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; }

    </style>
<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="o">%</span><span class="k">matplotlib</span> inline
<span class="o">%</span><span class="k">config</span> InlineBackend.figure_format = &#39;retina&#39;

<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">time</span>
<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sb</span>

<span class="kn">from</span> <span class="nn">collections</span> <span class="k">import</span> <span class="n">OrderedDict</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">nn</span>
<span class="kn">from</span> <span class="nn">torch</span> <span class="k">import</span> <span class="n">optim</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">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="kn">import</span> <span class="nn">torchvision.models</span> <span class="k">as</span> <span class="nn">models</span>

<span class="kn">import</span> <span class="nn">PIL</span>
<span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</span>

<span class="kn">from</span> <span class="nn">workspace_utils</span> <span class="k">import</span> <span class="n">active_session</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Device type check</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="s2">&quot;cuda:0&quot;</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="s2">&quot;cpu&quot;</span><span class="p">)</span>
<span class="n">device</span>
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<pre>device(type=&#39;cuda&#39;, index=0)</pre>
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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"># DONE: Define your transforms for the training, validation, and testing sets</span>

<span class="n">data_transforms</span> <span class="o">=</span> <span class="p">{</span>
    <span class="s1">&#39;training&#39;</span><span class="p">:</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">25</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="s1">&#39;validation&#39;</span><span class="p">:</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="p">]),</span>
    <span class="s1">&#39;testing&#39;</span><span class="p">:</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="p">]),</span>
<span class="p">}</span>


<span class="c1"># DONE: Load the datasets with ImageFolder</span>

<span class="n">image_datasets</span> <span class="o">=</span> <span class="p">{</span>
    <span class="s1">&#39;training&#39;</span><span class="p">:</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">data_transforms</span><span class="p">[</span><span class="s1">&#39;training&#39;</span><span class="p">]),</span>
    <span class="s1">&#39;validation&#39;</span><span class="p">:</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">data_transforms</span><span class="p">[</span><span class="s1">&#39;validation&#39;</span><span class="p">]),</span>
    <span class="s1">&#39;testing&#39;</span><span class="p">:</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">data_transforms</span><span class="p">[</span><span class="s1">&#39;testing&#39;</span><span class="p">])</span>
<span class="p">}</span>


<span class="c1"># DONE: Using the image datasets and the trainforms, define the dataloaders</span>

<span class="n">dataloaders</span> <span class="o">=</span> <span class="p">{</span>
    <span class="s1">&#39;training&#39;</span><span class="p">:</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">image_datasets</span><span class="p">[</span><span class="s1">&#39;training&#39;</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="s1">&#39;validation&#39;</span><span class="p">:</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">image_datasets</span><span class="p">[</span><span class="s1">&#39;validation&#39;</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="s1">&#39;testing&#39;</span><span class="p">:</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">image_datasets</span><span class="p">[</span><span class="s1">&#39;testing&#39;</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="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>
    
<span class="c1"># print(cat_to_name)</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><strong>Note for Workspace users:</strong> 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 <code>ls -lh</code>), you should reduce the size of your hidden layers and train again.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># DONE: Build and train your network</span>

<span class="c1"># DONE: Load a pre-trained network</span>

<span class="n">model</span> <span class="o">=</span> <span class="n">models</span><span class="o">.</span><span class="n">vgg16</span><span class="p">(</span><span class="n">pretrained</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
<span class="n">model_name</span> <span class="o">=</span> <span class="s1">&#39;vgg16&#39;</span>
<span class="n">model</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="n">model_name</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>
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<pre>Downloading: &#34;https://download.pytorch.org/models/vgg16-397923af.pth&#34; to /root/.torch/models/vgg16-397923af.pth
100%|██████████| 553433881/553433881 [00:07&lt;00:00, 71198993.04it/s]
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Class for defining a new network as classifier</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">0.5</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="c1"># Add input layer</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="c1"># Add hidden layers</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="c1"># Add output layer</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="c1"># Add dropout probability</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="c1"># Flaten tensor input</span>
        <span class="n">x</span> <span class="o">=</span> <span class="n">x</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="o">-</span><span class="mi">1</span><span class="p">)</span>

        <span class="c1"># Add dropout to hidden layers</span>
        <span class="k">for</span> <span class="n">layer</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="bp">self</span><span class="o">.</span><span class="n">dropout</span><span class="p">(</span><span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="n">layer</span><span class="p">(</span><span class="n">x</span><span class="p">)))</span>        

        <span class="c1"># Output so no dropout here</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="c1"># Classifier parameters</span>

<span class="n">input_size</span> <span class="o">=</span> <span class="mi">25088</span>
<span class="n">hidden_layers</span> <span class="o">=</span> <span class="p">[</span><span class="mi">4000</span><span class="p">,</span> <span class="mi">1000</span><span class="p">]</span>
<span class="n">output_size</span> <span class="o">=</span> <span class="mi">102</span>
<span class="n">drop_out</span> <span class="o">=</span> <span class="mf">0.5</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="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_out</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Define the Loss function and the optimizer</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): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (15): ReLU(inplace)
    (16): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (17): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (18): ReLU(inplace)
    (19): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (20): ReLU(inplace)
    (21): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (22): ReLU(inplace)
    (23): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (24): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (25): ReLU(inplace)
    (26): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (27): ReLU(inplace)
    (28): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (29): ReLU(inplace)
    (30): 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=4000, bias=True)
      (1): Linear(in_features=4000, out_features=1000, bias=True)
    )
    (output): Linear(in_features=1000, out_features=102, bias=True)
    (dropout): Dropout(p=0.5)
  )
)</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Function for the validation</span>
<span class="k">def</span> <span class="nf">validate</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">criterion</span><span class="p">,</span> <span class="n">testloader</span><span class="p">,</span> <span class="n">device</span><span class="p">):</span>
    
    <span class="c1"># Set hardware config (to GPU or CPU)</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>
    
    <span class="n">test_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="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="c1"># Move input and label tensors to the device</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="c1"># Forward pass</span>
        <span class="n">outputs</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="c1"># Compute loss</span>
        <span class="n">test_loss</span> <span class="o">+=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">outputs</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>

        <span class="c1"># Softmax distribution</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">outputs</span><span class="p">)</span>
        
        <span class="c1"># Calculate accuracy</span>
        <span class="n">equality</span> <span class="o">=</span> <span class="p">(</span><span class="n">labels</span><span class="o">.</span><span class="n">data</span> <span class="o">==</span> <span class="n">ps</span><span class="o">.</span><span class="n">max</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="mi">1</span><span class="p">])</span>
        <span class="n">accuracy</span> <span class="o">+=</span> <span class="n">equality</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">mean</span><span class="p">()</span>
    
    <span class="k">return</span> <span class="n">test_loss</span><span class="p">,</span> <span class="n">accuracy</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Function for the train models</span>
<span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">epochs</span><span class="p">,</span> <span class="n">criterion</span><span class="p">,</span> <span class="n">optimizer</span><span class="p">,</span> <span class="n">trainloader</span><span class="p">,</span> <span class="n">validloader</span><span class="p">,</span> <span class="n">device</span><span class="p">):</span>
    
    <span class="c1"># Set hardware config (to GPU or CPU)</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>
    
    <span class="n">steps</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">1</span>
    
    <span class="c1"># Looping in epochs</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">epochs</span><span class="p">):</span>
        
        <span class="c1"># Set to training mode</span>
        <span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>

        <span class="c1"># Looping in images</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">steps</span> <span class="o">+=</span> <span class="mi">1</span>

            <span class="c1"># Move input and label tensors to the device</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="c1"># Reset the existing gradients</span>
            <span class="n">optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span>

            <span class="c1"># Forward pass</span>
            <span class="n">outputs</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>
            
            <span class="c1"># Compute loss</span>
            <span class="n">loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">outputs</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
            
            <span class="c1"># Backpropagate the gradients</span>
            <span class="n">loss</span><span class="o">.</span><span class="n">backward</span><span class="p">()</span>
            
            <span class="c1"># Update weights</span>
            <span class="n">optimizer</span><span class="o">.</span><span class="n">step</span><span class="p">()</span>

            <span class="c1"># Compute the total loss for the batch</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="c1"># DONE: Track the loss and accuracy on the validation set to determine the best hyperparameters</span>
        <span class="k">if</span> <span class="n">steps</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="c1"># Set to evaluation mode</span>
            <span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>

            <span class="c1"># Turn off gradients for validation, save memory and computations</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="c1"># Validate model</span>
                <span class="n">test_loss</span><span class="p">,</span> <span class="n">accuracy</span> <span class="o">=</span> <span class="n">validate</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">criterion</span><span class="p">,</span> <span class="n">validloader</span><span class="p">,</span> <span class="n">device</span><span class="p">)</span>
                
            <span class="n">training_loss</span> <span class="o">=</span> <span class="n">running_loss</span><span class="o">/</span><span class="n">print_every</span>
            <span class="n">validation_loss</span> <span class="o">=</span> <span class="n">test_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">validation_accuracy</span> <span class="o">=</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="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">epochs</span><span class="p">),</span>
                  <span class="s2">&quot;Training Loss: </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">training_loss</span><span class="p">),</span>
                  <span class="s2">&quot;Test Loss: </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">validation_loss</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">validation_accuracy</span><span class="p">))</span>

            <span class="n">running_loss</span> <span class="o">=</span> <span class="mi">0</span>
            
            <span class="c1"># Set back to the training mode</span>
            <span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
                
    <span class="k">return</span> <span class="n">training_loss</span><span class="p">,</span> <span class="n">validation_loss</span><span class="p">,</span> <span class="n">validation_accuracy</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># DONE: Train the classifier layers using backpropagation using the pre-trained network to get the features</span>

<span class="n">epochs</span> <span class="o">=</span> <span class="mi">5</span>

<span class="k">with</span> <span class="n">active_session</span><span class="p">():</span>
    <span class="c1"># def train(model, epochs, criterion, optimizer, trainloader, validloader, device):</span>
    <span class="n">training_loss</span><span class="p">,</span> <span class="n">valid_loss</span><span class="p">,</span> <span class="n">valid_accuracy</span> <span class="o">=</span> <span class="n">train</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">epochs</span><span class="p">,</span> <span class="n">criterion</span><span class="p">,</span> <span class="n">optimizer</span><span class="p">,</span> <span class="n">dataloaders</span><span class="p">[</span><span class="s1">&#39;training&#39;</span><span class="p">],</span> <span class="n">dataloaders</span><span class="p">[</span><span class="s1">&#39;validation&#39;</span><span class="p">],</span> <span class="n">device</span><span class="p">)</span>
    
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;</span><span class="se">\n</span><span class="s2">***</span><span class="se">\n\n</span><span class="s2">Train Loss: </span><span class="si">{}</span><span class="se">\n</span><span class="s2">Test Loss: </span><span class="si">{}</span><span class="se">\n</span><span class="s2">Test accuracy: </span><span class="si">{}</span><span class="se">\n\n</span><span class="s2">***</span><span class="se">\n</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">training_loss</span><span class="p">,</span> <span class="n">valid_loss</span><span class="p">,</span> <span class="n">valid_accuracy</span><span class="p">))</span>
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<pre>Epoch: 1/5..  Training Loss: 348.250..  Test Loss: 1.529..  Test Accuracy: 0.578
Epoch: 2/5..  Training Loss: 207.902..  Test Loss: 0.975..  Test Accuracy: 0.728
Epoch: 3/5..  Training Loss: 179.377..  Test Loss: 0.740..  Test Accuracy: 0.796
Epoch: 4/5..  Training Loss: 163.567..  Test Loss: 0.685..  Test Accuracy: 0.827
Epoch: 5/5..  Training Loss: 156.456..  Test Loss: 0.630..  Test Accuracy: 0.833

***

Train Loss: 156.45615577697754
Test Loss: 0.6301977370794003
Test accuracy: 0.832980751991272

***

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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"># DONE: Do validation on the test set</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="n">test_loss</span><span class="p">,</span> <span class="n">accuracy</span> <span class="o">=</span> <span class="n">validate</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">criterion</span><span class="p">,</span> <span class="n">dataloaders</span><span class="p">[</span><span class="s1">&#39;testing&#39;</span><span class="p">],</span> <span class="n">device</span><span class="p">)</span>
    
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;</span><span class="se">\n</span><span class="s2">***</span><span class="se">\n\n</span><span class="s2">Test accuracy: </span><span class="si">{}</span><span class="s2">%</span><span class="se">\n\n</span><span class="s2">***</span><span class="se">\n</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">round</span><span class="p">(</span><span class="nb">float</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">dataloaders</span><span class="p">[</span><span class="s1">&#39;testing&#39;</span><span class="p">])</span> <span class="o">*</span> <span class="mi">100</span><span class="p">))))</span>
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***

Test accuracy: 81%

***

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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"># DONE: Save the checkpoint</span>

<span class="k">def</span> <span class="nf">save_checkpoint</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">checkpoint_name</span><span class="p">):</span>
    
    <span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span> <span class="o">=</span> <span class="n">image_datasets</span><span class="p">[</span><span class="s1">&#39;training&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">class_to_idx</span>
    
    <span class="n">checkpoint</span> <span class="o">=</span> <span class="p">{</span>
        <span class="s1">&#39;arch&#39;</span><span class="p">:</span> <span class="n">model</span><span class="o">.</span><span class="n">name</span><span class="p">,</span>
        <span class="s1">&#39;class_to_idx&#39;</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="s1">&#39;classifier&#39;</span><span class="p">:</span> <span class="n">model</span><span class="o">.</span><span class="n">classifier</span><span class="p">,</span>
        <span class="s1">&#39;model_state_dict&#39;</span><span class="p">:</span> <span class="n">model</span><span class="o">.</span><span class="n">state_dict</span><span class="p">()</span>
    <span class="p">}</span>
    
    <span class="n">torch</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">,</span> <span class="n">checkpoint_name</span> <span class="o">+</span> <span class="s1">&#39;.pth&#39;</span><span class="p">)</span>
    
    <span class="k">return</span> <span class="n">checkpoint_name</span> <span class="o">+</span> <span class="s1">&#39;.pth&#39;</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">save_checkpoint</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="s1">&#39;checkpoint1&#39;</span><span class="p">)</span>
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<pre>/opt/conda/lib/python3.6/site-packages/torch/serialization.py:193: UserWarning: Couldn&#39;t retrieve source code for container of type Classifier. It won&#39;t be checked for correctness upon loading.
  &#34;type &#34; + obj.__name__ + &#34;. It won&#39;t be checked &#34;
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<pre>&#39;checkpoint1.pth&#39;</pre>
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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"># DONE: Write a function that loads a checkpoint and rebuilds the model</span>
<span class="k">def</span> <span class="nf">load_checkpoint</span><span class="p">(</span><span class="n">path</span><span class="p">):</span>
    
    <span class="c1"># Load the all parameters into checkpoint variable</span>
    <span class="n">checkpoint</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">path</span><span class="p">)</span>
    
    <span class="c1"># Then set the loadeds into model</span>
    <span class="n">model</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">models</span><span class="p">,</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;arch&#39;</span><span class="p">])(</span><span class="n">pretrained</span> <span class="o">=</span> <span class="kc">True</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">checkpoint</span><span class="p">[</span><span class="s1">&#39;classifier&#39;</span><span class="p">]</span>
    
    <span class="n">model</span><span class="o">.</span><span class="n">load_state_dict</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;model_state_dict&#39;</span><span class="p">])</span>
    
    <span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;class_to_idx&#39;</span><span class="p">]</span>
    
    <span class="k">return</span> <span class="n">model</span>
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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>
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<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">img_path</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"># DONE: Process a PIL image for use in a PyTorch model</span>
    
    <span class="n">image</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">img_path</span><span class="p">)</span>
    
    <span class="k">if</span> <span class="n">image</span><span class="o">.</span><span class="n">width</span> <span class="o">&gt;</span> <span class="n">image</span><span class="o">.</span><span class="n">height</span><span class="p">:</span>
        <span class="n">image</span><span class="o">.</span><span class="n">thumbnail</span><span class="p">((</span><span class="mi">10000000</span><span class="p">,</span> <span class="mi">256</span><span class="p">))</span>
    <span class="k">else</span><span class="p">:</span>
        <span class="n">image</span><span class="o">.</span><span class="n">thumbnail</span><span class="p">((</span><span class="mi">256</span><span class="p">,</span> <span class="mi">10000000</span><span class="p">))</span>
    
    
    <span class="n">left</span> <span class="o">=</span> <span class="p">(</span><span class="n">image</span><span class="o">.</span><span class="n">width</span> <span class="o">-</span> <span class="mi">224</span><span class="p">)</span> <span class="o">/</span> <span class="mi">2</span>
    <span class="n">top</span> <span class="o">=</span> <span class="p">(</span><span class="n">image</span><span class="o">.</span><span class="n">height</span> <span class="o">-</span> <span class="mi">224</span><span class="p">)</span> <span class="o">/</span> <span class="mi">2</span>
    <span class="n">right</span> <span class="o">=</span> <span class="p">(</span><span class="n">image</span><span class="o">.</span><span class="n">width</span> <span class="o">+</span> <span class="mi">224</span><span class="p">)</span> <span class="o">/</span> <span class="mi">2</span>
    <span class="n">bottom</span> <span class="o">=</span> <span class="p">(</span><span class="n">image</span><span class="o">.</span><span class="n">height</span> <span class="o">+</span> <span class="mi">224</span><span class="p">)</span> <span class="o">/</span> <span class="mi">2</span>
    
    <span class="n">image</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">crop</span><span class="p">((</span><span class="n">left</span><span class="p">,</span> <span class="n">top</span><span class="p">,</span> <span class="n">right</span><span class="p">,</span> <span class="n">bottom</span><span class="p">))</span>
    
    <span class="n">image</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">image</span> <span class="o">/</span> <span class="mi">255</span>

    <span class="n">means</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">stds</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="p">(</span><span class="n">image</span> <span class="o">-</span> <span class="n">means</span><span class="p">)</span> <span class="o">/</span> <span class="n">stds</span>
    
    <span class="n">image</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
    
    <span class="k">return</span> <span class="n">image</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="sd">&quot;&quot;&quot;Imshow for Tensor.&quot;&quot;&quot;</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">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>
</pre></div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Test of process_image and imshow functions</span>

