fqBQT4XSNKtrlPCY1FREaNGeQVR3zTXpvkbhUabQkDHmPGcvJFJTFpfr8e4HRhukRHcaweGGAp74ih99RuN+U4ZIIZcV45Hm8Im0CypiQKrERWgFOIsiEDbNtSLWnawBJJK2ExJTSmn6CkHkpyuFwlsTZgt/OnI4t80R02E5udQvoq0B3CTXo5ck3QkKMzPPYSjpaU5H75c4/I+0/my/SIlvPV464XFcmSjNwsoUeShdckM8mIQtzEOpUIuSQVh2dQGlSm9ScsC6LLZUUqJuqpQjSUGhUoVRME01que0QQWiwW6MijnUAZMFFpwyDek1kqIB3he/dpXOFwdcLhZY4Pj7e94J6fP3EEcOVICEdvULGs9jAy9+Cc39Q6r1UpopKOj78fJhezMmTNUVcVmtc73tMGPloMITkn20NY1bhy58urXePrJz3HffW8gBvmdy34HpYdF5YscdT2VCFOCGMaJCCABYb4Y+9zN7Lal2JCIoXTKk59TyRjk7r12KXab1UrprwhDBpd9G5SQLHxobgoM22cTiFmSPm+6QsoMvXR08/Nve9wODLfIKIv9TYGh7HJm+MKfJAW9qY6POvL/5swb2GYHkCfHrE9CJ9jZ36XdacBoXHKQEEXWJLv1JhmmGktSaKWIaquKWpq45mWgebNS+dxSFijnMC8HlczAuW25Sl63DUrGSHlofo3CDFw2RdVUbZVYg3WkJAGldITPA2ucdtTyHiKhvcUnVGLKZlwOQsev97Y8ppFeiKN8fOHTy/tLR/iWVaUqTawrEVH0YHuP1hUhJNbrjr1TzXSsJcvRDURvxW/ZJ5oGrK4YNis+9ek/RCpdibe97Ql2q3oqvQiGUvR9AptNL/LV/cBytcSOnmGw9P1I1w05w5AyVFVV3HHHHfI8mArbZHObZFgul1kyYgQiTz/zRfb2G3YWp49lDClnR6K4G0sTYVVhTEJPDZGG0m+yxeXctgQ1W6jnz9b8S+7K0bk0v2dKSXk15YwvKrkfKT/DKSaqVN0UGOavn6RispNbdJ6kNPqm5+Pf7rgdGG6VkTXoU17hNFJ3Vklko4/DVK8FsB55u2NZhVH1EZytwogHQn7jYmAu6bsgqTFFKlNRNQ1mZyQoKzvzAM6Lf20IUnO3Snjm2iSMkqSZmdSEQh9Z5MsxpgRUwg4Rj+BSUlKopNG6ojFbKqqc91EQervoHw08EkgLlsAkHhhjAY8zCBigqnIWpTRnTp/h5MmTOOfE8auzxOgoktYSFKR2raWgn++dvL4woVIJEtocCTYRSLqGqkU3C1IYpT/QJOodg6cGq4idxuiWpDsaE6lr8XcwgB29+GzHgOsralMTKovHEzKarhaG3sXZuSkR8+vXPP/U5/m1OOKWV3n0sXdz6tRpYlCZSeNwzuJCj/VLBnud0a7wdoWzK2y3IYwjVZTuZJXidK4+ZjqwAdMYTp09lSU0agY7iA928DSLBc+9+FUevFRPmADMy3+SJSrlUMYIxqMiqoJtTsuEg82tbqNPpKCJTpFigBRJXmjWKkXxZc4BJs2eewnU5fksjS/bgG6QZkpmuFJKNs/XbZkopcysi5COlJoUmJaYEiH3v7xe43ZguEXG8frna9VE51z9I7uetGXylPFnAbaOp8LT7lNrvJN6bMgy0VL7NdPuPDHradAFhJ4fg0y0kkLLZ22PWWrtNSk5gmcqrygV8HPabLwZ2J73QMz55MXjoKrUFBS2QKVkAMZsGVMgJZFLly7Rti3L5TJz4nuxL41Q1SaXyMjnty1hlc+f3wu5Hlq6ug2UrKquK+pGykhxlmGUc5kriqosK26qmpQCKQjAHZyco/eeuikNi+JHkCJ5p83MPEnKKlVbsV6veOqpJ7F2ZDN63vXO9+SOc4XzmdnjpFRUXPxEaXeYsovgSqDe0mzLs+y9n0qV7e4O+ylCp3DeYzLBoes61ut1zhZ8fg62cuqFfVSed63MTOcqZ6NwZL6UIDGn/U502NeYP4mjbLiSSW/nw9GfbyY0xNnf6iPfUzpaHpXvR+fY6zVuB4ZbZEx0vbzKzEtG3ygo3Pzw/dkCw/H3KxNFJlcOVFnFMqkwucnJ4ic7pZQkg4jH0+oUtosmmTYay9ZfJpoxirZtiHWcOo0L17xMtBIDjpeZ5sEzhFIWMkdKQ6VkUTKVElxMLdaaZ8+e5b4H7ufEiRMsl0sOV0uRyo4eY6SEZEwtdXVFzh7SVFrQs6AQg5gDlUBpjM6ZhUeplAHaegpuZbc6P9YiNldPu1j5u7quicFhVQH7HdDm96ioKghelGiVMlvufBD9pqqqSSqxWh/y2c9+imQMTVPx0JvfQlU1ki048eQYR3HrK8Fh2zxmiT7l8lOYwP9yLworToKD3Ie2FcMeX9huEYa+PwJ8l82InGNAm0SMdS7PlebEshGYYRExCtgbI9F7weYybnEkMMzmUYyiIPBac2f7bKVjPx/9/dG5F6fvU8Zw5L2PWve+nuN2YLhFxvFF/3jT1tdb/F9rl//nOYbjWcfUO6EywKqU2Gzqeptmp2IzuT2242ZDR2rp02dJFhFsIKqYWTcNO4udKShZG/GxlBeO7urmi2hhJMW4xRlKhlCyhO2OVoJQORaD4sSJfS5degMnT57g8PCQ69evc3h4gHOO3b2dLIPBpKGkFCgdSWGLFZQv730+ziRNYypsM6mURPffKKrKgDpa8psvOEeZNSLgNhn9VEJzzcsic9ql1pqoEkoFUYNNcixR5f2qCiilaRqRQH/+had58ql7uP/++0kE8dx2HePYM9rhCP2z7O6996SQGyLj1ithLhm+/Xl7bea6QtZahmE4slCXwFeuqZmCQETrKivxSif+/JyPZ9nzZrabmUiz+XQkO3jNWfF1/v/2c48v9ttMYfs32+/qyGtfr3E7MNwi4zXT3CMZxFFQ+rWwheO75z/L+HpYhS+MIpOIQdRFA3G7sE07+fy6JNTC8p7Jx6xs+hofmhMHTyJUFvGXyKwT53NDmfypMduAc/RayWfXtZpKGOXYS7dsKU/UtcH7QF0LgLl3Ypd7Lp7nrnN3UlUVV66NrDZLQvJEAn7wE9hprSVGpmYpYzSYXEcWLhe6Ev8LrUSmW2n5Tl7T6rqW7MBsg105n7JjtsnOFlcBmq11+dqGvKs2VFWkboQ15pw0cimSBAQjQVPFBCmiVGJnJxsGZZqOqWDTLXnq6c+xt7fDo488xt7eCby3DGM/BYVxHKeO3slNzYYpMMzLONNtzQEZbdCk3EUuOFr0gVZXk/R0uY+iLxWJKpBUFP6/MdR1i9ZhCg6lj0EdexZCCJP0RcrHVYTzYoxZE2k+t44u1Mef/280j+a/P17OnR9X/ovZa14/4BluB4ZbZvxxeEL5/Z9nh/Gnfe3xv5edrCxy2kBIAV2lXKqBpMO0E3RZZj6RF3Qp1eb3vTmNLowiydwTRidAjH2EOjk/rjgt6CHI4lxVTH0Oc8mJUt4oQQa2ukplLBYL7jx3N5ceuJ92seDy5ctcvnaVdd9NtEfXFUkMZOFVUjZTSgMmB8i8MOSO3KRBaTGRMBqapmJwYq5T1xXaRISauQ0KaUZhLIHNOUflj96TmCRw1nVFXUujnDbyHnb08p6qoqrErCh5adLSSJajkkhwKOS6pRT56le/wmaz4cqVKzz++BPs7u6yWh3inJuCwvzLOf//s/d+TW4jyZbnzyMCAJmpTFVVV9/u2w+zZms73//DrM3bru3ajN07d29Xq0pSJkkAEe774BEAyEwpJZXqT9fQu2VZJAEQAAPh4e7Hz6lEeGsR/zLabK/znNmy7lourm1gRr7QJChqEJ0wUkQocU3XhJCIsdBkXU3xwvLmednCbrfRTSOIjJ9Qi3tugt9uv/38fLsNTPXiHqzvX2sMV/sMu6wxPHUQP28Q/VzHgHgKxD8Tbm8HQhfoB1dqC12TaizMkzdI+araC6QxtyK1gVystMyHcRDoYiJJ9OJ1pSzItEK0b9+cgllLG6004u3z5hTaCvzS6YYgDMPA999/z9/+9ld2u57379/y5s0PTNOp5q6VaSqIJdY+CUFINApxD4xW+GmbNFqaK8ZIkLJAKWPqSF3AcHilhADSuKCksr/6hbZJbth19TgRQyl1rIgI/RBIndSCuNSJfk2rxOTSoxIS5OywT1Om2sRmKGqQovLjj2/4b//t/wTgv/7X/4qI1FrDtpN4zdm3XoftOG2pve3EV8yvRaw1dvn0KGoLfcpzKVDn4KrOguY8u6UgDSDl4jmpXF/t79IgenaMp2nZS2u/4+VpbSP1p5N7e/3UcVxrDFeAo3myAAAgAElEQVT7IrtMI8GnD+Jfw2KMdH3PsO/pukAahNi7NoBLeOal2SnGyHiaAYXsuP0Yz5vYmoKX2wZVRKivK97fnNW1FYq1OotWS2j8RtsVdnNGsNYalry4rVoHt7e3/Mu//Av39/c8Pj7yww8/LCiZhp3vukweQ4UeKkKs17JO3pcpiHY+i3MQ1+Duuo5hGBCBojO5QIg9FtbiumxSDGvfxhpBGGsEFJOwT3u6ruN4mJY0jkdNlSAQQNxp3tzcsNvtmIvy8PjIOLpeQddBipEigYeHB5cDVeWvf/0rj4/vmafziGGeJnIuDgs1j