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 */
    </style>
<style type="text/css">

/* Temporary definitions which will become obsolete with Notebook release 5.0 */
.ansi-black-fg { color: #3E424D; }
.ansi-black-bg { background-color: #3E424D; }
.ansi-black-intense-fg { color: #282C36; }
.ansi-black-intense-bg { background-color: #282C36; }
.ansi-red-fg { color: #E75C58; }
.ansi-red-bg { background-color: #E75C58; }
.ansi-red-intense-fg { color: #B22B31; }
.ansi-red-intense-bg { background-color: #B22B31; }
.ansi-green-fg { color: #00A250; }
.ansi-green-bg { background-color: #00A250; }
.ansi-green-intense-fg { color: #007427; }
.ansi-green-intense-bg { background-color: #007427; }
.ansi-yellow-fg { color: #DDB62B; }
.ansi-yellow-bg { background-color: #DDB62B; }
.ansi-yellow-intense-fg { color: #B27D12; }
.ansi-yellow-intense-bg { background-color: #B27D12; }
.ansi-blue-fg { color: #208FFB; }
.ansi-blue-bg { background-color: #208FFB; }
.ansi-blue-intense-fg { color: #0065CA; }
.ansi-blue-intense-bg { background-color: #0065CA; }
.ansi-magenta-fg { color: #D160C4; }
.ansi-magenta-bg { background-color: #D160C4; }
.ansi-magenta-intense-fg { color: #A03196; }
.ansi-magenta-intense-bg { background-color: #A03196; }
.ansi-cyan-fg { color: #60C6C8; }
.ansi-cyan-bg { background-color: #60C6C8; }
.ansi-cyan-intense-fg { color: #258F8F; }
.ansi-cyan-intense-bg { background-color: #258F8F; }
.ansi-white-fg { color: #C5C1B4; }
.ansi-white-bg { background-color: #C5C1B4; }
.ansi-white-intense-fg { color: #A1A6B2; }
.ansi-white-intense-bg { background-color: #A1A6B2; }

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

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

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Imports here</span>
<span class="o">%</span><span class="k">matplotlib</span> inline
<span class="o">%</span><span class="k">config</span> InlineBackend.figure_format = &#39;retina&#39;

<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>

<span class="kn">import</span> <span class="nn">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">models</span><span class="p">,</span> <span class="n">transforms</span>

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

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data_dir</span> <span class="o">=</span> <span class="s1">&#39;flowers&#39;</span>
<span class="n">train_dir</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/train&#39;</span>
<span class="n">valid_dir</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/valid&#39;</span>
<span class="n">test_dir</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/test&#39;</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Define your transforms for the training, validation, and testing sets</span>
<span class="n">train_data_transformer</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">Resize</span><span class="p">(</span><span class="mi">255</span><span class="p">),</span>
                            <span class="n">transforms</span><span class="o">.</span><span class="n">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">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="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="n">valid_data_transformer</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">255</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"># TODO: Load the datasets with ImageFolder</span>
<span class="n">train_dataset</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_data_transformer</span><span class="p">)</span>
<span class="n">valid_dataset</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_data_transformer</span><span class="p">)</span>
<span class="n">test_dataset</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">valid_data_transformer</span><span class="p">)</span>

<span class="n">image_datasets</span> <span class="o">=</span> <span class="p">{</span>
    <span class="s1">&#39;train&#39;</span><span class="p">:</span> <span class="n">train_dataset</span><span class="p">,</span>
    <span class="s1">&#39;valid&#39;</span><span class="p">:</span> <span class="n">valid_dataset</span><span class="p">,</span>
    <span class="s1">&#39;test&#39;</span> <span class="p">:</span> <span class="n">test_dataset</span>
<span class="p">}</span>

<span class="c1"># TODO: Using the image datasets and the trainforms, define the dataloaders</span>
<span class="n">train_dataloader</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">image_datasets</span><span class="p">[</span><span class="s1">&#39;train&#39;</span><span class="p">],</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">64</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">valid_dataloader</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">image_datasets</span><span class="p">[</span><span class="s1">&#39;valid&#39;</span><span class="p">],</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">64</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">test_dataloader</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">image_datasets</span><span class="p">[</span><span class="s1">&#39;test&#39;</span><span class="p">]</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">dataloaders</span> <span class="o">=</span> <span class="p">{</span>
    <span class="s1">&#39;train&#39;</span><span class="p">:</span> <span class="n">train_dataloader</span><span class="p">,</span>
    <span class="s1">&#39;valid&#39;</span><span class="p">:</span> <span class="n">valid_dataloader</span><span class="p">,</span>
    <span class="s1">&#39;test&#39;</span> <span class="p">:</span> <span class="n">test_dataloader</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="n">model</span> <span class="o">=</span> <span class="n">models</span><span class="o">.</span><span class="n">vgg13</span><span class="p">(</span><span class="n">pretrained</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>

<span class="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">():</span>
    <span class="n">param</span><span class="o">.</span><span class="n">requires_grad</span> <span class="o">=</span> <span class="kc">False</span>
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<pre>VGG(
  (features): Sequential(
    (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (1): ReLU(inplace)
    (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (3): ReLU(inplace)
    (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (5): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (6): ReLU(inplace)
    (7): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (8): ReLU(inplace)
    (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (10): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (11): ReLU(inplace)
    (12): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (13): ReLU(inplace)
    (14): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (15): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (16): ReLU(inplace)
    (17): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (18): ReLU(inplace)
    (19): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (20): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (21): ReLU(inplace)
    (22): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (23): ReLU(inplace)
    (24): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): 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)
  )
)
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">collections</span> <span class="k">import</span> <span class="n">OrderedDict</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;relu1&#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;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">512</span><span class="p">)),</span>
                          <span class="p">(</span><span class="s1">&#39;relu2&#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;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">512</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="n">model</span><span class="o">.</span><span class="n">classifier</span> <span class="o">=</span> <span class="n">classifier</span>

<span class="n">criterion</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">NLLLoss</span><span class="p">()</span>
<span class="n">optimizer</span> <span class="o">=</span> <span class="n">optim</span><span class="o">.</span><span class="n">Adam</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">classifier</span><span class="o">.</span><span class="n">parameters</span><span class="p">(),</span> <span class="n">lr</span><span class="o">=</span><span class="mf">0.001</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">training</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">trainloader</span><span class="p">,</span> <span class="n">validloader</span><span class="p">,</span> <span class="n">epochs</span><span class="p">,</span> <span class="n">print_every</span><span class="p">,</span> <span class="n">criterion</span><span class="p">,</span> <span class="n">optimizer</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="s1">&#39;cpu&#39;</span><span class="p">):</span>
    <span class="n">epochs</span> <span class="o">=</span> <span class="n">epochs</span>
    <span class="n">print_every</span> <span class="o">=</span> <span class="n">print_every</span>
    <span class="n">steps</span> <span class="o">=</span> <span class="mi">0</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="k">for</span> <span class="n">e</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="n">running_loss</span> <span class="o">=</span> <span class="mi">0</span>
        <span class="k">for</span> <span class="n">ii</span><span class="p">,</span> <span class="p">(</span><span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">trainloader</span><span class="p">):</span>
            <span class="n">steps</span> <span class="o">=</span> <span class="n">steps</span> <span class="o">+</span> <span class="mi">1</span>
            <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">inputs</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
            <span class="n">optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span>

            <span class="c1"># Forward and backward passes</span>
            <span class="n">outputs</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>
            <span class="n">loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">outputs</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
            <span class="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">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">correct</span> <span class="o">=</span> <span class="mi">0</span>
                <span class="n">total</span> <span class="o">=</span> <span class="mi">0</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">data</span> <span class="ow">in</span> <span class="n">validloader</span><span class="p">:</span>
                        <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</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">data</span><span class="p">[</span><span class="mi">1</span><span class="p">]</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">outputs</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
                        <span class="n">_</span><span class="p">,</span> <span class="n">predicted</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">outputs</span><span class="o">.</span><span class="n">data</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
                        <span class="n">total</span> <span class="o">=</span> <span class="n">total</span> <span class="o">+</span> <span class="n">labels</span><span class="o">.</span><span class="n">size</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
                        <span class="n">correct</span> <span class="o">=</span> <span class="n">correct</span> <span class="o">+</span> <span class="p">(</span><span class="n">predicted</span> <span class="o">==</span> <span class="n">labels</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>

                <span class="n">valid_accuracy</span> <span class="o">=</span> <span class="n">correct</span> <span class="o">/</span> <span class="n">total</span>

                <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Epoch: </span><span class="si">{}</span><span class="s2">/</span><span class="si">{}</span><span class="s2">... &quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">e</span><span class="o">+</span><span class="mi">1</span><span class="p">,</span> <span class="n">epochs</span><span class="p">),</span>
                      <span class="s2">&quot;Training Loss: </span><span class="si">{:.4f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">running_loss</span><span class="o">/</span><span class="n">print_every</span><span class="p">),</span>
                      <span class="s2">&quot;Validation Accuracy: </span><span class="si">{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">round</span><span class="p">(</span><span class="n">valid_accuracy</span><span class="p">,</span><span class="mi">4</span><span class="p">)))</span>

                <span class="n">running_loss</span> <span class="o">=</span> <span class="mi">0</span>

    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Training is completed.&quot;</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">training</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">dataloaders</span><span class="p">[</span><span class="s1">&#39;train&#39;</span><span class="p">],</span> <span class="n">dataloaders</span><span class="p">[</span><span class="s1">&#39;valid&#39;</span><span class="p">],</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">40</span><span class="p">,</span> <span class="n">criterion</span><span class="p">,</span> <span class="n">optimizer</span><span class="p">,</span> <span class="s1">&#39;cuda&#39;</span><span class="p">)</span>
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<pre>Epoch: 1/3...  Training Loss: 3.8391 Validation Accuracy: 0.5134
Epoch: 1/3...  Training Loss: 1.3392 Validation Accuracy: 0.7225
Epoch: 2/3...  Training Loss: 0.2216 Validation Accuracy: 0.8007
Epoch: 2/3...  Training Loss: 0.4853 Validation Accuracy: 0.8423
Epoch: 2/3...  Training Loss: 0.3899 Validation Accuracy: 0.857
Epoch: 3/3...  Training Loss: 0.2047 Validation Accuracy: 0.8667
Epoch: 3/3...  Training Loss: 0.2131 Validation Accuracy: 0.8863
Training is completed.
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<h2 id="Testing-your-network">Testing your network<a class="anchor-link" href="#Testing-your-network">&#182;</a></h2><p>It's good practice to test your trained network on test data, images the network has never seen either in training or validation. This will give you a good estimate for the model's performance on completely new images. Run the test images through the network and measure the accuracy, the same way you did validation. You should be able to reach around 70% accuracy on the test set if the model has been trained well.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Do validation on the test set</span>
<span class="k">def</span> <span class="nf">testing</span><span class="p">(</span><span class="n">testloader</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="s1">&#39;cpu&#39;</span><span class="p">):</span>
    <span class="n">correct</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">total</span> <span class="o">=</span> <span class="mi">0</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">data</span> <span class="ow">in</span> <span class="n">testloader</span><span class="p">:</span>
            <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</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">data</span><span class="p">[</span><span class="mi">1</span><span class="p">]</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">outputs</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
            <span class="n">_</span><span class="p">,</span> <span class="n">predicted</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">outputs</span><span class="o">.</span><span class="n">data</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
            <span class="n">total</span> <span class="o">=</span> <span class="n">total</span> <span class="o">+</span> <span class="n">labels</span><span class="o">.</span><span class="n">size</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
            <span class="n">correct</span> <span class="o">+=</span> <span class="p">(</span><span class="n">predicted</span> <span class="o">==</span> <span class="n">labels</span><span class="p">)</span><span class="o">.</span><span class="n">sum</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="s1">&#39;Testing Accuracy: </span><span class="si">%d</span><span class="s1"> </span><span class="si">%%</span><span class="s1">&#39;</span> <span class="o">%</span> <span class="p">(</span><span class="mi">100</span> <span class="o">*</span> <span class="n">correct</span> <span class="o">/</span> <span class="n">total</span><span class="p">))</span>

    <span class="k">return</span> <span class="n">correct</span> <span class="o">/</span> <span class="n">total</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">testing</span><span class="p">(</span><span class="n">dataloaders</span><span class="p">[</span><span class="s1">&#39;test&#39;</span><span class="p">],</span><span class="s1">&#39;cuda&#39;</span><span class="p">)</span>
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<pre>Testing Accuracy: 84 %
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<pre>0.8424908424908425</pre>
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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">image_datasets</span><span class="p">[</span><span class="s1">&#39;train&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">class_to_idx</span>

<span class="n">checkpoint</span> <span class="o">=</span> <span class="p">{</span>
    <span class="s1">&#39;model&#39;</span><span class="p">:</span> <span class="n">model</span><span class="p">,</span>
    <span class="s1">&#39;class_to_idx&#39;</span><span class="p">:</span> <span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span><span class="p">,</span>
    <span class="s1">&#39;classifier&#39;</span><span class="p">:</span> <span class="n">model</span><span class="o">.</span><span class="n">classifier</span><span class="p">,</span>
    <span class="s1">&#39;state_dict&#39;</span><span class="p">:</span> <span class="n">model</span><span class="o">.</span><span class="n">state_dict</span><span class="p">()</span>
<span class="p">}</span>

<span class="n">checkpoint_fn</span> <span class="o">=</span> <span class="s1">&#39;checkpoint.pth&#39;</span>
<span class="n">torch</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">,</span> <span class="n">checkpoint_fn</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">load_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">checkpoint_fn</span><span class="p">)</span>

    <span class="n">model</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;model&#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">classifier</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;classifier&#39;</span><span class="p">]</span>
    <span class="n">model</span><span class="o">.</span><span class="n">load_state_dict</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;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="n">model</span> <span class="o">=</span> <span class="n">load_checkpoint</span><span class="p">(</span><span class="n">checkpoint_fn</span><span class="p">)</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): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (15): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (16): ReLU(inplace)
    (17): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (18): ReLU(inplace)
    (19): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (20): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (21): ReLU(inplace)
    (22): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (23): ReLU(inplace)
    (24): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): Sequential(
    (fc1): Linear(in_features=25088, out_features=4096, bias=True)
    (relu1): ReLU()
    (fc2): Linear(in_features=4096, out_features=512, bias=True)
    (relu2): ReLU()
    (fc3): Linear(in_features=512, out_features=102, bias=True)
    (output): LogSoftmax()
  )
)</pre>
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<h1 id="Inference-for-classification">Inference for classification<a class="anchor-link" href="#Inference-for-classification">&#182;</a></h1><p>Now you'll write a function to use a trained network for inference. That is, you'll pass an image into the network and predict the class of the flower in the image. Write a function called <code>predict</code> that takes an image and a model, then returns the top $K$ most likely classes along with the probabilities. It should look like</p>
<div class="highlight"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
<span class="o">&gt;</span> <span class="p">[</span> <span class="mf">0.01558163</span>  <span class="mf">0.01541934</span>  <span class="mf">0.01452626</span>  <span class="mf">0.01443549</span>  <span class="mf">0.01407339</span><span class="p">]</span>
<span class="o">&gt;</span> <span class="p">[</span><span class="s1">&#39;70&#39;</span><span class="p">,</span> <span class="s1">&#39;3&#39;</span><span class="p">,</span> <span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="s1">&#39;62&#39;</span><span class="p">,</span> <span class="s1">&#39;55&#39;</span><span class="p">]</span>
</pre></div>
<p>First you'll need to handle processing the input image such that it can be used in your network.</p>
<h2 id="Image-Preprocessing">Image Preprocessing<a class="anchor-link" href="#Image-Preprocessing">&#182;</a></h2><p>You'll want to use <code>PIL</code> to load the image (<a href="https://pillow.readthedocs.io/en/latest/reference/Image.html">documentation</a>). It's best to write a function that preprocesses the image so it can be used as input for the model. This function should process the images in the same manner used for training.</p>
<p>First, resize the images where the shortest side is 256 pixels, keeping the aspect ratio. This can be done with the <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>thumbnail</code></a> or <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>resize</code></a> methods. Then you'll need to crop out the center 224x224 portion of the image.</p>
<p>Color channels of images are typically encoded as integers 0-255, but the model expected floats 0-1. You'll need to convert the values. It's easiest with a Numpy array, which you can get from a PIL image like so <code>np_image = np.array(pil_image)</code>.</p>
<p>As before, the network expects the images to be normalized in a specific way. For the means, it's <code>[0.485, 0.456, 0.406]</code> and for the standard deviations <code>[0.229, 0.224, 0.225]</code>. You'll want to subtract the means from each color channel, then divide by the standard deviation.</p>
<p>And finally, PyTorch expects the color channel to be the first dimension but it's the third dimension in the PIL image and Numpy array. You can reorder dimensions using <a href="https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.ndarray.transpose.html"><code>ndarray.transpose</code></a>. The color channel needs to be first and retain the order of the other two dimensions.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">load_image</span><span class="p">(</span><span class="n">image_file</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39; Scales, crops, and normalizes a PIL image for a PyTorch model,</span>
<span class="sd">        returns an Numpy array</span>
<span class="sd">    &#39;&#39;&#39;</span>

    <span class="c1"># TODO: Process a PIL image for use in a PyTorch model</span>
    <span class="n">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_file</span><span class="p">)</span>
    <span class="n">transform</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">255</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">image</span> <span class="o">=</span> <span class="n">transform</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>

    <span class="k">return</span> <span class="n">image</span>
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<p>To check your work, the function below converts a PyTorch tensor and displays it in the notebook. If your <code>process_image</code> function works, running the output through this function should return the original image (except for the cropped out portions).</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Imshow for Tensor.&quot;&quot;&quot;</span>
    <span class="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
        <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>

    <span class="c1"># PyTorch tensors assume the color channel is the first dimension</span>
    <span class="c1"># but matplotlib assumes is the third dimension</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span><span class="o">.</span><span class="n">transpose</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</span>

    <span class="c1"># Undo preprocessing</span>
    <span class="n">mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">])</span>
    <span class="n">std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">std</span> <span class="o">*</span> <span class="n">image</span> <span class="o">+</span> <span class="n">mean</span>

    <span class="c1"># Image needs to be clipped between 0 and 1 or it looks like noise when displayed</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">clip</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>

    <span class="n">ax</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>

    <span class="k">return</span> <span class="n">ax</span>
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<h2 id="Class-Prediction">Class Prediction<a class="anchor-link" href="#Class-Prediction">&#182;</a></h2><p>Once you can get images in the correct format, it's time to write a function for making predictions with your model. A common practice is to predict the top 5 or so (usually called top-$K$) most probable classes. You'll want to calculate the class probabilities then find the $K$ largest values.</p>
<p>To get the top $K$ largest values in a tensor use <a href="http://pytorch.org/docs/master/torch.html#torch.topk"><code>x.topk(k)</code></a>. This method returns both the highest <code>k</code> probabilities and the indices of those probabilities corresponding to the classes. You need to convert from these indices to the actual class labels using <code>class_to_idx</code> which hopefully you added to the model or from an <code>ImageFolder</code> you used to load the data (<a href="#Save-the-checkpoint">see here</a>). Make sure to invert the dictionary so you get a mapping from index to class as well.</p>
<p>Again, this method should take a path to an image and a model checkpoint, then return the probabilities and classes.</p>
<div class="highlight"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
<span class="o">&gt;</span> <span class="p">[</span> <span class="mf">0.01558163</span>  <span class="mf">0.01541934</span>  <span class="mf">0.01452626</span>  <span class="mf">0.01443549</span>  <span class="mf">0.01407339</span><span class="p">]</span>
<span class="o">&gt;</span> <span class="p">[</span><span class="s1">&#39;70&#39;</span><span class="p">,</span> <span class="s1">&#39;3&#39;</span><span class="p">,</span> <span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="s1">&#39;62&#39;</span><span class="p">,</span> <span class="s1">&#39;55&#39;</span><span class="p">]</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="s1">&#39;cuda&#39;</span><span class="p">,</span> <span class="n">topk</span><span class="o">=</span><span class="mi">5</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39; Predict the class (or classes) of an image using a trained deep learning model.</span>
<span class="sd">    &#39;&#39;&#39;</span>

    <span class="c1"># TODO: Implement the code to predict the class from an image file</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">from_numpy</span><span class="p">(</span><span class="n">image</span><span class="p">)</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="n">image</span> <span class="o">=</span> <span class="n">image</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="o">.</span><span class="n">float</span><span class="p">()</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="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">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="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">output</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>

    <span class="n">probs</span><span class="p">,</span> <span class="n">indeces</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">output</span><span class="p">)</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="n">topk</span><span class="p">)</span>

    <span class="n">probs</span>   <span class="o">=</span>   <span class="n">probs</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cpu&#39;</span><span class="p">)</span><span class="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="n">indeces</span> <span class="o">=</span> <span class="n">indeces</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cpu&#39;</span><span class="p">)</span><span class="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="n">mapping</span> <span class="o">=</span> <span class="p">{</span><span class="n">val</span><span class="p">:</span> <span class="n">key</span> <span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">val</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
    <span class="n">classes</span> <span class="o">=</span> <span class="p">[</span><span class="n">mapping</span><span class="p">[</span><span class="n">item</span><span class="p">]</span> <span class="k">for</span> <span class="n">item</span> <span class="ow">in</span> <span class="n">indeces</span><span class="p">]</span>

    <span class="k">return</span> <span class="n">probs</span><span class="p">,</span> <span class="n">classes</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">image</span> <span class="o">=</span> <span class="n">load_image</span><span class="p">(</span><span class="s1">&#39;flowers/test/102/image_08015.jpg&#39;</span><span class="p">)</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">load_checkpoint</span><span class="p">(</span><span class="n">checkpoint_fn</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
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<pre>[0.995397686958313, 0.0027925176545977592, 0.0014518274692818522, 0.00017508350720163435, 0.00010228866449324414]
[&#39;102&#39;, &#39;21&#39;, &#39;57&#39;, &#39;84&#39;, &#39;78&#39;]
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<h2 id="Sanity-Checking">Sanity Checking<a class="anchor-link" href="#Sanity-Checking">&#182;</a></h2><p>Now that you can use a trained model for predictions, check to make sure it makes sense. Even if the testing accuracy is high, it's always good to check that there aren't obvious bugs. Use <code>matplotlib</code> to plot the probabilities for the top 5 classes as a bar graph, along with the input image. It should look like this:</p>
<p><img src='assets/inference_example.png' width=300px></p>
<p>You can convert from the class integer encoding to actual flower names with the <code>cat_to_name.json</code> file (should have been loaded earlier in the notebook). To show a PyTorch tensor as an image, use the <code>imshow</code> function defined above.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Display an image along with the top 5 classes</span>
<span class="n">image_filepath</span> <span class="o">=</span> <span class="s1">&#39;flowers/test/100/image_07897.jpg&#39;</span>

<span class="n">image</span> <span class="o">=</span> <span class="n">load_image</span><span class="p">(</span><span class="n">image_filepath</span><span class="p">)</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">load_checkpoint</span><span class="p">(</span><span class="n">checkpoint_fn</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</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>

<span class="n">plant_classes</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="bp">cls</span><span class="p">)]</span> <span class="o">+</span> <span class="s2">&quot;(</span><span class="si">{}</span><span class="s2">)&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="bp">cls</span><span class="p">))</span> <span class="k">for</span> <span class="bp">cls</span> <span class="ow">in</span> <span class="n">classes</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="mi">2</span><span class="p">,</span><span class="mi">1</span><span class="p">)</span>

<span class="n">im</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_filepath</span><span class="p">)</span>
<span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">im</span><span class="p">);</span>
<span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">&#39;Top 5 Flower Predictions&#39;</span><span class="p">)</span>

<span class="n">y_positions</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">plant_classes</span><span class="p">))</span>
<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">barh</span><span class="p">(</span><span class="n">y_positions</span><span class="p">,</span><span class="n">probs</span><span class="p">,</span><span class="n">color</span><span class="o">=</span><span class="s1">&#39;blue&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_yticks</span><span class="p">(</span><span class="n">y_positions</span><span class="p">)</span>
<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_yticklabels</span><span class="p">(</span><span class="n">plant_classes</span><span class="p">)</span>
<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">invert_yaxis</span><span class="p">()</span>  <span class="c1"># labels read top-to-bottom</span>
<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">&#39;Accuracy (%)&#39;</span><span class="p">)</span>
</pre></div>