<span class="n">img_path</span> <span class="o">=</span> <span class="s1">&#39;flowers/test/1/image_06743.jpg&#39;</span>
<span class="n">img</span> <span class="o">=</span> <span class="n">process_image</span><span class="p">(</span><span class="n">img_path</span><span class="p">)</span>
<span class="n">imshow</span><span class="p">(</span><span class="n">img</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f8d1d5532b0&gt;</pre>
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g0WXAfChAyvvtvVW36H/JcCqLf93ZkQX4C9LpADwNGD9wD4Cdim4EcAvAnAXwHwdamuQrJkyZIlS/bq2OsJOUCM8UkAP/jFOn8AkKMf8kwnucLTlGH38hT/z2dolbajmJDv4Ma7SA/ou413655KzeOFJAR5FtyVKrbmu/KsdS9DnoCaUPFxn1+Y5/LQYw8DAG5cNUb4ngz3nvErEcvLchyrDmQZF3xf8U6xt7MA3/qqL+XpFco68Lxu3v00r5sv8j5JtUCtFC0ozicXkZ4l257Tez28eoxYKbuCHnMjbgQ9RnFGSsUd6SkKtaB3HuWFrYgwEDloyb3oPOWEt8Djq3nlqIuGQREUexcCoD7nmDokQkBPEHP2F2OmHYSQCEFifzO7UhkF8sCymA8aCvaCDePOh6vl5S5EE5vRcWp0RzSHyQsoyc1oz87se/x8rvlAxEEs9b7uhnRXeptKvcuv2LkOmNJXECnZkkPQKt1L4IzyB6XrIC/Nc+jF3ubfbFMfBm9Q9yt0Tv1RM2PoWP3CPm313WzMLVBcOK+VeTPOilGTGiIyQrDCLMN+w3FBrpEjH/LaNf8514RGCN3QfS7YX4UjI7xxpiV39JQbZiLM6d3PZ3Nfc2q2T5wDZWfp2jLN2R0zYZQaq2egFL1BZMNeFJLXWuAIXJsBweZcmZejfuj2GlNM4eXc+6b3PwoAeOBeQz//q//+LwEAnn32RbaFqZtcN0Ug2LFtjhQIHePEiX3vvAfPAOMgcv0KoVVCfdzHFlKiv8fphi/nzastvoZ3HXZ8vkJnl0xZnRM5kmm909gq5wVC1uDVIB28bpCDZMmSJUuWLNkfjL2ukIMvvkWEvv9dtkzKUx0zzMV0BXrPjb5EK+WZx0iBp8AG5b/rb3vxPHd66dpRS2FPcW7P21AT8nJgtnL3eEBhEJHrCwrPvPsr3m1/c9dcU5DHc4O5K3UPqGRbuRmvKLDTcqe89bzn1hENtUV5xqViafTOW3ptWzK4+3HpDM/GKJgJsWceuEzHqzv39HqX9GrL1czjcg2kbEh2+gG5CDtjPPdCIdjHLduuuHe+UKYA9S4Kxe7pWTNnep6TaczMgtADe+ZOO3KQS4DHznGxNy5tT2+qZEw5Zz91vJb4Aj1jxpKiEM1kL49J8UsxzruIMrP2iC2vTAdpI0gZMnOtCYkiMb7v40p5/9Z/yu6o5hqjjGHLNW8HVEzcmd3a+mNBr/vgBsWJiPj09Oj2EyGdim2DYvL08oYMEvtYCNOgRcF8fyIRRTUbYAham1H06cDaNOdrD8WnlX1BvQhOhIJZDsiYARDG3r50Ay6I2C0XS15n5n0peGJGTQBX9JNKIySOZefY0wMW96CU9gY97nxQcLP776W7YnYwZyw75K6FsaNehaN9nA/T7AW96v2M6Fd3l6rlGNXTvXb0imtpUdQdAhEOIV55oUwhO0VLuOrg0HQNtrdt/LzhimVa/ZHv/rcAAD/+438TAHC2NREt8T0uLsRpIVJHtDNyfSn5LHe7vSMEWRj/PDonZa+1Sllg1DngnBYnQc/OuQc0V0sNEtHj4XFYK4UMddvJOaSJICQp03ph46Ys8bsrLP4+LCEHyZIlS5YsWbKRJeTgLouDXKEzRMXiHeetDlrzjKOiQezFQJWyH48Vi9bZ1BMugtczUDx/HDts3YMQv4F5zBAHQV5fjp6own5HRvLM4lXf8/3/OgDgzfealtQj197K47iLVl66y/fTYyTXQDH2jPHtYsbYakfde3qtbdN6bFNexlzeJZnRmbQYuAMOii27vgHjt+QmKCuhZj6zcscV7xwUwrgrl7RxHpwHIiSgZBvmB8aMv3NLMXPeJ90Vjz3yGVaK45fj3PKO/VYScZgTqamoJ9Hve+enaFMvBnjB+2g4LjxLQciBuCb5RAdCJAzPRZfq3NhrjT3j28hcoW1LT1EZJIq51+RFlFS2k/S1Gu1jj+eumKWzIvJwZ3sxaqNGtmf95Jmz8OWtPvjAffY3MyXUt3UUYsBxLWU4AXNSjiNSp1jsfj9BoLIx/0E8iXI+RyOFyK15lQ25BkfUCpCWwEaIWCtlxLGap+aoy4xP7ts5LuxHKUsujhaOsLW9vG8iQmo3x+o55cfFC8iJMEkhM7qzqv7iPOP3GwpezJndVJbWD3VTO7KhPpvxGI3Z3dbGUKk+5Hc1J9sd709sfNeOtxfXh9H6Iv4R16lQ5UA/H92P1s2MGgpz8h/Wp0QByV0RV+O9X/UNds4ftDn9t/+uIQgvnn7a2npISWdpTEhBUeAW+223q309d90CcWY6IR/2ttZJ8YRAVK+c6FqIcyCajK8Bk6I3Ggtd2/lnev7KMjk9M5RTPJdsSd0UoqAxjpHVV2IJOUiWLFmyZMmSjSwhBxOLgHsb8va7Tp6CVA/tWOW/R+5Gyyq6XkGM07iPdvryNnicKySa5cwN9iJ9niuueC+9F682ZsdJ+WvdnQGttft6aVkI73n0mwAA3/SO7wYA3Lhi769ZIGbPwilSeJuXtvtu6aUU9GqkepjTc2gZ8N6X8tbpIexarILFBmux6Q9YzKRk4Rjmxoe56jmMvZW82I9ey17eq/qLMUKy3dEyOyHQKyvMm903DRpVI1TBHOoZzGD3uVzx/muyz+kJERjBnlr60gFovQKkHXBEJrW83hDYP2xaUSzRg7FU8hGUEx/orW174xwIzShYQ4FghGtNbBlzlua+4sJNJ8RA6oaKSa7ZXz325F5Ix+DoqhU7alRFjop2G3InqsicenmAVF8M5Jqspf9wYn2NO5LCI6pxweJYmT2Tbt9if8GCUPJ0rvI5rqxt8vDzTqgU9S6yMSJXExgqqUXQMIZe18puIPoDMupnHIdH9KT7QSm03Ul9kGiW9B441mqifOKeKBB+xKI/HRGXSD5FRc9R6IZY/YU4K0csfLaMzuup23Per7KSWIAsqI1jfkt5yGuzgFdXkYXfq0gcPxeiyHEh9UKBoM2+R01FyHLFvqT3qe/m7GOpdWotEgdD9RC8cqayYuJ4jIpn46qWnG95kTsSONRtULGisf6HFDDBzBjVbyi4fnzdV38IAPCWNz4GAPi7P/XjAIBf+cgv2P0fysO2edFxfFB1BV3eogzSaWDmhKRIWmWQEN0QNFYKaWS/8ZlVXCc59X18FOJoUPVTXIVOFURDNVQ45Zrc9aoVsmN7WVCKY7hUX0fgVZFHREIOkiVLlixZsmQTS8jBZWN+fpjsmbyOuVjIjAMvyaitG8XBapTUX69KVSKzc0iXQHFKz2KQmpZUyZSe7FDCuJ7BTLUU6L0eslJez13pwbXreP97PwAA+Mavs130Ox/7SgDAojIP7s7zt3gusu4Zpy2oUqb320k9c+3u++nunk1VTDK2Qw17scQVM26FdMzGHuJ+I64BvQnGzrNcOdFiULM7JoLnnptdKKaqfooejxd/oSDbXOx9ISE1c86vFCdsJL1yci6kRijvXLFXxQW7TMpo40qas7LyCo0tK0HG3Zi1L9W5w2N7RmKhayi2Hs8d5797toan70vtT5yPoR6I4tUHx9QScB0C1nOQyiD/MyupwpePn7Pfb1BNAaJiUqlsx/n+qiB4dr7DhpVOr9401CKfqxyy2j8eL0Lpqgnzf8YsDvWPagW4NonG7ES10OsDAOi9uh4Z4DPpebAfxL5nI3LXGhhXSA18Ff/hgjoGfUUNgpU0K4ga8Z6brHEejCdCTZQ0xeif1jWYc967OJ84JxPU09UaJwiUKm2uN2tXjey9AqQ1Yk40ZsHsCiECmve14v5T82dWjdogldP9fowKZFkcxrdzc7QOjGtoaJ7kqpDJNktbYU9dhJNjQy7/ze/7ATbKxv5vfOyfW9u55i0PVF6a/YPOEVJlo3gNFanbSkNDz38iWeNsMtfm4HjRWi66hOpAdONxaFoVUiclP4pjb1NrgLASJlVLxSeypr062Qppc3DJAgKKUDjUP6SqqLPHcqtHR1YcJDCV6fadO9hx4OvHsSgoOau0Hk9pHEM/01rfks/0Kp8S6+AsLztJttrrO9/+dgDAN73/A/jGb/hmAMC8tB+ahukwe5ZSXehHUUQb8Yc4eaMK9EzIbj4pPC1MzBxJPtt5uwZeYlnt011rYfEfDn0nGilQP6JROXrqNq1u7BCJCpWLsSBNyZK0pdIN4+5S6pB9d8b7n3MjUXECXuxtUY+OF/JHQ8QrKL1Uai4TudlMPyb28QxcyLqAnAuuSIoVN2L7F1mi95gbDpX/5fNWypVS8IaCUyIv6ceF4kkq5SwyJe9h3+wdJl0uD/jZWP66mWy49GO5HWvZuKyyfng9mzYXBM7N0UzHmW02Fz6GDq9w7lQKxeiVz99TPlWYiJC3Fx4jiZKbIBUYWqostYtNkbClDR3JoiEWOF2bYI5Erg6u2qbQ52qpzRNDGdzQVfm4dHvOaVCz8FTDH6o5CxMtKGgVuCloGXpsYo8uTKDqbizWpFBQ5Hfmhe6Dz4aOSUdi3pzppCpwpTmqH+g1C1utWY67j50Xwaqy8dzRj3sgtL1moS7/cZ+IrelHNJtINfeNiHxjsTBtrrOQedq1p1FORNS8uJVvdnQc1zZufFX2WA7P/fc9DAD4M3/6RwAAv/YbvwIA+Fs/+dcAABdbI/jlBTf+RSFdLWQK4SqU4ZsD/plp4dQEEQGRIRAuE3IScl9XdC88QGm5mVKAh039jBu0wyt0GloVreL6x2fVso3NvhsK5L1CS2GFZMmSJUuWLNnIEnJw2QKAIvhOGRNJVonGSLpWJYu1I1wezlES7jq7zeIq3BWu6K3J43FHmJ6ORF5iZzvCXukw7p3Ss+ImdkEP4sMf/FYAwPd+p5EN33DlPofWtkQKCnoE/YY7eWWNKd1PZWHp8cjDlkfp0LSny/FzT8fkbp7n7S8VrPIiVULUeM6K8GAZq8sfD3iKrkGPSWRJeRhbplfNF+aBzuhxVxQDkRBP7CJKFTiJCvkwFY/3X3iapOBSStM29DoJ9XuRrHIs0CPIN1TyCEgKVBWkXUTF71YkUoLPIq45Pu41r1XhExfHck9KaIW99I7mELXhPSwZCugnBYj62Hlf+fOjYJQKwMRmjHxIzMVLz4Zx29z4p0pVK91U7r88883mwgsqlSuG5LIxwiEPOor8pdRXkdq8KBa9bz0riSQxJKa5W7hXLIibUO6uQc1QREXm6UqlmRfKNbOXhsQ5weLFUmNrfP+b8+2ozSumLGZEpmpO3sZRwtafTyGvU+gcn+u+ZYiCoa2jQwsJCUnR+w1DPOq3vYqnqY10cjcU41J55dXRAapc5dSFdjLswfG93dhatlG4ZBJeENKikIZkl2VCFHRvQguFgrV169njQvk8wXuS/qex6JLnHBfLxXgdUUro+kLFwGxOfvW7PggAePE7bG38mZ/9+7y3TwMA5vkcHcNB9Z7IgdIfVcqePwgKCeXT90UO1Bh05FnjaBx27MZLJGIfIf2lXBLtUSmY/M3xok12zt2Wabmnm0vF6V6ZJeQgWbJkyZIlSzayhByMLCBD7oQskbvk5kugYzYXAcs+bpnr0qN1SdmmsZ3sOUU7Tk8Zr6THLMJZ4WVx5c6r8AhTlhjf7J0wY8ffc3QDAPD1j78fAPDAyf0AgPXtDXIiBYvcrqG4v1KR9nvz7OpOYjgk90ykeaUCKkEjFRJyz3HCxRCRK2TBvU6lL9UUYVGcXmlPYl5OSV/lXPFspkktVHJX3suYeCYvRBLHuhf00UWPGpKwJDWruGbhQkP2FZWsPpof+/3Y8YOYDwDU9MIKl01lmyQeJYGmbkBjOnrnF6dMMSR3ZLU0r1UegWLO3YTv4dKoIp7J88zGY3TX2PlrenfHsxILFhJqc3fTeE16Pir37DFUHTa+pnu3GIv7iHi4jZSKpgfTsD+32w2uPXiP3R+luBUrF3Lg4kUcYgvKCcsTFLLQEvXwlC9gdJxO45K2QWXHrS3r07W36+SmkdfEf+jptatsuOK5KpMtHoTq64j3sGdsfcV0VKGIutem0xwYxNMGsi+9yCBUkh4y77MkWiGxG6EagXO8kFAZG1XvVcCJ6YaNiI1EIK4YAlEtZp7SKUKiZJ535FDUjiiOUc88F0pn9zAj32HBOLlQis3OxqLHwrMxOhKyzMexy31rfrv7yvGhwmSyE16tAAAgAElEQVRcR0UyjhSw6nqJxLH8PPkRrbx2PoJveL+VgM4ze1Z/7Sf/op0/9AOiKvGiCQ9M60buXAt7X/OgcNG8MWLgd6KM2HosP91AaFGN4xM+n7kIxiwKJv6DysJr0epffT8/IQfJkiVLlixZspEl5OCSBQRkReG7dq9ZLC9NqVoY74Dl7bW7vXvbB0e2I90xbnVxR97FuJCMjj9SXLuU+A29sUyFh4gGkGvwDe/+egDAm248auc7lfRv5ek9SjULYRxLlmcoAR4x/Wf02uVdifkuprxKrKrtjeLCC5V2ZUx+F53hre22pzvOJulNHhsXoiAeQBh9LvEoySJ3uwEZsBfyIlSXh15fnmdD2h/vf0fkRGInZTWOa3e83+BtpxfDv/eNPCqmgK4k7jIOkLr0bwzeH0rlkwjW8nDsZXp/8VSNpzAyTqlsBY493ZOnJdIzFBtd8d5qPvMUXIn5qKiVziWEYM40QSEKnmanOD+RpTAbZxbMGNdFb1K/gR+sz5mJkgUv8tSTS1LnYmWPS/ZKOEhjTSWuNR4cadsrvZjcHc438UeOVsazKCkJ3NE72+53XppbXrS4OHVQaWobJ5LfrngO8RY0Ps4vblu/KDPi2K4JiQYVY29P6McilEM2Eues+Aq6b+ppOeojCXOfUJ66aO9L0rrdmKjSOTMM9PnxiaFhM3Jz6m7v3Iv1uR278/lPeezVUKRpfC02Tim8HO/TjAhxGCRxLb6EPO2u6dFsJXHO+c6FUZlEQoTaiUS1/u7IC6gb8aSIJHL93LKolDIlhNx+/Xu/GQDw/O1PAQD+l5/5KTRcU7SODjLH4+wu7w9vzUQ6Xw/X39eaNc1cGyN1eR699Hbbs91MxcxVsl0/UUJ5+VNeFjN06O8q9PeFWEIOkiVLlixZsmQjS8jB52HRhWS0l5KHyHxdyQgXQ1xxMTfv4YSCM4gWxxPLdr02r0Sb0i3z9o+Y7x7oxtTchb7r0TcBAL7t/Zad8M43mq5BsWWscs0iQGXhcaiCzG2xV1uV4JWoB3f8RW33Na/MO5FAiBc9YiyxlWSzM6XtPCpAFD1roXDvUuV/w4TJLO+rZptcQ0KeMfu068X4taNm9D62e/NyWvEh6MTkyvtlHnDEJbEaaS+IOqAiRfRO5I3Ka9f9a+PvRZ14ArGu/bwSA9K0EkJT5I4InK/NoxOydHR9LEikUtxehKUX+sNTuuiRxKHoIbGD+t2YGS6PvJpVzvPIVYrb+1gaCtSB0H1JcyKMn40jCrqmJHpVunxSqObizO65KktU9PAlf9wXYl/zGXiut0pPi9FO2W1mqSwZa/dCRcqLl2etfqG33yhuTG94U+9xhbFxoQ77XHLHNnY2O8rbcrzLBuY8Y8SM5y841+d8FbdDvIGiGnuWGcIQt1aziebshTpVGqwaF5xXGCMIitELOTq9Y2iNdDCu3yCvgmP1fG2fn23O0e+1jtlzP7pm7XckSDFyL2U85uxogjSM72+pFyKk6pB6MJr7vRc5otxw33k2zlxZRsroUNzf0y6mXrm0SIheSriMS1xD0aDF3NY2zVnpIugO/uj3WsnnZ59+Hr/wiz9n7eRw1joq0ayaJAP1+ZBBw34SaHoX10Aop/2tZC8J3kWhp7PMC+/1kGwy0cxuPAedv9AN8yiEqYrOF2YJOUiWLFmyZMmSjSwhB5cs8l+Q15GNY0NSysqWil+aqThOOas8tlXOGNuih1hw59pyl/7sc5+zvz2mbNY1jOsybveV73wbAOD7vuf7AADvevhdAID6efNqMq8ZM2RWFNxFi6G9WCq2bG3YUBVsszvj34xPcbctiWZlUuSuTscCRWLvq2CPM4nJPo4RDWO+s5kYzuP8dGUzaHOtmLy8W+2cpbccxYugXOju3Nqi+KjY/lFMYhV56etB4bITE3qSW69sFMlDS8JVXAUvkoXR+/KMHGGQehvjnAFCcEqs6E0+++TTAIDjG/b3kkqBCkMqoupxfX+sZGVz1GnczMoxX0JemzxqIQdFWQ56BcUY+ZL6nLxKuM4FMwpUBljy0xxfykBxlrbHiemdKTOAxaJu3H+vozPdTPFbIQTjazqth31dqz9UsApjJMp5NXHM2QiOdthxt9iWXbPDyf1WLjrjBL7YGFdivbvg+xpL5BIIaYjkReypZcL+OrhiktCgJxlzxb853sRlkdZHKAd9Ay8sZdZO1EfFHel6xf2JNDH7Rc/m+eeft+/z/evXLKtJ/brh/QvNmC/mqA4pA56Nx5I/ClerFDJIT5rzaU91Ss35JfkRC0o8e3GwRhLHNi425EO0+x4FpJYons84Zq6hKSRJqIWyUoI4XMr24fs154v4Ecp20Nq+IzpU8bof+uC348knnwAAfPrJT1g794Z8iWOgzKDWUQy8ZJuDpzfwDV93OC5cK3uMhlRleUljROuA1qoxD2paHvvVtIQcJEuWLFmyZMlGlpCDkUUAve+YMiV+K5FVu7RWQWjG4qneV+YZapUCZV5qNrPvHJClvbppbGF5xs888ax9l17mnB7Bw/c/DAD4gQ//CQDA1zz6XgBAfUbFL9ZzEGzhRWL6CEjpr7NdcVlQqa2UyqAY31QKZJx+T29jQW+09cIy2XDuy6+KwStPXhvl7BLLnrvlMhuzsCn0hZJ6/ytmY0gLv2M/VIfmjUXmbS+oXrZmmdmaBaeOSuvXrJMnxZ03Sm/YUFDHXr0mAnflbUmPToV06BmdSTOBXslhq3LCjJ8THWlU4lf5/wxVZz2wYp2BnDHE2REREFY79thyGHsKhWvIKzNALjHvIZdnLe4G86KVS88Ye7VYoHV5A2kM2DXXZKvPnZVNjo0Y3/JuvSyIODjMnefxmYrikKvQ3LHxF/fM/z88QUbkp+XzkyaEaof0nVAIZaUw24JojPL9c6oadirg1aqQF73eliqVuY19eWWnZy8AAJbHc1RUMFTZ75qebK9y0AfUEOCKMFdsWbH1mvUJWIa8OlB2k52vUnYPkxXU/6pdso+Z83SKRnOIz41SEQXvS169+mVGLkVLxOTWs8/ZPbDc9tGBzQepfSrjgkKROJROQAX0fL57zqWmFTdHtYZVx0U593auHRUTO15D2RxCWOTln52dsi0cL53QL86zUKJgpwt9yB2FYq0IIWsqRMWsBP3thaYY8JdOjEC9IJVGrkvSbpEqKApDHh9+8J34C3/+PwcA/Njf/G8AAD/9D/6eHaPn7BlTbCufpxBGlWRWhg06oT5Cg+zFi+xJA0ZKi6H0NKSs1zPgvBDCJF6UOBmtMiw6zxJ6pZaQg2TJkiVLlizZyBJyMLEYL8WNfAOmwLjiQIpd6ztDrFbMVeXdN4yp5tTU12b8gftv2nHcfQqdqHitx9/xbgDAY28yzoFYqhkT+StqC2hnvKUKWdfskUd56UQQWNlNuvOq3NZyh7tijFDM5o5U3x0ZvUIGFJNX7HGvLIVe6oZimvceqBwU4BRjlrLXmG2sGhIDE5pxe3qGNeN+8mozer97umWKrSs/WjHbtmmRF/I+iPBMYquK+RXiR/BKaqGXzxZx3HUhWB8gjO91CJDye3mPIB12vrdYEvnhA2x6IR72duW6BfLimFlAR2fmWgT0oMn8Vg695Dudf5JnKJQhoEwRqspNwAj3TvS+EJZS8Xt9TmRFPJGuUIze/j49t9LgYuAvDw8QnbHOOgQqpay5pmqSHCcXzL0/pl5BQcRgx3ml7ISWHnNfcwx2GqvM5xc6QE7GfQ/c64iSqg0OWSgaH8wdV2VRetbd1sbcBT3iip6yyjrMFlwDiKzo5sSYb3lv612NgmNIg6VtNG5VZtxOupjZNZx7Qu/9zovWx7fumNbCyYllJayomyIPWs8yq8gfycX9aR3RWDATKHCtqqkl0u6l0WF9t6Pyoag80i8ouE7s9mMVU5WHlglhmEvBtSsAZkyFRgiZeF7jVyELmg/qUyki6nMpJmquCllVDZbZJHPinKXUy2qOJZ/fO97+FQCA/+PnftbOHVn3RqiEI6biGmmts/vUM5IuipRptU54fYROejlEB8p8QOk6X0TspR3/6XWAVHa97V81+kFCDpIlS5YsWbJkI0vIwV2WAS+jLqUYu2evuiAed4xFgWJBZUR63S5oRk2B9dY84CuH1wAA9z14HQBw63PGlN7epgfoev1UTKS3XzKQHVtVBGR+aymG+M49OTF05fn5rlvp6Ir98Vy+o2c88vYLygiw1+UBK+qJIc8dsTyukUAgPXupoUnZbVANnOQx632vNaG8fynH8fu9WMn08ktpq49zsIVIdF3ramnebsWlhW4oI4APVHXnFRtVPnPumAKPl5cuNTtpxnu/8sA+8zxuKUBWrBWh9ree+zLWYgg+2Mb+wMAoH6NYgVNaHtHSlRcxuAJBevt7nkvcApEkxn2oByvNCq9D36px/JyvQjW2rWp3sHLmao4NY+Sq1KhLolGFO2YOUN9fmQ7HzJUXIqcMkTN6/RXb0lA/pFR2DMf82R2bXysqAx4dHqJes9Kdzil9h5lqJ/B+VNmxpR4CPeO4tXs4unrjcjcN3BZxc6TBIPa6YBJljwDoxR1pVFuBCpqci9L3EML2uWct2+n0liEGK6o8Hl616p7VUigAMwVci4TXFI8mZMh71cAg2kllyD2Rg46cEak4LrlOiBfTtlIMlQYHT83Bu+AYlI6CxsuWaM5us0Fop6qBypRRjQVpkig7xY7SfFL9B6mWDhoNUjfVOjGe88oKGirQAutzO8cbH3wEAPDmNz8GAPjob/6qfYmoi4f2c609k4wToRhEPQYUlXNXXDaNM/FA8tLHpFQnlZ0glEcaCdJeaHmuVw83SMhBsmTJkiVLlmxiCTmYWB/7odjgxOJEc1sx+qxXjjXQ0WPZd8YBUCUzhY6Ur3yxMY2BwwPWVHjOzvHYW94JAPja97wPwLDbHnEhMOwQFVvvXfA7ukdYMQNAMcE+G2vGC5XwGgGVOAlUSmNu/u0XLXd6Qa9LVRuVt+u55+ILFLl7p9riVqV4DkQSurH6nhx+ZRl47YBJVULVN5/T8z6n+p7inKGz/hRKEOpBNU73p7hu50znMHp1RUXFBuURDl0MAGjo/WZLet6qqLlX7Qm2PZ+7Ot5syefpiNK4zoHY+6oEqLZPtSXcK+HxFZEmxVilCyDECUUYaijYO36fqqZYQqQEeUby2ujpODFgQMoAoCbzex5YN0GoEL3Ug2vm9WeLDA3r0iubRYp4FZcieadSQhzUK8mt6KXNwLbRW5tznpzVpzwvkTTWsmiDjfl7idQh9ANiIJSK2Sq59yXHM73aXKp7RCfkfC/JiymJrO0bIguMew9KmmPdhLLI0TWq42Hn0uKjzKI555wqQt550ZCCs1NDQlS9b3mPIZHi/ajvxZDXOBNSV5MHEGOHknOx3WlesJ29FDTHOg3qH+cRaW7qWXE8tRz/4knsOU52GyIG4iJ0QzaKK6TKtdfc5BhUzQwhC9u90B+MvhdaZRZIkZXIEvtbDrbON/PMrQK7va3Njz7yFgDAd3z7vwYA+O3f/jjvd+zVS7uj55jes5plN1mzM783NkFcA44zX7OyQacBjmZqbAqBBd8fK6pqTr4alpCDZMmSJUuWLNnIEnIwtX5Qq8snEIJXBpMWOWOQBfUOsrzA4cK8hy2Zqcoh1s5Wef7a0Ssz4Po12/l/73eZEuI7HjMEQboGZ1Rvm+WqvUDt/EqVBanalq+9Kpo8W+VQzw+oM08YQ/rirhTIWPEcxiI+JOP5zm3LDd8xH75YSBmQ7GR6CKpHHmLp7qny83XfyonXTrj1+uR8kZsugUT2k1fjy8ToZfy7GPMHFC6fEf0IG7sqMKAQYg33jJEWUA45WekdY/GTTIvWFSDtGsqVBjMPKu7ad43U/OD9tJOevhjK0oAnkjTLZ6P+cG9NdT0YyF5SJ2Abx/1X+vdVP4OexpxTPB94L6qtUbgHy76kmHyr+D9RLyFCAzol2MOl4Ua25TgRX+SA9SPqrPXsEmX1SEOh5DPY1awiGMWZWLHNzK0n6uUeH731gqxt1YMQsrLZ2PcO72P1S1X7RI3Z0r7bqJJfpri8uoyIUJR2grJ57FXs/rnaqLoRzGYoRTia5Ojrjfl85iqaop+3RP2EmCzIHTg/NW/2+RdNz+D4iukYXLtu68aez1kepDQFNMeF7kxRoTwvUOk+Vdcil6LhWKvEvWvOvQXHorJepLUx1EFgxgn5I5uNMkbsvMulrS+rwyVKqa1qAscx0iHek4Zgxfi8a5VM5Bx1/zJPhmmU7ZCxDTYG5MX3XTdkeBBBed97rALuP3zrPwQAfOyTv8l+sH5bb8/4XY6jCWet9/4wc16U1rKJIm9E7/NXq0iQloI4CPot6iaTL3EOkiVLlixZsmRfLEvIwciisXlVdpsQQsAEQfDKePQ8FUvCsBMtpRYnJnxQzvQYbcipKf7udz0OAHjLG99qn7sKI3XdyRA+mDMbgrtw7YSVYbBYzNFwBz8jS3hDDYScevZzIgQ7xka1Wdf39tRFmFEb/eCA12Rcv6F3c3BIVUIxoeMl/XvnWNBbpdfV05tU/FV9GbwmAr1UVzOkohk9zgPyKPKFWNxj1n9Zqk4CeG9hUJ1TDQh5obyfw4V5MMruaDpq5tsphmwUaal7vI/31ogxzC84I1os/wy1EAEoTklPkV5DO9G+n9azlzmvgw+tVKyW42nPDAFpDRQzyf3hknCDMgPGOeUaCIWY/l53XujMhI4vToauRRRAXp40CGbHNo7W3c6rcGoM5tLtVwXImrFTjJnuBRUke+Xe8x5WjsxJW4BMeKJDR9RHOCLvYcdc9aYPWLJvhbpIe6PxsovinNBrI6K0pRe+Yry/II/kQjwRxqRVL0FzQCjYUMOg8LVD+iWttBWYa3/7jukYPEcFxBNmI1y7ZtwJZe2oQmrN56+qpaqwKnTIuS2ZeAM5cmlpcGyebmwMtnwWyjg6YsaIVDuVpdDxtWlZZbHV+Oc9eZ0V6+crJ9f4N/UhssxrI6zXtlYp+8BrIXCeHByqyi1Gx/uYkwYJr9VPEIgph0EIVstn29Z7rLgeCAm4fvVeAMC3fug7AAC/9bFfBzDwHXbNWGPE1zIhBAKHJtkrunY5H8/xboI0mIn3w1N148yIGLSOApOfqy/YEnKQLFmyZMmSJRtZQg4uWYyWiTBsvMjOlW63vFNVSuuUi0tPoY3OgJ57loFqHiiuxFxfFrR/4P6HAADf8+3/BgDgnvIeAEAvpTSFjBVb4vvHK9vdnl/Yznl9arv9vAzuIWt7LS9NcUdpJUgZUYx4VRkTk1xxO8U/z5j/W+yp2uasfjOxvrMmeI0Ame+mS1UqZFZHQU+XjG4xu2tujIc8X3udM84JeqBy46UhL1ay0IGyLNzLlpema4szIM9owdzovfQNXDuBTHohEHGITwKDLkIggqC8Zq/OmOceC3bdCnr0Hfs2TurWy1OSln6YeAOuTSC+QEMEohUyQQa9shWy3mtqSFNBz93HN68ZGFMWJ0PnnEvNzxO8lUExjlmL8zJTbQJWBb3AHiWVPZUpMieHpgIrndbjcSMujZ6/6oBIAVK6DtLWrwnf1BzDV66bp42CceQq+PGNvC3eXwhS4yNiGMU1YQYI2fVrjrWTK+ZR9kQ1OvI9slJ9LnVCF6GwF2UthIBSVQZ520cc36dnFsd+4umnAADXb5qi6rV7TVOh4TjZ98z+mMwTIU4zvaqSIr36jIhlQIEN15CLM1tDFNdfHtoaMydquSdiuJfyHxHGDTOvlEFUeGVEu9bRsSEOZcHMCz5zXWe7W6Om/suQ4cAsFuX+q9Il1yhVdNxxDvu8IjIyJw+oEQIxQfOEHGheikeRZ4thDHEsbqli+1Xv/mp7ffw9AIB//i//X36XY1c1R4Qs9i+FAAAZfXLdo3MQXDciOh9IsIO4R0LtelUfjcN41v29SsBBQg6SJUuWLFmyZGN7TZCDEMI1AN8P4LsBvAvA/QBqAP8fgL8B4G/ES4n9IYSHAXzqdznl/xRj/BOvtF0xRjRN7V6b59oyVig2t3KSxaCX54gMWJ+z9refVFRlnorbyivHpoH+tV9lTNgbJ+aFlGvlsXJ3KY+IrOMtc5HLQ3t/wV3rlh7EZrvGvlFcdcw96IO4Etwtz4Qo2PGKg8+lqscn4MqC7I+zU8slX54wf30+zl7om97jdfKS5J2Lc5BNSLXSOnePuhS7X7FBVqPj5w0Zz440eNyT73NXXpaFe1ODOtpYdU0IgO7TFRJbL57BVo6zF7JLnAI7jOjAJEcbsXdeh/LVMyEGcewJyYb8bOm3j/urmKgYqsJdQ29HOdVCavq+QedozlglzrMVRJCp6fEKSaJ3dnC44u3E0avY2R2f+YbZCjduWmy5U39XFSLbs2eMWANBSm/7zVjhUB6UsnuUpRKCaotwXLHpZ4xBHx9ZbHq+Mg8yVqpKyHz5PjrjWzolUgbsMvJZZmSy13by9c7mWOCYy6lB4OFfzZdKbRR/wiw6I9/+Dgje5wUfzRmZ/U8/+SQA4MpVq0p69bqtFy0v0jgaIXKO9DLEVRJ7X/nxPFw8Eh5/cXaGO0QpSvJ5jqi2WBD56oiI7b2iIWss7Kyt89kw1wDzfIFBL0XVa1VjYcs6BuJ0de0eGe9HaGZZjWtObC50zfXovkvyhGZCHitJboL9pOyf8dx09EbIjfhIfRh4PRxbUulcraxffuCP20/Nb338owCAF842l5vq68mg1mqmsVs4YsDj9VPXDVkOrq4qgpOyMpRJMRXxdcnI8KpxDl6rsMIfA/DfAXgGwC8CeALAPQD+CIC/DuC7Qgh/LHp+ituvAviZlzjfR7+IbU2WLFmyZMn+UNlrtTn4OIDvBfC/TRCC/wjArwD4o7CNwt+ffO9fxRh/9IvWqsg4mYTt2DudYsztoCoGAEVJz1Pa69nCa7c7VEBvLTDOf7w0b+rbPvCdAICve/zrAADZll/b0SNSzjlPkzvrlhXh5GlKl5uxyqYJvuOVWtaWle1UyTFj9S9VlytZ0YzJBiikPicmNb2vo3uMIf3kU08AAGoywg/pzRf05i7CDg2rv3VzeqmKocdJbQhVWZQuAWXnVJ1yzjbs6EGeqw47R03O+GXLe4n0ehux2+dz7Jk7v+Q5gsoTzonKMB49J3KyLajSR89v1pObQSW5hlvWll7HQp6RYtQQt0O7/ho53YoiU6xXsUR6q+z8Q3JJxH/oGOftnNYvr4P3sGfetoTfpG0hV5HX7YrgOvXwmDfRC+k70PsY+C0ScOczpEe8lzSgCkAqHCoUg/Pk4Jj3UBCZWpTYqn3iOZClr4yadWPP6uiaeWlK2umUWSGvjF74jBkRZ8/Z97cbm0gPP/KgfW9BdGcmXX/yCtoGkV5lzxvY0LNdUb9gKe0EflPKowsiKIUz4sUU55hnMF3IlOa+gBtlLOU9kBEBkwbAE098xo4hGndy1fpBqJ+UUftxMpMjCgWfdxntHjI+w7CXcqC9bi6IRJ7vschsfB+vjJ+hqpw7VWFk5sOWWQw1kckDckqu37B14fSOIYrShxGCUHP+qZaCECZptCwPVigLy3xSrZh904y+e8HxIX9RCINC80rqyTg290R5NBal0eCaHUI2OWelv1HvGkfE9ByryDWZ353l9vzbelw5Nc/HSIEQZr0r5EAIi9ZAVWTtWyGROfxHaOIeq+aG89wy8WUwauOrYa8J5yDG+Asxxp+NE03gGOOzAP4q//zmP/CGJUuWLFmyZMm+JLMV5Hu3L/HZG0IIfxrANQAvAvh/Yoy/9mpdOGQB8+Xcg4K5F8qTp8Rdm7xdjNW5uh4onOEsJa4xY/Wtb347AOCDX/8tAICDwnbAGzKF61PVRaDXQu9FTF/XuR+TWXG2sV176Fpnoa8YM51T0VCVInfcwXsVRe7050QWWmqDg4kBmTQb6M0cntgu/9Yty8E+oraDvOFyNke2oGoa3aWF9B7oKdaNkAPGRKsxY1d5zyt60PIY+yjvnwpnzGM/e+ZZO47qleGQyAs6VyycM4aqWhNdIE+Be9QryoRg3vGWMdaTqLg9vQxlRnhdAMakyVEQ12OeD5kC8j+FPig+XZA9P++tjysiC7kq+fF+a04LIS3SN5AyYCn2cqsMEyExHC8hQ5dJdZHN4mdiPjtyIO+K/AWvRqrMAc/T5uDjcFFVvxnH0fFV87Dyis+6ACKPUTy7InpxISVMPndlBtVSEqUXJ+Z8wXoHqk1w9oLVHJgTITi+aV5wXBLtgbQ4hAZ0AJEhFBLFoGdHly/n89wRjZA64xvus4wB1QFoO+a5C2mUUp7GjTQpGB+XIuEsz1ATMXjq6aftWK4pb3r4YTsnETVxNRppJnR6NlyriIZ1W/IoiP6URCCbtd3/6alxovZELBaLBZbM669ZZfJ0TcW/Xtew+9KadLgyHoSyE+qtPF+iQRwvQh5U9XUxyTwo3ZOeoyav44J1KxrqNYiTcXh0wHNbW8SlEddAtVo2fFZCohpytIRSaI0SclA6ysrzlPBn0ikTQsODcE0R7D6uXbXMslsb06CI7TQKzrXKNVykt8JnGDW2qeWgaqfARGMRjt4pI8IhBXFPhFq8ijoHX1Kbg2CqGf8O//w/X+KQb+e/y9/5xwD+ZIzxic/zGh95mY/e9nk2M1myZMmSJfuyti+pzQGAvwjgKwD87zHGn7v0/gbAn4eREX+H7z0O4EcBfAjAPwohfGWMcf1KLl4UBa5duer6/VKI215Y3EtZAK4bJy+wVeW7fPDOeIx2qqqa9+ADb7Rz7bV75IFRdOIxk96rMrZi3bJpilPx+4rnVTkc4bh9bt7UyTXb6ctzieJOsJU7Kn3V59wxcze6zFnhEKrfbm0Sg/r0tp1fOdn3EFEosxylNAWGEmR2X0He1ri6mrzYQcFMQgfMtaeHqOqOUoIrFUtWJoIqnenvtsOS913KBSIzPlx+aNwAACAASURBVKNGvrgZ8tqkHSDPR89Cj6rz3Gg+d96rvFhpLERXo8vd5ZlybMW2X1ILQB4xVPFTHgEHilQZlbcut048GHlpy9mK9yat+v5Snj2brb7miM7i2OUQx2bwTscZEkI1lHFwvrb6HxWRl8WK40a6/6FzJE0ZEoEoS2DfzTTuJ9oU6vySvBbpgCi74ezCxuA1ZkisWHPhtDVPWXUCguscDLnhhXvE2ega6hfxe5TFtDokByVMGPBSjHQPMFzuHld99HoBXYdPP2E+zZbckbe93WqqRM9GIYpBhKXuLr876P/nqhNCpEB6KGcXhiie3bb+USxe2QD7HtiSK+D1Lkq1e5wRkE1i6qo+KB7NvLR+ubiwPl/ND0f9o4wlzSd5+bfPbqOu+9GxS6J7qpGiCLQ4V+JvqHaE0JqLtT2rtpYa5bi2zbS6qbLAwqV7U6aQUKqG+hXnRFSu37Ax9sEPfiMA4Lf/DsFrrd0Tz13rhPMdWs1VrhOal5zToc8c3lOrtM4HB6I15vjM+G7uEomvvMbCl8zmIITwwwB+BMBvAfi3L38WY3wOwH8y+cr/FUL4MIBfBvA+AP8egP/y97pOjPFrXub6H0GMXx3bDjsusBpgKsBSkFjkMrnKQNnzEZYZMi4+hRYGPt49z3XrBZuI105M1GT3ou1nKoYXqgUlXHfaiCjVhu2cLEAiSanI0mw+w+rQJuXpORcGCowsD41AtJBACDccO6ZBCqLebG2CbfgDLBhZjdAEU3rVreefH7WhnM2xnC9G7dRC62Scfvzjp8XQYWXo/uycF+eUFV7yh8obw36WSAoXWZHqshixYtgjJ6T9PNsrKHZ1YP2lzUFF0SiVd41O0BwvLCKqiiTkqY2TlMc+D0NqoUqqagURxq8VQu9zjOlH0CVViwF65BcBDJsCtalkOGbYEGQIPnA5hgSnK+Th5Fd7beM45CMoV6tGlmuTwLAKC9BIDrYk4bPg37t2D6k5z3VNLeYcczOOlyUXaEHy+oUNIpJx83T+oo1xFdO6ds9Vfk/pmONCZyLNAkOqmTasKgeeSU6Yn2vzfIWb7IzHtZnCB3zVOJHITRivAQpD6kf4U7/zCRfxefNjFm4EycHaiHjmoYiFLmlN4i1JlP05pc/5g7tnf+5V+po/UAdXuM6ojHSeYcaQpW/Y1N5MYmEkTXo6IcNxjUi0/CGXHPIRz+35twq/2l/rc1vzzhhK7frONyue0uybR5IadZ+9BMYY4lOotJE8srV9xWJYlTbRmgienTwOCWsD3IduKBPPz/YbSZKP+/7tbzew+cZNG3PPvWDhBfGQq1wpkcXoe0PxJHtX64eSMAOCX1vhhdjdFWi4fErv2/6V7wncviREkEIIPwT7Yf8NAB+KMd76fL4XTcz/r/PPD36RmpcsWbJkyZL9obLXHDkIIfxZAH8ZplXwrUQJfj/2PF9Xr7Qtbdfh1p3bDknPS9sJe6ElQdbcCQ6lPe37s7JCYE6ZRGk8H4NbOhGxnv+c7X8OA73aIGKM7XC3jl7YrnXOXB1Pm+Ku/GDF26YXt2/XyEmcOqRs6ZYFhgS9HmQUOaEbt+JxeTv2bDp5LXIpeU15DtevmCelLebtF18EADzw0ENoCY9LgEgiJ72fa0qosRcVv2nj2MvFRLJ4QWRCgj3yyEUmOuEzytvBEw6C5ukJCjb1AkT0RioSE+UxRhd0okgUiVUiMkqAp/SCRYQyIQsoVWiIctFCTkTQ8/RKbf1V6rode6cqmCMbykmPIUpHKF7C5HVNIUt04+MkjuWhiTAWR9LxauOa4keLIxvTEhwSszc0vQMje6JZ+xfNe7zga0XIXiJPCj4NKWhEd+hh7y6sjSJBHlCYS4RgpYmJRFyqf7LCBcamIleaWxsKKqkg2cGRERFdTIwDSwWKci2nPF+VjUW1BFM//ZRJIp9eXODNb3qL9RnRPq0bHuoSIkTUZ0Np6g0RgTUhfFwoxGF/qmDVVaIdFcnEknL2Mu1F5j8CQvlUOEnwt4tlMbwgUu2spPQ1yX6SG9bw2O2IXhAdEQlwS1RDsHo1r9xb11pV19noXIOok72ofLqjf1wHRRIVehdUwlkCTAy/SlzL13KlVne988+11mg91HyInAcPP/wIAODxx61o3i/98j/muSl2VI7noH4/Wo8lCxUbC8OFPAwDX0JtQl/GAMndzMVJaPCV2GuKHIQQ/gPYxuBfwRCD3+/GAADez9ff+V2PSpYsWbJkyZJ9XvaaIQchhD8H4D8D8BEAH/7dQgkhhPcB+Jcxxnry/rcA+Pf5599+xW2CPDHFZCXvGYcDMIhbiB3ScZvXNDv0PcU6wPQmepn3snDKux//SnufJ2lUFlXpTnShD+lJ7Ld2PpU9VZsUD5fHqF19hxo7ko5UfOeAMfXbZxafPT01BGFB0tYxiYTBU7DoVTC2OhcBi9vUzYax1WKcZvTsZ58BAFy/fs1JXirmNES3+bcAAbkCIv1JqGjijc9cJpUeOL2cnjLL8swl9Rv8tJl7G+JKKA6psrDyFBve3+rA7keysr4Xl1OvwkSYIAcqtCTehLz/vnM0ImYkyPEZkevp3vzAZBUHQfFrFUeSNK88HyIH2fh4L1jkfMTeT55NkAMHceSlkLex3lhbFyxNPKwWY66B0LELxv1vXD3QTdn5mHZXzUuAqXbP3zaU6emPfRoAcPacIQfv+CrzwiQzvSMCEHIVqBLnhtK2jFtff+BeXoOiSu2W9yS0bxz/zkJw/o44JSLR5uTePHvrhVFbJEzURs49R444B6Pi5UTNiAodkvPyzNOWbvvC83bvb3nrY1ixBHHtKYoU46Hg0G4nT9re35CjoVLmM6IRK5akPmBZZQmeKV0uuogSUx2j+iH6AI4iTArVUsqrivpocCqtjp7/KbkmO65J4mqo0Jvi+vLqNRcORBSelahZMlmcgtALOVNRO4kWqU1MIya6m81UzEnF0PiM2CYvwMTzq3T6QOwexoLSG0WG3RIBGdLIeQ625ZzrqlI7lSq923KOT4V+/U/xp8T5IeJU5mj0nPQVjntxisSDGzAvog/9pTdfob1WtRX+JGxj0AH4JQA/PJBX3D4dY/wJ/v8vAXgn0xaf4nuPA/gW/v/PxRj/6RezzcmSJUuWLNkfFnutkINH+JoD+LMvc8w/AfAT/P9Pwgo1fS2A74IROz8H4O8B+K9jjL/0qrQqBORV4XG+2sUp2FjJDgspaBmD8jh6jhk92dmBxcCuXjFp0QWLucSoHb9EYCjBSrEOxTGzSXqU2OiKJUsEpWU63hFlVsvyCGuiDeenzITgjvaAYifydM/XjFdGe73Ggiu9vBfGWisK9IitvlIxG25Rb97DzItz83Ke/swTeORtFksNXvbYLuXCOXQBPPbH96NLzir9id4G2dZVqXQf8QTsdCo3XO8kosKdd5n5Rtold4kynN+y1DvtxuVRzxZ2fzU5B/I6JAIjry3KQ8zERmf6nTJM2La6bVDmdk3FWSWsc3DlgH2J0X3L25DnoFK0cC9unN0gtEf9ID6JvL8+xgH5ElKgMTbZl6+ZulvT+7pGmVyluLWd4rk8N5+FALYFJaDrRgW+Bq/d07wYz/3sU1Zg6PR585QffcdbeS56gEFeJ/uYqI0Kb20omnPCzBnNn64dp16IeT8U38p8POiZDLFyO+eaXvrVq2NujbIVesovC1koWF9dce4lEYNnn/wsAOC5z30OAPD2t1lmwvLwALdYxGytcsgcc+omeZUqbjSvbI5mzjmyvhYfZsfzXFCGOpt5xSW2jWduLxFMJGnu6dQcU/SyJY50dluoF9Ecxf+VtjyX52zjZaZ1I1c64Zg3oPeRZ/Dqxk5Bct1s+4oKc9Ebb/cqAiVkxNqorB6tYTqxpyfOVXZcyIHQUl6u7Qdpdo4PfVe/Cyrm9cv/7JcBAJ/45Ccud5ufW2v8nuuHJKF1j3pm+v1Q22PbD9lYOpZ95/yQMF7/lDIfXiXU4PK1/kCN9RF+9Pdx/I8B+LEvVnuSJUuWLFmyZIO95tkKX0pWzSo89PAjePZp2+HvFN/TAZnKvtqfrPkDlLbzu9id4Z4jQwwefMCkNS/Ipt6Qna14pGLCKm4j9mnXjFWjM5UUFSu9FYNW5VSpA0DW8qwoccjSooodrhkz6+lFrVg4RvnMZ0QQ7mQmalSq1Co9JMnGopVXS3b2giVtub196MEHAACf+uSn8cKz1oc3HniDXXuSgOv5yvI6FCN3x3m6BWZcWIIi9HI6ySVLypb9U8u7r8LAAO/HOgbhEicAACI9YHEKFkQQTu8YwnDPgd1L45kB9KAFLfFZRmf1D959PiklO2Wle26Ge9bjrBRxTXrFyT3BmffgGRXKUR+LB+VF5ijEgKVIqIOH8lWIidCcGXUxBndWOeNkX0tMiuz1BSWtW3qvVaYiUrWPuWPG2iXVrXbfObW+vkpGeyBq0bBPVZL39rnF7U9OzKtfEamT7sc0s0J8ingJNfG+EneIz0SaCUIrhDQF53WMn7NQHOWzl3xmz5Fj8PQTFgl9y5vfwntQNkzjjPaKhcoqaUM4/0F9LVEcCVYxo4CcjK3EpPj9XBoFUZ40RZKECshLBVAEMfbtUgz/Y0tdg7Pbhm705EfNWSb+cEluCTMjdkQnxNavmUkkyV8X++FiJz5IFxtfWlweWfooLkAmhIxonvMi+ECbcdErISTZVJBK/KJ2/MyFLJVlOUhPS+QssNAW07ekF/PRj1ox4O3WUK+S6E4rTQ1m1LTNWPTIdSQ0/bywXzf62+67H7163wlZUZ9O5/SrYF8SOgfJkiVLlixZsi8dS8jBJcuLDAfXKxzU9NaXY3VCbc4qxnNnC/N+lAddzYHjY2P+r4kYSPnwgXsfBQAoZbytyaZmPu/hzHbhe+6M44StTrFCj2cdUAFsznKryg/ebPe4Ta7Bil7X0ZEVoVmTAX12214XjJ3dPLb87YtzY2e3jZ2r4ucF45bSe5BqXU0kQkzjOZXWrj54Pz79mc9YH7E/lBEBxqvlpeaSDFUee5CKmDwm1T1l0RZ6LfKgus7aKiG0mnFglS7OZ5VzArQjl6xxXpDv0SpvndkMZD5fuW4yqRdEVm4SMWh57qqS3oWY5ioWw3thiDFbzpHTu8JSWRxMvOnGCEl0Ora9eCxReenyJBQrlSfEcdMpocdz8QclSXksAxFBz2IcC1ZeuhADFUESm1qndOY35WUXRJoqZpTU9Gb34h6UwY9dkU2v5z0nn2G7s7G52dvr4RHbwLZKO2BzYZ+f3DROT7a08207ZvfIY3Znf4zQIV7K4xdiJK4IPWkhC7qfopRC6lYntc/p5S/YMc+TW/DU04YYPPToQ9afvJc9x0kd+wGFUdEycmqkzdFxbVH7pfjYZ+I/ESnj8y5dhpy3Kc84jvtvxzbEYVRgT/n0M2bp7KkJoPj34bGtUc4p4KTrOPcaIkU9eVUlS6Bzeg0qh1D3kbMTIwbWDb/DNSjQWw++bhBxVLaOOFmcbFEFqXi24AqtaiP5ZHtJnZMjxiyXPAuORijzSWhUxjF6TpT2T/2pHwQAFMfW1p/+X3/KztFJOZJoxGzME9Pap3XHTTIZXT8gyX7IRIzEkRV+yuff3oW4fuGWkINkyZIlS5Ys2cgScnDJutjgovscrr3RPISThrFTla6lhzFnbFXaYh3jXSdXlrjvAfPC77lp8feSCojdBXe6PMdM7Gt6sVJ+E2G4Vd6q4p7UEtiTP3D73Hb3YvFLIWw+P/Sdv9TAQmDhmFyqa3buO89ZfHfJ2PoRPX/ps0d6F6tDIg+ELzpmZIAe5Z7eoDyik6snuMq49W/+5m8BAL72a95j3+H9LRfWXsXK5TFnXsdBRaL4J9umnbQyR2YL6iDM7e+LoGdF7z7M0YuPIK+8VByf3rzcy2qszriip9TSc4hkKwd6YzMpRpKFLEW4w0NDSVpPc87RFIyvLux1r4rkAgrcefegOG+U42aQ2rTzqK4Dz1tH8kJyHleMVfw6RFeNE28h7xW/5JkZK63J9FY8f6gOK30DERl4/y3vezbWqGiVO06k5XDWIc/IMme7ltTQCBnHFvUJbt02FOv4uiEDK3qpFePeyko5YS2FLZ/7PlMthbF+iG5CehKxDx53LjIVrxGr3o4pyA0oiRwM8Wnqf3CMHomb8pTxIJ560lCz+994v7WRhXp2RAGkpR8xDL2cghcdUZaeYyoohi79D+lacBzUyrnn34U0NuiVl/S4FUdv2W+zoHh4g/Ud4xqdq5yznhfn/WwhzoW4AtLW4Bhjn88X49z71pUW6e0TWZIo6jC2o9c9UXaBkEGNNWm3gGNT5dC1DmhcidvjEXgvVDfWbihUolkZAxw/bdcMGR3uhdvrmtwCcM7NWCzt4ITlwTmTKuoctJzjURCiaziMs5ukl6K/I3pHUsUP6sIwZuwkPCf7UAhS1r0UX+sLs4QcJEuWLFmyZMlGlpCDSxaCVaCTlnyYxO8ULNuxdPOCZXHf+LDFFB999I24yTi1vMZuZ138yCOP2bH3vRkAkDfS2icj1ssXTNjEyr1nru2Su/idNNZZTvYOGfWr+QrHK/PGWmYdKHYGj9fRA+yUx2z3U+bjsqg9PYj6zK7VURluXdsOekWP6wpL826UgRCBN1D74PQ5U8T+zKdM3fqxt1klM2zGsUHPCWZHBO2UPXgoZrOQBtY5oNqa4uLyWnvPZx++68xeVcsrFK9kTFw7d/bLitkYZ8HEO6VKKZVGKcH1jVTZxiV85SnF2DljW98Rq3rogd9rtz9m23vFx8m3pZAnRUGXMIhxuO/pqTnON/SMxNJfUkFzgDfUlHGWhnLz5THl9Oq6vSooiq3dI1fGCHk718kZuPWUqWtekBfTcdy88VHTPSjJ77hgvQN5t0sial5lT6x+p+yM0Qx5ZAhhyJQhx0Ao1Z7ZOdIpKDn35DFK5yDM7O8zxqA/96KVebnngfsAAPfeb9ktO7a1c7dV46L39spb7aNUBvk+V+hWf0vXQrdBhGBBxUjnjwhh04H8u4xED4nAnL1wgYtzZpXwPq/fa5lWyuoRoqQx7JVTs/EYVOKAUAsf43xfHAWpfXqGTR+8iq34W+IEKN6vuSX1weWcmVKE3HqMs4FU56H2ks6af8zm4PxwrQshcV3v7Ve5Z3ElOq9rY8feodLspz5ha1uYzNHdlno4RGu8sKp+VyblY2R9F5ERldE5PWuDnezrwHRq4tWzhBwkS5YsWbJkyUaWkIPLFgJCGTzm6rreE036FVXt3kals4ceNORgNZ+74mHJnexsZvHnh+57EwCggO14663tDBdxHMfLMWbXatcuFEN1zjuvNSCvzI7bri/QMHd6RQShogcUvaSXvUzryzN877t38R8a5qIvDuzeTs+sf+581ry746sWc6tYDyI2DWY85+PveAcA4Nc/+usAgHMiHEu2TfXslQHQsw255/UKEZigOBNkQfniiyW5CXGIPWuD7hHEoAqHUvyz+1lAGgrKc6ZHyW/u6IWcsO06TpUzYxgjToqttrFFRW/aq+Pd5fP/Xnt+ZXHwmXn+9jiHfMkKm56YIHrApfPfpaKmuvWs9KeaG+4xY4y8DOXj+Kk0CNj3mj+K3XtOdoyuunlI3s6N+ww5ePHZp+1u6L6fn5s33tKDjJVd44Lvz3mtglkPO2ZpSEnSx43i4kKc4uB5hWxoFzAgSEKIrqrqaC6kRFwVe/tsY57jM88Y6nF8xfgPN4iaXRCBkNJk789Eqnz9wNFXXFrwhZCOcqwoqswbVYaUt17x5KoloOqv4lNID+TsRdZXeeHUj7t2w9qbE53JhFZkyvjQGCMyll1C5QCHN2JULQ3yH1QZdCCh2HHUAwG9+24f0DMBpJHWBNcDzVXpWMxXRAoL1abZsR/GGQZ7evvSExnSf4TQ9KO2Sv01xODcMiFtWqtWM3s9XRtH45B6Hm988GEAwK+Ro7HfibM1Vj7ERCnSuQa5EBjpHHTI+8lP813LA/tSJKxw+d1XxxJykCxZsmTJkiUbWUIOLlmMPfbtHjPFoxiT9tAZt2XX7zVv5+DEdrPne/Nm8gJYVtSh1+vevO1FbghCv1UM0F4b1WVQ/G0cOvNd545eHXqxbBlrJFNayEEbg1dwlLLfbMZa99p9u744md+MGe/JUQiV+BCKx6mWAPXdmRkhj/H0zO4/so2Hx0cojux+C3pwDzD++knqkL/j8XdZ23hNoRpi1Oeenz9maau/lK9dM0a7pOojpKcgLy2L7qlJwU4x35Jxb6n0KV+9ptcix3JFb3wvIol7zswUoKdQHpSja8sT6GPjOg2zhR2zI89D5kpv+ecXNXTvQ9wKMb/5rPuJYuJl5GBgYTNXnmNH3pqQIPdO7lJdIzelHXtdYoAPWQB2r5m0GbrWle+kjXFEFC4nbNVNODebc+MYYGltUVXCFZVI+0J9zDx/r1rZsy1EdeLYg4x95vHc3gkJPITPXTogAq2kzrjtyPM5u83+sjF3/ZiqqM7doG6Cc0+EWkj1buBGiJfRc+528gQ5LoZqnGOdENEYAp9FxSW9ILegXtszffYpU2vcnNm4u/e6VbG8cnSCdU50Rnn2XsFRtSO4HubSOxEqRy+dMfXdTuIMfBbMiCg66mTseN/M7lJ9hLjLkNXUAuBaMyfaOTsgekUEaN+otgKrLgqVEddE8XwnnYznk+akFCT9GV0O3ntcXwgJEUaiMlqTCaTgmNlJQuQiERIpRe6D6mVIm4QHFi/t58c+eh+Ln3E3JOAwHq99uVbGS572920JOUiWLFmyZMmSjSwhB5cshIAyKwZyNndtR8x3v3HdNAyu3WRGQlSc33bOzz3zWVybWdyx7M37ulKY3kHxGBGEmXmhNfXb3aPx8Od4t+oVzeRJUXNecIa8EDhbu8WO51at8rZTxTLG9XvGpbmDFRN8Sw9SdesbsXMZ39vrb2YIzPi9hjHmLdt268UX0TLmd0IE4Qor252Tjf6ZJ58AADz8ZlOOlPaANsriWvjOXgxv7brFh2D/iVndqM499fwRMHAsxK7mdyt62crWkAfsJQf45/zIvJjnnzeOhZjjqpOhHPMZERd3NTNxPFp/zjPGyLdEWaSEqbx83e/dJcyVaUAvhs9Kz1j53dNaDVLaixgqvUlTQyjFlmqdGs9SBHQ99xyjvxUpl3fjfBkiMSKrSFMgQBVEWyzYx+K15HMiYMfmpW+pLCoOypqoVHYz4+eGJNx7j6F3bT5GMYqouC49cWUDKLNEWg32JnRndh/2l3vKk4qgPc95684tXoP6JkRamr3i5Iopx9HfUrkUVyV2LWp6o0zTH6prkqNSFELxlH3CPqXHnKv4ZGuNvzhjtge9c7H6Ff9/8CFbj+TtZshwQPVO6ZXoPqVSuqdaYU2tAaEx4ocIcigzVWEk74NtKtSxubKB7M+CvKm2bn2NWTAbQfocQvFaVcKVAqh4DxzDQox0n15pU1wN579QP2CSxeLVGfv+ruQccVBiMa0dYf3w8EOPsO32O6FnoPG/pKKklEebfoySihXlWQzAQCbR3NO49aq1fqCdQwjTXevGF24JOUiWLFmyZMmSjSwhB5csIKDKZzgiO/WIXq8UwirGx1VT/OmnjWH9HD3KzfkZZg2Vu7bmnX/nB34AAKANrzzGnjW+Z1Tl0463c7175RLb93J6pXPFyVW3nRrzOm+VZZgvx4pu0mMXi/z0wpjKUkZUhcjQEnFg3r7y9KVBn9HrrRRL9t0+a6UrU6Bt3TsSqkDxNNz3kKnG/frHPwYAODg1L+z4GuN23BlXZLPX7Cd3xsUDUQaJ4qCMf96+Yyp1N6m813QtZlJjVCyRr4VqBogbII+P3shecT8ypPs7jJdD8d1+dN/qD1m4xE0Qa76iznpB1MU9RfdkxkxpVztTLH5S3XJa3bHg+HCNDnkcPdwLyQYxCADAlloZM363nCv43OsLdrgU7yaZFv63UC7yaRR7VdH50AfPCJDXWVFlbknuwanY5lsiZdTYOHvB4vviLBwc2vHncTw+pBsw5KQTcXE3yFMs4O/o/qRvQW6O+kNe5a3bNlbFbxAaJhTHK2CqlgfHfrhc0AFAiNIbGXgwmeo6CDkieuExZ/UlLzWPRPcYxz99wfhFqs4qRKK6zzQXrl2/ynuj0ipZ/tv9HoHMePFANMZc18AzppiVUpJPxfGuTJxcogyqgyB5FbYx57ohhG59bmvWtt8jEAHyOZQpG2OMTh0srP1FJWVDO2634f2Q/6N78IwJ55qwTd24emvuc2LIMhLApnME1W+hGimHHp564km7n1Nbi+dcq6UcqvU108WlmyD+A1voIqiIXuclTggE2WRd6Cb1GbKiRECNV4N4kJCDZMmSJUuWLNnIEnJwyapqhoff8IgzhhXf229sp/fc5wwheI5KaBtq6Z8wH/ro8BAFVeEeecSUAD/4jR8EMCjjNcztdR9TOcTKeaVOgvKYFTvrmAetjbVU+mQeM4sNVgtxCuxFXkLNV3lXW8YOd4w1lvRKWiIIHZGDghwEMeHdu6UnoRrxLWOKxXKOkh6Q8s43rBo5p8f3wCMPAgCeeMYq173rhsVtRSloWqkRmleuOhFtp7g343Ri6XMoKzd/zep+x8dL92wV19eWOHdPP476Q7v2Wt4tPYEZ0Yg932eBRZREllTDQddz7z/0niOuyn6552mT57GYpKnQwiQu7kiA7ptV6+RxinnvVeyzS0iEnAl5thxbiusesYKmbPBa5BLbq7yszaZRI0fXEqdBnrgz8ovMY7+qUCd+y+GJjdnPPm/eeVGM1emee8YqHZ6wjYo19+R15FL+E2IwFLrH5f/Ii4+XkAPNTdUIOKLKpLy007XpGajyn/QPMtbzWDODYuA7sJ+IcjjvQXFhtqXICkd42kztsjZ10gTgGxWfaEFUZnvbEIIX2S9SqVxxfh0fWr96NhMhhztbQ2B2Yv3HFsVOehZCCc4xFAAAIABJREFUMZV9okwr6V6MeS1amyLnjdbN2Op+yZsgstDU9v4LRDkaZivM5zNUC2VESI9A85qoUzHmJCneL6SgcW0N+3xG7sKCnAvVZththY6QP6D5KJAsy1x3QAijqkwO3C2pNVr/XJAHsxF3ieuiMq4aVYjleBI/Sm1SDQqftWHQ5wiebSF9hvE6ICtc3+PV8/cTcpAsWbJkyZIlG1lCDi5bH9HVHfbMe799Zjvc7c52huXMdnYP3mdx8+MrRwAG1vvF2S2sqUCmDd+Cnm90Lf1xvFvVtRS3LHIxfukJSbWNu/MzMmFnpWLLdhpVF1vvNqh5rWvXLM64UPyynJ6TjGd+t2R8b83qbLUQBXp3PRnmFWspVMHuLeTSK5fH2HqlwrBiLJXx2x09xqs3TZXtDrkSn3nS4nYP3W99K9Zyz/rrc/IdLhgf7+SViMVPl2JBDYY9teOX1QL7Zqx0KXOWPb025WsvGHNWtoYqIJZ8zsq1RkFOCjkqDLF6nNRj+yF6DLTM5DUSOaBXUd2FHMSXfp20WXH+QmkJQiscadDbg6csp9mRFH42I6taHBNfHcanQi4UTBodQgyUH99PVOj6zl/ncyICLZna9MKOWAGya02nPupzcWs2Niav3WcZQ+Is+H35ox1zONQWV3ZwTsclIIWeYpFT+599era2uSaexJUrlqXUsyrplllBmrM1tfRlpXQ1unGbpGoXYxyKbzKFxusT6G7oVZ5fGHpx+xlDLbsNdSKWhhQcXqPuA7/X8VmIR9CxKRnXsBVVMPOqADic/XFmY+/d9SB48mbHNUu1VHh/A3LCsU1VxjX5ANJY+P/Ze9Ngy9KsOmx9Z7zjm9/LoSqzsqp6gG6MES0Z1DbQQhghybKQERa2cdgmbCE57HB4+OEIyw4U9h87HCFPYQQSjSNEhEBCAcIG5LDE3KJluqgeq7tryMqsnDPf/O50Zv/Ya333nVtVVNGVFdXuPjsi4+a79575O+d+e+211xJPYjgwhKY3TFHFUhnVptvcGz2rqryNAvouByEAem5yXE3OJq1j0rMu8MfG0OPYBZ7/oeskfQPfQEDkZEgkcY8Kk/J9qHjOA+6T95jQxqSDwH33GjX+foRvlUqStuuikFMhpqscmvOqm+80OuSgiy666KKLLrpoRYccnAsXOPT7EYLIMqjLV0xF7BKzlYg1+Dnr2RPO5u+ybn7/9h1gYd+5uk7td2YjgbSyWUvSDNeFqoMrI+T3obfbPcSzqWVQM/IgQum9a+bcG2DGGtjivmUZG+uGcPTJRWgq1YqZ66qONWbNUSxa6ZtX0ru343UZe4tLO8YeZ9AjZtZxFMGREzGXLwOz0pBdCNOpbeOpJ8yl8uUbLwEA9o8Mebl2wTKhxDso2i4uiGIwsUSPzOhQ7nTrhpYU+6xdZwCImCx877TN7GNmCMNQegc5j4da8UROAmZGYiHLhc+r+UXtWXzJDguJHbrKoal1fZnpc9slM0BHxb+lkp8yJ6kUqo7dfl+5onqkfbKvDDRczv9Xfd5Vd45YA5W2vtJZMf5Xmf7aQ2WOjfcMaHMQhCSFauJH4dGYOtRx2TZT6n/EHP+81XB6amN4cMnGT7LJ6x944wo7BnWxSBlSmaFrP+KEMFV1hZgbScS65/g9PrVxviBStkaOQcXsTLXyppa2ho6b2wi0DekbKBNtZ3mucT5LDQvqX5DHdHps3ICZXCp5XOoMGjNbTXnt/OmQGiV1Q4IB+QREEipyD8QfAGpkZNWL+S/+TiC5VplCBEIIxTHhmKvt2iBX94shBOpGEGcr4FNtZ8P4RX16FSwwQxGRM8D7pCBimBMBmJJbIP0HcYs8EsBnkq6Zxrq6eZz3UyFHxyNO9r2FnoV1vnRldFK4tPOR8F4qyRNa8PVEPiB8TsoPY9a09VOkc6CsP5WXi7wseMwNsET8IESJd12th4pQGqkuSptieUzvNDrkoIsuuuiiiy66aEWHHJyLIAB6Q4c1KgAGgc30bt+3rHbKrP34xGb1J1RKU/0rdj0M6ML4x7712wEAvdgywvkh+/0Dasl7Nq4Y7cu6LAAUvne6nTH2uW9SbVtkVExkZjnqDzGiLvkJs4/DQ9vPIZnL62u2D9I5UE3Nu+uxdjbcpIqaPAQqmwmfzIyLccaa7NHczsuYaMi4P8DattVnVRMs2AMsoETe7jGzzQ9dM6XEz37h0wCATTYV7+2ZXr06AXqp7UvmldN0Hu19sZSX9e566Y2hUipn7jVV5HpENRbMdLxvQanrGnDbtk+np+oxtmvk69uea6DsRM5vla87KpP3/dmsWy9J9W2FMyEGy24U9YxzPfxeELTn+at/N03zOv15Kb8NOF5Ua/ff87XmtpunOmsyMsZD7264UgeVMqCcAesGFRnackRUlp2ob91rUNj4Pjk2JOnKU8zehEjJndJzc9odIoo/6G8tqy6cU/JZMmafw4Hdu0JlFkIMKvkg8