0a29+Eshw8QoqePWj8JOI28gaWniLLteG/NfjH4sVMCEe/jMDPiBSXFFo2Uc36SsXmShn3mmXouTfsln18+r9caw9U+2y5RSO0hXx+ypw/Nx+y5VNDHPr+0NhGFENjv98RBuL3d0e+MYSc4i+oMOiNWaauzIsV1c6M5XDUEowtC1nG5hmk0iG2SB6wR9EWyFeaxRU8NpbKFpvpfd0hrLWEbbfmkvF5nqbw4IQSCKBIKN0PgT9/2fHsnHI4PvHnzhjdvfuJ4HClFwAJBOrQYpXjjFQ4sophrL8+TApGYEzGZU3unQkje7JUr7biq0Q+R2Dsbp2LEMNClnhQ70Im5aVUQSUJNDfnEPheljKeK9GnIrkKIgb7vCWnwlXM3Ezp3Yrl4sxoZ+tDTJ0FiQeOI4/AjYolgHZqPqAYESBHevf2B//f/yWg5cXt7S54emU4PlJydAqIIocjSc4OJc0O1IWWbf/iq3h1eXKJFqym0GFo0B1TpUv+9vGCfYkLUqUJCEKQ23mjViZ1jelJ01garxuBUiOZNltQxtV21i1zQUiyPhQMjmoSPtLPbbm8sdbQ6Ov2gCqbmfTjS1+dW6/frZudfzq6O4Q9iWw2Cy3/+Qfhkp/CcPb96+bC1Fe8wDNze3rK7E4YhIiETgqK6NpCZGZNW7d7ciuQtp1/zwcUYx1wfxk1NAQgLpxLe9dvkOT3hsNQRWspoS+XRnKinjhwW6kpj63WsRQ7ziTQqXdeRc+bHH39k0sBPP/3E4fEE+P4lK9PUWD+lTsg1Ry8sdY5pnIlxjRBidC6p1IXKdpoR8bpIv3MluGIuKdl+hzy543Lmk4yWQAydF69jwqy49rSqCxGpMueRrvMoTMzFb7quc2emEHJy7iBzpbJpqo1vYsxTphQhxA6JjvA5Z5SFd+9/4r//D+Uvf/nLomm9dEerohuIKZzXwM7z6h/O1V/u115vf7uWDmzndnm8nJ/S0TeQRimFoOfncnluz53dWQ2B85rCh66DtrVd1Bj49MXc17SrY/iD2BNH8Mzn2+0+F5b6JY4BWPDn968jMRrjNFFK3sAX6wMZV9x2iwxaHr5h9Fs6SFhhjG37LfR0ew4+2a6kd5epinP8+4pI2nIhUVlgJYRa/PWc/TRN/Pjjj8zZI55UO5uDBAy8MFqUGHae1pJMjIHdvnOOoujRRBA/bqPQdupsq07BexZ2+55hP/h5Z8Wy1eaxEVEjSFroPlS1cv1HurQnxCOyIWhq6bC+dwrq4/HINBaOx0wQraku7xpHA2gkz7nCZ2vtJQTEci32rwX7FiWKCI+Pj/zHf/wH372+X4AFWp3CxxzDdpzWV0/G3jYds430tmN7C2/eQni3piY8iRiak6iRyHNp2k+tMTTX8SHn8PEaw4eK1L+8XR3DH9S2qyMzqxLBHx+kW3splfTS9tsi+DRNvH178FUwjkJZJrESEOkQyUjyVID3J8yYelFUzVdejY4COc8Lt+8zM3K2xYE40ihU7QBPrQBLfwKsxcEt79KWfgIglxGCEVOkH3wFnrNRNDNJWGgLGj1zlMDhdCDPsxdMg7PTqinDruf161t2+56uN8ZxAm3NaSDBUx7z7PQhXZe4vUmkGEA8YjqdTs4zVbzW0oeeYQh4F7M7QS2Q55kuFYabDpHENDn7aKy5tRbR5WnGFFJS3r87IXg94+bmhklPdH3CTBinB04nIyVHdzW47JxdFW4lpmvqcnA8PvKjGjc3N54ynJWSC5SWotsWU9eJffv6OcdwOc4u398q7W3/XvbHtN2XxUJNb0n9dwna+JQJevucPQcH39o5z1f9q60gbpW+4+nxv2Rx9zl2dQx/EHtuYj5f4fyyuOfLB6599+nkXP39PNP1iRAUo/IGFasIGWd/bQItAKYt9++RwlTm5SEWpOZ6fUJJaV01dt0F5bUIhXlZKaaUEKe69GJwMEJ9wFpUApXiuF5DrLDaBq3F+S1X51QjHZG1ZrFdxYoU+hSJCW5udo4qsoZu8mvwSVbqyt6jF0mRLg10nU/AWTPjaXJRpDqpdl2HmKuVhSD0vaelclaKun5xv/cuaXesNUIKqxPshwB4CqlkyNkbDuc81uuZUMuurmbFEUy1mOsCRI6Qamk6T1+17l5v6htHd5LzXCpfUFsEtAUEm79y9nob7bxkH1qgbBFfFyP3aXroA2mjn2sfmszX4/+yz+jn2NUx/IFsO4AvYatB0s8a4C/t9yRErxP9wpdvRt8Xut4IMRDTtgnPKhurN3iZtm7kzfcv1A+tgNecRisUN7K7dOakzGx53hyVks56EbYds5cRlVmVBo2O+U8pYeorbtFKx2yecqhfVifCGc0VXhkCMLG72TEMe7reJ31wZtUQpFJwhNpNXWGoLbWVxNNNIdTIaW2qchGggTwdKDr68YnkWZmmkVIyp/GBYdzRdY2Iz+9JiNt7Veh6YacdWuDh/VhrP5WWm5lxVMwCp1MhpW2qrWBy3uexvb8i4uCynJdGd4eePj9Wn/v7sYjhOVujjvX3/NC+dgHSaL9jixzaKv5TvvdD59LspXTSr50u+phdHcMfxC5XOB+a6Laff+7xt/bS/ltJTW/uCmiJC2QwJZ8sQlePlcJa9NPzSSaEyKzTGXf+NsSXIKSNBjVyvuqTqLVZK9aUx/aatDqW2rQlniZpTqHvE6lvZIAC6ums1i8gIZylALZUCu0ahl3P3d2ero+1H8Fq6iiBOa1FWBhUM6HVOZqGRFVwE3xCLlpqwTr6nCkZkUDXexPdOI6o5co/5d3DrXs7xlChtGsRXkJBJCEkTD2Sk9Pkk74Vbu86hl3k/btjrbH0BPH7kHVCK8IpRPFiddn2ZbgqRcm6RGaq5t3UeERwyQl02QAW4qc7hu3+27+X9Ydl+4tU0va/VXVZkXzpouryej623e/IL1wdwx/GvGV2CUnb3/YYlAt92Jcm+s+tQcRkmEa0CCntHB1jI0ah7yDdDuxvIru9EOKMBCXMTq4nRAiDS1mKEIJhOSypGRFg8r4EreI9qVsL07HVCiqnkGpxGmr1prcg0HVW+wMKJTspkqnz8+fsjiNFr0vMC69/oY+BIQ3r5BKEYlWsxSoiJzyAJUIcyBlmVTJO8UyaGG739DfJO7E1gwnRAhYE6SLCSOohJuiHjlwKIQoSjZgU0r07zFzQkJEYoBgphdqN60ioQE2/lUCwRCl5GQtbmOMwDPR9t9ShVF/5b9gp/T5zI86VNJ6Uucyodtze3jJNrikNhZxHcnYHjw2eF5dAiHFxjClFJCQ0jDgUM4GJq5KJIk5iAq6Bt5mYtwOTs8hxeXMZh+efxHgxpRXbIl/P/utyPG/HtBn1XKtoUv3fU8fylKuq7W8GQbYd6ef1hvNjmf9/Sfl69Ci1OI41Mntxgkl75uK/ol0dwx/EfuswNGefZH2FOmHMdH2gHyI3Nztuv7tlv++JXUZ1wsh0Xe/ylQSyttVke0h1WblDyzV7PWFbRPTuYedcEjy10Qq54CmTYUiVX6gid3Tt/BVxGK0LudQiZehreskWigw/h02BcJlIapqurua1chd1XeeNfF1YYKGtm3oYfIJc01UsTXMxRuYyYxaIoVJ0LNFXQ/F4mqlFAymsENst7DIEJxWMtX7hXEXeGBiTOPS21nq8M7zWHPqevi/k2ZFjb978yKtX04LEaveknXeezhFF2xV6E7Jvc+D5vROfCL/i2L1MacpFbe3jOf7nX/+vaFfH8Aeyy3D4c/f9OdsHSWABLTOEzP4mcXe/4+a24+ZmR7yJxOS4/LL0LFht4CpktQpfbbw5a0rHnUJYOoKfmHje3Scgh37GFJaicd+nJbVlZo6yadx9IW1qDz55r5QRT6/5OZRKCJG2GvQJUem6wP5mIEZht9vTROZFzEn4ZvMmsyArvXdcJ6426XZdR5GWUqurzGAIkZyr8lmf6iSf6NLANGntNTBCcLWyRutRSuZ0OpG6cFaPEXHRoJQSpcwVlZQYx5l8HOm7HXd3d/w9/732IojLXtbz3PYLbHsGnFajOXBzbQz1nhCPuOyMmO7n2udGvtttnv37AUqLP7pdHcMfxH4uiuLnbm+SMAppn9jtE3f3PXf3O3Z7L9xqXPlyPC1SI4Ws5LmQTZeCc/vnsFNPJXkU0KKK88J6V2GTLX8ugaWW0HXuGFoznRd404ImAp/YfRV8zkB7CV19PmLwBjpTc+ZYm+l6ISV3iMAiSTnPc9VQkOrMlNRBF7z2YUDOMyk1R0BNJxSiGBGhC6Ey5WbyNJGq8zBzx9ql4QyqvCCzanrHNaFXcrh23VLvgZnzUkGuHEsdD+PM+/fvlwgFGuTXf0upx2jpE1VbHFnNeeCCQo13SDAUsaqtoS1oeDkX/+K4vEwVXTjyS/Tcst+HooarY7jaP7PpB3Kdn7r9zzUTX6Xf3Ha8/nbH/iaw2wdCVKby6BPj5B24pgIk8pyX9Mq8TA5rR3NbycfYirZrmqR9LsLiCDydojWyqJxGnU/Cfr26pEHMhGK5pjsaTXfZ5MfTwqN0yajavtuP46t3sI3msHBz06Oa2e12gDCOHg3tdskn9TwTotH3qQrp+Pl6Gg53IFW3WHTlNtL636eTRx8theQTvXJ4PJFzK95T4aOrVGlbzS9cQLBJS00LyismIc+FECJ9v+N4PFLK+821y8I31KDB7X74d7tzmyaH1xbNmK7RCRYx867wpqvRfvvPmXxf2lYuHMVz8NXtf1+mxC6P3u7jdgxu7TnY9nOffxg+e27P9Wlsx94vZVfHcLWvYinBt9+95vU3O25eCchMiJ66KMUnrZwLJQtafEIvpaWSGo6fpeCcoizEeVuqgjW1xDIhDb0uK1QzCLXTOQQoJS8OJ0QhLh3T87oCrtGBaj5TDts2H62TQeMaWhuxVF3vAlzYpu+9Z8EqDck0zbW5bO2j8Enb2Uz7ms7SqjBWG4mXXoHYYP8YgsNjvZ4joIWc/R7Ns0diOTeeKD9OQ2O5Y1hJ8loEYczQdLpVXf8herdzUSWlDjjViCuu1yFayQw3tBMSltrF6XRyHQnZbhOWBi53Cr/dKvy3ris8jfDPI9Pf0q6O4Q9qT1I9L4y0n/tQpCEQeyMNSr/3TtuiM1NWsiolQ8mxOoZaJJTWwQmpa/lun0wlOgtpYzQ1ikM2a3YiLFFCZBjWAnFLicQYQJSiLu0ZQpPpFEclAWZlSSn5xO2Fy2HX0/c9XXcu2AMbNMnWUWnCLC8NZrt9qlxI3m19PLqKWdeHJe0jwWrKKNFVqOppLPX9Dio1hQhIBClrGq31OaQ+IoQl6nLHa4BraW/7Nlq3d6i8RXN2Peau6+j6lvbR2h3uPRWNxmIpilfW2LP7wPlKthXeQwiM41jTZpUEr37efhMrgLSI4cvsxWH7kQ0uYbFfw56g/T7y+XMw8tVRypmz+LXt6hj+oPZrOwZkJibnA5pnLzDnPDOOEyUb8wTzbOSZquCmxAgxRUI04kJ9XZ2GOYy0PTgLbJWV2mDlP1Ksrrbb5I+svQihktS1XPs05YUyISXvr2j3wKmyu9rpfF5U9XpDXJyZVC9lBl0a6AfY7aNDaYPVTl8vOgPOMhtdK8KsrcwFLSsVdgihUoe0TmxBFMQKlgs6Ty5UEwJD5yvzx+NpOT9dCvFbR2LoJo0zDAMSbEMjHmpE0bYvte5SaSuKLaSB7fdotOfeB0G9D6Xe39MSpbT7LJvs/5bp1+s8n5cG3dqL4/aZzz/kENo4+zn2xDE8U6N47vtXp8Dm9dUxXO1n2ufWDJ46juew1dsv8GJx20slEzunUIgDDJ2y6yJdiJSxMI5wOho5d+S5UHQrNdmazdKyGp2K59a1zFgpiOQV5ihe3N7adn8JJ4KEZaIOwVfrWCN485STI2lWbWePJFzq0XWWvZDbpZ6uc06kEAKY5/pbhBBD9PO0BvPMNVLo6Poa0ligZBhPis4n7m57bncDSQLzLIS6ShbLSJ/IOiHJf8O+7x0WSiBKpKhLS/ZdREtPnh8JlZZj6LyWcTyOdEEYtVQWVDCJnMpIsIAUpY/KEAN96rjb73jz4zt2SSAGVAIh9ZBPRCnkkpEyE3SmaCRIIoY9akLWzFQKaRdcgrSwOLUYI0WlwuwDak4nrrNj/lNMFCnYXGXlNFPozyOQS1EpyZ88jp98Tjx7fVY3MAgb+o3m9M/3P1/ht4XC8t0WL7ZuNYzqANpjWcexj6d27r4wWsAUZ30S1bGvp7rQtLRtnxTav6JdHcPVzuyTV001ty4Jbm877u9vHJYanR77dDowTjNaHCefc0u19Gs6Rdai6Ip4aeycBrI2ZoWwXUV5I1MIrcB6DmNtVN6+ij7vQ/BjOVFf0xpu3a0tWoip0T00HeWVFrvVG7YTWUqx7uMrvBAimDfaefpFNk4wnGHtQ5Tl4d9GJo3B1aOAtW8jxshutyOGbkMPXmUqCXSpw6aMmhA2kcOKchJubm64eXXLOPn5dbtKY1GcTtyKO7YtQmvpj5DgvQEiRCIhBdjcbxFhnhulR0M6rRThauc9D6ZSZQieL+b+0e2SDuT3YlfHcDXg/IF8bpA+eVzrbLbbJe7v79nvIxIK0zRzGg8UnWq6pMIsu91ZE9d2wjEzijU4ZYNY+uprycNKqWypaYGQxiik5GIsWwjpuRIZCBEtKxz2zClVvqOWVmq9Eo24rdU3tiG/i7kUTwUFp6/2cwnLfjlr1Q6e6eo1N3STH6sdj7N1n/cRlOW6SymVb84nXGdpNWLwDuJ5nshTdopoIEmiREFzrRUQSVEYuo4+KDF4qu7h4cGdsSm9CFhgnkciK914S0NFg1p+ISJYLXyoKikEbIPaapHDFh477IM36Ymt9BfmNY1tqvDD+f6POYuvm/p5GjF8XXtybb9h8f1jdnUMVwOeFsKefP7MA5hSWCMARo7HiaIjqmWRhYzB54C+W9MFWz6hRd832tJk1prEJGz0EWKuq+lWazBiNFJ0uGgjs3N0UEUTqU9ihlZx9ybK4tcTJKLiDXYhVK0G/BgiDn0NYaVkaOItWx6kruvoh7XPwgxKNk6nkXHy4u7N4D0NXdcxz7Ugu2mI21pzZlu50TZJn04n5qn1WPijO03e5NZ3O68liCDFucqbWFgXvQGuOYZ+N/BweMSCEENiPM2U5Cm4MmesVMRTvY+N3jtPjrqSGDGdmccMpHqP9Owa1oa6gqogljySKxkXjcrLPdhGC8+PwY8XkH+O/daO4Txt9vuJlq6O4Q9qL030n7L/mdm6Wg4xQmRBu3jqICOC56bFKnaeiiA6F9ABzjSbtyv4VtRtp+39BD1BpqV4XErx6CMEosiiNbGVM22TaqsdtPdVYTxNFaXjxW7vd4jOTyQ+QTZpyBAhaKiF11L/tQgjMQwdXV/7AUKkFOU0n5hn15y42Q/sdrvFga69AqsjirWvoKWLVopvf/80j2RTppIpZt4bEQLZlGxKNHP6jRQYx5kkUAQQI4qv8qnw1aZWN5eC4dTezoA71eJ4x1yLzE2sZ5oKp8OI4Q4hpEooGAJ5mglJFtRT+226rlvoM/KciRUM8Phwok97ggXv/JaV/PCDY/VM/vLiow/ssixCLD95/1NebyPQ8+/7VBBHdXYf3fplewpp/XXs6hj+oPZLDyIJ4cz5NHK71rHsrKCV8IvwxDEAG2cgFFaJRXcAM6mLy3aLDOUm19+uM+fGtrqieda8OICnVVRBazObv/b3kVLrCw3q6it6ozijq1lFEhUcj9+6rKkprwkQ1ORMH7rve3bVMdzfO1HdOB6XfL/3EAjzlqKac/GW1lcBfo5D37Hf7ynFFdxCCNzshNg7ZXYuEzJlDKWPkZtdR55npiPQ4RDeUgvUqSekSMKjonGc2XU7UkpMU15W/BGpGgt+jWjtufC4C5FV/Kjtc7YwqUX6EBIxbnVC6u/4Cy2Uv/QZ+FqTsJmdXdqn1u8aQum3tKtj+IPYU5jcz4sYnhyPpyurNnHNMwQRJGhtXpO6ClVMG13C0/Nrf88djDekmUHqVmU1KpRSN4VOK1WveeNz2mdtZeyva81iyWfHxWmkFOg67zTuuq5GDAG1jBZzhlKLy3GbU2qrYldDywgd1DTUNOWqiObF7P1+z5///GfGceTx8X1dVTuCJ5f5rCO5HX+9H8qUZ6Z5RkIgdgmC8w4RhBAjXafsdhET54fKeWSaAZmRUEgVsZVSpO8isxU6iRSJjhpKPTln7ztQoYu9RywSK+N3IBhOdGjuxCmKJFu6prfpoDVSO1dga9dYZq3kditP0sftyzzHc5Pwczn+D23zKU7r/HhbpNBTuu3L109OwOox7NrHcLWvZM89XB8u5r2cm32yz8X27hRq56s43YGI+YpVoBR8UpFzZbZLa6mhTEOu+PutCN1Wz45sKkvk0Y7phem0nFPOhYZwasXPBbxjreNalyJ0SolXr/oF4ROjpzjaQ9rqAWsfg6yprJrukSi0/y0OpOoTpBR4/fo133//PT/88APTNNV8/LkuxDZ6apPq9nWj6QA4HA6k1HtKyQLMbxmnR4Ik12pIxs2NRyz72111opk8zwQxQhcJySO6vCkSp9hzOBzY9UbfDQzDwOl0Arwfwywgsau6GIXooWGlAjk94ZVq5+sQTkdONS0NtbWD/Gsvjs8m4Gf6CM7feP4Yi7P7rOdkpeZe3renDuKDJ2Dr69XZXh3D1b6iPV2pXH5+/vpy/F86DsXho64NUxAVyJFyDNgYKKlNZsOy/wLpFEGTT/zn8LzLKCIh9P4iFgLU2sKRrIPn2FvDlK3FzhydWE5UyKOhsxeiYzD6AaTc+uRkhumEzs4zNPQd+wG6ONF3nmoqGbpuYC5KHjtH0aTDUm9QVVIXGHaJfqgY9HBPiJHpNHshW2aGbkewwD52vJZ/5bvuv/CmnDiOQJcY9jvyOBNkIIZGJ7HJjavSJdc5CMW8jiCtOzkTFL67v0dV+cffbxinEyLKMPT0gyBhZLcf6DohW4CUeMxHThn2IdKVSJiUb4ZXTByQkOm7E6M+kKcH7m/+lRwjUXZYzrWVQKGMpOja1uSIZoghETonSwydMeuIBYemdkPgeNyh2RhCR5+USTNZDUKgmDG8GDE8H22u4+jys82C6AXa7Sfr9+V44nOyre8/P1GfHyEs/TYuoiTI5hjPkPg9eS43G5vLzm71GJbIjOcBIV/Lro7hal9s25THx8TXRQSVtTDcbPuQSoVMtrEeY6RLiRByRTl57r5xKW1rFjlXlk9NzHMhWGuiMywIKUTyAlctNRVUawC7HTGWTeFbmeeRUgQJRpcCGhvMVBcGV++b845rU0BlYY5tkU6kUn2TOU4PjLXwXMz1jxHFtEFhXTrTOY6EGLrNdTpba4zOCtt1ft4tgmr3UVWXgq+ZI4m8ATCSuo5szm4rajwcH0l07Lo9/fCKXA7EADf7kceHiTdv3tKnO/q+Z7SZUEFKXnIRbDMtCd4XUoqieDTQBHZKdo0MIYAVj8ZojInNwX+4uPx7sF+78Ptrf99zdnUMV/si205GAHbW9OWDuuH2/b1ytp+/2DiRmq5p000UIRCxUsjFPG/fwnIgz5uIwVw/2Ve0TvuchkpmF8OCqPKUTKYfnAfJ+w98GxGHUEqAMmeoKnFdF8hCdUws2skxOhurWSFPYJaZ53qNMWACinKaJ/79P/8Hj+Udf//xB06nAySDG8WVq9t1+eSohcX5eJrN0VuNf2jreB4fH+s1pbO6SimFm5sdf/nLX/jxxx+ZZ4XZiH1gv99j2aO1w+HEePgP+t0r7u9v2N0M3N8MBD3w9qdHpM9Mp5lpVooCEmpDWnAlsWVCN6R4hCA1EsDlu7GsSBQ6ca8SAk7vYa5OZqbYiyvfT58kf+6E+lJK9nNTsB+OSD68/+d83y9lV8dwtS+2Myid/9ezn4OvKtt/tUnMids2MFUaCsn3naZMKIoazFP7Ll3y1M1yY2iFBcUTQiKlDhGlzLpMmO05a1Bbz4PPS6HXrCzspjEaXe/nEptGgqyiP62nYZ7XQnHqe9IirOMT+U/H/+Tw/73l7cN7Dg9Huj6g9wVXoaycScn7KkqxSp4Xmaajp+2IYKH2MAip65mnwjRmr/HYOqE0R7zf7zfF3gkB+rir0Rt0STjMI/94cyKXA3d3N3zz7Q139zv69Jrbm8GL0rPwqCMmyZ2nKBKSy5K2mymGmqG5YBWqHM17SBSFbsaSa29QIy/3BepssR+Bo/LMuNrak9TQL+AY2vu/lmPYft9vZVfHcLUvtm2xcSGDQc4+WyIC9Qm7FWkbjn/53JwKGgPEKJORxVeYaoKqrLQMtfC9IJoKnksOESu++o6SCDGitjbTeUF05cNpRcEQZFOsbuigivkvE1lndrudTwxhpYdwmKzS9AT6fljx/KrEFDEy4/TIw8N7Hh8mxuOE2A7UKStCHxhIft9qOqaRzDVHttvtaNoG23sbY2QcRzAll5VhNaXI6XSqiLHZKUOiw0VLKeRZOR1OlCJ0Heg08PYfBx7fHeiHyH4/1Ea7x9rXoGiIBAnEoTYqxrAgvURcNrQsjX9CoHPAbwGNBZ0zmpWgghgEc94qCfEpN9IT+/Qaw+XrDwnzfOr+H/reT9l++/l2rH/MntT2LqDMv5azuDqGq32xbQf9y9t6M91w4igAACAASURBVFmLEi4dyWWR0MyWdJGakdVTOf6cCJCoRQEncavZqkgkxlQ1lxOn0fPqDWIKurCntkmjfe6TbROfcd2B42FE+ib043WQGDtKyVV4qFAyDMNAij0hQC6F1CfmMjOVjKSCzrqwzEYUmwPWWdWrzgTpKVmYp0zfCSSnDXedirgQA6aU2O9v3SEw03UDed7CQeVsMum6joItfSetua7rBkaUeaJGGsZ0gOmQeXibPfwyiAlC3BO72pUeHfZKDOvPpkaSjpDrKrfKtKYQicGlQhUh0TFOExBdwC7IJbHqH9o+r4/hWmO42j+hLfn+ZQAHzif6i9faMOG21BY2n7YZxv9b3Al4iqjBG8+L1406AhFEjUBkKpnYJXbdji71S42jFEdUeW1A2O12S62gKbuF4MJAqYoDlWKMp5HTqbCLXgDu0kDf7xCJlDyhZSbPsjgSpwYpiHtApvlEsQIUZjzCmE8Qi1CmQD8YkiJJZDnPcZwZBmUYOi809wGxsMBcG/318XjkeDzWmxc3ji0uvRMtnXWaJ7IWTqcT05gRDQRz2c4QRkyUPiWKeB9GEKmstDgbaoTUx+oQ6r0PziFVzBAVkkCW4NTgqpTZkNTYRCMQibFHtCy1ZykBC4LZ2gX/gdH2ZOx9qn3tCfZzj/dyH8OH97mmkq72T2eX6ZiXFkKN+qDRY6/Qv22I3JxDzZcXe7Ldqvu89hhQJxidlZSojWqVPsPU0TyV4qLvu4pEklrLaKvyprY2Mc/G4XHkcDix393SdRMxdLTu6RQTpjOleBTUVV0Eq+ksojLOU71wY54m5hKYcxUsMuN4yEhX2PWBvu84Hl27otVC2j2JMWEl8u7dj8ToMpuuJ7F2WG/njxgjwzCcCessxH223tcyt65uQUKpzXwGChI6Yujq9/XMyY8T+0jXRyRSOaaEYMUL/tG1KhTzz8QQLZRZnUAvCONpBhOvKVRJTzHBZHpptD079p6zz605fG5x93l47Me3/1SHcLnf1TFc7SvYxx+IFweZrvjoZ/d/oc9hGyZ/LBe7JaA7/3zbvgyXpxvkPOfgtBeKqSHxhlJGQizEbqTrErthz/v370GNEPeYjoSkpAEkjcTepTyDeKEUi+Sp4zQK7x9OHI4zBOPum0A3DMS+I8+B+aTAyGmcmMrErCO3KdBFJahLZCaEXCq01SIh3zM+nNCDICpoGPjhH+/483BL96ojzhEdJ8o0o/NIFxTNI33oSSSmWZkOIzf3t6jAqYyM+QiWiSRiv2POJ8CwALvbHZI8ZZTLjB5nLHrTmnSR06TYrOy0Y8o9ueCRTXKnrJ2g0RFYJIFddkW9LiCxignViKI1KDoazAvJhuPvF16rLBTxPGA2BYNgONTAAuWFuVkuB99mKCz171Zv+sRxuzaw5bN92/H8c56kus5KaoBt9RiksQG3Xh0cybVpZIgbGni/tvPjf0mE8UvY1TFc7Tezz6lRfGhf2DqbFi34wxdjxEJkLK45HKOx2/UOYaVRZQiBRM5wOJz48acT794/IsF49bpn2PWEMC+aEvPkuPvj8UjOE6nzfohYu3xLhUe1jujWZe2a15lcpU2zZu6+i9yVWwqto9tTReM4EpNUNtaJf/zjAVXl5ubGabkPpdZIIqix3+8hGKfTiWy50nR49NP0m5Vci9EKxaGiqorLwwE1clLxbu0QxcnxuoBUWO+2LtN+syWlB8tsYuIaHKJtoiyYhk3tA0yEYNTf4etMgJ96jHNIqEedNaBazmU51OaQZ8P0stdNLovEX3QJvxu7Ooar/SZ2GWJ/ycSwbbAzE2LqKkQ1UooXqE0L0/hAjF4jGPpE33mjWFGvYbx9PzFNmceHiYfHEYD9vuf+/oau83SRagbckRwOnt9PKThz6uBopLlkyNlRUTE62+pUmI6T9wNMhmUgwFSU42HC9B6io4dOpxN5XiVAvdfgQM6Z29tb9vs9uUmSdh1SlMf3Dzw8/ifdUHUcYis+t5pDYCyjY8FiICDMeQbVqn2tiFSdjBTQVCf+6LQZkjbUH89EhCLi220+swShKrTJ7NoQrW+BBKHWn9pqWZYV9peNge25fOqYWfatokPeYLmV16wRhG0QRdJ6ctYwIqT2ul0/mLX03cfP19/4vOv9tezqGK72m9hljeLF3O0zqKXtA7y+J5iKI4Ym4zRnjEI/9Ny+2juFd4V+zpNxOs0c3s2cjhPH44gK7G93vP5mz+tv7uh6IxPIsyISlu5ms8Juv2MYekfsxOiSmAZS6a5RGE+Z01E5HQ0dwbUIDAI8vntkPHxLfGU1olAgst/fcLN/xY8//Z3j4UTXDYuAz2kaawpEllW8waKK1w2ddyvPJ7qu4zQeWSQrS0BmRbMRVMg6Y6LeMJcC9AnrIgWrVOSJ1CU06dJY6AwPa7+EF5cVQk0lRgjeKAFACUAKtX5R0V5VMyO032+eL6hSPm8cbRcYn9pn0MbcufqfnY3HNU1VI8DFOTbH4Hoda+f2GhW99P3rG+cvf6uGtku7OoY/iH0y2qFtdjn+vvLK5cn5PDPetw7h0kE8vZ7LmoTW1Z056lHVZTKLf1kpRp6NefKC7/6bPXf7e1DjdBx5eH9kPBV3DI8T01RISXj1as/r727Z7QOQmfPMXAohJE6nE6djXrqPwUgpOHQz1kkqFEcoxY6SA8yC5kAZ/R4EEcQCwYTHB+N0yty9viHPoEUIkrh79a07H030/Q3jybUaTqcTpWpB5JxJqWMYBtS8e7qUwvevv+f29pbp7cg0ue5E6nZMx4nxMJOsIxSB4pxLEpQYBPpI2HVYn8haFmdHFLrULQXsywnYuaJcHlWiK8jlnL1mFSroIEakCSSpQUj19xZQoxfXuM6LDsTlQPlwH8DHehrqrh8cd85JtXaSu8hTQ0H7cbP55C9JiOmyJyIQ8LEhIgulu2obr6WOx4+c/zPn9nuwq2O42j+9laxVZAdyzjw8HEAi05TJRbjZ7wmy43goHE+PPLw/MI4z86SMY8EMhh3c3d1yc7dj/6ojJsVwRlKtmgOmayPcbu8iPWqZYoopvgKvNBkYzCfhdJx5fMiUCS/QmrcomDpt+OHdyOl+QOgZT0e6JPzw97f85a//wvd/2vPu3U906YGUEpmqIZ2E+7s7yAWrOs1zcWTPOI7knHn7/i0Au/1AjB03u0R+eOT4/rjAX3PJtTcBV3uLQDDS0CEhOL13VeAz8Un22WnLXIbV1x1VNzoZXXGHUjBihR5bLVJHGvW5NbaUD9rHUUhfMGBYJ2oJ5mJM4fmDJWlMv01TImy209o3U/U9IkzjS9Dbfw67Ooar/S7t6WRw+dA2Ku+N6Is6jcY8G4RIyerF50fhvU4cHwrH03vvCSjeLBfp2N8rr7+54/Z2IHQRSUoIhoqvFnP2RjSHiXoH936/p+sSSGYuSsDqCtxXyTob81gYjxPjY6ko3EqspzjfkCo/vnmHJE+BnY4F64XxBN/c/4W7+z0/DP9J1ve8f/+enx7ees1BZ+5f3W7oL3bMD5NHD6o8PDygOE338XhkAkIOzGNGLKDZakoM2jwXk0N+sxghCiZQxLW448WEebnyLdRcfIRg0VMvFrFgBAJiePooKxINrHNnMjfq7XOVtV/SLgkeQ8yEYIRQo78L01i3jU2+tVWdfcwFdYfh3duXaSJnwzp761pjuNrVvtyeOoYPP0FN3Cbn7PDVQKXCMCQKppF5GpGgmGXKAs2N3L9+zTd/Lrz+5h7IzDojcRUN8sYzKE3IRrxBznP7hRSjz/lmywQSFeZSGMeJ8ZjRDEh04RuzBc4pAqdD4X/+z5/YDR2mCS2Bw+NEnoUgA7c33/J48mL3w8MDOWe6wQn1rE5upRSmaeLu7m45j6YNcTyOlNFTSExC0gSl1KKqS4BGzbjGtct9FpxUsOXU1Vp3SZ0OLxxDkOBpo1YHUnFRoaZjYYrG6OptClaKCzqF8kmdz5f0Kufj5PNbp9cO8EDqfJKPdeI/Q1kBWWZaR3mLMOo3+7GyR5OEGvnIJVzp8nyvNYar/Yqmz42nFWKBaDjjb7/kp3myPr9cJT43T3sy1j/fPE/P5notctYJ/cypntvHV1pncNXl5JI3aBG8D1sMKwY8UiwgFh3KKop0xqt74/67ieE+MMcHQkig5qgSU4IMFJ3pteNweiQWY9gnhgTo6ApuKVAIzLlSQBDJE4wPyuGtcXrXITnjihaKSyMkTATo/TpGYyrQ9YKEzKyPTOWAyp/ohtc8/v3f+enNSJkD0QL3d3u+ud3zyMRBH/np0HOYlLu0o4uBOUBn8O7dW8Qit3OPFchH531SE4oGn+hLZBqgMyUBnTjfFGZOgCfeexFxiKmEsPwyzQ9InUaW19G3MyqdCcFrCzERi7/nNBoBLSNYJScMQqmFbSpnFUBsk3Cd0KOEha9Kq7reUjNojnGpWeVlQvf38kZa1Sh9dThBvAv7ImgIjfoDMJxg0TYNDmJeU0IFC6vWOMUjpeVm1aH/pCfjwn4nJYarY7ja17OXkCE/p2/hS85j+SsRU0W1IBH6IbG/S/zp+1vuv72hcFz29cljPY6qkisSyCm6V11oSbVo2QqUdVKYpsLhYeLwfmSeyhNXWErxSVaqgpn4ajMUkAI5R/7xjzf86fu/sNu9QoLWaMd7HZqcppPsRUopC3lfK+CaUWU5nawPINfrW+RRQ3Ca8VIIpSCleIE8pEqjHpYOZ6mLgIaI+lRr0UtL+RlGVsWKiykpTkwowfy7DSSGxTGIuJ5GuIgYQtXXkFqnKEUX1BTLuTaKFb8WEaPvB0eNxUiIQk5btTz4WAjj97wVqH2QLJ38y3j77ZrSvqZdHcMfxMIzY3ETMPzi9hJs8HNhhT/HVg0I6nfFZZXX9z33397y6q7j1euemFad6iZO34Kppl08zb7K7PqOlCKS2FB2KxJmurqqLSdlOhYeHyYeH2bQDjinfHDiPMGa5KkpKnjvRS6EVPj73//OX/76N+xeSN3MsIO55Cpd6roL06SoBtDMfj8Q8NqBztkjEnM67Bijczi5Vg6YKyB47UDIqmgu5JgJZl5ojg5DtSCotVTORUpn+fO0BrHtMA7mNCBmruvgK/3sk2loDlbozCA4LbjzWsWlx6Clr2KdeDUXdJ6JeaUPWdJoddsQAsYaIcSYSMmdYeORoms6IbDWq86u5uz4a2x9/l3Lb9u2ewaC/c9kV8dwta9il7DTD3HWfOjzr30u20nC1IupfZ+4+/YVr7/Z0+8BCsdxpJRC3/cLQV07htcXCsUmUhqcIiLUzxpSx4QoXsUVE6ZsHI8T0zGTJ+WDfA/t3OoEDoapN9NN08zbt2/5t3/7H/zww38y5/8glwMpbdIpIZFiRzYBJm73d8QYyePkmg6yQndTdKfjOX+jBIeNFm3CQjUdqIaFyvjqlRDEhFKdCxcT78ccw/ZvlbhbnLMFo9RejpBcH1vM0zkisvRRhBqRGe6QQm2KK/OMUXW7c0ZFIdo2WFgiP6M5hVjJ/6SisKT+KxfnfjmY0jKeHBLdCtc1ylB3rtYiok20eXUMV/vNLVYFsDaAl4n4C49nzzXqXKyQzgb/cyHLR2zRbv6Ig3gON7+eyvpaL+ol256IEALZnBJjf3fDq7uO4SYQ4kyhkHOdSGMkhFL7B7wIeTqNqCr7/Y5u6EldbU6LEGJcyO5igBQj+VTIk1KmwOk4V/SNPPkRWv7dIwdoq0+HbkbUCrnL/Pv//Den+ejfOFuqCeBaC/Nc2O/vePv2LV2KpC4SLTCJYEWZi7rmw1K4reiZYpWnyOU5zdQdBo4cil2qaZk1umt9DM5PZehGRQ6eHytnY0OUGAKSFNNENCPEwVfVVRbVWhNZDOxi7X2QlgKrMk9qeMhBbairv0VwJ7AdT0uE0/S0a9TgUqdWz12X+tSHJnLTsLzv6Sc29zMQJTDPZXEIzz0f256PT23A+63t6hj+ICa6Ti7hmRTSs8XpX9guJ/Vfq8awfQBzztAXbm97vv3uhtv7ntR5ntt7FBIp2Vl+Psbkymi4zsL+ZvOYxOgTuxlz9q7hjohpYBoLh8eJh7ePjAdgQfu8YAKt6mnmxVw/n4kQFZmhdMo8NYEg51662d8gPGB5RucJiR0xBDAj50Ik0qeeUCFIMXjNoPH6rLUYIajXOloNoaGWdHs/tdVFWNIlz9lT5I3VfL+4k+i65XvbDRCROmk7bNZRVzUFOVmtiyhUYr62+JE62Fu0sKzkzxyEU4P4pN40slukEDYr/d8HIuj3YFfH8Aex7cP4PCro112JXNYU2qr4Q+fxS52fqhIjvLrrFqcg0Wmnx9mbsfp+Rbm0febZYYq73Y6+h6lUp5GErkuMTd9ZhDJ6imQeC9NRXYbUvEdA8/hyrbZlXMywIsTY6hsTEWXXDwg7sBEtufI6nXh1+3opqra8uxP1ZcqklUqjp0xHTL020ZSaxfyfmr+wNsGqQ2lbDBA4dwwAUqVNN3mTj1+eQKM1h1jzNRv4T+0cbukjrUVpVWWuzYJqXlOwOWM5Y5qJplhcdcJbXeI8lZXPHIOPS2ipLVNZnMIvneL8Z7KrY/gDWQtdnwWOXD68vxIyaHUGn1aDWE/vy8+v9TWApw5uXk3cfXPDsAuYFOY8Mmupq/TB5S2rVGfrCZjneZHqzHaqqKNATGldhXZegJZjFRaaYRxL1TbGm7me0HB+7KZ54cJqgRaRqgW9I8jO9ZHVKCXz7t0D33zzDSEE+iEx9InxNHN4eGSefDL14riL6KgELDjFRS6tjuJn51pFntZSVZfttLXM+sQxbFA8stRIzu//1tbegJoykuSAgNCKFCvltYmSxaOCKTsvVZgdVWalYKUQzIi1SVDD6qBjDEsRuZ2fmSyoJ5HGqrutBdQawfLcXDa5/T5SO7+2XR3DH8TyMn4rJpvzcP+yD+GlqepJNkB4irQ4Q5+8cEA5V3QTqXn2tp+cNxaVJqXJ88c/Rx2dnSlzHp3tdM58++09335zw7evvqELHYfxxOHB9ZC7XWDXKeiRKBFFmGdjmmYvVg5g8QQxIxLpu4EQfLW86wNm2dWa98rhsXgq6UE5vQueDpq9XWw7uUi9aGGFcqolsFoQRdA8o8mV2yiBHAJTMcY5MM8BkZ43/3jHn/88koKg85Hb/b/w/qcDQaomcwpOf23GHDv63phl9DRSgSgQS4QSIWRfv1eFO7VCa+5VlBRrY1eo0FrpMBmADtPgcFpZUziNOmKtEVRoZ3DgbKgT+OJYah5fFaQYzCAZwiyO1Jqmmj5yltbCjEanDA9xISNCpSxOqLnkrtT7bAXB6LpEaaCCWmD3/f18lvh2qQ/EqqdQ025qOJrWacOzOATaSx/GpIoSyJgrc8gKZtj+/ZBdkvC9pFn9S9nVMVztD2dtcmj6DN//6c/sdzc8Pj7yjzf/4HB6ZLfr2MU9qavyn9kYp+J0GggpuYKZmdGlfsmBhxCX+oNIQNWpL/LJmGePNlZTtpTMn2LNmWspuAhcQU7esZZzpmQjl4wpvHv7wF/+/K2ns0pht9txeHxECExTxszPuYtrkbVNyFtruIH23SFGV2ALzSnrR69gLfyusNYQ4hIdxnCe82/7tO8sTXNba39G1a7QXIV+lkh4jTqlUlNs9SE+JcrMOXvTnbXU4adMvB9Jf2oDfFiNPs5Tuv+smamrY7ga8HQl82Rh85UH+M+tKZztf3aodWXW9659fDoKp+MjP739gfeHA8RM1ztldkqJm903PD4cOY0HwJ3Jbt9DdB2GGLqaqkiVgsInaSxwGkfCNDAdZsaDUaaWOlJMXK3spTTZMuEpC2TTFDQbmnB0VBHmMdfv9czP2zdv+dtf/8rruzv6lDg+/IhlgxLQybubpQTmbkaK59