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<pre>Text(0.5,0,&#39;Accuracy (%)&#39;)</pre>
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1R1SRpfcZ/UdPi3RWSfdG9+nlRd9X+91JMZPxdfTMom30r68eRgPJ8F6XP0usPnw1NjgL6JdI8+JCIPicibLvLQV/rMXY5bSRVaf4/xc0lqqv6rwD2karFvvIrHy7JPGTmIzLIsy64r45fMFwPfAfwBqZmdJWVKfgB4/kUEgX+dNJbkH5G+LO+RsiGvUNUfv4zTehPwo6Qvqyd5aliKD5K+ML9cVd/wiZLxUNU94IuAv0Xqm9iSmp8+QCo08jxVfecFdvHu8/x7vf/38VRxlIdU9bzDSajqe0hZxjcBv00KZLbH6X8hBWGfeRmB/ScETf5nUlb2X5OusSEN+/EY6YeQryf1Hz287e+Qmqz+W9KPIyUp8PlHwMt4qvjOpZ7TB8f9fivp/i9Iw2A8SArkv5anhnJZezPwTaRnXEmB/bNIhWou5phX+sxdjteQAu3fJF2/zfG4vwf8feAzxmuRZdklknPXHMiyLMuyTy4i8s3APwfedoHhIrIsy7Is+zhyJjLLsizLsizLsiy7aDmIzLIsy7Isy7Isyy5aDiKzLMuyLMuyLMuyi5aDyCzLsizLsizLsuyi5cI6WZZlWZZlWZZl2UXLmcgsy7LsqhKR20XkJ0XkMRHpxrHk3iwiR671uWVZlmVZduVyJjLLsiy7akTk00kDit8IvI00duNLgFcAHwBepqqnrt0ZZlmWZVl2pXImMsuyLLuafoQUQH6Tqr5WVf+eqr6SND7jfcD3X9Ozy7Isy7LsiuVMZJZlWXZViMjdwJ8BDwGfrqrxrGUbwOOAADeq6uKanGSWZVmWZVcsZyKzLMuyq+WV4/QdZweQAKp6APw6MAE+75k+sSzLsizLrh53rU8gy7Is+6Rx3zj90/Msvx94NfBs4J3n24mI/O55Fj0fmJMynVmWZWe7C9hX1U+71ieSZZ8KchCZZVmWXS1b43TvPMvX87cvc//WFcXR47feeBQBVFFVoipGUteMGAMxehAwxqatFBRN84F1klSEcSqASVMFJO0XFUQsIgbBgAiqkY/uBCLjPiJRA8F3KJF0OkJURUSw1iFiAUHEEFXRmPaV9g1GBBFBzDgPAwoheiCCgiCggnpFVNA4zpd0JsYYVDTt1wi4Ypw3rpD2QNRA9AEdekyMqMa0HoA1iBHEKopiTLqIacszFw1UGa8skM4fTcc1xmCtJUbLcrGk7z0iBuscYgzGuPReRVDVdE9Ez5zf+GbTbSYdK2hEUIxN+xc14/V0434gquJDz7qrjpDWNeasc0eJIaIo3ns0KO2yZegGQkjvaX3k9ftgfV+sUtYFxhrKsgIRDHa8JAZRQaISfUz3BhAUFR1v0FNPTtR0fUNMN9BYMz4D6dlGhBjTfuJ4LiIGawxGzLiP9PwKgsKZa5nev2DEoEEJ3oMfMAIYASPE8ZkQsWiEGAI+DGxuzkA0nbdGnHPp84FhsezS52r8qEAcT1XOPNsi43HH/wnpfNJzohgsxqQnRyOEENO2WpCe3EgkQoyICIW4dB+MPfMZWd/KIQz4MDDowM4Te4QhnOu/G1mWPQ1yEJllWZY9U576Fn8Bqvric24s8rvHbjn2oje86etTgBKgbVvatqVf7VM3jqL0rLrTQMRai7WWutpCVVmtloQ40HUdMXqGYRdVxdoC5xyqQggBV6yDyIK63MKaGo0FzhUgBUbS/3V6H5nPFxRFgZsEoGMxP8FivgMx4IyjC5G6njCdbYHUxChAxTAMRPVoNIhYyqKmKC1lWTKZCiIFfhAWiwWL5WlC6JjECaVrOFrdjMwLXG/QtkV9QIqAMUJVWFQV73u8RhabE4q6pjyywSAGW1YYY1j4UxycOsny4Q8xmc8xnaeMMJ1OWZQGrSz2SImdWQZZ0EwcpQ44WwCOsqjp+wFrLW13QFU6YgwYGWiqAlcIk7pi+/ht2LjNW//3X+HBhz7CLXfdwmxrwubG3dRVA8Yi1rDq5yADDsEWgAwMeIwxRNJ7WrX7WONpJpZZs0FlNzFSUdqbMcawv9ilHRbs7D5OkJ5ptUlZltR1jXOOEEK67jGynK/o2yWnT+6z89hJ3vc7f8p8d0G7SvfeuRS4FEVBXdf0KpSTgnLWMzvuuPG2Y9xw200cO3aMre3jRLUUbkZFhV1Z6ALzJ08z9CuMaRHb0psDTAVaRVChC4bFKtJ5wZUzmsmUSZGeWe97INIPLV3XMShUVcWsmTCd1MyaCSJC3xmscRhTMvSRYehpuzmr1YJqc0ZTbhDnwrC/on/iJMZ7otvHO8XXjsEJzs0Ax8Fe2vaee27h1psnFK5HtaOqCo4fu535PNKGDT784ScwdYkaxXc91lrKskbEUhQF1hQYN9D3Ld73KJ5h6CirFOxPqxJrYWf3CXZOHSA6w9kGiUcIsScM+xQCG65go56xWW4wqWomrqQqSjBCEIgxcv/uB3hi73FODk/yth/7FU49uvfQ1flPVZZlH0/uE5llWZZdLetM49Z5lm8eWu+yqAZUFWPXmZeUBfFDJAQdsyLpS2YIga5rx4CgpHA1G7NtZtMjTCabOFcjInRdx2q1oO9blgf7xMEztCuGbkW7PMD3S4Zuju87+m5Bu1rQrg7QONC3LRoER4k1NWWxgdgaMSXONkwnmwQv9H1AxqwVCM6WiECMnhAHUIMfIqopexbjkDKcMX0Rb7tVyrhFwVBQFCVlWTKdNdSThrpuaKYbOOdoqgmVWGwfoPfE3uOMOZOtjDEgNmUeF6slq+Wc0A34RQurnrgKEBy+MyA1g7c4WxCCYq0lhJACBwqMcQw+4lyBj0oU8N6z6npWq1MUzvPKV3w+84NTHOztsLv7JHbMEKoq3arFqEE9qECMKatHVIYhUBcloQ9n1g9eCUHxA2i0CAUAIQ6c3nuSqB1FKZSlwxgIYSBGn65zGAhhwDpFNSA+XZsQAlHTM6OqxDGLqKoMwwAYhj4QB4PVipMndjjY2WfniSdpuwN8WCESGeLAIAFfGWbHjxIrQy893nrsxNCbjuB6erMC54lGsaXFWEuMEFXwQfFBWaxa+kGJKqAGjSlrKyLEGLDWYFCCH3CmwIpLCetgaKoZMUZijExmE4rKUTRTimqWMrgBHIIJiphI0J6qqSnrCjEFGMti0VGWjn5YUTcF20c26boOa9fZXYeqpaqmOOdwzmAM1I2jqQ3OKqhHiNRVhYbI5mwDZ2ExP83+6T380ENM2Ulx4IxSYbD9wFQctViawlEYoSodvm/R6BGjqIl4Ir0Gqqa+kv+kZFl2GXImMsuyLLtaPjBOn32e5feO0/P1mfy4BIOzU2IMhBhpmgbnHN6WiIlgFhgbCbHH+54YoY9zovZUZfqyizq8eKw5hpWOYVgRw4ohLlPA0Q8QDajjoN1HVSiLCUVREvUA50pELN57gleKoqBfCFoIpdlEqoIYdjBOmNgJ1tQYY2gXLUPf4ooK5wri2FzP2Ii1KYApXEMMBldVWBtQUvO8GEHo6PyCQTyTpsYFEGlxFtAaKRxBIlqW+K5FjKPoAsZEXAQChCIFALWtCbbjwFgWbY/Mlwx+RV9OsNsNRkrC0iJSYEqHGGXo2xSA2UBdFwip6aWoogq976mrCcvViqpwdP0AnEaGgtvvvIO//S1fxb/9mV9ksjGh7fZxBWBKnE3BY4gRsdXYzHSAITIrK1gMNN4yLwqiD8RgWS0jRVNizQRlYOg7FsudMZhTrClAAiF6ogqDb8cfHFIS3MceJ0qBMqxWEFLgu26Oaa3FGEMIITVnJSJRIBoOdlaYIvLA6kFuuukmXFFw7Nhx2mgpXANlQ1FUeAzNDZvsnz4gaCT4nnJSonZJ4Rx7+y3WTTAhNZm1AoIjhkjXedrW45xB1WKsw/vU5Nh7j5aWrl8w79KPCu2wD1oQomDLBmMB2xHFM8iKZrPC+chib5/YQlmVdP2AWM/gIRpLb2CyNeHEk09w4w13UVYbLOanObK9QdvNiTEym005eXIfEUuIniNHjiCSAnIkUNbQDacpvKDBY0VBAmjg6PaMrpuze+oE+/unadsWZycYK6ldLj2hX1EPPYUKRQAzQBg8uIL5fE5ZlkSNeB8ZgkeqgmZzi8UyIJK/0mbZMyl/4rIsy7Kr5VfG6atFxJxjiI+XASvgty7/EAJagvYYI4hEXGGQYYqYgIri44BKxJgxm0SLDy2FFjhTsx7ZKgaLkQrnlBACWkS0KOh8JAZzJogIXoihJUYd+wl6RCwxRlxRELXH6gzvdew/WeDKBpGAsyUxgIoyJreIMQUz66ypcxYxKcMnIohWaEz9J73347s2aDEQbcCLp9eBECISWkojaBdRP+CmJZQFokpkoBoExKAhEkOA8djWWwocpalY2QKvlsFHvFXa1QorBZPNI9BFAh1b2w2rzlPXJc5ZVAM+eIIHTECE1Fw02BSkBwvRoNGyXO3R+ylHjpVMZwX9yhP8iuArjFWMS00US3FgDaCIFwpTENuB7Wabg+UBUjjAEbxgsaAFRhpUPSF2+NCOWTKHtcXYLNSfCQRTM18/XvsBCPiuhxAZhgGvT7W3Xmc918GkKQQRTffSC0GFED17J/cpNwpEHbfc0hC0S8+cGSjrLUpbYlclMfQoFq+CVUeMQmkLkBK1JYVzOFsgRYlogN5hixIM+GFAh4GydAxDoHBmzI5GugDGlIQYqMoGY10K6IyyWu7jjMeUioijjQuC9jhbotGzmi/QCoIDN5ngrCBGcVIymW2z2H+SIxvbdG2X+jCqsru7w3Q6Zekj1hR431NVRXoWQocZLMpA26Zrr0TqpkTVM/glB/M9Tp58gr7vxuA8XWswDO0K0/dIUEpjMWNmuBtajBl/rJCI4Ogt+BjwqvhoqOpNcuO6LHtm5SAyy7IsuypU9c9E5B2kCqz/PfBDZy3+HmAK/NiVjBEpxmDLBg1j00btCdFA0eNDSIGZLXElRN8iJuB9ALX0PhJ9wGiBszMoDNYFVqtIMykJ8wNCHFCjiHMslsux2SUM/RJrItIfYYg+FRwpDNFEyrKki3t473GlAwvYmqgKPtDHnnbVgXUYa3E48D0qJmXfYgU4bF0iNgVjy2VP71PzWjP2eSvDTcSodGWHhseJK8+kr1jtCfXU4Yygg8UUDlM1eOdpYsBrZBgMUQKmSk011dUgLWjAofSqmK3jxGpK7zx9GBAGUMtkeoyVKbBNxdIvscsVpR0YdEU0YExqEjwMA0VREK2iEijqguCFDsujj+1z28238uVf9nLe/SvvYbk8gdBSN8cpRVJGyhT05ZJlH5htbjPbeYDnHW24azKgWzXvfO8D9MeO8EAIDGVF5QxNAa5doaHFqNI0DWod1jVE8aixeK9oVMKgOFMQQsDPLcNuy/4jCxYnlmgXKIzQVY6qLtg+vkVZGeqZRUTpdlrKsiRY5aDr8GqATeY7QrNVsWs6nD2FKy2z2Sb1ZBPnBqJA0RzDhxk6VMSwIpoWEShKQeOAdRV1McNITWcHBIsrCyJjU1pxRN+jKizbHlsUrIaUFe57h0jPbCJYU2NF6NtAPwyUxuLxLGJPFwyTpkTagdPzXbqF8pHHd2g2Z1Q9VGIpGofvV6gpWXY9ppiwt79k1mwRYk/vV2wfPcbp05baCWp7Cu/RYYmzLWVhIDTEMEX7FYWAaTyu6IhdYPfDByznK8LpOa6wdF2Pa2pCP9A0FrEOcZZSI+oDoQWnng6FKFjv6U3ETEuWtqeLnta1YBTXF4jKx/mvR5ZlV1MOIrMsy7Kr6Y3AbwBvEZG/ALwf+FzgFaRmrN9xJTsXMZTlBOMNUVNTRZEe74fUj04NdTVDbEtkhapHtUsBZxzQqDgBJKZ+cSh1U9L3fQoSgkUbJQyesqxpF0tEUxam7z2WHoCuXyG9MJlMADlTETNlJ8uUDdVUVfOjz3+sSGpSRc119jFV3pSxeWuqLGvVUlXV2MzSUrgSAGME33k0BNq2JfZgDPiipBZBQsCVNYWxGBWMRMCkPnc+wpihLeqKqp5wUBTQ1Nz26XexMdtmp99hbznHlML2jUcIzoBVjBiKsqKsoKka2r1UqTM16XUUrmJ+sGQymVAWJcMwEGxEguDp2d0/zcbmlPuecy+//nsPpgyhmxGD0ozXRAfLzceO89gjf8ZG/ySf8bwXUeyfZNbMeNWNz+b//d0/5MaNm2nVs1GN5elhAAAgAElEQVRtobFC9YAYfQryx2fE0BPHzJRB6bo+1VsNhrZtmc93WZ4+zandE+zOdzG1YWMy445jM2azGU3TYJylrstUaOcGWLQLDlYHaCks+0DTTCmqGiuwWCxoHz5gNpuk51NazKShtCXTjQkaK/b3FrRdi9jiTCVVa8qnKtWa1DR6GIazqtamlzEuVVAVODhYpIq5EhmGtCwEJQYdPx8l1ha0XZeq+4Z078q6wm4YHnnEs9hf8sTJXarFkju2bk19LY3Sti2TzYpVv2Jz0jCbbDPf38N7R1GUnDq9BGaIkJqhhpiaNacelgT1+BAorMcUArbgYH/BsFpxeu8UfTsQggcTCDHQ9z2T2p75AcIZg5GIRB2D5IBXhwlKiAG1kTjv6ScQjZzpu5o+R1fyX5Ysyy5VDiKzLMuyq2bMRn428PeBvwR8MfA48Bbge1R150r2Lxis1hhjUVIzRhGDuNT0VCgQBYkOiQMiHmt7vPdE7YCOPswxatGgqWlptIhYjLEIDkrBG0/hIpWtU7O8GPHe0w8HoGZsVlghVIg2GDPgbCpY44cAxjD0nroQrHGIiyDpOGpS4OjWAaSkL+jrvnjOGYrSQl+i2rBctmkdcak4zNDR7S9wg2W171OXs6GlamrqwuGcozQKGNSm4DQEjymL1CRXwVWWYYjEWcXNn/EcJCrbx2/D2ZKNALKqMc4glRJ9S+87zGDoQk+/6kBbtjY2iRIxEgkBiqLGmHSMrvMYY/Hap8wngeUKCrvFZ77oufzphx7n0cceBqAsZvi4hXOOojtG6/e4c6PgdV/wIm7Qh/nwY+/h2Pbt3Dm5gS+4b8nv3n8/XfksjL+blZT0Eln1HWVZE2JLIQENPZ3WqE8VWa1RRJX5Yp/903ucOvEQ81NzOgkcvfMoN20eo97Y4NiRNLpGXW2mwMg29N2AuBXmwND0BX6IqcnuYFkuVyznPf1u6ie52JhRFjOOHRMCik5mTKsZMULVzPA+0vXph4WyLCirhsJVFK5CFbwqXdeNgaM58yNDJA0LE4ZUUArS0BjWFFhjsaZMBZmkwFmHNYqNDa0Knfg0/MmsQApLkCl7iyX9YGhmNcMQ6NsVsXEUjU3NwnXAe6EDQuwIfUFZFdQlgBKHiPcrSudwboJGw2J5gNJinaeuPD4I+wfCwUGkW3QczHeIoUs/ZIjg3ITKWWpnsQiToJio2BBQEyicoBIQn7LoYehRp8z7jnpjE1MVdMsDeh+wJjX/zrLsmZODyCzLsuyqUtWHgTc8XftP/dsiYizix2xNiGlsRU1jCgoGZzZAPEH3iSJE6bEWfN/hg6KSKm5qdFTVlKGPiBQMQSjKCUPbUU8mDF2H957Br3BlQKNQmYKqmmJsgViLER0rp6bsVzkGbNgUPBobUiZQxrEYEcw6AzlWKgXOZKSslTP9+IJXsIo3nuA76AYsUFkDhUGswUdPXC2x1lJ1HRsbG9iyQo0QGfuJhjEr5RVPj3Nw9OYb2N/bYWNjyl5YEfolve7Ta4+Ngi4jYlJgE5eC4NmYFDhbEU2J77szmdxUIzdlhIqioCgKfL8aq+VGMEpg4MmdEzz3OXfx+OOPsrf7EWazY4ikfovbmxPCEvC73L51Cyf/5FFuu+Em+vmSTj7C533OC7nzeOTh/Yr3LR6nLI5waqUMCq6oGdqQAqaoaAipUJJP/Qf7vmfv9En29vZYnE6FYm69/TaMq9g6fivldAIm4lyJjxGxlmgEbQNGlZltiMHRrXoYoF8qsYe2HehXPbWp2Zxu05Q1/arDTKAbDKqB0pY0zTQ1ST3ZpR8R6inO1JRlgXOp4q0JKegviuJMdVUAHxRrLDGk5885R2ErRNP5pqFIJhhxiAoxQiBVr1WNSCEMogwy0GweJT6xhx+beJtxnEhVJRK54aYbOVjMaaojKaCeNKCGwjoGP8cPgnVlOkYYMNGh0VAWNUNoQQJtd8DgLX0/IQxu7OMbCbElYrAUlEWNMwVD19PUM8ohoD5gNBK8Rws58zlZ91uNqgx4SmdQmwpO+SGg1o9jTGZZ9kzJQWSWZVl23YhxYLU6kfq+RcGIUliHrevxS7cBIjF6pEhFWoLOCazw6yZxasfsGBhToBR0rUekArWISVUuMQU+gIqjqEqMq7DiiRE0piEOUhO+gLUlxghWPaZwRAJ15Yj+gLJwVNbRtj1lVeNjYNJUxJiqbRauJMZIVa3Hq+zp+8h8vk/btoikYjWrfo6NEeuHNAyCBqbTClWhbVtW/Yph7inckmW/oK4a3EaNihAthL5HyhoNAVd2DGFgMczpbcfjp/dJUWZEpQXSUCre96m4UBwoYkFQodeSo9ubHCw7JpVL1WRtQ1mWZ6qfhhBY9gNF4eiHSDWtWLY9fd+zubnJvZ92B0P3Yt7+9vcQh56unadCOAobTU293OXEBx/nqLmRrp2xs7vH8dtvZPnoLjdvbVI3S+45ts39jz/AL/+xMkVYrgylq1nFSOuFYujo+x4rynI1Z3//NDunnmR/f59pNWV/sYPvT3Lfs+5hefAgt91wCzurKe1yQbM1o9OewShhEih7AQzGpqyf1ZLWBQIR2VtQiuPmY7diQ8Fyv6eqFF97+r5nY2ODqioQoG6mbG3fSAiByWRG3VRYq4jxiAXTwcbGBqvViqIozjSRLko3FtMZCwQNIQWSpUEZWLVz4uApigpnCmKEZdsTUWxZI5KCLyph+7YbubFv8VERfBoupQ9M6ymuKgnR0Ey36H3k2OYmi4N9wtDRrpTCwWrVgy8QHHVV0XUrQlzgnGE2mdK2wmp/RddBO6TiOiEEYjT0nVJWpOyraajcBhNmhM5DFDSAHzzWGIbOI84ioSc6Rxg83sD02BamKdnrVqzaAcRgi/x1NsueaflTl2VZll03fGjZnz9A221QuIbCzbDWYaziCotGh6oQwpCaeWrAmgnOOkxZITGgkvo1Bk1Zq5TpS9kUVUEkBXXYwND1FDaNcVe4EtVUHdM6OTMovYigoRorq1pUANVUfMeV+LFfWlFWDMGzubFN3/eYM+PtmTOZpxACRgL90LNYLFKzRrGoSsqiDgPiBwiCswV1VROD4AvAO2IX6GOHXw0s+yUmQFGV0JRUZYNqYLUc6PZPsGxXdBpQGwh9T+ME0YhRlzKgkoLHoD5lRW2bKmNGeGLnFHccP0YEVqthzDyeXQFVsLaiaw+oqorlKlBXBb3vmM+XHJ0e5Tn33MNDz36cDz38OL5v8UBY9YQIN29XLPd3mZZLmiMNjz3wAe5+wUswTeTRRz7ALbfcwt7JB7ij6/nGL7yPP/zjB3hwJ/L4fsCbChWLaokzhr29U+zuPEnXzlnOT0McOHbbNlUluOERvvF1f40m7jN1UNVHUdPwq3/4EL/93oc4CEdZeMsQUiXeYYgEAaylmNZUCke3FY2G0IEgDMuB0jr29zqsW9H3Ld73bEy2qaop080GYxwxCCoOH1N129SkWlkul2MF2TS8izEGKRUjinrouh7rKqJRorYIlsErhRF8SM2LxRioC5yUWGuJ2tO2czCeybFNPvu2z+LUXc9i79RJdnYewRko601msxnWVRSuZOhaVi0YqairluPHNnjy1OPU5THEzqjqmv29XfqhpagXrLoFB/MpYajwBzeAUWLcpx8OGPwSQ0NVOKxdIlQUZoqEmso1OFfQ9stxfFCTMtpjcefCWqJPY8OWdY0pCwYDvUTEpK+xq6498wNGlmXPjBxEZlmWZdcN1cjewUlmE2WwA4UFa0tsoWNmMGBtdSaDoxoxUmJNyliqH9IQIUAY++sZEfwQ8CGgKkTnUtPTCJC+0A4hfdGPUXHOYI0bC+CMxT0kTcUIMjZZVRnAGjSkfnn94JluzOi6jqKuiL4/875ijGN/SEcIqzPNGFNTUJOWl6nfZ+xW1DRPBbFVSTEoRSixk1R0x4ojxoiXJcaALSzD0GErg7HQz+doDAyhRwLEkIrkWEAHQQWESGEMYgo0NYpFjCVoBDWc3N1hq6mZFBP8EOikP5NdTeNxwnS6hWrKynrfp/cSYLlcMmk2ecELXsAH738IZyts4YhaorZie7vi2I1TmrCgD/v07NMFz8GpU7TRE4mYPnK0mFANT3LfjQX33nMvb33nbzL3ngFLH9M9mR8csLN7kjD09O0Kay2PPf4gL3rBvXzb3/q7NGGXuLtLRc8WexysLK980X38199/L13cZPCWjsDQp2axYi1iDM4UuKKgKh3zeQ+hxzlHu+qZz/cpbp9Ri2XZrjBGaKoJ1lcwBowhRFTTUCOp/64Cbnxu9Uxz1jTcSEjjXzqDCy41URVLVI8BnDNUdYERhzMGEYtzBUShbzusU3xI/YInk4AtDRsbU5rCMQx7NBPHpJkyaaZ0XvFBKcuaoqhYditW7YITJzqqqmL39IojR2v6fmAxb+nDgr3Fo6gGpvUMZye4coN2mDMMA4NvCXFIzW5tRR+WY8DnKG2JSEEMIMahMWBs+rw5MRhniD5lXYNzlE1NLBzzYTgTbK+LUuUukVn2zMpBZJZlWXbdUPWEfpe9YQ5qwZZYV+CKCmMcVbmJNRUAcR0kaoGqJRDxwVIUduy/GAjq6cJAVMbMmxKXPTGO/cqCMPQ9YiD4gMXQdkpcrWAci7IsS2JYpuI4saIqKvp+gDAQY6QsHFr1rPoFq+XAdHaMOHiEBiOgpAChrptU5dUaQpcCCYZAaZdoDOzvt5g+UtkGlRmhalhsWDCRfvAUZqC0G2yVtwCGKC3S99R1yf7BAjfbZOkKdudL6htejPgnMMsPIm2F16P0dOBarEtNLy0B8EhYAZ5oNxAUGzr8MOBDQ29nOFPTNCWuGlgtDyiLGaWpGXqlKibs7z2J0R71nqaZoUF4pN3l6LDi3ntu4a9+9ZfwM2/9v9iUbZzb49aNbb7g9pvR+T5tUdOuWvonVtjlaTZQHCVP/NnDNNMZ89DSqrIx62n3/wtf80U38oNv/S2am5/D+x47zf7pXU6f+giL008AkXo6oawrbj/WcN/Nx7CnTgEL0IpeCna1oG5q5jsn+Jav+wp+4KfeDpMtwukb6KuWedVzA8eZf/gxbj7yCHF2invvfDYf+IP70fJuHtgZ6G1AdJ9y2KAuSmI3sOwPOBnSvZg0N1OWNUYqulUaqkNpEaNQ1Hht6Yd2rOBriFHQtkCkTBn2aMdMd0DLDcQZbFlD6UALghZotAzdImXZgagBZ0qGEHj09ElO7O8yKSuiGWhuP8bWxiZFkYrsiMBs2iAhUBclUm8y73Yomxk2TiiN8MTpR9ldniCyS1ChMrfQuKNYPUaMBW3s8OKIxuLjQBRPDD1ESdWLfcTHjiF2eOkRdbhhGMcaHVJfz8JhrSWUDR4PdcHSdVR1xWLRMazGqrWqaEz9J7Mse+bkIDLLsiy7bggWZ7aIKGoFxsqjEUWwaSB6M6TshElFdwipKZwSiNHjXArWjElDcyQp42gEcEMaSyGmojQxKCH6cZ8FihI04oceMUoUQ2k9MVqqEkQUY0jjRKonxFQdsywanK1TpsaWWFsixmOsJ8ZAP6xwrmAIPX3o8b6nSFEmwffYNsCg4COmXJ+2oNYQ/YA6iKVDC2FS1ECq2jrRA6blEyznD1PO7qTZuoGTMsEYxWgPBgov9LoHBoaQCpj42CPaY0yHsYHBp8A29AMaDFWZ+o72w4BIZDJrmExniBo6P9DUDYt5iytm+NhhXJkyhH6gpAIpWK1WfNo9n86RY5sc7My5IWwx7Oxg2pswZWA6qZi6DRa7S6BlaBeUTtg6fgOPfeRJtjaP4aNgXYXqnMoKb/zav8b3/fBPo9xNv7/Pwd4+fkjNnZ0YbITTH36Mr/pf/g51+yS+DUyaBrUBPwiCUhUD+zuPs9w5jdZTDDNEKsTOWR58hGfdLHzWHZu8/Av/PHK6Y/e5N/NvfvGPKExPObuBZnoDodkG4jhsS8HQewTFVS0EMKJgU1Nl7y2iyuBbZPxhwntPRAgax2cpZaadcx+VqY7xqc9HCIG+HVIFWWcQGSu8GkFsJEShlAJCpGkacCV2HBZEY2o6W9ZVal6taciP5WJBXdsx4+4pq5ITOzsEXRFCgTUNTb1N7TYRX9N5JcQlPizxoaVtlxA7SgHrHKghhEiM0PeezgyYELFjDKgieB8pVPAxENUjViGCKyoGYDF0dHgarcamwDmAzLJnWg4isyzLsutG4RqOHbkXW0WW3T6L5WmiDITQAqlITogCUmBJA8UPoQMYmwAKXZ+qmKYQMVUFNeLQsZ+aLT1RfRozUl3axzDgQ8+kaAAIoWC5ZMxogmsMglJPKkIQCDZlV0xP1/VEHEe2b8ZQY10zjg2ohLHJrTKAQNstWfYd3WKJhICIIYaBsFpi9tKg6yZ6IBKLFBRjLa6yaAmxtLRxYGJA/Jzn3xnYrhfUwyPMZhNOseA9f/Qww5GX4E3BXG6iiytUWmysMP8/e2/2a2uen/V9fuM7rGnPZ5+5Ts10V3e7bbDd2HjAjplMbMdAZBJhEDFKHEXKTW5yFykoF7lLpERCsYSEJWIpCIQiQRQDdstu3NimMV1UpbuqT1Wd+expje/4m3LxrnPa/AOFSl4faelIZ1hra593rf1+f8/zfZ4kUdkBCo1Ukb5fEeMFVXOFkB0xCPo2IVIOeYELiuBauj6RZM9kXGCVxvuWmBlOjm6z7tYsNmdoAjI6rAFZr/FJEFJg/rzi5//yT/Mr//vfZb+rODYTzv7dB5hZx/iP3eTRkw/54e/5Iu3iEuc6hNWM9w4x0mCVQZicqlqzNzskRThWDf/jL/9n/NX//u+xXizxDmReomRibHNGZc4//JX/g/OH36YYRxoCKQa8D2g5o2/WSCIja3jn5jVEdptvL0asRU0ikLmP+bNfeYfb4WOKx79LSDDRBY17wI3XP4+69Rar1YJczBAiUdUbUnLEqOg6gXENXdegZMZkfIAQiRiGdN5Aj1ESrQVKGZwLJALBD3+u9RBeJJAvFTgX3BCO4z0iDTu22kAfPEoZlB4GrLi1P2s/JOXmJkflihTiUBOCwOQZ2hqqzZpMKay1NKIe+k81jMcl9z+5wocOoWCU3aQoJmSqpG8i+J6+d0OYVWoIsccYRXAS39VEIXB9wGZTvPco4QlyGBCdSNuQHIPUioBAaY1Mw/DpUmC5bmmamkW/xhQGQkIKMajnu5XIHTs+VXZD5I4dO3bs+MwglWbv4BSfakIKdH5N17doI0gxImRAy6FmIqUhmERtuxK7vicGj0YPQ9u2xD2GhFRxKE83GhSkpJBy0DdjjFipyETJi4IOmSRjUwxBOFIiZIfRGQFBEmooupcWYzwkhY+GFAxZWRLisNs4vCb44FCabSBNQiWJRtN3DVIZfN2xni/J/ehlJUKXWnQSiEKTokZlEh8jm7bGxsQUhfZLTsc1ubiiVHPW80+Y7Qt+8nuv8xsfPWTRBmI4wCsNwhCiJjMlUU9QMkMrwag44moR8L4lxYttEusEJUbEqOlCIPkGpQTT6WgYmE0kRE/Ec7VeEkQP0aHoOSlzqvk5sxHs5RPq9RlyMmF/csS1kwPe++q7/K+/9ndYfe23WT5+n8WjKxbPlkxGI6bHmizP6ULP1cNniKQgKryLw/BvCs6ePmcSNJktGKealAkcAq800+kIlWpiV9FenlEoSb1eUJQ5vavAJ+zE0gYNzvP86SN+/E9+id/+2ofE6pLDgxlhc8Ff+9kf5UY6o1h06ODok+To2i2u37vFU33AQlgYH9KvWqQEpCQlhQ8RYyRN2w2HGErjYoe2GT68UNIMUiZici/TWVNKg3WboSdVCIGLg5LeB4+S+mUok9UaqRVCaMxW0Qth2LcMyRFiT2ZKyjwfAndiREmJtobSDJUwXd+j1PB6L3YOrbXEFDg7f4aUFpJCyZxReTAcpCSBDw7XNiQEiQ5jJCooqt5jlCSJIYwqywoQgrIYo2OOSgqJIhJREkIcjKlSSUIEpXjZp5q8I8SAdAGZGwSB4CPe98QYPuVPox07/mizGyJ37NixY8dnCIGQCpkkJrO4TaDzDp06ghek4JEikGcjyrIEQFlFjB5lLG0b6boK7z2DdxUyW6C1JSss4Kj6Ducdfd9vB9H40hobfUOMg622LEcUxWAbFSmHZJEqA2nIyIeb/5iwRqGTQcgckibEZnjelBDJobTYFsdrjDEUSHpneTy/YLOZY10gth1XnaewBaIV9Mahy5yZSchMI6Y5PkuoQtGsFzw/f8KNKZTtFaRIg+T2nbd49OQTCvmQH7txm6Bu8uvvXtKJjCrWRCxNr9F62IuTskTQodQEJZfgSkJUFMUJUuUgLcF7lLb0ruPicsHJ8QHWSopxQeMqEgKjI5mokaun/LHb1zm9scfeVCCd5KOnLffXFzRXBX/zF/8av9f8Hb71td+g+PAZp5NjPvrmd7CTfcpsSr+wzNsN1+5cpwuOq8sLJoUGHwghgSw4uX6Xi2fPmZaev/3f/S3+i//mf6Y8HpEdH+G6NUcHE6Sv8a5BKohJ0nUOLSxd3dOUjrpP7GVT9maKPK/4c//RKT9RTOl7xa/+yj/jbj0hrR9BmaFmJ4zcisvFGVfLC/TpPcZ5Tle1dFZu7aF62zPakVKi6yLGSkJsUUaSRMQWOX3vkUkjZQAhEAKyXA+7kknivUdrSQxiSAJGofUQuuNdJNpISoGyzMnzkpAkbdtSVRUhBiBhjGKUjcnznCQGm7TOM4zNYJusO9hvFbkxdF2H1pqubzgdTZFCUzeOg73bJD28D2KMgyMgOAItMcXB8h083kW0Kgi+IbiEURKlhv1OYyyWglKOSX0ibXcaTXph1R3ePzrThJDITM6BKbBhg1Ce9XJNLTwAvWsJ0X+aH0Q7dvyRZzdE7tixY8eOzwyJYT/RJ0fv2iGBNAS6dkMMAlJgVBR473DOobVGSobKCTncdDs33KC7rfInhKAc5Zgs0HUddV3jXLdVGUEqEHHYn+xdTQgBJTOaNqGU3A6XQIJBzNTIbd1FdAUgQRQkIba7W4OFFTHsbg59lZI8L9HakAlFiI5m3RKrFt90JOfphCU3grIosMpispxqtWZ2sIfvIsIo6rpmkhnKDG5em1KKC5Z1JJoDunDAK3cs8+cfMBaPWTaOIpxi5D4ED8Lgg8L7ORmRwmaDHdEKTGZwrcHIEq0KlC5xIW4DWwRSDj2YXddhs4LYN1ir6WMgpp5COT739l3eup5TuBW+ucKmjINM82DZYJVkvVzxZ3/8T1E/uWQS4cEHD/nij/wwyddU6xV5doh3grZylNMJrj9HKYNkSP7sfWJ+ccn8/JK9e3fQvuZ7vzjlvaVm1VQcHkzQsuPL3/MFnHMI6RmPJnT1Gt91KGFZtxu00jRd4vD4hPnFJxgTGMklwkl+6ed+kmz+EVluWKiM52tPXl/hVck0lyz6DZlr0CLg1XCdSQUygRGDshhSJIZEjJ6+7/DeM51YjJF4n4jRYaxEiITWihgVTRiGu6ECxgx7gIghUEZIUhoGKCkH26v3niSHAc/7YS9XG4G1liHtF4wxZJMCKSWBhPBuMHiniEiRqIYAKqU1CE1d11QbSZ7t41xJFGkIBUoR71ukiCA6kB7ItymzcrDqJk2KAp8ixqSXe4xa6WHXUdlhDTnGIU148AAMHaUpoo0lRtBJIYNA+YDoPCl321qZFnYVHzt2fKrshsgdO3bs2PGZQZBA9STf42KDiw0Ih9WGICIpevp+gcMAHdbkaJujjUQgBhXHGrrkETISwqCYdF0HUuKjH8rTtzbVEBJCaJwfuhJJmphqvL+idQkfDyEZvGvJ9R46aLJCIKwi6J7YryBpREqDsifBtz3KDnuTMSVSkmhtkWl4dAEaLzF2DyWnQwN9F8nDJSObY8fXsQV09SXTPiM774mHEeEUelwSUqRNHQeHJWs3Q5Qt1440q8W3mRzdZG/2JpmsOH/8EV/Yb0jnlxwVr/CtuaX2AtX32FGFSAdY9lk1D3D+GSaOyPIxVo0RwoJqSdGT+oCWiYhjcfmUwt5kUu4hvCZTkax7xF/8XMENUyO6jssoydtTUlKoZ0s+ty555ObMTwXHytBLRdxckV074duPL1GNoYgzikmOrCeIUUAqRzkrCElDkzFJGnWVKMKIRuZsHlxwM6/5r3/qx/mf/vHv88RMGWmNWD3ir/zkX0ecrXBdoDqGNBpuhppna07fukufOlb9Gefrp2jhkEHRXjkKk5OVgrMrie1HiD4wyzq6omSUIj/3gz/I//J/vUt7/ZhYKESS6AySdphCDup4scfy6pLVakWRjfBtT5d6ersiyzJym9E6SRcjudaYJNAIOqNwziGFRAggxeHwAYghElH4XhG0oe0TqWuRQhB8QgmN0gJjFEYJitwQYyDLc7LMbvsoBZu1JEmPzh1dncAJZoeGur7CVYG9vYyT0xPuf3xJ7B3aSlI0+NBitypoTJboDJqSGCWFaUkuUK3myFhjpMR3hkk5hVqgiwypDElLlBBooQfbqxQEhpoT7TTeJ7xOdP0GJzqqfo0LG7xLWJtR5hOkVP8hP5p27Pgjx26I3LFjx44dnyliGIrYX/TpCSEQ0iBSIDEkP2olCDHSdC22NwQVUEJsC90lxmQEH0hp6OJr24YkB3XEmAytB1XjxfNrPeyiCaGQwoLoSCnQdTVCaFLwBNkMxepWo5PB+Z6qvkCKHKUi2khMMkgz7GsmIPhBwpRSbnciBSIasqxg7/AIGo8tEr7padYBm02wNkOkDqIgJIkTBpY92VSD8BycHpBay4MPP+L0mh9SMieSPM9ZrhekqFilhntv3KP+4Jxf+Jmf5n/7P3+Dwr5OlBbEHkpLnGiIrsG7htQPQS9SaHzvvqu0BomSbNNvhzCXp08fo24arM5QKUDTMVGHiG5DTAJrclRtuDy/ZF9PefLsPvq0RK16srIgjQo2znPv9l1CPmbxYEmqIvpzrwEAACAASURBVBePHKKYUKiMxcVz9qY36Z2hFyusVHRti1KaPTtj/slDpjdmiCqQVh32WIBIdFVLqQxhKVldNty7dovL1UMmY0sth0qY4HsybSiKnE17RR/C0EU6iHyDhdRHpIDoAyOhcH3HzdM9/t03v0EuIDsYMd4/Jop9TDhCCM1kYinHAZ0mlLmmbdvB3toGmtoTg4JRjskLNssronfoIoPoEEJvr78/nEIqgPTy91JK9Nt9Rq01UinY7hMaK5HKIdWgTHrvGY1GQ4+je1FFM8KlelAuAwQh8V4TPOzvz+j7FqUqpATve4RSaJmhtMGo0RCUkyQuRpyUaGXpQhpsvCGQYiSkRFmUJDTa5kQlSGqoMgG7tfFuU5FJIMFvZ8MkE0loYpIgFGiDUnG4npR5qcLu2LHj02E3RO7YsWPHjs8U1uY03QIhFKSh4iAFkCLDaIXQGUJIUhpustd1hZGKPBtsgAGB0AorcowJWzUwIWJA64zMli9DR9KLPTEtcM5hzQilBEhBTN22EN4hlcD5NVEbmq4ntyPqvqbqz7BmRCYFShhQBblVtG2Pdz0x9Sgl6boG3wcEBs2I5BJHRzeQUdDOK0LhMdloUGSalhTPILZEFFVbMUmKsGqxpuDy6QUHuaVqazKVU2hNt6lBeHoliUmRjWcsNmvevjXm/d/+Vf6TH/oBfu3rT5kVR/j8c0S5pnPnOLGhr1dkcYwImnrTEkgYG5juTZBS0vcNKUZSFEilcTFQ1QvEeEzuI2bRkC0sIk4wosCogtV3Kq7tvYFbr9l83HGYGULvCbfHuKg5vvEKVQN7+4ccjMaMyxwfFZtuw9NvPyU/zek0ZKMMicY3PUUqWS1qdJthL3McCrlWfPn4Vb5hAxjB3/zrvwyXkfSJouz3qR5G8sMR9z/4fWZKsFrPyXLF2FrazQadFG1doawnt5YQe/JRCa3DeEdbNaTMQewIdPyN//IvsTi5xypukHIMIafgEIViVT1gef4cG8ecHEzpQ8nT8zkuQXSSPoLOQREZlRl9U1M1K4zWBK+IAZJIKClhG/AkhGIYJCVS6iGNVSmU0mitqLuWLMsQIiKlRCmB0TlZliGlfDlEOuco1QhrLcIUNJsVfRSkWGLNiMXyAddvHfL4yQNsfo2ExweHlWOsKQFBlxzJJ5SAqHs619A0NV1dEb2jkBaDRMSC3ExBWNAZXktIgkwURAZLrlQSrdXQE+mG/eVIoI8SESNSjMi8JooGZfQ2eGhX87Fjx6fJbojcsWPHjh2fHbYJj1pb6IcbZyklMWgiAtCkmJBSbHsgEwpJkgrn41DrkRICgUwQYkQbQUTiXU8IoPWQXOm936obgwo57N8Z2g5CCkMAifSEEBApIrUgxB4P9G5Qa7TW9H2L1gEfHVpojJIgPG29IqYOiGTZCGNKYkj46ABBGwIqSrLZjKZqMWRo75DtOa/eOuTBx+8R+oAZ79MFj04Wa/cJEZyyPJlvMMUrVMsz+ralKDXeO7q+owuWe7duITfn3D0Y8fDxt5l1ApNb/HjK+WZNQ0vvlwTfkSeDDwnf9fQhECOEMAQXCWUGlSwlYoj40LPcLLGFRUvFaXFAuFJ4aUjRUq9rRu0+bqXRaG4evYFqc64WNfWkx9cgRMF4cgjkKCl5/uCc2eERXe2wmaZbrzm6dUojHMpbCmnRPiNVDSM5RagetxZMwoQv33md9x6/TznZ5+7+HVb3n3PgZigC3api0T/j2q1jJkLwrG9ZLVbcPD0k9o6+bjg6PKaPHefn5+yNjymLMY8e3WeUBJOiJGY9Slquuo5NF6laRR8N+xKMXOPb+yAiceM5KA6Yr+fISc5oPOFEHXHoJW3tsMqQck1uoW09VRS0daALAe813gesNUOIEBADCDUMlEIohFB4HxmNJi/VdQCtNYiAlMOBh7UWYwxt2w7JwtvuSSkEXd/Qt5dsqpppfkDwibbtONyfobXm8PCQq4WjrjeYTKJlIEkNyaCSRkRP6Hv6viVER92siMGjhEZHg5J6sF2ToWSGkgapDFFASINLQGiNUookBZ6ELIb0WR8TQilE1Eg39Lgqk6H0tlZnx44dnyq7IXLHjh07dnxmEIiXaotWFq0tMTl81NuhTqOs2qZGQoqRmATOe/oY0QKETIgEOoI1Bh9rnHc0TcLoMZkaI9BoNTwnejuoxkgKkNkpiRwhIomOmDyknugT+IBWmrpu6IJHpAKpDMbMyIsJmTUI41Fe4voKHxqUDlgjCd6RgsK5DQJFbgqycoLrBdn+lJAbUrekW/4+3//OHf7CD32e6fQ6v/d73+K3/uAJTZt49mDD7NZrtLXAMMOpKWYsWT1ZMLI5hJ698YR66fn43UdMC0FuxxyrxM9/4TZ/8O6HfIf3mWY5Gx9xrqUwlswXVL4iMYTnRFq6NsPmBUJmCAwxDWqZVorVesXegQdZMAkHtE8ssRxhdE7ZeMLKIGVJzODW9QnLszlv2ps8+ugxszimmdeYPUlLh/GJohhRu47paErVrFFSIaqIsYL2oiCgaVcVvkpErTHNHku/Ae84sILTvGSx7AgPHZNnBZu2YbRvEOOakxPLar2gLK8hWXN0eEC3XmMQ9D6xWlTkuUYmRUiark9kdkp3tuBA5ax8RV5qQlcT6ws41whf8X2v3eHevQlts0JnmvlyD2lv8uvfbFldPcZXBXq6j7SGPWOHfcjQsFlfkvoNxgUSiuW6JooMYzJiYDgciWLIkXnxq5R4F8myDNcPVm+lJEVeDAMZg9purHkZ0APQNA0xDv2pTbskqhZUQzGCxfw5p/ujYTfYC6qqQakxru9wfQKZ6PHImKOVRiKQBKwRzDdXrDeXOL+B4BBeYcQUGwtyeYBuNVmeIYNEZnJIoJVDDUgvhkArZTRSKkJwRCIBj+trXKxxrsX5msyMkFITQhjSkHfs2PGpsTOQ79ixY8eOzw5CDGoFg2ohpURJzfDjTEKSg7oh5VCsrjVhG0GilMLFQAwQt7tkIXiqes16OadtGrz3W4vqUDPw4nmsteitQiLFoLxIUSDFCJFKtBphzQitMkIYrJ1GF8wmN5hNb5LZKdPJATrL6bqOqqmHdE5XD+plaF/aClPyhNgRRaIPPV4EohJ4bZBG8lN/5vs5nixR4QNWZ1/n2uycP/8jnyPvL7hRaPKmI+8lozSiw1J3keunr/D00TnjbMziYsnF/adM1IwYRpw9bwgN+CeP+Lkf+UHu7CdStaRdNxCGQcP3ga6viMERU4exkHCk2GN0MSS2ynz4vqgMkKxWG6QqKeUMHSYQxqRQIlyOkiUxZTS9QOspOo4RjaU7d0zElNgIYs822EggREKoHOc19ToQNppQKeLKUJ1HrBvTLwLHk+vEXqFTgVAZMgr6+YosSUqV0551jLsxXnl6VhT7PV6uiWi6zqCUQCFQCSSD2mWM4fJyzmS8j+sjUuTkZowWOakXyNbily3j1HCklrxSnvG3fuYt7o7u4x//S14xklsiY+LmfOmdfS6fP0XGgPM1y9U5y9UZq805m/qci+cf06zO6Ks5MnSMsoJrByfDnmCMW7UxDLuzW1U+pSGA5oVF1XuPMQZjzKBCbq9ja+3Q9xgjfd+/vNZf7FQWpUVIhw81y9UFiH6wbhMRQrM3O6RrA13nUcqSotq+78RWmR6SeHtX4XyF8zXaJKIPJC8InSH2BtFEUpvoqx7f+cGuGiJRJaJKCC0IyeOio4v9cJ3hCKHD+Yaw3dP1rh1qSlKk6x2InRq5Y8enyU6J3LFjx44dnx1SIrlArgt0EYn9kk1oSXbYYZRCEaN8adOTUqJf3Chv++98jCihcLKlrlrOzq+4PL/i+tFriB5yW+CdoCg1VrPt9GvILPhk6Xuoa08UIMjQJielNShPMImoJKU9Jbf7CPKXg25mRzTtmmbTQ69JVuGdxpqcNghk7gjCo7p9Qmxw6RLnADHChzGHszuYtOYLfzznmr9GtRizbNdkecvYPeI//8v3mF92/Otv/gELPsemv062mrE3jhjxnNMbb1ItBAfFGDvb5+F3nmNVz6u3X+P5kxW5uMa7//wjvvfVY8rRmscXV3x8vsZaidlbsWl6stRzaBsyEam7RF9cZ+Q3WCExsUNoRe8cyYypO1hUHVOOsQ86xicZ6mRGHTeE0KKdRhSWRUyk2YT2as1Xbv0oX/31f8IP/MSfYJNHMj1C9j0ilkhZ0nnHgSy5vz5jOn6F/HmPWVxj4xTVSuFXl+yrMb5JuPfP2bt1QLlX8DNvv8m/+t1vcS1eR6sx4zuPCAcd83BF6TOOy0NWTeAov0tXLUl9R903NLUjCsfe7dfwz+eUk5xL18HTFfvPx6iTQ6KZQ+4Zxae8M7vk4PqM8um3GI0O8MUBl7bBy5brrxzA82/xN370Vf7xV7/OavoaZzXk0nM9Leierymr57z9+ik/8ae+h6IoePh0xb/46texvMNZH7mKPeOxRYUGj0aKKTHFbdiNR+lEXhQYmygKRQgdfRfJbU5RliQCbePo2oBWGVppYmoQ0hOSw/mWx48XbBaR473BFqxtz/5hSdeuCQH6JlDaKUmC9JYoJFEmhBRsqooQe+o2EskQcUamNSYy7DLGnm7VgfEoF1BNgWoLbJ4jx0uEVkSp0FlOSpoYJF2Y43yHDw0ubqjbJSFVON9g1DX6ziOiZVsvuWPHjk+J3RC5Y8eOHTs+M6QUIUakksikKfIxzjd0OGIPiYDgRdT/d9MrXzxeDJcxRlz0dK5nPl+yXK6x4pLD/eLlLuOLJFchXjwHeOdf7pCllEhxm0wa5XZfU6KVQWuJzTT2pQVRgogk/NAdKCGzE2IYElq1sjiXtpUMkiwvUaonkFDCDJY933EwLSisxDWeMs9JOpF0gVuvkVZyMDvm6Nrn+Qf/9D6nh/v82j/6v/mrv/CjTPIJVT2nXwdUjOTWcnJ4wuMHH9FvEq4KKNExy3OWyxUiOSYKXjk54uOH36aRgqxu2MsN7cUTyoMjJnZCu17h8gn5KCfpnLquCUGQhEcmiZ7X5PuWrgjIfNhlnEqFzgpcjBAVo/GIql4ymUzom4of+MoP8vT5Y44O79L2PaMip1q2JBcx1lBftmASWlmCa4mNo8dzvH+C26zpK4/0EpFBXW8YHU4QaoqNAmk8y9UzRhPNMq2JMRAcZIVAKlhuLrFEkvPk2rCJUNiCi6s5d6ZT5m2DsSOENjRtRVhmiL1BBa+6jlffeANvJ2y6GjsRFJOCy8WCcjqj3lQoY1jpfS5aAZPAgeqpzh9x984RP/JjP8TeRKNVQ64aLp9+xH6xz0985Ut89Q8Ubp3wjFAkotSIqEgEtFFImQjRIZNASBCS7TUcX2TwANtBU0m0lsB2tzV6lAxUVcuqWnFxcYEII4qiGJJcnWMxX3L9xinz+Rqjc8bjA6p6SfDD900Ige8dIHHOU2Y5VeiQeU6MHmsVspX4CMIFhICqXpFJj5aBKAJCgbIGtCGQaJxHaEVuHSH4bedl/9KOWxTFy+CrvnckdnbWHTs+TXZD5I4dO3bs+MzgnWOznlOOJmiZMSpOgAInnyBEO+wtxm64ixYaSIPNkuFG1zkHDINfTIoin3J8dIumjnQu0QdPokcbhTbQu5quD1T1CiESRTFGCInZBvqkrfwRwoSUPAJDCGFbk9AhMoPRGiUVXb+hrld0XYPSiUwfY8cH1HVNSoLoNAKJKgtsrhHSQe8weoSSBb5f0jUtQuyRoqVrlhzsl6yqFfsn19ks5qwvn3HzeMQv/qUv8uu/8a/g9hv8xtc+5E+/eZPuuaJfrtikNae3rkNUqPqA/+/rZ+zlE3xasH90iNKKyvf8xCu3+Edf/S1en7Z08Zz/4Zd/EZsiU6F48skzZodv8vhZzT+5f8XTJ2foazdZ6gKvc2QMJBLyckE/9dRFRu0dpyfHuPkSqwze96hg2Cw7ymJE6zY8uXzOeFwyPdin9x6T59TrgBlPQeVsuoosK0i9QPQat4rktUL6iERjQ0nwHcknXNZitWZWlZy9d8G9yQnPlu9xeDilFVdMZhplRriq4fzpEybH1xGmp75cMEXRLhpOyiOauae8c0C17NCywHeK49kRc/8xq8Ulh28UJOupZcLZglbA3o1TZF7y5Oljbh4cspwvcd5waRv+32/1PO8VN+sz/quf/nFMfYLZXHKqr1j1HiVqjGq5fWCIYU1wV/zCn/9h/v6vv0tqjtk0ESci1koiib6v0RpyW5LlkryQKJW2e4KQZTlaa+p6CSISgkNIhXeDbbscWbq+5dHDJ1ytzrhz5xUe3L/A2hwpNMZkFHlOU0WqZeRwdou2FrhKYG2OwBIDOJfwDoJPJO+QCHwMyLLAxURQkRQiSvR4F8jLEX3aEL2DtiHIHBU00khimzCFJfjIpm22X3PE+5YQOqLzRBLzy+cErxBY2O1E7tjxqbLbidyxY8eOHZ8ZQnBsFlfUm4phB9Js9xELtLJICQg/PIgM+1zfVSJf7DVmWUZmR9h8zN7eCW+/9QWund4Ydh4VaCORUmxfM9C2HU3T0XceKTRFUWz7Js2wa2ZKrC2wZoQUGSkNakldb/C+BzHsobVtT997vI8EZ5FMyO0hSoyRosDoEmWHtEopLEJalBzCUJCOy/kVri9AluwdHNK3HXvjCV3dIRJcO5nRt8+J7cf83J/5AvPlgvU6sLwSKD+GRtI9d5w/uSKLI67vv8qdw7foriK6U3zy3gdwVRMenfG6KfnRe69Qf/SAv/3f/hKmfcC+XhDXD3jtuOREdNyzgb9y+w6/9MUvc225ZNp3jFLASIek5Uy2rELHgRpzS0xp5xvkuEBqQwgCLS2ZygkhEQiM9mfMl1fs7e2RkmC12hCEZt10+CCISVGvawgSXydEp9nLp4R1YH1WkekprgpEJ+hjT1t3lHaPq4+eEzdrVNlSXvNYk1hezakva2jAoJES+qpBR6BOjBkjWoPbRFTIWM9bLh4uiLVAmAl5Xg4HE20PQjOaHvLsfIEZTVC55cnFGcpo/KZB1B6DpizHfOcbX+PN44K/8OVX6T/5t1wzPdPc0jcNksC6WmEO91lu1jx+/Ij92Qjqj7hzaJChQcYhjVUpQwgdWkOWW7JckecWYzRKf7fj1FoLgLWWvu9JBKSKaBsxWWJTrVitVtR1zd7eAZeXl7z26uvszQ5IadiJraqavg8Er+jqBEETncCYfGshTwgUIQSUUhA91gxJssJqogaXB9JY4HJPGkc6VeN1Q8+GLmzofUPrNtTdihBbmnpB1y3p24a+7QalMwpc55Eomqphva5edmPu2LHj02WnRO7YsWPHjs8MXdvywfvvcnrrHjor2T85QBqNoMAaBkuf8kgxZEWmqP69MvZBPRxurpXJEaJA7xVoIeFEDLUJ+oUVUKJkhosJo0d0XUfoJWQKiSQzg102Jk8UAoElz3JI7TYZ1hCS4OpyTZFD1wUkI4LboGVGU3vKMiczI6yJONcgVUKbhIgJLTXaaJJzEBzBwGh2zN/7+7/JL/3sazThGdWmJs/HWKXpfEcXHNNxybNH9xH9gp/6vtf55r/+gNoVdM5Bozm2d1EYlg9b9os9vvF73+Cdt95kfXnGxF6jelxx7/Aav/8P/hk/+/P/MT/yxVPab91nb69lvazJZMHF/Jy0WqN6y+trj/eJ45O7fO35GRsreVBfUoeGq8OSjU6Mo8WuBPbahKduzSxmWDPCt4LxeEzr5mhrUCqhtWZ1NWd0/ZDgNSlKlM5pPSiTI1XGjeObrM877FygQs9kNGG1nvP0/jNyITBEpuaE5fMF59191pvHzE6P2D8SnF99m1uTVzhmwuLJGcvFnNHdQ0JUFO0I3Y95+t4DjveOyfanLJ+vef3zN3h6MWff7mPdIasPH7I6XyEOxigl2VQrnFXce/3zeJHYXK7IhGC/HFM/O0MnzfT0Lr/5L36Lr5TP+dmv/HFSU6GNpWtaQj7loukpQqTYO2F+1bJsEyc377C8WDATFZ9/6x5/cLUhWYGfB7o2IdRwMDKdThmNM5QahkYfeoy1KDUkl4YQWG/WSPXiYMSRUqSua+p6SFudTvdo3BqtLOfnl3z/l79CNX+AUprp3hSSobA51TziXUcms22wz/CcbVcTYkfvKnzfEVKkGI0JMoCJhFTjo0cUEZJEbm3nWmgcNd5vSL14aVE1JsMYg0w5UkLwgy1ckdF2AUKOEhItcyQWIXa6yI4dnya7IXLHjh07dnxmiCFwdXlG3fUU0xnL7opyXDDdP0UYPaQ3xjCkRwaLT99VZF7sMb7YjUQUyAQuapQ2FJkF4svuyWF30pPZMa6HpC3EhEiSTOf0rgURhroQk5DCIMiQRUHwguDjUNVhJ6yXDdaMca5lOrrFerPE2uEm2loLIqDNkEKZa2jrjhQjySfoPE1d46YHODnijePPUwWJNSVCFzx+fMn+ZI8i36Nta/pguXHjVUDy1mrF9J27/O77H/NjP/QD1K0nnyuWz2qm0zGryzPeevsm682CupXo0T6+XuBi5O3yFX7rV/8pX/lPv4+s0CAzjDaEqMmynHI6Im3gYhPQ2rK/NvyJ5YRZsc+HfQ954v959pgPnn2Hu6/dZuokx1qReUVEoJWlrjwNPdpq+hAQLpJZg0WyPJtjyik6GfoQCdpg5GCXHOdjnl012D5nkxpEAluUtFWNDz06CcacUMymqGmkiyu+9EN/kovqY2ZFQfXtDhcT1VWiagW33rnFs3rNaXPExUfPyTYHLFeR7mrJ7MZt2g837Hf7bK4C48MTvvHu75B3PW9/6VWW/j66yDm8douuiQgS1dkFx9dPqK+WxJC4uLpk/eFvYjaR77t1QtnViGxCG6F1ESkXXDsYk0i4viOkhsPxiM3ZM2Z5CezxwXceUvmAKg7IGogbRU+iKCYYnWN0jtYS5zqk1C8PT2KMhBDIsowQ3XBdJ896vaZpWkiD2t3Hntl0H2Xh9OhVrq6ucNWGzGYslhdMRkc0m47gNCoqhBrSjZOApqtp2hVtt8aHmpgCIURE74gqAg6ZPCn1ONkzpPIIQNIyHOyYKHHe4/tE2wQyOyEzGbm1Q6VPkgQiKVmUlEgRhq5IckSwkHbprDt2fJrsjm127NixY8dnBiGGCoYQHKvFFTF62q6iaTqCF2RZgVJm+7clUnzX5vaHE1uH6g6zLTY3/17PnFYGrQxGW6TU5HnJZDJjb++A8XiKQG73GAfFZCAO/ZNCIIVGST3822xMDII8m5JlIw4PrqNVwd7smCzfVkro4esaT0qmsxHedRgl6eqK6Hq0EogYuLi6YrHe0DnJe+9/h03TkBUleTlCoRBIVsuKpovsHZxQVz1pc8Hi2WP2rx3zO//mG5xdzdksGpYXNaFLiBjYOxgjZCQJQ9UFMlsSHBSy4I1bb/LNr38TGy0PP3zE2cNzFAUiGhaXG4JLqNu3uIhQbXpuZUe4+1fcFTPMk4ov798i9o77fs0j0bDoamb5iBQHe3H0ES2H4vu+7wkhMB2NefzgIYuLS0QaKiv4Q8N/CIFRUTIajZmOpuSjgmw8hKxsNhtyY6mrNe3K8fTROY+ePOTu67c5mz/DOcf502d0K0+sJLPsiFlxCGScPb/g8umS77z3MaWdslk03Lr5ChFFqhKiV8yyKe/+zjfACQ4Or9F1jrquefz4KZt1TXCR2DnadYPqA75tSVJw79VXeeXuXW4dn3L99CbzqxVRZszXNdYoxjYi+znad9A1xLYhkwkZenANkPPxJw8RKpKkoywLyrKkLMaUxRit9UuVPUbQ2iKl3Fqo25dqpNYa7yNd61ivN0NfZBqqccqypO+H4JrlcvmyEsQYQ55bmqZhPB6/HE6J6WXFSAhuW/Hhiclt/z87YgTfB5xzBNcP+48kovBEEQkyEoQjiDA4CNTQEZnnw4FNCMPD+0jfe2IYlE+BQoph+CXJwUHAbojcsePTZKdE7tixY8eOzw4iIbPA22/e5PDaNc42S2Ru0WYNgFGS8f4JAF3X4Jyj77aBGwmMGjoklTKkmLZJrEPiatwqJC55tNCEFBFaIY1msjcbCtxj3O43NoTo8L0nEYhyjDVDyEhKkryYEuoOaQp0lhGD5Pr1a0zHBVdXhsvL53iGzj50TWYMQkpSMogo6LuGKD1CSyIZajTlRuPIZccirvm3qxNG60O+L3uf/eYpdTZB2wNG4YTlt5esxYo7b9yicgVvZ5L3f/sZJ3u3YaTYyCX37D0uL58wGc9YXEWsPcBmjqYOOJNhswlmXBBCxyy+wj//ux+Sfe9Njt5QsDzn1B8z3Vxn3Qf0oyV3R4f4UWDFhuLamNV8w1vHX+BeqcmPn/P+0/d450//OdInG5r1MEC0fYfJM+bLJQcHY/ym5WDviMuP72OrCqda9mef57GXdF6RLi6Y7M+oDqZQTJlendO0S0Ql8EZS6JxbkyPai2eMZmPWHy2oFmdMTxWv37rN8rxhsSo4mt1j/vSc8Szj3ccf8dYX32Tx/gVvTa+jNxWndp9HH18ynl3j7GHH5OSI9vma9TxwVE54FceT7Jxr915j/uQcxjmnX3qHaXlM/+CSs/kld7/4DlV7Se5zNtUVj5qe29ff5um/+T3C6g7Rtth0xWiWkaIhekXoWvokcF1g79oJjfeI4hZRZJw3PU9XHbUeI2RGYQLXbhXs0dG5C27fGDOj5cHTC57lE8LYwFVP6D1aSISAolAoJahXG1aLBW3lsHmByoaAqCgacm0xoeTmtQPoL4luibYGqQq0nvLsYomSY6TQaGOHAx0faDdroq+IfkVINYgeowy0juQ6kuhBdQgRSNtxz8UOqRVyu8/YR0WUkqjSYHtVkT56UueJMSGVQescIRXGZEihcWmwnjfNihDdf4hPpB07/siyUyJ37NixY8dnCImWI954/U2O9vfZm2VIGpKo8HH9/7P3JjG2pvd53++dvuGMdWq+c8/dbDbZNKqDAAAAIABJREFUpERKlKgJkiIrhmBHDhAECILsDATxIos4QAAvkmyMZJNVNkHgxHACbRIgECQZnmBJSOhIlNgiqSZ7uN13qro115m++Z2y+KovZSDrNho+P+CgFvfcr6rOre/Wed7n/38eOrem7dZ0tg+08d6idEBp0BqSFBCOEBukspgkoA0I8VmyoyaE8GIE0HsP0I/TaY3UBpNkpPkQRD+WGZEIFEJIvI8vxmYHgwFKGtIkZzjMkcrjQ0Fnl/hY9C6kEi+uLVDEIFAyQasUgUGIn4y85uMRZpDhY8BGxR/9qx9wtpKE/E7v1KwKsqg53LpDO5dU55I028Y7yWy2zdGjZ4jKkVnJ6vKaVGaoaAhtYJRPyMyQ6XhCCAlpMmaxrIhBYzvBa6++zW+8/Wt8/599yHb6EkWZEuMAWQ+oio5iVSOiRqteMMcgaFrHn/6L7/BKnHJ/uE86HHPddRiRkCR9YmgkYG1HCACKsliTZCkySo6fnHDy9BmuaUiMRkuFVorT41Nc2dCUHYnu9/LaxuJdpGs9Wg3QMiNNHNt7I6pgeXZ6ATLDLTqWR5fsbe3imsCDwwdIKwlVpFk0nD56zjAfs3vvLvdef43RaEQaJfNVyf23v8r19YLz41OWlwsuHh/RrFtIEob5mOJ0ia9gd7wNpUU1gbZxiMGMfHqP6lKT2VtIqTEyYagnhBWwBLEOxLWlrmuSLKWtC5IQSLVgsbjm0fEVIt2mtglNDUMcSfGc9Oy7/Oobmnd353z9dsPf+NbL3BKecVEDCujrbJQSZLnBuor54rrf732RIuyBgDEpMfTPH41GvdPue3c4SRKausUkOUhBG+eU7jlVOKMVl3hVUYU1TehwOFAdNtTYUOOjx7pA10ms08gmQ9mMJAwwPsV4jQoaS4unRWjf91MajxA1NjQgAyFalssr1qs5ZbGkKpe0XUnbFLRd2R/IbNiw4XNj40Ru2LBhw4YvDNPpFv/uX/+bjEaS1q0p1pdEEymqOUIIYhSUVZ9cqW6CP6y1vUhLUoqyIE1zQGB9248AhoiUBiH6TkchNUSFAKSQBC/Q2mCM6cdmY8R6S+cEPkqMSRnkM0ASlcRaDzLiccQQSVODUA3L4pqLyyXL5QlKC2Kd9CmbQtPVFikNwUskY5TQ2LjGO0kkYrRCZAkqBvCB1hoGk7v84fsP+fWf/RLd6s+4n47Iwpjj4wVj8YDj90p23xqzv/0K5qBg5Cc0ZwWJFYzGU8pqTb1sSJKMuvDEKNnfO2C5aolC43zLyEy5u3vIx59+wvu/+x1+8fY3SRYT8qHm4viaqZtSLy2hkWSzMV3dkZqUwWDM8+cnfP3emyTPWu7v51w+vaSLkq7yhIEjekjTnKoQGJ0xyLdwTUldNzx5eMS91+9za3ab0mW0XaRGYKuWXGcEB23RMUg0iQ6YLMXXgaa0DFFUZQdZy3q94tWvfY2VsiyuLHvpIcZKLo+uyIcTxtmkT2f1KV1VMkt2Ob0ueN5WNGpErhVjnXJw+BKf/uVHTHXO0fmcd954G+ehcp50NoWlISXh4Q8+4Etfe5Xzj56QjdZMbu9TDkekyQ5/+L//Eff8IfkUpsMZZx8s2L93H1s6gmxIM02ya4g4QtNQX69pYkaL4l9890PCzutUReTBXk569T5v3Rny5dspW+oZ3l2gugFkb/Avf/ef8fo3fx2xtUOa5gjp0VpwefmcdbHoa3AIWNc7gc5ZjDHYziOixCQpZVkSXdvvWLoG5zxF7ei8YL5ccLn+CKkr8skuiRnQCIceG5RMsA7a1YJMa4KXtE1AxgFNC23bsq9nKKkQ2hOFx/uud/UzIAZ87NBSEEOL0JHoJa2rCF6AFPhgqasGgCD6AxhjFH0a84YNGz4vNiJyw4YNGzZ8YRBKElRgUa6pmhVCSeq2wgmPMYbgIyE4YhS4GPA+IiWEAE0TkFIRQl9cHqJDCPoEyxiRpncs83x4s1sWUEq9EKfWeqToA0sEFiUTgq9xQEz76hBp+oJ3JQ3QJ00GWgQ1VXWJ7dY07QpXWVI16Ws8gkLJnMSkCCRg0EqilYNgETdVI1LqPqIyeCrbEI3grFQ8X2tGYcT77z3kp25/nf2tO5wcVQzEDnbhsV5QLEsG+Ygq1ggfCTagVdaP9kqN95EsH3B2ccnpecFwkHH3cJ+2aWl9SZYOGeF59sETfNJy6617RFFj9JhROqRtLcEGRoMhdd3gomNnf4e08nTLgt29Kc+fXZCoHO89AokxCikku7vbxChITE5dl0y2tpFRo53k6ukR806TD6csrwte+9LrfPrEI5zEyIToJLZzBA++dQwHGaJc47qWuV2zdeeQ+bxm7S3bw110SHB1h1EpMmiaVYeXHpVa0uGA1brizt03EGVHtBqE4vz4igLNOJuyMz1k9eR9Ls8uGM72SdMJw3xArFvOnp7x0v7bLE4uGU3H5KZhtVpRB9ja2ufNvXvMfzzn/oNX6LoWFXPaK4EPgmwr59nHH7E9fYk6dOxNRtA5XJty/9U3yd/3rGPCq/vb7IiSn3/3Hve3NRRHdPUKPZIsCkexWvIbv/0fUid7XK2ucc4xmQ7oupr5fInzDSH0P9tS9mnGn+3yhiAY5ENuH95mkCUsr+ekRrKzMwWZ0Nk1l+trFsU1lb0GX+NKizYZggyCRicpLrToRGGMRmAYjYd0rWMYRlhrGXY5PlgSrUA4rKsROidiaV2LDAqlBT72wVZWBNKkP2ghCILrEFHQdR0WhbSQ+ATEpidyw4bPk42I3LBhw4YNXxhCdBwtHxNvAkDaoAliQJ72gqjqKoiB4MVNEEsvwIxJ8b6vFrDW9iLTtzchIR3G9KEdiRnh7FbfJZlkN4JHEAMgBEIapARtArJz+CCQSiFlQpYOEUKQJn0ATAgBF9Z431G11xTVGbat8KFDa4WRoJVAS0n0kUDsw3z0ECk8QkS8q2jriuAjk3yLaAN0lnJdUmlFMpnxz7/3Ef/pb/4C80d/TrPwtLrDO8W22eLkk6e4Cdy9+4CmtGTpjOefnrFc1qyKNffu3eNiPicfZETvUYMRW3s5xXxOFAIhFCF6DnYPWBw33J68gjgPFOk1+XhIvXKs5wuyLOPs+AidJEwmE5yv6bqOyyfnzLZ2yWvH8OPnDA9uIbeHfbCRUpRFSVPX1EXHbLZNUBAR1KsaZSVnj444ePNtmq5BxMh6sUZHhW06hDMIqVGk1HWDxCOxtN0clcFZmvBL3/gZzo8vuZNmLM8WuMEANUrJQkLdOEaTEeNBSjAVjz75iOH2Hkpus01AOE3VVbiQMpApi6M5ezYHB85C2cH+nQOOHz1lNx0y83eorwJhOESbEquGXF+X3Hl5l/PvfMJ7v/8dfuZrv8L6skAaxSCbYecpw60dHn70J7z9ja+zWlzRKMeqCtSnNT88tTz6s3Oq2R7KCfLLj/j3fvkdzOL7sG6JGMaTHa7KkqB3uCxSzkLHvJ0zEpY8z2nblqura9arCm0En/WnIiLee+q6xGpLdIJiecnLd17l9PSUQSrI8r579fq64OGjHzAvr6iaEhvBhUjrTxFosnwLo3PKKuKjQ0VoPWgVSBAIrUnNiHGSMYopbVlhy5JU5IxkihISYz2Wjjo2NLYjao8wEjIQ0RMBHTWhdUQfMULQAtY70nwjIjds+LzZ7ERu2LBhw4YvDC44alfSRUvR1lgv8KQYNUHLIVL04TZEdZPAqm9GWl2f4hgC1vq+dD1ys//o8L5PeW27EmdveuxEv6f4WXplDL0b6VzAOQ/cBPREQdd66rrB+/AiBVYIgVSeEFusK3G+RSpI0/RF4qUx5ibd0t8kfTbYLmC7iFL9PuVnzw9WoCIYpcnSvkB+WTZEnfKdP/mAvZ37/Nmf/Dlnl1eYLAVgO9/m/OkZV5dz1nXJ2nbsv/SAwWjIdLpF6yOd87goCVIilGT/cI/D27fgJsVWKUVd12SzQ4IbcvT+CcVJjRQpReGYjMa4zlIUKxItadqf7HvuHO5Sp4H15SUPkjH18wuqqmC1WtG2LRHPYDDoR45V/z1Z65kMp2ADk8EY33TkRrO3s0tbN9y9exfXeaRU2Nbh2j4YqS4rgmvRytN2K37+N/8aHz4+ZnFRYNqEneEedWtZNhVNZ2+SfBOWyzUnz87Y37vF7PAui2VNt3bEtWeaz5hsH3C4d4vYOq6Pz9FSslqtOLhzl7KzjNIJoYQ0TBik21SlBa9Zzw2T7C6JOeD3/+Ef8K0vfYvQKtqqI9cp0WkSNeL8bMHOwR2ePHpKebUiTwasrmuGyRZptks2vI2TmuA7fuNnvkRenyHqc7a2h2yNclzT4azi4cNTLq4LuthhRQ3CIWWfWLtYLJCyvy/+KjH6m9e838fUWlNVFTs7OySppmlqimJF21gQjro9x8sCFx1S5YjQd5q6ztK2fdhU8JbgJc4G2ralaSqs63C+Q0poYksbWpRSfWprG6CNpC4lcxnaG2TQxCDwDhARoWW/uyw9QgZSo14I3CzTSBmQYpPOumHD58nGidywYcOGDV8YogdX0Sei3jwkAhdW/dgpDZ91jofQi0Qp0pt9KomSfcdcjBEfA+AJsSPc9Na1tqHVBVJ9FpDT71oJ6RECDAOk0Eg5AFWTGwE4JEMkCUokeNdXFSAcXRNxzmO7GhE9WZITXIYSOb6ribRYW+CswrcTlByRZYYkG5EmhyBahKvIBi1ied7/1s4id6Y55xcLunYE+QH/9OR97Djj9cmblN89Y3hbsx4PWMqE7d0HcC7IlSEZjSitY3jnFsm64urqinJrgJqM2b3oGF45Vrslg+GY05NzsixjazpC+JZ5V1KEBdsHM9YfX/HS+BB8zeXzBYe37iFjhmZMU9QIEdib7LGWa7L1Cu8a1mZNOhyzOp9zZ++AWAbyJMH5yO5om1AGkmxAsJZ8a4zsLNXzK3Syy0p0dHXH/q27LKuKsUlwtkRLzXVsSGXKVOVMRcZpcY3NhtSXlxzOpiycY9lJMik5yGdU5Yo4GBHSQEwb6nrBcDIkWknzpGVl1+QHGZ+cPuTNw68gGoO7apFloPCXSJPx0ivvsupqOgL6akhNhc/PiF3D/Z0pvu04P1yyvT3mj3/nD/nm3W+TtkPGh7sUScb5fEW+ZcknBdv3A3rmOZjdonYVNtbkOzOEynjz5YT86Tmro5rf+Po77Kw/JJ9piq0djp7N6WzKoqshV+w6eG2kGNdr4l7GRTrj+PqUZ1fHWOGQRJKY4HONiw1N4wkBTDRIL/Bd5PaDuyQi4ItrrKsYTwZoozh6/phnxyeoNAHbMUwk3tdEmRCiQAtwtu27S4NGixvnUI0QKkclOSo3FKGgayrOrp6yl+UMRIKtEpzPKIUnxEDrPcIoghEEIzGuQQiBMQqhNcEYgksRUTEeeLSWICwbDblhw+fLRkRu2LBhw4YvDH03Yy/okBoQQKRpWgC8DxhjXnTZxRghRqDflex3ACVCSILrO+cAnHMo2bt3ztdYJ0lCine9oyhCBBHQMhKjRyqFEH1ojlQKYwA6fOx3zKxzfXeea3G2e7FfCb2TGEPv/iSpomn6FNQQFEop5jpjohsyYRnJjjf2NIc7OZMtg0kTfHSsioazU8l7772PP/uYw/EtPnr0Y+4Mb3P/nbfImgScZjjLKdcFH37ykLt37zOSCqRECI1QEi9hZ2+Xxjr0bITIPMNcc3VxhRKS8XDE9fUl27MpaZ6ht2fY01OGownlqiLqiJaG5XzBYLpD1zmSJKEtCtbrNdZalFIE65iMxxStw/pA8L1gMKmmqCqUSIgxopWhQzLb2qGbX+CjYr1eM92/zXqxQAhBVzeE0YgYAoFAJlKaokH7SOcsXbScXJ8xmB8gRcYgGzLQY3zbcL2+xnUdSTqmWlWE2jKZzvjoo4c8uHef4WBIXbXUteVbP/eLXB1dI6xnebkg1Yarqzl3HuwjjUYJRaYz1pcF27tDynoB0rK4WmJtx/03XsWWsHq+ZNccsKyWmLWi3Y7EgWP7/j5tumBwkNPIktI2iHRKCAqTSlzouxPf/fpbXK3/lLG7IvWB+XnJUVETQsq4hr3d29RloHp8wsPTv+D/+N6fcfun3mH/1/4Wi/kl3nZY71FB4LQn+IgxhiQJNI1jmI8waLSuefWV+7hiSVtYpIwMxjlFseZqeUmWJ0TZO+1SpfggEKJF3Jza9IcrvQuvpSLQu9gIgVRA9HjXcXF5TNOUFNEj5YjoNcH294sQEY1Baom34BEEPNpotNYEIRBCEyX993GTuowQRDbjrBs2fJ5sROSGDRs2bPjiEIGoUVriX0T6C2xXY4xBCkG82VMECMEj1U1RvZDEaPtLRIlWCZ2tEEKRJAne9SOknV2D6NBak+gxQvxkPNWHGikTjIZ8oElCCiIABc5bmrbG+4hAonVCiDXRV0gcSmkIEaUF1luSVNN1/dhhFA4XOqIrkTEyjHNEdc2vfvsrHMaO3T3Fun6IlBqtE0rR8NWdAX/tna9xcXHFRbPPe90JP7w4osse0L3/Ca+Ob/NK/gCjBvzsL/4i73/0AbHWHE536EJE5zmT3W3aLOXp6SkhnzDbGiNOL9ib7VIWDeurOZPZlBD719SMxpTqEuECR5+eMNuagHc4L6lFxWx/n5OTEyQeQi84RoMBV+dHlI8eM3v1DVzVMD+9YDAZ9aJBSJRUrOZrVDrD6AEnRcWt6Tb11RLROrSPDLMhq8UKrRLqoqQrG4gJmUoIzhN8S+sdtbQ8+Mor7JhdFqs1aIHO+pTQtfWMBkOci2T5FNLA89Nz3vnyTyNQLBcdqJT93Vv8+HsfcHvrNiZohITz+SW7B7sMxhO0yShXLR7L9miE6BzaK0TMWJxeURQFey9/iQ//4vu8PLpPiiKknoY1r37jJS6uTgn7NWZiqAcdQYHQAhsjJslRKQRrMcqxWD3jG/e3mT95iFJTOpWxvpZcXC64bTLOnpxx/PAE8+kF5fqSv/0f/RLtTPEHxx+zalowBm8d0hi8jqTa4GPEqMh0b4etfAcjNS89SGmqJYQ1XtRkmabuGmrbURQLpIaAuumIHPfOv5II0dfbxCCQ2vQ1NdqghUQrgzKa1AiKZsFiMefq+ilGKqyWtNGidX+wM2gMMkIICe3aYaIgSQ1uFMH3x0UiDYhMkBqND0BVYV2g7Wpi3KSzbtjwebLZidywYcOGDV8YIiBE36fonHvhOBqTIoRCSo1ShhDAuUCMfe/dZ3uHUuoXY64hhP7v3CSuhhDpWkfEUpYrmrakbkq870vMrW17l9HWxOj7fTIR+gJ1UeP8msXqmOX6OS4UtF2BoKHt1hglewcyRrztENFSVSXW/uTaJoEQa+5ph75+ykxekHFMOlxSrD8lBoftGuqyQkRJ6AJdUXC4vc0be5Lf/q2fZ+XOiWPHzksz1vaa1XxBnuQURcHdO/e5uLikWK0Z6IT1ek3jLEkUjJKMg1fu897ThzjheX56jBICLTRaqBdVJJeXV4y3dnFSI6XB15HtyTbzswsmwxHf/973KZYFs9kOIQQ651islghAI6BzaCSLyyuGaU6iNUb2+6tJkhCCYDSeMdve52q5Ih8OyJTBdxbbdgyyHEFfDSKjYDgYELtAmiR9tyeRs+tzbn/9XVZXJdIbEmGoqwprLWk24Gqx5Oz8ktnWNmXd8vobXyLEhPWqweQZk61tnjw6YmfrkEwYQtWSa83q+pq6rglS0NQWW3qq64ZitUAS8F2krToOtu8zTLZZPlpz8eNzUmvoWsfK1ty6d5fr+ZLGRcxoQqcSgskR2ZR8a4/x9gSdpXgh+9FRE1G54PHTOW2TENqMy2cLhk3kzcmMW3dus729zbe+8U3OL05QieesOsaOG5CxTwd2EREjQkIQnq4taZuSLNdE56jqAqM1dblmNEwhWkajjIjHJCkuRpCi77c0Bp0mIBVKp+g0Q2gFUiNNggsgtMKYBKX6wxmjoW0K1vMLiuUZUt3cY3VFFzyk4LRHKPB4pAQlJak0KA8qGFTQBNs7jTEGfLQ0rsS6mqYtALcRkRs2fM5snMgNGzZs2PAFIuJDS4gRpSVIejdL9UmqMUZs17+Z7EWl7KsxkMTYN2R8Nn4XYu88htjRtRalEuKNQFXK4L1HSUtZt2RZRpoawIMMdLYEEXC+BhyDzCASSfBr2rZBiQ6tcqywaB1w1pIahZEKJSI+RrJc4xx0hUTJXgTneUr98E/4b/7e38FXP6JtzrCZwAbDSE4J1iN8yjCZUhU1IVqurivGTUkqx/zyG1/hnde+yp+ffQ/z8oAfPzniQETS4YA8H/DWG1/iB+/9BT/9WkaCxHUdd1ROIzLOT8+Qg5S5b9FGkw+HtHXHxdklOjEcHG6T7NxmtVqQTGbIWLJaFUyHlv2tXVxtefeddzk+PuboyRHWtkz2Z2yNR0zTEc9PLtiyAVuU5Mpw/uyYO2+8hPWeKAJ1URL1AKsAneC8QAeQPpBFzSA1GGlQQrE1mWHPSubXS3ITMCoh4Fmsltx/8Arzx8/I033WVUntSrJBTp6kNK1DBcXWrR0613Hn3l1Wy4IQBDrNWLYrfBt57bXXKa7miOhQVcPjhz9iezQgG2YEbahbS6YGaO2ZTDRtW1GV/Uj1eVVy59ab/Mm/+mNG0WDXJfmdLcYHt1iWNfYqcvDgZYrCk9zZIRkavKgITuDtgqqpaa2jc47xbIbJNG+88tP8w//hf+LdB++wc7BPimV9dsxkOEZ5zz/9Z/8X7/7cO5wUF6xu3+GDrqMRCTpJUG0kiRLhOmzXsFjPicJwePtlGlsjYoKWkZ3tfa4v5+SppO0KxtMpl9cFx8fXKDVEqI4ulKRp3ofeRIF9Uddy07Gq+7HTJM37EW4taOuCqlpRrc/p6jUhOpCKqCNOOOQw4DtL4SxSQ3SeSMQLkFqhtUIYIBVYafHOY0PEti2+czjn/k38R7Rhw7/1bJzIDRs2bNjwBcMTY0DKCDik7AWjUgYpNWmaY0z6QjxKYZDCIIQhBEkMCkH/3Bh7t0bKn6S5JkmGlP04bIweYxSRjqpeYm3bd9e59ibV1eJ8R9c4govkWYp3DYvFOXW9pG1L2q4CbpzPm7WtEF1/HWsRQqF1itEZRmd869tv4+ICY1pGA0OajEj0DNtVSOEhOOqqIEsNeaoQ0VJfRpqnHW9NX+f0x2ds33+Jj4olYTbmyeUp1aqgmi+pi5K3v/ou5XxJcJ69rW2e/Ogjbo9mdEXFl7/8Zc6bNZ3ynFyek+U5qU6xbYfxEls1JGlORLK9tw9Cc3Z6yiDNODs54fzsjCRJyPOc7e1dRpMxQkratqVrWq6vrgitRUeBd47z0zO8czRNw2QyweiMsmhpG0s2yBmPJgyzIeW6wPtACP3uXVvVpGna910mgnW7IkrQWvPSa28gRcL59Zqi7hgMRhRFgesstrHsTLZJ04ST8xOePXtCY2uapqFtW3YPdnj1rdc4OztFxEi3XlEsrqnWK4yW7O7uEvuFXJ4/PmGcTnDCsywLHIKdg9vs3brD0+MLympBbmCQaXZv7XG1LuisYH+6h/KayXCC9x4IeNtRrlcU11eEznKwe4ut6R4+aJJ8wu/9r/8LP/3667z+0hvMtm9xMm+59eqX0IXiO3/wx7z76ut89PAhW7dfZi72OPX7NEET5YDEDBmlQ0ZZCq7FhwZtAsZEjImsVnOyTKOEIdUp1bpkOBwCEiENnYXhcIpOBpgkAxHweCIWpU2/WxsCQkmkUiidkCQJg8EIpRRd19G1JcF3SPFZiqokCnDC4pUFY7HDgBsGxBj0lkBPQU08OovoBJQGQr9nHK1F3Bwa9T2ukc1K5IYNny8bJ3LDhg0bNnxhkEAWJSQe61sivVAUKiKlwPtI1zmUUkjRjzgK2XdIBmu50YYoY7CuRNA/T0hFkmQARO/IshRjIkpZiH2KJUi6LvTBOlLifR+gAwJjJOPxLrOhwbDLenkF1vdBJDGCtlhXo4QixICWAhkNZClSOhCe0M0xCO7t3kOs1lSNIp0d9ntyURCyLfy6xn58xrYcoHcNxdiQ7d9Clivmny6hyUnDCD3c5Y23Mr5TH/NgPWXwl895fe82XWIRRvIklphactsYDrZnhNgx8wHz9JSD0S0Ob+3w8Y/fJ6SOe7MHHH94TJEVmEwjhWftOk4WK5rWIbzk5PEJg+mQydaAxyenpLXipb1dTq8q1EAx29nhvhrRrB07h7f5pHtOuFqTx8Bg/4BFG9nSY54++4jt2QibdFw/eUoc7ZEejqgRFO0VHYbMQG3XpNKR7gq0SNnyKbacwzAHH+nKlMlsm8ePP2U4dgzzAVVVkY8nHJ2c8crOq+TasTWZ4qMgpilPHj8jG0y5Xl0yEYqciAse7z1+y9ANUnR+i7JqSU3kta/OELQcf3LE6w9eZtGuCVpy9vGHqJMFXxnucr1uWAjF9V+cc/D2Kwz3ptRxSeo8xdHH3PrKLudHn9AZgTIp2zuvEIjUZWBrdEh51XDyyTm/8tpv8PTiiMX6lPZJyazKyWeH/M//5B/xH/zqrxFOTnj9b/4mPx5oPolDFkuHjAsa35AMpyQqoSlOWK8/xco1mXlAVUVG6V2+/LVXybRgvXhOXc/Z3ZUEYanbwKKAokkRwkOE4BzBO0Ks+91eMUEJgZCx31N0Dq0FXXOJUobFYsH5xTHWVaR5QArLJN6iLNd419AGz5W0mEQh0j6A6rNgLOf6+zgK+n+DLuJdREpJjIIYAipR2DYQhWQTz7phw+fLxoncsGHDhg1fGGKMRPpuuxBC/+ZTCJqmoeu6Xjz+1Z7Gz+o8vL9xffjJnwmNUuonLqZQCCRJkt3sdOm+IxJJCOB9f53P9imdc4SbcJ80T0mylHw4YDQaMZ5OSbK076YkEoMghj58hChBKoxJb1Iy+77IPM8RQrJ3a4/WNphEIwkQ/U2ojyUQyadjyrbj+uSS5rzEPi9I0pxkMKSzntAa9IG2AAAgAElEQVRayqNzhsuOnZjQJIKTMTxeXDCyElM5vvb6lwllh7WeEAV10zEZTrg6u8LWDVcXl6RJQl3XdF3Dzt4OzjmijTRVy9Z0ijEpO3u7KK05OLjF3t4eH37wAQcHB9y6dYvFaolR/Xhj5zxRQFn2e6DGpNy9e5+qqlgvVwySjLapONw/oKlrsnRA13Xs7OxQVRVNW1HXNbPZjGGWY5SmKCpCCJRlSdd1QH990j5l1zYt+7u72LZFC4mRirausU2L9/1raq1Fa83yet6HKnUdhIgMkWK54vjJU06OjlFJyt7eQX8oESLPnz+nWC1oqprt2RaPPv6YZVFyuVjy0aOnNFLQSU0yGhKk4uXXX2MyG79wz+u6ZHd3l6vz85ufvYThcIy1lqZr6Og4Pz9ltHeP3/udP+BiueDWg5dZlR0Ht+5xcXXB//Y7/4CffectisU1H50c06QDaiF78RUD/U9zIHR1Xydja2TsbgSaJXrP6elzBA4pAsNhzmAwYLFYopSiKAqqquLevTsIEQnRkt68tkoZBDfj2UqhRO82p2mKEILVasXp6XMuLi7ouo40TbGd78fCM02Wp0B/79R1zWpZ0NTuxaMqO5raUVeWoigoioqyLG/uc/dX7meJQEPceCIbNnzebETkhg0bNmz4whBiuBkD7UgShfeWGD1a94Iwxr7f8TOhqLXuA1f+ioBUSqG1RqscQYJWOUomaJ1hTI7RA5RM8U5hbb9j6Z0kePFCQH4mJj/7PGhF7RrKtsEryWR7m/HOHsPhBKMH+GDwMcH5PpAmMQNGwynj0YTJZEKe5wQvIWr+2//u7zPYnjDdyol0+K5FiohravJRTtwaECdj1tcd7odrtj/VXD5asjXaI82HpEEwuljxSiF5tU25Ci2ffG2P93Yij6+vuTi6gNMVb+7f5/jxEVb0qZq+stya7DIMCkrL/myX6MFGx9bBFsv5CmctGoGr236EUEpmB4ecXl5ydXrJ7d195qfnhBBYrVakxvQptdKQDifMFwsuLs7QUfLp40fkeU63LKAo8U3D2bNjxtkIIxOquuP88prxMKOtSqajMav5gvPTc9q66x+lZb0sKMuSoqwRSuPKkq5t0Tqhax2268UGSJq6Yzwe0zaWYT6iayyXpxf4xrEzmqCExLcd2kW6+ZqD0RYDoRmP9xAipS5KTp4/5fbuDtp5qsWCer2ARDLe3+XPfvBDLn3kL6/muNk245de4e2f+xnS7REoj/UFSRYxaWC1XrBeV2xND0jMkEE+7c20zNPEijzP+T///j/gm7s/R4dhsXDEasjpp3N+/Jff55d/9V1e3tricjmneOMtvqeGfBJzWidIhEKZAYnJEa7DVSuiq9DKMc5HDJIMZ1veffdLEGrK8oLr+RlKRfJsyHrV4L3g8vKUo+MnWF9gEpCy33+UIkercT+2muckScLWdIqMUK0Lzs7OuL6+pmka0iTHWc/W1gyjc9LckaR9j6q1LU3jsB3UVaCpI3UVWK86mjrS1JGuDTgbIGqkMCiZQFQ4G+kagVEjRoM9pNgIyQ0bPk82InLDhg0bNnyB+EmvY9vaF+IReCEa//+cSOBfE5efPWIUN7uRvTOpVYJSpndahMBZ31d23CS/fpYG+9nn+uw6ZVNTty1IgTYpymSkSU6ajdAmh2iIPsGHpB/BlQqtMoxJ+3oR7xGir6HQoynKDFitin6HMobe9RGmDxHJEtRgyGzrkHgJ9acVW+WA4tGCvdke060xo/GApqnY1wO2O8XKWRZvHfL/Tjs+EjVnF5eYLOOVV18jSVK8D2QqYZjmbKUDsqhZXq4QQeBcx5Mnn5CYlKZsSGVCcBElDfPlkrPrJcuy4eLsilymCOtZLK4xWQIhEpBIlVBbyyuvv4FQksXlgulkix//6EPmJ+eIqqNtKvamO2Ajdd1i0iEBwXI5p2kLvOuYjScM8wF1UZPrHNc6YggQJSbLWRUlejgi1SkSwXKxIEtTvHU3X7NkZ7aDUQrvPalJkAiK5QrfekJnSZA0q4Kd4YRqtWY0GGL0kBAkw+GQt157jekwY5ylpLEftWxE4ONnzxAm4z/+L/4uv/Bbv8X07h1md29jpcARkSoAjizTfYBS1fLSK29ydnrBYDBitSrobENXdwz1kImakpYDRs2E1Coe/vmPGLYpf/pP/m/+nW//Em25Qu/e4p+//xHta2/x4zpw2giaILERokxe3B+eSJCKaDLwiugiL927j60rlPI4u6ZpC5zv2Nu7RV1bVssCHxw+1AgZcL7rg6qEJniBFAateidSS/XCUbdth3OWpmmw1lJVNUqlNLXDmKQ/GAntTZqqxHaBtvU4K148iAYpUpTMXghHrVJi7KcGBvmE0XCLPBuRJmOUzBBC/Rv4/2jDhn972RzbbNiwYcOGLwxCCBIzRIoUj0erAUZndL57MbYqRD/qGkPsEyJV/6uuD9CR/5qwFCISQl8VIhUoJRA31wEYDHO868fupOwDQaSUL2pDtO6vLaJHojAm64VelGidkg0k2gzRckxdVjjf0Nm+Fl0Hi0igrgus9XinqCtP3e7wn//d/57/8b/+z+jCGhE8VdGQhZxyVTGabNPFjuFoitwbkVpD+eSEPDVcrp4SpSbmCjUcICvLm0tFNJofppbLX3qFcCFIfnjG8fyMw3xCcTZHRNja3WFVliRIokr6NNvoOH70iK3BiMFwxqNHn2K7Kdu725RUTKYzlvMFh3fu052ecvLwCffffoPWQ+wCZyenvPGzP8Wjx0fs51s09pqrxRVykHOyuuSVl19mdT6nzS8ZHh4Q1i3PL07Y2xuSZkNiBNvWyOixVcN6uaJcrLHzS/a2t1DRIKIDD7XvmO3tU8xXSBLmVwuG+YjRYETbVrR1R5pmeBtoY8NoPGR9vQQkt2b7CGH6fdfOEhrLvJizLAteevlVimSINoanT4443Jtg24Li6oTQtlTjjOmDe/zwe+/x7/+Nv8Xx936IyAxpNsC7iA+ONDMUq2sCHaenK4aTIePpDq4JTCbbFMWKJE9JdEpz1vLxDz5l8ckPeWf3qxx9cMLi8iFvPrjLd3//H/Otd79Mko0QgwH/6Eef8uv/1d/j9x79iHwIzekZ+7e2iFiML+ncEucdygXqEFnNC2bjAyQ5mcoY5FOq1TWKjv2DPvG3az3RJywWZ8RoESIQvENKTdf1e4tS9mOzOhrausHbluX8isX1HNf1IUXOOfJ8RAiBumpJM9H3tIaGpna0jSNNwOgc6LtCX0wJ6J+8Pc3S5EUFj1Kmv8+dRIqUiEJKg1HDF/f0hg0bPh82InLDhg0bNnxhUFITQwpSkGUjtB6QZ0N0LG/euAagdwfVjSvpb95bSilfjLx636dL9m0fAZNkJInsO+icJRIRMgIRbdSLzA5jMry3vbtz8xEglYpEagZpjh4oEpMhgZWvaaoWwQBBhrM1bVdgrWNVlnjpadoFQkJX1DSN5cOHlp1YY3bfoHzyHuPJDtenczJvSF1O8XzBMNlm7T1+e0JhJZPsNcJqRXf6jCzLcMoQEsmuGXJ4MKWZn/H261/idx+9T7F7QPyFt/nghx+ylWpuzw6oy5LGOuIwJ201ioh2CVW3Jh2PaOZLrsvIV7/8Ds+OPqEp6l5EJAP27txDrEpiF5DC8eTjT/jqz3yTumqpg+X6asFgvEWMhiTP0FozzMeMtqaUiwWhqMlcYH51ybbeIjc53gmchaPjE0Z7W2TjIYmSbI3GHD18SB4CKgraDlJkv88YGpz3FEVJY1uM2SHLMtarkhAtUkpOT8558OBl0lRjW4tCkSUZddmRKoGUHtc0tEXFk8ePGe5sscQSXR+IdHh4iPBrfF0QqxqjBF/6qZ/n9777R3z9p75BO1+hiwptRmTeEpwlyMB8fU0ykuzv7XORCLIkR6ea1XJJyFqyHYmnploKdvw+7VnCrpN88IMPWKyWJN7x8cMP+JW//g3KtuFfPv6EZ/mIN/+T3+b33v9/uFp+xEu+5Gd3Z3z7229wvLzi/kAwGM5orOZ8bvmd3//HDDMYHrzGwcGrZNkWwYLrLJ0r6BDsbO9SlQ3nZ3NsF0lzTec7iAaiADxJqnHOkab9zuz1xSVFuaKpSmSENDMo3d+fbeuQQhOjp209TdOhpSKGhOFgQJoOGeST/v5U4cX9Cf2B0WcOfYwRZz0xhJue136nVaeRrmuobWCjITds+HzZjLNu2LBhw4YvDEIIjE6Qot93MzrtS++9fxF0472/2d0yL0TeZy4k8JOPipuR1r7gXCqBkH2tR98XEHG+I4S+RqR/yBe1Amnaj6JqrYnBEZxHAEanTEa9AxY8pFnOeDTF6PTm65VEBG1rqetejK3Xa0KApu7Y2bnH0dNL/su//XdI9ADbOsbjCXiJbUMvsjpPkmdUKlInijkRNRlxsHOAbB0jndKuC6aHd+iC5+tvvsPxH73H7UJxdnTK03rJ7Xfe5OzqitykqCA4OjlBJsmLXc/9/UN2ZtvIEPCuY3t7m+Pj54QA1lpiFJg04dPHj7m+vsbbQNd1ZEnCd7/7XZ4/f87ObJujo+cI0Y+PWhdIspSrq2uKqgFgmA/49MOPsW1LWZbsbfdhOsokrFarXkB4y6NHjzg9PUUisG3Xj/gaQ1EUaK0ZDAag5IvaFnxgvViSmYREaZqyIjpPtS76yg/nGOQ58+trxoMhg8GQrmlpqpr1eo2Pgdv375FPxxze+v/Ye7MYy7L0Ou/be599pjvfmCNyrKysubp6ZLubIEVDJkWKsmTaBEiIoE3CFiDDIEBbT34XDMmCAQmwYFuADcmEDFESRMtSUxRNmZTYHLqbzR7YNWVW5Zwx3og7nnkPfjiRWab97BIKvB9wEUAEbkRkxt0R5z/rX2sd8PTJEXmWsVwsODs7Yz6fMxoM+e7bb/OZz38RlKJcZoy6HVxZUucZvmmYnZ1TrUq6SZeiKGkaR1nWlGXNeGODbreL95ayzBgNxvydv/V3uPONOxSnFTtbe7z12TdpnOW1t15lWk55/8kHHBUZf/G/+AU+OHrAZHnGm7e2+Ykvv8b3HaS4yX02o5KdcMXQT4nLM17cSvlLP/UX+Mkf/Xe5detlvBeYug0l0lIhEYShpmmaNmzpUm201pJ2YnQQEYYRSZIgpaTbTZESFG2olW0MSZK0Pa1NQ6fTQSlFt9slDEOiKHm+7hqGKXHUodsdMhyMSdMUrfVzdbMsy+eeY2PaHsiPPMjtWvkztfLZWnkbsPXx/z5as+ZPMmslcs2aNWvWfGLwQlAHGuFjxv0+m1s9qjJjtihoI1QFgYpa3xetf0urtoxcCAEeBAIp2o+hBDKIiVSMrT0Ih7ed9gJZgpcNwluUKy+9lh4VtnUiSrZ/QmvrUYFCSE/VlARaU7sGgN3eGCklTdPQD4M2jXSZUJYl59UxkYfVfIm2CuU9zli8Koh3rvK7717w3/ytv89f/Rv/JbPHj8DkDLsdsouG1VGGdp6DeJd8VUAAVWNx3QEQ01QN2cWUh9XvMdzZYvbkHb60NWI6N9yc5vS/9Bp3336XnRf3+dVv3+HN/Rt8bu8N3v3OH7Fx+0WyqiTPKmqvSHavYJI+h48e0+8mxM4js5KyrvEiJBIO3e2gwz3EKkPUlv1+FyVqUh3x+s4uJ8dHBGmHRZYRRQO6swX93pi7Tz9gM4nIn84YT5ekmzHzyRmD3gaDawX52X0CU5GKHt2RJEh63B5JTuKSxcAzWoao7gbTyZwospT2nHjURasUn0QI22CtYHa+ojGS0fYVZNrB25KAkNk0oywMC3XBzs4O9mzOYnLG/Tvv8tbnPo+O+oTxiHsfvMfOZp/j+++xv9FB1JbaxDydGEbXRqRPCzoEOFNDJyApDMfTGig5uH6Fos44fTple3uTojhm6/YWWZhxtpjSHUaEyxS3tPzGX/8K+/k10mCMbQQP3v0eSlaEwTmcb/Mo85S3P80P/rkvcW/2XX4wXvBjb+wRVI95YZRQDjqYtIfQKdIsaLIVUb2kWZ4R1rAnI1bmmDwcc7hY0O1GLFZz+t0ErQwew+PJOedFjbUQuoCqMuTVjDzP0bpdN82lpWlqVsslNDWJbgOsBv1+uwWAR0cCpTwm8FjrcTZEihi8JdRddNCnLiWlMwgpWFYWpTxCQWMMYdDBiQipRZuYi8M4T6gCcJ5ABQgZIBCoSx/0mjVrPj7WQ+SaNWvWrPnE4L3DuwpBQFNnVIWmqqvnniloV+DcZRG51uKPrcf9P31Tznmk0EglaRNs2pU4IVpVQwpo3YuCdldOIKS7VBsl3lu8F6igDZlRUoFvqw6eBe5oHRMQIgKNTiTag6otyksMkqoyGK8IAkVd1YRpj54LSG/1ub075qvf+Od863f/iBd2N0lCzXKWUy0dG4NtqqVnNcuIdExpK8IwpqlKwl6Kkw1Xb93k7MkDZmcLBoMB88MJ43hEvLXB+T/7JntVRv+zL9G89QK/884HfLGzz6tvvMnp+QSdxBBoghhk6PFCYc6W1GVFJ1YcPT1kMBqhrGc8HpMvV5Srmg6SumxYzCeEYUBFiggU01XGbpQgL9NxB90ed99+j70bO+QnF1jXsLg4ZzAaU+YFXobIqiHPKsK4pBYZe1euc//eQ17sJIT9iIWdEAcNtXb4RFLkDZDg6xTd6bPKcrxz7Y8WcMbSSVPKqiZN07YqwggGwzE6kDw5OqaYLdEq5I3XP8N8tsInGarxZNMp4aBLqiPOTqfM5wtee/OzvPPOHV568QVcXaO1IoxS8sowW+YgNNu7WxjncVITJ13KxrGxvUtRNeRpgRaO6rxEnFr+z1/5N+ydXWGvs08+F5wdnZIozSqfc/PgFu/eP6b+wh6v/MgbTM6/hzw5Jurm9MMR1166RWM94/6AolZQKSpxQr44p8wnLFcGExwwXVQUu5pV4eh2u5yvzklSRVmtKKoAoQPKylAUBWBo6pKqzCmbRZu0GmmCQD2vnLHW0ummNLUhjtv/U60jlNRY1yBFuxngncA58M4TdjpYFNY0NE1zeRYNaI0Ttr05IwReivboifYIEkiUkFyuCyD05RApWq/yept1zZqPl/UQuWbNmjVrPjE0dcnk+D5xnNDUfaJY0uv1CArdpkBKjXN1m9QoJM41l62SPA/DeZ7M6gRKcakwSrxvxcxnwTkWTxBoQIHzeOcRssZZsK5pPYEqJAgkgrbvsX2uoazydoXWOIQo8F60XXZCoeMOtZUMxrtcTI4pqhzwyKhDEkCqQqKdIefZks/+qR/mN37zq/z0v/enWc0FpnLoPMEgKC4qBr1N8qygP+ozvZgzHAzI5yu6oxFFUbC3eYPT1QVnT07oWE/qCrSHXTPk/sWUw6+/jRomXOuM0VJRW4MIE0QQ4nVIoCMCL0CGbO4ecPT4AXlWc3X/CkpKFmdniK1uu46YKJTxhFLRizSBhEhHLIuc/a0dzs8vGAzGZPMVg6BDjMbOSpQIOLh6hSePHjLe3KUTprz//h2+77VrBCokTnsEYcKdd99j5+Xv4/HRfWbLezwUH7D68ISf+U/+YyZ3l3TMgH7Upaw9MvYEl/2exSojUgE61dBYylUOPsA0FavFAhVAN42J45DSOD788EN2d/ZBSVbnS+rzOeOOJhKWojQ8fXLKtZs3mCxyPvV9XwRnMUjKoqEK4OjshFu3X0YIz9n5KWk/oWoM6aCLDCV5XpEmmq3+kOn0kOoU7v7ze/SebDI/Lene9BwePeS1T7/E+fKCxPZ49+kjfvRnf4LHyZSzO99ip+eRNuP6jX0WZUUpQtRgSCUFsc85ObxPZ+yZL85II8lgtMvo4E/zK1/5JllHIoOUssiwriRbTtnb3SWrxjw9OmS+rNBRwGq5wFQLlHT0+32k9MRJgDHt+ZJeo4OIpmmI06QdFkWrIlZWYYyl24tIUoVpHFIGhGFMXrWbAXm+QmtNWZZordFB2K6uGk8QtD87IUCgnpuvZBA8HxZFFF2ed4cxlvU+65o1Hy9rT+SaNWvWrPnE4J3DVAuW81NOTx4Rh/J5YuSzTsjW8mhwzlxWCbQeOaXUR72O0ComShFGAR576bsCaxvkc28kQFsVoqTGu4/qQZ5dwFrrMJeqirElxpZUVU5dF5jLh2tqnKkxVY0zhliHracyiUnTFHX5vSitSfs9kI7tnRjbTOjFjt1xl36/TxiERDJCmYBBPCBftGEmq0VGEkRUpSEIY8rG0DiPijqMNvdJe0MQbf1CJ4pZBjWb2yP2Cui+fczG0RIxywm8otvtY70ALxG0lQreCRok3dEmFs90Oufi4oIw0IQWEikJlKJuLNbB2dmU2XRFdjFn3B/QiRMirZG+rVopq4rt8RbdqEecptgA6qqgyhfUZYYScHJ0SL/fJ89zsjzH+YZeP2HrYMiHx+/y83/lJzh1cPUHUr7z5Dd4fPoe55MnCGmo6gWBlARSUeQ5wkNZFAgP/W6XWAY0eYmwhl6SYsoCWxRURcb29jbew/Ur1yjyFb6uGKcR3/361+jGCTtb+ywWFd3BmNwYAhlQZBWBCJicTDjYv8pisaCqGkaDMePxuFWJm4Z8VdCLU7SVnL9/zO/88r/m13/p1wgXKS9tvsbm1SFPZg8490fcm71HHZfc/txtfvhn/gyns8c0Dx/xVryFeVrw4htfgmCX/vg2Ot0kSEPm+Skns/fZ2hXc//AezigaE6PiTX7tt7/D5q1PY1SHwniapiKMFOONIUdHR5yfZ6xWhqq2LLOMINQkSYJSGmchSRKMqS9vxCi8k5RNQ2NhscrJioaismRlRVkb4rSL9YIwjumP+gw3xiTdhDRNsbYN6LGuASTWeprcIUyArxTShLjK4SqLNx6cQImAQGpUEKLDGB3GKB0glAKhYK1FrlnzsbJWItesWbNmzSeGQAlGvYDaOVarnGy1IEmGCFT7ELZNVfUeT4NH4n3b+dg0zfMOyTZcR6K1BPzzwbIN4KkRUgEOf7nK6oXA4/G2fb65rBuwxtE0DUI2GJtT1Tmr1YK6yTGmQcuEJOkwGm6iZAIovFOAIJAQSrBSoOIQLQOEl3jh6GvHoLnDz/3lH2J57494eP/rXBl9mY3BgNlZjmzA1IZEa/KqRFYSIywqCBEyaL1jcYey9jShJz24StgrqJ9OeOfDx9x69WVmF1N6KqDTHTGdzhE2Yt6c0Ll+g0jCyfGETqdDJBSxjuneuMH87JhidUHdVChjOJuc0C+7dHo9mhrOLi7YHAwJOz28s+SLJRfzGRtXrxIEAU+fPmVrc4dKGsLK8vDhI259+jXe+fAxB1f3WM1PCZ1h0A9RgSGOBEtjCSNFZD3z1RnTk/f4xb/+CxR77/Dn/3LCV77+P/FTv/Af8a//23coyz5xZbDS4eoMJSEUiunZBOug6ZUY6wlEQywEw36PYjXHlhmrleP87Al7+9eI4yFVVdGJIvrdmCcfvM/n33iV08mcrCi5cus2utOj8Q4d9MlWF2x2Bty4dp3JxRlJt0OTL2kkNHaFsxVpFBN3Yh5++D1uv/4av/rf/WNeOXiRAw7IpxU+nnP37LtkruZLP/ID7O3vIGpLuVgxf3yIjeDV2y/iVyUdPeI4c2wPr+JcTXV2QTBd4VanCJPz7t27pKNdtkYbhOkuH5xU5N0ujEcU8xV13RAphW0ylOjQ62zyvXvnCCUJ4ohhomiqDCUkUapZlIvLkKk27CbPLN5pqsZeBvAIpFRY096s6XTTS4VSEGhJHGs6nQTvBIGoKFbTtkansQijMEZS5zVZlhNHKXXkCLQliiWuydvqjzRBqoAwihBSIloLMxjAOgRrJXLNmo+T9RC5Zs2aNWs+MUgpiLTAGxgMO2TZitFol5S0TXK0NUIEPEtX9d4hpHie/Nh+jnYJx1l/WRdg8F60QTwyQsgaIcXzQRRE+3HfOiS9bz+fswAS7wWL+TlllZMXC8oyx/kKcEgTImXAYjojiYcoGRLHXZTUBIkCbzF1jfUWggjh4SJfQdzwn/7kl8nPvsfN/YRiEbA4nRHYkDJvSHyNsIqsKpFaQuOxwiPwBLFEeEdZlsRBBxd4nDeoXo/R1S66N+bs/ffobYyYaoeNY7rDlKM7j7m+u8/p0THjrU22NzZZLpeESYSpGwwKGYVcuXGds8eCajGjF0WE1lMtMpyKGG9s0FQ1ygum8wWbwz6LxYzB3h7OthUZpycTOv0R0iqchVm2RAStklSVS2QUk/Q3wNf0eh3KVUVdl9RNjg4lYar4J7/8P/NDf+UlXFxw66Vb/Mt/8S+5sf/92ENNlXuc9KSRpK5LlGuTQ6fTOXmeE+iI1WJOU2WYSBJosHVBnIQMh33m8ykqSJgeTbl+44AP7r5HSsHjB/dBJgyGI/rDMaV1lKbmO++/y97BLhcXU7q9hL3dbZbLBXmWMdoc0diSUa+LDwxPHj/i2gs7/B9/75d4efgC1cOCdDzAhCGHkyOiTsCP/7l/nz+6+z6dMGX2+JxYxFx88ymDTx1wNzmhtHPe/IHPYja6mKqkyOfEfk42e4wzFctVQRpusLW1Sxr0OblwNK7HwknuPXpA2FeoUGOaCoUnyzKU6BKnCcY5IhWRFyVaR+CgLBqcB9M4jHM0jaXILd55DAKtFc4rrIGmMUjjkUFBEIBDUlQFSgu88KA8WgpiHVB7ByqgzjwXkynFhaUqG5Ra4L0jjC1xoohHmjiOGW9tEgQaWxlQbV2PQiE9aKnXQ+SaNR8z6yFyzZo1a9Z8YnDeUzQlOg4REvLVjGK5otsdIToab0EEjqqqsJdrrIGqPgrf8GCtxRqPkBnWRWif4pxA0AZ1SFnjvUUgEKIN3VFSIqWisqatBEESBA6pBHEIYbzH2fkTHh0espif0pUKYR0uT6hrw6F4TJh2CMMAHQqSJGJvfEC+WmJcjbGWJqhw3jDUmu7J29ysNpiJLqfTkE5W0dsqMReWVHRhVSFkQKRjUAlBklPXNVYrjEMAACAASURBVGU5p8gVSdwlkIo6aJAWtG/VWxsL1O6IrfoG09MJHSs4OXrExvUb1Jt9TlZndIuC0jREmxsMOgPq2hKFPfxyShRoTnKPHh+QLSpEVbMsHxHEHYQaYKyiMiWJksSJohEl8VCTXRySBCnCCRIdENclq7om3u5x/+4dtkc9losZZ9MpI+voFEtcHGO94mI+YzAaUluJPp1jy5qziws6J57dbo+bfc3+n/oUv/M/3qHjNukEfRoCyvNlGwAjQOoApRSmyKCpME1JWWWEOsLVoAVMjo/RWtDvj5jOl8RJyod37yGMR3bGVKbhMF/y2rXXsHEAi5ywarh+Yw9chVINtqyYzQxBnKIPFHMvGI+vUFcZ9ewhN7ci/tHf/Qo2a+gEfXCKmS14b/qH/PR/9hd5dHebk8MJozyieP8cmTeoOOT1H3yV02pFunmNPG5YeQGnE3wTMep1uPfO9/B+hlOGIvJcu3qFsh4xnwg+ECmPgpBqFLHjQs5OSja3QipxjgoEjekzLyO0LtEoYt8nCbo0taGmxlAxnbyLdQ1COOqmagdC4QlFgq3LS4+xQ1iD855mESOSkGXp8KLBbvZpTN76iL2k0Q0i0ERJ0q6ClyWTx9N2KKStg7FNWzUTqAqdxCTbM/Zf2me8O6TXD8EJvI5BinaRdT1DrlnzsbIeItesWbNmzScGj8d4C7ZGS4l1NavsgnGvR7fbpTYFq3zZdkZymciKbcNVvbwMzmkTHZX4qEPSOU+oFUJInFWXa6/tRawOA6QQOGfRSl0G9AAOpGorBnrdhCg6YLU6ZXZ6yrzICb3g4qwgz3O8a5WTXr9DoBz9fhczrUEKdBKjwgghArSKqIUn6g+p6oJEO4xryJsC/+QIV6bsH9xk9ajAGottGprC0ok0gYjphjFV1WDqmjhKEWjKqiQINB6wziGkhH6XUTfl7nff463v/xJvv/02YZqCaVgtV3itSTc3wcNqPqcOCvqJpqwrzmdzdkYjauexTYMOIrK8xJYQxj2wjsZZglAzmZzS3Rnz4dETXnzhNtVqjg5Tnj56xGhrC4kjiiICrbkwNZo2gVNYx3w6I+6m6CgkjCLq8yUeiQo1vrLoKMQowSIv+N3f/B16+pXLUvsKI2MUDmssdV0TRRHeNFjbtL4+a3G2IYr6SO+YXpyyXC6JU0UQJxRlxdWrB5huTLlqX09CBvzIj/wIy8ZSrDJmpxOuHVzDOEtZ1BhbE3YSrARrKzq9MUJ6lvNTOqHkO9/8DsV0QmxDBpsbLKczwl7Ew6N7/Mxf+jne+c67NLOS7GLJOOnTjVLCQYfpdMr56ZKbb7xCPBzjmgWb0ZDpRQYXC7759ldJIsNk9pR4o8er/87n6Iox+dJgrG49itoR6Jj8Ys5w2CPPZiyXp8RxjFCKfFUSdHrPE4yl9Oig7XfUukROk1bJFyHCO4RwOMA6iXPisrdREYZB29PqoKkNDofUcHY6o1umNKYiVUOslIQ6ppOOiUcaeyXm5M43EAicbQOwrLVt6rIXVFnJ/Lgg2ogIYkEUDwjDACfabtgojP/t/VJas+ZPKOshcs2aNWvWfHLwHodFSEljKwgCjs8f0BmP6aQ9trZ2sKdgjKO25WX1R31Z2+Gw9qOQHeda6aIN5Qkv110dWicoKYhDjXUFUggEBiENAQqp9eVQGIFXgES6hlAohukmHT3i6MkDbFGxmEuW8yWq9tzY3ye4qBkOY/wkI1uUdHoDYhnjrUfIiKjTwXZgM73NrCjomAxpU2TSJZk3FJXj3sld9rZfpDhdkLiQWClMI7DWIbwkDlKcM7iioKoK+v0+2SprQ0iEIG8qkn6HYlVw7c3XeP/hQ1ZVw24vJJIxLjJMJhMq61BaE6d9hKm5mGfEnS43brzAyeFT+ts7FPMp9XSFlcFlYqdDhpLVbEaapgx7Q2bLjKf5jOXxfa4PD9hEsbkx4MnhYw5uvkBVFZzOL+hvbxCEIavVChUnVE2NtCHT5YIgjaGWlB6MhUikvPO9+zxYLhjs7/LGa2/xzd95wljG2MBTrjLqqvXwKaWwRtDUJWHV3jgo84ww0pyfnnB+cUakA4aDESao8NIRaRDUlE3O/ScPGY/3idIOj+4f0h0NOH56xKdfeZNHDx4SxZowDpFRF0KB7moIFKenp+zvjTh69D2++/WvY6eGq1s3OHn8hP71LnVsuP3FV9ivr/MHX/0O494GnBluDG+ilMDgaBDMGsNrP/hDWCAgYojnwW+9Q7VaEM1mRNOMAsf3/8CfZeYadoaf4w++8Q3e/OJtiiTkaHVMnfZZzCoSIlblKfiaqzdfZDZfMc0EMu3hlUSI9oaJUG23o44VOo644m5Tljn5akpRLrGNoT/o0un220EziJBSY5pW6Z+dH7JaLSiaDO8N3lUUOaTpAGcUzgNBQNNYtEyIo7QNrxKKqq4xxrQeS2sRPgXpiSOBdYayWnE+KQikQMc9oijB1fayhmfNmjUfF+t01jVr1qxZ88nhsmfQI7G0nkUde5arGc7XNE1DqGO0jpBSItVHaazOPQvOke0Fq1LPg3bKsnzeWdcOnIqiKGga+1wRkVIShiFhGJKmXXQQtTUEqPaiF0Wv02drc4+mboN3BI5IKa5v77DbH7KddukKTYLA5QX1bMni6Ay7zLFZSb3KSZKEyaJEdbYpS0kaxCgXYTOLqEGiKKqCwVYPtKdqSqqqINQx3c4AJQJc3RAIiRaKxcWMbtpFeUld1njjCHyARhEIxdXdK+xt7GBmFbGRXMxnKCmplhnSWEJnGKUx3nuqvKCuGnrdIRZF1BtQe03ZwCovWK4WeGswziIDxWK+Ig0TNvd2KAIoNKx8RdwJ6fZSJKDDgPlyyZWb11mVBcsiZ5Xn1KbBCqhNQ2UanICda9eonWB5XvDkwZz9g7d49GDJ9uAGsUha1cob6rrEK0eWL3C+oSwz+r0U31SsZhdMjo9R3lHkK0ajEQ5PlMQ4L7j/4AFhGLJYzCjLkoMrV8nLhitXb7A52mQ1XbI92uLs7Iy9vT3iMEEHIbV1WNH2h/YHHW5e2+cPv/a7/MFXf5txt8f2aIflrODq7jXKwtDfGPHk8IiiqOiFfc6fTBmGQ2zmmF5keBlzXlS89OnP4uMOSXdAMcspT+ZwUXP67iEf3nnIfFbSH+5zOnOUtsM77zxi/9prPJ6V2OEmTdJhkWd4aRCxJ9INoQapQopaYVSPpVE435ajBmGIVJo4SRAyIIwStrYOODi4xcGVl7l+9TVeuPk6O1s32Ni8Qq+/Sae3SX+wzWhjm42tfXYPbrC1dxVrA4TUxFGfKOggnCbQHh2CowBREYQNXuSXN3YcdV0/V0SFEFSNweHpDBIG/ZROErZBOh5M3VAVOaap/1gH7Jo1a/7/Z61ErlmzZs2aTw5CoIIEoRQB4IXDUHIxPSaOQ5pGs1xV1HWDl6Kt7TC6DeSJkrYL0kJtHIFuWs9jKGkaQxK3g6f3DU3j8dagtaJpLN4KgiBk1TR4b4gjSRCE9IY9mqZByZiqrOkOxrz25htUqykP7r7LtThB+S7b4YjUh7gGls2KrFi1YTWiZGdLAzO8NzRlwHl1guok/INffY//8MuvIOaGoRsx95qq9CQ+JZ+cc15k3H7p06x6hqiwLOZzGueRXqB0hHM1QdgBL1lMFyghSaN27U/UnkglbaelyUl7I7Tuce+DD/n8F77AH379G/S6EeePn+DGY+rVkt7GDnVtKIuGSCe4dMBiOaVwIb3BAFfOMOWKbLUg7cRMLs6IZIjKLWlX8c3DD3jv5Cmff+ENpo8P2Rhuc+fue7x4+2VCqfj2t77LymTojuakWNBJ07ZwXkmiOObEn/Kt++8QhwMOxq/wg2/+EH/1f/vv+fmf/1F+7Ze+jjuTNF1DES8ZxEPy2QIUFPkKiSAUEKqgrfVIA4Rv8Lbh7GTB1s420+mcuauJ0wFJlDI9nzGZrojiDi++/GnKRjA9nTAc9cFanDUUeU7Z1HT7I5qipNfpcnz2kI3NLv/L3/7bJGFEnz5u4fGNQQSCB9MnvPz6aySDhNPJGVQBPjPsDTeo8hqLp9GaTApuvPkZdC+lKSxFMaN89ARZZEyfnpFPCq586i1WeU4RDul0RqhexMpkPH76iC/++Kf4u7/+K2wf7LCvFFGiaKTl7oe/x2jzKv6k5OLeBU/zlL1br4OQeETrCw58u/ZsLQhJoNtk4SQe460BX7XnRHiEbNfGg6DVJbz3dOSQqNNlMBpxcX4EGE5PDpEiRAUVUkmc8yAsdZMRRoKtrS0e3X+E1vqyqkfivScZKNJ+yHAjptOVBMphG7CNxZkCrVIk7t/Wb6Q1a/7Esh4i16xZs2bNJwcPAo1AtQOkc1hnaEzGZHLKcHgFKdo/bc45EA4pNd57mtrh/bOAnbbaA9q01mcdk8YYPO1bLRVN066ICqXwTuB0hPOOyhmcFwTUWGkRHrwShFGMkI7rL15lNn9M11hCIpLKo6uGeZ1R1DlOtkqLqQpclaOVx2aGpgRlFYvacxxGfPC45Oz4MZtqRTi8Sn/QpzgydOMUYWvOlheIMMUupoSdLjY3OKfAOAKl8HiiNEFVNb4xVFlOGGhWQBiG2DAgHA9xZY1dFOy/dIv337/LoNfHlQ0dHbGaz3C2oUIT6hiTG2xg6A16VFVFd7BJFCqOTh6jfUEUaZqmadNslULkNVEsuXblGt+bnfGv7n6DP7/7CqWvidOIhw/u0e90OZock+4OOD06Zph2abwjKwuCIGC1XCISz6LJOT2ZshN2+Rf/+Pd597uG6Ynn5MGSG8E1plmFHtWErkJ5Q1EW9JMOxXJJgCfuDzBVyWDYoy4rqqpCa0VZljhAqpgrB3tcnJ9S1zXeC15+9U2ipMdquWQ8HKNwBGFI2ZTM53M2D/Y4nc7Yu3XAvYd3CLXnb/61v0aoQQQdNtNtykWJCi0b2yN2X9kniTosz3LioktIDBQIa1CpIssLKilan2hZoJVEzZbIIqc4neCyFecnp1y7foPcSoZbB1x58RaPzo/QyrC9naB0hzu/+U95a6zZ7Dl0lZNXM/ww4MVXh2zubnG0TIibDfoXmrKcIbubz72IrYreroADWOvAt8o+BCgN3oLFQeuOBOEQ0rXqu0xQxhAnAf1BgjMlpimZT6cQdECAM4Z5URKjmJ4v8d6jtUaiyLKM4PKMRKEj6Sr6wwgVOJyvAQUWZMjzjYJ1T+SaNR8v6yFyzZo1a9Z8gvBYmyNRVLZGBoKqqnD1kqaeMeyNiXVKqAeUFUjtWS2ay4tMg7MeKQKSOMYJg5QCY4s2IEdcDp6X1R+Vs60q4i2NdUgviYIIJSXeQl4VLGZL0jQllnHb0ehqkhh2dse89Mpt3KMnlFmJlwUnWUZmPZ2DfdI4ZvboQy4uVmhRsd3pIZwnERFd5mQXU46DHv/kqyU/9eLrmOMZZ3eO2NqDeGuLs6ZBDw9YFiVdFeJjxbLOiKUnLgM0fWTcoc5zhIoIwgAnDcIWNEWNcxJFhKkqZKCx1qG6MSKAvXKb4yeHNFlFXWYo2TBfTehlF8jukKA3Iuz0mOcnJDGYfky+ykhGmxTTCXVWMuokjOKYlZgyLZbYXJJ4QzryPAor/ve+4sve8qlBl2avz3vkXARdXu2P6YiIo+WCMI7A1Og0pLQl1TLnjZf6/ObdO3Brg8Rl/IWXt/mNv/cVPr1xG2siznPB7Oycz1ztkjY1mJrj6QIhPb6uMOczTF2jm4aqsdShZVEVBL4h6Xd5NbnK4fEJc1NxdH7Cn/3hHwNTce/uB1y/ekAkK7LVnBKJUQEeyWm14sq1DfzqhHd++9eJujHSQepjXKGoAoVTCav8lE/dfImTRzmz5oxBktAZp0xnS2qraHxALAtUkhJub9Hd3aWfRLh8RfHkkHq1YvH0GK89bhwR3OyT2NtILXj4+JzN3ZjBZsR08ZiNrTFkN5jc+R7Hm08YXU8JtjVhFKN9THZxhM4e8LoUdAdX+CAcsRK29Y82JXGgsLZBKZ4n3Dph8L4BIRA6wKsA7QuUUlRVhfABtnZIBcqUhMKhAouQDu81vV6Ps7MzdAU6UoRAtVzy4Z2nTA5n1IUDq7EuJIkirF8QdTzxbkPSNUShQjmBdRZw1KZmOBy3g6cIWMezrlnz8bIeItesWbNmzSeGNknV0diGylT4GmpbI63HGsdsNmF75zZCKhqzoq5KtA6RUlLX9aXiaGhMgY6jS7+jRGsFXsBlCutHPkr3x7xWz/xa8GyFL2h9mGFAIFpvZONKJmdnNFWJaFrFZr5YsaxLgqTLm59/CycFJxshydEp48GYmzdukC0ylssl2WpF3OmDUfS7XWbFgg4Ne4MdJk+O2HAh27t7LMqKJO1jDDjXUNaGRKWgBfkqp2lqokCj3LMkTYcKNMqCqRpmsxmdTgfr29XB9t8RshRw8/ZLvPft7xBEIU1VIqWnWC7agVNqiqKgsoY0DtBRTD6ZcLC3x93pGUJAUZdICdNywTgMQSu0VgjZ9lp+4XOfIXxwxunhBafvHnJSF4yCPt98+Pt0gh6lFwSBphvF4BriIGB7e8x8es5oNGI6nRMkjiprSOIUGUYs6woVa5yrWeQZVVVQNiVxmlDmKyrrCAQYY1hmGUjFfLVkvL1F5iynT4/Y3x09T1u9cXCT2cUc4T1XD/Yoipwqq9CBQiqFjjs0BlBwdnrM29/+GvNVhs2WpFEXJRRJJ0UoT7eT8JnP/QBPHz3ANzFJGOOco6oKrGno97sUVU0dalSnw8beHl7A6mxCky+RZUGRZTTSg5DcfOElrBEEQU5v0CcvJYGKqUsBTY/pxHM+P+fajWu43gXjvS55UiBiSeAlQaDY29kjDUd08j3uvT//Y6/r//dbKQX+UukTlz7i9sbMR77iZx5G8ARaXiarGsqyJM9zHj9+Cqj29WZBijbgCmiVYCPBSwQOLzxhpElTRWfQDqCNNwQqQgFFVZB04jY1lxp8gHfrldY1az5O1kPkmjVr1qz5BOEpy4zG1UgpKZsSKQUoR6AEp2cfsrm5jQ5S+v0+znUpywClBHmxoKpKAg3eVxijMKZhMOi1HizxbDDU/5+vqpR6HvzxbJBtL6Lb5xRFTlU78mLK4vyIcnaMqEpUGVLMMy5WJS9+9k02rl6hjA0EiuDmFnvXxuAE1aiDHYb0xQbV8TZ+OiPOZswm9/jW0vNBVfDD/c9iTUNxH/J7E/q7eyy7AbITo/sB25tbnNw5YT/eRHuBkB7ZKIRUl71+EUGk8JHFLjN6ScL52QTpaZVZ5zFVhYlSHp5fsPvii2SzCdPjHOEsdTbD2IpGXrC5u4/ygmqywPXGXL1+g8cP7hIPumTziqPyiF7cwQrJRVmxKgu86lDYEtEN+b3f+FV+7md+hn/wN/8Hfvj1L7B53nB4fMSVjR0WeUGoI/qDEflyhTBQ5DWJqJlMjkm6Iwo8i8UUzYC6OuHMrFh5xaKxVMLx+OKU3eEuYbjJh08+YCfqUjjANSgh8cKRFQVpv0ee51ysprz50pucTuas8ozeYMy1Kze4OJkySLvMzClpmrYDjteUlWVz3Gc5mfDCaJN/+Mv/FOcaNja3OTo7J446BEJgXENVnLJ/5TYXF3NM0aETRyRRhK9zJqfHpGkKvkIKi7r6At3xENPUmNWCqMhoplPOHj2kxJLubdPb2iLsD8AJkrHnfHIfGWgUG5iVwOSK6TLj5ueuMl0ds3Vlj0bmoBW1bejFISrRFM0SH4/4V9/4GmLnFQIv2x5HHQIOpQTei8uE248GRYfHe/v8bFhrnw+SQaBBOJxpU43LasXh4SEP7j/BWYW1glA5GucJA0kQhfRHQ0abDedHcxBtr6QTjt4gojtOGF/ttOcPwTJfEEUah6WoSkIPdWWpA49dD5Fr1nysrNNZ16xZs2bNJwbvPXmeUxUlWkk0gijQYA11uaJqFtx/+A7Z8oI40kjaNNcgCEiSuFVIpKUx5fMAj6qq2l7Jy4tQ7z3GmOfvezY4fqS0tDjniOP4edKrcW0nYV3XmKzEFw3Li4zz0zmEIbu3byGHCbloOFldUNoapyDsROSmJIglTnnS/SFhX+DME3Z3LD/7n/8YP/2L/wHmluLg+6+hx6BtzuHdtwmyOTuRpMorFsslcSfmaHJMkgYIX4G1eGdxzmEdNAgaL4m7HeqmoT8coOOILMvaxEshkGGIVZLOxgbxoM9gvIX1CqU1VVXR5Etmx09ZnJ6wMxwym50zmZwx3tiisR4iTU3DolmS9nvUQcBnPv9lslVF1dSYwONXU37ra79JNtBsv36bl7/vM9h+hzkVD4sTnuYX3F9MYNjhKJ8x8yVlU3KxOGfnYIf3Dj/gaLIgSjfAKYgi5q6mERaEYJpnTEPFo2xOSUAtJZmpyW2NkTAvcxrhWdUlBIq98R6P7z1g2ZSUpmE0GlGtcmKlGXYGCN9Q5gsuLi7I85yNjQ0ePXmIE5Zf/vv/K3Vd0lhDWTdsbe9inMA4SW8wZLwxQIeSIivpd7cIVfjcj2mMIe32WZUFUSch3txgkedIU6Gammxyyur0FGMcvcGIZLwFUYqXHULZw9cp2+MbYEOKZcn8YooUlhvX93hy/KTtOQ1SysLSlALhNUqG4GqCSLO0DjoDGvuR+i4lCNm+1p+/TwlEK9TjnMW6j7zDzrWvm2fnTCmF9wZjaiaTCffu3aMsK5yDKEzwz7+ObFdRlSJKYoIgQKh2bTbtabqjLt1hBxkFGGcIOzFRklA1rWdTKQWuVfq9leuGjzVrPmbWQ+SaNWvWrPnE4LzHe4lAY2oPTlLMcgLRRcsErSyHh3f4w2/9GxazM5JI4XzNdHZGli+REpqmIY4TrLWXJentUk5VVc8fzy6MrW0rPsqyZLVaUZbl8wtn7z1VVWGtBRsQyIS0M2TQ30RUgsXhlOOHhzRlw8tvfQqXxiytoXCGOI7RzhCaBputiKxlEIQMo5DSHDLeqvivfvHH+fmf/QJhdEjtntL/9DbTcU02BjXWpIng9N1v8/u/8suwcogCpBWkUnP/7Xc4vXefTgCBq7BVgXcNSksIBLXzOK0Rui2U7w9GCBTOeCLl2d7d5mw5Jx5usnlwi90rL9MEPTZ2r1FVFXm2YDE75d6H79FLHE1xQZUvCXRInKakvSEukJwvV6iNMb/1B18nCjsMNoeYruDlN64yOz8kawr+4e//X3xdzPnJv/Ffs1SS4dXrlMOYh82Mrz38LnqnS5kacmPIaPj2++8QBh2S8Q5nmWEYDKm9ok4kQSdCCs/WwT7z0BPubVEGsLAFLhQsKJmRkdmauSlRwy73ZocUWFQac16XDPd2qcuC5fScrvYsp0fMpqcUqwWj4QAhHE+O7tEdC37r976CDwNy1zA3JYu64Hy+IEkSkJK8aNjcuo6rQ4RVCGsIvSeRIaayiKjLtHZs3noFRltgQDeW8uwUN5/y8IN7ZGXB/utvsnHzJfYPblHmAlsrilIyeQLd4Aq+THCNYTyK2NsNgVN2urvEvk95rsiOQK+6DNklDMbEJOSF49HUUKa7oDs0Td2urXoPXHobVZu6+uyMPKu5gWf9qu35eXZD5lkHq/eS1Srn6Ojo8nkCrRVSgfUOL8B6D0LQ6XXpdruXa9UgY0fn/2bvPYNly87zvGettXPvjqdPvvlODggk4pAgCZCAqORASsVgUeWyLZddkmnRsVzSL5VsmTZLtkslybZIS7LkMmyKQUUTDAJAUmBCHAwm3blz47n3nnw677yCf/Sd4RAiZZIWpwpEP3/2Obv36vCju/a7vu97337Axvk1OhttAFTgk2U5TalJ/IRItUhUG0+HVFPL5DDD1OZf+L1YsWLFHx4rEblixYoVK75mEEikClEyYDEvkM4j9BOwMdb4OAOhLymrjIODB2jTECceQbiskkgpcVahm+UNcZIkyxiQhxVHY8ybVce3ViGVUvi+/6aofONxrfXyptv5OOujZEgUpQijyEc5zjSMxxPWt7codI0TEp8AV4N0S2dLTwp8JZBK4ClJ1xfk4wOkmBMFNaIo6ImI8uYE/aCgWkCuA4a7l3nq6Xfx2CNPMrk3QpUSrxaEzsPMciIreO3F55mdntCKJFaXTCdjjk8OsQgaYynKGuUFWAtK+bTTLrKpoSnpdvto5+FkRJgMWD//GA9OZyS9HsZZalsxXow5O7iL7ypmozO67R5KhgRBTBy1sVJwOJkQxB2U8kCBjDxu5YesDzp897d8O6fHJ2w+cYX/5cf+HtJI6tzQafcIQo9up8VzH/wGumlIaQTr6zvkTlMKy1k+Z2Y1iYqZTue0uh2sXbrqgqQ0DXv7e7S6LWpdUosaqyw6sGgsKg6R7RgVJYzzBZmpufDIVbwwYDodky0mzKbH5PkZRtckSYR0lrLJ8APLz/2zf4IXFkyKghIonMEFEuU5lIDpYsrFS1fJ5o6qUERBSKulmI+n2Kam1pb1nQvUKkL1NhlcfBxmM1SWIRY5+7dvM9jYpLe5RXTuPCLt8GDviMvbFynnFSC5cmmX2zevM+i38aUgm83Zv3/AYpYRmgivjji4fooeK7pySDMSjE8qyoXF81JeuXlEZiIMIUK6pcOqWLZvCyFQnsDzJdZqEBblCazVD4Xlb2WtvlFVfENQGi3IFiWLef6wQikxtiLPZwBYsRxBVv7yO8nD1nArLHHiE7cC8DSNa/BFgDASZT2SICWUMb7xqeYNxaQiHxdMDufoZiUiV6x4O1nNRK5YsWLFiq8ZhBB4KkQ6R9QKaaoSrMO45c2o8JaOkGkacfvW6/S7A3avPEpZLhiPpyRJSqvVxug3RKJ4c77RCgGON9tagTcrMG+IxjdaWuu6JgzDN41BpAxQvqMoS8rCIIzH5GhCs8gIY8nNO7c595530DQNnrP4XkTtlRRZSb/bRiY+s2KOlJLi8ITv+djHsPoBSMEgGLC4V/Lo2QaTacXxVFDWspUUWwAAIABJREFULY4MxJ5mkTkuXDrP+GyBKzVtLfEaCBpBIAxH+3e4dvs6G+cu0O6tMRx0cQa0MZiqQmqLLyQCQVEUJD40ZUNZlhSLmsj5xEGXzmbCroN6doBSUM0qhIQ6H3M0H9Pt7DI6OaUzaJOVPlqXIBReErLRHWBtjtanJP2UTNVMDk+pxy2e2L3IL/zcz3NOtpiMK3Yu7PL8vZvUeoYh4+jmderTIwK1yfFkQhl4uNBHe4IgTTCT5QzlpK44HZ9hgXavz8HRPk2ZEUYt1kKB8JaGLEXlUCjSoMPZfEqtoMwWnNvY4v7hETGC7TAgcpp8foqSsHnhMabTKeHQJy+m/PLLv4mlRBHgoh6T6RzpWSaLOS18pHE8+85nAYkzCUgPJ+fM5ifYumI6qiiNZvPcJarJnJlRzE/mXGo047MR9269SrvbZXP3HEGaMvF9dK7pRh1k7miHMQ3QmEPaPUMcWaQfI1XKIptjG9h7fY/hcEhsO4S+x2w/xwUG1U7xJTy4fwreOjVtZKVRSrzZwrrcSNEI4S8jcHwfU/1WFR65/N4I9ZaWVykfbqxYZtOc4+MRUdTCuorSlvieIklCSg3q4ffLWkscx3S7jn6/jxWadBjQGaRYlps7ogmWitOCJ32qRUU+y5nNZlTTiiLXVIXE6lU/64oVbycrEblixYoVK75mcIC2oAjQGow1CKexRYWUkqqRWBGTFxV+6PGlL/4Gj1x+nM3+GuPZnKyqSeMOrSgkr2boukQIQVNWxFGPwG9R6ila1zi3zA8Mg+jNfEmrDBiBNQLTeCgb4HshdWhoqgVCz2kF8IUHdzjVNd3WkLouefmTv8lmp0tns8fcU1hlCNWQNJW04jaV1PSGHqJYsLbuETRjOtIgiwydg1woClNA6BhupkjXoqkFvt+lM9xAVxpvbihzx0I4hhcucLr/gDQMmMwX6OmMVx98js3hFroyvP/D3wFGI9OEojbU2mEbiy8jxsWC0EuILWyvtzk+O2SUz4lNivQjKm+dOoywgSGKDOXcoypnHI5vs7Y+4Gw6QYqIXrvHyewewTznxGrEMKbf3UKelRANGAwSnn/+OusXh8jRIdM64dKVSxyd3eddO45vfe8H+MLnv0TlMhadkF5piaVh7hyt9oA7h3cozs64ur6DV2qyoiDc2H3TDbQfOqoGIimoaoc1DqIe2hqcbUhtxOhwSpZa7qmSO1XG064hiFJuHZ2xFiV0haTlKQ5vH7F1cYebp/d58cE1iFOsSJhozbiYsBZ2Uc4ifI9cN3zbt32E0zv3mUyP6QURygCNQWuLjmLOZnPe9cc+yjyO8OqKfjnGHR1w895rzOuawSOP0eoNqJI21g/oTyFJ1jgtT5jZjMqVhEGA8WPStT6zxQKvhtAPMGWD7/tsb29jBKRRghUlpioJUVhfc+gGfPLumFNZs5A3sSKkG3ZptVr4UfBQHDqcbNDOLQcPVYnDILAYvXSD9YXBeY4ajed5mAbmoxmHp69gZI0MNMIKQi9cztsqSEqNM4I46iDwoR+S+B6X3S6LYkKro5CBwA8l2gmkMVSloZw7TqYLmryiyHKccxRTixAKqy2rnMgVK95eViJyxYoVK1Z8zSBwmKaiqQye8DGNwmrDfJYjpUQ7S6OXFYyZrVBK8cXPPs/m+V26rQFVY2g0lGWGEnZpxiEM4rdqI0RRsjTH0Xp5xlpAohTgFA5wzlCXM7SUeEqhywKJJTQ1/ThFZppY+yALYl8gvBa3X7jD1WceId3ogLSYuCK2AaErSaIQV2ZEOFLfZxh3qKYzqswy2z/DK1KiBnwvQilL4glMaciLCb5UKOsjaOi0U0xjOR2dIYMIU1mMBm0N5y5d5PXbN9nY2OBn/+lP8973vpeN3fPUVYXvhYhY4klFrUPKyhCJkNfv7KMCiR/3eO3w0+ysP8Zm9wqBbHHvbsTR0eu02horfQyS0WhE3OrQ1JpaVsSRT6gkk7IkPy4I/IR+K2HS1Jw/9zi77+vx6uvP02n7lLMxWR6xmSZU0wkn90b0ezt0zl9mNDO0RIhX14hSY3TNcx94P3svPs/pZIYfpexcvMSd+ZSsaWirAKcbtgcDwqxBWIEfhxzrHO3BQEbMq4LBhQ3Cjub63TFHsz1SP+WbH30PVVYS1ZZYBVAZ/J02dydHvLx/Ay0VErXMD9WG9bBHYxtkGGJcwzc++SSnd2/jVZK28hGNwQ9DtAMVeowzw9Pv/iBNaZiN92kHPod3XycAFjUMti6wvnGBSmtM6Ui9gPF4xnyRY4xGBYqNrXUmkxGLeUGe54SRhwokWT6n205QSrEoGvpJgqxr5nXBIi7YvXieI9/wt//Rx8k2zzOyUxo/p98fEnXXCUMfKcWyu1RIDMsW0bqukWpZmdda80bjqJPLSByHpa5rbOVYzDLm4wXtdhsBaCzBW1pfjQZrwVqNcwZPgRcYwq5CewH4BiMsToMTEpMbqqJhMWmYnM5xtcUZ+7CNdnkbGwQBeZa/XT9DK1asYCUiV6xYsWLF1xBSSkLP5+RoQpM5ytmyqlHUvDnLWNXFw6stvu/z/PzzfPijAx5/x7s5WyyYNyWLYoGrDEpJjNEIISjLHJxg0O5Tq5qmaWhFSyMeYwxxGFDWgNAgSxqdUdYZOEteH1DnBXZU8Ppckx2d0CWkqhUSgZ7nHE5fRMzu8M4PXCHpBGz3tzg33KTdjSAK2Fw7Ryp8Fsfr9LWg23oSOhEzWVOdNsR9RZK0KOcVd6/fIQ1bECqcVEQqpNKaOBaEXhvbTsnnOc3ZAt8zODvh9p2btAcps2aBZzSvfeXLfOHXf53NrXNcvfoI7bTLaHSKDQSTRU4nSfDTIQ01cTdhsdgnvjLk6M4t7r9+yu76O9nuPc2D117CS1qU+RwVhMwWM6SsCQJF5LcZTadgIPFi8rszNq9cYDY/pEhLHty9T11WbG23aRxk98ec717kZOHz61++wQf/5J/glz7/PK1Wn3pyinKOOAqJhmu89sorhFYzKw2hb7j22jV0J0F40N9cp5MrQicJSknQbbE3GXEU1AS9DlHjEQYBRTniW77jg2hm3Lz+gAsXhtx47UU6maUT7TKNJX6/yxfvfJm4lTKXkiCMmRcLGmqiMGSmc0w35GR+wg/8qT9NcXOP6WTMpulQ5DlB3GK2mCCSmHlV8L4Pfxev33iNlnOsxT6j/Qcc3bjJ7tYmj37Dc2gLftimbgpSP0bUksHaOoO1HqfjE4yrKeqCrd0tFvMGZ30cFUmS4GxFXRd0OimxP8QWBVpnuMix/sxj3NQj/u6P/zIHlUdxNqcUHpeu7HBuZ51+u7vciLHmzRlFnMI6SxT5WLd0HlZKIUMPZyXGNGhboUWzbGetJeW0YnQ/p0wsg/UufgjCczhpcM4g/XAZz1MWhEGMkA1+YLA9DxMENLrAWYdQAUVWY840WVYzPsmoFhpfeXhSYusGJSOapnnz7a5YseLtYyUiV6xYsWLF1xTq4ZxiXdfkixpTCRwRyzqlxbMScDSNxjYgQ83Ln/syWxuXSdKUWmpcFOOURJsacARBgNYWz1f0u33yPGcymSAEaMeyQlflSJXijMHqGm1yynKM1jWwwJoaP4BZPkN5YEuNW/jk1YzhmuXRJ/p884ef5aN/+n2cjo5Z7/YJDeBBJTR+dkJkJL4NYFoxnWmKusY1CWaqML5kMctIAp9HHn0cP4jRWUk2zznZG2GsoxVCVs5RxsNhCNKEaj5m2B/gZ4pZVuAHPr4DW+RsdFKy0Sm/fPMmjzzxFJcvX2ZcLthcHzI6ztja2GZhZsjA8fKN63zgQ89y8NIv8b1/4fvZuxnwm792i60nr1LlBYfXF8yyCd3EJ4gl2hTM56B8iS8dVVNjG012NMPpmtPDEaO8opN06Le6XL97n3BtjZf3XmGrtYaJ+/zjT32S8aLk6oUrPNvv4tUVzaJiNp3QWxvQnBZsbW5SS8Ug8biXz1gfdJjMR9jTY4adHpXVaASmFWCxLOqKK9vbnL16h8SMufulL/P+rYu462ec3tzjfP8cDSWLNKBZa/Pl+6+jzZyBiDBxSOEgWeuxe2GTeT5l//SYfc746L/xHYzORthZhvR98llGGidUdY0fxkzKit2LV3j9xmskSYSyNfdu7nF6uM/5nYv4UcCisKT9LqNpRtpqEagIpw1BHGCwxK0IrSWzfIoX+LTTPrPZlLXhAGtKWq0WupYY49AWrDYYJbmfTzGziH/4qX/KpLNBMNgmNxWBHyKVIPQDBBqBxFMSIQUGgQSE51Fog8MtW1bfYj619HF1GFsTeDFVXTMdTQlsh2rakHkNUUfilEaFlsY2eHhvOru+YcpjjMNJAUqCXs5W1kZT1xrlFE1taZqHrasWhJB4KsA4iyd5M+N1xYoVbx8rEblixYoVf8QRQqwB/ybwJ4FngV2gBl4E/j7w951z/0JStxDiOeCvAh8AIuAG8L8Bf8u9NW38t6/5U8B/BrybpX/Gy8Dfcc79w38Vn8UJQWetT1NZMGfMzyqqqkY4uWx11TW+coSBYtDr0W7FbA5SgjDl7guvsPPIVQYX+0yqBhl1qeuSpDUgCAKKoiTPaq6/dgPP8+j1O+R5hudJongZa3B8PF5m/lVT6mqGcBW+Z4AEAkniK9pXEuykYnE0ISyO+U/+4+/nwx/Z5f6DX6c/bJPKEhP4dESD0hohDJEf4UmPZlqhZgFiFmBmKbaAdtSlyWdI1UdKi6tLZnVGux1R5AIp22w9tYbnKZQxlNOCvZf3aKkYbaG73qEaLei3N5iaOVVVM9MzWmELkeVspF1857h/9wYvv/IVkkDhyzbvfOp9TM/u46ICdMXjjz/KJ3/hk3TikJ/75CfYOxrxnd/1PexeiPnJH/8Ug2SN+HSLrbVNvvT5X2PQ62JzgxUOEQocEHgew/UB+WlDtz9kPy+ZTA45uH/ChfNX+dif/+OMrz3gU//Hp2hdvMLeqy/wnne/l+J0woOzQ84N1miEo7AV+ayAImNSnSDTNofTI0Q/IcsnjE7u86QY0ApDxlhGuqBJfBajKa2gy4Mbezyzcw49d+RZxi+9+CsMWrusb69zcjaF9TVenR1w+/QlbOiz6zmsyZCNT6vV4v70iNnphCBRfPTfeh8jAdyb0dw9IZ17ZA78OGCUzYmjlEWec/XJp8gbja7PmGY1Rw/2aMUJw61zyP4mve0dMq0R0kMFIb3hOs0ip782YGGOqXRDUS8jaHZ3L3N0dES/6+h0E3xf0eqsMZ2MUPgYDLWtCTox1dDnC9de48UX7nE46OJ7A2pbEaUJ1jkCFWEaUPHSMMdTYOwb7sESh0QIC/z2jFRnBcZqal2ifIs1DdWipFo0pG6LrJ4xPy6YTubEPYWXWILIw4gGIRQCD5yPcDFKOLACYSxNmQMKWxmoLFllsXh4vk9ZVkhPgi9QQiCcQSoQLF1lV6xY8faxagBYsWLFij/6/Fng7wHvBz4L/I/ATwDPAD8K/N/iq7bxhRD/OvDPgW8Bfgr420AA/A/Ax3+nFxFC/CXgZx4+7z9++Jo7wD8QQvzIv4oP4hwYAf21HucvXWBza42oFRH4y5DzVium101Z63XZGPRY6/dZ73Y5v7HBk5euEkuJMBpfCaxxGGOYTmdMp1Occ4SRT787oN8dIBF02x2iMKQuK/JFRqfbpp1GBJ7COo3nS5QSKBkRhSkyCGkN2gwvbBANWqwP4SMfuQTyJhevBPR6EtcE9NMLqLiNCFtUTnI6zTga5eSNYnE8Jx9VmIWi4w9oJppExrAICJqUmDaKmPFpRr5o0I1ioS2F1RxPT7FC88STV2h3IvzEo64L1vs92l7I5cEW59sbtJMEo2uqbEE+n9NJYvrdDmkSsxiNGHY6/Mqn/xk//3M/xSsvfJaD+6/zxz/2rTx2+Z2M9zvsrn+QBse4eZFZ8qt85Pu2KeObfPhf+yZO8hlhe4vCxCB9rBM0ziIDSdpr0x32GPYHPPn0M9ze28cJD2sUZW35kf/+h/nEJ36Slh9w9+YtOq0unobJ/tGyomgbhptDjs5OWeQZvfU+3U4b3RS0WhFrwx4/9EP/EY9uX6YXp0wmI5pAcqYrjhYTBr01XFkjyprZ6YjKaqamQm4NOQsk+0XJLPB58fSAkS/YvfooKoyQgY9THl4csje+R3ezx6g84wf/y7/EZ379Z9HViKNr10gXNUkOUe2xaEqCJGJeZHT7ferGMM8LXL1gPj4h9CT9fp+0N2Cwe4mZVhRFAUg63S7T6RQ/DphnM4ypODk5QEpBK+3w4MER7c4ax8eHdDopja4ZjUYo6dM0Dt0s8xyPZmN+9nOf4UY2Jk9j8qSFH0R0OwNaUUwrTgGJ70UI6VC8MQNs35SMkmUbOfyWc/FbI3CWjq4OrWuqqmIxnSNsSCBaYHwkPk1pkcJD1/aN3wqk9JburyJCyQjlltE9zvoILbHa4CFQvocX+PhRSJzGKN/DCYvwJJ5axql4SvI77IOtWLHiDxGxDJVdsWLFihV/VBFCfARoAT/71oqjEGIL+BxwHvgzzrmfeHi+w7Lq2AW+yTn3hYfnI+DTwAeB73POffwtz3UJuAZkwDc65+48PN8HPg9cBZ5zzv3G/4/P8cXeZvoNH/333kcSedjKkJ/MObx7QHYisEazlvqstTvEQUSnu0Gr3aGXrJMkCWmvj0wSXKdFLR2H9R6j+ZjK1BjjaEddWn5KZ22NVpJiqprp5ITJ/JSsPEObGs+F+KFPXmbopiAJAoTRzGRE4hS+azBoyqMDspv3eH+/4d/9978XmYzwo4RK+wgVIhQ0c0sgDPVkiplrBmqbcmGpDySYiMCuQePhqgrfE5weZ3T7PWQUIvwAXVRIvWxZxIUIZfFDRZZPiSOFs5r89JSmbPBlC10KdCFI4zaz+7expmZ+co/ZbEapFUH/PGHap2pyNIoHB/uEAcwnt/EoGZn7PPKu8zStkldu3sVX8P3f+zEuvPceZa0Jt9/NX/kvfopve+d3M/3KIfdevU7jd8kKxZUrVzjZv0vXRtQzw763YL9lualnvGNnhw+GCV954Ve5uPNOsumMvK4Yt0PywGMxr/FRdKo5Ss9pnXuMa8WC7OyQK55HVxckwwE36jnzWrLd6uFXU54YrPHgrOJaJpBbHYp8Ss/FuNKyJmsS55N0etw7O2V9sIFvoBEWGwfs1zWFaRBolDGsmT7YKWWxz/bmZe6PbvE3P/59fPHV/wd96Pj2j3wzH//PP8Hm2TM0M5+yNcGJDZqmYWO4RtM0JFHIYrHgaHxIp9vn3MXHSLsbNM7iBERJRBCExHFEFDnqJqPIp0gFTm2gAsVkdkYUh/QGbQwGsShpDftMXIF2DTIv2DIeNiv5pL7Bq4t9Xk8qisCjHfYJbUSWtLCeIVcFzrNsbW1x4dxF/G4PrMY0bxhKgUMuzW1svWxjFaC1XhrtSIk1FdITy+zVwnLrhftMDmaoaUFjKzI7J94ICHseXlviJCi3bILz/RgpfJToUFcGFpIsnzBfnNLoHG1qrLU0Ynmf6nSDpwW6tpgS6sogtcbWEVLB3bt7NNp8yTn3jX/Q35gVK1b83lm1s65YsWLFH3Gcc5/+Xc4fCiH+Z+C/Br6NZXUS4M8A68D//oaAfHh9KYT4q8CngP+Q316R/HeAEPjhNwTkwzVjIcR/A/wY8B8Af2ARCSAQ+F6MpxQyESQbKYnf5VAe0BQ53TiiFYa04pR+p0+atgmTlCiM8MMQqRRS+UhnSFtdirKmKGuMFURxi6Z0HB7uk8YJsR/z4O4eYawQzlFkOe3IQzcW5Tnq2tDoCs85sCVCKXzPg8ZS5QVWO159aR+cpK411mvwoxYGhzGapLWGMIak10ZLw/zQocsQbWqcdswmY2KZoLSjqCvWkh7ZZIENSuJOShKEOGmYLqZ4/jK3zziB74eUukFKnzDpMJkco4sJid9COI/JaES4cRHdVAgrob5HpBv0eI9yvIfcvkQQ+KztbLHIp6TJeZSouXvjkIP7OVee3aLlj2htxvz1v/uL/PD6h5kWJYsbGS99tiFZvEBCxbHaJzE+Fp+jw/tIp0nSEGkaQi3pOOgVhuz+KdelYGPrUfbOjujHKW0RczKdU4UBBAkyjFlrCzb9Aa/s3yLtdAnSgEA6UjXERY5HNjbpD89z+9pdzl28yOTBHQbrOww8ycm8RDYNSRwSJT5M53SGa9yYHsGgQ9UJGB2PoSmwTcQom5O0U+IowJoGVIbRFYN+h7y8yzvecY5Pf+I1Pv+VY77zW58gyxSTXJM6gwhCGulBkRMnMUI4vNDjaHSMUooLlx8ljBOCsIWQHs4sZ3HjNKUV+pRlTlWBbjRS+jR1Q2kWCOHY3FjDDwS6qXC6RPgBUhs6tUULy9ho7rZhHjTcvDdlLAy+H+CUj/AUFkHkNTTC4HmWkoag18KlPlIXy6xVafGVt5x1NBbnDAsnscLhMFirEcIhlcWPliY5igCNo1oUmFKTFVO80CNpJ4QtDz9axuMI6RDaEIYh1mpwEudqcIIGS4NGywYjLcZp/NAnjJauroFMkEZgGoerJFWlGd0/o3EG3y3nOFesWPH2sRKRK1asWPH1TfPwqN9y7iMPjz//O1z/z4EceE4IETrnqt/Dmp/7qmv+wDgEujTkDjpxi/WtTboX22z3X+Xk+BiRGdqqTbvVp9vqEQYxQTsliiKCMFw26eUVgRTEXsJ6Z4vGwGwxB+cTpiH90CKtZHZ4zCPbuxTlgvunZ6RqWXWsm4ZGNMv2vSxHIiAUGBXg/AhfKvLJgtN7R9x7FUytCePlTbxzhsY0RK2Aelxha830TBO4FkYkKD+gve7jjMJEkrP9EZERtNMOTCyxiDg7HSG1pfEk7XabTrfFbJHheyGgwHkIL0TjCHyf7Qs9xoenzE5H6Lzm3OY2J3mORdG99E62rzzL6d51pndewFZz5icHELbZvvQIoyTmNI+oheVDH/q3uXH9i7z4mbsk67t4vZTHv6PNT39xgjIeX/nMr/I3fvCv8LM/8xO0txZ01kNGNzVeGVAtJvie5WBcIGyIj2FXBGxGG8wWc+pBykv5As837G4NOLn2EufbW5TDPi/PFhRWs2VLjkanPDIc8KAsmQWSK49fYlHcp92Cza7l9PAlRDPidBYxXPfoD2O80YS2rTi/s46eTpBNhe7E3MmPeSAKrHPgInbObTAZHzDPcjZ6KYvFAlsrWnHAWi/h9CjD6ow/+wOPczje48ufy7i6892siYbJq46O2iVrDMLUVGXDZtrDCzyyao4DJmXGuYsX8Ft9wqhFZ7jDeDKnPxgQtiKMaZC2Io188qpkMp7j+yFJq0eQKILAA1NRZw1SNLTjiLnnM64XSCy5Z3h1fMTLhwdUnsXYmo7fYa3xiKOUSiiSXo+yOqKShv18TPvcJhtrKVJqAutjrEYISa6XjsUCi3UWg4/BIZxB2wYpLb4foiIPYSWT/Sn7t4842jtA1B6FXoCD9eGQoBUiAjDCIKQgCEHIBiU9jK7RRuJQaCHAhzD18Z0FsYwacf7SfdVXEh+FM5KmdOiswWtFSAfaNCsRuWLF28xKRK5YsWLF1ylCCA/48w//fav4e/zh8fpXr3HOaSHEbeBp4Arw6u9hzYEQIgPOCSES59y/NNBNCPHF3+WhJwCk9GhqTU6Fblk0grgbsOENmdyfkPgdkriDUksTFBEESE9RNTVCKBSglMJmBl8pPOPhakue5wx6MU1VoosGWTtaaYCUIZ2wxWQ2oaHASouKFVYpgrhFkS3AGRrtCJMOSLUUr0HEX/zLzyKlYL6YErqEVifGIakXOcqAqS0ba5tUE0vtSay25KUBY/FlxPrmkNB6ZNMZnicoi4I0Ten3+xwcHdE0DcJTeJ6PEgLTGGpjSAZ9FmWFkD5GG9Y3t+ikXRYnI27cvc3OsEOlFfOJoUl6dM89StRukU1Pmb70GrpccHL3PlGvz2PnrjLLM+7sH7Nz7ml0vsatoztspee5V2UshlNEZnj/n3gv/9fHfxSyOU9f6ZKVFa3z6xzeKSD2aXQJkSJvGuIgRC5K2o2HcBK3tsZXbp3SSyzH8wlXty9RC8vcF0hXUxcF61eGBHOLMoZz7S5TP0CFCemG4/GrA8zkgMFmi/bmkFlRo6eSo9kBk9kxOzsbhN4cIRsGa0Nuuppbe/c5AXaIKU5OMJGhcCVe4GHKEtHU9Hvr+IFkMV/GUexsSqw7JO3kPP7o4/zkT/400cEl5genrLktylKjpMQ3kqzISETCNM/Iqpr17R08P2Qw3CIMIk7PxgzWNlBK0TQNcRxyfHAXpTwm0zlOKC5e3iGKEoTXMJ/PSWIfhCMIA2bjEWWvRzLs8oCMn/mNT9JuJWwmPaTWrF/YoCtDgmrpgZUphyQk3Q5pb/RYRJqxrTirMgwNLlxjXpQU1qe1tsloOqGpa9I0xc1zrKmXURrOEMQRQkqsEUzPxty/uc/xnRMEUDcFpWlQCPKyINTesoJoDb5c5pkK57DGoQhAgnUCzxdLm9UGEAIhBXVd0ugSrWuUcAReiKciLAqrGkToQ9nQardw91fjWStWvJ2sROSKFStWfP3y37I0wfmEc+4X3nK++/A4/V3WvXG+9/tc03p43R84FVwg0FpjpWaeaw5Oj6jaDYNuF4+IjfNrRHVMqGKiIEQFPlhHXZQ4qbC2QVhJFIa0nKQWNdtpB+kaLI7R8SECSznJeHrrEh3XIpQeOtYELmFSnJLrmiqr8aMQ5UPS8ilEhq4NpXakacTlRx+jUyu+8YPPYmTO7tY6+axkdHufVtSl3YqZnEw4PZwQ9AMofSg1yvhIF+KcQyoNCPKyxsYCr9OipSOarOLl165z/txFTsYT1tb7GF3TVBpZWmLPJz8aoZ1Dpm0CP6IuG2oD0WCNq901zOnrHB3s0e9d4OjklKA7JN68yCRY55EPnmN6NuL269cpyxJhGlppi/OXruImCgAxAAAgAElEQVR0RqE8PvT0B/jx3/hp1p+5wHFyC+EZbsxu4u1YekWbo+sH9NseNx68SFudI/DWKD3BLDJ891/4c/yjH/0xduOQ9TBEGnjp+D6BJ5jVlsNshl9lNDonlOsE2YKuFQwvpOSLBe04oikN59Yu8BOf+EW++Xta9K72KfOck4MZ5y48wt3bJ2wn7+GVl15m5xHY2Roz7G/jikd5+Sv3mCaW97zr3Ty484AoiHnH1cd57fNfxA1iPCvwjaKXDum2O9y8d4fQhXRTxfp6yoMbx8SdIScPjnj2yXXkrE00cTROklMSRY7QSTKtmYzHKC9ga/sCa+ubrK1vcHo2IUlSNoZLAel7HvPFmLODeyxODkk7bbZ2dvECH1hWyVthjdAlUobLTQY/xkV9ZvMS24E9nfHUc9/E0AtJ757RwWd6MmYYe8wPZ3S6KZu9iHpSo+qKuBiRJCW9qGG3JyAMEUnEg2LKXg6ZaUjDEOMJqtkZUW1pjMZ6cumiqgKcUMwPJ0yP5lz70mtEIkLrGuvVuEZQG83ZyYjR/Ix2P6W71iLAQ8sSpQC3jPfASYQTKNGANFhPU1Yz6iajLHOkDCjLHD/yUbEHTmOdwAlBLSxeO2ZRZatK5IoVbzMrEblixYoVX4cIIX4Q+E9ZmuH8wO93+cPj72fr//e85nczxlhWKN03GFuh3TJnrmpK5tmMKGkTtjq0ohQ3dwgjwVc0WLyqwQpHKTRSeARKYa0lsBCGIaXOGKQpszJnUSxoarh87gJtr4dXO5wLafkdXKTQ1NBU6HqO1svcvMD30VLgSYeTPmVjGXQ7XP7g+7l38BK94RWqvCISCcO4i86hzOYMgm208hndndEOB6hGIJxFKYexBuMM1jqcp3BKMHMFIgCpBY8//RSLeUmcdAmiNrPJCfWioi18bF3hex5SCcrFHN8L8aOYtNPDWkdeVOjeNptBl72XrvHOd7yHcW15/fgB3Y0d5qEg6Xa4lATceOUl7OkB5sTSe9d7aXc65E3Bi6/d5Vvf9508mN9gNjWMTu6hPM03Pvd+vvCJz/CuzStoXfD45TZnew2mMrSHXW5N7/E3/s7fYiNNEcLn/r27yHaXnd0tTq7fpJYwyxc0MVx6/DzzumEwbfBlwrmrgnBtl1u3bvH0hUf5P//BL/Lchx7nuecucDh9CZtY5DZYEbDzyFV++Z98lkU255s+uEvaqblxfY/nf3MPdJdsktMUkjRrqIsZ18pr6NinzpdVMs94pGGL46MRw60t/qsf/EF+5L/7q7z00l1a/oDxaMLITIhjhdI+W/Q41TNyWdMJFdm8wdQBoR/THwyJW126nXXu39qns9aj224ReBKs4/aNayxmY9rtFk8+9jQGR9iKKetq6dAaeqjA0W23yaoKZEBlPUoXcuH8NodnJzw53KKxGjMviXpDYuUTBz7z6YLeuR20qdk/PSJuh/i6ocrmbFyKCHRNkgRkeowcjdnsrrHVbnN9lrHQJZWxtIUl045QeYzrhsAPsEZSGUMxqhgfTpCNpNQFKAOhI2gCFouK/aMj2v0E7PK7gpZEbU0QSASgHopInEQBdV2xWEzI8lOQFWAxxsMZCY3ASoeTBpwCI3AKcALly7cmkKxYseJtYCUiV6xYseLrDCHEXwT+J+AV4Nudc6OvuuSNamKX35nOV133xt/Dh2vO/iVrZr/vN/wWHALppwQPtaiRMNMZYqoYDmI63RjrWWQjcdZjlpUQVWAtTaZpRS0ephRghEXhMQy7OCUZtHrstrZI/BjbCKT2qIWkaDTGKAIRUROgXYEKJXHgEXoxnghoJy2aqqbO5+hao4cJiyThlX2fJ9sXMdktPO+MUZ5xtGe5ev4pmruSfjVgfDIliRXS+iACPCcQfkQuzNL5UkBV5aSkGGMwQKU0oiWIWx7Gy+m32oxLTWE8dN0Q1BJP+iwWx8TDdRbzEXG7Q+UsRloClWLCkO0n3sELN25RFSVPPfEEkct4abpgEQaEF6+wu70N5ZT9e3c4vv4i9dqAznqH/taAF248T3+jz7vHF0mvvJdr5RG/+Cu/hpomHC0SEtGjm2ika8j1lPW1HZgc8/hjj/Fdf+67+bG/9sMMpMdGHMJ4zmUnaD2xwb3bt9ibNpzzOzz3gce4Mgu4fuM24yClYzWdncc46tzjIz8kuP+VG5wUKZPZnCR0uFAynjQ0txOqic+3/rFvZt79EvFOn6cefS+3j75AIhzDVkN+ep9edB7UFteObjMxp1yq15ebAoM2X5od4scJwWnOj/3Nv46dV9hwGx2vsW9uspFeospr5i7Hk2bZEur5TKcZqQro956gbkqGgwvURcn0ZMTl3fP0uwP29vY4WNxFW8Pm9jZPXX0MIQT3yn2y+YIL6Q62ruh5ARuDDa6d3qfdcggnMU2Fnc7Y3tjATA64FEnqxQSVRhTS0Bp2aZqKptWju7OOsxahYOAPEQFU9g5OhuRBhd+OuHF0j8tXL3J7dJsrmxFrxT4f2+ziyy7TY0V/7RzHp7/C/kjy2XsLkp1LTK3HtAi5/tIr3L19jHFQNGekax5+EOHiCBsF9MMBFoP0FFJaGl3QkgnGNCRpgKVBkdJUgrpcVh+zLAN8nJHUlUbGU6SvCMI2vjcAF1KVS7OqRBnwHE3jIYXit0a8V6xY8YfNSkSuWLFixdcRQoi/zDLr8SWWAvL4d7jsNeA9wGPAb5tPfDhHeZmlEc+tr1ozfLjmN75qzTbLVtb7/1/zkL+H94/vh0gJWbYgCRKMbcjKOf5cEYiAftAjCHxs7michcYhrCAMEpwTCCEwxgEOhENZgVSK2PNRRiNNhTUOp72lIDQV2uRUuqAoS4xzKN/H2mVWngoUDgiCAFt7lE1FrRucELT7G9y+f4zzckx5SNruc2mrTz0fUeg5kddi68KA+UgzGo2Jwi6JAGkMIvFRwsM6TaACTG0QKHxfYgAv8B/GLWgiP6Hb72EKS24tZVEhdEMYRyzyjLCV4oxFOodwljiOMcqjLAouX77M3p27nJycoIRk59x5KiSHZycIJUh8j4vnL3DGfW7fvcW2Osdub5eD/Qd86Fue41c/+xnWQoXzSkIki0VG3mrTCE0nbrMWJRT3jrl9/QbGal544QU+/blf5XKYElnLJM9RaYwQBpMnVFnI+d0eQSvk2p1rhP2Kq0+vIUVKs1CE7Rg/zXGixRPP7GL9MY1ZsLt1gcPxnEfe9Qx/7X/9KTZTn4uPDdg3MciSu7df4ZlntuhGA66//DKD3YSjm8fEUYKuCy5s79LLExwepzRURuOwmKainlrafkKmHbOzMU+cexRjHAs7J5I+s8WMrpfSOEegPKIgQpAzHLQ5Od3n/M4uoR/8v+y9abCl+V3f9/kvz3r2e+7W3bf32UejkWY0WsBIBIMFSqAU462UYFdRRXDKdkI5EKriQPIilRepciUBJ44TV8CYMmCDAAsCGJAQM9ZII41mNJqtZ3p677vfs59n/S958fQMhAqvcCY19vlUdd17us/pOufWee55vs/v9/1+McLw6tU3ODo5Zjgc8tADD9PqdphOp9R1jbaeYdqjWBZEUYwTglevv8Xa5pC6rHG2Jk1Tolab8XiKbgmUC4jaCVleErfbLOY5/eEaPh+DMzhnUEqitMdi2Riuk5UL4mGHigWPnXuI0uf0+30ODo7wPmdaT1C+Q+DXefPLb5Jnr6KCId/52KPkWvLS7auUxxbpPFopppMpMmr6I733BEFAp9NChQEOS5KEzepuoHDOEkYSa2t0GGCrGusEQgDCoJSnNjXWWnSgkCpsvMxK3zt2HcY0HZU6UHjv0ToBsRpFrljxbrISkStWrFjx7whCiB+n8UG+CHyX9/74T7nr54H/CPhu4Bf+xL99HEiBP/xjyaxvP+Zb7z3mT9Z4fM8fu8+fEQFeY2pDGCaUZdMlV6qMcpyTZRl+8zKDtE+61mXQb8OyqU2osiVSB1gHVlQIIZG1QXsIKoeUEmkM1s8bEWkVlTUIJahdznw5oaxKKl/jsURRQFaUlEVF2h0SRY0HMyGhrCtGkzFpa8jTL77F4ANb7AwvIaoSlc2R0xIbaWZT2DvaYy09z/DUWXTQIdsbM5tP0VlCFEX0Wm2qeYHTAq0lgdQopalMDUIRJxG2tshYUTlDolO662FT/H40wdUVo8kuSZLSbnUJhKDUJbZqBMliPGV9fZ2qKNi7u0tnNmY8XxD0evQ3NpFCYVxNdz3lvvYlZospLz3/Vb71g0/wf/zU/8z7nvow+fGcXldzOd2g+6EdFlnOrf19luMJfrzgyYuP8vJbV/GBodtuI1ptkm4PkxdMy5yN0DLcjJB+wGMXH2Navcmru9f59k9dIt5WRC3N6NoGP/MPnuY/+cmPouKK0iaYaIYQB2yu93jpuSM2Lpzmi1/+DT76Sbh47hQnfI1SnNBRWzxw4QL/7HOv8AN/ZZOJ3GLY8RxMDimrK5weDJgezJEbMePJmJPK0ep3EYFmNDkkYIOonWIpSTsJQRpz6/o1nHOkawOqhaDCIaREIhDGkS/vEqkhW6dOY13Ozd19vIAHH3mcnQcv4r1nbnKO745ZLpdorRnKkDAJKIylFp5KebYuXiKe5sgg4SQfkRVLRL/N2voGthWjtUbFGuUtla/ppesIr1FqhvAQJglKewgthbPMjgviVszJ/gFbFwYgcibjY9ZOnyFOFMv5HrPpMcpXLMZ30a2C46uHdNWUO3deQoQQlwkP9c7xKy9Pm+5T7/DK4lxT1YGvkKGkFcYIASoSqFCgQ4FUFR4wVqCJiWIJ0jOdz8mLGZ4KT00YaVppG68E3gmkSO4d+w7vBVprhPUICVoHKw25YsW7jPz/+wmsWLFixYr/7xFC/ASNgHyeZgL5pwlIgF8GjoG/JoT40B/7P2Lgv7t38x/+icf8DFACf1sIceGPPWYA/Ff3bv5vf4aXAICUijBIUDLC1KBVDF6D1DjvWVYFe6MDTpYz6lAQD7vsXLyP85cfYG17GycFJTVWgJOC2jvquqYoChazOcV8iSkENvd4K8ArpAgQMsK6EOOaAB4pNLVpfJlCCOq6pqoqAKxzGOfI64qDhSXdvMTP/dofcuvYMl42U9Fuu43IUo5vZ4R1gsjB5UvsYkySJJw9fQblwRQli5MZsQwxlSVfFmRZxnw6pSpqcIK6NORlwaLM8VoStEMKX0AkGW5tk3Z79AdrnBwekc8X2Lx+5/kKIeh0OsRxTLvd5sEHH0QVS7o4Tq6+wc2Xnmfv+lVckRMlGmNzolDxwKWLHN++wwOnz6Gsx2clf/i536YaL7h98za/841nOKxyDqqK3vYZXnvzGmuDdRId0o4T+q0ei9pybTbFpAlBHLC9s4YMbrNxusBExzz04Q5FOuOoOmHkp3zlua/Tis8gpEOFlllRUumSkHXq+Sad4H1ov8HDHzjP+UcUvjslWjPUFnrpRQath0kV/O5vvET3TA/fKrn0ODz+4R0uXzjFeqtL7Ct0VdAPI9w8Y7S3x59/8luwUYKNIjJgdz7lpWtvUAaCH//v/xvuHh/jhMJ6AAkWqrxk59QOcZhQLA14zfrGaR57/4dphxGL0ZjR7h4nt+8yPThElTXzgyMqJSAMCHVI4CUXh6ewJwuWkwWL8ZQ0Tmj3uqxvb1HUhuky42Sx4NbuHkfHYxbznOPDE0aHI6rMM5uWzMcF81nNZFwyH1WUy4DRUcXW5mWKXDOfW1rtTZZZxWg8J+6k6Agqv2CwHnH6XI/v+tSnyZ1CtTaR3dOcfuSjXJ9IbF1jygpcM4F070wiBVqD1gqvPCqQRJEijDRKgzHNe895g/MVRTlHSI/3FqWaXsg0aROGMaHuoGSKs4qqspRl8/713qMjQZSEqECi1GousmLFu4nwfhWJvGLFihX/NiOE+BvAzwIW+Gn+3xNUb3jvf/aPPebTNGKyAH4RGAHfR1Pl8cvAX/F/4gNECPF3gJ+i8UT+ElABfwnYAf6+9/5H/4yv4/mNna0n/vKPfAaPRQhBUWQURUFZz1BKoVUIXuOdY3NjizNnznJp4wGCUFHnGbaqmU/G1HUFziE8lFmO8FAslnjrKE2I9I4wkEitEIFmYS15UTHTxzipqH1NXVdobQm0QIgEU9U4X2FtjXUVURQRBD022y22XMlrz/02f+szf5HuwW2GSnN4s4edOYrDim7UYnp0RKsd0+mfpdMfkNcGgcJWDmkFo9mCKIqIWyk6iFguc7q9AcYYRKCRUuJts2JbVVUjaheSNIoJVQjWcevGbUxp6G116aQtojBkcnTS+DmLguV8QZDNmRwfooTn5uFdxt5QKgkpDNfXSNOUdrvxZ969e5dbB3vc9/6HaJ8a8vQX/oCDyQjRGrC3nHBpuMN22mUrTCiyJYU25LbGRykv7N8mHq7hDvb5nke2qd0Rvfsz1ta7+EFF3SmJOjEqDdjdO+Dk9ZSt+CE27z+i6h7ikhZ4SzJ+gF/9uWc5e/4hHv1EHzF8BZvllNMBZ85t8co3X+bC8GP87E8/S6vS/IXv+G6yB56lkwjW3AYb8UP8zj97ka3BWcrbd9ndnbAI16jaXU6d2+GVLz/Lw6cvcWv3LjYNyUQzJSyqkjiOGS5K2qVnGLYoy5J+mNDXMdgu1jseePBR+r0Bs0XBfJnRl57Dw0OUkLSimEBpWnGCd47+4/djy4q2jhCVwZd1895MPWEcEHXbhGlIraHX7zMq5/cSXpv10EArhBBkWUbcbeONw9YGFQoyt0AEHikchBZ6FYVa0D0bErYFB8t9wgiSeMky26OdtqDSFIXB+Af4wtPfJFg7R6YjvvraiJde3+Pk+qs4F0Mc45OSeKhQUUwcKqRUVMYRpxFJGpJ2NN5bpCyw1hPFLbwIUDKiqh3Tw2OybA7CvLO2bmpPXnqstSgVIghwDrxrZiDtToRSik6nxxd/+Rlmx/Ov/2nBXCtWrPg3y+qyzYoVK1b828/Fe18V8CN/yn2+SCM0AfDe/5oQ4hPA3wO+H4iBq8DfBX7qTwrIe4/5aSHEDeBHafonJU14z3/tvf8n/yZeiPceITRRmNw7IZWEYYwrOwit8N5SmZK6rjkeHVOYsul/7PVpRTHeOtKNLgpBvphQVVUjwjxUscUZQy49AkeFQclmfbaWGiJPK25hEBRLh/EerEUKgRLNOmxtHF6Aw2O9ozaGAoleO8Pg8pP8+P/wj/jHP/afs5hP8T3QOuFs7xyTOyek7T7L+QxXHVBkc4bbp0FAeW9l7/ypM+R5zmQ8J0o93SRlOZ4SxzHGSLy3CN2s+Wnd+MhohpU40ZhYLz/8MPu7e8xmxxTLjC8/+yzf/q3fhhCCOI4pshyddGl3Ko7v3qCXxMyzKU5LqirjcHcJXpIVOcPNDdbX1znjMu7cuMpr33iGRx5+nE998K/xT3/p1/m+7/ou9q/fIE0Tru/dpp+mPHTpEtubm/z+F75AKCRv7t7hUtLGIzk8PqL9WIeNS2e4u7yG1QaVAN4inEV2Z7SGLxEmfUqnybM5yse0leCppz7I733+BYYPr7Heg+2t93N3BJ/9xa/z7d95ikgv+b6/fJm9KxMK/RbGLMCt8/KrU774m7/KJ7/lI3ztG1/irOoStEMmkwW63eaLX3mGh86c4vBgn3Yn5e54RH97m6OTEeudNabTKaGSREpi6po0SWjFLap5TrsfsLGxwe7eNW7eqgFJEATUKsUIS12VbG4MWR+s0YqatdQir5hOp0yEIIhCoihqPJDrESiBCDSZLUlaKQfTQ3RisQ5MblHCU2WGONQMWi2mZkyARgWglCeNLaWtkLFDhIKFnRL1NJVs/J9rGxsgSqpyQdpuIbwgiCN0mKA37ufVX/8qa+vbHIwX/OHzV5iPKuoyQwcBoRIEYdAEQXlPacrmeWtNqx2jAnDCIZTD1hbnZHOxxyvCOKKqc7RsIYWhKBdIKTEV1JWndr5ZX1UB3gukkE29jlIEgUdKSVUViFU864oV7yqrSeSKFStWrHhPIIR4fnh684nv/zv/MTqQOGeRsgnbienivEUoB9pSVEvm2ZQoCliUM7TUhCJi0Ftja30bicAs5hR1xXK5bFbr7sW2jrIp0llCUWPqEoFC6BZSaowKESoiM4Y8n9NKIQg8yrfIsgwnaqSEyhSEYUjYXqeeF5xdOwX1EjE/4vXP/XNapeGHf/hTnO0/gLkRk1ZtuqLD7GSMWh5x4/YdVKtDXlt2zl4kjlOGwZDxZNYIi3aXylhu3bpFHCWk66cIwxDrDQAW2wSPFBKtQ4IwZj6fA5IoiqjmY+Ig5PjoiDdeeY33PfIos8mEuqzwRjDdvYUsTlCR5PrsmKNiThxriroCrSiqmsHGOllR0o0dc+34yGe+n1dev8np3hkmI8P+wQlrrYjf+9efJ0g1kXTc11vDTRfkyylX04BbgeJ9ww3My8/w1Mcu4u8PMbLg/g9tsD97hY2NFvl8TjtJqQJPYMeYuSSny1JO2Fq7n7SK+Pn/9WW+99MfYKyv4HuKxeFpnvvNG3zkWy/z+EdBcEyVWV5/YQQOLj5+lqM9wWd/9haxW+PRB3eIwgXLa8dkmeb1g5pl2KK70ec7PvIkN//lM6hAM68Nrf4G2bIkUDFlWRKbCQMf4KuKKIzpJS0iA6Wqm5/1comtK0KlCaTgwsPfTpqmCOvoRAnzyZREh+A9F6IW8VqPpfb4doTvtyDUIGu0lohAM1/OCKKAyhqcPUIpRSgbH6ZWAkxNHMccmhHCS5IoJoglLrAYYciYIyLYun8TsRFh5IxK1ggZ42xOVe8RBxWz6RRvAjQh16pzXDlMeXFXMDo65kuf/Sw6LzlJJIHu0u4P6PQVumVQQUQYN+IubXVQgcT5Gi9rpPJIZxFodNBBKI01AuMsk92MLF+Q58vmeCcAFCIAKSVxlNz7PaCI40Z0V26OUgHtdpcv/MLTTI+mq0nkihXvEisRuWLFihUr3hMIIZ5fP7P9xF/9uz+M9xZrTRMYApi6wDn3zkTt7ZRIIQSlmVOXFaYucc4QqGZaUtcl1hmE8Ejl0FphbMVssUAJj/MVwnu8aU5ogyBCh0O894RxikeiAo33UDmLsI7AC3AeFWisAB3kSA+x1Fw+e5FAhMzGOc8991V2X3iWvnC8r9/mb/7AZ1hvdzg6PCZR62xvnyLqbfDq579ENDKIccl8vkRKTZL0SNtDOu0hxkgGgyGj5TGTyQwpQsIwJk1aBEGEL/J7q4Aa7xsvJ0CZNOu3ZpkxOjrkd37nd3jyqScYbqyTT6f0hl3G8yNyU3E4GpMXFWv3bxGGMdeuXeVg7zZPPfUIgTZ8+fWv8cj7PsDaxgXqIuDOjds88/k/4L6Ll9g9uc3g1DneuH4bXxU8sp1ip0d0wg56o89boyNMkbHeVayf6jMZ3eGh9z3MRNSU3QXnH+lAfIM4tcTJBqO8Yti6n9//jed46uMfQK55KG+Ba2HKmmU2oRNu88KXD5GzbV548zo/9BOPM7Wvkc0qeiahpbpkaspmeJbdF8YoE3JwcEBlLCfPwKgOuJa3qYXjE49f4uStt+joARNrGClNNx3SkSGj0Yik3SI9OUBLxeb6Ggd7h9x37hI3bl6jHQ1IozYXzz9AohNcURJIAWVOEoSkPqAVdWgN+wSDLgaB7oVEsSKKNcJ5jo9PWMwzypNdwjhABh5LBcogtCCKA5bLJaZasnNqSJEvkMJS1xVhEmO0p3d6gA89Swo6az0mYk5nkFCnNSSOYKNN0Eo4rjbQogJzgK2mxFGb+VKzzGq+tNtl72TOq2/cZbw/4fiNO4RGMO2HxElIt58iQ0+UCoS0BHHQiNtI4VwFwt5b864JwhDQ5EsoC3Amoq4cdQVFUeC9bx4bhs33oW2SWrUmiiK01u/cB10jpaTVavG7//SLTA5nKxG5YsW7xEpErlixYsWK9wSNJ/L0E5/5sf+U5rPLEQSNKKpNjjGmWU29F9MopURKiSPH2qZEXtCEepiyojALqqqiNgVCeMKoWYddZnOcM+BqvGt8iZGO0SpER2sIpXFeoWSEDkOcA2mX4DyB0CAUOk6wAgI9b9b78oqtzR22Ny+ACblze5/f+5mfYhgILrU9l7YHPPXYA3S6LeLlBd66dotAJTx07kF24m3MKENUS7z3nJxMmRzPSZIWcdQiSRIS3aKVdijLpgbk5HhCEAR45RqvqA7QKqQoKpRSzPOMOAypswJjHAbPl772HK1uh5M1RV0uQdQESrK+vk4UJZw6vc4rb17BjEZ8x/sf5+U3vgZnW7z2yuvMpgtORkuOJlMuDS/QUorjwyNUP+HadEmRtjl/9gyzN1/lbD9loy7JIk0RO3qJQrpj0p5g69xDvPbGFXrDDteOTvirP/QhJryJCwra6+eYTy17rxhe/eotJhI+/UMfRelXyWYWKUPSRNNNNzjcteSHjq3zA2z/gJPprUY83gRVx1x8cBtjc6bjQ8ppzsntEldA/rxgf55wUG8yLzJ0PqYvJP7UDqOiZIYgyiR9ndKNY8bzMffLkKTVoawcg8Eas6MZl89fYjjskUQpx3dP0EYgqpJ2HDHs9UmDiOnBiI21dbbO7aA6bQpTEZzqk80mHN25jily1tI2gQwp/AzjaoJAUtRLhlt9wFEXJYPT27jFFGOWzGYTQi1ot1P2xweUooI21NoQroWsb29S9zJULKmiAp8qXCsiTGOidECRLZGBZzSrafXO8bVvHnDlyk3E5pO89dYN7l7fZTGdsRgdESiFXOvT7iSEEc37JQGlPT7uIITAYwBDUWZUVdlMU2UAPmS5MBS5ZbkwhEFTv+O9f+e4jaKoOe6VQWv9zt8rpZpqHaVAN2JSCMEXfuFpJoeTlYhcseJdYuWJXLFixYoV7xmEoFnT1BqtI6IoalIhS4EXBi/MOxNJpTVKKbK8QsqAUCu8NYRBgg0tQR1RFBllFeJ8jakrQBKEKXVdUhmD8AIpwQuBxQnJ33AAACAASURBVDfVBXi0CvGA1DHSKwC89DgdgBQsrccLKFSbusrQ0jM6uo2cTbg8vMAlbfiBp76NS9un2ApCNrtttLdsdNeoRMSph84wnRSc7V/g9mu3GbaHWK/odrtsRltsbFqkg7osUUqxmJcs8hFKRZRFhdABuTGkQUBdG/Z2D1FKEUUJnU6PzThiPJ5A7ciXJWm/x8ee/ChWSF688hIXdi5y5aWvcWZjyPTqG+i0w1vxFb4xvsGT3/st/OrX/xV3X/gaf+NHf5jf/40v4Jzj4csPEL/+BsPYkx8fc/9Gn72yJAolN/IZo9sVm1HK3bmhnSbYOKHUOcmwTahzkm6B2LGs6xhXjfjwQwmLfJftRy7w8huvMtrfJzAdDq4dMd6F9/+FLdY3hty8Y5EywtcRPuxwa3dE0k7ZHHh2D19E1I7Q99Bik/GNGb/x2X3uOz/i+3/o40zECa2tPr0qIMr68CFP8daSVF3ilVevsL59kaD0HLVibp8cU9XwWH+HTRESG0saRJxai7l9coRM19mfj7l8/gLTxZQ7+3ts9tZJa8XW2gbt3oBsOaecFVS+INABR6MT7hwd0F1fR2pF56SPdQX5fMzGeg/jSuJIEaM5Phlz9c1bWFdy5dUKay1VlrOzc5rh+oD5fEK31+bu5JiqqrjwyDk2t8+QqQXpMGHu5wgh6LW6LMuMtbVtMiq06uGMYry/4AtPP80DTz7Fc1d3uXX8Bt2dh1EXHqSbdjj48hHlNEeT0N6+DImm0zakaUySaso6Q2oLCixNf2NZGRaLJvTKGpr+UqEBi7MaU3viKEVKTRCod5JZ3544OucIYnFvmq7eEZLWNn5of2+yHkXRyhG5YsW7zEpErlixYsWK9wwCCEN1b2IBzhms9e90xwkUAoGSCu+gMgapIqwxVNYSBCHG1igVEGtFFHcoiiXOG7J8hnOGytR4G0KoqKoFUiicD0jCFBGmWOuoraPT7eKdxgmBDfpNsI20OGdRskIDReUIpKIrBdH0GHPnJo9vnWH9zJBO9Al84ciPSvrLLvmkYHK9Ym4PqCqDFDEnc0VSCXRlyUrJnckJ6/0BkU5AeKQKcd4TDRJAomRAUHuMcQRBhFtMkSrgzNlzOOe4fu0my6yAQQdkc9odKc1yPGVZVugg4KHNHRbHJ1zorhGVFoHEjibENqMb1nzuS/+KT3zbR+gt9/ncz/0ikUo5nhyye+cWm5vrFIuMsiyZTCasb50ity2m+ZLSWERtCYKEf+/Tf4lf+L9+nbduHxB1EnY22/g4QA1LzqwPsSYgSMCkjhu3DxmsnWP36Drvf+KDHL854YlexKlLHe7uvwL0kD7k5Rdv8OjDpzh97gKT4i6FmxC32ly5OuLJ920RmzUm82N+7L/8NIe7d5ksD8n0hEVpyUdwpqupZMoLV24wmu6hdMpyOmNneJaTg2O0g8xMWRcXaC1LWoGgqg0Hx2+xc/lBnnvtBhfOXebu/hsMwpTt4SZBbUlFwPTgmEIIzuxsky8KdKARHoYbQ+bZEqUF/WGfrpeMi4xBOyZqBYyKGV998evMd/cIwxAtabpCtSRbLoiDCFMaXnnpFYQWBPsKKQWLxYJxlbG2tUbYC7DXDSIR6Fgjb2lqV2PjI24f7PHazVugA9IPfS8y/la+cq3DjVzRuryFX+vz1W+8yJ+/UPIdH3+Qp3/z69S1pko71IFmc8s34VHOIOMYIyyVrQi8oygKqrpACEVdW6qqqeXwDoTweOdJ0xQpguaiUPBHrXNSgg4kUmqQBikbAfn2cQ8CpSTIZrW1LAtWRZErVry7rETkihUrVqx47yA8OrQoqXHOYKzBGn/Pm9ikpQp/b43VObwHfNT0zQWN+KyrZVNertJ3ph5BoGi1hiAcVSFwvsbZnPHkkLoqCGSA1hGVVSgVoMMY0Hgh8c5hbYCSAu2W6HpOmB8SuZKOcJzZ2eT0esr56CE2XZf5S/tsDCRVpnC1puVbUAQM0hTdVkxd1JSxVA5XO6wwmOURAS3aaYR0Jc4a3D2R7JyjRjdhLTIgDBXL0Zy7B3eIlafdbpPGCYEKuO+xRwnDkKIqGO8dcLh7l/W4TZ1nqKpmmWVkSYC1S7xbsvQ1S2YYadiQjovWEnS6HCwP2G97zi9T2kGHMAzpDTtMp1PiTpvAxcymS8zxhM3hABl49idHDLpdIqX47d//LQ5HJxg0WS549eW7DLfhifs8tbQkp2MOphPSYo3Xn93lY0/+OWI35fbhXbqPSlIi0m7Bwoypl22MKTm3fj9H1y1f/srTfPqvf4zD/RmolPWNOdvnNvG55Nz7E14+/D02twyilZDW0O4MMA94pJ1zcHXER546y4vPH7K53qPOSvLZARutPrKsONU5g87mrLfbdBPF0WSCaUW8cv0KuVQcTU+IJjMuXrhEVE5YHs0ZpqfoRQOCMOHGm9dZH6xBZGh1UpJOADoAoJgfEbckd/Zf54UrL9JdX0OkEc4L1te6VFVFEsWU+RJbGNpxwnyRs7u7hxPQjttU1lGVNXkF1VxS1jlH37hJp9NqOk6dQ7dj4jTAxZ7t8+eZZLAsCtY+/xxeSZJTfdp+yqVHd6jeGnHfyR797g6oFo9+/wNcvX3Am3dvUyMwmaMTJ5zkJWUtybzCSUVeFgA4+0d/vGsm9ko1yaoASiq0lmgtUSr4f3iZ67oiDEPyvJlkvt3D+vZqq9ZN4JCUEh1ovHfv9m+jFSv+nWYlIlesWLFixXsGIRrPlQBwrplMKIlxFo8H4VBKopRECIVzitooAiXQslmLS9MWxhiUjJAKrFX3TmbDJu0VhRIeqWqiKCFfLgCJ9EDdnOAKAmrjsb4Rcam0aGXR9RJfHPJtD29x3/aA/vQAGUim82MeOHUaTjRhsk1xArLfovYOY2vSWOPcElPlqLhHnRUkcYAhZzoZMRwOkeWCRDuMzzFGg5TErQgpQ5YZFNMM55YoGdFLWsSbASJsfGaLrEApw8nxiNOnT7M3m9Hu99ncsey98jqJEFBVBM4TVSWIGhV5yrKirEpsWXJXFYRFTv3SXaKtx5kLTx4G6LKZKOV1RWkNVSXottcwIkKXGWJR0iorzkctyjxHh4rF5IiLZ7fZ8nBy9w4P7LS5dG6Ins4I2orDvRGDnQssdi3+OOHms8dsfXyHopyQbidQWIp6TpYtUSLi8sVLXJvmPP/N13nwyctcfesNnFsShpp2r8WN268TSkGmDzn9YI/lqGZyZ0kUbNJVO2ysdTg4vMt6a5+432Fya8pydpdUaLa3h6x/4M/xyuuvcby7jzCOyhfcOh7RWWuT1xahNd4IDo7GPLG2yam1TSZ37tAJBNV0SpVqam3YHG6QxIpWp03YihiPT+h02mT5gsO9XX79zWcZDDrIwDE5PuDUqbPMJjOOKNFac3J8SBJGmKJqAmaUwjiJ9Q5ZlKhAE4QReV1TVwIlNDYPMCokUCnee9o+QhvFYjzlqNynIyM6cZszkQYpGO3nnOu1mH/lLZI44/HT6ywn+7g4ppYzHtlp87771zHOkdltrt++w/Ov36H2AkRE7QS1bVbJpWgEHwiEkM2xI8J3fIxVVVHVFcZKAp3gnGsuitSNOFwsHKVZAGCMQcqmJkVr3XwNmzVXY+Q76corVqx4d1gF66xYsWLFivcEQojnt86ffuIH/9v/7N6JZsnbn2HOq3uTR0EYJPfW3sImZMf5dyo8giC4dyIrmgnmvQmHEPLeCSx4qibAA4Wpc6oqI45BBwJRB9S2onKWvDBkFXihMWJJn4wPbRTsRAta+VU2+4oo3iHQEZSKwIXEKqJcFEgk0biFKyN83gaZIHRCXhasaYVQiiwrKBc5PrOIylPNS4SSRGkLGaVEcYKTAZWpkTrCOYd0GucA17zGoJZU1lDWhjhtk1clWgdYUzObzLClIBbNbUWFrSpu7e5zMh8jqgNCsaDCcpRVuMQiIkH39IA3rr3FYP0sDz34fp559cugJIPBFscHE1o6ZXTjiM21IXFYMp4cIaUnjDRZaUiSFpvnIrRWOF+wf3iTzoZi++yAK6ObXHhoSLRhKDEMu+d44/kRrWCNhz7e49heAR9ixz0ODw+J1ita5zepqxm+iLn26px+a4vtMzHtDYM8bHP4nOAouMHj33ORO7ffpBessaxPsGbCdnmJb/7uCZcvP8VvPft7fOe/fwmvl1Q3Fhx93XB0sM1xS/PcPGNnbciH1rcRN25xcXOIr3P2D3bpbEfohSWKu1zZ2yfa2MQYx8a04gOblwju5PQGQ0wrxIeCfqeP1CGjxYzrd24wX4wItAFnsaLx+4VaU5saRSO8Ip2AFNQYdBJipENqhTdBUyNiSoxvgqWipPEJd+IOKN8E3QiHCpvjQOHxwqJCR20t6AR8gKYJpQqTgFqWdActxvM9zl7YwX9wgUoivIZ2NwFvSCKFjWusaVOJNb72xlX++b/+GnmwRuHaeO+J7k1ZRXP8AqBkE5hz71IQ1lqEVhSFRgpNVdnmIk3lyLKCOppiK0ssNb5yJElCECVIre51aQboAH7/F55hdrxcBeusWPEusZpErlixYsWK9w5eYI3A3ROJ76y/IZBS4Z3AORCimYQoGSDuXSt1zuGdp7np3/FYvT0VuXcvnJAgBN5LdJBgHSgNSkmsAOEEobcQBKjSUlaOUHWQIuTqwS2qjuep0zs4OSVKDGkcIbVE5QpVS/qtDQ53D1ClIjIKKo8vc2xVEEjBoa0oy5IwiAlUiDMOjcR7hakc1ld0ww6zWUba7hEHKXmxII5ThFKUeYWSEXle4FyM94pAa0ajMUpr5vUCUxiiKEEHovEwFktMucCYil4HRNBictgmClKOR/vo9oDlfJdUtrALh1sY4mHFN7/6BbrtPtZCNc3opB1wks72Op31LZ5941nO9rq0y4p6ntFPO5iq5uBoRBjB5naXMxfXOZztsrb1KLeeucmZzR6DUxIdnyCSGdv3WaSfcjwb43qG/ZsLwqzF5397wnd/+kHmozlxGpCkmic+eh/f/MbL6M4W3eEF/uXnniE5aqE2l4ynAZUdI1uebpqwPuySv+H4Wz/yg/zkT/5PtPuwGB+wNmyhgxaDruRkzyNLx06rjZzNuXU45gOnzuCk4M7xEV4rsqmjHbZ47eiQp/7ip/j67jX66xsc797kC3du8+ipTcZklNkUFp7y1lWMtRQOwjSiUgLjHc5ZPA5P856USqFkIyJL37xndRwxyzKiNKI2NTavMKYC6YlbCUkaIt4OnonA43DSoyNNGAaooFkDV9oThNCNA7xrVrQ7w+YYUa2IoK3YH93ho594krgVsRyOEaHEaktRFUjhEZLmgo0KaEWCj33wPkza4ud/9WnS9S2MMeDA+iboyt+7eAMZQii8EIAE4RHSk8TxvdVXh3cGpTxRKBBe4IRCWoF1AmcFtXMIp/BljTGGIBDgV57IFSveTVYicsWKFStWvGfw3mMr0/gStcY7gcfjmrSN5iTVN99rqVFKvzOFhKZv7o98Vx7nXJPsKATW1TgnMMojfYD3EleBF5bKgPeKgqZrMdSGdgg6aRIkXRAznS85sZLZ7IBeZ0a/OqRz8gLaB3TlgGjRoe3XyPcc/e4a1+YVona0pCaflVT1vdCRElSgyalIA4HPLakOKfImkbLIS2azfQb9IeP5CKEC4lCSLZZoFaPDhLr0dOM1atOIkLzKGa5tUNYFYRgSd1ssFkuKoiTLMuaLMWU5R2LY6CbYumBj8xydVoLYaHHsD3BvZNSzivF4yjDahCl0fIKZOSpnKZWjCGoWxiKiiFde+gqT1CFmUx4NUjqtDuMqw8URXiZ4X3P38A7bO0OsbvHzn32W7/2WT3Lj9it8y/d8gJePf5dZNSba1tjSE7TWOM4XpO0h3XjIj/8Xn+Rf/Pqv8MipFiYryOKck+lbnLrQJem2eOH1V3ns4xfQC0W2mCPLmH48YDBYx9iM2WxCb22Df/yL/yMf/Pg5fOoR1THHx2MmtwXdzkWO6wPSwTZr+0f0kxaDOGE2OmG/ztl64DxXrl1FLFNOdfpclYeE9ZjkY/exOz5Gdnu8uXeVo2WGnDvahLSsQrkCqQNy54htiyjUSKtx3tNOY7yx5IKmyuLeCmghBUpIlPC01wd45wiUQqcCpQRegI6ahFOkIIoCCl+idYLQCh2EhGEIUlDi8N7ghAGlCCNQAmo7JYgjvDR0ttYxvR4zNWJaO3quTZkVRIMA3QpANJ5Ei8K7GmUO0XXJd37gEX7rl/6A3LfAlDgBxluMAHPvao72HjB/NJ10vvFDVidY69nc3CLPyiZcqq2h7GKtBSvISo+ME3IhsR5s0fgmrbG41WbdihXvKisRuWLFihUr3jMIQMp7Pisv8R6kDN6p/fij9VSBlBIhGi/V236ptwM93D0/5dvrrc4bgkDhPXgHYaQol43oDEONrSuc8ARBAq4mEI5Ea3xdEUcJKpFUJTj61C7n+tERn3j4IdYCjTAevZRQa3ZvH7CVnue1N65xaec7CMMAZzWdMy0WtUfHLdYq807nJbWlt5FQLTJaYUKe54RBymyxZLlYEAYxCsvh3SntdhePIW0LiqpmMp4Td+J3fnbLSY7HApCXS/CSOAwQ/TbdfsRiHuC8Zbw/5nB+xMaGo1x62mcLDuY3ideWFLWkJ4fcPTyiYzapKsvZc31u3b0Dacp9ly9z5c4tjrM5lpqtsMPQNUKhCgR5O0INupQLwzKfsHNqi7u3T/jkf/h9dL/5GifTK2yeCrmz+yY61YwnJae21kEYRidLgrUumcsJWhn/+z/5hyRdGA4e4+adE8p5yXRasjXYpr/zCP32K9T1nO5Wi3yRcnIzYDC8wP6NjDMXAxYLR2YWXHpkg93dA7RocXCc0w660BqwO7aEOz0Ojw/YEIL7tjZYHI2wQiACzVdefgmVRKSntti1FfHmJkfjMd19Tz0d8+azX6FXBviqEXOVBTB4amIdIKMUGaRUZU07jvE2oKgq0jhmuVzSTkOsb8JnZBgQxyHCOKIoRHrXeHS9IQxDwjigdpYg0CStGO+bqaW1njhJUEGAdwKhFc7bRniaEi8sUkiKaknba6rMkAxS9t7cw6cG6wReWIRyVDInc5B0E9qdlLquEfdqOaazE7ySTA5P2Frb5kpWY73ACo8KIpb5EhU1IrbINFprwkAivMOUBVEa8ODD5xgMBnzwg09w5coVxqMpWmt6YYtAhcwXJS+88iaVlwjjCNMW9SLDGEO320UgWbFixbvHyhO5YsWKFSveEwghnj91/swTP/gTP4J3NOusTiClxgvuJTZKvG+EkpDN51tleEdEynsTy6ZqQN5LdhRoLXG+QgiwLm+qBYzEGYepC6o6I44jAkqksLQjQSdNqIsSW9VUZkrS2WRuIuqyICp2icyIR3Ysd+/cpjw5plOHtGljxoqj3SOeqh8l0TFr/U2ioEtehyRpj0JXeO9JkghnDX6RUecFrrSEYUhdNd5NrSKCIGoEp0ip6oLOoM2yWOI1GFcjlMdbR683wNaW6WiOlgH5tMQ4j/AhxjiyLANhKIqctBvz7Mu/xic/9RG+8uyXiU/lfPKvf5Snf/UZ/oO//Tf5F//LP+LGWyPqbJvAbaIQzCZTrPWoKMYHir3JmDCJ6boIXxW0WxE20lTDHt+8dY1IdGhLONvTDHqCibnDxvk1Ns5mHM8OaZ0V2AjSaJPsKGZ6UhJvG47rCWfO91GmwFmJbrcBGM8KwlbAWq/Pr/yfV1BLyflHe1x6/xr9MyX98fv4+3/vt1nfgf5p+O5Pn2JuSiInKE5mbGxeYHcy4/DNipe/NGZ8nEAa8dijF7n19de4z/fptjtMD2f4IOLWbIzY2CBzhgwBWc6l+y+wrJcc7d6hJSRbvoPMLa6SBK02aIGuaoQOmmm2inBljaxrQlMhvaXb7lDXNb12p1ktFRKFwEUahCcOAwKpCHQT9CS0aFJKFcStGK01i2xOEATUNKFKrW6rmUDWRRMC1WkjhAIvMcaglcGYkrb3CCWRiaDSOZVcIpOSuBXgNkC2DCbJ6W50GAyHREFMLQ1axNRWMipKuuc+zGd+8CdZdi42WwP3FnSFVljnCMOQbGlptyICXSF9wcMPXeThh+6nqk6QUtLptADI87wRkXGCFAqtWqStLa7fPeDp57+BkCHLZU0YhlRVxR/+yjNMjqYrT+SKFe8Sq0nkihUrVqx4T6Gkw3mJwCBEiJYKh21GiN4jcEgJQaiREkxWA42IfFtgNl7IdtPtKATGVEjV+LxaQUBd22aNtVoQBoJWKglDT1dOkKImjjSz8XVwAu88Z9c6VEzoxn1ENyJWF0mjy1TZXdqbPTa3MsrRMQc39xhubrC1eYk7+zP84pB0vstA/9/s3WmMZel93/fvc57nOdvd76299+6Znn3hcJFE0tRiepEFgk5MRfISA6ItC7aQGI5lJ0GcgEKSF3EiB3AiB6EN2ZAdJY5iWYpER4gokxQXcRsOZ+GQ09NrVXd1bbdu3eXsz5IXt6O8zDsSA97PywIKuIU6deo857/8RlwePYVUkihMiJKQPF8gnMVTASWNKalqh7WCUEXgG6pqTrvdpvYniNBSixmy7fCqZjDokqQD8IKzwzOMs2xudnE2oJtqyrKmqQLmC8faep/xeIz3nmc/cJ4/uLtLEa7hkhM2Ll1iVizoXB3wndc+xY9//HnGJ3M++7s3eeXLr7GZvsjE5LRVRGgrnBVc6HUoypIIS5BozhZzoqDPVneTu/U+E7lAoDh4WBH6mNagYGutIo8rkihi/fwAAsX+zSkHb8159Ws5P/FXrhI0NUeHUx67tEm7P+TlN2+RILBCsX1xRKwafvzDF7nxxQV6ssPiQcFwy/Plz3+OD7zrPJl6yJUXBkzGc1Sny8HJQ4qxR6UTBqN1bvzeTdbUBjZocfdgj/3ObTbaEl8YolTR2JK03WXYW+P26ZTOxghOT9jsDTl9+y4ilgx9QjOdUSZrdOMUGUusChC+IVQBtlkufCoWNVEgCFG0Ak+iE0zjGaY9hIUwjFGPKudeLOcKhQGlIAwkwoOMkuU17iym8VRlgdLL7wt1G6WD5RIdLYlChZABTVUv81QDDUKCUwRKsajmCGGpFzXtkSJJ2wy3RySpRm2lhD0o4ykqhso6ajyVX1AVFb2NJ9neWuff+ev/Me0LT3J8XPzR35nWmipftlEvzibEaY98McE2p7zn3U9w7UqX6ekN+r0heT7HxcutrepRtTSv51RFzc76FTpdwTW9zdlixuvf+jZJ2lsuEeq2vxe3opWV72urSuTKysrKyjuCEOLlrYvnX/qZX/y7GLFc7a9qUEKBzvBeoGSC94IggEBahPCUj1o4TcOyctdYpNQEWZ8wAm/P8KYg8DW9TptemFFWOe2ORMcVSlsOju4wm58SKzDGUWQOGcQIYrSOaA9irPXs7t4nTVM21jfp9XrM9w9BGOJEMl9McDYgCtvUlcNmY7xv2L95C2YVxy8f88LlK1wdjxj1N7m88ySb/U2O795He0+cDyhsSZ7kmG5OPBCMpw9IIkn/6Q3aSQfVhMxOMnwZLDd7lkO8F5gKqsIQOE0gNKYolouHlKaslxtTF4sF48kpL/7pJ0Dc5rT4Kv/6X3+eD734NKN4h9NLGRfOx7z2xmfor0F34wL99cf55K9PONo7JjiOcAeOv/yxn+Lf/KtfI5COWa7IywIZK9CecXFI2kvJFhF9qVE2I1lTbF5PODt5QO86DNYTDnOP7qQ8fvVpvvR/vYkpNc//8BXUaMbtgzd57MJ1fueTt3jP9Y+w9p6G+8evsnZ+TqAq0nCTV758j6tPPss8f0DSneBqgStanBs8ycnJGVmwy4WdhJG6xr23Gu7s7XLx8Zj7nx9z8y1DMYf3vfgYh9+6zcXhZe4fjonDiGE6YPf+IUZKFqGitJZzvQ7j8RiBJm53MSrhyWefQzSS45NDQqW4/e232EyHyFqAmCCcJ00VsZTgBEmYEumYpO4QKY1CoAKJ9Mu5QUNFGIYEUtJYgw+WS2SE5FHup0GFEdZapNLLFlN5QhIN6A/OUdYNSjcoLUCFEHhQlkU+Y22z82goctn63epqWuuKIG3I9SkyChDbEApLQoUzFTpZtto+1A21avHp13b54iu3OTjyVGVAIzR1XeMcFEVFv9/HOcfx0ZjNrYTtnSEf+uALOFfiTE4cRtSlxeFRWqPjhMoarHX0ExAiQEpJmrTROlr+zGXNpz5zjzAa0ZiET/3zf8Xk8GRViVxZ+S6Rn/jEJ77Xn2FlZWVlZeX/1y/+4i/+XLvf3X73j3wQJwQgCJBIERDIALxEyZhAyEeHSAiCZZSH8ALhJFi/PHQ6T1MukEFBHNYEoqAVQ13OUDIjSSS1mbNYjDmbHvFg/x69XhdjGoqioiwbpArJiwoRCCazE7z3bG9vcnBwQNM0jE/H6ADm2ZzGVnjhKKuGsjI01iyrpzoACdY6YiWYLmacxQ17Jw/whzPygwlKx+yenWJnEybZMXVcc+rP8BE89QMvMtjeoqk9xdRQnDmEiQhMBCYCpwkChUDRaXdZzAqm0xnddhtrLXVVExDQ1A04TxLFvPXK55kvTuivtfn6l7/DnTePOT08wAxCrr30EufWYh4eHiPbPU6ygtPZjJ//a/8+X/jdP0CVCf/2c1+gr3bIZwFpB7QMMLZikU154cWnCLVgOp8QS0GkFQ/PJvhIc+7CFYSc4FyLWVERJIat7QF3bt+mrnKuvbhD1FEsyhJsi1F7A2cKgp2arBnTGSkWZUZjAgIdM5/XSO1pdyS4gCRK8b5EBBnnrqyjpMEuOnzqN18jmwccHpxx8dw67U6LjdE6xTzDN7B3/4RaRERpBxtGFA6eevF59vYPWBRzUpmwub5FmiSMj8cQBNy9e4+TkxPAM59MefH5F9AuxpuAjc4akogwiAhFDEaiXIwips4rbGOoy4qqrGhMp9cjagAAIABJREFUQ1PXWAzWOYxbLleqmpooimicxzpPnCZorYjTGB2H9Ppd2qMUKUOEiNChQigPyqOVRipJoARxEqEjhVQSqQRxpNBaUDUzrC9IWxrvDUZUpFqTLeaUdUVnNGBe1Xz55tv8/he/Ru/cdc5deo6vfOVtpO9S/79bkpHoMGCxmBPHmlY75mM/+RGeefY68/kxcawwTbVcjuWWGa9Kaay31GYZOeJNSVXVAIRhhFKaPM8xxtIebHJ6OsYjefvVGxRZ/vATn/jEJ7+nN6qVle8Tq3bWlZWVlZV3jABBJBWBB+cFodYEQUAYLBfq2MajNOA8jhpwtB5FDARaYa3FNOWyqrE+IYoFrpmBNzR1zmjUYnf/DkIIzqYnbG2ts/9wlygKmRUzbAVVZXE4ysVkuajH1ggc9/ZucPuuJ01TTsaz5VbNcDmrqHNFXZekaRtYHmy9DME1nLkS2gJxPsKtCR7U+6TrmroK6WZTtrITerrLPN0lbCVce/F5nnrhveTTGcdVTVEUJJM+3niCWoPXBD4EJ7BkWAPeeLwxrI3W0SomMAbpQEuN98sH/qZxWGtpV130iebwlZo/+a6PMT15wPHhAZM3JL/0W/+YJ951nnC0TstL9uZ3+cBTP8yv/IP/lnc9/hj3qyliLkhbFSJoqJoCR4AKNZuDbdK4zdXL17j/8Dco8pJk7RzbO89z63TCq3cPeM/lDv3NPumaoiiP2Tv8Bleei9BBhzzc5XC3Rsl13njzDuc3WwTtjHB4if3bh5QuYWPjHOPpGe1eyoPvPGR9vc18EtPSPayvOK3v0x9CXViqRc7Xf/+bHD2Abtjj0uWnOapfZef8NbJblmnjcbqF77d4OJfcm+Q0smC01ufh2zfwVc3VrYucHRzRLGbIoOb565fZvHieb7z6Glk55fL5i+zdO+XstKTXHiFFh1Gc4vsW4WoCLGmYIr2irmv0IEMFEuE8WgR468B5vFzGY4hHlchRf0DZ1PTbbZxzhEmECCxCeuJWzMnJMZGMWFvbRqiErC5xEggs3bSNE48yUyWUZYEUCisXKKnQgSeRbaQ3JEZivEYJhysNdNfIKHn16IT/9Tc+RTEMcSrFnRWkbUUYnePerROEalAqIIwtjgVKO973g+/i6aefYjobM55URKmgbOY4+Si3UiryuiIKHGVdkSQJVdMQyuUcc9M0ZFmGc4+iSKSml8z5wA9c47U3jhGsOutWVr6bVofIlZWVlZV3FOUFAoHDEylHoDyialDeEMcx1pUgGggqwCCas2XIulB4Z9hcG+BcRVndoyktZT6hbiqcaajzGB15Dg8PKaucW3eO0VojLRQFLGbLiJAggLS13KIpI8Hhgz36/QHdTp+yLEmSiDzPEZFYzh5iieIYG0BdV0gpKecL0k5KEChkApUtiLoxa/sRi7bgm60JaTfnyuGE7TPP+//MSzz/3h9kcTTHmwVaKY7f2iMOE/LTgqYypFGXqjZgKlSgWRRnxHFCXTZ00j6tSNNqdajGJ0gR4I2jLCo6rS7Sw2yRM0rX6fU3+OqrX6c3aGGKlHIseOr8E+gkorxZcu+N+/z8T/11bDzmX/73n2W+F9DpLYhkwXCYE+hdnF2wyM9jfEBrNGRhDF94+W1Gw2OcSWilCYdHZ/Q7I8Juh729XS4dLKdXRz2Nr2EyhrW1kCIruPFGhpDg3YTL17ZptwS7exNmb73NM5d2eOLKB/it3/gdRGS476b0tiFQFdWszYO9OWmqSIcSZy1RcEqn1eW9L11i9uAGYaN44+WX+eBHuty/sUdrPsLNDJPTHMIRJm5hhOf26S6+22IYR6RJAo3n/LkhSeyZnNyhlZ7x5S98m/WNmO2tx/naVz/Hf/Nff5L/6R/9Cvfv7jLqDQBHU5cEWKR3CKfQMkIJRcfq5fWGIAkjYqWRoSRQEc45AilJohCHpx2nqDjBOEtV56hY0O93KcsFGzsb1M5TVNWyyqwkgQwIwoDKVDjnEEFAr92jKhvKrKa71sdUNUVRgXckqaKxNWEcYosZuh9Tq4ZMhPyjf/YpupstTn1GO20xq87wesIP/9gP8cuv/ioEjjhRWO+5dn2D5164xmg9paiPmM6PGQy6eBqcWC7fsY0jlMt4EuMscRxTVQVlWSK0JgpjtFJkRU7VGPr9Pt6DyRf4WvOuZ57hX4jf/h7fmVZWvr+sZiJXVlZWVt4RhBAvn7t8/qWP/+2/QSQVvW6KUCWlndKLw+UDp5AYW6JDyIsJxpZU2R7tdpuqKh7FfnjKskSrGh1KrCspioKqbFAqwrBcBlLXBiklTW1RSpFlBYt5QxzHhKEiDBVFUVA31XJ+TUqSJH1U7VxW9aJYE+qYJOmQZwVFmWNtxfbOJvl+SW1rVBRQ1XNOJw/pdFOqQ4E1GVFQY8uK6xfW+fm/+nNMH2bU8xpx5Nj/ygOuDi6ji5hEpdQqwNQN3gi8k8uMTCSmeTQ75wNMbdGBpqoq6lkG1tFUDRJJJCOqoli2SE7PaGqB85pFNsX6GbP5MQOtyIqG3DUc5EfcdjcpEvj4x3+Er3z5yxTTioAu2ULiGVGbgHEGotVmP8sJ223miymtJCYpCja6bU7O9mEoeelPf4Bf/dVf50efUyRpl9wZLr3QI+5ZfOiZL0oOpgt6nZAnn7jEbLFgXjruHxzz5MUWqdzms//n2/TSNc49PqSSY0bPnlHOPPuvx8Tls/zfn/4C7//wBrq14OKFhHxR4HJJKvrc+PpDdtYuUxclJo+ZH0I2X6BVyr39MXl7jUWVESSSThLSCQKiWcYgbRGHp2yux1y5EGOqGUkr5bXX9rh1Fz72Uz/N/knDYH2dW3deZ32zzfHRd+j1etBY/viP/Clee/kNOvEGX/jCl7gWPIOzljSKEc6jRICWiqJxdLtdAiWRj6JshJI0QhBFEQ5LlGqMrdDRMhs1s8vNqJ1+j6oq6Aw6gKNp6mXEjTOUeYEOJVVegJL0ej16/Q6T7JCkH2KikkU159IP9PjDb32dz974GlMaZsEymzVXFe2WAtHhws4zXL34Qxw8yPmv/stfZms74d/9cz9ObygRssS6BbP5KVHYRWuFw1I3lnZrxPRsQRwmywga54hizdqwy2QyRgYCZz2dTofFIkcGy1gerSMSQhAtnnvuR/mZv/j3uPGdm6uZyJWV75JVJXJlZWVl5R1l0E+JrGd+8oBrj/U5mY4JbE030dy7u0eSRthCYJoZgRTEoaeuJjR1SRRpGlPTNCVNHZCKGKVCQi0wtqGqHGkcYSqDFgrhJHGSMB6PwXseu3aJxWJBnudEYUpT1xS5JWnHy+piWZLELaxpMKYhKEuy2ZxMF8hA0UoTpArZ39vDFYI0aVEUFcY7wjShaGq6O+uMbx3zeKvFu156hg9++Ic5OR0TjSM6LkIYwWNbV7GzAO8UyBhjcqx3xHGLujbLg6y3KBEBUBY5WinyvCAMQ9q9Lt45yrzElob5fIEUAdPplMCWSKUQdU1IRVU5YpdQNjMaU4OD0Et6fsSVrXW++dWXkQaGnQF5mVCHMQ8OBI2RSDuBAN770ou8efs2lalIiAhCzdl8ygff/x6+9K2v8vIf/AE/+PRVTme3ede1y5zNPJ/9N6/wYz9xhd62ZeFPGba7/PD7Psyv/dN/iQoll991ka2NNURYkSQRB4c1rB3RLwPCnsWWllF7xCJyvPKlr/D89QuY6pTG5tx+O+fypW3KouT05Jjt9Q0e3LhPmlzE0OXUNYhuwuT0lNH6Fj5fkEhBiCTISwLviMMQr+Degwlpq8tbbz3kPe96jDu37rK13ub4uODGm28wN5Jv3/4af/7jf4JrT67zz//ha/x7P/eX+KVf+Ht88n+8wXxiqUrF+9/9QQZsE+sQGSyzEPEe4TxBXaF0hBcAAZWxy5zIJKZolpEwLpCoKKFxwTIiZtAhTVNm0zFShWTTAuccWVMghcfZGhUIgtqQtiI6nYRFdkbtHPFQMAtOSbYiEqn57/63f0KhDQdNhurFGO8RKEIamtwzHIQsJvu8XXydrc3H+Y/+9kc5m56i9Iy6NhiboUNop5pAKhaLBUJpkqTNPCtp9daoipI0aiEDR57NkUGEaUBGy/bV09NTpNTgA6y1NI2l8Rlbm10mkz2cq7+Xt6WVle87q0PkysrKyso7hvce4Q3UJVe2+rj8gNiNGZ/c5vj4hOFgi3JRo5TC+RIhA1BdTG3JFjmm1sznU0ZrA5pGUVfgEBwdn6FUipItNBJnq2WFx1tOj07pdXtkWcbp0QHzWUYUxRQ+ByPYGm5zlk8IAolpHI20CCFRKkQHNZ1+n4CEw8Mjuq0WVZkReIda65IXNUEg8V5hAkXd1CT3bvCDLz3BRz/6EeYPxxS7OaMs4OTbhxivGSbr1JUmUBFNmPKwLOjpCBE4kCHWWXQYLatV5bL9VirI8zn9Tp+maVBRxOnJmG7aJm8ywjhC2GUFNssWlMUMVTfUVYX0Eb505J0coxuKoqY0BZBy9+YZ6YM1PBWNO8ZHp/Q31vnFf/gJ/s7f+gXO1R3iXsS9m99icviQNIoopoeIyDIMNV/5w88y2BmyqA02q9h58jJRvMUf/s4fko4idm8ecCEqaLdAVhFi3kaMn8aFnsnBEe/60Bav3foWZ/OaD/7JbarC0b+QcP/sId2qw2JRk8qQnc2Q93/wSW4efxZiOBvDw/vH0ChO9kpaWcnFjRf5zBdv0MQNe3WFYcH5bov6+D6bUrM+GOCmGQGeSTNDDIaczXPOX7yK1gbpKm7fPKSdbvLKNx5wbuccb37rDY4aGG3C1iXPl17+F8i55z//83+X5564wrdv7/PC1Ze4uP0cgpDpcUYVGIR1YB2ddhstFVJ7oiTFPorMsH450+gSiZQaL8TyOiIgUJJ+f8gpJY2HuvHEWtJPuwjvoY6o65K6LMirnJ3tEfgG1xwRxXCWn/Lm7rfZze6y+6UxKoVqo0dma2yqWNgSIRQSz9m+48L5DaYHU9bWU1yQce/eW0StGiemLApHWyVUVUaUtJZV8NzSafdYFCVF1aB0HyFDROCROuaxq5d49Ztf543X32S0NqCsKqIoRkchVdVgTYMQgjDUJJFhUR5ydusYa8rv9e1pZeX7yqqddWVlZWXlHWEZ8bHz0t/8xC+wE0qeurbJK9/8HRp3zIRjmqZZzpMFy2U71nqapkFiEIEmK0qCIMD4ZSZkU4VIKfBUOG9pmoYkSfDGkqYpYRiSZTlnkwVx1MY5T9HMHm2d1MtZw8oRBIpAZDSNBR88esCNUEpRlQ3Noxm0pqlJ0mU8gTE1tqkROsY4TysKaWu4e/MGf+sjf5YnHr/MfH5IK4qxlUaRoPZBSkldBORHDrEIKR8YTO7oRgOstXgnSNst6npZlVEITOPQSuGtp5gXNE1DYBXee5qywjWGAEGdL2fQiiJHOYefT9HBcsGQkMuWwqKeU6qScTHHtNeoZYJoJrS7LU6zOYfzE85fuEhZVaSthGqR44zDIUCHHOYLcmOIlaYbpyR4wkhxOJ8h2wkH7hDTeCyax5/e4dbuW3z0Y+e5//A+3c0+Fy68m1//p7/P8R789M9eZ6HPcNkcNDi1bCFWQcQbr2Y8dp1lXqiGbrrF7DSn0zF4l1PffI5W9DSffuVzfPgjz3L7D7+IPlG8cmtAKT1TV5CmIWE+44UrFyjPpiwmMy5tnufsaEpW19hIs9zitM+lnfM0RUllDYvA0l0bcjw2zOYZ/UGb+3fu8aEX13nx+nnuv1VSVQ1raxd5/eu3eN8LP8S57nlsZQijLtZayjxHimXFzdQNqACCgECJ5fUkHN57zl+4Ql3XRElIZRqCAKQOltd/rGisRYWK2jfUpmKWLWi1Eqy1BM5RFyVVmVNXBVl2j3a7ixGW0eU1XM/jho5G1lSJ5nD+kNuzG5wVU06mOaFOCCTkZUlrOMIIT3fUJ8tz+p0tqnzZHi2EIGwlEAQs8gzXaASa9dFFZBDT721SFoZOt08SD9jd3WX/8E0G6wYROLKpw3tBrzvAuoqymjMYxRwfHzCItzCmRGvDL//9V9i7O1+1s66sfJesDpErKysrK+8IQoiXNy/svPTX/pP/gL/603+Wz/ze/8G8/A7zeh9v/r9wc6UU9tEMVZ7nOFtgjcB6KOsaqTxlnRPKLt57vLcYWy83reLQj+Yby7JGCEkQBBR5tXwwh+VhzXusXS7y8d7TVMtWQSXDZaZdoDHGEATLzZI6lLRaKYvFAs9ycchisaAoCoZpi0R4rp/b4Mf+2PtJG0cgLaZaLDd1NprAa5rTAuEEi5Ocrl1jfj8nzXtU8wZb8ugArWgaixCCprHEQYpSirpscGYZb2KMweXLzxb45aKipq4p8wKJoJoXiKahXiwwtiIrFjRNRVHVVCYns3OslpwYz8IG6A401qDbKdMiY20wZPfePc7vnANTkWUF+GB5kAhDDsdjslQik4hMeHK7PHy7xhKanG435dq1dZJ2wXSxx9q6YpFNmQnP1evPIp0k0g3j5g5jX3DyFrR6sHVB00oinr72AxzenfKtt48RsmB7RzKdzHBW4l1FFAfc/GJMNhlwMJsyrcc8NurwZP9J3t67TW49ut0ikoouAQMpaWyFqxukCTCN5OL1J3n11k2EDqmLM2rXsFeckAGbV7fprY/4zBtv0G+lNMc5T65t8GwnZSfUXK82WEwXtNI+QdShEpqgP6CyDp0tX2C0ux3OnTtH2dSEYUhe50itUTpABAF2uY4GrRJUuKyu16ZZft07ANrBcvuql8vfj8VSNTWNX7Z1n9/e4fjokEhLvPfUlVlW/sqcRhXEPU2p5zQYet2S1ihEjqARFp2maB1zNyi5vbvL737x8+h2lywQOBGwqM9QMlzOGFeCXneIlBFYR9Q5R6834PjolHarj3cBdW3IyintdIN+b0hlxoynb2FtA0Yx6I+YTmeMRkMODnfpD1oE0uErTSgDrC34n3/pVR7sLVaHyJWV75JVO+vKysrKyjuGDiRhbfjKZ36fVAmO8xydRBjzqEpX11jjCUNNkVfgA6SKcd5iGwdCobTCViXOg9YxdeUIdRvrKuI4xJqKQEV0ewPm8wwEdPoxRVGgSFnUc8IwIAw1IrA4Z+h1B0ynU5zzgEXJkH5/yGw2IwxD6rpkamZ/VKWUgSbwkkGSElc5P/uX/gKcjdlKYvKgRAhBkVmM99BYYq1QQ4kznqgKOL6zh6glYaAJ2xojLc41gCZtRxR5gw4h1hF1XaN0gIokpjLLeb6WXsakGIura2RgaSWKQAjatkNZ5iSRZrFYUFuH0hGlmSB9SFMDzhMpCQHMrOU0W3BhZwspFdPKMFw7T1Uto0XanQGb6xvL/MysYjvt0nv6Ct+8e5sDU3E0z2iLmK12FzNzFN6ye+tNzp3T1MWCeycaRIwJK76w9wYv/cAaNrbkdcH2xTZrYo27e3e5sL1FJ1nj1z/5B+y9bZhYz8d+8kPsvvUlssygNbR6PcrCcu7agLdfPeL55x7jeNbi5PZDdl66xO7D11kbDTnYP6HbW0fXltrXEAusgaqwSBXx2W98hVZ/hzyvQGtkf8CVq8/w1vFdJsMW00SSXDvHNG+oGs1hd8jtW/d4vLfJXrRAmIZ36w7DTDFSEc3DnL6OSEdDoiRmvsh4cOM2VVWh44gwDYnSCKsCklaKNRX9fh86CScnR2yd26F8NPOLDGiaCt2Y5YuNWFPbmsotZyfbaxGnp6cs/JTOdptsPkNrSSEqTsyEzE4JtUGqlHZL0u32mG/NMW1BExtsIMjMnFA1rDvF+tXLvPDYVQoR8Pc/+SuE/RHeFczLGVHcB5eymFf0kg6b69uc1Yq9e8csFgse7p8s5zZnM0Rk6PSGdAZtsqOHlHVNnIRYW1E1U9KW4uhkl26vTZq2OTh4yHp/hLUWhMYjvsd3p5WV7y+rQ+TKysrKyjuGAH70h97HFz79m1y9skY3bjHJF4DGGoiiFkJ4hPAEyuGco6wqhAzRocBT44UAAoSSZEXFaLiDEJLj44cI6TG1IZAxWVbQavUoy4yiyoiSkGxq6HZ6eGriRJMXM+I4pJN0cc7TafeYTqeEYUxd1/T7Q+bzKUqFVFVBGCnOzqZ0Om1iCUFd81f+4k/j8hlrvS6L4xNmwqBEQKA0yksQEuct0+kcYTxB7el1+ngTwEyi4oQgsGDBVI55ViDRaLncxCqEwDmHcWJZbfUBZZEjgwAlAhpjUFIiggBT1WR5QW0qyrKkaRoaPGVeQiCZFzntsEfRlIQOnLe0k5TTbMLbN28StFL6nT7jkzEvPvMc0/kRi8WMh996lWGnRxpqmqJE5SXNeEav1yPuJFw7f5Hx7V3S0YAgKJmP9zn0Jdvn1lHRBvsHp1y/usE3br3KYn5GIlPe98z7OFjMcZ2GAwWmsOwfHXN2YmjJLa4812H33i367ZDzV7YZj3NOTgs2ttbZu3Oby5e30Lrh1p1dNraG/NvP/zbnRn1mZzOu7JxneppzOsuwzhDGEa24RdSKOZ0suHzucfamZ6T9PvPoDDsI8Gsaa1MKbTk62EdOBEXTIFopb50d0V0b8KY33A5PGbYSquCUD61fQleKYaPRKCaLjGK+oNPpEIYhTkV47zFVQz6dL1tV+x3A8/BoTHpxE4zh5P4eKgzRvTYei1ISKwxxN8W4hqSTEJOgYk1FtozzcIYwVOiuxjnH6MlNyqbksYuPsXvvdSpXQBzgIwvS4lB4AR5LqAOEq6DxSG+IpScMY/7yn/sov/abv43XhmGnx7SwaBUShC2uXX2a/fv7nJbLVtxuv8f+/j6+gCiJafVCDg6OaGpBYxfL1nKWL0eqKkcIQRQpiiJfVrZ1gtQK4wxS6Ud3h5WVle+W1SFyZWVlZeUdQ0j4/a/8HoviBDWuWJQTzoqcMAjo97t4F6DDgCyfkaYxXjQ4JFoovA/QkeRkcki322c2zUiTHrNZTZK0EEGCdQ6tE6wR9LtbzOcLPIpAyGUrqouZzysW2RTvLd1eCx9LDqaHCCHAz9E6IggUsGwrbbe7FEXGcLhGWeZsbraZTqc8s7POe55/mlQYok6KkIqyaYgTifAgTIAOJL7xOOdIgz4IT6xDhJe4MMQlCRBCXWKcI4oShDXEQQoE1HaB1prGGaqiRrhly++ibhAelAgwjSEmIBACHSfUfUunu4afLTDTGUmZIlSExKBkuGzHNRWn+ZRAgK8K1lVE6+pF7oxP2H24xzDuk9mahS94/MUnuX/nNvUiwzUVqZZ86xtf5X3Pv5fdWc7R+JTZG6+TuJI6jcBU9JI2g3TI3m7Og9l9Ruvn2P3OIWkcsN3b4trORV7/zBGf/txN/tif2KLre9x9c0K/v8bTz51Dux4P5w8Z9jpc2Xye81sv8FuvfY6TxRm3bh1RHkJ0vuTahS7BPELphJoM42NUqDA+pqShbnc5nI1JG0k/0rScwoQR42yGkZb9k/us/djjbD35GK8d3Wc/z7FFw2b3PMNRlwrHjIbJ4oxOp49yMAkW5EJTeUP7QotLrkP/YUXqNds+xVtHlhVUtiYOFFIpXJUz6Hdpd1uUVYWxDf1eB10amqahXtScZTPmMkBqhdYaExrKusTLgLIp2T63RavTprXWIUkSiGPwBkSLs/EYfE1enREbx+az2/jQIfVyxlflp9jAs8im4JeVa5ylTCCwNdoYylnJxVaf/+Jv/Az/2S//E6Impc4yLj17nVB1uHHnAd56jif7XLhwiVu37tDv9ynykto4XCDZ3ryEsR7rwPpm2c7qKjAN1jUIJN3OCO8lcdRdvjARjjjVwGo8a2Xlu2l1iFxZWVlZeceobEOReqaipKtSpk2DUSEuzzDGLx86WW5GtdYSBIooioiTDvf2HtBqtYjChCzL0VrjvcBaj3cBgVAoCWWZ0+t2mS4WjNbWubd7k8ZO8dQM2z0mkwlpmlLXNXVlOZsc0+90cc6iFUwmJ7TbXQCKvCSKQ6IooSxLRqMR4/GYjY0N3vvck1w7f446nxAImGQZ3f4QY84IkEilsaUBAUEQ0E5GFNWc2ckcOY0QpSSwEiE1OIcA6krQSobMxgu88ThqmtqTZ9kyO9JLQNDtD5eB886j2gIVSLLpDBdIetsbhHFEgScVEDcBSZQyObpPd9BnfHRMwDK/EASUc6JAcOfGDc6/8BxhEhNZzb3dXU6LB5xMj3n/e9+NzwvGt+5SzOe0Bl0eHuwRhT1Sb1GJIs8qdBRSe0cnHZLlktlCoOIBD8Yz0laOCgUazRvfuME3vzDmw+/5CWbjN+mujSjsmKYwJJ2KuhwTNQn3d+9xcuuU//2t18iqmDOf89QLT6DISUXE175wE+oBrtXhbHLIdHKf9cEmx0eHxEmbUsJP/szH+fRvfhqdtLDG4KqS555/jm+89Trr7RHHdcWDGze4N51ycDhnGHSYzUvcjiQZtCmrOUk3IoocJi9JaBBKsE/GnXXBXEAHQTU55U8VGgJHb60LjV2+NREBQoRkpkaJhMI3hKlm0VScj2JK64kCxXC0QZbneOHQgaKoKhIV07iGbpQyf3jI4uCIfr7O2dkZVjjSTptOr40PPLXSnDt3kVlxQiYydDciUgmmsehejBUOQw+pHN4V2KbGGYGvHa6aM+x1mVUl9fSYKzuP8a0bb/Njf+YnuHM4pSxyjk7GtJI2Fy7usLt7m8uXLzEeT0iShK2tHSZnOWeTjDiO6fQ7HJ3uIhU0dUWchDRNRRjGGGOQgaeuG3QY4IWnseZ7eFdaWfn+tFqss7KysrLyjiCEeHn93OilD33sPTx8cEBdNgzaQ6y1PH51k43NAQdH32Y0WlZilIhQKkQEDUW1XP9vraW29bI615RAgGk8rVaPxbyg3x9SZRVVVZG2QhbZhCSNqKqcuimxSKSMUDKmKDLSVsjR0QHXr1zi6OgIYwxpmqK1xDmH9YY6q2jKhrCbUFYZGwiKoxP+wX+dKOgTAAAgAElEQVT6d8jyU7wvUHFIQ4QPFKqa40VAUwsCJ1G1pJpVdE475HlFNfEo04YqxhaSQGji2mOMwXqHlBJrl//b28KT1Q1GaAKlkXiENQRS0jiLkZq8duADTGHQUrHeTXm4e5/iZEYiFLKyNHlNMFtwNptgbEFta5yvKMucLGjIvONIOx7WBb3+kNgscw4frAVMbcXk6JCnNi5wvtUlyxYcNRVBVqG9Z7izgfOG6f4BRAlZPsVFBtOKuXlwgknWKQy8d0cSiwXra4pWf8hnX96jkX22RgHl5JCL59uczCukSukqyTw8ZdheI8xHvPK1++j+kGno2Ts54IlWynpni73TBXUYgnOMWm1G/j6BDVGmz6JwTKipIsf1nR3u7x/yxKWneXjzLo2uuKmOYS1C9WBhNftnnqwwhBZipVi73qfb7hAFmkTHaBRNVTM9mqEax7CRbPoIaT3b29sIJXn81pzAg3CCRIXEMkIrRTwI2blwHicVTeCxetlaqoXldHqGikMGgwHZZEJQNMRhBEmACCGzZ0ShRjmHRLJwDViHrUparYTcZohYEK2BlQ0zf0qVlqSjHjuPXSFutRjnljiRdHoh8/kUISQAM1+hfEMqlu3UkyxgkhnemATcf3jAWZYzbxw+kOTWEUYJJ4d3GY028UIxHGxwOplz/8E+185dRgSeui4II8izMf1Biybfx9ia2uSknS5apayNrlIWDVJGWJNTVlP+l//hdR7sTleLdVZWvktWlciVlZWVlXcMa+0fVfSkUHRbXbRU5HXO/YMT1jc2WGT7hKpEujkXLlziwdnpMpzcWQDiJKZqDAHLrZRRFFEUGSDIstnyIV7WlFVFYyrMvKTb7WCMQagAATSmoD/ocnj4gLSVYBrP5HRGt9fCOUPdNBjTQKjw0qO0xgcCHMwmE/7Dn/05inKOaQqSGExTUjYVDoXEgA8ABQ3Y2hIoSZ3MMb5BByH1ZE4SgY5CFtMpqtPGW4erLdZYpBDLzbAuQUchYZguF+QEAmcFtmpI0gQnFN5WtOIWp/Mx1IaFKbFFxfZoHVtUmDrH4snqnHavTVUH2EVDpCOsq7D1AuccLoAo0pRNjbWS81vnee321xFpynuvP0N1cMpsdkxRl0gd0NURSZLw4P4BhIpYt9hZ28Sxzll5Qi4dG70eerBObhxBVLIoppQnGWuqRZAmPPXkc7z51c+y3U944sn3YG7vMZnWnGY5TQ2umKDynIsXW7y1u0fnwhZXz4147tw1br95jzjU6CSicZaDowOSbpdhZ0A1XSBETVOdkIYtbo/vU6qG18dv0NkKcdoz3NzmQX5KvNbCGcVsNgEtQYFxDTGSjpH0pg3hZMFmoWgbyV6qoGzY0Sl9p1AioDcBLyyJisF7WmFMU1Z457B1w+nDGbt39+gM+sTdNkES0mp3uOP2CbSi8ZJRT2JHkk6vR9NUtFoSqUHGW/g4pK4apAsQVUGsQnyRo1VAy6UE2pMtxqxtbtDRHTqbKWf5lKKcE2hPUFZopSnHDcIsF/ZAQF/EWGdRkcLqmLHJ+c7hhJMqxktF1SzbbfvDEYuTMaWpuHDhArPZggsXL/PgwSGnpwu2ty+wsT3k3r07VOUCgpB2V1GbyaOZyJKkHaIUWFuDMAxHPRbzBhmEINJHn2llZeW7ZVWJXFlZWVl5RxBCvDzaGrz0F/7mR4nDhDiOqcuSOEo5mhVEGqScYKsDTD0lCQWR0szFsvJojQfncBbCMET6mKqqUCpAa02WzUnTlPns5I/yJsuyxJhlJIeUksrmNLXH2mXYuxCOopzTjbbY2Fjj5u1vo7UgSRVltWBqLWudIeW0wEmBFrBWWf74+97PtU1Br61R0hAoiQw7eKkpG/Eoi1KhUcgairOMVhohHNiFIC475EcZ5BJTG8pMgvfI2hOLEF86hHUUlUZIRdobcXRySquVIALPUCXs7u6iVMiwM2ByeEJbJaQ6YjI9o9fpcnDnPhiLdhIpAsp8hlSCo6OH4BvOpmOcr5lUZ+SuZiIlxw50p8fa1nkmkynImqDXYnJwwPnOkMnBAUmnRWYKqnlBqz/kuKk5bhq217fJH+wxHPSYZSe4GP4f9u7s19YtP+/6d4zxvuNtZ7/a3Zy99+lPHVfrSpUbDJGjxI4j27JQkHJBuCOXSCYgQmQigiUQkLtEioE4QCJwLCDYECsOGJDjwo5dp1x1XFWnP7tde3Vzzfbt39FwMQ/5E4515Pm5XmtpSWutd83f/I3xPH/mp3+K3/n22/TWsXn2mMPDEfkwpnGWL37tT/PPfuu3aeZzbh+M6L3lbNWwrAXH0xGJXGOakuNcEocBOh+w6SM+fPSMSTSF2hJNZlxUFVXbkScpft0zihWz2NFXW5STGCvhwW1u6iV+2KMCQ2sti1iTHR+RDxXXlxtMoagWJXkHmQp4c+4RBk4GB6jOM5IZSRDhpCJSAbEVJCjiKMIDnTUEowSJp287hIdY7/o8B3lK3TR46Wn7DhkFNF3L7CBlVa7ZRob0/gw10Vy3K1rT8pZ5jAktK1fQK1g1HUhJSIfyDtl3pFoRIKiKktRHOGeIQkgSgZKOk8MDhsMhX3jzVUbjHK0DkiRBhwlhGGFuGrwUnG0KnqwL3l11XDYWLXehTvP5nPFkRNu2gGOxWDA5PUEQMDu4Q98JitKQD8Ys5k9J0xTXV1T1EsGCbXHFdJDRm5q6WzM7PESgieMpcZwThwcIHMb0/O1f/L84f7rfRO7tfVr2m8i9vb29vc8MIUCHIc4bymoLQFetQKQY51Aqpu4EioSyqSn8LhH16uKak8MjTGd33X19z3y94s7dWyyXS7quxDlH3/dEUchgMOLx48dk6YA43t3DEkLgjSXWmmJbY5xHR4I8SRnmY9577wPG0wFCWKpqTdNW5LMJZblls1ojo5gXbt0miyyHx6cMRy19t8VZg2laojTCYxHRgCAQmB6avkc7iVCS9bpjkA3pW0u3bnC9IrAK03mGYU61KWnXDU54BmFGua0ogw7pHc1ige16TBSC9JTlislgSNu2FIsFoyTGbmqK9QbXG7ZNy2w0pFyX5FHG1dUVyXDIYn5F73ZHZ4WSuBbSMMK2loHU5LMp13XF1fMzqq6ndhWzNEQEiofPnjAa5JxtbvDCMBqN6LREZgNE1/N4vSQTjlwHeBdj6PjHv/a/UgtobM9ryRFBH/L8yZo0H/B//2+/xWQ44oKA7bbCiwilRohAsCosh9M7XG6fUHnPsl2TpGBDSeRzTGd39SphxJP1GfloxGE+4Gr9GIfCe4V0lkzkxElOt7YkQcqz+RXJKGH1/JL7r75JdS64a0LaD9Z084q7esjIKGLheVAFBCpCNgEyTekCTU3AHanBOobDAcr6XQWLDskHA9blljxNULGibzscEoGlaw2h0pR1QaQDmrpFOUdy7UnEiGNj4LFh+c6cO5kgzTNuvfllnq7O+cbT75IcZDQqpPKOG1MSJwFWOK59R6QSyFPWPsH2hkRLfFujvOXDj67I0xX/7J0PmUwS6qYmjmKurxpGo4zbkyFFVfPFr/0Ii7LjqlVsO09ZXDPMcnQacXl5vvtZNxVVscHdKCKdEqcjApWidcDh4ZSuaZmOZ8yvnpOGimwwwPYdQhjCMCQfHVI2JVL0eCIAAjlEiYA4zva5Ont7n7L9ELm3t7e395lhesOzx8+wtscJjwwEMlCEaoyUoAIPYoRUFq0FQnhCIRgNJlTbmq5tGCYhbVkSJ5Ll8hqQSCkJw4y+73G94rJcMMinKCWwdpeyKoRAojCtI5QxQShRErqu4cnTD7l1+5RtsaIs1+hIkWdjwiDgcn3NMBsQDEfcbNdgJd9853sc/fDnyccZrt2ghaDrFZ3xhNbiBWgdY11H4AUgiJop6/MN1BK3AWpJ0AsUIdvlDYGOaGrLYDTm2bpAqZBwnOB7Ry4z8tBj+hakJ5SKznQoPHVb0qyXHKQDvPdgBG3TUIseIWCxXRIkIZu6p+4l6WBKqDx9PaSstjizJVUZlTGsFiUTb5HS4vsaPRrRFhW+MyRJgpXgooA0T2jbHh2AkA7vOkZZTKRiFus5gyQmEII8zuilo6i2RDKiqgRVO2BdGu7dOeSrX/4Sv/ab/wthGFM1lpvVgmh0wCiNWV8tOciP8a4Dn+Nlhhea3hmGiYbWoMotrx0cMl+X1JsLhqpgksxQfUgSxyjTMMhDjgcJf/T0OQ/u3OPZ2ZKv3f5RLj++QFiDeGx4tUuJXErSBsSdIBSSm5EmkBGJisiChERkSCsoI5AByDBABKBijURQOoeWMb2RIBwy1FgMQiq21hNLgZMKgyAMQ7SSnFuP8Jaw9yQbAY2CRtJtDe6DJ7x6PGAWvc54dIv6MOM7H7/Pu71jsVmjDnNWtqYXIUZqnAwxXuHjAU62KOlR0vJks2BwcEhhe5xM+PzrXyZ6wfPg/qtcLx4SWcv7hWW1KgmjjLraEoUgpEFHkjhNWKyWHB+fUnWWOEspioqbxQV11ZPlA1bFc1584ascHp6yvinQOqcun3I8ucfF9ffRkdq9ceMtSSJxzhJFEcb0yEBRVz37io+9vU/Xfojc29vb2/vMsNayXW8Qu7pDwkShlUbRI4TEO0VrFIiAsvUgBV20e9F9cHxKsb7iw4un3Do9ZDU/J8sywiCmKCrSZEgS51R9RRTGaB2iAk/dlPR9Q133SCRaxxRtQ13XJGlIWVWMRiOMbfHeMhgM6LoO5xzLy0vSMCSNYzZdhwwCWtPzre99l3/1S2+SpikEFtP1eBkRRSHKW9q23X0963HW0dUV7TMLncU1EldKpAkIhMZZD8rQ4rnuliyLjlVvsEbyhn7AdDhg9eiaQZQROtBBSLvZEgQB88WS4SAnzjJM3RJGEll7JIK6rulaQxAENE1HmBwwO0ppijV4g453g+7qqiaVEik6nDV4b2lsRSgEF+sCdEgWBrR1tdueSk9X1cSEUNR0fcPJeIItG3zbkIUaUXVoFRBaiQ8ksdHMTUktY/p0xNn8OW4+5+Fv/DrCtTinUFJx//YJhQHTLAldgXVDcCmEGYttSzQCqyxdZxipANoOZ3q+eP9lPvzgQ6JgypAJFoFWhiwvCfNL9DQkaSzfnz9H6ilPLm5IlGU80DgTIrXHScembmnCgChU5OmAOEwZxmOkCxklM7SIyCYh6/WaPM9xXY+3DtHt0kVDCdb2WNxu2NcRnTWoIMEHkjTRSGFxXYPAESYOgURbh45iyCW9hN716G5ITMTdUNM/L+huFvzEnZf4qZe/wJPlM37lX/wGPvYsrcAIT1uueOONN3n86GyXXIzF+BapoVvXBEFAFGgSIsqiZnu1RXUxxrRcLOc46aEqiLOE9c0cHR6wWm2JkwEq0Hz85AmHB8dIuftbFsIRxVBUN4zGYx4++x6X10944fgB33/7D5mMDBcXz+idR2vFZluQjzKUCtA6oqoqJqMpo8GIZ08ud3eA9/b2PjX7IXJvb29v7zPDGMNqs0QnuyHP1Z5ARoSpwhqP97tthAo8PQVdV6NERmcSmnOJELc4fuFNmr5FJgO2bU1kPDqOqIol5WZOEArSKMX1Ha71ZHFI51pa02F1SVkHqCBnkk0IgoCq7KibNevtnCRJuFysmU6nrNcFkRZIrahZoIWir6Egw4Uhf+sf/H26ouE/+vl/n3EUI/sSbEfYT/B+i1IWpQT1jWGkb/MkPicahNyeHdJdbSiuC773+9/EtI7TwyPaOOXzP/nDKB8wf+djMgOb5yvqtCMZBBhTEceSzeIGv70hHY+JD0OMFhih6GvDZl1x9vSMW7fu4LMIKxVHt1+gaTqa6znGG4Lc07cG2RpC7xmHRzS2QoiGVhly73BojOuZ6N1AXaUhF8MEBhNU0zO/eYfj9A7GKqwXnB5OWNst9WaNsp5kHCObluloQhklXF05Etvjcs354oI70zEHEbRNR7TUxHHG2fKa08OUtiu5oSONJphkwNO6olIeEVjqqyfcv3ubN8JDbi6vuAolyYu3ee9izq3ZMdfVBSGeg0BT2Jqb9YY7d+6T/tAXePcf/WPsaEBRtdSNhabGlgZjSn7h5/8Tfv2f/BaHd15ijWbTGRbvfMjicsE4tUySiK5dkiiLKu8TKYkKBCqZMJodUnQGD+SqYJCk9G3DxeU5FQbrDVY6kkRT+ZYkjAhah9kW+LIhimMCqXZ1NQ0MsgFhHFLdbXHO0ncdGs2RAf1Qs/zogtlBwL/9Qz/FOuv4b/7pb5JMI74z6vn+xfsoMcG3MaFwJFoQOE+eBpimYZSnPHv0DutOMLk75fGjC46ODhmMhhyezPjw4XsU5QqQbDYlQRjRW8toOiLKY9bra7JkhO0tTVGRZSkOweL8OU6s2ISKtnpKNpNcLea8+MrLPP/oDInjR3/wFR49/SOM7ZHKEuoIQ0DZWQ5OTvD7TeTe3qdqP0Tu7e3t7X1mSClI0wSUREpIkgitA4SAIJR4H2B7g3MG+cmRUAC8QEiB957lckkYKibTIwSGzeKa1XpBHMZYL3HWYgpHIHZhNToOqDuLCkKaRqJkgPOOdBBQ1St01rJeLhmNRtwsrpjNZnRtQZYHxDqm63ZVItZa+t6gg5hQK1or0aMxf/cf/EOUs/ybf/HnODk+4OpyzcHRjLLd0NUNySCmk5JwnCI8/MNf/R8Zk/GlV77Irbv3SXTCUGdclgXzRxdgQTuJ9XAwHFA1JVKEhEqxXSwIpSS5d5uq6UhDjTAS3YGtLWbbMBrNKMqWOAo4ODj45K5oy2CY4cSutqTYbNFKI42hFT2dNSAFg3RAV3RkoaYxAm8hUBFlZ7HeIPyasrwh1SG9aZAyRYWSd95/h1E45u54hkxDPr55xJsPXuTy2QV9kHA6HrIqS8q64vj4mKA1+L7B9D13JicEeUIYZaxuFuhQoSykSYQSIdpK4izj/PyMr3/xq1ydP+X9Zx8xTXJiHdEWDcvthjyekOQZTWMIvGdVlrSBo2gd8juPmKxg0a040IcEnWVoDSOliWbH/Pqv/s9sCoM3AbO7LzMdDZn+2I/TdT0P33sfU255/PQRIx0gswucc0TlknQ0ZXF5xng2Y3p4AC6gaw1RlHH33ouQaJwSIHoGo5zHTz5iNb9Cdj1SKIQOKZ3Fti15IhGhomortNdgLX3bMJlMaNqKcTakKAqMXyMLR9RrMmf5a3/lL/M7f/Ad1k9a+s4hlcEGhrqtdqdje0uzqnnpxfu43tBbz2g44fHHDxkMJnR9Q2daHj9+TBTF9EVPksRIKWnanjAKMGZ3rzGOY4y1hFrTdh3W79KWlVI0TcV4fELbthzMTthuC0wPVjrGec67779HnCratkMTIJTGO4X3UNftH+tzaW/vT6J9Ouve3t7e3meCEOKt8UH2lR/92dfxQtC2LaPJBCEEWToiDCOEVBhjaE1Hb+pd8XqQoKRGyd09vDDcVXskgxDhHcN8gFYBtmvpmoZ1OUcpRSAkfVcQKEtRXjMa56zmK5I0wrqa9WaOChuc69F+wmCYUVUls9mEolwhJZguIk403ptd/6Fz/3KwLU1HGg/IwwHNtsQ2NaM846aeo4QmCmJs3TAMPZF0iHPDT/zZP8frJw8oH294YXSH+QdLlFMESHwnEX1IGMY0pscHkK6bXapnqHYv4NuOJNQUsxzf9PTPlxyR8/j9j5A2wFrL8P4D8jynbzu6rmMymQBQLK+RQrFdbdFhyOr5nGE64Or8GVmcsL65pq5X+EBQm4o0TxAGNq3gPFc8tGfc+XLMX/o3/iz/8X/w9xhEx9xsPUXQ0geexEYcbdYcvvwC71VX1KsVP/b5P8X3v/kdjg6P+cPVmjKJqWvHq6e32Tx8xOHhELkWuDgEKUgDTVlXXJRrvv6lr/PBw484uH+f7330IdOjGV1bkUQRWVlSz9fU1tJEkuOXHvD82RkDUzMUKaGT+EjRyhLZl5wGEZPDUzYm4uMn1xzPxsSupik2xOGYNIwZ5QcYY5EqojeOJr/NeDxlNjxAOUi9w1QFN0++vTuu3NTYtuHk6IjJIMc5Rzy+y2QyQ+oIkWjkKMcKaHzNcJTjcOAs0nYIb1HS09UN29UNGINtK6rNGqkEunAEgaTtGowxDAYZURTRDp8zOI5RJ5ZSVuijIWXbUYqM4XTE3/ylX2YzBD+ULGWM0hm3p8e0TUOz3TIdTak6RxJntHY3ACZZyq3bt7m6mSOExHUdRVEQaIUMJQKFw1MUBV27u89orSVJEq6urphMZohQE6qAINAEQnH79A4ffPABdXvNwWzA/PoDgtBzeHIbnR6DCDkc3KOqKuJQ80v/2T/h7PHNPp11b+9Tst9E7u3t7e19ZggJcRxQ1A1Cetwn3Y9t3yAUKBFSVluE8ARS4oTEGhCBQwiDp8d7uavr6BymsyAMgzQhTUc4XxGY3bHZLEuJszFCdbQYbjYVaTok0BrfawaDhG2xYTodk6qMpql44fZLPH36kDSespjP0WFIrDKgZ5RmrNc3uA6SZDfobbdbhrdmmKalrQWiM6y6nvFwQNtKoiBCqJbGVPz1f/fnWc1XbG7mTOKc7WLBwXCE7wRF0xIKQWAEoRT0CLZNSxp7VKhwUrHtS5I4RsSa9dMrhjrhVj7jnd/7NoHSkCe89MZreCKePXmKEJ4sidgUS7xzSClo2pbj42OuLm6wXnJ9syKbjBDOY/HMpoes1guOhodst2tGaYrKMz6qrnhcn/EDg7v8H7/5y0xGMSESU3Q0eIRWrFcVB+mALs54ct1SVpYfHk6R2Zj5pt4lnNoegadcrzgYT4hVQHA4ZtXXDCdjzLqkrNecHN/h+++9R1FXPP/OWxgpubnsuSiv+crnvsL2+QXKe47yEbWArmhIhyOoPE0PTkg6a6mrnshK1GunvPXRY4L8kCaVdOOE1jjKIOK+y1lvt8wOAmxpSbVC5wndOKMoN1xdN+RRsjs+nCeM771KniZUqxtOhkN+/3d+m6Yod1vRzUektiafTjG9Ik4ELlTUzqIQWOsJghARBFjX03sDueJgMiTwBt+31MWa5c0c40qWZcl4OkLjCaKQ3jlWvUPZkOLZCpnD6SRCqYBMJayuL/kb/87P8q2zD/mtb34PX9QEXlOsdm+A5PmYsu4JwxjbO7zsWa4WLNchP/D5L5DmE771rW9h247JZMSmXBDLmPV6wXgy4+DgCOvh5uaG4WTKcrnEOElRNUxmKYvlmqODIy6vb5hNTzk5foH5uuVqfs1gOMLTMZ4estp6gjDg/PkFg8GAMA1xdt8Tubf3adpvIvf29vb2PhOEEG+NDpKv/OjPvoT1Au8FUZztUlNjjQQQjigIsdYTygjvBT0aITxaBwRBQN97dBjT9B3e+90GEwnshkukJ0kSpADhe0xf4CiRyhHSIYQCH6JEhiABr6mrObbveProMToMuXz2nKPDQ7bLBYeHhxhj6PuG6SxHSEOcaJrmBqMCWqF236/3YHqE8tA3DEVP5Fr+1t/8D3ny6CNOwgneWJ6/85gDPybuNNVZSxpmmChB9wFm0SMIMYGgoSeQHuMcgdZIH+IbQ1PU5POWq6srqnXJvVdew4YB4eEBz68vmaiUKNSYrsMZSyh2R3GN3YUY9duapiih9zgLMuixfYcpKprlkuFwSFUXWGtxytLqnLea58jbhlc/V5P4C955J+MPv31GGd1inQgW7ZbMR3zh8B7vXTxlmYRsVyt+8MHrjPUuiObD+VOiyZBIBASrmvvj3VHbUkZkJzMenz1jezPn/uwWL3/udZ5//IimrajLNb13+Dhk3jQ0xnJLRURZwiBMub68IpyM6FLN4+ePOU1HpA76tmWkAmZohr7j5Pg2xgQ4NMvNGqsMSZ4wHBwQxTFRkvDsyRl3bt0ljWJ0miCDEKkSqqqhXC7J4wid3EF4x2yQ0VdbAmfxfcN6tcJfPaRvO6QCqRTZwZh4kKGPXkApxfGtYwyeIE8wwtNIjxACJT2BBCUd5WaDVIBxu99n4VivlyRJTF3XNHJDEEqW5SXDgxiXtZzeP8KPJX/03W9y56UJ6B7nQ5ou4ezpFb/y1u8T5WNIxlStpWx7nIN0tDu22vUOLyRhlDEajXANtF2J0obl9pq2bRlPjunansnRjO22IIkzPvjgIZ97402KouBmecNgMKQqasbjMfdfeEAcxjy/fJdie0MY1jTtGkdINrrF7OCUxI1RSqGE4O/+p/87508X+03k3t6nZL+J3Nvb29v7TBFCIEWAYBfRKmWIEOCwCG/o+n43MPndhsV4hfc9CI/zFpC0bYuUHo/H25beGJASaSVIQW8aYh0hcYDAWnCdwwiHUgKlDMYX6FAABqEjrIWjW/d5+OEjgmjK2XnJ+UeXfKd5inOQZQlZHpPlirZr+PwXP8fg8JjJ4ZR4kBI4A6Znlkna7Tl3Bh1/8S