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 */
    </style>
<style type="text/css">
    .highlight .hll { background-color: #ffffcc }
.highlight  { background: #f8f8f8; }
.highlight .c { color: #408080; font-style: italic } /* Comment */
.highlight .err { border: 1px solid #FF0000 } /* Error */
.highlight .k { color: #008000; font-weight: bold } /* Keyword */
.highlight .o { color: #666666 } /* Operator */
.highlight .ch { color: #408080; font-style: italic } /* Comment.Hashbang */
.highlight .cm { color: #408080; font-style: italic } /* Comment.Multiline */
.highlight .cp { color: #BC7A00 } /* Comment.Preproc */
.highlight .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */
.highlight .c1 { color: #408080; font-style: italic } /* Comment.Single */
.highlight .cs { color: #408080; font-style: italic } /* Comment.Special */
.highlight .gd { color: #A00000 } /* Generic.Deleted */
.highlight .ge { font-style: italic } /* Generic.Emph */
.highlight .gr { color: #FF0000 } /* Generic.Error */
.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
.highlight .gi { color: #00A000 } /* Generic.Inserted */
.highlight .go { color: #888888 } /* Generic.Output */
.highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
.highlight .gs { font-weight: bold } /* Generic.Strong */
.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
.highlight .gt { color: #0044DD } /* Generic.Traceback */
.highlight .kc { color: #008000; font-weight: bold } /* Keyword.Constant */
.highlight .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */
.highlight .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */
.highlight .kp { color: #008000 } /* Keyword.Pseudo */
.highlight .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */
.highlight .kt { color: #B00040 } /* Keyword.Type */
.highlight .m { color: #666666 } /* Literal.Number */
.highlight .s { color: #BA2121 } /* Literal.String */
.highlight .na { color: #7D9029 } /* Name.Attribute */
.highlight .nb { color: #008000 } /* Name.Builtin */
.highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */
.highlight .no { color: #880000 } /* Name.Constant */
.highlight .nd { color: #AA22FF } /* Name.Decorator */
.highlight .ni { color: #999999; font-weight: bold } /* Name.Entity */
.highlight .ne { color: #D2413A; font-weight: bold } /* Name.Exception */
.highlight .nf { color: #0000FF } /* Name.Function */
.highlight .nl { color: #A0A000 } /* Name.Label */
.highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
.highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */
.highlight .nv { color: #19177C } /* Name.Variable */
.highlight .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */
.highlight .w { color: #bbbbbb } /* Text.Whitespace */
.highlight .mb { color: #666666 } /* Literal.Number.Bin */
.highlight .mf { color: #666666 } /* Literal.Number.Float */
.highlight .mh { color: #666666 } /* Literal.Number.Hex */
.highlight .mi { color: #666666 } /* Literal.Number.Integer */
.highlight .mo { color: #666666 } /* Literal.Number.Oct */
.highlight .sa { color: #BA2121 } /* Literal.String.Affix */
.highlight .sb { color: #BA2121 } /* Literal.String.Backtick */
.highlight .sc { color: #BA2121 } /* Literal.String.Char */
.highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */
.highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */
.highlight .s2 { color: #BA2121 } /* Literal.String.Double */
.highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */
.highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */
.highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */
.highlight .sx { color: #008000 } /* Literal.String.Other */
.highlight .sr { color: #BB6688 } /* Literal.String.Regex */
.highlight .s1 { color: #BA2121 } /* Literal.String.Single */
.highlight .ss { color: #19177C } /* Literal.String.Symbol */
.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
.highlight .fm { color: #0000FF } /* Name.Function.Magic */
.highlight .vc { color: #19177C } /* Name.Variable.Class */
.highlight .vg { color: #19177C } /* Name.Variable.Global */
.highlight .vi { color: #19177C } /* Name.Variable.Instance */
.highlight .vm { color: #19177C } /* Name.Variable.Magic */
.highlight .il { color: #666666 } /* Literal.Number.Integer.Long */
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<style type="text/css">
    
/* Temporary definitions which will become obsolete with Notebook release 5.0 */
.ansi-black-fg { color: #3E424D; }
.ansi-black-bg { background-color: #3E424D; }
.ansi-black-intense-fg { color: #282C36; }
.ansi-black-intense-bg { background-color: #282C36; }
.ansi-red-fg { color: #E75C58; }
.ansi-red-bg { background-color: #E75C58; }
.ansi-red-intense-fg { color: #B22B31; }
.ansi-red-intense-bg { background-color: #B22B31; }
.ansi-green-fg { color: #00A250; }
.ansi-green-bg { background-color: #00A250; }
.ansi-green-intense-fg { color: #007427; }
.ansi-green-intense-bg { background-color: #007427; }
.ansi-yellow-fg { color: #DDB62B; }
.ansi-yellow-bg { background-color: #DDB62B; }
.ansi-yellow-intense-fg { color: #B27D12; }
.ansi-yellow-intense-bg { background-color: #B27D12; }
.ansi-blue-fg { color: #208FFB; }
.ansi-blue-bg { background-color: #208FFB; }
.ansi-blue-intense-fg { color: #0065CA; }
.ansi-blue-intense-bg { background-color: #0065CA; }
.ansi-magenta-fg { color: #D160C4; }
.ansi-magenta-bg { background-color: #D160C4; }
.ansi-magenta-intense-fg { color: #A03196; }
.ansi-magenta-intense-bg { background-color: #A03196; }
.ansi-cyan-fg { color: #60C6C8; }
.ansi-cyan-bg { background-color: #60C6C8; }
.ansi-cyan-intense-fg { color: #258F8F; }
.ansi-cyan-intense-bg { background-color: #258F8F; }
.ansi-white-fg { color: #C5C1B4; }
.ansi-white-bg { background-color: #C5C1B4; }
.ansi-white-intense-fg { color: #A1A6B2; }
.ansi-white-intense-bg { background-color: #A1A6B2; }

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

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

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Imports here</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>

<span class="kn">from</span> <span class="nn">workspace_utils</span> <span class="k">import</span> <span class="n">active_session</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="p">,</span> <span class="n">models</span>
<span class="kn">from</span> <span class="nn">collections</span> <span class="k">import</span> <span class="n">OrderedDict</span>
<span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</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;
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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>.</p>

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<p>If you do not find the <code>flowers/</code> dataset in the current directory, <strong>/workspace/home/aipnd-project/</strong>, you can download it using the following commands.</p>
<div class="highlight"><pre><span></span>!wget <span class="s1">&#39;https://s3.amazonaws.com/content.udacity-data.com/nd089/flower_data.tar.gz&#39;</span>
!unlink flowers
!mkdir flowers <span class="o">&amp;&amp;</span> tar -xzf flower_data.tar.gz -C flowers
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<h2 id="Data-Description">Data Description<a class="anchor-link" href="#Data-Description">&#182;</a></h2><p>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"># Defining transforms for the training, validation, and testing sets</span>
<span class="n">train_transforms</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">RandomRotation</span><span class="p">(</span><span class="mi">30</span><span class="p">),</span>
                                       <span class="n">transforms</span><span class="o">.</span><span class="n">RandomResizedCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span>
                                       <span class="n">transforms</span><span class="o">.</span><span class="n">RandomHorizontalFlip</span><span class="p">(),</span>
                                       <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                       <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">],</span>
                                                            <span class="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])])</span>

<span class="n">valid_transforms</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">Resize</span><span class="p">(</span><span class="mi">256</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">CenterCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">],</span>
                                                           <span class="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])])</span> 

<span class="n">test_transforms</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">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="c1">#Loading the datasets with ImageFolder</span>
<span class="n">train_data</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">train_dir</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">train_transforms</span><span class="p">)</span>
<span class="n">valid_data</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">valid_dir</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">valid_transforms</span><span class="p">)</span>
<span class="n">test_data</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">test_dir</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">test_transforms</span><span class="p">)</span>


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

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

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

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Build and train your network</span>
<span class="c1"># Using GPU if it&#39;s available</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&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="c1"># Dowinloading vgg19</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">models</span><span class="o">.</span><span class="n">vgg19</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="nb">print</span><span class="p">(</span><span class="n">model</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): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (17): ReLU(inplace)
    (18): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (19): Conv2d(256, 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): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (24): ReLU(inplace)
    (25): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (26): ReLU(inplace)
    (27): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (28): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (29): ReLU(inplace)
    (30): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (31): ReLU(inplace)
    (32): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (33): ReLU(inplace)
    (34): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (35): ReLU(inplace)
    (36): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): Sequential(
    (0): Linear(in_features=25088, out_features=4096, bias=True)
    (1): ReLU(inplace)
    (2): Dropout(p=0.5)
    (3): Linear(in_features=4096, out_features=4096, bias=True)
    (4): ReLU(inplace)
    (5): Dropout(p=0.5)
    (6): Linear(in_features=4096, out_features=1000, bias=True)
  )
)
</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Freezeing parameters so we don&#39;t backprop through them</span>
<span class="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">():</span>
    <span class="n">param</span><span class="o">.</span><span class="n">requires_grad</span> <span class="o">=</span> <span class="kc">False</span>

<span class="n">classifier</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Sequential</span><span class="p">(</span>
    <span class="n">OrderedDict</span><span class="p">([</span>
        <span class="p">(</span><span class="s1">&#39;fc1&#39;</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="mi">25088</span><span class="p">,</span> <span class="mi">4096</span><span class="p">)),</span>
        <span class="p">(</span><span class="s1">&#39;relu&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">()),</span>
        <span class="p">(</span><span class="s1">&#39;dropout&#39;</span><span class="p">,</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="mf">0.2</span><span class="p">)),</span>
        <span class="p">(</span><span class="s1">&#39;fc2&#39;</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="mi">4096</span><span class="p">,</span> <span class="mi">256</span><span class="p">)),</span>
        <span class="p">(</span><span class="s1">&#39;relu&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">()),</span>
        <span class="p">(</span><span class="s1">&#39;dropout&#39;</span><span class="p">,</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="mf">0.2</span><span class="p">)),</span>
        <span class="p">(</span><span class="s1">&#39;fc3&#39;</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="mi">256</span><span class="p">,</span> <span class="mi">102</span><span class="p">)),</span>
        <span class="p">(</span><span class="s1">&#39;output&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">LogSoftmax</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="p">])</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">classifier</span>
<span class="n">model</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): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (17): ReLU(inplace)
    (18): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (19): Conv2d(256, 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): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (24): ReLU(inplace)
    (25): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (26): ReLU(inplace)
    (27): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (28): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (29): ReLU(inplace)
    (30): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (31): ReLU(inplace)
    (32): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (33): ReLU(inplace)
    (34): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (35): ReLU(inplace)
    (36): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): Sequential(
    (fc1): Linear(in_features=25088, out_features=4096, bias=True)
    (relu): ReLU()
    (dropout): Dropout(p=0.2)
    (fc2): Linear(in_features=4096, out_features=256, bias=True)
    (fc3): Linear(in_features=256, out_features=102, bias=True)
    (output): LogSoftmax()
  )
)</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Defining loss function</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="c1"># Setting optimizer and learning rate</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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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Model training</span>
<span class="n">epochs</span> <span class="o">=</span> <span class="mi">2</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">10</span>
<span class="k">for</span> <span class="n">epoch</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">epochs</span><span class="p">):</span>
    <span class="k">for</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">trainloader</span><span class="p">:</span>
        <span class="n">steps</span> <span class="o">+=</span> <span class="mi">1</span>
        <span class="c1"># Moving input and label tensors to the default 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="n">logps</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>
        <span class="n">loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">logps</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>

        <span class="n">optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span>
        <span class="n">loss</span><span class="o">.</span><span class="n">backward</span><span class="p">()</span>
        <span class="n">optimizer</span><span class="o">.</span><span class="n">step</span><span class="p">()</span>

        <span class="n">running_loss</span> <span class="o">+=</span> <span class="n">loss</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>

        <span class="k">if</span> <span class="n">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="n">valid_loss</span> <span class="o">=</span> <span class="mi">0</span>
            <span class="n">accuracy</span> <span class="o">=</span> <span class="mi">0</span>
            <span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
            <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
                <span class="k">for</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">validloader</span><span class="p">:</span>
                    <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">inputs</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
                    <span class="n">logps</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>
                    <span class="n">valid_loss</span> <span class="o">+=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">logps</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>

                    <span class="c1">#valid_loss += batch_loss.item()</span>

                    <span class="c1"># Calculating accuracy</span>
                    <span class="n">ps</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">logps</span><span class="p">)</span>
                    <span class="n">top_p</span><span class="p">,</span> <span class="n">top_class</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
                    <span class="n">equals</span> <span class="o">=</span> <span class="n">top_class</span> <span class="o">==</span> <span class="n">labels</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">*</span><span class="n">top_class</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
                    <span class="n">accuracy</span> <span class="o">+=</span> <span class="n">torch</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">equals</span><span class="o">.</span><span class="n">type</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">FloatTensor</span><span class="p">))</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>

            <span class="nb">print</span><span class="p">(</span><span class="n">f</span><span class="s2">&quot;Epoch {epoch+1}/</span><span class="si">{epochs}</span><span class="s2">.. &quot;</span>
                  <span class="n">f</span><span class="s2">&quot;Train loss: {running_loss/print_every:.3f}.. &quot;</span>
                  <span class="n">f</span><span class="s2">&quot;Valid loss: {valid_loss/len(validloader):.3f}.. &quot;</span>
                  <span class="n">f</span><span class="s2">&quot;Valid accuracy: {accuracy/len(validloader):.3f}&quot;</span><span class="p">)</span>
            <span class="n">running_loss</span> <span class="o">=</span> <span class="mi">0</span>
            <span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
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<pre>Epoch 1/2.. Train loss: 2.731.. Valid loss: 2.271.. Valid accuracy: 0.445
Epoch 1/2.. Train loss: 2.514.. Valid loss: 1.846.. Valid accuracy: 0.524
Epoch 1/2.. Train loss: 2.321.. Valid loss: 1.608.. Valid accuracy: 0.597
Epoch 1/2.. Train loss: 1.896.. Valid loss: 1.497.. Valid accuracy: 0.611
Epoch 1/2.. Train loss: 1.912.. Valid loss: 1.355.. Valid accuracy: 0.645
Epoch 1/2.. Train loss: 1.702.. Valid loss: 1.182.. Valid accuracy: 0.683
Epoch 1/2.. Train loss: 1.456.. Valid loss: 1.052.. Valid accuracy: 0.708
Epoch 1/2.. Train loss: 1.502.. Valid loss: 1.029.. Valid accuracy: 0.731
Epoch 1/2.. Train loss: 1.530.. Valid loss: 0.987.. Valid accuracy: 0.714
Epoch 1/2.. Train loss: 1.489.. Valid loss: 1.021.. Valid accuracy: 0.713
Epoch 2/2.. Train loss: 1.456.. Valid loss: 1.013.. Valid accuracy: 0.716
Epoch 2/2.. Train loss: 1.363.. Valid loss: 0.886.. Valid accuracy: 0.757
Epoch 2/2.. Train loss: 1.217.. Valid loss: 0.934.. Valid accuracy: 0.737
Epoch 2/2.. Train loss: 1.440.. Valid loss: 0.913.. Valid accuracy: 0.747
Epoch 2/2.. Train loss: 1.177.. Valid loss: 0.873.. Valid accuracy: 0.757
Epoch 2/2.. Train loss: 1.256.. Valid loss: 0.805.. Valid accuracy: 0.762
Epoch 2/2.. Train loss: 1.430.. Valid loss: 0.750.. Valid accuracy: 0.791
Epoch 2/2.. Train loss: 1.218.. Valid loss: 0.698.. Valid accuracy: 0.805
Epoch 2/2.. Train loss: 1.110.. Valid loss: 0.744.. Valid accuracy: 0.782
Epoch 2/2.. Train loss: 1.200.. Valid loss: 0.758.. Valid accuracy: 0.782
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<h2 id="Testing-your-network">Testing your network<a class="anchor-link" href="#Testing-your-network">&#182;</a></h2><p>It's good practice to test your trained network on test data, images the network has never seen either in training or validation. This will give you a good estimate for the model's performance on completely new images. Run the test images through the network and measure the accuracy, the same way you did validation. You should be able to reach around 70% accuracy on the test set if the model has been trained well.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Do validation on the test set</span>
<span class="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="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
<span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
    <span class="k">for</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">testloader</span><span class="p">:</span>
        <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">inputs</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
        <span class="n">logps</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>
        <span class="n">batch_loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">logps</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
                    
        <span class="n">test_loss</span> <span class="o">+=</span> <span class="n">batch_loss</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
                    
        <span class="c1"># Calculating accuracy</span>
        <span class="n">ps</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">logps</span><span class="p">)</span>
        <span class="n">top_p</span><span class="p">,</span> <span class="n">top_class</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
        <span class="n">equals</span> <span class="o">=</span> <span class="n">top_class</span> <span class="o">==</span> <span class="n">labels</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">*</span><span class="n">top_class</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
        <span class="n">accuracy</span> <span class="o">+=</span> <span class="n">torch</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">equals</span><span class="o">.</span><span class="n">type</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">FloatTensor</span><span class="p">))</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
                    
    <span class="nb">print</span><span class="p">(</span><span class="n">f</span><span class="s2">&quot;Test loss: {test_loss/len(testloader):.3f}.. &quot;</span>
          <span class="n">f</span><span class="s2">&quot;Test accuracy: {accuracy/len(testloader):.3f}&quot;</span><span class="p">)</span>
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<pre>Test loss: 0.816.. Test accuracy: 0.764
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<h2 id="Save-the-checkpoint">Save the checkpoint<a class="anchor-link" href="#Save-the-checkpoint">&#182;</a></h2><p>Now that your network is trained, save the model so you can load it later for making predictions. You probably want to save other things such as the mapping of classes to indices which you get from one of the image datasets: <code>image_datasets['train'].class_to_idx</code>. You can attach this to the model as an attribute which makes inference easier later on.</p>
<p><code>model.class_to_idx = image_datasets['train'].class_to_idx</code></p>
<p>Remember that you'll want to completely rebuild the model later so you can use it for inference. Make sure to include any information you need in the checkpoint. If you want to load the model and keep training, you'll want to save the number of epochs as well as the optimizer state, <code>optimizer.state_dict</code>. You'll likely want to use this trained model in the next part of the project, so best to save it now.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Save the checkpoint </span>
<span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span> <span class="o">=</span> <span class="n">train_data</span><span class="o">.</span><span class="n">class_to_idx</span>
<span class="n">checkpoint</span> <span class="o">=</span> <span class="p">{</span>
    <span class="s1">&#39;input_size&#39;</span><span class="p">:</span> <span class="mi">25088</span><span class="p">,</span>
    <span class="s1">&#39;output_size&#39;</span><span class="p">:</span> <span class="mi">102</span><span class="p">,</span>
    <span class="s1">&#39;epochs&#39;</span><span class="p">:</span> <span class="n">epochs</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;optimizer&#39;</span><span class="p">:</span> <span class="n">optimizer</span><span class="o">.</span><span class="n">state_dict</span><span class="p">(),</span>
    <span class="s1">&#39;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="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="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="s1">&#39;checkpoint.pth&#39;</span><span class="p">)</span>
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<h2 id="Loading-the-checkpoint">Loading the checkpoint<a class="anchor-link" href="#Loading-the-checkpoint">&#182;</a></h2><p>At this point it's good to write a function that can load a checkpoint and rebuild the model. That way you can come back to this project and keep working on it without having to retrain the network.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Write a function that loads a checkpoint and rebuilds the model</span>
<span class="k">def</span> <span class="nf">model_checkpoint</span><span class="p">(</span><span class="n">filepath</span><span class="p">):</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">filepath</span><span class="p">)</span>
    <span class="n">model</span> <span class="o">=</span> <span class="n">models</span><span class="o">.</span><span class="n">vgg19</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="c1"># Freezing parameters</span>
    <span class="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">():</span>
        <span class="n">param</span><span class="o">.</span><span class="n">requires_grad</span> <span class="o">=</span> <span class="kc">False</span>
    
    <span class="n">model</span><span class="o">.</span><span class="n">classifier</span> <span class="o">=</span> <span class="n">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">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="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;state_dict&#39;</span><span class="p">])</span>
    
    <span class="k">return</span> <span class="n">model</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#loading saved model</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">model_checkpoint</span><span class="p">(</span><span class="s1">&#39;checkpoint.pth&#39;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">model</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): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (17): ReLU(inplace)
    (18): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (19): Conv2d(256, 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): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (24): ReLU(inplace)
    (25): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (26): ReLU(inplace)
    (27): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (28): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (29): ReLU(inplace)
    (30): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (31): ReLU(inplace)
    (32): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (33): ReLU(inplace)
    (34): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (35): ReLU(inplace)
    (36): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): Sequential(
    (fc1): Linear(in_features=25088, out_features=4096, bias=True)
    (relu): ReLU()
    (dropout): Dropout(p=0.2)
    (fc2): Linear(in_features=4096, out_features=256, bias=True)
    (fc3): Linear(in_features=256, out_features=102, bias=True)
    (output): LogSoftmax()
  )
)
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<h1 id="Inference-for-classification">Inference for classification<a class="anchor-link" href="#Inference-for-classification">&#182;</a></h1><p>Now you'll write a function to use a trained network for inference. That is, you'll pass an image into the network and predict the class of the flower in the image. Write a function called <code>predict</code> that takes an image and a model, then returns the top $K$ most likely classes along with the probabilities. It should look like</p>
<div class="highlight"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
<span class="o">&gt;</span> <span class="p">[</span> <span class="mf">0.01558163</span>  <span class="mf">0.01541934</span>  <span class="mf">0.01452626</span>  <span class="mf">0.01443549</span>  <span class="mf">0.01407339</span><span class="p">]</span>
<span class="o">&gt;</span> <span class="p">[</span><span class="s1">&#39;70&#39;</span><span class="p">,</span> <span class="s1">&#39;3&#39;</span><span class="p">,</span> <span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="s1">&#39;62&#39;</span><span class="p">,</span> <span class="s1">&#39;55&#39;</span><span class="p">]</span>
</pre></div>
<p>First you'll need to handle processing the input image such that it can be used in your network.</p>
<h2 id="Image-Preprocessing">Image Preprocessing<a class="anchor-link" href="#Image-Preprocessing">&#182;</a></h2><p>You'll want to use <code>PIL</code> to load the image (<a href="https://pillow.readthedocs.io/en/latest/reference/Image.html">documentation</a>). It's best to write a function that preprocesses the image so it can be used as input for the model. This function should process the images in the same manner used for training.</p>
<p>First, resize the images where the shortest side is 256 pixels, keeping the aspect ratio. This can be done with the <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>thumbnail</code></a> or <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>resize</code></a> methods. Then you'll need to crop out the center 224x224 portion of the image.</p>
<p>Color channels of images are typically encoded as integers 0-255, but the model expected floats 0-1. You'll need to convert the values. It's easiest with a Numpy array, which you can get from a PIL image like so <code>np_image = np.array(pil_image)</code>.</p>
<p>As before, the network expects the images to be normalized in a specific way. For the means, it's <code>[0.485, 0.456, 0.406]</code> and for the standard deviations <code>[0.229, 0.224, 0.225]</code>. You'll want to subtract the means from each color channel, then divide by the standard deviation.</p>
<p>And finally, PyTorch expects the color channel to be the first dimension but it's the third dimension in the PIL image and Numpy array. You can reorder dimensions using <a href="https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.ndarray.transpose.html"><code>ndarray.transpose</code></a>. The color channel needs to be first and retain the order of the other two dimensions.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">process_image</span><span class="p">(</span><span class="n">image</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39; Scales, crops, and normalizes a PIL image for a PyTorch model,</span>
<span class="sd">        returns a PyTorch tensor</span>
<span class="sd">    &#39;&#39;&#39;</span>
    
    <span class="c1"># Opening the image using PIL</span>
    <span class="n">pil_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">image</span><span class="p">)</span>
    
    <span class="c1"># Defining the image transformation pipeline</span>
    <span class="n">image_transforms</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span>
        <span class="n">transforms</span><span class="o">.</span><span class="n">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="n">mean</span><span class="o">=</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="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])</span>
    <span class="p">])</span>
    
    <span class="c1"># Applying the transform to the image</span>
    <span class="n">tensor_image</span> <span class="o">=</span> <span class="n">image_transforms</span><span class="p">(</span><span class="n">pil_image</span><span class="p">)</span>
    
    <span class="k">return</span> <span class="n">tensor_image</span>
    <span class="c1"># TODO: Process a PIL image for use in a PyTorch model</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"># adjusting dimensions</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span><span class="o">.</span><span class="n">transpose</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</span>
    
    <span class="c1"># Undoing 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"># clipping the image </span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">clip</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
    
    <span class="n">ax</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    
    <span class="k">return</span> <span class="n">ax</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Testing the function</span>
<span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="nb">next</span><span class="p">(</span><span class="nb">iter</span><span class="p">(</span><span class="n">testloader</span><span class="p">))</span>
<span class="n">imshow</span><span class="p">(</span><span class="n">images</span><span class="p">[</span><span class="mi">10</span><span class="p">]);</span>
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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;[17]:</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">#moving model to device</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">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>

    <span class="c1"># Converting 2D image to 1D vector</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">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="c1"># Calculating the class probabilities (softmax) for img</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">logps</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">img</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">probs</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">logps</span><span class="p">)</span>
    <span class="n">top_p</span><span class="p">,</span> <span class="n">top_class</span> <span class="o">=</span> <span class="n">probs</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="n">topk</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>

    <span class="k">return</span> <span class="n">top_p</span><span class="p">,</span> <span class="n">top_class</span>
    <span class="c1"># TODO: Implement the code to predict the class from an image file</span>
</pre></div>

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<h2 id="Sanity-Checking">Sanity Checking<a class="anchor-link" href="#Sanity-Checking">&#182;</a></h2><p>Now that you can use a trained model for predictions, check to make sure it makes sense. Even if the testing accuracy is high, it's always good to check that there aren't obvious bugs. Use <code>matplotlib</code> to plot the probabilities for the top 5 classes as a bar graph, along with the input image. It should look like this:</p>
<p><img src='assets/inference_example.png' width=300px></p>
<p>You can convert from the class integer encoding to actual flower names with the <code>cat_to_name.json</code> file (should have been loaded earlier in the notebook). To show a PyTorch tensor as an image, use the <code>imshow</code> function defined above.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Display an image along with the top 5 classes</span>
<span class="c1">#Defining axis and figure size</span>
<span class="n">fig</span><span class="p">,</span> <span class="p">(</span><span class="n">ax1</span><span class="p">,</span> <span class="n">ax2</span><span class="p">)</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="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span> <span class="mi">12</span><span class="p">))</span>

<span class="n">image_path</span> <span class="o">=</span> <span class="s2">&quot;flowers/test/43/image_02394.jpg&quot;</span>
<span class="n">image_pros</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">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">image_labels</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">i</span><span class="p">)]</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">classes</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span><span class="o">.</span><span class="n">tolist</span><span class="p">()[</span><span class="mi">0</span><span class="p">]]</span>

<span class="c1"># Displaying predicted image</span>
<span class="n">imshow</span><span class="p">(</span><span class="n">image_pros</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax1</span><span class="p">)</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="n">image_labels</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>