N9Nb/Un88K0aIr0Z3VDJHV5j0zFhqPLVafOvmt0UJYEEtLP0EMZ9e6hX96nl8RFYoqYsFrIWprhLCJFpbGssUhPN9PsL3XDgumebDl/RAC5UVGjctxuqL/TL3nRYsTIqr3H3r6SnXT9Pbh3/658/092NUxXA14xhH8wqnVX9IxSJClB+Hdu3ccjjNzPnI8vfOO5+++5ZtvXxG7JtAidcXnzqTfDex2O6acCSlgxZfZVvw+RQnkEinFeHw38/jDxOFw4vRQ0LklwHSVdHzBGq2CmlXnEKB4zUMmgaBEyVXToNZPivL+3Yl3Pz6Sdr1HEtn1H44HRYvTomoxOoyYvGgQg6c3tkixpWmsTtjBKgR4m5JknVD10jFYAAt4p4TTW7SOYHBVuHXF76tqM3VYrBlSiqcO1SkrKFA0oxWBFLQ5kwK0aOF5MMOTibVeA1QqDvMeFMW+YLHTGhKrzrYZlquDqGy57hTcCVORXh89vwu7Ooar/aq2Yvvba85eP93h533fSxP/z30AzvbfonrqCrQUh5IeDgem+UDRzM2t8M039/z5z98Rk5JtJufC+/HE6XQCUVIKdJ0wzyMx9YikBR7pDWaedy4lM43G8aC8+2Hk3dsTKUUoLSVTz+0pwebZPTKz2jRXnGSPgFVqCgoLn//pONGnHRYFnZV5zjw8wo9vHvgv//s979+doCSm44npWHcqhRhhZCZaIkYhz2UD6fTVvtYJTIL3QEhKRBGKVGI8OT/nliZqv0PrIr7E62+jiLbyb70fLVpQVSzPWKkUH+pOXbNtlOhgKeKLU4P4d9kn5eC3IzGbXrjr56O3bVRzDn+Ny9jycWaUDHkycjZ0Viy32tHTZ+CXfi6+ll0dw9X+kBZr+qKUQlFjGIR//dv3/MtfXyMhk0vmOJ5q+O8qOn3vTWxIJWjLwSeCqVBKpk+BNAx4p0HHOGemg1LGABlvCivUdqxaWzB4Kfxq857/dUoK1Du2RQWJWhFUnhrKY6ZkgWK8/ccDw//xN0ZJvHvzd6ajonNdXccJUiJHyME5mwK21AIWpNjmXCplkbOotqBAGo9QXWBwnj83k82/GlVom+SEUpERWqjd3Vq1sGsjZi6VeM6WdJILN2zOTRq/60Lhx6esXrZ3XjfF5dbX89wRLpvz/EJrUbuehqqnjnQOaCmo+u9hGf+d1O/153O//j7s6hiu9pvY56aSPncl5atUn3iGHXz73Q1/+v6WblBMMrlCUrUISYT9zcCw7xGBYj4RK15PmEbFKJ4mECHnQinG8TDz8H4knyqCSKVuA1h7tIRLrqQnpktlxEFlVTMYNUqxKh/paQtv9BKCRUJS3r595P3bzPt3Mz/9ODpxnri6nIsG+fnOwfmGYoo0uPBSiK6/xbYILRW6abUpbi1abziDNjDktrq+/K1EZEEltW2a2JFLpBqis6ePSqPhLk7Pjae5WH1YtTV6eMk5WE0dtb2W1wv86On2ZwgieebzGsmVuVTlPdDsAAYzkFbUtgDyggrRM+e7td8qgrg6hqv9JvZLOwZPXShdF7l73fGvf/uem9uOYieO4wPQ6guBfujoO+dCUpuZxkIIHSKR03Hi8HB0SmwNWFHyWJhOhYd3B06HCUrnOfVl1d+guaHCIT/uGFpN1Mwq6w5IbfCSHCp/kTGXgua26oa+75lOI//3//XfORwmrxjTKKdrysZmVH3yahw/2wlcxOsaZytbNcezPvMbiOCaF8LiILbRwiUSxx3tNj3zNMIIaqhp7Z2wmquvKCXZ/vabs/wEpwCuMNEm/+YYVnf2lMnlMpV0Nuw256zq/SpaHUMphubmtN3zXHJIfYpdHcPVfnVrD/YHPn1h75cn8ieQwk0e2qpW8frAfb0iXGCmJkkoCFqE2EVMCnTCX/+3yDd/cg1nnaBMHSU7GVuMEU0dOSSmXDCUTKYPgWiFfPqR6fgdZc7oNxHU0DIzHUYefzpRHhLGvN4+J/U5v5aXOPg3BVJrVA0GUoIXNWv0oaxMogQY8wwp8B9/f+dfH6Smf1yIR7Mjm8yg7wLY2iviKp5GUKMEqfTXVYnOjGiNrFswmUGiOzwLdNJhJYAlTKEkqwGSesOZqRelK8oqtHK8VWnPWksIFQGV8p5S5hpB5Bo4NadjziBbzwVqzp9QEUqXyZrze30GtLW1T0DWt7Y/BK3BbW10O3hRXSphXgmU2ZhHKAVsrONe3WGzPSPRFf21nN35+ZWFGrxBiS9rHlfHcLWrfRXr+56smRjh/v6Om33vzKM1hTHPMyV74bDv+9ox6zNp1kxKvUtwzqAlMU0z+Xjku/GGYegwE46HifEwYiW+fEI/01rBttmXND2ZruiiJY0UGqfU805fav5IWAvLa5RQWVhN/K969NGKzEKd6EzgQhUtmCOErKbF/HepHEhWPq2gvIHKfhW7VOhZvsMpPEw9asvTTJ4hz546kkaj0ooPX2JLmu73Y1fHcLV/Cvt46skLs63Qa6aozdzeDnz73R37fVgKovM8L2R5IQT6PtF3goWCVscRZEeeAtNhYnyE8WSM08zxIXOz20HuOB2VaaKupD8vj/y59jXSCV7o9RSXp5SsIonKs3n27Xdv/7WPFkSRBoyKEop4/0FNoMmFhnKj2fA8vVV+qrXFrHWCbylU1prGcnbLtlsY7eZbzq/lkj3y0gGIbt5bwz53fJ5qNCptSE3lqTqleXNOl2wAHz6bZ2zjFH4viCS4Ooar/ZPYy45h2RK1TNcL3353y7ffvWIYSu1aTozjiAv2dKTU0/WJmHzVN4vQhY4yCafHwuHNxNsfZx7fOfTwzT8euRl2zHPh+DBD9hXxF64TP9l+dt7Z3Cm24rmIoSKIuL4A+fnvaxGDU1k0x1v1LdR7JKyulIuIC/8E74MQ8WJ3o8Foqf6wcQ6o1qKzM6dq5Wv6FMfg5/dyrerFUtZHnIKqIkRMxVFUs2IlUHJBS42WROvkvtZ3zg5/0UF32dvStl4d7y89mj7Nro7hf1FbH/72+ucf80MdqNuaQtvmkhPm51jJSkrJGThNEZTbfc+ru4H9TcRMORycH2kcR3a7nmEY8G5m84Y1MEFaxQAAHphJREFULaTQIaHn9KiMjxMP7wuHd0qeATXGx8y7tyNYYT5lL5yGsCi+rdf71S4N+ARHYOt0sxSAWX/bUgyNnrKZZ6HvU+0HaP8c+aOK6zWE9bdCBJFYc+5e8DULXngtBqSahlNEA42Ir5d01tvAQoJXaSka7UWBkBt1CJyhnurrj1/7eQTw9N6vKbA2DtvYb+e3fhYXQIJWRJf3ljjKKITAPHtzYKjpMXmGMHDb1Z0knb3efr+Pn/W3/b04Bbg6hqv9ina2Ev2qtj6cEoxXdzu+/e4V3373iq73lejpdOLdu3fEKNze3iKhdvm2TJBGNBdO05HpJBwfZsbHjBZnSIup43iYefvmPVE8xxzabPr7yQB8wAK28cPOupqJxbUdvDfhw/n6Ff7qqByf5MCskuEZC0ljgEVkp/VELH0LuThCas4VxVMqs+umiCwvi9nApsbw4s0/11uou9UJemWIlUriKLgjcCex9lpYpf/uugr3TX7cmLqLe9UcjX8uJS6Opy2GziCx5ffjDLZ2dQxX+1XscrX0Na095OCrwN2u5+5+z+3tgDIzz6VGB5G+T6QuMM8jAKozXbon68x4+v/bu/8oS8r6zuPvT8+QGUEFFeJBFEcjiiIIOrDBBeIPEpNgolmJhGAETTBosiSblSxZViXJ5gRPkpU1xCWswQEk/kBNNOKuGiI/jILM8GtQRA0Oa8CTxGiGHzMMM93f/aOqh/s0PXT39HTfOzPv1zn3dPVTT1U9z73d93OfqltVm7jv/o1senCC+/9tMw9t2AJbun/wMcKmjQ9z3/jDZKz/+udYURNbHqtpO8S8n7MaY2JiCxMT3WUrliwJsJQlW8YZW9KdN1GPOiP4EZO7SbYev5l45I2vu452H/j1SP3UI2+AgyOE2tLdl7r68xYmJia/tTV1hDD487GOMcy4r+hRX0GdnO7OdRnbeuZ2TUxe/rsLhWSsuzd1f5C7u2r35ImC/d/b0qkjlsmw6tY1NjBimDwDvGkH9aiyUWAwaFEMjhZ29D/A5Cda6C4zNLYEli7tbswyXpvZsGEjmzd3l+LuPi137Vja31N4fAts2jjO/fdtZMP9G3ng/s1s2ghsWUJNwFiqvwxC+k+6j3wrNYtxbuuU52uuz15tPcbQLTl5W9XuPsjjZLw/6Mv0l0gZ3N0yue+9W9/SrSOGQWOTXwvt97FNjI93J9lt3txdW6j/NhITRSoDwUP3DaBH7Ura/mMMk/UH33wnP6QMXu5iLEupse7S32w9q7q/jwOTu30g/Vd+xyaPJ0zZlfSoYwx9GGw9aXGyvG/3xKaJrW2aPOlvFBgMu4mJyb/uyf+jKSPwsYw99qeW/soAW2+uMvmJZ/L/ud9tMLja5vcp86duZ6avaz/qfhLNP+AWum++T1ATcP99D/LDW57Mxg2bGU93Rc7ly5cD3W6UsSzpr6vflT3w0EYeeHATD21YykP378Wm+zb1u03GmRh7eOunwy4GujfQcaCWTF5Mbkrb+vZO7raY8WJ62/yo3j0m77Xc7QKZ3Z6rwedzcnfL+Hj3Jsf4BEv32INlmWA8sGkJZPMYY1u69Y8RamkXIEuXhqrNW8/sntjSXbJiScaYoPv0vHQMliwrluyR7s2VfhCxpbsY4Nj4ErK5WDLe7crZtGnL1oPT3R9GewJg94Y/+DcyPmV+dxG7Gu/Oa2jnTXl2puy+6Y4h0O2GGnvkeNfExKb22Fe6UBjj0buKtj7HTO7EnOjPrp6gxsJEHjleMvht5rGJydHnkq7b/XkeVd05J5kIe0zs0V/hdjLEhzOKMBi0y3nc4x7HD/1Qdw+F8fHxrbsKJi/iVlVb76kwMTHBhg2b2bjxYTZtmmDLlpE/YLDTmfyK8OTXhEfJ4P3BF+Lronvs8UiwTAZDJg+Yj3fXxZqYmHjkZ39dqclzbmZ3v4gdL6P2QkmShms4cSRJGlkGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhpLh90APdq+++5bK1asGHYzJO1i1qxZ872q2m+megbDCFqxYgWrV68edjMk7WKS3D2beu5KkiQ1DAZJUsNgkCQ1DAZJUsNgkCQ1DAZJUsNgkCQ1DAZJUsNgkCQ1PPN5BK29Zz0rzr5y2M2QNMLWnXfCgq3bEYMkqWEwSJIaBoMkqWEwSJIaBoMkqWEwSJIaBoMkqWEwSJIaBoMkqWEwSJIaBoMkqWEwSJIaBoMkqWEwSJIaBoMkqbHLBkOSFUlun6b895Ic30+vS7LvNHXOSPLGxWinJI2a3e5GPVX1zlnUuXAx2iJJo2iXHTH0liT530m+muRzSR6XZFWSEwfqnJXkK/3jOQBJzk3y9n76zCRfS3Jbkg/3ZY9P8oEka/vy1/XlD0yuNMmJSVb10z+f5PYktya5drE6L0nbY1cfMRwEnFxVpyf5KPC6aercV1VH9buOzgdePWX+2cCzqmpTkn36sncA66vqUIAkT5qhHe8EXlVV9wyso5HkLcBbAJY8cb/Z9E2SFsSuPmL4dlXd0k+vAVZMU+dDAz+Pnmb+bcDlSd4AbOnLjgf+bLJCVf1ghnb8PbAqyenAkukqVNVFVbWyqlYu2XPvGVYnSQtnVw+GTQPT40w/QqptTE86gS4EXgKsSbIUyDbqDpYt31pYdQbw34BnALckecqsWi9JQ7CrB8NsnDTw88uDM5KMAc+oqi8Avw3sAzwe+Bzw6wP1Jncl/VOS5/fL/dzA/B+pqhv6A9/fowsISRpJu/oxhtlYluQGupA8ecq8JcAHk+xNN0p4T1X9W5L/DvxZ/3XYceB3gU/QHY/4NPAd4Ha6EAH4oyQH9eu4Crh1gfskSdstVdPtEdEwLdv/oNr/1POH3QxJI2zdeSfMeZkka6pq5Uz13JUkSWoYDJKkhsEgSWoYDJKkhsEgSWoYDJKkhsEgSWoYDJKkhsEgSWoYDJKkhsEgSWoYDJKkhldXHUGHHrA3q7fjAlmStCM4YpAkNQwGSVLDYJAkNQwGSVLDYJAkNQwGSVLDYJAkNQwGSVLDYJAkNTzzeQStvWc9K86+ctjNkDRP63bSKxg4YpAkNQwGSVLDYJAkNQwGSVLDYJAkNQwGSVLDYJAkNQwGSVLDYJAkNQwGSVLDYJAkNQwGSVLDYJAkNQwGSVJjZIMhyaokJ85QZ12SfeexjWOTfDXJLUmen+T27V2XJO0qRjYYFskpwB9X1eHAxsXYYDq7+/MuaYSNxBtUknck+XqSzyf5UJK3T5n/yiQ3J1mb5OIkywZmn5XkK/3jOX39/ZJ8PMmN/ePfT7PNXwFeD7wzyeVT5i1P8oF+ezcneXlf/pkkh/XTNyd5Zz/9+/36SHJWv83bkvxuX7YiyR1J3gfcBDxjBz11krTDDT0YkqwEXgccAfwHYOWU+cuBVcBJVXUo3V3n3jpQ5b6qOgq4ADi/L/ufwHuq6sh+3e+fut2qej/wKeCsqjplyuxf6+scCpwMXNK341rg2CRPBLYAk4FzDHBdkp8ADgKOAg4HXpLkuL7O84BLq+qIqrp7mufhLUlWJ1k9vmH9Np8vSVpoQw8GujfVT1bVxqq6H/ibKfOfB3y7qr7R/34JcNzA/A8N/Dy6nz4euCDJLXRv/k9M8oQ5tukygKr6OnA38Fzgun7bxwBXAo9PsiewoqruBH6if9xMNzI4mC4oAO6uquu3tcGquqiqVlbVyiV77j2HpkrSjjUK93zOPOfXNNNjwNFV1Rw3SPJZ4KnA6qr6le3Y5o10I5q7gM8D+wKnA2sGlvvDqvrzKdtdATw4Qz8kaSSMwojhi8DP9Pv1Hw9MvXv214EVk8cPgF8CrhmYf9LAzy/3058Dfn2yQpLDAarqVVV1+AyhAN0uo1P6ZZ8LHAjcWVUPA9+hOzZxPd0I4u39T4DPAm/u+0GSA5L88AzbkqSRMvQRQ1XdmORTwK10u2xWA+sH5j+U5E3AFUmW0n1qv3BgFcuS3EAXcif3ZWcCf5bkNro+XgucMYdmvQ+4MMlaumMJp1XVpn7edcArq2pDkuuAp/dlVNXnkjwf+HISgAeANwDjc9i2JA1VqmrmWgvdiOTxVfVAv7/+WuAtVXXTsNs1LMv2P6j2P/X8mStKGmnrzpu6A2S4kqypqpUz1Rv6iKF3UZIXAMuBS3bnUJCkYRuJYKiqXxx2GyRJnVE4+CxJGiEGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhoGgySpYTBIkhojca0ktQ49YG9Wj9hVGSXtPhwxSJIaBoMkqWEwSJIaBoMkqWEwSJIaBoMkqWEwSJIaBoMkqWEwSJIanvk8gtbes54VZ1857GZIi2qdZ/uPDEcMkqSGwSBJahgMkqSGwSBJahgMkqSGwSBJahgMkqSGwSBJahgMkqSGwSBJahgMkqSGwSBJahgMkqSGwSBJahgMkqTGLhkMSbzPhCRtp5EOhiRvTHJbkluTXNaXPTPJVX35VUkO7MtXJfkfSb4AvDvJuUkuTnJ1kruSnLmNbTyQ5E+S3NSvb7++/PAk1/fb+askT+rLr05yfpIvJbk9yVF9+blJLkvyd0m+meT0vvyyJK8Z2N7lSX52QZ84SZqHkQ2GJIcA5wCvqKoXAb/Rz7oAuLSqDgMuB947sNhzgeOr6j/3vx8MvAo4CnhXkj2m2dRewE1V9WLgGuBdffmlwH/pt7N2oBxgr6p6KfA24OKB8sOAE4CjgXcmeRrwfuBNfZ/2Bl4KfGaa/r4lyeokq8c3rH/sJ0eSFtDIBgPwCuBjVfU9gKr6fl9+NPCX/fRlwDEDy1xRVeMDv19ZVZv6dfwz8NRptjMBfKSf/iBwTP8Gvk9VXdOXXwIcN7DMh/o2XQs8Mck+ffknq2pjv70vAEf163hOkh8GTgY+XlVbpjaiqi6qqpVVtXLJnns/1vMiSQtqlPfFB6hZ1Bus8+CUeZsGpseZXX/nus3B37dVfhlwCvALwJtnsX5JGppRHjFcBbw+yVMAkjy5L/8S3RssdG+2X5zndsaAE/vpXwS+WFXrgR8kObYv/yW63UyTTurbdAywvq8P8Joky/s2vwy4sS9fBfwmQFV9dZ7tlaQFNbIjhqr6apI/AK5JMg7cDJwGnAlcnOQs4F/o99/Pw4PAIUnWAOvp3/SBU4ELk+wJ3DVlOz9I8iXgibQjgK8AVwIHAr9fVff2ffmnJHcAfz3PtkrSgkvVbPac7LqSPFBVj59D/auBt1fV6inl5wIPVNUfT7PMnnQHsF88MLrYpmX7H1T7n3r+bJsk7RLWnXfCsJuwy0uypqpWzlRvlHcl7RKSHA98HfjT2YSCJA3byO5KWixzGS309V+2jfJzt1H+t3S7liRpp+CIQZLUMBgkSQ2DQZLUMBgkSQ2DQZLUMBgkSQ2DQZLUMBgkSQ2DQZLUMBgkSQ2DQZLU2O2vlTSKDj1gb1Z7pUlJQ+KIQZLUMBgkSQ2DQZLUMBgkSQ2DQZLUMBgkSQ2DQZLUMBgkSQ1PcBtBa+9Zz4qzrxx2M0bCOk/0kxadIwZJUsNgkCQ1DAZJUsNgkCQ1DAZJUsNgkCQ1DAZJUsNgkCQ1DAZJUsNgkCQ1DAZJUsNgkCQ1DAZJUsNgkCQ1DAZJUmOHBkOS05Jc0E+fkeSN/fTBSW5JcnOSH9kB29m6bknSjrVgN+qpqgsHfn0t8Mmqetdslk0SIFU1MYt1S5J2oBlHDEnemOS2JLcmuawv+5kkN/QjgL9N8tRpljs3yduT/DTwm8CvJPlCP++3ktzeP36zL1uR5I4k7wNuAp6R5IEkf9Bv+/rJ7Uyuu58+PcmNfZ2PJ9mzL1+V5L1JvpTkriQnTtPGFUm+nuSSvo8fG1j+lX3/1ia5OMmyvnxdkncn+Ur/eM7A9i5Mcl2SbyR5dV9+XZLDB7b590kOm/1LJEmL6zGDIckhwDnAK6rqRcBv9LO+CPxoVR0BfBj47W2to6o+A1wIvKeqXp7kJcCbgH8H/ChwepIj+urPAy6tqiOq6m5gL+D6ftvXAqdPs4lPVNWRfZ07gF8emLc/cAzwauC8bTTxecBFVXUYcB/wtiTLgVXASVV1KN3I6q0Dy9xXVUcBFwDnD5SvAH4MOAG4sF/P+4HTAJI8F1hWVbdNbUSStyRZnWT1+Ib122iqJC