PpzlRHRPWW9S7n+Nvs9EVJVFDil5sjkmD3/M2Xxtqw6J9bo7yG/B9WpPTldSoncaEVkplDXk1QqG3UUsIZfVx4Z9JoKvtFDqoJyLOT4UBJLXs+M6JccH495zWJew0GfroZ83miYnJb23EBce8a+nqWqnKsrK01tWfX1Sw9B59Z5bYa2Yqw8FGrvXkhERTypSO6dRHvyyp9LeYXIE8FzLMTR4vF94P0fAACMhlRIpNeOnGnlyRJ6nxNvPct9UGeK/V1VpUc85B3h1RQ94NHmsFWy6Ok4B1100UUXXXTRxbsVHXJwLlwAxH1gMrc6p1wN/SxdSQcLfGKrel38vIexs/pkL7JZ5Omh1f+jhVSymF0mnPHGch20VStTVPYpZ8TYz5RtJh2FqmNZpizPhcl85jshUtblUvbAKtOVs536bj1bn1PmjNmsjnNMZrPU3NZ6doxJxZoh2bkJM4n5fIGTW8bDaLgvPXYAjGfGfxiP7TVgL/WoZ3XIpy+b9vutl421PmbGEIyp5qj6na8pUgmOjHHVjdUPXLvzanlSoZNiXztL1ZS7KtqKdzpvMfdVGYMY1ENmRioLlvJUUF97sOQIaF6vdXi3zaCdba9O/2uvx8+a8opSmmfCr3hz+OXreukuV7Z9HIScrIb3olAyJhRjRZVN9d/GIwdCTnRoyjidJ2IsvQ7aGglS5YMyJ6JVIv4X5ElUWl41ZL/P7Xxn1aPEZ31R7Ov1p0QE50RCRkQMUiFrZOeH/ppISyJsnw9pN3i5RrWF2IKzqV3re0f37O/JzF9moXVyxNzYtnvMu5GyOyOTrsOAWWm1+mzieSSCUBKRFNtdnBYhelHtULNTImLxOwR5T2TMlwXHFC9NMbVtHh4QmaRugZCG8Zrd2wM+N2LW7IWWVUIo6a1QoUZNXkMiTg4vuHRShPKtdt+IvZ87dXvxa0KSqrZvQbSCjklJ0nvV1M1SI0OKqtBX2n4dclb9pg99GADwse/8GADg//zVf2jbXvHL8cgMo1GHmi5etPw5liqlf17wM6FV6qBayirqxHQ6B1100UUXXXTRxbsUHXJwLsqywv7BIU7O9gEse+rl5KW+ZU3aVGubkUmbFBlmhX3ntZvmu/Dszh/jOqQ/zqwzU53P1rWqW+A14qWQ6HUQbIH5jO6DZO+vUzmuV/QxZU+46miqEYuhrNnngqpqUvKqYs3G5T5nGYH86NMhtQXE3mVGNEwt0xrElomdnZ2hZHagGlmFdg1Unvd1n86WD+1cX9izzpDZI/NIuHPzJgDg6W/+kH0/lCKgetN5TZSlh/IusH2dz+dI6KpZKZWV1n+gLNzeDnxmzTof05CqlD+EZZI91kFLso/rWF0aMfdF9VzWKKPQZ3bS24+IcAQxURrp7qs+LUe/FcTAZ0Q+S9dxv/U8X9mWxlKPGhzqt67reuX7bQc7ZfU6LmnO67jzoo1aLFUKfVrr1fJKaUhUOkd2PpRtLqjnUdONb5FPW6/h0LLTrGxn65Hnf7QRlWDlWFwQYD6z+1acnK0dc3qUqmAml0UhAxpjXl2R9esVt0upFZ5QL0T+J1I9FLp1Ye+i94gIenq26L7hNmOhe1QlFIfAIwK6Zho3HCfLdifuY9vdVatvqhoB0ZsgkM+DPFXsOwX1Gw7Z/SR+REBVyo0x0VLyIcSLCNmjL56DV33liue1jf0gDJAkvdZ+iSNQ8jnpeM517jWGxXuRxohC2iuKYuWZ57UHpEApJCWMPZKqe0zopDoFNJbEewoorzg5s7EpNGJANAgr3B15UPhOGkmWeIfe0Os0rDYeCH3QOdSzWshBL4kek7NCNzloxWw2x3O/9zmUDVVBsGx7ApYIjm5UPSK88EbQoGGb4937d20ZkfkKuxFikpGi9vNlacHbfuYvYWK+ISOi2kvf2npF3EnSCCPC3I5Es5ziPoKwJeKhB4WgNrCVbY2tj4c0MTo8sUnCZmKQ54gPz5RQfsb1HnI7LokRsuVKkKLKJwodfiVoOxLB0tZx+YnLAIBbFEc6oGT1+hUzkvG/895qVS1tNKjijVnWFRJ/rnmTeuthi3AFmi4z3tz6kUCbHKRJ4mxmD4Pa2+I27fU0yxtc8td5JWtZO96UBFM/CfA/as4vCyzFgjwhkduofenCCya31qNYhduB8+1sXHKVDLmyDv3YS7hJD8lKxjxqH1Rbrifiad8r/10dR1Xoutl5GAzsnB/vm1R5LNGkysZYxR+aJFZ5gMddiPDJe7aQ3HjUOv6lwVmNk1MjzqmM0F8h6MILzrRlsWVMdsYJzJxluqZoi0qJPHlxzcasfgATb+3t/A9GI+tpSW97lqMIyyqN2dsaWyVk0Caiq31ee4eh9phMGrYAcsJT5TWCRhLCJOfxIXRw15Kku7cf8HP73u62kYTXhvY8CCmslDcSR6LMsPqN1arnoXImOomEiKKl5LL21Jey+MrPZ5Q/ln20JxZSJK1lvYzlhF/JV6GJq7c8V2s5S7FR6tuMdZ31nGwks63207CdPLz8khHXVW7KVI5aMVVb3qmcfKzYirug8cflk4KgfS/qN0nPhWjF9O1xRFdW6KKLLrrooosuWtEhB+eigUONGOWyXwTAUsjId6B4cQyRwNRm1qAKbUb64OA+AOBsQeGg2uDDmOUFmftUhC7jui3aouxFs87Uy4O2W3hykudmLIHMppXPLpR8iMyCup19JJFKHYJeOSPmnHFv22DWR6dEEA7stSgsU96UfDSXP6G5kgOQekGd9kweXsSHu9QoOyPBiilDn5nh3hOWdd0+sCwm2rbzKEi8IDSsdjnB6yKTVWV1jvzWzi4D6aEqK1vJjL36Mb+3YBmpz+xWhNXGk5kqf/wAkMQyqCl86aaRIJBsbmOVft5ehG/asthuh1oBAeCc81nGqi30W0W9giAIytW5LlheCTyharWcoCwnA2SQo6SSLYwz38LHc80W3U2Wy2ZslxVJVogUgbRlBqlr7VvViNQoE+OxTKcTfy9tb27xQMF1EpUjEqbyQ5ELwtXhscVVcuIsL0W+RKhr61p/FxovDp7lKCOx11lNa2T4S8Ux7BGkFUKah995Xvi3UIGQ50tGTq5IXyc8JCv6o0NDVlQ22Nu9yE0RGVE2TlCfQCIilk49uVqoDZ+rBREFoZ91VSIUeiGkRORHZuUZBcpyjjVl3TrnS/MsHj+fbd6ymedPy4tMqDJDU6kVsvL3kNAKfaZnlcaoxprEsZ584ioA4NYdQztdZN+frshqS1wp1nPagyXLa8WKjd9/vy3ewyLWqnQjpKmsu1bGLrrooosuuujiXYoOOTgXQRBgMBwiFBGJM0WZXzgv6mLfV6m+9BalFcJA8r4kmkUkf40pj0rSSiOjoF67Luc4u1ZNWkQHkVwizYyVWXhDEb66yC8zZ3vjyeFR63hSGTFJDIdT5SGtWUvW80KSpFSTxZwtTPuGINRsK9vZtNrjemLLF1WFkAYpjrVUEREdM8U4EQGI9TlKFYu0FIigtmFIwYW+fe/WXctqnrr2FIBldq7uQWWQaq+r68WyDmsvS9KfMoCoXY+ek0sgAtoq4rAqJiTZ015PoikrZMKmWc74I40hibGojtlGL94s3kzsaJWz8EbogMitOo63ixxonMjaWVn+mAI9PlN27SxW2ZzaM8O6QRhJ7lXonL0+eGh1bRkMrdPCOU1lhqQslMRWCsuU5HD0AmWr3Gd/jO3MSihAnufYppFSJCMp1rPnFPeaEzkoiCQkRKsGFLsJvAAT28vIKyl9Wxl3xqm23Bb4qZtz+8dWRd2j/jnghYg0iIn+aDzpXMdCx7huLt9I0EfIAWWGRa51RYMDPh9eu20Zr0huly/IYM7ub6W4hTfmUurLbQaSBxYni9ksn6fq0o0ajdlzzzKiEdlU10eS1G2xomEy5jnULvG5t0pA9ek4kSjxrvjqje64Hq2wqmtPbtZ7tZfBFiLG7/I8bLL99Hu/53sAAJ/8f/8pj1ukynYbaSOUU5Qfv7lly2MqkrOIy0I+JLDF67tscebYenu39NuKDjnooosuuuiiiy5a8Z4hB865GwCeepOPHzRNc/ENlvkogL8G4NsB9AC8DODjAP7XZulY8w52CkDkPFtVdS3PHPdMa7W2KF1Vthb42eSd+yYC9Pznfh8A8F0f+dO2CAEFZT6pWhs5kx1EA+5Lu4as2axnMTfLbbb2sSp9V4KviZK5H3ohkPY6xfw9ObEa44DiTkEivgNbF2mY0kvt7+ND2seylXNvc5f7EizrdYWyVc6KG830eZiSNSUHY8FzS+oGXGnfH1LyeZuz7VuvvQYAeOaJK/Y9tOWEh8xqgzDwtcLVc+fNiYjSSC73jJmx72LQPksUiLP08cj2ac7zPaZ5kre4VZue7yQ4Vzr2u1K3vyu1n1WrZrfyWuu8YiW03OtTiGXnC7+xMsZev0x7H8Q1EOKQsHVVstEN2rXVwO+rstkSPR7fguN/nwZZelWdeoPZWMGsc2Pb/o4ScQ3Ybhq0rXrDFRGYhN/XNZpzrG5sbPpsW2gCZGHOdWg8hBwfso/y1rpqcVSSusIo9/ew1INW7LTLovJjKV7pMlmCLhqD5CiJsyH+iG+TE+eA9zi5TRFlyF1BJIL305z2yQd3H+HhkZ37dGDX8/JFu491z6l9Mtf5kRCZOkjUSKhWxVIdEm3hISf7bO6qsvdskaHyzwkZcdkzK2ZnR+PRlzaSqvZapxZQXpM8E7cg4/kRcsdxIt6RlyGXMNrr74JlpwvF5FTfZ5vlMbteHhFRRfsx49vNS/+zofuJtva+7Y3bi9ySM7HSkhkJOZMYmhBX8Ts4Ir4WWhlPAPxPb/D+ZPUN59yfB/APACwA/ByAQwB/DsDfAPAvAvjBd283u+iiiy666OLrJ97rycFx0zQ/9lZfcs6tAfhbMNrzx5qm+RTf/68B/BqAv+ic+6GmaX72ne2OA4IItdr+G5p+kEkLmSH5fl1yE2JmfS4FKD1656bVUD/+f/wkAGDgLJP92L9gdakzyiqnkTH+57RZrpzYqO1ZtjIfZRrqNJAMrzLnrK4xI3rRo13rmmqrykbcMpMDgDi37+1Tz2BKLsGoIPIQyHiFnAWy9Qep9Ts/PLRjvX7/JgBgY3sXQ4rUyDrWG8AQpRhwXUMJ8ajHmjNl9SNPeLwjzvw3R7benLXJI5pg7W6bhW3ZMItJlWkFnhuSeO0IZls8H4XMfwY0pBoYcpAzy0xTMYUt25Lkb0p9gwktnFUfrVVTxTlhGykyy0HX96ezhsh6tfcwklGOo2hLwgxo2eYBAIibsL0+x0zLo18UvqrPdWnI/QqyiBWiIBllZbptgRVZlatTQMJF6rhZSncwm+H5KrJTbi5APhMHgLLfE9MzkHbGYmLrnLDzRWz1dM26Fpwse52snalnwTGv8SauwoLrOZna2O5RVwJpg2nGezCltLkEtFhLV2k9byTewyzVawqs9OY34l7YnwKqhBLWhSzSeY9Xpbdajsn3CbgvDW9WaQeIs6KOGGlepRxz6dzGrrJzdVRVrHcvpnYtHlFc7MGdh/57/YvWjdCnRPkilgy63VtZacuKFxN6L3J78Vwe3UeslyfBSicBM+cF2fvFgs/RskLSk8y6zoMtK7GshcSOcnIGaJdc8pzKRAzSmuCrUOB+KkEicVN4nnjNPSLTNEvhOa9bYS+e30BEtSavSmiP0EppUDiiVj1erJOi3akjMTrxCiJecxeGXpJ7IahZGi18Zmsfde71TKvweFAD4P8/nIO/CGAXwM9qYgAATdMsYGUGAPir78WOddFFF1100cXXWrzXyEHqnPthAFcBTAF8FsBvvQF/4Lv5+o/eYB2/BWAG4KPOubRpvLzhHzqaGlhMgCyXgl67DiYjEs2cfQ81Z4Jp2seEs+EF+2lnRzZT//hPfxwAcHXvWQDAtcvPALC6IwBsbFivdaNampjlmq2GnijAbatbgbNXqfiFFQIy+zMqlane2GdNsde314CXv57bsv2KmcPUMqrjU8sc1tdsNp+we8Erx3FmvL1reggH7MR4cHyAmH3pT1wxpcO1sdVvT2lnmpVUa5QEbSzVOGVlYuFSzyFraw9cukj9gzvGPZjOLKtdH1ttWoYsaZqcU01ThiyGOLchljCztgG5AzNmln2pLUKSv8zaObWWVHOWyz6b4U2Uaq8MWFXqeWe26jy5gq9auGy/is3Od1Vzzpkpxr5euSKxKS5Gs+ynXvIz2p0Nb5ZyqHZ6ytrqmOdYC4hzoPtA0rayAhb5uz8cYc5zKitmwXQb1DM4OZFMsmyTbeytrRn6tYqMSJI4ToWkqaPE9umYtuUJEYMREa0atUcAeDmRc8xUXv+i3QkkzoqyziXios6Qtu6JzkOV69rL4pv1/zjyZmARs2yhWV4Rs2pzdSLHWrwQAmkOQGPQHn/Hp4aUnJ4YanN4YLwCXePxBTvf21tbcNRpkCL3UmLavjwK+jxnTes4Gs+5Ylar+6qS1gIzbJ7XjPX/jNLvMksbrfURCrQiIWpO5dc5FVNnfJUpmjcg89yL9r6nAztPPXEWVOf3z1VpURBpEgpWVMhL6da0ZRpLcgS8CVLTfvY+86w90/Us3z8xRHWRtXkisoKOvC5GeP402raImL1t1YLzWiSPCTp4rycHFwH8nZX3XnXO/XtN0/zmufc+yNcXV1fQNE3pnHsVwIcBPAPgi+/KnnbRRRdddNHF10m8l5ODnwbw2wC+AOAM9sP+HwH4ywB+1Tn3x5um+Qy/u87XkzdZl97feJPPfTjnnnuTj74hXxS4/eX7noUaBUIGWDvO27agmvE157oVBjQdQaV+e5vBPnhkCn8/9/N/DwDwV37EqiDK6jWz7XEKrTrW63rqG2UhmoXaDDhRj33YR1G2zTkWhbwVaK1MjfSImuhMxtAbUuefy03ObLkJs/K12DLqakUJMGL3wlA2s6MhJmSf379uvdO72zabFgu9os5Bsdqfv1pL80ZD9rlsqJW97O4as/re3Xv8vi23ubHpz5/MfXyGrJfG/8fOlyQnmHUErJ1Lm0Fa67KcVW0x5XmT4Y7q3cu+/woN1+WtVlkzRyC2sdj2WoZMZvFaQN+KpYEsWgfjszf1jnPMKrtHcM4yts1nCbyS32oIGaBRzsKyevV117VY6kStdC19jVYZJDsM8szzNRa8x9Y3DHWanEq/gHoEc9s5Xd/h0K5nHA+4T3bOK+kccPxnHOvH5KII3VujjbA33HGNrzfnmXfZsO/o8Hkc6qEXEOQ7hXSPVm1DqlXTLGlxON4nfgz4awjkvKf07JFRUt97sbAmz+4meUksJobA3b5vCNrxkSEGs9zelxnS9iU7z5u7PI9Ew1zgPM/HZ8IaGJ5EwuMUIqQbpVlRgPQ280RYK6lS2tcD2U1zfWruKKoSs0y8DB2evCaIDBG1lPKqNEmkXppwjA1oP64ulzOaX6kbLJEvDBEpXQkBbmVQoil1vOKYcMwym1c32GDIzjLePz//i78BANhXFxdRP3WexByj6oYRGuQVGL2ZXOh/mf05X+lW073sUarzLRaPqV3hPZscNE3z11fe+jyAv+KcmwD4zwH8GIC/8DZXp1PzuLgYXXTRRRdddPF1G+91WeGN4m/CJgffee49IQPrr/86AGBt5XtvGk3TfOSN3nfOPeea4FvDrIdI/bnqrVXNcMFaFBMwOcqJH1BWOc6O5L7IjIa1dGWRdx6Ywt/+kSEJT+49CQDIM/WQswYZiSFPa2evyqjMi7VZZj3xQhnUAEO6Mlb87oCZr3rLZencLMiyHRkioA6INfY3q4d2emandZ6I1d/uLff1O1k7xzEGHFrVsW1rcWC1z4r+BNGmbTOmP4PXCl9RCwtW6r4zdnV4W1huc3vbatIPH5qnhbL3JOmhKFZ7/5W9K0PiufaJNeu4I3INGqmPSeKNHRi8Nn3PtJ9ycSIygZTRCjjXzrI9a9rRU0D124rdBexiqBoyxcUfCZWl2dfl2bBERVQHl0qduAshnCAidVFITm01k/X7KFc67TvHIi9SVdO6N2ifD6EfFRGHggzzOHKy98CYev2bW3bdpqePuC9UwiNSsMv7o99j94t3SrV96JNLIGvnI95XQot2dmw9UrGUolxV10ulyBV1xaW4iGrqfOE2l0z5FTt13h8p69xSlBRvQNbW4kPUtfNogzgpUheMhSRV9BAQp+DM7p8Hr5nr6wG7D4RGbBC9u0j30tEW7y/esxnPk/gFddDAyZtZ957n6Oj4itY5bFbQTD0H9MwLG9Xk1fUhV9OmdV7U7ZH2Eu8loOsjNFJWyqW3mubnUojlNlKOG7H5pWexYOdVSkRBSIrvtFA3BL/fVMvav/eOYCeDsna5sUZ928ebN64DAH75l3/Jvqd7U0iduoO8bztfVqh1qdDEc8qlq5bNitVlw3PLPC6dg6/GboWHfB2ee+/LfP3A6pedORU9DWNuXX93d62LLrrooosuvvbjqxE5+ON8Pf9HfcnaAAAgAElEQVRD/2sA/i0A3wfg7658/zsBDGBdDl9xpwJgWeo4HmHIXnpladLjLlKbXaquGSjzismExcxnAF5/u25ngOnQTvkTT5lGQMjZdJaVre83zHbVpKC6pngOMev/NYt06v/ND09Rp/b/EVn3qtf1Eps195ltnhJByI7sNYyZjXPGuz6yvl3pO5zyewN2NYxDZiWsA4rx68oSA/Yt93dZI6a+wdmcnRAHVhsNOLPf2rGa6EDsYmYnSUoVPjKIi6ZdxwvJr1gn212Oio/2bY65s7OzVDaT8xqzC2X4YhvXnqXd9muv1UO9orEuTX3vIaD1NNIskPphjiYg27pus6blPeF74MUMd+IosK+banTKlCKPGBAhkCeF92gQp4Nj1SVodO6QtJbVY2Dpvqjjor5BxmtFSz8X0skOYlRb5DymEWurC3p7HJ9Ydnthd8enZZvrhhhIJU68FukabBEJ2t7Z5ba4ZxzvKceFY1YmNEzI2s62LaftSYhTWbxz4TJ99uqE4LaELLW7DJxXLySyRKQg6Cnja6MAGhbea2AFmEnC2NfUfadALaSAyo4TO4d36fR3sn/ME2EvFy9ZN9DWZTtfLpZbH8e2dEZ4nqRyWNTLbDb0Qo9tTo50DVY5FEs0Ty6uYeu4ylyIEzsP6KgoB0TpBAzYPeV6AQLxepTR87Vc7UZghiy0NiUyGxE5yPgcXJBzofVGfT4DIBVHoSBcsbQsinLJBSAKF0XiZJDXQK5BWdpx/c7v/BYA4IAdIelQ3BWuU1yccgWh0yXQ+PD39LLDZ9lI1NZtfDP31ccZ7wly4Jz7sHNu6w3efwrA/8Y/f+bcRz8PYB/ADznn/ui57/cA/Hf888ffpd3toosuuuiii6+reK+Qgx8E8F86534dwKuwboVnAfxZmGfCrwD4H/XlpmlOnXP/AWyS8BvOuZ+FySf/q7A2x5+HSSq/o2jqBvl8sexSIDFYcvdubHOpuGDdijPBBbNiVwY+xfHdBClVsMghePHGCwCAz75gngsf/RYDSmanlvkMR1YzVN2rlLqarw9zXziTlPtg7LW4lz3/hw8PuQ+cPVPjW46Ia/JxkFIg+QtCIQpOX8OaNUUqwJ3u2/or6rRvs/c6ZS0+bAKvFS+1uXiDjnabluGPWUM/mFKX/LbVUMUq39xhX7syPs7sfU9w2M7uM/ZB77Ar4v4D6zG+d+8eLl82dzkpt5Xqb5fqnGb28isI5Img1K/tvic6fsEabOhzZ3kM6FopNSjg2JUwo8pgf0DmtsQ365WsgiDYEgxjt8KKELs04ZdJn3rwFaKKJ+fWyYyNCIIyIvWpi02uDouisX12RD+CkLV01ct5HgPWaNVR83Df+DX3mPWGcYPdXUPMpLUhJ8DpzDLiwcjev/KUZcTDEdnnte17r2d8GLk7nkyNYzCnSuXFnYv8nNnbmxZfA1Sq/SqL9t4TcpWUi56QFPA47Lzl4h40bQSpkhaJxqgUFf39JMZ54GvnXhGPvh4P7xvacnJg94c8Fi5fNS7B3h6tZ5i9LyKqdxJSqOj+uWB2KwVJnw6qu6WuvQfCanhvGemA6G/xojgGIyIEAZ8TGVHP+ZQcp2mbV7O+Y4jkYESn2ixDXet6ESFknV+3hWf4++eKv3HsONlJc0a0SlwOx06RjOeh4OdhKGVZdUnJifccQiTdBqJR0qtIqGvyuS9+FgDwD3/pF2yfQj1XeP+Im6PnjKAC0YCkYcE/pd2AwC01D/jj06x0xAgyCPDuQQfv1eTg12E/6n8EVkYYAjgG8Dsw3YO/0zRtKkbTNL/onPsuAP8VgB/A0njpPwPwv6x+v4suuuiiiy66+MriPZkcUODoN9/yi69f7hMA/szj3yOuv66RZzOvWhcNpSFPhnjY1lSvIJ931YH7mE/tsymzSlSss7H2dzyxTOcnPv6/AwCu/TXLai9sWCaQzaRfz5kxtyV3OWUQXlPcM6dtpt1L+0ioQ5+zni+2vXQOqonc1YiEcHY9Tkc8DnISqLKmvl7Nv0KyaoUgzE6pZrduWV9/mCJkB0RFzQCvS891j0bKHmybZ8z8Dk8M7Xh0z7oONncNQehTYVGZhJwkG7K4K8+wtvOxt2deC/fv38edO+aQubdr51gulUqjpJyoZZf1TWYrPD91dc4rAUBFnkhJBTShGgXPexRLJyD39euitMylqESaUHa20jtOrgCYMUPdDl6lj/vu6+bSNZDeQbteDBRo6NNQC42Q0QN1LxppbKDNk8lLu87iHASRLV9QxbDxh2L/uXX7JgDgxq2XAQCjno2L4TD1Pgan7IB5dGBdCgH9SfaoobC1wwYk2nPG6iyg7v8pEYPp3PZta904BhrTYtqLV+FRH6lD1st6dlPIG4U19UjjgByLSFm3LVvQa6DwrottVUZlfRo/ujcTcnJSZr3FIkdGPtMBUb4HHPfqcnryCUNQNjap28HxUibS3md27ugsKQSJCWYu/X6iXzGVGCNpWygTxVKnwHMjNJaa9ufiJHnVRmX97H7KJkTJ6H+iLH99jx4Oa8rm7flSoEI+IwJYtv0HhIiKSyK9h5jbXsyooEhdi4zXIGIXSyPOia5tIj0R7nMhPRGLtJegydlVUcozpM3zmVEJ9cJFQ8G+8Rs/BAB47tO/Z+sk5ygTokwUp1rJX5e6Gfbi0eYgWqrycpnXI4t8tmistbQmHk+/wldjt0IXXXTRRRdddPEexldjt8J7F64x9nioGtEKs5xfEys/Ttsa9XEYIA4sI45ZU18wS8vpriWf8tv3bgAA/vE/+b8BAD/yb/wIAGA25aybtTHxH0rWmKQQGPB91eQrsrinTYMRnc1Sx0xQfdWs4ymzVY1cbOzpKbfZKDOg7j219JVxi4WbMRvz6mYTy+Km0ymODqxmGlI9sMfOCbniaVY+pibDDhUNpTDpPdLv07Uvs/O6dcG6GtRRIN12X1VqNIO210sXL+Hma6Yed++e1cCvXHkKwDl0xnsMqPqn691WVkyYfamvvWY2mxNZ6TEjOjk1TQfxQeqqRCONgEgOf6zf8xzL58J7LChDCMVzYMfEsmhsbzN10Ppr1cn995eaDtIC8BRtFd2ZwoQBO0PobJkXrN+qUyKSeqXcKaV/YPvygD33L75kvJr1oV3zZ565BgAYjnp+wMqHYoMclAEZ/1tbxhlRSVkdEdL9mM9sXKi7YWNsCIO0PUr5F+haepU/vC7EmYCWCVXHbXurlET/1Okg0nnF7HVGP5UT3j/ba7xfyJfwdW1mfxP6Hew/eITpqR1HSITjG95vSvHrYxvvjqhlw32b8rp6t0YikmUgHxjqAnCfpBcQSotEKXkllcLQQwX+M2WhUttUtwKkMcBnj9ArdifMjm2czKhloux3fdOuqVj8JbU9cidOS4OIXToJkcZGNXV1hvB558gxmJ8Z0jjT+eP5WR/beIr43Klj3VdLjxEAmLELRFwmHWNdVh5JVJeJlGbVSSPfgytXTIPj+7//zwMAvvAl4yAs5D3D81TyN+B1Q1CXguOvKJa5uh+Lcgrlcej9pSvju1dN75CDLrrooosuuuiiFR1ycC6CIEA6GkLZVslZalMqu+MsPWrPvuFn1iEk9aW6YsLsXWpiBWfZAbPQ3/7UPwMAfO+f+j4AwKWRzbLPjsmqbbQ8s7pCaAbrvmKxyms9OwVS/p/1tYoi5kI6NEsXFyHisumMbFvW0heN7UO8xdn8mK/M6pRhKutNjTCMMCuQcb9OqP1+ds9m+HJJi50UJOmEOKCCGZGFHqTPbu8/+pJ5J5QPbD0Xn7RarBwUA2ZpE9WWyZwuyxKXL1tt8MaNVwEADx4YB+HKk1ft+JVtFazDsjbfOGZnOseqc5LnEcTkHNRkY9Nlrgktuy3kwIg5msqy7YT1bDHdo8Qy3ozciZgZU6m6P90rIyEIcrwLeS0acVHsWkTKdv2Y5WucIxSq4Ki66AbcP/EUpH3P79UTvnIckHPQkDcRs5Z6cGT18ldf+bwtz/cvPmGZ1WDdtpOjQMhtV+Epv8PxQN7DsMcMDtwGx4tq8yfUx9jesus/6lumKG2BWrVkdtKIENGU0nIgb8LViNh9ofu5JpfGq/KRN1SxE0b1bnFuuEu4/dINAMDDA+NBjL/lW+37Y9umGPQPiYItqLA3Hg2wd8E4R8p41eEwZS28lAEBx0UhZ1B71/teqAavYTII6N7IceVK8Qd4j+tZ1gB9detQ8CAjupUnXIa/EnFGhdSCnVEz8qiE8s3s+B27o9bo49CM7PgzedGoq6MyvlEQB0gdNVX0TJJzJY9zTlRycWbjpuDJT9mBFWzYuhIiSOJmSB9G/Bjw+ZnyWvbpfaPtlIscc3IFpPwYea6F7VO/1/a/iajXsKBmR14JeSDfioBdEoov1FbalfqtELyqKZf+FeoUiYTW8DA8p4iLyqUXeEOU7CuJDjnooosuuuiiiy5a0SEH56KBZU++jrPi5+01+Ks3/rxC7nXo1Y8rNTCpbfWH6s+1z+8/sj5vMV3/5Ec+xm2wNs161PrA6pgx+Q7BgqxlKsOl7L1tisozeMeRzcajRLUvaaWzJsbZqFcCo1a4uhf6Fd0Gmekkfdtmf42zfDGeWe+WzsHABXBETjZUj+Q+eSY0GeLSdzg8sYwwnLb7euVoJ9bxwaFlqUcTy1bEZdgiOjC8YMhLkiw7LsZjyyre/z7zW3/pJWPR339g2gpXn7xm50fs5EA1Z/3N+qyycEnKyY2Q/AGxkZ06E9hRErnSvyclQ3VvyFVNfADfCy1HN/EflM17TQV5JygbWVGx8/oH+n6JpXdCu58fQZvnUJBLUBHtiCIvrmHvE7Va5Pb64pe/YH/PLKt737PfCADYpq5/gOW+y+shZa2cwxapdBvYIRHxg5K8h5MzyxxHvJaDQcLvS5GU56FWt4KQF50XoTg8G1UOxz50+TMsPVLI/BeSEkgHQ+eJiADr3bduGqdlzvEz4fv3KkO7zs5sfVLxvPrUFe5y7e9BqQwKCfRKh/JA4JZDn8/xGq5wbHTd1Tmiz31lui2CaL38jbpw2tyqRJwCcQ3494K6Bcf7dq2mmV333tAy6PG2HWdvbFl8ELf9MGTVgVLdMoHsSvzWy4V8YGxbE3ZOOd43Q2bv43V7FlWD9nNCXALxPMTN0v2S8rwL/c25HTRLLpI4SNKOiOmQKf0PcQ8O+Uyq/S3HYyjafhl6los/o2tZqaNNXT9RvOyU0vgQcuSbS9S9ob8fP/egQw666KKLLrroootWdMjBuXABECQBIMU0hTJCZXt+htjuJY+iEIHq8WQP1+G5WhCAkn7sYlfHzBjuP7rDb7Bu7UW/bcnJGbP3iHX+lZqcE0M27HnG8owZi2+8FvOZmZDq+5qlLtTXLQ4Cs/YZPRUyHqccD1VTVZ204Ix4WtcAa+AJ63Fr7HiQOpxqpG7Pug/mhXTXydXgttWHrFk3yf0ouY9HRE4eHFm/fFJaFnPlSVOSy/MZKim4ceb/zDPGNfjyl1/k/ts+7e5wGWb8Qaw+Z2nKUxEuVH2bKRAzaKnQSVFTandNWCFO2n3KyhbqmnVJ/l35kcKOEmX1jRTj1JMvRjjPi9d7QGtfhXo0TeGRDs9TWEUnhBwwW3fcRr8n9MvOX8HM+pVXXgIAPHpkapRPP/M0AODCBdOmUMbteAxREKIo5Vwpl0TucKxOEZ4lIh6n7EoQkX5ITo48I6RNUIs34f0zmJXpHmVaF4RLFEQcoppaARmPO2Q3BsEJz+epK6nzsUulsPMwpzrfQEx53g+DATtxdm1cya2xIPKS57nP95R1SiFQ21Q3Su01FVqn6RxfpP2BPBtqpsxaTve+fya4BpV4CbxPYvXb8xzGjTwS7Lw8fGSZcj6zMTnYsOPcumD3eOq1TVhsV819ZTvi3VR57dG3ydTO5YTIoDQi9Mzpc93KqCd0Uywy8YLoUstzLQ8OiZUWc1vfjNegKaWKCp2g13VCFVw45zPtZGaaCuvbdrwH7MwqMt2TUi/Vc0PoTrsravmMt9B2ozD0/9cYFSqpzgaf1es6Nm1073FEhxx00UUXXXTRRRet6JCD1Qhqr63vuxBUr+LZivxsTTNAIQdAGMrhz76iLDJQQamS7jp9x1m/u/fI6pYPWb/aYqZdLZRBcJPylKdmgS6g94hvgB7rcQFn/kes56v2FzLDX0zYa6+65pizVc6m14lqpGLQE71oZtRyoDZ6In+DZKluJva4MrweldlCpjAVM6JEjmTsY64lDEnGc8xXec5nLFhKQ+ACddqljFdU6l+meh8qRGRdz+aWjSRkKF+9ZkzxV16+YcfNyff2rmUbeWXHG4aa8Wtflb2rP5792kQ/Em2P+1I1FdJECoZLp0ZgWccuS3UG8PjlCEg1PmXhUI1dobFYqx6q9wVvqeZcLOvz0m8I5KpIjgHHUFmc8nP7fq+nfn7L0l57zRQQb94w7sYF6vy/79lr3DTroznRLl7TKEowXzA7D9Q5Q8SAnQPKts54X8zJMt+igmhEJcWMWbs6LMSj0QCq2VLjuRgr+hBpHKMkYjDPDH0S3yGm+mAkvlAm5UNmvMw6z5jdhry3rzxp3RlXr17ltqScSJ+DXMe4dOvTfStAo/YcFMaK7d5qZXlZcm6TCSpPKuBzwXlIyd4WJyF0KDl2UuiV3U0scNdUPMz2bVwkRBp3rtj9M9ig14y6PvhsCqSgKD4JvVuyEzonntrrPJsjE7+Hx9sjcii9gj67meQqKR6Ezq3cSkM9R4hKzOgImWfkgjkpRfoHMwCg1PqqGvGqS2IlHoN9JyGKMctsDL744pf4OccJuOrzHQQAErnDNm23TyFR+jwMIo+AZEQlhRysugREdVtrpw7qJYrwDqNDDrrooosuuuiii1Z0yMH5cA1cUi1d1FbZ/aGyHfBzZXP2EobOZ3aamEbS8V+W+LiMrVt1uhde/BwA4Nc3fgMA8MN/6d8EAMybaWsbvp+bM+hQiZeT7nvl+/IH5DVIbVErSekqF55T8AOAY2aMFdc94Uw/5N9iKc+oADhYsww7dGL38rwFDRAqi7B1T1ivLNi1kNLJcaPPzgfO1n1tbU5FQa8Uxll8LP6EvQjNKdXnL14FM8rBIEFRsCGd78nBrd+3TofLl0yX/8FD0z8IY2PED9elCyC1Qe4ja6lyt4wTZilU/fPIjTLzeoGqZu1Tvcyl9kmdDWc8X6qN88JynMixLZBGPDkJ3r3NdyVIGVAnSF/Ilx0RvCY1M0XVyPNsyv0lisFsTkqZp2fWx379+hcBLH3t3/c+U5zs00Mhy6nNQG+JIPD0dAShvCJ4PaUit6J0OZkZgjYaUjExpb4H+Q5NoPo9s9tS9V2eNqn7eQTFe98BsE4LXccwVJ1a97fq18pmWXMm+/zeXdMrOOV90Oc9vkZPE7HdMyIOBc+3MlH/LIhC7x6p/dd5UZ1a4943THkkpB1yLVxFHoLlAGn97Z0oq8YjZuqYiLXwlJn9gY2LoKDq6J51Bo227T5RS36ma8FnYLFg9wa7WPIzarPQ2yUhytPvJRgMySmgqmZKPpQo/Mqk1eWTV1J9ZbZOrkmRtX0dQmbW8o2RV4POR1FINVQaA/WSp8L3ciIh8qoZbto+fvFluw+ee+5Tti1dK+kcEKn13Auvn8PuB34+4PNCoc/twPg8K9sOqD70OFQHRBDynn/n6EE3OTgfARCm5+EUQtq+nECoiw+ccvVCNRViGqa4RK1JhMFJoFkbsr2QxEM+h3D32Ah1tw5u2BsD3qFzDlC29kQePuMmuWkNqKKqcEQTkqIW7E1YmOQu/ZBss9UoimxfJCOr14bELN/Zmdu27961FsBtYqEbF83kKOJDtk4a/0CVFK2IYDl/DCdTK3XMJ3zwcHIwZKvaSA8HtQXpPPbJEuOPZI8iKFFC2WWeR/0mVHXhfxhkXiUiVEYC0fa2Eegq3vw3XzOi3VPPWCveaKxJga1TcqqewMUfwbDSg4btUjyE6dnclwsClj+SWGQ4WcUSJuckAiRvSfq65AMr4pO8Znuh7KJrDyUSVndqgdKPRua3FVCsKYBIgSxdsDzi2MIYUrDplMIzL79sssj6sf/A+81wZo2mWGrjVatjwnsgIIk2yxZ+AhmstIkJaj/jGB2QeKYfDZnZlLWgWpVp1PLFB6+IrRIskj03H64im0ZRgBF/iGS57CK1IXOsyt4Xaru0MXZ4aGP33l0jYur3xZOOS01sCU9LdlvmYJ4Y6jyc7clrQXsyIInnYKVM1P7JX04KVKZR2UAyxHJPUhnPTxrqCgF/pBOV/Ga87gc2YQ05Yb2wZ8TKsGfrmLMsueDx6gd7zknygiWkwLdx2/lbX7f7KiHB1YUAXcTP7Td/7HlPlSJq8sSIJKhJTpBz8iBSMK+GnruBSoJ+ZsbPE1m+y7jKeVRekwO1djdxr3Ucn/xnvwsAODlheYmJSeU9mfnD7n8nlGTaXyJL6hLJAl7lBtsHtELkb5Vf/PEpKWpzHN9RdGWFLrrooosuuuiiFR1ycC4crBygbNcTDQltC+n1NspRexYfRwM/c9Xsb52GQmvrVj7Q1Hf/nkG0kyOaFVEO9Pe/bHLKn37xOQDARz5gUqyzR5Zh92irq5bAiUx+WCoYjkOfZVQiLRI5EOEoI8wuQpXg4T6ziYAz5YJZekn4q0dkYPLIsrO7142YBrY0rV+zzMKlMTIKwlRcJmCmHFO0qBkQfcmYIZA4dLxvmf8ZT+oGhWP6fZtlRzoGZv1hTQlgZlhnJE1uUE7VuRDy1ykJ3SqjWyzYusmsfXfHrlVR2T7euv0KAODKVWu33N601wmlXIUsxTzfIpkqi09JTJw2hfc4CojSKKsuS7U0UliFJLlUsLvkbrmCpeS1Mk6mrW7lb08yVCtUhqaW5TLX7a2ZbYlFbmMpDCTYZPvy2c/amFwQsr321LN2vnZtTGu9DcdZHC9FXm194DHOERFyj2K10dpnxzTSKThudN8oq29kcU1kpPTtxnyEKbMUwS/q8RiUkduGxrQKh6uQkyCokpSTGZaIdY3kpEliIyQtWfWMVt1qDc1JHlMmKChchj0eIscSwtb19SUHPWS8BXmbHC1Ro2AFQYiJGIQ8v4HSUyErEvBSW2GjVujAlzrPDu34Dx8ZMiLvrpAS3ycsK2ZHdr+ofISQ17RP8ySWK/vbdg2Ga/Z+7NuTWW7h/VfVlR+Tnhyt8ogQUo3joi0/LyM7R/RuQlG1SHb0MmwSKZJnRWZxItk2On8uONeKaKGKVMpn2aNHVlb65Cf/qe0T76NopZSn9msn0EfkWx8qlQgVOYdEB+3rK1KnSoCr6/Il8KrsCIlddNFFF1100cW7Ex1ycC5c4JAMEj9l9LVD/t1jT1bIDEKiFxXrmEVZoJdY1rl70bLMkJapD+7fBwDsPzI+QM56nerWKVt2HpzY9/7uP/gZAMDejxgh66ktI30VpyK5KeOQoYxEUio/0+2xpiUUo2E7oSad80xtf2xd7DEriZThsE7L1r2EWf+TRBruvmLtl8e3rPYKErrWn9zFoE+Sm8+i2jK3ATOchFlHPLB115m93rll5MAbD63+v7Vt5+ECDZdSGi2FzDDOTilEQ5Kh87XoAF4WmMXhXs/2X+2BC/I5epyVX2WL1kuv2vG99pq17C1rhcogmVoxq4k0UFRHlylO5Pw1kAFOQKRHNfKcaE6+IFcgUUbMFkW1sopwJ/tgz+1Qmyo/VyYhvVVXKcHzRDx4giLRG5IkezQ/unvPjn9/32SAn7pm8tO7e3Ytlskua7LeGtzuhz7luCWqVNeZJ8M2PEfHx5alZjw/EstSi2JRqOberpWLQ6B6bkDSaEJEQtdIimWyLF4wU5wtJgh4/dM2H8wjhuIreLtjtb0VaqOTuI1975RWzGo3Vn3YCxQtHXb4t/PSum5F3UjL6HMvs7xiAqQM00tUq6SuGjtf6bbtn2Uxh0B2liE7snvn3l1D7cijxHCdglPaF+7+kOJOWxuSZ2/zrFyf9W/SgwpJhkN200TJ+rx2TeDTcxFJvZiVEASdMrUE80CF1C5om666PYEEZES7JGikNF6IREK0QwCNg/Nk77IQIZ3oHo3HPvHJTwAA7t4z7lXIayA0K/SEEKF2q8pEapuk+JjGmYTLktfn7Et5bK1T8vpEX7jPTf36dsevNDrkoIsuuuiiiy66aEWHHJyLIAjQS3tLY5BQoiU2w8tUz5X9J2d+slvdu3AVUWr/f/TIsq37r74KYFmn1sxdtWfN7JVNXLlqy5+cWeb867/7KwCAH/g+a20sc0mcMuNmNlsUNvufH5de8KRH4RBxClKKFqW0852fqUVRNUbWgVkzdGQlK8+U/PCQTPILbGk6fWDyoUd8HW5tomE2kRM5ydh6l6SSULVzJ8OdQnU3IgpbV030Jt63bZ4dsAODLZHrG+Rw7FobYm/DEIOQxypBojKrvZ0pk4il1bQkSiMxo20bEnl55un3AQBeufFZAMCDfcukr129BgA49JkiURAJsKguqsw6iTEXG1odMJWkVu1LOQWDJlNyEgKrubtaXQt2jaKEbYKy1c3V0sjWCAkQgW2JLDK7sAHIDoevv9IUa846bWDLTGe2rVt31LJo+7B3wTglagFtAm6b3IpirtZYsv553s9ODrkPNRzRq+nE0ATxXkbrRNrUxVGo+Ewae8PrmovNLzEfsvB5slOO3Zw2y7MZzzvPozpzxoOhL++H7FIo8nZ78ILXhM0d3vxpQX5QwBbPhAjdEdsvT+d2/oZDcjKWmt+2Pu5rgMZ3mziP6vH41Mnqs0Clzrx2YVteN2naLZHe+I1L81KhmNpOPHxo5/3gwT7qzLY5GNmzZ4v3Um9kYyrh9U/Ula1OAkl6iybhpawlAc1xIRliIhINeUM6RhQ5QglE8RkT03LayeZYHQQybDuxMTsjYhgRIRoTCYjU8szxIe6K9kUoV+XbBoko1DUi8qGKBfk9RNYAWoMAACAASURBVLtu37dn+i/8wi8BAE5PbQz3BxJNI5JcSza8jSx5REodOxyL4hGIV9TUNZZsg6b1WeHt49tt9P65Agdr2X7n6EGHHHTRRRdddNFFF63okIOVcI3jzG1Zz2qCdl132LOZ9Q5rcjFFgB7dP8KjY7NglsWoDHaGYts72Ze2s3vfUdBTVmez8pdfsd7yk1OKwkSWUYcyMWHP/ZA9230XetGOjLWy+UyStZZ9JaxfRZzB5qzvqX/byfyI/bwlU55cPdI9dkGwCL+7ZzoBjyaWSd977Rae6D/DbYrBbpmAr5WzZjbXjF4zXbGwWb+8dMXsbS/sGEJQzHlMrDG+ev06AGCwYb3TgydsX3p9CREFXnE44Uxd9UexxlUzlFRpMKeEK513niJS8NLLhiA8os32Bhn1M57fwDPwWSdnkTaKa2RkUQulSFO7FrLLjcNN7qNpRtQlRVuUac9p7lK1eSIaq9IScJCAEeuZ8nQNIp819XgdcwlTUYCp17d13LxtaNd0atvc2TbEYEheiFjYibgp7LCoWVuNiSQ0TroKti9xHOJsYmPs8NDGynhk2bV4IHnGi6X+damJiUOiOr78mlLmNznH8NEBzx+lvSMbFymFZsQfCIKlWI/GpHrjnex+OS5k8lOUlMPmvqlHXhyeGTk8E2o1jMd2TZX1ReQqSbDM9sNT2W1bXqzJQuY8Qrm863abcoAgY02a2bk6aOYndp8cPzKk4JDoXsXzvL21jfETuzxHfEYRKREiIL7QgjyPkNe39sZa7fsoqNXfT66SZJS95oaIM6zVA6h5mUOOd6+sRPn4ioZJC9phC4bYoPZEzGeV0KqCY1KIQe27faSr0e4G8OT/yHlNjYjIKR/v+Plf/PsAgM+98Hnuqy00mRIVFprj7cPb2bskn5WSU0bEcxV0X6FuzqmbYfkegHJlnUtBjNU33nl0yEEXXXTRRRdddNGKDjk4F3XVYHa20CTNZwwJa6zrY8tCKirsnZ3QgIVmSYcHpyhl68qZ6IjZ1ojIgWqMGTschpLgVS2eE8bJzGppLx+arfCDh9bFsPf00/aFGbMZagyo9tjrpYhYtxPSIYvYMyqeQapjmTomyLJVvZrvH9MOuQok2WufzzlDTpSJkjchNciT4ynWWPu/+LQx/0uue6YsRB0TWjc/l3Sr2MmlasrMDMabtH5mZnR4ZOf+3kPrPX70imkvjEaWeW9sbWCDy3iJac/SZ4aoel1omb8ypTkV8mQX++RFy6Bfu2nXpJwq+7VtSaVPsrtVbuc1iWpEVB8syT1IY2a0idV5LzI7ryv2ioe2zuNDO64Jr8VojZlQLMazCtmWvRSlZYgV7FiiwBjlzsVSj0YTaAyeclnbp5MJz+G+ISNr6+xTH1JRUYiI6NjSGpAtNHkOkoWt2RUhTYeiyHF8TEVMJ+lc6Q7IdEaZtHrGmZ1Kr8BJZc4+P50aTyRjQrk2NO5Cf7DB79n665Lcl3wpsy3kqypFMlL3iW2jn0oe3I5XXAPxWdTtIBRnQOQoXraMAAB6VE2VFonzGs+11zeocvEQ9PwQKiHddLTCqVSu7gMewmJq+/bwoXUe7D+gYijH/hbRrq1tnacB0GvniD4ZVQeUmP4yReN5U5dKpK4NddQIBGT2L4lrSQALWVC2W6HBQuqzc6IsrPfXlFrOqV8CPjdTcplIUUIWk7PAa5Gx82YpN6wuF40jIUvsPJKog2t854gQov2H1o313HO/Z8fN6x6l/F6lDgrpWhD1CldybyHSRFLAcbTUJVhyFYKqjRzUb4IIeHX0VaThMUSHHHTRRRdddNFFF63okINzEQQhxsP1c4UoaQeQdX1qGdb+fdbtFjSDIQMYTYgBWfojZlu9PrX0E22DNTTObBvq2MswpD+0TFIWv8fkAbxCe9xnL/7ztp6M3Q6chc+pMFhklZ+xqgdWM9qmWqlT8/KrHqu+dJUEp6yhisOgyWksJrQ3PbH1rTHbBRo8pHriiPuycZmcAUIDczKf80RKZrbOlLNoxxMmJTSp+OWq1xF5GO8Y7yNdswwxy+XdQGb5dIHTQFm3ZeuqY8soRVlpyfOxYHYiqYGQmcA2jXWCy8b7eOVFqz0Ge8zCLln3hhQGxVWpXYOEx72QBXdJ9jwsw+0ndn7m5FTMiEpUjb1y11FVPK4ZPRlkCkNEoqiJTPQMiViLDbkCIsSRdOSnXLe95qVl36/eMPOvXo819b567GX6pNRQ1twcZ4U8PFiL5vg4O7b1qiY9nWZw9BRZW2NmTw5AVbe5KUEgsX16RXDMZkRzpuScyDxsd4fdLRyDsrmQvoS09aX9UdflUqeCnJpYiIhPmXhvEUlTTVh1bZl8RUSWLu4aX2SLaqjyMQi95gDvG/kH1Mu6tbcmV8bIhDdSbXylaaGiqdGUrP37hzYuzvi30Ikrz5o+ynhMm3Xuq2/Grxo0VP5Tf71HCmRRLB6AGkigRWV6xZr5gtykhTw2pPLI78tcSsgBHzSLpkZNtLPH8REREc1o6yzdgmhERVSiHQ01Fdyobp2npOD5ZGfWgpyFnIZuAcddErGDi0hEHTSYsnsnpybG3/yJHwcA3LxlXBxxLoQ2iK4gjOLtJvGVzNS0HMdT6MK2WiLOgwttbhZWhyw/ehxSBx1y0EUXXXTRRRddtKJDDs5FAIfEpcgbZm/sxc7FFCVDdjbljFG1JqocurrxxcCQ/dmV9MPl1+BV9Pg3pCpHFILuYgN2MWxYYuxRALnYORYAY3YWRGwabsrS9+76bgQqA6r+trZm2VXaY186p/Zy4YuZModUOZzMWUtm5pmKi6F+bbmXsRF6NBnh0W1TD7v1snUTqG7fp0V1xmVmYqUrq1K3grIrWdrK8Y117JQzfmVhJVOGlPa5o3XV2gNkhWUAXvveK99JZRK2Dzxe18j5rM0QXzBrXWP2cu2KIQV37xhK0gSWvW3tbnG9rBvHifcGmM/sOEYDZci0vWV99uzMUKkoOuGy1ls9W5juRT/VtSSP5Ni+P5kZX6Bidr825nnqWffGMBr7tGpBrkFWGip1dHSL+2bruPq0dYg83Ld1b6wbqtFQq6LxbHTxAYg0sHthTje+LLPtyL3UNTFG7KXvUWdf2UkFuTVy3VJIpMPfhPbBNWntI3Y5xETq1P8uxUkpZEoNUizviFlw3ZSeIxMRzRNaJ/RJiKFQBzlJRpSa7A/kE2H7sEFO0pCSixqLNbNXqRyKX9OEjU/xRB2JRLUQP4RqjDn5DscHxrGZHNMJUGN4YOPoyQ9eAwCMeY8vUVCuz2e151JLIaQ8D3JELHOpC/J+aeQ0azvrfWTKpvXqUQmpWnLjCX9uhJaIB7FWO5AygMmB3auLE7vuUlCVfklJNctqyOsbk6OQcl9FHRDvg89Tx/XL9yFq1O1l78/I8SrrAj3qFvwmrZj/0a/+Mtdp3+3TMXZKZKFatULUNdFY9sYq7Nbw9uvgvpPb4j09sOQHrSIAej6+CTpRN48HNQA65KCLLrrooosuuliJDjk4F1VV4eToFA1rxmfMmAfUEBgxM8gn1MOfKgu0We36aIRmhflce7cse9fPMeXcxT8125uTrStmr2pot+9Y5jimv8GCWduC6IZ6zl1Te2W+AWe4KdniR6fMNqfsWiBjPiaC0LC2XPK1YFZfyL2vbr8Wqt3LUa2x6flwc4SN0jLWOzdt/65ft3rd06NvBAD040Hr+AP5zcvpUv3sOjHkB3itdGYIA2ZnPV4DITDKXhq3dL7r9/kdeQB4bQW5o5XnN4VcmRERhz576qUdsLlj2evB8R0AwINHN+xYEluuP7RzkGAdaWrf3Vi3jG68bjXytGfX4MGDO1zGtnVwaOqExyfGaxj05XBIBUBmOupmyKiQKRW6qqTT5tAQnDQdQ+XsyYwa+rllnzde+zIAYHeLXQlUVVTmH7MLo2SffxTJW4DaCtQxWCxsAxPqXShrVxY/GAzQkzZAoP59aQAQAeL9M6F2xIJZ/GhgLPt+385XwYx6yu8lXifAjtFxPEmVzlHoP2fWW9el93fQ9ReHQnoQ6i4QA3429dKpAIAhO2jUtKH6tRjwvvNAlHrGsv+9WarmCaTitqdk558d2TWaT9jlwUW3Lhias0al0Ioqhg3HdLHCbm/884ZZPnkiZVUCcqfMpAgrDYC2f0uf3KRYLox8v6AaYSVvFqFA3LbX+tPN7l1S+edJjsVdeybJnbY3tPskGvdb666HvK8HWjvVOGv5FBCB9MqxvG9c+xkQkttQ0Egika9BA7zyJeN3He8bZ+aHfuAvAQD+8W/8PwCAwxNz1BUfpJZ+A9pjzoe3mhRaLL0D+aG0YQDxZIA3RwhWY1X+4HFEhxx00UUXXXTRRRet6JCDc1FVDaanC/TWqO9NBu3autVJL1+0bK9gZ8DDGWeQsWqvJRpmXQWzqoDFw5qZjuqV3j6PryJOu8I+z6jwFXCG/+JLlt29fN1eL6+b3kF/RG5DIZW6ypcT5TPuyHMYsIPihHr29w6snj3etGwsYh1Pfdq1WMxkrWsqWXA6m/ljFN/B9mGwtY6ULPyL7Hm/f9e29dKXbf8/8OEPAQB2ya2QznouBTNmFwEzTakZpkRDBLUISehR3S1I2zyLIHSI+nTkY4YkgTrpWKhrQXVpsdh17eTvnpWqRZPTwfVcfMq0HM5etmO8dcc8GJ58cov7kmJt41n77kVzlQwiQ4D2j62GLE2B6fQW3/+S7auzzD9nBj2vydau5ONAFra6F4gszM7sGj8imrG1u4Up3ScXhXENbt60DOkRXRffd81QndnMlhWDO+Q4CENmNIFcFllzpaPkjLIJC3a5SAdgQK2PJHGoiS7FiXFClJXPufAJu0ySxMbFziZJN2SXz+baNu/RmDoJXmXO9slJ/dJ3CtBRkVwNoD6XsZFVX6m7wK5FyMfj/UfW535M98KGnRVz1uR9v38o9EIFfnDb3Iwycr5R16XvUpqTTS8viKqUrj9VSJ+wZ8+ACFksNEJZOF0ppbnvXUm99J9FIFU+IpNVUXndgTCilwJ5TDGRkGClhq40ta6lGSDUctmFcf74/Xngtitm6yfH7Ao4OMGI12lwwa5nQI5BRZXCSo8gPsvCqq1iq84IdbMIcRUvRmiG717x/Ad7vwcbb/deu44XPvMFAMC1y9cAAH/2+/40AGBn09Crv/VTPwkAKKS+KB7Zm2T5zrsz6mvUdPGIkrgI6iZrPAIi9OnNdA5W315VZXwn0SEHXXTRRRdddNFFKzrk4Hw4AGGElFnLkKx0ZS/rG4Yg7OzaDHJyYhmYmMPlYorRmO5x3mebPfM9ZRfSANepZ0bD3mCxk6OBslXLtB4cW/by+88/BwB45s980NY/s0woZd9vtqhRZOy2IMKhLoOImWDSWJY95zYnZIQ71g7ToN0JEKSi87ebapU5SL1QjnDRxhC5nCG5zSsjzsxvWGb84Lpl1++/ah4METXST6kHkKtHWqlOqD546dNLx90+9rNzKej15GFRopBWvpItZlfq/FC2FaugKye3Sp0kPI9SiFO6JgSCnI0Ll03v4NXrxgO4fdtq+888+8+hlz7BLxtK84hOhfKTHzAz/uIXrbsjr6h0WBk6lTPDDng+hxEZ8ezrVxeHvOMXFfkyhWXiN2+/AMdauFQCr998BQAwpjqnulzO6AORppZJShFQ7oXKaueFHUNekB9wJj8LZmtEfcThcK7GgAz/hj3ip3S2PM3t/fU1u7cGA8sgF9zXkmqTIRUPY95HuacN2H2iOriT85/UMPmoE88gDJdZue4534XBYSBeg/RN9LdgLmXKQyqo9smEFxKl1gD5GEgnYSoNjvnMc5AicnDWqNfRI5cmlKAHVykJAvmheCFJHlfqs3wdE8c+Ow6kUdJnlwfidCk7wH0RqOn1CSopJapTSiEYgs8BJ6Sh/XGV2YpOqNB6diQXUNvQ+voa+mtEEId23JMV7kSgjio+0/ok10RE+WaEJVyljhKiGJ5Pwn2R1ALvJ3lZ3LhunK4XPvdFPH3FUNm9SzvcXxuj3/Ox7wEAfP4zpgfyid/9bVuZvDe8f207xEEQ10CcFO8TIqfIc54eGoNCTN+Ke3Cex/K4okMOuuiiiy666KKLVrwnyIFz7t8F8NNv8bW6oRG6c+4agFf/gO/+XNM0P/SOd6xpUFU5AnqJr60b21ysZSmB7bKPff/+Lb6vLLZElNADnjPTlBZnMev5LiaDm2demdGCNdMkoNIhZ+OLqWUtJWffn/jsJwAA3/EnvgsAMGKtzJVUFot7KKQSOLcMRaVV3/pL7X9px2sfpCWeMsWOe+wF5jQ28jNeni/WKANmUDM2E+dhiTmUydlne5dMPW6Pfe4v/r7Nvl/9tNX3LnzYEIT42ha30WZXex97piUL8huW+uWcnZdSQFsiMwmvn29xIBrhmFVIM2BOF8E0pkOmlqMuf8n6sFzUUro2qkd6MHgSALC5yYzjxF7Xxx9EHBkHYzplfzp9CAbUhpic2lg6pqtnTg2CyDFrl5eCs+Uz6db7bJb7yM6KiOtt+PfBvXvYYd367NTQiKMT0zEYXrZs/Whm7OwzjpuRvAd4LaWkmJMHIyU570rJFDTluInZ/y+3v94gRUZ+wukpOyFiQz62t4x9r+ssbkFIbkbs5KjJjoJcuvTqLKDznzQEqFUif4ea5zGlf0YY9jGbSAlTWbhaPeRTYmP1ypMfAACUhelZ5JmheNIe6Y9sn0fUFsiItKhrY8bupobpa59o0drWlh9jOj4vhNgWEUSp66yaO1EsubvGlfRBuAJlnMoo9X59/lN7lfaKauEiy0u/xEuzMCsXIhCSeyHWvoC3GfkvQoWm5FEUOd0O+SAabxpKkq73MKGGRrY45W6uoC9EjkAVxgV1LRI+SPt9qpfG6g7LeH7YYaITk8hHxc73889/BgBw/cvWHfSB93+D5wWdEBGu2cWUOLu+f+5f+X4AwJdetGXuHxtCGJKjIZGK2ltoSkdG90db46Pkb8V5SQrPT/BgrQaEUE+GvqdxX78FxPCHiPeqrPBpAH/9TT77DgDfDeBX3+CzzwD4xTd4//OPab+66KKLLrro4us+3pPJQdM0n4ZNEF4Xzrnf5X9/8g0+/nTTND/2bu2XC4A0BQoynqNYLF71sdoMr9dXZm3LbW2ztuoq713fH1nGs7Zu2WNGDwWZeBecLZbqhaZedya2MrONmgxzTd5fum2OgL/9qd8EAHzft/0pWx9n62XVeCVHMZKVyQVyuFO9kivtcSY/pa5/wUxxQARlQE6BmMFNqfoveQ7TGY/J9n3eO0bGvmyx5/cXVNtLqeT2PkMKXv6czb7vfsZm8HuLawCAZ95n7P44kva+6nZkHbNWWHsmsDQKpLTIGnMdeqqzEBDfax9aJjNnVlJxxp+xqyFmttnncfaH9G8gs/yEDoNJusZ9s+xlg50HVy59kNtbQ1FYlp1l5q7Z69n+3njFkJM4sc/L2ur4noOihDFiJsTMd0Zk4fRUzeJEO1j/XKP73hmVBUcbWxiRQ3DMlEXXM0psIydTW6cU8NZ5nsBuhdnCMqkZ0ayMrPOCWVwaqyZNRbxU3gy2nuPjE8xm5KL0N3geyFcJhYRIMZNdOETQaq/3z8+9yqX8CtD6XDV41XebFYZ9Pi1xuG/jdmvTvjNKvco912ljd31s93KaWobopKFBnkPKrDUky39On4uIdf29i5s8ppXHrVvu/4rkwpKdzhdRlBrvgMmsPminmMuKs1QYuZwT8mR/V5U4Og0iXj8pXCpLLb0PiC2T+K4k7nJGdJPHO+VzYEokTduKiRypK6rP54m6gArUCAmFjKQRISREYA7HZKbjl6AFx3QTyBlW6oPMztXlIFdY3lefev55AMDDR/Zc+uY/8k0AgL3tizg5tuvaT+26FkSAxL354Putq+df+ws/CAD48Y+b94K6W7zHQigUg78b6qgSZ6t4Y44CmqVeh8ItP1r5D//0dhhfo5wD59w3Afh2AHcA/PJ7vDtddNFFF1108XUZX23dCj/K159qmhVbKovLzrkfBbAN4ADA7zZN89nHtfEwDLC+1cecynCTqdVme0Ob4c7ZBbDNWtn2ts0sH9yxGu14PUFCZn+/Z4jBpSeuAQASZu/KrsU2LnK7BNdftozy9iuWnVSclfcjZe+svab2euMVY/vHH6WbGbO0ebbsl3XqP2av84Ca4SFrhyXTlIRse/U3T6c285+yLqzMr0c/AHUELKioNlGdmzXF4v6Zd7hrWCsXm1jaAYOLxi24svatAICDh8bwP6AewpT1yu2Ldh73njSXwUFiyENC2EZs3gVREtk1OkhhcYmY+H521aHZc+/UgF3atZFqH1ivXPD9OFLHgF2DiF0fObsZkNs2N9esfj7mNQvCYzzcN8qMi2xdN1+z6xdSS6OoDDGYUb1wQkfDhKz+KhXbnOgNr3HOMRmxhjocGrdDuv5MChHHIea8rkcHtm7vJieOyvGMyxpzXvXwbGbnaTrhK5EDZdbqagh5fkIpKLImf8JrOZtVWKcy5MbaDr9je5HnQrnoNcFT6jtGGmlPEKWTpkAsromQFikvRq3lTtiBMTlVF1GCJBpzf/VdoXR2H5TkRyjrFjohN8YGuq/sOg80LsgzqqH2mPY+K5qm8Vml10BI1G3ARas2214pY+181RnAUntkmWO2X70q34qbXwiHmN4PbtFGFINK2gD2xilRzdNjoWDi8NhLzK6XNTql9qlhIq8Wz58geiMEpudC76IptFPdKeqgaaSAqOuurgyer0IcpUx6MtQvSOyaiOPy+1+wCnTOffnIR78dADDk9o5PpoiJzk0ndrxez0GaEYREvuWbP2LHS+2JKfkScrnUtZXaqzg4dSHEjeNKHSkM5+qlsudbtCms2jrUdfPYvBW+aiYHzrk+gB+GPcH/9pt87V/mv/PL/QaAf6dpmtfe5naee5OPvuHt7WkXXXTRRRddfG3HV83kAMC/DmADwC83TXNr5bMZgP8WRka8zve+GcCPAfgTAP6Jc+5bmoYG9V9puAYuzBCwo2D/2LLYgiz8MXkEdW0z59GazZR7qWVDDoVnIk/pu9DvW3Z16Yp954i63OOxza6T1Doibt34LQDL7G3MbEZqhQlns2lks9RMfu6s7UfOsqCiKJaujKrXczYulb3IuzHSwU4IAnvtgz5751l7n54ZMlIqK2MtWrXES8wUdpnN94IIDb9Ts5f8jOhCE2vIkbnNOuQze7aOD3/w/QCA+/uWQb921+Z89w/t773L5oS4fdGy8+F41Np3xGI5s55ZV77vPvIZotj3VNML5PQoP3o73qYRYtD2XlAGUTNzrsDj5rUZ9K3GnKS23ZuvPYcXXjQqzYP9G7b/O4aEfPADln3cP7Ahv8joe7BQ1sJr09g25ur7DoUOMaPmvghhGlObXsqAST/B/Qc2nm9ct31YH/J8kHswy22bo7EhYg2z1jN1JUzJSWGWJRdDgXyBz6htbJ5RpTFJ7Bqvr++gx+y6YPeNsmzhGDk1AbwXCdPNyKsQgsfLsUjtBfk8zNk5kYnVztc578cwsGs0Ho2wNrJz1O9Lj5/jRHoWzAClhzAYESE5kAqn+A/qkGhbIHp1whWuQVVJcbLxfCb/3mriH7XTwNq9cVpYoZ19ijegDoSlz4HeX+5pINHIwt6dEyGYECE6PiFSQGQwpevkOu/dAbVdXCS3Ra5bzQ1eeVQZNZ9HdKxF3sAtiNYQ1SskGct7Vz4WMZn+8kfRMyknQhQSSRDX5OEDQyQ/+zkDmIf0x3n6ylXbDq9hpiw+TFCqE4KZfu79GaQYaru2vWko3Td/k/EVfvOTv8bvqSNCXBx2osiBs5Lyqtw+bX3eRwaBfya/VXgxTn49DAOU5eNxZvxqmhz8Zb7+xOoHTdM8BPDfrLz9W8657wXwOwC+DcC/D+B/fquNNE3zkTd6n4jCt/5hdriLLrrooosuvhbjq2Jy4Jz7EICPArgN4Ffe7nJN05TOub8Nmxx8J97G5OAP3o8GYVJgfUxW96ll5ZO51WjL2jLK/UObST512WaOTz1t6ndBUHs/hs993tTnFjl1DzjbHDNbGY9sBruwRAdHD40pXs7ZzcBa6jEZwKdECErYTLgk6/t0Yvs0oAJhVZe+9qf+5EpaCkQbBmRRq5yVkW2cUlM+YWbQcEp7RkW3AdXbnrxqs+6YHATN3htmFlndYF7YtnJmmTXXpU6BVL7q0i/g+an4+ebAMuvRk1abPqYapfQN9k/t76PZGfeVOv50rRxSYS+OI8+ZaNh9IB1+7gIa1vFdLW948kH8MfAiQdoVto1cBX0yrdfWWGslMnP/3gsAgLu3P4XF/CUAwPTMkJDNTbsGCev09x8YJ2GhPm9mWfM5N6HaKzOdwdA+p8mc7wxIYmXYrE1T02JyOsf9O9anH5NjMezZcYhzoMRXWgEZN352RqQlkz6EPAjYt67z26e+fS5+AJ0huZO9dLi80GhnzCp0C80R2zwlGpUye68hx0hlt3Z8J3TQm5zYfZISoejRw2GD/iibm4Y8rY124MgJKAo757kK300bEVFatqBjoBQidQyDAdGrlBm0+C61vBR4iPyPzpfVloVOUNFvRU1PoYzf2+95QQR7SVzQemNF7HOpashdL8gXmi3mKI+peElOie53dRtEVIzd2DJEbG3dnl0pu7a80yPP34JjNJ+S3yEYSJ1FlXwwbDzFVYwx1RV79E6pPJ+nzegXclKpa4HIWspsPSbX5OiBIbQvPG8cgz1qj+zuGYI7PyOphcsv8qUbrroOdG0SSqPWPIsZEbatDVvnf/ijfxUAMJnYGHz+BeuE6Pf0PLXXRSa9izYXrH5Del07HmcXwtuNr5ZuhbciIv5B8Yivw8e4P1100UUXXXTxdRvvOXLgnOsB+LdhRMSf+gpW8e18vf4HfuttRBg6jDcSxMz8VMdSXcqxzhlxBvzowHpku/3hAQAAIABJREFUHafjTz11GYH0CgqbXd69b9na+pZ0D9a4jH3v4X1bx9EhFfFS27bU10LOGOfM2pR43bhnGejnv2Qz450/+i8BMHa2MhY5j4nJLg38ggp3jRTheFwJFRMLr2Nvy+/uGEKyu2uvA2rJz5RJ8fgzZvUuClBQhXAhJTvW9LIFMzt1UJAR3/Ccgx0VgYwQeJ42h5bx+T5v1RoLoSJ2vhfMdidnth3nAgzpRrm2zq6MPrOPRoxoqlYyywbV2hCojsm6Nhu8Mx53lFpWurmxwWOx9R4d3uA+2GscHWN30/Z3Ql2CkHwGdUScHZ9y3epGsI99T7l8IMjSLokGgfXyAdUa1Q8/p7OiY/3//t2b/v+b1GFQxuKkEcFrIE2A4yMbk6qlKyP2agBO77NjhFyNlNm63EyF4lgHAbXvPUNb/ezsLRfywctfcsw+uG98icMjKkRmulbUoIgse9/bMS7K5gbHao/8D7o3hgE5Do2D717xUgNkiMtTJGgjAIt51vpbzpEJfUEcx6xrVfTP/80jdq///1IZcUUa0Z97og4r+Vzjb2EhC3pfviBlawM575OjQ+uOmZydIeW5U9fJ3iW71xJ1G/CaNKEy3rYao/gNlbqj6jZXQ6+JXFBlZyrQqAyAOXUu6