<span class="c1"># Plotting prediction probability</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">barh</span><span class="p">(</span><span class="n">image_labels</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">probs</span><span class="p">[</span><span class="mi">0</span><span class="p">]))</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">&#39;Prediction Probability&#39;</span><span class="p">)</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">invert_yaxis</span><span class="p">();</span>
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cMvbnp9Lh/qTcVzQE7Hi3iRxpUlHQ/n+pb7EX2USpdpaMJoW35JlHx54qQJpWnD2MxpPsmc5t+24brlnPruIlyjZ6XlbyT91tFLJvXdpeTpaN7yNJ7bKswhR7ODLm66VCb6UhZv2ozHBi3YSJu0rd5TQXUS39czHltx4aegeXGi7ehlcNQ8Bj31o1YWHCrq2wd6/+1+WAjYP9D7OKQP/XxrI6SzTYs8E70+zvczWlRcUJPG7lVSnY5obGRLaRPqJ43kz9MGP7P1A6r/bAeASsZzttRrigX1rWmY264tdbw+vtBnxR8ehDnoyojG87qWv5C+V4Dzp48ZKbjLaJEk1/eL8STcKz3+4eV6T7fpeQFQFoR4juKFo1r69sFU27Gij6nYtzayAvsf13s9ibAPKMNJRRz9d7SNeO/fOZhAsEy9oztPVpMcv7gnL4ftrVHJi38WJ8FSi7S9qx9QeRmO79GLtV5LD2eyBrWNvPDQF4Lz+kLarThTkXm1KS4s5bTCxFaSWiwPND/esmIdCzLw1QR63x0yiwHQ9+W+5eGOLbdqFb1bzaMXy8SAFuoqS2Y/3zt+dKj1+HM//ZEufG4rfIw89JBapcpWH+oe8eWKlPTzkP76SM+bO/1YKl144R21/PDUy2OLLPgliy07cl1OL0zbi0kXfuPZ+wAAb75PP6BOj9Sysr4R7skX9JI10pejtgrhcrzZxS2nWv7lQu4r0/trGllRppePnMPxA4marubV0YEV44wWKVwe+74mwC/xI7GqZdSfbx7px0RdysuP5ogRfVi89a2fCQC47/4HurhyXY/vxBVxt93FHcmL8YzabqHZYzSSxZix5rp1Rj9G2jx8tFbLwy5ufaT3HF+sm0r75oge4/NZOO5mmil9HyGLL/QtfbRmAy9niVGQPhPkw8XTi2kjg5hf1kt6CY8fYKkFisJN8iPZ04f0gHUzo37UutjPaD4gK0YcJzlZhJNFeBk7vqaXQPqSjnNrntOHQ3whpZf5uiWrofRtanrUFX9Mycd/3v9QBIBSPs22S+1vo0ob8mAeXl6nC/1Q5g/IOCRKSh/0kh0/lhLrnyzSOPrQ9NSO8qiBpzE4rjT99Vqs2FOtk+kN/QBcyoJDPtK3+XPndI5s1kJa01KvP8zV+ppX8oFHnXNMHxZFtJDxs5K7WVz/pI82fT7yAhz1I+lb/NHFLIHueNZf+AkJh7TGhd7zWqXhUsaM46bhR6VkxRZHR+H4zsHf0ZxAnA+zmpkN8tGYXMNfU+EnpwXInMZDU8fr9Zqc8hxJm2yMxjjkej2BMBU+w2sV0SSys+L49i3nGQwGg8FgMBgMLxpmgTK8VvGo/L5lxfHPkN9Ve6SOCd/ZuiOHO1mtYtN6XMGj4zmvispyRUsrfJtn9Ptv0YQV/arWlf24us4U6Zq2RWWRQkGrvxn0hLjCmTPLiUpflLLfhzKoFrrq105lDdUPUxjQN/YkbLrBqwb2hQ2tuiUYWrxOmmFgpYs5gAntUlbOaNnP0epv09GsNO65x9Ui8Ms/94cAgK/4yvd0cXfffa4Lr22EthgXyh5tZS16OlbaQ1EqVXMyClaIMVMxKm3HA1mRZxZUQ/uZxk1o542FrgifzrRv3XP6HgDA5mkt03islo9Ig1s6XTOfU/1MN0NdHiar6LT6G1crl7T6O499R+/DkTUFsp8nXbHNKBj3njBVkzpypHYxvYZW3NdkffDGDaXD3ay0zg/ysCK+3ur1b1jTFfEHzj8YkiTLRUX7kXZ2g4VvvKvt8Oy1YEFaNESZpfL7Uai/YkfHeD3RVfqjNlAkmwlbM2h1u+qba5h+M5+HdFtaUc5pxTuLK+4l70sjS+3AvrSiZeu20PHqgf04bKmidmwbsUy0wxao7sxknwVZQWL9UTtXyeCP13Hf4plHVuF5n0qydhzKXVM7EasU3UI8XV+O5BqaN5uF9vNWVvxL6q850Zi9mEayOT8/qM7luqxUKzLTqEZlYC5M1rUfHRBNLIZbsggXnu1hodwlzSFZtNjSGGqoTiMtsqC9k+dqtUifaUNZLx5c6OLmjVZkfjo8q8a7RP8siO1Qx7mR9u9Rn4kWsJYtREk/jRfpXTJNLR6OlmcAcL7/MMmSZ3q0TlJ/5+kqj5Z/ttQRQ0QYA57G40am9bspY2bU0BxD1qJWnlvpFqb+A7KlOZStUdFa1lB3j8+/hiyu4H2cbcyG2r7W8nWjLXnOawYjoUDW83nH2jmpMAuU4bWKyKn6gEs4dYgy5u8BMAPwu5/ughkMBoPBYDAYTi7sA8rwmoT3/gkAv4Igk/l3bjn8jwBsAPhx8wFlMBgMBoPBYHgpYRQ+w2sZfxvA7wD4AefcFwP4KIB3AXg/AnXvv3rxWThAzPNxY3PKDOONu1HlhzZfDlDLNjaUwrCzq5Sq/f1A/+HNwEUnW6zmdE/HO0EI5iowDWqA2ZYxBSKPG7xJIWqptIuoUsQUvVucboV0kjim4rjkvJAASx4NaVVL2VbuP42UHKJisLx2pEpyWolyUbyINpoTxaLt5HapTij9x558EgDwZ4/d3cXde/+7u/D6OFBZXNtXpFs0qug6rVTRLlI8ZkTbWxDNaiH5N1yPNQlO1KEdN51Sft6wq7TCnY1A+SlIJa9dUyrJQup0SVSQitqp27TP9BhqIFeKslPNg0MoelS3DSkq+O44C2PQ5dI3HVG72kRLGr3rWZEvlu/5S0opms51030t1DcWuSjp+qOjsPayMVOa1OaZs114LHL2XCYnTVotleqXlURZykKekzWm7Og2zeU0JJB7vd6TKEyk9Ga0EX8+1eOTSehnkxErstF4diIywSp0zO/pVMeGlRMj1adJxniov4I2nfMQz7s5cmAMQtvcDwgahMJkyXnArQqc8V4p/4G1YWYQ8nzXdko6dG7SEYWGRXN9I50vB6kNsky50KQSAZWS7l/6LAtrtDSfHXbtxDRjuiehgY+gtL7ddR37a02g1s0W2nebRV9dbsyuDGI7Un8YE52vXYa2zxZa5p2J5r8UYZOr+yrUsraz0YU3ToUyLYmmPGu0n9fxWUfPzGzABUCiuE13FKdrdg+RkEaLKCai9xRdhjC9lOe1yHpkufVm4GHF3aUgin4mqpwZU2pJu7GIAijc4fhZFGXIWbWSxR2k76cq5CyeFA7UTFdHpPCRSw167sQXHN8QRZvuKSpkJkIutG2gksLUTXWLJPzJg1mgDK9ZiBXqcwB8GOHD6e8DeBOAHwDwF73311ZfbTAYDAaDwWAwfPIwC5ThNQ3v/bMA/tNXuhwGg8FgMBgMhtcH7APKYPgkkbKI2HgvlCOOS2gjIX59U2kNbI6/cSNSHzjNYC5n534tmfsjRYTjEqGyQR5c36El39OSaVbRuSJdwXkpm2FYpa+j0iQqe+zrp7klHQyqDDFiWdgfhksoDB3vYQX6LsI4x1hnOdMm6YTDRaCq/OljT3Vxn//ed3Xh9c2R5NI38K+R36/NmdI3K/HrMl8qJaYiCl8jvoxycuY5IcW77Trk+eDOXV3cw2fe2IU7Ct+aUviadb2/mdBvFnOle03npMYo6m+JWqEj31dCP2L/OdEHSUP9pVose9ewRBT7W8nFwWw2ZqemRNWUdmwzTd9T+EjyukyOqYmV0pUrz4Yfg4XQl86d0zrd3FGfT4j+aojfM94M9esWuvXSQ2lU47VQ5tJp3R7NlfKUL/Z71zindVZI/TpSTxttaJ8ptiRMinizqdIW98UPVs3Oi9kJZudLh8c4tQn6TqwjnY8pPatoVnoNK+IJmJrMYzsO7sQHGNGkpJ1IIFKpx1QY9l+U0OFi9oNSnxp2NFd3/nlIFpMpT13fp3Iwtaqbolh5kP2hyf3xVMm+ADshUVKIzCivNaH2bU50vimIbtexBanS6lnokzn7wyIHsV4ctG9vqvLe3g2lIV+5HpymFlvku2pH85zKfMGOeNuS6kxz0nvie47tmCjr9fuRz1e0Y+zb3PSSJvfHxOeTzBFMZ26bhN/Zy8flTNuUvpMoWdLlos7qyJ9YRs/6TOYmt6ofRJVAvimmhXZxdFjy5DmgXRKFT541nrzv1kQZzqKTa+rPTNNWVU43OPZPEozCZzAYDAaDwWAwGAzHhFmgDIbbwnUmnVvU0gW0qnjLb/hHj5eyonP69GkMIYo3pPnIRvvEAkUiE8XtPX3HlSvezJkn/ntkNYlWT5e06th2/i/0eL90ty1BL2b4mv6SdcHWM16x9unvimySJFvy15INbTCnUmViEalbXZVbsuVCNo4/+/zVLu6jjz3Thb/wCz4HAJDntEInzrsmW2p93JlqP/DTICQwX6rl4YhWPXMpygZV3i6JVJx3Id1Hdu/v4t54/g168kZo5wVt4GbtgKlkwJu6DxdquYhWSV6l55XeJo/CG2q97NydsDFgSau7skrvKvJ5RP5WsiiYQO6FUmuJ3AD1k4b8WB0ugu+u/bn6WWILVV6I9ZaEL86fV2GQh970ZgBAOdHN+TWvBI+jXxzym3MjjOG20L4zmujq7ab4CKsbLVM9v96Fxy60f8b+wMjyUbdxV7vGlYX2A0jfzHKN4wX5ehn6Wc0Dhnxz5VKXTcMr+1xnYgHjFW8pKos0tDRfxbcMvo9EmEIGck716ApqdMRVdmpn9g8kv2xFZ2tY3PTf0ryaJcIksfx9SxygfT4RvqjEekn1ULA4ge/7OGOrWkzLJXWmYV/3nzk8b7kmCunoNevUT+Px6kitDNHCBABLCS9J7KSNAiHkaJDDcUKdTnWOWrCldD2Ub3NHrV4VzbvRf1NigaLO6eP9sThQYpUUJI6OqHiSfkaCB8kzQOZT7kfRis0WKM99P9b/Cn2T+DRk31EtiTNEkYoF1WPV0nHxkedJ6IVvymUTuTUuAAejtafftwASK+E6kzZJfDSx1a2JZaO+Q8JSI+lnOY2hii3SMo6892aBMhgMBoPBYDAYDAZDgH1AGQwGg8FgMBgMBsMxYRQ+g+EOiD4Y4gb6lMnH9vLoJ4rM4UThGI0DvWZnd6eLO5rRZvOO10FJdkkNbLpOwP6o+mcwJYUpfJHqUhONqUpYG1EEInGEoejqYtiXT9wke8elmkRk4ta0kWyM7fxgDe3l5TA3FG8Cjhfy8YTuJ9kzvYbacSEUxyNy0fzxx9XX0Od9Xrjn0RZRbuT6Uambqrd2VETCHQZxgilRamZLpXqM52GqXqd6uLtQQYPz+anwW2qa69vazyphdM2c0vIO5odd+GgZ4mezaRfHvq9il6ipb1dMT5InCQuMxP7MIg+sNdIsZIP2oZaJ6alO6D3ZhHwaESXIdXUxLGAyFWGORcV+zchHjPT9CfnG2txW+lEmNLK2JL8t5GsnWw9tNa+UxgRJanOXziNhDY9QpuVCaXvw2g55JvXP/e1I6wcydjOm7TG9R/p0Tv57mpZ8X0WBABIo8bwpPo6JxD8RFVUGR0Lhi5c37LOHB28MUzsllKKYJfuvo3P9AK2Q/QNFXz7sc4loXEoDIypknc5SwC2+nxKBGfF/xLQ/uWk3QEUEgFLEESZE6xuNtM02NoIQw2is/YQFXI72Q/qzQ+1b7J+vlXlie10pweOl3vPe9dC/WOQhZ7qe1Jl3PIajKIveUqvsU7hJuJeaRF3GRP/MhMZbE/20Zr9yPlK7NM1Eb6nT/qFn1YAfoYQqyu7CJL5dQZuMgh2O+lHn829Y96nre1ymbKBvZp7ikmdRmDnZd9Si1nZoYt/ioeHYj1Wd5BPuiTnR4n+P7zkJy9hgX3Vx7LWrCHb9OmlIWMTXcTwM33MU0fBtcxshp5MBs0AZDAaDwWAwGAwGwzFhH1AGg8FgMBgMBoPBcEwYhc9guC1cR2uJtJGEIUe0jY5tkNCE9NS19UDhWCO1pIsXXujlyCb4yKJifyJZXt56CdhWzr6lIu0k8SdCpveoMlRXrLijHL5W+BIZ0x4SCob8k7HvCsqrGPChQvCiJsa+NTpaRcMZrfLRIvn4AS4HX+779JtVYk6Ru8CqXViQep00b11pOZ57+lIXvnkzKKydPXe2i6uFypHTmtX6mvpTwalAx9uolbKzTRS+dhpoH+fIl8v96+e78PnROQDA1tYZLed4ROFQ/vlC23Z/qv6HInWwmWueFcmCNVKnDXfogpSnpAZ9qZUaFcivT882AAAgAElEQVQ8qTomPqGknx0eKW2Q1SIhNKhiU6lPCZVmgPLaEr90OQ/pNg1Rn4iWOCrD44/Hy2R9vQtHxT32/ZRvK2VqIdS7ptR7OnNvqP/lBfU9tVzo/Y2kHfYvXaQyK82qdYHiV1OZl5WmPx6HPlOSnydWBtxYD/2jyLTtFwulCC6WoSwj8lVTkdqkc6GuM3o1yMjXUORM8XzSiabRxJgqXUaaUcLJxa1o6TiPk6iUltCxWA0yHicKYSI92Cml8RxBc6Scmk43+k9dRcqSprmswngZF1rP60SnO3c2qDluTDRuRLTLRtQo9/f2u7hqRlTQ/RCu90mtcaHHa5knLl3VeWe5JKqnjMecxqtjxbwi5M8KkU58xDVEy1vQPdcyly8z7S+1p2ddHNuJShzlL8E86TxEFY3PgMTPIFPPYjvS4YReGqmcTAXl+4+/NG9JO6es9/6zxrO/Lj41lr9eYYsQGnBe6hiK1GUAKCZC9SQ/S4ucHV3JPRFvcYhSm9L2tE068jX1547O12fRAlA/UzxXMn00+nwqyU8UbwuIx91J5+/BLFAGg8FgMBgMBoPBcGyYBcpguC18t2mz9X3Lj0vOlBUbWs7KaYXy1JlgkWDfIEdHujrcbcAfsmpxPslqk/hQoVX0xA3GkKAEr6ZJ+mzhYkEJxM2jtDqcDRmGaCmmGDkKD/jyIXtPK5tv21ZPiD5WmjlZvUjYolsJTqxK7KdKLEyJoyhe1eyLDrAFS4UQ6BoWApDoutK4q5d1JfmFC2FV+JFH1ALlZNN+S9aYnMQJRqeDeMGELA/btCS+vBH899y1q2mez8/puZMQbjfVqnVQ6PUzsYLsHWo5F3O1jEQLZE3WjooWQpeyqsh9l9HEzejcOSTMe64LWolt4+os+fypSMFkIVaxCVl0c9qUH/3cZ2yxJZ9Si8NgzSmpb5SJXx35zbRMcYwCwM75EGbhiAPy0+XLkNfaploF89hm5ANsNOa+FawE8/leF7e2Tiv6IvKxqLUfZLTSG+cYFqopsmTAAwCOSHji8EgtXHFTO49Bx/NNnOvY/86ASIXjAR/96yQ+e3jFfMAXXN/tW7fyzfnwuelUyJYNKRNNfMmKeJzbWPyGrBxxg39D/nt4Do4r8WOyTu7eE8bZ2VM63u46c1cXXp+E+IPrqjRz5fkrXfjiM4F5sHeNxiNZh+dHfVGXFsQMyKJfNhUkAFkuok8r9hO4KPR4Ea27Y5qLc5kDqG2bjK01whZYITAS/0l0NdhSGPsJWTa4H3XnJiIRJI4UraaJhYkFIeL1XAC2dkn+xBzw8nwj11NpmfxAf0/uScrWsrAElV+uYwaGo2eJE2tfvqZ9d0zMgWwh/sAankOo/rtnET2/qX6jiASSsRkHFM0BdHfxTJ5j2A/Uci7zMlmxSwq3nQXq5MMsUAaDwWAwGAwGg8FwTNgHlMFgMBgMBoPBYDAcE0bhMxjuAN1MKesNvDE12Sst5niiPZRjDW+Ij5m9fdo4nAg2CCWpGDKoUwz7yhHxhsTvScImEBoVRbI/kxifbBJdEJUlakSsoNdEmlvC8qGjkV00GrOjCw1Wsik9oSV0VA1KiOuh6vMGM98vgFtRjVm/ShNaStb5wmFhC6K2zUJdRWEGAJgdKbXr6aeeDddUb+viCmkfYo8gHxHlaCwUPqKwNXOigU1Cm0wW6xSnPotmUmVNru04nWqZZvPQ544OdVP6gsQNmjrkyxv5G6KN1ELLYJEGrl71c5LscJbzyD8OCU+U4ldmbYc22hONKtJ3mMbDlJ1sgIrSkK+bSOHjh9yY6ILOBarM5qb6y7r3gYe0LLvim4v8PDnqx3WkuxE9ZynUu/VtEqOYap1fuiSiMTlvxFe63bQK7ZQ5csCTiL6E+IYoQ9WSKL11SOtoqm07m+p8k4ngRU31zFRSp/ydLq4d8KXDvnBct+lci5yI1sR/VogHdJyvjDl2Wr5uU3vSt5gyJIIJq2jCQm/KPQtjsG8yCRPltSAhhdOnA5Vzm/yq7e6EsbdOdOVxrlTPS8+Hdn72CfUPd/W5q114//p+UjYAWJBIxMKLmEir49mRQIvPpX6IltfmWmc+UvxyEnXJeRKUZ5XT8ZJ1FHV6Vniik0mfY7qzd0zxi4EBfiZ03uW5tKV+GP26ZTSefPKGGlUo+vRNAMiF2p348/L9sKO+l0c/SpxLQpGTOYyo8MMMdu7PGszk+qbV+5w2Ot5nTmiT1PcbT6Iukq9z7NeMxVpCOKc68fWQoAMPTkmH2tGxSNUtv0AqKDGbh/K7Cc0BPEfh9QOzQBkMBoPBYDAYDAbDMWEfUAaDwWAwGAwGg8FwTBiFz2C4LdpO6SiqfflGh40HU9MkTMsSJSk3ZWuB4nH1svp+YsW7PPpuSTgI4oOEqBKe1JayTOgpY1LMKVhRTxSkSMmL/UhF2k1NClBomErT5arXJyJHojJEl7AfqEg3SF0ykUqfUBeYwlfFOvWrlI2E1lIx1bBPQUgwxCsglaHUt5fkw1SMhKIh+XpV2FqQD5Znngq0naMDLcnps6EfLDPy+UM0o7Ui+A/aHillp4Cm2RSnAADVNW27m1Skg/F1AMCc5AqzmfqdqYTOt5yTL5kZ+xvpBZCyNsO5NVFRsoTKGTmERK8Rut6cKGo1D5ftAUpsw5SgUJb5SPMsSvZDJTkTJaeea17Lw0Bjy+ea5k6pKntLoSytjdWf1mRHj1dyrxnRpFiEsOuyparwRdHKzdNKr7y+UJ9Ph9NA78RI1TenUIodhNKTZzpvlCA/VAj9JHOap2uJmiY0tOVCfXy1tVIIR0JhpGZMfC4VXacnapRjSpNcSHk6SJogKmCufc9nEmY+VtufTwryLzRqtJ82dZ/mG/1RcVLsp6kiBctM+tTGWCl2ox29frQV7ilf08bdPb3bhbfWTwMAllM9nkua9Q0dr88+/Yku/MJTwQ/YtRdUbfHwSNthVof4WaPttPB6PBd6cEEKjq6ke5YJ19NkzHS9OHbY9daYqV/Sjq4mSq6Lzxptx4LV4+LlnvMkOp679UTcMu+GtHJWgWV10+4s7nvUZyJNnWi4LaXVSJsXNB8w3S2yNmtWsIwUd89jXMN1pLZRPTcUjsNoTHWW0/Mza0KfXhJt71qr7Xy9DM+QBVEpQUqsMaXaET2T5tBInWvonaBJ5ivpB3oJsmV4F8joPl2mecaq4Km2ohRqH85dOr0mJ79zTaQ2D2w/OGkwC5TBYDAYDAaDwWAwHBNmgTIYbgePziITfTok5ooBy4unJaLNTV2JbiSd6VQtFynial5/5cat2JkZBSH4eLrRPx6nTaaUfPSb05IlLCOfDplYFHii8JRAXNVj1xs+4w3c8XfY2uOKuHFY88zFmsH1mFjlqmihopU+dr4e/ZHgDqCCDDmiZ29ROZUv1mWiUUGZPftssEBduqSbxk+dfmO4hlZMl5WuOrayWZs3oo+2Tnfhmz74kJktyI+U01XN6L3+kMQsaPEa1SKsFrbk3KkdqiB2iELtmMtyJFsXWRAiE4tEBVqVlL5TkShKRZbOSRksE8Wk718t5BV9KmlcQcIbcYXT00b0qtb0b4pVcJ9WdNc31G/PWtwgT0Iu8z21DBXi1qehtp+TpXHzVLACzUmMY7wW7qmhFeX9m9f0njx3VCkzVfkkD+UblTpvnNq+twu7NlijfKMrvjX5jGqaUJbre2SBGtjf7j3PB4nsS8iHrYu0QdwjWoP0sEMUzyELVMG+q5yUjVbGKccij216qoubTalvSVl4jlgsSFxBokdk9Vrb0PxPnw3iD7tnte03d8h3l1jtGhLS2dnQsojrLuyTAMuVi5cBAM8/+2wX9/QnnunC1Sy0/3ym1ywbEg9CiF84jWtz7TPeiQWSxERysvB1kw8rBhE66zD7TKLj3eUYmANpMvPUX6M1g/uGozm6e9YM5gTEVk98Qw1oifDxjJ9b3S89fwbOTVw/sbVMJryWBBN8LT4DqUPnlGYhcxyPoYzyz7t7Yt+MLNgQji9I0Kfa1zlkEscWEUBymvBcFNIhYQnmp7hI/aDhOuCaK4mri9DPfcH1QMe7fMjyTNSBYhHCoyPtm6MNtjiHdBdNPejH8iTBLFAGg8FgMBgMBoPBcEzYB5TBYDAYDAaDwWAwHBNG4TMYjotI5WPeATMoxJrOPkTW15UqEn3wsP+dxCAf+VHsoyTuWl/lZylLf4F0k2w8mTfmsiBCI3QGT5uJM9+n02UkTuBbpv9EP1NE22PaRBRkKEnkgetMKBJMu4jH083AdJH4Q2F6Rup7ZEAEw/WpKi7xh+V6pyZUFaaKCJUo9ZmkWd3cC7ScJz/xdBf3yNseAADkuU65TL2KxIm1TCl8SxLJuHQxiE9s1ErtckRd80KX80y3Yh8t0d9JUtHMdYm+dKifFP1+Hjf0A0BJx4tuEzVxUeT2ign5k6J+VoofEcebsumeS9k03rBACPs7kTZvaDP0siI/WC6U5SbR6Zql0mfPrwf/U2NqPEcUwOj7ZDrTuPEZFXeoxD+Up74RfcA1jeY5PVA63ZpQ2+Y0xgooFWZNfHvdf98jXVyZn+nCR4chrzn5CPNE2b25HyiIe3O9z5J2gzdSVkd0OKbq1DLm8sTHGvUpEW/IW6KT5bH82rcbmiPquJGd+mbOvn6kH9Y8hB33w0LKrGlujLXOzp4LFL2tHR07W9tKKdo5H6h77SYJATAVVqica9C5+uCyztHPPxrG8bVnL3dxly5cAgBcnaoozHyughGz+VW5N6XoNYXS+do8pO9L7a+p+I5QbtkfmGd/XSHsyU8TqE06Oh37t0voepHuNsANJz42U8e6R1Eyl44oXPSPJ0IzkU827DNJ06HDdH03DdBcm7jzcn36KWmNdCITKalQ/KLRHMDPzyh4wc88rp/o46yheQc0hyzEL93iQPvTZqXtdM84UEWXtfrCyyj9pp3Lr6ZZ0bwfn98ZiXGwT6a2uz+95lCEihYjotSyb62xjGOmh/IDbiH1fKSVX4xI+EPGdlav3npwUmAWKIPBYDAYDAaDwWA4JswCZTDcCd2KlKy4tLwEliwbAgBGtLl+VOoQOzgKK5SJ4AL/gyHLSbTwcBxnHzf28ipxS6dGCw+tMPEKoGTZLlmkgVa3q3gNbxym4xJctVe0Mwbx8jJJXccqZbndzgJElomcrB1RQbmteDNyP5xY6mjFPR5IjlP9ZfnAZmgun9Qpb6RnieW4F/2JJ3VTeRMtZFRO9h4/klX4Yqkruleu6Mbj6VG4fjLW1Us/4ZVG8TifWMVY7l4C1DcdS+PKvUw2Nf2MVhUb2WWcs1wv1WkpcsMZydm2C+mbtErOlpl8IvdPY2R2oMdHsqqa8a5plhuW+2toRXZJ4gJTWXVdqjECs1Y3cPs61O8mWcgw1ZXi6jBYcdyWWjZasnRWVTh3Y2NH058HC1BBssITqsdorZkfadzuzl1d+M1vemuI276ni7t0kWTOpSELsujOyap3+VqwjNRUTwVvBpfwiFwZsLx4Jq8EOVi8gFwgSFvmoEqV497RRnKSnx6J1a1J5jDq+2uhLBvrGre5odePJ8EyVFJ/2yD3EKdEMj62RyiAjp08vubMtR39gvr2MrTpJ55+rov7+J98rAtfejaM4/mhWpjm85CXI6WWWXO9Cy9zEQ4pWSRCrYLRFYVjmXBuExEDaek+Wrb2eKlrGuM5+5eI8342MLEm6Fve+TnEggitTBKOrZOJJko0UXGeQ1b8/vwvuUnu9CxrBp61TGGgsBMRk4yt8ImeQ9s7nnUiESyYwPcvcVSONmE7SN61Xr9YapvNZI7ZmKh18807D3ThWqzDXA0s/123sR9oRbO1LLI9kvcIupda5saDI+17V+vQTw9aLeecKmoRrVYki19PWMQizNFL6Hgr6LmTy7Msfx2YZ14Ht2gwGAwGg8FgMBgMLw3sA8pgMBgMBoPBYDAYjgmj8BkMd8JtNkKmKxDB5D0mXzWOzPHLhdCTHFPsmKIgQgB0TacrkdBfmJoV6QhMqyPqmxzOEkdRtEl12SS/ABIdgFg8pv05pljICUw+HGLqJCIMVGuDvoiib42MPaXTpnuh81UJUyRxz57kfWv+sX59Ik7AFL5+gzNtpdvLTBy+lmhqldAVn3nmQhc3m4dK3dikdIgq2YrH+rwi0ZGr5Jdm85yUmXwq5SS4MBJqFvu2Iu6bi+IQRLkpS6I0SZuO18m3x7pSiirZxOxG5IOF61fEJcZrWo/Ljo5H7TijDepS/qJU6le+5BEl15Hflox2hUcfLCw8sZwpRW8pIg9uRG2/ICqMCEqMiKoyv0n+kySt8e52F3dEm8F3doM4wXSuVBgn1Lqc0tw5pT6FXCsUOKqnNzx4Xxe+994HQz6HOghrospEXoyjOeDohooT3Dy42jue+u0RyhD1g4LGTim+hjKm9TUazmN81qf1tS3Neyz6EgUNaLxsbmk/f/Ch+wEA5+/S/ti0SjmqhGI3LnWj/WREYh4yd/mKKIRUFhyGdMtW87xxWQUhHv3YYwCAJ596oouL9QgANw5fAAAsW63nsVD3zqxrmZBr32maQPfzufYNEMXOiViMc1omRyIRPvqHIpot86TVZxI7AKI5TNop43nb9cNMkx502sMs5i4rvoYFj0RkqR3ue/qs6osQhevCb0PzRZuIUAilFysofLHPF1qPLPgUqXdMBcWAH8UEnZslLgelKXMPP0tqem7lQk89vXW2iyuIRl1Hanum/ZUfxZG6l2XD7ei7dwZFTYO7kvIt1/VZcl8VaMb7C/V5d22hffvyIgijHDg9Pi90Dlpshj6d0KGpG6wjzIsZbvvqdCJgFiiDwWAwGAwGg8FgOCbsA8pgMBgMBoPBYDAYjgmj8BkMd0K0skefRonBnOhFQifY2VZVLlb0qYTC55nikCxh9BX3uuOOSXIEOZfVkhJXP1LoJBtWEpuLog75uvEV+7kQuoHrK+8BevdcI0wxUD9VTJsYuhFWEYpqT+zTqH//fJ9+4IAbZl10fkhSKqKiHdAUZF87rfgTyWqiPjEDUtgSz19QmtCVK0GVa21zdzCfuagkrVVK95rdJJ9JZaAsVVDaRD1WWkZkheTUTuWGUlkm4jfHN1opaxNSxxO5xaiIBgCTDfJJ5UNejdP8E8qPdJ+W6HJlpEJSf792heglPvS9cqzUq2JMVJUqqmZpPkWi4CV0OVKlqohil4kC1Yg63Jj8cEVhx5LK3FSkeiaKfn46oBwIIBNZuWqpx3d2giLc3k31DzTaUJrWZBwoX+c27+/iTt99nu4pNOSiVcU3ZtRGobaGaIsXL6q/sbYJ7TOie8qh7RgpXewTqGDqVyN+3yjOsTMdUZv07FuqU+CiuqHBV8/Ex9ma9rc336f3f99d98g1ek8z4udmorY5cUqlbCttx/lRaKflkuiZpMy4fyn0iYOrj3dxjz3+Z1346edD/M2F0vbmTtXzZkJlaic63hpRblwvtG4XXsdGI36ckrnOE1VV2iTzaxRHtMlM+jHTvX1/QmPF1bZd0LlxDqV5i2mXUTWTff1EOhirtA45IBwWfFNq9ApN1i6WJ+ZE3TT+uqHDqsjHDyCi98Y5mlXqUHCdijIhPyuFOueKPgU8pClzENdDw0qc4bel8eiIbpdthDofjYmCToq0pVRgQ/6+2CdTlK4saN7KqazRR15Dz/SS6mecx+N6z6eq4FfufKkzy10j8o83Cs+qC/OLXdzzC1WodKL+uiBlPhJnJT+KOPEwC5TBYDAYDAaDwWAwHBNmgTIY7oRu5e0Wf1BA4mhiVIZVpK0t3Vg8X+iKeN2EVcnETUZ/ARDOsVUrS7O+5Xj0/9TyrnBa+SmyuPGWNp7SClotm+rZD1SWeK8P17e0qtWwL5648sWubsj3SBRkyEpa0aZ77ixnlH5nGeINzok4Qjxv2MQUVyL9ihWwmCqvkrM1yA1cmK6qyqohRZGhsSvf/r5uwn3qqWAlePDNupmYl3JL2fh89ckrXdzhVV0VPLUj1020nfN1XfHe3Ap9b0z1lK+ztSmsfmfkq2dCFign7USGBxR0PIo7HC21TNwPu85LHTWPjn/Y5RBtsO58V5GPL3ZbEy21IxYQ4b4rq77NTFfepwdqORjLAimLukRLHAC84dzdAIC777m7i4uWOEAFKaYX1ZJ4+mG1nMyitatkk2wo33yp1ort02e0/CLmsUbCFMW2Wh0XB6F+9xd6T8tkRTlcf+XK813ctau6UpyJvYrHcMFWDrEmsahMwT7QpM0y8muW0ziLIhMVCR400mk8O3pKxnOok1Nn9Z7v2lJL7OJasNa1PKCSV5OQ/vXrapXbP9B+uCdtvn+gxw+OSFhj75L8Pk3XvNCF51Vo3ybXa5pS2y8by72QP69axtk+WXTZQNRGy39GVicS1ohuezLqbzn5+om+kNgSCLKYu04oh0VdWHCiTX+RijvEQenIdJB1vrs4T27TvqWR7zkKQrCIkWdxo8iwGJhLOa1EJGLIjMG3wYJIkldbE5uC6keFN1gQKaIvVhGyF9EVsnQ5siBFnZ7Ealfq9Y2EFzmPB0Uu7dhSbEOCEnEOTVzhsc8nmQ8Sf1lc/ii8QVbkGBpR3e3kKsoyEYGUDZ536f3iomR1CH2+ZWTpK0Sko6jzE2+FMguUwWAwGAwGg8FgMBwT9gFlMBgMBoPBYDAYDMeEUfgMhjugt8pAFvSWzOBra8EMnpPpe04+YiLFIWe/LNmAOELGFIJ4LdOlKOjiJlGiCOR93xvsj6Ot9dxl3ChP9JlEXEHur6GbTjbpDvkOYf9Kkhaf1jDjKWpUMEVxYBOyS06QCsiGqBgkbLFys7PE0fVMO4n5c5UziaKNtEaq8yVvIpZk5wutpz/96KMAgPe+/x1dXEFUjbFsDH70SfVFMxkpFXS8FmhY5WnqjWua/+6p0Pc2aLOxW9N7Ggt1reTNyOwPRfrMoiHq0oj80hQhr6OK2p73gkfaCh+OQgMkAFKUzHOSvlvT5nemr8rlBfXdnOgzjXSk5RH5SaLynd8JNLFiohv9Nze0Tt/61s8I6ZBYx7TRsjRCBWqJrlYQTe3GXqCOrb9hq4vbuxni1jaUErNJ4glL8ffFG/rbkVLsFiIecDBXemZLfW8uvlsee+yjmuZC6WxjUTNhCl7G80Wcg4hylDOFL1J9iA2WzHcyKJZE6WniGM55w75eNBqJuM6EfJzdUJ9Js6NAvVsQbZEpTft7gVp34bJSFW8e6vWH81DnB1ONW7TaJ/ZnIf05lN6ZZ1q/+Whfyq9zdVawj7jQ/h5Kx2uFWrdkQYKcKLEYSRzVLY8XGWe513vOkjlSfGtR2xQD1CyeOLPkQRW5ZZp+TXN8Humz3De65wbz8oYEJVhkgX0S+eQXSP08df0omVj7Psq4UEwfjWlxPSV0eDk39Ymk7dPdP6cv4SwftiXEx0IyRrgAkTbItEBOS+jJNfnkW9KzJlLsK6qTinzItTIQC24nauhYZUO0vuQ++Jktc2xBiY7pWVTOQz+f5Eo9LuncchrGw4Wl0s2XhdIm2zw6j0weoCcSZoEyGAwGg8FgMBgMhmPCPqAMBoPBYDAYDAaD4ZgwCp/BcDs4IDLyOjYA0ybIZ8P65iaAznUDAGC6JL85UemsTHgHGpRwTop1XlSamOg3IlqIjyp9RFxoSREnUkAyr3G+UtN6tLYX7LuJZoVo+vcJ746CEmaaENMB4/UsAMUundoimvvpermXLJHwIWpap0DF11Ca+VJ+icpINCzX0RLJzxLRMt7ypocAAM89eaGLO2rIf1FHx9A4TzJ8kVZSKBsOzzwZ6EeLQy30Tnlay3fpeijzkaa5dXazC2+cCu14+l6loIH8eGxsBZra2poe9zn56ej8cVE/oPpbyv0t6J5KpoJIMCfqGfszi7TV2jNlNRyviBZYlpp/PRe/LXNSc6I0o4+anCilTD3zs5DXmQmp3J3Xc/eXId2tB9Qv2yEprX20+hMAwN6+0pze/fB7u7A7Hep/fKh9p72pdLlqGWhiU2rT6CNlY1tpg03G1KmQVsNCZ3R8vgjzhV/ovDEh/z5PPRGooNcuq1+WjBS+4jgvSPpwTv1gLA05qbTMExob3odyz5ekCkY+laLgYE15LqWdSqJ8NkTfaZfh/i5d0X7wzAVVzLt+I4yNvRnR8hbaTlFRb1GRoqnXtFrMe3FMja6EXrTMiCoKRd6NDWpHqpOsCXWas2ab9MOc/PdkLdFjo58lomvlTD2TPs3PioZpYB1LeRV1WwIJFZMpfn0/UawwqYwumhfl+eSyYRW+1kUVvRUU7o6Cxyq1pMIn9FvHfsc4LHO853agZ1EsV0VzMT+XIrWNiWPsOytS/JqW70n8PDlSQ6Q5squTFX7RYvJtpmUak7+vsg71u2QKONH5qpg/VeN6S+0Us015uJpWF7eCQtgVlGiVpcxBrk/pBPSdJqc54Eym6rFFHe7v9IE+vy5Plc530QXVy0NkKzyCnRyYBcpgMBgMBoPBYDAYjgmzQBkMd4KsfMXVBvYJMVrTjdEbW2Ez+Yw2gLPPpOhrqEh8Z/QdJSSWlc53BQtPsIUqOhRhXzq0WqaZa5nIAtUsm/Q8pCuxXpbYWnZ0NAReiGQLlVij2McL+6iJ17EFLd5Sqk/hB0LD/khi9uy7KuNFUUmgJcGBzVPajp/19rcDAK5d0BXx+ZFaHvJodeSVTCrpYhlWI9dIPOC558Oq3I1rupH9zD13deHLzwbv7xtjLcc995zvwmtbYoE6ozc6JqGCSvz/rJFIQu1JXEFWoivaTNxwqeNKKsXNyHo6HoV7GZW6utqQv5UhMZFGrEkNCQ6wlaKaV70yTQo9PhaFkXJOggQtrZiLyMbuXbo6+tzF3+vCl6vgX+jBR97SxeW00f+PHvvjkP+IRF92NTx+4BwAYPGstv2N6c0uPG2D5WPdqbVpQ9qk5TGe98d4xj6FaMW5zfrWUdfo8d02zS4AACAASURBVCefeCzkPVMLzXhC4gYi5OCTPeO80iyry8kyPa2Ii7XwiPzCNbX2AyfWpBnfk7SZqzVuTn1ntgxlfZTq8WB2rQsvRfChJQtRQyv6XsrnyTraJuINYuXmOuPxLlZutkplifqAWGuGnPKFDOSXxX2ifz22oLC1Q+L8wGSepE/W1UQ8qJV0hh3pdIIKbngNPM59bIFCYlkSwQeqx6aJ9dS36khh5EqegVmsJNbTkPAE9G2T+gmL9ww57qtInKcUP4vxFwCWSz1ey3zEZImMTFhRKIIFmeLUxP6quBtES25TkVWo4jqXeqRnZlGSxVrYIgu2BHL9RbZC4peNUpfjfoVDpS6WGST8XOxeD5hNEM2bZB3krl9GX3AkdkFp7q4Fi/6YfAqyI8TDNlj+Z2gwXdF/TwrMAmUwGAwGg8FgMBgMx4R9QBkMBoPBYDAYDAbDMWEUPoPhtsgACC0nmvlpx+fahm5QH6+H867v6YZKtrxHBkVO9JemYVpH+En25UaqRkLRI59OQpNKfT9ROFIYiNLTEC2C6XxdHJnjI3WPKXgp86vbzaxlZpGIJv7yRnfiC8TLmHIT64GLltSJHHB9egnAPj2G6QORdlOQGMcp8RkEAFtb2wCAioUhmKrTiVAomIkShTvYZdLRYaA0XXzuchf3yJl7uvD0WqA93HX67i7uzCnyA7Ut9JUxbXYeU58Q6hb7tkrclUg804R806cUlSQ2MluqIMRSfDW17IeJwrEfcp1EYYolUf3yEW20j5u+PfnQos6/Jo+ndfK/wxu433D/mwAAf/aJJ7u4p/eua/l3Ax3t6kRpd1v363gtp4Fye0TCFwcjpZFVG6Es1zPyKTRV6pzbCHW2taEUPoxDmVtHYwz9McbjmWm+se8WY6UB7V99oQtfvhGooKxIUJEfraWsia6TOEBZaZ2PojAH1WNDqi7TJtDsri1U2GNOIhL1PAoy0ByRxXJoOy9rrdMGIupClNK8pOuLkH4LFobo+xtL2GpMPYs0KvYhxufG63mOYKEC5mx1x7PeuSxqE+lqK5hVcPFAIvxAaUqhWPghGxCBSJAMV9dLEwM0Za60bKhSEt9TlRwhWiH7P3J9n36JH6euTjifvggGP0uYZu07Ph3RW0H0VrmuJBpxSZTfTrKAhGgSCqOUJWFnxucrU16TMkmdkNpHs2Q6n/iBojfphqimlZzLfqBq7qfxl5/p6PdHt4IWGef4pEna/sOUaX3RZ5Xn/kC8wViP3A+4gmoR3OB23PbqC+9ME+bYaVvjJnPrTyBO9t0ZDAaDwWAwGAwGw0sI+4AyGAwGg8FgMBgMhmPCKHwGw23gXI5sJLQfUSkqyLK9tas+aKJi0bIiXzhERRGWVSKG1PTZPcAA5cclCk0DKjtkbmdKSq7yaponU3JimGl3RF3r6Hx6SVquWI6GKQLMC5E45nYlTptimdkHS5/+4hPeSFTNoqjEZZHcP3MAG6bPiEIV0YDO7J7qwutRWZGoljX5HlF/JUyDotLJdXzPtbCTLj6ldKy9ex/qwveeewMAYG2TyrGjalOT3UATWxClpSKqRhmpcQUpPJFKYKSyFKQ4V5OCVVTgYl8xjjiAUUmvZRU/6kfxzJx8kDWS53KpFLPNTJUDG6Hf1EwlXGh4Iip8E/ZJNNN73tkJY+/69I+7uEMaW3suVPoVr2qKFXW+3fuDH5OjIz1+0Kp63EEVaGxXK1VOXDilmU1EMfGI/A/losjHfsWYwleIHyxWMmuoozRCZ8zpyfzshaf0/oRaN54odSmnkxdVqOsl+Scal6rsWAhFkH0SeaIbTptAs7uyuEJx2n619I+qImW+6CePqJjEIOzU75pW58WcjsfJhVlK7dCEwceHGE08Lw6ox7FKXqJU2lGnmdbHYfE7l8zB/TzdQJhpf/kAhY9vI53jos8lVl8dup7umeeg6NuK82T/gYiKdHpN041tmusypcvF6z2rj9K82ka6GJdjYI3eUedjddQ4X7BKXsY+jSJ1uh72VVdEZUSaA7gb+QH/fzHoBhQQAXW55Khym1bHeyNlzSY6xpgOt5RnTEbSu4mXra4fUT0m/dyl5yHtM52/rxW0yEiH5H4Sad4tJzqgFJo8p+lFJT4D6oU+K8qF3tV2FajnO9kCF9s+HfEkwSxQBoPBYDAYDAaDwXBMmAXKYLgNsrzA+tYZCYf1htGIfCKcVvGB2XIPAFDRii0vscWNory6ylaQuCDUtrzaFa4fs28JUixQa9OABQeA7zzS06bzpa6gLeahrH7Ozpso2PRuYxBDbia4VMn6FotQdI4uNC6uijZNM3hNV1Hsx8INnMqrXy2vKsbVXdoEu73ZhU+dDitop87pxti9A/VhE6/jDco+uf/QViMyVebib+u5j32ii7v5RvVP9LYzwSdUPiG/JevkZ0kEI4qcVyq1T/iskl/eQK0rtUvZDD0q1DKRbLqXVVP2jZW0mWTLFiqfbPSXlVJeEY99jnwKcfnX6nCvCzq+1pAfpibc3/yaChq4hk0XIS9aBMeU/AcVO1KX5K7kwtVLXbgVwYy80BMOZmol2Z+FNj8iQYSaLEuuDOFDqpM1qf/c6Xn8kO0WeqkeyDCAXKxBs7lavS5ceroL+yKM3Xm7oDhd/W6lzx/NVbBhQsf9ONQ1t2NNg+tgeUPuScU4phnnJZvmKf+4Ys+WA7imdxx5XxginCA/ZA7h+WTAPVCyON5ZflggZcCKz+A5OFqjssQK0bc2JVaAgTKlwhNZL50sManftnjwrn99KnYh8zoLS7CATLTGsCWOTTNyAzzF+gHLfGJVFB9sGfdoKlO04LEvOTcQZmtPXrJwRriZmmkZdINdiObdtmVrmYxn6jAF5aWiQDRvR6sZW1ioHzcyhy1JOIL91uXRokx9uyVrTitlZatSYu2K5aAO1SbP7+ivi67nf6SoLOjAwh95Fq2GVI+R9aGpJO8UURsoo07K1tHIfKhZZIl8Y+0isCiWDnhiQKDlJMEsUAaDwWAwGAwGg8FwTNgHlMFgMBgMBoPBYDAcE0bhMxhugyzLsb4ZRCSKUVhvmKyp8Xu0oZSiG1cC5Yd9mDA9J+tM+wMqClC6BpvLlQJHVIm2T09JqB688bhzjUF+KIim5etIyUl2lWuZB0LD/pWG6XaRAcIUA/YflI8i9Yuzj/dKFIIBwYiEHUAbk12n6MBqHZxBKFRGFLbdHRU3OHUmUJ7ue/BcF/fkk8924SLSPoii50qlxpUST3oO2BWa2NpUI0+XmieEopmtkzDEroar6ItorPlkSZuEdNtG6WZH80Pciqxgegj1iY6WQhu82bdJ7D850QqTjf5RrIRoVNLPSqJ3FDNq+1mIH1dKMRs3mun8Wrjn5b7e09m7T3dhV4Z6pkuwJArf1magZS4oz4t717rwzf0ghFBfI1rjWEVhnnz2Qji+0PKPN7SsldCPqkQwQjaNZ0NjCPAiRlKULAJBo6wJFL2Dmyo2Ml8onQ6jUP+Llih4RClaz0P55kSF3J9pP1iLPnSIYrggOt6NWcirckoBbMlnUy0iG8kcJeMoI9oep99FUTilJPUFFxxf7yI1TNHv+YBn6hdNvJHOtsJlE2VDbcbMt0jxownHZUN+oG6fQzsgEpGvvCbyBlkMoz8JZnfwI8VxqUseOc7J+0hNJlGThvwweZmjuB4cU2oH/O9RMAopsLgNP8oiRb6kQjFNDF35mNZHz9pYFma4keBEFJloGqYVxmcuCQbVenwpdXGw0PEw3lS/b6PtEJ5y3eb8/A3plitEImKX4OevH6i+lG5HFMR6QGyEn5udH0emPcov0/6HxEh4PNB8NdkI8+qIqM/gx4LUedlOUGaJWsyJg1mgDK8KOOfOOOe+yTn3s865x51zM+fcnnPut51z3+hS73xwzj3onPO3+fuJV+peDAaDwWAwGAwnF2aBMrxa8FUA/icAFwF8BMAzAO4C8BUAfgTAlzrnvsqnWq8A8P8B+LmB9P7kZSyrwWAwGAwGg+F1CvuAMrxa8BiA/wjAL3qSc3LOfQeAfwvgKxE+pn76luv+yHv/3S9XoVzmUK4Hik/0XbJ5Smk8Lld60UL8xrDaVEaKPJGiwLQI9rWDTgWJ8u/UmDTO+77hOHOk3paoPYVwXREtgfw3dGyNQdqemvtXEfhivCfqFvu1iSw6umUUI1bEEyrMAO2QVaNaokRFPyTDREj1SeWIxuRaVpcTZUNlbmF9XVMbTUJh3/TIPV3c7/+uUhHqOVPX0jQBoJDG2iyU6nFuHOh67337Z3dx9+2e78IHUelsRD5ONpn2IVTLRG6QVPSE+pWRn6Ky1D6xFFoF+7MqSq2fRS35E3WK1ahaUebylH5L/mJim+SskifKg458N2Gq16wtRMFqofd0cGVP0zwK7fDAGx7o4s6+8b4ufOFyoNhduHKB7lP9EzVtqP9LV3SMXrqpVJz9A6mzmZZ5m4r6glD8draV1oeR1qkTylpF/JV4eU4UsjGNmHGk0I208y3mWubD64G6t3/9IqWpx+PYmRMldlZrm0RaZ0n+uA4boh8twr3uTlR18ojoSYsm0JArr3lyn4GoPWZE3XJxPmLlvYSiJ78alfqtk3CinOf69NBVFLuYVcP0U8qf6ZSaZ9Y7nqro5QPHXS8uVR9lOt3t6XzxuEvobqy4V8gvp9lX4cu5nAklq0+nc4mUat+/UFSCq2ums/XpfCVxe/OC84zzssaxIlyknrGKHNOg20jtJo4bz2Ft3aeFenquzRehz66NdN4t+Mklcycxt1GJul5L53E2R+LDrtzSNLMtpa4d5WFsVG6YQofOjxPVCY3Nrq6Iwsd0vlbqPEuS7Pt0cvRO4Ad8NnFcVFFkv2RMO/RZv8wpk3SAPkr9oJmHOtluN5P2P4kwCp/hVQHv/b/y3v+CT7RwAe/9CwB+SP5936e9YAaDwWAwGAwGA8EsUIbXAuISbz1w7F7n3N8EcAbANQD/xnv/71+ynB1QyGbxbBSWgdY3dfV4b183eNfiWyVLhCP6axTs3yjdgxw3ydL1cXE3WdHkDdxxtWiFv5DoU4lWEqulVmMUd8h4Z2siHTEgWNGLSVdSEwuW5J8SL8myEv1M5f3D/C3NVrdu4y2lyXXaiuUpo9XJIqlT2XhLma6vk2UhD6uOD71ZLUT33q8+oZ76WGhzn2zcJcuObJzl7bOP3P9gSPOue6kcmv/e9AAAML5bVzerXC0LiIIF5GIs5zrtxBPIL0pB7Rh9tJBfl4KsJIVYSivqJ8uK8o8iFWD/QVqYRqx+BS3fjqQfTqDjZUQWKr8XyrJ/Sa1O9ULzP7UTBCPKsVp8Z+T35WNPPAoAuHLzspaDrDFXrgafRsg0/xu0qRwiuLC7o+18932f0YXHZ88CAJaZrj6DVlonYmluE181Mp70ikQooJAV9UWl9XjtsvqmuvL803KN3scW9c1ZdHlETdOSuWe+CNa2DRIoGa9r/R3NgrWJugYOZ2qBqsSS6VgBhXxGRetBxpZQGZsuWfvqW6NY9CRr2WIulsjEbEXXd3Pg8HpvnBpztrAMnOpXWIjUyt+3MIVw36dSHLurLFA6H7I1pi/4wMwBN2iBYksYWe2iNSW9QQ1GCxNX6YC4A/uOyl3ftxQL/kQhgkTMg/5pOv961HZ5P32XWMr69ezZgsPWqqx/T57SX0yDBYpc4WFMQged1Y+Nm9GnEQkrTdniOpY5jPwEVhPyiSTjNKc5Jnn+dg/Avm8oQIUc2GrHjhRzsc4O+X4K8XIJ+4703GYiapOMPSkS1TP77ooshzYRwqEydRpPZLUbcCM5cqslUk4K7APK8KqGC0+Sr5V/f3nglC+RP77m1wF8nff+mWPm8QcrDr31mMU0GAwGg8FgMLxOYBQ+w6sd3wPg7QB+yXv/f1P8FMA/AfBOAKfk7y8hCFC8D8CvOec2Pr1FNRgMBoPBYDCcdJgFyvCqhXPuWwD8fQAfA/A1fMx7fxnAd91yyW865z4A4LcBvAvANwH4/jvl471/54r8/8ChfYfDPgDdmD0Z6XfZ5fmBni8mcWbbZcQnaNohJiLRLuJma7q+23C6gt4SaR2e4iqiehRZ9L1BayVEAyua208BbaSttMP0mLhZOfFTwQlEqkhC2yDaitA92LeVH6AYJL6l2qhMQfnQJtliGSlFeqOO/AO1kRZBG5jH5NurqcJG/tNrSv/4vM96Sxe+8OTvAgAWRLOa0MbqXcn2reVOF/cX73kYALA+1jyvHqmvnz0XNu+fhlJFRg3RTySvMfWdmgQdvNxf3Wr6nuijcTOy93rNYqniCq30TUdUyIJoJ41sLF8SjWlGbZaLGEg7I26Z6BBsNrSOcUnpYNXFWu5Jy3zP3ep76+z5u8L1p091cY9eeU7DzwW62z7R9kiPArMqFGCxr4IIea5Um/VRoGWe3VWxkPvuVcGKyXood7UkSg5tAK8KyZfGVlFFP1A0rka0KV9EGo4u39B0XlAK36gNxzfWtG7Xt3QcTITzyitDTEmKLrfmFJlvUd8XgZSri6td3H6mFL5pFuqK6bEZi9a0ffEE3ZXPwhB9JCwk5lkNTXzUzyLNrO9FKc3LDQhTcLJcZKbwRUEL1zJFTs+OG+EL9mnTjY0+nVoKLenQeHQsHhDCbTZM4YuCEY7qgSmIscpSwaEBGjbTS/O8d25yifzDAh9lw9SvKMJAdOlWx14jZWbBA89UTXkuFUzbS3w6RRElosiRWErdndsXUQCAQsQjmiMt05gEJRqhrreJn6aQ5pR8oVUjPb52OswRDQs/0P3l0icapu1RmeP95dSfMt+nxjXUDm1SP33hjcRnk4/+/5peHKD9nH1nxa0GCSW27ZeP3xmSDQSx/JTPkvjk7Xq4bm26hpNuoznZd2d4zcI593cQPn7+DMD7vffX73AJAMB7XyPIngPAe1+m4hkMBoPBYDAYXqewDyjDqw7OuW8D8IMIvpzeL0p8nwyuyK9R+AwGg8FgMBgMLymMwmd4VcE5918g7Hv6IwBf4r2/eodLhvBu+X3yxZan9Q2Wi0DT29jZBQB4UqWaz4+6cOb6inWs5lSJAlhC0WNfR9HMzkyQLsxpkx+leD1TADxTLEKa9ZJ81SxJJUnM9ImAFlv2O57cMJ0uUhT9p6y3EzPr111aKIUbyivhB0W1J6IJEaVJfSkpJYdVAOsm+PPKqT3/wmcqhe+P/vApAMCfPv18F5eTety20HI+6w0Pd3H3ng5Kb+tbStG7VCmNy4/C9ZMJ+RgjNSiXC+WnUdpdxhJYckt1IqHFDSX9gGT8MqfpN5JWxT7KSD2vY4gsidq00MfHqA50w9FcK/LwWhg3h8/vd3Hz5w678CmE8bR7TqmOG9tKW2xcKMu81XvO10o6Hu5pQZSiBVFd450uSFlwi1S5tsZB5e/+e7SdNsg/UueOjCXrEpZWiB/lWg/r4udpraRykk+lw71QF/Ojm5rPkiiGLvoo0zy3N7VPHEr9Jr6ZiFk2r6OSGfX9Qtt0JH6sKqZ/koRWEX0yDSh9MRI63cBxRkfzTehiCSdX4ohilg1Ogh0SxbtIEx5Q1gvnyu8KRTpVxGPFO63USN1LfNpIoi3dB+fZKe7xPSWKe8VAXNYPu+F68Lf8SqHoVKEAcp0UfVqjG1KQJLoZX5MJz4wVXX1LDv46FVm9pqE5qJFJNk+UaRO+H4BbnnRMW0Sks5GiXdJ3xc8i1cPhkT6fC8l/SnS3qah61qTmt76riqvlemj7JQ0CpsPlLs7LfbVCAHDRP17ygNZgrPNkPFFeTTyZBmQ28PxL+gG3aaTwcaZyr6wqmTz0B/ihqVqizBHJwKf5SPqJbzIMk3lPDswCZXjVwDn3nQgfT38A4Itv9/HknHuXc240EP9FAL5d/v3fXpaCGgwGg8FgMBhetzALlOFVAefc1wH4xwjSAL8F4Ftcf+XxKe/9hyX8zwB8pkiWx53lfx7AF0n4O733v/OiC+Y9avGNsrUVfKs05ItmsVzQqbKCRwuVvKoY99yni6u8htFInMZ0vjF4VWlgyTexatEmYC8rY/WCfT+x+sKd0LcCtQP/rFrM6srBBqKGV7bS31Xg1TLf9oUrwBubB6xmw16u3FAkvKymNbSxeGtbhQy+4F3vAABcvHCtiyt0Hz4evufu8Hvv/V3c2kawbLBnpb2Zro5GKwLXI/ejNvY5WkZvaPU3XleQtYTbuY0rhKW23rxSy070VL9otIQjLoCsKk4ONW57qXWyuByuO3hSrU0X/kwsdNe0nGVFm5nHwfJSkVOjmiw3pVjl5qR6cvVIrXY3F8GaNSdhDNqz3nmsasiShkytOZtbwc/TXXe9UQ+TyET0p1KWtPpK6ReyUjymOh9LQzQLLfPBXK1Ny6NQZkf17KmfeenHo1zrYWtdrWKb42DhWpLFM3EIJn6qGrZQ0ep1OQrpjr3e55gtCrlsMGe/cTX3uXgiW3cH5iO2YkSfRMkZfWsIBkQS5D8At/hBSubQKIjQt0qFsIgbZP1rQnyok0RYIk8m8e5Obr2nnKyPOQtCdPfHDu76s1AqrtO3QKVWtb4IRGp66Pup4nmzZYt1vNC3/ShKlBkUXvqZJx9mriYRB6kzl8y7/NwKeTUsSpI8NzIpJxdT73kk/SxfsuAQl1+sgmRNuk4+zlqZO/2ERDLER9oa+UobbWm4jvMtW//I6tXK3JM5YjMkvr9iHFmtCu7nbuU1AFDJeG4TNgafIFY5eiqz1S+qwXDfjlapxPUj+47q/HkpcuoHcZjxc5zcAyKbxzmoHXxXOUmwDyjDqwUPyW8O4NtWnPMbAD4s4X8B4K8A+FwAX4rwCnoJwL8E8IPe+9962UpqMBgMBoPBYHjdwj6gDK8KeO+/G8B3fxLn/yiAH325ymMwGAwGg8FgMAzBPqAMhtvAZcBYfPdsiJn/yhX129KQDxovtJasIHN526dIML2kTXxqhHA+4K+jbYdN4d1mYI5jC77QDaoF+euoh6htTGdjvp2EV7EuIj1nxfEuK94rnOyiPd42TDe0mXpodzuD8xzYw8s0naLUctRCqfJEg8pJCOCz3vYgAOCFT7yti3v2D5/pwp/zlkcAAA/df18Xt3UmCCZcnSrF7YgEG7Y6ypbm6XljrtBvsqQfEJUlth9TJjxdLyIaLQmgVI3SW+o6bgDXS3jj8yQP/lSq65rmjceVwnj0fKADHj2jaeY3Qv2e2lSRiM0zSh1zQtFzm0phWzilNUYfMPvXlLb38adVF2Ym1L4F+RSqiKJYRcpPoZSccbndhc+eCdS99YlSEX3Nvnpk7BDxcsy0RhnvBdV5PQ31sEftXEPrJIttmpOQS8FCBHKYqFdM4dteC8KiLAoD6kdxOqlIRKImumBWhOtLovBN1pjCF9VIqB8SXdALLdTzuB0Qe3ED4zodrkSXi9SxFTxepaMx7W4g/RUiElGopxyYVzn9lCLH9xfnOKbIZQNxA36oPL9i9Y+7RLiiLwKRDQlLgKhfTDVkCp8qa+j1Lc8tkfrVn1c5TxZQiec23N/mROcT8Yg8uQ9NPoojNPyA4nNFXIL9IHH9FTL3lTSv0S1hsQz9fNrofDIbaacbnwrjaHxmvYvLR2Ec1CRsccjlS+pX8mSnTfGZTlRGvr8mijgxyzbnp64833kuZx2gSMll31EDgk/cn5kC6dr+oOqi+JGfjJ1+P+BnaS1zQ0NURr+kd4pluH5RzTra5kmFiUgYDAaDwWAwGAwGwzFhH1AGg8FgMBgMBoPBcEwYhc9guA0yl2F9LShf5cI12d9XSlFGpvcYKojKwYp92YBaVNv2Tfep2lRU4WPFtT4VJSN6SMsie3XfDxRTbjqqSaLuNuDPisOsyNP96hkNFyDrX8/oTPyJOxChCWW3py0mlJ6cKQxCBVnBHuh8tBA9IyfaZd0Guh6LFY5ypZbtbgYa2Ac/8IVd3KObH+/CD54PPp+cuhzC1Aca195C6VxLp7TA0UQoVRlRYvK+76+GqFk53XP0C+QT3x3s+yocZz9PNR330k8mXulua3OleS0uB1rM87+nVMUrj17Wc6tQJ8VM1ahGCP5UWlLNqkkxbrQZ6r+d6F0uCzo+Du106eqVLu65Gxo+EJ9YM1bxI8G9tgzpr421IdbXlU64u3kGAJA1Wmb2YRN9KVVECXKNHl+X+q9obO3f2Avn5drO5SYpkQn/humZLmF5iQ8VGq6syLc5DvSjeal9Z0m0xdjnZzwvJVTOEJ+TsmA5pvkqDtSK6GJOC9OVi+etzu8aZUP/RXooVjFuO7oaxQ0o5qUUtz6dbygupCt0uYTCV/TOTRVR+4XJ8v41KQmafTr1KXpMR4v5Zyv8QGkFrFLhy24pBxIOZKR8JypoNJ8OPTeir7mMpSaJihnzalkRlhXxFqFzeKLDuYSilydlA5D4dOro4Exr5PJFSnVF9FdSnFsKhW9OknDlKaXrje8JNOrDCfm/i77wmKpH7Tz0fAKVPxOVwGJE8wYpB8ZhWNN9snhdd/8r+Kuda0ii4rGfqK5+ad7MmTYaL2O/bvF6pu35Aboe3Wfi+0vGM/vgcjXNF3Wo/2k7TaiJJxFmgTIYDAaDwWAwGAyGY8IsUAbDbZDnGbY2wypWvQyrvsu5ri6zJ/cii5sv9Xr2Sp7H9YoVK7ED+34HN2EmFiDXXwNxvIu0iatFtGpH+ceFt5ZXyJLEYkEobmBRyWd3WGm6g6On1M/VHZKKq6+8gsYiFkN+LsAreOLDhWa/xOWR+PaoyXpYZweUVOgP586d76LO/6XP7sLLqyJuMCErgVhL5kvtO75Uy8Z8EW6gJmvHiApYdz6faAM1+eJpRCjAUzuSUa2zULHF0zW0ujwPlb4xVXNQe1EtO8/8bhBv2Pvo9S5uo1Zxg0zEF8qSTECS/2Gr9TA9Ukve5lrIa7xFq9QlrwSH8PW5+qua0Qbtqawe17RRfE7iDK1sgF9bUwtUYo0qg7XNVSt8NQWCIQAAIABJREFU8cQ+nagfaP1Xzf/P3rvF6pal51ljzNP//2utfai9uypV3e5u2+12O3bsECeQxEYBAhcRCBBKIuUiN1yAQOICwQ0SIAWJSyQQQgKUCy6CkCMFCW4CEiInDpE4STk4juPY3ba7uqv2rtqHtdZ/mkcuxvfN7xk159q1HLfl9vb3SqV/1jyMOc5zr/G9431TmU9Hq6eDRvIu8EiLsSf540Zy6DmEqdC+ixVlrI5fbHfyi+jgwBX11E965jmiTqT+OG9UjUW4Njq3MKLLffRSpxPmk0FWnCfOO2v78LPxiOivRhy4eT8uoyV3+TwpGI3JhXg0GsQIEq5/TgRqPp+9v7z7XKBIxB0iEvPzK+eyvGQqDIv8TePyXHp+WUFlXI7NmAlbaD9YCkdIoiGEEKoabYMo+1n6eQdvRDIDKqkLzlFjXEYyidihT+i3DKdOHcaeRFrjlWWqfGQDcT+KyATmTRWsyCL3HDorggqZSIY+f4fYh6UfVq/PAiXs+rR4OwvzYKRQjN2s+SrLZZohhDDIQBwRtdNvQCZWAbpFlOvMR/bvBz1EhIpiHoPU77G88QiUw+FwOBwOh8PhcDgS/A8oh8PhcDgcDofD4bgnnMLncLwBRVGEq8tEA7i+SRvE284oRRPoAJXQRkgDmlb4aJlVz7SkqpBesub/tEbbI8WuZAhfNnoOoELkRAmlr4yfOSPv15sZzl88nVMQstRXPCdi/ob1B++DFWuoEO7eq/5Z0EOFVJJe6HYDNt+3/av5+CTt04P6dPn4C5YX8RY5dUZl6caU5tRb36kgqNCeUgFO7e18bjMa/WSaG2BaOWfnh4nn0A8LpYqg7iFUsOkS7WV3ayISH/0t8zsLv5TSfTQ+mU/1oJcOUpZuC5GLi1Q/m9LKcYL31CkoPcbqccAO64++82EIIYTvvrC6vwXV5CxlHcBMChfWEa4epM8bGHyhRJvW2oG6JQ03BKPBFaTRrmwGbzG2lFDUgB45wTdGqa6xwTl4kE2yGR22Y5lXTiMUxO0OYh+g93TSj1t4V3Wg3yg/qWlAD0VHGIVGVuOdZFapEMDU8Z1yH+cI6shoUuQCZuIBQgvMvN44L+rvOnX587xmdJxnFDnSsGYfKFKzlnS+SJ7v/Pw6dcqofRRhgGDEig9UNl5ncQGO9yViRi9d1g8peAXvndNfilyMd3jz6XzDNxYVhXjSbw+KmXozpVemcV7BW2rqyV2TH3D0ihZ0P3lxB8rqNXwYexGdKS9swHfoiF2nzyF9FcaAYM8E7to0tz3ajmIiWo0FPLYo7CHHGQkY+S9kPq44HnBcS58YRs47bFP1IyPlFsfqA8kcaP1iXhgzqqTMUZn2DKnfc0ZQJlCrRTDpRf8sDPzIvIXwCJTD4XA4HA6Hw+Fw3BP+B5TD4XA4HA6Hw+Fw3BNO4XM43oAYY9gIbea7zxKFb0IIvkTofFZ+IqUk81+Qy0ifdD5V0iGTRdVxcvrKMk0mWmBdpBN1tgGUm4yeInkdQXUYS1I9FsUIxQqZZCJVhGJcs9oT8kyZws9R51vFrMpFFT7SJvTlfGaZDP2qWqg5NUrzgv/NGIxTdeqTEt1xMBpVvTGaWr1LfiPtCenfJOpeAwof22QqEg+tbXEd/kShSGnR02dEP5zPgWoxoJ0G8YDJaEQd/FYOqdLo7bT/pdfz8Xtt8ky6Hq2ebkZT1JuEOndTGAWxrFP+rx49mM/tpof2jNBLnoGi98lr81j76OP0/mtS5OhNIlSVgUpfl1amp++l9zYtKHpU/ZL6n0hhY98UiuAYSc8BlUZUzciQO0unq85Q32xwrHQ95Lm+gFfNOfWp8xFeNGfQwIQ+1GyNprRBP2mEX9NwDFozhb5PtNKLy0t7PyahoU1l5RivM68gSdOSNKsZTnv0hVErHVIZQSVVeyIy4Ca000xHw/XcC09ohSvqaSFAQS2SToe+L3NHmXkyIa/Tynwz5wnprCjyUeWO71Tq3JoiW16WdXW3NWVCejbNcyQnPtS5fQNqPKJcWLQd5xAZr2x7qkkWoqBZoJ2p/tbJeKNfFmmFqi5bgv5aGgs6tKJQeu5BH6XU6DaVpUPfOXf0P0z529oUNkuV8ptHrz1lplVQma1A9ytlPh0L0P4yTyml8N2hpihJjaDDkQ4/ddXiXEEfrdnTKawiVsu+rf2U/0wZMmq4UKtxjsp/k1CeJ7RtO1ilftqlb8iH7bdDOziFz+FwOBwOh8PhcDgcwSNQDscbEaN5BB3PaXNktqm64LJn+umx0T27d94XjNXVLAKlq5JYiZyPKAhgK1y2cEWRCHu+k7z0mVgFVpPmFVJ6Ry03ZVfZqTeLQIwr+6Jpjj5V9MXRA+Z/kl88gzotZJW9yFzuuVF+bVpb+uL0CB1gr/O8Etsj2tIh8jPIu/ajeUNN/fP5+GqTru8eW2ShkGhMd2NLqlwB7Ia9vNtW7EquisrN3IDMY3Wnp7DEgHYcpSMWvUUuHrW2+vzy55Ngw/O/+eF8bvPKohR7iVadEY0ZK4hs6HsxHo7HFLXrkaeLnXlHVdKPb15biOTDDy0CdpxS/g7obkdEgM5S5sqSDB989fF8/OBhyv/hY2vHEhvEOxnPPUVhsvCpnONGe/ZKWb1u0fdux9S+HVbJrzAJXMmm+6q2PlptEE3pUoTudLDoXztZn4lj6pubCREoHG9lJbwPyxXjEEIYWuln4yN7pjbvr2HO93JzfwghRFlRHmqOTo28Q3iCG9kH/V0X1rD5BPPCyryZR4DWPJOQItpxNQKVHVfLNBnh0ohBZja3nKszYYo5Tc5Fa2VeOxdCOdflejln8YC4/vwqBktrFkfIom7lIhVG9TT6OY3ZSXu+knkb0RpGMUqdjwZOtjYHjVG98BBFb22O2XcynyDaE7aW276QvjktI30hhDC2Kd2s7aeVqNeSgPGZ6CKvi7AGv+lIQAVMyFSJFIGQD/iEco4nCGO0SxO1AnPHVEkErGI9WP46aUB+vzazcAUjjegbcj2iTCU9n5St0doc10P15na8DiGEcD3eZNG8txEegXI4HA6Hw+FwOByOe8L/gHI4HA6Hw+FwOByOe8IpfA7HGzCMY7g9JtrLWTwnpmxHJ0Lfaisz0kDBDqcVultOVVluhjYPEqZjGCVNblbmW3qh3NxhNwLqFxPlZutl+jnEp+IOPyel8xXQQ5hq0AmV4reyCTazLcm4JEP2bAg5hW/27Mgqd5l+j02wQ096kFL47F5OlK1QTE6DUb9CYUII8ZzSrWvzhtqKuMEAfmPXgfI0JgrE6WQiDMNgFMDZc4nsFNAqWqEbkkrSox/GKZVp2xktr3hu1LD9zyfK2MXe6GAlqCL7It17aI2q0aHN+3mDOahb0qtujkbRO20tTxcinjCB4sbNznrnETSQI3aV90IhfPeLRkf7ka9/aT5+fZ3a5NyARoJN5bc36fqDzbvzuSmaqVQ56THOZTSyVL52wkbpJuWpAk212ljn30idNqhbmiZV20Snu3r8znzuCBGKcJPSHyuj+WwLe38rfjQd8jSCHtT36XjCO5vayteWSndbp/DpRv8KVM1S7iUllTSiSdIcMa+MPTat6yHGRqYzYxy+gLO4d0mny0QiVsoR1wQfILDC52d6U/aM1hPKwesznW/NG4o063Vvq0L7XqasEQARAlj5VmTInidla5nmVCzn8MynUH+zdEijFpowKXboFJPQQ8kAHDOfK5kjIRrTDTbfDEIfnu6YA3vpdLE0SmpJKqceZwIhSlez+yp8LDV79GPksdYP5zBW6qCUYSisVBldXvz7jjavtXsrc3ESWiT6RnWJ8onJ3bTFB3YDil/QeXlJ8S9Jv6zpcZauTy3bzvI3TiJMdYaYR8C8LCIbU1mFO9Ut3hJ4BMrhcDgcDofD4XA47gmPQDkcb8AwDOH167Qpsu+XkpxcGVIpcEpJczPzmr52vgk4YcqXFe8HLjROdFIX+WqsME0N5YTVXR75LFdWIteczIFs7/1yr7Wquaas/mZlzFeQrT6rvPXnpH1uEdk42oq+tumIENREp3rZkNtjM3SHCjhJZOnU2cr+5VYktSGzPR4sL60IQlzvTZjind4EEbR4w0rbhmAys5mIRGGrgsU+XW8OFoH6zt/57nx8FqGFJ5XJjIfKPg8qIZxFIrHqejin68cOwhba6Njg3GGDdCsiHofW8jmgHjXSSzd7Rl4uHqV7v/HjPzif20JQ4sWrtJK72yKygPy1hxRBvNlfz+cajOcHT1L7cYxTuEM3xdc7yKhL/WywkbxBPeowjIFzibVZKeIMu8cQ22jwzjo9VxzsmR4RNhW06CCWMUEM5XSQOp0g249oUiUZHBGRDQVWvFX2mvYN8q4BUswF3y9REGrTDLiu8yWjAEUWXpYV8cz/YRltKjNpcqyu25uQZha+ltcwgkTxhmpxXfMS74pqBU1zmU66rvcuI2EhWFSNZWa0ZVqxcshkzLXU2RzISXrJPNDki1WfjDC3OUWKMksM6bsUOaBc/0nmiEirBcyh49ym/BbhUIR4RkTKMpECjSaNy/EYQghFlZ4favYT7VvoJZlMuIi+oMwU55kjuqsS9GY1MeFbMuC40Mg9IlDdwSJQ42yFAduDEZYkXXqu6m2MFqOxCAqZgxtESlXEgvIOlF7XcUTLi4lRO1OFmc81+JZuzun9TWhyGf23EB6BcjgcDofD4XA4HI57wv+AcjgcDofD4XA4HI57wil8DscbMAxjeH2daFUM7a/fOyzuK5ZMlNySaMVf4nNekwkFzEwN0ksQWlfKV0HfFvjOjLqGAlrBmMX25x3eeGaZQTBesmUZLX+x3KMq+db34JWffXXImSRrIGVnVOoY9tVmGheTbmq3U69emdBBVe7kOihyAT4dSvHD9DliZ/MwqeCCUcPUG2W3NWGILSrqJHQ+0slubk1Q4upRem7sSH2iSIRQcrD5v0b5G+FVnr5l/kI3v/DpfHwh1L4IutmwAaXqIiW2aaycLWgngwhqnE6gyIlQQA1hBrbpzTE9c2iNy3jCDZ3Q0Yba3hMaE+744g8/Sb8/YFTHX//0l+fjGNK9pbRnCCE0oBSdb8RXBt5WHCbTYYVeC/GDUoq1KUERFKpjNhwwoKKMxwntGEEPna166Cl0YQ25rRMVNG4xHjegFGmdZRv5rW9r3+xGowltIEJR19L30Q4l+mkvg4ZjR0UkCpSjCOynMgehbxagFM3DjCISK/804bzIflQK1YgUvrKkv9GcAlJbE0JYp/AVpdY/aUzT4lyxJkzxORS+3MNq6dM03SGEE+Pa8ysiG6CWke43av2viETwnWvTLv2uclplOl9ijtjsjE52PqV+djrZeI9QF6qadG8E37toSCNTQQVQTrPXp+f4LaBgg9b5CApfLZPkBPqj0vL4TObxRYpfL2n1pPCRWi3/JgBlNYCCp9/Cgn2LlOGZroh+huNSj0FNDifUX730CzOxK/pNYj6ReyuOIfrW7RJdsMCH/J3B5tihTfdenw7hu9G+MW8jPALlcDgcDofD4XA4HPeE/wHlcDgcDofD4XA4HPeEU/gcjjdgmsZwFMqBqkUVmbeEhbE79a/4DYjoranw0TtD3xUzbwq+YIVmRPqMHnOkG6PKVHJIuwPTZWYfQakrW3ZRnwyKNZGuV4lyE1R+YqZMuO4fFcLdFL41kcKsGrWsZE3wZpHnm1Apt7dGE6vKpERHBaEWFImNFHCYSOvDsdCnWtCkii5lutqCinFBdbiU5vXeaHsvXr+cj3dXid4yTqRakqYlVJEBCk1nKCMd07s++cWP5nPNK2uTBzFRwwY0zW1nioC3xVGum9rTAUpuB6mLDhS5VsbLGd5LHBuqZnVE47R4/0lUBM+l1eP2Hbvh6z/+5fTOYBS148EoijOVFX2D1K5nH30SQgjhvXe/MZ+rKqMU9YeU7xIJbB/Z81uhrEWoc46j9CNU5AS+2ziqQiSU9zDglAmUzQvgYkbhDda1qSlu4YGm3lwdaINjb8dn6YenI1T8oNJX14kqWg2kk2HykP7XcTqIS/po5Bwk3lSknBYZHU99pPDOkSRISTMbxEu6XUG6XKbIp/5E68/r8Zhx5Ei9W/oH6TFVKTNFuplbzXLgWM+v0P5CMFW3bK5fUQm82wdq6Z01ZQNBDfhWPI0ybyYmGRfnxs/8Xwg5Ba++sI/Npk1zRx9trq1rm09qoTeP+KYOxbJMFf2yWGeqLEibRnpW6bcK5VNKaoXvU7Mx2qGy9aaMP2ovUK+8olzmI4QQepn76GlYYw6qeh07oEaTMited0Pmg7ikdbKWStIyJS8s8yDzzbCiKpmOZZxmVE6kqQqjFWmNdvxokyjVT6unWb2+jfAIlMPhcDgcDofD4XDcEx6BcjjegClMYZyG7FyRrYrhXlnGib+BZYk8miWRDfpIzX4feGhlYzEvDyNXl2UFi5tYsXI0LyxR7AK3FrpozKgSIzt51Uj6SGu50PqZ3C5PzZuZ79g0DpmJ1QTmd2WLX9hALdEBel8djxblqKu0KrptEG25sSjHWDfL/LFIssI3FrbiPpRplf80WjpbiBtEcY/vj7bB+uW1RaCePH0sZYMf1biMNNJvpDnY6m/3YSrf4VctQnM1mtdQKZu5px0aqrE6aWVVcmCZNljVlJBEhzbpJC/szyET5pBnsUrZo526SgQRNhYhee/LT+bjh19IK9bf/vTX7HlEW4Y+laUurR33e4sWffOXPw4hhPBBNOGOzWNLf+xTW1GL5PET+GSJIMP5DEGGC6kntEPXlYtj+nlF+MqM88sQOcAcMcocMSJXNYVJJCp5bq2cQ0thj/TbI1LJCFQlkdSitL7Tw99JozFlyQiP5JNL/4iKDTLeBq5o49Y58lEw0sVojB7g8ooXUe7jtKbeY6DQgEWJGK1ZiyZxrlZvKGuHKSuTHjGSt/SJKnK5Ebs3LifmXARCvwt3RRH0d0WdJ1hEJK74PGX3IXcWoaLgAG6QREt8XygGciFCOFND8R1LoI+pT06I0IwUaFFvLQhPRH5sZBzx+xVzxSYtiJVpVK85jMfMp1Heyf62xoDIvj/woVKRCvY3zFEq3lBcWNRrWyEaJYIWHRgQPb329AAhXbIU5s8Fvatk8I0ZKwR9S6J2A/re2j95GHWrKtzQtcub31J4BMrhcDgcDofD4XA47gn/A8rhcDgcDofD4XA47gmn8Dkcb8JkGzCVLlFkPhjchBvkvrsofkvBhLgSG89pGfLuu7KnVA3QDgaICwziOZFR+MhuqfWdK5tEQwizdQl9LuCFM7NuQMUgE6colV6T5Rr5X/Ih1nygiDjzf9Y3qM7sH15mWppB0IRO8DQqpdBNZTSm/WQ0rUF4K6Sf0DNqUFpGRr0SihuEF+JAqot4oID+cjgY3e/mNlHvHj402h1pWFrAcrLKvzwY3ezZL/1qev8z0PIOVv69+Fydd/b8KesHKX8tPFLO8A+KQv0r4bFSymX2lxHUtkkpN1A1mQLKJKyW5srS/PIPf2DvH5PP0xG0x77lBnGhWY1G4bu9Qf6lKTYbE2QYWT4Rj3l8afSaBvceexH8wKb4Rl5P0ZG2N8pROyiNCJQhjL1a6UlZ1yYnVuoKVM4S7bSTDAw70DuRl07G8flsfet0sDo/t6lOtw020pv1Foxr0LdVO+cOoRdl+nBeHOJycE6ZiAJpxkodu2teXdLZCH1vNteCUqU0rWJFWEIelN+lIETEeCOdLX7mvkWacjxNvE6vHplDqiXtLz0nvxntkMfT4hzL38vYoxCNXiU1q8j8g2TeW6P9MQF+C0jb1G8ZlWrQT/Q7O6E/Z2oj+oJyncKnfmP8fmUiF1qnFJnQ7IFmnFGOlRqdMQHRukW5ODdk1OppmQ8I7eg3JKLOyi1oizIflGin6WzfkKFf4dCveD5lr9funNH+kGc5HED7q+BhVsq3jv/OYP7bKc0n3ditft/fJngEyuFwOBwOh8PhcDjuCf8DyuFwOBwOh8PhcDjuCafwORxvwBSmmRqg6ntUoOozD5h0X1WTHmJpDaJmVYE+UuJ4piDg/TP9JPPzQP5Mbmk+17UW4u8kxH+XT5NG3knvKEjBUO8MvDOjCChtEZSbLC09JL2Hqa3QGteC/mtiUrktC42s5JfsGDIYZz8TS+D61ihNrXh3ZDQk8BIrUSgrcC6jz2iRqJolZR4hP0blp7mGSbNB3/r4+bMQQgibLVW/8LzQKZpoFLP2YyvA819MnkeXndVTs7H870Vl70Vr9bDfWz8a63T9OFmeTqB99KUqUEKBShS0RqjAdVThU8oO2o5ePIOk+fDdR/O5x+89no8/vk4qem2LfHQceztJ31Tqnn9qyoZfePdLIYQQnj59dz733pUd3+5TnVc16JsBdMEhHVcNFPekTCXa5gTTpKpVXzTQ9jBf1INSXunZQ8qSvgueSqDiVHK8qa2dmo1x8Cppx6oB/eZo19sulbWprc5qqFF2Z20z0DvX1Nvikq7G8RJX5Ds53saVSeAuzyOj8C3nJZ7PpogVFb54hyfTupSoPDOibTKG4UyIW+STz4fpDtphsXw+8+VROh0qKiO7qX8g2XBUtJP+N2Z073GRDmdnq0fWE27QbwHapoAnVFRqHCl6HPtKK8S8WFIJrlxS6EnDLkXdr0AJBniPqSJtwLm5ne6QfNX6YZ3QS05pbnxPptYoPlEDGoJ1Mkk7czy1pDnrraT1Q/kxil8bmY5Z/ev5EnS8FVpin83L6ssWcI7/kJE5gH0HdL/TlObFw7Cfv3tvKzwC5XA4HA6Hw+FwOBz3hEegHI43YpqFGHTlq8g8E+iRor9cCV0Rmcj2J9v/DH0r6S8jWNnq6IqkxISNuT1W5EfZwF9kG3/xfk3/rs2esoAUG5zj4rEukSHENWE5bKpWfKyyjK8JQUjUbMXCIwT4qWShOnp3SMQwW37FYbGM9N28tntFO2COoKRj+Cs16cmmtpVAbryOc8QAK5UamcA7B+xmPg8S+YHgQoW7DxIlePHqZj736PGD+XjsUpl6rAqePjTPp+469eHt1nyOZpWGEMK5S4IIeygGHCCoUEht9RAjYd9V8YUOm5pHWbkva6uHGk3SnsQzaaBfFiK68tjTL72HNO3529vUUKcDfEfQnwoRjyg667ztrWXgn/jxnw4hhPDVr/7QfO4Cdd6Pz9O5dywa07cWgRqalNea9TBombCifEY7lxIB2mLlHJ2zl75foPOXxXJFfxrRoceluEHApu+iNr+xSjy16sbqvLHL4XSbzrcnK+cGfbuRdFv6vsyNwg39dtkiRHauyFamVfAAc+l6QAC4K7KjJ7mRfg6NGBhhmttvbQzbvRQs0KhpLFdW+4PNURSZyLytRhWRYDSFUcderq+IKAQbe5kn4YogQ+adhSqP8o1hNKXUiPDqGy0vFFnIPJFUJCI3xbMjGfyxsnf2LRkcy4YuGM2JWmfrEaY5iM8IGcuyEiHTIHrWN9Emmn7m84RC63yLKSwUKF9YiQQy/3EWWUJ/Q4Sqk3mV4jYV6qSSubUY11kdg0aT2Dl7vYZT6EeT9POK32YIzQwiSkMvu/1gzIUXQ4rcv+6us3veRngEyuFwOBwOh8PhcDjuCf8DyuFwOBwOh8PhcDjuCafwORz3hoTDM1qehaiLUqkq2JCJzdLzZm96RoDKMosj0Khipo/gVAB1TIZwB9pebg+keVo3RdKsTCv5CMHYOWWFMmdJaZ2QUgOKR7FC0cuoGjIFZVyRUvIBOhgZCjODjyoSTDNRDEpuuub7xbcno9OdjeY1nBK1bfvQpsdtY5VaxERzKwrbXF9VdqztM+INSifsUc9jMP+gQ0hp1qBiDi0ogLKp/6NPjcJXbI3Ct4vp/cMR7fTC7r2skn9UP8Hfp7B+VG8Tj6vsjMI3wT/oeBKqCqmQEKHQ6u97K9N5FEoq6qHDBmmlrzQVxxD8jaT+n3zJhB2evzIRiFfP0vEEjzJmcFelMvVWDeFhYSIUP/TFr6V8oJ+8uv3Y3r9L5Uc1haG0vKpgA8U8RhGMGOn1ApGIXnx9WCcZlWaFwschVMtz07AUnwkhhFHG01RYOxcQlCg36biqrZ1Z/5OM8wHCEhMoSXW5k/JZf9cWm/jPCVLoZqUau0wzHp0vKECyTuEjNYtrv/Ez9+W0vtkTKXLsEUsfKXpSFVHrkjxmqaf6gHNoKKVYTiwTr1f5fSFkghJGDVzfhK8UvWLFRzAEo9wSU0+K5bJNlPq2JmLE8+zvccyUBtL1O2iDk4iIFCXrkV5D6Q3FZAOuwnylH6MJNOIprFHEQL1Gm6oQUId20PLl33TQqKUfZNchmBDkuGQ79ix0mkPqGjTfzD9wKdxRkPKslNkeZmz8N8XcjBSegHCG1A//nVGPqf67wfJxQ8qwlPUB6OQbTFIqiPFqsjx9NH00H//6+O2U5nQzv/9thUegHA6Hw+FwOBwOh+Oe8D+gHA6Hw+FwOBwOh+OecAqfw/G5EPUgCecPUDojXa1Uhaw7BO3WfDSmcYVOR/G4YrnGMa383wgZoBG0ijVaBmGeSKSSkEKY/WTlSPcqHWJdFcvKtE5rNNbKiqHIndB71+kBSo8ibZH1OJcO5aSnxfGYvHCevgd5ssn8lYppSeuoak6l0g9QjlkVC+1UVMifHHadUeB6+CcVqqa4tTxdv76dj3cPkldShBpUe2Npdft0/Gj71IoEdbVNk6gyD3cP53PDGdS7673kD1QSlF9ZdBXoXqrWde7oNbNss7EgBc0K8M7Td0IIITSNpfnsO9+xdw6JIliCWkXK6E5oj7/+yfV87sk7H8zHm2167tknH87nmtoU/R4+SXXSFVbPfWHXS6UHZX07/aI7haGDCp8oD06kPgUqvo1yhl40dtkE90D1pMeZfNKpGFeBblcXQl8FL7EELbFpUrqns7VDC6W0ok51Vjb2/lryMoASlEuNimdRRh2ml9DSx4l0vnWJe0ZSAAAgAElEQVQK35IieJdP1Oxrs2ZaFMK6WV3ON1zJsx5sFveFEELUsQUVvoxqKoeZHVUmBZfah9+XKfN8Ev+hz5sqAfoXxhXqX1z5AK0p8mWKo5k/oeT1Dm8q/T5WmPfog6htWmRURxzKmOH7y5LzutAqQbFjMWt5blhR+5vu+mhr3ujpl43dFaokruvIKkv2bbtXPRdH0v4HUiTT9Q3m1bEFnU7U+eJk43UCPVapoJn3pCgv1hivmw4qe8c01/d4D33b9kLd+7g1OvV3Tkbhez29Suk0Y/YNfBvhESiHw+FwOBwOh8PhuCc8AuVwfA508UgXofIIFDZ7FxqZWI+M6PO5jxT9i5arWXovg0IB6WuUpYf/Tr/i3/N5KFZWXIkpeycuzBEqrgjz+Tc7kfcrEYm1qFfmYzV7rKx5SJkfS7aBGVExXfUssjq1Otvf7uWdWzxDJYHlijnXWudN8dhUXs59h9GKzD4+/aBI3QiPFHnnFvV1PFk05FCke5sTPFZe2/VGNmaf90dLEyvBexF86DZQIMFS6cVlEqGInZX5hGiZRs461EnRpHdy9bSv4Vh/Snk5w3uqurTn3/8gRctevv50Pvf65Qu7V+sUdVLVXNFO7715ZWX+4ScmInE+p3ZuNvbMo6fm+XQO6V0dBBe4ab2YIx+MuBaLc21H35pUv0PPMbI23uw4rq1eo6NMIz/jEi3PhGasb9dlipjUlUUyewjEDNKPygpeNIygtamfNDXqXNuXXnCcD2ZxAEalwvKYEagVDzhGgO5IwN7JeVnqd7xLkMHke+xk1qZLkQltCIpZxBXPIrYtPcxGRuuQE8PyeVaKzbf3X+EvMtkc7bucJNfqkWIfysRYiw7aMee1fA6WfKDv1vChmrSCWPeIMGnEnpE0hvBU3KBDlJ/fwlEjUysRNDIUMp+mlW9y/s2XvkEvN/77QKJRI77P2cif8xIXz6RCLX0csyi/+lDhu0JPx9mTC3OIfso38IprUKWtzMenk/kIvupNLOWTkCLy32xtXv5ktGhU37SLd76t8AiUw+FwOBwOh8PhcNwT/geUw+FwOBwOh8PhcNwTTuFzON6AGEIoCw3zK12uw/W1EP/6sT6f+Y1kPlFrG3vlPvo85EZMIYTP0AoZzlf6yx15Wt8+vaTCZPtuV3YW5z4aK1SZTJgCNC/1aAnLy6QVkiKh1KlivOO6nCc7kKzKQqgLGRMEOejOwyLNkbu1JX3SKkaYb43yXANaSCN0tiOoHNycr0wLeoCMhVHHeqGlvLw2WsXDyyd2ryQ1tqB2tVgfa9MLBrRTB9riuUrH+9GoGtdnUPSEcjRE9H1QAJtmJ+Wwdm6l0jtSSkDrUB+pAR5mzSU8Ysr03He/YyIPGWYxD9AzS9vUv98nKsnrFyYCEZ9g47S8/92HRuvrRqMIDlFojdHqgfSicgCtU8/FJZ1tgC+Msos4HNgPy1r6Vs/ncVyq/w88uNB3B3lBpGfRYFTOQs438C3r4BtzlnmmAnVqgDdXexJ66tn65iY2kjYpePTSUW8qDjh6Lmk5yHGzwzWRCU4YKtAyheW8x5tJqc3mqLj0svs8EQmljhUQiVgXraFwBD8GQu3KyoFX9vr0HRS+tXk9LJFVWUaxlHeyzVYYV1n+5v9Zp4uFlbl85HWpcrZzHZeiM2M2nkGDrmo9uZo//U6PHFCZJ5X6ti1p89l7imJxfaAwBL61KvgwQrhiWhHRmEjZpKCRTNwUOGmQF+3TI4R4alD4Wk0rmw+QF/neDGeKTEU9sPv2+/n49OJ5CCGEFzfP53MvJzPTe7ZN34hPS/tWHOCTqKJAVVmGKa71yrcHHoFyOBwOh8PhcDgcjnvC/4ByOBwOh8PhcDgcjnvCKXwOx5sQ46wEtOZplCkCCcaMImDn1yl6SwUvYprpKeuKNvquMeOrwQdjJe2R/kmjUoJINQmL44wKkilcJZDikHtqCOUnUy6yq0WpKkbL11OtiYp7UbMPyk1GH1KKAqhTERQKpTj2oDoUF3Z9t01KbFVJihbpP0KroN8WKE8gXNnjouJXokwt1KLUh4tqh31GtxMqBuijh4Opy733ONH5DjdGq+jO8GmS8tODpUf+Bq0LlKOsjQbWdSmvZ7xfqY4hhDCIJN60BZVE3kV6ZI/yKRWmwDO0RPrkZVJ22rdWpkxJTJKlz1HVmIreq48Sda0YLdEabfrgQfL2iqCw9Z3Vaa/UPVqk2eFMNQJrcaZE0fKnYt+R3zbzf7ME6lrrzFAUGDsqqgW1QaoQDoP2I/oPsc7k/GT1EHFcyOAaqDaYcQxTXXWt0QLrUo4L6y8FGnKKSl1GnlYV80CBW5kLM2oxaWRzXtdU6sI8ebGewbiyuYPKhoHUPFWsQ5LDUiUvo9spXRHzasYA1Lxm1GdcV0rWtFZP675F04q/Ef2e6A2mdDzSvbScYzaXsx6LxfWMoTUtn8mUCQv1gcIzqJMxiK/bGpcQyCnmzL+kT4pfRqcTlT7kP/d0EpBCN39fl96KIYQQZd6jwmKBd84qeR0VVW1slVIZTLPvMLbU0xB1OoD6rd8TqreOeFdU4zjkqRdV0PZk82r/2lT0bm8SjfmmfTWf+6Qxit8L8cI7bzDvoPwDqJ5vN4HPI1AOh8PhcDgcDofDcW94BMrh+BzoYp+uJuURJm4IXbtu6egqE4M9dEHS9+RBrX8EL4Vs4++weCcjVLpqWmQrhRBHiMtoS76qp2Vez8q8xxVp5nt8JbqHJbxSVt0YreF1rTRoIIQ4LdthgGADV/B0uYyREYpMXGw1imHP9NjEW8nq8BkiCxcPriyBoCu52Gy8UkHc1D1ombmmVTFCJVEzeENd35igRHf1XkrnaJv7b28smlL2EgGrEWHaYZW9lsjCYM+c4TOlGhkRm5XX+kmPpf1BPcwq1D3bQVdv7Uxo4dvS71NZGCnjSmspggj06wqTiUi8eplWUJvqcj73+IEJRqjKCCM4kX4tEh2dBquzTMBF+tyw0vcj+lOPfqTdgPMCowCHSgQNEMHJvHA0sEEvG75X/m9APU70nJLjOlo9VZX1qUoEIwb0vZiFa2TM9DZ2zsfUZxpEEkvkedK5BREouI2FUQZf1vc59lfmwLi2Of1O/z1pxyxatIxMEIwIII6/lvobj7NI20pULItuZr50ax53d4lk6MmVCBUZDog+FxKFZ5VpPWS1sfKiWKxnehy1nZlPemNJtITdiWG5SQUbwPBA9LXUiDa9o+jztDIOs2iUjLNuhS1xV4Rp7Vw2l8scV0/s72RoxOw3hNwnKsh8Q1YII1SD9IOqtvmA9aMRxpKReVRwlLwWmMO0TQ74ft3iW3LbJdGd15V9Sz6N9l24riTPEDyaRtSZRL3u+jfB2wSPQDkcDofD4XA4HA7HPeF/QDm+LxBj/FaMcbrjv4/ueOZnYox/Ocb4IsZ4iDH+7Rjjvx2pJ+twOBwOh8PhcHwP4RQ+x/cTXocQ/rOV87efPRFj/JdDCP99COEUQviLIYQXIYR/MYTwn4YQfjaE8Ke/V5lSuoyG1qc1I6Ww7n8UVygQK3t903mhElVVs37DG8C30MdC6QIZTYkZED8SbvAuC27mFooDfY5QzJW9zBkVZfZ4ydgr8A8SGhaZHErXK7i5nX4ewtqgf1CWJ6VDgI6VU69kAzXoHQVoVBvxNArwPGIGaxFXyGxjQHzZbBM9KtusLDQobjRnnY9SJm6grhp7vpsSnY6+Kj38ffa31yGEEK5AsRvRj0ZJ97Y12sYJzx936XxbGiWGtBXN1zSC1oe8zGxE5H+QjjDAQ4siEqN6nIAKSBJWpx4mOFeCAjh72KCcKF549TJ5l1xt3rUyoe+dDmkTdSxIaYWgg/pMUYCE/NO50Ng0vjIeMsrrzKyit5Mdt61Qbgq2AzxqSqUxrdO5ZhoVKTXs+4MK4oCKGZdeRhyPOY1KBBlA6+uECjQOGNc7UBDVvyezWVqKrjBP9GwyH6cVA7oQQBlbN6vT+sm8fgLnyKX/UC7oo8Ica8IW6/52lg1S+EjFTHWSizygn+jcdYd/31wnK2IbIcDz6M4EVFiDggv6fVunJVrxMO5xp/ZJ1nMEzTrweE4K40DaIWOMQlTGPJtIl7MblGbN5dMKY6uf0ny+RtHjeFwT6OB1Pj8Ld2SUXMzhKyIR9A9Umjlpe9nccBYvupNNbJuL3crz+Nbguxc6oQR3VvlazyXzjP85iZjH62hz/avSjg/675Se/07gvFxJnvrVfx+8TfA/oBzfT3g1TdOf+7ybYowPQwh/PqR/W/3T0zT9P3L+Pwwh/JUQwp+KMf6ZaZp+7rcysw6Hw+FwOByO331wCp/jdyL+VAjh3RDCz+kfTyGEME3TKYTwH8j//pu/HRlzOBwOh8PhcLzd8AiU4/sJmxjjnw0hfCWEsA8h/O0Qwt+YpoW80h+X3/95JY2/EUI4hBB+Jsa4mabpvHLPvRFjnCltDLMrstC1KmwhhE86nDIfMs+mzAcqfvYU37Sev5X3bGtT2DpLnnr495B2oSwkslPI/tGyUMFpmqgOt3yoBJ1gU6qKEML9jVGutqPQ4UDvGKS5C6jURaSvdIWRDDtSGJTFREoOWZfqV5Lx/kDRK1P9NaCKbLam5KYqTFuUgyp/Suvo4McxCAWyaUwxjgpU2sXHjAtCBamU5oBCN1DUa/ukmHQcjNKyeWJ5/uj5xyGEEB5sH83nOnAtX75KKkyHaMpLA+okipfSaF0rNBsr/7RJ9x4neJRU6VyPc1SgUlUsCERltMeT0FeGjM2FfibUsBGeR7evqUKYhv4jeluBftSd0r0VKWqZ9ZfQ3diP+MkUqT0yYlUAi74oVTZ25DpVvzAdlHJ8OkMFDzeU2ucyVcslT4ZUwpj5UKlSGmhW2ZZRoc+yb1IYUopfdKDwSZseW1PqmqDyV++EpnuHoKhSCGPO8cN1PSZdjrRIoZeShsV5VehJGY2K9FSlMWf8S+RlWPpArc7H/DzoXE66GZ4Z53aAkhnaeT6dG4/Z8dJGKoxUxFulktIfcEVdT+f6TDmQr5T/I+0Q9NBJ6eLIR4W+VRb6faOvGdpZFSTx/DDQoy0dx5K+ZWjHcpnniv1YKqWiCp9cJy0w88HStDOKWsD1pYofO7rmrymoQLn0dZswBw2YI3tRGTzD+4kqfLXOB/z+YGxObXp+gidi14uP09l8oA7gV74S6voLKLKeaszb0qYj/KpihAec/nvpd4EKn/8B5fh+wvshhL/wmXPfjDH+q9M0/XWc+4b8/oPPJjBNUx9j/GYI4SdCCD8cQviFz3tpjPH/vePSj31+lh0Oh8PhcDgcv5vgf0A5vl/w34QQ/rcQws+HEG5C+uPn3woh/OshhP8pxvhHp2n6W3KvLqO/XqSSn398x/X7Y5p1FmbfmMwpnZ4MU35fOrfcaJk5kWOXbCEr1ePa6mBmHoUVQFm+rzGUS6wG6ULnBG+IAatNva6GRW5ahxeO/CLYEY6w3eml0BVWuK4OVub3ygcpHURwTpeWv4s2HQ9HCBoMyfW8RViqzBZ8p+wnhBBiB6EC+e24ysyNvfoMowSov434BhWZYAKiQbK59jLYKnvRYmO1dJgWS3CdRJiaAv47WLIuxYtn6DElw++k1ihGZ6uGp96c4l9L/m8Hq9t33rd3tZ+m9K+hsnDZPJiPH9bvpFcON/O5a6xAHof0HFeHVQAkhBAqKVdN3xWJ0HD1E8GiOXJwqq3uTqgTWSgNsYQYBiKZbZH8umK0TdXffvYde16ifpcX9tJL9IlGVmoHrCmfe6ufcrMUXKjQJn0lG/UnrlincwVWhPvMN23pD8RIXyt1xaDSgBX75kKNoOxcheuV5GmclivGIXCDN52YGCVI89EQGLFGREF92/BMIeVnPXScF0eN8GBeQcRcfdW4Ch9ppKWRffrXcSO/jA36bXVIq5DJo6H4AaOr6rWDMkVskK9VzIahuEk9zNA3MS+PYypTx08FI2TStxilLjcQgJHrjJJnfl4SnefYKgr2M2mToV+cC8HEaBjl17YtUU72PZ2Pe/Y3+sJJPRZgA1QIkWn0l1GlcUSkNS59EmtGmCRfZCvwwzBHMCPHI+arJuW1RGRE639Cf6VgkfkgLsVv5KXpeQYs4ZGmn9IIX7eiw80SWSr4rcPY1DmS3/fpjHGi3//Krp8hIqF1TRLPWb5rNxAM+nZtkftfq9IceM3ANOq5lnHMb3JVMM/y7lCG4R/Fx/J3EPwPKMf3BaZp+o8+c+rvhhD+jRjjbQjh3w0h/LkQwr9yz+SW8lhvfvcfXE0kRaZ++p7vdDgcDofD4XD8LoCLSDi+3/Ffye8fwzmNMD0K63j4mfscDofD4XA4HI7vCTwC5fh+xzP5vcS5Xwwh/KEQwo+GELL9SzHxbX4oJCbXr/zmXz/NdBjzcLnDe0NpEaSnYAO5+Z1kKg2LQ24MnuZrxfJkCNg8ik2wG2zsFfpOAXpKTSqLeGfUCPE3yHMjfIotaAekbZzk9Vegjn2xvJqPf0+VWJTVxv7W/QSbT9WfaU/zD6GqwJ4no46p+EEPutcI3kU9CiUn20nNHa3SnjhTFBC22CgdDfQTbnwWkmADmlFB8yuhcGy4gVyoIsXBqA51zXpMFdlTYAQ0MPWeiqhnbjbed4n2uAGNaI82vXovrSk8+2Wj6KnnUAghFLqRHhS8bWNDTmk1bWEUtxEN1AntZOJG/XnzPnlMOJzUo8yoJO2EvqFtyudXPGp69J0Xn1r5ogykpjH6zEQhmLl9QVNC31R6blMZZ7Xclovr3C1drG1K5zvHFU8jUq8GLRNFEpC/03Jn9pRtSq/yvKUEkBdJHzSjIfPnqRbPsHyalx7vHIQ+VG9BI95YnSkNLK7QtdJxLXm3V3K867tI2yvBKdacVBSCQTVVQsGjbw299pR6NoAadd5bP7i9TWPrfARNaVRRF4h51Jbm1aMnIYQQtpcX87lNY/Xz7NNPQwghjKCbPfrgvfl4nJsRbTeSIph+qXsxUtxH0h0Dz4UFMs+jSUUk1qFeeZxXSQ2f85f539nz6j/I8TCyAPp9RTvzeOZcr9t9zccUyMh89+Q8+6a2aDZGKUCyIjiUeTbJbwXhhrJnm63QzZFl9WfsMoEq+mzNhcJle1c7iHgQKOycTweh63WgJr/q0hz50e2z+dx39nZ8qBJ1ewDXkTTeQj3G2B8zHRrl3L798Zm3v4SO3+n4o/LLP4b+ivz+iZX7/1gI4SKE8H/+ZhX4HA6Hw+FwOByOz8L/gHL8tiPG+BMxxicr578aQvgv5H//W1z6SyGET0IIfybG+Idw/zaE8B/L//6Xv0XZdTgcDofD4XD8LoZT+BzfD/jTIYR/L8b4V0MI3wxJhe9rIYR/IYSwDSH85RDCf6I3T9N0HWP810L6Q+qvxRh/LoTwIoTwL4Ukcf6XQgh/8XuRsWkyqpSqTFUVKEFUu1J6DmL0JVXJ5nvpGUG6nfyGJa0i9wOhP8+ScEEhNw2zR5jpZBQMVf0CBYD0l43Q+TZQoStx/FAoQV8IRtv7I1/6ifn4H//6T4UQQtg9tr+P/7e//bfm47/34bdSno+g5PSJQncAreFM5cKZSgllIvj3jCehMJB6RAakZH+klwxVu5p0Q7m1ROuTHavnR1laniqsRU1C7atAtSiknnv4OG3gZxJXFBonUDFqubVG3+O9J6EIRig4vQKlZxTaZQ8FxZevje5WSzei+tpQodKEnjSZ4F0ooIgXpJ/Q02nmYGa+MUsuC72hzvQWkaIWGEN8QRRJv9uXt/O5/d6UA69EnY/pd/BT6UJ6V02PMmS/Fd+ZobM0R4ydcrukPGmXjFTiIg1rHvtQ0qK6mpaVrMcOFMfTtMhn33JsqHIgqMPDsv4mnsPgKWfKlL2hG6xNOqH8nklbvEj1XIEaFaEuqjQ3uvkNVDUTelFB2iPKpxTAEfNahXsrVSIDjaoBlXWnKo2tqVLub0zN8igUvcONKZG1oOsNqtaIOTJ+5jeEELrB0mx3qc0ePn06n6svrH4u+vTk099jtL3yxsrUN1Jn6Ps9+tFJ+nRVWQ4OPVRDhbpHanNOd1O1RtC9hApLNlbBfqTvJ52N/VROl6S4ZRxDKQf684BjnS5J+aVapdImSScjFbZU+izyH1fK3GdTUC2/oIeSeibPTFBLpM+S1kk5sB5JmU3HHdpuQJ6PXepzpNhlY2NWgkVFg0KvFH3659ErcH9OfXt/tDny5SnRR58dQduL1nfaSmm6S9/LEMxfsaA34xoluRzDPXW8fsfC/4ByfD/gr4b0h88fCImydxlCeBVC+N9D8oX6C9OU2xhO0/Q/xBj/qRDCvx9C+JMh/aH1D0MI/04I4T//7P0Oh8PhcDgcDsf3Av4HlOO3HWKS+9c/98blc/9HCOGf/97nKHtL6HsVHVhGmPK91mkVqLiDGDtv+s+cyj/39ekRrpph2U+PC+zipLfHtOLbMjEx3awM74iWHi+62oXIR4nruzYdPy3McuuPfN1U4X/y/R9N9108nM999Q9/dT7+7/7X/zGEEMIvfPqL87nX57QqV2EZ+kiNBl0tXClnCCGoNQpXGnsIPqg3CzfJntFmZ1nVnS4t3FIPFmFrD9cpHSypZ9Zg4qlF/x1t6Oyveqx0VnIvgz4dhTV0BRIdhqt+Go3SFc0QQqi3dv3VOUWbNlfWTt0eq7+yUspoTwHPo1FCK91k6Y/IX6Gb1lEmk2hAORiN+kzeQ8ijRZXkZUTEc+qpNJDOf/oSYpt8v9x6PGN1FwNWU9pi83+ICNGpSAU6Ejd7T+L9VcKDpZB6zMYYUFil2DnOAdIBGI3JIjetRCoxyQyTrTifJWGKLESsFA9tOh47pg9hkl68frDK3meb4mXFvrFMbx+I2AjEcyjsUUo0iH5bEwRMNCrLOSxAYEXT5XiaYCimzzXI89a6aQj7VIGvn13Pp24QfVXxA0YhLkvzSJvnTtSpevpRPGbIxFLE3+4Z5p1g73zwKIlLnI/m5TYgCnDU+oXwRLGxdqqv0txUXNi8zCi4Tkj0NxqnlbHHsSnRKEZZa8ybcWYzYN6lv6AcUqilyHwSNU/2ylxcQdJHO5cr8xE9vLJQZdTn8X3F4JmkH2cCI9J3evhpRTIXVCzkiLmypT9gSn9fwJ8PUfTbU+qIe8xBt50da9SwRQSr7SG2IvMt23HCOFOvQHqMMXJ0e0x97tjuLc8x5bWrLR/naHOI+nyNJf+dssYCyJQt7EjqJGaxwLcTvgfK4XA4HA6Hw+FwOO4J/wPK4XA4HA6Hw+FwOO4Jp/A5HG/ANGFzbLUMSY8I9yvdoMj2oNJDJf3GjI+38lIynoJu+sY5UBhGoRFh73/ufyTPQVsgYE94iGFJ0SMN6yhh+DNoAxfYgP5A6D9NB++o3tLaTOl6sbc8PZhsM/ef+KmfCSGE8FM/8MPzuXZM1IKPXz2fz316Y1SXc58KU1eWzuXWKDevxkR7+Pb1R/O5v/drvzAf34i6fYt2Gij2IZSuHhu0x9LofOdOPJm4mbokJ0vKgQ3cg1ByRlBFGjSqsiUq0uZAq9Q+Re8NeqR0IjjRQWQBLK1wW6Q6O0EQYaCHS5vqZANBBW7Un/sshSNw2Ar9h/lT5Q76z3DTt26WblvQAkmJkr5ZTaRzWd867FOZjtjwXzXWJ1Qo4YAODzZbaET8YHthbVtktJWUFjfvd2d7l4ofdCejwtRSZ5sGPkMsvyQ1oO+QHTMNywmBNOFeqEQ96oGUplb61AYCKAP63DRUcs6un09GGeqEIjiA1lcUVqflRjyVQGebqXuYN4piydMqaQpUkD4qAiuZvw4rRcQBoCJRw7etGSRPB0uzf2n9fP8sbaBvb+yZXWUeZ6XMfRQsqEq7V6uP1Db1+2J/vtiZ51Mp88UA+mN7tjydPxFvqd5ofefeaFbXlQiYlGxbq9PqQUr/y183OvTFY+vHJ7m3wLeGQgZKER1A0ZsKOeYY5PdN6r8ApTYTmdC6uIuip/ZAqGf6E+rpif0I82EpojsR/X2aOF6FwkfaIL+lWtQThXq0cUEj7kFnE2rdGW13fWNU0JP4ML24MArfbWvHL64Tvfjl3tr5AIre7EMFQSR6rMXJ0lKMGR1fqeH4fuFb1JfpDePO3lmqDyK+P/QfnJm0aAf6kZnPFq9TcEKPncLncDgcDofD4XA4HA6BR6Acjs9FWqWKsiLDqBOh+zhz6fLlpnVGnaZMknW5smPnsJpDB3DZOD2euNMceZKFp5JRJ4QmdIN5iQhTUy2nBa6iP+rt3qendO8jrFYNL2wl9fKH0qrs6YxNskdbsX/v6lEIIYQvfsFkzk9tWu07DV+bz50hP72/Semfbq1QNVbJNx+8E0II4eoHTUL4v/65Pz8f/7W/+zfTM5Su5eK4LMHVwVahY4vV5XNKvxzt/UWDaNEmpduXjD7KijJW+gZICFcSUSjYH4rl6uqUbapm+iIvjQ3MAdGMXnTKj6PV/W6LyIuseh4QDYqsE4mmRQgW1IjIav57RrUKfRZRM6Q5atSMkYmSa3oSwZq4Sm1t0kqfGEZGPtBmm/TcCZG8lweT8z1dpLpi9DT7Ijb6/nWll6gruZgPOnnXiHpGUCtUxTJy0XeIRMqKeyYigfGukuUdB2Rhz8+K5tQGgKCDjsMTok6nE8MEteQZ4gXZfJCuj5lqiv5kXgvIv8hjIyoVkabKLg8UPOjQ96UfU/Z/i35QnVJdnZ5b3z1/YhGDQoRudlsbw6zfQqPviOj2gX025ZviCGOpcvGWj6m2qFZRpuMRk3GJSGol9dMhIrytTcCk3EkkEO1M6fiDRF2ff8ui7O9/5f35eHcp4gIo0xFjUyMOjOZoN4lZJBHRDhln08gIULB7pU+UkNmOGHv63Zwg882+OU3zhGGJsh3kfIFBygjWHHiB/UP+LZQ5DHL0rYg4nHprhz7a8/shnb8d7Jv2cng5H990aT55Dgn7rkQ9efMAACAASURBVLaXHh+mPnmqrW/eHhGJlFcNmOP4z4tCC5DpZnA+kgsYj2PGcFmdEPRGPMNo0ZD9LLASaMxmyEnnxSG87WLIHoFyOBwOh8PhcDgcjnvC/4ByOBwOh8PhcDgcjnvCKXwOx+ch5usMDEvzeI3Cl7Fa1jh8nwelNSBePoDy08qm8u5o1K0JlKhJOD2FMYrCprfy7GRj8BYUgg0oGhvZTP2lB4/mc19sTLDh/SrRYt6rzefpvdHodBciyLB7aNe7ly/m40I22z9+Yukf9okOcToZ7eG0twI86BM95vWN+f/EM+hkL1JlPXhglfbHf/QPzcff/KV/EEII4dviyB5CCM0BHjLH1D7vRKPkDINRDItDqtMKtI4dqG2hTm1S1ty0ndI8BQgmYLNyKeIHEQ3dd0hTy2YspnzTvVCKznS0b62ftULXOMLDpBgtsauL1A5jBd4GKXoiSjA28H6quZlZ6Dn06xIqTY8NxtyUrmOHQ4RU0pmOBzrZBK+g81nrEuIC8HSqpM7P8Af6+MUn8/GXtr9HjrBRHsIhOkw6UIrok9VsUptVEIzQ9ougKZ2PRu8ZpU0j5o2+J5VT82JpjqB6hpCOD4O1c4RYiYo3nCkAws3i8v4B9M7Nxvp5FApfDzGSHhTHQecjZEmzR8ppXcMrSPmx8LqhiIRyHCfSGsFEVSpqg7qvMTQOz8Xr5qWNrXI0Oly9Sce5xxnFUKRMFAnKhBTkl3QwpfCV9p4exzO1D9+OemPz4nCQAqJuq5r001QXHQWB2A8l3fPeKuKjf/jhfHz1MM3L777/BXv+wvJ3ECGdMVhFK/UuE3LJtAGK/DeEMNBzSbVEuC5PcQEpSuZptOITFTMvOfQjubVgPeBdk9AFOfbCuPxW0wvuJPPlNSh4t8Hm9ddD6lsvW6PtXZdGAz5Xqf5uN+iwmKMn+S5UW3xfrBuETmjoXcsxDCEh4dFlmwZIaVYKY8aUA5185dw8BdN3LUv/zbQ7fb5g2zADM0WQ89bbCY9AORwOh8PhcDgcDsc94X9AORwOh8PhcDgcDsc94RQ+h+NNiMEYd5/jMxGFikLlooE0K6UgUGWPgjlKccDrVSiHyn9j5i0iFICTUTlIK6zOo/xamg97o4p8eZsU5b74yKgeT5ur+fiDh+n61y7fmc9dQbWreJVoM7ut0YA+eGBp1UJvKh7Z9V0JRb7xoCfnc4+uEl1uC1pid2PlOxbpnedXULhCnW+E4jB9YrSMH3n0pfn4n/zGHwwhhPB/f/Pvzuc+2Ru1q3qZ0m2uQRf7NaMH7X9NaFhQbqres6n0sVAcxwv4tswyiOAetfDCEcpOQXUzergI/YmCcC2UCZXtSEW3I5QZz2dRBgTtYg8FMKVc1Rfwv0FPHMuZt2F5puKe3Eu2ayXKTgOVuCY+o5Qde4b016geMKDwtWAEneV/lHaWnqdclYzHDZTS8DJV9YroOxE0rkK8u5hmDXrNRvyHSEMalY6HMm+jqb8pH2wCfbODcqKOZ9JwR/DlolD0aDtWgzKkZJ8Bxm8F5xjJf7MzHlEBdbtR6Ls9y4ROp/5MY0dqlNAWqyXFLIQQgijuTaBeUXhRKXykNZbo+41QxobXNond3kA17Ta9v4mmKlmCDjdJ+mCshhL0U6WhZf45aywweF9N0mdGqD726Bvq/0Q/Lpa5OwttcQPFugZ0OFFyK0mnAu2ykn5aop916FO3nySaWcRcXX/weD4uHzZSDstfq98qdJgxsE3TOyMVGmP2tUppYt7IPOBm7yz6fQEqKAfZSj6vPlx32SgqBZAqf0NL3zahv8LL7fU51dPr0bydnrf2LfikT3Tz62C0vRaStr1QUQdQuAuqgiqtv7Z5b3dB76xUl6cD52r4mcl8kfllkSe9Kgi8NOKKUOqchLafte3a09kgXW47GEkd5uVZlXMMn+EWvnXwCJTD4XA4HA6Hw+Fw3BMegXI43oApYJ+vbKC+aOnOjpVMWZXkKj8WDcNGfEAabMKNWBHXVc8Oq+BnOe7g1zHe2krsdEihh2aPFVss223FI+Xd0VbBf/qDH5uPf/bHfjqEEMIPffErlv4ZK+Li2fTogNVPbGo/71KU58kXzYPkvR+x9LurFHmKD7HBeoPIyXXanLvZ2kpucSWr41d2bkCE6iwrxTcvbfW0gDfVRlZId1j9LVAnf/hHUgTqgwcWVfv5X/l7lqf/L20c/oW/b1Gn18+sTqqTiGgUFlU7fWrla/dS149tlfzyPRGWqGyV/LY1EQxdDcQ+9FBsrU1VNKCfuBHe0jpdpxXU7rWtGt5eI2onvj8DVg0rKFIMsvH3ycbEPBp+HmTVc+DqMIMM8luzP2vecK5FtOeooRO0XcR4KoZK8mb9oDsz+pp+R0Q+GOGqy9QOZWH1tJ3QJ2QDdwXBg9hbZGbWnqjozcUN8Ok5imTMdyJPEYIQpTxflXaurm1squ9Ps4VYhWU/lOI3VkHso0YzjeKpdD4hQjMuo34dV58RgdLVaXpPTZjvJpmkppXICMdYOS3btMcqOiM3rUQyI3zVdhT2kAhT9xHmvRaeSlJ/BaI5FAPR6ZieSCMqLc5+Y6QT0INNfvm8lK9A32JkRoUpRvSdYYJPVZWOhyuwGSpGbuR5Rv/g1aORwnqCd1SPcSYiFd0ePlLfsfnmckhz2PYJRDAkwpN5V2G8akSZ7czIi9oLHhGpq/B8eZLoaY+2RXT1LFGaboOxg3baqp8YIuslvqWVTEgtwtSnswlCHEWZ5BUidc+Oz0IIIXx8+u587qawaNReBCM6RJ2GLEInIk0UPeEcJv2c/nTUKql3O8k7/fss2jXJ3DhS8AFja9IxxTA+DZwk8pRFAmW8VzhJcZ5CvKPGYhnJIop4V4RKyjyGMFJE5C2ER6AcDofD4XA4HA6H457wP6AcDofD4XA4HA6H455wCp/D8SbEEMZKaS8JA2hEJWgfKgDQYZfrCZs3O9kgX2HzfQMalUbMa9BnotAe6s7WOrojNsnKJuENPH8uB0vzvU3aOPz7P/jR+dwf/trvn4+/8uSLIYQQvvjeD1iez0Y1+fRZojg8akAV2RjtYi+UqEcffDCf271rIhLnS6HvbCxPNXhqdZsoUx0oQYVwHC62Rm3qINgw1Sl/JWh9E8pfCv2FG5wb0Iee7pJIRn/1dD63+cHfa2k9T1ShU2mUoXcqo/uVIlrAzdLxtR0///lEwTgU5jMVH4nYhr0yXLxrflrNF8VnCZSffWvvr6PUE+gpzcgN6uLzdLRn6C3SndN5aAuECVSQvVC+atCQHl2Yd1ctgg4lqU2W1LwxPIKSMwUVvgCNCbQQFabom3Va4LyZHOyRA7zBetlsHcGTLSAEoJ5IqNJQ0BPpkMo8NZZmRD/VfkSxjwF9ahDK04Qd1OoPRLrXVJDGJe8H46Wg+ILQ0JoHRiWsGvhoTYky24KmQ5EONe4ZMYfQ82kqlhvIWemFiAqAeRWKCuXvVdyAFEX5ZT1jI/2c1azvgDIkeQGDLdQQAji+TtSzEV5tu61R50YVCWlQDgprRP1hj0X7qDgQRCAoVKB+NyQ0qVBQAQWPCfWsnlhFRbobnm/UvweCDPQg65VOh2dK0BbFN47UK1pbVUH6D/rBsTcK3/Fl6vsVqNOV9P3xLtaVfusyPQHS2eSYAiRIaxYewbxECnyUuakCm62iIINQ/0gx70BPPcvYOrRGwXvdGR3u9Tmd/+Ro514c0xx9E1A38IHqxEBxCuuVEucig+aKOTaKB1pE2xbonJWM/R1ouiGYiNMktM8z/s1BYSoV9pjYnzO6nfYj0FtXS0JI312XlghrdL4c856Hz33T73R4BMrhcDgcDofD4XA47gn/A8rhcDgcDofD4XA47gmn8DkcnwdR3ekljH+CIg+D1JXSdsBbIBWkVLUvcC0mHEu0P2x6W9dQuuAEPw+wEkJsU+z/SWVh/9/3la/Nx9/44IdCCCE8CkaHe9yY0tpD8Vy6vLJzF4/sWCkSF0dQUYL5Kw23kpmd0RLildGP4oUoXJHCUJE2Ikp2GWdG0oLqFGlOzSadb0Dh60ExqIVOsaPXCxgYUWg37z82qmE4G/Vt9h+qqELX4HoqX0UqBtpxmBL1rTlBJe+YKCLtM6u78btW5s11yuDjHzDa3CP4D5VTUga8OdnzZ6hRdUohPFueaxx3rdLRSJ8BLVOUk863ULkDVWf2DTqB5pQpnQlvpTT+SinUrxrKfU0wutxRfFkyfyBIVJVynuW8ubXO353SOCz4DJpsiCrTh/62hWqXqIWR4qdKYSGEUEq+O3BeRqYv/SuCzqYMvWFcp+zoJ3dCnYw4DqJA1qG/D6XlqVeaGPhgsTeKXRAfMApkTey7lVL0qELH/Km6HHLMYVCq6hjGq75+Is3ILhc6NpAmx7NOixtQj2v2bVFGrHagu9XWd0elw5EKWpFarZReqE5SmVDzXZHCB0U8pfCROjWXCe8kDVmV/0AppT+RqvRFEqpK9hnxecIjpGkFUVIrMq4llRXlGIp34WzfiLPMd/01vlWX6f0VVPQGUNdmdb7IbwGoa1r+AaqV6CejqjmS4jZg7Pb6a+/fcIl/pqeCtofErvtEvXs1vJrPfXT78Xz88XU6PkajgytleqgtnR6KeGOxpNwSUXirmSglOz8LK6jQ93WOqaA2eJFxo4VOt7fv0/GA/M3KlfynPL3wlv1UQf+6HPr8b1ZB745Ke4vgESiHw+FwOBwOh8PhuCc8AuVwvAExhLCRBa9eVpt6Ltg2WBVt0kovbI7C47OtwjwR8QR6QpwRZem6tJo0YrVokFW5Gl4yEU7lX9q+G0II4Z/7fT8zn3tamj9R0aW0anjtPLkwJYN3nybxh8uHJpKABfuw2acV/5sbc2en78zmsfiJvPMAJ7GSK342Q2WVMmFlqpYI1IBV9E5W76tmfXW2lPQLrDjHniuhGjmwNLMN1iKe8KC2PLdnq5OTigZgdffcYyVVlp0iIh8N/J2KKUX7prNdrwfxw8JO++6VRZP2fyf5kHTfsnPFO7a+1YtvUESkrhgZwZKDg5V5d7JV+stBBQ/oPm+Rwjqm9Onbshvs+lbEPsJgaRbwQxnGtPrbR8t/X6ZoU4EV7S2iAKdTaqdtgPkVV+SLdP5wsNXX042tvmqTTBCGQJZCHVNdtIXVSY8I1HQpm+YR6dtERMNkJXxCnYy4rqIxU+SKvcwRWCVnEGBTSztSZIIb8WuJdiN6SnuhXusvKzOXv+WZs12fMh+q1I70FGKkd5q9YRgNoUiHikhgvEnEYaR4AMU2JCo2UnRlJdJYt/AcOmFsSaR0C1GZAfPuuEnporuaIk8IswlOAZEIRov6Ls1NbJN8/3t6fkBkRYUnJm6uX/FIo09Si2ON7HAupPeWRZgszwN9e+Q8o5sFBSUkrTFa378MxiyIpzRe29c2nqL4SFUPyJCAAIq06YhzmZCOnK46nIOHmLIp2jP7K9NKlcZpv0I/OosCzmm0Mh0hcPK8S56Cv/zqV+dzH15/OB8fRByiuLBnGhmPnHYmTCKzTyPFbVDmST4GZRaJRNROvbXiuHpduyHHY4WxsbuQsQXBH2rGtPKtyoU/yuUx+oa2WbxLGEPvYwDpN6QHMafwG3nodyQ8AuVwOBwOh8PhcDgc94T/AeVwOBwOh8PhcDgc94RT+ByON6CYQriUiH8rdII9KDstwu2XQpV5bDYS4Sfjk/n4G1Oiye1qo6J8hA2nH4lQwHcLoyx9S6lRA0QUwFX5SfF3+sYD83E6vDQalYoGPHzweD717pP35+Na/Z3oRwVqXNim8+UDbNo+gqMoQgLlIytTC++rmSACmlRFcYiLtLH5dn8zn1N/nYK8O1AkKqHvRFBmKGhwFj4DPYcq0glkZ3bJPF1Z/s8vkuBDhY32fYUyRRUvsOstxBNq2bQfO1AZ21R/pAldVSYYsTskCuD1yxeWj+9YOx6lJofa2r7DDvNaeJcVqBq70dKP4hkVQR8llVR9pArwNiJUJKpBKEMQniAdse0T1XOarB2nIlH4Img2EbTKUQRQuKm6B6XnKH3+BYQ3iltQUaTLdhAMIHVMBR+OaOeX2CD+UvKyjdZ29IlScYgWlBhSbWafKGyqV/+leAd7RUUDuIGb1LY5LVIJQRNT/6YB/jjVBO8q5Y5NFElAm/d6DFriSMqSPk+aEvqB9JmqhtiI+JVxvJaknvUqbIH+OtEXLh2TMloiTzpFFbWVo91Ynlpt/5qVDoqj1nlkO6LN1NuKCiRZm4pQAOZgpbORCUnvL+0AXW99qxvtWKuU+/hH0vnkn2YUvggVaZdyHYI8Jdp0OKV3lVt47iF/lfjJnc7Ik/LFkaniisIcSgO2bAzoJ51Qy0sIR0ygkh5F9OUIfzuw8UIlfWbbrwus3LRJ/OF6sPngxWD+Tb/y+tdDCCF8dH42n3uF+agTg6nY2xxQHVNhNuClNw36YaEUPXyz6PsmdD9MWxmNWGlsESfpKTVT+KgPgnGkyTag1V89sP+5uU1laU8UtgKXdVRRGApL3E8cIlIEIpJyPM5Hq9DTsQxvu5CER6AcDofD4XA4HA6H457wP6AcDofD4XA4HA6H455wCp/D8QbEEEI9UzhS6LsBdauCwtX7U1J1+4NXRqf72e1X7foh3Tvsjbfwgzt7/vnDdP4XN0Y7eP3hL4YQQjiB/nJZGi3jp77ye1M+9hYq75D+TpSr6PO02RldrReqyWk0CsAWNLEHT9JzHeha/bV5+ezUYwXeT1QpnFkvVI+zy6EQ6kQJCoUqmY2gHWSKd5v0rmZn9XA+GRXlLLSZiupq9MEQOkUEzWnYQh1OTHRKUC36Cqpd8nwLZcEIikcpeSW9RZXgaAVDqsVVTCqAPSTX6t78SiqhrRxB1QgTqHFCOSpL609X0Sh8ZdxK3kDBg4JXp2pRa3SyYHSOihRAiiSGRMeLUOlTY5cOtLmmtTzXXaLyXE2mYNgPdu+NqLddQ8nytrPj6176YQMPF9BT1B/ohA73Gm1+IxTIx6DXXFK9Tfr8GaZKpHk10vdzxo7QT0FdoUdY0Un6yAcVvFQwkOpl9Dea1bRAgVP6ZQhh5sxGeOkE0OlGpf4NpAjiVskL6TsRCmCFjOOpYj1LCvSmQj9WWuAWNKAaVFOdz7bsW42ltZW5a98adeuEPhUb8fOiLxmV4IRnN2bKh6CmSftMmC9WhA1ZZfN4G8jXKqjSJ9Sughw1qlbKfaRiUnmx3Ek6qMeSbSrULNDNhg7vl28UfaZ6KIkWwovcovW7IY1H0u4G5ln64Qiaa0fFuVMqa9HiHPqxetg9O9j37dyCTid5LdE3KlAUXx6Syt7H10bRuw7mC3do0nx5rI0ieA7wTBIFSarstULf7CCV2WCK3Qh3DuzRUEMmUOl2Ga2PqpoyH2G4Z95aqshX3EET1uNmA6omxt4gCQ+D9bO2s/LPfmuZpB5H/PcKTL9YnHlb4REoh8PhcDgcDofD4bgnPALlcHwOdE+rriJdYkn7/WCeSz/7ztdCCCH8M+/+Y/O5r198eT6uZQP+8UARBhuCj/u0wraZzHNJrTt+4Zd/ZT7VQJygkXBP01hUaSpNxaJXvxKsgp/oQyG7ePuzre42WAl+570kfNE9tChBiVXF8z5FAbqGG3+xKitZLbEexeNCVo+bwVbUe11Ny5Z37Blda2u2O1y3Ms+reVgRHyHWUWudjzyHVc+N+ANRUIA+HVG8dOi3QdUArb5sc/7yvgHLkq2sjg+Z6Y+tLm9CytPUYbMwvLMKqSz6wtSF+VyVuvm/QZ0hWjVWy43BsWKUQlZScS7WaEepawTlwii+LRV2ildYCW2knwyTjSH6zlxJ+tt3vzife/+RtfOz/cchhBCey28IIRxPtiK9l8gMfZwovtBK/V88sPfTL22SVeVmg0gdIrHzxnGsPuued/pplejIo0TYRmzejwycSKK7x5anClEG7T8To6cdhTm0HBg8HJvapRnUopDBsBKBQkSgnjTyAvEBiUBNPcOr9sxGBsQDlOOqQKRS50NEV692Vv6Hj6QfHyEogCjJuVTRGZQZEQUdG0MWgQIqFZlAVAr1M3tjoU1jLX0iiwqhzlRkAqEsjpd5aqGgDiL/k/h1TZwEMYdHmcNGRBcZ4Wqq9PzQYkAiqlcE9X1D9ruU/rGzMTacrJ4riYK0iHxPUE+IEgEbIDJ0PBpb4Ze/m/yZ/sHz787nbnu7Xi2Ds6HHvNxJNKmDyBJFLrRLzRHRELJvwCSdnz5K88dk4lyOx8/pnfUW/RlGiSruUCMyXVBwQiaEEXPggG+RHhf0AEN0WUV/sggX+sxOGCyMmF7fUKRDQ9L/yKZOv3HIu2JRZGItbyM8AuVwOBwOh8PhcDgc94T/AeVwOBwOh8PhcDgc94RT+ByON2AMUzhGpYikc09bC6H/ePPufPzH3/mJEEIIP3n1tfnc43d/cD4+Pkqb+kdssq33RndoTonCVz239K8epDWO9981esf5yvLX7lO4/lNSbrDhNMru19dHo2VMH304Hw/CYagf2FTww7Xl+YMfEM8oiCxUO7tXc99xAzU4GHpnDT+Pmn4lckOztTQnrR/Q3cra3n8U74u6AuUFFIxSaCU18lEgLfVDmUDh46b/pw8TZej1HlRIUjyEilnGJXUrBKNvldjUrv5K1LLosZl4X6YN0G0A5aaz641Q++reqJoDaEqTCJ2QojZkwhlCZ4PABxmIylzr6be1wQZ04Yj0pdFDJvSJmeYEeukofjDFAHoLPjmDtHNVWDtG0JRqacciGs3nwcaOnwgd8SuXJpbx6sbofL96TpvVn2O8Urzg5lWi+zVPLU9XpVEcO6X8BKBmpQl1jZyjSalbeAZUy+mc6q/fWzkGXO+FA3l5aRS3AtS4mTKFcyN8d8zSisIPpIGl4xHnSNeb1OSHlCL0qVHauYN31qg0K7J1oLigIhSR6RytzN2rvdyH8X5lFD5lRz1917zsDnu793ArogSoc/WWCgGUMFL4qP2gNDiK1vBY70OdlTPtD21DFpZSLdkRcH32+sHEUYCO1880rSVtL4QQKpnXWeWcj/S1EfMyqW2ViPZUmFf7g1AdITJw6IwS251E3GfL96BOZD1+BG3ueDJq+HdfpLH50dG87k4lvoXS50rQ9g4QcCmERhch6BBqo30WKg6EebUCfXVqVUCFDSW/A6i79EiT3zNoix0EG0pJ/wIqE5uNzWcqDEIqG+l4yuajCAQ7sorWkBbIRt8Ivbhkf0dc5OY61U+P9Oe0fiu0JEIIUUUk3nL6XggegXI4HA6Hw+FwOByOe8P/gHI4HA6Hw+FwOByOe8IpfA7HGzCFEFrhQ6hPyW40GtUHV6ay94WnyfPp4Zd/cD4X3zHaybkWyk9n9JdhZ5SocE7pb4YvzKeuhBL1Y0+e2H0HyAiJ59MA2sTmwtTXRqFPnfZQM4KSWNimNZQSVJPdJ0a7ePheCsPX8Fw6QUVomn2sQDcD1aSOQi0AZ+ZMFpR4NgX6H21SnjqaJoHapccVqBKkt5yi0OFArWpIb1HFONBPSP9R76wTPEom+Mr0U8rzCJrTBAqH0pzINSm1/Kw7Ll+pcmFNSpDd0Onh1s6RUjSKElsLianM+kPapyxB5ShJzZK+SdokhNJUzakv0PdAUSyFPjNBaWyUpieLKVMeFN+YDfsLqSri+dQ0lpHNaPdeCsXwdGvPPA1GwXt6lWhyL+jFE23sjtfp/Hd/1ShFP/J7f5/lrztInm08tFA1U8W+zAtHD9DfC6hmdXtRMzxivMKbqxJa6jSB6kgWmKp2Qeks3NjxJHTFEf45BWiHpag0krLaUUlN6EtssxIdVRXtqmB5HtX7CtPK7mz/80RUyy5OlFezOttepDa7bY3WeMbYOAiJ8vISbVsbj/nQp/Y5nDGXgn6qXktxpPyaYRKaWD+iHlB/Wrt9xmrUMW7nCnpCCeVrwlwLBuNMVS0j5jBQ+DT3BcZYDcm8Ws73aDtSQdWXLsKzaKIioPpI1eT0KmUW4+XWaMzxkM5v0SHBfAuT8IMH+BS1mGNeiyrnqYG/Hih8UfrEyIkR5R9zMq2+FP8jXnXwZixAva6lg0bQ8WZvKHR4qq9q8hDRCxMVHqXLDhv7VnTw49rI97GuQQnFvK3THZoxdPDCi6r4GtdjHer7V4Keub2Cr5787vc2h4VWFF0xhtcwZsccO1IpBSnwpLgLXXwqfqv1/n7b4REoh8PhcDgcDofD4bgnPALlcHweRt0srqtVdqm4tBXE7iqtBh3gt7GrbB1nJ0IJFTwjhhGrpjIc6wv40mwkctBgVQ2+L8VWIlA4tw9YVZQV7Yh3tiNXNTdym507YzlMV6exvpStKpWyibXhineDjcWyAsmVSgYZRjGuGZGqHvWDrax3LTbuyibjS/j3NDtrB/UCort8towvK5UbbBTPPJtK3cwMPw7kxTZoc3UUr5rTYoRLvDEyl3m7PAtOIKpGQQldMWblMSg3r0hjmXwcl+//TGjBLoflinqk8EdZ5/eFfBwMumkez0yjlnklHzjONuyXjHZIZAOr5CXFPLRLQ1ijQBThoUSINlj97eFxVl6m4+1gK7E3iL5+6UtP0/OIaj2//dTSEk+uobMx3MscUZT8tNrx4fo6hBBCjVXyzRZtXulcg/6IlKL6MJ0wNg6YQzqJMG0xHhG1m6NEcdkO8mL5xSn+j/obZSIT6adCf9+gnzeyab9Bf9xdWJ2OMl+crm2MH3tbhd+VaZwz0rdDNOqdPomIDK9ez+cG9LlJIgIRUWR68ZwkcjWWHFuIGsp7+yykK/WAqBOf0TodhjvW4CV/eT+hT5VUKsZrgbGlkfszvLNi5j8k8y7GA/2+tJ1pY6UCKfVk/bE52/EoEaJ4QjgGgg5nCdMczhZJ/OiljZfrNkWzxmIlmhHQJTNRlhWWAAVA6N214iPF+UqjqyWEKXQ+HRBiGqdlm+VyCIz8p5edGiQesAAAIABJREFURmsH9q1e2r9BJLBBdFQFHTJfN1RvLzGkyG9JJkiR3lVjjiwg8hSlH03I30nyNGKMjRSd0X48ZjPPyjF9ApEnPTeOv+WWU7/d8AiUw+FwOBwOh8PhcNwT/geUw+FwOBwOh8PhcNwTTuFzOD4HhYT0dXPpYKyG8Hy6no/Pohdx2oJuBorelQgqdPT7aIyKshVq2ni0cHi7E6rGkXwpo+/Mm0hBG+hAQWiVmYXNuGvHDSg/FTedN0IrrEEBDKQoiDcIsldn7B69l7SDpd8KKYLqQ0J/moqboYWLUkB8YHtp+d/fpvM9NwsjfaV10A5kBL9FqUg1hCGqjHWilbqk9IQQQjcsN6vPpD560eCZQTfik9JDqos+R28n0JTUOqUh9Qr5U1ZmzKiSrJXiM6XIBR/KSjfig2KHTe3aFG27LDt9XQKoXZonepzwOGpHIusQY6eo1XcGFLaCG7zTeNuC9neA9sJ2k6hhD+tH87nrT41+FM/PQwgh7J7aGH33wVO7LuP81Nr7X9+8SufOoMdAMEF3o7OepksTRCilTQd4gJXsBtpp4QMVSRMblxS8ABrXtCakwHGg/TCj3rBTpeMBY0tpVAUpfPCl0Rbbwetts7OxdZbBtXtklNybw818PMg4iJhYKK7w5AtJYOeEsr2+ge+dvqcH7RFjVPs5/XNGpKU0uJFjV8YhfctIP1WBmYwFxbGr95JDt0alxBgdmCel0yHNugHlWBqVggiBXkEyziiEU+gcDwp35i8kyh4j+uYR36J9SGPnk5uX87lfffYdu7cXqiR9nAb2Tcn759C+SNtbCwGM6O8Dyq+iO2znslzOMR3ofEoJztqZw23F+6qDL9soghCYIkLTWgUona8iXZz0U507QDuMGU1aygTaX4W8XgrFvoCwxM2Y2uzAvtHxW5BQZLS9YnFMYYki6+iaubecvxc8AuVwOBwOh8PhcDgc94b/AeVwOBwOh8PhcDgc94RT+ByON2GaLIwvEelzY/Scv//6W/PxX/+V/yuEEMLuD5gP09cfGj1oU6j6m4XwD+ADDG1az9hBlWt3kRTG4hkKTCC8RVGai6BCXNDzSCg9I87tQNcLqphXkspBVbT0O4IaNcLbZKpEzammOhqU4OS5ChRAUl2UEkaxpVLySuWhCA+QXr1wwDq4gBria6FFDFRsi0tlpB6UmIq0COVzlPSmIoUyXe9ACSIFsBAuCkkRM40N7UCVwbOoKNIHqYLy4uxRQ/oj0irFR6vG9TEuaRWZwhQ9nyR/PWh7PcuklJ9ISgwpVen9xQSOnPBKIhWiQOErhIbG/kCVQa1TUnJIWdpK/Uwt/XOszuo60VbaE9oWrJWHl4mOt90+nM+h64bbLvmJhb3Vw0PQ0C4fpXxfoe89vEjvb9E3Xn5q6nD9baI5HeAn1fesM6krqGpG0GvUoqfo4QkUobopfTajaqIdh7V+BOpYlP7BZ3KFLeVZgeYlbVrhmQZjd6ueROxPoH8q73SzMTXEc0HVsFRnl6VR/GJj7bDbpucenK0db4/GmTqKSmKH8d7iWNPqyTiiL5DODVSTlPESQU8dwHucxQxLjkHUs44d0gLRN7VJJvR3UkU1rS3qjFTZTvpPCVrfCPqrMhg5B5bStiMpbBiPdZn6eXe06zfHV/PxP/zkWyGEED781Gh7H94+t3fq61nQTBpwpZ4BnW9iRmO2Q523ORdH8u30XsxBpcxbVEedMB5G8dbivMl5d1ZGhMzsiG+xUvs6fA26lp5RohSKuZ7tWJQrlGj6SOkv+/OKjdYO46W4Eg+wcJzPHQ7WpqoiOJJaPaJ8yianch8FbZXyumQFvnXwCJTD4XA4HA6Hw+Fw3BMegXI43oAYLHihUZauttWoZ635XPwvP//XQgghHM7mJfNn/9k/OR9fPf1qCCGEGu7zm8E8bNq9rBoebWXn4iqtMI7YdE6fiVEXr7GJs8Sy3OzHgmWpAT4UraxwDdgQymiTnj9hxZziA/8/e28a61uWnne9a+/9H85wxxq6qtzV6W7b7fbseIgdJ7EtEwJBJMTCgXwAjBAQkPKBQPgCCQqDkJBAiCQSkBARlEg4KJEiAjYKiWPs2I6JDXYT23G7J5fbXdOd7xn+/z0tPuz3Xeu3zt7n3tPd1enyrfeRqs6+e1h7zfuc9T7reWy1jI73IxbE06ogvTewNGVCD4wy2KoeV9J6RKCsSPRFabbw2dAoQahyPe/OszhAWikujO2RVjqDzcZYMe80ylJskcWqpC2A9ljJtQXMqmaaefod1denw