28mUYMrwA+VlXfA6iq7/flTwc+m2QtcBZwyBy2eQzwV1X1YFU9AHwCOLafd3dVXT9Q92Hg0/30Gro33qle2H8qXwucMqUtf11VE1X1NeBRo5red6rq7/vpD/btex7w7ar6Rl9+CXDcwDIfGvh59ED5R/vtfRO4CzgYuAJ4dZI9gDfTBc6jVNVFVbWyqlYu2XPvbTRVkhbeTMEQoKYp/1Pggv7T9K8Cy+ewzTzGvAen/L65qia3P870x0RWAb/et+V3p7Rl0yy2O7V/NUMbpy6zrWmAqqoNwOeB1wCvB/5yhnVL0lDNFAxXAa9P8hSAJE/uy/cG7umnT53jNq8FXptkzyR7AT8HXDfHdQx6AvDd/hP5Kdux/IFJJj/1n0y3m+zrwIrJ4wfALwHXDCxz0sDPLw+U/3ySsf6bV88G7uzL3w+8F7hxYNQlSSPpMb+VVFVfTfIHwDVJxoGb6faXnwtckeQe4HrgWbPdYFXdlGQV8JW+6P1VdXOSFXNtfO8dwA3A3cBauqCYizuAU5P8OfBN4H9V1UNJ3kTXx6XAjXTHSSYtS3IDXbCePFB+J12APBU4o6oeAqiqNUnuAz4w595J0iLLI3tqdj99GH26ql44h2XWASsnj7sMlK/q1/WxaZZ5GnA1cPC2voI7aNn+B9X+p54/U7XdwrrzThh2E6RdRpI1VbVypnqe+bzA+hPxbgDOmU0oSNKwLdgJbjuDqloHzHq00C+zYhvlp22j/FLg0jk2TZKGxhGDJKlhMEiSGgaDJKlhMEiSGgaDJKlhMEiSGgaDJKlhMEiSGgaDJKlhMEiSGgaDJKmxW18raVQdesDerPaqopKGxBGDJKlhMEiSGgaDJKlhMEiSGgaDJKlhMEiSGgaDJKlhMEiSGp7gNoLW3rOeFWdfOexmzNs6T9KTdkqOGCRJDYNBktQwGCRJDYNBktQwGCRJDYNBktQwGCRJDYNBktQwGCRJDYNBktQwGCRJDYNBktQwGCRJDYNBktQwGCRJjd0+GJKcmeSOJJcnOS3JBcNukyQN024fDMDbgJ+uqlMWa4NJvEGSpJG10wZDkr2SXJnk1iS3Jzkpybok+/bzVya5up8+N8nFSa5OcleSM/vyC4FnA59K8p+mrP+ZSa5Kclv/88AkS/rlk2SfJBNJjuvrX5fkOX27Lk5yY5Kbk7ymn39akiuS/A3wucV7piRpbnbaYAB+Eri3ql5UVS8E/u8M9Q8GXgUcBbwryR5VdQZwL/DyqnrPlPoXAJdW1WHA5cB7q2oc+AbwAuAYYA1wbJJlwNOr6lvAOcDfVdWRwMuBP0qyV7/Oo4FTq+oVUxuX5C1JVidZPb5h/VyfC0naYXbmYFgLHJ/k3UmOraqZ3k2vrKpNVfU94J+Bp85Q/2jgL/vpy+iCAOA64Lj+8Yd9+ZHAjf38nwDOTnILcDWwHDiwn/f5qvr+dBurqouqamVVrVyy594zNE2SFs5OGwxV9Q3gJXQB8YdJ3gls4ZE+LZ+yyKaB6XFgrvv5q/95HXAs3cjjM8A+wMuAa/v5AV5XVYf3jwOr6o5+3oNz3KYkLbqdNhiSPA3YUFUfBP4YeDGwji4sAF43z018CfiFfvoU4Iv99A3AS4GJqnoIuAX4VbrAAPgs8B+TpG/nEfNshyQtqp352zGH0u2/nwA2A28FHgf8RZL/SvcGPh9nAhcnOQv4F+BNAFW1Kcl3gOv7etcBJ9ONXAB+HzgfuK0Ph3XAq+fZFklaNKmqmWtpUS3b/6Da/9Tzh92MeVt33gnDboKkAUnWVNXKmerttLuSJEkLw2CQJDUMBklSw2CQJDUMBklSw2CQJDUMBklSw2CQJDUMBklSw2CQJDUMBklSw2CQJDUMBklSY2e+7PYu69AD9ma1VyaVNCSOGCRJDYNBktQwGCRJDYNBktQwGCRJDYNBktQwGCRJDYNBktQwGCRJDYNBktRIVQ27DZoiyf3AncNuxw60L/C9YTdiB9rV+gO7Xp/sz/SeWVX7zVTJayWNpjurauWwG7GjJFltf0bbrtYn+zM/7kqSJDUMBklSw2AYTRcNuwE7mP0Zfbtan+zPPHjwWZLUcMQgSWoYDJKkhsGwiJL8ZJI7k3wrydnTzF+W5CP9/BuSrBiY9zt9+Z1JXrWY7X4s29unJCuSbExyS/+4cLHbPp1Z9Oe4JDcl2ZLkxCnzTk3yzf5x6uK1etvm2Z/xgdfnU4vX6m2bRX9+K8nXktyW5KokzxyYN3KvD8y7TwvzGlWVj0V4AEuAfwCeDfwQcCvwgil13gZc2E//AvCRfvoFff1lwLP69SzZyfu0Arh92H3Yjv6sAA4DLgVOHCh/MnBX//NJ/fSTdtb+9PMeGPZrsh39eTmwZz/91oG/t5F7febbp4V8jRwxLJ6jgG9V1V1V9TDwYeA1U+q8Brikn/4Y8Mok6cs/XFWbqurbwLf69Q3bfPo0imbsT1Wtq6rbgIkpy74K+HxVfb+qfgB8HvjJxWj0Y5hPf0bRbPrzhara0P96PfD0fnoUXx+YX58WjMGweA4AvjPw+z/2ZdPWqaotwHrgKbNcdhjm0yeAZyW5Ock1SY5d6MbOwnye51F8jebbpuVJVie5Pslrd2zTtstc+/PLwP/ZzmUXy3z6BAv0GnlJjMUz3afkqd8V3lad2Sw7DPPp03eBA6vqX5O8BPjrJIdU1X07upFzMJ/neRRfo/m26cCqujfJs4G/S7K2qv5hB7Vte8y6P0neAKwEfmyuyy6y+fQJFug1csSweP4ReMbA708H7t1WnSRLgb2B789y2WHY7j71u8X+FaCq1tDtZ33ugrf4sc3neR7F12hebaqqe/ufdwFXA0fsyMZth1n1J8nxwDnAz1bVprksOwTz6dPCvUbDPviyuzzoRmd30R08njzIdMiUOr9Ge6D2o/30IbQHn+9iNA4+z6dP+032ge7A2z3Ak0e9PwN1V/Hog8/fpjuw+aR+emfuz5OAZf30vsA3mXJQdBT7Q/fG+A/AQVPKR+712QF9WrDXaKhPyu72AH4a+Eb/Ip/Tl/0e3acAgOXAFXQHl78CPHtg2XP65e4EfmrYfZlvn4DXAV/t/xFuAn5m2H2ZZX+OpPuU9yDwr8BXB5Z9c9/PbwFvGnZf5tMf4KXA2v71WQv88rD7Msv+/C3wT8At/eNTo/z6zKdPC/kaeUkMSVLDYwySpIbBIElqGAySpIbBIElqGAySpIbBIC2QgStf3p7kiiR7znH5B+ZYf9XUK6T25SuTvLefPi3JBf30GUneOFD+tLlsT7sug0FaOBur6vCqeiHwMHDG4Mx0Fvx/sKpWV9WZ05RfWFWX9r+eBhgMAgwGabFcBzynvw/FHUneR3di3zOSnJxkbT+yePfgQkn+pL9fwlVJ9uvLTk9yY5Jbk3x8ykjk+CTXJflGklf39V+W5NNTG5Tk3CRv70cZK4HL+xHOCUn+aqDejyf5xI5/SjSqDAZpgfXXiPopurNTAZ4HXFpVRwCbgXcDrwAOB44cuErmXsBNVfVi4BrgXX35J6rqyKp6EXAH3RU3J62gu8jaCcCFSZbP1L6q+hiwGjilqg4HPgM8fzKIgDcBH5hzx7XTMhikhfO4JLfQven+P+Av+vK7q+r6fvpI4Oqq+pfqLkt+OXBcP28C+Eg//UHgmH76hf2oYC1wCt21tCZ9tKomquqbdNfgOXiuja7ucgiXAW9Isg9wNO2lnrWL87Lb0sLZ2H8C36q/R9GDg0VzWN/k9WtWAa+tqluTnAa8bJo62/p9tj4A/A3wEHBFH1raTThikIbrBuDHkuybZAlwMt1uI+j+Pye/ZfSLwBf76ScA302yB92IYdDPJxlL8iN0V629c5btuL9fL7D1cs73Av+NLoi0G3HEIA1RVX03ye8AX6AbPXymqj7Zz34QOCTJGro7353Ul7+DLlDupjtu8YSBVd5JFyxPBc6oqodmeSfVVXTHJDYCR1fVRrrdWvtV1dfm0UXthLy6qqRp9ec73FxVfzFjZe1SDAZJj9KPUh4EfrwG7him3YPBIElqePBZktQwGCRJDYNBktQwGCRJDYNBktT4/12zAp2RzloYAAAAAElFTkSuQmCC
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<p><font color='red'><strong>Reminder for Workspace users:</strong> If your network becomes very large when saved as a checkpoint, there might be issues with saving backups in your workspace. You should reduce the size of your hidden layers and train again.</p>
<p>We strongly encourage you to delete these large interim files and directories before navigating to another page or closing the browser tab.&lt;/font&gt;</p>

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