jaPY0h0UodXeA8Rck5I0hhwwBw/suz9BSqwXiJStLdzgcdPnxTpZ4D7QDQ1iAEnXxcpqPJ4MvJZ5Hare3bUs2f6f/If/xcAgP/+b/wPAIAb9wwN9A0pQgzC9rVaxut5BkIMVs0WX+++KFSm/prqVvhBAJsA/q83ICICAJxz3wbg+abxT2+9/90A/lP++TPvdEfiOMKlS9uY88fi+IxEI0JW47E9YBKJBp3ag0rEq5dfnmFrxwiGvaE9aI9P7cf/+ed/z94nZP/EZRPIObQqgSdQxX0+vDKJxRCCFBTHNjtZu758y2x3/+R3mJxymFd+QOnH3j9QONinU4Piq8DWMRhTQKQWNG8P9QGh6d0L9qDl2MYZCUozlSNkOMMHeuNqxHwgBJJYlghLIYMp2p36h2PAc0kxp0LkJ1q5kuiZcvKkZ6fjRvu02a5hDzqZxmTZHIvMfrQePNznshMuazd7FNm2BsG09XdCsltIomJF0RsQNteksJjbxu4dX+cx2noHQ04Aqgb7B7bskK2uWxxLlUyyJpx4cJFYLYi8Q6NILVpqF7T3+2yj2mDJh5ccOeH6mmWtvJiAlwQRoXqqk2PGa6FrJkLrfKrbjdfSG3LxXU4A1TYmsyvZCvcIs2tyUddL6Fl2z2rv6vEHo+Qk4fCRjbEH99naydJGzH3fIky8s22vwz5fB1bacSyR1RV/sJ3IqGJwNV6ASLLheuD6lkP+2GUsu+h3Vo9NwcYpj1M/wCJRBqttaL4iIKy/XsrhlpqYaDIQ+K+cX9YXCETY5HXWZEmEzDmFiDTx1Qr0Qz+QqdyFHUTxkNtWuaO9Kf3Y+B/StiO1p0KK/JquEhO1Pq5gQSJiRhMl1zh5N3nJYZ1bLw5XyJSIE7daZD5OyCkF/qUXTSRu76KVDy5s2asm2Wrv7rFdVwmCDJrQNEtLav9zw2dRT5Mbtvj+f+y9aaxueXbWt/57eOcz3ulU3Vtd1XO3O+7JxsZ2jBNjEowMOMGR+BSkRJEShQ8hhHxIiMSHKBJSokg4UiJFCBKIGAQIQkRAIsTC4MZ4wG66u7q6a7hVdavueO4Z32mP+bB+z/89+61qt7v7Wt0Re0lX7z3n3eN/D+e/nvWs5yHxKUu/h6/teCn0+z/p1LW7b9/rbHtbBKtRoiOt5Pf5q/6NJwXdL6I5Vtu857tvN74XJgciIr6fIqLiz5rZp2hbvMfvPm0us2xm9t+0bftLvzOH10cfffTRRx//asV3dXIQQvikmf3r9s2JiH/JzP4dM/tdZvbTZpab2UMz++tm9j+1bfuLz+J40iy1azf27ZEg/oHEf3ymuEOLV622PGZoGena+cWFzUn9jmhVu3boSMICks/Tpw5FvfKP/omZmS3PkdzE3GcIUjACqtxh3xLWOAPSRnXWWtrs0uHGqnXIzFbZh1qIBHOWQNLr1rOMihnrWoYgQGwvvfCS74PZ9RwzHBkPRSMioLrZhPbLJrFK7YNIULdkhi2Zf0hkqctyQLK7JcZKHPKS8sDlY4dBJyArhwf7jA8DAVS3SjaZoZnZZLRvNW2ABWMsO+gVpZ8FSMp6dcK4UZIwfsbsKMEUK6OFL9Beur4EHRn7uOQgLhViWsNBbRPW2YWcN4C4Gtu5yHCbuiuDOyAbH9OilWAOJdGrGWQ4wfTKdhpQjstLR0t2d7KoJVvKSleyrrlkXyXMJStrYFW1dvE8CEYXijOERDagxJEkIvqxvmzL81Ek7alta0Gb5NmJmxmdIv4kJG0f0tfRB90MZw8ztMlkl3GUYZHajMn+QxftEESVJrJuNqtL1W4oE2SSt4XQy+c5SJnaIlPuVY3DiPKSiGaCkYX6fGOYd/OF2h7VdlyBsDWlRIG67X9rShwFz2CJEJcyYZGSZTuvdkOJY0UJaKutbkS0U6tq9/2WRA9mynE8/xFxaSVPLrtsDxFbEyEp1n02B1FVKtmwpzWGprZHWrZXEixDJhwE9tETh16/9upXzWxj+b13zcsIp2eUPtcbO2SzDflYJYIV0shNWVrL2AegIllxjyddYmFBq3dV0ja98G0e7DjSqvtCrfAtqFiIvYt+TGWsIdp74r3lg63vRTxNhM4l5lfgO0cPvquTg7ZtXzbbKsi9/3J/3r49PkIfffTRRx999PEtxvdCWeF7JkJILct2LVAPHaY+O50gKJNSjFtL25WWMH0/muzZybGjDhdzzxpvP+cz2eefcyThrbtOrHrwFnK6tINNEUuSfadsVGu+z6lV70iCkwzzrPCs9rjw/e7vHVpbSkqU2rnUSFhnb8ez7ppa47JyVGPNrH33umdrKrFKwlYCOyUz5oTCp1CRBpGcLIwsIdNVll5IAESkTjJp1X3VwpZTK96lJXGfjGdJS+fxY8+E7504PeXagWeS144gUZHd1gg8ZVkVyVk5WeRg6usMkO6dgj6E0vfZ1rSVIh+rsu3iUuRR/7y49LHPQW2G8EyGHMOMa5a2KxtSh7eUsQZhunmTMScrmZ+R+frSBohjs5EyYf/FjHtuOvUMOmU8q1ZcDgmt0G6XT+L/hQwskEWeYqN9SXYqUSShHSu2ORrJHhcb8oH4JLI0l4Q1RmUMHOrCNshru5y7TPiDh44UPGUsB6xzsO+EwpfuuDHXwd5zjMOss69NTkFG2HaJbKksvPW9evpMNfjEEtA4qWXHw5fQEPyI8wtHM8padtiIhUH8UB28hvCpFuCGq7idw5U8l1W1joZCxVyEXbXP+jJtLTRGyAcoh5CjGUgc5l85bXc5x5gOu8RPJe8NqFDTBktk4hQzeaF6V+rwtrkvNPKpSHCFEKJ1Z7klz50ErGYz2ovJxNXG2qat1bQZNyJYUp+XidwAPowsid9925//h4gc3YB4OEXA7Yx30mAkYybrjF9VaXyFNHEN2zaSnoXGSfRNY6b6/oR7clELYfHz+skf/7d8nNjX//E3/5KfN3wZGds1ul90j14hm35zIyXW2eIxpGl4ZiJI3yutjH300UcfffTRx/dI9MjBlUiS3Kaj2zZMyazO3jUzs7rwWejunmd/KbO2HcSSRsjQlus6MloramUPHjp/comlshjPt245onBJTez4GKGdBSxaEk21UyoL0yw8oS3o3mPf/nHtddGbt1605bH/P9dMX5arCA4NkW62qWcXF4j87NFpsXvg30vCtxQTmtn4mpY1o62oRVZ4SYfBZHcQzUbUylhn0enFV1XdcSBOhbEcmR3ZW8KUf7LnWceItrj5OYJUDz3zPKPedw1Dp919cTCKyOxPqUu3AZGnoKxKkqzK/EBcRnSMIOazu+fZSVl4Jjmf+9g/eeKCV0/e8Wy4gMswmYEK7E0sp6tiOPUsvQA5qLFe/vBtz5irc0eWAlnYLqjERPwXWNY72EdntKGphSCjzWF9ScsWNf7BILOWmy8je441X5Al9KTs6Mjvg/3rno2+9sbrjAe8GBAFiWWptjqCczAcSi7Wj+XpE2+7feedd2yF6peyyA++AJeA1sODff85aZB/bqiRV2pBVArIoSfi06gtU0JGtNWqVTKoJouQU5rGzgmRxau6a1Fd8dzPEUEz+B7q9pjCQVLHTUH2K/5AFAezbu29biQR3cRODvGaBrL1leWwkABEkkKuLFVZvKzfJUPdNVraaCaxno4l+gablWSw2oT4CrFlFTtw2SebMn4ZKNXdfkzZq695/0g+Wa2yal9oKj7b2hIuqNocGy7KABSjBm15667fS3ME6j743At+DPCJlnrfBLUj8t6cSMuZbh/q/ZIIjyZIIbNacumM8Upo7loQk0zQ/NhkyBatzkeOzP7hn/pZMzP7Deyhv/Tqb/h29IzyHGbwYFI4G1VVbcTBCD1L4lxEE6jfweiRgz766KOPPvrooxM9cnAlivXaXn/jdTs/80xhiaDOHBnQi0vP8kbUf4dkdU8Q3qjryqa0Eezt+ezx7NSzj6997RVfJ/Ns7PbtD5uZWXPLt7X+Tc8+Hzz1fWbMnGVdKnEbyYtKa+HJQ2fx//Nfch2Fj/70Ry0X87lWJgx7nKJqlAkmO7nxfLezQrLB0hqQjK6y3aEycQ7q4oIuBjJmO0lsfOjnKd7CWmZQFNGVpCnrGquLQdlVLZES1UPJAGWCs+/bv0MGulx5xnCByFJ9qfFqoyV1nHWrl1oaCWIV1zJh4dhAa2qYzDWZTgYvYn/m3IycLobp1NGgR489+3/4yLOcx49PbWfq61w/vMNYIRxEr/dHPvhBMzMrLryv/8kjF8/CV8omEz+2GZoUsx3sgZNur31Kt8tq4dsfc68OhmkUoFI/elOoR556L1noaOLjcvOmn9/Jmd9jbYDvsIOWx8hRGuklrNb+fLz7riMqjx45v0BZ0LUbh3YLVGIPMbAJ6JUkrNcgC0kUXJK2Ap+Wd76PqM978pwoOuDLS046ft1GbY1cD5csljmfSyx71zDdE8Y6x2Dr6KZfywE24huEQOJHGDBJHIh7fQI6YGPvLvJQWs55SRti48Vz9ayunG9XUEhLvIflvaW6HD2i6o04UVwnqkIxZqqpS55B56fsu1Udny4gkMaCZ17vic0RC83hoJvGQq0T5BnjGkgL4Z17/kw1hR/EC7df5Bgwi6KbQQjJCG6WsvnYWbVWF0jVORZdnCTLLDCYpZBXuAd6j8iIKZplgXasK8mHc94AJb/v97qR8CtvvuzrIbI2ySeMU1ciOliI/I8N52Db1vn9efyxE+IZRI8c9NFHH3300UcfneiRgytxeTm3L/yTfxZlyQYwfff2oVtTvxqQ/Yq9PV94mpoleZQcrqJtcsay1GFJpWW1nFLPlpdLQ0q9qlDjQ05XcrKSCR6imJejQPh//p2/a2Zmd8ZH9nt+yKWUV+gZBBXdmYSe0Ut+MPM67/NwDWJ9T+vFnnGfQ+6j6idTH/WvD+EoLJZoOTw5jpzwnRsHnB9qgzJIgUUsG2RJVKs2H+uSyqCYnQtZKJlRT+GBDOhqGNV+reYLz8DT1iyVnLRm4ZFurbqtH23RStXRtzHMqTWKrUxWW8oOeKH1ZbBCb/6Bn7M6Jh48eGx3br9kZmbXDlyx7R//o1/zsUx8TI92+V7dGRecH4jBeEI9fyTWOhwDkzER+4yatH5/TXfUg7+OYyy+RwBRCqmf/7XrjnodHPg65xeOBFxDhTBJ6VYp/X56euz30SM6SOZL/xxxbV940Q3JhGBNJiObYL07VWfHUBoDQkBQ9QSlsEqSxKj3tQOOhc+oKKhXWdZZ3hgn5V+ivlQWouaBsa+2geE/QItBHJQGpjzP6AiWuuynlUlHOQChXZGF3k3bhTCEJkRuTZso81XnA/vknmxKSRdzPiHpLJ9F5GErtm558QRif3wIkVOgpHPjCr3V4cBDXSLl3oC0LUDtlmTl4jNIFyAfCZHpqvtJQTtrs8g/0CILUJtHGChNkOSe7vmYSx5dx6D3Sg3qKXMkaXVISVKdFBnjq+6OBo5USDZdShprPWstaF/Cgev30gvZQVNCBl3zS+9Y+9ynP2dmZj/8+R82M7N/+E//gW9/q6NA+jFplkZL6vdRVPZ10y5CIA0JdVQ8i+iRgz766KOPPvrooxM9cvCeCDamPizPACEFtTIEavUZ2U5Gd8NkPLCGLOkE0xoxUTWLbivPnM6Z+d59zWvLp8cwnVuZS1Kni2pa1GQvYQDLF4Ds9xJVv7/61/+KfeLD7ttwfeaIQE2dblO39Znv/iEZIce4wq9Bpj5VoZo7cAeZZlQIpJ4nM5S9AZnUqLT1mZ9PMvZldmFAZ8r8ajo8ONtSPfa5OBbKapVBdbkHUkSclyt+z8wfTsIBaEhRXFpJ7TRPhD6Q+cRsCwQAhCUapTB1zsksR2OuCSz3MvHM4PEjr4few3CpkgcD45JnmT24710VTx74dXp6fM4y3glwY4DJU+3XdZ/+9XwI4pKrS8XPj0tjuVT9zO+r0wXbpSND3gvr1bllOedNxiL/j5tH6HjQG6/M/+xCvgzYR6P4WBRkviAJN254p8U1jiED5Rmhh9A03HfpRocil9oi99I42h13VfQ29sa8qhqhYPpUBq3l3p/FHaJJVBLXk8+CeA3apngNG0RAnSAgaPBdZCgkRLFu5mxHev3+o2yEdWxtNFfKIopT0/u+yddE7JFao7QHlCH617pXsy3UQhmn0Aw9NzomrZ+mFh9CISMblUasl9FeWC38mZYWg57JIWjQbNfvozy+Nxk3NQpEDyh1TnAsVWsZ6MzTp64dcnnpz8HBrt5h3IN04chUbgVBqMA/JSIj1u2GGsJBCLk8N8QvAmmQnXKwmLULEZBHRguXYKDOCt458q4Rt6Jk0IfogKib69/9Q3/EzMzeoYPtX37VuxeGM/6+0FZWlVV8zjfmGvwYESPxNeCm1eqAqX8LbYRvLXrkoI8++uijjz766ESPHHQimLXJxiYzKnwxe49zKdXcrfOZJLkNcmUbMHhVSyfDuzj1hU+e+kz37Ez92MouqLHX3dlfSiadpqpjsm8Yw1Ire+2tN+xv/V9/28zM/uQfdwvRc7JUad0/f9t7g3dxX5RddFpEmr6fJecvVvLlBZkj9qpZ1POG+cvs/mAws1McK43uiz24B4MGFjFOhqXOl9qfRWU0ziuWK7v2qRO6NvSzPlVzq1RbTAfRbU5pk5zqpEOfpsoQqMUzxjqvspYLIwgEKmz7A+/ykLXz3Pxc773j6peL+YrxquwYJTdxTuRDsVp43f71V31sP/Ehz8JVvyzU1w9TPslwcwSBalofoKLuqvKNUU5Ut0c2mNiNPWkj6P6lS4FxuLhwoQPpWZxewKXBQ2CMRoM4CUnmvxdre10qa1dPNvcJSMQgz2xAV0qWdLsRGhCB6FBH9tZIOwD0JsTuBeNnOQBq311HRUXYKt4mFqLKaPwmruOfO3SETMmMpak/nqoWr7o23TzlY86l5Jhg84M8is2fgExk6Tj6VggJq+ouypdpjFvdg+g+sI1czpIr8aG6qo3KpJvo2ue7k237ZVFYA4dGyxZwCmI2zSEKQd0FORnPpFEiJUihMwT7KlSr7zYGxHvgcr2y+VM8Ns4vGENf52yFlTnHq+4edScpYxZyEm2hOf8lKqAbfwgOTQiK9CBM74DccsYwj+cjtJJxAq2Ifha8a2QfLy5Bpq4g9vnibe9I+tTHvt/MzL7+ytfZProQII5JtvmzrL8CG8TAQ/eSHFS1z7bnHPTRRx999NFHH79T0SMHVyIE1/CeTlX/VD+uzwDllV6U8paXqhduf0VtYaCeaGnhd13W5GV+euL1SU30hEqkseTa7XNumSmqzhX7orUB2bwnqf3iP/+CmZn9zJuunXAN7oFcJW/c9C4FdVTUdEQMom47Wapc19RzC09gAYv9HG8B6cPb0j/zkMaa38P73uu+e4yr4oEfwxjW8Qh2/gCeh2qElbJ4sbaFxDAPT4RWCBXoDkN03BtOBtY2XdW1liyikgshGfQgocc++GdIyJxaKb35tisy5QF1zMMj73ffRZ3xAy9+xMzMXvnqF83M7O27r1ra0p0ivwWOUynMeOj7OD3x7HO0L9VB54XU+HxkI1dpHKWuozEa+OeCe1JeHKqtj8j28nwQnRyVRZ+plrwkE1rLxdMPbTL28xlPxEmAY5OLgyMVPnkvkNWqZ3xLzW04GsU6rNA4scUDHAkL6k4QUiCuQRdRaNVjnwgx6r7KtvUDmi2NiySklubS+IfPkUoPw9dMaW24fgMdjMq/H8GjqVrnkVR4sTStZ72BY2qDMky8RxivqkJBsRhZfAVXujYw4BN5DfjnaLTHsXXRjbrp1r83Wawfk3gEy6XfH+t1N9tN0tQG6iDK5OTo12L/YLezr6gTkgqt8W+bRN0v1gnd4yn3+Hol5MQXVJfL23ffsfWFfD58rNegmOpW0rUROqH3Rhbfh6ATeg/ExgihISAN3DdJ5L74fTa+ooOhDhG9g9WtJYQwckboaljWcl0U0urfq/OqBQ29PPX749/8sd9rZma/+ZtfMjOzNx59zczMhrx3i6KK56N7pr3CKTAza2M3g9pRnp2+gaJHDvroo48++uijj070yMGVaBqzxWVt+9d9FnbrlteU5dt97547gWlaOiXb3Sez8iwQhm4mpq5/rpjpjVGwY4JsJVn7WkTnyN9XnS5yeju/j6E+ab5vhpk9wkXu1770m2Zm9nt/7CfNzOy5OzjcMVtenqJzL1YtM2Cphyk708+NEAJmq9JqKNYgKQPPOC7Lyqb0q4/hNQTQlVO6OB489Qw5GXa90vf3QRZmjizsHnhmnI7FeFcdcMttTvr2UZNdZIUkMrrFTm+jpwB1brZUF8dsa8nXaJ+LOUx9v6qUMSgL5WvcMGcoJ37fJz/Hhhu7d9ezg5ws63d9/tNmZvYO7nLp5UP2hY4DtejrtxyVmB24ZsAF2goD9NvfRjnuK697FlLi+qhx/MiHXYnz+rWDqEKoXvAlteUs9bE/2HOkQN0rgTFU9lIqm1E/NuO4M/YsTvr/6ubZXCOhYsP4/4YxrOESpNIt0Lqhq4SobFW1+Xhv1urAyDv7iqmjUkml0PLsCJtnNRWxhTq+OCbS95ztcCzqnMiF0sAXivwHMs2sm8XVpVxMQQwYv6raKFxWqI9O6S6RP0FZ+TM6iPcgPgigNSveH8XCz3M+n/N736eQuBy0Z4yC6xCUJ0/zTT0+OjVyPkFeEDoW1bfhUYH6CB1tgrhK4iJJKZLaO5fi/NR5BPfefMS5jWxybczx+nHu5dKz0DXRe26rW4P/CL2UimMuHQPOrUTVcMG7vDQ5Qhrb27hU6k2rezGit+rmYF8tz5Gud0Y3VxP5AF0+lPhGt6671skPfe6HzMzsq3/Hn125epqFeLzv0TnQQWwJWIgn942UE7+d6JGDPvroo48++uijEz1ycDXa1qxtbDkns6KvNzKhWznDka2QKRbrK7wCJnTjsRTg1DPNrNI3aaNcXQcw56O+9jdQOtO3ZKshlQobIbWuqoqM5DkciVtH7nQnVbWzM+cKrJd+MIU6Ada+/DB/f8bvxbkjEpd4TKjOefPIZ8LJhJ77PLcRWcVs7BmBZrQrUAZxB1bMvgs0Fs7onHj42LOK/L5vc0DP/O6hZ8yH6P4PGOeBnM2GUpBDq6Guokte9GzfKo5Wsaeen6PrnAghXRa+dPrVUaE+8KBrY0KJvGb7+c/9kN089Ez+ay//Sz9PVCoraspDaqBjdSkEug0akJTxSz5eqFJmdGt8/U331Pjaa++YmdmNFxzFWhWOzMgF8YUXnrM7zzv6MALVGdKFkKe+z2G2xzgIYaFWTLaVy+kuug16SMtjo3yHyiFIktj5STKI/el1I0U8ZX5k76m0BrqeCap3qyYvNr74DIHa+0YpUR0FZJqNmOPSutgcb9OqDi+9AlK8IMQMbw363KUgmtDVok6kGj2NkuXyqNEAh4dzG/NsVCG3QOo6wJVRTo5l1O/wZZcLfy7Wa2XQ/vvVQh4BPta7cFUOc7+WeaouFxAEqaUKLKiaDfco6jN0nRuFfmbDbrdWJPgIjREnR9m86uVkwerQujjnvfS8v5cW84vYbZBxnBmIR8FYbvNYajgJxZZbbUQM4VTI56GSA6cp1Kkihc6BDn7DTYq8Lv9oNE743bRV912dRl8MdYp01Rlj1wPb293xZ1w8AiENVm+Wif8RYiAkQbouQgqa3/rvxrcTPXLQRx999NFHH310okcOOhHM6sQOZp4Jh0KuWTh9mffqn5478z4lG7mgLpgNqph1pMEzuAG11Cl67cvGl704cebq6pz6LcqB6vPfLjZtl5LEjK35QrntoM5jDXlEj/TOzLPtEj9yIQHqkdbMNqNPPW0084UxTJ27oh9a2czOoZ/jEOZwPYLNO6ytgpV/CutaJ5DhKjhmpj4lc8rVK81ycsRUr7UcIi/PvV55duKZ9+G+X5OdG6g94oOR5xrH0pQvVGQZQ1CbIQXKZamxlN+8HNE86yhj/7Ifk9CeIX7vGTXWtTzXE9XFfXNVEez5o5f8fKn13n31y75v0KkDEJEi+PFPdj/mh5K62uV8/lHfF05ub97zHukicZ7AwwvG+02/RsOhH+N1OhGS3DtxzMxeot+6XLEOywxn/vOUz4zMeAgipA6AEDsKpOIJGkDqqE6EhPGUsmjT5lGHQZm/sqks8fPSndzGV5Nvq266PydbiohRQTF0Wf8WdRHIKON20tjrXhanHKdfizyn1s69JwRgkPu1KdZ4L+AxUdIJUDbqMIDDk/jzNxrDWker4JXXvIvo7Tef2Hjkmf71m/75wp07jJUft7gnO+I9oHJZ1dyLmfwf/Bh85mduAAAgAElEQVQQbY3qrlIrVP2/bNVNxb06rKMyZtJIa4QRiv4mZNLRInLLhEH6FnXX30DI5RJdgJrld275M3uGjkY7Sa6oR+JwiIaA+B9SmYyiMjzTOecxSnU/+T4WXDvpIaj/X8iEtqd3X8E7oCrLqB2gLgvpHWTilCTqqALFkFaFhkeAI+vrfVAKgQL9+9hHnQ/0qQ99wszMXnnd3wlJlloFalWjwdLUXX5UKxfL7TatZxg9ctBHH3300UcffXSiRw6uRFO3dnleWI1D2Ec+6TO6EoWvu6+5JrZ8EFrqpisyh/HUbGefrEtKbzD9l0G65D4fy8kAjf73equ8rbpuZMJHBrFqsKoLbp1EYqb55a1bNzvLlKp98XNRSJ2RmTEZ07rSDJdjpotBNcfJxGtlAUe9JtDfS908DBOrlXWoMYCfxXBuU82ExUL3n6Mr3wS9dvUOR96AlOR8XAtqinPq4ubJig25Nmna2kC99GTOFTP3Wip8kaxdx3VsM4yb2iF1v0b14Iya8wCkgBr9csE1vZLdiIdweOgZ4v7nPmNmZm+/5VnkAuXMo+c/6+sMP2BmZruH3tWwKBxZePjQOyrWhaeIL77oHRF/7xf+ue/73I+NJg8bocS4KMzuP3Qewv4OaMvYF9oF5WlSz6AL1VLTru6F6rohE4LQVRJNqa3rZi0ZryTWYjc1300NOXSWESqxwcLkocDva3EHur3oUrWUKmHYym6j6ulVZ85auvT4WoAozeG/nJw4Qih9ECEhA3wgjPtqdeE33TF97BW8mgXOoLOZj8vRc47yiGGf5bmtqV8/eeLrDofyFvCfj5+6FsBzzzmaeQjCNBr5sUwmrqiZMA7n6AXIUVK8CLke6uFXrT1JMwmiblJFtlWBNDbc/1UttVcUBFESXJX+nlic+Tgs6JSQRsFwNGFfOcfoiIH4D3Ubog5BG5Ug1fEgDoZ/L9VBcU1SjkEKiss5iGNEDIx9cd8IcYXLIL6F9mPt5h0jDYU0qnnqnSY3VnhfETG42gljFtJuZ8UANGgBgvmBF1yp9md++mfMzOzBX/S/L01aW0GnTHTnjbQeaSxI16LSYbOvdsOV+A6jRw766KOPPvroo49O9MjBlWgbs9Xc7JWX3zQzs/kFXAMyhYtT6t+40p091uzT16/L1IwZekLL6uUJPdGVz5aX6BlcnosRvdWvv+WopVmnEITo0qi1lBBEFcONFsBwOOh8SoVMm1C3gVwY5yAEVaG+bN/5inrmuvSDz5KdzrGs1fdbbPrGy0b16kn3QKUxEKUgqe+m0g7QTL47DrnozGk3w5zOnPcwlZ4EmWNd+7FWbROlDYWgqF9dzHVlSKl1Hd1iFhoTX7ZNPbAEgSgL6SH4dqZTf6yW9JwX1dIGqbYJTwG04fYLzth+gAJiOnGOwS0QhEXh2ebJU9/WeNczxYOJZ5D3H6C5MfPfF6Vn/yO4HZcrz0AfPjk3a3wfD4/pBLlFhwQdH5Op/yzdfXWSrE5BEOg+SMXOJ9kaD/x+GA5x5RRnA8RN45VlefQA2egRCAHYuCWaWWTxRwShfX8kIWopyENAWVOE3LZqshxbGhIrmy1vBTg2J2fOZ7nAY2IGcrBAi2BQyXXPPwuen8vzruKkXB4fLVEHnaKoeeiI3vlZE1UpG46lQilxOnFV0wX6BcePPSt//MiPSajN0ZErZu7v+/3w9NiRhyz1YxiPqdmDVO7B0RmQtZdlu3GftO6QlbGvHwSIDFrIwOUTnjG6dVL4HkKapK2gR7ksVT8XmiMflDK+L/Q+SDcvPN8WaIX8GORZswSlWeNjok6REdotY45FnUpVofeuH8MYPYWoE3C1eL9Vx9d1LqSDwYAJQVE3QysOgm6siPZy3wzV9eb7/OEfdL2DL/zyPzYzs1/+F79io12cgYOUIUFQ4L+lvA8HcYzxpKkqWzfNM3Fm7JGDPvroo48++uijEz1ysBWJmV2e+iz0q8euarexxpIGOy5rhb7w2ez63Kxa+oz2khn8tr085WqTrEGCQlrYZgZrl9+EhRoniGLjpnl0JPz1X/91MzP7mX/7D5qZ2QBWcig1+6QezYxXCnhhoFkpGSDHuD73rGVVoSCoTFweE4XqgcFqsovIHh/qfLr17AQWuTwHVmQp4hTIxU9dGXVQbzlsbrX5KtuX7numHdbRwWwduQZo4auTQj3z2+hN0vmI/g6jEbXSWk5xuDIuyNpEnKerobWlrem2kE7BRiEfl8l9RxCmhy+ZmVkRPFt9iAfHEAe8g2t+Xm+9/RU+nbMQotaAX6uLSzIq2M7DrLYh2eQS+CqHM/L4ias0hqf+/cGBvDfIjPECmF/6sa8LKUjKOdDHYTry5fZ2nZNSUswuQFbywcpyOmgi5yZK49PPbhq7rrdGfAxi5q/fox8iTYINn9uurqjunjb28jcxCxMzfjF31EUug4c36FqiBWCFomQzkI4BtWVltZkjJ7X8EEBSFuc+Xpfop3zogx/y7dRje/TQu2/UtdJSlz44cCRoOr3G7/1Yz3A7vcRBE3DKzs/cw+TiEl8QfB6S1Lef0sH0gRedy7IH0lCURczwB2TbQgRr3imXdA5d8PwLWRuQAY8mfp6DRF0ZfkwL1pMeiDovlIFLF6INIV5X6Q1EDxmhDGTh0i2Qc6Rq7pl0VWZ+74nP0MidVYqJQ3U9SO1TfKKNd0HUfZDeSZBCpG+rBGESB2MY2154twFO6B7VeyVyNXhfzlc+njs7jrz9zE/7e/q1N16zJ5fOLUrggZWtuuD0Nyh0zi92yaX+N+MZAAc9ctBHH3300UcffXSjRw6uRLBgechjLVqOb5pBprHXtjsjVPpT1XX0iF8pcUmk8OU/a0Kn3vDIiG/jf1iP5b4BchBLdFoPpv1gOLIJugO/+4d/iGWZ8aJTkFFjVO1Q647wra9L9QxTQ9/xun5Ze1ZSR313/xATOGMGPQu5ZTDaB8x0W2Vp1MBLxlg1QWX3gS6F8UhcBXYVyefSp99CWBivJqrc+bkNh5kNYXaPud3X1B1J5KKOganrQl0GMgSMTn7Gp+rl6t7wc1iCHKyWnq3VcDjSpIoqe6tF1y1PrGkMEG2w61nY6alva7KLymDmWcarb7jj5ldfdmXER+++a2ZmTx955jgnw0gm+AIcqEe7tWEmJ0RQmqVfiyzWTn3M24psvEDnfscz6LoBlTh/1Dn/PVojpEU/X4gxL1U6kKl6bSHgTikEAYQnwYUxB5VLEj5RuszSKcvxTEqOT1ocaVe1sY6i+VKfk76/MqzGCnEixI8Z+n0+4x5UlvrOu84ZkE7I/j5dKbgMPqXT4AxOUlv7sV9e+Po7uKJeO3B+QEGHwrVrRzbI0al44GOqHvrZzJGjEc/HUs8q9/BwANcGB9mzM+9qkBqjUJHlArSHrH1Fh9K1Dbxlged3CawpzxRpjIizFH1O0s37zswsUdcH+1ytda/Dt4rjzC55/wzVuRRC7PSRRoYy4hV8Bqm5tuxL72JxC1K9HxgluU4G3hMhFRoih1WpX4JqwLMSamBmlmZCIdG5yPSeA5Xgvsl4d7V0uzRcX9nkqNtJCojyA5EHxeLcx/v7PubdcT/wuR+wf/ALf9/3PWKMeE+ImiPehjqi2o0jhD2r6JGDPvroo48++uijEz1ycCXa1t3iNvV+aYtrPsqsUsR5MiXNUrP2irb7VulTvaexFrTlpqXlki0N8U10FRM3+gZyTlM2s4rZ2PUbnrFELXxmy1pWhTypCVal6njqWwcxYXGpilVkH5k8GIS0qFZXVldYv/ItIGvFda1lxr4ky1hfekad4Rp3cOgZldwZbasOqm6GjbZ4d5zCFUdJ9cIra1Af8x61Piknlmsxnh0hkb696tRBiInRzYG/+5DUe4csLuP36ue+vDy1NR4HylRq+BkLznsn88xvf/6Y8/Vrh8CdPX7yFfb5upmZ7c7cxfHtuSslzjIfx0NQo90dz6j2ZnQzjEubinPCfTC/cHRC9f4SJbv5ObXRzLd16zrOkLvOi8hzr82fUvfe3/Usdm9Klo673Ks4Rd5/9JaZmY0nQxuN/XqOxz72WY6aJ5+TyU5n3/IMaECCApyKANLQyjMhNjvoPygr1lJYFCudPvq6istI1kEqdGf06+uzLPSw+ffHT5VR6x70Y5pSe+eWthIeQca5hIiKcFEtt9kMlGFHHAJ1uICY5Koxk7WSbQ94XxwcuDKoFDYjSkj9++xizs9+3x1c8+eqRAdhVRSR8a+aepaLc+GdDTnPbqnnBKSt2Qj9m9lGQVGfzRasFzsO4APkcBSqprEFxzBf+DPTRLTWtz3K5dcBIiTOSfRvEJ8IPgjLi/O1BBlYr+S1wDPNu0DPeJqn0VNi2+EwNly13Xe0TD3F4WqCfGP0/qAzgnfbHPR0DOohbo70MT7zr33G/tmvO0J4toLHJJRF7w+e2WF0TpUmxTMgGxD95OBKBAuWWhaNeBLrwsyR9CFf0E2vCr9PLEh6OHQfEEFpG++NLbYbm0pC94/qdj+N2oo233cXS7MkElxkNbyCGNTwwsjjBEY4n+SSfZuaXLQIj8wXfjOfnjhcvi78AZ7u+M0+4aZfA8svQm0pUP6amUWaS1AHIRn+6g0YlxkQ7Uov5sdOyKkQMxnxhzcfYfErC9s4LoKVuyWApqqs1vWR7K8gxpWEYnxZSdmq1GHI6ZYl5QKWF7xcIJu90B+cxlvgxmPKK1P/Y9G2a1stfcwePTrmWCZsy493X1pQiQiXkFxX+gPuk4b5+StmZvb573eI+qNHfswv3fbvv/Brd/1YMOSZ7vm13p8MbMA9ueYP0DzohYI8dDQ3EtlJtr5+zM+94ETFw30Xb5nOfB+vfN0nAe2RX9OdXf8cYZY1mfi4n108sqdnlNlklAUBjfepDWkbThNdA/8cZE40G+RIdg/8Z5k8BcoUjVojG5HjIKYyydDPIYzjH+maSUGJJG2BudF46H9Ij256WWW8ZSK2IU3S2syk4eTYnzeqE/aBD9BueChi45z1hpbSSnftupcRlESsWWbKRlS6KivuG8pOacTT1RLJ+giYNdybkiE+fuqTSklaD4cjGyDpvTPqil0VPP/FShLoxjHSgigRMbUKQw7NSABmSMcLC29ETIRMuFgir7xaWVGKqOvXT3/0BoyPzL0kix2JhOx7oNIu77QFE3P9vIIQrHKkWqIlyjbgnZcmIdo+a4KiekjYMlJSbXdNaUstjLWI6kD/SdOdTMyYAK8pNYo8nAx8PH/gs5+zF/6hP2OLt0gqROQedCcuMppqasmOt5SS+lbGPvroo48++ujjGUePHGxHSCyNiIBgsi05SmZxmyxeBhvDyDQLWwRDpUaCybSHiIZvuaHGbYbuAhIOiRmDliZjKsrCpggP7UMgipCTjIHIUkXKWUBakniNqg4FxilrPqMqJwsIEi92yZwxh1k0pSWQbYZkPA1tX7ENCMKYsstdLIgPIIUVkHZUdjg9dlJYLnIhWbl+Vjajc1MG0jRNzErbSDikTRKYvQ4yYZFkK6QnxiEje9nJMbCiBXC1Qrim0Dj59k8w1Zpjs1tVc6tKlVd8W2cnErOBJCmjmLmjM9lIZln+85uvvezHnHsWfy5xLZK6F4583F7bRVYVMuRYgFVRWQCiXkE4S7gv9g8g+4nDhxAPAIkFySaTaa8LyXDTCgvJ8ld+9YtmZnb9Bi19ds5yfu7DcWbjVMiRZ8TDKM0sWXERESGaJTMOiowfBCBE+WSyudAlmCnyoYiPMmDCnnq0aznCU6358a7WwNwQcnchEu7MrrO1bcRAaJWyOF9KiIqy3J2Z9i3zH70/0ggXZwNJU/s2aiR652u/l55il65784SfRVSUzbbkgdV2K8GdgwNHJnTNMtoz82wY7dOrVjbHtCDGlr7u+y9KX3PN4qd1M2SVQmRMtKBUIlKuylihNdsdY1QnUaJIFKTkBboVUfP4CUJLyUNts008Rgl9gUTpXs67KGKituO6iZbMcSwpt8qiueFnkSabRMiJbMT5pDyTRCM7WjlBddQSOuIezShTnSxPbQG6l8bShWrZ3dOXJH66hWI9i+iRgz766KOPPvrooxM9cnA1QmuWFjH7UFYioRWF2u7iauHKrI7/itTXbKEOEYWg/pttkV6imI9m4YnkgoUcbCMGMvlgllplsSVN2ciImm8BUcxqSfiKHMixIOlbSrykluwtdcAdz7BSJKLna89+H2JhfRPJ153hyAraJndmamWkjqmsXJwBDmmVkwHM/FiHKRwDiSHN/VgvLjwbPT11At9sj4wDMlgdMyNIVKtFnGWnEAXbIFKSsgsZw8jkicyg3TaD4VwC9W9kh8PAj8kyFGkWnCMEo+lgzx6ceqZ3ggxuxvFaTgtV5p+v3PUWxWt7TjyUgdc5teKmRogGvkM+ZJ/U3L/vU37eFye0X8nIqLHYXzsnu1qthWb42E6nkANpn6xBZXae8+taknVJUKapPKu9duDrf/VVJx6+9o6jG7fgQ0xmiEcNUstzJJjFJTDPaGcDHw9JMOeSZB45KS5BYCjJZYcs6WJMk0Cz2vhoQoBlPQtwElohE2lEANotU7C6ki00CJGQM+vyXMQPiPVv7KBlYKa2yXMQNtWoU469rgqbG629re9D/KD9vR1WEQlQbbHdzFoEu5svvMj5c01hyaUmEjEtrrR0JvAsbNlG9CqRdDWKZTovmSJFMzgJUUnKvOlKE9ciNnMtCpkcrRDDYvnJyK/9IEkjSbalXi+kLVBLl4nXEr5C1J/jNLLcx0HXcAjnZCgugSzhuYSl0F8QgyQ4h6OuR9ZWjHGpXmbgORktMbahpc1Ycsp6twvNiNc7XP11HB+rYi+4mZmdY9jWWmovveB2zmcgiUue+3XJvZR3ieyy5PY/B8+GlPhMkIMQws+FEH4+hPCLIYTzEEIbQvjL32SdHw0h/L0QwtMQwiKE8MUQwn8WwramYGednwkh/EII4SyEcBlC+OUQwh97FufQRx999NFHH314PCvk4E+b2WfM7NLM7pnZJ36rhUMIf9jM/qZ5T9hfM7OnZvYHzex/NLMfM7N/733W+eNm9vNmdmxmf9k85/w5M/uLIYTvb9v2v3hG57KRD40TQRCELQONqLKbiHMQNqY9ql9ro3Gi161XSnAp2bKwDe9pZTR+r1lod3ao9rwmzTZtgONJ5zjLWCvznzMTUxcpYmRki0bIAvV9dS8wg25W0n727S8Kn/GeP/Ea+9HRrchcrs4QIxqDPqjGSr0+JTMeMxuvI/TCOJEJySjm5nWXla2DxEy6csxCQ2RMUw/yaMGs2ncTL4qQA5jzWketn6q5NsoMWGurDVU12aaWpa9nRPv7mEMNJ7a/47K1d17wmf+v/uY/ZTw8E35w/1UzM7t3z7PuKSI3NZnSmGx0lPuxPHroY763T6ZF/XZxSf2YummeK5PMbLnydRrGo00r9u0CSjPaH/fJrtOxn8f5hR/z0U1q9FU385tjk7uYnzBefs1Pn/rnaOhZ8HRv33bocBFaIQGmGktz1MdttaROLUnaBIQEGWBJN6vePQb9UUeKuoGKKJPLNST7z7JB3LfQuhDFbriHmm376C7PISo0x/eCLH7JrE33h7pAPGJLcF1ZSpaewwGoOd8WdDKnde/avj/TEYi84ds8eeoZbyNDHrH6Gx2rdcZFQlUhqopZFOtppEVu3W2NOG9ZnIsrUNZqgZVdssSv4FZon6w/oqUzF69AyMJ6aWVNRqzjUkOATO04j4E4KxKRQ2wtUZskf9LUIaCsPdGzLda/YaIXzeZo+VwVZpXfryntslmmTgljWzIHGzBu8CEkbqQXTOxyUHrfds4/vo84pjzItj63H//xnzAzs6+/5a3KZ0/93RrgbokPEY35ogZS8oxwg2fHOfgTZvYxM9s1s//kt1owhLBrZv+rOb3t32jb9j9s2/ZPmdlnzewLZvZzIYQ/urXOS2b235tPIn6wbdv/tG3bP2Fmnzaz18zsT4YQfuQZnUsfffTRRx99/CsdzwQ5aNv2/9X/t4Uj3id+zsxumNn/3rbtr17ZxiqE8KfN7P8xn2D81Svr/AdmNjSzP9u27d0r65yEEP47M/vzZvYfm08uvqNo2/Y9QhLKDLbtkjffX/l98w2+kw5B8g2rJv59tmU08w3Yp6qtKTSrT9KBvfSi1x8nMIALdSNoLqiamEmLgf53MmV1CsxG6lP3z3Ll619e+ixWs9XD6S4HQU378aXtYr6zA/8hWTPj5VgS2NgySLE12RRohSxJNeZRDkLZi9IdMuoh65XKRGXgVNUbKVWMhxrrzujjjJ/6b93SI02dT5mwRdax5GIvWJ9+7UvPRpKA9e8T50XMLy7tQy9+zMzMdneRoCXzWaIh0aS+7p3nkCg+QwwGtOf8ghRqKpMrEAHOdzIiW+Vn6A7Wwow+3B9G5noVQHO6bejWIqxyfOzoxYsf/j4zM7t++JyPF5mUGO81BlxHN/z7j3/IDYVee8O1GC5OMI+BWJInwfb3nEOwv+9cACEIId9h23S3NMqufLkKVKYiCxfC1PB8LEtdU66lxHHaLtK2ebKbTccDnQ4hVcbLWMM12WgmMPagVDImE6JQkPWLo6PsPGbSIAoVrH1rWquC7iW/TjLrUf/+Go2BBRmusu3Tp37fvHPvvo8HQk0aX+17OQftE4Ii2d1CpliVNWvd175tcY22hdjqLVO0KHpUddGqhHPIVZuP5ln6VHcD2gShsCWcC5k3zWDwT9EemSAYZEIM1FnFFa0KvSf0vpTZmp9/jXBZEdB84V2Q5N2OtDQMbYBuS0AmOTG9H4zfax9d/ZS6UvcSgkzqpKm7aFCUeN5o5/t2eBDLVWk7kxnriJsmuWuWibby76+H8yziu9Gt8JN8/v33+e4fm9nCzH40iBXzzdf5v7eW6aOPPvroo48+voP4bnQrfJzPr21/0bZtFUJ4w8w+ZWYfMrOXfxvr3A/u5nInhDBp23axvczVCCH82jf46hNt23Z6eoUYpGl3DrVd74+/v4I4xHW3pl/K8CObONU+uvLAV7aqLbK9LYeRWPjcdDk8f/u274O67Jw+fLGKxTbOZCnKulJKkxXxupIEq2exBUY9MhCREcmY3vQx61+ez+3iIejCgqwJtvAFKosVLHMRO6opNfZ9RxwmI1m3+mKlaoN0EiRjJFjpxAhoFuSYREVp0zSN/fvKltQzLFSnkHwwdc+aW0iSvcogR6j3jTg2lRYbZZRAKcfH7/g5wDgfjof29MI7Os7mnk1/6CMuSVy2Pk5SnVwu6NfGtGa9iL0WvjwZUsu1uzzx8Zsdebazt4cd7LmjFmJ9NxZshqmTEp+6RZKYt4Cu/xmFf5kfTcaejdal70OW4EmmXnr//YsvfNDMzI5uuiLg2+/cNTOzu3fdVvrN108sy3xbWQqCcACPgQ6QBO0BeXynGYgCtWbxZCxyCzxyoQDi+rTK6jDwEsvfVO/OzCL6wLgYy0pFETZ6C7O/irLAsO9l/8z7oIg8o25GKFvhknu+wNApCcHW6k4ApVtL5pdOIIUki2/fdu7Kxbk/i197xVGasyd+zx7dAuXh/ljDDxBSlfDKv8qbUqY/5Bhklibdk6jaGmTRLethdQQMtrbJOEgxsOwqCxYS0NCNmE5slvj1FyWgXcpeHA0RGS+14ncJhRA/rO5sUp0ky8LHyTIfvzGKoRM4UAOEQJLGr/XyMrEExKCtxU8BrWp0PXlnRX6INBJkG66uJ2PcdJfS7bH9R4FXofRYEgu2g7z4reuuSnrCe0MdZ+oEiZoScV8pY/L/T4XEPT7PvsH3+v3+t7HO3jf4vo8++uijjz76+G3G96LOwba5wDNdp23bH3jfDTii8PmqrqK2wJYIYcwQtjkJ22qF/jtmm1sdD9vfaxaexOV9Ztg23eWDEINIWYhUaV9fevh1FVXnNCxDesijUUqpenyXdZyhIiab2Apt9QV93lIpNHpt92aoz6mHmEJQXdR2duoZ8ckTZ7BHu2O19nLeMzoqJjDlbd8z/8lITGEyA5TxKvkBkEBmYxjRwy6CIG5HmuaWpOoAoUdeU3X1qVNLH5nP0iuxkPkMtsn0/Gd1NWhu7Z/KvG8cYc1b+hg0dWGZstTKM0PZO2doKRzddC3101Pf1927pxwrGTK7KmBh19Qia26IkxNf786Lnjl+6rOOTLz8ZddLWNWtTaRXz/VNqbeWlbpUuA9g/k/pRpA6oWrvylJK7oNzUJG7r98zM7M96t6f/Ihbhn/gzqfNzOzdB/ft6aOnjJgY3r7N3SPvQlEGJxOkHIRBzHEx/1tlTNzjFaiPkDXZBEvDIJK5uRfaepMZS1ZTCJBq4er/V507i6VmPYRkjKw3wXtBxXs987rX9Vyt83X8fYOx2Jh9ro/durnl55s3r3Msvmm9ez78kQ9zPhh44Vlx5wVHDScgcVUpbQIhlbqGZMetWZXxPOi0hHhE/Yat2jmL6d0VLYnVvy82P/coFJyI+oQqtomYmdlwMIldCS2dD2HKvQmPp6RDquBTKExUM9U7SKiYnnE6c2Z7Ps6Tme97sfT7cGeKciTHPK9qq5EdLQshRUXnc+OVB1ppCilmqjsK9CrVPcv7oxH3wH8/EpcH3ZFivbadkV+/H/mhHzUzs1feeJljwpALK+fGutfkt8H5+23HdwM5+GZZ/u7Wct/KOuffwXH10UcfffTRRx/23UEOXjGzHzRvfezU/4NP1T9o7o38+tY611nnC1vrPGdmUzO79834Br+taDcz/mj1W7//ou/XvaAZrNTEbGtdaYfrU4iBlk+VKVdbSojSvY8s1S6y0JCSX9u/bjdvehZWMXNfMduWWl60aBb/gZ/lKlaWYmnDF+BYR3g2LC7kJua9wWv03c9ar++t10WsR8tVboq64pQ6/AxuwB5dDUY9fD0Q0zsW9DnD2LDtv6ZLIRnknd/LylTZTl03se6u66V6dGIGs3EAACAASURBVB3RGekd7F79Mdq4qmuhqTUuKCayvVL2r6pBs4FWvJIsMXUfq/NhCGdiOUe34IFzBO7fx86VLHQMOnMMO/3y3DPkAfuY0h8/R5Hy5Nyvye/+kR82M7MPf8KBslde/rKdPH3bt0nXQgqDOx3BGi/k7Kbasa6FMmkpCfrPT0AMhmM/7+tY/N675w6RJyd+bgfX3Or54x//iZjB379/n325+uJs4JlwyT07oNMmBe2ptlnbUp3TdeaaSXhTzPC23er7l0RBa/Heiq31jZ7FDZ/86gKxaymo80FIYkx77WpEnXtlmltdC3mSxgd7ufRrkcvWd41iIs+iEA9pSqyWqFA+70jRceL505MTH/sjPEvkPaKOJL0nlHFWdWMl94G4RkJIY6cQgyq/BzmgljGjJhOOaoV4lZC8l0HdD3h2tOoaUodVJtfw2IygMQpwRPT7dMS2YycIXQZJV6OkjiYroIKThHHzcVrD7RnDcXnjLX822moalVArvYMTcZLo/FC9X7vQsUakRR7gXe5J2NwI/iE7ezlkMj71YGx1hr4JHiR6h+VSCFXHlW/R3mPm+wziu4Ec/CM+f//7fPd7zGxiZr/Utp0n7bda56e3lumjjz766KOPPr6D+G4gB3/DzP6smf3REMLPS+sgeEH4v2WZ/3lrnb9gZv+lmf3xEMJfkNZBCOHAzP4rlvlffqcOeJsvsFFE6/ZQX633qMdXtW85nEXkQE3mREHdVx4JmmWqprqpj76HCOEf1PuyQbDDQ8/GNMNPqTeWzD5T6vbKTmt028s5x8isO5N3gDIGnNEKuh9W+JAv0AQfU1M9uHZoh9RKJ3gflDD5WzoF6hn9/BPOb4RbI8plouMmW7VlsfQ1u4/TeF2DpKsc5uiPrpMa+re2IT4AdW6xktuE/nzY2JV51rYuqXJJc50Zf1k4siJHOMs0/lWkIqf8bn7pSMHTJ44IXJzR3YHz47Wbfg3feuieCssG3fVBt55pOkau1eNTX+5tkIjbt117YLh7aNnylGXxj2ebm7otCBKntaBjQs5vynwDroKnZ579p7lnq8nQx+f2SyBXJdl/6qjQ3v4d29n1727f+QxjxVChZzDMdX93VQkHAyFyyuYl84l2QOP301BqlyOOWdr83PtVvF02edGmnx3eS5AAhKrJfIrmI0Qh1reFUilDJONmF7H3XvR19eiXVcw6G1LjHA7ObipFP9/25dKvVQVKtaR/fwEvaHbo43fvnnfKvH3/TTMzO3reOQjDMcic+v6V/WZZPBF1M1n0lFGWznkxZrmeQWXMaff9p+4HIQZ6e1ZFF00VB2G1XFrGezJHr0SaKeoAqHhuyog2iDvBviq6O4R28M6T+ulyteicw439I98NwozFyv9z7eCmFWt1SsEZkKJjIhSG8xFgVMizpftsxmdUz48+pY4rBIGHQMcWmhAVL+X0KOdGvQdWpRRQu6ienCOfRTyTyUEI4WfN7Gf58YjPHwkh/EX+/0Tyxm3bnocQ/iPzScIvhBD+qrny4R8yb1n8G+aSyjHatn0jhPCnzOzPmdmvhhD+mm3kk++Y2f/Qtu13LIDURx999NFHH308O+Tgs2b2x7Z+9yH+mZm9aWbR+6Bt278dQvgJM/uvzeyPmNnIzF41s//czP5c+z5CAm3b/nwI4S7b+ffN072vmNmfbtv2f3tG52EWNkhAveWoGLULfhuE0JQZ3YDZ5oq6fA6rfgSzPXqaa70tBrWylWTLn1whZa+a2eeN6zft9m1nqg/xGbABmU0rP3LPNudzn03LyzyVu5o00zVLVyIlJS9xEGBEN7CW93adT7B7bd8SMtkVqnMNjo81h7SCIa3THZDxZ93kKjKbNavW+Oj7DUIgX/MtHkGSRnBB3hLyXdioV5Ih4cZmASc/dADUn52J6T707azwKtDBDAauf181Pq4l41m2SyvJ8JbnZHxn/jnMnGM7voUz4t519uHHdP/Cs/LmkrGXIiL92Rk8iNGO8yUePfEM6D5dAavS77ednZnt0zNdLry+mqFP0RRy3+zq7y/pLZcmRwYytFi6F8Pdt1x2ZLly/fcDBzusaXz8Pv19P2VmZkfXvt+PpZ7Y8blneAvcBNWfPh5KIVBqhL4t1ftn8F0SasuJ1AwlHCeLDTLFQURW6Fphc+tS90dqukfq6KEgDX2Ng+q7ZPdCTiJ6pwxbrHTtRRk0h7AhsfB73966rjdUGjQDmq2fh9TY9d5YFz5OO7t7nD/HTha7d+D3wTl8oAePHd25jv7BgAxU2X3d1JYXcJFoN9KzVBdCRPTcdDusNA4VnAuhGtGFECJIwN1wwLUcJl3fh5A3Zvh8KMMvUHaUWKXUFRNY+kHdXeL/5BEKYdtCiuKN4ccgd04y75MLR+4O9p0vY21rAzgTQnVqtVu8p6CvDjGhWV0XxmxDSvDluA10TA1ZvtCthPHJQmY1Jy7FywM+Lx455z4f654Vt2ajAPqsaAfPSj75z5jZn/kW1/mnZvYHvsV1/q6Z/d1vZZ0++uijjz766ONbi+9FnYPvYgTLksFGOzxyDcjasm7f6qYIKee41JrQZazGTFcZzlZJtU2kNqd6H7N01QFDd5ZtlZTfqK1mXd7Ao8cn9ibM2xuf8Xpj1XR7wDP62yv2BchhGY536j44PkfXgNp6yu9H0gwnm69BKLJDz+6KnWCLZMl5wbEQvwE0QnbkarFWja2FjZvkyt4YN/nUk8XJzbGV/r1m56lcGcUjqL2p3TYMaEXU1ldjRKOaoWe+UrZbkvUnGZn00A9qQDa7JAueks0P8Am4pBNhuVjZJZmc+pT3DjyTm4wd5VmtUY4ECVideoa9hzLg6NAzRdVBlwv/fvfQOQrqW08nfjK//pVf8e/JMD//2R+3F25/1o/rzFX2lnPnM6xKtAeGnnVmcC+ysS9XUM9X/VPDeG3fz/ON13G4G8tx0c/hC//kb5mZ2a0bXzQzs5tHn7Lh2JERPTvzlZ/36gKvBcFUJi8F/+kh12IHDsuN647SXMLqb+kRr4Y6Bj6lwl6ppxwd/LqNNWAl33omS57dRanmJ9W31b+PciaqnSmZtN4W8i+QOIX8EoTAqIY/HEyt5npncEc27q0+5kpap2hupAO/3lIpVQasrHQw9WOZ0mFzjJvfuvL7b3rg92yJxkm1Lm0ppT+ek6h7As9jNEUXQ7yP6CzrsYbNv+LZHnLPKpsdjOWUyP3DNS1BrJp1YzWqkSu6NrSPDG5WUAeEEEMGRu/qAbyW6F1Dd4oQFb13LuHR6D4boMA54J1eFlV8lhIhQ2T24pQUqFrqOuv2kT6G3vn6sxDdcCP3QMiKL1cILeVFNLTUqksfj5mOUz4VWVfdto6IwbPTN1B8N7oV+uijjz766KOP7+HokYMrEUKghkcWIj/u9zgpdqs6G75A2OiLR7UsVNLIhFX3L5kpi8HckBnVmurGtn5m6dRSm0gzJhuWShez9bpsYyaseu5G8Y1NU9sajSbsg33S565j3dnxWXWLI5404UsUEwsyp4AjYKHaW1NFNbCKPm2T8xvnn4M2SJddp1WRTciPXYiA5MnbyFInU1Z3xxZXQ+feXBGpUD1ateM2foqDIK5JVyshasU30o2AIb4rpUHP5hoUA5+eejZ8cXbMQa9sBj9jfDhjX/A6YElnoBLLpWd8X/+q1/NPTjzju3HT1zvc84z5lPtkNiVjwt1wDqIwhw5xfu6dFW+99YYdXX/RzMyuXXPuQThUFumKjkucM+8MnTywf/hBfo9jXu77GrCv548cmXpw339/igtj4NiWc78/nj7WMRzb7Rfc6fHwOd/nZCQEzD9XS7ovyBTHEZ3x8Xn61DkY9x+95eNG90tbdNndezt+Dof7jlSMUAlVn7iFLEJGeUJXBl0LeebLJrnvu2oizGdmG1VKKSiKEa+ujgL2unwNhIopq231XCaJ1epSClLh9H3sTP3ZuzjzmriUAcUjEupVRidVdelwj5KBn+OLMl/4+K14huW7Mh5NLBt3FfzkDjhAIyEfiqUvZEHKkBudAjOzg5HcWcVV4nxBJoQUzLkv5K+SWhJ5LlIZlTtt1DURepsLgvWf12oYYjyECOg+iPYN3F9lCkdLvg9sbnnF76GpuiiGXBaF5ornlcR3vfRT2KZcYKOiLsiMOmWaLvIiDkIutc+iiGNz45rfxx940VG8r9x7hXFSt5aOgR+zZKOv8R1Gjxz00UcfffTRRx+d6JGDq9H6rG7bF/G9oT5WrZa857vtyHPVULsdEKkcv5hlqntBPgjSQp/FWjyqfPRtK0OWJ8MLd16wO7ddp//izNPHUJHhKINR14FQCyENcApaZuuTqWdObcnsFERhod5jaTdQ11WmXRRV5FBo9qzzU6af0httheqd1Gdh6as+KxWx1VqZtWfaQ1T+dlFYzKVfLsa0ujuSLCIBOt7Ixla2FbkGuvJyVeP3ZIRCO2pY3Wuy/pKxH5HFKjMK9Frv7+5aknBdqWPr+I3sarlAU58+9FvXxVIGvZETIBoTOUjJzqTLqB9CIEGQ0qaTAT9nZu2S46OW3nhWORj6+e3CIZjTU19Ttx7ljjSoBqs67+7OIdt25GSY+Xr379MNwTW8fujnUpatnZ06vyGFdZ5zfBOULg/Q6EhSObZzvzC2uweOoJyeuWfHW297P/8l+g6f+8znzMxsNoW1f45+RCq+jW81z/JollDVvswcv4s2wX1z4l3ZOVyMRux7Ux88vADutYxbeozGQlN177OaDFq+GKFtrSikTll3tiWtjDVjvSJbv8BrIPobMMb5YNT5/XTs12R6IE4KGgW5nBXx2cgHMZtWn37DPjX2Gz8K8Z00DnhG0NWRSDOg0DvOz//81Me1LIUs0rXAMzAcj6InyoZz0R07iQpkIobU+n5LSbbtooGt3nmsN0ZHYQVHq1iDDggcatuNnofa0vK0s82EMVRridBRvXviclH3ofv3IjWpP4o3RdcMaEFo2ni9zrh/Ly8vGTN4K+K1iP8mXZhnyD3okYM++uijjz766KMTPXJwJVprO9oGeT6M35htmOJZpg6CrtZ41TQbDXCyC2XMYQsxUGatWWbMLqhXaekkIgiqrau3dsl6uJUxe/3giy/ZzRtez12cSfschutALmLsk9mzEgX15c5ADAoYwatiyXjknU8po43Qg5cGQ1VVUZc/VyYkNzWOO+C+Ntzj2OA/KHNoYPiqxjggy1iCIEhzflCr3YHxYfyEMDRNG7chFrHqshsNee1amhHl+58fmeYlDnhlxT7omEhm/v3160eMA8zrchln+klC10a9QVnMzHI8EhZk9YuFb/vWLb+WuvcWZPWD3Pe5t+eZYcG4zMjIl0tlxb6f6XRg02k34ynJWs/pSlk88p54yzzTf/DIj+3jH3NVwyG1eKmwqc4r3ffr1/bZnqszPnrgWc9k6Oc027llR3gB3LjtfIXjM1/2+Kkfg1CXIV0Hs13fpjJj1Zqv3/BjOqBroS3QQ6BWv1zSxQD68/LXv2RmZjszPD12duzGdZwgQb4mE/E2fGwvL/w8AWGspYslgBgYPJ8S3RCp+anDJurfg0iN5HPQbJQEhxVdFYZmSNTd92Wu3ZJKKWOt+nUinwuexdiF0UUgNg6LfmzrYtX5uUgaq7jPdX9LU8RijVzcAp5V/ApU0EcOxNZSTF3rc905xtHM15MrqJC4kIboiRDdFuWNITJSVJ/0nwdwCPKBuExJ5/yjbQrvkxXvg2IlR0wf1yFI5UpjkCQRYYy+BbKbZaPiWIgnZiu8GOAmiJtVR12MNG7bf+5m90JR1ahTr1c2hzQ0wq32gx9y/s8XX/f7eKVOGsYpkbtvjxz00UcfffTRRx+/U9EjB9sRzIbUpXLNENuuW1lUxuJH9b9aspltRd0CQrNRqYup93VTIyczYEabKgMgY1iTnSjkxRD18Fn+zbuv27tve8332p5nsMroVfO02Gfd1RBXNr9i5n++cqb08sIzQJtfdvYlFGM4YmYdeRVFrLMZWWWWdxnfFee/kHaC/OZhjCvjE8M3MG77ZJLJlke6vORzZusVSnJt20ZVvbqV5kS3hqjJtnQglBnID+H8UmgF3gQgSuORZ9gpxebBEEZ5pv52xnc0tZqZfl0tOD4QFCFM1E6LQmxzZUDS1qDfmewiQ2s+IYsbML6jIfXy4SXH7Mu3VsWbU33cE+kasM380mvDTeLZ92IphExs7djJ7+cAenMEunH9hi/3CFW+k4Gf6+MnPm4vfejIDvZvcLx+nDduuGPjbNbV81jAFH/3vnsFrNbKfP3z5o0j9unbm01cz6GSHgbX6N67fiwLMrHFUsf00N59+K6Zmd264WjG8zedET6ZyAnTx+MRSMJkx5cbT70DIkjfX/eLNPVjys1wRY4P17IRwtZGH48N/4f7Xvck267ltcK9K12DC3xNchApPdMxg5ZTaCtNBylQbpDKJqINZJ8Rdeh2Cm1USv0YVnRAnNCNIk7CaOzZ7mTs99dgrK4ewaq8A0w1+vpKBtz1UomobC3FQ9wK6ZjRvVxI74Fkfg1CICQimDgXKE8O5JjKeCTSbmnjZZMyZCbUlvEJ8e+APGi6yEDcAreB6FXNVheDXC/19yNe+7a1CV0664Gvc/Om837yoXhPJZ+gmOuNe+fmDL6z6JGDPvroo48++uijEz1ycCWSJLHJaBxnr8r2K2Z84hooxOqtoxpiGmf6+lT9MbJLtS/9nlmpvBaUhSjTkTjBmmxeiEMaMwuyFQ7ty1/6DfvCL/2imZn9/p/6g2ZmRpJqQ2qlyv8SslF1QNRkZZp1yw+ioJaWaRbPuKjWHuuccoEMqbX0ES9RJEt3fCY8FLue+uaSsVuicT5EYz32OQudYMaszEnjolpbxnJCVIYx+w8xG43umVELn7EFZVij634590xoPFGvPbXmRAiB9P3p34ZbUCzpSQ/SIPDMaTwItiYzlMdCLo17so2nT+EGzDwL39l9jp/RFiDrOr90DQXde+OJs/urtWr1dBhMfD8j+SIMRjYYS9dCtXJ1K/hxvgTS9PCp3zCjkdfzZxNpKVAXppZ8eek8gZz757W798zM7PgEdccDR1bOz/z7s/PCbr/oGX4Dw106BbNUGgPqWsAr5CYqk6hQ3r/vWgpPjs/Zph/L3p6PvXgEQphefOkjZmb2+LGrQb76qvtA1EVph356VlXeKTJf+HX9wJ0Pm5nZIT4Fb9x1XsTpiY/Lix/2aydUL+AHsc0LEoIg1702OoiqkyaP7HMRf0LM15RFShNBqJZ/r+6d02Mfj92Jj/Uk77rBCnlqwxaawTGHQYhoi/hOcpRV7thu9e8rwzVQrjEcpXSgTgghBNIq8R/l0qhuF/EMQt2aoTOQyPlRrrZsq826nUNl1T0faUpI3VXvbI3Dxg/ClxfyIn5RxbWpm2bTrSC9m0reCh5V1LGQg6w6IuCBcB8ILY3IQeiixYKe1YlScuxZ08T33ar1vwMvf+VlMzO7vPB3k9QrpZezBsVLymSDiH6H0SMHffTRRx999NFHJ3rk4EqEEGwwHMY6jmbtm958/yzI/uqtDoS2rmOdamOvJmu2rlObMgR93SpRZpIqRcSBnPNi7bDtrKdZrZQZX3rptrUNXQr6bMV0xwEP1vRafdhSaWP2rVn2AZnfWprq556tSeVxvvCfT556z3m19uxttrdrY5CQRkgIDn+jgXT7/XsplEnPP5HeOJmiUIt1pmzW1xvDeJZSWCb0Q4pqsX7XRF6CdBhWoBm6GBv+h3+/t+vnPYUpTDJmp2eqa5IBleJ9ONM8IVNoaj/Xgjp5YnXkFEwnno0uFk85fr++i5Uf7+mpb/P5570WP4J9PyArWxRiZZNpZvAGmiHjA5cBZbyJzmXvuoVczoae+YpskXA+I1wlD/fo20593YHqstwna7go8znXHeTk6Sm8CrG7a6EWKCiel3YxByEBORlKz4B7SgmhUJ0hHIrh0MfhYN+7HM4vVhyDH9PlpR/Toyd+TOu1b2g2daTiwx92nsDOzJGF1197zRTDCRyCbNLZ9g00F25d98+vvOKaCvffft3MzI5ecAb5hKxdXRshkU4AXQxS3IzmfdTJl2tbL8XOlyqnOh7UzSR0SsqG3Wy+mUut1Ld5QRarZ3g8kjIkjovRs0W99sGs1j0F0oE2gDqgVqsu30lox87Yr8lkCvIgNVcy7nILWdV7Va6wOrdgqVktHpeW5d4UV4D7P6AIuBY/Sl4M0o4IWr6LMK4roZwcU9VFLzYoSXtFORUEgVe5+AriIEz0jpNordBMIZWluppARYRObCEHuVANEYqqMvLc5FL5zrvvcD4gBvwNkm7OpsMi2PuYGn9b0U8OOtFaVVexJUkDrtCNpYdGD3AORF7W1Ub4RHCgdcsLYQusiTcn98tgKJJgF6LUAlUsbfBgYcQ0w/RmOhpaiVDO7q6/GJapRFcgzpj+KHKD8bBOZG8r06OxzEsoMwg2y7qQ33wN+Y0XU22NDXJ/Ce/t+cv5AnvjgnEpJEgk0R5aiowOnRF/NHd3aPHaIvO0heSnOWZg0kYW0Tw0i+XCLnjAqmgE4w/1iBKHCGiSoNbYiuSoCZha3ga01VVMAlSo0ZWNdrK173e9LiOcmUWBKd+nyH4y0Lpxy0lxu/v+hzoSTrVtBHrSRC1vwPO8WKYzJmGXkCeHfg/sHdywll6pSvckrYmTodrh+EOCCVDZSoiK+4VrdnHhf4AXc5/g3LnjEL6NXRr561/7qpmZPf+ci3FNMZe6efPTNhh52WTVqgzkqyYyx9oW5op2wb78mFbN2VQTNx+Zw0O/36pakwW/J09OfdIw4po9d+Tje+vmB6zmOV6Uaj3jj+LKj0V/FHd3/B6+ceCf79738omIdR94ifbUVgZVTOQj4U5/JCO+zPdpJAtHad74ytl6wUtYR2I33GxDSHLnT7y8cNb4NdEfiAmTUQkWaZIwyCSaFCyvKNlBBi4qGYxJ0ljmad3nXn+YGpYPaVeIZyCLeCVbPCdDtWNL+K2qrZDAlAjGPHPrQiUPGU1JNpkxhYgokSOVI+vtP8TduUI0MBIRPBXxOWzEhzcTNE0SJNEdOvsqNBmQGdxmtuDryXwv7ZKnmy3SuUpGlqTWclxr3nMq8er9IW65Qu8J3271ntvn24m+rNBHH3300UcffXSiRw6uRNO0tl6tIplFsJjFrF8ZgYfIcVLwTLIsQsuaokYtjmjC0SW3bCAgWo0greRktxaFZhBgkgkUy41mkujF8nYa7PV3XjUzs/MFLYhkBiNsTQV3tRBrxhJSIVOQcFMlcg+z11rtPkyz1W64Q9vNUDaw50tbJ15ymCF0MgMelvXqkh67htRxhPnLjMxY55kIbpStLJ8r4NR3j92I5xLToxXeL5rVZ3lmU2SB97E3FilSZEbBnpXaqSQ4E0VtEHEZSC6X8cF4KhJVK89SzSBhRsOuEBGCgntrMPBs8/59J7uVtDRKSCgFCSoRrZkAw6dDrokMrYSY0NIVhmRSwyeck5/DZJxHaeVi3SXKrU0tWyAkQ46hwrp67etdzj07nVKquFw6cW+B9uzBvu/7Ix/xLP6TH/28n0PJuNmu1Y0IeHoyyJAaLK1VystEZoMcrKwMsmxQaQTiWkWraEYGdeualx/UEvoUAuPxEz/XG9eOLB0IUeO8ebKXjS+7Lucci2/jxvM+Hk/OfRyePnKo98aBEzn3Dz7IOYFAcYwN3r1NEvEf/zkzq8eb8pf/B6IqyEqQYBJrqldPMtpC/WbX/MafQoJdLkTQAw3hmq95fi4gz65Wa6vWG9lesw00P+Ee3GtBH+Zd8TAtl6oEoGNN9ckwSGQsZrOC3zeSyeJrR3O32Oqr9smuMJPE1YRqtEFt5/59KuE6GSqHjciR2ZVsnuw+5Z1Y19WGcMlxqi22RBZa7bTRCl5opk5iUz/yfZje/Xpv8i6D4Cvfu0BppGqbeLyysq4vfTxaEJNCWt2cxzAazrVWW/1M2hl75KCPPvroo48++uhEjxxcibZtrSwK2+o63MihRqclMmi1E5KBDrLUskwwArNJ0IZoOSpBImad2pnqcZVq0Fwa1QrV4qiZb4xA3RsSVJs29uWvfdnMzO6+ddfMzJ6/4RnN6sK3PY62ppCXkCAVCTKeJsdWqh4qYRLWC2TMQ0l3UjNrbBjRhotjRy+uXcc6l3QiX/j3krmtqB0vc9oKmZ2fQoJcrCSHLFMU39dIXItDrwcf3PQsZweuQppnlo85X5kc0booopCyNlmmRtMWshSZ4NSxZUl1YuRw624mpPa8JFMmsLY09+MsIO89eOTZ5wmWvJ/6lGfZysYePX7gxwThUPKwbY3cLm2peeaoyKac7ec2GPn51w2W0OnGilwfsu1VTXxNxjMUea2UoZYvn0ZyrZ//4XUnTUo0q20wheK++M0vOunv+z7xg+w23ZhfbZvTSIqY8VEtWS1bylZLjjWofZjauUSiNA4VaMYEcaTp2FtDn554K9j9R2fx3tkZYDBG7XwCia/FSaiAW3KAfe51svS333J05gFksTH7UMa94Sxx/3DssjwOSYjPs2TQNdayYhcqFTk3WwRmmUetGh+3XdpPpxi1TXfVlgh3hZeWULGyLKNpm6yFM1AotTYvzh1BEVoVUQ22LLtsERmFxOlZ1YJaX+Mgkbk2z8wg94mAPRLfAWRIROQo7bxl6LaORkxCALr2eRq3DemS94jQX7VIlnW0lm7jvdSVC9f5xBbpMvZF8ouu/HJs2RR6oS+CEAfeQ7XQncKGE0kt0wItBEHE1dAlHUQ9t7jx7zx65KCPPvroo48++uhEjxx0orXqCicgJN2ZYmQURxla/xww+8yHWWwxVHom6+WYIWVKR/1DEqJBCIIcSilEpYnY2rTsZdoO9slLOgWoC5dVYY8euCzsr/3aL5uZ2e2ffpHz8QMeq+YuA6bYBtMVIIoZQmSQSwRJIiFJ+REAyQAAIABJREFUZ3wS2gurprJEdqbUPhcP4T+QGaxptVude+Z8jAjKWjVGsv0c8aTxgWdz0+teD9+56RlSQitjzP7JjGLrU3rFdAb2ucxrUmrw4h60hcbaDzWKuag1Sy1YsebKt6oxxvp4V244HaQxXRBi9ADp3iZKEyN2BC8kYK88QCZWbbUSHArR0pbuBXWkmI9rTltedPCykSVGKyMHXpGd55KiRZhI9ekhXBS1U8mIKlAzbYIfo8SgksTX38dm+ktf/FW25/v7+Cc+bTs7zlc4Q/RK5yGEbAiv4yESzLJqns48W095DkRCV+dMDu9F1sdCDkIjgSI4Hbe8g+LpyUnsaGhBK0acXxYN1nwdcU3mCx8HoVLL5V0zM3vrbf+8dvRRM9uw+qtWBl5bdW6TAdgGfQxqF23VYtdtC6xjN0c34xUaJkOuInbQeERGvGkc/FOiapfzy9h6ebCPyZVkoWlJ3dvze1LoRayt8yGU52r7sNkV0STxrZQhC0WV3HBIYreO2gaF0iVc7xy0U9m7uhdCKXQGJETjxrtK4EWjrF5dDGrTnIMSlJv2xe1WQMmqCxEU+qvIYheC7j29y9WlwX0VeQ7cmzXbyfU+0bVeW2ugNHC0RtzfoZAMvYTouh0UzzJ65KCPPvroo48++uhEjxz8lqGaND/GXnWY8KrRZ7H6FpGC7dmn6tYh1rNVh2JNNdqSEZWqzyXaJ9KkmBupD1j1MNVP55dn1pBd/ArIwU/++O8zM7OD2c3OPhMZhzAjXsIEn5PNl3QAVGvPmJZz/3lNlhJk+yp2snr3LbUpFswpGcAp3INj9iG1G1mvzujrv0ldd3bo2We2CysdKeN2SicBTPMlmbdQjrSE/U4G5fwA2OGhW/uzrYxGmYx0DcQD0bXQeqmsa9XtYESr+rg4HBLPyi1F7Oc+ffcSRZKFcdnIQIsML/fzl0ysLGYlyFRRH68bcVGM7SoDh7V+oWxmYFnwjLeKTjrSWKBbBSGlWhkN2ely7dd7NmMn3C9nF+hys/Pd2fOMkx/DJz75STMze4Ixz+n5cdSWkBRzNlBfeyT2mJnZnHvt8bFLG79wx3kz1677uOQp9xomRg1ZboqhjjQFykpsddnuopOwc9NyxmiFJO0F3T0JXTwHIAabpBMhK2yfj55zzYavfd1RoFdec32HbPgJX26KOFYkLYkvIw3fjUW8Op4aaQBon7F7g5917fQeEWude1sCbbKfLmI2L3QLQbSVc3keHz+wg2t+nC2o1RIr9yjOowxf3Rahm60GMt+B7nfup6gWrcftikQxGzIzR3uqteyOsaBf0imUCL3pSn/Xpcy/9PSRSW+hG9uCRmUhfgXPlbJ4rnWaJPH5DjF1FgqhbL0rSNdElLhrdmVRFKorzBbl5zmGTB1Z0o1Ik9gpJ40WcW1kyCU9CGEYGzSqy7X4TqJHDvroo48++uijj070yMF2JBZn5SFqFXRngLmYtGTxW+27Hs3WDC5V77wsmrf6l2XZbF1tBc1WK9WtmDqWZHNDdATG6Ag8fvC2ldSM33rLZV6/9OXfMDOzP/BTP+vrXvrs/ILMb5RLwpYPUqUBs/adXWbv1OiXZI6rhWfBa9QPwxnHmA+iCp9MXSoUyZo9P87pvrPIdw68zjlFSXE8g30v4xkQlVqStNRx24KZf2wSJoNMtuqCaWKtWMGtVAWVVaiGrm6ESCM2s01niExQdC1CTCm0XX5S3zfjmXDsIWmsgk1eVr7MnQ+4IdAhCElRyJhJktddPkebdrN51Vy1WG1CMyTljHrnErQj7FptMgxSX7oef2XvYkiTdYqdDjImAUllwoOxNDj894uVOlD8vrh+wztUrt/0DDukua3QI9gouvnxCfmSot3Ojmf17973ro17bzsHYTr1bc0mdKCQSa5XUvfk99TNy0Y6GXxfi0+QWpb7WNGcYMOhtEXoZqn9+VD3heq76k762Mc/7se044jcqvJ7++zshPFDrRIUbYoUdjoQQlVHG/GYTUdgoFuft4hIit8h7oE6Ici4QfvGrbgoXWlkGbQVmG49Pblvs/07fKfsG26ORfiis63RUIqiPsbiOeh8S8kxx64F34yyfJ2r+A9NWVu91nfU3WHjX577+Tycu55JRneKkAQhBUnovm9lirQtfS+0T892E5UnZce8ef/pU2MrRVn9LORglKhjRs8P/JEtZUX9/dB7phZKUmvckYQu11Y20hyBUzP2ZzJc8izGLpctqcRnGD1y0EcfffTRRx99dKJHDrYiSdKoBR5nlak8BejrJzOUiluclV9xTvhG8zkhBrGOF5sXVA+XvoFHzBxgiCtLN2bWu3ueeZ+cet20rMqIbEjZ7V9+6V+YmdmP/uCPmZnZJN3lfGRjSmYEW3+Q/H/svWmsbVtaHTbm6nZ/+nPvuc27777+Vb0qquhCF8CAg20U0ViOMOCIWEriRAmyHZNISQxBsaKIgOw0toJsk8INxjaJggUCgoEqGhdQffP69r7bd6ff/WpmfnxjzH3Wfu8Vr+odU2WzPulq373P3muvNddca89vfOMbg73FXLVmmWqDlv0eMEOU7kGXtVWXy/8AGJONrh7fDrsMujvGKYjIgB6SfT9jabiTzGrjlLDOWTE9TeVBId1ydVJovFp1WTYfYaFLofOpVumQGQU1ddRCQ8/zr0ynDN4b2t6i8mfvV/a6sHSWIdD9+3b+Lj14nsdl41CECSP0gdr3REqCPUwsFUvtumqPupTZ3cCspZWt8XkXDgNuQ5Tw0IbDbaojQugEbaGZtcwL1uRTKkASDZpMbD4cHdkx3rtnPIGE9f/Ll40vMJ/M4GmU0+lQh4Lcg27K/eS52towhGD/jM2jV15+HQBw66ZZL5/bsWPps/4PKAslf4LXURTGRYY16tApkXH/IqpySiO/Q2vrnB0Pe0d2bVXUImjzehBqd+GCncuiFDIjEx/yJ2izPRpZtr62avyadqeDVDwXdcrohsDdDjXz4BGgur9U+PQ5ZumlTI3Ek7FjkOU3vLwnTGcjjgv0pQMiVIKP6pRJ2+IQ8Frkd055TUovZC6PCvnLhI4Ddla4+s/N0aGNy8HuIY537TwfHdkYzTkec3Y7JZHty8OXrSOkQ1M4XRjREsdLugjK7qXroK6F+RL3IAqaFD58JmjULCkeioygLoWA7oUbRm1XFholYfz0G6B7FceJ/JF21sWUnJuMvi/qZlGnkQu/Of/6okEOmmiiiSaaaKKJWjTIwYmI4gjdfhcz6vbLhU4LvLQl1bJ6zVmWXlGUoBLTe1naWpJmTip89rQMutz8sz5eivdQr/uJjdphjVZa5MORrcI7rTgwedfpIve+9z9l+81aZ8VVdEqGrtTYqrB4Zn2OB56zJ1p9y8qUfWjSphZ73zKQTppiPKHXAbOttTX277MHfEZUo5Q6o2OGHET4pDIoJzjW8VgHn7CmKPQjIS8gl65EIHGfsGANg1w/fxrTRPrsqu8GTXS+PaA7ddRCoX32oV5M++m5x9GB7e/aitV3V8ns10RQD7Tqj+r7LnNpzCu7kO6B0BvVybnvlT5v21snpwOuC09Gv2qpcg+sgrWubTPlnJSaY5++F3koi9czqBHPdSEeCJGrDhnzB/QiuHNnF4MVQ46yjNoCtGJ2zuaq6v6yqN6k2+L1ltWcr18zDkI+t+z+4kXqX/TYBx4c/zgqkRTwlHHxuopdqFcn7HwoiSQck0vT79rY9ft2HNPJIQeA/gSHtKgmN2FtlfohvIalxb9O3xO15I+JJIyHw+Dw2aL+g/gI0zE1JHgeC54b3XqqYPvL8y3tAM4nPSpTdrwg5lQH3VozxOWhB84GbQnV4TNpRnB8RkNanIuLo+tkiVMgh0PdF0a8jx4fG1p2yE6d/T0bx0MiB7PJbIFice5tbBhf5QEibGsrdi62OB8S3g8SopyywZnRD0Y1+tCpJGvjUKOv8wCi2cKJd8qOqvlcHRF1Z1Bl6wIUCqnUhvuMPVU3mNwdna93oiy6YKQfw3tgXGHOa+xjnza+2LVbN/g3fjl5HXq6/HNzGtEgB0000UQTTTTRRC0a5OBEODgkSYyoVVelC17qSwWeZecrW1m+VRVI/AQ+07Ks0mq0vgb0mJ/41KJ2Nlij+1rHspFD9mhrNTqfz+HKsHEAC+Uz1Y6P71FvX33KYvBqZasaIuuWk6nVAZWF9HvUnq+kZ0+nxJm9Ly9noTY2YEa3QhfCnNsopvUe34WVOWuBYuPqXHB7I3oxKCvJWFtckb8Fa6vSNLBlfF1TItQQ+Tz+Q9fI9W6HZcRAsfC9UD1w4YLo2V9/Zttq6WmsujY5FnTw82JZy7CObHxtM46UnRBRqFiTTMXCJwO6sL+XgZyQY21V2ZR85MvacyFipTpCglofMyD5hchrIvSOswZNFEtaBufOW5bXZicNXIxOx+YiwQbcv288hvHEtnnxgYv8TIvjZY6H7fZrAIC7d6hqWN3l8dl3XX7QMuGVAedmGHupf+oYlHpXKCohJuKI2GelJSFlyEGXnBqCNH2qcr788gsAgM9+5rMAgJ1ty3Iff8J0DlrsUih1Tnku17rsyKk8Dqm6OKr2AADdNr0zxBUgxyQOHUX0eyACIF8MOahmq4ZAiDegrLfVUfeOPZzbJoLTSjAa2Xmb8niFGIjfkpFbIb2PMTul1BGQT+3946E939+zc3r/vh3T0eGQ7+e+tGyctzZtfvR3BtjYMB7GBrkE6gSLlzhYxVwaJORUqJNEHQABgBAfSBonqL0/8ArUTVVKZ2Eaxkzf2usS9QywrhAAER7Y3UGUVIQgzTl1dQhR0XWl90nNVboI02qKvQMbw49+wlRGJzy/cuGNwjWofV2gFM65N+jsfCHRIAdNNNFEE0000UQtGuTgZDhTwYszrlYLaeWTdV7W2bzKtJxfZP1v7Fag8h0XeNqWPBLkuiYdbgQtdK0ybTW6ypr9YMVW8bv75gin+pjYudPpFJvrzOgTyzL+1cd/AwDw8CPmsbAysBW7SmWQI5xnJsD6ZhBjk74792k61z7WuznEMC7zGTwz3A75GHFp2UOPqnQtrei5rYiZb/CCF52jUH2bmRTHs6TLYSLeBFfnQTBuQSEOrHGttlVjF4Lg5Q6XLK22nfrRWaOXIqaY8EsOmXLWa/FcKAMdD2+hz/78dmY98VXBjFCIUtBgkHCB/C3YGaPecKnTcTxjejJoTjoiLzmzwKxFLkORh5ppFDzu673vUu6r6DInzwkBLepfj4kCec6XSvof7EDY2LJjbLUsC2x3LFPe2uqF2v/WJjPEzBCAoyPWt49tm52WbUu+JREdMEu2FJTkrNy5buqE3dQyz+yC7VuX2f7CQW/RUQQYyhGY3y0hKeRckFt0uG/P5dIYk5sgvkvlbXzGY5tPu3uWUb/82nUbh20bh50dQz+U3Y2oOJrECdYG1LngnJyNDAmcMJM95oUw6AtRIG+IBJCK13CLHJWcegHXdlmj5pTeOWdKnClRgPt0p9zdu48uOz42N21/IyJK84ltXF0od9gpcsDPzpnFz0a8P07VFcTrhROrT+2NzV6b37PFcZGLZR8J9yuOpJ1BRETICNGMoFYqZLGQWym5SeJDhHs2s3kndULuc+hW4L2AXWBlUSBhJt/iPSaK1Pkih0vpgkibQTdSzs2A1kmDgbwXHRO/G+E+xK2qM6sq8MzznwEAXL9jc0m/1Lk66QJtihevvCSAU0ENgAY5aKKJJppoookmluJUkAPn3J8D8M0A3g/gfQAGAH7We/8X3uS9jwH4swD+FIDHAJwFsA/g9wH8r977D77JZ/4jAB/4HLvwn3vvf+odHgYAMo2Z1casXwsxyOViFyzhmEmFYrZHFRzL6lrxs5m8EIgQtNkREPS363r/MbO63gpdCTu2Lwf7tnoXL6DXp885v67fdhhsUU0rte988eqnAQDPvmx6B3/6m0wpESN733CXmVDEVXYsNzH13NNljivdhIz5+XzMQSMKwppqUc3Nox3AjP3Yd4dWf1xtk4tA9nGHbGP5kytbjbk0ljCiXNYG7HceUFshaYlpzRU01d1OqhgG9jD304dsva4RECrwYrHLz0DKeYFOIlSH3+BVO6SiIrOg4dgyrrJMsHPuAW6Tyn0zZVdS2RxxX+p8BXj1oEvPno/ejj+lX4KjT4KLmMU4QxYS6iXkc4ecNd+E/AbNORfcN+2jy+p8HtIDsL/LW2M6C4VcAEBvYHXstdXzHA/W3Mm3aGd9DEdyjbRs/MLOZQDAmU36OiiTK8V8ty999+PvBQCMDm0uT5mtixF+h0qKg451PWREktLgFKpjIdclWXTUlLmx5tt9ulbyeKWhcOuObfscFR9zohe9Pn1A+syEHzA9h0uX7Zhu3bPPfeLpZwEAW8yYz58lelRWmIyMwd+huyKnHNq8Dsa8xobse3eqrU+J0kmcgWN866Yhisfk5Fy8ZPOu4jkajm2efPIzzwEAbty6hfd9+ZcBAFpdG7v9XZu31167CgA4ZHfBbCyeg+2DeCGdxNCPAbVLWm17PUvVaURnRXUW8d5Qkm8zHlXAkPcL8lYWvAd6H0hBVuqFnKxZzH2a6ZomCiTYU1oEEhzlfVXvE3pEYAqlr1CyE2jOMY6peCiEOOg9FLp327kJPIZS7pt2TBPqw6jTKuhJLHdQJEJmj/HJzxrX4FB6FOSMVMG5kYjJkorlaaEGwOmVFf46bFEwBHAdwJOf471/A8D3AngWwC8D2APwBIDvBPCdzrm/7L3/39/is/8CwKfe5PWPfYH73UQTTTTRRBNNLMVpLQ7+KmxR8DIMQXhD9n8ifhXAj3vvP3nyRefcNwP4lwB+wjn38977W2/y2V/w3v/M6ezym4VH6X2oS7a5AlbGLK/4+azumb7of41Cw6kaHUrWDhde5tQY4Ko6bduSdTJm9hL8uzt85Ip/JMVBqpe1mFHKs4D72FlJUVIzYMrVZJu1sy59DY6pfR/xeOK29A7qDmbKXsXo9czG1sgIn+fkOYwtG5yQYdxOVuHpmrgo09l+zshobhOlyKjGpxpiO1OmzLq30nn5IFSqmyvr576W4hWogG4P3i+QA7ekv96ikqFjdjorgrC9PfA8z8go99xHsYsT1qaVUmu+aD7s0Ymy31/DoEeW/jTXAdk2K7GxmZ1Tt0A946U6C9RZoa4Oqvrp0fFSjokgpFTB9OoGQQs5/RtSumdKT35RXRTzm33tlRj+Yo7b4yFV7MZD6hrEljmurljdvyWzAqIeBT3os6QT2Pjzib3WY+eLVEfnrBHLPU/I25kt62J415N2bj71Cct85UExHNqcvsNsfbBqx591iKwtoTxJmiKlY2PO8xsX9NBg1tqi7kErls5BXa2vx2zu/V/1tfYd4suQJ3HxomXtG0QM7ty0W9oLz74IADi3fQZntja5Y3a8sxmzUPly8H7hlGUS/RkfE1FgJ0DFVoqdC5cBAI+Sy5BJ/4P3obv3bXzu7VlGOs9nuHvdeB93r9nj4YHdi6ZjZrwQT8S4Sut0UM0437vkh8hzQYiCvluhsQ+eNUEXwAUErVPqHpvrQwAQXAd1XxV3QO0JAmTFxRBCKyHJLue8kKTlTrOInI0izwPCVob7gas9d0vHIX6Q0M2U8yUNSGqdJ6D7jbhchVRQyYu5duM6XqMvju7vukRjISGFPls/jqpa3O/eaZwK58B7/0Hv/Uv+bWAa3vufWV4Y8PXfAvAhGMDz9aexX0000UQTTTTRxOcfX2rdCkqrirf4+/udc38FQBvADQAf9N5fP60v96CeNhdnCbsW0pwOg3PViLhyzFW3svencQbZ5M3k4CUXRmaXSfBCr/s3LGpk7AVuy0ueq1i+P0nlzidmq31PIj+FboWcWXnMZfZobtnFi69ZX/YTD7HG6MTwJULAmpieR+QDqKda2bqy+pSZ5ozjMeWK20cLtUAl61urlj0FxTYmhijEcCaywuPNxb5lBjGjn0Muxu+SG5lqk2kmFUu5sUWhA0ILfTkfisFe8LsnsWjD9tBhDbrFrKNNxCQh10SPpWr3/Nz+gbgG9sLmxk7I2j2z1QU3RX3XRDECzMEiKDkUgTEddOrp8BdZ1lZRF0NdL47PpUGQxj3M57bNPvu2F66RzFzYpVLSZS7UZaW+KE0GejRIhE7H3W2v87vVzSDEgYgKugEZ03msqNMgFbmU7wW7EabkBWgu7pyxjpt3vcu28+lPPW370rOd2N+3jFjOiLqOxGVRPlRVOVJe36uO3gpDu05WV6z27qU02rPjunff6vl9Ood2e1JQJG+EnSLBdZD3AqmZPvzww7aPd207d2/fwb2b1m3x0EPW0TBYtfM5ozImgkMgeU8cjxZRuo1Ll2xbBzaewwnHLTckJUkNYZjxGr552zhLqunHcYLd2zZmXeoPbJBLsX7ZHqVOurZhz1c31jiG6lbitZfUf07kYhncUL2vfc5VYvu70AmkbDuecVu8TrJIc5CcgblQP3WckMfAcZqyzj8nwhDcGZc0OsI+5eIAJYjFoZJ2SNAp4C7xvq8upoLOpzm/Kygi8kaSiB9A3oecVOWLUsl5ll4sL7z2AkY6/7onSVJB/hSCEKUbg9OPL5nFgXPuQQDfBmAM4Lff4m1/eel56Zz7+wD+ivd++mYfeJPv+fhb/Olz8SSaaKKJJppo4o9NfEksDpwZyP8szFLuv/He7y+95TUAPwTg12DchlUA/y6A/xnAXwKwAuD73/mOAIgR3LLKUCVhnZKM4sAXUH1b7zqRzAYkQEpe3KZs7PNK7GN7ffssa8RQH64xwqXzr1qTj+psXNWkuTBG6Qq0yEfQavOYfIbnX7E67bd8A7ftyWQfUfc/qvf1Src8d2KQ2+Phvlzq5MImRT3bx8k8D+qLParEpaxbCwmJC/E07DgO71v2cm8JcdEoilWcKAOQIiLr/1rVz5RhnehWWCgiSq+AGR1rpqkyH/I8OqyDdwas65NbUEohMJKqGnkT7fqxHdIhUzXYbmsFYzlZcpKo51laCcqM5c6nDEH+9vBp7fWEveNlpW4NZlxyeGOxNSdqNOhtIo1sjkUg2hD4MHLus/3N2CIyL+1cZKxnz7zNm06r4vGtcB/EwmZdl9v3RCAqdrckrhc6HzTP5aKYtOrKorzUMGOmP6XzYxLbNh+6/CgA4Ij+BlevXat9/vDIumM2WNNPxQeIF9olymy7QgipPXG0Z5/NWJ9eWTHkYKVniMKdO+bzsEZjwP4qeRSon1Nd86qtqwtmfZ1qgP013LttPIQbtwwAfc/mUzwC+Z3wXDBblZqneEDSFknJ2bhBXsPu7oJTAABj8oKOyc3QODz08GU8vmNOh722nTfVuftrdrwydBCaJ5VBQaZC3orgRULUjxdlKYSgLGt/V2btnAveEQt7VaFW9e/WNnTByzky6J8QSchZ1y/lmVDqvsp9LnWdCQUk8hpHC4RASrFS2ZTMolQVi6L2vuCwK+dHcnd0Dl2k9J/jI4kCOm1++GMfBgD89u/9FngLxlyaOrpPqFMqaEmwoyxe/BYVBU6Fd/BFXxw461H5RwC+AcA/A/CTy+8hH+G3Trw0BvDzzrnfB/BpAN/nnPtx7/2n/7Dv895/5Vvsx8cBfMXnfwRNNNFEE0008W9XfFEXB1wY/GMA/wGAfw7gL7wdUqPCe3/NOffLAH4AwDfBFgrvKDx88PEWwz4gBay9qYdabwt77GJo6RsWuOQGZEGFzV7vU+lwMGC/OuvXU/bWIl5iqauOxc8XklzkglGt+FHLBXVCpd2OWcJnn7H67K/8f78KAPiuP/l9ABa98J5LWenSy14ubde1BByRicN9y6BUP+51mGkXc0yIfEyGdGTbrTuUKSPImPEe7xuzP2eNvb9qWcvalmVZ/YF0DZjl8ZxkQZdctUTqRIT6p4eXUpm4BxxD9WFLkkKGmo6r8IIn2AsFiurcgoh9yWK1H/IYtA/r68azmOdl6CYILOrQTcHMj1mYSDcap4VNJ8eeDdkJVQrF1hfbO+hkxBKIkMb8ALNcx8VtaIzIJdB3CH1YPO/VxitMOnbFlKUUA1VrpfYCOy8iIg/etxAz05NWSND9aNVdS5VVZjxnZTThcbnavjz+uGW9++QY3L1vc3JzvMF9s/kUi9uhlvIkC9oRBevxQgZnR5bxzchN6Q8MIen36WdyaMjQXWb9/f5lAECH7PxCLnvV0nUoLQ5RW9IE2+fP8S0cY7HpA8Jkj6sDq/NHa/Yd+3Q4fPoZ4xHd3mWHAXUCgvqjMkteb5vsKJmzG8TNI8yofXBmgwqX9F0ouKMTXpOtjJotQgqXGP+LW3cdBcLSq4HlfyKUXQcuTlmvtRfM2uOgyUHkRE6GZO+XQlo4p0tf5yiJL6bnKREDdUcUeYGyDPAFgIXPheZkGsuVUgqjvJfxdyEWD6IQ0shDIgI7ptvpnAqjv/2x3wEAfODnTMpnMhvC8XdD9x51wGifikKkrTp6fZrxRVNIdKZB+3MA/jyAfwLg+31wpPi84h4fe6e1b0000UQTTTTxxzm+KMiBcy6DIQXfBeAfAviLXpTWzz++ho+vnsa+wWGxxNUuKYlb6qVXX7OywiSNMS+sBhpxVbkmPfFt+c5b1jbPbfUoJ8PRRF0JRAzYlSCmrLT3QzIiGQEmc6lE/OI4ZMqhFkbd8dHIsvhf/43fBABcWH0cAPCNX/Mnbdusx+VLCYBUuSKusr1W39DqnfVQKeuVOSLuw3wqpzblxMoMmAEqk+SBbDNrGWxRl5+eEqXGmiqEThoD/Nw8F+OedV4laX6BeCxqwf7kLoSoQn1fiIFcGIU48PzzMeU5KpgJHOxb9rq2atlZl+5789nJbIRjFbpNNC6CEliXDV0H8lxg5uOlXsm3C/Wo5APBGj5dH5NY45KgonLbfEKVwB55DOqd1qBp3uu7vOTj5O9g267ALhanOriyGCkNalJSPwBJ0EqoUiEHvvbZRD4vcKJyAAAgAElEQVQXTtoRQu3UQSGlUbvONunR8OBl00HYP6QT4BFV/eaGOIhHEpCKEogpR1hyXnjOk+6KZdCjIbUEyNnJeJFduGCdBaNjy9qvvma3ngceNGVIF1T97KuCeqf8RKAavF+osVJzQ26kCY+3EseA95hO11CM7sBUFkHuSf5p04G7ft24C5n4LuyU6NH3Ypv+CTtniViUwOG+Hd+Lr7xkm7x+xd57xnQNeuygiFIhi0t8IPJhpAyom1QUkCT19cv1U+Qs1s/LEtVUHBnymIhGhjr+kgaJUC8hK36m+aSxldcAxzfRXCcaxvkmLkPqpW3TDZ1lAgwDcMjX9XdpLYzzepfK4v32GJNPM2KnSdqnYyg9TH7nDww5GOX2W5B1E8zIVxACpHuOxgWhE0TOonr59BQS/8iRA5IP/1/YwuCn8TYWBs65b3yT15xz7r8F8HUA7sPElZpoookmmmiiiXcYp+Wt8N0AKNgPWZB9nXPuZ/j/+977H+b/fwrAd8B+0G8A+NE3qUF9yHv/oRPPf9s59yKAj/IzqzAC43tg5MQf8N4fndKxLJZMoexV1p7nuXpmqWaYSIXOhfd2u5YJrG/QoY+KgTP2H0+oT68aWyKxPanUhZVgfSUcOlqlrcC2cHVBlGURnNhkSDYn07vftbrl2sAy2xkV39TPXQW3Qanz8bBV/yarVp+L2WstTkJFt7moKNCWVnyP+ut99b7bNoZUeFONcIV13bUN4xrEXR4Ya9Hjanry6NFmD/IqVR8rehWMx+o1JgpS5KHDQatv/U1r0kUPdFrbR6UAQaRMq3hm2kq49w6MGS6UZ22NNdtc/IIIU7q+5ayFdjp1N04xunP2NwfKgXqjA5dFampCN8DnyjBafF3ZjBTkfFCum3G/uuQCLNKzul896Dro9CjnS0iFjiiH+tgrcRLYgx7kMaXemIRsU+ek5ODOWSt3Hb23zsKWW5/8PobFiPtg82J11VCaHjUprt+w7oXHHjd0bIPqfqHGnJfw1IKQC58QsGzAucoTPCLTv0W+y3Rq3/nEE5cBAC8897yNA6+zjPoY6oYInh1C/wISFyEm56Ygkjhh7btNVENdKOIY3L5nj2ephHj+AXvc3rLvfP4F60g6PrLrq9+x68pJiZOPHar4rayuYeecIR5H9L04PDTujFCYW/ducpzss2d3DH3o9qXmyY4BooAFUTw5Ior3UAUo0h7EWYh8AqexKYU28IamLD2WyyLdK9XtI/8XdZKp8yT8pkhjQPoWAWqz7fFcSkl0Mp2G674tbwghQdyid/VtiONVLPFEolI+HuQkUO32iL8Bv/675pb7wmuG2PSIWA2nQwQ5A5ltBK5EvfLuFnvF4zs9hcTTKiu8H8APLr32MP8BwOsAtDh4iI9bAH70c2zzQyf+/5MA/h0A3wpgAza9rgL4OwD+pvf+dEoKTTTRRBNNNNHE6SwOvPc/BuDH3uZ7/8QXsP3/+vP9zBcWHiXKwP+UK59U/kKpzMsBjNmp9L6jRa9/zPqcGKoH9EZwkRQT7TOL9tR6z3AotPglVEXdC/xcJmXEoM1QQqvlKHxUO277cvasIQhPPfUuAEBKn3rV1INCYqh3yr+A/e09W5rKhVDKe/nQPj88nAd+gpTPVM9tdZgRseNhyLpuRSb0VDaMRArEFM7V984afTGVoiSHSZkzV/vShygrH/Z/oZWgbIKfdap711GZBVtZroTKYuUqZ38fH1vGuLnFOm5dHgOAC7VUZUjlvKo9F98hqK8x828xk3ZuuXtFXQhCrfRVquvy0vaLfRXHQKhUpWwy1EjV8aFNya2S3xHJQZL7yrqoEyeBjxVPVhTXuxscouCOGLQlCH3NJux4UD9/JhSH+8rvFKLQJqt/yj7/Fjko53bO8nP2/j0qJm6ftddb1N3IsjRkn0KAcmlDsJas7oWEHhS7e6ZsuEGdghmz/UtUKbx/2zLtHrfbYa0+iNmFOjGfw4d5K8b7eMZ5L4o7x/4adRxeevWKHcfKZwEA73rPewAA775syMiXv8/UT+/es305PjSEpUVuQkWfi5vX6e66HaNFPQ/18W9v2bbOnjeEYDq1a3TvwI5/eGx8jt275tOQkmOyPrDunAE7jVpEEoR6ijaQyGeFCIOrgIyIV9yq3zfkuVKWUiEsuE/y3tBkLWvvK5Y0FULIB4XzpUOZTzeyY5/PZkGVc0jPDd1H25yT8lCpiIwkRI4TqTjGQtKYzfO+OyPK1R3Y3H2BujMl7Hvk9pkkPqAQCSEE+TMUPN4kQItCWiTOgFOLL7rOwZdWuNC+BViZAEC4yc9EZgqEPRH4+KPhPVoiUHUJg6Zs0QnkPnvUDTha7s/Q/ZTnXuS/KMiHSryDb5dahmyIEYVj0I9f1iY5kjDgk++2m9nODiWNZ2zZ5D4JPs35A6YfLBnS6AfKJXofx4cX5KyqsEbjFxErZ7yQAklSP95cLM0kl9vhxknYc4ThK948JcwUEwb0YxKKtCgIhD7deCp1IIYLDUstWIL69cMly2WRnmK1KDlB3jaOuxRu6mb2Y9HpDLg9/ujoe+MUOQ2XOoIqyfrUok4GKo5y2LLijbs8ryIohgmkFSlh1JZunixLSOKaQkRFXi0MtLhfRcGykAyouCDR6FSh/Y+P0eLasPfTsEslAv6IFrlEtDhnJbsNhNKFtiXItkVoX7BxGiSpg9asfS60kaptzB5l4X2WtsrBPpeP9+5ZU9MDlx7msXnE/AGaqi1siY+pkASzzI60IFGZRu21SWo3/+vXDYY/B1ssbp6xMpOMvGLO4VlewvOHxafcX13HlWBzi8lQrYr2uH/HfvxzWnOPdq008PDDj9h3bttiqN2zOXm4rzKmbXFA0uzt27vY5oKh1a2Lfc1Km0sVr9Gtsza2JWXkZfp0dNcWCzdfe8WOj+dyhbbsWeizlnCZJSOxFo3OISb03sq0GOB9geWm+bzeshgH8yKLghmcFnaBoCy59kD85FzlD3VJCWSXs5RUVQsCuuTRuc1c362fAd1jSi2yJVDEuct71rykcRtvsM+/ZETWz37WDIbnnsZfuvUlKVCI7MyFxXyJuBwv/ZCEa7vC8v3tC40vWitjE0000UQTTTTxpRkNcrAUsYtOiHTUhXX8cntZLFlMZtSJQ49SqisbllVMcipBq72HWw5tLgEQZpuTU8Yg8RfCRsqY5LuUuNrrWiHHcYoKapWx1XGbmeFXfMVXAwC+67u+xz5zqPIICTReQkxqf1OrpkiSdcvqcknqWGofLooDOS9IC485RiQ/eq7GHVs41eYU6TtVuhGpT/B4kGQloiJCpkogIoHNlQX7IBAkYlBVW2Wf6NxTeyj3vZVJ/KlOjpMRlaRoL164yPcp9aybalWoMGNLZ8GxO7NF85pAMKoLLC1IfkKOlGWpjYrwYllHIHKJQckEhruU50VoQSuD/CvFf0K7rEiNbA+d2vHJkCecE2a1WWZwckHoaGHxzWPgkWnuV/CIJV9MudxEQltEAoqy3somwyQZD6m8oIFKCF23SVztD+zzawQD9PfDkWVn45FdE51OL8xnEXgTljhilrgKZq2pSmIch8N9G5d0g5LVnFdb2wbH5zy2165cse22ZMNunxfClkTxYg4Gsh7nL1s2PcdjTkJrh+dGaN6FDeN/97tEAm4ZmjUl8nT2jCEKGzRNOtq17fhcBmdT3Lpt7Y/bRBKFRkpgyAvVy1VesvHoUF55ZcW2PWYJ44AiUVPOk+nYXp/xvuICYmCP7XYb3a7KPSxRLQkpqcVVGbPIsBI1Eswu0qzuB0jfXKgpyLMLXW2pfTGCJ3pRsQV8QVrkPA7dhBJ243W+JBcd5jKvO5UjfvND1kq+SyJz1pY0Og8RKXT1iPyqe6tKmouLS8d3ivUERoMcNNFEE0000UQTtWiQgxPhnIOLo8XqTGQoCWv4OmFNRKOENf12O0K3b6tAl3CVmY/5Zsl7orbt5QKn1stqg1oQbur13sjVs2DJDlc+CyQccQZSinC88uprAICPfMwEU973yLfYrvFL53x/wiVsxkxK9TodfkJ0Q4v5KJOYjI6pRJmrVYjZBzNdregjGi9Fs7oZiVhLsk1Vq2fFTCdJ6khLQBq4cBbi0pLNMCqkQjSCLSu/g9uSkYzK+cpSgiBPSD5sO3fvGpmrxzp3wpZOZSPK7hP1p1ZAh9LSExFTg3WwMkcelUrsEncRIqRWPh6nECehPaqdKjNXa2OmTLMsUFayf7b9HU1pENW2zA9FXTCGZdsg6T0gUqC0RRyMIhjocF+WSGBBZta5kBErRG4MxmREacYTu266FC9yy2nMkmy06tq9vqTP2zw2Q/LOcrxffe11AMAjjzyGlOdtOmNtvRLRh/Nd5kd83u8b2jMbGX/h4L7V/89uG3FP9e4LFx+wY2Brr0SG1JYmDksUJZgSfdPNRFycyovXYGN8+eIFAMDrr1wBAKQ0yepUts1LF0xGWlbFM0pa7x/ad3c4Pmublu0fx8rmu9gjkfLuPZODXnUUIKPE+5z8nlKiYAtSCgAgk9lX397fz+zzsvoWcplzHk2Hto/HbM8cDYc4PuZ1ERAhcrfE0Yk0ZkJSRcTjuSIPwqu9tpSAF1EyWYQHAnBV+/wER3zdh3uN7mG6Z+lRM1i/CwV5Pidt4oEFgtAlMfXVay8DAD76sY/wu237c97zMraX5pM8cA3UXtuSyl2weC9r+6+bVPVvsghSE0000UQTTTTxpR0NcrAUceQWVqu5arT1lgImgWj1bfh6A4pctBO4xFbk03ld7lYcA6duhOUuhUoStEu1o/rCMEQAFlRD4+oz9z7UqbNMks226rx6w2qLv/brvwYAeOSCcRC6jsJDkrYNmSCZvVxJz6aqwbImL6OZOdsRvVoFM4zI7PZDZsYch4kyZTHEmZ4q4x+RAS1b2wFtlGWCI7GSmK2SsoIWcqAJHcSkfPCwCjW9IPuqFs0gn8u/F+KUkIvBLGZ4ZNnNkGZSGzRWEt9D7VML/oigJ4eMHRBHBzRnkoCKD4VGflR1fdXpLTIhR3xB50CGQpWErGIhCGwJS8R6LgNXokeBqSFrweVgnZ/h5OR3xcycZ7T0HlAOOibRo9QkDimGjJgkGraEirkFEqJOEB8yHg6D6t257Vs8YX2b4kahNU0S5jxpFZ/3exvcjmWnMgUTj+T8jvFD7t3dxRZb9nrkEkgGV4ZJ4nmI3yFEYWPDzvuQiIAEh1ZYg5dk86UHHgQAHBwZ72h0ZHN7i50Es3mJhOevkPhPICWxpZOn5PKDhhy8yG6Ma9cMvZjusw2OpemE6E7Gm9RoYt+5N7Z9GLfsjee3rZMicgt+zq1b1po4h71nK7H9VNuxEDZ5I4XsloiCunxivl9dDWPybITyrazQyIqSzvP5HFOOvWrsepTkewBQJY4lEzyiMS0hLzJe07xQ10o4h+QoyDyJc7WMJFjmwr1a169QOxkrqbtHN5I81xwWL8YiY5fLhCfnV/7lLwMA7rEltEU+ltCjfCZbdwRr9mxpnofrhV8i9Drc05xD/ar7wqNBDppoookmmmiiiVo0yMHJcJaQRIHVzUyIyEGvZ8O1fc5WvOpIiNusucVVYLArM1YmIHtfrUKr+SKrtEfwu+zRh5XhIgMGTvbe1+u7qnflZYQ5s6VB6C8mskFGt2Q85+xjzhL1X4t9zWkhFq7QDLFxuQqfSYKUNdvZ2LZjK1/JmbL2S/GjyciyrXlIFesM+fGBZQqO49Mmi1kZY8zVdsHjnTJDlIBPIHVIiyGOwnercyKAMDzOdof1TJ4E1el1TiS8c8T67bmzxgAX16BaLNtPDhPyXKz0KNQGq6BbUTcrClm4ZFDDWLO2SAZ1HLJ6dpSwANrusBefHJfQmSB0BBGOj21s222K86jPn+cvpeS35mCf9f6D+5Z1VhJuytQ6UzfUCRoLwX+HqFCwz3ZhHMplMYEle/QWs8+jkfEiklQS2Myk1IYRpHn5VF0yHelHkPPDfVzpW3Y/Hk2we9ey740ty8bbRC2kPTAh0hIMubjvsmaWrfjBnqFBbkg0h4erYzhDpOCFF6y/fXRs4/Too09iNOWYUXJa4l9RIlEsiiKRTf/4kyYH/fyzxp24fdOO4SHW8WWSJH5AlsmwyubD3ft3AQBzooDnzpzDQ4+Z7omQsqvXDGH0t+14N88YpyKliROkzcBRkTaFeCISLssIkwphGO3ZvVEaBas8F1GShPtah9/REoekR9TyhKUysDgnQsMCMID69ZVyu112igQhM3GXRPKKJd9coeB35TOivuri0v1NOgYBQbH3j6aG0nhuu0MU5+kXnwEAfPSTH7djY3eC5LslhCaEqtvpBvOuqWTjZW4nrRXu9uLmc/rRIAdNNNFEE0000UQtGuTgRDgAcexRlqo9zmp/79BEqE+lQRexVsRsrcw9pLUcOAFL0qnBKITqW9VMFryqhUmSuc4+VW16Ql0AEeGZvAYZZVf4wPjW6lj7JwOhwyFlUKeWEW6fu2z7eMR+3K7q+OxJJz1AGeGc2U41l8QxlQXF2i8cOsz42zJcIqNZMqB5Wa/np+wBTmVqxIx6sm+rcWUlESVMZbfsZWoSUIE6maPyZZCyTvjZPo1x1EEgMxMhJurn77E2evum1WJzKuOtr1uNfsJarRQRo7TOdg/Sr1UVMl3VDKW25rTylxxyLPSB2URer+OH7oS50BypD0puuC47HMLHAbUoWCOVdPGIMrHSdWjHbT4Xp4THybqwaqlClISsxeyHV5eL+v2TQt/XxkL6sy4PXC0pGqrf3U3s72POOVkPB6U8ZlKO6nN5Je0R8V+k4jmvPd9YW8Xdu5ZFJ0KluG/iHsjaW9bsQmEks5wQcepSfviYnIJuV8Qie99gIPVGQxCe/uyzAID11W0MOMcS8TgoSS2DLc/vEju9t0GDMtopv3bV1BjPvmKdSO95v8kph6zPqQOFRnA0oJpTrvru3h7OcJuXH32A323fdeOazfuYMttndkxTQaiEZMd1nhfPqUUgwy11C3Ffjo4NgZPiZG8wQEqUZaFDUNU+E7oOdK1F0rWgEiuvo+mE3RpEFKbUF1kgUpQ+ntdflz17HMdBB2TCORe6FDgvgq02EZJE1z1/LmS+d436ET/78z8HAHj95hUAQJfIbcFzrWtdqKBDFbqZhAxEb9AziJaen340yEETTTTRRBNNNFGLBjmoRQVfzRYa60ursiTUx+25FAh9zNokYiBY7Kr2Xdf0jpN6PbsiM/iEH2jteehv58KRbslIaQqjTgR1A8TxwoI2oa1xqP/zuG7duwEAeOb5zwAAdjatR1rM9znZs5lYuVL4YqbUplHTlHVvx971lCqGc+9CXe6YzH4ZJmlFD2kMBFkwrsLFRpaWPsepzfqlLIzbfashJmSxSwc9bYkFTzXHIl8kq9zYhMYqx1TNazMT3iAi0Fd9kudi7771gZ85b1wDMeA1rj7wCaQvwfGQmYyLgwJg0DcI+gXqbLB9DFwE7mue13UiKupBzGgPLE7C2tYZ7hMz0CAkqFo9ELOPWkp1/cwy2qOR1czX160GrFaahe+B7ftUCAMRtIqZtQ8mUGRrO+naCy0icpB1gtLliapp7TvFRVA3SpfGOMfHlpV3pNaoW1cQ0tN1U9dcyJiR5uIPlEIQgDNn7Hwf3LEMeXvTxrDF62ZEZCwinyMvhNaA+0p0gpyW1oRKgmSdSzlR/gBr9Bo4v2OdAi8+9zyeeuq93AavVV6kc8J1aWbjMWIGPKIx0/Z5617Y3b8KAPjUp02nf23LzuH5B2kCJsa9OBviZCTsAprMcXfXdDu2OP+fePIJey/1/V9/zdAJTx7Q2jZ1MWLV3skDkIkJx2VKtEbIgZQ20zXbh71dQy7v3buH3oohAIO+zUldB+IaycdCnIPJRFwj3Qft832iXW2iH+p6kELpJJdZErN3XqtClsqiQEo+l1QbpWraImI84zZ17ea8X+p839s3ZPb/+eV/AQD49NN2n800j8j1igJHieMWqa3KI5KmhEycQieUrp/T6kl462iQgyaaaKKJJppoohYNcnAivPfIqzyw1VWzz+isqGRnxpXknGxTCcdVWNTr8lD6lla6PVOWrb5+rf/SJVVGkWlDBsmspdu3P6yu9rhBZpLMTsoqDc5mYoszYTxRG7bj+72P/g4A4NIFyxS+/r1/yj5HO+RDan8XI8IVrHOnoXdYvgfsJQ8s/xJTjpHPVH/nccpNL5FboFwINWCsV5Zl7THJbHzWNyy76a5ZpjBj3TuH6v7MwKipH/k0iEuKU7ASrXN8uG2+3iOC0CUqcZN931I6W1212qyyUJdIfVB1YfsezQ91GJj1r6u9N3QhqFFZiS8zIfWEVxwXZeElJ4jOd0HWuV/qxVdNPmI240sXeqXnZGPL10C8hjFRHvmDyOehQ3RqxqxV9d9l5Th10MgaW/X/0dhY6p1s9UQ6wuMR5VseA0EHgdkbOQaH5J7IkrfV5klVbZqbCXOQ2/fMbuX6OKP9MKoKbWaZd3jcr+2aq+CD7zIkbb1n53uoWrO2yW+YC63jQWXkFkx43RwNiXaQT6NPPkj9g8l4jiu0YH7oYXYMMFNOqUVR8R5zPBrydV73RAIG64ZGSM3v2aeftvHj3Ns+bzyHhBoms6LOvcg6GSrek/ao3rnJ736UnRHdFln35ErknAebm4YgDFbt7+JiTEaWGZdi/av9hcmv9DI2t0yT4uDwEIf7hiIMj4yPIJ0TdS8oce4TWWjTevuI2iPHQ1N3TMmt6PMa7jH7V5Y/HMkemZbo7IpI2vb+sihQFeqMkOKpfbbNcVFXR4vn4Jj22L//cVM+/MVfNT2DZ1550fZJXh30MhGXRWqwQdvihJ1E3VnixCv67BuAgzd+4p1Ggxw00UQTTTTRRBO1aJCDE+FchFbSW+j5z1TXYj/4kNkavcBbK1ytFWLUVsEN7Q3bllKi4IdQU6dSl1jX4ePMrCq1CihjkoMeEQUy7cVFyLIIaar6NGu/IWu193a5jcOpcQ9+8Tc+AAA4PraM5/3v+VoAQMJVdTezlf7RHfIjuOLt0pc9nyyp3CFBh8hA0D4vl9wXuRqf5erfrfsdHBd00SMiIDWxSUcZIZGJqO57MfNU1ou0yndBRszFQjiorigeCDMAMZanVOfL2WO8SQfFUItnVhup5h5Lzz3APXw3M854UTvVOTmiEuSZdTr5yQuBj62c+gfUoy97MlVgtk9USHPUMyPOWP9Wt0vQqkcS+svl2FhSya/HDPqYjn0bXdaUWfdtk41/RASgYM1VfgZuLvSDmhTMSidD0yjYvWmchp3uOVFyMGuREc4x7ASte7G0U+63Hc9qzzLgo33bx+0z7Jjw9IsoiBhIKU8dBhzPlPVedabkk3FQx7v0oCEFH/uw1YbjF62L4eFHHwIAtMi9GfG6L+lVkpPnksv5kvMiicjluGPbkRLlGpEIdSpdunQJr75oXQbDWzYfNi+I7yLEkcfH7L3Xtoy6t2LXau4N3VJHxMaqzdXhbTtXycQGfOeCdRpEPNczHkuVVigSZc02Hrcn5KAwa7/wuHExphPL7q+/bCz8CX1R0tz+PiCa1yIiNXI2JwteH2OOg+Zuh11D/ZU2In73IZGD+3eMB9Ell2CwYlwKddgIYZF3Bi8LzIkIHOzb3O4TpdD7Vjt2rOIdzakPIZ+NVpIGpllJZDTnOZjRU2a/sHn9K7/ySwCAT37iowCA5583ZGVEdEL3rJSo52SsrH+B5gELVLlFnk0cJSdUXKX0iNpnFQvFxNPXO2iQgyaaaKKJJppoohYNcrAUzi1q9epr7tERK7gQxqqTkhE/PdGjLvUsZrTiDqh/PTgcqkTE1WnBunbK2qBz6rG29VtL/f/Syud3Cw1QHStrJUHzoFR9iiterdSrmd5LBIGIwa9/0FbC0vj+jm/7Hvv7LaruSXWtZavwNp3hhCSEY4dfWAVE4hBI8Y8Zb1HvW/bqWhCiQHaxp1KcuAozspTVUSEmfYsZs5Tg1PVQ+hPOjhyrgoz/FuuWWrqr/nhw3zKDbsuyscGaZWO5OgZYW+10pfevc2WbixOdXPFP8oBS9NldsXfHGM071OmXIqKULuWJoEwo8BpKuVPaOR5zPGfyqOjUdQ5CZ0XsAgNc7oFiXatL4+6t+/wMuy2kqMlsU4/Su5f6nlCRCVnYbWbIbdbHZzNju4+PR+itWiYXUWtBQ+XFTvdCPPh3jmS3a991755l43du2ricP2dZaxlKrnX+hzgNeq5+/6mbYUi+xgq7b55697sBAB//hCnZ6fzuPGDM/z6zzsOZjp+ZHhGDaa7rysapO7D3jwK7nUgMUYDuoI+zF2zbN1+ybBx0yNzgeaxi3Ufs+WhoYzygOmNKnozndXN2x8ZjbWAIw7Urtt0Z59GZC+xqUVdPWSIlfyNFvVNmTkXACRnzT77nSQDA1rrt440rhjzuD+lSOTfEoUu30i7Hb875MRfKOZbqH++v3T4G5BJ5Xidjvkf6JnN2FQw4t1RjV0eNnGETfZ7Z+4i8j5II5aBv86/LczmqiFByTpdZCzHHUuqL8sORx8xHP2Lcgg/8Xx/gvhDdZXR5jese9pYRLR1DvOANLAMBQgCXw4VuOKHDgI3NO0cSGuSgiSaaaKKJJpqoRYMcLIX3ZehTTyI528lTXMqD9t6YGeRcRSO44JKllW1wY9TrfuH+BSxqZU4dAPIxUEZVyZ2NjGdm70FBjZlyKpfCzAdddq1ERWQ/Ihu5xfaFVkSmrlj33lbZz71kNbSvfN+XAwAyWJaiTHA+tO88Yt3OVdL7Z+29KkIPr1bhylykc6DjloKZjl9IQ85so8VacYvHH1PRLGe/utwfp1Qzy3o8lki91wvOQcbPRtJSIHs/Yh1vTk7J7h1DUtY2Lat3a2R2E6UYU99iTIZ4ye2kctIL3SJSv8xD5p8k6sNnPZN1/yoTT8FC2ac6H6iONV0AACAASURBVISwSLVS4zBbQhaU3QhRisS3cC6MrRCEORGCoAnA7HR/19jX3XPnuTf2d6n5HezZ31eIQKheOyXPZCYkJejl27y5e/MOHmL3QSqkgNdO7hfa9gBQOTk+RrXj2Dlj5+TVF1+yfWAtub9pc1QKnIHMzYmmY4w4rmnp4Z2dxwl5HWLCX758GQDw8ksvAwASjvXaFt0reYkKzTiYqotD84Ea+UQOPO8nAtgmvHbjOMJATo5rVmu/+rpxENI+0YpteokQrYgTQx2STD3zvP45Ti3u0wa1CPKZ/X33nvEFbr5mHIXzF00noT9YwZQIihqm4Klvwmtsl337FdUIB9v2uO2NL7PH+aCOqvt7hhS1eN43t4wvskF0QI61R/T6OD4ehzF2vMYycS7mdX+DgvcP3aN76t7I5F5oc3x9xb5rLn0IdSmwg2KFCERKfgTBX8ynU3Q5p4TOTef0eyE3SVwEhRRBhWYK7RMi4N8gV2ohMCDRHA8KiQ7L7QgL5ciytm1dF9LDAQoUxZsopH4B0SAHTTTRRBNNNNFELRrk4ER4eBRlAUdowLFynk+ptkUtbJB1mnW5mouYvXmPbofKbn0p+ikj4uo8CMPVl3aLZ3UVNtWepLGuPnf1kKtUr77mrBMHhz9lrvIZF6qh7NUzO5vzuOQdf/3uqwCAn/nZvwcA+P7v/E8AACtEGgpm2upEUMFX+xAnbqHPwCxpzgxAamBScYzdnH9nhszPZeytXxmscZ/JKWBm6Qtff+RS+WhmfAF5WWTdDvqrqlNKC521Yu53hyv/u3S4K8jJ2GQngefxqkYa03sgV1cCF/kRz5FbWnK7yKHFzGiFrPI9b7Xz4yPL6AbnrRas7EMKgcofZuy1Fw9AmYO6VaTFoCxEiEPOvvbVtdVF50JSv+yPyRAXK3+fynVnqRiorK5NronqvyPyP/pUt3NRPZtVl8/amtW/bz73KnY2LYtsrddVKNHlGLM2LH16qS7qfT3Ws9fIXr/xirkTPjp4l+1DJjMTHpyTnoI9nRPtcUkKR/XBkv4mM87V8w9YVn14aDX0F557DgDwVV/9VQCAVSIC6pxQ90FELovU7TTOUu8MKpdCGqMqkC7OXrBx2XvZsu7rN6ye/66th3n80hCxbe3TCVJck7Y4KqX4UlTO3LQMOiWqc/Oq6QFcf9W+5+KFB9Ba4XXBXFEaCCXn0u5Ec8y+c5P3sN42zyHNXycjmw9tXruHh5at375taMXams2nTteuR0eUb17kmEjvpKgjqxrDjHNphef/gOjWLjko0n/o98gj4j5K9yBjp5IUFsdELfQ9umRns3m4VsX/6bTE67DPPnjJdCrWBkTSyNlSCP0KSrt/SCdBJBg1WvAKdP/UR3Xf03Wu0P7rfMdxDOfcW6IVn080yEETTTTRRBNNNFGLBjk4GZVHMStC8U29tHqeRqytsgY1ZcaRttlLHblQRwo1okKZkDoH+LBEPlWGGLMTQgqLYsCrP1wrymWPrnYixcUy9PwLMVByVsgRkKvQyEsT3NW+o6D2/u/+3u8BAN7/xDcCAL72KeuVlruh3P3aXFm3e8w4yllQ3RMioJ74LKO+umAMZplCFpSdrrJDoEXnxEV7LxGI4KLGsWfNMeNyfcrvRwlMxUsg01s1xc6GZbTDA+NavH71GgDg8sPW3y7ddvlDTDn2UqXT36u8rtIYxhOLGr+yMdW1lY1MtE+VWPbUe5BS4hI/AKXNwY5qs9yOuAcdZlpyn1Nv+Xw+D90px1Jw5NiJ2X1x3TLmG9eM4X64byjM1rbV+WNCIi3qW8hDoM3rJOL2vTJjaeqz1zxGhH3yOc5RwU7pSULeSiVOja4fIQixrkl7/SwdAl+6Z9ns3euWnZ67ZM6C8hQoi7pXSeBdxDEiaR7EdJ1U7zw5FI8++QgA4JMfs+6FF18wBOE9X/Zltg1e23ISLSCPCfsuzU05qs69joXH6suFEyg7BnbIBbiza+hdOScK4evXnDg4q/1VjgsROKn7qZuJ46Bs/sKliwCA6/RLuPLKNZw5r2uNc5TolnweOqmdq+HY5sMrR4bWbJ8zZG2b3S753JC3mOjM2bN2ju7ctXN044ahFisDQxhWV21e9TodIGV3waHxosSZgbwQ0oWWDAD02Hl1zG4EXUe6IXZanJPSCcjrzptSBxXfSs6qcRwHXkLgFkRCM2wbWxvG51ghInl/n+6eST3XfivEQHNQ1/jyb0FRFIsuLv0Gvc3ug8pXp4IaAA1y0EQTTTTRRBNNLEWDHNTCAUjAUj0ysvpjrvzVo5+1mZ31udJeI/u/nYYacJHbSrhiNhkWh2FR55ZfsO9YSGPZg5CDaOnt/DiTnOBGWKJcdB/w9Corl25/Rt0GsdPL4GBmq9T9fdv3fWbUL5AZ/tVPfQuARR1b2Uu3V2fr5nkRXMRUf0Yll0EeZy6XRr7gpQPBDhHum2qGqiUrk/Ssj89mZCGzc6KkTnyLevatbjsgHS6qcyUSulDeuHmLn7VxUp1Wegbq+hhT1VBZmBQkoSxHohaqA8r3oahCh0NGFcVVsql3bxgTfOHJwTnGE6u+/7myGCEEqeacPQ6pvT+QCqYc5cT5yOdI0zpfQdkJ29iRk7UeQ258liGub23WXl9dtX2X5sAaM0f5HsjDQRlzynO5trIeHC57G5Z1rbLvvmJGvDD2I8olDkZLved0CCXycOacZac3rzEr7du+tuk90mrZvoylD8HrpUIROAIpr+MJs1b5fcgR8pHHDUl67ulnAAAvv0Rk4dFHAQAzbjtdUjetCP9VSyiXOid8vjjOOT+8ss2xjDguJEvIIVVqlI9ctH26ecXOwf1D1r2ZlSZUQfV0Ti143XRWbc5evGwIxb2bu9i7a5+VPsrhno1Df5UIAtG89XWbUyVsfKYTQ6X2Pd9PbYXRhJ4shPs2yV1xzt53SK7GeGhoz/rWBmIif0JCZuw+Ghf2mZQcJWnPiEOyxe6V+3cM1RCKh9CxRbRLOinsXpBSZpv3wlV24hwdHsIX8k4g0kb1UXG1jg7Ia1oY6ABYoH7LfIllnsCis4CfK+uoYVUu7gNlUeceKMI2ZfsTunJOz2OhQQ6aaKKJJppooolaNMhBLQw5cE4dA7Zcm4V0V/3QVOVj4tgS5yDzgfnsUV8tKrxKSEt+5SEirT7tKRe8C3wheH7z71lSe16VfqGBEHQZLANKvDwGhDJYSLFsfER3NnooyCvgNz/0rwAAX/PebwMAPHLeMiYxiFWTm8wW/d6qT7s31NWk50DlQ2aVqrnKY+CAWVzFbKu3wkxY6n7SBwh9/TaOypQnE/Ycz3J0V6TYZtvokHMwH1umfHRgbP1zD1o2FbMjoGKWEiVSH7Nty0Funa50LIeCZU04+Wao3ln5gN50mYX1e5Yh3Z7dCfsJAI4ZVMH3p9JW4N+FJHiOY9qyjOrw0LKZ7byOEnXI2ciPDxcdHMzCRsz8+l0bHzXir1Of/+VXzKVQ6nFy0+tQlU/wlVTsgniFJiORhJgIzcpgHSXRibt3DTGJ16h70KUOfUBfpJVAxTtmbz32+asuvHXGkIPD24ac3HjZWP6PPGV+CTp3Us7T/MjLaaghywMjHlB18oDZKs/rxlkbjy9L3wsAePG5FwAsrvHHHzflwJJcDl3RcymtqotByJXUO4sycGdch+qV7JTpsZ6tjo8JO0p2d+nBsGncioxEISmCKlsdTe2cCUmI2vVukP4WHSRnU2DC+5kUMHnt3Ltncyoll6S/ZnM361IvBDYPhsd2nNNozK+013epNDro00m1RZ4JnWWPjuz9x/vH6PVt2wN2grSoqRAFBGnBIQKAlOhtPiEnI5Kmhs0P6aYURCY7vO5cVldgnfLe54gwpUkSvGh00xUHJWdX13PPmofCPXpnLIcQgOXavxCDOK4jB+JXiONg93Bx1RR11ElRBSnQuv7BaUSDHDTRRBNNNNFEE7VokIMT4cHSOBdj8jtQTShhJ0FYnLHvNTh8lXGoa4tdqwWveuFFaFV2Ca9MyR7iRKtIvhyUEpkRymNBrbGRMgIiFicY0LE4E3yubEvMXNWEc6a8B/vMACgXJpb50ZFlK5/89KcAAO993NjanlaQR8wsK7VFVC5kvCmzEbkuRqrDB6VEyU3Wj0cs66PDI36HZXOeRbaCtXcnJIJcAzBLK0PWnwRddY1Rldhz9Uqrk0C95hH5DVLbU3a+RYU8Zb0lsxtla1VAS9T2seARJDzf6rPvyGWPfdu798niv2TKeOIW9Pkd+xNqxIvTwnPY5vjeHgqBsM9l5CJoPOM4woS8BHUytIkAqKMmypRl128L927YtvuPEGHgmPeIxBwd27lZ7ViGHaOOiinZydop1tghcv/Y0Je7ty37OkOPBMcMNyGSNNO8l3KmLgzeutQxcvHSJQDAs5+0rO71V63z5Nyjxs4vUh4jhUbTyC0UInldz6klkTArnZFbI42NrbO27xGeAABcef0qAOC1Vw1hufSg8QBK1ruFUkgZUQqCysjyWR7U9YKnBP/YIrolN1c2H2BKLYFXd029sZhQ19/XUYkklQ4Gr4tE50TuntQb6SXBnbLbs6y9Q/XAQ3bpHB4bAiANhX5OzlJb32njM2dnhVQKV1dtvGJ2ean7IXY8CZ7jPJvhWEgh57W6EdJY+ia8loSMCRHitdntChGg0ygRBN3Dx2NDKQZ0eUwC34roEedZEsXIId8adqMQOZnPbRuvvmqdJEKz4tTV3r8c4j1ImVW8gJD0B64B0QK/QP4EFOuHIPBVfB1xdkvbPo1okIMmmmiiiSaaaKIWDXJwMioHN2sH/wNlSMEhUV70VDtUL79jphDnJZgwvyGEGCSx3MO4mkRdC5/SA6CoGlJ9qRQSK2kL8O9pVXs9cnHoQ++wxlfO6UNfWCawypry3p69PqLnez6maxz3MdAhEjvOP3jGuAff9C1fDwB48Kxla1pBSyGwKnPkE2an6YD7Z9ueMNORZ0RZSPmPGcAKMyanerYyZtZvpTRJpEAqZmrb8FRdyzi+7XY7ONfFrLXPyFu4t2/IwfYZ69dOWJdUa3yhbgWiEcoc790xlvWIKnXnzpgHgWN6p2NEKt32HF16RByzBipew+o54x4cXbti+8Aeas0tTw5Ch26GynA8kZcOs9HOyB5nty0DwwNEYFrsi+9ESPe4Tertp8ziDybM2siX6a4ZQtLZsnlyhboHD16w8x23pZhoj/eODElZGdt8a3dY3ycXZe45/1YqHM8ss9s8a8d556YhB0dEIbqOdWldH0TKgucCr82cfAZlXZ0125dzDxt7/ZVXzKNgbc2y4MGGHYvStayVLngwRJZcZedoWlEbgtoBcvOcEgLI1uxcbM0M5XnuU9bF0Ipt39eIQFWJIS1TzlXHeRRzLmeJQ+qJgE2kHCp3Stu5Ebkn/DPOEyG5dZUKm/uGOMmnIJ1SW6K06y+viGqJPyVODuyadYMokGXmsGst4bXUG4hLZWM45HfM9m3uRW07Xtem9kpSd8DU/VNdTELLIt4jI967WnELLmdnwBE1RegIuc7z16M+yrSc1Y5H942MfJEh70UjIgirdGGcEDk4HNk12+J80y9gkjNTd8BMCrPh0fOzdr948SU733IUlaaE9ikKWT75HgFRrGf14k/J/0IdCfJYABZdCQu+gvL5f/15fbM4OBHee8ymkwBdC7J2YsHw3KqFUdBdGexyFj+oEkLRfBD8+UZpXf5HnSl8bLNukMpoiH/QvJF9bovWrnF4fweeNwStcdT+J4vZlDB4pNPPm1/MjUeoi7YINr9+y34k/pe/9eMAgO/7s98LAHjvE0bUEsHLz0uU6gdVuYQwXhSTWEeyVsTFjyoSkv3VjVtQmy60HqFPbV/wWsw2rCKrw29ZkgZzlYUVKxcYfL5CGVSN4Uztc5nEamR2ZfuytWU/QLeuGdze4yKsS/OfklhgHrSvK0zZcpnyBjLh+eyt24Ikumn7IpLTuXP2w5MT/u107H0HI4N4c9mJd1m2aalVy36IO7AfQ4nErGQZUkKtYwrGTEkglSjPiO2WKbd98bL9EH32D6ycdMjF0Bp/aLuUrG3TBOj4UD8umpNcoKjFMXKhRSvt2019k6TO27dtLB9eNeEhlUe0iEpcUtuWSgItEQ1Z4jv7IMeNf7/+mi0SHnImQ9wisbX0QIftkHlJeDghua3SdzEJkBw0J6laOgVRX75k+/z8s1ZeeIyw+YALoC5/DYuIc16QcRvwHGunxQ4TEf3gDEksFPF4lUZNKX2E71BY6MpVI2LeeN2u0XMUIPJxuADt+GUmVMj6O0aUkpjL8mGfP6gpy5JtkkXbLHUMKSo25g94wTnX7YmobWMchLuC+Vq9lJhykTmZ5KE85vmZMect+OPYZZkh477EsstmCY+VDbTYfjrhXJxzuxIfG7MELKM2yZS3ec6cq4JpnEqTKk3c37VF8F228MrivSw4f5Z+wJdlysullkWVBrUACKJJsQ/34OVYFlBaDu/9l5Z8snPuzznn/g/n3O84546cc94594/f4r2X+fe3+vdPP8f3/KBz7iPOuaFz7tA59yHn3L9/GsfQRBNNNNFEE01YnBZy8NcBvA/AEMB1AE++jc98GsAvvMnrT7/Zm51zPwngr3H7fw9ABuDPA/hF59wPee//9hew30vh4X0eIOxYbYUiEcZCDAR58lOS14xPSqdqaAOjxN7rtRpllh26JrUiXMCe9lwQLVf+WX11GkgwsiGuqgCD5nm9PLJBC+IZW/hE9pmOJHVMwRUiIkJQQo2Di9mXr74IAPj40x8BAHz7n/lWAMD9K5a15KOZOtFQEpoNK3xZ50rsyAlOZbamD3LVrtW54OQyIAmCX0k2JPxaSnhH5imZQ6ZpTvh0xKyiR0tZtTaqtBOzVDFjZi375CO2kwk5ONw1OP7OHct6L3VZzmH24iv7fFL5oDQUc2xnBeVeedyXH7Hsc/cmyY4yIPIytWLLJ49ryvkzIlS9QjGYIUlkG5wWLYiMWgTyWwH77snQ9n9zh6Y/bIc8Zhmqk1q2tsryw1WWF1aFtPA4z2xblnqP5MI52xVbzPKCcngUYWXVMt+DI/uus9v23fuUJL9NQSpJ8/pI0t5LqBazruMxBXg2WI5i+eH8JbU4mqTvledszj75nqcAAFnWBcGcgF4VTtkkX6fSjqR3RdzM+bqy94sXDZU42rUDff15G6fHYPu0smFZ65zIREFp3yIuMJdAErNG3Xs0aPdJyN2inHhBxK0/sOtibYOGQxTz2b9j8+fm64YkbJ6x8U04NyuOZysRguLhW3ZchznPP5GB9XXbplC7gvvYZZtl0jEk4GjfPr/H1sdW215vs5SWcZ5IeCiQhdk+GBcRPEWw+iToKi8+OjC0SmW2Ts7yE9uTU25b2XeLJZGYCKNqHCKNq1VWaKBaGoV6Whmrfq8WiTMI3AkB4D4uCOBvLkS0bLcsxKB6i5ZH4ITc/lIIXQhGS2+BIJxGnNbi4K/CfrRfBvDNAD74Nj7zKe/9j72djTvnvh62MHgFwFd77/f5+k8A+DiAn3TO/ZL3/srnv+tNNNFEE0000cTJOJXFgfc+LAZOs5XiRPxnfPyftDDg915xzv0dAD8C4C8C+B/eyZc4Zy2IKdl+PWaMHYp+xJlWbbbaFKlOPABfIsAJWm1WhXgLRBdUhtaXUmhIAEAUSCskszELCxyVIM3L7UgulDH3Do4ZjQg1qmtKOEfiPDFP/5DEvNjbanthRsKVLrMVZb8JF+VX71lLz439KwCA8xc2uYsFhgckYZE4qXp/WbAVB2x1JHrRYe3ctdSqKethy2L3SbwSQTGVDa6QGCILKbej3tEcEVKSIctKFr0S0LH2OUk4p3rs1O2hFxwFoTUUw2J2Mjm2rGTvtmVtWzu0OpYplItCDVltc3qek2DV8pYR3aMxkWe2un7OEAFlr2qVlcDOkPK4