4opN4WLbtwut+UyMqDeVYw8cOOx5q/wSEGEzrLVYNWR0SjTLuBKbeF9lQuYT1rkAcuTPQUPzAMF7TxgdbmzPok6o5hIqznoufqJEFK92miaiOpFCBncmsQHxlXeYN3hXf25eelAtAVhiiNdij1c5352Tf3IIlbZj3DdokV3myySMHKV3MY2FE44dIJlZY9oDu6tFqKOxRlrJkaYUOehvE3/wdV3FX1BtMX8ZMY96q7Lx4frSV3nAP5wFIQIGkRpEPk+3mZhjX07jd025pX7ZpXr1PrEIX3h7ueo36hjn+UcivCwtjN842pGhpLtDfp+CiAhTYyI5GuHDf2MYlSaaJknzoE6NhgJw3UTHQj0OBs5R8491nr03WSphEhiZ/0cHa5B5GK0SG8ND7MuHz+8P4lHvP7gTk5zzble248iO4XojTIHiqjdXIiA0VFOQjaOCm+oyDZRsRPk344rCPYwfRNkisgzPdqy1AdDYZwj9TmI77AfDKfqMdblvk3BprhRhkfDby59nuZHRefWOmGVmjbSwSGj/fmZ83PLM75p/Naksiy3U63fzUqG8hP7DMIjUA6Hw+FwOBwOh8NxRfgfUA6Hw+FwOBwOh8NxRTiFz+F4IoLUonQJpQb0oLi1Td7Y2+sO77/3qZ9J5/Zt9iP5F/+JPyQiIh99/9ekc1UETUspLgGhdVF6y/o439d2+Z2DTKH/CGpUE7CRXqkeI6gkAtqHbfQnhW+9xaZ/pUTRdyWCFrLWDfSk07F+jLI2kF4C2opRAOm5NJrvS86lbEjzUrpbhL9OswU1Til8HTcrg+cVlX40cvmIe3Vtn31hg4GNu1qXNagWw4L3SGHFo4lSw6HwPDL/H9JTmIC+n7RCblZOjCF6iJCeo3VFLxkKOpgwR0HRK/y8NJ8Q1iBF0NhBpAxZnsewQIeSTN3jRnv6rSRzKTTECLESo9r06M8jNjaP2rda5In02er6RJ8d4MXWoc7aSj1UzvJ4q04zFfTwsc0L5BBO9N31Qc7HtWs5/es3J9pg/cnfTOfuPThJx0H71J6CC9ygrkyfcQdKET2ltMx1QSki5cl82xZ8WyT3r9IBZoEiGEhjmtLsdpnq2J7l6/3RVM+bm1lcRw6xqX2tm9lhYna4gmCEioCMNQ3BkEHtPwdHmQ4dGlKmpvwNzDNpizpHse8W4g/JxI3iOFo2cMiqom8bXYwZLfhqInLBMw4JGJ2x70EDRv6rxoRy0PZspzTvkjpNEQsbsLi+UsEfjnEaDCXvq1xP1za5zj/w0qsiIvLayZvp3KOYx4tNXVWc18OUsGZT3jksWRGN4AybJxTbvoLpX619h2IbI3nQ5kkIgY6yAMY3X6ZiGtWz29Pja57/quGHg/6B2mbMP6s06XLQ+2p612aDdiZdT8u6R9ON6Lv2/Q6lckQ+1t9Fnn0XKI9AORwOh8PhcDgcDseV4X9AORwOh8PhcDgcDscV4RQ+h+OJCBI0PF8pNY5qSx38Sswb5EGfFbZ+7o2PpeMHf2ui6vzA9/zBdO7rX/m6dGw+JxX4as2x0tGg0lPtyK3ScHlLDhqoGkq9a+i7wtB9rSp/q8wbODzOlKOV0vmi4P2FT4WmizzTJ8P8lXpQVUgJMpWqBnnqEn0JtERQYYZOFev2mVpVQ9Xr4HAq0w51FkFBzO0HZcKCXmP0lrnKnUimHZLKQWWldJ5qUPp8oeAECl4wnyWqPYEWYc9THaykHRqVA22DOjEfqR6UGXrxGBWItL4YWGcTGioHssxap1WhXhZm6bDvBKMfkeVEemk3p9cUqmZKFY2k9ZGCuLL358fXDeipSpkdDvIN5/TB0iGxBv3zdJd5LW+9pZ5O5/CGOpzq5PYmjyFSPWtVNfuqr//qdO5XfuUT6fjkZKL8NlzbhHraoFSfcZfH67in2qPSaza5nKuigsOFn1L0U6MjUr0MjKH0FL2CgvnkgVK7ordUpwmgv1ONsjqY6qTe5BdtN5nS2yilmb5rVG40zhJpxoWfmVH4hP0Vj1c2tujpRJqzvXPet0lzJXcqUI3Szo3zNHvWWZ3bzKhZBcONCpGqmBfQtqsG/n5GhwMVlEPLqH1dzHOoUXI71F0IuZ1rUzrtcn++FnI///CL7xcRkU88fC2du3s301NtFqkKKVDSb/WYXnGkGFqeKs6roDUu0lLpzaW+c/R5iqZeyvQxRyjdjcp3nHd75dQWkQiymLWo7CfNgjLjZZ5Jnfov7eAFR7q9TS0rzKuF4p6OicI7SutvDX++gK0E9g2K8CkcelJB9TrVQyn8t1yUZxIegXK8KxBC+FdDCPEp/w24/4NPufeHv5zlcTgcDofD4XA8m/AIlOPdgl8Qkf/4kmu/R0S+X0R+dOHaL4rI31g4/w/fiUwFCSnyVFcWgcqRDa4G9brJeYdVs8chD7F/ePfjIiJy73/9y+ncD/yOP5COv+87v1dERA7hLm/iEdWYN+tGeDKNugLWYjNxxRUyXRriqt0a/kLrg6lM/QrRGiwhmThEzdVRepNombngWnPjdDWPjJTu8xp5WdhyOmJZi6thta7E7ngOq89H16dIHqMFLTZjd+M8QlRjidAiVDW9nbh6rfkfFvxAinQXbDIKDxBu8LbVbXov4V6LIK25OsuV2M427s49QERyBHIly9GcqCvBRQSJe4STgRAijbgh9a/AqJlGM1jPFM6w4oflMndaPzWWVOtic7+ZVyFNrCVb9JXRkEMIpDTadzu4lbQx9ynR6/QnEkR/T1X7YL/PEefh1vT+9TaXY3Ocx/Ox9s1rt15M507aPPY+95nPiYjIo/PzdI4RoPZcPZewIl0ca/7DAcYGhWqsfgtPIvbeWPwQKaMYSSClmkdKD9Y5AnKtyT5OtWaF0VWO17V6Z41NznOPOdSi4GPLqBLaSSvo7CTX2R5j3zbFcwwPjB5bBA3iCaUixMI5E57gXMcVeRv8xWSK+aS3d1K8AKI0Gm3jeGT0uVNfOM6rnOPNK5CegbBkkiopFeBbouMgcN5YI6rWK5vhAD6GxTunaNarL72Szn388a+nY+vm7M+FHkO9MG8S1fwC2Q4pIrJAJuC9VcXxoEI3+I4X2j2pfRGtKQqg368iQrOQd46nMI9bUISJ4kJR39/BW6rv8rtaHfvrFaNSeF4rE2SEdByKrpn/sd2ol91IMZEcqdy3FqGaRwcnzKOvzyr8DyjHuwIxxl+Q6Y+oGUIIJmv35xcu/0KM8U9/qfLlcDgcDofD4XAQTuFzvKsRQvgGEfkuEflNEfnfv8zZcTgcDofD4XC8x+ERKMe7HX9Uf/7FGONSzPiVEMIfFZHnROSuiPxMjPFjC/d9QYghyhAm7kGjoXFmo0Jo3U6HOlNZeoywndLtPt1nn4z/+e//b+l4fTg99/s++rtz+haOP8xp1tcznW+t9JoaPhTDDvSUfgq9R1JF1pmCcXRz2gRcwatmdYRNrsr72IKeM7Y5nG91Mi7x1STTFWpu9IfRRZU2DoPCoGwJMtz23dyPZKzpwwQKhhavQp2FPudZBhUX6EDpAYXCaB+0WSo2xdvGY9QpuSLmz0TKkNFvSKkpOBRWT2jHgDpN1LyCkoI6VapNT+EJbgbXuiJdawRNyu4dKTJBT6WUFKhfFTeAx9k5qU2AZEnEQMDfAW1wnNczN23X3ACu5R8CNkCDq9KoYESRJ9CPehUtiCFT6JoBVFb1wNmNmebUwY9lo+3/6DT3zeHhdHx9m32Mrr9yMx0/f/t5ERE5EfhJvZjz9GrzkoiIfPITn8l57vK99enkM7U5hxccBGRapRcFCsUcQFxgiV4DkYpVEpHIl/c47lR4g5Te9W6qsxt1pipeG9A3lI4Yr+d8UExkrSISgvE0DqToTefXh5kWeA7hjAdKa3z93oN07iEEJ5IPGKhXkccmgEIKXjWn4xX0WFMHaCDggSdsnDPNoRBn0MfZTnzjqGMHdK8OQ2fQfk6/q5ZU1G6q8xpjq+Mcpm+jRkOtdHOKWVDIZtCyVof00Mr3Hqvoy3d88JvSud94/TPp+B+99WsiInKO8ThgDrdvaRhIlcyHebqEJ1FBs9arnCOLMhsgRmIU8sh5dy52sqaIUQsadTN9N3cF5RXCUslHi6Is/DWm1nMQAym8+HTbAHU38Hy/8K3qQCfslYa35e8pYt+a/AxZhSv1YwsU4MC8bN0YzOMCJkZSybMvKOF/QDnetQghHIjIvyTT7PM/XHLbP6n/8bkfF5EfijG+tvjE/D0/f8mlj14tpw6Hw+FwOByO9wqcwud4N+NfEJGbIvKjMcbfuHDtTET+UxH5NhG5pf99r4j8XRH5PhH5OyGEI3E4HA6Hw+FwON5BeATK8W7Gv6k///uLF2KMb4nIf3Th9E+EEH6fiPw9EflOEfnXReS/edpLYozftnR+ikzFb43qBWHydiMoM6Q5NWJ+UaBAIDY+qhzVCWhCnzt/Ox3/7Z/8P0VE5Nvelz1iPnjrwyIiclaDDtaCzqb0mHogFSSnbzYeQ52faSDHdHhjogMePJdpRG3IlKHHu0lh7GB9K51bbTMVJy7E6MeKNLA5RY8+H7aGQ7qAeRFVKPO4ynluVYWwXuV8dKReKc1qAz+rc3hGVco96MF7iCAbJBobVYrwj8ZoF4XcE6lpc9rGqOUP1ZJEU35ZQTfDrY3WSSDXgop4yscg5Yb8nKRAVbPMBe+EP0SkpHjk9iMNiXVm5ynH2Og1vKYQfFOvG9BLWL7G6IykPpFlpeUPUC+rQCkyta0KaoGks/V6awTlpUH5jA65R9+in5rVz26Xz61UXa3dQzmwB8XwZBpbuyb742yv5fzfOJwofvfu30nn7v/mvVwm7bth3+EcPJmUehZ3oPjtoCB2sNX74CnE8kdT7YLqJi2p9NYN1EVvqJ/MJovgyf5RLl+jz5wPOU+BFD1t/w18jAJoxjstXwsVvrv3svLh47Mp3fsPT9O5cyiVjapqxrEXanYkpeiRkct5bYE6ZhQ/qhGOA/vOlOcV6WoLlN6CtojBF1TxldyqPrJMqogHKmQHavWoNGkqiQ4YZ5bXoc/vXGv911Cc26HNbA5bwWNMMN5WZ9P1F+AJ+OFbL6fjT37ukyIicrZBOTjHaqVXI+mVGUt0sMKGS//FGZbzSRVMcQ/jxd5TGG5Vs8PSJwp0Pq3Hih5foPBL8nlanvdTN8Ab6DllTxWP87Oj388W/b3D0DLme99zvE/v2m5ymVdQGq20Tzf45h4c8GMwjc0ak/Ee89Gg82UcpPA9fBbhESjHuxIhhK8Tke8Wkc+KyI9c9bk4bVwwut/3fAmy5nA4HA6Hw+F4D8MjUI53K54mHvEkWFjni6fwhZB8GWwxhatJ9Dyy1a5FQ3SAdhYDNpz+xhufFRGRn/+l/zed++DvnSJQh9scTemw7HGum4UHbG5vzuGxYtoD3CxMQQk93G7zBvCDDQQjNJrF1c+mnq9O99jpH7Auk/w1aHkkhHoqQVwh6s30jVlawauxahZaRkPUPwirv1w1bfbqKzNi83/H0IuuSKOdRvpELVi8FPbvVsKFxbdQCCawH2mECpuqGRmp0kZ25Ik+WbaWis5FXxi7XlF4ghEurZ6Bi+zoJxZtGiHWQSGBvNJIkQnN82XCGSYGgnLUxeqvvZMr0txAPpWlXuU647GN24C2o5hJDmexb1GEQ710UGYEoKTTskSkOei7TuHVdrbPY7x+OEVmxqN8/ejoek5fpnH4/AvZJ+r+b97N7+ymtAaIqgxc/dWs0CtuheOgY5sr/yNWknttqzUiTAeIXBxoVO86NR7OpjydP8gRoBEb7dcaoeraHKJqT3ME6UDnq6PttXRuu8rz0YN7b4mIyOfeylG5e4/zu05VxKKlAAkiAjl2yggP/c5s3l72bLLzxbRufbOYyzke7SfHI/M0f2cRBNE+1WHsUITC/J8CfeUQiUziERjQLXb9W+SJ3y+LfNAzj2Nvrf5Aa0QHa36MdLwwolrMIeZJWIw3RqPUh4p1L+8grP7Qn/M53EdljaQMxXP5sLexB+GL1YptqiIVlzAPKo1WkU0hxbw6lPm8CBP/oQ9VIf4wzK4P+q0cu/ye7SFELLT5OBxWmOOMdVNBXIdCNOf7KU99212e72cEHoFyvOsQQtiKyL8s028zf/ELSOK79Oen3rFMORwOh8PhcDgc4n9AOd6d+MMyiUL8yIJ4hIiIhBC+M4SwXjj//SLyx/Wff+VLl0WHw+FwOBwOx3sRTuFzvBth4hF//gn3/Bci8vUqWf5ZPfdNIvL9evynYow//cVmJMicvsSNqTzO9Cb650BIQOkQJYUvh8HP40Rx+dSbWX398TBRVW4dZe+na6vMTNxX0/OP7+c068cI16tfyhoUA7Bz5Hw/bWq/HjN95gh0vtYi84XfBmhaJl5wiQ9UTJtoc57WoKkZXaPiWo5u0B7hF0WRiJBEJiiiUCg+iIjIAKrICrTEjW6kb3tQjgbSxIwOl5Mcik28St0aL6GaGOUTrIrRqDboLwMohEYna+hHRe8P64OF7gMNT/TV7FykKen7CxEKlNkoP9wIXy9QADv469DLJ2UjzClLLCcpT7mdSPsDRc+YkCgnaVhG0aNIRCDVxK7TwwR0tdQmKOdIn6wx+5ksvb+3DK5Bu9TLJ9jU/fad7E801tPYvXaUx9sab7A6vfXc7Zxm0eZKg8JJenutVXiDfmKFr4y240B+DvrcqPMEtEZkE3k8Xb+BOq/UeG28lsdYi751YuIGYxanOX2Y6+SGvuAAddKj7z68P43Te28/zOkjf30/H1sR/dimvrEQgZjT9WJYHjs2too5LiysPSPNesFvi+IAdaLUzr3URER6PWZ/5NhqlHo3QjEgkIWs7+970PYwjoI+v97kud4EjwZMXJw3Dw6nvltDRKHGSzer6Rt16/lM8WM7JPEdToyFKsxQ5EOk9MJbQjE29B/FvFm8y2iP8wSiLND28PyI6y1EpHqt/waPV4WQjr4adRZBm6yUL1ehngd63VnzFnTwooDT88Xnl79gKA0Z85GxDkdQNYcx52mrvmzrNQSyKlJytUxbjDeI5nRKDx3bQS7Rznhm4H9AOd5VCCF8rYj8bnm6eMRfFpEfEJHvEJHfLyIrEXlTRP4XEflzMcaf/BJn1eFwOBwOh8PxHoT/AeV4VyHG+Ctyhb2jMca/KF/Y/qjPEyHJJacgAhWrC3f5+cZgRgnGhQ2dNYq612Xf+12WAH7z4aSHcevm8+nc4bUcgbq11dXTLUQOVmc5zUcqc94zWoNN77pC+ehhXt2ttjnPx9d0hRKRgXpNEYnpPIRtS83X0aJJOIe0oq2m4ZwtEVaIJgRoKVea/x4RqqrmCtmUm30F6XLs/q9UUKLe5+mP4gm9raBRvIA9UssyNtg4jBX50Tb4I0JmghFQDU6rjyKQUEY0oEKkzuqviDxQrCNaPrlKjgiX2Eb4S6Jm1reRv6EQjDBJ8Xl/FoF8NhKw6GKxj5jtXFvUi6vEyJLVBSsf9RNS/S9fX9roX0hBa8YaRupQpkGltkO5ZJ2T14hCRO/vdCP/GRr67qMc6bz5/BRl2dR55X+Fz3Cl0dHNEfKJd250s3lsctv2qPNK1UAYgaoZgdLjlvLO6Kcm475GpR0x2qQR7S2eOTiYBG72OfAgHSIfnS7PDwhrtbscjQoPp7zeOM3PPHiQrz+4N82Hw8D+jmiKmMjPcoTIhEciI40CWPQWc8RYRF/tPpyr5+cYka0WxlNgBCjdSBGGfHOn/bSQzefYNfEAjB0KsIwacRh6RngQUVhrP6Kcvc5RKzAQ1pCWN6EDSlNH2ms0UwfYbDJb4n3PvS8db1UwoUFEukMFmahPhUhdZPx3QfMlFnO0Re3y9aqYUPQHomIpssSAI6Tpg4pHUAingyiMfThqhFoqfkzS2Mb3FxFrU+8ZMUYpyJTzzkjkXLgjLk9Rqa6KOVbHUTcuvEckR1xRzyPm7a1K7K+QzwaVnqqPfe8Zhe+BcjgcDofD4XA4HI4rwv+AcjgcDofD4XA4HI4rwil8DseTEPJmdPNgCU8zegJI8VuwyikdMZSu8ak3svDg62+9LiIir97Oju4315lisTmajq+vb6VzO9B3WqWitGegcxW2PFNm2l2m/Z2e5nWV9eGUVgO6GWlYxvQh5aUpqDLmY0HqF0UBjHYBzyNlM3BjLD2f7HkKS3CTr4lHkHZA6paltT7OVJPYZLrfcK7eV/DaITPMqGMR1CayNoxpxA3iUekMpFoUVErN80A6Fil8ep4+TtwUnjyliiWxMD8kg66uZ/eS/jKAIml5rUhjKih8SseLpJPpM6Be0UjJxgbrJJLCqPU7FgIjc7GQwtaFIhF2jDwPCyISFUVPhP3UfGsySJNaK8V0jztapfDx3Ak2nY/qo0RaYl2BAKvjjOOJ48XoxBXoWKRyJopm0SEhDGJ5x/vpTWbs3Q0ofAfoc5atmn5lmpdWcn85xdjc63lShlbYtH6+m8bem29lv6vHpzscTzTkom/yOP3EXFv4ONnPuajKdOFC4aSkwiZxgksEWhbTNG8p3DbCpynlhddRqJD64TLlNqoAAMUBRsxXNo00oOOt4N9k3zDmebNSnyfS9gLnCKWyU9wHdLxH6nG2ilnY4oXjTD1/7mASRnlwkufaluX/AjyDijpP7f+UuADnGxOKKfoLhXRXBfUwAAAgAElEQVR0jqLPEr9VJoyB5AOVE2oTB4JwEui7JnDCsUHqdCXzOajoBwu/UxQDZQFJKAjfrw5UzLA3CjtEJsDLrxulNqPvtef4flo/jBfy9QzCI1AOh8PhcDgcDofDcUX4H1AOh8PhcDgcDofDcUU4hc/heCouUo2WvTmWaBED1G9iUk7KKVdVDufv9bHP3rmTzn3sl35JRES+4ZWvSecOVo9zzq5PCliyAuXkAOF29WZpsFYS98i/nqaiXQeFrE59LqpDesmQbqc+FsVMskBxpOAPaFqDUiN6+Jlkn6g5nYrpN6TAgf4yyJyWEekvpIVew4eZXkTmnRELCkNGUgdE23eg59RGw0KejZoWqIhGyopR4ArRKVxvTOGRtEDSPqZ7STErxJqe2neNGgb/nAWqZ1VQm+YKlFRHM0W+en2JX1eyTZvT8kSyKhqpkFR4zAyUsHAuU/iKeiw8lQZ9/fJn0IrKMtMbq9HzO1DkjNXSU1ULg2Ov6nx7KFQ1VFKzdDAeSOmx8ysak5HGpBkIuB4KfyLthzBSWoHOd7PaaPpoR1CWNkfHU5lAxTxVxb2HbaYBn7Tn6diofX1B0YJPlOb//I23cjHQpsOCih7rJNFfmTopdnoYcI7qeDbmOAdQ0M8YUazHJcoqPdSqZsG3De3UGA0YeR4v6afpOvqM0QGp6MpusD6cvgsFbY9pacYONvn6xqjhKDxV7Oz9Pec1et3tpr755iMouu5znb/63PtFROT1s3vpXC+Z6hlVNTQUnF5men7qgp6i3sBzcz8uJpB0PAvxzjmVslAcxXy0Vf+m9Qi/LYxnywm9s+gJldRT4QdZVKr1PWS/oPClhJYV9VKfW6hTflIDfCL7QT3GMAeQYh+sVOc5zztQbu1bXIVwQcH02YNHoBwOh8PhcDgcDofjivAIlMPxJMS8eJMFIbCSyX36ofSLErngJRRtNQvXsZ7U6a2n+7ya87P/98+JiMjv/brfmc5dP7iWjlcagSpWV7fwRDrSFcYe7xnyypGtMFbN4rqW7HbTSnI4ylPFGqua9lyAB0osNtlq+gytjPOVaHrdtCrW0SAyUUS9dEV/vYXxDMp/bvVHbw/41vS9ucvjcXhO2XFsuZF/nudSLAMb/W2FMsxXrIsADKMEuqJfrHzTW8Q8ldjfmFicex7VFHxIm5GZJ25Qn45r1NO4sBm57CXIfyo/n9Eys26XPJs4RgqfJY26sVBcKdY+13BFnCIVCyvWjALY8XjZKulSBIoDXjfyM3raaYRpaLIwBII9cm7PFP5wnDCmvskIVNFO+n7WY+ELo8cUeRgQqbUIZYMF60MMlGsaOWOkretzdPVEx9YZyrRrp3MtvJ+GIjo5/Syil/Qb06hZ3+cIlsArx/zSBkZDOJ3YT7ZtQGQmZWAuhjHdq/cJztFvzfovfd0sulmYDi1EqBCZLj4WmmlG/slcsH5WMZpC/yKdwzge1+rHJZLFI0bWOUQmVloX9QqefiaWAQ8zlq/T59t97ptNm6+vorbTnudy+i9ef0FERG5sb6Rzj3Zvp2ML2g6IqpXfJZ0jceYyQaal6zZ3crgv6IewmZMPFOObFNk43E4R2W1AxBVt3qqATqwYOue8beEg9DdkP+ngoKWrhceHsvPyH9P/+S2JFtkv5HFymirwMvAXGUY6tXzVDlFyBNBsPL0XojPvhTI6HA6Hw+FwOBwOxzsC/wPK4XA4HA6Hw+FwOK4Ip/A5HE+BBbKN1lFXS1czi4wUNnrlpNPwQCGVxdgauzZTYX75zV8VEZG//dP/Vzp3+8X35eNrRyIicrg6zulsM5Wj7qrip4hI4GZkjf03zZxeIiKyP5vyUh1ln4c1vEWMMsRN2/2wRKZAPZEeozSuNaaiXjfUkrZQ15kKYpu1e/AGSMNaKS2lXoGyAlqDbXLti42xOf+N0q+aBsIafJeWpScDAvVn6dOTqLJOw427UDwYs1lNOhcXWB+FIAIofObXQt8xpmV+JXy83Gev9xZ+W9gMbW0Cyk+1QCsp6DXmoxTyM6RSBt2sHEBXK0QujLJDGhLrR19KH6XCP8l8nmpSoxa4X3x7IUIxpTWwHer5miPpXla+QGEKUHaidprY4Rk0dFDKU4B31vEq+5Wd16dTnsZM8y0pTcbpQeFAv2mUnrWOOX/XV5mSdKB1uRty+o92p/n9uyn9dsV20Lyjbrhp3uY4UhGxZz0JoHRokJoUvMroqfRdA53NmKA5ycITKj/HsYNGDfPxOi6N3aJvKTWq8K8j1TRqPiEQAnppEr6ggAgGZK19JnDeIjVL27lB29WgjSbaJaicG1CvVzqf9h3nRR3jpG6B6tmqX1eRZzIMtawDxXUwoLbN9I360PO/LZ17/FbuZ2/1D0TkgiDRAr2WAimxiAGM+L+i4nfH5iMK6aiQDB6pmYL1XQp0bPLdB0qX39T5+1uRfquHPcZ4SwGUtD8AGQgLdPhCl4kcQ1m4zuzP6y/PoTmdYlZLloKgpGIS7I2iiL4zLsyll2TpmYJHoBwOh8PhcDgcDofjivA/oBwOh8PhcDgcDofjinAKn8PxFJhKVtIZI1OjEMBSv6jCQyVfj0Y9KLhZpDTp+2Kmjj0aJ9rEj33s76dz3/Tt356PVXnpfYdHOZ1tpvy0SjE42WXaQJuZHsmrh7yJGvSeoEp03SkobIegx2ym/A+slFV+3lTVgixTy4xdtaLCVWv0ljk1asqrUqsGqn6BVrJWdbY254O+OX2j6muo+2EHtSw935AaJlT1MvoOlI1ACerFfKTg+5KojlS+I4VP0865KGlQep30GXLwKvVaGkDPLPSrtP76Lj/fw+fKRBRJQ1rBv8kUA2Oh/EcamslFwU9E6WJhvUzFlNqUxEglmasEUuGRTBFTsmtAK2Sh+9hdPFXQEmPilpHORQrldNzj3LDmvVoMKMatTHkQFLwGFEa1RJI9xpP0Oc1VPY3j1ZipWbc319PxnTB56LTIBymO5tHDctZtPl7VUwaugfp1hPKfnpyIiMjDs6yIt8PYMmHKuMd4sb6/JpUSc4BeJ+W1Aydq0LHRY4yNFem1Vs5cpy3GnimcUayxmI9szKHvFnP4wtgkldOqh+mP5hVHOlihymnXSRvEeLfxgjFWZEq7RwvlvIg5zFQWV/BxKrTX9N4VKLn1OlOvK62z9jxT6Pbnk5IcGK9ygH5iFLgIVcZ2n9Xn9udTnzk5zX2HY/vmzZdEROSrtznNk5Dn8Luf+9iUJryhSDM2D7Pim1l4VqnyYX5ExkKWVL9FEd8y819i5dH/yOZbJLo9zGlujpVGHHI7NF3u+52OkxG0vr7lt8T4r8y0LIB0ubnPVFFRTMC4skWoxMYL6g7lN8/INamEkvNvIotdnFMdp1fpvF1VUrqzPXvwCJTD4XA4HA6Hw+FwXBEegXI4noAoeaGdUYaEcOFmKU3BuUgT43yFrFgx19WaPV3P9e7PvPEb6dzP/+LPp+OXbj8vIiLXbuRV6qrOPhvmz1PRPGLRCCOfYhSC/kiG811edbR9y02NzcxYKbbIUYWppmINYCE7PzPd23VZuIKu6NYOlSxHJlKZ0V5VgyjBRjelx7zSuQuICGj9cNN3hdXjzlafF8QDpvebYARW2dO9XOWe+4kxqsWN8k3ywuFKZL6+2kz1X9qBYKVT5hGiMfBdWma0XY1IYtWY8Ab9gbASqnVSIWpn76SoypLoCvsbfaAsq/Sm6hYjSDl1rgim1mdkoGdP0RXppfEgIrX1n2LTOSJkmq9mnft+0onp8E4MoZP9tDp/jOhoEbG1AiAKvT7AvSpWkvzdRIrN3FEFaCKWlGsUqtYa2sIzaERk43y307LNBUpERGrtJx0inVHzSr+uYt6zscfGmduFFeOJggmNrZgXG+0ZTUpGU/kyd7XrdfplMZplkadivkCbpyPSCZ4GG0/NwjcDWCF6Sp8mi67ylYxwNVqnnC8YhdgcTNGmABEJ1kmv7+raHIEadL6lEM0eUf5O+8Ye8/8O0SZjajQHeTxsMUevtDDrbS7HB/pX0/HH3/70lLf4OJ0rRJhSKLJw8MvvvzzYMp3XBNjPrEoY2A8yv95AoKNBJK9WT6gKojEcb5UljPFS4buytugp51VkJhFEUKSC1bLgExUX4iIjJqGl7+ca3++NlmkDBkTb0RtMjxcjZXmchcJn6tmER6AcDofD4XA4HA6H44rwP6AcDofD4XA4HA6H44pwCp/D8UTERIUyGhwpSaHwbJh+klpVUFmUYxARbie5yTZZD9yoryP0pM10tr/1E38nHd86uiYiIs+98EI6d4RNuhbtr7FZudmCNrKbKBptl6kapIUcrieqT2A4fwfxBmM5wRdGsKm+MioRqWMoX2IrgJdglBx67rS7TDWphvnGVNJzpJpTu+qaVBIVxljlcgb4ONWWPMo8jLnObKN+QegJcwoF/YFGpbs13EgOMxyjdXDTdQ+6mdH9atQzKT/2pgqUoWFBzKSi+AA2MxuFj1TPqmJeTQCFeWb9aF5Y5415U9FrZs7ZJD2SFD6riorrfBC+sM3UpNywHRI7taCUkiY27yekSWX/H+ENyKuKD1BXwgQzUHf0kdpZ/jFGGviqjfupn5O+2oPGVFn7b0DNQpkq5cSy761Bq9woVef4IIvOnDx8hAJOz63WpGKiH9rc0OQ5xihHQ8lXzmVK/jzLIg2W17HgJuXDJXGAWIz3+Ub8WIzH+VFB05qza4v5biFLuZ+Rxss5LnmQUfAgPz4msQ8I8mC8m2hLSb0mzWtqZ7LKN/Ro03E+gsrJ8W40vG6f59VgwhfwvDvf5X64V2GRiDEcIFKxqida6brO/Xkr6Hs6H20xIF68lr9bz61vi4jIw9PsO9Y1pLOXYk4TSNXUnxTXoTDHaP2EHHvte4XuAvvx9KNuIBKxzvTXCufTI0jMaL6kcoLBl34XYN9g387CGew8EPqppnGIabGg5FpdVPCusm/hGnlaNxQLmX52+/ydb9EPhs7m3Sfj82G8/laFR6AcDofD4XA4HA6H44rwP6AcDofD4XA4HA6H44pwCp/D8STETFup1M+loPDJAqWHdLQFxSD6D1GoxqhtA2gRoj5LIyglbzy6k45//B/8lIiIfNt3/Y507iMvPJ+OD9QTqifxARyC89OJyrE/y1QOAQWgU5+MuActAcp81aDqcPC5oIJXZRRHUORGKBJZvlhPRqOqqAI3gFJk9JfCF2XOFyhoOGFe/hX8rlYoU9tPZaGaUkNaYjenLJFUaFSeEX1jMKoJaT54xpTmSJurAuhqskAJQvqd9klSRSp48YwLql4ovkSlE46klwTSsJTqUlD88ruC+UTRt2VlClOkJoFrokmxv4wDVbeMVogykwGo6YbLuCL23oL+Qu+S6V2FgiP9f6zPUgGyKW7Qk6TYqcIVKTV4fb2Z+vH2IHu1BbSTKZ3FNifAsWXtO+IFDfruepioOD3onTVU+rY6hx2ChnReZyU187SKGK+kUK5M0Q7csahUnx7UL/YdO6aCIjQvkz8SfZhI56u07w3su6SXakcqaHtFP9Y8852L/KO4eGxHceEZ0vbiQj+kOhrpoTbHDlCy5PO1quzR+4ljo9byNxt4jK1I8Wv1nWinEV5E/UTJGkdQt/vpeARdPPb5maqeKwuGVabrhWbqU03IdLAGdL2NctTrMff3W/A4e/lo+m69fvJGOjeEYmad8kT6JeeDJcFDtpn1Cfo86RxBuyhSfk39lLQ9Qfn2nVExcz2RDt/qOC7UQzkdxVmWSpFBKz/HQ5jT8ZpVphJW5AzrJF9DJbBSiiLVTwMmKaN37h5nKuX+jH1C+wH7lrw34REoh8PhcDgcDofD4bgiPALlcDwRUSRFSWzzJKMEobxVLm6e5GqQCgUseDKI5BXOAau/q+Npha8/w6oZNpB/6u3JH+oXf/UfpnNf9ZUfyc9fP9Y8Z+yx3FZrWgc1fGH2ebXMVpX3e6xoY9pY2Yr3jj5K+XDUkEaDZ+ivJL2uqCN/2YuIG8EpcjHfTEzBBNs4e3CYV/mHk5N8WVd1uVGeflfDmZa18HmioYhGCmV2Sm82IQGs1OpqX0+PD67gJRUItA3y12oUYkRNBawE22b0ocgzvXL0J1YaAzadJ5ER9I0R91pEolgcLQQbNIpQCDrM06FJmkWWKEYxolZN5KFeEnYgCs8fHOpSLm2ouKKf7mP6FJzQ/DGawqioaDSHERrzc+nhnyNFJHB6PyNA7b3se3PeTv10PMWm7R2W2VuNxmA8rrCR/UCPz3eo5xaeSmk85jxvNzmKsNfxft7n9zcssz7WY+nf5hDs95cd+nnbT/f2nCsbimBoZGGY91cRkc4izmibok/V9gwbf0kEYtm4ZkziBIw6zdfU43yqL+d/wMZG6Tm00PfCcpljimJjPkCdNerv1MMvbIAIxUojUwOM9hiBGmSvz+d+GlQ9gFHWiHn7QOejhuI6uD6YYAQiTDX8hRob7+iPz1+/lY5fff4lERH59MPX0rlxzUjjVD5Gc/qB0e2l9p2HdsYa/nraT0hWYH9fqcdb1cyjTiIivUbtBkRfB4yNXiOMzBq7zGCegrI871r7BYSlTDhCRKTReflwnb912ybPLb3W9dnj7N11vp/mmIgxyuhmpxG0HlFwerwt9fmqENfRn1Hk6VITv7XhESiHw+FwOBwOh8PhuCL8DyiHw+FwOBwOh8PhuCKcwudwPAkhpM3ySRyg8IEirUR/FpQhhLbVMKbQM2DoXoPfFGmwzdKkWnRY93ioG7h/4v/5mXTud33Ld6bj9eFE6dkolU9E5KDKlJ/eKFMtvangISMHWg4IGoBO0O0n6gK9M3rQRtb6LtIeC/qN0re4mdooeqRkDIu7gQtCWb5XN7li36zUoKu1g3qg9Msb8bfqk7Vrc51XBcdDj0mR46b20Txcip3sWg5SMZDBYb6ZmdQyo03SE4j0H9uIP5KGRLqe3kvKKDe451uZAWRf6aekIXETslGKhoKmpO0Q5vmYylf+1AJkKKWI12vWeVxIH4+buEQhUEIvoCRSgVfiuFnPaWBVTQpfo/mDWIhuum+woX+NZw4b7Vv3M21vf+9+Oj4+mOg54RS0PRyHveZ/l8vx6HF+3jxc1g3oqewTSv3r4OXW4N7D48kfatjl/LeFD1Qybsv50zbhXEihHZsvhpJfmQ/1mH23oMfqc+MlAiyJKrowlxa3LVDwyuOi9+Tr4eJ9X5jHTUHn0/mOlFR61Rkbj6ItDY6NQjliXt4cZipm1I7Q9qDoYV7ug1KCqzmdra7z9yE0bCcTTaF4DPyNlMJX1bk/reAD1ei8vEJ/O7qWBY+2SlG8Do+y/hrLrGIkoMt1KP9OqWd7ehqiIxlNm4JAW/VMbCDcRE9AK+seHlodhDU6FRQqBETi/Lu0JDAiIjKOCwInhciEfksiacK8Pr2/jZlyW6MsZ48nUZpHD7LX26D1QwpfQVc3byp+XkCJ5Xx3MZ9MKsb4zKtLeATK4XA4HA6Hw+FwOK4I/wPK4XA4HA6Hw+FwOK4Ip/A5HE9BDmUrZQjXGJk3yhlpTmOkCp+mB7mlFdYw2uTlA88jpVg0q6yys4cql1Gy/tFrn0znPvnxX03HL7zyvilvoBTVB1mlZ3uoFL1VDufvQYvoW6MrLPv/DEqDq4XUsIyd+tq0pPUdZKqJ+VMEKB9FpbdQlaqBIp0oLTLC6yYOc65Au89Ui3GBVkG/DmZ6q1QYKsLtoExoykykAA70+aiMcsRXKi1iTUUzqFUpRaRH3QfSNhJNiVQLqMMlWgW9m+bST5cxKsybi9eZfvJsotwgOB5GP+KKnCmZUdGMNKWqmSuJsR0qfVdN7yuqlplKH2mBOG7MXwgdibRQo46FS55PeWWRoRhoSZWeRFOa601WygpQ7TpQNa/2QVaFvHGUx3atapvtvayaFU8w3o1quwNl9nGm75ihDFhYMmLsVdqRzk7g/XSU82q+catreY54fJ7z+vBUjwt66rzvkN5pzVvQfKAIF3tTV2N/RZsvdNrCkykWP6Z38Wajr86TKdMqWMJz9TDSsJIHHOadpbEV5kOoxHjZeDV6KLydes53RhWl110+bFUFsuuWKXyxNpoxxqP9Okg1RNRar30nQkX2oMl9t6ltXkeaUAbcqKfhi9dvpnN3Hnw253k39cnjo/x9aA/nY4s05hbzZaPfmmqXx04HmpoVlWMz+f8VyrE5z0YHBMO88HG0WwuKN72/FifcOV2OdO9YyIYqpRddg58yU8ftY6YEn475uD9TlUBOsVZ/pIOjnY0qukTVm55byudcLfG9AI9AORwOh8PhcDgcDscV4REoh+Op0MiSrjbSCbywmdDrXJgplotSBIqrfojs6M+68BxSR3p68mDVsdUVvtNul8799D/42XT8Ld/1HSIisr6WVwopCGE+GkOHaA0KtdFoy4D3NxtEgzQr3MwbR3pCqCAEN+EKNuFqlGdV+Oto5IGretyoryvB3GBNf6W0mRyRix4r9nZ+tc7L9G2LTbi66X+zgVcPNmPbqu9qm1cyh/O86pnERpZWGilCwM3A5i1VCJBwhdBW0S8R47BVw8D+tLwpPr+e4R6NxhQrpvPITIhcccexPc/IgW2gZqQMkQnzd+Lmf4YW7LmxHFCz42IlFGklO5u4vCLcp+Mn+/9UFPOgUIJulg+FaMrUN7bwvznA82e6mftrPvyVOR8np7PsDye5P9I3R/YadetzPtbYyD/qOBsxnsMG41mj24xM1BCVObwxic1ERKxXiFB1Gk7aneZVbovKNZi3znecT8yjDJH5hcjLiHmj8DBLP5c9ZXJ0FhEu9l3rJ8vdLEWMC1GWBQEYdo0qRQ7yuaXckW0QCwGWuUBJj4i6RQTor9Ojnzda55tVbhvSIdr9XrPMaADer4NjhbavtP45hitGyfXXxTXCm9uQvytBmQED5q0NvKtu37g+PbPJ+Xjz42/kd2lVHaJMZzWifnq9qfK5NfrUWlkK63V+/hz9vA/G8Ein0nxL3zYyB6wfFZ54+XL6XYDtLIWYyrjw1ByFBgV+Pxg1SsQIlCCqF7QAQ4cEYMlYa77o3RVNuAJtSzETi6bFhd9dRCRZrI0Do5+l7Iu+SJ51eATK4XA4HA6Hw+FwOK4I/wPK4XA4HA6Hw+FwOK4Ip/A5HE9AkJgpOhpOb5rsqVQLaFx6vYrYIM3dm0bhIwVQMh3CvBY24BgEG6KkEMATaqzU1wU0oV/89Y+n4zfuviUiIi+88EJ+D9K3DeY9aVbcVK8Uv3qDqaKZ06y4CTWCTrBSqglZVituaN0qRbHj5v3p3BhACwT3aqyVtgCqxFCYvKigAShBY5vbpNf8BdCsSj6d5qOCnwnK3I0TPQbWUtJj4/WgVM4ALoh5W7EdqXvRGWUJvmHSzalhBW0Om4BHbacKAiR1QSuZe3uwTs37q6BBLehFkJXBjc/mS1PYA9WWZ3qEUWBFqV0FY3Xup0XvrKqgWaWc4hQpgkq5Je2QzWwb9Zs8BgvvLH3vChVBCqVRXWr0rbVupl5BOKJG3z+/N1H4xlvY6H7nYU7zeNpAf45zw0mm5656pY6NGI8jRGfaubjBzVeyr05tfl708jnI46C5PtFWhzrn/xCGatf7Kd/3uyxCERMFD2MU/kLmETcWBnioU50jwoABBf8gm1sKEhSXfhPDDkIu7LtKuaUPFb3uzNetAt2sBr3JKE9VN6eKxgpCNKSKmmgLxsuIzlcnmhSpYehbOvdRnKaqOK9u7KGEDrTJoLTPTYPvU8j9yLJKv7BGv2WBdK6R88lUJxVEInrO5drnGhR6hTwfHk4vfevt19O5O/fv5nu1zW/U+fvaY45/LFNdt/SuwnfvQCl8220WobjfZSrsY6W5DwPGnlJdSZ0uRWW0b8QnxxoCqIacokyIKFTx4iMTolEE8QyEbkwAZ4DQToV+HvTDSvpog98vqgXvSaOwk+Y6knaYEudch2++ncccEXrMu7aVIZSeWc8iPALlcDgcDofD4XA4HFeE/wHlcDgcDofD4XA4HFeEU/gcjqfhAvWutECht8mo5+bqa9M/lFJEnwzQY2LyK6GClHnZIM1CyU3TpG8JKBiWJjNNdbuVnh/gG1NVoIbtWsvIIixf9Cuhf4RRooZxWZHHQv+hUKWKF36WdLGVcufCnB055bmbn1utSclRrx3SC8C7GJR2SUoS82f0F6o1sU0qUx0j3U45IoXKG6kiMm+n0HB6NhW8ubrYlCelDKE/BpkrfRGF7U1l/Yw3xNm99PIJRZ0NRTq8znPjQj9oSBUh/SUsdDqeW+jbEWm1JgaFeuo7KkspBa9Q1kOZtIPtAymEoNJoW1Tgp660fg5AH71eZRrVXtUgH772Zjp3iHt7mehF42mmW9Xoh7X5oUGp66DONKvTB6qOh3Y8unktHRtFc3OQ1dNW8Fiz9llv87mq4dg2alp+QaeqYGPhEQYacjWfIyL8tIxCR1ph5ByptE6Ot1Jxz/KyrLaYbJ4wbxcKlSlfT1ZjXFKALK5i8NjcUaizAb1y30jxK+5ceP0KnGFT59tDPbQjlXRlEzqpV7lOG51bKijeVUbhK2iwoFJqP+UYikOmclZK3RpJW0dBPvfm1Kc/86lMMT/fZwrkZjP1yUNwvE8a+BPavFvn6yPGplG/ScyuQX0bd+q1R8VZa6eCtkcVPTMZe7KiXLgkFrE0hS21baGXSmq6UaPpQ0Xut2ar+EV+Ydov8rGgKhnCvHzMR/EtCHPKbvGttm9RuEw389mBR6AcDofD4XA4HA6H44rwCJTD8QREQZTFogBYyeNKrK3IxKXFS7ngM5LPzo7Dwrmaq7syj0CN2M273mb/ooPDQ72eV5g6iBNU6pmxPcor0v1ZXtW0KEYzwjuKm4R11a8QB1jweKFPEzHsp9VARr3MA6ZZMarDaJTWRc3NsvQkmt5Jb6oibGjH9EzCu0aNTLEcxepvqxtzuccdrKMAACAASURBVPpJ8QYzt4d9vSVV9gCsDturLokUxmFphTAfp8hQ4Q01e+RSJJ8n5mlhRT4uiEBMD8bZM7aAydVZejpZWg2WTOlXYhGo4ZIBlSKB1VI0QaS15xkYgVjJWi+sGbkonp/y3WID+IA2X2uos8by8EbTOmAEaMxlOl5NG+QfvvZ2fuY4R4iSwAkEC27h+oGO7W6PVfRsaCVHz90QkTLqdzbmVf52N0UBro15nX6F1eUHDx+IiMg25jnk6DjPDSZq0LZ5bJk4Q88IDNo8WJSD7YTxZtGoESEmRhLtOqOrYyHYMP2si3bMr7K6GGrOERhbtqk+zNMUQTy8KkevyIUoKZ9Z6rNPCagW0Ocp8sA2bTXaxDmuoaqNadIgH806t+P2YBJaKAQhOmNIFAVJhzZ2e7yzjvhWaHT2bHeSzj06z5HU33g8CahYHxQRaTa5H9b6jViNWQRiU0FARduvRYSlh+nRTr2cWnzf9nhXr15+9KmyKEsRbQFS8S/7qCvGSyKJuR+MC+dEUriITBYKVtjvGhUj5/POORbtNBe0KLV3Fsq61F3ZtQtqgJ2kwAnSt/EU5Qkd/NmAR6AcDofD4XA4HA6H44rwP6AcDofD4XA4HA6H44pwCp/DcVUshMMpjkBfnnRu/vgFKt+cxkU6QKKrkW7GZY/KKAiZ11BDfOD8bKIwnIPKsAF9pUq0j3yOpTB/n6EQD+B1E0fIqLFB3KiDpKD1kikWYUG8wDYpF1QRUH4aFYQoWAcQzkg0tGHu2yIiUq2VggdqFek/yScDDcH3VyYYAVpk0yzxcyAO0C9sQkYBEj2pLngT+Xra505aHTuiXb5so/s8f8VVbYfL7EoWOR4416Q2n7+nWqA+iYBegjwXAipGr0F/Jz0liXRQnIAeNppWg6pvsAH7QA2othBxYCnPjYrJtkUFra3N8NChNlQDCt79O1kw4rl+SnR/mr1oHlMkQuluNfywDkGvPTiYqHUnVd68//hR9ow6Vw+6Af2NPlqd5jm2mSZ19/Wc1qhlbd/M1Khr1zOF0EQLziBYMOp46DBHtGwzFamA7oWMCyIS3BtPTyRrUnZtUk1t0zrnpZrzgfWPBtQm+o2Fqvh5EYnFVWzOt434pB3mq6nPX6I9EBbGROznY4yiK22XqZhdO/WvNWh7pcfZlD49kap1pmXad4P0T6NecTz2Lb9v2ndA3er73HdOH9+f8gnaXgeRCKPs2vx7Mf2V9u0DzNvbmMdJrX27Q/7OB9bJ9N6zs/z+0xaeiePlQjdxaS6e7pargO0UCjqdvQfzdiGkY/3gMsEfmyRxvVBIUQp/yOORfmexmn+fg72/KDQOTTejoALy9w+tMzxUg06f/P/G8Vln8HkEyuFwOBwOh8PhcDiuCv8DyuFwOBwOh8PhcDiuCKfwORxPQBAqlM3XG3qo35kqWUE1WQhh1/BtKTyTlPYzgMuSHUqW6VhVNQ3h1Yp0NIT7lTo3QjWrq7JykqnPVVv4LG0y7cOoQOM+UymYl0rD9Swm6QxLalQ8F5OnCChHlfmJQAWPCdg76dmDe5O3B2gFVNRL1K/VMm3C6iRCcW1ECRulWe2hhMYyJUW+YanNSNGbUyT6ke8khVCVyqDsV7L15pShkvIUL14uKadGNSmokMy+0aSerEZV9nfzC6FXC/vunJtFWmJy9wkLzwioNrhe4/pam+fagPFGtUpl96xBaeXQWWuyG9YTaF6Nvn8E5ag26l7L/ggfqaOJpnT48u10roMvzU4pN/0K9E9QCONm6ptbKKo1IdOUdo8m+tIOdC+qEFr/qkH5oSfUQ6UD7oY8R9w/e5zfrz/3aKe9Uqc4nnrUaa/80h40pELBUdX32PeEYy953eXLFRXzjBqG62vUX22UsUPMIqAQtjZHYn7v+3n70Q/LaFhUDiQPallwlVTRJ48jGxNUjOMcYz5OoaCjoW8qta+Gyh1pYEbdI2U2UfRAtx5HejpN59sOFL2T++m4PZv6DumjFeq50nmRgnJr+OcZzXmDMboquKDTj/2Y++7jLn+XOqWXtm0+Vyru2c85bT5CHbS0qlv4pvP3gJQU56X5vFr66xUc/HmahU9kkQ09RPrpBnqoZdh3ccAcFlKelueoRcVBirvatwblqKmuqperKjy9n/8Wh0egHA6Hw+FwOBwOh+OK8AiUw/EERMkroI1tnuRmXa4MxbkPFDdXps2j3LBZrHbpRn5sMF7y5+Hqq3norPDSW9dvpuPjzZGIiGzoKD/Mo14BC5Wb7SYdj3q97eB4D5+NmFbDcp4YOVpafypWAPXeDitkadUKq8gdNuUPuuIeVssruqOuoBY+RgvCG1xpHRhVM18aikDs58IXFdq2xab6pDNQmNGY1w02Gy9EW1hfY+HDND3HVfpiH7rVaT+vhykr8wgY32WRHfY96l5Y3y0FUJY2GaMf2Mo9va3qedSP/jvFQm1ytF/eiZxWz7k6ikjjdY08HZ/kcycP8qb3k9OpH60gutJsIRZyqGMLKhQDVlq7nQo2III0LogLbDf5+GxlUaucp+48P99p5Ofm7evp3MM+j71HJ9PqPyOBO0agqimtx9h8v4/s55rm/TfSuZsVomEqEPC4zVGGIjKkx3v07U7FGSjMEFaYwzTqSGEMppmqKnAynHuMVXi+qefH202etw4PchR9dTgdj5s8B1Lw4lzH7r5ntAJCCebPV0QB4uxc4SOV5gAUA9d7HZucA4p5UcfOgGgMPZPMn4/jpVmvcDzdywAZx0Z14aeIyDiYAAmEFyDC0O6nPnGifk4iIuEcIg/mWUjvKoz3QTPDqFQDQYla59huyGlWCJ/uVJDidMx98wQRqBwtW/YcTMGcwrtxSeXj6nGFJWEoahfZq6qa7cwov3kK1rNzIsV0juzNo3JVMa/Gi5eTgEaRafaeJTIGI/84Dc5NPkI1DjqHhbH8hj2L8AiUw+FwOBwOh8PhcFwR/geUw+FwOBwOh8PhcFwRTuFzOJ6EGNNmdYto0ydiXPB+Kp+fnyIjifSmSml4dSBNq9ZrpAAgLfsJCt/NazfS8cFqorU045xaJSIinXkmYaM/1lU2JpiwyvQRPr9TfylS4NagANpm5gGeTgV1zliNoDTZpvMIikC1QGcjTaqBH4rRBkhhi6BtGAWP3k70uUrpUgSCbWZtgg3QYwQNy2g3oGVYOw/DEmUEG3rxHtIfzG+sYX/hBnK7FTu044KIRSg23+NlC5udny4iMe+T7JvWTUIhljEfEEOxKXuev7K/L9NKDDX6hIlIyMNM+VnD++vg5i0RKemd7ZjpcuZ5xLG3RpuaBc0AHymjv9YQHOhAf70bpuPdKlMJuyHnr99N17fHz6Vzr9x+X37+cxP17vFDbN4HxW+vdL5hhb6zzv00LviuPdifpmPrPXvQoOipZH2yBa1xtH6IvtdQ9UWrrKHHWXFcz64HvN8ogA3G6wZ0vIPDSQTj8DiLYayL+WB6/oxCNT0ot5p+IMupoN7F2bmsusI8zymtkf4/BffbUln24pEknAGqImleCyISzTrPuyag04OWKChzNHGgAfPWbuqTPXycRvRdq7MAYQkKsFT662RVeHzlNqu1fBQ5oqBEr95WFFRYVfn5k8dTPz2tMm3vTDLFMMRe0ydNmvWvPwvvRWvby3yYroa4PC2iJNUT7y1FUdDOeu9QyP+wI6qfF7+VddFR9S6OYT0HunZBAbS5fMHTTySz/dh3OXZsDo5jlHDSybMMj0A53nGEEH4whPBnQwg/GUJ4FEKIIYS/8pRnvjuE8CMhhHshhLMQwsdCCP9OeMLMFkL4Z0MIPx5CeBhCOAkh/GwI4Yfe+RI5HA6Hw+FwOBwTPALl+FLgT4rIN4vIiYh8VkQ++qSbQwj/nIj8dRHZichfFZF7IvIHROS/FpHfJSJ/eOGZPyYif1ZE7orIXxGRVkR+UET+UgjhG2OMf+KdKozD4XA4HA6Hw2HwP6AcXwr8cZn+cPqEiHyviPzdy24MIVwXkb8gk3TO98UYf07P/ykR+TER+cEQwh+JMf4wnvmgiPyXMv2h9e0xxs/o+f9ERP6BiPx7IYS/HmP8mXe2WKbCB1oAVdWMekcaUySdYK7eFkCBsKMKNKOYgsSkf8xpIaQZvXjjVjo+XG81zXy9BW0j7ixPUJyrMy2iUW+XLekh9JVRyaGxWw7VGwWlUN0itS7VJSl6ShOCsh2tNWqZ6IQ1lAU7eIPY8/1Abw9QHLTOSU2ictRey0KlLik8pUz6aE6LEBHZKQ2rAcVv0DZD00ldLVAkWLlk95jCI9u+oBnZI3F+UiTTMpaU+wQUkHgZnc5OPVmFj9fN8ykWVERQs6z8VCtk8fNLl16ZaClUFyNVVVTdroKVzfG1rG4nR9PYaMEjGgb40rRTWlQlqyBNuGmm5+tt7jtH1yca2Yg096DonahXzmOoq1UHmR677ac03zh7kM7del9WyXvxw+8XEZHdpzK16uHdTMEblDpYg3JbH+Sxa/SlQu0R89lgx3V+vuW99jw91BJlCJSgdW7T7cHkfXXteqYWr6Aol3yeilFEarRep/IeKHxbVdxbremvl5/eqWpoT+ow6j+roy77laW5h745C+OpUJNMiqzLqphlyewZzFFhXubCf68yxTv8CocyG2W6pR/YST7u9sY/JbVaxwvmylWd37nSebOixxbfb4p59GrDdet7gZ58uzw27Lt07fgonVtffynf+9ovi4jIiB652uR3JRp28X1E9sznCj6MiSHIyTTOv6+XIdEBi2kX329LNvL7OCd+Rcy7BcXfPA/xSFz4/gf+nkFPQuvHSH9cmFepDDhGo9CjTDL/R0EkhOpmomjGKN39vTzLcAqf4x1HjPHvxhh/LT5t9pnwgyLygoj8sP3xpGnsZIpkiYj82xee+ddEZCMif87+eNJn7ovIf67//Le+wOw7HA6Hw+FwOByXwiNQji83vl9//h8L135CRM5E5LtDCJsY4/4Kz/zohXu+OIQgVTJJmnv5DBEryTacStMhpKXeHVX2KBkrrBSnRVdsQLfIBTfsQxxgq0YRzzd51e4jL30gHTebafV3hwhLjXeKLoxFrE7uJa9ox8PpuYbbYeEjtal10zxW9YYFf4gam7p3Mb/LVlWLVU0zv+DKOEUurPyIBvT0vlAjph7RjkK8wVbtuFl3xRW49awcw4550Z+IdkQICeQ91liVC40+c8mmcYumcJW5WH8Y5+fo/m7n2fVYJk03FoIO86xEigdwJdmEVGQpepjrkpuh7V0UwxhpnKPJb4pIWz5uNa0RkbwqcgP6dLxGhGnT5fef3VehhniQzh0gMhM3U7ptkxPoBFHNdrq33+c8n2FTfr+fjmtsqj/upgIcIqr00it5Ff3WOIlD3Hnz9XRuRd+3dnr+7p2307k32ofp+Le9/9XpPc2r6dybn8yrvGcnjzUheA6ts7hC0HFaxnryv1qNzIzI065jDGpC4cOkogHbbS7zjZvX0vHNW1PU7+ga8oF+aBG+dpfLETG20phB0GuNCNdKV79DldPsEVlpB/MXys8XkVIdp9DdKP1rrB8Hjg2NktMbqjCFUh8nRlwZGdBI4Yg5jKI5ca1RAETCGFxt1BMroJ3Gbu7ZtO9yhKeCp1PSOEHkQG3TZMVvEiIztVZpU4j3cI7QMtHHCPNi1IkzYrwwKtdo/X3g1ZfTudOzPPZ/+60PiYjIKxBQ+dzDPI4eaGTqdJ3r/JziCOtpHhjJAAk2r8LnjwyNwdqerBDAIjdFBImsE3tm7t00XTeRKPpA5fqvjA3CqFSkoJNFey6Zlxc0i2wuZ9BtLAROrB0vEchaEAIqvlQ6Tqp4gRHxDML/gHJ8ufE1+vPjFy/EGPsQwqdF5OtF5MMi8itXeOb1EMKpiLw/hHAYYzy7eM9FhBB+/pJLT9y75XA4HA6Hw+F478EpfI4vN4wY//CS63b+5hfwzI1LrjscDofD4XA4HF8QPALleLcjR8G/RM/EGL9tMZEpMvWtOVH18iEtg2sQsfhRZGQ5e5cJUsxpUKR+UXvAvBoOt5kW+MpLr6TjWqkHHahH63WmNNUarm8HbDBuM5WmU47ftsm0gR5UEPPBKjc7k65gdLmc6RXoEH2t1DCIaTRKrwFLR6pxLggxkPKDe/t0jsIUoKokKgloDx0oGErx4Eb8Fpudzeepw0b0gmKhzxf9YG4bU9ImntJVF/vRwvOhNLBZSH55g3QWoZDF60sCKgXLqZqLSBh9o9hsvOTzBE5LjX5gm6WN1iYi0iC1jdJXVqDYdQ9ywHl/OrXZwVEeGy28cAblXw0YUOwztbUjN8qTqqPaDD1EJh6dTx41Z3sEvsGjOVDBic3hcTp3dJDzN6jwRX1yks7dO8mU2ubOHRERuXU7ryfdfiWP99PXfl1EREZSRWnKZPXL/hrg1ZP6Lj3YSMmd0q3hLXV8PJXl1q0s0HH9xjGuT+UjxW0gLVDrPxbTBuinSmMr5hjQS40FR/ppi7HZ6tw3gibF+bBX0Rh6JnFTffqYLFBNCzbTAk24WaC0ioiM+q7CB5BeQY0Ja4AuB+pZmsPAshowL5tn0wrl2B5lmreNM86L/Wg0XbyzoPCF2Tl65aXqI0sXY6up7FsEQQVQ525rn/nt3/zN6dzHfvqn0/FHb0wCKt/6/q9N514/yxS+X/jNj4mIyCce53OkaZ8bNZGWRyn7OMnvjhhNF9dJ3dYy9zS0WpjLC+mdgiqqdV7oFZEarfkg7bDoh0YVxQuenJV8biwysnDDZd+kObWveL2JwoxPF+H4rQ6PQDm+3HhatOj6hfs+n2cefRH5cjgcDofD4XA4ZvAIlOPLjV8VkW8XkY+ISLEXKYTQiMiHZAoqfOrCM8/rMz9z4ZmXReRIRD57lf1PT0OQkCWadTVtXNiYKYLVFq4QcaU3SZ5S1hkr4mnzKlZX9Z0Dlp2wQJVW/Q4PclTpeJtXf20TbLEOxI29FiXgpnBsDA4qV0w3Y0Zueo0CIcli9bfWDeY1JIZrrKZZVRTiCrapm+IBON5rtKzDrnBuRo62oo12GlDnY/q5sFFdJMnwjoUkd37/aEWhdDuFALQux0Ia1zbuziM0IpSjzY+UkuFzSfAllCrly/HPZcxll5laDukuR0/T8+XyqIiUEvuM2FYWicQY4ONHcarzzYi+0yMycTr1g8d38zpJd5qjkiuV4mbk47zNU4LqPcjYc+U/v9+iqxGCBMPAfqL5QtSs08jKgNDAW3ezJPl2o8IXTX7mGmwH6vUUJage5PWi04f5+LN37omISI/+ePulr8jl07q++/adXCbhBngVH8ilSBFXEZFKN/hXGDzNQpvXTT5X6RxBkYMdx8YUlJP1etm+YdAQUscQFMQTUngUdUZhkU7z1HW5nWhhYEI8A+Ytzhe9vn+pP/OQ84lZMVQD6mGc9/0iGfQdi8Y0DSOuyJPVMyJUNaWmR5PYz/XMaNXhdhLsWK+XBViszgcUaqPpV2iHqhDe0HrqUI+FXpJ+J1G3456CDHoMtkMFQYmv/OBXiojI7YMcKRvu5sj/7WEq0yvrF9K5j9x8Ph1//ctTJPYX3v50Ovczn/5EOn79fBr7p3j/qPU/NBAcqhF91Y8tI0Shxb3aZuz75bw+FD+nBCgYoXMk3snvb6XfTUaEh46/M0zpUpafqJ70uRgv+Udc+gXn2Y4kfaHwCJTjy40f05//9MK17xGRQxH5aSjwPe2Z33/hHofD4XA4HA6H4x2D/wHl+HLjr4nIHRH5IyGEb7eTIYStiPxn+s//9sIz/6OI7EXkj6mprj1zS0T+A/3nf/clyq/D4XA4HA6H4z0Mp/A53nGEEP6QiPwh/aeZoPzOEMJf0uM7McY/ISISY3wUQvg3ZPpD6sdDCD8sIvdE5A/KJFf+10TkrzL9GOOnQwj/voj8GRH5uRDCXxWRViZT3veLyH8VYyyofV9ceYz2otSsgsNHesuCKznJMpoOqSLcTB2NjgHqlbE+YrGpGYILSrd4+faL6dytYwgWKsWENJ2O7vNGg2u4aXyTjldKz1lhrWUDOp5RljrSCro5JashHY91kqiD2Dhbhfk50GNsI/sIqkE3kCKh9YznWebEMEGepKAUKS0C7VSRdqG0GlIRO3omGd+DtMG065wUPsD+QSqgzKlvpIKQIRiecI4Ihfs8+27aiY9z8zap0Pfoi2M0uWqB+kRKUAOOXKOfH9K5OgiDjLupb+1PIAzx4Dwd7/QYTSsHoP8016b0uxqUm0j6zVQmaEDICHpSurfwWMn3Gr2W1CrRPkERgh7vPN1NY2NX50x/9q276fjG9Wnsrq5lQYZxD4EXHVuvg+I3rrPYyfHzE6XpEerx/HGuv9HygrYvxAusH1ODIkCEwqY41Ol5N72re5TLtNnlZw4Op/nk5s1cJooLmKADPZWKfqxzRI180tOpVWpYOcY59vRcQdubi9IUwhsyz0yx+d8ETkDLq4sBbTTinM4K8+bB9qB4t4hIuwf9tJr6LgU+SAG0PNWYl9ZIf6U+UXGc9/fpcU0fOa4ShQ9zBOcjm3dBN6PoitHJKBIxdBjPKqwSd7k/Hm9ARX1u6vv37mWfp4cn+fnjehrbL20zhW8dM8XveZ3PX/1Qvv6hw+yX9lO/9P+JiMjnzrPH2oN2mkMewwuuPYLI0XruidRHiihN7w+Sn+e3Iok/hOVvjY0zTiGh4nyj9FZMUj3mg1HrfByWaHcXRK7SufLnRcTUDwr+5iV3az6W3vAeCM/4H1COLwW+RUR+6MK5D+t/IiK/LiJ/wi7EGP9GCOF7ReQ/FJF/XkS2IvIJEfl3ReTPxAUplxjjnw0hfEbT+VdkGq6/LCJ/Msb4P72jpXE4HA6Hw+FwOBT+B5TjHUeM8U+LyJ/+PJ/5KRH5Zz7PZ/6miPzNz+cZh8PhcDgcDofji4H/AeVwPBEheWYY3eIya4NE20GInvQYo3wx3L7b5dB/k8yCoGKkaTYYqmt4UhzJRNv4qpc/kM4d1tlXZq8eOWEL1SrQOiylChwC0k6Mbtes8jsPjrPi36gchPE0U6sKOoHSRsYuVxppJRbnDytyGOZqhfR4qcToLctUyES9Aq2uJTVLaQ+9ZKpJAxrUsKDqRRVA41tU8AeiyqD5qQzkGSkNqVCpG+ZlDshzWf44v166NllCsohFH6j5bfSlWWJtkBISwpxqQpU+o77V7Lsx11PTT+cfPMyUnRNS01Rlbw2KXdOBeqZUme1R7o+bg8N0PCj9Zheolgj6TGNeOFTFBEVS80+qI9W2jKo0QjGuNqVONuPIPM/7wdv3c/mNekfq1Dkpw9o+e9B4zl9/Ix1fuzYpcLbIc1f4ypmnEuqhZj/UH6BdLvmFkdLUqZdPqVIH6tcwtfMJaIWkv/Zajy3nDXKaMgcP7wQdT6l7Q0E5hWKdUt/GnnMA+27iSc/PSZ7Xl0T66mJ+n3OWlnzFpiKpMiDpofQjM9pg8Ur0Q/3ZYA4ibdTuLVQz2fd15q9J1zNaIPMB2qD12WIMgDa5b6d2HNpMqxvhh9afT95mG1DDVvTa0zn8117PFLsTqBSu1Xjtxs3n0rlbqN+xm9Qu751l1ctQZWr7qx/9HhEReevsrXTujXZS8Pzlh9k76lO7TKl9pGU+X+c8P0b5jca8BiWUyoqrjZYPFL5CIXLBU5B0vWHJXBLP27e2qi7hyyVmNkl2cyXOCzK9s2RKPdj5vFktPPNewHuApehwOBwOh8PhcDgc7ww8AuVwPBUXNxFfsu6wICIhC14+fZ9vaBGZGWKnj+RzK91kW2PF92DIK+7P6cbar3ohR6AqLLjb0lFT55X/gBWyja6ehxVWHbOGRCpqj/dz9Xy1ndI9KnyQIMiQVnq5op2TtxU2rl6n1Vl6X9DDxaIdC6vEerOd5YsSeo0MnSPCVNPbw/yBmD5ENli+BJS/aiximS/nqN7cW2n6x3yVm91oqccVG+3/Mdl0BJn3ZyIiKtVoPdG7aQUvmkdvTau/D97KUSf63myaa9PPLaJWCxuwWVN7VESvbTbgEY6toKvGsUiSfmG2+jv3CBMRsSE1YkXdIjsUSWBkJI0drmKjo5yfncyeL6KGKRK5fP3uwwezNEdERuw5itKMReRDZmA0x55vakbFpoe48t40FJ6Ynj/bYfM7BVYsgkSRA4qypGcwHzBqmNRKkE8oOkTbaN/NhSNEUObI6Oo80stnkkgF8sRnUtSS0RpEN3sqlyiKCJVFDsLyvJo0aRAZj2hnKwr7CQUpQopAoT/rhELvJ0bQeo22tG2OJHaI/Aebl4f8AeoRjTKSwRGixKtt/tjcf3wqIiK/SQ+zbf7W7XZTAsNxFoo5Ahvi8ZtTtKvuc5lvQhBpqwI277v2Sjr31ev3i4jIN37o69K5H//kL6bjjz14TURE7oZcjqHGB3Iz1ckKPlIH21y+qpkiUKdnmaHRtRCF0b5PoZmIPjWmmR/tSIbLEk3gMoqMpTSfgpaCTuUzCwSRy/wu841PTvNZgEegHA6Hw+FwOBwOh+OK8D+gHA6Hw+FwOBwOh+OKcAqfw/EkBEnx69EoGEt79yVTykqa03yNgnYjpK3YZueGHIpeqRZIZ9XmBF7WDbUfuPlSOjfAUKXZKN0A9A0KRowWu8cm1oo74I2+WJNKAtqHilgUFLImUzgSmwBpMtw/GIWh8N+ZjnvSqUCfMSrMSGrTggdLYeWCSk8MCVzvWnjILOzbHbFx11gv3IhftLlRiSpmYE7pCcWmc+1jl/h5GG8iyjI9Y4lC8aWh9S3zMoyaVnpXKfUJZQLDTx6+NdHNjsZMeTk8vJaOTQRiyPvMZQ+6nQkZhDG3XSDtU/M0NNjIT8sm9dop/bBQJu0oY0HBI3Vtej99oKKeo0xKQY+VOapmLh5Q1FnBJpvzb4oN4mY7wzIV3mPV7FxBA0rddNkvzAR14goUuDAvM4Vi2n2vZeJ4Jv1WacSF1x3mKC1zX1CbpjYIwAAAIABJREFU8Lx5b3GOIt0uUfjyvDQuzQeyQMETCDqwH+hx4YtW+IXFIu/TzUhf6Y6FKAyv63xJezt2g9V2Egqi51DRJ6wdC+oV5qsFup5NV+wPFDwwfzxZznLy/4t9pvitkb2tcl7Z3Q6OszfY4/NW35/pn9eQQFTq+zl+a70H6twD465fyyJK9Sa/bHU65auCF91t9Vu7hTHav/K1Oc/VlJdfuPuJXM4x0/HME7HKTEIJTa4UE9Y4P8tiGm0/n6NiuKShU5vkk2yf5AkZL/kWKjUwPoWi98Wjmh1W4/jMS0t4BMrhcDgcDofD4XA4rgj/A8rhcDgcDofD4XA4rgin8DkcT0CQHDI3ltll4fAFds0FmP/CsndHkH72/KAUgKrKPKawyxn40AuTitCtVaY+nTx8nI4PDic6Q0Bcf7PJFIe+32n6pJqAzqBUHK601PDuMI7BAFphQX1LVJk5/YXXSZEz/6UeeRpIobPs1XOqIdMf4FFCT6eslohy9pne0yl9agDNZ6RSW2N+KaAyVqTHKE2KSmGp04AOFeY0KT5T6KwZzekpCktfdrBtzQeKaoY0kdEmOVodp1PrkLkwvSpQnm1y2+9ID9XqZ/qNkFapPk6y3DeNf0RqE/UVTb2tYt8iKSXMuaCJ+kVuUyBdTJXKyPgMC9yrBWrwlKzRU6kIV5Dn5CKqJquG2XxTaCmyHy4oGxZ36/vpX5RUCDmF0EfK7qO6W+HZpHQy9o2CrmfvwWWqEOpzhXUU6IKDUqZIaS08q2zefqpq2Jz2WPanBYVKjoeC5avPU720oPfWF94oEkBtszmYVEeBkluiYoLWyKnDui7rrNaHRngajWg0o8xSMW4Y4FnUTtS2CjTXLRQ011rANb4fFdQaH51Mzzegm69inrfP9L13Hmefp+YQFMDNVMDDw/x92z3I6nlBv6HvO8o+UkZlfHw3ez+91NxIx7/jlY+IiEgPWmL79kk63h9M+T/ZZFrfo7N8/ex0TqGrCxVXo6NnLPWTYowWbW4Nib4py33uHxfyfPbsx2ee/RI6HA6Hw+FwOBwOxzsEj0A5HE9CFAm29GniBXHu4SEiEmyDNdaxB67K6nDjBu4NvFNsc2sNYxpbBRcEUJ7f5BWy3/M1v326/Fp2b2/hMfLci7emPAs8WJBWryuI9JbgdVvvb+g6DmMd8/rZwmdqbHICo0WT4BdSrJgnTwlGXlQcYOCKNH1fLBqzLNZhG7f38HbqsXHX2qmiNxWW6mwBlWIac7mH0g9LsAl41J3ZzN7YmHcVxTLydVv9jYt+Vvk5RlsiohCWFUYzRohYJD+XSyJY9lxVREQBixRWEBvBxus0RFgmjUKs67zi3J7lftDYu9ZYPT3I77fF6S02Zdf0urGV3EIDAW2u72eeuKl/r3VSoZ6qQhBiHkUozbnM7yu/Mweg5iIJ0z900zieoZBMpaHOakGwYDq2yAfSpMebtSMjoqtmdp39MDK6O1i0BuOd/dgiAj3N5iw0z8bH+y3qVURc58YyQ7gkkqb3FgGehZ32RTk4X1kH4LTDsWXzydz6qch3WAhRDTXbmc9Us1wyHGAiHYwmlMdTm9YLHl7TP+y96HsYJylywSg55wsVZKA4Ua8iEIzcl1H8SQhhtzvN1+FpVNt4QtSpR/rNepoH1kdgS1C8R/MaSXA4QLRGvyH372SfqK+4mQVobquwxhBztGgPcYfb77stIiJb1OnDtx9r3nI6zQ5iIw8mr7qXVrfTua88zD5Sd2R6/g7q6X6X26mz8djkMdjAB9Lm8xbjFbZ5Uo/GIMFci18Gki8cO/eCyFWIuU1s7on0dhRiHlcpWTcLPosLke9STOvZhEegHA6Hw+FwOBwOh+OK8D+gHA6Hw+FwOBwOh+OKcAqfw/EUxIsMlcv28YeF6wVtRek5oBBUa3qPTNyFap9pEQfd9MzzbQ7x/1Pf8e3p+Lk4bRA/u5c31r7wle/PaepjLTb79qBNhJXSa0C5idWcMjVChOG848Zcpd/Ax4mb7g/WU/52kmkV0mGTq/4csDE5LGzAJl1gVDpe33MzMzfVz8/xXmugHpQW+u7YceT60kAaleYIlJrIpaikAzDnUoyg/YWSDzadK2iBs8cvdC1u/rcbSE26+vqYpXuZd1RmWo4LZ7MfTUGqHJTGhMppz/Jma+PWdWPum9UIOpp6oEk+JQFUGfNkqvEVq/APywvLRP+gxNAsRBzYPkp3K9p+fkw6Xbq+rMkCXucy/cWyUvo4LVBqcEw6nHmTFdQv+ExZ3+7h+zYWPlrpbD5i/Zmn0kga0TjL87jgLcX+WBZpTqGjR1qiw9G/Dt0wj3PSW+ftSNEXora+S/omro/WD+gdlTOX31PMm5YmRU2Q/qK3FF6qY6ZIE8eVHjcLtL3puXn6oRDWUGp1m+lqQeflfpfHY9uCDqciEQMEFQr6bGPtBFEWjMdmPdHRIq5HUCCbjX5rQC0bs/6JjNqPT08zhTCiHx4eTXy9U+T/9gtZMOLG7el4/+B+TlPphueP8rz0ttL2REQeP9JvHejcLx69mI5bvdw/ymkOHcs3pd8X/NEFXzxQ9Ar7wPS7BzsHhT1UZIpzSNF5bVsBvq9VmfbnCxsG1cK8VCQcKpFnnMbnESiHw+FwOBwOh8PhuCL8DyiHw+FwOBwOh8PhuCKcwudwPAExZsqY+WNUl9CcUuQa5yrQLlaquNdCZic2pOpMw7GB+tzLSh34/pc/ks592+HL6Xi8N9ENmtuZqrB+4Wa+fqwciEOoGeHQ6IT0pggrKAOubYrIUwXpbuavdL4Dra+g6iSeVE4TikOV8g0KCsJgz1DdjKpeei+U9ehLMyxQE9gOvfk8gcbE43HBGKZkJM0pPSOpc0btKkxcrJyXmYgZVwN5DnNqF/kZpBAmOmDJA1o4Xu681qZj8f65Z1Wh0ge1xkRZgtJYo8d1n8+dPniY0zclOnBWespNRvNxKsxq8vuN5lWRBlXIp8mT8eTryzWF8ToaTYqvnJ8j3SwmnyfSuUCtClZm9r25ol+paEefqFF/4p1UCdT+ty7qETQrbUcqPPLYhsl+P/cXYn8vqGMLrMVlcu4lnkWpTnl9YbxdNi+bQiT9daBcmPMECiIbbcHby+hyFSh0pUqftTOVKp9M1eQctaTCx+MqeZgtqz1a/dA/T/q52uL+NM/b7dlEzRtA62PfsXG2WdNXjONBlf0wR6xX+d5aZTU75InqckahjFQ0BcWv2tRappy/Fj5RzZEq6cXcn6+9kNXzRv2+7qB8e+d8ogO+cedeOnd+Rq+5iVbfDFnO7xCT5K1quvfaPisDPkI97w8rfSeU/TDHpakLfaNGlac+S4VK9H1o5+I6D+38Mj0Vb8LxUlyF1+PCOZqw2bz8bNP3RDwC5XA4HA6Hw+FwOBxXhkegHI6nYNDNt9ndfkExQLARn6uK3FCrkZcVoj30Aup09XmFYfmB4ymy9N1f8bXp3G87fj4db199SURENq++Lyf0XPbZaNVH4xwrWFx9TSIR1EvgZmy7D+VssGJt0SQuVDIatddjijgwgrUXExJABElXKAdusKZ5u+aloqN7x+enFT6ugnN118Isl2mBpE3tCyu6RVmWbaguiEforZX5dTx5mTwUIgZ4fkl7oFjgm/7Bui13Ey9EoIpV/oU8c8XeNq2jPxfRMu1AjEpVGnm692ZenX14L2+2vr6e+mlf+JrAr8wCgQOin6U51XR90aNEUsRgLMQNEDUcTbxgOTRipyn6Qu8vC4DGhahfIRFRREueLCJh6RfRxSJKEYqf0/WFPCMqVyPPjfrRcAyX89V0XAi04Ljdm8BKNusxX7eBUasFzycKIpTCGAsiEgvCG4zyjuPSOFoQ85gyKxdfUHpzzf3EGkTJrSzLoix8z1wwqBCaWYi2FNF4RqDCSrPEtkeWU/45V18SiV04Z3NsBz8vmzcLsQpEa4JGg8ZijFGgZB4JrBbEQJjPUIRKNYK1gmcRok3Ndopmjfs8X7xx7246fu7lYxEROX4uszHqw6N0/PBs+ha9fnqSzr12f5qPdviANZscNRu1vzeYZA7xMXpB2+8rmjzHPYZQzr21fosajKc6l6lWEYwGY4cMF5uvIuo8UHBp4bsRi2CUtRmiXha3YtthPNEXb+m6dUkK8pQjI+Dssx2F8giUw+FwOBwOh8PhcFwR/geUw+FwOBwOh8PhcFwRTuFzOJ6AGKP0nYbMNcweSO9AZNv8RCL4cKHmFunp+qbwBsnh8pVuWL0OCsO3fvAbRUTkGz76TencSy+8lI7PvmISjNg/d5gzAp6TUeQG0kNIhzNPCJyikkCioIzLoXgL7ZOqwbB9r9S6PbytCn+mxug5oFYtGGotaSMssniEm8rzDW2XaRNGT1rcKC6Z2VB67SxQki6h06UN3JG0izh75qkaBwUNaYkCuED9qvmCBVpe+YKFV15GITThDlDDKISgbfrw/uN0rtNN6TV8v25C7GSrVNJ2A4GPgHbSBh7RdgU1SYdlXZPmhHZSqk1olmlSaSs0/cBwHPS4XqBelffOxQFKBtllwh76TDE2lcZE8YCi0XS8gVK0bvJn/GA7zSHb7RbX89OJbkffNI5H83sDpYlCBKOdD+x7lvlZ0ZBjuSDKcikXdQabY9j2pBSl42K4LLyr4Agu8AVJcSuaySjDcxGHJaocr5fiNxQOmb0yUcVFRCqlXJfPkGY1nyNZjdZO9Psa9plabWOzB4WvWSm9E9IETT3/bpAO1g+kpyrdjfTQKh8PaQ5E23A8GlWeFEHSLo2yvcr00XuPMh1v0Ay+9GL2aXoL1197/S0REfnEpz+bzu3Op+/SAah+Y0t665SXDamW+5ynbjfVxQe2Wbjp7mmmFZ50E52vqTKtr43ZR4v+TEtI/Zj1UPgTdnrf8vP/P3vvHqvLkp71vdXd32Vd9vXMnLnZM54xHjuGgGULHBNxCVGiJIqII5FAbnKQooCUICAQRUkIsoTyB8JCSgAJKZAYcG4QKaCgBCkKNhCRQOKAyQ1fxp77nDln77Mv6/Z9X18qf9T7dv1qd317rxmfE4Y97yOds2pXd1dXV1dVr1XvU89j9W/ayjGU01CkokYz5+e98uGld9dMEZSpXtZrBI9AORwOh8PhcDgcDsct4X9AORwOh8PhcDgcDsct4RQ+h+NliPCBMsoQGScFC2xJRWlAhzCFK3rpnIF+I/sU7v7o9t6c9e3f9h3pvI9AZe8DD+bkzZ10/T6zGmQzgIKxUirJCjQn1G81mRoUFHmobmd1hfLP9S5TEIwO1x8yrcO8oVK5qawWtI5xgNKatu1AFSFtJ2oBDaAU9UohIOlgHMjf0etJzRqpKjbo8UKGTl4K1i+aEtkxalaNrrfMKyh2M4toSdvjPalEVlDHLM17yjHKlF49sXyjhpFes1Qh7MbcN/qb/B6fP7nUMnP5J6tEi+k26I+g7FhuA+OTCHrQGE3djW1L2ompo+GZSN0SU7CqtFP6x3zXOYvUtMmomHXlQnsXBQXP6kd/nqqHCgA6nnno0C+M47XTd3Lvzvmcd36aPWpWSsOif884YLwe0jsbe45XqOz1RvHL9exJ8dPx2qN+1r6l8h7N5pYqfEf5r1ZmXNIqp6K/4twKvThUVP7GQmls+U4Lyi44T5ZuCh7UUtUyFCp/dk1d7XAeexVqsIhIW/GpqlNF8W5GvtP0nknhm3A86ndh02bq98aU/9hdqY6qnkuFYmqhqLdsJ3prWVUb+nkVSqeWYjuQfquUXLyG4XCFe6WP4JPL3N9/5uc+P6d/4fNfERGRmz3G1upEn4PtDeVcrR+VCQ+gQq60zT68yt/kb3+QfRrffZJ87w6YD/hqp2hUzZwXSUNu0zMF0KX5S7sp0ZbdOY/nQal5Ayl6phDJcVfZlsBvZjFE2yXtvhTuG7Uer7cCn4hHoBwOh8PhcDgcDofj1vAIlMPxEsQYcyTDFg3ps8BVUYsyYOWF/klBV0pjsfCT1zDu6MrXx8+yz9O907Q59QqrUutVvmar7u6yy6uLLVaTzBeIq0EtyrLAUHNkteigK5g9o05YvbY1GK4Oc3PqpD4X/QGrYlzR1jarecj0WOHaY/X0oNcXEaq4jCwUIhFAmCMXr/BNKXel5+un5epzuZlbozlFYctd4xEdyRYYS/ubis/GMRGK2l7d6s7iZT15bi1qJiJzYwe8x5sneYO2qFDE6UmOjNgGciyeyoClUkuPVb+q3E8pAkHvknm8cRUfJVmEKFIRAINvDlzQ94ZpjdqWGg6o/2gROG6kt/bJ53Xdcp2ybGdG5dKBNZ75/CxHCe6ep/SWyhATxsZNWpG/ubnOeX2OFO73veYhWjEwymAVayt5OcIX8R4tXUTiGG2yCNSRzpuHxstFIkrvp1rUiYINy+hrWT/6PFmJdZEJW+Uv4ojT8poyAtUs88rKprKLvrf015MiilyJSHPexTNb5KYQTUGfaazzDyh/sGO5mhP61nDQvoOoF9kUaw2tFFG3SsS4wYTQsM1bexZEgEY8U8Vb64AI1Bc+/5aIiIxtbpPPfentOb27SfmbLgtG2Bw14T49I1z6DWkafL9QfrtOz7wdcpkf2maRp285eZ7qef25XGe8p4N2vh6/B/T8Pls+O1/W/RCrFn/PGJtiFhSR8lMQ5m9NXYDEspsiLIbxaMeL8YxoVaGL4SISDofD4XA4HA6Hw+EQ/wPK4XA4HA6Hw+FwOG4Np/A5HLeE0RW4SXbCZu05Wn2EnmMUix7HuS35bEr/+uAq06DWSnfYwa9jAiXp7Crd/wRh+3699HiZICLRQbjCKIgjlDEOeIDLnfpMHLjRH88n1iZLj5NUvtFncpmbzQbnal2x2dkEI0iPLLxqVLii2ICM9Kh0v8MhU5eImYBHOl31PNBjvgYmwlyTqWiIRZkRvIyZFgFqVLHZuiJMEY9RMPIJOFzb9L6sNMukYEWr73l/nTdQ7y6zt8l2eyed1+Qd0o36tUzcNB1AHdN0ID2SVdI+1YICV7xzaxPSnF4hEjEVx8OcOx+vsAlDQZMCfUc9zIp+NHuQsb+CXqvPQpotx+NdpUDeO8+UIPN2ShVMfX93+XzOurnM3ls3Vym934NyCyqr0fUmUhmLTf1ar0LvAb8mGB2PE1dlcBRzhLVJWLZTur9S9EAlPCYYgVKPpK3OEM0xcQMIEhT+QyZaU2fszuITnMvnMqVOE851qgugzDRivodK5wtHJp6ZlojnXKEfdUoBZTsPEALK3xCKQGg7wLeN7FfTj6FoB8UNGuWDF7RGvJvGhDXIYS9EX+xbgefk8cnaPKPBfPOlLyQK3wAO4s0+j72uTYIR60B6qpaNOWZsSMlNaVJeI4ajPdOmz8JP5xCk+MT9T4mIyCWEkx7dvDOnTbCpx1OBTSiD0m875K3bXIHOKLUDKXR4aa3RHpf0z2MOVKUAyxKzNSRuU+jD2M/mhW/MawiPQDkcDofD4XA4HA7HLeF/QDkcDofD4XA4HA7HLeEUPofjZQgik8ahOw3Xk4HAJQijZDWkXVCBbKbSVJTAROTG1NvACrlzk/5xnhk5MiIufqnlb+CzdOgz3W/c6h23mTYXCgUvpYrgoboJnhNK3Rv7OoXPaCERYf/9mO+/U8rR1DLGD/qMmCIeaIfmRcO8COpXTOUPhR9JhnlCTaA1TPHllKCSGjdfJbVcU1ojPaYULLL8yvWkMdV8XXhFxfOpZEQsFbiKrldQs5b3p5zk7FNF1St0zkbbdH+VqShFn1krlbMDDatJnXbEq59WbF31QIn1vjG3ScHWWj7zMSpnnNu0TveaqUYFqw9t0ijFEApcAe8k05Pwnmzw0tsJdLfNJt3z5CTTcE7PMl3vjlIhWeOry2dz+vLJUxER2V1l9TEqZI6zHxuoW4WXj1av8PsCtW2+Ds9cUJJNARM0YKNeka5F6pWmKQ5WpeeSGlaQm22OOIKqyl5Fha+izCeSqUjleK6tLS/VHpsKFZDlx2McpjmfcyHvtKSn1i3iSEtc1o8U845KbUqfjYWfl1G7QKce83g3mliLd0sVvfq8x3Y0eusiq/hHQdvjfKV+cfSN6/Bdub5M9OKwzm2ybvI4s/YhzbfR9ERqbuGJmH6Sdi+rTNEzuvkKFPm7Matmfosk/8b1vVyPt7aP5vQXrpNK4Dt9puG2aPOpSekV+lEHFb6tqCpnl7/vnHtu+jRPXO/yfHG9TtTrmxUo7hxuMzhx450rl7Mb2Q+Qbm3eFKFe7+sIj0A5HA6Hw+FwOBwOxy3hESiH4xXIC2LqBxIZjVlGESZuSscK4DjaSnFewQrY+Ltf6YZSbGjt1beFO0tHrBjPq2HFBud8uNEV7xFlDlgtW2ldevhIXd/klSnbQI1F+CLCJbZZueIZJJIXGKdQX6k1Tyj6QNmKeblyTv+dVJke72FAZGCy6h3Z3z2XVBEkEIEvzTEfqIogQ/0OFUGDYjW/EiGq15Tr0DmvIhJRCCoUoRsLPSCLPlNzBAsrnehz5qVEzZRulVc9VyszFEOjm48S+ltol+Ol3HRe2Y3MhVC+Z/M4wXPwlWfBiCP+PmKRkSMiFOaN1TDqRA+c1PfX67y6vFFfmA7P3EKg5eRkU5z3YvX218m/6cmTd+e8y2dZMGLS6GyAqMpYbCBP+WXgoyaCwQjUMnIhx9pEmvI8EWn014j2SIRn9hCjLxvGUzOZVw39vpCuRGcL6ITXFFHuV+1erwhfHIko16+pRL2KsbUc8DUfqpp3lIhIFyveWdU61+tv6YYCIPRYU/9AvpLdLkVweggeTBBAscFfRBsqZnSlL1slalf0Dc5XL5wo5dhudBw2ba70CuoKk/lQtXlsdSsIPlk/j4yL2LzG73S+Z6/eV2QwdCuoSAQbb/n6FYo/OyThig/Bu/F8nUWiPqCej+8OT+e8t55n76one/0W4pt7vro/pz/24FtERORklaNeLZtXo+hvP/7KnPeZ3WdTosnzyoB27k1wglEp/k6h+espn8B7mhBS13Wyb/C7wmsIj0A5HA6Hw+FwOBwOxy3hf0A5HA6Hw+FwOBwOxy3hFD6H49Yw8QBusOZGfKVlFF4/pAYoHYA8o7DNx1XcYXM/h+jbO2lTuawzXWoC7WEzqvcGPFQOY95Uvj5P/hSxKUk3ht7oNaA9rE5yOiq1od1l/5+2Xz7zDj4Z0wgOw7xBPGcV1DhL47h5lIygVdR8YWJh3JKTxkbgXSY0eo0KNFUoOwVh52swggoV+k4+yPKXdLxX2mbwmWsnlyoUi3PrNKNM3WsLKij7yWFR5ho0tGBKCaCKNkavodAKfa5mCh83ynPsWDWPbaQ3ip1UkZ+lTjkyShWFISL6iV3e4Zk6bCDfbFP69ORkzjs7TVSamdIoUvAerc6HfR5Pz55mkYjrC6VR4fhwyDSYYGVRYATzUd5AXqN/5raOFaZk+kdNrISbxdNxCozY+y2omPDaMdrleMTbaWaNFmoVmGPnzf8ZU/Eep6IeqaiKcAiLxz+MfhTIQ6pR6wqq45LKWPTjCmeXz2ylN0doj/nqpWgK08W8VkxR6Tg9xsjJGtQj7zDmfma+eSVtb8mDPibGUZv3irFZpVRXaIn8fjbLRmvwnmK7vEEhvoN+aPmlKE26fioo5BhP+s4bjOeAvm/Uvn5T95GSaD5R+L7i+jN9Jx/q8hzy7fcfzOl3pjdFROTiKnvunXV35vT9TaIAdjGXP/L7q3PDw7O7+fpN+p3js9dfnPNuYi5/3436M1M5B1DxTHCjicv7iMjsmzeG4YVv/esHj0A5HA6Hw+FwOBwOxy3hf0A5HA6Hw+FwOBwOxy3hFD6H4xWYmQlGAShch0hJiuX5ItJ2XKNQ2scAeggi3LMfCo1jlIKwXWevmDBA/eZZCrNfPH4y5120mcL3kYeJDjjRyAJUGqPLtVC9GkHR25vHDHxnDj38I/Rhd6B9DOCS9EqNmMCbGKhSqHQMquiZqhgpP1OlzqVNUkUFsODwkRqmyks1QyiBSmDBenwluQ5VeZlKX/2eNdWvUkjNPFReTs0qyue5NWHA0rxqWT77pr5f0mNI8UNmLlKLHyNprKAczbzFl/v3FOphoO+0popZ0CuXlKdC/QxnBvOhCnwmqG0p/en0NKtubZFut6rCB1pfp/ccpjweDjeZJnVzmVT2Li4u57x+D5O3g9LdoLoVQSkyFcBQ0IgxH5lCWazypeZ+UlNH0wtf+Fmqw1mnaGU5n9BvK4JGZONsBHWJ5walYR1TDpxfX0Xxjdl8d+WLVpW+wnOppo6H+rEfx/In798Ua9BL9bmaN1RRSqGcB/qoZjfH+KlzmUxXPNRQPqnV+0Pqcwf2vZkSi3L4G6Je3hTjafnMRXcp/IGMMlvI7OFc/Yn3SNVO69vF5fyW6JgI8DFsoXg76jgqaMTmn4h5BUNXmtbUEivfFxHp9Ph+gl8WPBmNRty1ed7oODSV1j8c8hzRD/lcU/p8sMkXbdv8u8BqStS/JlIRD99aLb+f8lYBUzGkEujjIf/+8Oj6HRERuVjnZ7pZ5TlmF1Kf2ZE6TKYl6OjHvrGvCzwC5XA4HA6Hw+FwOBy3hEegHI5XIK/mlT95jPlcmOeqo63c0cl9i93cd5q0IvTm2b2cJ2k1arPPNx2e5lXDZ4/SytH1o8dzXvet+fqV+kj0WCIasZp20AjThMjA9WHAuVomrj/s8+q4RaN6ihsU4gPmswGRC/o76QrjAauvvUYGRqwK0hPKfKBGbnauBF6myopxqp6ulOLdTJXIThH1om9NY/c5trr2tUeg5tXf4kzWqboMvsCxyEKsdd5KtKk5cv3YM+qqxwsfK00UG7ztRK7TcSXXIhcUcWCZFhXDki2KsuhuERysbMRnNCYUEeP0c4Uo8flp3sx9sk3CLettXhFerfNKby9p7IzwzdnpeNpdIep0nTdoH9Rjrd/nawo/r8EiG6gnHs/aIsgxIRtdpacYRqmwT6W6AAAgAElEQVRcYpm4Bv1gXj6uqLJIbr+m2KiffjDKPLKbmlDNEc+jalSsEHywvJzZsU+ZiEU58c7JeTRyDL/CJyowcvNCOUeveUVeVdhCann5rhQsqp0bjkTlzMuo8CEc8rzdm2AE+4mW1WBAcd7OEV28J0ZTbrkcX07LS9NAHqcd2KR9k95QjEaZWEnEc0awNazezQY+TvYtYHeqdX10aAZ8TciIgkbUV4mdRbAY3aQgxbo4T0Rk2ufKrPVb16FSq5a+cxstpzDLm5Ot5jMqdWd/V/PyJQ9Os8jE+ipd//nn13PeAd5b3Vq/VbCyG/nM2pgpykvPrdcPHoFyOBwOh8PhcDgcjlvC/4ByOBwOh8PhcDgcjlvCKXwOx0sRJOhm9cw2qJtbzBuTsaETVkaz+EEH2kKLjb0bpUl9dJM3ib4RNFz/+GLOe+eLz+f0s8dPRUTk/tnpnHfnLF9vNK0BG9m5iXZSylEPilaHncNx+UjS0f9HN9q3Iyl2TOsm2QENgeMmKjCBuGEbcg9oZlIEjFoXQaugf1GspAr7pJn3Uaf0WG65usTN3ksyT5l3OwpfffP+y/MKEk+VU1Sn6M35E+/P9MspTUYJO2aHlZ+Ym75b/UHRFHI9luSoqUjr0YLTs7zrVAgmQGRC3ykFD05Axzs7S+nTk+yxtkV6pfwh88cRETnAD+26T8Iq15dZEGKvdL2JlEd4tAWbAzAxRNKkxgphjBS9uVXqtMSZjocX1YDeM191RG/BKJzxCLUse6wt+1EhGBA5npQmhUkk4FePEM1TCR5ifNFTWBwvu6tShspBno/qpn4K1ZTeYjPHEMXnus4SE82yTZpXjBuCYye+dI7I88lxmrCWeUSkwq7rSWdjn7NuAtqj+e7FI3N111boaBTBsPZnOxUUd5uDKnkis3/QdGSOtGmEFD7y7Wwe6CFytOrQPkrdm4rOr/2dde7YJulcziHsB4PS2cuZFnVSal5c5/4+UKxE22JP2ju9+NTnsaDxgnvXqyIFqZZtIEUwXdmj/Haf2uFMMm3vzhYUPqUpd7jmS1dfntNXN2ne60H1PzSgimr1Rmmln7L41OsIj0A5HA6Hw+FwOBwOxy3hf0A5HA6Hw+FwOBwOxy3hFD6H4xUwoaLstVCnDMlM+wCFDyI0g/orQfhIOslKN9IkGl6E59LTtz6XErDruDzPNKOTO+ciIvLmJ74ll/nm/TltIX5ZQT2szzQkFfmT7Ro+EatMczK6wWHMVJDxBnS7MdEl9lDEOyC0v1Pq4A5+I/R3OkQtd5Wnop2WuaNfxybTBqvKR1CbMgpJPEaPmZZ+InyPzXw9rqmf+lJ8LRYYVQWvCs3q2K2rx4sHMHpNXGQVKCg5oKfO9Kf6mttoXj/0iRKj/NTrbDStiXQ0UnqC/QQ9s0H5SmVpaFaDe62VgncHynoPHmaqyrmOow6XD6D/XD5P1LyLZ5k+ewMq7G5I6QEUP+PsUslL4OkUtE1JeaUS2ayKVnB2lp5O8dgcFIwOt/TnSffXNJXUoARqg4LX1Oh8hchezfcMZbb2a0bMDd0UFL5W8+r+eLNSGgbsVFBRzUcKVEX6jVnXp71exS+Mt6wdl5qKXsEGK6QN9TDpbouryzmqNniPcWYVIz3CwvJehUpsQYNO7TNg3u61n0b4AK7hSVjzsaqjTit8FU245vvGuWHS99xDmbDhvK/nDvjotjjealuOlXYmvbMvlAH1WyPse6Cg67lU3qN6rFEDG9DeiVHnmxH0yrHpcYbS6TBJUbHvYMqIUAeVBr50OuYaXN+oD+WGdW7y93nQb/KnH37XnPfBkzfn9PN9mhcHKOwdIqjNStu77gf5afm8vM7wCJTD4XA4HA6Hw+Fw3BIegXI4XoG8MlaLQHGFUI9js/QAoYODejI1WEWfsNp0uUsr3T/z//7fc96HphRZ+uiHvnXOO7+XRSIefuoTIiJy8rG8QtS/kWs0naW6THASv77IvjQbjfy0mAroGbXXDcWHPq82XWOV3iJL+z29cJbH6R3FVVNbwSs2OFdmpTICtFwlZ1jPVsS5WThWNg43XX11tbbmWwarvvaV2FpWuRD6csGIV5VePbcqbHHk+HLxtxCcsGjfsQVx21gdIBgRK5ViVGvWtYCnUeEJNZeN+9RWtBFN6fBOzzYp8vTgQY7IPrifx06cUt+8vHg65z1/mtMXz9JKK/vuAEEI22BehJStb6M/t1wx1/7eVFa5RUQG24xd2Pss+2YhmMAN8PO59bXRuc24ZB6WEaji5fGwXl8TdSli8dwIL23xM6XzKnmO7CMKjLI2nfpxbXLk/QBxhIP6cDECRZObPqa5a2SksxZMYvS1iPpZVG8ZlSojdYsiC3AOmiNER64/Ji7xIo4JOtQwQhxit08Rg/4mRx7mrxzGcIvIxXwn3KcFc6Cd33NRw5fW6VXgE42TfoMYdao8M32sqvMFqjRoWf1EgY3lvDhgPIdx+V0Z0GYTA+Lq+RRoulREyFI/PkHeGvcf28QMaTt4V6HNR71vRN8n66VRsya+x9XdVNYqci7LY/NE56v1mO/Z4qP8oPugiJRiUk3I/agfn4mIyOU4yBcevS2vMzwC5XhfEEL4TSGEPxJC+GshhOchhBhC+LEj535HCOHfCSH85RDCF0IIhxDCV0MIfyGE8I8cueZf1TKP/ffb398ndDgcDofD4XB8M8IjUI73C79PRH6FiFyKyBdF5Ltecu4fEJHfLCL/j4j89yLyroh8p4j8RhH5jSGE3xlj/I+PXPsXRORvV/L/96+z3g6Hw+FwOBwOx1H4H1CO9wu/W9IfTj8nIr9ORH78Jef+JRH5gzHGv8XMEMKvE5H/UUT+UAjhz8UYv1K59s/HGH/0valyHUYFC0E32RbsGdLALOSdQ99xzEPMWAJk/Eib4+2XU6JVfOnyq3Ne98nvFBGR+9/1iTlv/PgH5/Tqww9FRORwCuGKrAcxCzIcJnhjgE5g4gsH0lcwLZgHzg18bSbSBWaRCWzCxfON2j4TaIvcP28iFaQdRA2Mt2jngX4mWteGBA/6bYVRs5Z0sFRwhQJY0JSWFECiRmOrsfoa7lqv1yRf/5KyU/70ssvnAkgpoDjANNOU6m0yaQEd+zZoXs2gbQ6qRwdax2TiA2iI+Z0f28hu9M1XUC3DEV+ZUakmAfXcbCgYcU9ERO6dZ4+0/XUWbXn33UQvuXqeaXu7m0xvHZW2SvGChoPXKFEUzpgpeqDtoR+2mg6BkwCFN9SLB0fHggYV8P8lMk2JfZsb8Y3CV6HtCb18OKBI41JhEFze6HhsUeYafWOldD1S+Ap6qNavY5XRd8+6NKGdhntz3vMxC3tcPHmi1YT4wVnuBzbeC7oNBVKstamBUTyg/iwUGaZFmYXH2SzmQapmrR+T/gnqVkETX2ImaqKeHHujikPsId5zQN+O6v/X4p5G3esgHFH4H83CFKDMBgqDtMV5IkILs3mYhGOPttS5Keb1mTLLby76dpzz8a2iQIrOx3v6FJq/HcpsO44NFZ6Y8veH37Ko73QibRD+Sc087+bv79jndxKHvd4fPowrvNM2/S4RQOFr4CllIh8UuRiFlGH9iXe62qTrI8RtKBxiwhvjPpe5Qpts9P2vOvhBjng+5fdumkk6qX0DXx84hc/xviDG+OMxxp+NryJmp3N/9MU/njT/r4jIT0j6i+RXv/e1dDgcDofD4XA4vjZ4BMrxjQ5bJhmOHP+eEMLvEpGtiHxJRH48xvjF9+rmUeIc0bDlhmKPadjgHybbnFeLpmm5/B4HrDRiU/qNapVfneaVoeYjSaZ8+GDe/H54mNP7barbtuUKV75lo3U/w+b6EUutB21e1jNik2yjq8oHCEdQyvnqKq3o77HRfg/BiYNGrvoDhCO4+msrdFzB01NbrsRR6tnqxo27Regm3b8mSJAK01VDrPoVq5aVcBBXly2yU64NLDcul/0kLM8rqmSr4MUyeE5Otopev766mboS2WE7RTz/HK3CPRkB7KxREI1oGIHSVd1QRF4WRRZS0hZpnI5ExaxNmqZZ5ImIdJp/jgjTw4cP5/SZrrQ+eScHrh8/fjSnD7ud1p1eA2gT3bROwQaKP6y0zxTBnmBiG5TZrqQZgcG5Fq0qVLwpoaxptslUCKAsY1MUrTHJ8Imffo795qB1wjthJFK2+hPvRIc+9pFL3OV2HHR1et1ixRrzUdRoV4PQw1mX57jTQ4om9btcp6fvImo4JNnkzQNYHeBzYZGJ2ub/dFzHM9uurY2zpShLODIH5PGI8UQ5frsn27mgNtjlFREEkTmCNiIy3yOiYBGogRL6kCxf23Av3m1Kt4y45jvO0a5CzhzXTxp5KNqEY0eWKCPuFuVG1gHfSvt+MupWaNOvtBR8KxB5GfW63cAbJFB8JuL5bJjRKWFiNMnOQ99uC1EXe09UdsC3pk3HKWLRrhkt0ggUnpNtFrUGLeaDFnoT1o0LhsRggj/5RAZcJ53Dhwl1btkmFnXD4SHTXrp5PO1KYZfXEP4HlOMbFiGET4jIPyoi1yLyV4+c9jtf+PcYQvgTIvK7YoQ5wcvv85NHDr1s35bD4XA4HA6H45sQr/efh46/bxFSaOc/F5GNiPxwjPHJC6f8goj8DkliE2ci8lER+edF5LMi8ttE5D/9/62yDofD4XA4HI5vGngEyvENh5B2dP4ZEfmHReS/FpEfefEc3R/1V5B1LSJ/LoTwv4rIT4nIvxBC+IMxxp961f1ijN93pB4/KSLfu8gv3OVJC1H6TVxuMk3Hlz4UxKDUgrbNw/LkNFH4KFZRWMCY9wbobA2pbxpCH8Dru7kh1UPvjUKvrvJm46dP0mbtJ1d58/0NNuL3StEbsDGXFD6j643TEaqLVbWgCJiIBJ4JTI1eK02RA3rhRKMCcc82qTCzh0tGlTJ1zO+pspk6VM6tbf8r/aby8ZqgAjegN3kHN64hxTAW5YiIhAY0JqWKxLCkT+od0vWsE/qcXR+gMhFWeGfa52LhA6UbsEHrK9pk3rsPmhP8SjrrE7i+BX/l/p00Nh7cvzPn9f3VnP7q249FROTy2bM5j5SnmWZFz6YaHY8sIcHxWOln0TyRpkWe3lT/T0pqTWjgiJeNHh/ZjMUcpOWTckr+kdIuA3yYpPDNsTkMfQdcHfNO61a5zfcqSHC4ztSmcJ3b9MQ2wm8zzSdEUpKsznio9nxOXt+k/CcQ+3j34nk+9Y6KH6wznZpFjTo30W+MG/2NZUSxktrG3dpsEI+cEGrHX4FX3rPwqdLxjr47gSbWmNcd55sibf5By29VMRdi4jWaWGHlVlgmWd+u1z8uEi8UUBtPBYXR6lQ/Po8pUuggfnDQb2CAWkmn8w29o1hBS0XwmWPhoWbtjCz2o5drgcwiFuTQcQ4UHW/xiFiIfSuL+5ASrEIPha/ZZN8/tC2FM7T+7Qq+bWh0E6Girxjnu06plNM0Hv+GvibwCJTjGwr6x9OPicg/JyJ/VkT+5dsIURhijF+QJIUuIvJr3/saOhwOh8PhcDi+meF/QDm+YRDSUul/KSK/RUT+CxH5FyOXQm+Pd/Tn2UvPcjgcDofD4XA4vkY4hc/xDYGQpOv+rIj8MyLyp0Xkt8b4qgD4UXy//vz596BmmfJVCZfHwtTJqCig5xRqWw1PS4BClikB3b2T/U7Oz1J6s8q+JsMKRk8a7h/hw3AABa9XWkcP6tJuP+J4qsyz5/maq6ssp3Vzo8qANzmvh2qZ0Q5H0kuoNjWrhi1pDyIikynmVegpzBvoQzXTBerKgWOXzp1oOEJvjsneY8E/wbnLvFBQKGSBOlOBVE+jRuWjpOvNnkYFhQ/n2rMUNKGlwhXrMVLOaqa+gVompILoe5pIbQLNSlWmjMqX0ihfKSARSmp2ZtE3oDbVKGWooUIkFfF0bJ1vs1rU3fPc97dKJ7x8+0tz3hWoXb36rbDrtRVqXQf6SuEtJubpJIu8VD3zgWI/Ml7itMzjuaAlSqFCaApWy0tEMn2XtMeCUlXxMGsKxT1NR3o78XqlDDWku4HytEr94P75/Tnv8UXanrraZlrgCn3npEtzVwdqEpVATYlss8nvtu0yRfDdx4ky/OR5pmdyjllvEnVvpL8P5rho77etjy2jqXE1ucK6rHLTXklXewWDqXYbkfxdOdL1Zuoevz8t2jzPoSizQicPUKkzmjgp5IWK2qzCR6rlcr4oFCgLrqksj5NHbP5+OD4VjarPhDlkmqi2qNdDxW7A9QedQ5uw/LW3mHcKqmP5U0QkgCJvNPMGfY8Uw2lWDiRdG/fVZzo5yX2f/koH8zDjO2mWcQ9+yzoct5ZCk0mrZZLu3aMdzeeKWwHQTUQqVE3+w7YDxFXjFD6H4/2GCkb8t5L+ePqTcos/nkIIv6aSF0II/66I/ICIPJJk0OtwOBwOh8PhcLxn8AiU431BCOEHReQH9Z8f1p8/EEL4UU0/ijH+Xk3/cRH5pyT90fMlEfn9lU35PxFj/An8+6+GEH5GRP43veaeJNGJXyZJUOJfijE+f7GQrx1RbrsVOItIYDWn2OCtK52MhmClt9WN3edneQN10CHawzuK0RgZZredOev6APf5g/qBYCXw0Of084uk9P7us8t8/TW8RSzCxCWsYgO2buBuGHXKmCqrVYWNiK2oh9u1sUheaW06rqgWyhopj3XCKroJboxc+R8ZmVhGCsvueLtVtVAsrmpkgB5YhWDDtCg5vNCSL9apq6yUlmtieXq3Vdsg7HtYYdSNvy1WZ5leaQS0b2H2wwiUrmqWK9a2olzfyD77/mC8nKzzPc80orFFCGi8ykP62U0SOIl9jp6ucfu1CVsUigJ4z7qq2kJcoFjmHy0CxagaBTFUnKAISS/DFbz/vFB8JAI1e91MvCc8n7SHLOPeZfmMUMWJn3ld3YaIA6O31vWngRE0rPhr5AML4nLnbooQrqe8cs50Ny39vq72+Z0Nsdd65DrdwHdupw81YbwXEWUVMxkhlMOxb8/CyEkIy8hHzUtN5Ih4RFweLKIUlQhVYeNk0ZQj3xaLzJSiK8sIGp+Dc/SgzAOKTDRhOW/Tm8oiT4XHVxFFL69NmTR20zoXflsZNgUX0fyJz2RRsZzXthw7Nkcib1wyE+j9tA/4FmsEdLVihE3rWYy35T05bwVG3fTUpvBN43tIfXK3z/MmvwGdRl3bFTyZKCKh37p2hfGEiP1U8bQic8CERWreWSOiTiPayUQ2ujV829Amw5CeheJAFHmaRZia9rafyr9v4X9AOd4vfI+I/NALeZ/S/0REPici9gfUJ/XnB0Tk97+kzJ9A+kdE5FeJyG8QkYeSfqf4vIj8MRH5wzHG94C+53A4HA6Hw+FwlPA/oBzvC2KMPywiP3zLc3/911H+v/21XuNwOBwOh8PhcPxi4X9AORwvRRCxjdWVXVk1cYEpcpPrMsQupAGBjNMq9eAORCRCoxS+Pp93fZ3pAGGdytp0KCfkDamdbtC+uMgbsJ8pbU9E5OnztEH78iZTZibE3e3+qy5TDIZiE2+vP0lNy5hmWiMFHXJypjuQwlcN+5MikX6OB9L2UOe1FbP0EBEBXa+pU3pMUOGVvjAFr69O2conRy2zUpCItHYvtGMhKGH+QoVPEWhMls8dyhMb2s7Lx1fciK/nMm+zzu98OlExkotM9Ryn3A+tTeOUr5HRPFLqNCSjIJ6eZqrI2Un28pEh9ck9aHsCut5G6T2bLSg5lUFK+qb15/RQei7HKCh+8wb1QigGdDulXQ6kEc10MFYA6TxJ5MO4faZ2QSSCNDFZevUUdD0tf5rY9zO/pmvWepyCDqAXzeIDdQrfbpfe/8XlO3PeRz70IREROWnzvNNfQIhGxR8uLy7mvIt9TgflXXLeiwO88JRydRPzHFYMI6UfmSCNiEhoQIky6hlFUwpvLb3nkV3x+TpcE15MvEhfXXrtkBpW06UoPeD0GvS9pkI7HNH3Cl8eLaqjsATuZZ5ObVMRjDjCDw2VyStMlQmtZR6p0TYfVLybRGRS6l+Y6nQ4+5YG5EXQ0EwoiYzVAXS3aPNEhYIe2I6gj9rjl22/FImKGMQUpOi1LL5Hfle220SNpvcTvx8zHa9ZjnERkWA+URRQwf2Nrk4NiFG3APRTfs6x4e8hKoyB7+PhkH9nOOh1xbcIQjw2304huoiEw+FwOBwOh8PhcDgS/A8oh8PhcDgcDofD4bglnMLncLwKc8jeQtt1FRyjBxXUKyo/aZi8rVGvJCv+9FDZ290kWsJ6k09cwQdq0vKHQw7bg40nj58k+tOTZ5n+sgcdsB9MPQ10rYKOkO4PFk9BETAKBmkJhVLZ7EsDWgYVvoyu0FRC/VUzFpTFtqVyVI0VGEkxqFDsyhdR1D0VQBpYeDFLXiU3VFGVFKlQerikRTpamL2r2Lb0QNHLI6lJoP/odR1UrVao80ppUJs20+lOT/LnYa3PfP0Yyk39db6/0bdWlCIzX5mcRYrciarsneVbSjPkftpfp/K7KaurnWxynTbGbsG7FfZNuxdpjaSmZck6YKk6Nk6V9yQydzDSZ2w+KCh4Ff+dkvJKo6qKCVkxNpZKZ/TZGmcKHvo7lQc7e+Y65Seoh1oApYfqeZ2qhW3w0u6+kTybuim/6HffeXtOXygF87rP7/bQ5Hc6e9xs0Tc2eT4ad0qVbDK989kFFcQSXZDzDv3MGu3TBYWvoOMZLfIITeqF89JxTRR0NV5j/j/1NepZZa9KFRQRUw7ENfR8GjU99FCZq9D9WqoRFn2qsRNRp+bFx3jxH+V58sK8NkvaFZxVXGcPko/yzNHeH2h5Aem5z7K/g3rX67eqbXM/CSe5n0adz0aMR2uxqfCeqqkd1pU8p15pg6iHKSCKYGzh+s0mezo2pq53pJ8Yta/FJFrQQs0vrKB+A3FZp36f6HgHUPiKj6VWZYQ6ah/zeDXF1cKOalzOUVMzFcqUryM8AuVwOBwOh8PhcDgct4RHoByOlyLmVcJXWBXZhk1GWCJXRZvlcKMXj103Fe7taQnn5jqvFu1v8gbtXiMH/XXe3P/Vt/NKr4lESJtXdHssC93oCtqIaMZ+4qbylL/CJlGuatqq44goQT/mus6RqcKJHSultr21EuzhZlpuajefirYwn+CqnHlf5MPFqmhc5pUr+ro6zMgFgwTzJtvlKjZRbAa2TeVHhCeaivBEIYJhzchnHqk+sIzKNTFv/I1yWF7De2qxAf2klXz95k5a1T3Z5jpd32CzcmWMWCCzRTt12Cw9C1YcciRrGvM91/osqzUiZSir1fqXfljsm5aJvleIbKQ0A5Ij+oGNwxbjmd4nNmamSkS1kJ1g+eYrw0AYA2jmZcNnmhhF0OvRN4YiMjFfhedAVE5XnZElhzG3f7dNx1eb/Jzb0xzxfvODb4qIyKc+/d25TPWi++rnvzznWeRbROTqMs1NPeYIWWO89Wm+aW+e5MPn93O6S6v091Z55X6HbrzX6wvRl8JnS5kBhZYJBVoskY8zQmWDrxASMC2QIyISsSIiUVjdVY5LZb4oIjSVSOcxoZw5clIPBuGWOdOil/SBKp5Z8zmvTgPHkzIs6NHFyIkeHxk1o3iDpRlJo7+S+a4hmjIO6FMWhV/jnkibjxhtFG1sBIpdQHgizMIW6K9gnUzK/Djgm9dzcGn7bdc5Klb4K1lbFX5cOW3iTfw9gVE3izzVRFFEcvT5sM/1s2hULD7jSwbJMCBCxTqpv14hkEWlGxPmaFt5FTPj73d4BMrhcDgcDofD4XA4bgn/A8rhcDgcDofD4XA4bgmn8Dkcr8CL/k41PygeGPp6uD/OfiXwXOAI7BNV5umzTH95V71T7obskXK4zDSnL73z1XTeo+zLMoyZcrM9PUtFg5r0/CrT/XqluzVrUgjg1aN0hgAq4n6fvXgGu75d0oxEMq0lFFSXOZmpebFCQOFmXqSNuteiIG6EH0WFL2hl03GtyLgexzZDL+tZ+jxZP6hsoMaZ5V5s4yXWKXyWDKTxFFQWo5uBrgWKxWQeKGOmtBwOz1DndG4Lz59Vi76pIiXb5jRfvwNdUIVLSBkasHF4NabrQk/6T0qv21znDQQjVkoxXI25Tic4YfbjQps09GSabKN9fR1w3lgNit1UoT2SzjWBXjQcrE3Rt0BbOSglbSxoRkq94uZ90C5NkIIs3YLiV6HoFZSpOW+5kVwkz03leEPf1fofwGMasEF8PCT6b4P39KGPfMuc/s5Pf5eIiOzxnn/6Zz4jIiLPH+V5a39APzTPIs4LhVhHSl8+z/01xM/P6TfuvyEiIheX+fgw5jkoqmpMCBAMqIyjWNAi0X6z6oxkBCqfGC2T89FyXiuxnETKkW/zQeUavdtt0ByZw0yoqPSKW55Lj7CaORWpzVKh6XLen22kRs5RuR8EG4c4HumhNlaOUxzBBBsOoLD3OW0CNrGrz7EmvMF533yyircIkSV7pojvuFA4ajThJ9Bk0ffW6qW32Wb6qYDGHPQXAFKzW/xSYIJVFIEghc++hYXASIXiVwio6LcwFDTfJZUysJ3w/bT5sBBaWXErgtIe2/C620B5BMrhcDgcDofD4XA4bgv/A8rhcDgcDofD4XA4bgmn8Dkcr4SGpMVoD6DggTZi2QVtj+H0kGhUU4NwOc5dHbSsmIfljfqh7EBvuXp+MacfKZWlX5/NeQG0iqfqpTOCgidZEEi2K6UOTKxTpoaNO1XtgjoaaUwWo58KpbCMaVj6jRSECaMXFSI+qrJHTyNeMt8AtARQGFazhw1pOqCFzCpBqBKl2LROTWEkJYvjREVEr6TvVOpcsBsm61vkc0Gt6qDveQfvpQH0FXtneDcrULO6btKfuczTbT73/Czoz0yN6uAFtFmn9z+8mfvZ1Q3pOYlmte4zBXCrHiyrJlO7upD77maV6rxpsvJfxyY3didoRKXqWHqBHEOkpsleKT/ozwPoQdZjSbkZ9lCTVKiQm3YAACAASURBVIWtoYfCFtSspkNKk2JnV4c1Pq1Q4BrVQ2U4pk41P+sRqqemh6lOK5zHTsfODc8npVEdIGNHut5g4xzj9WaX39nlVeoff+Nv/C9z3mc+k9T3PvLmx+c8KrGNa1VnA5VzBXW2Sf2jOozh3ZPsI/Xl54mm3NO3plB6Sw8wglJK+lFWKqv7ukXLx3LyVLT5kurZ6q9O9JsqaL7Nku5Wev28nNvU6OREilwjpG4p9avmw3Sk9EIFdrYDW9LlqD7KvmVlUvENVkHzHFaU2S8ps6TUUnGv1b4/gBJLpbe1jrc1xuOO36XzRJOLeTqRDv3gVOvXw1OxU7p9w2826bVGSwSFLWDalb01QD5+ss0U+m6j1GfQ8kjvNTpfxHg4UB1WaYuF1xzeTzt/f3ORVGuc+yzHg7YzPcjog2W0wXZFSiwpfkaFxPeV30+lhjfj6//nhUegHA6Hw+FwOBwOh+OWeP3/RHQ4fhEIIQs9jINFJtr6ydH8EeoraHO0hqs5XL3WRZyvPnk6533+rbdERKTdw738NAtKBPVoGXuuoFFQQVd/N3mod0gPuhF+j1W9AZt0LaJRrmrlw9F8a7DKTW2FdpWWA9uOG2MRrdK6cnHWfDDatu6zZL5CUWphH5FGfWNsU3HKzMnR0sdWb+fk0pdFBB4vRYAqLtII4OTbx+WKr4jIpO+Pm6It6iQiEs3Tacorrg0iTG1nnki5zHULHyftPhv4+5yc5HPv3El9erPGu2cEa5WueyjZn+fdR4hUar02p/maxoQrQj5vjQ3eq7lP0D9HFpjQ0IUHi26s7vt8z+GAKMW09HiJ9CPTn+wGPdpvp+IWVzc56tfvcpuGnYqV1PrGAWIYW6woW2SKm/9XeWyMc+ACfSNXbx4vB2wqZ7SkW6f5YNXlqNdul1fEL56l0h6/m4Vkum3uZw8/nH6enOb6X9/k6Pff+T//poiI/PRPf2bO22xSn3j2PEcat6scBojqJ3Z+lp95v8/taBH3KbA/58Pj7FuDaAX8ysyPKxbLwTS5Sed2gmsGjm39iQIKfyPz9uIqu87hzCvETPSawretUB8KxY9UD8xBGpGIDSMDS8+oIgIVlxEFzjFS8b4qvPam5XzKubqZ5z3ehwItVg7FQpaIYdm2vG5k38bYbnXsF2Mc34iVsjVkVRdkMM8u825KZepczc80nnnQ8imycFNEtFO6g1dad4Zvtb5H9oOAaJMJ0AwHzGvT8j0e8/uySDR/z2B02voHu85UUQtp26VoSvl5hA9UuxS2KJgVxsqJQeo94PWBR6AcDofD4XA4HA6H45bwP6AcDofD4XA4HA6H45ZwCp/D8RK0bSN37qg/0z5ReSJoCw18NIzOQNYe0yZUwH3HDILvlMb19rNM4XvrItFiziEssYF/j9Gbpk2uR+wy7WGzSVSeEfQXUpJ26ulU8xQSEQn6ABR0KGL7SncgvaTFhtuVUnk6UHrkFXSC2f+n5hcl2TenELMgovlcUNiC1C2jNdAXBdfPHikEKRR6PY42rL9tWmc/0cMUKRh28NNSatgIT6Suy8+30Y34sgL9pCXlablRf70ihS/VebPB8W0uq9Pj7Zo0HooTpPRpl/vJgzdyWY/Uh2xFQYi1ikigzh1oWkY7PWAUdKS6zN5Z5EJCOET7/OmW9NBzXK+XgzJL2smklCB61QykjVr/grfWCOpZf61jBzQj49utNplCtzqDsMcd9cvCBu0RlNtBb09qFP2TZsoP+ttqndt8s03pEcIbX3kr0/Xe+Uoa+z3a4f4Hcvnn56daJt695Ge+vk7v/+Ii0/raNrX5CSizN7vcTzrtO1copz9g87/ymFsIJqy39MpRSi+EOSgGEkKFCopubMIZ9NZan2wW5x4gEBIowqHzCX1v7JUEjLdiPontsiLo23GeQ1BnzlE1oZqCwmc3OiLOM3tfoU5TWJxZULfCcj29oPWZnxc9j3h3q1/xrYiVc+seZjafTxWhl3RZum6P8TqBEmz+RlP58lFAOr4FVbOzvgHKZrOhh1sqf8RzDKBVtmdpvK3OMoVvxDiwW61A0+V0Zm1JajLpeq1eV0iaFHR6e8+Lx9Tj5mGWYZ6IDd9DzXsLfasQDrG+i/5YG2/dEI+oK70+8AiUw+FwOBwOh8PhcNwS/geUw+FwOBwOh8PhcNwSTuFzOF6Ctm3k/oPkffPkUfJDiUKaERR1lC1A4SMiVvIjKEO9FvX2dVaz+vLlExER+cA6UwTOocjXqcIU6xHW+UYHVSy6GUDD2WcK36gqfPZTRKRFRY1S1RbKgwjtm+8MKEnNCrQRpd9QWWkAJaoxOiJpB6PRDkjvgAKX0jbokUIqitFfCpU+qvjpdYWCFSl4L/wUKRX3ZgoD2oltFrQjTPtMx9vdJLrXRAUp+Dy16nHTtVBUa3FcqW/dBm23zsfXm3QdXoN069wmm22qM9hesgbVpNE+EzrSZ0gdS/2nk0zdeuPNTIO6uEr9tAcVpVsnOhjHQz/mOp2cKPVrm2l3K3gmrZVGRQWoQoFqpr+AUlSjBNHXBtfv9V3soXx4GOH5ZLRX0GPXoOqsdum+j9/KnkXXT9McQTrXnYdvzOlz7afNHVKncrJXOuMI2uEkwyLdbfOLPDnLn3ETp3v6OM8hv/DZJ3P6S59L9ODtab7+wZsfntNnZxutf76eLK7DLrXJ9VWmBd49Tycc9qT9YV5Umu8OlNWCvKzUsqHLnXdH6pXOQdtNrjOJWbNhGOh0EWcEpSdtyKa7zvPhqb7T7gQ0q5F30GdpihkhVZ31aJYktUKds0bnI9tNSJOqoCm4WYvzCkW9Ym6zy0nn0zl2WtLBSOcqlPu0fsV9KnXm8UKF1u41chSifP2WdFBsDTh3r/PpNcar+SyJiAz2zkCpXeNX3Hlq6/M9L9VTscdcffLwTq7eeRoP7Tb3zZOQvfCszIkUPYz9RlUA+T6mHu2r2aSvdvSEmn3feA0ohEaXR5uP5PNV+omNN9KEeYl9VzmXUunU1E9LUUj0Ay0/eVS5Cp/D4XA4HA6Hw+FwOMQjUA7HS9GtOvngmw9FROSLv5A2ymNx+IUVQI22jFy1y6tJ5gkRGczBMo6teD/e5VX+Lzz7soiIbD4I76cxR6DOprQqu57yyn2/y6tpJhixm/LKOiNEthDaBm7EzytPG10VPoHvCmGeHhRpGOEpNdpqW2mahHtp1sTVU0uwoblqqav4dFdHbCFWvTOWG7CX68mab8IZxSZarv7qxl2sUkc880HbPGKjvEWbGjxHi3ZumrTCZ35OIiIrCD50W92Yi839LSJQK12I7dbYiI9wU7dK5TLq1HVcP0/lxkKwISetLWLIkYfzh7kjf0jDp4/eztGYGFKfPLnzYM47O8/pDzz8kIiIDG3uzxHv1EQmapumRUQkaJ3xFLaBWUTkoMIoXAU/QCzlQiOxhxuIG+zpbaW+M4hm0JdnrRGRwjfmkN5jhC9bh7GzVpGGFl41B4iuHHT1l1EnQSSyW6f3cHIKoZZtfuZhSs/0zrtfnvPeevSVOX2tEcJO8ir7h7/l03gm7dsQtuh3iCjoe0YQWQ4aiTtF5CBGplOZ/T73vcvneY7bnqT3v9owip0jC+b5dNjlOU6afG5U35kJo5giExahfLbP93z6/NGc/vi3fURERN78yEOUiYiytkVDcypZbs4vjKjmjfgUqmFkXoVm2npkP3uU1b3w5vMYDSoM+paRhxHRHJtvY8WHKRZRJ9TOxHXwzWI66oQRWtYDwhmW3fCecXE8UkSC49miIBD4COgzk40jCh4girK/0et3GC/q5RaLSByeT+/VYF5dQbhCrH4VLzgRkb4SdWsLDzgtv/g8sv7G0DjyLbJ5GW1GAZI5qodreo3cs+3J5hAti/1lQkS4rYgo0SfSBKfSGHIRCYfD4XA4HA6Hw+FwiP8B5XA4HA6Hw+FwOBy3hlP4HI6XoGsbefgwbXI/v5MoJM/ezRQ5KVgTtsmWtAyEwS0kjsMT2QBK37puMqXoy5eJfvORN79lztuETGXZTGkIj9dXc971Zd6sbZ4ZHXxV1qAjzF4OoJatQTmyjc8DxA8ozmDaEoWXDdJBKWMNaEoFG84EI3D/eTNyYVFCjoMWgDzS+YxpY3SndALoMXodqYqkqpiuR1eSw/L1Q3r/PTYzj7v8zmKf2p8UvbXSJgPFASDcEVQkYrWlFw4EJVZKKwStj55Npr0ADQZZgSY2+0Q19HbCZmQlDQVhmyzbL4bctyasv33wo2mM3LmXqWGDeqtsTnM5FLkI2/TMTXs65x1A2RlboyGBckMxEqXwjaAMkdI06XHS9nZ9fk8HfX87UC0HnBtnGhQ3zee67KZUl6HC6d02ebyN2KB+8SzRyFpQKceT3CjDymhSFOPIxW9U/KHdgGqIOcaar4FfV9h8dU6f3k/Xf9+v+u457yPfmjfFD+NX9SfaZJfpdNNB6ZZjrvPNVXqPD85y5+uafI35NK0wr11dZlrh5UVqn/Umv9sNaImrTa6fgSIbMSgliTQl9JPrqyQUMPR5jpTA+UypoNMyT0RkCss50tITaHsRdLyZrlehW4lkAZqCkiqVc5v69dbPmFWTxKlR8FK5ZjhGPy2ljxb0RVmgoBXimY26VtAKZTmvlyn681kC453iBUpna+AHJpjjLE1aoYBOPymtlhS4zYnOPXjmBmXOfmv4fjUQOzHRHdLhSH0zijspchR8sutIUx75O0W79CykqktfEXQIHT+w+v2uCEYEUG6nQogn1b+gtRceZ3FRj/JbafTWQcQpfA6Hw+FwOBwOh8PhEPE/oBwOh8PhcDgcDofj1nAKn8PxEjRtI3fuJXrS3XuJSvL8SabkFBQHo3NQEQesD1O8K2h/+IdRkg4hl//WRaK6fOXJ5+a8szczheDdZ0kVbQPKzAj6kFEHNg3oXFAZGvaJIkG/kggluMz0oDob6qyhf4j4FRTBqDS2CbS+EV5BjSk30adJ6W6kUkQqP6kyUgfvjQ7KTJ3SoNYnmfvUFj4dVhAobLi/0RFG0EdMWU9E5LBPlKBuggreCrQXff6uIVXSFOOoOgUal9ZlBQ+vFahbq7Udp58V20yPwwunbTMlyah7QUDtEvRjpRCS1tjQ78voOaDLBfQzU0Db3iFHT1UpI9puym0y9eqx0m5xDR66s7JBwyG/xarXsj/mvtWb+hsUEveg01nfLSg3FVWziWpUBUXQ5BzxHm08gAYbUefnF9p3zqCQuAaFTueA9TaXuWU/VhXGKWA8gQesAlty/42sbPirfs0n5/S6SxTLj380qyFO8jjff0z1211lut24z9S8/fVKnxMqgjepnQ9QN+vgm3N6muryxoPs92W0OhGRn//Mz6VnW+V7tu1zpPVZmkz1nCI8oZQquu9zm9zsQRfcJere4ZD74Sc++aE5ff9uapOmId0MlKZKyl59nJbKfCIisTEPM44XUrvtRCreLVX06B1VsYEqlfeA3CXJ7aIqqdWTSqaqDCiVGwloZhXlPhGRyfyF8NEbC1NEpQnHF3Ps/vND5esLCp/SkNe5b41kNbbmI5WPb9qcbtfm3UVvqCXFTk7gYabfkoGeeKAltvowpOUVflva5vQpDGhfa9MJFDn61jVWLn2k6NNlbZ5zCmVHo+Pxm2ufHdJH6QkVZhXbjBotku++wzuzz9JNM73uNlAegXI4HA6Hw+FwOByO28IjUA7HS9A0jZypU/39h/dFROStL2U/Eew7hhACVwUrru7FLlGuHltheXX1Ykz3+rkv/cyc9+Akb9S/O6U0FtqkDXmld/ZkOOQV1f0hr8Kbv8UaK8bcLD2qf1HgqiJX4PT6wpOJG7x1ZYsrsWtEi2yFjatmTbf0y+LGWFst7LASucbG4o0KZpycbnBNLmyyd8LVMXg6HXZJKGHc5U3nEavXqyadu9pQuAIriNFWNRFps2U5rjRyBVB9bQIiQIxqrdet5uUqh4D3MEcN6ZcFLyHND01e0W0QxQhzmgIhFR8tRltQftumcukHMouBoJ4TOuohpuhpe8jtvMJ7tMDSOCAS1rKfabqnFw1WinX1+ga+aGUECmZGioDxaF5O44GRyHz94Sr1iRsIrNyoSAWjd2tEUnsdG8M+i3GE69zmm3vad09ytIXeYJNGEBnV2mNsj9ombKePfWueL7bru+meU27zwz4/X6/ts7tGP+oZYUtpBPWk1Q34T59mj7Dmfo6qPbyX7rm7eYK8D87pzzUpuv7saY6EtZgjWo2ujxGRB8yRe/Wau4SQzg3esw25T37yE3Pe93//987pkzPzkcpjXNBn85J9zY+MEaSajANyGK0JJtqCWxZpvT/mzSky3LIovlSU0NIq1lEvgV2DaAfm/Wn2B8I3jeIDc1SOESp4T1VEWSgYMXtXIeLbIwJlgg6rFUUkGLFeLepPEYpex3vAHNOoVx7nnWlDtoOKRBTf8Zw04Y2OHmhFxHxaXMOI+ty1jnhr2feRbUo9iVW3PM4+009L5oM1Dz3zCPOp4rtjpGUW12F0Eu+xMXGf1TiLaLyu8AiUw+FwOBwOh8PhcNwS/geUw+FwOBwOh8PhcNwSTuFzOF6C0Ih0GtK//0aiorRb0MEQBe+vldfCvcKkaanvD1ha0uLkUTcx71eZfjIpXewLu+ybcvKFvzunv/dbv0dERDrcZ7jJG6jP1RRp1ef7bLCBPSrV5zBk+so0gv4ypjqfQTii9BfaaN1Bb+EmWk232EDNTcqD5k8ULNA0qX4d6GQrbX/SLragIHbqq9OCCkH6TDDxAFAZD7v8/KP6ODVj5imtIMgwteo7A8GGSAplp9QH0OWi5bWktOAa3RRP2lzD2bldlhmaTJ9ptC4UgSjuL0ZFAT0nwM9EVUAmvGeSAY1iMk7s3Oy7KgbC8o1iV7BfQJOatP1R5gbvrAunWiaoW/AfMi8g9qcRIhmXSsvcw/uJ/kCTUr86CFs0Pahxz7WfPM/UsPE6U++unz0VEZFnzzOl96JJ999t8jOtsCn9oHPA6pAb5Z5knGwSXa1b0ecpwyhJ9J7qQXlqlfKzXWURiU0HHyWl48Wb3A79BSg/e71uII0J43Cb2mK7yfTYq0v1RcMc1YNC987bnxcRkQ9/6OGc9/Fv/cic/tQnv01ERP7uZ3I7P7/KdMBBxU56bIQ/gMJ4rdTnzSY/88c/9bE5/elPf7uIiPwDn84UvhMIcwyT9o9CkAEb8WOnP3Pfi9rnGgzipliONk/AuLhGRLARv+4xJib6EkizIqW2WeZV9CJCQRmueDLxmVWQgNZUcSKdT+lioBK2MffTJpofV75+xHxitEfOxQ36ruiYIGWWdPJJadL9muJBoPDpOKYoDH3jGqVcd6DoRc3bQYgmwqMt6nhaoT+EJveDuXVXdYqfJSlEQzuxoOV2FH4oGI5L4Y5QviDN40X4Vk8mRoJLtHOMpA2SQGplsbuizLkfUXgCDz1qn71sdgVd8XWER6AcDofD4XA4HA6H45bwP6AcDofD4XA4HA6H45ZwCp/D8RIECdIqze3e/aRud36eqSJPrkGT0pB24dMgFaUbhtNrQjigYZnPxbjKcf8vvPuFOb2ZEoXhuz/xS3OeZBW+4ZCoAW2T6xwOOVy/V5rasKKnEWlUotcvlfP4LIG8RXA4ZlWzifySnDTaC+kn69ZoSJmesQJtcqsUvfUGHh8dqSbpnRz2mS6234MSpTSoglYBOUXzRKL6GX2uZuoe6TUN+XhKq6Cfll3PJSvQa4xC0aCcUNCDlNIDqgmtSyyf15BKM1OKjqpyzc4w+frKcXqYxIIiefyaKPWbGr1pHDPF7iDZH0hWRgukAiOoLrNqGH1X0ChKO4nwB5KC7mZ9M+fd3GQa2buP3xERkcfvPJrzdhdQr1N1vyuqNepLaeHXJR2pZ6kum7P8HOu76MdKL+pBjRqgsjeoWuIBHmQtxuNKlSlXUKhsRqgAXqXrhueZYnfzFH1/UPprl725uk1+qycnqSN/4qNvznk/9beSj9Pz3Ttz3sXTnP7Upz6ldcJ4A730u3/ZLxERkY9/e/ZmeuvdrMj3+ElS77u8Bs0Y89G9h8nT6sMfy7S9D7yZVf7Oz9Lc17BNh5zeKvVvhBLnFNi3071IXzUaW+GPx0ksLvMKmtScz7ylP1B5yZJm1dS8pYSnLVUxeX2ZV6knx14TFsep9jipHxe92Ph9m6dLUvhIYdSxOWG8Uql0ten0nqDQV6aWFnXqTvN3b60qfRPGy9Savx3nNTxzZ6qW9HHKMJVC0mwLKmVrbYb3UPDptJzIZybt0X4u2ymltVy0OSl8UqEAmiJf+X0h73Ja3DNUVPz4LSvaRPMvbi5lpBHmawiPQDkcDofD4XA4HA7HLeERKIfjpYgSdXXozt20mvXgwd356Ltvf3VO22rkVJo+zGgqqcIxKu84xeUpczflzetYDJOff5ZWf6cv52v+wQ/maNSZ6OrqDitcB9REN9FuKfzA1TIVkZBt3ojetXkDedQV0OI5puXzRyzVFFu1Ndq2wab0s9MkHrCFj9P2JE9VFg2KWPfbXeYowG6Xohg9Vpm5qmc+G4HRHkQJLAI4QSRCOvidzIINWNVD1HDSaFFbRKV01Y8iEcXqsq4oI6pFnyfbTB5Yp4bu8rp6y+vpR6JrhIW+idweVmqxnjjVVtcZDWoXecVG+nlxFD5LY36PTZMikB3Cf6HJUckwLpefIwQhrLJssgniA7bx+vomRzaeP89eRY+fp8jTo+c5mnL5LIsbtFavFVa81YOsR38aENFd3Ut9evuBHOFBwFj6YMIaOW8fIXaikSf6rtHDzTxy6Gc1XOW+u3uSon0HRJ3GK3i0WVSvxUZ+iHCIesd89P6DXKdvT5GfL34pi0jcvZelMT7+sZR+8IEcDcB0MkeD7j/MDfGBD7+Rj5v4AOco+O60Gqkem3o0x3o6+xF920yMpGvaF67Q49an0Ldm8QfcktNezCoOKKkWgWoqeS9Ufz5MwQg7gV48rPUyohwqplCxKiJxxG9K8xlAGQvxALukPsdZxLeYdymGYgIphckY+3kaM2GDOYBpjTCt4DXXlC8l3YeWScpcaMBmYD+z7xbz+KItEjnGIzOrXV98EukxthTWmDDvN2ICJmhnRhXtd4VCAIXPbJ5NjIAtTyuRDtADjJF7+/2kGGHoFIN+Cx89eSQDorqvIzwC5XA4HA6Hw+FwOBy3hP8B5XA4HA6Hw+FwOBy3hFP4HI6XIEqUSVIY+kQpZQ9BNflslyl8c5i8qgwhMq9XgCJRRNHtMrABbBPtCM+fq5hpRL0k2sPPPv7pOe++ZFrD/Q9/h4iIhD6H4DeSqXGjbvw9XGWaTgQ17Ew3YK/Xp3gMbMK1DacFEwUUDuVwdOCkrMBB3Cp14vQ8c3rO7qR7dRCGGMZMKbq+TjSv/ZhpjQVd72D5oC2ACmLeVMXyESl8nT5Ty03vNO+Kizy2WTDBB16jFIeWlB/cvw1a/8L3BWUqDy2C3kEKY9B0sfGXPKDKUllE76sJPdQYHnGsnxFaE3wglaV54accUbHIfds8uFKu0mrQX5qizuZLQ0oM+UVKiyTrEVSZXn3AHr/z1pz39uNM19urP1B7F4IPXaahdSGNo0gqp35Rh3XO29zJz7xVCl88zfU4dLnv9kpnHDFeB1AcTXVlBf+b7QqCD0pxHEDZ7R9nCuDTryTPqv3TnNcd8q8Bo84nh+HpnLc+yeWf3b0jImWbfPKj90VE5Ns+ln2etqd5jlyfpesjaLBDj/tvatQyEp517KxIHca5KqxRdNhA0ZtgiXxPePkEpV+R5jth7MwUUNA/beyGiLabauMJXmnFZ2GpnlOKTMgCoSJS0RTmU/iuxPLnAnZgquQdYYPVmF8R34KgvnKBFDX0w6gUvXgARQ0+TVHT9Ksita7bqlfeNveDBun5u1R8X0lpXvaDRimA7TaPp7GYYyp+XYWBn4pQDGFxTbpO6eAFvZI0bXuR7HsQd7Drjtzfnq9oM76zxsSJSKNWsQ90SIp12Hgru9uSCtpQaAXfpeshzeGfe+uLcugxd72G8AiUw+FwOBwOh8PhcNwS/geUw+FwOBwOh8PhcNwSTuFzOF6KmNXQGlPjy3S2k5Mc+n9sSnlT3ZsjR+GpaIMTNDQ/VWhSE09E8fuV0iKGHGL//Lu/MKc/djcpYK1jVsWKUw6rT0qPWt0lTSfT6banKb/HWsuIe4VVur4BrSCAItFqet3lSp+BEnSqnlqbk0zFMBXAG/i+XF5nf6BePZsmqtCBt9DNqmjwhkL9rC0Legeoc41S+IzKl8qv0fUKbticNPW9UGHkjJH0DPh9WZmoZ9uStjEVP188d77BEQGtUKPogaZktJUuHKOizLVGCaRymt/JkjNU0IhAr5kZJKSSwI9rPKR3vgaVE4JzEkwNMnDAUPUpLsoPqMzNZaLCfv5Ln5vznt1k6tqZqm22d3Lf3JznT2bsVXFvzHQ082/anOV5oT3L10zqhTSE/JxUIWyUJjZgjPLVbdap3NN1phK2khtlvEnl3zzLlNzLL2da5NXb6ZkPz/P9G6hyXsc05npQqzoonQ1KyTlFnbZnqZ02J3leDFNWUxz2qX0aqOAVlCLlw9HLjXPUbBYHmlLL603wDvxYUpJMybThrzv0+tF+PFUU20SyalxT7dsF3xr5Su1COQXlyY4fUWRtav6BVVCZb5kuPNIKe6Clz9TMQK/4EBUVZGbB80r3oo8T/YmMRh7Qt6Yhv+dR3zkpasU71W9JSx40zfCMRox3UvsSdyvQOzU94fsxYl6OFTpbQQ3Xtiitl5YqeMX0y741z9voj3H5rZIKrbAoCt9c3qq1f6HMfn4nfM+k89kzo0yqx9q9MK/2mLffepK2Nbx7+a4Mk6vwORwOh8PhcDgcDodDPALlcLwUIWS/HxMFOEe05hReRfMKKTf2jlyhNJ8o3gARCftZLHTahk1kYVO9eS6EkFd6QkcNZgAAIABJREFU3j1kL5vPvf3ZVOd7v2TO28DH6c55ikytzvMzNWtECWw1Cit9xaKf+s60WNULiJxs9fgKF53A82mjEbwJK1U3V2nF/GafV85tY6qIyNToSmWxOgofCltchddLoHmWNvBYRC6wUqq+XyHWI1QW7eKKbrG6rO+fUbG8Cl5bXcz+T+Wrr6z0Fh2hsgp/RBgi+9LIS3HUGqRyzzKtHjLY3T+vfk/L84preH9EGSaN7OzHLJpCvYjtViNEFBuJiGCNKb3b5WjMCLGRm32Ktlzsns957SmiahpQ6bscYbrGSmujK90jIqFWl5aRKgiUWKQv0PcFtjcmVED9j9UqR4BOujROVxCKiTtE1Z6nuj59Oz/TzdsQqbhIYyfssbrM9xNslR/RIoxtC65HRBai+vZM8MNqir5v4gDw9Al5vgkq6EAPs7ZY2l2uoseKOgJ9nAa0r3WwUPhEFVdqnRlNWY7d0Cw36keyDSgQY3MQ9QYwXua2QDSijEC9AvEXt/Y9iyLwObXvRYhlFIIMk/kD0VNo+U6KIHkhUjGfOGfthzy2dir+w5hFh3diEahCTKOiT9Og8zRhOfcE/tYbLFLIqBMjTHrakW+NveiiShSVWQb65ugji2J/noo2N3GgOvPAIkPrDqIonFs06jeA1mLvrGEkLzISqt8/sjrokaYvaET0cI959fNvfVFERK77XdGuryM8AuVwOBwOh8PhcDgct4T/AeVwOBwOh8PhcDgct4RT+ByOlyDGKKPSyyzifXKa6TN372W/k1aFEgpKzqtQxPbTj4b0DIu8I2siDUxD5D1C9JegPVyol41s8lDfbnKdtycqGNHl40PMJAqjQ6zW8MKB98ZaKXgtjo+gZRhl7RxUxw7Uun6f6rfrM83qRr2A9mjIfsplGmUKFiwSsHF3mj2JIGbBDbHGngHVkm1qFIim8MbIiBUfDO5WNgZJQQVR2kQh7FBQCF+FebfwMqv4B3mFlcOh0uGkFMmow849RuF7mefTER+o2nEKf8yUn0wV2e2ymMhefZyaJvet3T7T/R49eltERN59/G4uHRzAd58nwYjVNnek9YMshHCzSuVfCCh8EH+wJiNL6NzoqfA8Cg3ofEaD6rlpO19vfWrTZYrbpsvPt1KfJ+lzO+0gCHHxKIk3XD7OIg6HZ6Dv2HQQ8hxGiuBKvZaaTe7QHQQxtvdS+7TwUTIe0njokUX6j5aJa5oeYilhSeUMoGUaFTSgn4SJY88ofjmrCaTWLb3qxoKSZeeRpkwq6pJeaxvtI/hgNcZtOdpAc9bKkK5deO0UvkEVVCl8lTajiEThJWSUW149N0T9lnPdc944gvps9FM0bhwwB6q4xHTI/dXGsIjIQT92K1C8KWDSrlNbBwgS0d/PGj3i+xc579f0HOY5Hm2P403lPYbKFBbLF5mTVgConpFUTqPocfpF2sSP2J0LJqrdl98/vNSZMkzvK630yM9PhWvJ55wgGBH19yGO8QuIPD16nubbsGpKuuVrCI9AORwOh8PhcDgcDsct4REoh+MVGEddTVZxhNU6r6Q+uH93Tm9UY7m//loiC1z5MRnWpSRpuRezst0YSyF9l4/vbOPzGqvgWLU7mPs7omYUhDBp4jt3c9Tq5CRLKB/0wutdXvk/IJp0rtGqcYRc7QGCEbqaNaAdBm3vEZGwAZGDMS7blwtdo214RSblw23FO1AKuVlGQSjCwAiVrSBW9idrWZVKheWqXm2hd6LwAw9YnZeXHM0P5c5n/T/laJclLHvji+UfqUGs1qByzfK8qbbRHP8YITAyUeNfNzFPU+5vV9c58nK9T+lC0hry2L2We3Y/S/z363yvvfY/CkfsQ14xbzUEtUYEZ9Sx16PODVaHW60+Awx8TdttGm/bVV6FZ9qGxPVVFlW5eJTl/i/eSc988wTCGXloSqOiNmdneQ47v5Of//Q8jfPmFNEipk/S9d2U5xMTR6D8MyMTsk9tvkEEKozoh4P2va7e4xrriYX883KccFqg7HLbpvsWoi6MYM2S3xTCgdS1bqqPPG5RtyKqtKx+KEQimkU6FoGLqma4VGGS4a+KVPGSyqlNEZlfin4z0NVoNInRu66w7NDIPS0vKO6j35rdLvfdw5jHyUqtLNb4vmxOIY2v0agJ3yfO23GetzNGfjgrTVoJPpZsAxOJKCJELNPSS+GJ4gYT+zNFJJbRoFrf5DXsaNa+EfMiBZmsMgVbQi/nvBohLV+TfqdgxNz3UemnT7P9Q6+CEnE1vdCnXz94BMrxniOE8JtCCH8khPDXQgjPQwgxhPBjR879Nj1+7L//6iX3+aEQwt8MIVyGEJ6FEH4ihPBPv39P5nA4HA6Hw+H4ZodHoBzvB36fiPwKEbkUkS+KyHfd4pqfEpE/X8n/v2onhxB+RER+j5b/n4jIWkR+i4j8dyGE3xFj/KNfR70dDofD4XA4HI6Xwv+Acrwf+N2S/rD5ORH5dSLy47e45m/HGH/4NoWHEH61pD+ePiMivzLG+ETz/5CI/KSI/EgI4S/GGD/7tVd9cTcRpYAYLaRb53D9+d0cGj8/TcPp+tFUXv8Cyu362FA67zctdkNroh4Kb2baBegzoC08OSQ/mK/sH815d1eZjtcd0v3Pmztz3ge3b8zpO9t0bt9kStABG/lvdok+dADNabXGxmWlEO53mVpVuM+vbZMsiANGERjoxQLag55LSk6zohGHUjm4CbZCZyu9m7Ap3nyccLwBhyMErT83Djegmak4BBkxRmUYWWYR/+8W19CeZwzmN0K/ElzdGg0p5xXpym7oskcpJajwQ1n65hTUKxIYmuVG/1jp+yPvOlMpQSUp2jz95LsnJcp2Vjd4t2ebfPxDH0599xl8zS7hf3S6SX3+4nmm5T3f5759UMGIccyUowC/sBfnBRERa56eflYDd4WnupIms91mylLYqCcSNsof0Kb9LvW9yyd5PO2fo+/peB56XAMqbDsu55HVSRasmO4mytRwN4+HEW3aKRW4wxOs7D1QPGCfx7jRLlexTjPqdeJrSNGDf16c3zP8fQqvHPNdw7wTKe6g4j4T+9GcnPtpKHfv53vNc1Muc/aGCi/v78cGpLHAYqkIMCcHm4NAFytFKrTNpjp1zGhWsRjP9I1LzzIWZnZ6beHjhDm24vO0x3ge9J02EBGKoHOPfeqzIzz9SJ2zvmVjQERkgJhJq9TzhrS9Ch2voHuToqjXd6Czm3AG2zkWFD2dt4sbkc5tWTXim1T9ygpKsTbmBBGficIcOiYm9jM8n4nSjCUHEBWYXqzyPB+MmMv4fZs5mhCOKC3S0vHdCM+9m5z+QEzz2aG/kKvXm8HnFD7He48Y44/HGH821maP9wa/XX/+h/bHk973syLyx0RkIyK/9X26t8PhcDgcDofjmxj+B5TjGwUfDSH8thDCv6c/f/lLzv0N+vMvVY79Dy+c43A4HA6Hw+FwvGdwCp/jGwX/mP43I4TwEyLyQzHGzyPvTEQ+JiKXMcavVMr5Wf356dveOITwk0cOfVcUhr9THLuFR8n53Uy/uXs/UYYefSX7zrzSE6qp0D4Io1BQTahiSjGBPtODjfZIaRM/9/zLc9797YM5vVXPjY/deXPOu4O4YXthnkyZknN9yPShoKpjJ1AmpGfFNJpnBFT2QPHoTZ1OQBkyvw6oBdJDRlqlJXSsKHw8rAL0QAnLYGhJ6ltSaQq/DjJdJqNV1OSWZPZ/KoSPtKi2UGDC8bBcy2IAd/YboRcO21nr0haUHFCmLKu4w7LvFfUoKrik6JFaZwyUWsi5VMGr3BNXkWFmlxXXQBbMmCxUoOJ4srEJqx5prvPxfpX69HiV63dAPx9MMq+i+iiSaVSF6peqTR5AqWnZtfRFtutMm1utl55M9DC7uc6Up+dPE2X2GrTDMOQHXHXm45THywRV0NCn9KHHeN7nslamlhny9aSZme9MwFPbMF3BS64BJTfqPQe8pzjkidEYvxG0vTDmNpnHdilLmZM2OArBNdJ/l/5GrN+sulmwtIrBmc7ifGJlcryQfmr2PEfHe20+WtJbY3E96Hx2H9DZirFdUecbSeHTdxpQKRunpJBRQXK+mmxplB+sflDWm/Ceh7nPYa7GezBVVPa3kWPHrouVOomARrykHrNcaNTN77Twiyqo3XaHI1Khswqe1I9XKPj8VluqoXdVxzlO30lBG0TaKHroT00x4ZjKH3zpdBx2ge9hSZ0umpEKl9on1mincyiFvnHvvoiIPN09lSfuA+VwvK+4FpE/ICLfJyIP9D/bN/XrReR/0j+aDKa5++xIeZZ//z2vqcPhcDgcDofjmx4egXL8PUWM8W0R+f0vZP/VEMI/LiL/s4h8v4j8ayLyH32tRX8Ndfi+Wn4I4SeDyPfmFS3b9J7XHTbYgH3nfvo7b7XJf9vt+4p4QbNcaTyGqbYAVkOLCA8WV6+mtLr8Vsw+DT+3y9GoM63/JzaICu1z/dtDWom+hnfTHr47zVY3eHODNVeaNTTRQeQhYFP/OD8YohS2ktjmMju0+aiRgdhh4y834dqqMFeMizbXVbsjXSSvSiKPQgaq9FC+uuXG5oFRiNmvq/7urfxj/kAWuSgjRKz0soPEic+ffjLCw2hVjizVK2D1a4uV++UqPpctLXDDZ4qVlfFiRRX5c/C1WPDNbTpHNLhMTe+uNq14r09zAXc2eaV016a+H9+CNxQEFw7DqHnoe8WmfY36oYJz+2JJehxyndcabWLUqevgs6T17/d55f7iIvs8XV6m6O/+kMvftFkUZq1RoBUitrHPbXLoU1k3+xzVOkE6DklEokUEqJkoyGDRmOW8Fqsr7yKtRqcjNqWP6AcHze9wnOIFiFEghX5mP+sB4RcO6PUVQ7ZjW3atz8ZCXcHGM8thdNY677Ke6R8W5WY0IR9ubY7hJcX1lXF0ROjAMNKraPZ9Q2RERSDoD9RWPMwCxkCLd2biC8X8z+iw3qtdwUOMUUtNN8gb2b6WRrSkENqxCNqRqN8shMN5MSznrdLgL5b3lhfemT0zQjSx1hE5l8LHyoQaeM1UEfY4+tvMUkOq/G4ZcwHlr5ZVkh4FHHQOJMNhQ180LWuN69c4bj5e7bR+YZy9fvAIlOMbEjHGQUT+hP7z1+KQ/XZ/T+p4VYTK4XA4HA6Hw+H4uuF/QDm+kfGO/pwpfDHGKxH5koichxA+UrnmO/Tnz7zPdXM4HA6Hw+FwfBPCKXyOb2T8Q/rz51/I/8si8q+IyD8hIv/ZC8f+SZzzi0aMUUYNs9tGTzDLJGCv84luWt+cgc52AIXBKE0of4wv5+bNggXNkbUOY5IUggegOamQwNPmcs774vTOnF5fpeseXGUqoqwfzsl7UTe1N3kb2r3zvL3soHS+KZBCl4syO5YhYOsuBB9mugZ2+k/GQYApUgPvDuOSjKRNIG20gYI+AIqfbRguNnLX7VryNUybNwd9ayonh0om3+JU7Ma2DdD1uxoFo+gvZMdoo9OOhLTH+TgphEh2c2WPCWPoZuRiV3aFRlRonRiV8hgRqUKfkSV9pWAnHmPa2NXcoB0TLXVsMh0uwF/p5Dyluw031+dG3e9VcKHYPw76j9J3DngRRnmilRuFQ4wCud7kiYP9dOjTOLm6yrS9J09mpwY5WGUivHJQ536lc1WXqYqn4905vVZxiHCdxyOpXfPcAa829rNG6U8NH3CmxHLzPUQk9EWuQJ/kRnqj89G+hrxPSzZFP1lS5xqaqFGcYPaNq/fdOXWEbmTiCiWNV69tSd2t0AJ5TUHZVd81PPQEOtxMg0M9ef0sgsHnmIrBt0BZPRPeYDsrVTHW6yTmZ4ZvWkfPooOOt32meE8QLzD6coMxGLo8DozaF0Dxm0gZVupb4RnYkOA5K+1k8J1aP8A9c0PhopFtMi2OR6l8SyhoVKNSkqJXE/gopmXSBWclnXx9qeiQ8vB9C3GZJh3P3gPfM78r864D1HOFdraZ54DvZ6EN1M2/lFT74esEj0A5/p4ihPD9IfDPkDn/N0gy5BUR+bEXDv9x/fnvhxAe4JpvE5F/Q0T2svzDyuFwOBwOh8Ph+EXDI1CO9xwhhB8UkR/Uf35Yf/5ACOFHNf0oxvh7Nf0HReSXqmT5FzXvl0v2cfoPYox/neXHGP96COEPi8i/JSJ/J4Tw34jIWkR+s4g8FJHfoaa6DofD4XA4HA7Hewr/A8rxfuB7ROSHXsj7lP4nIvI5EbE/oP6MiPyzIvIrJdHvViLyVRH5syLyR2OMf612gxjj7wkh/B0R+TdF5F+XxIz7P0TkD8UY/+J79yg5em5qTFQposfM9jwF0k7vZG+o3cXFnF4r96+n2hRi63O0nze3zJFh+2VcHCwe2YA1MSjVZjdmStDVJlOavizJs+pvPc1bxvoHH5/TH+oS/echKEGwsJFodA4q9pzlgOLpg6Tq1YPCd4A51l7bdAC/pFOa1AC61ERvjor/Dn0yasyxWND5wvIEnqslF34gOMGYLIWgXmEHE/Q2Sx+pAYyYQsNOKRJk4YwVimGRVajkaZ1IYaso81GBigpcpnZVUBIqKnwj27mgthkthDQnKw3tCMqT3Z4soZJmFHlaOrdCpSmqVKhZWZ/LdDR6uN27n/rmBz6Q9Wi+8A6s5fTUgcYxgCmMUVHO+kQHutj981z+enOi9cztMOD6/U0ap0+fZdreNXygjDa6XYECuAaNzNQu0fc2MY/dOyu9/0Ueg6tVHtDtTJPK13egTFk2FRyN/kl1UlLoovJKI8uBEllUquSAwdFhIHTFhKjXIJ2pohhR9AszFb0jApa5npxD+MzaJsirEa+bCs26PK+iDhdq4wVDD+1cUutGvRy0Pl5vDD20I6sXZ/+9jE7V7eIE6jQfQNUk6Sk0QS1SDik99ntcksdes9Z2hAJlaOHvp95lERQ/WaMuRu3ryKFf+nCFyDYhhS9dN0H1MlYodqQ5zyKCVN8MpG3GxX0K2uN8IpIV6ltxBeYbU/2MpMBjXg/6fW8wXqlgmW8AJVGjmLO/0E/MxgupjGM+ftBfNkbcc4c+8XynSqF9X36XX0P4H1CO9xwxxh8WkR++5bl/UkT+5Nd5nz8lIn/q67nW4XA4HA6Hw+H4euB/QDkcL0VAREGjBFwvwmbq9Uk6vjnLK1yBm611Oatl1ImrgvMqPvN0UziVKyru8YyGnGEFbqdV7eHHsZe8or0/TSvSn9s9mvNuHuVNwD/wXd8rIiLf+Z0fnvMCV9iutc6rXIHz+9mX5t6H3xARkQOW1Z5f5ahcuEmrlTc7rLDpqlmHGM1QbMJVHyiuGvK4robR+6lYiTTBBrY9l1rnwMkRxQJ9f7GI0GDVtObJNPs8oUzu+bY948d2pUbbKB9fzNLy46JOjHI0YbkSGOgBUzEcYZ+aV8KPaZ5o+zCiam1SRP/omWT7o7Gy/v+x96ax1nTZXd/aVXXOucPzDv326LbbbeOpETQYGzDGMhAT6CRKAmIMIQ5IkOFDohCFREqUSCjfIqHkA4pQAoocCSkkCGIiAZEgtEmQQrAh2CiAG2Pc7bZ7eKdnuNM5p6p2PtRae//WrX2e55ruRs3T6y+9762nhl17rnv3+u//nz5RdtpFnbjxWfvB7AQBGn2C4wnhJPMr+aZv/IZy7qc+85lyfKORkYzV1ZG+N7aKD9EWizztENUZsOLe6eo3q/Hqto7HZ0+eiojI9VOMEeT/fKc+TRu0LY7Txvo2BURqm9xeL+8a4f30CqJZO13dp1fPMNS0Nsn6Id5vggon+mbXDXqOv27UPA0aeTiibUZ4Z3UHG8+YVxmE6BlHKWdrXuznCUEGnGyk45LCqUbEFihV4QK2677Z8kUTqREFlyXUuUWWKBwxkaXQSJfRqBLgYvKNZ+j5lI8a9eJ9GBu3Gnk4HOETiEhjsggTBIHStkZHO43OpjMIS2xrm5tnVEIEygnxmE+jtKN6WY8nRpgs2kLhhZYAB32gnLFdeVE9x0+FTUEUgWjNUZzLESUvRxSvwTfEuj6FI6joUN7r5i0VkkE+BgpGWJ4pELKnUI6K72COuz3WfvDmk8Vz8jBMJ73VXhaEiEQgEAgEAoFAIBAIPBDxB1QgEAgEAoFAIBAIPBBB4QsEXoCu0JPUuwMbOkml6dVPZneBTaowUTE/KUdFSWsKgvO6yd3qvnkmVUMpNWT4zaBImLoEeEDHEZt887Lxt7ustLtv/yW/tBz/yu/9PhER+bpXqvfT1eOn5Xj/9pLWjHB/rhoask9L+sN5pWoI8pfVb2Y61PzZpvrsRBi4GVjLLLUeO3B6RvWmojfU7Lg0pgLBJNciE8mdq4elmcitAgXQ6HJdv6ZiOHYI2Xzm1+Hom6Ri6MbdE144llfm6cXkiTVdjpQYUrJ6875y5lOgccm6zorwBoUxUCZrk3FqUFqWf6zOuY30ljDPUYWjiH3UvkEBl+Pt0jff81rt2x/+YPXm/uzn3l6SgREUszc2hD02Z0pvITWJ4gNa/v2hbq5/+rSOp+u7RUQCe7Zlx8FtYh/YaE+KXb9JvG3JJxrg6mbxg5tAG9yd1QF7oT+To3Ku28RRu7o1PdXRxXRsOKom+s6g9UNaIOloR6XzbZzvWmNAvsB0xvkwtebdBjPL/YPzsh47kQUnRNN4fyN/POPYTvaCts5N8RNznoLzepywnPxlz9pnchS95bvWjUgH/TTv93oOVMu7StcbR/2WoD92O/R9EzsBLU/wXUh6nCDy0IFKahQ+Cnw4EQ6jVZ64PhWlHac6o4VL63MCeqhTLGo1NIQrPC9/+TGuTrn80duqJ/XaFFSctxPGZskT/SY5ByoNGbRAm8snCoBc1XZO15pZeMXRDG/Qb+081nxuITJ1q35gN+P+pReRiAhUIBAIBAKBQCAQCDwQ8QdUIBAIBAKBQCAQCDwQQeELBB4IU7Sh6tMARSGj8+0uajh7gArRXJRsajicFjMl2s2wtykAUk0IzxhlKoO2cAc6wGw0tkTaX33/+96z0Jd+86/5DeXcr/uu7yvH77lYPGymsfpIdVBaO+8W0s/tVb1+7Cod4KjKTHmslKERJbBjUuzmBmvCKbHZDSeWf6yuMuo5U6mru/dTxPGwjAbnKHzOR0qvU3GO9Ws+VaTgyZqi5yh0lj6Vwpwvzdq3xdF/Sp2xn0DxTn/2/imkle+dEU+9u/+ie3dP5sl0lMZ1UhHX9JdTSk0Ndkz7uGtRakDzAh+up2GaHp6DfvKxb/32cvz3f/JnRETkbn9Vzh2gFmlVsd3W929UcW+7aX9aj8eFNrO/gS/bdT3eaz3uMK9sB/jmyFqdrXncoIeKSPF32pxhjqLSmY6T3tHdalpWkwPpqZrmyDmKXjkNn6g+4Z36a8gG1K2RXkMmAAlqFY9LqrldKWl1cIpK237e+qfveqlxrqLVpdkOnVFiTyiJTuM6gYaQZpPWJ1KHAamUjnHcoNeautwMRTXZ1wE93S3UrON1pe3NU6WDDxujk5N/Ch+n3dKPM1T2SO02f6gExVlSVTsr3ykKn53H8/TvS6qOOpFurfORV//ksSkPCs7RY0znvRM2jdbnqWgnGDu9m0/1Gf5jsPyBjj6t+YDdqW+V8RaR58GsG0Gb72/QT95Z2nR8XOelTLsvzeEBr3nt4tVyfPnqKyIi8tbTN0OFLxAIBAKBQCAQCAQCCyICFQi8AMVOprGxl5twbWVss6v+CP2urqoebpbVvHSEx0lrM7QzV7dN29jk6W6whCBWgVW7rQ7x/lgz/S2vfrgc/75P/DYREfnF3/axcu4cK8FmETPBe2PYVMGJV15ZNqBPbz4u566varRpOuqq5h1DA5h2bLXPiR8sZc3ceeuWXy1a0jYlyg3hDOcbY1E759fEaIz/KXJPMKLcy/zVJbpJdFUW+S8RnhMrzr3mZfbmVPXYsupWLLGKb95WiPB0zJ9GsCZEyvpGmbjRPdPbqqy4Q9hjbNffGq26Q4TshA/UUQVGNhRdoXeJ1tXoVvaRv15XnNEOI8eRrgrPY03/wx96fzl+//veIyIi7zypnkxc3TWrorO+rqhvbMD0NR+HufaNo27K39/WlXt6tFnfnFrRPxEZ7F2MSvVsp+XBDeaD3Rk8ZF7RgYAxPmCO2up5Rr1yj8zsNJKKqF3XL88MFBCB8IVFqBi1YpYH7YebrqZ5ni/K8a1GPOa7Wo+pr/f2JgqwRdsLozE6B821HzgfqxLVawlTYIriVG9ldaIpa0UJ50mUG8dOnICPlwHfzFN9J/O5FlMZEfmYJrzfohCYL4asPk0U8KBghPbdEfWYhnpv3mk908cI0c2kYiXm9yQi0kFsxSJPM/2uGE0yH6gTbAyLwHmBEMzr2pAkC0irmvP6W+Aiut16PpvQ3zqI4ti7uiOir5yj9OeR0ccGMyC56CuYD3l9XfD+Fp3jmDXShzF6vq2/s1j2bq4ReX+3Hlv0kqyRRzUAJd98vsybt89ek5/Hd/FlRESgAoFAIBAIBAKBQOCBiD+gAoFAIBAIBAKBQOCBCApfIPAC2MZ3EwXwGyNrbH+rdIUBG8jPLi/L8fU7y6bMnssWR2zeLDSsNTUtOyIPQvyaVgY9gztajQnyXR/7eDn3B3/PD5bjb//oL1ryPKw3IPN4e1FpFxMoiOYD0p1VCoDcVZrU/lZ9no6gq4GCUakLoJ4pbWMCVWQasXm/1AUoQW4TrW7sdTt/W4cUbCCNrJyt50i9U5GMBD8w0g2zUucSqB6lyKAJpWY/antfTS2KHagg07ym91A3o3BF0PcmR1VZbuiQP/r/GFUI1eQ39du9LhuTZRTpVLQ2GB+P6Dvat4Zz1BkL8IINykbdyqQqkoqjfer2tm6WvoQn0rd88zeJiMhPf+bnyrl+D5qUUXZB4asGQfXU/lA33V8rHe14IJWyzhc7TTNho3zfrTfSk7ZH5pl5kLE/jxBwmWWh1PSk6JHqqoekIQ0NH6oeAirmweZFU/C9JEZbAAAgAElEQVSIjud+Q7EKetUpNQvCEp3U/O2UHjUfW2O0Tnf52O5nxRfIabKgT3VrCh/7dhmnjmJnNOK14A/flRtjSERkyusB2bFNLR98np5NVXEIWaJggpYJ13vOgcoRnSESMZov0AGU0z2opurzRGZvgkhSVs+ibgt6Kf3QlNqeQHEfNvW4U6ruRO8mcj2t73ftOaDUyCnfuOL5tH6c1OHWvEIxjtkJOqjIBCh6Hfi3nfkn3dQ6Zd8rHmjoOregUI42XnvOgaTCqjflyLHBftISqdB34veU7hJj873LM+cQzLl6Vil8ov3kbFPbeYv6+8Bu4fO9e/E+efP63dX7XyZEBCoQCAQCgUAgEAgEHoj4AyoQCAQCgUAgEAgEHoig8AUCz0HOIkeljnQaLk8DqVlQMdKQeAfu1MVFVZN6ey065t9lPlM82VriIDVtXt8wwEPk9YvFk+F3/ZbfVs59x7d+WzneKZVmg3D8HjSqg6qWkR5zDrqeUQjuQNtj8Uwh7Qhag6PimD8SGXhFTQk0Iuc5tKZS8p2zXW95wQjE+dr2QXAvaktkJVknkDCVFtqI4xkZTYjeUaBimGqXo6RA4creT66H88YyNaj6zgOe79X7pKNiHalb+txaR+zesfMoW3tOOVpegwrTUiHMoIv1oJLuzi81T+TdoR+1GHxrxor4dqKK3pLW4abSlGRzXQ6/4eu+TkREXldfExGRca6KfLc35u1VqS5bVaebxlr3t6BB3enYYt57KkTq+Q3KQbqcWexQd29APzIBtB700fOLOrYfDQtFcXxWr++YmtKH7p5VWuMu1+fP0zKfDTv43ykdcADVcAK1K+n1DlTHDvON0RWnXGlEU4bqp3kFQfHtuAfNSZXiNqAADvQisjmyobwnAk8m0oidaZLRU0FRbIjo8V9z+QmVPHe9cPzqazC2k5afNFrSyGwccDxxajCaGOlc/RGKaOr1NKJvTncL1ZO0vfFQj2edT0hRTxvUs47dtIGyHhT30rB8N3ooOPI4GRW0c52/lqlQLZuDvNRPak8Xlc6W123f1gmVMlATfZxw2KnH3A5TSL7Bt1Cpe/mq0niPe1K/9T6UmXS97tFSJ2cXnCTW+Zvwe8A0k46v5923VP26MEdk/iXw6tImZ+m95dQjGEFdffFtEREZ8R3fYLy/cfmGiIh8pJ/kH7z7aXmZERGoQCAQCAQCgUAgEHggIgIVCDwHec5y0I3jg0ae+g1uwMpOr6tlXP3cwWOl11WaIzbpdlNjM3hj8/9pNxDNG1Z/N1gZ+tAb7xMRkW/9pm8u5y6xKmhLdG5VEavLN/tl5exwbPs5bDa2QlajUhNW0466w3vP0EYrSsHVU11C5Cp9gg+Vra5O+ZSwhm02pks90urW4gJc1czmVO8qGgUoeg+MJuFyWeF8vkiE33RvUTdGulg+jVzM3GCMaIwajnClNHcQ4bDIBDx9+m4dwuldpA25by36Nk7mE4IRrXNVqwN1wiVjbZ+55XsmPtpWwXvX7cg6t83UrNObqxp5ObtYImAf/mD1hsq491CGUT231bF/dVOFG26wgdw2sjvvJmTZznI8b3GvRZsGzjuoB/MTG9CPOuTvTOejAT5K2xkCMCpuccSm9JvHdXk9abRw974aWd/aHAeRiBGRxFknzIQI1NwhGqUiEs67iWPLxga9pRKjURolR7TEiVRo/3JRJ0Y5NGzHUxMitalfj+dyxGemdXS0g4cZBSFSY46bMHb7WYU1GAhzI1LzhP7IsWPiBh0ioZsDI1AaJTnWyMi4X/rsDAYC/QVNaCjh+0bBiE69hNJZ7VsZkUbRCJSg7wnqRyzSSk9A+iNNFmFqR6BKRPtEENyi9I4Y0PLXgyCPjfd5ZENh7Nl4xPXDbZ1352cqsnRb6/QIn8RRxxv7W0aktH+vRu3IXEBHLTZPrqDIqljfRiRPv5sd+suIh472e84rdQw9+midA4eLpc3mp3WuJLPBhvn7znsZBv6y9PIhIlCBQCAQCAQCgUAg8EDEH1CBQCAQCAQCgUAg8EAEhS8QeA5yFjH22qQMBL/qUEPfG6U2bDak8G1Xx8cr0uEoBLDe0NoiQjnvEX3VeKy0gTNQYe6eLZviZ16HN4f57tB/Z/tK9a7alM3KpBggM0pvGbY1VH92WSmCj58tdIUJVBBnnaJlJsWuMCRAO5j5fjvoGvRHqaya7Hl1eH5N7fI2Sun+ZZdW2ZgLKkjXpPOt/YfyCTJm1l28zrtKQAUxHyjWA/1Gkvk4IX3wg8qG4Yn0GNCULCv0gXI5TatnfAXpKx3vskG1Ib2k0Gfa9BOj281TrYeW8gepTa125OZ9p4Fhm6nxPP2Zus0yJr7+6yp95QjKkzFIj8hfEWDBeMsc7lqpAzbHk653rvyXLSi1u4EUvuV4i+c3oGLa1LPFHHQJmtUmL8/vUj03TBBvuNNN6VcQwbjFBngtPz1kjNLVJVCDSdMygRGc6emHZpRb0O4yPZmsnVHmrROhWH4ebkBHgy9PqR/ulHe+OkoJTu2xUel6EHTQrCSk472E9D4KuZCiaGMDaU4juWXlxppPr5SjD4EWCLpe1j7Jc92BghFLXY23lU42FYof5g36PG1NJIJtD5EI9Xfq4PMkO9L5lJZI3zQqqJhIhBOfAQ35BRS+mszzRSbomViEOUBnS6BFWvMMjtaHRPUfI/MMimN/pgIr8Hrb4vh4WOaLEfTNA/JyUM+lA3yYNqxTzRa/jyOpnHadIhXaeTI+YCM6V/UcrODvNJfve11ERLrzSuM9wk9sr7deys59F19GRAQqEAgEAoFAIBAIBB6I+AMqEAgEAoFAIBAIBB6IoPAFAs9BliTTuKwzmB9UDzYaRWb6YU1Ho6/NYEpytPNwDL3lH12DhuRB7llDeQi0kM9/4U0REfnkX/uRcu6bPvKN5XijylnzVEPwt3eV1mF0jV0Peg4oHkZdSKDUvPbeN8rxF99ZqAfTvtJrwJCQXvM6JNJb9N2k5SVSAdYUPM/WW6uzka5gL3BMEZeWeqg4PhnoReaz4ShsyJ9mxinqFdWwtglYKoUFjYg+Vsny3HRnAs3oxHVj8CXX4QrMh2pqXy4JnPLWsrryXjprpTHSnE7YoeGVmuYJip/Iuh3dvQ2vHXfVuKj0xmJaSsf7yNd/qJzbbWun/PznPi8iIhgucm50OahybfGZPYwLJakHzecclKdL81SC8t4GNCej+21BHTvb8N5ez9VnLqBeNyiNjKOpJ31Jk92gzs6cr45RlqoC12Fe5obNCb8tG7snFSZtPFKBkRS7zpTE1rQ7EZFLUwtD5z0cHpfjThaqUUe6GTyjROunJ2WYapTFK2jd9x2NltQpU09FP8joXFYn/Yk6K2VBmplUVqN8jXXenqCUOildj9Tt8e7Z6jqVAwsVEx+gDAq6qSym81p3aVNpXEk9nRIoo4LjrG1Klbl5wHzRoE6niW1uCdXrE+rH5htH3W5Qdjney7eCtD3Q6br794m4+cTGw8TfpM+pAKnzJjzM6J2VjO9GujX63mZaJpcxM3/gBCebt5mnNWWZ3lpGKyVVcUb6VqeOSknPJ62VhHYcLirt36j1eeoLPfdlRUSgAoFAIBAIBAKBQOCBiAhUIPAc5DnL3nygdO9mj1XFPlPIYDm/oU8GVn7OzkyFAusWozOpERERmIqXaBRXcuhFU9blsGJ7h83I5gX05/63P1/OfQs8oT7xmz6hN9b093d1dVn0+R1EIrgSfNAV0A1W0V+FE/2r711WPa/v3lo9o6np/7libZe4Cl2fMF8YCi64YFJeR4i4uls3cK89h3y6LgFAV9Td+hP9nTQql9hO99MWYQymrhpiVXCuq8e9bqaecz3HVfxU8t/2tjJxCRc14qLq2oKlbCbWF2tG2hGukg6Oj/aM2xvfWCk9KSJh4gPrqNZyYTkeTxm/lJVU5phROV3xzu30j8dllf7V114v5165/Eg5PhuW9D//+bfrM4fl+Q0ilq9uH5Xjg27Un7Fy3mPsbjWkzXwwAmWeUDtEfM+xyr/VKPeAqNMOeemKJxL7Sc3LcKYRrss6nh+NNXIza2RkQoQsD0s9jaxblG/Qdu5PtFPKWubMaAN9oCySuY58i9SV8G4DsYtDDQveafR7M9dV8pRq+Xo9zu7XIfZti6Ct+3tihIkCLUUgpd475TrvmagL5/U+N+YQ+iCx/jQaNR+rMMR4U+ft/d0iHjQd6EG2Fi/qwJDojSEBz70eggVyvhx3Z/B+GiAYoX5fGWlOmC8sCkIfIzeHF10Nfgs4x67D4348608XgWk8Q/+/MjmRLcCoorYDv7lI04pyQNdh+Tbqc9Vv6w3TXW2HPLTi8BCFsffS/8/5H3b3nrgXwStsC/QjfSWZNB368bBf+tZ0wHea2VQRKicKAyrORrQfTAfp8nrMvEyICFQgEAgEAoFAIBAIPBDxB1QgEAgEAoFAIBAIPBBB4QsEnoNpmuXZ04UOsdENtVvQ7iZs7E1pCW1zA/iADd6XlwuFhH4mM6PkGibvns+SEq57GMOB9JKM/dEHpfO9/eRpOfc//Zk/U45/6cc/LiIi3/jRj9Z8IH93ujHZUQRArdsolYhUkD0oemfnC8Vjc16pHnegC8z7hUfAzcDGNuDG3X6z3oyanTiA42ndP/DiAeX8KYpeapzj+3UzNYQtXP0rxaJFH/Hn4BVUvHLoR3Jc3du5LLfSx3HjvGO4sXzTmuLnfaD0Nv+29ftbFD3ndQbaomXG+aq0aF7YdC7re9vvrNc70r0c1dLMuVjSBlUHY/yV1yqd7cPqD9Whbzx7d6GLnYG+eddVys44rH3X2OY2jjqMMXpCGV3vHF5upNeaKAFptpuR1DgtMwUN6NGmddnvappbilBonx/7ej3ruRlpTgJxg6zUOvjvsO92ST2LKOKALJmP19zqkCLFM2oYapqPHoFmfKNzGBNwg8P6gSMl4fq6H9YZ5ITqSoudSiqrFpB9l32zjA0mD6GfaVzKNO7pfVVpi1mpfRQkyJhDk/azAe1oPlwd6KHdGTyH9PvXQVgi4Xn7GM0D+dZoqM582ZAnjNfeqJgnfi1tUSg5Tgyz+5as5wNSnwuVkjRh0irnNRfTUfy0TF4gpL7SSjJg4u4gYJJ7G68oE4tZfKpI7aYKlb4f44UUSLs+QyzEhibZ5FvS/m+Xstw9q/TQPbzg0uUiHLKD3yMFVAat58PVHmZ/LyciAhUIBAKBQCAQCAQCD0T8ARUIBAKBQCAQCAQCD0RQ+AKB52CaZ3lys1AjzvfLcLk4wNviUNcgjIKQtqAsQepmd24UvxrCv5MaGi+sEfqdKB3QrXTQcsjeQxoTKUGa1gjK0D/6hz9djv/2j/6YiIh85Bu+oZzbbkAB0PfTR8LRTix98FOu72qZrvf6Xig7kSKSp+Vesg4Kne2EZ5GB3hWO+mbUOCe/1q2P6T2V59Uxrac6pwqm7UwKITlHSkmaQWNKqqiXQe0i/cdoF51rab5Tf6YTlAilkMxIc0yOM7SkiDrrUD9G9aEa4gQqS83XCT+U1UElvTjGCRWy9Gciha6pmkV6JBW2Jk3TcQBx3KJJNd4va8rL8t6lz14/qf15i757sVuoLB96X338crPMFfvLSvt79gTqaLfL+cMBqlpjvXc2qibG2/m20l/NM2q7qXMIFfdKTaIa+p4SYVY2Z3y2ut5tqBJIn6jlhn5LdTVTqcNc6NTRtHzwjpIMdTjt5+xvM8rfK82pxxziPeIa/kE43up8PIGGNJHGVcYz+juPlfpHZcBCM04jnoH6qrFT0TU7UBhtHEzwHMpQ2DSqq/Pngc+TUfemsdKsZvgD2SdmQJ3dgVo+K52vQ98qdLyBPk+g89kx0qQqZ1E3Zds1qGlUU5w572qZM5VIHXd8Tb0mha+lwjcxfTHlwzVNtyMFL6+Pux5UQ+SpeE9RjZEqf928ylOC8l6y9h1rnnqnQqjHNJzkHGoMP34/QcernoRQF7Xx7ERokT+l3fUHvOeq9q2bq+W7Np5DAfK8ji37rty++47MmNteRkQEKhAIBAKBQCAQCAQeiIhABQLPwZxFbnS1+NmV+sKc04MFUYIz3QQLI/a5h5fPbrl3c4ZVQQSgCugDpclv+hOCBY2VTC5AzXqeAZKrp1fl+JN/5UdEROQTn/jNtUyv1lXJM3VNP2DVz8VA9DT22UvCpnfbFD9zgzQ9rdQDZ8SqXV9WFU+IRJQccKc5l3obahxuA7JG1dymbfqRrKMx9PawxcrsfJ5YAXZMoQC91wkaYKVWvXpSx3JWmPAFV2d9mbQfuEgkI3D6nAur8fpakIEr7rOtimKV27eJPu+EPexZrjjLCr3bnM9Ip0YC+Ra0k63Oc5XebzNvlalR/+4FaxmNO0Qunr7zrByf7TR9bJQ+26qggdB7qW62PurQQjBBDnuIAxyXKA0DcRdn9fmz7XI8dOuI6PJgOVmvs83LOfwDfTv16zpx/VyvTxBs6DYWPW0rJpTIPN8vHO/ad7G0TyGCQY+dXgDmi7lEd+vlmR5ou+V4izzf3tZo2KTRgw0DdW7oLBd6jAcTvZmkrsK7Etpwo9cOIlAlSnDEvH2sc8h+Nr8wCs0wSr48x/ligPCHtckAcZ8BYiPz0IpALR8uztXiRCY2dlDT6ebGcXsOs1TTifHYEt1x/nylgfn94xy+fntPvzKd1zkv2vfReyuib+v3KTnWBzua9h1+ihh125jASq2n8cBvxfJgR38/esCpp6IT/+Ecq8Uf+f3HfFRqDIPHvmvzxHIyz0t/38JfbtrUfnK41b55W9957CBmIsvY2l89KfX7siIiUIFAIBAIBAKBQCDwQMQfUIFAIBAIBAKBQCDwQASFLxB4DnLOcrxbwuvP3l38oK7hg/HolQvcrOsRCJdPCN0npfvtLuvz15URVOgC3EC+UapFTwoZqWezbaSv6XBT/qyeTEdsCE3gGPz4T/xdERH5iR//u+Xc9/9z31/zr1yUERSDHuUrZDpQADbc7K1lorAF6XBZNyaTnmLZo8hBmhsbf0nlIA2pQVlyVA/b+MsbEmlMuikes6PzTCqUsTZVJWm+HQ2odR+TbJz9hVCvrCWSE95o0KhYTohMVIph2zsrzWuRCmnQb7zIg56jLwufLr4sa9ETYnJtT+EQyxMpKyyf/WyLUFgD+Xao/dw26B9HiKLcVu7d8WhiJGuvGdZjDxpVVjoZN7/3FE9QmhmFMUil2W7Vq0fWfWPJdOtkYyf/KREJayFSfkCDsuOOFLnSt0DFRN/tdCB1GFA9qGHmu8PuPPV4f2lIFIPzYRHJaPdNS6p/RGGOmv7+dmnnWZ7Up8fqqSSz0v1SpTGVzfuk7jpqmfnzQJQFQgOjzsfTAdQuUKoKbdLRuSkutNWfa8Gh5V6tc5zbgsJnldJDJEJUjMRZ93QUjLBjUm5Z/vV82JwP3Ll6b6qmhvWVZMtpvrITogENTZ93U4jTR1H6qX/p8iy9G/H4oGWltVWX13NsGkBxd+I9937eg1EM+zN4T7m5YWmz44G+amsBlB34p1uKxuT1l2ejH+uJoigHjCcbGxf13A6iKv3l8v4N+s72vL5zGpfxcr3vXL2+jIgIVCAQCAQCgUAgEAg8EBGBCgSehyySJxVSuFmWka6e1o3Dr75eV4bKSrFbtcMahV7ePaorN7tLbNItPynha/mANCs38tsqPjeBjowimGBCQ3JaRN58e1l1/eE//xfKuV/2K35FOb58dYmwbfp2mUZdDRuwarbZ1HeVFXOs0DGyY4obE5Y9J9047SS3+Yhlg+daQgAzn1pLcufOLSuujt1KIo4t4kHpV7+BvpHnco5tg9VpPe7lRZEBXm7cS2lyRhE6i1BRMhuPQxC/3rAWhGhu9BYEXhrBGC4JM3JRoixUlnARNG2HzBVdRrPWm8K7hkgH+75bsbZ8IM3jRFuB5fzleY08bCgaI+sVb+sTDJqNiP7qgrLkI1Z0sQM932qZZkYPKZ/d6FxEZ1E/5IkDpRkKXUcdGdnoXERZo0UNURtGlgdKYZcMICOU1LZ2chEmRDk6k2JGnqlzoMdeYKReL5LlPZQ7MB8VRfiRjYZ+MC7MgwlhdpuuJspfI0yddcV+xhw0TfX4oJEnJ77DCJ32s8xCs00s05Czl2FX09LzGWmmlqgOIoFZO7IbgZwjkwkC4RQjvjavnpwjLALFs6wzy9o6zeUGGxunIv92W9tqoYjS0EpCL/eMejkFFWMTUC6dIhTKhsAr+S0zEYUJAiEUb7Dy926uRp9RGXCKMZBlYE3a+VAb8r/84Pd7zkub79FfR1ivJO3nqat9oz+/rEnqrbOL9iPiu1/yf/laQnT45UREoAKBQCAQCAQCgUDggYg/oAKBQCAQCAQCgUDggXi542uBwJeMJGlW6oKG5q+fVSrI08eV6vHaIw1zI/SdQbvISgk6u6xUi80OoXUN0ztpAPO6QQifnk+V2cUN3BjWtvsVtAJSigx/88f+djn+1E/+o3L8nd/1y/U1laro6DV2DjymHUQ2dhdLWbco5x5UmUnpBDNoFfmo7u2kyNFXplD0SPWgyIZRikgzopGH+rqA0uL8TCwvjpW39jI6tfpk+SP9pNOpNjluFdK3OiXNpvGC3NEHijSn9W7l5Dyj7OqanuKeciZfa1qip+c8f4O49RMnDNGgkJFCl9KafpMpHEGaVqHqoG0ck0Wfd4VaU1mZ5rCt/XTQjd39tp3/ydq58U4yVxJ2wvdKr523oLuN8Iwy6ta8rnt33pkesfzW99eU1JNwzK71Rn5SdXotGD2Fso6zTAESplnEcegPB+qZPUNqVEMQgiIVzhOquVOf5V/6zyHDs4nzSWFeI9PURlBKUz+DYqeUrpF0MQrVTEv5etAfB4iB2Lw+3Z7o+0qtS+xIG7SD9pN5gAgEKHx27Ch8jaHvvPDsJ7tWPSx9z/mqNZhjJxh8AGl78+q8F4kAZbd4HvIc6q/yjBtvqjSzjrTLyjMu59zQMwofvx9453Rcvov0+5obFMKJz5COZz8dU3Gd/x6/R2ygaNEnG3v1eTev67e2hwfaxr5FZ7W/HCBwcphUVIVUSjcHqjAUaffwMzPhi83lK+4b/DIiIlCBQCAQCAQCgUAg8EDEH1CBQCAQCAQCgUAg8EAEhS8QeB6yyGxUIg2X39xVOtvbj6uR0/aN10Tknr9Cgz10dlZVvahmdVTFHUcRMLrbCUqPRdknvgg0r7RRzwey/kbSoJY1lLeevFvO/Z3/r3pC/bLv/LgmVJ+nYtGsXJ0RNCuqRZlqWQf6Seqp9KaPbCgjuFALnPcTFKxM4szRyZxSm71oTTvwx8xHg99yQvUrafsmz3fD46b+5uTZ9OeJZ0xJzCllraXUkvO7AtWj1ClpdehHz3+9lIY4wYKq4m+gpLL8xtly9BnNM+reecBoPyeFr3OKcEpzIo2nQedz9dCgB825TXvsk6n81ecH0G8Ho0ch/dykjiF/azFED7tOrxdQx3ql51BpLNMfqPCsmA3QJo1mRRqQY/sphZCUVyfhuW4z0shyofg1VMNI1+EcUXm+eA/yb/49ONUL29k6H8vEftIYr43p0nnFIS3z/pp79ENH89I6yVAlszpjO8ykeWkBQc+EeKqc6xw3p/ot2d9W3qD1456Kro5+qu2MfpQdpXfQc1B7dBw+TSevJwSn1sc5ZD7ey4X36pNWWk46UedFKmmS9tmgu5FynCoPuV53dD6lq3FsNSiGpIMXurejgFcYHW+CD+IMCvqs39KB33yUyWhupB16fquVqU0TtsOBCoz0UazmWOUcqen9mXmwQfHVfs+gT+Cupn+Wlr5JWt4Iv7IytTCfKFMa4CfWUv18iRARqEAgEAgEAoFAIBB4ICICFQg8BzmVPcRlU+Ueq0lPnlXH+gs93j56VM71UjdqztOygjdwUzdWhkZd2cputUo3sTJPDEys93xL7rHibue4ZxurXRaZenasYhh/5Uc+WY5/02/+jSIi8vUf/kB9HPmz1crjsS6vjliXGYrjPVeokH/z0aDPhpbWeblwhUtXhFveUEvx1nXm7iiLdowcrDdzd6m9UlpXzCncwSiIRUYar3eZYj2Oq+v04qnvRNsi0pgb0RDvl9IKiaxXpP1u5G51NDbTQVLceNwSjMDzk4kDMM+MLBQRCa5Io56t73vZlXpkz3VccV57gzEK7D+JFoGioALqXNvMrbtb32kP8boi74KTjMzoBu8TEajUEpFgk5TrjWek+mRxvDFy1DUiF+znuUSosGKv9ecjVVjx1vaZWm0jdXW861oDpgpznI4Ir8UHmNSsN3cCwQVGNqx/IBrEvNqYY/S0igq028ECwnls13NW/7sNvKXGXOdQ62UjovCM3Fs7ZlIL6G+kcxsjnewzpRt6E7PlthO+a62Iu/M0smZyU2VjEmDUCW02TesIlJOYsH7C4eKiZcvx4HykOA4sQsUyWQQKacr6W3TY4/sGT6figdbIp4jIUe894vmNEzdazweMFhWfJ9eOa2rAduAYrpctGkXhCmMOnNR30O/O5gwCV0e0k0amDoc6XpxwhqabN337I/ASISJQgUAgEAgEAoFAIPBAxB9QgUAgEAgEAoFAIPBABIUvEHgekkhnG7tLtL2uOxwgyPD06Y2IiLxx9ko51+W1z1Of4KFCOt3a1qZs8CbdzAkFaKbIyJm5sddoHW6kY5OtPk8qxt/71N8vx3/5k39FRER+/+/918u5/V2lI2Sl5nGDMi1UOhWH2MEDRdJ1PdTNuQmbcI320W1qPXWkv5SN9PAwcXS1470bpaooSKUgkt7BzdCVNkGqRH3/bHS6NavPnye7RBP1IhCVVlFpF6QJIU+2G9pR3JB+g2bUrdk17shRCBtUUXF32mbnxg5n/MMzdjp9I/O8PnY0I1L8lHJDkQdfz2n1jDj2qlGzOKB4qP8g9QztPCm9augrDbfrsJm8u9a3s8XB7y8AACAASURBVE1NQIQiBI2N8OwbbCd93lnJUMTC6owD3u3jL+oANc8NAZrs6FxrEQnOS/RyKYITDREJeh5NpD0aNau+xa/cGoXStU2DLkZxnZbaCTu8mw+Uqom29dQio8+izANHjFEQ8bh1Hdf3SEfTvG74HvQzFcXp4Ke1zXWO3B+WOfZIurSjddrYgD9f5iS/PO/s79iORg92nn4teu56vnBnnKCQ/mQ+G8ISbEcnKlPEmtbCE3rDKi0vGKEUPieysBZ8kJG0x/V4Jc14VrraeKz1POKbb2IrLMcASvCknoask9EJ4Wg6KOdAip/1s5aJl4js9Ps6wBvKtgowfz3GxqTHw7Y9B+RJ5xgIK2XQR2f9Fm0wXo/uU6sUvzSHiEQgEAgEAoFAIBAIBBbEH1CBQCAQCAQCgUAg8EAEhS8QeA5SSoWGZqFz+vuMYw2XP3t6JSIil5fvKeey432YJ1Iddv2WUjgtL57ZXVrOrdWUyJSYG8pQTrEOvjPGdhOcuxqrsuBf+qsLhe9Xfvd3lXPf8m3fUo4PSjWZ8M4JFAarq+3ZeTm32db0j/NCn5lI+9Bj0gqGXfXOsrpw3hqONrL2zsqOSrD23mgxDRIoP9kZAJnqGJUBnSnG6p2FmuUofJRTbBn8gAxZJOfaCllzg//pKX723nU5eK8nz6xrxYsqkSrausF8mED/oKqX1hOVtCZQbkw5ylEZG2w/qlbRzsveRAWrztHp9CeooCNoUNOo45Vj1Bk8KdXFKQ9a35I2Uvb33cdg9Jl6yvn7WDtRtdJ1tDWFj/fa815Vkop7dtyg7UmlgdF/qMh5YdyT5lzEJOmPk0iZGhvvIUVxqYze0VepNrn2tfGtpDQmyn/SIMiUB+EBxjqpKn71+Zo/joH183lsl9m6WbdjOZFpU++jAiPVKPW74+3r1qqdbIcJnaoTzWuDGuaE7Ugt07QcKc/5aSnFj7S5BvO8wcRbsiL2frSzy9+aes3LRsPuoV5Kym+ZIY9reqn7UKOdjjoHHUkfzes2mTBV7/eg+x2tb/Od9K6yMmEOBLXbjqiEeXZWqZ4bpblDhE9G98uApk/aX2/KgVCAHNdtxipxXw2t32Fbx8OA8TL2qk56czg9z70kiAhU4CuClNLvSCn9sZTS/5VSeppSyimlP3Xi3h/S68/77/+498zvf8H9/+4/nZIGAoFAIBAIBL6WEBGowFcK/7mI/HIRuRKRz4rIx55z7w+LyM+cuPaDIvKLROQvnbj+50Xk7zTO/9iDcvlC5LIcPOiGXyywyQyH8uNhuXD37No9Xq7rah033iasJtmiceeW+PScV4moyVv6XIlzIhTrtJLbra1RAlzfo4Cf/uLnRETkf/nLf7Gc+4Mf+QPluNe0rp48K+eOWNna62bpmzs62tdN+aNG9xg16y3CgxVjRqhmXX3NiNB0nMlsYzDrbMSqoa0KY9VwciIT1s4nNjObiAQ3YLtVU8sUVhp11S8zaoVt6V1ZXa0CHS6Ds65qwqsmY7Nwy//HbYovbc6IJ8RMdNUzu1X8dYSsP7mgmO/9rIfzjHxi9dU2gNNfhmIp1asGvig9V3I1QoVOzk3lU1nmr52D4gTpYGVGlid6Hi3Pee8reO1YZMKpidiPeXVueb/mHSnyH+Y9ll2kEreWZXQX3qyH81qsZHaRRhsbzB4FITZ6bv2MCAQVUM8lSuGiWozWLGn1rDuIH2SdQzNFEJwggokX4HkKsGgYnR5dFHcwP7WuQz9ENMam05ToE1XRm88UNvdbxD3PbCeMrWGr72Q5WM/67o6TUD0uQgj8VjTEB9gfGY0adY5j9NX1bR1HPbt20WRhxBJjL5vACP3r6nzVDUv9JjdXM0puQjVIk3Wm72KUenRCOyp+gGmdZIpe62fgJMW86vUEsY7j0SJMqEcMjoM+f8eIJ6PQVj+o/NlFc3Red1MpI1hlkkSW6/FZp99KhrhmMFgsAtbXZ3YIRxXvLEaEJ2t79Gf07RJ1wzuPKJN5xHUQjUloiFnbaTsnFwF8GRF/QAW+UvgPZfnD6adE5NeLyCdP3Zhz/mFZ/ohySCm9LiL/iSySQj904vEfzjmfuhYIBAKBQCAQCHxZEX9ABb4iyDmXP5i+BB7sD4rIuYj86ZzzW1+OfAUCgUAgEAgEAl8K4g+owFcz/i39+d8/557vTCn9IRE5E5GfE5FP5pw/+2XNhUbZbcMmaVjTsVIYjHrw7OqqnBv6M1xffjKqvdlUOkGXGgQfY2Y5YxhQMRoaE0Q5D0pP19zZuzojIiJ3d3ciIvI3/mZlRL7x3veX49/4G35ARERub+/KueubWid3Shs5Cul4buevZhQ+GdNaBKKn74xR6EAhcKwNo4iQFgFfF3tlPkEdm5Vv4TyH6PVTjKLwzo6UIX2e77Rj0PpI8xrExDTgMwQKn23M5jOkNbY6wOx2a5t4QcM/h2W6JyOBG0pOK6iQovRU7jxu8Euzo5bZAWmDrEelfrHvOvqMlYmn0GeUyjJQRMIJixid7QQNq3gicdM6+4F5IuG65b+RT2Y2sXM5movRnJ77uPhRCgpjGQikb67pft6eB2UqG8y75nXwvMoZozGPE8Zjz36u4xWb+3v0o3FSIRr61+D1pf3dvIX0TcPCiROsxzvr3I19rWD6//SufZRSDDqeUZcpcpBAie3SQr1Kc53fp1yvT7P1HdJP8crt8o9prHOAiaq48nWggOP6rLTGKdd5udtW6vSsG/3FeaxZnqSJWlZSOpkjE7pZj7HlvNU5KejreZW0wwHct17T3YDDt3EUx+WYFL8Z1G2jibMfbDbrdrzd78vxYb/0zfEAyinHi36LU+OTyuMZ7ZhBY7Y2y/SWwuOTUl1v0E5317Uf3p0vfeoMQjePLuvvHEnMZ7Hi0XYRdOK8NuH9NjRIr6RIhU2hTofFzUEmstTJS64hEX9ABb46kVL6XhH5uIh8itGsBv6De/+eUkp/UkT+UM74ejz/XX/rxKXn7dsKBAKBQCAQCHwN4iXf4hX4Zxj/tv78Eyeu/2MR+fdF5DtE5FJEPiwiv0sWMYp/R0T+h69w/gKBQCAQCAQCX4OICFTgqw4ppddk+WPopHhEzvmvichfw6kbEfkzKaW/ISI/LiK/J6X0X+Wcf/xF78s5f/eJfPwtyfJdWWlV57tluMygoI1HKM7dLeH+w5FKavQGMcpRXbfY7Xa4vqaGGUuK4XZSWSycTlZci93jlf3qC+Zi+iBN3Cmd4Q4UhE/+9b9ejl99ffG8+uhHv7mcuz1WKsn+2LEYy3Fa8wEcRc7Uzfo6Pc2NMjtvDUcpsiIxzbVKXr+hXwhoJ6MpJzW5U/C9weUOJez1uIdykvEioCpFFcFJ9noXnwGlSalxVMBq0rAcfYRqWXZX20OlnH2Byp6/nNZHpD7Z+9OJdii+akjRKRvaT7QzKY6FTca2p2eUqSUifSoTKtUkk6oyQIlNj+dEahm8jkyxLq1pi7lBw13etS4TUSiaa2G/5fl1lTq2YCoUwbVynkidOjpn9kMaVbkTb12vs7bGk6NuuTo3WiOpmDxWf6GJNKk6h05F7bBtTFOIzxyv7BOtyc1Vv6XP/NOTatDrG5xbrhcqnoh0TkVw6Tt5htIl7p1LBZE+CbVIpfzSDmskzas8RlVIzqs6TiacA8XSKGUZH4aut3euffyWF9j3i5UH1cvJ1BTb9NJu2FiiNX1Q7OxoQN+kopwpbPJ63/Blm0mrp1dgUfmT1TPMM58pKoJUaXXfmqX+u7FbPyMi2Sh6SNOp8Onx7FT41t8ifvOnVCmGx/3y3v22vv/uum4h6PW7dnFWf8/YXS7tQCo9y2z+iqOrO9Bbdd7sQBllO+y0nTa7rfNuexkREajAVyP+DRG5EJE/9wsVj8g5/6yImOb2r/tyZywQCAQCgUAg8LWNiEAFvhph4hH/3T/h82/qz8svPSu5rL6cl1WcujJzONRtVseDrvph2XDk5tESBqirMgOEEGzFfHbxGn2j26TaUnxI7eu2KudTWz9P7w6kdVAn9btDXdU7QijgR3/i/xURkfPXXy/nLi5eq+kXrx9uIOcK5zoKYcvgXAn1m9p1JbRjNIebcG3TOdPEG7rVQRV5EJE8qO/M7GutZk9X+btWmiJJV3XdRvriQUMvl7riPo13mmX6ljQ2FlNApNHmLpKHXeld6XpYEWbUrdHnWkFJRl9bbdJzRVojN6mVEJ5xwgyNFUvvR8VN97pZmRvhG4ET1zdcBGrQfNKzqK7U2op5hjqBa/NWwSwDbCdETuyR7MNG9biU5dRG/Ma7vamT/7nKX+MZF60pRlMn0reo3tprxtlAtdqRXjqMfFjnpMAI5phkHj3obhu0Y4kwuXpch+SdGIgThVEhAee9xb496DPD6lzfI8IEnyUbJ4wmUAOiCsBgjPaYF5Nu/mekjcFdq0vWE+q369f9qKPAi3nczZyLrR3b4c/ciNa0orsZnkpOEMJEWVAn0MAo45mRQApCFPGIE33Xopq3qGgnvKF9YnI+TcvzxyPmYjAoTByhc15rGC96PB7AJkBaeTTxnwoKLlgEqkM53O8Mmi7nOEbAbvdLmx9uKIACcSKt/9tt7aeHsyWCtYOA1TAgumrlQD2NKJP9znJxceFKVfKnz11ud94j7yVERKACX1VIKX2PLAa8n8o5/8g/YTLfoz9/+suSqUAgEAgEAoFAQBF/QAW+2mDiEc+TLpeU0vc3zqWU0n8qIt8rIm+JyP/+5c9eIBAIBAKBQOBrGUHhC3xFkFL6rSLyW/WfH9Kf35tS+iE9fivn/IfvPfOqiPxuWcQj/scXvOL/TCl9SkR+VBb/p9dE5PtE5JfKIijxe3POT7/UcmQRMREJs1rYndfQ9c1N3bB5pxSD+YSvTaFA4Nx2Cx8opXDMEA8o10hvmdb0n46UltSmnrlC3fsHn3A+GlqWwxEbV8eav8fPnoiIyBfe/mI5943nYE4qjWw4RYEoueBajlE96pmWuAApOznTP8l+tulWtSrXNB6RKi7gK6rhQUMRCWpMlI38eGIyKgbyOdd6HDPFIyx3TGDthdM3vIRYD449YXmieEBD78H114ZfWMdCNwxPZs+bXK44EYnV5dNG27bBmv48bKdC/wSlaODmf6sz0nhANck2XtvUraxlpTcUqY7lOutUTICEnReXjYpDipnzpprdbfdvrVzMdt8sybMdOtJz1hy/7DbI23Okz6IoplXSoLs5gRPMQcVbyhWZojCTK9r9e0vz8nn2U60gRyl1xnCloyFJCsjYT3rNkdZp9cdfl/rVOfe89S1QHYctn1dqNSm1NIIycYWpfh8yKHhGM/PfF1D4tH7zhHmlo4iF5oJedfr4eETfgbBF7tb16Ch0etijHBuKQBSKX01/izrZ6Ltm5HlwfXvWvJPajLGvhwPKOeFbal6FM4SfjC43kq52QD3P6/FKQYjaTidEIsozpP1hPtJ7M6iGuSFCQdqfG2eaf1JeKShlx+NtpeDfPLkREZHdptb92e4MxwuNeQta38B5UWn9h6vrcq4/W/tZTsf9PUGRlw/xB1TgK4XvFJHfd+/cL9L/REQ+LSJ/+N713yvLvqU//QDxiD8qIr9aRH5ARN6Q5beIz4jIfysi/3XOOeh7gUAgEAgEAoEvO+IPqMBXBDnnPyIif+QX+MwfF5E//sB7/+NfeK4CgUAgEAgEAoEvDfEHVCDwXORCnZjGJQx+fvZqufro4rwc394uNLfjkWpSjtu1nCNDAspLvXLnDlQpOm3M89Dsr+D8UhpsP+ZvVgrBeKxqgxP8Wkatk8/+3GfKuQ9+8OvK8bmq/5xBrUpmqBQejppNqlEZlaM+Mjnan1G3QLvIVDtUalWDpsN/0KtmIk1sY5SgiuzSb3n1OKKT5h/0msnantQjlKlkEHmmP082NUPSvdBPlH+THEWt5qj4Izl6yVrZaU3Ku/+vtYLiclwMy2qetEwDOKGsp9GooE7lDfVYmJRtbpepfU14ftOt25z59J5HpigHmpLjZeqxo3ZR2dDUIqlgqPUItT7HqJ0n3KVPuJ3IRhk6weEr9B3XodfP8wz9k6x87hFS20zNsd0TSp9z3X39TlI5O6tHVK1XMlsrlTmUC6RXktJr1LKWOimfB22Qao6FBo0MNryQvAqf0pScGVtDvY6MV9LNynDnGK/XdxcLjerM0f7qu27GG32oTaebzAcK3xen5GaTK7qGKSs6Cjh964o6as0TGHrFn4nU4rMdaGCWPqjL7GddUR5c0wKXMmnfJP3T+QNmfU99/wF9e1Ta491dncvNu5G0Qs7RNp9y3FNF1uqUc5Drhg2KHil+Rgfk9a7xLaGaHb8LxvZL+UQ/EKM9rpUL97eVlv9M6laErars7UDffPVRpeWbp9SRflv4/SDp70S7fiPNX0BeIoSIRCAQCAQCgUAgEAg8EBGBCgRegKSrOPv9suq32dQVqIuLuvly83QZTgf4SMyNjfhcDdpghXBoOLV/2fCCqJMHVod1Q+/h7qacm4639U71Mrq6elzO3VzX4/c8Wvyhdgws5FrmK41AcY3cohQdNoL7jcPq54EV485tYFffltRYpRZu+qcgAMqs76WHiTgvocYzXLQdbdWRj+tD9Irh9NuKtuR15KbjIrlbHV4Lj0jDz8VFYxqKDi6ShvrPZYWTCiNcUdfVYfjKmHgAQzDNPcUtZQmpK7EJ+fBRM10dPuETVYUMkE/ng2X9BO3gwkEaeWBkguICzWiMRlPYds7fx/rGqUGY7/28/4L79907bghyzA3BCVemRpAjn0q/eLA1sueiq1jRLwIkrPu1H5eLdHG+yiZGshaa8WhEgJbMLPk4aUim0WGvUtFIdx0ZkP5UmtrOrIeJAjI2NjCHIbJzfrZ8Vyi+s0U/ms2f7xYiEV5tZPn/3H6/RV1ZpRYFSZt1f13yrPMN+tg5IkzbMjmRQVHfvzGxDohMME8meDFjbExURGiIUIxH+C9p/un9NON4KPWHd5ZnUU8QcbCIsRPPIXPA6gz9tXdec0v+mSSFPXKDGTCBepGmRnTW+ZnpT7Q9y2wfJhfBMt+2RqRMROSoDJPjXKNKt1fPyvFrl0s06uK8eub1YBlcXi7nh93mtEDQS4KIQAUCgUAgEAgEAoHAAxF/QAUCgUAgEAgEAoHAAxEUvkDgeci5UAJubxYaWwKt4QIiEufqhXB3V0Pfs2O/rKkgHSl8xZfhFJVEn5HGZWea5PP/EJxaSTG2xDgixH+sdLFJNwQfx0rr++KbnyvH3/bRbxURkfMBVMe5ekZcHZd0b0dSTZb6JqXGM3rWG/VdCYzq4UqV10eOzgUxD6WYkDrmKtX2+ZN2MTnFi1Wmk1JRUq5Tbuc2qq/bPjX8k7oTDZVl7SNFgRLUpHtq/a71O0WkejnRM8lVea/v9LkSuSeW4TzS1u/hrvFUKHSse9Bb7JETVMtC0XSXKepSDIBq8k6HIK2uMzETSmg1yWnqSqOeXdfqylHrnc+lk50E6afaD52yBcpfjGvwfgodlHvX73eUVlJuZxMH4HtI6zThCoKCEetzszMxW370jTG6JGwUQvJfV9l3FMPZeXs1ylxoUBQfWM8B88g8YbzbeEHf2oDattvZRv46V3Ijv03MP/uzn69p4v2delexHYRCBiYIgeyZkI6by5j9bk0j3m1qns83awpfi07WY15lmSet5xHz5ogymWDR6CjyeXW831dxA36rjvocNJBKf3ZzsdNjWPI8kXbHOUzf2dEHqj5eqdd45gjPKaPyTs6H6ojrS1n4qSMTdVAqZgfBoulIiuCS7sBvgfVd9yngF0LFOEBXHg+1Tt9+d7HXvL5C33yl/h70vvcuddrnL1kC66seEYEKBAKBQCAQCAQCgQci/oAKBAKBQCAQCAQCgQciKHyBwPOQOpF+oZ8dNUxe/GtEZLMD7UIj2l0Pnwt6ASl9i3QB0ry2qrzUNeLeyXEBQT3T807sjzSqByr6tQk99V0HMMT2VCxS/6Fjvi7nnjyrFL5xWsL9r7/+gXJu11UqykHT/+I7Vblvr55Lk1PRgwJVoQyxoA3/HqfexluVSoJ2GEgdM4ogvJ+EClZKN3T0HcosFeYYaSGmKFdvozJSn9eUoNTBS8d8ngZShkBpmk1Rjip2LWob++NanY0KVeIohFrmjtfz6jo9ZIpAGd5Djxaj3MxS6SFOqS2Z/w7oXPP6nV3vJBBr+urPlFHpeYLn07jQnNIGynqOOWftTJ+oir5bfFRIJbWx6+iPVKczSg8U11g+a0dHvXJj2OQUT5Fj1hTAHm1qfZtqi9lR09SrB78aOH8kPc/r5qmU0V85dkxVrMtUMFz71ngqJurEKH6ZfaNBpzulwleKxjli7XXkaXstLySOLaunqkJHCmEhZHmeFPI/379TUgduWb/Qxfu+1uMONOj3v/8VERF5+rjOm+++W319iueTo2KufaCcRZmaOlE8lHf02o93mNd2A75fKrXqfAbhJVSoZRSEdXOYZQ50tLHODeN+qZ/9bT1Hb67tsKi/bY71+evHlU5/0Dn6QCqpzbugWmbkyb7P8wkfJzvuQZtL+D7med13N/xUlDJTPbTW71HH7ogPfD+tv3UnrLtktm+p1L7Vp+UXlZkCjnxePRszvBu7oVL0UqFa1meevVtf+oW7t0RE5PDaQca9700vGyICFQgEAoFAIBAIBAIPRESgAoEXwDbc7nUF7BYO3q+dvVqOh92yAtYPddWrG7FJ1jxW3HIPohC2QoqNtWVpiCtUXDYsO+lPrb5m9+MXDl2Bw2bcw6GW3zb2Sq6eEM+un5Tjd959U0REvuMbf3E5d4GV1IOu4Tx+Vp3Q745L+p3zz4FfSllxPpFjjTz1iCz0rk51RRzLdp3b+KzeVPN6s69ICWC5duD+cUuKzdB3a0EEFyhsrRhLa/W4fb0Vj6DVUFdCI+uoksiJgEZrFd/HVnBhLbiQGwImHaOKGrHosOLr/UosAtUQfkBaFCdgNKcIJkjd7NzPdVVVNCJyttngmXpsC70WyRIRmRBlsWhO7yI0GvVyFcq+25LOoJiJRT/lBNbt2E6rLULR9K5yaAg6pFY/4zkTpqhXHz+tc8B2u9T/o75GnhkdrZGnU33LzmCMNn2yTnlnacRZiLw+dGH4VjSMUfDluHOR8fXYPBVV67L1bYrXUPRlLRbCSOajV5YI1OuvvV7OPX7nC3i9RT7qKXom9RpdmBDZMCEDRmQ5hovYh/tmdTg2oRz2EkSTdMKkCIQ7Hpf8ca6lIMJhvxxfX1fBog6/wk4a2jnc1WcoyGARqGmgp5Os3imNCJLzOONx8a6CsBK+lfacY51wPJovG5kHOC6EA2Rvw7SKMEbb09CODqjHTucozrsJvz+M2cpUI33SmJfpZ3mDSOGTJ0v5t9dfkNtj/V3oZUREoAKBQCAQCAQCgUDggYg/oAKBQCAQCAQCgUDggQgKXyDwAhjdZFRBiKurSmG7fIUbmxeqygDvjiPZAvPaf4Gh834YLKFyzm6lJVHTn+cUUoPecso253nI9KnAxlyl281S6TnHuYbz31JaybCrLzrb1jy/JhciIvLqKxfl3LM73ZzPTdkU4xh0Iz4FE1hBStGgSITf1L/2rRmx6d2oLqTwdWi02jykw61pVAl0tUJSoneS202t1C/n2eO2eC//n+mBQtrGfC9HfCvLys5HqsdaZKJJknQUQBZmTTEsQghkY82NNElJIR2vUPhOvN+8bLr2ZywpRaXLlTLaz5Vq2iu1rx/qeGVas3I1xwFeMtihbWOPLK2yKR6eP04woWg8kEK2ptt5H6nnt4Mb0Hl9LmPsVsovHm9RgmXd90QgFOHobnl1brNBnfYmnoNN6aB+FV8d8s0a89rsaIOk37bWgdf92I0tXm1Q0zp44MxF/IL9TAUX5udPoKQh98L5aE0LHAYIImyWTftn27p5f4Ny9ipecX5e513OQfO0Hu8UR5iL/1C9Piq1q4fwg6fHmp8WaYUUtTF6KL9foOPNa08l+jSZf9MIxaIN2mHQ/jNBJGICdW5/c9Q88TrLr6Iw1MGxuZrtiPFYzlPYAoISRtdLoLtNVGdotIMTZSnUbYhU4LjX9hlAixw4b+v5Efk74rtw0OOj8+PSOiN9E++c9XjEuf2xlu+gIlocT7doh2f7ay3SJE/3N/IyIyJQgUAgEAgEAoFAIPBAxB9QgUAgEAgEAoFAIPBABIUvEHgukswWPlfq19VNpfBdPKvHh735RNWnST2biidEm6rSmTpQg5X3IlGuk+f+idX3TmeAFIvDfqHzHRDC30Hp7LNf+FkREXn3cVWIev3rKu3k4uyRiIi85/VH5dxbTxdFvmkCfQRUGKMEbaCm1A