q+tWJ77DfQDJhf2u6r8zKCdNmUWqriuRo7RLQh5Joo4ZdZ/Ssi9/ytoEL5OYuMKacZecg9W+ZbcjtkyqndI78W08ujT1Ud16zol/kYZDL7xoAkMdZp2r6zIWsn1XW5iyrZzjMKZxU6brhHyBx54wRObKM8YHeOV5QxAefM+7EfdEVJVoVf06Edl1XiirJDeD4j292MaxxQvisceNe/P0xz8BALj6jPEdnnyXIQvJgPvOOTBNPArdOwI5R1bv9p6dC9aK2eZxS2hMCFlBBvP2ho3TpQvGuZiNbE7eoEXz2pbNSdmXaz75yKHbsbmzumLb2qc8sMiBXXIQxE8WkU4ia5ICl9jVlJyd8HmOpxAEtWOXPHdxEiGlDXrEzNizXdITSdBdsWK75OEu9zG2udYlOVLXqLhK4uIIUTgiWqYNqq4eyOWVQ0VRrAk5OO0B+VJCUDnJJP4lhGQ5gnnSMnJQ1m2pxUHRvSw6+Rvq6shAESyt63PJ1eye/803XjrvnPtLzrn/jo9f9jne+618/NU3+duvLL2niSaaaKKJJpp4B/HF7Fb49/gvhHPuQwB+0Ht/9cRrPQAXAAy997feZDsv8fHxt/OlzrmPv8WfnnRwxuSXbWwwzGCWG1jY9moZcyXoF50ILrSxsEZKUSN1DoSKelX/T0W2sjoJAgITuh/k2cwsh+9PWuIgLHoolflErGc7sudVp1I7pWO2FamrQa0SHbX1SEZYdqYyP7Lnz7/6GQDAP/xnfxcA8MiOZZQ7azt4/OH3AQDGbJMbapUdsdYpXgdrpRppT+7ANIiXWGYwoq2waoUFs9uMtXgJ1YjlXjJPjiugogV1rvPJvlK1Qc0oflPNOV7MEFr8u9jKEhSSoIrYyHp9754hMOs0ImqzLRO+wlz2zbEElsiE5/lNJZ5FqWtZ0K7NdM4W3RcAMKV8tLgrg5Q1ZWYlI2ZW68k2j7mDcWGZUBGsl+34JhQx8n0aSmW0yVb2xXlQEI14/YoJDD1ClKa1QVllohQjiYLxXLaISExGx4g5Du2evXf/yIDA82TXb68Zv2H3jnEFZMTjmFE6zs32koSz6sELxjhr6107Rw/QPOmF50w86OrLr+Phd5uYkThEbY79dCaUhrK57IQILHbOwRG5GS5mNscW4kefMHnxFz9l18fLlFs++5DV//ttO6YsS4Poj2TEA0Oe2XfEjFqohkzfYolD0bBpbdvOwVmKSWX8jhs3bBzv3jJEiZtFjzX7KIkC72V1YPN2zjl3zCxb15aQgtBGKIGzTK2Phkq0iYqNKc99fGy8CU8hs06P/BBJo3dWkHnyU2Qn365zSKYT8neIqOp6mbC76Whu35EG6W4ih5JPJt9G0uDivEjwq8NrfV7MUXAbPXZd3LhrP0e/+2Fr5R7yniS+g+63ehBCIORxWbBoGSlQLEsjn4wFP4Fz09Wf/9tivDQG8DcAfCWAdf4TT+FPAPgNLggUq3w8fIvt6fW1U9/TJppoookmmvhjGH/kyIH3/i6AH116+bedc98O4HcBfA2A/xjA//b5bvptfv9XvtnrRBS+AohD/Ub1ftV5+t5W8T3ankYsqKsG5+ClexNW+GLLSlBH5XtxBmRvG/pXZVXMlW4kKVoKqYReWKftkD8QVq0FkpbkfJl1cqci9vR62r5Ojm01Ph9KZIHZSIedAkRKxpQNLSTYQiSiN7DtPvuigTGvvmyZUicd4P3vvgIA+IavNHDo7LahCvkxNRd4fKXsbdmlIfET9SGLRRykfoMFMfi6re5jZn8la5Kyo468C+x51UIHW5TBZcaj+uu9e5Zl7WQ7PD7bdsJzOGInQOklYMWMiwz8q/cswxgesw4qRrXLAut+yp7wCuoIYZAnsrJmvI3D2ya0VIwp9sTj73Cfx8w+lDnNHa2c+b5digut9C2bK7stVLLy9nUkqENk7Ih1avFgQscHUautDeM/XKVs8Aa7HHYo0CRb3PV1G18JziSs0SZZFix1hSYc7Nt7xmMb2wvnjXswYr363g07jp2LVnufDanF0Of1IRGsXPVrdr0QDjvmnO3RaOj8Yw8CAF556RriF82S+sK7bdsZ9QimuboWiDAxu1T3T8p+fu1j4tj2wGuyu2X7dv4RE8faZ1/8Lu2q748MLdm6vIPemuVBheSTOSFaFFCSHohE0IqyrgOytWPI0ErXzo0MlVLyIM5RL3p/z/b1Pu2Z1d3T67cxS2WPbmO5SQRBXBpPeEv20kE2OLFzsbJieVlCro6XrTiRJF3bt2/dBABEmvvijYwqrK8SESKq6XmAbXXYSDyNtyrN607bjmOPctzSSekS1ZDGyYj8mrY6iohM6HpMeW+czcdBmvnOXbsG/8+/+1MAgI8/Y1wSJCJ8Eb1FHc3V74W4BUHX4hSy+rdCF052cZ0S5eBLRz7Ze18A+Pt8+k0n/iRkYBVvHn8YstBEE0000UQTTXwe8aWmkHiPj6Gs4L0fOeduALjgnDv3JryDx/j44jv98sp7TKdzZC31VLPWyqxkeERLYq6EU+5lyALzEjlX+NqGBMqU4MiEJQ3s65THye8iCjFkHVj1b+9EDOAGZDyiLFCOMq4M25irphWLQ6FsmrauygzyqLZz5UQ2p6x3chVeessY+kQMVlbrr09jZbMjfPAjvwEAeO11yxa+8au+HQDw1MPGOx1yJX9mgzVxcikchKAwe+V3MxlBTn6A1Pm6Uv2by/yKqAbZy2kcI47VucB6JjOlWeAgMDMUwiDFN9rILsuequtBS3RZQa+sWzZzn5bOG2ctm/PwQeZXHQDSbxAqM+PY94lCDFlzn1K1bpPdCMocO8qwUrL1mXkHJcU7lqVWU2YUnUjePEErIWFm0xKfRf3sGhZpUNA0apvIwesHtk/7+7Ye77CjYHPdslYxw8VtOSbi0ut3EGeyxmU/OjO2g13LaFc6to0HL1qG/9JL1hHTbtuY9jZtjGWiJYvzATUFyinnOi+8CfkAQ/bw987Yvm6Pp9i7bvoUJAgZKQAAIABJREFU5Qs2htsP7XD/Oe+JWs1AtIffFXWYKc6ZScPq3aB+BKgh0Dlvc3BU2uOgIylfe9+tZ65jwPPaPWdoS8bzV7Hv3/H+UMleWl047FLoEJ1aWadcMtk7c4o4xORBSIlSHI571OaYHB/CD2TFbe8V+36DCMLeoY19m9dDh90pyoxH7CCKWbdX671q7rKCPn/GUKHjI3UYiHuQ4OjomCNIrgjRrEicHI7DmOhW0bJz1iZ/YYUdFaPKtiPLeHG4Ss5toX9dqmPKbGvIe3yJIlwnr7xi/JTPPvNZ26b0kqVGSmVEtZz4pW6Et4dlv70Q6vBGieaFsZqiKHAq6MGXDHLA+Fo+vrr0+m/y8U+/yWf+zNJ7mmiiiSaaaKKJdxB/5MiBc+5rAHzSexYDF69/K0xMCQCWpZd/CsB/COC/d879wgkRpMsA/gsAMwAfeKf75j1QFh7HOVfdslnOZH9qGcSUynfiIKQ9dQV4JLJGlUy2LJa56Aw56JL/wZy1sikZ4TJwEr9Buglixmq7yvKksFh5YMpsVP24bWaGUt1Sdj455mqZ+5BQ+W3M1XVG29zugKxczhYu+IHQxSBjGvtcnLTRTi2jeeF1Y2q/8KzVd3/kh/9HAMADZ6zOK/OJfMJtkGswI1RQeSEr6j2XPwQHKOi26/3cNSkxuiQo3nn2iHv+bULigk/VKWBv3Gfm32INtcVMqkeGfU4eQD6WJrpNlP6KZWU3bxpasrdn2xmsrS70LvgdlWZ/SZY2OwK6rIlK336fGfXaDjNL7msmrw5mZRW7NORrUFD5bcKe/M76SrAgDmVL1Xz53o707Zk5a59VS+2S35Exc7xNRUQhB212OXT6EcfD5sAxTaGm02ngRKh+PSBfYUR9h2OqUA56Vsc+d9b69m/eskz3ArUJ0kwa++wgos24untmzPKrrhT0aEvOub22vYGUif41agE4cnW2z1uWvbhomaUJ/WOG2FmlXgSRgBYtjHPeH8DrJ2HXyoRz/OyGcTUwLbDPrPza0HgcfXonDNbt+NsDZdea70LnZNXMbDW2c5iRHxHxHOUjXtx8yIjqXCBfZDQ8wj55CBMaj6mTwTEbVRY+1zzhHO3Sr2Ai63p2w4jvIzVQ5EQD6EWBufhFfH8nCoiS0Ev5fshzwpVSbyWSSJQvKMNyrNtSVBUSUKrbh/dbdnfofqHQ/TVK3KKri9eqU3tapE4Sfbc9eNSNl4QYSBfjNLgGiuVtCTEQuhk4aacQp7I4cM59N4Dv5tMdPn6dc+5n+P/73vsf5v9/HMBTbFu8zte+DAudgh/x3n/45Pa99x92zv1NAP8VgM845/5vmHzy9wLYAPBDjTpiE0000UQTTZxOnBZy8H4AP7j02sP8BwCvA9Di4B8B+B4AXw0rCaQA7gD45wD+tvf+d97sC7z3f8059xkA/yWA/xSWI3wCwE9473/pdA7Dw6MMq9WwCJN6oeq8rOPmx1wRUymtitOg1Cddq0pWytKIlzohMxz1uTOpQzEjl4CZYZbYtmderH52FJDEoH75oVbSiII+Q4cZfZ8r4J4UDrv0aWDzZ0Ft9Wpuq25ZrMZTyyjObFEjvce+dyYxWimT+IzYkRuaJ7hDFvrBHTq9ta1e/SFyEX7ge2269KgZf/g6PQWUlTHzWVhWM4tl77n6vo+oxieNhjb7pYOLX+QwmVm2WHDlL7a+k2sc979LFzr1VJeHrNd7uegxS5fWBDXyS6i+aduJaF27x8y6m/UwD7IVREA4t9oaOwk7FuyoOGfjcnffMuZDIgDrHUMQWrKJZXabU73TdambwaztDr0KHtveQp+Tcip9DnXCcBsJbXwhDQrOd3C+VKy5Zpt2oHtk4c8PLdOeM6NMiRplPWb37EwYToZw5MFIlaNNbYURx/pwYlwJeUms0R5ZHJWrL10BAFx+wm4tHccuFtbgK7bt5JzDCQfWz2URbgM+q0p0z9hnNysb09uvGOLTAX0LNu0crMb2OKmo6kgFPc8xH/P1vJDrIHlCTIbX2EFw96rN8d2poSNnN3awtWK173hMPQKO6YjXzxoRhM0zNsYt6hf4XNc/ETd2WKAlPwSiGLzmq4gOipw3LXZmdLsryI1agN37VCFl906HfIWYYzhkdwborhiy+b76/TkXqStSijCg19nlFHM8KhovHhwOsRkZlySlKu2wsD8uLn92LRE5LJj5T+UDEtk227F0QKQfU6/VJ7x2S2oVtDh+M92X0yjoWtzetfkgvlcs3sdMz3l4vu62uGgo4JyryxmETpM40r5JGfGtfRKWuQbhG7jx+F8DQ+C05JN/DMCPvc33/jSAn/4Cv+cfAPgHX8hnm2iiiSaaaKKJtxdfat0KX/zwJ1dwWqXVa28zdgPMqNHfYbZblQUm7EtucQUcsZZWSd+fGa5nL/mcK1x1RuiEqJ93TrU2r7IXEYOYCmFyiJvJgyHK0FKnBFGGGTPhLPgZ2GcvXLBOgeMD6pXf0nGw/sZsts1aKpP5cPxzZmMRM4uqsEzxYH+MYzLa5Xg3YwfAP/mnPwcA+PQnnwEAfMd3fCcA4Fu+4hsBAIV0D0iEUFdCVUh1jGgF635CSYTIROJ6SN2xLBf+FOSDSG2vmNVrh3IRjMjOn7Emqgw64j5MiThUXMXHRGYS7sPg/2fvTWNtSa/rsFXTGe65w5t74CCRomUNljiKlERbomU7lBwlkmPZGWQjQYAMBhLEQYQACZQ/AZLAgBEHseMokaLJgyYTpqyRU1MkW+KkJtlNNqfuZjd7ftN9dzpDzfmx19p1vrr3dr/ud2lSVm2g+7x77jlVX1V9Vffba6+91gY7C+a2/fnhAtjhcbiEPrNq1bOl285sa0wPgumWZYo3qL64Idc66mikzGYyXpyIehg7lyzj3H1KCnnPdox4eiLE6tJgtl0X8gOhq6fQGg56lNo+zl+xbV8g16BmrfngcI8nkvMlkyokVeg2Zqh57tJYtVJ2vrDWfnDTsmpl4Q3P6d33WLVy9ZR9/4mvPAEAeO2fMeXDET05lEltEHFbsatBSBISMckbZFt2De6KVX+36/X4o8aHfkVuvJhNdWFsSq0Q3PaKh2vnU3yJdsQsN7YxiA+0xTmwOrRjW1QL77bZIYwnd9I9OmTuk/+yosLoFrtZZptqldK8Z5dCLSdBjk2eA0Q5Wj5vSnpPNIiQcj7sXDAIYUUtiZr3iTgGE95ruob7dIxMS7v/pXqZ8d4rhMyJuyD1V2bMm1s2tnZZYElUIjln35V2iDQH5M5YcH5PpuwYmFOrhc+X2K1y7cV5ARx7Tk6TGpDGPN8HvNezJsGCDqFffOQL9h1eZxG8+tyC07wM+m+fRj3Q54QqrisnvpBq4tc6vtG6FYYYYoghhhhiiK9zDMjBerQR0CTQcrPrMJCjYFhbmm5I591+PloWqJnRqm8dK+m0c0Wv9mye+tYzYdaB+cpkAysyhNtUro5avWoVzgxMfuRtg4bZUs2lX6lsXEpoY1vhv+Y1VrddHNr7T+XGD52SVby5Q815JinuLMjB6RjyJTkYC2bKexXqkpltzGyL0Id6hR/+ojn8Pf2M+c4v/7r1J//Ft/4l2wcXz0fiPwgR4PFWuep07DRI5AMhZIbnGy0y8hQS8TSI+MyoTyB3tZpZibwUDpgZqXF7rF56Mt8LnueW9dxtqRyO7Pzt7lm2v797gPPb9p60zxt5LcRy/rN9qp+74T4unDOuxrVnjDuwOJTOATNC+mNEmVwfbbvnmNXvPmvIwXPXn8OlLWosUKBD3QlS45S6pDQTxDaXx4T0H9RSfYWOkY996VEeA68Juzw2yCAfsa6OGFiwVlzKK4HnYWNmNecV2fXXdy1TvOeKJE9sW/fKvfExkzV59hmrC3/TK15lu1DdF9IqkbYFe9HV914usaiWHKft+1XfbEjB40Qlrt20c/fU8+YlceleQ9rO3WXnVnNPegAbnF97t2wur3iMDfkA2xv2vYrX+ubhTUcWlfBKK2DG+ZLy5wW9RW5cJc9jaWOWxoa6d4SOFUTecnp0TIhkCkCRFkoTASP27ev5VjObrgsx/olGEd1pyB04Wthx3uK1WjKLF9KgZ1PC86B5o06rERHHdLqFBVGnJdVFY3IIhFbN1BlBrsCKY5KDbruUQqDtQ14kQhyF2GXsSFnR/6Pm/FNn1qJY4votu+6PfcWcPKs67PJRNu+ZdXwKJOChZ3T4Of0d6SQK2IG21nHwYo0OQhmETv1J91YYYoghhhhiiCG+gWNADnrRtBGSRM6IWjtpdSaXOnt3i/3/W64DkKNgxtz5MthnJzId489j9d3KwezQPi826phfcJVGrpRZinUXus6V0V7ruvbuisizJGbV5ARUVPT6ylefAAA8TUZ7NrN9bJ9n5sdMs1FTvkphrRTB2HPNjGG1xzpxNQZq0Yw7t0gbHzsmSO3f3TMG98/+snFUi8rO+Tt/8C/bNqnWKEVJ1f1y1jOzLFwpq19ZLo5JkmDMevyYWYYcDROutrNE2TvPKZfychfMKewwIhN8lEk4wV5yjkks7RGPISZ0szxaYTonw5vOf0Wl2juvDev7Fccklb6tLeMJ7ILa8Qd2LaQDMI6VKRIxUZ879d+3VeeuS+RUzSsOhTJs8XiYVUKaGmqdsZcylhMczxf1M5591pCmZ56l18KOavQ2NiEIGV+TJPZMUOxz+X5gZdveJlLy/LOma7/PTHFGZEHn6dWvNq+O56j09xy1Cu6iu6PmgdIfZX8JM+s2jd0joOWHJlRnlGqhSr/R0sb2HNGbQ2bM25fscxdH5GDMDEGI6F2y4nw44n6WfJV+xvWjm6h27SRvEa1rek5+8rc4xxq8Mt4joloVnzMJNSbG8uCgHsSczohSVMyIClTsuGiiumPAU91V11fozipXli3pTHAfRK84B4+kcrhv12ykrJ73V8r2jUaIAm/qURujJQdHKqYrakfUfD5usmtFyOMBORkrdYjYkFz/I+05SPp8kOMuyUlSVs2hro4Gjz1hRr9Xb9jcmkzkoUP0Vh1Hafhsa0+RRBTHQgCDgIG+JoH4VOvRV0Y8LbquuBf82EuKATkYYoghhhhiiCGCGJCDY9H6Ck+rT9UWVbdCJAc4chPGtmqbtAlIXEZZunQhX5mF8335MVS5WPjgvsSyJ89Bpmxqohdj2AW+2OfK2mRUd3WqpmAdkm0HR/vs3/2qsbGfftKyUfkybF/k8bL5XuxiMaIzjrmmGt3qiO5jS2YCtMRoGqCWYiOz6KiDHew7PLAR+9kXVJ/8+V8zoUsxu9/5A+bqON+1TEG+DzFrh9J5UM2tlt/5Gl1ZTPVRZgiAUBfV1lWfr5gZzclB0BK/ZF+3FOIysYpVN2e2R9sDXSJk7A7JyxJHB8qAycVgfbomgqBuFHVhTNi/HzPb2mDPuZQka2ptTKktn7MOLD0FXboRlQSL5dK7M8S9WNGVM5vJwY4KeVTArEmQEY9GXR7qywZ5Eee2LKu/TLb7lNnuwXXrmxevYuviDiap/DjkNWGbUs19RP7OhDVmIQdj1tZjdnVs0HVQTpG3nqKGQCNFyfM8ft5nmg7KsEaTTl2TqE6asvuIqoS3rtv9cdeVKwCA7dyO86nnjIOwEPOdp2ODXRpKsNuewmTR8nyzsyIbpziaGwLQ8DNb6kZhtq25pexcHgIxj0M+DQX1UeQUOSPPY0KUQoiEJmeUrN2PzqGya6N7UcCpe4kwc5YWiZxmN4ioJVtEyshNqVbkPZDbURFJSWLxj/hcaWL3jBFiSioNFtwWjshNoWaGujyODtkhQkSgpO7BWJo0uhl5z5Z8XtQce06h3psH1GU53MUffsykdqRXItfFSKgct5hEUp5V+CTDevS7GaRvIF5Z7X8q9I8ObThN3+C0qOv61O6JlxoDcjDEEEMMMcQQQwQxIAdBtGhRoWbWntGTQMznRH3fXNWX8kNYCQ0oXQnRV/6unsWfuc04obJbE/obJEw7FgdSPrP3ZzvSTOdYRlrNkr1fyEEvRUT0IWGmfLTP2ifr+weH9BnnYvT8RVuFT8g5qLm6JpUACdn+EmGbS9nsJvuhybPYYD2ziYGasomN1zHJf1DWqeyDPyf8/VFhmcD/+bP/R3D+3vkOchBkgMfUYkl/A620x9T/jzi1k2SChKx86dNLyW2+kMskHR43Wbcls3u+UAbEbGOD52eh660MgApw1AnIud2R6x9UmJON3UzseK8wswW5E+KmtBUZy6H5JsbkBai3fnFo+0iJDMi9UnXPUSwPBns/aXKMIHU5ZVG205sHuzwPVKnLpJMhjgEd/1h7Lub03ohs35fPW2adqL6by9fBatCqhyZRjBlRGqVN6qWPyFwXEgTxOpj5FVIeJYo15dzeog5GdMHO6yHdTFfP2Bju/WbrboiJ4iyZ7UdZhIhoXkK9/SU9SRL5VzDr3mOP/aVL1q3wute8DgDwxFPmF/LIF43VfvcVQzHOn7drO5Ft68z2XRIlUoI5HY+xJDfmkIqIE86ZzZk6POxaSKuE08Q1CcQrWrLLIyHSJNZ/Qb7EeErdFSJS8ouJEDuakrJzYjwRYmgvywXVFYX20WukIqJwQFRsSt7ANrU5pCkgJ8RWnVjyqODPRVkiY56qOSUuSsIOouURO4qI4k04J6ec/0JCioU8anh/8FmYs+spJmpT8kwuqNHx+NOGpn7wwx/AHz/0STt8QkKjsXQa1MUmVMeOQ8hLTwjR57ZCz1u9L08WOW3WjnJ0Ie6J9D7O0qfhxWJADoYYYoghhhhiiCAG5KAXbVt7P38bSUtAnQWhYuJK/fJ0WJxMxyhrcQhYb8ttlZgpg06tpigW/oo6CGKMbzAjypnFtDJd8ExYGRfHyFTCOyuqidfGbl6zFftSrHtuSvXocxcsOxmzx7dhTbSqlQmTOc2MIV/wuA+5z8aOxRUFVZNPEzCJQCXNBdY8KydLuDA5j8M+J4RhyZ38zM//IwBAQab3O95uSopCTjLu6HDfPr+zYdlvy2tSNxFSus01XPHHKbOT2I7r6g3rHb9QGev8LjrWSb1Qdd0tui7WrG+KgzKT29yMOgFEGqS4mC8rtOyq2L9l6M0osc9cpNKd9BsaV7xj5iz2Oq/3iOcnZ3Z+SM+BmNoVfktLN4HbKRcl4lK937wWyoyYrS7IgN/ctnM47dWrR426eKiIyT74kkqQN3etP7zlNVedfHHTsuKrZYvz1KU/f+UytxVK2cmnImVmKOgkYlYrzkVLdEbqhJ7tU+1PWhXPPGUdFRcuW1avDLqoatT0EBD6Fo3D+r74HLtz4x7s3rTXnXN2fu69YqjEzT3jOdy4SdSC3JO77jJEZUbFzLIQP4ZoyThCw7r8tUPbxj73IXdFKYQmVB8suI1cff5TIS7MatW3T07G0cE+zxu7ZaTQ2di1raMWFcj4118DPkqk1pjwmi25b/+Yrq8UQ6VzQbRjOpUGg+1ryWsmDRLxjZokRSl9GHUhyQGWfIa59A0O7ZmWbWgMHIz8QTIhqVI/tfcLohjqCIin9rlru3bv/8vffBcA4LGnHkFNL4WGfweW5Fhl5OqA94t8X6QtIu5J3xhR3KRafCtZ6UKIgZAEnBpCDFxjoaet0JyhG6Pv88y3OMQQQwwxxBBD/ImOATnox9qCzNW2MmWhWgGyt5yrXfXHT5Kx10i1ylQCCGWyzPSlDZAznd9gfVK18hFX29FUfAf2ZzfSRidrn/uRv33cjjA/sG3v7alX2PY54bbOnbd97ezY8ruppWOvTgkeZ0nvc2ZrqvfXpe1rTJW+mkXEsmTvdbVC6nR5ruSrjolrB6ZVNLUFWOcsyWze3CBbnVnbz//SzwEAnr9qmeBbv+d7AAB33WNZ/s5ly/pHzIiOjuyYZtMtHBI52dyy4xW/ISU7/5Aqcnu7dATkOf2Ob/t2AMC1W/b+tZuW9Z+7YNoDeUczBgBMyVmIef4y1n9HVYqiodsiOwO2mPFN07D2fsjsKuVEmdXMoOW0Sc2FBRGYWwd2ftisggn73MEukURdMnmNeqVzbdsoWKfePGfjrplBLsjcRj0LtwldS+5iwSxe/iDSmNizbHWbtfeEyNv+jZso5SJHpGxzx66zNPTFB8m4zzG7GxreayMeaHFAlIrp7kS+GERopM737POmTXCNDpkXLxtiMdqYep17yTkXpVIftePLeN+PiWLss7e+ZoZ88RIdMu82dUbQUfGQDPrHn7C5eonnYWuTyoHK3tMYO+w+WB4s+V1DHw732dXBOTaR6iDH5DonzL5HnIor8kEm5GxcoD6COggKop1S9yybBjH9JkZE4SLqooxi8nekNsjUVqjVmMcjhGV1aMdwc8/mpDorhEyJh1W5lgP5MeOxZ/5CDsRbEWdmnIq3way+0POPiBJ9ZFK53/L5Mp/b+Yy5fSkrPvxZ80149+/9FgDgqWdMq2O2sYm8seMo+Vx0tUkpSAoh4T3nLq08HqET6j6o3eVX/DP7njg96t7AWodCcwL/YD2kOXJWnQknxYAcDDHEEEMMMcQQQQzIQT+axOs5HVJgK0hp70ulDWTpl4dkw2/tYJzZZ+e5ZV9RHPbZOnTAFV/mLoSsb1VkLZMHMKP7WE0+QEum+YjrOk9eyZRfrGLs7pE7wBoWy3bY3KQb2qac22xfFY8LDV3keFwk/GK1tJ+LQj23ZM6rsV8CayKYl7XvO2Vmp1rgsu6tiJnhSdc/iUNW+ZjIw7K1rO1f/NY/AwC8577fBgC88l5T5XvVK78JAPCW178FAPDnv/8dNuZl6RwDMdZ9sU2Fx1Fk2dViZefj1g16yTdWQxcyVFHXoZhQKZN94SVPQM6MOyK6E7PrYTIZeQ15skUVQrGw2X0g7fuEtdCjm3a8iOjnwCwFzKizxrK6JbUE8DxV6cbsZlDWQvb3xrnL3lWzRfa1+toLohWTbXYzkHOyR838C+cv2j55HpuWGWYsHwM6ITKrVy0/Z7fLhO6Ho7jCisz2px99AgBw5Z57AQCXyPSfxEJ1iGoxIyyZfSm7laDDigiRuD7qNNlgRn3PJav739q1bPbqk+blsX3+EqabUt3jvtg5JBa6HD7VU78gY15M+Ju37AObzM7PUxlSinrXqd74LBVIpXJ4jpyONGkwpn7FubEhYPWCCquHvEeJmDQVu5WoiBpJ1VO6J1TEzLaJhpH4MKMxynTDUI52zqxY3Q95AdRyBg07rSr1+afSCSGHRg6IvO+nPIaIKo05VQeX3EdLLoc8OtRR4yjBKEbD550QpIrIQUuuhLp1kkg8KHBbyrbJMeD8kV9IQ82WBTttptQZKUubh088YQhCMuM5SFuQiuT7TKtQQbUlglA0UkwkJ60J0dCTug+Adb8Ecl0SoWaMeo18IM0adrHJh0FbVnavv1nGWYrWt/ayY0AOhhhiiCGGGGKIIAbkoBdxFPmiS8p4Y2bvsdp/WWOq2Ix+pPrnJMdkh4gA65SJXMGIGCijVnOBWKixqK5kym7uyI1MbF05BortT05DIfU16vtXJVqpJqorgV4JWzvsiWfmWFdhbUyKZqsFs7KFmL8cI7UZpKNQllbfrKnbPmERLo4yV89TL7TG1F/QypUvEdtaJ5kZo3QRpJ1OMj/2jyyznj9iWdxDn3vYXh/8FADgW//stwEAXnH3a1HMdW6ohKeaL2t9WSLtf9Z5Ce5cpaOheB0jejTMqTEwJXdBl65mHbdg1pPS7S5NIiypuqjrJ38HZd9S4bty0TLonOqF+2T6Jwnrv+z/3uDPkylrs+xqGTHrWci7gYpylzbvxZz16BV5LhcvWL2/IOfiiDXjGTNqOf3tsQd/c2aZr3wfotJO5FHFzoGJfW+bc/YmdTXkDjraGHknw2LP6vLXxc8gQrJ1foPnjgqSyrKkeCfvial9XmjQwXXbl+ab+t+3hA5wzt6k0ub8aI4VEY4ReSCqX4+ZIce0Ai0jMeiJahCVEOfoFmvsM3az6HNXyG+4ecPGJmdFkYBaAJv0c0hbclDGlukXnCfi/xTsGKgIx8h9URwMZf0xb/qcKoc1VUC3NuzzM2pZJDyf03Hl973cVqdT3eeh05+UElUPr1j3X1GbQ9wMIS3q2BJvQrwHPQQaPhOW+QIZ9zmWboeeMbyXpCwbt9J9oDqlnB7HypzZAcCxqXMLPF85nwFPPm0aFUKBGrqa1gBiIid6ZElLQs+qqscVkBdP0+MaiLtymjaBOAhyVg3cHXtpu9CW7vHZrP0f3YPxDGNYHPTCCB7Cye2lIUykNinJZrZsQ1wSwquu38Qm28XuksgNr7taE/WQKmhv3PIBJEh+k7LB2VR/JLkZwuuRCGpufsRJzVnTYIHtbcHG9gDd2NS4OaEI4ZcS3CkIZc7Zwrgi+ZHEJMHvmuPap3YaaZBr3YmV3ygUEHKoLGxhVIhApgVLt3iSdLWEdGRNK/Mj+/0WWwIPaIrz5NNPAAD+zLd8G4qlQYgysYn4cGtIEiy4yFFrlkobKif5zS9hIpGjlmxZJMFvY0xyGW2V21JCVSPcumljkPjMzg7JWvxDs5wTiicEm1CsZrW0P8wid/kiM7J9bNA2vD4iBMyHbMJVqGDnzY0ZIkpO7+7aH6s5H9YbM1lMm9nREUVrNjbtD0nJhcwR2yZrEtjGLirFE8Njm/BabPOP6s09W2SdH593YllBda/5LftjfTU26+W8oASzFsfnZO4T2gqDD/CMAkOblf1hliHRARdjOxS4mp6zP8Lb/N6qqFFyQaqFW0RhnIx/QDfZAgte3xVfRdDTfNplu2DcI94Jjr9AAqsWB2rly7IMh0c2Xq6F0UAywrQ6jyVJzD/ybKM8YilI0P1sSkKzSgMkpOrYYpKLo5mdv9RJcI235KrlWcI7IqLqOHRcer+qBbOrJS9sYdX50Z+w0s3SwlLjKs/RkChZsQwrATotzNEj9dVcDLeSIuY8n3BhsuJiImfps+W+ah73l77yuB0zn+0bIrT1v9QkAAAgAElEQVSu/YGue/bvitSF7HpOSgwdd3f83F5P/EjbrXvExZfCMQwbgXXtBvnkIYYYYoghhhjiaxADctCLtqmBSCC2rccWlNHVilfCI76eJKmsriqslsKY1ZoTEmiyRKItzL4opzvZsG1Pt0RuUfsMM0Vm1CLaSH42ZVYv8lQ6yTEmnD1ycyLBe+C2JHLE8gFlkV3cyAV4QuMltaHFkcoWzpax30tlqe1KD25P6ovZHmKglhzuo7M3leAO+HO4RtZ2G6U9PAEJT/R7P3gfAODNb3o7RhSSaXJl5ZIHVqZHRIESrCLeaaUvFERCIzuUaJYQzYptaGlm2WldiFRlr7PpFDubNAjaNwi64fUueNwFDbiuFpaFjmLBrBx7LbRH7k5lcNwlYeSK8LSy96XEY9oaMUsSky0b5wGh/btmNrYtIgX7lN6dkHg5Y1tpTuGuA8oib5KItsnv1ZxvKnFNuZ/JilK+eYEZywFTnnPJZx/ti8Brx7NYsGWRqNzORVpUk3CYs5wmA6cJr7Fa3Uq2eq4491NmcSO2sxZHeUd+JOKxPNzneaFwUMr73stPunf5HOB9VvDaHDKLl6W3yhMSOKvYbyhC33g8wZTnY0UDpsgJvEQfuI2WtStJfp8/ZyTRI7Y+zm8ZspCnIuTxlY/4I15rkU9lYDQej7xcJsGyFR8IBcuqM0o5q8XXjd0kxObtg/Z+v4VP6JibCfUQhkk2coGoMhfp235WS7iQjiiSgJIs6mUOxhbNWPcBy1elpODtmJ7fN5LoUlk7nzM17+W2SToIn3NTqKfKCkIMJEjkkvAuccxnMhEmbcctm+MQ/XJ2oZ4zaE61f1Y4UqBq7QspKL3MGJCDIYYYYoghhhgiiAE56EcUeZrvKpdcpuVc1UpERwItMYkFZb1wIx0uujFhe8+Kq2yJl2j1Od0SGUr1pzzcqUv+psH7ysR9FcusdrwBZBOu0Jlltr7ypYESeUGLOQ1nltxYrhW+9pUE+0q9HheSDQuSf1qiJGmUIkn61TBlDeGKWItn5zFoSib8mYiBhEiEUshOOmOrlrKViFnapx76LADgsa8+g2//lu8C0LUWZdopyWyxY0CquaqlizV1r2vyuEVk4/U/YJ1bEr8xhYdKogFRk2A2tpr4LoWiolqWsrbnmHPq8JBkQQpUjTh/Cmab4jvorLocNY9/TgLabGr7S2mBW7Q1El7PMXkJS3ILVqw1i7xXsC22IBK0Q9JcwvMl22wJ6ly6ZFn9Qq2sTDlWbB8bs7WvWC5dYlfZuJPTOMkqkdZ4rvdZOy7ZhrlzkcJKzM41/xtm2tMtISac25w3YxLSYhLxiqb29uELJBKq/fFwX5LDdvyVUBqZWk1ku03SIzkKy9rEslRbn01k5EUEgWS7myRPzudzXL5sCEBEQS5lqZrfIvGJeFhzTEfkKojPUKU2hgO2066ONJf5LJPYGLN1mSEVeY4xjafEKXAbdckdc5JukMOk2Sd0opSGO89P11YX2tGLRySpZCENo3Tk8yFNhWrSQInPsJFQC0lPxyJoklAo9GaPSIquARGnG88Yp+XnfvkXAACPP21mWeoNFLk0jduOS8DQ3Ewc1UwQhnJscrrIg4paSZ9rOxJBCp+Buqf1iK+bxp9VzrE5JXROhUw3ZyiKNCAHQwwxxBBDDDFEEANycCza4//kQnJO5q/WcmKcT8kUTsoIRWX11QXbG7fusaxkxZVwTma8so/YhWWYIZEx7QxZ2amyNibhEAllbLEemGUyjymcNezyz5HqcxQ3YWa4InJQFbZynXAsWoXWrUQ+eitp50EQMaiETHRcjbonkYreNroQo19tQaolsxVPQiGs06lroUIdfk7GK2y33Nu3a/Xlr3wJ3/0dbwYAlOSO1ORUiIMQtWRlcx+OiBAhmND0RsfdkP8xZuYkpvmSWcyILV0pb69iWboZTUpRopKGXFOx0lXP7Im8qDVNBlPK7pQhKEtzuepKQix2XiasLR9VuQuoaC5tzcglYItjywxf799SPZviPzO22alVbXnAzFKWzDxGMckbNyHrsh9lsEJdarLJR0IXaHKVz8k12LHMeMn7ZsX76vwVy7jHNIdKJ+w0iWTAxPPK87nk/ddyTrdRi4zXYrWSDbD9vEPRp3zE7JpCPKrBlx15x155o23QYEk8AGX9avHTc2J72763t7fnfBbJSavFdTLTvCAfgmMQR+GQ10R20hfHliFv8tqofU7PlaZRBw7Foni+66bGiu2C4uCIWyCkQEiI2gTFFehe2epY6bmj7gZl5aHpkx6smhdtkrrxWO3dGkR4CHPKqlxcLGXpRbPicdIcivNpb2nX7vMPPgIA+OinPgEAeOwJQwwqEAVWtk7OQRRlDn3FjhT0kQS1p+teCzuxUqJU4iSojdsRhyjcjp6QiTozqu6e0l/otg4RAT1W+0/VOIqOWUe/3BiQgyGGGGKIIYYYIogBOejHiSUbrc/UO6wshLwBMsPH4wwT2Gp7fsQV73Ir+K6YzNJMUK9v6SrLyfoLCtZ3l7QBZiKETWYWFyhkAyIORyt4Xb4ttUK3n8slxUgOKdazUK2R+sqsz2qBm+p7EvcRUsDtO4tfnRipi3miRa9WpqaCuL/WdXkjDppIicuE2nGzVIxM7dls2piMxepmrZIZZsqxPfzlj+NHqx8BAIyYdUXMhDRGMcMznodSKI5skqk/XbXsh+d1F+k448VKyaRXDVFnY3E0x1QID7Mzyf6OU557US2YbeXMUishRerO0DnnaVRnhWR1xZ+Qte9ki7XsvMYGuQYyrZFQTMrMSPtKiFKod/5ANrnUmBD7fgWa+XBuxtQBKCtJvfJiMT1rk9q7CZRFZ8xgc2aX4u80mrtHPA52I6wW9rlrRyaDrAz7wiuMi5BuqEMgzJSFYKkrpCpKbGxQFtkRQQoD8fhLZbhi4UsjQQz5SmpavP49lEfIyf7BAT8v2+1OLEjPkFgiV0TOjmhqtbVJoSqiWEJeZszqpT2xT6qSeA0bM10LdT3xPHKO6jHXNLXrO6imrvtBXAPXFmhCZKDi8SmzdsEzfi/yDgPbV8dFsJ/VaVBVJSacU7kklyGk0D5bkvchjo3fuzSTkzW19Cw+/9AnAQC/9f73AACevvpscAwjyZELgdTjp27QOlIQikApOsRAXWB6jqbB+VA4L8DBYJ19IgziKkg3JorX+AdEZXweaxASRToNkb3zGJCDIYYYYoghhhgiiAE5uK2QEmBokLGSeYmsOosMMQvQWtnu37KsYcIEn0RWZ0ArU9JLU6vvltvUKrsKK0mZDErU315SmrXtTDeUlbSNPmsfyVfKFCzrkpFSQSZ949oMqr2L8dzTKPCsX4WxtbVmE3IJuuhDM6rT6QSEWf0OlfLufiUVJ1Nm0lTpk1FLHIeaBCgtc7o1fxxXd63u+Jq7zYJ5dYtohDo9pBnBjEhqfMoUVfcXO10ZoDPvCWsoc3TlOM2LtkXCurbU1cRGVqY0Ja+hlLJhoYyGWZiXNZXG2kvtx6uLy30nYkzzdMWxZ7KJJhURIe/C4HGl7LqYUMdglVAzgDV0detMWd+W7XhGpc20V2uN3PK89A4H6RuMyIlY0OZ4HCvzt+8s9mhBTMVIGY6p1q7jvkVlydkFyiVT8lzKohOiJpB5WtY4gtKZGDXB+Wk4N0ulujountQmDi3OlRkKWWkiIQz2ekDTKVkYx3HqiqC1NBeolSFlw5xqplKrXBwZn0GWxFNqrohPE3Es0keQFXIifkVB5IGdKW3dIF/u8lxpnnPeu4UwkbRel0Hr0uahIqCuu+4TbUfdDY5kUkG0rmtU1BgRWifQSfdSHQlJsNdD6nfMKaP+6GOfBwB8/pFHAQAPftEMlZ6+buqcVR+RJEqmn7ORTNm652y/s6pDPvS+EIOQa+Dyywjnhe555wv5hrk/nuckSV2LRfym2LVm9Hzkvtd4XoB4Dt3fgDuJATkYYoghhhhiiCGCGJCDXkRry6U2XCB6364vyrS8ZZa3rGukVD7Ugu7qVctw7k6sa2G6yQyRbNqatWHZ5BbskZeKGsjCnYxkbsJxJpaJHpH/oM8hSpGThV96C7wKbNRUkKGMr+BpCsTVtLoZesJf3XF7Nip0QHWvrq+5oxb0uxX6XFqtfFl/5Ovmpr1/8Qo1JabG4q4j2Wf3eoglCzGiAREzgb3Dr+LBL30EAHD3PWaEU0/UlUHzHq7KV0dU9hvT/EfaDAQrZN3qdIpSmaYOhat8IhGyuK2qEgUNc3SqUhY9S9ba05XtM4tk/kQ9DG66ITIyoeZAzosrLQF1J8xYLxazXMpzcQMUcxvDeXYjjLaN4X6L2ZX07eMNZszKZHgupV6nDHJD9toykyKjfComfBUiWKNsioJ+JAv24W9vWQY7kV8Jj6PiPsR03z9QlsbsnbXnETtN1DlxwBr8xrZxFM5dMMRJyopjaVuMI+SLPNimFDGl7+DKmVTrE8KSimMg23Sx0YVE8f1Vqeze5lnFrF2IYxqnjlq0TYhmzcTfoK7BiPyI7Sk7Iub0C+HxVCMJn3DOCjKS7ckaggTATbgmkymmNJ4Sech1HQgRZORHSXVSXUzSYnAFQFdD5dyTpoueE4QMOncV8iHKwrubhBTo2bIobJxSFWwyKmrScvk33/evAAAff+B+AMBK851o3oQW6CU5F91jSWhhiAY3iDrDJL4nxLjzfSEaQwRI6J4jBT2+VdPXgeAgvIsnStd/jRY1mkg8KGlJEFGRsqN0EITOQd06OLMYkIMhhhhiiCGGGCKIATnoRRRH6Nti9RmiHo14AbI8BVpyDtI2XJGqP3tCpjIqKaCRXc9stdElYT1OVgoqmW5MxYhl9s8eZS1C28hFGlEz0424TfUxj8b2YbnE5YVsoHuhrKO3GpUrpffWM1zTIGnRrdFP7lroIlwBj6b28+W7LLu9dIV17cpq0m2tfmftlJkSVDfmbuhdHI9jfOCPfhsAcMge+u99818BAFzcfrV9trKTPKNWPvhakScgZMHZ+ryGNbNa1UlTyKKZnSku/9igJHKgjH5jKn0L2mLv0S6ZqnqVvCV4fCv2b0fMZjP1YCuDoKZ8yrqulOPiXP3xEyx5/K1r3o+DfVTsOhDRJZG+v7Txxa52Hgxr9pzlOV0upe/gtw2nwMZ4inEaci2STSJisuhlBp3X6lKhW2VNvwfeENK9kFLgaLLDndn2Dq5xvhBY296h3TRRjY3R1LXs57zOmujiXiQ9foe6L3T8LTsf5DEia2rv0hAdpJAyp7w8BHcBcavMlmNgB4Q6XxLeMHP6WUjXZDYmN4EqhpSN6DRJHOXjfUU+QMWafcm5EI9SR06E2snfonVdA9uUPFukJiir8kYeBAjH0EaqoQvNCuvloGtnXhSoubGY53IlRUd6kGyeM5TrU599AADw/g+8DwDwkQf+yD4POw/b5wxZ0TkHUaA0DSFGucBKyDUXqhHHXu9XVK7rQtdO3g+JK6cS7eL90em+dBgJ3wjOl6fmQk0IMNRRp/eiZ+xIXUn8Us77WkiLJmW7xjm70xiQgyGGGGKIIYYYIogzQQ6iKPoJAD8I4A0AXg9gC8A/a9v2b53w2V8E8B+/yCbva9v2L6195z8B8Asv8Pm/07btz7zEYZ8SL2HVpRVg1GUKXp+eqAuBGu/kEEyXBgFkzMrk3JaNpHBH5jfZ12PW+6Zi5fvqVF7qUqVjRtBWrq6nWpaU/CpJxOvX/UYC/4WOjz96kUzfCx0Um57febwGDwhN6PcKK5S1iKk74Vg3N3a4bR5XLla3U6X5PTKEub0Rz9Nybudxc7qJFbPoD9//AQDA4sB+90Pv+FEAwMXtuwAA4+17AXSZUe58D7tmiVzXOIaKx6lMUVyOriZJ9CdKsMzl8EYtAXlrEEHIb4k7Yi9j9rGrtijdgkpqdsziMjnDiWGfipVNdTpmxbPtLRQxVTo5F4VCeCZHJExs7KiRQhyzLDL/mxV1Evi5khNLff+V9BOUadvWEUeRdyEUS+0r9BLQz2kTni+d8zE1J6bsb1+SpV/yOEfk9BQ8T/u3zAVzRfa/eti3d7axs2PZ6ITbzNm9UXMuFtJ96OlWyL1QvJBa3T1CWtxZkbySIqy9Z6O1rpdIve7qtmG2LR8QZvzKFOfM+KVzILdJ6aLo/DXHFPXaYHtZpmNtMYpDTonuZul1qDaexuqACBUSS6kXigckNn4Uzh89C6XhoXs7zmKshEbwfm6oYHjf++ye1a4/eP8fAAAe/NynAXTukimfn+KLVL1OiUawTu8xJBXDkToN0gTHHoDdGeHh67g0v5PwY064CtHjLkIvBteFiI7n6n0fBl0/XRM9H74WcVZlhZ+GLQqOADwN4Nte4LPvBvDEKb/72wBeC+D3Tvn9bwL4zAnv//FtjXKIIYYYYoghhnjROKvFwX8LWxQ8CkMQPnjaB9u2fTdsgRBEFEXnAPz3AAoAv3jK19/dtu1pv/vaRxT+I3ZnOWWvUecup5Wq6xlEa58ENshgnpB9vLt7075XWmawsSG2KrMNZiMFNQpKtRq0YnlrlVo7yzqOU3/PxqRsxLY9of58vpL6FrcphUT+Q6tVsfBFvVDtWpmms5KjyFe83e8QRB9JEItaff6LhRwwlZ2IW2ChU985qIV9/aIPLJdLTKlCmY7tfHzm81anvHK3Mdm/89vNe2Gys82x8ragu2XrvuzkNRBRiEdCcaQoJza2UA2t7kv3NWg5FnnaqwZexkQriBCMSDJR3Vf1S2edM8vI5N6nermuMbPh5YqudWXjc6jh3Cka9fmTx8LrW1IrQYhQ3cs6lZ2Knq6sVUiBul6kl6Brm69ynw96r/Ca8HrmBq+9qytF+hBS6RxTEVKIg1jqSU6uhuq46i3X2Dj23fyGn4eNbbvuY8nm8XiPyIsYUXXR56y2yXKvOCcupchZmpLTUblmSRMcO9B4t4Lu87boIUyONghZqYPz4JoC0gdwtEbbqYPtiasymqyhF0SIpN7p+gRC9YTmuGwfgvf92cZtaw4nmZ4/4jLoHta8kq5GhmjTPjtnF8YDn7F875+/61cAALsHN3nOyJchJ8NvLKkLpmpbQnAs3cM7vI/c/Dbgm/SQ0EiOkdym1AkjadqEiGEfnuj0cU5GpaNIvjLH0dWmbY69Z5/ld+Rn0pw9knAmi4O2bX0xcBp8fBvxtwFMAfxq27Y3zmJcQwwxxBBDDDHES49vpG6F/4yv/+8LfOYNURT9XQATAM8A+GDbtk+f9UBOs8RWLfE4jzNe+1fofFjJVTFVFi72KfUMCurTk81O4TJMmeWqdlaXXIUrO6nUY8wxN8yYksRrgYpKjmOuwqZug17fcdiuiyYJ+7cn9AFQ4lgWIjGEioBt2x5TF+v/7OqEPUb44si2dfOGsc2zidWFYyrklY1qpWQzc3ueKSkz5fbrpkbJDgexjNU7/+mHrTd6Qk2FSXYJAHD53D22bWZS+YI8kJExxBteW2VGVaWuBo5FoFEtZcmqY/zXQl9CNrKuibIur+PXQg6YfSqr4+eUIes8+iUU4qBr0jSeZUgzwbkFUoJkV4ZY2Q0zyoSIgXQfCo5FdV5tT6lVIwVJ1c3JfVmtFj4e1aGlwzCmhGhT6vjFwraXbBzWWnV+OtY5szOdH/EnOEdLbmhKvQAAmO/ZHNul2mLOG+DCeUOUpu6MSGRNg5G5nvwwdC+LByRgJVX9XPdF6N7XxlEnKhqF2afQF2WO3fND2T0Z9FLMU5eUb4cIguaiO40KqeHg4847JYuFgIV8ELkydlm4ha6F32tycdX8itSJxDHUQnHs99Ki+KM//gQ+9PGPAgBu7prmxkOftepxLRKXzrkQFu9uUCcEuxzYcaO5J96D87CkB8DXKlbG3XE+9PjUOXI0SwCRNFkqoTNEhNSVoT15dwJ6oSdu0vv59OjOtfwqonCfa3+0jvnavMz4hlgcRFH0fQC+C8CX11GIE+K/6f1cR1H0cwD+btu2q9vc1wOn/OqFeBJDDDHEEEMM8acmviEWBwD+c77+7Cm/fxzAfw3gvTBuww6APw/gfwPwXwDYBvAfndVg2t4/tEoTm1SZueva+6ot8kWgar8qjZ3bNo7BdCrnP1vh7u1ZLW22ZTXArR2qqy2lRsdVOFfKVamVogZJBm2m1WfZeX3zrdgzWa6OmTlr5euMXgl5MaQRLtayMsxxT9/A611ibZ9QJ3Nvc2c0c0Xfg2nE/D2izdzu2GqQd91jkIpqikVpfd9LcjA4REQam3dJAAV75rGy72xSp/75m18FAPzO+95l4/9Byyq/501/AQAwiS2DTDIqKTK7j7uCpv1MhEHlTv1eteYIsZ/DqlQmaNc7IZoj/4Yk1XUmt4Rjr4SYSJPCveCJlLBuGXM/qoP7+03kma84BgK81GwyJldFc0udDhuZlALVvx5yDYQktY6ShQhCQlnPCEApjoGy1F7vt9j3Xr/VS6z5ExaLldW17KBolQVH6t0P+9mbQgqmXRd6TQ2JZWH8jPs+Y45+ytJ/4AdtPmxTUbLJQ6RMvI86D+d/2aizJORX5K5+2WWMncY/zx2vb+OsdB61zpec/NrwNfIuBzsvo7FQG+pk9HwvWtTuc9HIE4Rj0hzUvo7oZ6B5oK6LphVfhpoL4qaoeyfVmHnvyi+B+33wC5/Bb7/n3cG2xbXQccnF1p9pRBCc/8LQcTXO1QnRkCgKfTOkI5GkOi9d+HyXt0QtLk7vQQll8/32L+kg9KEDaS3wxzh8fz3iEzoYgi15R0j33ZNZCi89vu6LgyiKdgD8TbwAEbFt2w8B+NDaWwsAvxFF0ccAPAjgP4yi6O+1bfvgi+2vbds3nzKOBwC86aWNfoghhhhiiCH+zYuv++IAwN8CsIGXQURs2/apKIp+F8BPAvgB2ELhzqI91pSwhhiEdfJUzojU3G7qStbuvsI9T3/xe+6xenaSSUPcVqMXzlndbXPbEIWjhWW3K3EWpGPAVanK/FJEZLKHNFFmWviKVEpsqi2Xno2q95dIArMNZeWqY83ouuf9t1oBZ8EZc1b7SYiB4rTfdWzcsEYqr4Dr1yxbUXfCpXvsfG5sEL05MuRFm6mY1ek6TKapq4gJQThc0AGQroNHK/v5/o+b9/uFC6axcHnrtQCA89NX2j4TQxyShteC9c22UtYvnXxmjswU4yx1DQBPOtT5kIfa6Ope6Or+Sss1x0IOQleTJueEGXbszm9edPbfaWILXdBcTMf0ABAbv1D9Hr4NYC1rE4IgR0zWpiebdo2Kyg8WgKn0LQ55PYl0ebcFOwM2ZkRpVEvmOfQOGW5RaFXSUch53sgPIRtfiIHcCiGN/qrt7uPMfifthI9+1PKQD3zwPgDAt7zudQCAH/vxHwcA/PBf/REAwHn6Nuzv2z1bi73ubHbxBMKxCGEDItSUcGwrdtSozi2/B2X1PF45RKqzQjohhTtJqjNCvI822J7CEQfA3SPbJqxrK3R9E9eWWPr4bSPkR3BerMiDEJ/E/WTISXj62jMAgF/+p78MAPjCFx5GLA6BnrniwQg5kM5L7ziU1VfHC/v2+546oXsQuFul9GjEUWq768d7qOBzM8/DyrXmrjvK9joi6vpkxMDHduyRePwYhBhrnO7H0N9yD5k9i/hGUEgUEfH/eZnfv87X2RmMZYghhhhiiCH+1MfXFTmIouhtMPGkL7dt+wcvczNv4+tXzmRQ6LJ+heo53qOtvm4Vurlaq9oKCergMxcvWp1S2aiUD7OR1dDnK2NKHxzaa9eWSw15MaFz+XnbrwvVc7WyZkaUxRkyDYve9TVf3TWOaXhGp8fJmK/0hlc9WMpxqj2u6ADJEqN3K2g125zW5rEWOpedI5m9ZFJjq8J6nLo1rhJBAJXdLl3Z5JiZ7aojQxLqjcZcgZYIrs4nLoU83lt+6blr5gX/+S8aZ/U7X0s1y3OGGEwqe00bblBqmNqBfBKYvarYmiZjT4k80XVdCn4VyqQ5NtWlme27RkGlDhPxXsI6cZNKv58nlqp3xarEmOeqY66Tr8F+fKFPuozS41dfvtAc3R8VM0HnILRhH793JDD7z5LUsy31mWuuHRXMRlNdf+7zWP+26ri8jxzF431CxURlc9KDUO2+9a6Odq0rx47jM581rsHHP/GHNu7KxvTFL34WAPDIP/gSAOA97zeNth/+kXcCAN74prcAAM5dNHQwm5KDEuuaEUHhPZqMuqxVPARdi9br/yGnpI8ggVykkdQbHcUkaiX1RvdHkGZBn8vQIua4RmNpioQeCMqkC87rmJ8T4pD6nCWfRKqOfD4c5OYf86VH7fz92m/8OgDgc1/4vH0vX4DUCL+O0tYYy1xGF+tY5kwkTaqk7mfCF+f9hFoM0i7Q86isw2MF1rQPeByagkIxdY413/s6BZF7L4TPxT7P6oWi7Y2rrzjbdYiFehdnEV9v5EBExBdqX0QURX/hhPeiKIr+BwDfB+AGgN8/++ENMcQQQwwxxJ++OCtvhR8H8OP88W6+fh99FADgRtu2P9X7zjaAfx9GRPylF9nFh6Mo+jKAT8L0DXYAvB3An4ORE3+ybduDOz0OAIjbpCuytl1eZz/21LaS4NdImqRTyePvtrcsW7t0nup7ia1Cd/eeBwAsDpgRk7ZdVMrSWMeVU1fT1cQAoObnO861mq6BpteX3UL+BfaRVS5tc/vOhP3cI2U6Oh5l2K7GqF7gKjhuZbGxmMBti+MqY6esQ9f68Nc22XUCczU+omeAujiOeN5m27Kj43ljXVBdAFVdOdIBZrqzTSIi4lpwH2Vl333+2lMAgDd+Z8vPqy5uteWksu+P4zHHJpRH2Y2NRQ6CcZx4PV5TpqRyoZbnIyEDugaxlAET34aNkQ5wlfQhhH7Yj6qfd86A9nOe55hSj1/sdI3Je+c5tk4rglmcrk0UZmFSpYud+R22PyQ95CCdJBhlcrSURgbnJqdUsZT3BI9bbHOxz8U6NtEAACAASURBVL0XP6zFJ2T5l3N+v4qD7YgvUZVS78tQchsregPc//EPAwD2Dlip7JWSVTN/4KGPAQA+/oDpZNz9ilcBAL7z218PAHj9G98AAHjj6+31ta95DQ+V+2PnQNs0rk44mxnC2DIzXuah14aOQ+dhQW6Srt2YfADxQDwzluOiI1Fh7bqoC9dG2N65YNvieXn2GeMG/PEDD3CMxh1405uMt/3+95sz4jNPW9fPpSsX7XvPPQcA2NoxdG++MgTmQx+x8/v8VXv2SbtiOpugJeogjoXUW1updPaeOf40EXdA80TQoegQcZilRz3emK5x7OqWkaOW6igSeilUN450X4Rojzqw+q6OtZ7HPdXYlxLd356To2lDZOEs4qzKCm/AcTOl1/I/APgqgJ/q/f4nYTyB2yEi/n0AbwXwQwAuwP7yPAng/wLwv7dte2YlhSGGGGKIIYb40x7RWa40/iSHWhmzKO3qc/LIhnqj+aLatfdz2/tlVXl2+sp7jMn81jf+WQDAiLXyA2qEH82tDjenHztJ9liRa6DsoqyEAkgJzD7X9T2TH0D9BMTLjmPg3RZhTXzJ7EyeClojZrV9bsTac8b+9KM9y1LEPfA0lVOnYu94JTWzqPHsU9GpS2qFaz8JGdBq3DO9SMdt54FSA9jc5rHQi2BK3fvJVH3QZNizDlqWOeYaN4c9manfn73g7Amvj9Qjb3yQH/y+vwoAeNsb/gqArmuhmttYtzcsU+IlR8rV/ZgZR8rznSFCzuxJnIO8tOtf09N+tmPzRf3XQnfSnvObfA8Kvo7JFxCJezQOFdQ0zxq02DlnvBfVSld0x1OGPyYCUsg1zzsC+HvOB+c5KBt3HwMiM+xy0TV2/4Q49TmUk78y4vhVz3YFvB5KJQXJ1vvfWSdXrz2Pf3/XXBgznbcmRFI0p5d1iZhZ9/2fM6+Nf/xP/hEAYG/XchUhQeKv6IaKfY6SIV4TYeOrHDG3d+x8v+pVNm++9Vu/FQAw5zU5PDzEgsz/H/p+4y/8W++0V3UjFIWQInlKyK+BCAOfH9koCX7f9LwWrl69CgB45JEvAwDuvfcVAEx3ZUxn0Mcee4THZS8PP2xci1//deMIqJPknrvNxfSJJwwxyOkHo/voaG5j2pDbZRU6kY4cUev4I1EcIo0i3de9jFkIpHc58aXjy4SeEsdDKGfIbYpcxbPrSBjJVZPbUrdCfIpFgPgSnWoh/34I7T2lq+skN0bF7XYfrHMNuL9Pnda2f7vx9eYcDDHEEEMMMcQQ32DxjaBz8A0UEZAk3iussq0U5VrvIVbKLOYokYS4xYSr53vvMX1+1dVu3TLEYLW0Vfacq2u1PMeJrbJdzO+I2T9rqV5D8353FcA0prD+BWDNdz3kJ3T67Ky158rSiSAwuxJLtyzVay4KMFf8cps7oT/Xlcyk4PUCKmC2byIKYh/rNRTK65jRzKQP52R788RN2N8+ZRacjiOMYSv+nAjH8ojXl2hOS9rCiOdJ2dhv/va/BAA8+EnLqN75jr8GAHjzd7/dtlcZzUXZ/ObIumnjkV3L1ZHtd5nX7qUht0Q5Io5U1/TuDdUtQ1a+spFUmTV1AiYTiU4oOwn1Edad4JSx6joKAYtOAQ+FoHk1tp8xeeeJdP5DlzplranrP7TH2NUap4AlIQLyANDQRsmY37Ofa6/f8nxwDm9mM+7Ltpvndr/VzEwLZZZJhGvPPwsA+I13/QsAwNXnrRa+wa6dppV/A5GlVr34UvFTwZp+KVn4OD3Ytw6kz90yJOJzn30IALBD98+yrHB4YKjcg5+0LP297/9dAMDb3vq99lk6Rl69Zpn/PXyuXGJnhGroO+yoSTlPnuOxiEn/nve+FwDw4Q+bhsPOlqEa586dwxa1Vh55xLoJVsyQ1VkiBDJf2fwRwqB7LU7lIGrX4PwOlSR59cbgs00ogM838aca98J4MQfD0+L0DDvMf48jBiE/IE1T79ZYLBcn70OaA0LW4nAbLzXOUpvgLGNYHKxH1KJNakSNygr2dqx2Iv9DFYpdiIgSRcDly3bTSVDl2nW7qavcJppajaKEBjCcGEdze7DuH/JBS4R+rMms1iyJfjjuxgeyCGqJjRhwvpib3fhfAf7C27x4o4wJo+mmXVFmOSFkWfOPoCC7tgontWRWe7cjz83JIFVH5tGDQg8QwcaESydcoIkLV+mPpv0scSj9Ucn5+8k4Q5bZuY4pTbzkAq2hPe6SiwZqG7lozTbJjk8/bw/D995nEq+XLxtx69Wv+JZgrAUXLHMpHMtetygxndnD3JmqMR+sfPKu+OBNaeksIp4kWzXjtHiS7krmxy8rb7ahSQRJf+DjqIM73bSIbYAaU+95rO+6LXAdEqv67VQuM47w/a4NL/J/Nw61qvVXRjlagGpxqPPBtjIdly5WSziZ8slaVCVcdJUkAMdjtUyu/MTdz5bFrzzxOICOBOelLxEreZLd2loiN5r+rYS3QtJwmirJ0B9ZLhDdtrt1Od+IpcsHH7R2yk9/5hMAOmhb50GlHZUZ1E5915XLAIAl/6Bdu3Gd2yUpVO21jP1D+/5ytY+vPs2yDxMZLTjrXulGfwM9N+I2XaCH2xZpVqFSmZMK1yyrASNhOpEyeXl/aP3vtj9mwvbCbhHQW5yKmOmtpG1ncy3CciTr8XBsL1QOOKu4nfbwr1UMZYUhhhhiiCGGGCKIATlYjyhClMWeETey5uSqVKQviZsotLibjlNcudsgNekjHVJaVdmlMjshByXbBG/cMAhyPicUJ1UQWftOTs6s2sgb0HgIY7Te9iNSl5um2s8u98wyw0gESzvA+cKy2LwHL/ZbOtWiI7Jc7Khz7G2Nx6DoU8oKXj6ItSeKO21YNqd2y4rCNG56w8xKqIVW+6uVbFVrjMfK5AijI7TNdiEV2LaVZeWEqqczIyg+t/sEAODdv/vPAQB/7jveCAD45ldaq9o33fud3JyEZ0h4nI1QcS41ubLwlvviuZSYFa2d4x5xSha9ymY7lEcy2yoBkVSpkoGT6OKOvNfLRjROh5p6ZQHNHy9VqCwh+1iXbObXHd0JkSaRxtbDCdGtIFqSOFOJFakkYR9rKu2EAlN8bUi6bdQSx2taOnpj7x/kVgp63/vvw3s+YK142cT2kTvJlyUbtu5JBjg5NpeFMCjT5Jzr2XFHhLtKohb1RC3CSxcqK4VS8LgletWy/JSlIiKyVVdOTbz/n3nOyIELomIOn0dhlu5WzZyPcZpiOtFcCo9LpE4RnOuqV/pTuYFz2EWfWl1vkahDGe2WgmWdlXWLVOJUXrrpSbYrlLy/5HZAtYbrfgnnpluEo5v3iZfFXpho+G8qqX9ADoYYYoghhhhiiCAG5GAtkiTCbGfkhjNFGdbBlTl0LX1cMXIFeeHiJWxu0gCJgjoS1onY1lazVppzH7du2Ur/4IAreWYZlTJCrmynJGQhVf2WtWTV6FX/rCI0IhFI31ciLswu1XqVMNsSMuCGQUQ3JMmqTDMlwiDxIBUZ456JSVMDbds3SFGtOXjbjWO6TEioDY1opAXtVrPcHq9FXitLZ92bmaeIe0kSIydXYrEgh0KZ7li14HDbnTywhGLsGm3tGHrx6JMPAwC++Ki9nj9nLY0/8pf/JgDgL77dWh8rkg+iNnE7YHFDun2KJGrXN4tp6V0pWxOqYSHjJVIW/JqtnRkeQ3jtABNCAtY4ALqMQp/qMBNya3KeP9eNcaJrSFj09kNlZT1OShIn/h1lYb4tbUX7VtbKbcjUyEWTal1TQ7km4s9orjPjXkVseaUgz/2/Z9LH7/qd3+hak5khqi1UJ0YZrpA18V2UfUrK2kWiml52rhY42URLFIptyuvH4fm9Lk0dcgrQM0fqu5/FdHUSsbN1gjKP0c2BJHks06DOtKgTmtIziJ/lRp2DFCfB52K3SRa6ieDnbg4KcRBapLm6diAciwu56RHreshicIekaCeRi6AqdLN22TE7pkroKa3Q6/B+iaLYj09zU7wPRzU0B2PdmyGi1NwmwbDPWVgnJt4u1+CktsjW2R93FgNyMMQQQwwxxBBDBDEgB2sRRcBoEgMTrhiVgXMVqqxeNrvzI1tJ72ybgM09917AfG5tSy4Pq2xK7Gu2LB7uWTZ69eo+P6aMMhyTmOTOkJYek1i9MqghypFm3coWEdNLzwzJd0DYzqONeqLnOkTK6pkpcIypkJNU2YqyP2WS7TG5z1MRg0TdDPzFiO+LEc0vShTIJXzTnuiJrIszCdMw241HLqAjtnTNjC9vugwO6EjUcW/JXFF/uawp7kIEoeQ8eOqqCXT+5u//BgBgOrMM9M3f/j0AgIP9JZKKAkKcFtOJ8Ricjd6yXltLBprzhkNMfGKE80BuMJK4VgbUye2uS36H3QORZ3hijYcXqc/alhZYloUGToquewEnvl/X9dp3lLGJuR+2B1asz/s2nTlu33ahJiENzPoPKS61auz7T9+ydsVnvmRSwB95wFr5ciwwzjSHVAtXZwd/7nEnqrqfEXKu9izd6ypEOZSliw+Su9BO5NwCcU9ko656fcUJ4DbsPD/qylH7pBs16Vr1roG2Ly6T0L5VvkKasRVRc4tzKc0kVa2j6a4jsN6twd+f1hOrroQ+1+UU/tF6SBQr6Z16cY2KWvcw0YsQzEUMIQhN8HpaZp7EiR+3zvXtIgGnRf+4navT6/YR4ruOBpwmuOQhsa81FMLQxTvnQQzIwRBDDDHEEEMMEcSAHKxH1AJR4bX2keqizMBV/9wgi1l2qd/0SjNe2dxIcX2X1rPKXNUjy/r+EevQN64LMZD/M+V/a2UVIfW7U8dkpsWfOrEc+7lqWxdxiWVWxHq3sgxnfnt9T6vqsDfYR9DLWmV24pQG7wPuuhrWyL82lrjXM+yIgVbPTXA86pxQFp8zU4qZQmRa3fcY8zXILFepMUZnBNTrU67LKtiG93RIkpXAS8Ye+Zr1a82D+dJ+3jlvIjJ7RI1+732mh7C9Ye9/y93fhgllscu5KPHUWKBIz3hqIjb5gjwHCWy10iZQfZPHKWjFs7eeuAvC1ziOXaSojxiII9AoY0xDcx63cGa3g7LavAg5DC4S5vLKqhPrGldeh9bIXEtBEsRUBVNXglCpyLet2jGZ/+I3EB3LWZt/3x99EADw+x8xs9bDwu63eW5dQbNzIyznZt41TjY5FgmO9aEPvogf4cmc2Pkca63OEF5rCnPpHtd5KXq1+/V/x1G/XqznB/coPoNoDJE0TcS5EQ+A77uOhM+E4HtpEqEqmuB3iXc0RMG2BSmqO8OTWgmxnSpZrM2JwxXqrEQx+j5tp4ZzdXraGtIFUaeE88J64XwafY/3UdN2z6W+SVw/83+pSEKH5oUowAvJKScvDqoEEa8ZSlXVcfTu5cSAHAwxxBBDDDHEEEEMyEE/ktaXTKpvu7VvpHqoZS8XzpsaYsRs9ejoAEqnXea1loyrZQu7tyjlm2ulzx5amfVEYt/b98UUTqiuJtvXylXnlFl1BUBX9mINS/3HlY+JDGk3QiEbV4xo2t22cZgJeKbQhoiD28rq11HUqcW5KrBU5kLFMucMMGNKvEshCc5D7H3aIeLQpfnKBPijepTj2HvenXvR9pblOteug6C6b5hZuyYB65zqwZ9sWw1+zH7xJ5+1nvN/8iu/BAB41aXX4PzEFBLf8f0/BAC4565X2z6oayADniqXpoDklVWTt/ddc6IJ+9i9rh+F/f0dhNB6xqPvqD7tGgo6H2Llax5JSVHcDW5nydq5zo+4KeJ0eK3a9we0Pm4EY+ksqIVa2evBkXEIxlTtizkvsqmNZf+GGS09+bSpWH7kE2ai9OkvfBoAcGtpv48ofii1z+Vy5aZd5ZznHGLbN8HP/RSqa7EP0Rt1WLh9ro5VnJ2eSp/RCzjX/OaSNC/PaSzp9ij4rktS+9xWRtwpYgIdv0hjS5xQw46EqkKLUBm1qsK0UyqOfvz8XOLkJL7EL4wc1K6joa6ITsujOaVG3no3gXalcbOjyrfB81aGPBmho30ekYvGcrthbT/Ug7lTIUQ98/pojndw9dAMAEgy6Tz4iPmd0yCBDpU5K9WFATkYYoghhhhiiCGCGJCD9Yisrqhe6QRkZRd2msaJrbAT1p4v7Rjj/OjQTE6i4ghRZlll3VqqsizsOzdu2XeWB9o2uE32wms1SRMTGfR0NWNlH6wLj8SgJlvXLU9XKDneumEvswrw/EhBHXq1daeSlPcMMtTzd8MmTheVKGOtrJ2N3FkjSzUxzHew1iwfrm83Z5YZjidcTUfiCbg0XvD9uKf8plBinakPuq26GrKSU9ZIs6lGx4xRY1WnhBpO9AvVVvlzyTHNa9axY6lj2rE/c9UY8g8//BBi1p0vv9rmw92v+VHbRs7OB6+1U9+AyEHdhuhPSu5C3YY23IUyB1pASw9BaEhdNa6d4EfNOTeZ0HvCbW+lGkc9fp6/Fev8LREpmYY1PLbEu2Skd6Fr2KFfTcM6vPen81wSMVkVVKlkh0idMavasm18+auGEDz0RTMxeuhhe33kyS8AAPYXpkg6mth5inp6EDr2MTKAvjqpc05kWqUsTe0K9tLPpDSVhaSUUh1Urd6RNfo+0CyrVUdGVXYojm+UX/GbjxmwEJZelll7ywARxzTkCzmvQUMReuiEosTHd1qII9BPWh21kOKqtAbUDRVKV3RdVBDPBN33Tqmxd7wGHVcf1Qg5WUURIgadQmvc+97J+0mS47oMQoBOjRdJsbt98XxJX0NfFMgnDZAocr6OOmfceM9Rhx7vQxOmic+GcIABORhiiCGGGGKIIXoxIAdrESFGFm+4na6vcOVSSOe8e65c4K+5emNtuo0AEpFdq7sotHzmPtSvnIQ1ePdrYO91ylXkasUee/ocpGTOT1zhjF0OzLTbJPVt5zmtlpnh1kz1il5PvHqrXfHOnQM5VkcBxIjn93iWpBinPvkoWV91hmpqXueWfruOhx4K2YT1farIORrB0NCO1QF7NcmY56epWpRlqGcwmVo6KetqV/QjL8TrkGl4jeQYV8iNjp4NDTtMlrWx39tI7ozsPElbvOIeQxU+9sBHAAAXL9wFALj3yutsLJWhVLJw9t56nq8Je9HlETDiNR2lU+5TXRyszTNjlE9I3VTOlekY7PR+2OB3pN7J8xCXYQ25YFYvjX11FqiDIpVlteq/RLXUaZImDSrVrzVfmSGtmiXPIdN5ZtkJdS92j3YBAB/6oz8AALzvg+aLsCztewldUIUYSNW0ScIJI6Z9ugY4edaomjDRKr8vbqMffz3EvUiEdvUzuWYtjRe/odWzpt8JwI/yO52TCpECr5lz055ohhoMDlUi/OBZ2AU720lcJI1pza12Pfqqh/ExjcHj4UgTn7WuAyGPEvlWNOGc/dfhnHjsAG/34+Ly+NOye+5G3rUiDQ55j3jrDIC1ezlyOGLoVhhiiCGGGGKIIb42MSAHa9G2QF1FqEsyxFmLa5lBbTG7Va3+8IhMaK3yoggZC/hN79RKIn0yox87EYFEtVDXFqAi4MoyKLHZ1d0A1tRApTN5zWcj1q7b3DUE0jrsCFCftvr3xxv0l5/YvouVen2VOdnn4p6OeV9Jz3XM1bXQJl0fvjJE/lIs7Chhnd+VDqXBoHPZBmP2uq+TrcMxdJkTxygFviRay1Qs8qoMflYnRGcaqGxT3gs8P/Km4AYnG1rFM5OuDVlaMLNecczbF1JcfqV1thS51cTf9Tu/AgD4pld8BwDgO177JgDAm1//Fvvu3K7/cm7bfOa5pwEA56jGeeHcZdselAkz+y94zXudFk3TuK58QQRhMum8MABgcWjIR8lsXPVuzR9tK3Lm+5i/jzhm+gFkzHJVi440p4/WSDTwcQHAfmG8jfHUjkP1+wPeB+//8PsBAO/7iCEGZSLvAWaQkI6/bber2XPsYr2j27+mUOJ1/DAbd6OC28yyXwxhkAdDknTPhuP1bW5L9I2ecIV397DjaDwWCjbi73X/sFuH++o8BaQT0fnFOO/hDFCE9ej8EML3dZ6Ou1y+ePgzSB01VKJ1hckmREX/dUR07B8vHDp+CfDGsc15PVbrunB3Tm1UnTMbEyKsfO4fHUlX52UN/UXGOcQQQwwxxBBDDLEWA3IQRIS2SpExI4Lq3exAGNFzYUlP+LywTGsyjvg6Q6HsbG4rOhmypfRjb+UnLga9t7OK+t3TNe+paI25coSzlVm7dw2DunORZN09pz67EpbxJOXxhD7uyuKU8cF9CzhIHkuN0zKMNaa0kIJOd5AfCWtptWcytg+W1pGOuC1lCGv9+kCHZjRegpNSXNjnnCYZIq3CC6Uw4b5LjnXM69i0IVISqV+dvJARe+WnY+6THg0ROQgZKSsza2bBzvkJ6picEaI1125ah8vDH3gUAPCR+z8OAHjLm94GALh82XgtTz1pmgmPP/YVAMCVy8ZVeMubvxcA8IbXG+JwfmLOkFKtjF2nvVOvkx6/+B85FfwOloZmzMkpaNgp0GkRkM+wwTmsDEeaCuw0yPjKhgnnZkTiD2SxgzIF52TFe+yosTF86qEvAQCevfosfza9guu3rgPouAkJnRI1FyNO7tiF/kO+SNWSwwKOvenK8F6njoUU2Y+qazeRujdO5iC4p0gkDkrXtRN+zmI6o5dB3SDnOVrlq+CzEk7tSAVhd45bl/D4nFdU99APol/iMFU+irNMNcPnRevnQ/39J3cvrNfFT030dZ/7c5DnWM+NMuSHxT0V1JcTbdO++IfuIFwlVnoKrixJtCdL0XBeuPYGL5v4UhPqfhTklRVSmI1TREX9AnoItx8DcjDEEEMMMcQQQwQxIAdr0dQNjvYXSMj4ZjkPLPsjU3oehf3fhTLuZY6KNd/VSnVoz1X4f2YV6pkXI9xrpVIfY+1VbHOunLOxZW9pHHwNXWtB6k5ucI38UEUwlTMbr756yr28KWHvOuxSUIeBl2R7rmJacTfxunKbxqeMTips/DHVOdUbWfB5Zf0j9c6rtqzz5GT03v6kkJiNMB6xh5499oIjxHcYEQHIiFbI4VLJnEjnGxPrDLiwY6z8ETUZFgurlyfsXpnQg2A5kl5Ei6OloUxiJutneUgckIvwgfvfz++IxR4y3p+7ZYjDpz9v/f0/euvHAAA//AM/bGOMbWw1CQ97e3t+Xu69995gWzXP+bX5NQDALsekembF81WQCb5iB8n1azdtLM/b977vewzFeN0VU33UHC4W9vmMN9LVm8/jmeeNOzHbtHGKG/LhP7wPAPDxT3zM9lXaPhv1eWu+8+cCUmUkV0U1ZzCkZ89H3JhEIWd3x2sKiI4I6FRJ0VFIQJiFuY+B62Nw3ohTwH07H6KUZkXoXYE08e4bISniICjrHhHly0ZS77Qo1QEiVU/6OmhMCTVZhCyUKyF04o2olt0ivl0uxSnZ/Yslqd6V0FcmXYv6lI1IdNG1I9SFIqNZhyHujC/R1fuTNQ2BnjaCfCt6nSE+8lPOg+aDb6/H4XIuCjo3yEYorHws3IS33wGivw8iVlVnghoAA3IwxBBDDDHEEEP0YkAO1qKpG8wPF66Fjpktz7Y2LWOsaqt3ypMgG0uJ0FZvhwcrFDm5Aqk8Atj5wFXhKJFqIfv56csgTQKxiFN3zLOh1N4pwIyZcMZyyfRWmVXaQrUr1SEn5BbI4a52HQfWJ/Xd3oJT/doxOQeq55ZiQMch6uGMakTdylZe94n01JllqYecpzpjhiQLibZr2Ob70oPgirqvHIbe5/m5uqldwc77zwWZuI6/0AzWv+fSWtDqnRkgM+eNDXPx25ja65SI0qoU25+qhdxOliY+H3b3DCFY8ncNrP6cjKWax0yBY81cOj/UxJdq2333W8b96KOPAQDuunCFx2Bjee55QxrG2Qhv+17jM7zxjW+0fTMrec8HbRtffOpxOx7WNcU9WC6tY+LgwLYpJCoiuvWxhz8KAHjrt343AOBVrzKX0v19c0K8dsMQhkce/TKee+45AMC589Z1oUxo95Z9RhwCnQ+liGJ2e3mWl1vXrC1Vc+cvOF9KZtZJz9MjaoCReAmjzvvBNh3qHIjvE/cQNO+CcRdHIg38KeHYpVEgxECZZF6s/AaYuj6DbUPPjTGRwtFY3Qiay9yJNCaEUtTiXoRtITpPek3XOiai5EXq9L1U2Tsm2vC40fP5eKn6ECdF4+daWfbZ6TME+/Ht1i+KGER98sSLRB9pcukWdck4KkJeRdXxQYTyRo6UaQzkwbgDKvcVJ4O3whBDDDHEEEMM8bWJATnoRQJ4zT6ijr1U/LJUbFxbtRVKYxrV5scYj0W3t5dcq0BlH8xklDGhV3eSImBVKxMCt01fA9UMl8xWV3IIZMSd+rjem4zDOr5Wsn0t+UZaAxpy0ssM9CLmsPS/u3TdP+YM7h7LWiv/TFoLZP6jp0+gerArvIWJ85pynL1K5z/2RT15A2XlbOBMHSM8DikB6g2NKaH7YJaY5wCFMXHjunWp7O2aZ8KrX2XaBTvn5Y9gnzvapwdBbtuZTreQz+29/Vu6rpwglY2p4nEX1NbIGrnu8Xyw/j8ZTTkmeg8QQXj40c8BAD6fqpuDSBX5D5Nogt/5yL8CAHz4Mx/iGGws+4eGZpTKbDjGVE6XRGmiTPNcLGtD0m7s2/d/9w+fsmNyzwV27hAVAyKMeQ2evsrPMgubjMLsVTohApDEFRDaoznXkJPTNcEw6y9DHkFdy6NiHSUSL4VaG/x0HzFQuAOmzlM/Revxa/z33Kc6Bto1lMt7/aWhwq9IvVJOmLoGun/Qz/ZroXty0hQaItQidNRcE07ojnNdBMK+bG83J+eQXQId1sHPAjHoh66/I2v6xRmlyRp7WVWOLLrWRK/7QtF1hLyIvkWPk6XumO6RxvmnZ1lbO9Ka6tlEBMFdWWO5dtqPVdxpR1Q4m9MyIAdDDDHEEEMMMUQQA3KwHq150aesf2+fy+dFlgAAIABJREFUo259I0U9dhww4xKLXdnbqqqQqKDUiA3Mz6ru1PNZV61wxsxhReW3+ZzoBYc2GoUKgiuq3DW99CVNEs+AxL6XJ0BT0x1OnAoej1CKNftBHif3wSzWyd1SGORKN4ulKInj0e9t5tsXz9u53T5nrPUClp5XZGELnUko56gVciTPAKkSEuZw2oPqneIc1E3XTaGanmrLzBBTZq0xORSxVCfpylmulLWQL0G1yie/ap0A5w7l2mnnUYny9szq6mhSzIkmzOnKGXPcGbOUVvtWebevFCltAnorqKNEGWI6lYiFF87t+FOOPes8Km4sbth7rNOPmJ1ueF1fHQLSMaDfgWfOmQYJAEgoLXnQrLhdOS/ya5wEo2SEVUVFN42fY8qJiGXKiKvwvql6mvlJrGw/7KCJep0Fcv9MtT9lZ0XtrPSYRBfp9p+GGBwLR7v0Ob4tlKz/cUfu1LWQOn9B6F2chPvSPFDtXc+efq6qzzkf5BgPKLwBO+J81NX1/bDD7Dz2I+nrO4RdDE0vXz3NU+ElxTG08sSh3HForE0NjHj/T6gpI57GuqaqfUdI8ottO+zq6iJERXXN2mpd2dTem1JjRFyUshQ3RWiveGYt7OTcOXYwIAdDDDHEEEMMMUQQA3KwHhGQpC0unSNDOGXtdSTddmrriwFMGbPlQvXQKepIWVWoHZAm6oHWyp+ZLSkK0jVQfUvppzoE0kQZFD0XuJtkxNXrhO+PE1+C+qoSdNNTppeJg8Dfs/Qeu3IXD0FOceIkuOYCD9d7pamn4CvpttMfgPqqEZyPiGNIpqy1Rur/N4a7sreSSmETquzJa8LDCRL2okOTDkRZF12S0ajXm+eHQpjjjJmcCr5ECNQ77k5+ysZFiGfWP4mtayFNLHMezZiJz7YBGD/gYJ/XT40iGnBq9fq0USeFsnME50EnTixz9f83jZT1xN0gL0BZrU5P1a451kk9Msze4RwSdqXIVZI/b20ZylPmRKaIGOzdpBsl309a+ou4ZwHnemiwaZ9110Bmvr1ispRD66qXzXttXR0nobNdTBJCJr0DIUnaTps5S790sOXkrPxULv8xyT911GQaJLdvFz0i+tdpMbQO1sU9iE3ImTe4q/7vO+9BA2ru4D3eVB06AQBx6oMJvm4cBH25l23GvdyxD0d0vwiPQSPsba6PLASHoo4on/+hroHPa4T3u3Mr+miHwxbMqNtw7HIO1X4q3kdRDExn9mDY3jLOUU6NiAW7djr+CzhGjYVzr7t7eR5CuCPmc9cBqain2VGPXDOjEbdgQpSLr1Wjvwc6Pj6Lm9CB9k5iQA6GGGKIIYYYYoggBuRgLeI4wsYsw85FqzVHqeqeSnm4SiUz+OjIVpTLI1vFTSczZGmYNfjqq7doXhO0sldX/GN/M/ueG7kxio3KDcuNLSKvIHH1xkNHADxHEZtYfd3sra/rsHbcUGvf19xcfVdcdRdk96cJM0P5RNQag1zsqjWnNw5LzRnkYhweGtIhBvx4Zp+fsK+79G2T3c+Vcqo+b0ETmfrYmfUKvTihwNnxPvhVKV9OlEFzpa9Nc8x5Ts8B1f+5vRkdBKdTG3OcqFPA3q9KO1+7u4dYLrSiDzMX17dg90LUS1OPnb+0Dr4vzQ15S7iuvbcM8Htl1WWjGon2xfktD46WCJmcM9WDPx6LVc1zrKw3USYVZmfuPe/HckLmGPfG1CtUy6e+6jlE+td5MVW7lyeHa1l4zz34ufX9dN01wTbdC+Dk3Kmvd9BdU40pVPN09LCnc1Cj7bQDtCV5ragpwXEGzS1liGEnUVmH51EhZGXErLTkeanJNymqCok/ezi+Hu+huyYnn48WzYnv327EUeL6E7jDbb3kffu1FtRZd10ImlOpOAb2bi2tCDrwSlC2z7Ho019OC+/y4OerCB2/h78TLyrL1HVi9+qK5j3Nir4v2QhmsDJwDoYYYoghhhhiiDOOO0YOoii6COCvAfi3AXwXgFcAKAB8FsAvAPiF9gQ5qyiKvh/ATwP4XgATAI8C+HkA/7B1U/Jj3/lRAD8F4I2wYtLDAP5x27a/dKfHAVgWNtuZIGMtWjX6mnU6ZRIFk8BD9oPn7IPH5gqg694GVQmlke2EV2cGh73QQica7iNjAVzuYyU9GMQXaBv1NUtxkSvLycpX+p5NNKw71vJa4GujLMI+VvEfqlcna6tpAEiJiqwq9a1LBZIZB2dTkVdrTHX+Ti6TPKf5yo738JBZOT833To5S3HztUiqg3Ir0765fX1trT2ir4WuZo0sC/fVuhe8EIYQOaI8v3MVNjbtGkkfQcv8fEVNgz12KMwr33dX66TKZC02uu3D9efVE91HnKSQSQ7LmJ3xSaYMSLVrXWMhL7VneJ4ZqvukkVqjneTZBvkg8ubg8c/n9GngPrPMarKzLar7EVmqKilvqmPkdrKYfg+5OmBuN5Ps0dh7fIBes0OnMwI4cuZ8mJ4Gfn/+qO/f699O2j+Znn9c1a/TsNA18TOkbTuCEJ67zqRRHAqpMPY7BcKxSB+l7hE/sjTxcat+fzq7/uQIK+wvPcRcAtYUL3seE1+z6A2+bYGqklqtW2MGY8pLnUNyVBKhU7y3X+6QRR9JOoRLsgauhyGNDXXMCRyWC2s9IhJ458jBWZQV/gaA/xvAcwA+COBJAHcB+PcA/ByAH4mi6G+0azMtiqIfA/AuACsAvwZgF8C/A+AfAHg7txlEFEX/FYB/COAmgH8KW4D8BIBfjKLou9q2/akzOJYhhhhiiCGG+FMfZ7E4+DKAfxfA76wjBFEU/Y8APgHgr8MWCu/i+9sAfha2BHpH27Z/zPf/JwD3AfiJKIr+g7Ztf3VtW98M4O/DFhFvadv2Cb7/PwP4JID/Loqid7Vt+9E7OZAkiTDbSlC1dISTklVsmVJdkGtwYBmSIwasuefLGqipjlcyox9pNalTrTWSFAClBGdZm3qKlaUXcm0jY7ZmFr9aMAtUf7TXf0fdPpnxqZboTPBaXRfyfucqPaGHuLKRHhM6HZO1PhGrVp0UrPtzzPu3atcCkNOYwIZKync8D6ulmLpEBCbalroTmGGXoYa4VOy0oE66gq99vhL3YK2mx8Pvkkp1EPQ801m3jtjVwHZnR1hmHFOaSd/c0A8hEX3eQDYeOSeAZoOOJEWcW2LXu5fAWiazHuqc8L6DWJ0UGY+RGTc1CjoMrllvgbDvep3aXmebdqCzGckY3HZOnYOSnBQhRQ3vkxEVREdEtYqSNwYnXIea4IRQnbunkNj2M0m5VCoLD4/Bz5OydKk6youit9coWuNznDQsrHVSQOPnGPSz57whGtjwvLkynq6ZNApkKBI3J+xcSIJUCh2W8HEDcFXC49oiPZ4H9QGqMkQO9NyJk8QRwr5/gSLxTZ6M4txpjlq1Naq8Q7iCfcfJSV85s/BrKR5Iu/47+21GzoHQT4XrH5CDJt5TLE8a56bcXjhiicifIeMJEeFxeI1SPmsogIqq5DM/jjm5b3OnLxB3vDho2/a+U95/PoqinwHwvwB4B7g4gGX7lwH8shYG/PwqiqKfBvABAH8HwK+ube4/BTAG8Pe0MOB3bkVR9L8C+P8A/JcA7mhxgAhIRi0qEbIiCQ/Z69Hc3t/bZV2B5Lo0IaxatVjWEoKh/Gmq1yh4lRymL0B08yeyYBV5SaQYEopyQf8aMlseY/4FazOkIO4NSisn+ktE6Joy0KX+0vL3guQFm8uwSRK8aa/9R+WWRn+BGhtDvogwF1GGG00oRZ3yj2Ql2U/WCwr/Y65JzvOk1j0ZjPQmfUd0lESy2oT0wcq/o+dMJwIVkhd9gSW7Zy6yJI/c1rQ09mcE/5DzIVHwdlrlguktxpMJErb5tfxs6auD8Hj6NrC++NG5TwT58ujkNUti40Sf50JtXVU4SlQms/d0LTY2rTwwmqgMQFi1lDU5H1AjbUt/9MI2y4xtpvGyXyLAqSHYuA8fd3/8Jbsd2uhqUeCtej0SXfdHNlwk6A9+HUdrXbD9k24vLjV8orrX2lhD7idiL2WECz03VdII69ZbDOueZLMv7Hnf9K+7H2Wj9suwFbbuSSJ3a2ctnrl9JJ0hm/9lDMnRL1peOAVH70jJ3UJ9PTR/3FJ+fV+a3zwPXj6Mw9bEzl6ZX/NrwXtaJSGfPyL02c9jEfwambFV6J4L4X08SkV25TZ1zbQYZFKVcBAZF8vdeTh5mfD/t/etsbZsWVnfrKr12Gs/zus+m9vd9zZ2A2keUYhKE6EbIoIiooLyQ+ggGDC8WlAxCNoqGkxEgcaA0UgnktgkbcS0aUADdIOgKBhUwqsJfWn6eR/n7Pdej1o1/TG/b9Sac+999uOcc0+fe8aX7NReteoxa9asWnOM8Y1vmGiWrr1u0FHkrrZnLw/x2ZjlucOQRinmKV31LkwO7jUhUZHi1UDX53P5Uyds//MADgG8Iaiwwdn7/GSxjcPhcDgcjjvAPUtlDGmK9tX8uPqj/klc/k65T4yxDSG8H8DrAbwGwG+eY5+PhBAOADwVQpjEGA/PaNevnvLVJwMRsVqYR6Cuk6mk8MHeDglXNKgG9BjUIpe1015PhJNEWcSzKEJhOvZal2aVMmLlsjK+kEkak3gmchjTzfpQQNpsNk+XvewGaAZyb+lgSkHkZwsT5B2gYkCjodom8iPdyxQBUZqhjiNrZUDvRTPs09u6RTnE+nIjOXJrpdeEERlUn/l1aWlyFi9LSv0fYy8fPbBCQnkKm8qfytUaec9Gk3T/JyzdPWXxJCMecX9ZaQql0LmDDurHIZoR+0hEQchln1snlgZ3iiteBFSlVU4llkVZZSlUjcbsT9MG6u0AIyaaWUVrcqa8Kbkw6TFqRNhLA2a6kJuch5a3p3B9iwxpBlFVr5DdJEmdvhvSLWGltnlwjYelCLjmaShkhuWyzy/J7ulx1lzVt0Vf0YJdcFk1Iv2ebBn3oj4KK3B9cdOqwqpdhbmm+7xSrF5IbYXaeGzJJItgyIFSsz+VKizIY1LRA2ciYU3uUQH6stadFVI62Ztj3i0bpEWblT5q8QiO6aJsdHWCbdrfk9z07cXAcg+CwitmURfhuC6zS0/CSR4ZnSv3ToEhzwHDitMjNU4LeVDPy0hkPxfhmhBCnxYtsTs+B7V5RNM+4+T0w4Lk6SeeHOMP3geYftkd4F56Dr4XwKcCeHeM8adX1l/hcueU/bT+6iX2uXLK9w6Hw+FwOM6Je+I5CCF8C4BvB/BbAL7qortzeZGoybn3iTF+5okHCOFXEeIfCWFps2xJ3W5vpynilGWSB/Qo1IXsaBX62WOtvD5JC6s0M2fNRyy5u7aRpobjQZKmXeOy5rxtepg8Agd7uzwuSXT55BaPPZmsuqde+QiGw7Tv9t7NdOy1JO87ZvEOxRgXJNwdHqbr2z/MY2ILxpyPjkjQ5CTcjFF6QUTEG2aiOJb3xa3Liik5MbOf6fPYWtJkqjhrn5PLMGfhkaE8DmyDLCnJyAK9JROMeKUUtNwrYZmfKp+s4la0SpVeF2JucWo/FVwSR8XGB6petlfWiEoUq9jPQsdSgFp8DmTorCBRQdyitT+j8NKCBDSJaQ1HA4vtTplq2R3I+kxcCpFgxyRBjchBWNtI17O+ziJZrGEtAZZFJy+AiuOIRyNXQp8iJ+Lhsdi5LEPz+OScg9JjcDwennuk5BVRiq/FdZf9s2qCSCKjFIRN81JpDNaFVV5YjCblG/NiSbC2FPuHsOJNyMmOZ9HwFDPvvRq5RyaspEuuQsWEtHp/f99IeBJKUiEuO5eRf3kvtHOdE+7sOavlWcttzzJ9WzyKGrXF7xu7rznXRPuWHASNCxVLksdQaejdGXyREiH0Tpy6XIb03h8x1312RNEw44wW13vuNFzbw5aDRs8geQsaohx0i0U+Xl712nTPPuX1G3jxwwvMp+elQZ6Ou+45CCF8I4AfAPAbAN4UY7xZbHKWlb9VbHeRfXYv0FSHw+FwOBwn4K56DkIIb0HSKvh1AF8QY3zuhM1+G8BnAXgdgCz+T57CM0gExt8r9nmE+/z3Yp8nAawD+OBZfIPzXUREJMP+4JAFN0z6to8hAz3XQAVbBnUvqaq4mqXRVbnloxiZPAiK4w9UBIjbtQweTY/SdkNO/NeSwjMefyrNl556VSoPvHFlio4z/CEFmWrGc8WVmM7kMWh57NQ2kdPnjF/PtYIT2kZSrCOJ/4x43bRaaK3OZnOzpvt4Wp8AlqGIU4vhq3LB6qdyFiuCcyksY3H0RhLGc7Oylgvj7mfnVEgRjE8PKQ+9f5j6fn44z9qmAlSydhb0MERmayConDDb2nZYMEVAllDLwlxyMInfstQ9YGaJxE7EZLYYcsgt5T7uye0ULyfPol0uMJtKpKhd3QXtQmmD/MxCQUdMn53O1LeUtpZolh4LKxYk7wi9N/zaSv5Wwe6FLMHBUKmcsK3T9Z5s+VSnpD6Uhb2EWIy7SuNqNS4sL1Odx851XQtesApx6XtxFJTypnCwOa14LnlkGgqb9Z6rPsau94Z5TFqdW6m+eZvUf+bNIO9Dz6AeGJVX7wsb5f03HA368r/K9JFktXEEFsjBd1lxLF1DUGaRFU/iO1EZJvIsWIoW0Mg7U2SjBKYJLgv5bHvu5UFQlhfbYpkGK319bpTcmaUyoZRxJh7LrDh0cZJS+/yM8xm/Cv24UF/JqzOd7evgAIBXP5Pe+6/9lPTuufbIEeqiNt1lcdc8ByGE70CaGPwaksfgpIkBkLQMAOCLTvjucwFMAPxSjHG1vNTt9vniYhuHw+FwOBx3gLviOaCA0T9E8gR84QmhhFW8E8A/BfCVIYS3rYggjQF8D7f54WKfHwXwtwF8UwjhR1dEkK4B+E5u8yN3fCExAN0ARwdpBrd7K8VWZ3PFKTl7lVUngSJaWrGGyeLGImqouJ2sCMX9TcdA1neXSvhOVWiIs8Crn5COe+VaWl69kWaKm1tpWTXJyt0+2MY+Y8pHEtxZSrqY1qmYrAvGgvn9lBZwqxgq43iDidjH7CZmQ0xZ5jRKZGmf2R2HQMPOaSK9F2aN0HLmzHfMmPgWixgNOrHV2aecnVMrqB+wMhyW9Iqw+FW9Toa9hfvnKyYd1zFIOGJ2xSAkym81SzH10CQH1HTvRfYbLSJazktakIeMOXatrOBcXEr8h+VilUWtvHRpafAeDFjMRUIFtOZmjB3GRZkkzguUBDKttSEvfJ2uJXkaDo6OsJjJouf9pG2gXG/Tr1jKk0SrbSGLLz0PGruxVplbCWQw7qtsDRUVk0Ohg8m8ircxgLIU2Ldi4+v+S/zIykwjO+eyVWlz3fCcfb6UBG5PEODntvcUGM8DBdhfysc3lr0sQWVS5NapUQuMZpN7z8wxgZ6bU6mceiFhXMlDwDLi8jAqa8Vkw/luWko7yfpPnqb0/ZxFxJQFUTe1tdOyTzS0Ci7JSudxO1n5J8fW++vUcQsugt5xVX3MujbrXLLiRRaLQXoIcwmZUdJdL06Tr5c3Q8eTfHkaw7XIWzEALEzXHivXlfquajjmtI9lmhRtY7c0fL7s2bdsKXrs6NVZqJjaoDIC15zv4HmV7udwPb1zXvdE+v41z6RjbF5NvxvjtQGOSX5cEnejtsKbkSYGSwC/AOBbTtDDfjbG+HYAiDHuhhD+GtIk4T0hhHcgKR9+KVLK4juRJJUNMcb3hxD+FoAfBPArIYQfRy+f/BSA77tTdUSHw+FwOBwJd8Nz8AyXNYC3nLLNewG8XR9ijD8RQvg8AH8XSV5ZhZe+DcAPxhMkuWKMbwshPItUeOmrkabtvwHgu+5W4aUYI+bzFotpLum6NpZaIWOHmnUyvtfGNJOMbbQZvyxlk4UdKoYkSr9Y2OmjFLCkqCim86OPbQIArj2aMg7WKG17NEszxRdu3kpt6DSbjZZnzxR6K8A0m9FloIANt6toOQ3X03WNJWE8Yt4zPQWKe4oxbExwWmX7+4xpL7BSarZg9tMakfzn1aspY/UqVQi7LhX3kaxyyI3SZGWgZzpLjvjoiDF9nme0zv6sg8VCZeCIbRzb1JfPP0chC3oCxusM/DeKGSLbv22VDy6N07SQ1aLtzPJaPYjlr9PDIanmQu9iwPLIWkpetqUHYXqQl4AeMfd6TI0KKcgtZvJurFg1ksJkWzpTxsstH2ku6Fbu76fO3ryS7tXahMqRKvk8V1ybux0LwUYbCCqpXCuR20ptk2NR8Bcsy8GM1Lytys2vTYMiz5cPx94oHVDwEcyiNctLx2T7W+k5hOw6j2XgGO0l1w05FpJGtH10TGVtmBqpOAnSNZD3wrgKOpa4HFlLeuVVEyVJi4UVDwL6n4F0QTOOmRkrzB1XOtTzlCuNCqZBYckayudXrn4uBXwRQkDZFlNKVPEseiOGg1y1s4RpLchrZsZ/hA0AnYsqtMYJsOSW3BtlktdFf+g6lcFWFr8KdT5+2m6KAb1a4wmvZy0d8/FH0svmVa9IHPxr1/TOSVyEzc0t1PUBzi/afDruhnzyWwG89RL7/SKAP33Bfd4F4F0XPZfD4XA4HI7z454pJD6QiClOqtn6ZC3FoMFcU5U+lvWqOJeYttPp3Cw7U51TaU3FvGgpjlTmmNkJKjx05VqaGV57hBpQnIweHCbrdmc3WW8LJsZLo19zz2ZZY0krSu0TZ0IHi7IiuZhspHOubUqOS5dLTQEyfnUu1ZJYG6W49tFeatMel9mclSabGOtR1vUyWSXb28nz0THON1zTubi7KU6mc25MEj9gPkvb7e8c8Ny0wIYqDkSLoKlNTdL02Xmufbb3hefScmzCj8zKSE4bM7TF6p4zsFsN0nFq1slYznOFvYVi1qjsQqzmjqwPKZ8N8pizWNsDUY9VL5ptO2LmxMHBUXZtYsQvqHcgTYO038nBSFlEivPKqrIMCelBkC9wRKXIa9TPaNg2ZRgMmM3SdSrkpRMBvc4DM37EY4GyOaRCmbAsMv97J4eyf0hGEZdBiogy65UdUZRXTtvyn6JbyhLNfYy91CmQF0trcmtNBclGTDHSMytPTc9N7zMflBlQjXMORe/d0ADKPXLdMreke/XB0ioXd0G1G2rzVqpzy7LJdV/4JW1mxZE0ZnN+VVlmuke+fjX8fFqJZstoEMeIlyXqQa+lkddcsNoRHGCjkfhCy+x700E4QViiqXNvS6A1PyhK1C+XNogJU37gOXJvcsndMH4UXbrXHmvwymfSs3X1EXkd0nvu0WvpnXv9WnoPNnxvdPSCzubLc5faPgv3uraCw+FwOByOBwzuOVhBRKpyZzF1qYwVudky+1SqFtI9qCuwum2v9U2zSTm+fTw6rd/aSPs++ljyFGxupWMeso7BAa00xamMzV3Eu6waYbeOQAu3ouegthLMOVsajbwWUnWkx6FgVzcywoI8J4yD0yjd32nZVnZHDTO3jbEv89GCv5rhJ+tyb59Wp0qPBlU2S1u3C2U9TLikhRVUN0IV0bQ972FoLI47bNKsu6XS5faL5BiI/0BPEUPpmLcUT7epPTNDlDrBuKZKGYvVrRLQM1VpC8GqBspTUFmJSGWpsJqnhA6M6CCLMc8w2NpMbd1gY6fUYpgzTqy4sSzt2EXL8a8KK0vG2bFYKJca9h29NdI5GJM5fXWctDZUxbNVRU7qJ8ystG1/TFFv5DFYSIRDXh5VIZUVu5BuCMeByoQfs6TpHevkWZBSoNBb9+pLW6OxihK09AtSvtRKozHoc70Aea+shG+rZ3exsr16JG/voJH+Ay19bVVruzK+nR+nKyxxcU7ENdAYaJqBVY88mqZ7YLwgVUQ1xchTuAVqSbGdLNgonk3MPQ/nKcdsugfFXSm5B4KOKXXXvppnrs0gpUirbbGCqPcf3wsyoc2Dwve+eFPK7umhjLX8nkpJtK/3Ia9Res889lha/+l/+BV48pV83keJg6Xxvrme2h2YjbJNz6m0bV7cfrHgk1we7jlwOBwOh8ORwT0HK4gxUi0uZ3PbLJUTxJbx8p5k2qshqtLhwGaP3IdM5zHz2B99MsWUNja0XZrpbpNTMG8Vg6U1qtrhxsLONeppMCJ0DRaq9Mcqiw1jYoF8h40tpQDQHgm0WkFXgOl45zNfRAXZ0ue9W9RWeL5d7QagavrcabGxe9H8tIny1jnrjlIGlLXdiHXO3dp07qO9Nvt+Qt5DoHdnwuqHyosP3UrMWxYyPSrtNLVlndyByVhxyeT+USy2bpK3op0rJp+O0/LeTKliqWqOYmU3w/7xqqvcwpOqnjQmLExoCfrSVmCck+z+juPiUJUjBzkbe85UFSnshdygzGDxWnlx6DnoMwlo+Srbw9Jb0ucDqw8izkKydods04KclUW9wrBXHLukBqhKo1T0VEFTcV/ljFvNErHM69Um9RkiS8WHlXFAC3zFurXL73IbSR40aZOU1mlVmFT2ftCYKxLNS+u0W1EM7D0prGthaoqD7HqkymlVGKu8Tb2CJttoF6fsJ3s4AfSexnbZWmZQzyXIUXoC+sqaUjEF1x+Tp+SC44f3tjpWF+Okc+bnEnfAjlFwD4RSc0LHUeaFKs1OJum9IW+AMmsCItpOWgh59knLMTokx6ahB6Gn9eReGxT3xK6tUOCsWV/lVa++AQB45ukrWFZ/wGOlygE3rqfshAHduMqw2mVdnBm9BUezJdqTb+OF4Z4Dh8PhcDgcGdxzkCGgqhqETmxrzoznygigJaVZLGfOxmJuOos/KsYuQ+fGI6x9QE9BM0r7Hh6lWlGLNmf6myZZwZiOYgyXs0PF+GNreuKyCBR/36CFHGiVjDY5q6blJGOk50XIypPCV+qXKfkBezepvU+5b9OejytzTqvDTo8A56ND9uGY8bclZ9OzMvuCHgNM05o5Bf3Hk9SWNVWSI3M+1AtuR2snLC33WSXbpKZHOQdsbKZ+Ga+lY86lLicFOFNhS/9IU0H8gHmkyhrbLB0FqV6mOKcsIcWp5RHDlqONAAAgAElEQVRivxgbu1DQLObvc8aFOzLfTWtjlh/vdvXgeq7B7fPLpUonRUUwr131HqTeKM2F8braTg5Oldo6YmbCYj7vWeclw9+srvQxmqdAWT3iotTZdfZm2TJbWsU/KeXJSlv2z5H4LpaPL31+i0/z61L4zu5VEe+WDj49J5bPrwcqp0esnjrjAKxiQS/XfLHifQGwFF9iKdVWNVLjRtoC6lD2h7k9lE0Vj1X4LNHH95fF58Kjorad4hAwj8lCFnivBll6SEqPwdltu92I76HtrPaNMphq9WOfIWP9Qg9CJfcmOWYScWwt20f3m+t130Ou2SLlE3WTCmW+6unrAIDrN9bw/C0qqHIbqVDO2XeHVDvd3Wd9nLlqTxznxlwW7jlwOBwOh8ORwT0HKwghoK4ai85J/12sY9PxXqgKH5nWygOPwSpiqQJeQ1XFq1eTZTugx2B7N9WlWlDibyA1wo4V/SzDgBaAJYRzdt7ls0/9Mz3YxcY4MdmVAXHz5jZ3pVcjkF1fcbbOWXM3zY8lKH4bqAy4v5Oue2+blngr/QB6GNpo7NlgdedpuSnPnVYoDULjaPSdzO14zpbqi2rr4ii5KzY2yBcgi3fWkx3S9iFatoXaouSDra10zgmrVy6COBh5N8zJ/F/MuWObbYaxdOqDdN2L/OXQ9epqFgrO76c0NMx7Y9ZH7klZSOdeBiEtipmY5sW9W3UO9HFcntKqxnFhkvfia+SZARXj9/OFYvH0HHCsV6obokwCsfXlgWjnxha32gh6lqyYIMeBeAC1OCS6YMXH036WO857Nxyn7cfjFFMWc3s+Uz+u6geczZa/HWSh6d5WfPgHBQ9EJphi7/IS1FVrXjpZwPJKqgbJUrUUzJuRtzlKmwBiwqf1YjPUfMaDDWpyL2iBxsXtvQYXwTF9g8Ix1ck7INZ+reelMZ2GRaEAqfESu1PcEQW0XzRehMZ8lS3nrCMzoiaHuF2haSxbQferacQdMDs+tX+g9uvkIr5wMGusSpNDXh2rIJnWr19J9/SRJ9JvxHwxM6/cgBoq+3tp392DxIe6xQyx3QNxubiIq97mO4N7DhwOh8PhcGRwz8EqIoBYWVxOsVaxlsV6N9GukmndLRHJEpe1OqGOgap/He4mdqkU7BRiVHy/XShWrluj2OBKG9FbH7IspKx2MIuYTJitgDzWNVxLsXAKHOKoTYzXQGlASRDI+tA52kVaMaX1vr/LuDdDcAMkK60xo38Oza5Vd8GsU17GiBcuHkRDBbNpoWQ34sz5aLrHjlIckJbVQm0hm9/iumKQr7DLg2KdVE27mjwsizmPYeqN6fOCFsAhsxoWM834ySiHkL4fy5JQnQydt1r2GgjkTCxNz4FjrU3j5HCh2KusjzwGW5anb5fKauHmufha4TnQfzrm7bXgjSdh2SvpukO1WPkWaDnmFRcfahyxP9tOVtDIxpayCGTBzheydNmrEu3jhcXivlv9AvFnqCi4NlT2T94mE6czz0yXc2MugL5/clXC0uVkdR1Kboe8J12Fsu87Mz67E7Y9rkUR7S7IEyU3WXlKjjN5FpQNFSN6G/FiwWobu4ViYv993gjrN70npMS57I5xBkp+Qn1GhkPJPSjHdldoK8ibZW2gR3I4aJKiKXqvRcPnWlwlefcGI9XiEAdpVb8CaEZKybEOSNvp90KZWfR2VXxwprMZIqvNTg+UEZWWH30+/X7c2pdnOUHP1draECEsVr65PNxz4HA4HA6HI4N7DlYQEbCMVW9hmSIi42BUEhzQWgksx2d1ABbAkpaNxBMr5nrv76e4/4xJsRuTZLWOmAGwvZNiSbszzXDTuUfkIgSZ5eZQ4PdbqQ2UMMAjNzpMWT1vSj7D1g3GgNeYj8+Y+Ew15KlfMBgq/5rrpYjI73eO0qxV+gDiZMg1YdUpQx/HtEQOfl7nbHqLcf7r68NswxG1GXSIgRj/RWx2c5T4FFKfmx1Sq4F8iq6RJdJgxtjfgNuOKEahWggd43sYJT2D6WFav09NBSkCyksjNvqgGXOZYoVDKcrRumvpkWiXrXmEpkeK9aZjVrQIpTGh+gSma3+szn2u2rk0g0v3Is+tXjW0TIZe8W3Lty614dm2KG+FPAjij/D7oHslTgE9VjKolILBTJxmUFnMf059h9mCHJsuJ3Is7cJybQV5AMTn2GD9ixG5J1ImXVLvQfHgjt4N8Snq0GCpg1WKMSufX3FuZWsUFqDaala67lmZQcHNrP+kuaCMi6q/gRqv0mmQNS5FVKs+mN8ky+pRPFux9SrfouccSHMgfVx23bF4/Gk45gE5Y/3pB0oL49Os7F+Ozd6jUKgxnpODIFQFV+OYV8O0PhZoxBkpMsP0rpEK54A1d5ohdW90++lxUBbUFaqZdnw3VRxnB5SUJTUMaFPm2s3dj4FOOszpQVDtmJ1Dqq+qcCy3W+P79PEnH0Mz+Bh6Tc3Lwz0HDofD4XA4MrjnoEDsEmMVAKJmerVU22Rh0YLirH/MvPZqMkJH9UQo/hRlfdIi4IxP9QumO2nFlHmrYnjL+ld8a7JFC5v7DTdovTK3XHXJ1yOwGEuPnxaNFO1owUXF3Ux3XtUYxXwNvG5lH6TVi1nObBZTXIz5pTgOYdnnclv8Oa2YMKl3Y42xYlYVk667LOzOpsapb8fKe2Zdg7UqrR+w7xWT3t1PWQwzGQprAZUEDWjpK77dTlVtMH2/x9zivT21Je0my0E51wve/zk9KA2XFU6umJnpwvOYDa31EJXHn1uhUl9U/FMKiT3Ln20r4t/hmNmKc0NtOS7plo+LuojnGk9gWa2u7k2PWmqXwQ7V135gjjh5MKHKa5IolC4LSTohE46f4Yh1PuRqopW+vpF4MDM+w1MqyUXzdjWm36E+F2O9s+sriDKmB6B7pWe8uF4L+4uzJA+dyEqw/eoiY0L9YRlRpi3APqwKi1ceNdUQgOLj2o7jxbhJuepjCNWZehfCWZ6Fs/c/+TwxxpU+zMf9aW2zDJgLZjFYW7h/ZYSkPkskSFm2zutyqIaKNCQmdFttbKaxrPeJvBATcry2rkx4ncrASPd2je/u61dVvZHqp/MjNEzjmvHdvHOUzkE5AwzpUb52PR372rXknbh+bRNN8wLcc+BwOBwOh+Ouwz0HBUIFLMniH5B1rvrds1myDDuSDNZGVNajNdx1LaZT1myXuZ2TzjEkq1pigkfMWpABMaIOgqzVAR0GMn7HjK02nHXOaKUGWlrTrkI9zJXKFGcVe7aVHr3yjml9Dmi9jlhdb1SnWek2Y2OthYWlPsfZthISVkjbmtAr43tI1bwtVj7cpMUXyIsIPMjmGusYBGnmKzdcR2LsWCx26UEw0M1QM/ZVUDFGbPD+1KACIhUOO+4j4bO93XSdh+SFqM29qlrO4tdMX4xqsZbFG1i1enX/5Y0QL2M0TNcbeJ+nPJa8DvK4qE5DF1fMzrSGbTyFGX8eWAp8fswlY+rie4gxbtZryD0Ndm5xEWSNzeR5C6YYWjdUleRzojIUCvdqbA34xZjxXWWayHLs2fvsWMuhT9eyxrG8WE/rD/Z7i0r3QAaxLHurgsHrrTXW+g25ncYo79UplrX6rVc31JgGulraETzGKcL4ZumW2gG6FhNC1NjMt1jQE6HMK8vrD9VxfYIC51UfPAunex6629ZZSG04+fvzehA64/AUbeLgFa+qnS+xrOQBpcdHr54g9ckEeUprDtp2IcVN8US0TMfZO2DGFdI7Xxk2/AXACzuJczDrOvNuqrKrlBBFRVnfTF6JNR5jgzV7mqrtVTHvEO45cDgcDofDkcE9BysIIeXEa6Z4lXEc1e3e32Os+UiZBIwDsupc1x5ZzJTy2zazVY5spyp8iv0pXCutbxpCW5us371GTwEtKBl3s33q+tNiGrLWQFvNTetbVfTE0q9MDJxseqmR0bIZsdEDchLGdFuwCWhqehDUX7Vm3WJf81piH6bVcsB+GFn1OXIFCob72igx/w/JPVjMUhbHYKgce6nuSR+A92SuWbp1aFp2NYaBtds5RW8XsojT8ojxvLYVm1zVGRkjtBxqZFDueJ+b32anvnqN2QyjGnuqu84+alTfgZbtrGMMnlaq2NVNk+v9x6JSoPK2T6uodyEoJG6mM7k1skoV327KJHpqCpi3jHoP0rBoUvy/wxyAuCRpWxbHw6OPUulykpZSCtR1a6xO6dVppQuiWgrM5hF1o6MIR0OeySbjwzPqZXRxNT9fbP08a8Pi1CaBl3tnTKyyyEYwvoSOazU22LYV74CsM12PaBvmnZFwB1FySiq7XuQwxbzuxO9XrfizPANnWfXn9Vbd7jy63vpYVoG0FOhtke7DsXOez1q2CpPSjVC9Fd2yrsZSWiOqzshT1aP8rTYlT8rWqu1s64JuwjnH4hF5NpHPSRyk7Y54jz98K2W0TbaGxv/ZpqYMBT6xOUnvpnV6kK8wW63m++Pmxz7YezDuEO45cDgcDofDkcE9ByuIscNiMcPmhqrLMU4ltcMJ81oVc1QN7aN+RqgJrWKrskZizBW+asZQr7AmgNV8Z2xwnVUGB3RjHDF7YcaMgznj3YpV20R6vbW68lJd1DKqRoBm4bSMpVYoi28hXXcpgdHyE8eipdW3ZJXCZqAlMy2mvWa8gnyyhJel1rkyIjhL399J2QZSPlTd+ZGC0ZQdVHXKufLCxe2Qih/7YDzYQBXT7Ho+lTohL5ex8B32bcSYS5E1eA2nGinsX1nMJIqMaA1P1plRsdagkx47eQnjapwderoni5ieIFU2LKrSafycFSc+CWXMV8foSyyIO8FzBTHH+b2sO+RcA5lWqmynMTpgdVM00kdYAE26B5tb6RjXrw/4eZwdU3yOhSlLKtMm10Moi/YN6a2oec/rJfUPplILpSU6j+Zhq+URKBj+4uqUSQp1YVLJM2A5Duo/K76QFktxXFZqr0qFtSkPSsiTUOpdxMJS1nNiqqbmUaP2SKEGeVxJ8N6jVEhc5aqU7Sg/l9yCui49KOKgnHzuMlsh9oM+a0wIwZ4H8VmGtbJYlEkjBV1lM3DZKVsB/J59rDEqp6Y2IDdscoViHYNDbjdES/7LdKYaEMzaEldLXJJp8khG48lN6FW5c96BTw4KhDrawDs64s0yVmFeBGfOUs56B9QrvdmL0ygNTHLC/JHkD6xepCIzbXCgDPjjceuF5AZdkOj41FOvBAC8uHMTAPDczRcBAM1AqV+tMWY0KFXWVd7OgTWUoQ4K80w1njhpONpOP9QHFAM63JXbPH8CKwq4DMz92qBlcZ4xf9SbseSB04/DR15IfVvrxzCkwT9hDCOQBNoMJDDDc/OltuDFiIAormBUauCQxxtNLBVThaHEH9zeTm48XY4VStJ745QXsmSpjZenQjpMx1unqy/wR3GxXNrYGHOCOWFY5WCbk745f/xC/5JaXfZSs3nxmpNetOdF72LlJOGUXe010+WTB3NdL/TjKhc/X2yLWwCAZqDUrRrXb6TxfeORRMSUUNJ0nsaDhQ1UilpaQKYTmxb67WhUcpfX3Sjlb5n6eSmy6QHly7lcLlcyLhUeUzxRIj3zXBSsF5HSnvzxGDXZcUyquM4nBxaXySZ2prCTrkOFhmwfkRf541j8+ul+S5htaT9Qmvjl4k/HZ7rnmSDkpNd7geM/3refvPThN00KcnK1UIYp+v2VIqqZnBbRJpya7IYqv48WHTEhKRooSulW+infowueqxkrVJbGzZhpuePN9ExIMn93fwe7uwxJsBT7iC8Qkak590WzTlG5zau8/gGqMMNFpbBPgocVHA6Hw+FwZHDPwSqCJvAkWDHNzlz+Ujotes1UaLveSJDnoCKDUGTAYAVE6OJmiGKDbtVrV5JPumUq3mCfx6ZFPFse8ThpNrpO4uL6Ztqv3hhauWRjkrF9M4U/5pTspcegpXzwlNaW+CwHu+nkNGrNmpGsstLMAq8hcEo9bhoslYpGi6Zlz+wyHVQpjJJTHpNIGCnR3NDqXrMwAi0D8FqUGsgwgnlkRCKSqR5761Jlrw/lAeI2jaw1FXmRC9OsL521MBmINZKEhutKO5S7UWllS0RamQ09GipVPF1InAe3hSyl1srB3n77C6Fkj5aQHHIlt3h+cnkKmpGsXpINt9L3jz+RxvbWtTHGI4k5pe+ODik4JVlfHlr8MHmE5EFg92FtTO8M79WQolhTEnVffCGlhU1vUQp7h14ceprW1jZMnMpc73xuGoZ02iIPufeK56GNXjaZnjjkHgKz+nsXQlpUnQmJ6brLcVB6Euomt4QtdMgOms5Jrp3nBZqsDSeMm7NEkLpeN/q2250bPF0paXweHCvQ1J1s3552TaVnQVLGLd/TSywxmbCIF0WMJIanR69SrIfv0WhFsthGego0dqdkQo8ZQl4od5rvzbm8ghxHt27NcLDP3wWWHm+YFD6k8NYGvRBX1lP42by9R4tLhRxPgnsOHA6Hw+FwZHDPwQqqqsJYeXvoQ6yFIWAxp4YxxqVJkq4cy3RiVEI2QeWAqQKMLc5St65QhCMki4cVfXHlsbThEWNQt/Y+CgAY0AJ77MmUbjmYkOA3qPt4vMr50qroliJjsf1LkRLSYnub1gc9CRLsCZCFzbioCshYKV911PFY6rxTPJcegomKHrGfODuXF2NK0uB4jTF3FTOSN4emT6fUPuNVpKUsq6bphZqUmqlCJ5rZr7P41f4Rxa1EGlRKmjxGyK+vKixtCfOM1+TFoCUgkkfTmigWKRY4YqGoWSFJ3cu5JhjXoExVPEXM5VI4zdBg32qsiRRVFdarjLR5TPyYJ55M1sxTT5McOKSk9WIHB3O1l1YZg6fqh9k8v04dWx6DEdXABiRmKQ4u4i6zVLG7vQMAOEoLVK1KOidLbDAYY0mXmCTLdS6NNRMe0jNsBE7FopVel5NV5Dkx3kidP2dWHCv029QayFZOm1wKvWOWeZskWa4BNaX3Q/3Yv6NwJs5raZ4W/7+sSJKs+4DKil6FXns6bVNwCm5zNC5JHozFswrxQfLnRNe0ZIrteHOEG4+n8dtQkG4Wc85WpbrXc/KBVHlP66F3UD4u5DWGFVtLxz2ktzTQI7WYxf43p9U+JI+zUF1Fmf6bLyTe1GiY3HQ7e1MbK3cK9xw4HA6Hw+HI4J6DFYQAjMYrgkRVPgOrFcLnlMomaCq8VEVUnIF2lsJoPgMAwIgs/E1yCyShqbh91zJDwtSD0hRy/Vq6VRs3xEolm5tCR61EdBZjzJkRMFOAlTPVAct/djzF9DCd84Aeg6NpXuRlYIWZCEvZ40eJvKjcrASIKqDWLJqW/oh9Nqb3YSHPglLMWJFqqLLKiqWR3zAjI14lmZcUU1Jp2ymvVXKjg5GEdyq8wKyEvT2m+wzW2H6x9ckARh7flfyvZtCSS5WdNDTGsGLV7AZeuoydxbTCshvrIKmdUjUxkRum+52WckWYGNIxRaYiNUtFXlYK+4hFb2WhdWd12+jNUunpZqSU3twSGqzRy0XrRbH5xx9J1/jI44ytBnJ2GKyNqMw709EttVjoHrAN8pywDTU5K70EcZ6toj5X2lnD7beuJq/QbD8N9rVJem4aZgFNZ4c2Nk2iuswUUOEys+bBz2yiuDfMPBk2udiR+rcMf9v4Co1l0ARxa/RMydKt8/Ehq1CFuVqlesrLF/I2hOI9ZNpKPGoVwl2IUeeM/96JlXM1+gycYve6W2lQ6YUo7NdjTWU6qnWT0rf1UeJKkh9n+XalRvPwHIa4/tgE61t8tyyTxyvwvVaZKjrfo8ryWapQ3zJb9s8V5drlMVKlcKVMLsQX4HOyAEbspKqTjDp/P/iQLg7FlUgH29tN4/wDH9rHTHrMdwj3HDgcDofD4cjgnoMVxNhhNp+iYyaBYoOluEmwUp5aKrbYT4mjBcHTYjxWPmqyaMaMtc/ELmbCfqVy0Io5krWv8rKKY7eMly5pMohpvb+MiEX51iFnunGWjnF4K+07ZTx2PpX1ouvTRdAithg7+8M0cDhTthpTfa3eoWLB7IcxO2KDHoWWQ0+RxHrE61S8nvsfknU9Vx6zvBQ1PSa0DFoWoBoyLr42SZ6H3YNDPP/8NtubsFbOiUUEICO4v3WydNgxludPDYcNen3GMmfy4jYmJ90NUFNg6YBcg+lB2lbS02VBHWtaQS8/JiSD/GMRYsXK6EWrTA5ZIWOVi+YWLN4yothVbV+kow/5/XRO7Y0qeXEeezJ5Yq6SHyPNjSnLbvcet4BWUtsq+sUxIxEge4b4uRmrlrMuVB4XjRPeuzm9G/QMbGym+/9RUPLbhmZfFEdlb6V7oYGtwjVRZZN1D8wal3Uu7wbjwCrQU3AP9A6QFkNrgkTNihnJyzJJZqXjMO5Nb+BipuvWdryn4ixIbK2w2kuSymnj7SSclc1QZlrYrSqes1LnSbd6CdggiYXYhvrDJMy7/h2zeoyo8tn90dmGXPRF7+pF8QCNJFd/bYTpIr0vhpZcIu2MkF1Xy5SyQHl2SdtLyrvme6Ea831M3YuhvAI8ztow6RxMybsaVi1qeh82xb3SWNJ7k6Q0eXu398g9mZ4gpX1JuOfA4XA4HA5HBvccrCIGYNHAZv6WbV0wyhW3k7zsQip+3bFZ9Jp5DJIlM6Q2wCHVF2cqWWzs3Fh8rrMWiEegCXZkY+YL5dTPMKSXQfHXSJ2Cnb0UQ9vZofUxZawVLBvMcyhHWjKv1UjlcqXVLEa0lozJMl5Yd8CQZsIa2zI2ogY9JPR4rLGc8pCZA0vpPyxyBTOL91oZVGWKKC6ctpusb7Et6fvd7R3LJpHlMpvlVkYXJZebPlemhJh/NpVDxtyHlMCWCttUSmmyak1WdWn3eT6VaESuWGfW2bH49DnNgDJP3syYua2XSvbVa2ksSg58KYa34vqVGNxqIz0BVPMEPQOP30j37hVPXU/bV/SKUNJ1wDi6dATSrZSnJNf9ECtdHjY5a5ZIY3ZhbHVxd6hFoPgqrbvDAypwfojlcUtL1KoldcaAN06JlX8WZHVKGbVMEVEpZ44XFeAquCk1eUbyREnToYt9hox0kpUzv7DiaPrMuLXVR5dXSwXd9Lwoxi41PumqnD6OzvIMXBTHdDD0njym+9B7tfqBv7puZWnjWh4Dvrs4xlrjKpRZDdLPkPWu9SpIlfp1c2vCzaM9QyqP3hp3K405vXPamfgN9Bjy3A3v99pEhevIUQBVUAuVUz0vpjBa9YXksDHhOdPHwxmfF17FNhU/dw5SWyaTMapqBhwnZ1wY7jlwOBwOh8ORwT0Hq4hAN6sQGTy0EqxyFVSyCDXbTwsz0lYm50POHjdoEcsDcDRNcaqFTB4ZjJqm6ZxcoRxbOTE6K8FKHW/xC2opZg2tPDTadHsP5mlmu88aCaQ59NkIFr/kZSmsbzHYoviPxcFp9ZLFPpRVNwyYSNeA+w557JE0ElggZ0hz9pCW9YyxNbG4pVdQMsWtQA/ntyo7LZ7Eiy8mvYhlu7RjWP6vyABFgN4KqaggT5H3LitlQqUzsfhbKaJxAMzFG7F+C5jSUyTLT+NB8UHTxUBeoEs4tweh9Dxw2TTAFapwTtZVpCf3zrRqkyxlFolClQbMhEHYKzcSx+D6IylW2nay7lXAKq/7oCyHtl2ulEkWp4aZNEEZERzfA1lrrF/AN9WAN2UgRc1K3J3Upg9/LNVz2LlJ/XpmEslamyuroW6sfQOWXpfnQE2s6cVYUNXTCjLJQjQNfja1UtxcmgTcTZobKkOt7JjFsucImAcMbEv6b8EsnuMyFzm3wNabvoqyOzT2ucGlDMrb72QZNKF4kZwyFg1m7dfm+em1ArRToUtg50zvDXm56krZW0YU4HbKNNGefDal4dFIo0Qe3X1MaPF3dLn2PJ9cY8KcUFLQ5HMjz8FoRC6KZBEWGl9dtn5/d5tto5do3to7d0op2OEweftG61fSVXC87HxU2XGsbzPe4HN7li7E2XDPgcPhcDgcjgzuOVjBsu2we/MQI1pWqrInTewlFC9WbFL50YxJo7a45GS8znXMCSfLWBPjMWPtmhirOqP0EZStYDNqLWXlMQa5PknW2/p6spyWcZkUtgDEjpaPZUSkQ/RaYrSUl7n3QTNaWTqy/DrVOjYFOcXimf+uuHFdY6hqeeQOSDtiOGK8e8g+pVSiyilPeexRne8X65z5reqFipMrm+OQ2QAHzG9vmoHVjujjlqUbIo9z9sZKrog3GEidT5kWeb2DmDtYLH8edQ0TkTzmACh068tEinPnoMvDkm8vr8nW5hhXb6QxqfLHGnPDUYprKs5dqcInx/vVa8lKe/wTEp+jahj/jqmPj6b7XJ/n5uve1bXqKQQsyY1hV2JEq71mp8/pfdDYorS8wXTtmRs+CKntU3nJ9nPLsFfWE29AMdtgWgnyJMVlzjXBUrUS2EYr2SxPAD83Ks0rKz33LMg6lddE3r4YVyqc2m0rvHS5IWyw8tmqQsnGSSdkQH6Q2jpl8ntZpjv9L7VFXrZ9zuP1du7iv2guEmXz8FvxAsS5qIqxbo9hjWVrpKJjZ0nbxOx6dayek1VwFAqNiapW1lf6rHoGG1fSe2i8xvfqctmXmY/ySkgjgZwRUy2UsqY8cPQwmkdJWS3ig9Hb28orlLabjOQdYOXFWWu/D4jp2RvU6b05m6XPH/j9VI33Dz6U3p+vee0jAIDRaBMh7OJueA7CvSzD+SAhhPAigOt10z94lrpoeT+nuHaLFB6gd3P37iw+lHL7nUI8s+9PI+SoJXJ920PSF8UxD7QGM3+gF3OJdugoJRGpfLD4kBSiLsf21gOoJULvJtcuVodd7s7cfS5RFzX9WOlhi9moHzk5kFu2IOQtV8rslumApyO//hKVPfScVAURV09ON7RriAHLNn8Bn3pOk5TNj3Vp2PwkWN/rXBpDVmI4FjeNfV7zR38wqPPvkb/0ynOelG6psdkTbvPZkP1Q2ffF9VgABcsAAAkcSURBVNipJRZE8iR/XKYsadvlw6WX5VUTQ1gpC3zyKezHT/fTVuuzJkP5A9Df//5cq1B/xbh6PSef87TU1eNq2SK2lufU8boTD3PSShvPd+un4dg7rXxhhlMnQccPpUlwGW5UuPWUAxTv3b6QlSYwPXGzf9+X94B9SQvPqqbrXklevThmOTk4VlxL2awKAXXRnsn+HawQLyfRSvHmu90m2XWNo70FumW8GWO8cXJnnA8+OSBCCO8H8EoAMwC/dZ+b8zDjk7n0e3D/4Pfg/sPvwf3Hg3oPngawG2N85k4O4pODFYQQfhUAYoyfeb/b8rDC78H9h9+D+w+/B/cfD/s9cEKiw+FwOByODD45cDgcDofDkcEnBw6Hw+FwODL45MDhcDgcDkcGnxw4HA6Hw+HI4NkKDofD4XA4MrjnwOFwOBwORwafHDgcDofD4cjgkwOHw+FwOBwZfHLgcDgcDocjg08OHA6Hw+FwZPDJgcPhcDgcjgw+OXA4HA6Hw5HBJwcAQghPhRD+bQjhwyGEWQjh2RDC94cQrt3vtr2cwH6Np/x99JR93hBCeHcI4WYI4TCE8H9DCG8JIdQvdfsfFIQQvjyE8LYQwi+EEHbZvz92xj4X7ucQwpeEEN4TQtgJIeyHEH45hPDmu39FDx4ucg9CCE/f5rmIIYR33OY8bw4h/E/2/w7vx5fcuyt7MBBCuBFC+LoQwn8MIfxuCOGI/fPfQghfG0I48bfPn4Mezf1uwP1GCOETAfwSgMcA/Cek2t1/FMC3AviiEMLnxBhfvI9NfLlhB8D3n7B+v1wRQvhzAP4DgCmAHwdwE8CfBfAvAHwOgK+4d818oPFdAD4DqU8/iL4u/Ym4TD+HEL4JwNsAvAjgxwDMAXw5gLeHED4txvg379bFPKC40D0g/g+Anzhh/a+ftHEI4Z8B+HYe/18DGAL4SgDvCiF8c4zxhy7R7pcLvgLADwP4CICfA/ABAI8D+AsA/g2ALw4hfEVcUQH056BAjPGh/gPw0wAigG8u1v9zrv+R+93Gl8sfgGcBPHvObbcAPAdgBuCzVtaPkSZzEcBX3u9r+nj8A/AmAK8FEAC8kX31Y3ernwE8jfQCfRHA0yvrrwH4Xe7z2fe7Hx6ge/A0v3/7BY7/Bu7zuwCuFcd6kffn6Tu5hgf5D8DnI/2wV8X6J5AmChHAX1xZ789B8fdQhxVCCK8B8IVIP1r/svj67wM4APBVIYT1l7hpjjT7fhTAO2KMv6KVMcYpklUGAH/9fjTs4x0xxp+LMb4v8k11Bi7Tz38VwAjAD8UYn13Z5xaAf8KP33DJ5r8scMF7cBmof/8x+13nfRbpXTYC8DX36Nwf94gx/myM8V0xxq5Y/1EAP8KPb1z5yp+DAg/15ABpdgkA/+WEQbQH4BcBTAD88Ze6YS9jjEIIfyWE8J0hhG8NIbzplHie7s1PnfDdzwM4BPCGEMLonrX04cBl+vl2+/xksY3j/HhFCOHr+Wx8fQjh02+zrd+Dy2PBZbuyzp+DAg875+CTuPydU75/H5Jn4XUAfuYladHLH08A+HfFuveHEL4mxvjelXWn3psYYxtCeD+A1wN4DYDfvCctfThwmX6+3T4fCSEcAHgqhDCJMR7egza/XPEn+WcIIbwHwJtjjB9YWbcO4BMA7McYP3LCcd7H5evuUTsfWIQQGgBfzY+rP+r+HBR42D0HV7jcOeV7rb/6ErTlYcCPAvgCpAnCOoBPA/CvkGJ3PxlC+IyVbf3evDS4TD+fd58rp3zvyHEI4B8B+EykePU1AJ+HRKR7I4CfKUKb/mxcHt8L4FMBvDvG+NMr6/05KPCwTw7OQuDS61rfBcQY/wFjgR+LMR7GGH89xvgNSOTPNQBvvcDh/N68NLhMP/u9uQBijM/FGP9ejPF/xxi3+ffzSF7LXwbwhwB83WUOfVcb+oAjhPAtSNkdvwXgqy66O5cPzXPwsE8OzprZbRXbOe4NRBD63JV1fm9eGlymn8+7z+4dtOuhR4yxRUq7Ay72bJxl0T50CCF8I4AfAPAbAN4UY7xZbOLPQYGHfXLw21yeFpt7LZencRIcdwfPcbnqOj313jBu+AwSoej37m3TXva4TD/fbp8nke7jBx/EOOvHIZ7n0p6NGOMBgA8B2GB/l/D31gpCCG8B8ENIehFvYsZCCX8OCjzsk4Of4/ILS8WsEMImkvDFEYD/8VI37CHDZ3O5+uD9LJdfdML2n4uURfJLMcbZvWzYQ4DL9PPt9vniYhvHnUGZUuUk2O/BORBC+A4kEaNfQ5oYPHfKpv4clLjfQgv3+w8ugvRS9fPrAVw/Yf2rkdjVEcB3rqzfQrKaXATpzvr9jThbBOlC/YxkRb1sxV/uwz34YwCGJ6z/fPZzBPCG4jsXQTq737+bffQrJ717im39OSj+Ai/mocUJ8sm/ifSwvgnJLfeG6PLJd4wQwlsB/B0kb837AewB+EQAfwbpAXw3gD8fY5yv7PNlAN6J9AC+A0nO9EuRUojeCeAvxYd9AJ8A9tuX8eMTAP4UkuX5C1z3QlyRdb1MP4cQvhnADyK9GH8cvWzsUwC+Lz7IsrF3ARe5B0xXfD2A9yBJIQPAp6PPkf/uGOP3nHCO7wPwbdznnUjyyX8ZwA0kY+ehlU9mbYO3A1giyRufxL94Nsb49pV9/DlYxf2enXw8/AF4JVKa3UeQbu7vI5FXbjvb9L8L9fHnAfj3SEzhbSQhkucB/FekvONwyn6fgzRxuIUU4vl/AP4GgPp+X9PH6x9S1ke8zd+zd6OfkeRp34s00TsA8L+QcvLvex/c77+L3AMAXwvgPyMpte4jWa8fQPqx+RNnnOfN7PcD3of3AviS+3399/vvHP0fAbznhP38OeDfQ+85cDgcDofDkeNhJyQ6HA6Hw+Eo4JMDh8PhcDgcGXxy4HA4HA6HI4NPDhwOh8PhcGTwyYHD4XA4HI4MPjlwOBwOh8ORwScHDofD4XA4MvjkwOFwOBwORwafHDgcDofD4cjgkwOHw+FwOBwZfHLgcDgcDocjg08OHA6Hw+FwZPDJgcPhcDgcjgw+OXA4HA6Hw5HBJwcOh8PhcDgy+OTA4XA4HA5HBp8cOBwOh8PhyPD/Aac26OKFRVXbAAAAAElFTkSuQmCC
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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="prompt input_prompt">In&nbsp;[21]:</div>
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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">model</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"># DONE: Implement the code to predict the class from an image file</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">model</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cpu&#39;</span><span class="p">)</span>
        <span class="n">img</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="n">img</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">from_numpy</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">img</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s1">&#39;float&#39;</span><span class="p">))</span>
        <span class="n">img</span> <span class="o">=</span> <span class="n">img</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">img</span> <span class="o">=</span> <span class="n">img</span><span class="o">.</span><span class="n">float</span><span class="p">()</span>
    