9rX5vJ+YnUPJsHSj5BhyueTo4uRhUlo8uRmkXah55qKLaRtkc1xkKHII2Jvjqp0ZDdmk7n7HEyKXxWvqlxTop5iMsf31kO8c6u1dFIC1yr5Lk6tXFF+kpq39s61VTpc7TKpZ9spdJDt12lRA1Kk9puLnGutvOkHjy39FFyVB2j5K5d1FJHtT/Ws6noUclrWl92nj3rtnf0Sed/tKbsZndvvndVmnQ+ighm1yTaj52QmflA1VTPL2qdFnU5tK1nTJlaIt7DHJvqZl5Tl3xe8JRj1qk/EWm4L5w46dXXovBZWaC4xqd1jurxzIa+Opo+Vfg2UIPM+txx4hgE5dhUz9C1WKb5aJMQvadAiVbVtkz6a2fXoNgGqqUN9+lY63F/B08mvXVD7yf0XaNGH/j9gErenVK3D3fwLJrhObVdqLg9aH03+6rIZyqC7FuOoqjjLA8YmwY+hDzPmmd+s3v2Q/vp5jBc1/qfQetzgrn2OwHeT7r4RgffyHpGk41avj2UcQ/o/FdaP0+un5Vz14fFm/HuUOl1+2N9fq8U/APmOh5bl+0wVx7xzr12yuN4KGm9rIgIVCAQCAQCgUAgEAg8EBGBCgReXQCP0gAAIABJREFUCF1n0KWfm5u6mvTuu/Av2i+rOFfXdTWHTuu5eIdwk21drbIVSHqHzPd84U+CK/fOKMquI9LlLjw/RFXED7ASOh6wMqXeHNl5pFRc3SyrXX/vH/xEOfeRD3yoHG+HJTrwOkQkLs+Xlca7O24ar1NVp/WUKByBncG2mEcRCDrJ10caG6Clikxwc7oLQJU2waohVnLNcylxt7Ie+2gFN+fbu/GIa0bdwO3URIbVdWlGjfBeRhM6tr1G1diNXFJrX5verU6ryAXt6W2pFSEM5t+EAGZEGqnIYKu6GRGgnhGs0jnZDyDKkpd+spMqIrEdagTKIlNn57XvcUH+MCxlnmZGI+rq9fGgEWdsajfhEvaniVE/LRPr2SnElMdO9JOiy3Fq7bOoVCBJ+PpYWoxqMZJpx/SIcXVuHjDIcrG2Wt8nUiPB7Jp9zwidrtK7SB3GvqbFSBwjcFnHQW5EBkQwh81rcR4R9mnMu87Hq+VTZZFGCk+gzrTPdycitkUAxQlL1OsHjRAdb2vfH8hsOCwluLuGzw6qL08W2UAEitHVwqqoz/Tm74N6GEe2yXLz8VCvX1/BZ0kFFc62dbwxonzUcXJzQ9ZGfd769pCq0Mstynd3tXxrXewQbXo8mjAGKwKHOgcOG4zN43pe7p3noqblvJ8QbTI2g7Mgw/N5Pd4Y+bc+2bOfUDBCx+48o573tU6OGtm6y/Xcm88el+PPvPl5ERF5fI3fU/ql/o9Sv+Mj8jTm5V0zByzmxWQiTuhPjFKPWidjN8qcGr+LvESICFQgEAgEAoFAIBAIPBDxB1QgEAgEAoFAIBAIPBBB4QsEnotUNvoa3e72tobT51w3Yo4qVDBOoHXQiyitqSCknRShhCbF7/l+T7N8hUPl3GOLfaEHpZJMpMegzEZr/NRP/WQ5992/5OPl+Bs/8B4REbnY1Kno/GyhcCRQBTtQfqye6AEycnO/en+M8ADxFjO6KR10M0/5Uaql80DBvdpmzofK+SOZt4esQdpcY6M7kRtCAdlvr18dsz+RHmq0HHpf0W8kmWBFi0223KD5B50ttShR5Aj2q6vZiTxYmvTLanlL4TqpJMnEB9oUvk7pdl2qfWfoKz1oUN82UtQohGB0w35b37+ZkIGp8OlQvgaFDhTFOa3XLFMCN8uoNKxn0smMTey4lqfkF+yl5J9qvtgP3eBQcQMyRVHpVUyFNzTywTrV4k0uzbVAS3aiJ2u6Hp9hP5p1vDr6q+u9WibSZ1Fmo1n37Ifk7Op7KehglNWetD20WTevBU5IQTRq9kxhCAoN2NR2BP1zD6+6K93of0uBE9SpvmuAuM6BghR9XuXJ2s9Rhzld6YX9BArZWNPfjMs4myenMFLvVXGI/W0t0537li43X24h6oJ2ur690vy1PZuMPjyhzgaIDw3aPhOEK4zazeEw4vnZxIdIDx1JyV1To903XytgxrdoRP4HfXAD0ZkReTE6Ir25rq6eluNDt/SDzz/9Yjn3j77wmXL89t1SZyP6wV7Fcca+vT2g9M1T00pvFHd2DtDhjXLd5Rf92vLPPCICFQgEAoFAIBAIBAIPRPwBFQgEAoFAIBAIBAIPRFD4AoHnISN6rxST45GUlxoGN8+LnKFOQ8pSw9fGWUIZRaUZ9nYyP+Xon5bGjVOwQvn3d+rtgXOk802aw3cev1PO/eQ/+Hvl+KMf+HYRERn6bTlX1N0cnQxpKh0iT6A+jZXCZyp6rLLkFLK0HCxfXrcTyywNBS2nTkYa1vwL5y3kBsWuxQDMjibVuMOxKuhR06IIkia19gdinffJaI2k8K3pP66ezCeJqlbMkVKmOiq+Dcynji1nRARapubPU2ZA2VGK3oDPnKP0iFL8cG7ukb6qTFExLrP4x3X+5uLvw5KSKmnn4YVD3x1jf57wirN2PO2Xle79FEfhq4J5bY8xqwvSuOhpZWqYjanMt5Os25RtQxnCmuYpRVCjlp3gFJlKH+lyjfrPGVRE1q9mi/20LVJImlLWRx8+1kmpNfqn86Ij9ftOaeOgkwkU64yGdsQ5L41oaa7V1RYofXVDlTzzSWKStcwH9RrKUN8ccPM8G4WuquzRh2lWOtp4qPk84Hi/X+bw7qz2t01jbO9BwXOKtvYqMvyoAqf3unlRH6Jq5gyKXqH7ZZaDdG6lcu7g8QV11PIpIu+dyrza50jx6xyVdTm+g4/hAb9zPN4vinuffrvS9r54W+l8txst3w4KjF1rnKF8zQ8Pxq5yDGfko+twrOe71AnJyS8jIgIVCAQCgUAgEAgEAg9ERKACgRegrGwmEy/AatGYV/cltyqGey2ygWULbiK21V+3yt+wbfmnC13lxwoUbTb2ujGYjvJuY7KuVlLQ4ac//TPl+KCRo92ubhzebmw1r65kjtM60kfvpz6vK4gbwenRYquG9JKhO3zxpcGpnvda5MQJQqyFQfzadCsCxONWBGotGOGEJXJeXWdHcf20XwtfyIkF/XoKK+LWNxOjGYisrB+vQgjYHO9ayerRtROjCCaqwggO28w26tfPWI/jjQpGdIw8IApiPiYdNmgLIlDZ6qyHFw8DHyp20vWMImh/px0WxE7ujkt/n1ATzj/IBBPYD5yvjL9P5H4/WQtrZIpA4KlyzgVaNQLlAlwUobD8EZYphozpI7XO59yKEmDlPvXrVXofVaIYiT3XniRLZCkjkojRXaJRbWss6Xur07WoC4NqnCNs3mM0gZH7vB6uTUyc9440gsp6HZETBi01f0cKJqBOLd08Iqq1DtwX3zIRkVGjXfTX28FDbdhYtAT+QhRcmKwc9GmqFW2RqSeH63LutR3S13HK78uYGflYR8EZ2bFoH6Nqs55j3faun1qmWY61oJDkyqCgt1en1ym2wclho9FtX09oU33X9aF+C5/eVU+nT7/1syIi8vbtWzX5bW3T46BlpsCJdQPOUYJjG++OzbBmG7hAFqcIfWcn9yPxLx8iAhUIBAKBQCAQCAQCD0T8ARUIBAKBQCAQCAQCD0RQ+AKB5yFJZYvMz6GvSGUOkMlCCkb1EgI1CvQa8yHZQFDhILfLfQy3YxNqjayDdgDKUwtOeKJv8DYcr8TobKSKwNNiv/hgTftnuF69dmRzLiIie6zV3G7P6rFW1s7ViW7EP4CeQS8dzV+35aZ0UMuMQtf0KRKxuuoHUqdAJTmuNw5vQR3rk3mokIri1EDsztX7Z3qxIH3zcGHdTqQZGXcMM7bzEFNOVO4qFWWW6teS+4Ner/SOBA5G9bMBRQ6eSV23tNmE9DP6dq/9g/RUZcDJCErNBMGGpP5M9HrpSL8xOplU6pUTJ9CN8Fs5L+cGqWNnOy153sjaQ0wLaJmvZepYp0tehrlW+kixEX1wcLQ/SxICHBP74dqjbCaFUb2rZvQtUiVtHE4zaUQCmMAJxkvPOcjKssM5UNuyzXHc/o1N+0pnnNAO5vtDMY48nRp76zwb9Yr01ATvrpZ/XseBYPMyaYPsx2KU3Toe3NjIB70Oahr68aCvGjakMS95GXv0F7zfaFA9fMMoLiA6nx3uQH2mV9BmyV+P+YBpTeq5NFGwAOIIRu1jP5o38JHSMedFYZRGPK9pbyIicjThikon24G6Nlws4/AAb6c9BVI0/fEIajE6x3BUijxohXu0k/mycYxOEFewT1mPRMcjvAS1ThK+JYUKCVrdRDETo/hNpKhjPOm3aLuv9bChfstBvzW38MuChsVW+88RdPSrET5b83L8+FhFmH7qnX9cjj+7/5yIiFyf1TY5oB9L+WyQa6rl29DcsR6unexEOsz1JXmywTkHrj8lLy2+BooYCAQCgUAgEAgEAl8eRAQqEHguctlwnBoiEFy6MXGBnhugcafJ9J7aWGnp26ble9k4gS/R6vsFezxnkxBu6haLjLrCeMQmV6pMpIak+Hd863eU4/PzRTzCScNbhIjrOxREsHpyUs6Ujl0XKrnlsvU5StdaEKRDOzonehOhOFH1ZV+xW8g0uVys5CHS15mIBFZXWeeWl37AKj/FGTRPTv66IVbCDdg9d8p3FnlghGgtHnBKeaJIivOcpTlReAJjw66vlYb1eW1TXkeb9BpFcVGnXKObSVfsnXozoiSl/3TrPIvUVWfK8idGjHuTQa/JW9QwTYwa1Wd2Z0v++iNkhSnHr++kVPREmfeyaZ7S6RSZMBl1ip5Q+t02iFNYAseptabKOU5/0qqh9B08i3q09s0nZM7bfQvQPPUUw6DWdhEbYSgREUBdMu9TjUZMeV3ODvMG++F2u7yLVgsbi642BEBEapSj31DgBJHUo17HeGM0pVMBncz2QJ3Pmn/2oyfI/2wRDXcO87Km5aKXJkOOCNQMFsCo+RsPEIno6/G8MfEA9EekNRkzAHNQdhH5tbLGEREkk0w/xQCZdA5nvHpYK7vfq5PZCods1DwPNjdw2kaes76TEaSEKP2oka3jHuVgSFbn8GmuUaf9obI53j48ERGRT79VZcp/7unn6r1n+q7aNf3IUguCTao3lMOhLeZhkdTZCZhQKMcO2t8am6NT+d/Li4hABQKBQCAQCAQCgcADEX9ABQKBQCAQCAQCgcADERS+QOA5yLnSEAqFz1HEQPvQ5QhuNibfzzyhSBEg5arv15uxK8cCdLOTgg9fJuR13J37bmdeVorC3TNs9j1gw6wKPXzrR7+5nPuuj31nOS4bekGpOVOa04B66MDzSir+kEGbcIIMpZ3WFDMHijBQDETf2/P99Bvp7JkT7u2aF1JyZqNm5bbAR6HrNWh7IrUuKLKQ0RBFnoSbgZ2XjtIq6AeCvmnJ9rieHBnGzpGrsaZhORqTmI8SqEfO88n6e0N5QurqXub+Z+Rvo/SUbgRNKjHPRrkF7Y98u27dJ0hxtPo1Gsz9slhd0hfHqC5Hbromf9U8VJw307rNs+tbtR8djO7H9OlBNlv+WDa20/q686IrfmMAxVisH4EyW/skhVww9srzbbpbax2Xc6RRy+gDRfGDblBO0oj3I89b5UztUp2jxmO9flAaVY95vXe/GS3Pk5rdDxtN84SwhZZ/AHVK8E5rJjByBWw16bUfzhzQTrhD+9E5ngFVcxr3mn7tu6QpF6qw84rT8YK2o7BFoWMjS/u7St0ehqV+Occk9C3zpetOfb/0uGc70y9M+3xy4jkcr2saM33lJp17RwhC2FzN+d3Vifo3DaSYz+t2IFXxKKCKalojKHq3EOEwdvMe9NLPP6kUvX/4ePF5evfucX3mHPm7XFO7Oba22k83HSnuo/7kvFGLJ8UnsYK+ban1DXNsb/qmvdwcvohABQKBQCAQCAQCgcADEX9ABQKBQCAQCAQCgcADERS+QOAFKHSahs8TI9RGK9ntKm1iA6+iw34J408HKrqRlmJqU+TLlUzg3JrWMVMpq12IZp5Lkm1WIq6vKWwiUtSJjteVZjQc67Ty/sv3iYjIr//Vv66c+8Crb9THlQ7RgxK0MXUzVxAoSGkDUCWIXjmpGHKRMlRhVZ4cfZK+MfYMPFiojKj1P470Blkf0ztkVupV15FeAopdWp/rQAU1zyp6kDgfKCtTzaVrU1OMIy2xh3eHKZB1jmZF9Tw716KD8Q72bc1rblPoelU1c2Qz1/WNCtKmoxllKmWmCcqS1s92u8V15Nn8xBzllrRI8ycipaneasqRe/SDg3rlsD8O6DvmYcZqNDqYSKXckCdFlb6k6Y+gdlFRbir+SziHtIyWmEFDalEx3SQA+o8U/6B6rtJ/TvgwNXye3PtNwRFjkGqApZuTRgT6pc0dHRTvtn3ltr3ntaX9H22r99XTZ2+X43cfX4mIyDRCXW5fyz9om5AmdaZpbTboW/R9U6U2KvcleGNN2nfoE7jfw8dJ6bPzXYN2JyJHnYN2UCO8uKzvevrkqWYKYwNSbVnMcwkUO/UP5Hjj8aBtQg8w0pQPd8v3bXdW636DAT1r/dIvi9Oq0TYd/ZUUQq1/11tBNzQvp+Oh1iMJvUYBnDO8obT4PRUKobI3ZKsnpoNE9Z3z8bacOtzU46PW6S18EjN8np4+W6h5P//sC+XcF/ZPyvFVr/e+Ul/ZX2KO26w/1h39A5USnRPo5LPVA5T1GvaE/Na4ey3tU+GXMrZneaHM7z/jiAhUIBAIBAKBQCAQCDwQEYEKBJ6H5Dehi3hxAr/irquOA31V4Dlhvj30vmjsx/QiEvosn/FxhvXzM1ZCW8u3vNc29efGEhTf4kIDiFyoCMR8Uwty3l2W4+//Vd8vIiIf++h3rJ5ZcjXcT7J4SznHd7cib6v8a+EIkRqNYQRowhLbZqMryvSqcYITPh0RkZk+IRphog/ThCiErWRnGBCltN6YyxdkXVHvt3V1sUdkxJ6fG5umRUTS1Egf62O97orfbRhVwq51bfO5EdUSwaZ9iEDQdmdjb2Y/Nd8zRmmxO783EQj6MOHe6gOGctC/R/s5+3vHCJS2T8bKf9rQq0g3kDPa4YQKlufow3SEH4pFm/bwyrHIAHUxsHhd+jm9chj9HKrRUn0GeeotKjfg+ZmRHR1PmFcOEKGYrB+6MleYAECiMEUrZJ0Y9bOIMC5zPJnYhpvrGpFM57e1fqc7wwlDI6lbRKBef/21cvyh9z4SEZEz5DlPNUrw7NmSlxERoMMdx9aNiIg82r1azm12y7suhhrVGhBFzxvzv4PIBCOdu+Wdhz3nCMyLNh457yEKsLUoOBpvt6WIhQoqYDx26DPTZGMTtTquBUTyiLlex96AerQxIFK9AHc7+LKhbx9MGAPz8kDfOfOJQtRpQmS/0zJ3CFt1bj7UYoz0YSJzwR5CVE/roXcfIJR5XtejixTqt2rAuRnRnqd5iW4+PTwt5x7fvVuOf/bJz4uIyLMd6vGNOocNVn8JkcpEtZHlfHZCNfVw0nszJ2vTAqH4zbT+rjjLQtSz1eOp2FLxSZTO+4y9hIgIVCAQCAQCgUAgEAg8EPEHVCAQCAQCgUAgEAg8EEHhCwSehyygYehm6BeEpUnFID2pM4oHqF2kTBltgx4nJV5O8QHHsGusgZB6VfJOeggzm1fPtNIio6bjJmCl3bwy1F2uP/C9P1COf9Uv+x4REdl0leqSR25wX15wPFbaw82z6yWf3DxPCqLX9LBM1TQnozVQWAMb+TVdCgqwzayCZtI6kBfbpMvrFLQw6pgToTBmFrUoGt5TA2g4pIJmJYLNR4pV4P3lmL4uFFxYaCH0aCFlykQkphn0EKCIM0B4Qhp+LNkJS6ypoAmfHKPzUfiBG6DtqAMFr3c+WUoBnEB5QfpWl72jMq6POUZHDA5r8iN4Ugf4wVhTzKCkdsnqmfxPctfM54ltD9EZpRiOoIeSPmS+PqmrNCl0CZlNVIaTlDNum5iNJS1pgLTKxq8JPYUlNLGGtoy77vyqKBihfSY7sQvBcV6fdGN7qavdtqb/6qM635xfLHW1yfXcK69XOt4r18vctd9f1/zfYT66XSh821y9eLbTkuZ5qoIJ/Rm9vbROBlJmOQcpdczRN+vzlXKMb4WrVaNNUqgGdLVs10HNIifX6LVOnGj5QUornze6nKPwjdXTaJTl+HAHGjIEUozD6fyo3HfFfuKbSDqf5QVURCcElLO/T7yPVdfgnplghPebqv8Y90s/GDHXHiA2Ysd9rsIQb8Oz6fO3b4mIyFW6KefuOohMvKYUu1fqeN739KnSfoS+T0EHE+pxIkcd+5z5ia2pjiimK1/W+Y6/J3Bst35VaPks5nk9/79siAhUIBAIBAKBQCAQCDwQ8QdUIBAIBAKBQCAQCDwQQeELBJ6LVH1sCgUAVBSE06dxOb+/g3IQQuujqvtQEW4gxU/fs4WK0aA+UvOhwbUQUBwYbp9Io9L7XDR9TZO6565Rj/TQpQhZsUfbCxER+Td/9w+Wc5/49Z8ox2ebsyV7oFWQiGKsk9vrSgV5/HihQByPlSrh8p/utYfcU6QT8zQ6oeplKkNI0lEUjBbiuJqkWi6ZpgcK6YamzpcSeSFK3crttxqFrx9IcavXjfUyZ1Ja6JeiVA4UM3Vruhz9d1g/RhGk38kG9KNCK0U9kupC96x6g6rkkXbXkeakFLuu0nyobGjPO78R5L/X5zepPk+62Xa3ULZYJ/2GHimqZAalrxEqe6OO58OelCKWr9P8gYJobZ44RtFOvXlbcYxR2dDoblSgbNDdqD7meu/A1yzp46ql2jmVOyqFGo8Kbc9xZFMgFfN6qwfkc+J48RTo+2Wq1Ghcn+9f9YqmKVHbUGlOPbzodqDcbszfqM6rF48qhe+19yxedVdXVSntdn9Vk9eknr1ZvXwmvXys05Z84P0fKMfbjdIFyYNK6/Jv4BMloACax1gCPVQqS0xmU5LLVNKshxtVBxyPVDxln9EK7tcUcnHfpJqmKWyybUiptfnI/A5FBDWOvkOVPORpk4yuRhm59Xw3j/WdW6qKlqHXfj5rBjoqic559QyPRx0xh6nW891cG/1qWmifP3/1s+XcF66/WJ8/W97//m94bzk3YGzdXS3p3rEdoY46ZaO3VvB3ivIrPNV+8YU1FUenaGtpUriPjN/VQfXEI/w3sx6/SKXvZUJEoAKBQCAQCAQCgUDggYgIVCDwQug6g0UR3IotBBF0kecOESi/MVo3Z2JT+oAljJaP1PZst0pngu/MaK7iU3vFu2wmP7EcVBYbW0u+ImUVioGTHvGoX/s93ysiIv/CP/8v1Tzv6sZq2zg9IbQxYLXMXOMfP67u68+ePtO8Y9M1V0+LlxAjgfSE0lU3FMMrZyzounWkTaQ6zdODhZFGW0Flmfh+24TddVwxX372CKcktPNwtqzVDhtEY1hmjV7S42RGtMRWbRm1ShSRSBYBq+Wkl4/5mWQIhDAvJl4wMfyY1lESl3w1XlnlQ6SKeFDMY8Lqt+lVbLBKvkH+uv3y3HZ3Vs7tUj3uJ6tfCnzQY2ZZ6d2PdcV8Qt+ei78UvKsoPKLpdoxCl/pZC0eIiNzcLqGLy0cXSBNiIdqnOIbpnVWkQtxG+XVkg5u6Z7dDPtuN9Rn2/RI9ZYSJ/kL2OAVSrE4oUMIogAqMnBSm0AgURU04dsQiB+3Iw5lGbrY7bpSvm/ZF+wTH26av/eT1N94QEZHbZ3UOeusW3llHZQ5gb//duAgBvDm/WfOca57e0KjWAG8qRujYjwpGzuHqC4d6mhFhs6jp6J6pSVmkl14/nM9KaImRzGxzTH1mYN8b19+avuN4WfJ3PNQICstpkRdUoxwOCOHpHLNBO/f4BoxFqIZsA9RvbpSJUXJNl1Z1nUX6MJdOUGU5aIjxDnPEk5saqfzMW4uP0z/efK4m+p7azm98aPEje/XrX6/X76qIxDtXy3P9vtbZxRbzoc/6kmfMJ7n8bAuwmEgTWS+FzoCp3ImF5HW0yc3hTV84HpqI08uPiEAFAoFAIBAIBAKBwAMRf0AFAoFAIBAIBAKBwAMRFL5A4LnIZQOmMUwYwCYNzLyEjsc2Zag8A87MRB8LSxnLGsOuX53r4MVjtIzZ0QrxMg3TO+8oUH46WadPSk9ledX0P/Th95fj3/O7f7uIiHzdBytFYQbdwehFHagc3Cx+p1SUN5++W85dH5Qi11ffllkcz2jJGzbbduAjGJ2BlB3SGjrduD3AS2dwSgVHLQeEL0CFOepxBoVvAo2rFBX+PpPRCkFjOjur5dsqbQPsDTkcaj2m/UIlSUfULTYeG9ts3tQ0dwI6m4kLgA43Tdy4vOR/C07pBpuVh842W8OrxpE0jDZJypK1UwUpPxtt00tsNe9A7xy2SulB5yVtcdJ3XpxXOtymq8fHG6XiQFQlY1P+qMd5gkeZo7Ytedn0oMySmpdNnABjWLMKZq/0EAro1bNqu6ltQ7GPo1FucK6nlY7Si0bSW0Edy7PdjHdKpUnlZG3OCQF0ua7ciMsQI9H5YgblN/cNSg8oePPeqFf0Nat1Lkq1HDCv7QZQipIJLtRy7kAv3SpNrgcN6fC0Uviutc+9/vqj+gz8ifqLhWY1fvDry7n9daVxvXv79pJNR+1S/59DLfvn91U8wCyl3vgAhCXOQM9VWmBPTyPSW3VeXLttLThqXqabWs7pBvOFUqPTAXQ3jN3No+V4cvTPtTjODv59vdLA6Mvm5/Ll5wHUXlL0dkq15Rinr91WS0hhigPmuKyU2/kIn6a8pnpSVAXFl0Hpv2ecD2yKgLfTEeW/yUv+v6B+TiIin31W2/nxZqHkDu/FXFsZ7HL26tLm/WUt0zWEcq5VDGQaSH/FeDOBHOcfiGP9FpHitwGVdqs3k+ppxXNUxhYtjxR3erjpT2cr1tgBkNe/+rx0iAhU4MuOlNJ7U0p/MKX0v6aUfiqldJtSepJS+usppT+QnGupe+7XppT+YkrpnZTSTUrpJ1JKfyil1CCMl2f+5ZTSj2j6Vyml/yel9Pu+cqULBAKBQCAQCHwtIyJQga8EfqeI/HER+ZyIfFJEPiMiHxSR3yYif1JE/sWU0u/MuS4fpZR+i4j8WVnEWv9nEXlHRP4VEflvROT7NE2HlNK/JyJ/TETeFpE/JYv+5+8QkR9KKX085/yHv1IFDAQCgUAgEAh8bSL+gAp8JfApEflXReQvZMiTpZT+MxH5myLy22X5Y+rP6vlXReRPyMIj+g055x/T8/+FiPxVEfkdKaV/Lef8p5HWN4nIH5XlD61fmXP+GT3/X4rIj4rIf5RS+rM55//7SytKgiJVCV4/94lT/grlHOLtcys0DxpV8Vihig54XhsNzqU9qE30YKEYmGLtwCKSwDnKso6996Dp/Jrv/lXl+Jd8+8eWg7FSMRLobKbuk2eoMaH8N0o7eXYFjxXlIE6kejg+gFLDQBXpnDqcvpOePZjqTA2K/jv0kcqmNoUyTZDgKp5PUHiiR01pc6dkpu2Etu23oBBqXuiXJaCrFe8UCqqhTxhFsnM+UqCBJfNkoh8XfbSUogdKEdUge6OYgAq+1R85AAAgAElEQVTi1K6qnKPcR8IgoB+JKam9enlZ84x23iqN63wHKuShtsPbxyeazw7P1HsPN4dVjqjaZWqSE/rRQK6r0h2PVEOc/n/23jxOk6wu831+8W651trV1fQCzY4IiqKiIMgyuKGIiuKMIIg66iiKIw4zjo44izJXHBXxiorSjnhZZFQuIwzjFRoccEPcRaChm+6ml6rqWnN51zj3j/M7cZ7INzLrzeyqyq6s5/v5VGVkvLGcOHHivBnn95znR65hfmR2rGsl1zWue4qfJxkXyzfLwA9p4deU28YkjKY+56A8L4cksas5H1JZiuTKRblmqB2nHDn1PE0sU54WAyTpVKfDedfoTwuXo41qyWaonXWj/KlHfczCHD0nRSoTub/RXU1bssRudZTzOKX6n6N+s72UdVYtlwPuP3CoWje+Nh9r7XSUyZXrJE1bj/1WSdIvlocOB/cCAPrk5nfoyFXV8vzivJeNcojVkvmFqWsyapstf94m9DxOxtP9LrsxTqg/6ZXTjnRpU5adc7+YpHUs9xrX+oN0/KY8g0DwZ7Mu/SIJnu/Ojqhlre9wF1uWyJOkNkk8W9S2WO438nbeGVG/6XU+Jhc8duXsl36fqUw9ajvL6bukRzLZgnKQ+WKf5JXnVlar5aHfs1DLZTeduY2//vn+5PphKWOm8BtcUBdS1X+zijevD9wOOBfddB9PY+GV9D2EDcfdg0jCJy44IYT3hhDeGepZQxFCuAfA6/3Xp9NHzwdwBMBb0suTb98H8GP+6/duOM1LAfQAvC69PPk+pwD8lP/6PffvSoQQQgghhKijCJS41KSxEE4l/0z/+b8atv8AgDUATzazXghhMMM+796wzY4xcI6bCzWcQqM1NJiTDCWMJpSmIAp5D9Q+b1vXP+c8FjTp3fP71PM0ZFpFGtGeniQK5EmqC+08SfYxD3lYtXxgwSftD9mQgEbgvOAlGRYM+3l5bdVz8aznEbwUGQiUC2dEo6vBh9AK46gTRw6m3T44e3uVm4RGzUY02bn05TDK5TQyjEgJvzjHSqdHkZ92mszMk/N9IjxHnWgivKURYTamoBnQabk2WZdzNhXxWD0y3igKmijfmY5AjRqiKWxw0qZoTidFeSY5h0lJ9znlaiprg5N+Lhrm7tDw8pK3ncMH9+dj0oh7muE9T5PvSxqxX5/z+0T3IQQyE/H7NKZ6pKAjBRCnR7mBnGuHI7IdOn+KKnKOsDS8a2zA0aFoirdtHsUPtXHM+DnXfaBRdPPniSeKj8jkAZPpMdGSztX2aBRHM5one1OZKerUTSYlZPjQ8evr9igqxjnIxjGCs0J9BEfdur4t53bq0vPUTTnIqA8pOQeb37MxtZ3JiM0HYll7tbxmlEfKz9UlA5YjVx2tls8eiXl/7iBjitLPORnm52FC96nlioDja7kcq6dzlP3gkcMAgP0H9lXrFpdzZMNaKddcviaeyJ/6Ds6zNKQ+MrXtMUfF6HthrsoXxpGFpBaoVmFM+7RTxJaesRFFhCdujlAzNOIImRuYcLddM4Xxay1q/SKbznjfyeEYiiZV/jhcT9SdpFx3o5L7iLhBfz3fR5DRTopoL3WzOQ3ItGXODVoCclSpP8zLo3Px+tYs97WrZ/LnY28n3C/V/FuS2gLMdO6u2j3jQGaKRLL3zfRh6mnryunPeSw8VG2H+jDOt5XyKF4BESi9QIlLhpm1AXyb/8ovPo/2nx/fuE8IYWxmtwL4bAAPA/DRGfa528xWAVxvZgshhLWN22wo119u8tFjttpPCCGEEEJceUjCJy4lrwbwOADvCiG8h9anIegz07vU1lM675n32b/J50IIIYQQQmwbRaDEJcHMfgDADwP4JwAv2u7u/nM7AeGZ9wkhPLHxADEy9fmVGUCTI8QO4KNwXqCkdCpIopfC+ZxrxWqSG5cEcdie8saU7ZSzqLnsSf5UM44oWL6TpFv583vuvKtaHvvk2G6H8vfQ+fv9+Hl/RJNsSQY16rscgOs2SeRIklKTbSSpCcmIAsku0gT2gqRHNemVjxuNKd8H5ysJLjUqSOrBJhnJ0KFD965D50qTfNn4onAJHEuH2M0/XeuIJjNPyBikknFRlXQ4p5JLs9pUDpb3pPW1ieikFUmHb9GY2kIvS4pSnqoR6W8mLZLwuYwrkLxlOHBZDLWNfYvL1fKhpZiXZ2kxn2fYpwnqSd5DbbdF5gyLC3H/cZ8nUFOd+6WMJixprSUEi/vQ88YmHGnSPM3vRqs1Lbcbkcwq+A2qeS3QcjJE4OetALedIi3QNVEuHn/4Jzz2OakLfIC6PLRNss6UEG5cZikpGyFU0juSQRm3M89fRUrUKl9Ym0wkWHM0bMdni81jxmx44PKmQHnZJiTdKlvT0jLuD0YuzZruISIr56KhRJfqoU2dpO2P7W9hPp+/R23/+hseDAA4dzobU6ydTSYSZC5DUtGkqizoeTvHJhQuXV7Zl2V9h49mE4t9hztezubJ+z3PkdamfGKTmlFA/LzWn7BovtouLydjDupKMR6S3M3vM7c27qOz5JokZnwuz3nUIunxYJCPP0j5/fIloQj8vReX+WshDLk/SjJn6i/YcMLrYhC4zJ5PizRute/C9J1M/dpiJ8v5Wi6hD5Rzb53yyk1c8jw6QyYSx7MgZrQaT9BboDK36QL9murGVA05H2vmQnk5qZu5/NXfDyw9ZgmfH75mZsHnL1M5qG5ZltlwrL2KIlDiomNm3wfgFwD8I4BnhBBObtjkfNGifRu2284+Z7dRVCGEEEIIIbZEL1DiomJmLwfwOgB/j/jydE/DZh/zn49q2L8N4KGIzgSfmnGfBwFYBHDn+eY/CSGEEEIIsR0k4RMXDTN7JeK8p78G8OwQwolNNn0vgG8F8JUA3rzhs6cBWADwAXLgS/s8xffZmOvpq2ib+wUbySSnuqKYfdyBt03SrprUhMLxadtQsMzLf7KsjqRjRdqf1hnJa8btJFcjeQlLIBrKxPKh1ENMKC7/oQ99qFr+8FO/GADwRV/4hHxOcsNKTm/DQb51vYV8LSl3CTvuhVFyDqK6acg5xHXCUo80LsTOQCzxK30951gJLClyWY6Ry9yonyUYSfaywLlkqCxD1zOQQq8aqeJydmn8ajhODlW5HMZ5pvyeFHRvOE9Tr5UkfPmY7HjX8/xE7Jw3IUlVOuscSb8OLGW5XXLCG5Bsb3U119/iQmp0uUwr7mLHTl4HFpeq5a5LLctRPmaXzp/adiCpZafNubOSq1aWKbFTWZKf1iQ9JGtM+X9aHXYrpJuW2gzJe8akjxk35NpJubc4bxp/y1Zq4FoSFspV422CXeaKhsxtmx0fiNfSJWlXq5PrLEkMh+wex05s3l/U3NPYZNAlhi2SHVZ7sxMXacO6Li9ladiQ2vHQny1+hnpzufyl65MLyi3FuauqumLZISh3mLevk8dOU/HoOfF71qO2VeXzArBvOU69veaaa6t1p09EAcR4LX+lDSjXT3rMu53m74q1QRzXG1GeqJIc5YajKAM7uJxd+hZaWToWhvEEA3oGw5C1d+7qOeCcR3TPKukX1ZnXqQ0pvx71V5MkVxw3f55yHhU1uRlLar0Pyx+DupPq+CPuyzlXn5+Xy8d9ePqGKUqW7eXvnbHLyMdsA5gKy30hfSenI3HdsUSu6/vta2fZ3iI51g7LKPs8fubufMwVcjZMcrgB5yGk4qUmSbr9mnNi9RywjR+mlrnM1fc/J7eq6f7QAOfWcok9TwvYLKfUHkcRKHFR8CS4rwbwlwCetcXLEwC8HcAJAN9iZl9Ax5gD8J/911/esM8bEfvM7/ekummfgwB+1H99PYQQQgghhLiAKAIlLjhm9mIA/xFxAOePAfwA5xlybgsh3AQAIYSzZvZdiC9SN5vZWwCcBPBcRLvytwN4K+8cQrjVzH4EwGsBfNjM3gpgiJiU93oAPxtC2BiZ2iGbD6k0XFfjOoAiTDSaU8vKniatN5yaIzQ8qTtNSjeatT7hCd7VoCVFU0qa+FzlbOBIGI0q+mRlWO4q7j6Tp7C9/qab4v72rdW6Rz0q54ka+whgbyGPys1TTg0LcSS8ZhjhI1wcOShqtyAZT/CIcy5fqJw3eAI2jyCW0+fkjPc+RDemXDKcn6nXi9fSppF9owKmyMqEQn0tX2zTSF1Ry50Rj9/mefg2PaI/oQbToSjEvI+Yd8kQYXkx1/OiL48o8nC6nyfFJ5OLw8t5nyMHcrQoNYmzfco/RO2kV5k75HVDvyccMZ3jCJLfkzGNKM/N5ZHcro/kDsnkIIzpK6uMy4N+Vum2afi27c9Gm4wnOBrT7sZz8fPED1+K1pShYUgXOT9Sm6IV6VB8SJCRQMqRM6G2zRGeptHhNhmgFFUkkaKv1PayYQS1fbr+4IYTpXGd5PNPfFSZI+Nt8AT0FN2l56nyvaBzFjyTPJ4r8Ig3XX+KdrGhQKfPs9LjuThPVLr3cTlFsfOqwJERj0b1V3I04r5wqlruuiMG5+7av7SYP/cI5eEjR6p1Vx05DgA4e/y+fM58egz78VzlgIxcWuyO4BEkmn1/apINJdbWY66gcCTvP384T/edrMWLPXZ7Hpe0EdWPPzLFmCLeXTIWCSnSyIYL8T7Mc91SOxi7uQ4rA4z2TzmHWC3AOQlLjxS3KZLYomON+x6BIqOXufncH5QeiR5TVIlv+tgNIdjYg3OHjbxvGNPzUjlN0bq6R9N0XrZaTka/fwXnm+IgtkWVwrLlaH5vnJUL/ZQTkY5Z1qKr6aR0UPr7IvVdZa3Q/JylQk0bY/D3Z/3Z9HW1hJAc3dxw7I1cQREovUCJi8FD/WcLwMs32eb9AG5Kv4QQft/MvgzAvwfwjQDmANwC4F8DeG0I0xZ4IYRfNLPbALwCMb9UgWhU8WMhhN+8IFcihBBCCCEEoRcoccEJIbwKwKt2sN8HAXz1Nvd5J4B3bvdcQgghhBBC7AS9QAlxPpIizMPYZckTY4vG5SZSEK1ud0CT3pNcj3M6+alqErZa6Nx/YccCmrjcqnKbcK4Zyv+zPvR1dEhSgkxcUzbp0QRkSgJz67HPAAB+6Q1vqNZ9/XOeUy1/4RfEKW0LlmULkyGZJ7hsh00cJj7Zl+UfoXZ9UU5hnFOJip/qr8VSEdp/7HIGvo+BJx67nG5MuaFqp3dZSatL0ijaPymBykHWdZjrGuZIXsE5SlL1tkmC1ydZSDYdyGVe7OXzLy9GeVBvIdfz1Qez5GdpIUrzVlbzMftnWLYSj7tM93apy5P2YzthIwDOGdVNElI2yXBt2Jhy+hQk/Wq5VIjz59Cm6HXitdDHGNNEe0zi8QsyDGAZWGuSDBfo/Py8JikoaXIC6U/KJFuhe1+Ts7kckNtG3p8fKJaTxXtem39d+yV1Nrnu2wUZQnidjkiSw1LOStFE9VibAO/X2mnl+zzmKk3JhKiPCLWyxvOORvR5kjKSPtVo/0mSQtLzWJIUNZkGjPss+yOZ1qKXn7RRXP50S1kKiVof7dfczvv31/PxTxyPkuQOSTHZzKTtz87S/pzH/ei10VDinjvurNatn8vHTLLP0YCMJSiHWKuX2j7lxiI52sQb/b1r2fhibpAltaNz8Xm8764sRVzq5fKNRvG8bZJmscSxU0kx8/kHnndukfoAFn6cSVJZbg9kNpIMJTr8vLLhw9jzfXVYDsZyv/jsToZkCkPmBklGPeznTozz2pVJohdIwkcJjkrXUY/o2azku7X8bqzBS30EyVP5+zl1EdT4Wmxkk/Sxc/nerB64ploenojXOiIjnSFJ7FN3WvAzTt/vpa9nmXFtCkCV84kk6i7rDCzL43uanp3a88Sfpz9UsAmsg97bej6ZSAghhBBCCCHEjOgFSgghhBBCCCFmRBI+Ic5DJZ+qJHbTuZt4mfPzTCbsQjRtW8OSqHQkdp9LNjycSyewu5vLkwqSKY3o8yRPMnKwaveyRCO5gZVDcuYjjULpOXCGrVz2Fms0fP+7TmY3qDe97W3V8h233wUAeM5XZFnfdddnh6sk0ytrEj53Y2IpBzmJVZKrQPZhRJIsFeRMyEqClB+Kc5RMKNdQymPFLnxzJI2zJLOrSQhZIjH2a8rHnOtE2d9yh6SM5Iw4NxeP1SE5WTnI7nJjzxfTIZu+QyzRc8e8pYVct1ftzzlk2i71GK6Tix/pMlpeljZYipLLZ94O2+QAVTNa8+UW3adeykU0Yhe9vEs75ZYi1yyW6KU8VoGkW0Nqp4N+kloGWpflPckNcb5L7mfltKSEpSwlSYJS7pV6nieWw6VysTOfS35q27FTmOfC4Xxd5I6W3O24vWdnPaB097QJVWRJ5R/7PWvT+ZnqmSCJ2pDkbOmR4Fwza/18/1reH3SL3IekZlKyuyjLIpN0jxPU1ZwJpyVD62vsFBqdIxd7JF9dzO08uBR0RG6N9GihU8T6Y7dElo2urcbrP3U6y+F6c7n+ut6fzM9lh8qj1z4IAHDDQx5crTt1/Ey1PFr1XHCci46cPFM7C9TX1nySXGJHjw7uXM056O/9dOxX185kV82DV19dLbeSjG2c7227S86Ofir+XhmvRtlfr2joawEEf/a4mJzzL3VNNWdZkvgl+eeQDRb5+9HLwt9vI+qDyuRKSm1/THWa+tOSnjeW8CVXVFItovC+3FjCx3I9fw7YNZP7i/Q596WBJLNjpO/f3F6vPpDv09ow1vmxs8fydVJ/mLS4E5JiliSTTmpB7reKmnw37TOdB5JU53UJf7rBvK5Bzsduvah9zHGZSeM2ewVFoIQQQgghhBBiRhSBEuJ8+IhPld+JB6npl143joAtLHL29jwCs+ITfzGhvDE0HJZG7tqBRrB8DvJwPQ9Ftnn0OqVpomDMgEZ9LOUf4hFpGpBvI+WFyetKHgCrcqzQyP8qRSZ8VNeoTCHkUc8/uPlmAMCd9+XR3Rc8/wVUlhgladOoY3/g+UZ4gjJFPoJPPK6NdHJU0MvCBh1WcgQvGWfkCd6TMpd54MO+nJy9RfmLkjlFi3Lp0KBgFQXgyMC8R/0WFune0ujvXJUnK++zynOZfbcuGTvs35cnlc97/qTFxRytmJtnc4GJHyffO84flHLstFt8Hymy4pOh28Z5WciYww/bYcMGN3cwcN1zXpx4rEGfJ33TiLWbEgQyWVhZzVG5tXMx2rS2TveRnreQcmOBI5X8vKUERmwiQaO7KacTPxtsBODbFjTkm4wICtqupOtv+4M6pugkj35PPPLEx+Q8VWPPkdPiIDBFatPtrUVEqW23Osl4g6LkA47Uen4garsppxEAtPjETuGmADZHdcNV7hXJZh6hNmLv10Z9IT97E392S47gWL7mnkfwAnWCA37e/Qb25nPH16XQfzmJbWpAJhDnOjknU/BI59WUk6nrxhLXPezGat1dd9xdLd95+g4A9bYTKCfR0HOwhQk9T5yvDLG/oIAr7juey3TyM9FcYr6gnEKn88aj1XiuMT0bnW7edrQSt+0PyeTCv2M6uUj1nEdrqV9jsxAyPPAoCEeFxiOKbnqVT5DPOaYI1NgjS6XRdw1ynaU2Oa71J2w05GUGP88N+Z1qIRr/bqcLbYpGlWTyELhfTt+fBUeIqA9L68kEotvL/fby4mEAwH1n873lyH7qOzlSx0GdlFeuoHtWy0NZ5ZGkfVL1UiSwZgjRFDRqyPnEq2r+Wdaw8R5FESghhBBCCCGEmBG9QAkhhBBCCCHEjEjCJ8R5SFKxNGGUZQEsIeh0Y+j88MEs92Jpm/m2a2c5nk5ygpRTgqVhvmktRwrPD/fQPkfNJ0bbut6gplqgp77tk6VLmqQ6rsXwY6ECTRYe8aR7lzaMyTgjUM6oOZeu/cOtn6zWfeAjf1YtP+VJT43HHOTJ/0nqUpKhAEvoqnri8R/S0LWLaVlhCdYler6RSZaXjGiydZKVdIosCeq0e7Tcnjr/mGRgSWrSJknO/gPLAIC5ubyuT1KWA/NRXjOmCdKnqU4HLivpzeV6WFzIkqS25wbp1Cb20gRtv36eVM0yqmT+0O6QwQhJ54LLQgrKT9Si5ZDyAtFE9a7n6ilJzmXU3qv54SQFnJD0aj3ECfJnz+W2cfpMnqg/dLkey0/BRgF+TaOCZYXTeXF4UnjRJSlPqgsuPzW5rt+fbo/lnfFcLH/k5bG3vU7B0iJqOy6x4zJxPrSUX6mg5xVjkgy7oQYbFqBDZiVe1nLC9UDH8uOztKomcfQKGHJ/5AYntTxNJBO2KsEdHZJkYBNf5onyfM5Rkuxy2y2zecJkIRlz5N3H1B8UfqwOPXvddjaEsLG3j1GWh2KQz3V6cMrLnOvx2gdfBwDYf+hgte6hj3x4tXz89mgK0Gf5I93nlP+u5Jn8lNtq4DKwAeWiO37P8bytP29jyr11kkwwkqx1bZDrqTybz99fjRLCEfXryRRg0iMpJEvs1la8zCRRIyllcHnnmEwQRhPOaTQtga+ZPKT9ScI3NMqt1ZCXrSY9S/c88BdkpsoFyPLYZPpSk/CxbtH37bH8lJ7tJOGjZ5AlfKk/G9MXtJG+df++2H4OnFup1vX79+bjj+P9q+WzYiMcb9IscefnMBl3lNNff7V+t2Dp9KwKvJqGb8Z99hhX6GULIYQQQgghxPbRC5QQQgghhBBCzIgkfEKcjxQxtw0/sSEnlMsBlvctV+vm5rKWZTiI266tna7W1dzvyuQIlNdVoXmSs43JaczcsscmJI0iBUM2FGK5VpYQmCfvKHss1+K8Pe6Elg9Zi9wnd6ARxf0DXUDLJWdkHofb7r6zWn70mShLGUyyfGbVZSctshYKJLdrJWkbu/CR/KeS7rFkiJ2RJtMaBXZFqxzrKFdOi2yGkqNh4Fw8lINm7M5WPZKDHVyOboMsQ+IcYd1urKeCZBUtlpV4O+uRxK7XJbldKksthxjd03TNI7Zvy4vJIa1HFlxGWtHCpaDsEFmwtGvgMixyN5ubi7lPyiFJHUn6NeqmfFz5mOurWda4PjgLAFjt53UjcmZseX6nDkkl66oSdw5scZ6l/HmS5BYk2Wm1Sd7j61sddr3Mn/f8uOx6VeVZomdwTA5eLX8g2/RAsONckp6NSS425kI35KLj9pzkPZOSn3cqn3/lswMkd2jlZFpuV3Mu9GVuu8NBfDbHVI7uiBzrXCZcc7XkTg4p3xY7B7JkKf7kPqYkx76JP3vsBNbmXD7+zLCsj+W9hw9dFctJMt/h8Gw+mPcNx+65vVrV68VjHbrqaLXu2htuqJZveHh05PvoR/4pH4bkcqW3nQndZ3aAHE5imc+eOlmtO93Pywv+7JfI8tZV+g7oe10OSM49HuZtU9/CcrC2t+37zuVrHwzInZRcBKtjspWbPwclyQrLWr6v9JPlq7yty09pndXu2fT+TPqcHVFr7axyxGOHS5fw8Xbs+OrL3P/XnP3SYu0vaXY/9TyLtaRLef+FXpSSXn3oSLVubSXfp/tW4nfhmGXGlAuwktjXVPdUp/53A0v4cr+9A9meqKEIlBBCCCGEEELMiCJQQszM9MgXZ2VPo75Go1VzNOl/aSkaBbQ6NMJHx2qnkS9KcFTlgOFTUzQqDTwVnN6dRqjSPP8xRQaM/BiKVsrETrmpKHKSDClKGuIqx9Mj4lwRfRqptH4cTWst5pPee/pEtfyPt/wDAGBpPmdqX12Lo25zlC+jE/LyYi+N3uZhs/aEIy/pB+cLqaVaB1DPF8LXlCZJ86gjj2S2fdxpXNKILEWj0vLSQi5zMpE4S9fepvGrNLl/0s7rehQBa3tkZL7LUbF8ysFqbEkTzvcVaCa/X76BI1wUuanyhZEBymR6VLZNBidtclcYey6nIY1qzqfcUVTP65TYZt1z0az2c/RxnUa8J97mim6e8L+8nHPZtJIhAs+fpihIu0xRM7pOisCl+1+rE85j5ZGbNkWdOu18zYWHmWoRIF9X8DA4XX+3k3Jj8aRzaqc+AZ9zX3GdD7zNjQa5vQ1r0aTpMVGOWsLrpGYeQOGyYfXsUlSOXWfSc07P3tjzpo0oisvdUW/k56+1zbzYSqPobLbBuYYadmLjjVF6dnnknQxYUu6zTjf3MbXIifd9y/v3VavWzlGk2NvM+no2abj9058AACwsHajWLdL+D33MowAAd92ZjR/uvfNYtdwupqNy7N0zcFOdk+eyoUAxnw0himV/3rlfpkjuxKO+RUlRfI6YVyfO9ZgidCOq5wlFkFL+wFo0v5aHyU2WODrKZirpJ0fGG5QBrGDgfGXB73PBjafBRIKfrYLaQVFM52ircj5R1KnmzzJJ339Tp0kHjZ+3mtvupHKgyjt1qF9Pz9NBakf9g1dXy2cG0TRnNKLvGn6OvNGE0fT3HwCkNFpFQ4Spvqo5qie2RhEoIYQQQgghhJgRvUAJIYQQQgghxIxIwifEloRKstDyMHzgia0NE7B5AjQnaJpbiI9bh3JKrFLovesTe3lSenaUqDlX5OXJ9MesN0jmCAUZEgTSPLV7aSJ9LhNLlswnBHNOoKLNshGXOFDemTFN9O/7+nWS9Z3u55wXnz4eJ2YfIPlLkhStUK6X+bks7Qojz/M0ytKkBZ78n+QIpFHgKm37RP8RSa9Y0lRJRWinFhsFVMfn/Dwj2jauX5jPUo2e1+mEzsOT5tNdZnlJp8WywcgCmZKwNK5Mx62VadpEgvMgtUmaNUltgiaiD9en84F1LF9Tt0UGKX2X30zyPRmN4rbjUS7n6lq+j2ueV6Y9Rzm26Pq6LmfsLWbZXncuL6d8ZcMxyydJqurmDVYzviB5TSXnI8MF4+cglp9NKqymHkpmIvRshSQJIhOFznSeKJ6cz+YLwfMPcb/SIROMgZsO9Nfz8zTo5+We11+3m+t0fi5LIEcu9+NJ5y2WSflzyu2Q6yR1OBOW06VcM3RQltdWedFIujSpNa1kXMHyymLqcwsk7ZpW5NYkuZw7a/VclIgWlJyKc6iN/LgTus+LB1KaGN8AACAASURBVA7lz93DZN9kf7XuM3fGfuueu++u1j3iEY+ulvcfPgwAuP4RD6nW3Xvsvmq573ma2JQFZIxx5lSU7q2u3VWtm1+m+k05rVrUFxubpfhyma+T82yN/AbUzUi8nmsGH1Sn/vmEnzc27wnTxhS1nEV+LJbwjWvyV29HtbxkmIIl8jWhrN9HNp6oC9O8/NT4Uh8c2DiiIV8Zt/fal0m6DsrrNmFZYpKL0/drC3wfYr8938n92jWHszHJvWuxzazfR2J/dnxIxho1HfO0nK9u2SK53oVCESghhBBCCCGEmBG9QAkhhBBCCCHEjEjCJ8RWBFR6lyTVCWzTQ1KXiUu/2I2KNQgLC1FW0SNpVzhL0rQGx55qieUrnOeilXahlcV0DpWaEoLkLcHdqDodkqv1cvk67srWIs3MpCC5nkvXWPIzbo9o23iuAUnchpRv5ew4yrg6YNesws9JOUjGtP9qPOaYrrNNssi5kPJwsfQok6qKcz+xC1/KucRCjVo+kUpSRJIjkmqmFD8L7JjnsgnO7cSSnTCalloWJHVJZZojGRRLAJEklJPp6wByPi8rWZbI0q34+bjPOYty/Y2Se16bnP0KykOV5HQk4RusxGMNB/nedeY4R1qUlnVITsVPTmrTHZL4GUk1U3ITo71Yolf4c8ouc3xTzdvxeECukQVLQd1VjCQxdfnLtL6o7TKwLuXoKstpqehwOJxaBwA9vyfsnDegz1OerJVz2bmQJUnzi7F+l5az3IxHSYf9gV9T89hpulbOjdXmOnH5VC2VWki5bmhVzbYsyTvp7tYkxQ3PU233ackRy7hQ9cvTZYrrY/2cOUX598a5HS7Ox3Y4pBxsRvnQ2nPRTXNh38G8z77opPqZO+6o1l13XZbrLS5Hx7/rHvLgat2tt9xWLd9za5TmlZQjbO1sljb3z8ScT+2Q1/ElWzu2jyHl7CvpeQ0u4ZyMcx86LOl5bcj3lZpRXSFG+Y+8TbCLa3tMD1RKRceyvAnfB5f42dZyt7ImPab+zJJEj8uXyRL7vK6c8HddOg9Jn71t1J779rREz2q5ofL65CLIboP8/Z1yFrK8lMtf+PNesOS3lyW3V3mOslMrOQfYcMJyvmmXQO6WmsWOF55aHqnmr909iSJQQgghhBBCCDEjikAJcV5SnpKUTKc19Vn8PP4cTzjfRh4B63TjeMUcRyaMRpP8AAVFO6w61yYjSGlUjiMbPFRZTg8rlkOe5Ouj2/XkFtVS2yNTBeUnCgVPiPXjUFSJcwmhyiPFeTIoAjWKI6xL7Tzq1u74uQo6ZsGzzv3Q2WMC3blcpvmFOFLcKvIxObKTzCMG/X61jiNQXc/106ZJ5TwK3/VRxQ4NxQ6RjwX/fJ5yX6UB/XmKTAzI8GHieT7aPc4RwmWKddLhUWYe0S/TBOwxfU4RrNR0aaSyS+YEpUcYx4N8zqKTr388iJ+vlLm9rvMEc5+gX3IeKY9QFcs5H9b8vjzyX5kKdHgiPeX/8Ugk3/lJbajVj8+ZgijXTZHCGDQiPNfL0a6iG891rjxXreMR8zR6zVGnNtVJirpyXpdkEsFRJ442pagnm0iwScXiXK6rxOnTOW/cOV9eX8/7zy/m/EaLi9GMpdvNk9KHlGdr4s/+iCea18apPa9NbUCd+gOvyiKQ6UoV5uacP5RfaFRu/LiWw6zqG8J0lJeXSzKnKcgAJZV5Qs8w96GF7z8iA5PT1M5bRbx/XWobVx3O96Hwh6aYy23r0FXXAgBuP/HJat1dt+do1I0PewQAYJHuzTXXZHOAE7fFCNTq6RwVG63k+9QaeC48jpgO6T6NY1nbvRwpG9WMDPw7q53XtThCiGmqCA1Fhfg2NBkahZocwpf5u6R2zvQ5HZLbXmpb1DhKahMpEllvuZxPbTq3FeeZyudq+i6lvtKm4zY134haBMrbRq1Cp5NG8e5soNLyPpjz1xn9WZ7yQy1SLrzxOYo6Np2TyNG2uo3ERSVM97t7FUWghBBCCCGEEGJG9AIlhBBCCCGEEDMiCZ8QWxKQwuNlJbHbOjTNk7rLkqVtLhXpco4VmlxaJqOBhs95YmxDtL42qZuNCFzyVU5qIoK86BOnxyHLAmqyiySL4cn7renrr8kqaBKu+flrqkKSpq2Oo/RtFfn8iz4B2oykkFTmZOjAObROZJUTDi7eAABYoJxBrEUZDqOUZ32dJHwk9UhyPb437XbuKpcXFn2ffFEr51ar5U47ln+RzA+SArJDErD+ar6m4bDvn7NJQi5zx00Fuizxq91zX0UNYTzk/EjxB3ld1PKRpFxDI9rHyGgg3bK1wJPW87XMH4imBUa5oca+f0GGCCXJ3fouG2yRGUUgjWG6JwVL6GqJmFJ+NjLWaDXId6jxcT6Wrt+nuWG+D/31fB+H3r66nMOFltO94sdh4s/7mMwBajnGQn1fIJsYAEAH8VpOn8nSrjOnzlTLKedThyRsB8ncYN++KPnhPmhI1zcaJflqvo8si0zyJZbLcUMr/P4ZSXbzLWmeKJ9PFJoWq+OzWQTnqku3n3NXjVmemoTEfPzaTPr4OctfB2SWcuLYKd8u12mHZNYHDsR+hFRUmPhzcvSqq6t1d9726Wr58OG4vkvHOXyI7tNSlAie/vQ91bou1Unb28HKkKSg53L51/yZ6hzKfZzl7gYhRAmgtSjPIJkftSbTMq6Jf0e0a7K56fyBNbMQziOVtmUpJksQU39ay6+XP09yvEArx5xvLLXJTeSloZLL1U46tVzL9eYdcy0PFBc/fefTdypLepN81UqWPXIflmSHfFAynkrbsakKuTAseH6ofWS+c+4cfdmle1psLcsrL7KJxIaTRa4AMwlFoIQQQgghhBBiRhSBEmIrDNUoWp4b2TwhM9mvTmj0mSeTp4Hwdmt6kmo8kk+25iG2YnqMgyespn34QE2DUfUSN4yb0OjteEJRhhQ64aFCGslNI/otGmmt26y3aj9jUfPy0O2x+2ToML8YPw8U7eCBxCGmjS3WJtkIoO/LvQmZSNDE5tJHn8OARmeLPHyb7L35Ps9R5GdpMUZZ1lZp0jeVb3khjhr2OtPda8G2wBRBG3lEINkPA0CXIjytuRj1YuMKtkFvp/UlW49PTzGmefagwASCfxUMy+aR1sLNIdpzdJ/ZkMHtzft9sh1O0SYy4OCR1lYrWfhSnWA6AlWbaM4jtR5lqT0idE0TNzAxivaw63K6P72FPIrfZ8MFf47bFEksaBQ/jYhzmSdh2uykds89NDO/kM0F2jQivnY2nv/UyVPVupWVHBUbVWXKdT+3mNt5100F1vvZMGFM7WDkbb+/RjbqbKAyH/enYAyszSkGPIreYdv+TipcPmfNC3tDBwrUPMfTLWWjGatFNpost9mu39sB/znD2yYTilrbyp8na/e7774370PKgYc/LBpGHL0qRwF6biixtC/fmxOnsuX4Jz/xKQDAIx75yGrdwsFsLb//yCEAQIeep8mZfCxLdvKBnrdxXh6dSdeRL6R3KPcNc3NJWZD71VBrm6lOSa2QljlwzZHAKsJEESKqx3F6XimEw8toMHHgyEwOZPIXCKk5KpcLTvMx7e5ggaNJFH32cxl9/6bvJY5AjcrpZ3gTj4b8ce1zqtN0/qLV+Hk6E6daKOkLvIvYNx1YOFCtuxe5nY5duXE+W4ii8TeO0lK/Vk4frTjP51cqikAJIYQQQgghxIzoBUoIIYQQQgghZkQSPiHOQ1YMpEmwnK+EtnNJ1XhEEgDSiqS9OrWU8nlx7PIeK1h65fIUyu9TS4nEerm0qsFlglc17LKpBKBMpw0k2+MNUiZ1ZPlIr02SJ8/pxJfM26IfpTKTlSyZwbKftJ3XsQIitKJsYULGE5xb49R6nJjdoZ3mWlkyVa7H43ZHuRyLCyRHcz1Gh6RLCwt527bnp7Iyn38fSXEOeu6XLhfa9XIs22PZxmQtSm2GlJupR7LC0utsvD6dJykeIH7OTe/0iEwyfNJ4f5jrdBTyNXVcptYhaVlNdunnCmQI0WqT/MgbcknSrnQpLXpIWtTSch6q5gnYoWHis9WUYW6QQnKwMUuOXHYYOrmeWMI4cd1lbynf+0Otq6rlFc/Rw2Ya1OQwNM/d1Z7ODVUrObd97zt4ov6AzEzOnY7y07VzWQ42JDleOu7ycpaT7duXpWEtlyWWJIkdreW+Y7A68GPmdsCGDoV3Lgu9LGtsUf0lyVib+sBukmqyUQ1VdJUnivSV3IUWDaY0Q8ozZZWEr+ZEk081npZytug5ShI+lnbxxpOxG3+s5/KduPdEPlbVB19XrTvicrxyH/UBB/J9uvuuzwAAOnN3V+va87lO549EQ4n5Aznf1Dm65yNvUkbyzg5df8u1c8NTJO+kHG3zR1KeqNw211u5TpPSN9Tkem54wF9P/Lxhuh7Jo6KSsQU2qCBJcdqvLPk+0vHTiY37C/rcZXYN/iNevumcR7Uccb5tysUG5PxLLO8c16Rtfk42mTDuo/w4bKDCOcjSck1nzAYovobklXz81sRzCrZzO2kVTe4MzRrDdP38h37ptVpu8ud/pTpkM6uCry/uzzLaQN+FKGL9jifn0T3uARSBEkIIIYQQQogZ0QuUEEIIIYQQQsyIJHxCXCCS/GhCLjXsWJNC3rZJHqkQGkLevm1NYldz4WtiOodKWXPAok2b9HznoWbCk66JVrXIPa6oVBkk0+KcGS6/6a9lydFk5BK4Lkn9yBqqdGnAhPUnJN26+/idcY+1LDHYN38ob+qn4nxU7PRWepnaliU3C+TkVnj5u5zPpNOjbeN+lMYKQ3dPm0yanY/WPDdVuZ5d4Liak7rlOOUHYpKMrUsufj2SHabyzXWyXG2ecyL5fp1e3n/IeaT8UjttyunE+VBCcpfLx08SPJYttlje4tdf1qpkekxvO65PVnP5cwdINGuSKokgSSGXDuyrlud68Vprjnir2e2x522Ccx6Zf6VOWMLGz563Gc5Btr6W7/mqy7hSXrBILvOy5w+6inMKLWfZZX8YpTTnTucyr1GZ+2sxPxBLekuSZKU+aq6b72N3MT/P40mUgQ1JK5ruaa0nYSlmQ56ouiFc2Phxzekt3X/uN2rPq7umTcYkI+rQ/n54lsyyg2c6P0uS1kn2eOLeuNwqOUdalPMdPpCllMsHch9z9my8jx/7+C3Vuquvzjmj5t1Vc2kx779eZNlgdaUk4TPL96G6frqP66sk0evFzxcO5Oe16LEU051I2ZnQGzIrHWvfVcktsfbck8OlV9+ErPnYGbGFaQlesOnnPdB3BctzU98Z6gfI56rWc+Nmxz8vJ38/pxyP01+Z9cPXZKbsVOqwjLeY7uNYs8rfO41/M9RK4BJD0koa9dvVbjVV3/R3eq0LLaK8lWWuXfr+OnQg9i2HDuY+pk3n7K/HPuTYsWPVurPn7quWJ2Vyxdx4LXsPRaCEEEIIIYQQYkYUgRJiCwLyKNH5YjXmo02bRZjSCCePWtQGXaus5fS5j1wVfMym1BotdlngEbiUJ2obkSaeVJ4OUxsUo9wcvsVoQDmbKArgg11od3OhyXsA5sOG/RXOWxOPzxGUceAR7zRqyNGEPPo6KOPo76fvyaO/41XK+TSOx22Nc/e3f4lGkpcX/Gcu57mz+ZdRMT0xl41Bxms+KZ0n6sPz+5zN0YC1wXq1XIZ4/a3V6RxbANDxaBxHiBbmKReQmz/M0UT1Vjsvp/xBnHdlnrZNmer5PtPgcjX626bP2x0eEfd9OMeJH6xkhw+K9qTJ5jzp2hoiorXJ/0RTZIqNL9KpeO+CEhzlCeCZMT1bbc+vdJCuc+Xs2bztamxnfH2pRCmvlxeUzhBLk4wLgPqzU+VgKznqlCNMh66KJheHKKcQaFL8WY88nTl1slo3WM/tLM/0p2eUSjcaeIRpmJ/HpWWKRrU96jbiPE7pmihKzG4dqW2Bmc7zxJ4oRS0qltrR9Dnz0TdG+3P95lxGFKGhhp7v37QxBQCcG8W6MDLyCaN4nwbXH63WHT2UI0x9z7d17FSOGH/ilk9VywfcaKdmuEMRpkkybKD2ytGc9By3yPFhTJGfid/yyRwZ1VACwVCkHGbswuDRDk4kyKm1/PLHbB4QeIO2HzMz4ZxMXv+1oBb7SaT7XHeGyKTyN6Rpqu3HHha0nMoVuKGl1FYcVeNjNkRPmVAlMds6p9KEc0vR93O6z/z5pKYW8X6b87Lxd/3IcyLSjapHfeLnrJBYWopt9uqj11frjl6d2/HhAzHn1Dzl+ePneejR82sO5D7mM/fcWi3fdTwur/TXUEsqtgdRBEoIIYQQQgghZkQvUEIIIYQQQggxI5LwCbEVIedoMOtsvWmS4FEIvmnqaYsnnLKeoWEudTXEQZOea6MePrm13EzCV1QahUwtP8O0DKpxVKUmQ6ppuwAAo0A5mUie1PKJy50JydGoGtue02KwliVDQ5/AvbCUZQc1s4sk5TCW9eWPQyeWJdCk6c/cdke1/Km/jxKDybksL9i3OC3hW1rMEoblhSx3K7z+HnpdlkB84ec8oVq+1uUQBw/lSeVFL140yzuXl7NhQWh5GyP5B8vx9u+Pkq3uXC4TT3pvdePxi9pkZZb/uPSqlpQo34gkjxqx3I4kRWilXDvN7XDsWhfOTZXueEnXXDQt14wjWPITj1nQMScN+YWsadI2cpswkmu1uyQ7rE7F5ycpTMqHMpfb4YFuvqctl32OKE/T2kqU9Q1Ivlm7ugZZY5fuQ8rvtLCYZXsLyzkHzNKyS/foGT95PJsP3Hc8TuxeuS+bSGBAssaGHC61OvdJ+wMytrDDWS6YzCWKhXz+M8k0piYdpj7QK5pleSXVSpGkuDUzDsIleJxfKJDMrJVuJOfnoT4oteOSJIahJuFLLhMsCyQJ4SDW1blRlt8mx4QRlWlCOdqWF2OdXfOgB1frTp3M8s977on3bIGeMTZoGSbpE+diI7meeeOsqblDbkdhGPcb5dRSnJIJhUv7uFsNrs/lryTu9tPzwGYebPJg6buE9+c69/bBuZn4nqV+oua5wmq2tBuXmb1AxtMmE/xdXN3yWqVNm3HU5Hb+vdvik7an8zBNNpH4VRI+NsZgE6VKwseyvmkJo/H3Pxkaoe/3kb6T25QnamkptsPrHpS/q66/5hEAgH0HsuS0S1/Kqc6LWt3nOum5XHyxe6Bat0x9VKcbC33L7Z9Ef5TzlO1FFIESQgghhBBCiBnRC5QQQgghhBBCzIgkfEJsScgygMrVa1pmBGS5QFmTOISpZZZxtSln0sBlGzUXvxSO53Usxei47IOe5KLmQuTnr7likZtVOv5miaYanI3qWpty6vg1x760R5nHagZtytXTjnIAzsPRT/lMJizN4q4qOUix1CIvTtw1qzWXJTHzlA8FvbjfuJ/3H4Ccyjz/0cm1nOeC0nCg7deycvZMte4LHp8lfEcPPwgAcPXR7GzUczngiCpyvcyyx/VJLDPL1RYWsoyr54577FJnJPlJkiyW4E1qrmXxPrdJ/jEup93j2PmP23ZRJglgM0mW05TLrMWyOpK/pPxMJR3VGvJA1WQ45LzY5HpZc+ZLBlkkn+mULEtsGD/kxut1zc+7UTtOz2aP5HZp95MkoStHWcY0725YnHeF67Sdcp9RMTqtfJ9THqcz57Kc7OTJ7PS2sholM+zO1u7k/ZMjHUuKWD7USu1rTG2HqnTBJaRG7azn8tEOyUeH7FiXHOXoSllmVBWF9Fr17s7bCZW5Vr5K+pXXjUk6lrs4ljnzPY0/ORdPu5iWdbIscPVcdCIryyzLwyAf86rDMYdOr5elTVcduaZavu1YdDAr13MfEEjKGarnsJaVKJfZl9uUJ4qvr3R3ttAn2d9cbvtzLuErjZwJLZaFr51zJo29nrvzdO9Imp1c+kZDdpxj6ZrLzUtySKR2kk5V1r6qyJUURe0nUP9+TfePc4yxpLf6fuZ7H+qfAfVnI8ndazJkNpYrksMkST7H0zaB3G0ENHxBcrdCX4bVfnSfu62FannJFd379+ecTddcc221fP21NwAAFudzOyw8v2GgurUx6/VSXjSSyRYsW5zWUi4vZDnftVc/BABwz7FjGE04n93eQxEoIYQQQgghhJgRRaCEOA8bzSE4TwVP2k8joLVJojVDCZ9M3TTyHbem/32fNMLFI1Scnd4jCgW7KEz4+D7aVxtQ5RH7NLGXE2bwmHiapLpJ8g0vbC33BM8l95HikvJB9GleabcXR8d7lBV9fTVGYyiVC1rthjrjGcYFRVN8yJxH0LpL+fjzB2LEYH0t57EYd2kE0kdixzTUyCPmaTz/+EqOQP3jLTnn1OMe/XgAwNlTNDrt5gIFjQIPQr7A9mIcFVwiM4tOL0cO0ggg5zni0eHhKB5rRCO6PFLbdhOLDrU9DipWhg3cnsEjoalt8/GpHaYoQDndDnj0kieQp3OVDVErAGh5Wfk+crQp1QU/Y7XnzbflPFNsWJGO3+HyUdtvpUtl8wIenfb9jaLIPc8ddfTaPAp85mRuZ/1zsfGPR/ne9yga1evEtsmRwH4/j+KePh3b1Lm1/BANhzQkPo7ln6Po5HwnR8jW3fCi3xzYqCbL1+qZjU28rJNWLtNCN65rUb9UT8CTZsJPG+bw57WcRDSDPR2Xo4+TWoQrLXDHwxHxdHwqHw+oh+lIZi33mC9zZCTliVod5XooKAKVut0WRWtQ5HvS9ed85UTuQ4bF9PNm3J5rj8m0wUqXEreVXmdW5n6Pc5P1PVzUWyATC8/Vx1GpWrTEv2O4j+C/IMuOl5n66kDfRaUnWZsMua+l6HLKLUYRmFrgo4qM0L1l84WqzdHzzN4Pbt40pDpNkcpJLcpNp5xMf6fzQcPUAlCLKac+iO4TR8Wq4Cunpmpzvxp/Li9mw6FHPeyx1fKc52rav4/MbejZr3KLjeiepD6cQnXcjlJV1HNXTffBZS1iTMYVc7Ft71s4gDPrue/biygCJYQQQgghhBAzohcoIYQQQgghhJgRSfiEOA9V/ooGmVIgqUktzL9hXyBPgjaWPtU2Tj9IvuKyg3Y7SzGKCc+wdhlTLRESyyLSQTkcP1XM89ICS7syuSoaEobw1iSDGg2z7GWwGuU/nW6uk1E/Sgw4l87CPOfgclkFXxNLx5KcgCQ5SZ4CAHMpvxSdc1hTH8XjkiIGI5IIJqMGlrD92V/9VbX8+Id/NgDgwVdnGde+Q54XZn+eSH5wOcsuMBevr92l3ExsRuLXNyRd42CQ8w9VBiV0dzpkGNFO7YPqLDRK49ikgWRcaQI3y7SozSW1R32CtOdQYXlIzaQhPQ800b2oPRFT65o+DxOWktC2lQxua/lpm+4jNQlYku+QYcGEjpUUWwXdpySRXKYcYItLeQL3qWMx/8/q2SzvbJF8tUBcXj+XTU1On8vbJgkepV1DGOXr77aipIclP/w09tfdYKVoeEaRpTxzZDwx380Sw9wH5npISp5OLUcYyZRSeiC6d5wPLEmvWMpZUDspfD+Wf7LxRWUuUUsARPds7HnhWLdXS2vnOdrCdJkAoJ30VaSUrA5PMuOV9SyrTNc/F3LeNvYemPMcYivdXM8jNiRKhkVcJ9yOkyqSLoQllJWklpv+IP+5N3Q533AtN6Si5yZGHTpnj3LJtWM7CJwrjRpikmC2OpyziPILuYHLpEv1TPVXupHBmNrzZEDLydChZn4z3XbLET2jZGjRTmUhye1kPG38FKidJkOJSU2iPi3R44RULe43vQ9i8xyWALb9806HzW1Igujf+62C+wjaNiSDE+r3xrS/t22W6Fnw7w2q/Jq6NpnvUNuqPW/V51RkzknoIvf9ywdw1+npnFl7CUWghBBCCCGEEGJG9AIlhBBCCCGEEDMiCZ8Q5yG7ecXfOf9QTc6XtqNwPsuTsoMXS5LqXmgbqULvrGBjxx6XlrEscNNkPbN+3qju2cRBq2kdSxmr5B6h8eN+EaVKXZKKdBfixfbXskRtfj/lcXLZZK3uWVBQpamgnEMk4Vs8ECVVnYWcP2c8ILmC617YLWnC+Yf8nozpnGdWs5vWpz99OwDgoVffUK07sv8wAGAfueyBpCwpx4rxNZF8J8n1xiSVGJKTWyrr/Nx8ta5H8qDqOibTskAgy6smNWkWS03i8bskyWHnqrG7erE0KznJdUh+GkgOl/ZmeUug/Sv3y1qeIpIpeZmHE5IRNbhh8TNYktyvkmmxyoQdLJMr2JDqjPPWzLussU2SoFySfBySzxw4HNvBAcrbMqY8UWdPrwEA1tazhK+g/qTjUp4h3adWO0vsFl0atjiXc8WcO03t3M9VNLqX5brittPr5eOn9tcn57+hS6ZaJI1i18qRO9Zxe2IpaJJM1RS5rO1KEmruN1nu5mViGRI71iWJZ2C9HXcX7lTGeapYJhb8/oWahHDkxya5Fp301H2xzhctP+/txfwczM1FZ8SlfTl/zurdx3OZipTzqDk3VlX+svn7o+pH2CltQO3In8nxID87w2HsY0bI/W6gtt2Zj8fqzWVJas0xLj2vnCcxTH/ZcL9ac+xzSXCHHVdJU5vyK41JolczivPlPrkNlv1pR8Gau1zlfMtytVphAWR3SqCeq67wNs9OnC3q71J/2WKJHlnutX190WJZJEurUxIzdoikbf0xrMmgqc4rF0F6HtopjyI5qk6oD6ry37F0mt0Sk6yxlpeNHTDjcrfdqT2zexFFoIQQQgghhBBiRhSBEuI8pJG10jPRt2jyfC1vTBrKnlAehjIvG3xkrJ1NFEKXRn48ymFkwjDxCNO4Q/lGWjQiP0kTrPN5SsoOnyYel7VIF+MTb7knaMgRU/CgXcOheCSmZu5QreQ8VXQCH9EfWh5xX/cRyOEajTSO6Qwe2ZjQtOwOjepZMvagjPctGkndvz+Ozs9TDpQVyqvT9XvK5gATNkLoeQTKKBpRUo6V1Xisw708utwbxXOVPDpaM66I4bOuMAAAIABJREFUv4yGdBwq/9hHEkc0PMr5WLrdOFl9jiIPheWR0KG33VpOpcY59Twpm8Ke1agrjbSy2Uk1+gz6PO7TpqHzAY9k+s/eJvOM0+c13wiKxuTbU2t9ucjezlpUT+ydUFZ52/jwVBOpzumeYJzb5ILFOg9zFG3xqNQ6OMKTd0+RvB6VucrVAqBYiht3V3PUB6s5IjBej/exSzdv/nCOZnW7MQK5cm6lWrfep9xdXn+twCPauaw9jygsLuZIZmsul6Xv0b6VWi6fOb+2XM5eyOcvvM642zC+5vacl4P7sNzfjT3XUmFkCEDtKEX2OVJZUH/R8s/HZX9qn/i5n7eWjIejTakPpQhV5cnCx+QoRazH9bP583mOPLikYGkum32sLOTltZGbhVAkbkLXnyJLBbVXo8hK4d8hbDLBj9HEI8G8f9ejIQPqvwdk6DD2qGNJxhPd+dw22p5/iCNMHFFOt6fkCBWYYmpd4Oio9/vdFhvtcNTQj0KmJ515jlZNm5Wks3FkumZm4s9ZwbniKFqUouxDMl1pU5Q+mT9xnqTQ8P0ZOPcV++yE6T5oQm2iaKfyUZ1znipvJxwgSveEI0icWysdiyNt/PVdJMMiLifVX/DnvV3W7+5eRBEoIYQQQgghhJgRC5tkgRfiSsfM7kPLDrWXfRSp8o5lLX5teBwA0CX76G43j1al+U48MNOn0eE0gMhzqEZDjxyM2Le4oaw13flUkZp38j23/Px8853uJ3m6Eo3IewSqM5dH8jpUj9UcKB5dten7ULObZYtiH31Nls5A3ap6y4LGk8UfVNFtGos6sBAtyw/ty5GBdhop7PBI4fQxa7b3PM+jsrhvLlIaNSxq9tQN84nY7b1xWluzJXg1n6ipnjeUe+MJrGFeU32z6fNsPH5eNT16HZobfPVM1FT4DZJ8jlDV55mkOVgcouJ5Y8XUTume1krE+6SpKVwkDsgmS+9x7hd43liyW661A4qupqgkz/Pgth0aLL/Zej61H7bT5+V0LSMqXzp+oFHsCUXqcv3xMPZ0O61Z4HP5UvoHa25vjW0vTC/Wt+N7Xkytq5XF8tqpczbcWz9o/MHzSNhKOh2H6nHUz9GqPNeu4UL4NPxLaHqONnleq7k/01Gt0NgbAMHrx2rRfp4n01iqrYq/gYYUBU23YbPvumrddL9ZK8HWzWWTkjVYl/P+/DdB4/L9mwtUn++7WR+9xf603NCcN6SfmD52c/1s0jb9eR+Oh1gfrsGswHgy2pOTofQCJcQmmNmtAG4AMADwT7tcnN3mMf5T9RBRPUSu9HoAVBcJ1UNE9RBRPUSu5Hq4EcDZEMJDd7sgFwO9QAmxBWb2lwAQQnjibpdlN1E9RFQPEdVDRnURUT1EVA8R1UNE9bB30RwoIYQQQgghhJgRvUAJIYQQQgghxIzoBUoIIYQQQgghZkQvUEIIIYQQQggxI3qBEkIIIYQQQogZkQufEEIIIYQQQsyIIlBCCCGEEEIIMSN6gRJCCCGEEEKIGdELlBBCCCGEEELMiF6ghBBCCCGEEGJG9AIlhBBCCCGEEDOiFyghhBBCCCGEmBG9QAkhhBBCCCHEjOgFSogGzOx6M/sNM7vLzAZmdpuZ/byZHdztsl1IzOywmX2nmf2emd1iZutmdsbM/o+ZfYeZFRu2v9HMwhb/3rJb13J/8Xu82XXds8k+Tzazd5nZSTNbM7O/NbOXm1nrUpf/QmBmLznP/Q1mNqHtL/v2YGbPN7NfNLM/NrOzXu43nWefbd93M/saM7vZn68VM/szM3vxhb+inbGdejCzR5rZK83svWZ2h5kNzexeM3uHmT1jk33O17a+5+Je4Wxssx523P7N7MVm9ufeFs542/iai3dl22Ob9XDTDP3GH23Y53JpD9v6jqT99lwfIeq0d7sAQjzQMLOHA/gQgKsBvAPAPwH4IgA/COArzewpIYT7drGIF5JvAvDLAO4G8D4AtwM4CuAbALwBwFeZ2TeF6YzbfwPg9xuO9/cXsayXgjMAfr5h/crGFWb2dQD+B4A+gLcCOAngawH8HICnINbt5cZfA/jJTT57KoBnAnh3w2eXc3v4MQCfi3iP7wTwmK023sl9N7PvB/CLAO4D8CYAQwDPB3CTmT0+hPCKC3Ux94Pt1MN/AvACAP8I4F2IdfBoAM8F8Fwz+8EQwms32fcdiO1sIx/eYbkvNNtqD8622r+ZvQbAD/vxfw1AF8C3AHinmb0shPC6HZT7QrOdevh9ALdt8tmLADwMzf0G8MBvD9v+jtzDfYRgQgj6p3/6R/8AvAdAAPCyDev/m69//W6X8QJe6zMRO/Ziw/prEL8oAoBvpPU3+rqbdrvsF6EubgNw24zb7gNwDMAAwBfQ+jnEl+8A4Ft2+5oucP38iV/Xc/dSewDwDACPBGAAnu7X86YLdd+9jvqIfxjdSOsPArjF9/mSy6weXgLg8xrWfxniH34DAA9q2CcAeMluX+sFrIdtt38AT/Z9bgFwcMOx7vO2cuP9uYZLXQ9bHOMAgDVvD1ddpu1hu9+Re7aP0L/6P0n4hCDM7GEAvhzxj+lf2vDxTwBYBfAiM1u8xEW7KIQQ3htCeGcIodyw/h4Ar/dfn37JC/bA5/kAjgB4SwihGikNIfQRR24B4Ht3o2AXAzN7HIAvBvAZAH+wy8W5oIQQ3hdC+ETwv1jOw07u+0sB9AC8LoRwG+1zCsBP+a+7LlfaTj2EEG4KIfxVw/r3A7gZMaLy5AtfyovPNtvDTkj3+r94G0jnvQ3xO6cH4Nsv0rln5gLVw4sAzAP43RDCiQtUtEvKDr4j92wfIepIwidEnWf6z//d0GGeM7MPIr5gfTGAP9q48x5j5D/HDZ9da2bfDeAw4qjZn4QQ/vaSlezi0TOzFwJ4MOLL8t8C+EAIYbJhu9RO/lfDMT6AOOr6ZDPrhRAGF620l47v9p+/3lAXwN5tDxvZyX3fap93b9hmL7BVvwEATzCzlyOOyH8GwPtCCHdekpJdPLbT/s/XHn7ct/mJC17KS893+c9f3WKby7k9NLV19RFXCHqBEqLOo/3nxzf5/BOIL1CPwh5+gTKzNoBv81+bOvVn+z/e52YALw4h3H5xS3dRuQbAb21Yd6uZfbuPric2bSchhLGZ3QrgsxG1/x+9KCW9RJjZPIAXAigRNf9N7NX2sJGd3Pet9rnbzFYBXG9mCyGEtYtQ5kuGmT0EwLMQ/0j8wCab/eCG3ydm9gYAL/dR+suRmdq/KxeuA7ASQri74Tif8J+PukjlvGSY2ZcAeDyAj4cQ3rfFppdle9jiO1J9xBWCJHxC1NnvP89s8nlaf+ASlGU3eTWAxwF4VwjhPbR+DXEC+RMR9dkHEec9vA9RxvBHl7G88Y2If/xdA2AR8cv/VxD16e82s8+lba+kdvLNiNfx7hDCHRs+28vtoYmd3PdZ99m/yeeXBWbWA/DbiFKkV7E8zbkVwMsQ/1hcBHAtYtu6DTHC+RuXrLAXju22/yup3/iX/vPXNvn8cm8Pm31Hqo+4QtALlBDbw/znxdLH7zpm9gOIDlH/hKhhrwghHAsh/IcQwkdCCKf93wcQo3J/BuARAL7zkhf6AhBC+EnXu98bQlgLIfx9COF7EM1D5gG8ahuH20vtJP0h9CsbP9jL7WGH7OS+X/Ztxa2ZfwvRYeytAF6zcZsQwvtDCK8LIXzcn6+7Qwi/g2hWcArAP98wSPGA5yK2/8u2LQCAme1HfBkaAripaZvLuT1s9R05y+7+84rqI/YieoESos75Rnr2bdhuT2Fm3wfgFxDtiZ8RQjg5y34hhDGyvOtpF6l4u0WaKMzXdUW0EzN7LKIZwJ2IdtUzsYfbw07u+6z7nL0f5do1/OXpTYjWzG8D8MLtGA94VDO1rT3RVrZo/+drC+eLRFwuvBDAAnZgHvFAbw8zfEeqj7hC0AuUEHU+5j8306A/0n9uNkfqssUn8r4OMXfJM9xlaDsc9597SbIFREtaoH5dm7YT18Y/FHFi8acubtEuOuczj9iKvdgednLft9rnQYj1c+flOLfBr/nNiDmM/h8A/8JfHrbLXmwrU9cUQlhFNEpY8nu/kb3y/ZLMI6ai1jPygGwPM35Hqo+4QtALlBB10mTXL9+YYdzMlhElKusA/vRSF+xiYmavREzy99eIXwzHzrNLE1/sPy/3l4aNfIn/5Ot6r//8yobtn4Y4+vqhy9mBz8zmEOUpJYBf38Eh9mJ72Ml932qfr9qwzWWDmXUBvB0x8vTfAbxoBy/ZiSf5z73UVjZr/3uyPSTM7EmICXg/HkK4eYeHecC1h218R6qPuFIID4BkVPqnfw+kf7iCEun6df24X9eHARw6z7ZPAtBtWP9MxESAAcCTd/uadlAHn9107QAeguiMFQD8KK3fhzhKumcT6SK+PAUA77xS2gNmS6S7rfuOOOJ8WSXJnKEeeoj5wAKiVK2Y4ZhPbVhnAP6dH+c4gH27fe3brIdtt39cJol0t1MPG7b9dd/2h/dKe9jmd+QV0UfoX4D5TRJCOGb2cMSO7moA70C0Gn0S4uTWjyN+Id63eyW8cJjZixEn+U4A/CKatfe3hRBu8u1vRnzZuBlxXgwAfA5yjoofDyH854tW4IuEmb0KwL9FjEDeCuAcgIcDeA7iF9+7AHx9CGFI+zwPcQS+D+AtAE4CeC6iq9TbAXxzuIw7WDP7YwBfCuC5IYR3brLNzbjM24Pfx+f5r9cA+ArEke8/9nUnQgiv2LD9tu67mb0MwGsR/0B6K+Lk+ucDuB7Az/Lxd4vt1IOZvRHASwCcAPB/o3ly+82BIhBmFhD7z79AlLHtR4zoPw7Rze7rQwj/+4Je1A7YZj3cjB20fzP7WQD/2vd5O2Li4Rcg5pF6WQjhdRf0onbAdp8L32cfgLsAdABcF7aY/3QZtYdtfUf6PnuyjxAb2O03OP3TvwfiPwA3INpa343YkX0aceLolqNPl9s/RGe5cJ5/N9P23wHgfyJaza4gjrLdjtjhT40oXi7/EK2H34zoqnQaMUHicQB/iJjrwzbZ7ymIL1enEKWdfwfghwC0dvua7md9fJbf+zu2upa90B5meAZuuxD3HcDXAng/4sv5KuIfji/e7evfST0gvjCcr9941Ybj/4xf/12If1iu+fP2OgAP2+3r32E97Lj9A3ixt4FVbxPvB/A1u3399/O5+F7/7M0zHH+vtIfadyTtt+f6CP2r/1MESgghhBBCCCFmRCYSQgghhBBCCDEjeoESQgghhBBCiBnRC5QQQgghhBBCzIheoIQQQgghhBBiRvQCJYQQQgghhBAzohcoIYQQQgghhJgRvUAJIYQQQgghxIzoBUoIIYQQQgghZkQvUEIIIYQQQggxI3qBEkIIIYQQQogZ0QuUEEIIIYQQQsyIXqCEEEIIIYQQYkb0AiWEEEIIIYQQM6IXKCGEEEIIIYSYEb1ACSGEEEIIIcSM6AVKCCGEEEIIIWZEL1BCCCGEEEIIMSN6gRJCCCGEEEKIGdELlBBCCCGEEELMiF6ghBBCCCGEEGJG9AIlhBBCCCGEEDOiFyghhBBCCCGEmBG9QAkhhBBCCCHEjOgFSgghhBBCCCFmRC9QQgghhBBCCDEjeoESQgghhBBCiBnRC5QQQgghhBBCzIheoIQQQgghhBBiRvQCJYQQQgghhBAzohcoIYQQQgghhJgRvUAJIYQQQgghxIzoBUoIIYQQQgghZkQvUEIIIYQQQggxI3qBEkIIIYQQQogZ0QuUEEIIIYQQQsyIXqCEEEIIIYQQYkb0AiWEEEIIIYQQM6IXKCGEEEIIIYSYEb1ACSGEEEIIIcSM6AVKCCGEEEIIIWZEL1BCCCGEEEIIMSN6gRJCCCGEEEKIGdELlBBCCCGEEELMiF6ghBBCCCGEEGJG9AIlhBBCCCGEEDOiFyghhBBCCCGEmBG9QAkhhBBCCCHEjOgFSgghhBBCCCFmRC9QQgghhBBCCDEjeoESQgghhBBCiBnRC5QQQgghhBBCzIheoIQQQgghhBBiRvQCJYQQQgghhBAzohcoIYQQQgghhJgRvUAJIYQQQgghxIzoBUoIIYQQQgghZkQvUEIIIYQQQggxI3qBEkIIIYQQQogZ0QuUEEKIXcXMbjOzYGZP37D+Jb7+5ktcnuD/bryU592LbHZvH8jnNbNX+b43zXpcM3u6r79tp2UWQlw+6AVKCCEuc8zsJvqjn/+dNbO/NrOfMbPrd7ucu43/kfsqM3vebpflQmJmNzfc+9LMTpvZn5vZfzCzQ7tdzisVM3uet7un73ZZhBAXBr1ACSHE3mEE4F7/dwzAEoDPBfAKAH9nZl+6i2XbCWcAfAzA7RfoeE8H8BMAzvcC9TH/N7pA571U9JHv/30A9gP4QgA/CeBvzezRu1i2y4kTiPf/7m3ss+b7fLLhs+chtrun3++SCSEeEOgFSggh9g4fCiFc4/+OIr5AfRuA0wAOAPgdM5vf1RJugxDC74UQHhNC+LZLfN7H+L/PXMrzXgDeSvf/COIL1A8BGAC4DsBbzMx2tYSXASGE1/n9/3fb2OfPfZ9nXcyyCSEeGOgFSggh9ighhLUQwm8B+AFfdQ3OH30Re4QQwtkQws8D+C++6gkAvngXiySEEHsCvUAJIcTe520ASl9+Ylq50aTBzL7VzN5vZvf5+trLlpktmdmPmtlfmNkZM+ub2SfM7LVmdsNWBfBj/6mZrZjZSTN7r5k95zz7nNdEwsw+y8xeb2YfN7NVn/fzd16mJ/o2N5pZQJRRAcCLG+YM3UjH3NJEwswebma/Ymaf8jo4ZWYfMLPvNLPWJvukeUovMbN5nxPzMTNbN7NjZvYWM3vkVvVxP3gzLfP9r8wSzKwws+/3OVOnff0TNlzD55nZm8zsDjMbmNkJM3uPmX3jLIUwsweb2Rt8/76Z3WpmrzGz/Zts3zWz55jZr5nZ3/j5+mb2aTP77XR/L8J5NzWR2OIcUyYSaR2AF/uqn9jY7ny7/+C/f/g85/h23+4OM9Pfb0LsIu3dLoAQQoiLSwhhYGYnAFwNYF/TNmb2WgAvQ3zROoP8wpU+/ywA7wbwEF81RpSGPcL3e6GZfW0I4YMNx34dgO/zX0vEuUVPB/AMM/vBnV6Xmb0MwM8BSC8tqwC6AB7n/z7HzzNBnBe0BGARca7QmQ2Hm8x4zq8B8DsA5nzVGT/mU/3fC8zseSGE1U0OsQ/ABwF8HmL9lQCOAHgBgGeb2ReFEJrm0dwfWIrYdP8NwO8C+DrEejg3tYHZvwTwy8gDr0kW+uUAvtzM3gTgJSGEzerxEYgv8kcArAAIAG4E8MMAvs7MnhZC2Djn6MsBvJN+X/P9HgzgXwD4ZjN7qUdZN2Mn571QDBHb3X7E9rLqZdjIbyC+3D/RzB4fQvi7TY73Uv/5myGEcpNthBCXAI1gCCHEHsfivKcj/uvphk2eCOD7Ef+IOxxCOATgIIAP+f77AbwL8eXp9wF8PoD5EMISgIcC+C3f/n+Y2YEN5/5W5Jen1/jxDwJ4EID/7uuOYJuY2TcBeC3iy9PbATzWy7MI4FoALwTwlwAQQrgjhHCNnwuozxVK/+6Y4ZwPB/AWxD+G3w/gMSGEAwCWAXw34gvRPwPwC1sc5icR6+orvaxLAJ4G4E4AhwD89Oy1MDMPpuWm+/8NXp5/BWCf35+jAD4FAGb2ZOSXp7cDuMG3OQDg3yO+lLwQwFZzhl6D+LL51BDCMuK1Pw/RsOERAH6zYZ8VAG8E8CwAV4UQFkMI84jt8OcRB4F/1cwe3LDv/TnvBSGE8CFvd29NZdnY7ny7OwG8x7f59qZjmdkjAHwpYl2/8WKVWQgxG3qBEkKIvc93IEYZAODPGj5fAvDqEMJ/DCGcBqr5M8f88x9BHLV/B4BvCCH8VQhh7Nvd5iYP70L8o/s700HNzAC8yn/9zRDCj9Dx7wXwEsQXkYXtXIyZdQD8N//1zSGEbwohfNSPG0IId4cQfjuE8MPbOe4M/CjiH+CfBPDVIYSP+TkHIYRfRZ5r9lL/g7eJHoBnhxDeE0KYhBDKEMIfA3i5f/5cM+te4HJ/Fy1vdv9/IITwyyGENQAIIRwLIZz1z/8T4t8LHwTwLf4HP0IIKyGEnwLwat/ulWbWGOFEvO6vCiH8H9+3DCG8A8A3++fPtg0ukSGEm0MILw0hvDeEcB+tvz2E8EOIkZs5bPLSsdPz7hK/5j9f6O17Iyn69IGLEKEUQmwTvUAJIcQexCI3mtkrAPxfvvrTqEuiEhPkF5Im0hyOnwshhE22SfNsnk3rnoA4yg80RFb8WD+1xXk341kArkcs94/sYP9t4y+Daa7Pz6UXjQ28AVEuZwCev8mh3h5CuKVh/f+LGF3oIdfZjjGzlpk90sx+Gvnl7E9CCH/ZsPl9iC8jTcc5BOAZ/utPbyLR+6+IssglAF+9SZHe1nTdIYT3wSOd2LzONiO15adssc3FOO/F4J2Icr8jAL6GP/D5TsmJsvE+CSEuLXqBEkKIvcOX0eT0EsCtAH4GwDxiTpvnhRCGDfvdEkI40XRAi+YQKQnv75jZPU3/EOV0AMBmEp/vP4+laE0DH0KcT7UdkpPc31xCq/GHIc5lAYD3NW3g81Ju9l8/v2kbAH+xyb4jxNxdQJT47YQX0/0fA/g4gH+LKHP8GIBv2WS/D6eIYgOfh/hCGBCjhU1lPwOXS2Lz6755i3Kn407ta2aHzOzHzexDFs1NxnSNv+ebXbvFsXd03kuN13+SE26MqH0Fog39WUQJpRBil5GJhBBC7B1GAE76ckCctP4pAH8I4A0hhFOb7Hd8i2M+iJZnmavEcry0/aYvOWRwcc0Mx04c9Z8XKsHuLPC1b/XSdmfD9syUQQPR959NEq5ZYHOM0s/1CQB/gCihbIqaAVvf/3QdZ0IITQYIifNd91Z1lj6r7WtmjwXwXuT7DcRrWkds313El83FGY4983l3kTcA+DcAvsrMjrrMFcjyvbdscQ+FEJcQvUAJIcTe4UMhhKfvYL+tHOhYqbCf5sVcSLab3HW3k8H2dvn8m/HWEMJLdrDfLA6EF/OaN7ufb0R8efoI4vyzD/JLnJk9C8D/t8X+Oz3vrhBC+ISZvR/AlwF4EYDXuITyub6J5HtCPECQhE8IIcRW3EvLj93mvimysanEyg0TDm/zuPf4z4dsudWFhaM0W503yR23iupcTqTrmDezrSI157vurWR2KcpZ7evOel+E+HL3XDfd2BgBO4rzs63zPgB4g/9MMr4XIkba/jGE0GQAIoTYBfQCJYQQYlNCCLciv0R9wzZ3/4j/PGpmj9pkmydj+2qIP/Wfn2Nm121jv5Q7ZyeRh08hW4A/o2kDn+z/dP/1I03bXIb8FaJcDtj8uvcjJ+jd7Lq/bItzpM943+qFbIt5bv9si2Pu9LwXg+20u7cjtrPHmtmTkF+kFH0S4gGEXqCEEEKcj5v857/yhLqNuPPfflr11wCSA9orm7ZHNDnYLn+EOH+lhWiSMStJfnhgy60acMfA3/Vff9DMmqzXvxNxsn/AHpnsH0I4iWya8Up/SdzIKxHtxFcQ7eybeIGZPWzjSjN7GrKL3u/QR2ku11Ezu7phv8cjJtM9H9s978Vg5nYXQugDeJP/+rOITpYjxFxrQogHCHqBEkIIcT5ejRiBWQTwfjN7sZktpQ/N7AYz+y5EJ7avT+v9peNV/utLzey/pkS7ZnYUcVT9mQC2NTHeHetSjqd/bmZvM7PHUHkeZGbfZWav3bDrP/jPLzWzR27nnM5PIRpzXAvgD8zs0X6+nl9/Ot+vb2JVfrny44hRlM8H8BYzux4AzGzJzH4U+SX41VvMkRsCeLcn5YWZFWb2tcgvmn8YQvggbf9RRGMKA/DWlFfLzDpm9g2IxihbmVrs9LwXg9TuvtLMHrTllpGUEyq94P1PyskmhHgAoBcoIYQQW+LJb78C8Y/aI4gRqTNuK72G6Ib3q4iW12HDvr8N4Jf8138D4ISZnUS0VX8JgFdgB3NQQghvRXyJKgF8E4CPmtk5L89dXp7P2bDbzYhJcA8B+JiZHTOz2/5/9u493rK6rv/4+xMXxVQQTUG8UIiCYQojKooySKlFiJrmjzRFu1hmaRd/XrLCn/rz8qvEtFJTI1OTxBS8hyAo4CUY0FRQUScV8MpVuQrf3x9rHdhu9mG+M3OGfebM8/l4zGN31m1/955jzOux1vqu8c9dsg7jA0wPyzDb3eok51TVRRlmhntjhokWTsgNz11aEVprpyV5Zm74rr8x/h1enORlGSLn7bnhgbqz/FmGGfNOrarLMsTPcRl+n87NDc8aW3jP6zI8mPi6DN/1V6rq0nG/dye5Kn3f83q97ybyngyzY94zybeq6oKF37tZG7fWPpfk9IlFLt+DZUZAAbBO4xmVvTP8Q/pjGf5BeNsMzxv6XJLXZrin5EaXGrXWnpXhZvhPZ/iHb2V4Bs+vttamzxKtz5j+dhzTPydZm2H67yvH8bwmyR9PbX9Nhofw/muGSwBvl2FCiLun8z6s1tr7ktwnw1mCtRmmbb88ySlJfjfJI1trP9rQz7RctdbekGTfJO/IEL+3znCZ3fFJntBae/IiD9ldcG6S+2eIgUsyXH65NsNlavdvrV0w4z3fk+EM5fEZInWbDA+D/usMf+/fmt5nKd53qY3PWDswwyWg38sQbwu/d4tZuFz0giQf2qQDBNZbLf5QeQAAbm5VdXyGSTJe2VrbkPsEgU1IQAEALBPj/V5fHn+85wq7nw5WBJfwAQAsA+PkLK/NcJnr+8UTLE/OQAEAzFFVPSfDpBg7ZZiM5Mokq1prX5zrwICZnIECAJivHTJMKnFtktOSPEI8wfLlDBQAAEAnZ6AAAAA6CSgAAIBOAgoAAKCTgAIAAOgkoAAAADptPe8BsGWrqq8nuW2StXMeCgAAK9uuSS5trf3sxhxEQDFvt91uu+123HPPPXeZbVgrAAAgAElEQVSc90AAAFi5zj777FxxxRUbfRwBxbyt3XPPPXc844wz5j0OAABWsFWrVmXNmjVrN/Y47oECAADoJKAAAAA6CSgAAIBOAgoAAKCTgAIAAOgkoAAAADoJKAAAgE4CCgAAoJOAAgAA6CSgAAAAOgkoAACATgIKAACgk4ACAADoJKAAAAA6CSgAAIBOAgoAAKCTgAIAAOgkoAAAADoJKAAAgE4CCgAAoJOAAgAA6CSgAAAAOgkoAACATgIKAACgk4ACAADoJKCYu8+fd8m8hwAAAF0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB0ElAAAACdBBQAAEAnAQUAANBJQAEAAHQSUAAAAJ0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB0ElAAAACdBBQAAEAnAQUAANBJQAEAAHQSUAAAAJ0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB0ElAAAACdBBQAAEAnAQUAANBJQAEAAHQSUAAAAJ0E1BKoqrVVtXYJjnNYVZ1ZVZdVVauqIyfWPaKqTquqi8Z1793Y95vx/qvHYx8xtfykqmo92wIAwEq29bwHwKCq9kvy9iRfS/KPSS5P8qlx3a5Jjk1ycZJ/TnJpknPmMU4AANiSCajl4+AkleQprbXTptb9YpJbJvnT1to7bvaRJU9Jcqs5vC8AACwrAmr5uPP4ev56rtvkWmvfmMf7AgDAcuMeqE41eFZVfaGqrqyq86rqdVW1/Yxtt6+q51bViVX1raq6uqq+V1XHVdWDprY9fLy/6Gnjoq+P9xa1iXUvHtd9bGLd6olj7F5Vbx3HdHVVnT/+vPsin+VOVfXmqvpOVV1RVWdV1VNv4rPf6B4oAADYEjkD1e/IJH+U5IIkb0xyTZJDkzwwybZJrp7Yds8kL0vy8SQfSHJRkrsleXSSX66qQ1prHx63PStDID0myX2TvCbDvU6T61YnOSDJvyRZO65bmyRVtW+Sjya5TZLjknwxyR5JnpTk0Ko6qLV2+sLAqur2SU5L8nNJThn/7Jzk9Un+c0O/HAAA2BIIqA5V9eAM8fTVJA9orV04Lv/zJB/LECD/M7HL2Unu3Fr7/tRx7pLkM0leneTDSdJaOyvJWeNEEfdNcmRrbe3EbmeNM90dkOSo1tpJE8erJG9NctskT26tvX1i3ROTvDPJ26rq3q2168ZVL88QT0e21v54YvvXJfnken413arqjEVW7bGp3hMAAJaaS/j6LFxe97KFeEqS1tqVSV4wvXFr7ZLpeBqXfyvJMUn2qKq7LcG4HpwhQD45GU/jex2d4ezSvZLsnyRVtU2GM1OXJTliavvTM8wCCAAALEJA9dlnfD15xrpPJPnx9MKqekhV/XtVfbOqrlq4dynJH46b7LKE4zpxkfULy/ceX/fIMJveWa21S2Zsf9ISjGmm1tqqWX9iOnYAADYjLuHrszBRxHemV7TWrq2qH0wuq6rHZjjTdGWS4zNc+vejJNflhvuZbrGE47pgkfULy3eY2v5Gn2P07SUYEwAArFgCqs/C2Zo7ZXjQ7fWqaqskt09y3sTil2SYVOL+rbWzp7Z/Q4aAWspx7bTI+p2ntpv8HLMsdhwAACAu4eu1ZnydFT4PzY1D9B5Jvjgjnn4q4/1IS+TM8XX1IusXli+M/5wklye536zp12/iOAAAQARUr6PG1z+vqh0XFlbVLTPMajdtbZLdq+rOE9tWkr9Kcu8lHNepSb6UZP+qevzkivHnhyX5cobJJNJauybDRBG3ydQkElV1/wwTTAAAAItwCV+H1tqpVfXaDBNAfL6qjskNz4G6KDe+B+nVGZ6rdGZVvXvc9iEZ4ul9SQ5ZonG18QG4xyc5uqqOzXCW6V4Znit1WZKnTExhniQvTHJQkueM0bTwHKgnJvlghmdVAQAAMzgD1e/ZGQLqkiTPSHJYko8k+cX85EN001p7Q4apzy9I8tQMZ3a+meGhu2uyhFprn06yb5J3JNkvyXMzTG/+b0n2HddPbv/9DDH3zxlm5XtOkvsl+f0M4QcAACyiWmvzHgNbsKo6Y9s77bbPVd8+d95DAQBgBVu1alXWrFmzZnyUzgZzBgoAAKCTgAIAAOgkoAAAADoJKAAAgE4CCgAAoJOAAgAA6CSgAAAAOgkoAACATgIKAACgk4ACAADoJKAAAAA6CSgAAIBOAgoAAKCTgAIAAOgkoAAAADoJKAAAgE4CCgAAoJOAAgAA6CSgAAAAOgkoAACATgIKAACgk4ACAADoJKAAAAA6CSgAAIBOAgoAAKCTgAIAAOgkoAAAADoJKAAAgE4CCgAAoJOAAgAA6CSgAAAAOgkoAACATgIKAACgk4ACAADoJKAAAAA6CSgAAIBOAoq522uX7ec9BAAA6CKgAAAAOgkoAACATgIKAACgk4ACAADoJKAAAAA6CSgAAIBOAgoAAKCTgAIAAOgkoAAAADoJKAAAgE4CCgAAoJOAAgAA6CSgAAAAOgkoAACATgIKAACgk4ACAADoJKAAAAA6CSgAAIBOAgoAAKCTgAIAAOgkoAAAADoJKAAAgE5bz3sA8PnzLsmuz//AvIfBzWztKw6e9xAAANabM1AAAACdBBQAAEAnAQUAANBJQAEAAHQSUAAAAJ0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB0ElAAAACdBBQAAEAnAQUAANBJQAEAAHQSUAAAAJ0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB0ElAAAACdBBQAAEAnAQUAANBJQAEAAHQSUAAAAJ0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB0ElAAAACdVnxAVdXhVdWq6vB5j2VjVNVR4+fYdT32WVtVazfZoAAAYAuz4gMKAABgqQgoAACATgIKAACg00YHVA2eXVVfrKorq+q8qnpdVW0/6x6ccflzq+rEqvpWVV1dVd+rquOq6kGLvEerqpOqaqeqetP4HtdO3tdUVfeoqndV1UVV9aOqOq2qDl7H2O8yjvVrVXVVVf1gHMe+M7Y9YhzH6qp6fFV9pqour6oLq+qdVbXLenxn19+XVVUHj2P90Tj2Y6pq93Xs/4yq+u/x+/5OVb2xqrZfj/e/RVU9v6o+N36GS6vqE1X16zO2fe841j+cse4l47o39b43AABszrZegmP8fZLfT3J+kjcmuTrJo5M8IMk2Sa6Z2n7PJC9L8vEkH0hyUZK7jfv8clUd0lr78Iz32THJp5L8MMl/JLkuyXeSZAyOTya5fZIPJTkryT2SvHf8+Uaqap8k/zke9yPjMe+Q5DFJTqmqx7bWPjhj12eOYz0uyclJHpjkiUnuW1X3a61dtcj3NMvjkvxykvckOSnJ/ZL8WpIDq+rBrbUvzdjnVUkemeR94/gPTPI74+d9+LresKq2zfB5D0hyToa/v1sleXySo8fP8MKJXZ6e5Mwk/6+qTmmtnTke56AkL0zyxSR/tB6fGQAANlsbFVBV9dAM8fTlJA9srV08Ln9hko8muXOS/5na7ewkd26tfX/qWHdJ8pkkr04yK6Duk+Rfkzy9tfbjqXV/nyGentNae83EMQ/NEFHT4946yb8nuXWSA1trJ0+su3OS/0ry5qradUYQPSrJvq21/57Y5x1JDkty6HjcXockOaS19v6JYz07yZFJ/iHJQTP2eVCS+7TWvjHxWU7MEF0PaK19Zh3v+acZ4ulDSR698F1W1YszfP8vqKr3t9ZOS5LW2oVVdViGWDx6DM9bJXlbkquS/Hpr7fJ1fdCqOmORVXusa18AAFguNvYSvqeOry9biKckaa1dneQFs3ZorV0yHU/j8m8lOSbJHlV1txm7Xp3kz6bjaQyvX0ry9SSvmzrmsRn+4T/t4CS7JXntZDyN+5yf4SzPTpkdMH83GU+jfxpfHzBj+5ty4mQ8jV6X5KtJHl5Vd5+xz/9ZiKdxvD9O8s/r8f5PT9KS/Mnkd9la+26Sl4w//vbkDmNM/UWS3ZO8IUM87ZTkj1prX+h4TwAAWBE29hK+vcfXU2as+1SS6TNFSZKqekiSZyfZL8kdk2w7tckuSb4xtWzt+I/8RcfQWrt2xvqTMpxxmbTf+Hr3qjpixj4L9yDtmWT6Mr7TZ2z/zfH1djPW3ZQbxV1r7dqqOiVD4O2dG5/B2+D3r6rbZLjU77zW2jkzNjlxfN17xrpXJlmd5DfGn/+ttdZ971NrbdUiYzojyT69xwEAgHna2IBamLjgO9MrxhD4wfTyqnpshjNNVyY5PsPZlh9luKdpdYbYucWM9/r2+o7hJva7/fj6hEX2WXDrGcsunrFsIRS3Wsfxpq1rzLMmhtiY91843gWLrF9YvsP0itZaq6r3ZLj/KhkuMwQAgC3KxgbUpePrnZJ8bXJFVW2VIVTOm9rnJRkux7t/a+3sqX3ekBufLVrQFll+ycQYZtnpJvY5tLV23CL73RzWNeZLFlm/oRaON+s7SZKdF3vfcaKOv84w6cf2Sd403nN15RKPEQAAlq2NvQfqzPF1/xnrHpTZgXaPJF+cEU8/tchxuscwRtu01TOWfWp8fegGvN9SulEsjp9h4Xs4c3r9xmitXZbhjN8ui0yVfuD4umZqTLdIcnSSn07yv5K8PMOkHs5CAQCwRdnYgHrr+Prnk88hGqfK/r+L7LM2ye7jbHcL21eSv0py7/UdwDj5xPFJfjbJsybXjbPwzTqjdWyGkPiDqvqVWcetqv2q6lbrO5719PCq+tWpZc/KcP/Tx1pr0/c/LYW3JKkM05JfH5xVdYcME0UsbDPprzPcF/Wq1tp/Zvi7OjXJM2Y9OwoAAFaqjbqEr7V2clW9McnvJvlCVb07w3OfDslwGdj5Ge5tmvTqJK9PcubE9g/JEE/vG/ddX3+Q4TlQR1bVI5J8NsOZrsfOOmZr7ZqqelyG5yF9oKpOy/DsqMuT3DXJvkl+LsMlbeuconsjvC/Je8Z7i85Nct8kv5LkwgzPm9oU/jrDs6cOTfLZqvpghmnJn5BhQo9XtdaunxSkqh6TIeo+neRFyfX3tx2W4Tv7p6o6vbX2tQAAwAq3sWegkuE5UH+S4QG3v5dhlraPZpha/La54T6pJElr7Q1JnpZhwoKnJnlShlnkHpipS8d6tda+kuGSwXdniLFnZwihx2R4QO6sfT6XIVhemeGenqeNn2VVhkvnfjPJjaZbX2L/kSHy7jqO+SHjsv0WmSVvo41TzP9Skj8fF/1hhr+HryT5jdba8xa2HaeTf0uGGD5satrzb2aYEv22Sd45nnUEAIAVrVpbbG6GjTzwcI/Nl5O8s7V22CZ5k81UVR2e4dlNT2utHTXf0cxXVZ2x7Z1222fnw1+z7o1ZUda+4uB5DwEA2IKsWrUqa9asWbPY43V6bfQZqKraaZwAYnLZrXLDBAPv2dj3AAAAWA42dhrzJHlOksOq6qQMl+XtlOSgJHdJ8qEk71qC9wAAAJi7pQio4zPcS/SIJDtmeKjrl5P8XZIj26a6RhAAAOBmttEB1Vo7IckJSzCWLcZ439NRcx4GAACwnpZiFj4AAIAtgoACAADoJKAAAAA6CSgAAIBOAgoAAKCTgAIAAOgkoAAAADoJKAAAgE4CCgAAoJOAAgAA6CSgAAAAOgkoAACATgIKAACgk4ACAADoJKAAAAA6CSgAAIBOAgoAAKCTgAIAAOgkoAAAADoJKAAAgE4CCgAAoJOAAgAA6CSgAAAAOgkoAACATgIKAACgk4ACAADoJKAAAAA6CSgAAIBOAgoAAKCTgAIAAOgkoAAAADoJKAAAgE5bz3sAsNcu2+eMVxw872EAAMA6OQMFAADQSUABAAB0ElAAAACdBBQAAEAnAQUAANBJQAEAAHQSUAAAAJ0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB0ElAAAACdBBQAAEAnAQUAANBJQAEAAHQSUAAAAJ0EFAAAQCcBBQAA0GnreQ8APn/eJdn1+R+Y9zAAANjE1r7i4HkPYaM5AwUAANBJQAEAAHQSUAAAAJ0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB0ElAAAACdBBQAAEAnAQUAANBJQAEAAHQSUAAAAJ0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB0ElAAAACdBBQAAEAnAQUAANBJQAEAAHQSUAAAAJ0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB0ElAAAACdBBQAAEAnAQUAANBpWQVUVe1aVa2qjpr3WAAAAKYtq4Cap6o6Yoy31fMeCwAAsDwJKAAAgE4CCgAAoNNmE1BVdauqekFVnVVVP6qqH1bVJ6vqsBnbrh4vxzuiqu5XVR+oqour6vKqOrmqHjy1/dokfzX++LFx31ZV7eYawzo++/X3hlXVPavq6Kr6blVdN3nJYVXtXlVvrarzqurqqjp//Hn3Gce8TVX9RVV9vqourarLquqr47FXzdj+gVV1TFV9ezz2N6vqDVV1597PAQAAm7ut5z2AHlW1Q5ITk+ydZE2St2SIv0cmeUdV/Xxr7UUzdr1/kv+d5JNJ3pTkbkl+LckJVXW/1tqXxu2OTPKYJAck+Zcka+cwhh67Jfl0ki8neXuS7ZJcOo5v3yQfTXKbJMcl+WKSPZI8KcmhVXVQa+30cdtK8uEkD54Y14+T3DXJ6iSfSHLGxGd/WpJ/SnLVeOxvJtk9yW8nOaSqHtRa+8Z6fA4AANgsbRYBlSFw9k7yvNbaqxYWVtUtk7w3yQur6pjW2llT+x2c5GmttaMm9nlGktcneXaSZyZJa+3IMZAOSHJUa+2km3sMnfZP8vLW2gsnF45B9NYkt03y5Nba2yfWPTHJO5O8raru3Vq7LsleGeLpva21x04d66eSbD/x8z2TvCFDVB7QWjtvYt3Dkxyf5DVJfuI406rqjEVW7XFT+wEAwHKy7C/hq6rbJ3lyktMnwyVJWmtXJnlekkryGzN2P3UyXEZvyXC25QGb0xhG30ny4hnLH5whRD45GU/j+I5OckqSe2UIsElXTB+otXZda+2iiUW/n2SbJM+ejKdx2xMznJE6pKpus56fBQAANjubwxmofZNslaRV1REz1m8zvu45Y93p0wtaa9dU1XeS3G4zG0OSfLa1dtWM5fuMrycust+JGeJp7yQfz3B531lJDququyc5NkNknd5au3pq3/3G1wPGywSn3THDd3PPTFz2N621dqP7qpLrz0ztM2sdAAAsN5tDQN1+fN13/LOYW89YdvEi2/44wz/6N6cxJMm3F1m+cMndBYusX1i+Q5K01q4dL7/7yySPT/LKcf1lVfUvSV7QWvvhuGzhsz93HWOb9dkBAGBFWfaX8CW5ZHx9dWutbuLPgSt8DEnSFlm+ML6dFlm/89R2aa1d1Fr749baXXPDhBDnJHlWkn+ccezt1/HZT96gTwQAAJuRzSGgPpPkuiQP3cTvc+34Ouus0M01hg115vi6epH1C8vXzFrZWju3tfbmDJNo/DDJoROrPzW+LtfPDgAAN5tlH1Ctte9mmLL7/uNzi2502WFV7VZVP7uRb/WD8fVucxzDhjo1yZeS7F9Vj59cMf78sAxTn58yLvvZqvr5Gce5XZJb5Ccnl3hdkmuSvHqcke8nVNW2VSWuAADYImwO90Alw2Vluyf5P0l+s6pOyTAj3Z0zTNywb5LDknx9I97jYxnOMr28qvZKclGStNZeejOOYYO01lpVPTXDlOJHV9WxGS7Hu1eG51tdluQp4xTmSXLfJO8ZJ3D4fJLzk/xMhjNP2+SGe6LSWjunqp6eYebAL1TVhzPE2DYZYvOhSb4X05EDALAF2CwCqrV2aVUdkOR3M0wV/mtJbpkhYL6S5I8zxMPGvMfZY4T8WYZnM91yXPXSm2sMG6O19ulxlrwXJfnFJIck+X6Sf0vykqkH9p6e5OUZLtl7VIYzT9/LMIve37XWPjR17LdV1WeT/GmSA5M8IsmPMoTXMUmO3oQfDQAAlo1qbbF5CWDTq6oztr3TbvvsfPhr5j0UAAA2sbWvOHhu771q1aqsWbNmzWKP1+m17O+BAgAAWC4EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB0ElAAAACdBBQAAEAnAQUAANBJQAEAAHQSUAAAAJ0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB0ElAAAACdBBQAAEAnAQUAANBJQAEAAHQSUAAAAJ0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB0ElAAAACdBBQAAEAnAQUAANBJQAEAAHTaet4DgL122T5nvOLgeQ8DAADWyRkoAACATgIKAACgk4ACAADoJKAAAAA6CSgAAIBOAgoAAKCTgAIAAOgkoAAAADoJKAAAgE4CCgAAoJOAAgAA6CSgAAAAOgkoAACATgIKAACgk4ACAADoJKAAAAA6CSgAAIBOAgoAAKCTgAIAAOgkoAAAADoJKAAAgE4Cirn7/HmXzHsIAADQRUABAAB0ElAAAACdBBQAAEAnAQUAANBJQAEAAHQSUAAAAJ0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB0ElAAAACdBBQAAEAnAQUAANBJQAEAAHQSUAAAAJ0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB0ElAAAACdBBQAAEAnAQUAANBJQAEAAHQSUAAAAJ0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB02iIDqqpOqqo273HMS1WtrqpWVUdMLd+ivxcAAFiXLTKgNjdVtbaq1s57HAAAsKXbet4DmJOnJLnVvAexDPleAADgJmyRAdVa+8a8x7Ac+V4AAOCmrahL+Krq0VV1QlVdUFVXVdX5VXVyVT1zarsb3etTVdtW1bOq6oNV9T/j/hdW1Uer6pcXeb+1459bV9Wrq+qbVXVFVZ1VVY8Zt9m6ql5YVV+pqiur6qtV9azOz7N6HOfdk9x9vG9p4c9R4za7Tv484xjd9zUt8r1cf79UVe03fh+XVNVlVfWRqrp/z7EBAGAlWDFnoKrqd5O8Icm3k7wvyfeT3DHJLyR5WpJ/WMchdkzymiSnJTk+yfeS7JzkkCQfrKrfaa29acZ+24zb75jk2CTbJjksybur6hFJnpnkgUk+lOSqJE9I8tqq+l5r7eh1jGltkhcnec7485ET685ax75L7YFJXpDko0n+Psk9kjwuycOq6hGttU/czOMBAICb3YoJqCTPSHJ1kvu21r47uaKq7tCx/0VJ7t5a+9bUvtsnOTXJq6rq7a21K6b2u3OSNUlWt9auGvf51yQfT/KuJF9Nsldr7eJx3d8mOSfJ85PcZEC11tYmOaKqDh9/PqLjc2wqj0ryh6211y0sqKpDk7w3yVuq6l6ttesW27mqzlhk1R5LO0wAANh0VtQlfEl+nOSa6YWtte+va8fW2lXT8TQuvyTJW5LcLsm+i+z+nIV4Gvf5RJKvj/s8byGexnVfyxBk96mqrdY1rmXk3EydxWutHZvk5Axnox46j0EBAMDNaSUF1NszzCD3hfF+pMdU1c+szwGq6uer6qiq+tp4L1Mb7wn6m3GTXWbsdnFr7aszlp8/vs4683Jekq2S7LQ+45uzTyxyhumk8XXvm9q5tbZq1p8MZ+MAAGCzsGIu4Wut/W1VfT/DPUd/lOG+oVZVJyd5bmvt9Jvav6oelOTEDN/JCUmOS3JpkuuS3C/JoUluMWPXSxY55I/Hcc1a/+PxdZubGtMy851Fln97fN3+5hoIAADMy4oJqCRprb01yVuraockD07y2CRPT/KRqtpz+t6oKS9Ksl2SA1trJ02uqKoXZAio5WjhrNBif5c7LNH73GmR5Qtn0RYLSQAAWDFW0iV812utXdxa+2Br7XeSHJVhhrx13aNzjyQXTsfT6IClHeF6uzbDJX+zXDS+3nV6RVXdNsk9l2gM+1fVrN+X1ePrmUv0PgAAsGytmICqqkdV1ayzMHccXy9fxyHWJtmxqn5h6ri/leSRGz/CjfKDJD9TVdtNr2itXZbhPqKHVNW9F5aPE1T8bYazakth9wyXR15vnIXvgAwTTJjGHACAFW8lXcL3ziRXVtUpGWKoMpx12jfDRA4fXcf+R2YIpVOq6t8zXJJ2/yT7JzkmyeM3zbC7nJDhc3y4qj6e4XlSn22tvW9c//+SvDnJqVX1riRXJjkwwz1Wn01y3yUYw4eT/M34UOHP5obnQF2Z5LduagpzAABYKVbMGagMz1X6ZJJ9MpwpeVqGgHhehvuabjS9+aTW2oczPDT3i0memOS3MoTKgUk+sOmG3eWlSV6fZLcMD7N9SZJfW1jZWntLkt/OMPPfU5P8eoYHAj8kycXTB9tAn85wud4tkjwryS9nmHTjYa21jy/RewAAwLJWrbV5j4FlrKpWJ/lYkhdvigf5VtUZ295pt32u+va5S31oAAC43qpVq7JmzZo146N0NthKOgMFAACwSQkoAACATgIKAACg00qahY9NYHwuVs17HAAAsBw4AwUAANBJQAEAAHQSUAAAAJ0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB0ElAAAACdBBQAAEAnAQUAANBJQAEAAHQSUAAAAJ0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB0ElAAAACdBBQAAEAnAdQsRCAAABWiSURBVAUAANBJQAEAAHQSUAAAAJ0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwHF3O21y/bzHgIAAHQRUAAAAJ0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB0ElAAAACdBBQAAEAnAQUAANBJQAEAAHQSUAAAAJ0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB0ElAAAACdBBQAAECnrec9APj8eZdk1+d/YMmPu/YVBy/5MQEA2LI5AwUAANBJQAEAAHQSUAAAAJ0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB0ElAAAACdBBQAAEAnAQUAANBJQAEAAHQSUAAAAJ0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB0ElAAAACdBBQAAEAnAQUAANBJQAEAAHQSUAAAAJ0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB0ElAAAACdBBQAAEAnAQUAANBJQG2GquqkqmpTy1ZXVauqI+Y0LAAAWPHmElBVtev4j/2j5vH+AAAAG8IZKAAAgE4CCgAAoNPNHlDjPTpfH3986ngp38Kfw8dtrr+fp6oeUFUfqKoLx2W7ThzrLlX1uqr6WlVdVVU/qKrjqmrfRd5766p6ZlV9qqourarLq+rMqnpWVXV/Fwv3IFXVNlX1l1X11aq6sqrOqarfmdju96rqv6vqiqr6VlW9eNb7VNXhVfXu8XNcMY7t1Kp6cu+Y1jHe3avqrVV1XlVdXVXnjz/vPrXdM8bP9TtTy58+Lr+8qm4xte4z42ffbinGCgAAy9nWc3jPk5LskOTZST6b5L0T686a2na/JC9IckqStyS5Q5Krk6Sq9knyn0l2TPKRJP8xrn9MklOq6rGttQ8uHKiqtknyviSPTPKlJO9IcmWSA5O8NskDk/zmen6Wd477fTDJNUken+SNVXVNkl9I8tQk709yQpJHJ/nLJJcneeXUcf4xyReTfDzJBUlun+RXkvxrVd2rtfYX6zmu640x+dEkt0ly3Pg+eyR5UpJDq+qg1trp4+YnjK8HJfmnicM8fHzdLsPfyUnjsbdPsk+ST7TWrtjQMQIAwObiZg+o1tpJVbU2Q0Cd1Vo74iY2f0SS32utvWFyYVVtneTfk9w6yYGttZMn1t05yX8leXNV7dpau2pc9ecZ4ul1SZ7TWrt23H6rJG9M8vSqOqa1dux6fJy7JdmrtXbxeKy/SXJOklcnuTjJL7TWzhvXHZHk3CR/VlV/01r78cRx9mqtfXXqM26b5ENJnl9Vr184zvqoqkry1iS3TfLk1trbJ9Y9MUMAvq2q7t1au661dm5VfSPJw6uqWmsLM/09PMmJSVZniKuTxuWrk2w1rlvXWM5YZNUe6/u5AABgXpb7PVBnTcfT6OAkuyV57WQ8JUlr7fwkr0qyU4Z/7Ge8bO5ZSb6d5I8X4mnc/tokf5qkZTgrsz6evxBP47G+luFs2Q5JXjIZPeN278twlmyXqTH/RDyNy65O8vcZIveg9RzXggdnCJRPTsbTePyjx7HeK8n+E6tOTPIzSe6TJFV17yQ7JzkmyZqpsSz83ycEAAC2APO4hG99fGaR5fuNr3df5LlHC/f27Jnh8rp7Zrgs7itJXjScmLmRK8bt18fpM5adP77OOuOyEFR3SfI/Cwur6m5JnpchSO6W4VK5Sbtkw+wzvi52hujEDPG0d4bLBxeWHT6O5XO54fK9E5LsmuRPquo2rbXLxnU/zOJ/T9drra2atXw8M7XPrHUAALDcLPeA+vYiy28/vj5hHfvfemr73ZP8Vcf2XVprl8xYvHBp3k2t22ZhQVX9XIYAuV2ST2S4r+uSJNdmCJanJvmJiRvWw/bj6wWLrF9YvsPEssn7oF49vn6rtfblqjohyf9OckBV/VeSn0/ywanLEQEAYMVa7gHVFlm+ECeHttaO6zjOwvbvaa09buOHtaT+JEPgPa21dtTkiqo6LENAbaiFz73TIut3ntourbXzq+pLGSLpFhnuc1q4L+yUDJN4/GKG+6qSjvufAABgpZjXPVAL9yBttYH7f2p8fWjn9udkmNThQeNsfMvJPcbXd89Yd8BGHvvM8XX1IusXlq+ZWn5ChrNxv5/h7NQJSdJauzzDd39QfvLSPgAA2CLMK6AuynB26W4buP+xSb6a5A+q6ldmbVBV+1XVrZJkvMTstRnOuPzdrGcWVdXO44QJN7e14+vqyYVV9cgkv72Rxz41w5Tt+1fV46eO//gkD0vy5QxnliYtnFV6wdTPC//3XhmmZf9BhqnoAQBgizCXS/haaz+sqk8neWhVvT3DP+KvTXJca+1zHftfU1WPy/D8pw9U1WkZniF1eZK7Jtk3yc9lCKbLx91ekuS+SX4vySFVdWKGSR3umOHeqIdkmOr8i0v2Qfv8Q5KnJXlXVb17HNNeSR6VYar2J27ogVtrraqemuT4JEdX1bEZzsbdK8Pzsi5L8pTW2nVTu34syXUZvptzpqZQPyHJERlm6jtmYqpzAABY8eZ5D9RvZpik4FFJDktSSb6VYea3dWqtfa6q7pvhHqJfzRAh12WYGOHMDJNFfH9i+2uq6jFJnpxhlrlfzXCZ2veSfD3JXyT5iam+bw7j5zgwyUszPDx36wxndR6X4bLDDQ6o8fifHh+m+6IM9y4dkuF7+bcMU61/acY+F1bVWRlmx5u+x+nTSX6U5KdnrAMAgBWtnEBgnqrqjG3vtNs+Ox/+miU/9tpXHLzkxwQAYPO0atWqrFmzZs1ij9fptdwfpAsAALBsCCgAAIBOAgoAAKCTgAIAAOgkoAAAADoJKAAAgE4CCgAAoJOAAgAA6CSgAAAAOgkoAACATgIKAACgk4ACAADoJKAAAAA6CSgAAIBOAgoAAKCTgAIAAOgkoAAAADoJKAAAgE4CCgAAoJOAAgAA6CSgAAAAOgkoAACATgIKAACgk4ACAADoJKAAAAA6CSgAAIBOAgoAAKCTgAIAAOgkoAAAADoJKAAAgE4CCgAAoJOAAgAA6CSgAAAAOgkoAACATgIKAACgk4ACAADotPW8BwB77bJ9znjFwfMeBgAArJMzUAAAAJ0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB0ElAAAACdBBQAAEAnAQUAANBJQAEAAHQSUAAAAJ0EFAAAQCcBBQAA0ElAAQAAdBJQAAAAnQQUAABAJwEFAADQSUABAAB0ElAAAACdBBQAAEAnAQUAANBJQAEAAHQSUAAAAJ2qtTbvMbAFq6ofbLfddjvuueee8x4KAAAr2Nlnn50rrrjiwtba7TfmOAKKuaqqq5JsleSz8x7LZmiP8fWcuY5i8+S72zC+tw3nu9swvrcN57vbcL67DbM5fG+7Jrm0tfazG3OQrZdmLLDBPp8krbVV8x7I5qaqzkh8dxvCd7dhfG8bzne3YXxvG853t+F8dxtmS/re3AMFAADQSUABAAB0ElAAAACdBBQAAEAnAQUAANDJNOYAAACdnIECAADoJKAAAAA6CSgAAIBOAgoAAKCTgAIAAOgkoAAAADoJKAAAgE4CiiVXVXepqrdU1flVdVVVra2qI6vqdut5nB3H/daOxzl/PO5dNtXY52kpvreq+qWq+puqOqGqLqyqVlWnbMpxLwcb+91V1U9X1ZOq6h1VdU5V/aiqLquq06vqT6tq2039GeZliX7vnltVHxz3/WFVXVpV/11Vf+t/r+t1zIdV1bXj/25fupTjXU6W6HfupPF7WuzPLTflZ5iHpfydq6r7VNVbq+qb47G+W1UnV9VTNsXY520J/huxeh2/bwt/7rqpP8vNbQn/Tbd/VR077n9lVX1j/O/GozbV2DclD9JlSVXVbklOS3LHJMcmOSfJA5IcmORLSR7SWvtBx3FuPx7nnklOTPJfSfZIcmiS7ybZr7X2tU3xGeZhCb+392b4jq5Mcm6SvZKc2lrbfxMNfe6W4rsb/x/4h5JcmORjGb67HZMckmSn8fgHtdau3EQfYy6W8Pfu3CQ/TPLZJN9Jsk2SvZMckOTSJKtba2duis8wD0v1vU0d8zZJPpfkDkluneRlrbUXLeW4l4Ml/J07KcPv14sX2eSlrbUfL8WYl4Ol/J2rqsOTvCnJ5Unen2Rtkh0y/Pfi/Nba/1ri4c/VEv03Ytckhy+y+j5JHpfkC621vZZk0MvEEv7v9feT/EP+f3v3H3tVXcdx/PkGg8QIJcSavxgK1BjFahVqZNRi6WyyiGym45vDapVsRX84a8s/LP9IiVZ/JDUKtJWyBW5mavkDLXIGizAWmC6xjMRfGCnWt3j3x/tz9XZ3v3C+937OPefe7+uxnZ19z7n38/183jv3nvs5n1/wIrAJ+CtwChG3ScBX3P1rZZShNO6uTVu2DbgTcOCKluOr0/HvFkznhvT61S3HV6bjd1Rd1prG7SxgLjAemJHe+6uqy1f32AHzgU8AE1qOTwa2p3RWVV3WOsYuvf61Ixy/PKVze9VlrWPcWt67jqjAX5XSuKbqctY5dsB98ROm+jL1WdwWAP8BdgBvbHP+NVWXta6xO0L6P07prKy6rHWMHfFA7QBwCJjTcu4txAPfl4CJVZd3NJtaoCQbM5sJPEY8zTrD3Q83nZsM7AMMmO7uLx4hneOAp4HDwJvc/WDTuXHpf8xI/6PvW6Fyxa1NujOAPzPALVBlxa7lf1wM/Ai4zd0/3HWma6JHsZtC3DgfdfdZXWe6BsqIm5ldCGwGLgWOAX7AALZA5YxdowXK3a20DNdE5rjdDywE5rn7H0rLdE2U/T2Xess8SfxeOdndn8+R7zrI+JvuJODvwE53f1ub8zuJVrxpPsqW+yppDJTk9P60v6v5gwaQKkG/JppqFxwlnbOAY4kf/gebT6R070p/Luo6x/WQK25jUS9iN5z2A9MdKOlF7BoVzp1dpFE3WeNmZtOB7wGb3f2mnBmtoezXnJldZGZXmtkXzew8M5uYL7u1kSVuaTziQmAbsMvMFpnZlyzGeX4gPaAcNGV/zw0BE4GNg1R5SnLFbj/xUHy2mf3fgzQzmw3MAnb0U+UJVIGSvOak/SMjnP9T2s/uUTr9YqyVN6dexO6ytL+jizTqKHvszGyFmV1tZteZ2Z3AemAvcGXn2ayd3HFbS9yLP9NNpvpEGZ/XnwDXAtcDtwNPmNlHO8tebeWK2zubXn9P2r4BXAf8EthhZmd2kc86KvsesSLtb+jw/XWWJXYeXd0+R3zPbTez9WZ2rZltILrI7wKWZchvTx1TdQZkoExJ+xdGON84fnyP0ukXY628OZUaOzP7PPAhYrzAuk7SqLEyYrcCeHfT378FLnb3R0eZtzrLFjczu4yY9OUid38qQ97qLuc1dyvxw/93wLPA6cByYBVws5ld4O4/7yKvdZIrbtPT/mPAM8QA/ruBE4GvEl1If2Zm89z9351nt1ZKu0eY2bnE5Fa73H1rB3mru2yxc/eNZvY3YrxY80yPTxFdlvtuOIZaoKSXGn3Vux14lyudfjHWyptTx7Ezs48Aa4i+20vdffgobxk0o46duy9IY1KmAYvT4e39Ok1thwrFLY1RXEN0/bml5Dz1i8LXnLt/091vc/cn3f1ld9/j7lcRFahxwNfLzGjNFI3b+Kb9Cnff5O7/cPfHiMrnNqI1YWk52aylbu6vn0r7QWx9KqJw7MzsEqKV8wFi4ohJaX838B2iJbmvqAIlOTWeRkwZ4fzrW15Xdjr9YqyVN6dSYmdmS4gv9P3EFNx993SsgNKuO3d/1t1/QVSiDgEbzOzY0WexlnLFbR0Rm8/myFSf6MV33feJ8Yrz00D3QZArbo0xOv8iuju+InWzujX9+a7RZrDGyrpHTCUqmoeAGzvLWu1liV0a57SO6Kp3qbvvdvdD7r6baPXcDiwzs/d1n+XeUQVKctqT9iP1h20MHhypP23udPrFWCtvTtljZ2bLgI1E14Jz3X3PUd7Sr0q/7tz9APAboovQ3E7TqZlccXs70aXq6eaFOInuLABfTsc2d5fdWunFNfcy0Jh86LhO06mZ3PfWg62TAiSNCtagPOyA8q655cTkEbek77lBlCt2i4mpzLe0mYziMHB/+vMdnWSyKhoDJTndm/aLzWxcmykvzyGe1jx4lHQeTK87x8wmt5nGvNE16N52b+5DueI2FmWNXZqyfAMxLe2iAW15aujVdXdy2g/KLIa54raB6MbSahbwXmLc3XZijM+gKP2aM7M5wAlEJeqZLvJaJ7nitpOIyTQzO6nNuLvGIrCPd5/l2ijrmrs87dd2n8XayhW7xsyYJ45wvnG8v8bd9WKxKW1jZ2OUi64RAzDf3CadxkK617cc10K6R4hby2tmoIV0R3PNLQf+SwxmPb3qcvVL7IjB+zNHSP/TKZ0ngPFVl7dOcTtC2kNoId2jXXMziTV3WtOeBmxN6aytuqx1i1s6fk16/XpgXNPxecSP4WHgzKrLW8fYNZ1fmN73cNVl64fYEV1CnVgs960t5+an6+4wMLfq8o5m00K6kpWZnUHcwKYT/an/SMzKtYho5j3bm+b6T11W8JbFENPidFuJpuN7gIeIAYcXEuNSzvYY+DoQMsbtPbw6rerriD7a+4FXZqNy96GyylGFHLEzs0XEANdxRF/tv7T5VwfcfU1JxahEptgtAX6a0nmE6Pr4BmJtkHnAP4EL3H1LD4rUE7k+ryOkPcSALqQL2a65IWKs0xZioc/ngNOA84nxGtuAD/oAda3KeI+YRAzcX0C0bt5HtAAsJbrurXL31SUXp6dyf17N7EbgEmClu3+73NxXK+N1tw74JNHKtIlY3mIGsASYAKxx9y+UXJy8qq7BaRu8DTiV+AGwj/iw7AW+BUxt81onjV9tc25qet/elM4+4sftKVWXsa5x49Wn1yNuVZezjrErEjfg8arLWdPYnUaswfMQUXkaJrpP/Z6YZvrUqstYx7gdId3GtTiQLVA5YkdUzH8IPExMYT5MVKIeAK4AJlRdxjrGrencJOBqYDcxocQLxAOk86ouYx/E7gSixeQl4Piqy9UvsSNm7BsiKuzPE126nyMq8x+vuoydbGqBEhERERERKUiz8ImIiIiIiBSkCpSIiIiIiEhBqkCJiIiIiIgUpAqUiIiIiIhIQapAiYiIiIiIFKQKlIiIiIiISEGqQImIiIiIiBSkCpSIiIiIiEhBqkCJiIiIiIgUpAqUiIiIiIhIQapAiYiIiIiIFKQKlIiIiIiISEGqQImIiIiIiBSkCpSIiIiIiEhBqkCJiIiIiIgUpAqUiIiIiIhIQapAiYiIiIiIFPQ/xkoDBurob3AAAAAASUVORK5CYII=
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<h2 id="Reminder-for-Workspace-users">Reminder for Workspace users<a class="anchor-link" href="#Reminder-for-Workspace-users">&#182;</a></h2><p>If your network becomes very large when saved as a checkpoint, there might be issues with saving backups in your workspace. You should reduce the size of your hidden layers and train again.</p>
<p>We strongly encourage you to delete these large interim files and directories before navigating to another page or closing the browser tab.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO remove .pth files or move it to a temporary `~/opt` directory in this Workspace</span>
<span class="kn">import</span> <span class="nn">os</span>
<span class="n">os</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="s1">&#39;checkpoint.pth&#39;</span><span class="p">)</span>
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