        <span class="n">outputs</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">img</span><span class="p">)</span>
        
        <span class="n">probs</span><span class="p">,</span> <span class="n">classes</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">outputs</span><span class="p">)</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="k">return</span> <span class="n">probs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">tolist</span><span class="p">(),</span> <span class="n">classes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
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<div class=" highlight hl-ipython3"><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">img_path</span><span class="p">,</span> <span class="n">model</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>
<span class="n">flowers</span> <span class="o">=</span> <span class="p">[</span><span class="n">cat_to_name</span><span class="p">[</span><span class="nb">str</span><span class="p">(</span><span class="n">x</span><span class="p">)]</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="n">classes</span><span class="p">]</span>
<span class="nb">print</span><span class="p">(</span><span class="n">flowers</span><span class="p">)</span>
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<pre>[0.4676577150821686, 0.2148275077342987, 0.1537758857011795, 0.04916993901133537, 0.033444810658693314]
[1, 88, 85, 50, 77]
[&#39;pink primrose&#39;, &#39;cyclamen&#39;, &#39;desert-rose&#39;, &#39;common dandelion&#39;, &#39;passion flower&#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"># DONE: Display an image along with the top 5 classes</span>

<span class="k">def</span> <span class="nf">display_prediction</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="c1"># Configs</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">4</span><span class="p">,</span><span class="mi">9</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">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="c1"># Prediction results</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="n">flowers</span> <span class="o">=</span> <span class="p">[</span><span class="n">cat_to_name</span><span class="p">[</span><span class="nb">str</span><span class="p">(</span><span class="n">a</span><span class="p">)]</span>  <span class="k">for</span> <span class="n">a</span> <span class="ow">in</span> <span class="n">classes</span><span class="p">]</span>

    <span class="c1"># Flower</span>
    <span class="n">img</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="n">imshow</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">ax</span><span class="p">);</span>

    <span class="c1"># Bar chart</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">sb</span><span class="o">.</span><span class="n">barplot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">probs</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="n">flowers</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="n">sb</span><span class="o">.</span><span class="n">color_palette</span><span class="p">()[</span><span class="mi">0</span><span class="p">]);</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
    
    <span class="k">return</span> <span class="kc">None</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">display_prediction</span><span class="p">(</span><span class="n">img_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
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