/8OOV8zsn4kGZboQLJvdfv4+YNm+dbhi+MKJYlpmlZ1pYsHeK73aCrlSCQEVpIvAXXWkRpcYuGq4vntKbn3g+8gooThJAsnj9jqDXojihP6BYdKpAodhUjSo/BOtp2g3eCwSDHCaibDa7vWa3XHE4nCCkJRE6kFMnRmLV3PPuDtzi5M2E7ryg3K7pGMspzSq9BKZblJdl4wna74ktvvsnvvvMu904e0C23PLYF+WTIYDCgtpa279BCUDU1bdshQs/jDz5CpTE/99M/x9XDpzz5+BFiu0F7yyiO8cKx6juIY5ZlyXNbUtQVaVdy9+4RSkc8vXiKHw1Y9gacJ9aKAQFjozhxMfpqyzQ7RImY8d07eB1QtQ1r7emco2scL770Gh+8+xHj4YRXXhyQJyOePL/k9PSUcawR1tJuavq+Z1XX3D09QgpP11Y0vUE/eA1b1ywunxMHksV8ATc3JNcrptMpZ9eXoAOGt45ohEMfzIjjGCUlznqEUKSTg90dw2KBEIK6KVFJgs5T0CHH0xnOGfI2x4YNm2DOxw2u55UAACAASURBVBdPaG9avvCVrxBGFkRLVRdE9IxfPuIn7Ov89rfepqxaOhWxWJXcunMH0zu6rgapuH33Dk23OzZr5O5odNcvSdME5xzb7ZZIpzx69IjT01ucn1/yxhtv8P77HzIaTZjMjtisVpzePmF+dc2Tpx9z7949Vjcb4ijAGYvpW7I8At/iXU2anfLs2TNG+XDfE7m39ynbD5F7e3t7e58ZUkrybMiuEUHhCQgDjQ1avN81xQm72zoqHxDHKV3tAEfTVARBQBwNsEYgXIP3Hmsd3vVIKfDeYa3GG5DCIpwnDBXW7sI74lCDrAnjFiEcUq0wvSPIHpCnGX1lePXNN7g+u8H1DlEmbDZbFjcFeXyIaRuWdcXprRcZjL5OPj2gSzSVEKSxJ8DimfPqawd87TVNsb3Y3XXrFGKYoLWm3Vbkd0YMM83moqSyLbM4JR4FJMmYelsRNh5lLXZj2KzW2MYRi4jVoysiF3L7jfsYKbGR5vxqTupDJr1gEKVUQ8dqfUmWDMBCX1uUUDgV0VbF7v5p5qibkiAMEK1AKMnhrRMOx1O22y11sWUwGVNqxeOrp1SyYTgdU68X2DP46GzBYDJjMd+gh6fcvf8qorR89Y17fPj4GXdDxW0dcb645rK7pJcbIj1jVSyJPKTpiM2mINQRIyeIkgGTWyfIuiNFsnp+wYkUREoyEorpwZTrsuC8N8Q64RtySzNLKMKYRx9/wIODUy7aijybkoSCcn5DHGoSoRhYx5aacRThA8jiDC1jXJAQOs1t7RBJzFaFdAh+8Es/TLkpefzeOVX9iHsvv8YgmnC9rrh9fEwaWowxrLcb2tU1dddiveGVlx7w3IYMgaMXX0f1DVdnH1PXFcH6Grn0XK3WlH2LeDiCLCK9fZvJZIJOM8IkQWcJ2XBE2/REIgAcw2QAODwWGYRo29AZwzSN6SNBPBpz+OJ9Omfpuo44DFGxx0iBj9cEkeJfP/kaX37zDX7zOw/552+/w2CUU5uW7apGSsn0YMbl5SXbsqSqCiIOcN7QuY756oLZbEbdeLquY3Z4wGa7RccRTduRZgN0lHBzsyRJIpbLJR7DenvD83OHQmG6lsk4o2uu8K4jUD3L5TmH+T2Ojw8JRAhin866t/dp2g+Re3t7e3ufGUJowvAU67d0fU0Y91jZgXHoIMC5EOclTmhQnlW9RDiBFIJQSXQYEKoOFUmsLDHGYUqD9R5sTKQTAtmjdcRmvSAMUvpegtcoqelMjZQZptSEWuCcQ0iPCh7RmQgpZ+hUc/rSIWW1wtgR6soghSHoW6SFZHjE0fQFspEHWSLpSLQmkj1RAH8qeMyPvPk11otLQh3gZYAIIepi+qojijTrxZq2apiMhhyd3sFtJNvzJdvza4JOIUXOat2SuALVN2gRcPbsIUGece/1l6iuSkbTMRcXT8iEJUkCXAoruYZaEakA2zmkj6AHpKZulgAEoxjvDGEY0bU1k1BRtBBFY8qbjqruPznC27Hsl/zud3+Hl+7O0DclqZiy6Buubc2jueE6VLTrG1rp8Z3hb//2B3z+iz/IMgt4+PyM6SBjYO9jrGUdrQiKkruDU4rrJZ6ANBkRTSbcDnI+/N5jApXwrY+/Ty5hkUw5yTy2fcT16gYfTbk9mHC2fM6xF1RGskoV4fiU1WbLkRSouiBAM03GZLVhKCD0DcMgQRtBUPV40dPImnw4YjCZoERAWRdEAhpbMzsIWWqPD6eE1wuqi0dctmvuvvIKRgqu6y2D4RAdhWyXSw4mR7TzBcXjOckgQccxTgrcMAd/mxgYFENWN3PicMIIaMqCcNuwefu7VFlGfHKCnk1RSYIfrEiTGJHFlF1PkEaIWONDhcUiOCAIGko7J0kHTA8i2r5FDARBqtmYjrZuiKKMTCT0puWyukarjj/3lWNev5fzf373Cd97+JxJOsKEMa0R0GqG0ZBl0TOZXXN2dsZ0OiVMJ5RtxHh0ynq9oa8MaZRTVltMW4M1hFLx6otvMr++IAx7ir4l1jnVpifUB7TNnMYUdF1LPhxT3jS8cO815jdXJIlGRAKP+eN8NO3t/YmzHyL39vb29j5DPEL2SCWQVuKdx3lQgcL0AmMMUgqMcUjhPrmzJ/GAdXaXbCkVxhqkizCdwVmBNQahJF1nyUfxroIhSjD9/x/WYcBLwOOcxzlBEGhsvxskbbs75hoEG6RUSBmR5ynDN0+Y3drwLH9CU9f0tuPo9pCjuwl+llJ5T55ZYi55JbwhN0tee+GIxdO3CSLBcDRmW1Q4A0VnSNKU+XZFNhwTJZqPHz6hmX/E8XbEMBhgpCEfTzG1JIhD3v3++7jWcvvwhJO7tzk6vIUTgq0s2SwLDm8f4YzFG4fpevCeRGT01gAa58EJQdPUSC3RQYjzPW1VEAjQWnM5XzLQGYkMcaLB6Z4n/TVf/PpX+MW/84uQxBRxwP979oxlsSJNU/70T/4U//Qbv4MJAoq+wzmJlJIqzPh/3n6b48mMaSdZV0tsGGBCyabpeeONN6F0HB2eslyueef8GS/1nmLY8jN/9a/w1/7zX+Tu0QEqgBdHIa5bc1HV9IMJw+EM1Ru62HKkp1y2LbbpwTsOhSZ2DlsYslAxcIpRoHF9jyHA2QCEJIo1h+MRVmoC7/FNSxwpsnyIU5ZtaQm2LWrTcS8OmH75c/yLb36L77z7bZblmizJeem1N2m6DosjGOaQJyg5I9Ixsq6xXU/rOgKjOBzt0odFljI6fYm2KdgubwhNS1FuObIjnHPU6zXz8zOM6RBCkOcp0dGMbDhCpBFBGqOSmChL6Ue77kmQFEXN4oML4rFiem9AnCQE3uBUQBiGCG+g74myIWkOddvx8nDEvLa05YbHFzV97MknOdfzaw4PDxGu5eOPFrz66qtst2um0yGT8SGXF3PiRBJHCUWxoa5rwiAiDEOKouD4NODi4jlf/ernSdMU4Xbb/74XjEdHOFsjZQjCcf/FE6RqqTe70wNBkMO+J3Jv71O1HyL39vb29j5DHN4bwBGGIWGkQUq6viGKNd77XdCGUkgp8d5DEGKM+aRPUmBdDwIkOUHgcGFPmoZYa2nblqbuSNMcGTtq34Lf3QkET9cbrPFEOgVirAFrPZaAQPf0foWQjiQe44khLohDeDB5GdtrmtoQRTHEMZuqJh1l6HbFyF9xt3/IoV2QxHdIhjGVrbkpNyihCUONjHqapiHqQ0YiplvUvJ7cAS1g0IOP2czPud4Y2o0kjnNuvXiPYTIgliHr+YJNu2G53pIcp8RxSpzNmD+5wDQ9iQ5RUtJVDghomw6tI9q+Js1zEB3CdwRCEuUxXdOy3aw5euE+64trrO94On/I4P4xt7/yEn/9v/4vWA0iWufor1fMi44wO6LtFd98+hA5nbC5niNUgHIWaS19GuNbSbMuiWROpDO6ScLT5SWxTTgcHJHGkofvfUTf9PyNv/oL/Hd//5eZ/MBL/Fv/5S+gBjEDepRz9NtzjO/o0pw/uLli1kecKkGehEQtfPHWXS5vFvTbDXfiiDRUSOfQhESBJtca6AjDgMDsalmqsqGOV+TjGd22YDidESQBQRxgwpDj4yG9s/TCE/Vbrp9/zL/2Z36Eq9WGJ+8+5PlH7yMay3g2JcsytNJ0mxKAIA2wQhBIRRpretdjqxapFDc9jIcZTegZ3BtjbMU40mzOzujqkr7ZkiVDQunxbYn3hv7yjPMnD0lGI3pvGRwcYB24oSJJEsaHI/JRxPTwFn3TUF/XmIHA6w7CBq/c7s0aKQmDhL4rGA5itlXFF+4fMo7g7/36H6LCgKJak+QK50q0Mty59QpnT29QocEYQ121JEmG1prNagtAFEVIKUnTmLa1fOftb/HgwQM264o4zlndLBgOR2wLWK+XtNWWo6MjoOPp2ftY5/j6V/8Si8UCpTRCyE//cbS39yfYfojc29vb2/vMcM5j7S49VQiBF2C9Jwh2A6LWu39rUgqs7VFKUTUNURQB/Mu0SucsbQtKhegk/CSlNUBFAQqPMW53fzIW4MVuGyQEgVP0nUHJCC8UvbV4D4EMsc4ilca5nq63SGGQsiOMQ3SUsV1Kbp0+oC16bOc5mXZsbp7x4G7Gq5MZ8v3v4KnQyZBtWdNJwWx2Sr1paIqeMIjQvcatWn7jV3+N9nJL1Aom+ZgPgmd87o0v8urdL+GaANtburYiHw7w3mG8Icg1re0Zn4xwkcQ4x7Onz3ANmL4lTgJQHhknVEVJmERUZUWaxQjRg+9x3tH34IWkqQuiIKSuS+JBhBCOw5dP0Sdj/qv/4b/lpl3TBUOkE8Sl464c4JsAi+DyyTMq45mEGmSwu3+KYNkaRlFGIh3HgxltWdCZlsPpiFdOXuA4HOC7homKScZD/vmv/wajwxn//W/+T0S3brPZbKiamlxFRNNDnj/9iOOXbzNpBN567pzcYv7xBxxNjmhu1sTrDUdKMW56hkFAKhO8cbsgprZnOJpheosTEdY7BqOcTbEhilPSyYBUh6zbLUk2IpoO6PBEUcbhdEh//ohYOM7OnxFnOQ9efIHD4ZA/+MZbfOkLX6FvW8azI7z3BGFEv96SjwYUZUkUBLjOEIS7N0ayZNerqOMIJ0DFGQSS/ME9kr5H2obl5VPKcouXGu8sszwjMoY4S1lvN1w/e4pSirSNMHHM5dU50TCi0w3j0yHmviQPDmn7kuwgxLkOgSJSEqd2FSHWNCQ6QK3W3JrkpFFEjSEfTLh4esYgjdnWJRGGu3fvgWho2i1d19E0DVrrXa9kEmFsh7O77sjRaIYIBEJ6jg5vcXZ2hrUCkLzy6j3e/vYCaz2bdYUIO3QC+SDmydMPiXRGVbZ/fA+lvb0/ofZD5N7e3t7eZ4aUiiwdkuQRUkJvG1rTocwuDdLjP0lPdRhX0xlHEkwRDnSocMYinMP1Pb2JcTgCCdb24HrA4V2MtXY3pPpdF6W1uz5KEYZESUwYRpjeoUKJ9wLvGqwNaeoMIaHrOqLIIqRHSkOoOiZ5gK8eMlOKtiu5Z7d8/st3eO3I80e/9w20DmjVIf/w7/wSf/5nfgqVhlS15fLD59Q3JanJaYuGgcm5K07o8jGVW1MXNX/5F/89msWWJx9ckokB+SghIsLUPYFSlJs1KlFkgwyrBGmdsFxuEEaRDwdARhj3VNWWojXce/EFFhcXpGONtBbbtXhrkWK3ke07R6wDnHN0bYHQimYg+JXf+g0aoFaKP/+v/CS/+3tvM9Qaj8E6z4qW2hlC47idZqw2NXEaEgYBdVtzHGTUdUePQaiOBy8cs2g2fPDsIfnsHu/8/jeZ5UPunRzxzttvc/dzn+e3H71LmA0pTU8qAqIgpPWeb85bnMqIii0vTnNG8RH1wxtmZsTy+pqcgCmSgRdkXhD1jolXID7pEbUW2zpu332Jq8s1whta6ZlNclpb0S6u6fqebJTSbdZsRIfKYtJw9/nBnbvcfuEF+rLm4w/fJ4oiju7N+OHk67RVzdWzc2xTMByOSbMhaZrSekttOmKVEGcpZblFKUXGFqkCHBJjHU4EGOvoQ02cDgiU52A4QYe7363lcsHN9ROaYstMS9Qo4fRogO1atFQ0TcNqMUesPH1U8/DhlpPmNtXFOQevDmkxWC2JswFKaTwWJTqMa7me3+BMyPXZFU25ROgx1zc3jKZT4iAjlgYEfO1rX+UPvvkN+t6S52OKbUnXevI8p+9bjDEU2wpnFX0/Z7G5YjI64IN3H/LVH/whtiyZzxeEsSLNJLaLOZiNuJg/QSceY3tGE812UxCEA9hX1u3tfar2Q+Te3t7e3meGkoo0HRKGoAJQ3iKMo+8F3gdICaHeDTpChbvNY6ex1n7SH2lROsRFmqJN8Fisa3HOYmwDwmP6XQqsswHWGbz3CLHr4/NIlAo/qQiRSMUnPX0Ka0ICOcA5h/EbhDAok+w+TlgCUZAlPSPZce/VW4zrG7rz3+WtP3yfLElpggmtmvCzP/5j+KYg1RnXT5+QVYrjOKV/7ik2hmGiOFtvcAo2qeUv/MxPU20r0tGYw9sB3aJFOEnftAhvKbcbgkijM41RhhZD0iWU65pYj1BKYV3H1eKSpt1wcufrPDp/yiAI6UxLaAzOW5QSSBngrKPrW2Klsb0l0YL59oYn8yuioxFX5xfk4YS3vvFNXs1u0RRbVBSyMhVSG5CGaa2JvUIi/j/27iTW0vS+7/v3eZ73eecz3rludVV19VDNZjdJcZJE0VKkGIoRO0hkIEgQwImcIAICB/EiQIaFsxCihRZBvIuXTrzIAGthOLJjywpliYoYjiKbVDW72d011x3P/I7PlMWpcJsdmQbPZ1OoQuHWXZz7ov7vf/gxjGKUgrnzSGDtYaU9dVtx/90nJGmE7Wvef/+HZGlKZ3v+4t2/4LXXXmHTrJkcH/Lh2UPSSKOswfYNfZZwTcKonCDkiqja0Mwtdwe3qGcLPJIyiYidJMWRB4EKnlxqYrU9QKOVpvYKU3e8/MrrmG7D7MP75NIzKMYEsc2vjE2HCmMG0yHFaIIl4J2nLXNC0zBOc146eYl3f3SfThhuvH6Lpw8fsycPsMuO+WaGlVC57T7keDjiejEn1RFFmW275FR4bxFxhkXhlcYLSbACs+6osYynQ4QSlOMhupiQvHrKenbF7NlDVhdzqr5Hum3ETaJjbr5+i9psCFnPUXEA0hOaine+cZ/916bIQjHeO0GnKTIOEHta19C3Dd4HJsMRk+GAeQjcvHkT21hilfOLb3+G7773Ef/4f/9HZJlGxzGr5ZrRaI/joxs8f/7RNu4j1eR5znJRMxjkCD3l+PAGR596idVyQxRFNHXLerMA4RiNRuhIkGU5SeLJyxhrO8oypa09u9zznZ2frF0RubOzs7PzsaFUzHhwA+M7bGgRQpOnYMQKlMRJEFLSNg0yxAgDXlogsKordJpQlkOSKEJ2irat6XpDEAIlI7x3RFGMlBCwaC0AhbMAkiAUTVcjBGw2DUU+JI5zelMj0GT5EGM8iRgRQiC2Lb1oqWRHgWKQKF6WlxzVCwb2ksPbd6hvfAklIqRtEKanDQ2iNcwff0SoA9VCclEprGmo56Aqh5cpraj40m/8q/DJu3TuKW03pwoVB4dj3LOaYB0OyAcpfWjpop5iNCaPCi4fPeTk5gQhLVeXj+g7wSi/g+hq2ssFY6Vw9ZIiybEyxrtAEgZIH2jdgr6vsXlFp1uSYc5X/uyPWG8g0RPuTd7a7o2WCWnbIZOYLgroEDPoeqbZAK1j1tYyKXLCZk0uArFQGGUQPkCfUcqSXKccH5WMnn2IGETkOqHTEefa8Z2nH3CQD0nykrfUlKfPlvhBTg/oBuLRig9XV3xgLG/GQz4xmWCvFkh6xtQMfEpqAwmKRETkaYqzkiLPSVxPCA6XxVyvnuMGh/S15fbdL3H19ClexuxPcg6PB1StQFrB5v3nhEVF8tIEUWjsrCFREhNJ8r2cL5x8nnW9pJFn3P7UlL5SPPvRNWKjWF40xMIyvt3gmjmhM0z27tAEyXxTk2fbMdBgDBJII4ikQKQaKSXohK5fbz+rvd++GAgZJj0kvzNA7p0SbzZsLs6Jsw29aZj7M6yuyfclney5cfMWIRbotOTordvUfYfrHZu6Yd0+YJomCBNIO8GfP1hwtrD84KJhvHdEd9UyWyw43Buz+PY3WFlDCIEkLdisK4qiwHuLdS1JmtEbsEawWMwJQbFcLxBB8vCjR5huu0cZQuDo9JCu75kcnICCUTmllXtslt9FYuhEw/7eFKki5G4ncmfnJ2pXRO7s7OzsfGwEAsZZetcRcNjgkCEQpCIECH7brdRCo5VASUllOoLfdhK9lwQvISjAbgsFty0chRME5YhVjHOGEDxxnOA9eOfwL77GdszVUpYlsU62O4fWEIIj1tn2qqXY7neJLkEIcN5g0VzMVnzx069i20ustFwtK0zfU9c1kU5I0xxvPRhPaxV9Y2jXnoQBjak4fOk2N/ff5vn1Q5bzHzH55EvMFo8IA0WUKMZHQ2zled6cM0kHZIkC2dP3c/aOD7As6azDvbZk1m/QqxzZRdye3ub6ectAbnc6YyVJ8yHCC4QHKQNdqFgvl5RFSjkZkAxT/uL9+3zl9/8PxoMpOiimgwl5XNL3Pdb1tH1HFEXISBDFCrvq0SJGdR60JMpTurqnQGAQbNBY0YFwJLZiMhizqnsmRy8zODjmrZfv8T/9w/+FkCS0ynHRWUx9xXAwYtXW9EKAlGRasJwvGRYlewdDxkvDMGTsxxEER+MDhUoYxQm26RjkxbajHCU4FEmeo5Wil4o41zx69Iwv/OIvUgwnNL7DdTU9nnVV4/OcpEgpZEzVVLRPLOPphKhItp8p61Cxou8NSqYUyR6268mLiGIkEWnEIC4xrWO9mlPmMS/duM18uSQqh9w4nrJazwnBk2UF1nR4B8ZDOtruTCIEMk+QSlH1LSE41us1KlG0zqB0TIhi4vGEdh3Ax5i6IU5y+suOTWe5lBeQS44/fZOuWeCjnnQYk481ebVPvVqyXNQ8Otvw/jPLn7/3nPH4JZbLFcMop0gHOAur9QqRJQwGA7wL7O/vc/fuqzx79oxHjx6hlGA4nLJZd0wmE9brBUWZ0TUtUmriOOLy8pzxeMx6veTk+A3SJOZ6cU2mNC+dfoJ35x/RNRX7d8Z0dUOZHwC7TuTOzk/Srojc2dnZ2fnYsNayXC1AOlQEOt2OsLamwwZPECCDZ5CVlFFCVzf0SuNthxSC4BT1xhNCixPViwIyQkpJpLbXImMkUoJUgb5vkVKQJBGw7XR6r0nSHK01Ssa0bY+UmhAECIN1PcYYhAikYoJXMUIWbBrDaHKXf/x/f5tf/fJnGLqcYWKpLn7E8ckUPTnBRBm+j1FSEiqL3QjEMqefC6RomC87HrZLLvSCf+O//Pd5fPUjxi8fYJYNKlaExNNHNSdfOKLUKX21pOkrJsOcPswJ0tE0HYM7KWLlMd9v2ev2uL78iHxvQu8dQVn63tG3jiItWLuGrjOYyEESqITj8nrGN//wHYSUwJCDwR1CqiiiAls3qL4l8mGbWxgCxjvoPfvRCI0mKzQulVzOzxjLhBxJ6y3Cg/CQyZpxKnHtmsHkLi4v+eTJPb76e/+EYxLWRjBLNHWwTIIkXM/ZD57eezadIYtStMwo0wGvjW7zRpqxt3LkGHSqaIgxbUehMyjAeEeS58TpBBUCKEkQEmkDSZDcyB3vfuPb3Pzi2xy9eYuubph98CFV23FYRLQ+0AnJ5OQA1Xu6WUWzadFaE+KIPpLoYYyOMzJdsGgvqNpzbr4yoFlb5heWyMW4swnORjx+dEGaaUba023OyfMxUkqqao0QEi+3I9TdZoHWmjhNEUrigyGJJUmS4GxN03cMx2Os6ah6RzEao/ZvQtdi6wWu3xBsTa4P2Vw+YtkumXct+pZgcmNAnTnqrqYIe/Q243zjaIspf/rBNzDZEatZTZKXrOc1Os1I44TR+AgSSV3XdJ1hOt3n/v37WNsTgufo6JQHD57gndrmSGrJxeUZWabxwTFbXCKjwPnlM/b397k83zCaDjC95Pz5iuLOKVk6pW0tZ2dPGA2P2WzWu3HWnZ2fsF0RubOzs7PzseGdo9ts8NKTFSlJorFdj1Iabw29d3gtkGJb4A0HKX1nkLKl7QxSbw+ShBAIchsHEkUagSIEgVKKWEriOMIHg1KCpulQUYRzASUCPgTyNCFNU5raIhEIEVBK03cNURQT4QnB0zuHMz0616RlybzqGO/d5V98633+q9/4PLo6Y0gFwbBYzmic4tXb97i6usKawGR8wGblOTo+oZ9VrDZPMInhlXu36Jpr8kJzdXXGjf1j1tWGEDzJSFHqlK5qWGwqBnslG7skTiUiiknSCF87TG3xOOp4Rjvu4KBHJhH9vMdWBiUivOy56K8ZTsaszpacntzkw/sP+fPvvIPUJW3r+dLbX6beNMhI4jtHLDT4hv3pPlUMdV0j2pYiLcAHrq6umBxP6ZVF4pHeI0VMJCOE2VAoxaWr0GLAvVdf41mleePNz/LO7/8+b5QFs3XNma9wVhI5R2olaRCgFB2SYBvGyZBNU+Fmay7XD/j8jU8xETlKteADQmUYJZmWU6qmBrm9rOu85Obtl/HWsV4uGU9KlrNr3n7jZe4/+pDLizNuHt7D2I5br73G/e98n/3VBm80+fE+lemItGa8d8j66TkqQJCC+XzOUO2Rqphq1bGaV4jYML9eUQz2kLnBI9HrjNV8SfZi7/b66pK9gyHGG4RQ2yvDSlI3DRYBxpCmCca+eJEhwBtLRyBLNVpE1F1DmqaEwYDrq2tcGTM9LomsZHbVoeMBTloG/i7poCceS1b9FY8/XHO2es7ewZS+v+ZyNufxvOG98xVGD4lHh8j+Ch2lYCGLUspijLENq021zWM1jvfee4/BYEDft6zXa6qqoizH9F3g+fPnaL0terMsY7PZ0LY9WscMBjHOBYZ7mtX6HOMNJ4c3mS+fMZ5kXF71mD6ibxvKbIrY5UTu7PxEid2bm52dnZ2djwMhxLeKQfbZL/zK26R5QhzHlMMSlETHAU8gGRTkZUme5+yNxuRpxvW6omkanIeqbXA+vCgizTa2I4oIwf14VFUHgVIChMPaHpAkcY6UEUJD37eoKCClpGsDddVgfIN3kijaRokURQrC09URvd28+DolwUWkhcVTMb54n1//8uf5hXuHrM4fEvseFQl827FYryiLAdV1y/k7M4ZiSvw04rra8O7mIX/zd/49lvY5VkIc53S2QQhBlhVgHM1sTbAOXWqUChjbbgtuC13bM2mGSASbxZzVcslwMGa4fwAywn/YsL5uCCvJeHAAKB4/esQPvvpDvv+9d9jLjxkPD8jTKZHOyKMI4QXNZlt4iuAQOKy1+ExhraWuWpTW21+VIqiApcG2M6ZRjLICGyU8Xz/HpjHVMObt1z9FZjTPpoIVRgAAIABJREFUPjpjMJqSzy5YXT+homKOYxklSJnipCTpe5ToaTRcOEFrAmWaM9k/YPlkzt/8pX8T+3zG3du3ef/Bj8ilZ71aUZYlQkrm9YbJwR6RyhlM9lj1lizL6NZrEgJlErFpG8gll/WKl1+5R2thNJzw4Ov/khACg4M99Djn0tZYLXnj+C5JmvH4ww+J45goT6m6loOTPWaXF2htSUuo2jUnr93i4vycxZOEIipZPl2QpxlNfU02iBHJ9vOelgO6vicfDumtY728IElThuMRje1/3JEUStJTI6XE9A4bYDFfopRipTZEGp5dfsCPnr3PJ7/8FsOjIbeHr2OC4fH1A/7n3//fWHUVtTf01pPu54zHU/ZunPLkcs7D+YbnV0vKLCdLCjCCYjBAZxonLULHLFdzkiQmL2IGg4IQHL3paOqWKEpJ4pLFYkEcK3ywqChGSslwOKTrOrpue8FVq5jhuEDGEMuctl6wN1ry8NH3efnkNidHr2K7kv/hv/tjnjy6/nYI4XM/zefUzs7Pil0ncmdnZ2fnY8Maw8Xjx8RZiowUxbAkiiKiCHQSc3g7wefgEZgAXQjbrqLXzBerbQGDIwSB9RFSSUCgFEgFIXh8vy0yhdweKNE6QYptxzJgkcGD217g9MahEJgQIaUg1ul2JDbW+GCwqkc6ixAdto/xQlJ7kDpG3/o8v//ONV/7i8d86ZN3efMoQ2NYL58y2DvdHheJJS+/ccj5+1e4xYYsj0EGVtWcaKyI4pT1qmdYRHSdoas2+M4hvSAKij6scDagtcL5gO38tuNXRtSmxh0Hyv2SYTpl/f6SKKRsHi2o5x3Lpx1ff/xdfvjuBzgCJTllNCSPcsbxgEExZV21EBqUTtGxJE0yhFA07ZqDo0Pmy2vWq4rxdErTGUzVMj04QrUVlfH4PmYap3RtRx8CgyxFHuwhx2P6aIBqej55ckq3XrKsWibFlLqxRDKQ2phCj+h8jfKeXEpE35F4KLMxiVKsnz3jjZtvEHrLwfERT1aXpCd7qE27jQNJUnQS06mIwWSfer7h4ePHTG+/zKxvGY9KpDVcbhaUeYq0hrHQfOtPvsq9n/8Sz66umLx1j0c/eJeyammaDa+99SrPlpecrS6YhhGTwzGbVYWUMJ4M6c2SLI8p4jHr5YxIp6yvzjk8GnD29JJhkTM53qNaVpTjCca2mGaFdRqVSqI0oekaUJL9vWOqqqKpDXGW4Rw449BaIjOHVgrlX+wCpxlV23KnnNLTUt65y+d/5ef4b//+79InjuTgFiISLKo1z7oaoTPWJkOkmsQL3vvonIO1Zbq3T13XJArieHuESkaS4AxRlNA5h/IwKEc4b1ivKrIsoetrZrMZUijyXGFNxXA4RMpAVa/RSU6appxdXHJwcEAQEcIYgjHcuHGD73zvOwyLKUcHQ/r+Gq01q/WCNL7m1ukpIfif9uNpZ+dnyq4TubOzs7PzsSCE+FaSiM/evJnTtwpBDEjiOGaUS4rpgFe++Cn2Xz5FKcGkLFDBsxZiG3be9Hjvge3vVarBeZJUY/sOiQDh0TEYY5CR2HZ1gid4j/eeWKY/zo90zlHXNUop+qCJoog0TrbjkkIQScn1+hznHM6CkgmECCm3FzV9JBkVGeNckkhHSiCNNV+MPZHvyPoN1BWbqyVapHz3esogg9X1t/hX/vpb6LFHhYZRnFHJArtx5H5Iv2hIveDPv/lNPveLn2Mt17QHHau+pkinJDbHr+fsDfcRVxH1uzVn96/4/p+8y2a2Qc0CTRBoHyM7INLMu5o86bh5eIvD4W2adU8ymBAlKaavaLxB6Ji4C7iqJ9uf0itIlcYa6Fzg6fNn3HjpBuv1imjxiHq2ZJKkpEnOSkN6uMdXLmv2xmO+8InXWT74EN12THRCV9XMnz8B0TGvztFpTuUSBqND1vVjlAtoBxtbcUVPoySJz0Bofv4Lv8zNkztIL6Dp0SqiMy2YgDOe0WBEZyyRilmFmnSQk4wHrNsNg0EBzhMvW+bXM146PcX1Hc1mzeXFOSeHR4jX77FsKn74/n0yZXllnDBOJBfWYr1nPB1hfUCqjK6z6KFiNBhSL5boWFF1Lau+ohgPmZ5G/F/ffodjd8y4K1i3inkEJ9EYL3pqe45XlsMbh9RdiwoJUbQthuu6xjuYTqfbPdQ40JuWLI8Qwm1zU/uWVgokgqbfIEtFejfng+sP+B//5E+oreU6BM7XNU3Vsp9tL/K6gaDvPPrF4RtrK5SStGL7M5gkCcPhCO9guVwyngyZLWaMxhmvvH6Xjx48JE1zAhLTt0RRjI4SAo4klUjp6ZscHwx1s+L4+JjVskZKRdvOyLKMiBgdgach1j3Xs3MOBjMGWcIrL32W3/3t7/Ho0XzXidzZ+QnZdSJ3dnZ2dj42fAh0Zjti56wjTXKMc2y6jjSUCCVxzhGkxHlPCNAZgzGWvjcvMh8FSZIhFTgc+IDWGvx237Ftt2N0UVAI65ESIqlQcrs3KYRkewkyoHXyoluZbcdhAwgptlmR1uIdSBGh0xjvIIo0kdpe1EyyjFhLlJJ474myFI/n+5fPUcJSBIMOAZnlCK+pxgKCYe/khNhnrJ5fcftoH+ETzLOO+XnN4/Nr6usNzdWCYHrazwWK/SlX64cc3DxmeVmhgiFO96g7xZN3PuTP/9evkS5iomtJXlk6q3AEmrbidHLE09lzhoM9bt+8w/7wEFMphNIIoeidBSHJyyFGBHzfElTAC0/V1NStJy9GdK1hkBXYtiWOJJ0xjCZjjoZTHjx5ih+WtJuGtlozvnnC1776VX715z5D1PaY2RIRJEWWE1Csag1C0RrDjfEIY6+IkajeYZynjBJaUzGd7rOpG4bjMUiFQoEWRFKAzgg2oInojUUqhSdwcvOUx2dPsVpig6Wua8aDIVHiGe5NmK9XDPOMpMwx556L+TUP/vRPGO5PuXFyhOg29Lail4IyL7HO0DYNKooQ0lGWBXXoWFcbkjiGEEiShFwCPlCbml/+13+dj/7wB5jOsL9/QESgXVWUgxTbDohzyWK+4ej4AOuhaTo625PkKZHSzJazFy80BsQ6pe8ahLRIJVBKM0wS2rphkk/ofM3i6RX7kzF/6fOf5v/86lfpq4ZBPqCvGnpriaTCGY+1njSLWK8rslzhvEenmqpqGA6HXFxcoKQmTVNmsxlHJ0dIZXn+/DkHBwc8fvyUOMmIlMLZQKwVdVXjvSBgiWSMMR1pGtO2NXEckSQZ3m/IsoxqVaGURkVq+zMXJdS1h+D48METnN91Ind2fpJ2ReTOzs7OzseGENv/CEdqW9Q1bbUtACOJ0xGtsRjnibXGyGiblWglwUcoyTa4XevtrlWiSHRMnETYvsN0HdZY8ALfB0xnX/x7CuLtvqSPAkoACGSkKdJs+31F2yKya1oIgb7vET5QZlO83xaiyUCjlECqbScz9C1RiHB9RJCSTbeNGzkrihedTkPXGQbjkigopHhO8JL8rOO9P/iI4XDINxePOBgd0l1GlMkBftaSNFPKzRFFnvIHv/dt/vJv/Bp7g1uM2gmynhGHhOYbC/7FP//n2IuWcl3QLwxN5QlB4VqBTQPZ0Yin12e8dHTMyckJKi5ZN45cD8jHCh8USawIOqcLjniUYYQkzmJc7GhNx+Fgn8ODE771re9w8+QGUgWquqF2jtHRASak7N9+lUUUcf/ZQ4ax5dH77/BXvvxrxF1AeU1wGu8s+WDEg8cfsL93g42xTAc5XscM4pLIgwzbju9gb4C5eIbwkv3JMbdeuoszEbZ3ONFs4y7E9oJuPpywXm8QzlNvKvxyyd27d+mEZ7FZoiKBiBQ2jXDS42TAFwmuC5y+fhchBKtnjzmalkSpRhcTrp9VvH9xzuuv3CZLMkzoqHuDl4a23jB9+SbVek1dVSghEQIGWYl1jkosqM/v02ZzhEvomisyBtj9wHqzpjOKYXpCoXvqaoVKJeVw+xkMIdC2GwbjjL7vmc+XSAl5oQkekhc/N8Fa0igi1hArjYhSZBD80t0D/tov/Cf89t/7e3z/fEaiAlGeYr1EhX4bpeMVeTbCBUPTbihSKMttpAuA1pq6romTiL7vqZsFJzePubi4IEkSdBzTNZY8T1ivaqRSzGYLptMxPnT40KJVhHUNe9NDqqqhHAzYbDbEqUZpSZJo4jjmMMmoVzFCGjqf0hv7U3oq7ez8bNoVkTs7Ozs7HyMCIRVIgQgSHccIGWit2cZIBEnfe4QM9D1YGwjh/w0h98gXXcI4jhHBAeCM/fF4qul6nHO0bYttDcF54iSjnIzQUUxQ231KKeWPL7tux1UDSkkIEucs3oMMgkRnWGtJ0ogk3XZcvLdIFaC3TIdTinLE9XxO3TcgwdoYLxU+jkB6nBRgLW8NM8T1ksHSkYeUgd7Hd2PsqiTrI9pVj6sUpg50a6ivKlxR8Ef/4Nv8pb/6ec5+eMXFk6dcPX6O/nrFocwx65jzszmV99gkxUtJikQOJFXo0EXEm29/Ei0Vi1UgzyLwGmM80+mIxXLJ1WrJ6Su3OKuWDPOE6cE+37v/Dq+/9Sbh3HH//g+589ItyqJgPjun32w4vnGTcjDiw4/OGR+dEA9SjuOXSdKKp4+e4duWRA24uDhHtZZYSubXM4RXDIZ7hN5w6+5rPD6/pIxygrFEWlAQIZOSOMSIICmzkiwr2HiHFR4ZJ2SjEUFZFusVJlVkyQjltgXTdDplvl5SB0sURXR9QyMkaZYy3hujAixn1wQZmB7ubQ/AfLjh4tkjjm6cUI5GnN65xUWecn19zWQyJhumGOeQUhIEnD09YzgqIdKUg4K2rvAuELynNS137hxwfLTHB197D9M3jMSAC7smSUuyZMwHHzzk+GSEjBxIg4r1i4xLSaoSmqYmz3OcBCkFVbVCa4WU25cwouiJtKSjoZym2OBoQ0vUrkhszm//53+L3/o7v0PTWTw9UZyhvMIpcC5gvUNIT5IW2xcsSMyLvcW6aomiiOGo5PL6klu3T4DtjnGSxDRty3i0T6RipIhpmorpZJ/NZkEUSeJk+6Il0oInTx+SJgVSSqbTKcvVAhGp7c6xTkmzGOVSrs4f8sYrLxNFT39aD6WdnZ9JuyJyZ2dnZ+djJQgJEoIHoaA3HSpS1HWN7SwpMc5C13p0kqIkWNcDDucNiIAPDm8Cpu/pm5qubwjO40zHer1gOV9SX6/ASvYOj0jTgnSQIXSM9x7nISBwflscIATGWLquJzgPL+JCgrPkaUKWa4S0QCC8CEXXg5goirAGnNsWt95bMq/xUkMvKOKYwfqCqbLcvHzE7KNzbkY3CC7DrCUZB3QzQ5IkzJfXVOs1EgVSsn/jiC8mr9GaDe//wwfU62tstUG2ku+va4ooJlyu2dclbBqMdUSx4rtlx+uffJXjACdRweX1FTotSOQE40BoSZRojOzJSwWt5fTOKfOnPUd7x3zzj/+Uu3fv4UNEMirRswU6zVBK0FUbquWCl++9TaQy8r1APBzx8PoxyTjju9/+Ov/xb/4W14+WRCFiOtnHrGZ401P3HS+/do9Vb8nzEaYXTMYH0G6wwTAejWlNj8hijveOeTK7ZHL3NeI4olnV5KOStq0xMTgEJo/RB2PapkEah7Mt55eXRKmmKAqccMhIIIWgEx4VHK43NN4yGOTMmg04zxd/5Uu8+/3vEytL366JBiXJZEhcxDy/PudAjzG2I5GSZl2jxmP6zYZsmHO9mRNHkuA8QgrG8YTF2TnJScTpXzrl+VdmNNczhskAKRXLzYzT0wFNV2F6Q5GVKJ3R9Q1ebA/dKN9DBEUZY21PoVKiKGI2uyLLEtSwo6djdBKztM9JDzRKBiIGyDiwmT/hv/87f5t/8I/+CX/wrXe5mgXS4Qgl0m32aZrSuY40S2m7CpBkWcbZ2RmDcoRSisViQVEU207teoUQAmMMcRzjnKUoCrquY7o3ZrG8ZDqdMhyWbKo1db2inm84OjxFEKGTmMVqiXcdxgX6vqFpIl599XX+7Gv3iWTLD+YP6Rrz03ws7ez8zJH/339lZ2dnZ2fn/z8ECoFCKYGQgSzbHrvp6g5TtVTLCmUk3gZsvz0u0vfdtlAMDh8MPvS0bUtVVSwWC1aLJevFkqqq6PqKuloxuzxncXXJZrlA8uISpdIIGRGQBCTOg7Hb/Udr7Y8Dz7XWaK3Z3xuxvzcikgKtIiKpkUjwEOmEtuvpe0uepNuLoxpCJLDeILCY5Tn7bsbe5gFXZx9SDhV6EmNKRSssq6sLlk+fcnZ2RppnTA8mOGm5fe8uJIr16orl7JLqak7Y9NhFi1k05EXC+eU5xShnRUc3iLjUHZtpzP6vfopqJIkzxWQwZHpwjB5M8N6jtCQf5GTDjCAsOpO8+Ym7fO9732BVrfjaN77O25/+HDIklNmEp5fnDPf38VKAFJRlzq1bL9E7gQ2KbDBEKMlwkKGl4W/8jf+A9XpD31s2TY31BkOHEz3ldIxFcHhwwuNHz5FO0qwarBNk5YigYowXxGlJkY8I3vH87DFPnj9BxQJ0QOcx2ShHZhmj/QMqbyj3pzTeEBUxaZpSliWeQBzH6HQ7gum9R0aKzhqUjrDBk+c5KtZU1nLzzk0ePXpA26/JpwOyQUrIYsrDfX7wo/tYb+iaislwgA4O127oupqD4ykk0PgGnUeoRqG9pKFhJhb88PIDWlFv/9wIsqgjUmuSDA6Pjqhby3LdYr2gt56q7UjyAuMDkQ4kaURRJFjbMt0boiKBmQUSV2AqSxrHONMggkVMxnRphNSBZvmcf+3Ln+EoDbxxqhgOcvJM0psa61q0VtR9Tdu2SClZr9dk2XaMtm1bRqNtMblerxmNRj/eEVZK0ZuaBw8+oihTjOkZjQYgHH1vcdYzne4zGe/R9xYpI6J42y0djErAk6YpOs04v7zm8uGc9XnN4/eeYvpdEbmz85O060Tu7Ozs7HxsBAReAEoSAO8hSTVZVGCM4ezxUwIRTW1Ix0PyQYnxG7y3+NCB8Kgo0LY17Wq7g9jUm21MQQAVCUJwxBGkkcJZSywFRZpRlDlVcHgfCMEjxHZ0dVs4+h/vWwbnkXLbnSnK7fXMpjXg5TaGIERIAUlRoqOSat7Qdi1xpADDMvb4WGL6DXcONPbhh0TdFac/d5eT6Q2ev7+kzA64frDCLRZMSblc9UzyEXsnh+yN9zl/PqPrHLPr++R5hglr1strMidompqXHq359P4eT2YrzjPPbC9jfe8ubpgSkgauz/nc4T3MrMW7HJ+mjIcRTghEpre5fkqwWcx4ev6Y4ekJ7z98wM/d+yw6SpieHvLo8VOK0ZhgPfuHB3ztj77CMAl85tNvsXKBq/mK4+M7PD9/hu9rvv3tr/ELv/AZZs2SJMsQ1XYvMVMO63o+8/OfZ3FdcXm55uaNWxTZkCQbsHIbfIBsMMRKSZxknJ6+xHtP72P7juGowMUaFwzpIKc2DSouaTDoIqfDcHB6xOZqjqtbVtWGdFhi/DYrstlUpEWOlJLBYID0jvVqQZTnxHHMta8ZFiV3X7vD8+dP0ddDdFmg4iFH+T5pJlhcXFCIwHo5x8cxSZHQNGvmm0A+yImyiK7tGJmctlmx6daow33+yr/7V/nh771Dtgh4vSGdtIQo0NuUqqrI8hF10xAaC8KSZTGdacmyjLZb0ff99nBPEdN1HVorDrnL4vI5vTXUswWTuzneWpYHijJOSOnQkSMznr/7O/8Ff/jHf8rf/8qPCNYTxwrjDVopnHFEUUTbti/GWqGua4bDIcYYetOzWq9o+pokzRiNJszmS6QIvHz3JeqqxbqOIDzOdXQN7B+MSTPNeDxFRzEPHz6l6lr29vZYLs4ospS6bUgiyWiYM9IlvlkSjCfsViJ3dn6idkXkzs7Ozs7HhmCbfxip7X6XE5rQezqz7exdX89BK5LlJdODKW2WUAw1VllW/QahQPQCbxy2T7ZRHjJBAlIFvNsmIkYakqLFxYaDl44ReULt3XaENkjiKNleeg0SQiBIgxQR+AgpwfsepcA6Qde3REkA0dL3FqVikjija2s6t6LtNhhn8TJGyJSekrS64nb9gC+UJR+e/Qg3LlFNx/5wQJ91XPzoA9xaIfYzkr0jPjkYs15tuO7mdM0GE2Zczp5wuD/k+uwcWTnGuuDZ00cAFKcDvn7+iPLNN/mwWtMd7GGzPR4+Oeez1xf8W7/0SxTnAUVB17bkSUem91ilnpBC2UN3PkMIwfUo5vjmMb9++jr93OGs4nK5xIqAbw03x1P8+SVvnByTltt9T4fgel6TFQuCWBPLhrvHp/RnC8qg8KWmsRXjvQFyA5tNzaxOCcqTpRXL5ZrIQ5aPuFrXFKMJVqboMiYtMxbXV9ywKa5rSUeKjU1QPsEIQzxS9KYjeMNiMWM6GkOR00UWrwVSKISvkcExmy9RSUrkAr20ONOA9xjvqDqHEhFSeGwakx2fkvQ9dr1hojVnhcMFB9MxeaK5/OghiVCodoH1GcPhEL9a4qhoCsvhmzdYXZ2hRgMKGaGW0CdPKX7VEP7sKWdPrzmubxKaiPE4x8c91bxBSEiOp6xdT+scdtUR+QSTZkRxQUuLFx3JuML0a560zxgclQiv6JaebuYZHA05NoJgDUQRNolJUoEKDX/5y5/ln/3Lb2MGI955UjHav4HzHamUoDOapiHSMcvViuFwSBCeRbVgMk0pJhoRMpaLHm9XNPWaw5Mp682MshgwTiY8e3bGYDCiVx2d6SnKKY8fP6UoErIiRSpHW69I0xipBQeTKU1t8KqlDpaUY5RrINQ/3YfTzs7PmF0RubOzs7PzsRE8OCtfFH8SKRVd1yEweKVoNx3VqkXFksX5kjzPiQcCmUhCFl7kREbIINGRI45jwCKEejFuJ0iylL5vicqcT7zyKgcnN0gHBV4IVAAhwXuPQKCEBAG9t1hnEF4QSUVAYXqwZoNUIPEY0xNJQQiWttmAtwQpsEicUCgv8dZyMzxEmwWv72s+uv9Nbt09pSwz8ijj/rvvsJ535NMp2TRjWhyRxRkXF4+x0rKaLVmez9jLC0S1hIUj7luW0vDENDwfVehBzgex4sYXf5l/9ugx63GJbh23nhm+wAH/6S98hrBpaBrBYtVT3LiN1ZYWtl3WeYNte66ur6kywad++efpK4NzbnsVt+4xm4Y8iogKgbcdF9fndF3H3ds3MFJQnV1wuneIIjC7vuTBs3f5rb/1t7l4eIGOYpqqRQaJR9GagEMjtcTagE5igvBYb2irFUIm5MWIwWjKfLnCWsXB0SmPVESPJ84UcScRPiIqFJt+jeglOtbkeU7nexqnEblGrME7S2e3OaHD4YBN22J7g7M9ZR6D95TlgMXVislkiDfb4scjObxxg+unT3l6ccHBG6+yMi0hjRDxkGPuoOuOi48+ADy2bpGx4vpizvTNA2w/Z3gr53p1iSgi0mGB84Lju7f44Q9+wNHeKcvvtxwMbuB7mDcrkiwhU5rzDz7g7uv3eOfdH/LKW2/y4NFDjoohLkCcBLrY0ErB4OCUnHcpCo3tYOY7fJRzdb1AxIFilKNkQPgencQI6cjThL/7u/81/+F/9t9wMDmiDz1eCuKsQMkYKSOMMeztHWyvHuuYOEswpiIIWM7n7E9fYr1eMRyOWS6XZFnGVdtijePk5IT1uiKIQFmWLJdzPvGJe7RtzXxxCSJgjGE0zqmbDev1mljnGGNYNRW9gxSw3v1Un007Oz9rdjuROzs7OzsfGyFAXTn6TkBIqDaWvhM4A21t6GtPNWtZndVcPLji/KNLlhcbqqsGWUfQKYKJwCcIoXDOEGlB064QIuBcYF01ZEXJa5/8JEe3b1HsTYmShCAUQmwvs4awvTgZx/H24qWQCKGI44Q4TpAi2u5I+g22X2O7lixJiKTE9R22rwm+RSiJSlK01hTKcJA57omPeGtwzfUHX2Ov9EwOSpJxyqpZcXhzyr3P3eETv3iHyZ2EXl/z3Q/+lPX1NVcPnlA/uOBYFjRnCxKreb9d8SizyF97nejffpv5X3uZ935pxMVfv8s/PV3w6BMFq6zjsy+/xM9drvl3REnVLrlazDBSM9q7gZQ5RbnPWltM32DOrlg8e8745JBOS4wJ/MW773L2/ALb9cSRpsw0gywF02L6GiMCkxsnkOZ8+Oycpx895mgyIY3gYH/Eb/5Hv8mDjx6QJgPquqNMc4LpcdZSdYZXP/E2TgaUloRIsOkqxvsT4iJFxhlBJcTJgGXVIuOcdWOYHuzTmQ4yTZCGOJN0fb+NhHGWpqkwricfFCyqFUZ6dKkRsSRKo20XLBLISLJczZES2rZBJxFVUxFlmk1XoaIYneV4KbFScXjrlDYEVO+JgsTqCDHMqAmk5YBXvvBLWLMtjIokQtiWen6G2VxwfvVD4pGlFQtqsf5/2HvzGNvWtLzv9w1r3nNNZz7n9r19+/Zwu283dDc0hCm4FQKOSYyFI8UhNk6UBIhMnERRojhECSSRiKXEJMIiDlhxFKHgBAshG4c0BIOhoefh9nDHc89Qp+pU7XmN35Q/Vp1D0+4OjUHXgt4/aWudXetbq/auXbXPftb7vs+D0S2Nrnnme97Ecrok2y8YXb3G8b1zJtN9nOxouhVXhgNuf/TjzKKI5eKMj3ziY6wTsENF7VuEEMzvzTHnFjkYUWsQM7jytn2G1wLjKxYhGsrVOb6rGeUZwbQIGppyDu0xf/Ov/zW0WZMog4wUVoK1nqbpyPMBIEnTHO+haSuKomC7qYl0wXbTXMwJKy5dOiRJIqztGI4GWGu5du0Ks9mUONY0TUXXdZydn2JMh7WW2WxGXdeP22aNMURRRNOUyETRBIeQ4p/pe9OOHV9t7ETkjh07duz4Y0MIoW9jdY7tdotzjhBC3w5KuBB5GiEUbWXoaot0iljEKCeIfUQSpQjR//fnvcfYundPFQEpJXmSMxyMGU0m5IMBUsfoeiC3AAAgAElEQVR4DwqF8AGFQAtJJBVaSPSFgFQyIoSAtYYoDkQxGFtjbAtAEhcU+ZiiKJjNZgwGI7wDIQOphiKsuJyWTOWS8uQFnnnDFZ5++haNabDB85a3v4V1tabDMK/OWW0fcvrwLoMipX5YE7WKsHWsz0sWZYdJco5v5Dz1r38HL1/1/L/tKzwfL7hTtLywvU0dlewXmqezjOzkAc8djNAP78K1Ker6PvHBBKsV9WaL7gzn8xNCXTIpctJBRikdl25cw7eWW1dvcmn/gMlkzMOHJ8hIUXcNg8GAxWpJPh4yOZjSeUeap1y7eQPjLFVT4ugw3rB3sN9XM2PNcv6QOJII4emCIR4VqEjjZO/Ie3TlMp01KK2J04y8KDB49vYPQAriNCHN+/xEdKB1JZtyiU40remQkWYwLojSmAAkWdzPtOYxVlhEDIvNnM43+NAxHhRoCSjYVBuEFhAJggaPwHmwIoCWdAImh/vcuX0X1xlSESENvatpCJzdeY3p5UucnJ1zcvIQJSXb+ZJuW1Gkiq7ZMhhmmHaL8zXW1azCiqtvvYzYD5yev8jkYMTDB2eMJkOElLjQce36ZartAm1b/vS3fzO/8Bt/n3v2jGrkWYQt1y5fYXt6zupUQRhDHEMCPq0I2ZYkjSgGGUJFbDYlnXWU5aafVywXNOWSCI8KgabaorXGOcNwWFBVW6ztMKbFOcNolNO2NWnat31rrZHKU1ZrzucPsdYSxzHGtCyWc44f3Kftas7OHpLnOWW54fr1q0wmE7IsQ0pJkiQopS7EY2+KtTcdU9c1ddNceB7v2LHj9WLXzrpjx44dO/5Y4ZzrnUIvqhIATvreaMc5vAvgBa6zGGMZLBXSduBiBrMJrbHIJEMQQDiE8BjbkWdj2iZwMJ4yGAwYjgZ4BHQGAoSgSOKojyqI+nxI7xyEgBIpQQak8BAsKjboyPdh8lLhrGSzbHtzltEIrRV1aIkST9dsiFhzPV8hF3dQes3VayO22xVyC3FRoKOI5196iWKYY6Rhs1wRiZTqdImyhrOzhlGUU6WeVdzyKX/Klbc+yei9z/JLi8/x2fXnMakj2Xqi2vPMRjAMCaM7nsubId1yhXtmj2vveSenqcfEoDuBiCXdcsGD2/e5sjdCbDZsty3tMObwrU/x6t07yGXF/nCC7CSvvvoqh1eOqLsaqwNtK8hGM7JhSjrKOXnlJWbjEaMr11mt18hBxPzegrat2W5rRvEUHWA8iNmuFkSx4uDyPl66/rK3DCw2awaTIV5BlMQUowxHH0+SDBLariSNYw4PD/ns6YsQeZJc0ZV9/mc6yIlVROcs3hiatiISMEgTXOcpZkPq9RwZK5qmJiAo8jHbct3PaGoBUrEtDVmWsVmuiPOIKMvpbEOaJKRaESc59+7d44pUGGfJ0pSqq0guzeiamuHRIUIZzk9OmV0fkPuc+ckxaqyxmSdJI2yzIk8z6iBgZCkP53g0w+aQQVtw77XT3rV0EFG2DbNLIxZ3XiRLIr73T38Lv/L8b/Gx489z88YNvvtrvxnXglgGTto52WXH+FKKSugr8x6QEi8UyWBKYyoCsKpWLFcbyq4i1xovNS5P2W7XaB3TdlvGkwFt29IZj9YapEUrh/SSNB6yWm7ZH+cYV/et3rYl0glVVXLjxi2apgE8znkCvZHSfD7HB/PYECiEQJZlpGnKaDjrs1qdQ6ORaYpg88/k/WjHjq9WdpXIHTt27Njxx4jeCdV7C/jHN68CTnpMsBjXYb3BBodxjqYqsaZFuoAzts9jfGTlKAIBR++u6kiShEkxYlgMiJVGCYlEIYJE0ldAlVI45xBCPI70kFJf3CQ6EkSxJ049cRwzGAzYmx0wKMaMRhPybID3AWMCzoLAgymJzTkDVmzbDQ/n54z3Zog4ZjyaMhpNuHLtKnXbULcNpnO0tSEVGc28JttL0RNN2FOUM8eT3/Uc3ZtyPnf8Mp945XmUgrhrOawEb/ZjZh8+4/CjC955knFzkfGNb/16XhaW9VOXSaqO/XTAtChIYslwknHjDZeJjCUXmi5YosmAl47vcv3mDWbFBLNtCcayN53hCER5ikwUrYPFZsts7wDvPePhgPPTB8yrLT5SPFye8U3f+k0E4SmKAvBst2tCsKSxxAfDdDpGpRovQCcxiD7mIU37/EMV9bmhZVNiTIu1Bh1JpNYkSQJpH2pfVluM7wgh4CQYHEIGlJBoqTB1316MAh0rdCQZDHJ8cGglkLJ/vdu27SviEqQWJEmC84Gma0H0USZCK+K8YG+6T3O6QpcdbVkhk4gSS6MCB9euglA8ceNJXBN4cOeUYZKTiIjYK4KxRCIgnCEOGhEFpk8MUQcBmTvSSDMYjNluG0hTbCKJUsnV2RBVlXR37/Du595CMw58dP4iP/OBn+c0rtkbxPi24mDvEOdjnB/j/T46jtBJilARdWtROkbHEcPpjDwfUFUV08Go7ym3hkv7e0RRH7XTdQ1SQhT1LeLOdwjhLlpTG7I8pqrXhGD6H5GUOG/Y29tjuVxSliXOObI8IY7jiypl38razzGD1pqqqjg9PaWua87OzsiimFgr6qp6/Le4Y8eO14ddJXLHjh07dvwxQhC8J9IaKcTjD5iqifosP8CGPnZDKkEgMF9vCRpECrZyJNEAbT0qjnC+RuBQCgZFzt70CuPpDCEESgWUUngPzvattFJ7BBpnFVLIC7OXDi0sznUkiSBg0UKh0FjnqVc1WZKQZQMQiuV6Q1Vtkbom8RmOAbUUzNN9XvzEhvc/e4nRlZynbh5RVyXSgRIxpRhydCXl4fF9itmYs7qmuTpCHl2mOhjhRkNemJ8yt5YlEhGnbOpTJtkEf36P2Ke8w93C/urneGO4QhJnDK5eJ2R7HOvA1733WVrzKnvjCa+9vKZbb5gNZ+hMUDY12fo2bTxAPXUFPT3gsvIsjk85UFfJ04i6boHApBjRti1ma/Cu4snnnqBzW8x2S7vt6KwicpY4dYi8ZKlKrFK45YbCaJI8onRbRsHz8M4Jk1vPsJnsMUw32JOWemuIboxxcYbtPCqGbD9BRhFRCcLE1EZiVMO6rfGff41YOSgyWhsj6pTELsmSDGkUvvOoYQSxwAmQUYbXgrSIqMslxXjEpi1Rg4RFWZNlCcG2CNUSsETjMfV6Q6YzEBYTOgKWOJbkB2NWDyVeSgge3zmkgDwf0rqm37+4T4Ql8oLlvY7JzQFJJFgFw2j/FqtNw6hbsokXRIdHzH9nzfXizZy5UzI1oPOOemGJkxGzo4z14DXUxGJXc/yLW/6d9/1ZfuEjv4G7MeRHf/vnOKwbvu197+HG7Bax8XTdkqAdbafR2iNEIIkkpukYjWZ0XUe+P2N/b8T/9L/9JsnBDYz13FlsGEcRpvWIOKJpao4ujXEeksjSth2JLrCmIooUOlJ0XUAoy2g0oulaZASRErR1h3MKYwLWNnSmnymWUiJ9RRIf8GDZUDYbLu8f8dTlr+Mf/fLv4IxGS0Oe7uYhd+x4vdlVInfs2LHjqxQhxF8QQoSL21/+Mmu+Swjxq0KIlRBiK4T4oBDi+36f836fEOK3L9avLo7/rj/qx6+1fpzNKBX4YPHB4rx5fLOuwzQG0zi26xLbOpSIEEIRRb25jhQRSqbszQ7Z2zvoHV3jGCllb44TejGpdX/d1XuPEOLiuQaUkkjl0BEo3c84WtfPhxnbIkRASMd2u2K1mrPdLjGmBSQBi/Ebal/y6Rdf5UOfeoVtdJnRjXdztx7z2jpnES5xe5MxX1juPWh5UKU8f+64LSPu78XcmQleiQyfquY8DLBoIJMTRmqPfP8S6ywjj0Y8F/Z56q7l3TeeZn9vxPUbl7C+Jpt4smGHlyWd3fDiy/cYDMYUaUZoOyLn2Zydko0PaYGbT9+gGGuEUuztXyK5yO4bjApcsCzXC5CCyWzaV5yco6lqmrLk7OyUg0tHICyras37vv1b0FoTKc1wOGQ0GSOlJI1ihNQkowEqjtisl5w+OEGJ/jXZbDZIBaPJiDhOiOKYIMB7SxQrrGnRIeLm0XV+/QO/hmgttqrQwpNoiNOYpmnQce/0ipLISFOVG7bbDUoLhBBs1xtkABkJdKzojME4i7EeHUd99dEH8J48zcAHRIAkinHO9i3XIhDFmrIs+/iXoDA+oOIUmyj0bAjTDDeK6VxF027YlnNE6Dg/vYMOLVWwoC1WLHj3v/QuXn7wEUYTxWAYkRWgY0fdrDl9eIxSioP9I45u7BMlhs3ZbaaZZnHacPXKO1gExS9/9NP80I/81/zib34cP7yEGl3DeYV1EusEVW3Iiwnn8w3WSUoKPvnyPSYHl3nlzl2cc5i2wXvP4eEhXddycLDHZrNBCEF00e4tZf8x05iL2WVjiOME7wNHR5cQSIKHNMkwxtA0DXEcs1wuaduWOI4pioL1es10OuWpNzxJXVYkUnPz2nUEoJVCK/X4b3LHjh2vD7tK5I4dO3Z8FSKEuA78DWALDL7Mmh+8WHMO/B2gA74H+BkhxLMhhP/gSxzz48BfBe4CPwXEwJ8HfkEI8UMhhJ/4o3oOXdcB0LYtSscI0Ud4PJqfenRTIaLaNGTZkLayeCfR4dFMo4SgmYz3mE4uMR4dInQ/h9U0HVprtI6RIsG5QNnUGNOhVISSCiF9n1kpewHbmRaEJ441QgR01Le+GrvFB9lXVlQgELCdR7gKG7Ws2i2Xrj7Be7/jOh/fNnzkt++SRZr1osR0Cw4PLlGeHROIkMkePiuQE8HSPKSSW9bHK1Q2xIUBcbqHsxk+JIxmKXtnd/jnmoTrt9e8aTvATwoY5xivMKnEDSve8LYrvHz+GVrXkKVPsVo0jNGYck2OwW+3VPuXUcMcl3RIaei2ltngEq+88BkmkwmL9QIdxWR5wnI5B2A0GRJFisYZ0iRiPB5TDHO287ssuyVeWEQQrE/OmRQHLOolQgSCdXz+7l2effu7sApk17e1Vsfn7E0njCZDXLDcf3BMoSMcfTSLrTpiqWi6hoIRB4MjXnjtE4x1DG0HwqJthRcZxhu6egvC07YC5wzFIKbeViwXay4fHjGbjPDBEKUpTd3ipSdIgYojjOuIk4JyvSBPM5bzM/I8xRiDtwEZCTpbMxrlbDYlSaJ45ZWXuXH5BiZ4gvAko4I8T6gdONdx68qIs/V9lqszCjVA+ZrhKGYpC1q3Quol8/XvUGbnvHhnzVH+BsajGV0byOIRUnnqck1XOQ6evsqNmSZuH8BozJ0XTsnGR9w9vMpaSVbtiJ/5jc/yMx/4EMG2jGRHlicIIbh69Qrb7RohBMvVnJWPcSR0smC8f8S6bSjSiChWzOdnZFlGWZbEaURRZNT1Aik0SZwi6Kub1nTMZvusNhVJkvHa7bsUwwF5ntM1NQCDwYDNZkOSJH0rMiAjjS1bMmC9WDLJB7zwqef5+Z/9B1yKUvAeLQQ7Cbljx+vLrhK5Y8eOHV9liP6S/U/Ti8Of/DJrbgE/DsyBrw0h/EAI4YeBtwMvAX9VCPH1X3TM++gF5EvA20MIPxxC+AHgay7O8+MX5/1DEB5XHB45tT5ya330b631RYakJI5jHIEgQMURQYBQEqEUQjyaoeqFZBzlRDp+bNrz6Jze+8cusI9mtPrH0H84RlicbzC2AuEft+GF0B8rZV+dTFJBuDAK8d7jbADh8aGjGBaUzuPTAZsoossGnDpJO9jDDA+4W1tOh3ucDfcxezeIJ9cQ0R7V0rI4XnP88dssX5qTihGRHmARdHiah/f4U/tXuHZ3ydQLlimo4YDFynC2bBlduk7lWywdg3jGSF2l3Hbcun6LPFUMBzHz9Tkq1bR5yuTaZUIsOLx5g/3pAV1nODo6QClBlqWs1gvmi7OL+wmHl44wpkM4j2labj1xA+MNB4cjlvWCVV0CMBmM2GxWxHmC95bFwzkhipDjAUEL8jiiqWqKPGU6HRPHGp3ExFmM0BFRmmFc/3p678iLjOVyhfCCVKf8o//7/0EHQZpGdKahqyuyJCF4S6wjhA99Nds2ONtSFBnGtH0rZ5rRNBWI0FcSvb/IRnQY4xiOcpQOJEkvquIoxVoLop+zRXiyLCHLU65cPWTvaEZnapq26mcGTU2ep0xmY+4vTikOxkRZTFVviZVnNT8mTgoUGUUxZHRQcPjkPmiBR7PeVrgQkJHGOEEgxYeE07lHRQX7ewlf864b3LwmWJ18BB0r5lXDioj7taeMJnTpHnO9z912wL1uwIfvbHi1Srnb5dxtB5hsn/NO4KIEK/qfVRpruq55PFP8qHpb1VuiKEJfzKQqpUjTvK/Khn6GNIRAmqYkSUJVVYzHY7TWdF3HcDgkz3OqqsIYg7GWK1euUNc1o7xAOM/BaMq0GOJ9b+RjrWVXiNyx4/VlJyJ37Nix46uPfw/4NuAvAuWXWfOXgAT4iRDCq4++GEJYAD92cfff/qJjHt3/0Yt1j455FfgfL873F/+Qj/1xe+kj0fiFgk5KsLZDStBaEoLDa4/RnhCDGiRYFQgxIFsQHc4G9vYOGQwGxEn0WCw+Ms55JCKttX3rZRQhJYTgCRjA4Xx78RgEWVrQ1I7gNVKkmC5gTEvTVLRti7PgnUJqhfAKYRK0yBFKQeQw3uGEQugBIRog8wmqGCOHB6jBlCRLkLVh9dIpx7/1gNd+5T76oWCPGYXKSbVEqpI4WfMOdcIz7T2evRQxuRYzesd11tLRJTC9dZ2577j89BFELX6hkOcjLo8nlIsTTh++xLI+Zh62TN50neRyTshjjE25/8IJdIHXPv85NtWSIC1Vs+GNb3qSg6M9FutzxrMhy82ScrtGBE/X1pRNBUJwfn6bJ99+i2RW0NY1GZosywiRp6w2DOOC5973PtbC05oGTMvedIztGpQSBBFAQmdboixHJSmeQF4U5HmKIjC9ckinPJtyzenDhzSmo7KGMnjiEDBlRWhb6Dp826CNRUnH0eGUJILgDc4amqrG1zWF1iRIcplQL9bM8gnDKMO7lq5p8M5w/vAMfCBPC7zvK5/gSLOIut4wHBb8Xx//RT54+lE2o46l2lKKFq8lKMn4DTexxYDxpescXr7O8fExtq1oNneI6wa7Npxu5wyfGKJHsLULWrGmlQuqcIpP1qhBi8hbvGlY1GsmTx5i1Ypve+8Rz12rSbcPmaiWpi1JRyMaFE7GrPSApSpYRwM20ZBzYu41sFQFx4sWkQ5YVhUilmRZhjP2IrtRsNmuKIoMKSGOI7abCu9hsVhBkJyfLfCevtU1hkCHkP3FFyEtbbelbVuqqsJ7T1VVzGa9A2vdNhyfnuC9Zz1fsjlb8Pd+9v8gNgGCo2v7iws7dux4fdmJyB07duz4KkII8WbgvwH++xDCr/3/LP22i+0/+BL7/v4XrfnDHPMH5pGo+10B2X/tkTvjo1lJoHd6LBIG0yHZuCAZxOhU0tIhpUdHgtnehOn0UR4dv0dEPjqvcw7nHCAei0shA1IKhOy/l1IKrWJCgDjKiaMBUkQIERGC6OcvpSaKMpK4wNoOZxXBJEirUVgEFSNdkMuM2Mf4UhCTE4uUaS1Rp0tOn/8kH/v1D/DJ3/xNHrx0TmJnkE/RoylRmtB2W4aZJXZznpsK0umW+XTD4ZMzynvH4D3FpQhRGEaXCob7kiBW7I2GRJ0gkZ5y/RCpOublGd/4r/yLMC3QhUCnMV0piBnyiQ9/nCduXCXPM9q2Zf9ghjEtSZKwtzdls9ngnGN/f5/F/AzTdiyXS4L0tN2Gp972NKtqS57nuLZvTd7UZd8aej6n845OBlQUgQ80dcn9+/eJol7oIyUqjvBC0tm+zdQYQ9s0RLGixtAEQ2U7yq5h7y1vprQekSZIF5DWMskKNAJhDK7tELJ3FI0TjW27XrDiSLQiWEOiFYmOiGTE4uE59aZ+7BT8qMLcti3WWpy3j39nq2qL0hdi6+1HHOdbzvOK6ZuusIkdpfSIYUarNKIY4lRCYwKXr95ks64J5jVktyCYhiRTVMwxYsH0aoSJFpThPumsJpqskYMVcrCitXfQheHB8gyRJ1yaTHj/u7+WYbem6LYUwqJ8R6oFwhl0qBF2S+jWBLPG1kuUrziYpKRFjgcm0xF1XfaVVnr3WoC9vb2L529pmgbvwVqPUhFN05KmKUIoyrLG2gbnWtJMkxcxcSLxoW8dn0wm1HXNdDqlaRq6rsN4x2A0xDnH4vycp249QaZjUh2RJBFaS4xpd+6sO3a8zuxmInfs2LHjqwQhhAb+V+A14D/5fZa/6WL7+S/eEUI4FkKUwDUhRB5CqIQQBXAV2IYQjr/E+V642D79FTzOD3+ZXc9ILRnu59Tblt5JReCDICLuRZ/wRFmEiiOipG+n65KSYjQkHuaoPEMnvZPrxkCeFFy5cZUk0wjVYIzHmJqua4njlLbxOAsgUDLCKgsiYF2DEgEf+lmsSA/66qjqxWTnDPPyIdII8mzAYHQDaz1JbKnWJ0hfI3WKiy2uqRgKxTjEtGXNslpwfrbCWU2aFLg4RYjA2dldTl47ob1X4WuBTnM6mSDTiDc8c4tiFijjhlULVxZzvmEWKIrXGIynjNXbOf3YObO9q2x9jJ3s0bAln97lzr0zNmcb3nZ1n06f0h1vkSpnvZW8+5u+k7NlzfDKFZanSw73BpR+izctX/PudyJ8x8Pj29y8+QTWe4zxrM/OiXVCnOR09V3sOsfUAbQCNrSLDb9z+xM8vf+d5Lc7ZOd4VTfs6Yybg4yz9T3sJKHzigxJHHsWZkUS59w9vsfNJ96IimM29YYiErgkEGPJQsTGNgz3J5w8vM/+MGMz17RNxY3n3sJ6eUq93hKvSvQsZrGek+aHuDagVYGwCrVcsDUONRijBwlya4mso/W9EFJSc+fuPUaTEVYYvDPkNiWJLWnSsl5vqdcxWTpBFRt0iBGyQA5iTGkJG8PXFbcIezV/+/l/jP2g5b/9wb9CWH+OKiuxaU42SIlcSldmVNtTBpev8dr8k0zHHctX5tw6egr/IEINBKtQMru1TxdqkolER1Bu5uRaMTqc8vynPsVbk6eRFTS6ZTjWHF6TfPLFJSIbYGwJ2iJ0QEUzinHKdrslCEGaJTRNw2JtSJTEWEe53BLJmFQllGVJpw2CjPn5msEoMJlIsqTgfKHRQrM4nxNF/ZykvLjoI6UmBI/SUNUbnIUoKajaDYeXL7GuNiw2c4wx5HkKxtOsF/it5SA+4u6nHhK3EhUCJTw279mxY8fry05E7tixY8dXD38NeCfwjSGE+vdZO77Yrr7M/hVQXKyrvsL1AJOv7KF+abRWpKMYoQPeeHBgLeAFOo5QsaIY5sRZio4VSilUNkUmisGoACVwwRLFEVon7O3tEUUJWmvapq9ied/nOz6qQvbVTnEx+9XTO1BqQnA47xECmrZBKUUIDT4YFJ4ii6jqBZ11XLl8nWZbI3wgT3NGacK2XqGjlO35iuW85fz+Q05OTlguN4iQ0jSWPBugtGBbzgmdZxgGCBWzaTbkl6ZMDqcMDwZEmaayhv1pzrSGydSRxQm2aum6BqHg/sNjfDphdDjjYG/G/g3N/fst2sZ89vnPkcoBB5MpTeO5fGPKcrUiOxoTJNx44gluv/Aqk/yAT330k7zzrc+yWW94w60nqeqO/YMp201HGzccHu5z//59DoqCalHjnGM0HmApkcpzsLePMwbbdaQBBnlOtSxZLlZYYLa/R1KkNE2DMYY0TcmLIZcvX8YFizUGJwWJTvo5VyFQSrHerAjScXBwgNicoYTs5x2lRALBO4phQldbtNDUdYvzEoVFir6yGUuN0JqqqhklCcHVaAHBWUD1r3VdEmfQlBVZnBCCIAhBnhWclxWjJGK97dBphBQWqSRRJHBKsT5b8rY3vpm/+8pHKNeO7/v+H+QnfuyHGRzM8O0G7yTVtkIL0RvWbJYMo6usHmzIk2sIDvjM5z9PJveYHbXIaMv2/D4yKpCJYnbtEov1CroN73zPc3z+s59h73BMsRejUfy57/4uln/nl7jXRAgZ05kSrTQ2hIsqYh+bY4z5grbxlmIQUdc1WZYBhjiBxvcZqpPJhChp6LoNpnVINaLtOtKsIC9S2rZGRTFxkqBTgbUdQoi+4k9MFEXs7c84fXhCmsYX1X5H01YMkpSmaRkMxozCiA/+1gdJXUSeFlSducjvdH2E7I4dO143diJyx44dO74KEEK8h776+N+FEH7zj+KUF9s/6Ee333d9COFrvuQ3FOLDKlLvOrixR3BgrcW2huA86IgoidFaouILQ49I9iJSF4jgkVHv3OoEuGCYja4xGU76imNr6BpzEevhL2Yh+6cplYIQCMEjgiMEjxYSLTQIcA5kHJHFBfW2RjjPdJyzWJ5wcvYKTd2xrT1nx4c8dfNppnnC9nxJvVlT1zV3br/G+YNzzu/O8a2nICZNB4igES3IjSEQKFRv2GKkx+qa4mjMzeeuMZgNCHmE0ymZkujmhPe+vSBffxo5b5mML7O4t6VxDdff/AzkM7ZJzZ2zlzHFmNOzE8ZyyuXLV5jlB9x/9S6Nc1zaH1PMCkIicMJzdnKCtZaXbr/AE2+8yf2T+8RaMir20TrgGsvpg/scHu6zKU/ZO8owZ2ukVkR5TD7MccHhQsNb3/wmHty5R9bE0AW09+zNppiVwXuIh0N8BN5BMIGkyHnpM8+jBQgpUWlMV1WkUYpSEGTAB8dgOGQyG+Ew2M6AD0RKs5ovKLKYIgfvKlwXE6kciUJqwWa94NLBEWVdQxTRdhXjYYFvWlrfooUD25LolFGRsNmsKIqcYjzAuYCQIIVgNBljLKzLM5L4iKZekwwXDMZTym5LHEfEUY4zEbcG1/iN27fZuBnf/W/+GG986hpf88wB3/+X/jXGxTW831JVgSQfsTlJiYLj5Rfu8ouff5FXbm/4zGc+zfu/OeX7/41/lUvjjCy1vHp+jMwHqL0x1EuWds2Vp68Qa45YlY0AACAASURBVEFjN+gokFXnXEoFx4sSr2Kc1EiRIaX8PS3ixpjHJjhIKOuyv9hi2seGNrFKEaRY26Fiy2gwZLOsqboarfVjgyqlIrrOIqWm85YoErSNIXgBImCMI9agpSdSgaraMhwV1HUfqQJga8vHPvlJpNcIpdlutxD1Zj0E2Dnr7Njx+rITkTt27NjxJ5wvaGP9PPCffYWHrYB9+grj+ZfYP7rYrr9gPfxuRfKL+f0qlV8RQmkG0yPaumEUJ5im/0Crsowoiuhch1S9qY5Sqp+fs4JIRRhToiKJtY4o1uT5kGE+QnqFUhHGGITo5yjruiaOU+qq6dvlRMA7B/SxIVL2jrBRpJFSkxYFrgOdJwTbcLSXsjp7GemXVOU5QiacPDgj8g0DNcMbWB+fs1ycs12XmFVFoQqM8mg0bWPRKqLIh/2MneuIbCDVMTZWjK5OmN3YI91LSCcZ20qg0eTBkDZrCqFQqmY2mrJaLckmM5ZRTTZLaWPNYvUqT7z5Cl3YcPX6FTb3S9I44f7dOyybiqefeQtea6JBgteahycPSMWYmzevsx1XZHEOzrM4X6Limv3ZAbZsOdzfw7qWk9N7FMOM7uGWYTFl/9IR1jZkecJivuDq4QEPZSCWgnIxR42HrFYrxoMhpnOEWFF2FZFWqKCBwHo559r0MlEWUeGQEpIkolH28Rxr01acnTWkRUroOqzvBcxqtUIUMVmuWDw8ZZC+AUfHcFhQNTVCOhCOLlh06LMLN5s1udYIBd6aC8ff3nE1y2Osa3F1ILowY3IElpsVxTTj9JVXOYieIElSZFRSu3OiQiOCprUdD1494dpkTKRT0tkEGU+4t6jY/uptfueD/xX/8p/5Fr7+69+BFnv8vZ//P/nwb9e92DWGbedYVYJWH/APX3zAb//o3+Jv/pf/LrZ8mSuX9llVDxFuTZpneBXQOqbtKoxvSIJiFHu+9evexd1feYWuNIQoo22gKdcMBoPH1UdjzOP54zQdY2yNjnpROcxzzs/PkVogcCgJUdS7pLatoRjtsVovuHZ0jePj+48zJFvjsE3DeFIQQqDrDFnam+I404F3eCsYFBm2aymylLPzFc4EsnSMsALTWIQJpDq5cECmnznehXzs2PG6shORO3bs2PEnnwG/O4vYfJlQ7p8SQvwUveHOXwE+Ry8inwZ+T+VSCHGZvpX1bgihAgghlEKIe8BVIcTlLzEX+caL7T8xY/kHQQiFjqfEsUASiGPfx2Tofi6qYIBzhiRSKCX7CqI0+KYjsQJbtTS+IxmkZJcK0mjQ50p6CBcGLd5alOrnJtMsuXBmbUH0bpBtUzOZTHqRqhWTyQTnGwKaznk22zWL+RlVe5+yeYCxa4IMpNmQ4wfPczR4kvPTDQNbME2GjCcZYSRp6kDbeRpXE7zCe0FTdxA7VIDYK9rguPSmJ9h70w1UrtB5XzHK0ilCRByJirfeGpHW95GyAK0YzCbcf2XF6MYep9U5IvHMbmac1nfwzlCEnJu3rtK9ZinLc97w7DsgVahYs2w36C4lkhlN3fDhD32IP/XPfzuvvXYXUEwP9tmmCh1bXn3+Bd54+QraCw4PD9ARVBvBiy+9xLPPvoNmW1FVa3xoSa9cYhg5Tl58lZujfZZK4GPJ6aohylPyRBPnMaE16D4dk+18wfTWm2icYWsbknyI8waRSqQXBBdIsj72IysSbJMStCQdjUgPE37tV/8h3/Rt34CIa9r5FoNh3Tl0GuErT+1rZCaJkxi77UiSmLapCNKSFr05UtNt0alkvdwyGebEiSYYi7WGOBEI5WlZMNyHZrVkMNOIQrIIK2ZvvIJqNHdfWXDl8oBnLdzhLXzslQ3nxxVhW9PWU5R3/PKv3+GXf+1FrGlxzrFSBzgBoVC0qaeMGjyCj69S9n3C+/783+DXfu4/R3PCnj5h/vA1qv1LZPmA2rdILdEhpTM1s2HE2qR4WzMoBmy2HVk2Jcs1VVU9jsiJoj5LtSgKTJOgiOnqvtX1dFWxt3eN4TRCyYSyOiGIDQRBlg7wQpLlAxbLNcVgSN12SB2RFxlSpLRdRSQkWVbgbKAra/JIoGWE7QxSRHStAS+I0oRIQREPsdvAIB6jVEAKAV1HFCmM8X+Yt5UdO3b8U7ATkTt27NjxJ58W+FtfZt+76Ockf51eOD4SjB8AvgH4F/giEQl8xxes+UI+APyFi2N++is85g9O8ATRtxB61wEBKTTC9yIvArqmItGKpqrRcYIrG0xtsNazakoOr42QRAih8K43w/F0BEKfLenc4zzIPp6jIYRACI7tes10NEZrSRZn2NbSVCtsI1jMKy5dGbOuXmHbnlOWJUE4olxSbhZoOWKxmTOezYi2OZmUuK5DSklaSDrnCSHFe/Cun/Nr2pK2K7EukMcxxdUxYhBjpSBCkqiUJLNoDWl1j6eOBgxMx7I0NCqmcR35wZip2mf5wHH34QPe9tY3kGxitusVmU+pqhWnx6ccHkzpRIOIJNZ7gtRoXaCC5N6D27z//e/n5OSYNNWsli1pMSC6NOCDH/o4z1y7jvPgnUcEWK+2pDqis4bleoHAcXz7Zb7hvc/BIGV5/oAgBEFA5ztUohhEOdumZjgZ0zQdEo9tWkxnOdw/oK5L4qKgSHKs1JjGkMRDggl44SibmtHekNV2RbNeYkTAKcFkOuGTn/s07/nWd9KFBuMdo9mwD53RYJWjE65v26w2KJmgRKBpKkbjIZ1ZIYTG6wjrDOkwxWBo6i2FmlC3W2QWo6KAo0SkHe3DOdYVRJEiHQ1Zs4DIUiUVnfE88+ZbfKQzHBhPteownUIkQBrRSE+SFJRdoK5bKt2gVUTwnoBnlEocgdHgMvOzU3w04s/9W/8F//v/8iOkScvRFc2DsqJab0gHQxygdYS3LatqQRAxneuoXYVUGmNa0kw9Fo5KKbTW5HnOcrkkjvsKvQy9e/EgTVluztg7fJLNZgP01X9nPCHoi7ZYhZSC9XrFbDYjTTXWOrJU9dX+puLa4RHrVUVnA0o9ymQNaJVQuwbvBEjBoBhSLzq8FTjj4MKdF+EIeKQK/UWeHTt2vG7sROSOHTt2/AnnwkTnL3+pfUKIH6EXkX87hPA/f8Gunwb+I+AHhRA//SgrUggx5XedXX/yi073k/Qi8j8VQvz8o6xIIcQt4AfoxewXi8s/2HPxlqY7RxEwBKTy4AISgbcO23UEZ1ECqrrF2JamjTGbBrGxKBmzMY79mcTZ0M9WeosNHqHBBk9o+xmstu2zHZumoW1rpJR0XYdzjvv37yOlZLutepMdM0frEVevPcXedMLt44c4SpSO+9ZXasazjOVJRbudo2TM5eIIhSVL+7mxSMfEQGIrhIggSKy1BHJ8iKiKiMHeAX68z9oCVhKFnGFcYMMrLBZL3PlvcPDe91LdP2EyPaKrHE4plExZr0p0ViATQesNURYzYEjzcIMpPW98401saWhGMU54jIckzjk7XjB/sOYd73gHJyfHbLcbkiRhOp1SlR1/9wO/yPf+mT/Lp3/pg7z3xjOUZUkSR8igmM/nvO1tbyPJM2xX8vZ3PMvnPvdZ3vz0kGyYIfKEcl2SHkxRCLYLx9Wr10mLAbadY1qD6CyxjJiNJ70DLw6hIsrthsuTA5rQV6X69ktLFEW90U6WEOcZtenIcDzz7JtJZ0M6s0E0DisbsmHKYrnGS4GIFFEU0wVLRN+iOhgMKOsaoSzj8ZjV0iJiiSYiLRJWq5oklQQZUVYrYik5uDpEV4aZHTCfPySd5IS9CDmFSBtuTW4Sug16YGnaE67fvMH8tTW2ldTOIGKLjwON6DBRoFEBZ7aUm4bgPUpIiiwmwjJIN0wmCevhdc7r+7znO3+E53/rP6ZcNEySHIMCFXN2fs5snBHQbJsaKwNxmpCEhMiCkr2ArKr+91nrR62pLYeHh6zLc7yoCQSEFFjvSXLJfL4gyzKUTllvzxgNUrrK94PPQiBVxMHRJeq6JM1TrHN0XUeSJMRpRFmWCBRCeKwJCCHJ0iGbTYn3ks2mxMUBpTUDl4EDLSOUuJhRFgHo82HlbiZyx47XlZ2I3LFjx44d/wQhhFeEEP8h8D8AHxJC/CzQAd8DXONLGPSEEP6xEOKvA/8+8AkhxM8BMfC9wAz4oUdi9J8WHyxdPQd8Xz0MfX5jcAGFwDvZVytaT9dB14Dabum6jrZtiXTSm9OsFriyZothOIkxrQEp8Ba6ztGajtI3bM2WzlRY06CFRCKwoeX/Y+9NQ2zb0/O+339a8x5qPOMd+t529+1BU5SWZNMtEawgDCEW+RBIsDIg8AclDkRxIAEncogDhtgfTIIDHuIocUKcQRGaWmmpLdtRy1J3LLW6bbVv97197z1jnTpVu/a4hv+YD6tOtQRKIBiuuGj/YFNV1Nm79qHW3rXe9bzP8/S7S3AJMyhqXVNoSegNt4/u8N6Df0SMT4ntgCCSfCL1CisimVK4csfafZOT7BZ+iLhBQoyktEHIhBWaRI8QgZAUXhWo4gR5cJeU50hnmfg1UnhytSEmzery6+BW3J0fcnERKc2MVbtgnt1DOYlL4GrBggsOPlYQRY9QkW57xXQ6JelEazTeCqJRhADDyhP6HZtna6ai4tH5N8kPDslVzmRQ9G3geRjI2ivWjx5TUvLs7DG3Dmt876myincev8Nrr3+EZb9g8GvquqRzgZXeUcSMpbYU05qjqFn2lt5e0g6a7cIjpSQvDXpoefD1r409ntUEhOHqckPRZFy5K/T8AL0e0D5QNTVr4VkMHceyYrl+xFESTNsSt8no7EA6MCzPnzE/OCQFyyw2OB2wfomIYRyQppJhcAx9x62TE876FW2+oSsj6qpgUhbY4hnTU8fueYsqDAdpTpFZerNhuBvAX9G7FXVRk3oPFmyhGfIlUifyTHN18Zj6/hH33niFr331PcxOkBGpkiB6i00OIx1dEgxCcRUDMTrqlDgsS4Q8JAhJnwZu332dNPxj/tSP/BX+6l/5y5zzWe7cusvycklVFyzXLcPQYRc9NlvQ7y5QzX1y1eBsYL3dIK7rw/3gMEYTomN1dYnME8EnBAWDtVTVBIg4vyV1S6YTSVXo8TjLPdM8Y2MH3GAJTmKMJjpLrhUx+fE12F2n7lYFMll8EIToCK4FFVBakBUlylgKk/PVr7yJLGsGnzCxRYqIEhXE0aec9p7IPXveV/ZD5J49e/bs+X1JKf1XQoh3gT8L/BuABH4H+HMppZ/8f7nPfyCE+Arw7wJ/GojAbwL/ZUrp5/5Zn1P0nnZxCdeBGlpnALh+PJF0LjC0Hj8Eok+EEGAY01bzvKC3gRjhnfce02OYHUzQRULpREiR7aZF5IGsyFFNjlcepUFLQYoBL8WoePSe2uRURUaWFE11m7yp6eJ77NwjLhdPkCiSCEQ8ppAM/QBKIs2Y/NrK9bjO6QTKS4gJIRPGQEqRJCJOJMpZTX04x08iUnX4sENnLdaueb5YImVk111QKsfHPvXdWNehXKSaTNiKHIxG5Q2+9Zwc3WO73WI3K7quYzqb0/eR6ekRdtDEImOiSroLT70pOHv4nONbx/R2x+ntIxabLbme0O8cSSjun95m9hUNFxtuN1OOKsN6+ZzD+QlvfeM9Xv3QHZ5fPEFWmhACznmuFlvySUnvEyd3jwhPW5zryZTm9P5t8rJiuF5PDt4R+w43dDTTCcpoolbsupbZ6YyyygghknwYqz6MZrndELXk6uqSyXxCVZW0yzVHdw9pHy05eu0W7jWHqTTuypJEQAqFSQnZQIYkm0DsE63tacWSukp0w4L5/JjzZyvKSiHqmp/9/E/xQz/wg7Sdo8inXG2uqHSFMhn6VuKgOWbXbSh1xayc4bSjTQOZlri+4/hoxqLfcnx8l8OTKzabgXboyaXC2+vQKCFRWoH3eBvohh5d5iysY73bklCkvKRziqw64b3Fgj/1Yz/B935yzp/5sT/K4fw2y8tvkskldRM5626x6iT3X3uDiyFnfTUgZELosRLHe4/ODdZZtFYIQIhA0zQ4K6mq6rr+QxNTQIhEiI6iqFhuxwTXxWLBwcEBITqcs4TgGIbrRNd8/Bl5nt8E+FhrCSmidMK6nqapyPOS9WqLMDNMecLpfcXq0Q7hAt5ZRHIIBCqADOxHyD173mf2Q+SePXv2/CEmpfTngT////H9nwV+9v/nY/4k8PsOmf/MxETsLSRFSgI/BOzgcRZijNjekby4CeUYfYyCECI+DBhjiCmxWC5ph7fJMokwIGUkEEgpcXC/4ujkmKqRSAUvTk+VFiShkAgMChMlB82EQuVENWV2lLNYfZXOPiWpSK4r1ps1So++ypgSUoCQHoHkwdV73J7exaeASgYZJSIJouyBcSDK6or6ZAKFBLUlicTgrghhiXdbvFshJKzbK9ro+drXv8nslXvY1cD9g0P6FFFK0NuBvCoQwWKS59bhIV/+8pdZbza89tFvI6WM1idMUbC5WME6owxTDopIURlirRjshiob1xXX3Y4qa6hE4hN3XyVebSnzkuB6JtOas7MzjDFoJSgmJX0YWFxccuuVVynzAlUZ4q5j2V5y3Exwi4Gr7YrJwS2KaQU2Yrc9MjpWqyuUkgit0FlGzAx102C9Q3uJNjkuepTRuGFgOj/gVnHMYrNmeXZOSoGPvP4aSxf56he+wvfL7ya9LEgl0EecchhviMkTCnDeMzs8xD1f4fWOQSScWyIyjck9MgtgYJCJbD7j+KNznp1dggjkZU7SUE8m6MYT15Jh4Vh3K5rQYDAI6SAJTKaY1SVPF1vKMvDKh+7zW2dnJJVo44AQgUhAGU0Ignhdv1EV5dhfahTW91gf2Kw3FGWNklCZmu1VZPkPH/Glr/0F/vj3f4h/6U98iiafsOvXbNWUL/zWl7jsGvTsgKYxLBYL6rqm6zryPGcYupt10Re1H33fI0V505+aEsToybKcvl8Sox6TYHvHbD6j63coJXFuoGkatJEMw4AQ3/IcA1RVhfee2WFD37cU5fg8YoTZbMbWlhTFnE//C9/Jz/ydnwGZEEoiMegEMgoytx8i9+x5v9kPkXv27Nmz5wNDiolh5Ukx4lwiBov3EWslUmr61o4hqkmgACklLibkdW1BCAGpxsCabrel3SakFjhvicIzP5pSlIbJpAIlQWkQEaMNRqpRGQqC03rGrKiYFxVawlYYenfGs+U/xqYrTJYxDD1IgfMRqSSSQIwBUxiG3tLJBZ0paY7nhD7Rtx2ZKajnY3XB/PCYJAU7tWLXniPEjpQCQnr67ooYeoLfEcKoCtkIv/3Nx3z1136TH/+3/zUu244qT+SFpNtuKCpFd/EMPXS8/bDjzv1TZDMhaomWBbduHfDo4Rl62WL6msXlOfdefoUH67c4ee2QMlQ8e7hgtQiIrCRrJFVqkauevK7QJuD9jtVqzeWzDVeLlo9++A7PF2fYYHnt9Zd58u57HEwmbNo1h7ePqIDz33mAiSWyztGzHKsD0UaiHSiVZHN1yaTMaWZTgoSyqZHtDpkZRKbx0SGMpLcOmzyHTUG3WoHw5Dncun1IDIH55JDcSn7lf/+/+GN/7geJtWfbLokTwfSwZLFZUc8bCpnT6TViHplUNf1mx+x2jQueGDtivoPJAeVpw+2Pv8pf/9z/xo/+6I+yfOsxZSVZ7a6Qu57pnWOClFRZCdtI5zuyUCALQegdOsFrr97ji9/8v1mFBzTNKdNXZpy9syAOY8JwCpLVcoMTNT4klNDjACkSQQiGlBhiwsfItuuRQjFkxdjLWAXWrufXH2/4jb/2MzS5Is80ZWVYtglf5sTtgHUBk2V0Q09eFtevEYVUGq3lTdXHpKmJwVxXc1istRSVQGlIaVQXAwKlckLwCDFm38zncwbbYVtHlmXsdjvquiaEgNb6xiPZtQMIgbMRrQqkyOm7xNHpS9STOZjEt3/fJ/nt3/oyUtRj5Y5g3HXoA2kfrLNnz/vKfojcs2fPnj0fGEIQrBaCGMO4xpjGldVAQYwDyY/JjRJBEAICoDQpJpAJpUAoCUSKzOB9JCTQOgetKJucSTMdkyyFISLJTEmmDckHTsop03zKYT6l0AqTSdphiyrWXGzeIsod7c4SrUJrTxIZETf22GmINoAakzXLGjbdOTZ2aF1x52P3cSHQ+hXJCYa+QymFk44+dNRVTrvb0XU7lEjYfqCpSlwQxOgZouTSa+b1LYq7b4CwyKHFCtBHHWtvSSogpefO6y8zBE8+nRG9xLcD5+98g8pUTMpDzq8u0Kc1D4dv8PLHXmK5XLBbWHIK7p7MGXJJYSw/99//Lf7I/e/g2bPnJKkpqsjJ6QGz/JhltSMvM4wKXFye0bcr2t0Cv93ysdl3gh94862vMFElk+MDts6gmpzlao3sEnkK9LuOMjdURUYgUVQl7zx6gMxyyroiJU8vPCZTJC8QQdFvdkxMwabvWa0W1MoxOznisk/U5TFHB4GShqhbuN0wFI6kIs2dGowhkJC5oDmYsTg7Yxg64u1DbL9DR4XLe6pjxa62lKc5rrvDX/yb/x1/+od/GBMDVelY91usAFFmaJXItMbKDm0MvetRIZArydHBhDwXdNLR+x2vf/xlkDuefeNdUop4AZsU2GxW9J1HCIMQcrw4ET07n5GCQ8nroBkSKfTEJFEWQJNUwy5KtiHD+By13rHpPAwdVTMmqaIE0mhsGP2KeZETYyCKRJKCIs9p2xbSWHmT5zlFkVE1AudaUhzvJ3SGFIos01g7dkxqI3EepDRkmRmrU4aBqqqw1l6rmgmEIviEUqOimYJCihw/tJw9WXFVKGZHU/74n/gB/s/P/gOE0ugy4kIkKkGSey1yz573k/0QuWfPnj17PjDECH0PIBEvThoFhBCJIaC0Ilg3rqEKSGEcEpUUaC1JMoKKYz1IiggtyFSGTwGhQRlJlhVIqdFZQVACKQxKZphCcTw7odYVtagwSrHplwwu4vUVPq0ZbMfQR4wuCKGDNJ6MS5EILpJlBc768aMQGK1GP5/xnG/PUEYz2BVlXuOdI7lIxLK1a6wdQ4G0NoRhVGuCl2hVMoQ1Qhl8Mux85Bf//q+RVZKPv/YJni8v+NznP4sKPf/Wv/JDnB4dETtPkgqHx8gSieAgr2AQPH3nEa992xushzGZdrO5ItlAXc159vYzslJhS8XCPuPOrTk+RXRmMEVOO1zy/PwRu/PIR1/7NpLyY0XDpCbPNefPHjMvMt7+xpu8/ok3MJnkeHaIXwmUNkQiqOsVx90K3w+URUaMgel0wtnFBYdH91hstoSU8MFDpnCDw3qHT56qyLBXa+oi53kIDNHSDh06m5HXNbeznH/ypa/w4c+8yiA7yBWxgEAAB9IoTJXjo0cVmkZM8LkhKyak1jPQgUmILIHyvPNkwWRa0UZPRSIvNfNygo1QFzlKJ7JyyrJfYdNAXhS4YYtIkOcGpQRCRlzoKWTO/fv3WD4+I/SBqCFkCqkEKTlEjAgpEXqsYIlRE0goApkOwDi0KSWYhylSWkw0aBR5XeGSIKtPmJSO3WCRyuD8QAqjVxi48Sl67xByvEgjASVHD6OUY2qwUoK2tWgVKYsC5xwujquv1loAQnRcXJyjtaauq5u12N9dJfIiTTcmTZ5lKC2oqwkpjmu8Q7clJj8Oz03Jej3w6e//DF/64m+SaEkOlJDI667YPXv2vD/sh8g9e/bs2fMBIpFkGlWPNJ6wxggqdQgimgKpNSmKUf2TglxKZJ6Q1RgCIhRooREmvw70GNBKkZKiyGcgFMrko/dRaiZZwUkzoypKZpSUypB2CRciVlpi3rH077Lpd9ghUOQBH85JYlylDSmgVY6QhhBHP5e1lqIo8G7AxRatBop8MlYsRAE60dl+DAYCtBDotEWKiIwaxPXAHEYVJ+gWIxwYQWsUv/DW25RZza88dkzdjqOy5Ef/zX+d/vIR7XpFbqpxdVEXrLeOpshp1Q5VCO6/fsTT/i3iYc7EzIjvJNQ6Q6SO/KUKexg5zjK+8JO/waHI8bHj6GhOVra0w8B8dooeOhADpkmszy8xAs4fnVPWBSrXfPEXfoXXX7vD3W8/wvctIteIXcQnT6YVYbmilJ5n7QW6FujM8OjqjH7S8Gj5iONmTr9bY8qMMDhmRcV6Y5nUGYkejCUNGwbnEHfu0BcF2kgQCkyNfiw4+9Jzbn3mlKVcUNYG3Qo6saOoK67EFVJDdqjYPncIldBSInLJyXcfoO4GhnZLriLy5C5b1/Hf/PQv8J/9+L+Dev6AtLzABU8wEPNAIqAxGCHAamxUdGVCBIEWmqBrNs7AdqBqZrz8iU/y1ptfJ8WW+cywzSRmmui2A9F5vAfvIyn565TSNKYHC0EhFFJAUAOZFkgPwY61NUlE2qEdk28zTbvboaRBiJymFJyfn3N0dEQIARETMUakUESZ8NGS0oAxOTEAMmdagwuRZevI8wLrI1JEtNFY21MWNUq/2DkF5xx5WY4XVrQAJHZIGJ0jZMSYnLKsCT6SZRlFobGDYDqdsN5d0q47dJ5RlIEf/KHv45d+8QtgIkpLwl6I3LPnfWV/2WbPnj179nxwSECMiJRIIUCMSLgJ/xiDQMaUUykFUgpMrtGZQmuFyTXGGIxRKCXHf6NHFUMYRdQCnyAhCSHRZBWHkwOOp4fMigatNTFGetfTDTtCsEQ6nG8JcbguSw/EIEhx/BMrhKAsS6y1SCmJMZLno6oYY6Qsx7CSFx2Ufd+zXq9vHmv0wAkCCZ8iUYCLAaQmcn16njIEGoFCSkmWa5zv2F4+pV0851/94X+Z7fKKGON4S5IYBM4FhITBdphKMjtqWJgd+eGUOpthZMWqX3MVFsQmoOcSlSV+4XM/T1VVIAzrdodPER8CmSkoy5Lbt08RStL3LVpLiIGrxQIjJH3bcfnsjG7X4tyANICKVLMCHwNaj4FGbuh5/vz5tSoWqauGqqo4PjyiMBnzZWw1xgAAIABJREFU2QGTyewmURQxDtRKCbz3FLM5ejpldnKCyA1ogTAJnSdkyjh7cE4ucjKdMeBJpUBnCkgYpcfu0RjxwSJVQqQxxTcvFD70SCW4uFpwOG2YHZ0imlN+5Mf+LA8XW2Q1QyhN11tsFPgAKi/pbCK5JYXxCAnLdYuNELxgGALRB4ZhIK9Kqqpiu92Oa7x1RtMU1E1B2eSE5BA6IZJDS9BKoJQg15o80+QmwyXobWTd9jSTA66WG4Q2lGWJ9x4pBUWRgRiPoq7ruH//Pm3borW+Vg9rtB5XXouiYjKZEUJgMpmM/lwhkFKTZTldN6CUQUo5DqHXHmSlFCml697VHufsuH5tu5vXKyIQo8d7y2azwmSafthhjALhqBtDSp6Li+e0bUvfW7yLvPrqqyil2O12SLE/pd2z5/1k/4rbs2fPnj0fGIQQKAFGSTKt0HL8WiLGm0gIIlIEtA4YEzF5pCgFZZ2hjUBqQZIJrSU6U0gjSZlE1oaYS4piSvCSuwd3+fDt13hpcpsmFFQhJ1mPcwOOQDQRJ5Z0/jn9cMEwrAjOE70gUw1GjimadV2zWq3I8xznHFLKGx/Yi+HxxYkwgMkUB4czEgGpIBHG5FCfRgUIQZ6VOOcQQo2rt3KKoBqH15RwrmewW8LqKasn32AiPcZZMm2opgcIUeGjJsbEZFITpGN6WpIah3opo55NmccDugcb8gJOPtKwmu+Y/JEJP/nTf52D04o+WlRTM787R1ZqTE/VGW+++SYuOmzqOXv+iNXyOVfnz7h1eESeafq+ZaJzyqNDTCnJKoWoI2YCqpAk45HK0fdLtIncuneX+nDOatejdcajh+9x+fyCzWrLarklBAeMA/dkWmOtZddueNZ1+KqkODplUBrKDFmDNz3YgjLO+OWf+vuUYkrQib5woAM29CgEmdYURUZZm9Ffqh1J9GSlZDvs8Eny9rsPYWgJwtA296g//L38D7/4GzzqFUoJMqOQg8WkRCEFhRGouCTaK7Qp+D9+7u+R5BzrQApzE1iTUuLu/Xscnh6zG3ps2JJMoDksmB4WnNw7YHpYMpuWFDlIFciMJC8UUkIKns46rtZbzi83BAzVbEY1mdL3o0LonCMET1nmVHX2ey5YAGitGYZhHBijwNmEFDl5VhOT5+BwdnPhIwaJ0SUpjmqjj2NNjo8BIUcPpzKarMjJcgnCU9cFMV0P6DLgo8NHhwuWi8UzhILlZoHOBnbdBciBLJdsNuux13K94Y033uD27TvMpgck9sE6e/a8n+yHyD179uzZ84FCSomU45+vFye+wI23qiwznOvRWgABlSVULklq9NsZM6qRIflxmMwUiEgIjjI32N5xND3kztEtpqokj4rkEsO2JwY3ql25giwic8e2fUbfb4nRIoQiBjEGgyRBlmX0fX+9djv25EkpEWIc9rT+lqvkd3vJ+tH4efN/CyHgYyQrCpIApEBqQ0SQxFg6EoMcV3hRWGsRQnA0r/nBz3waFQJ1lpFixHtP5xzaZBRFwXq95Oj0CCscujKUucR3WxYPnuA2LYdHU6qTCc1HbvF4uEA2gp274uXX7mBTh2oUqpJ0Q4e1Pa9+6GV6tyUrJc2koJkUaC3Y7tZ4CfXhjGlWQ0hEEjETXLVX9KlFFBC0p6glm/aSl169g1ceXWXo0mB9xysv3UEmj0hhrIaYT7HWst2ux8FajtUT225LlmUIpcmLkqwq2PU7okw4n5hXx5S+ogwVdtdRVjkmV2S5RgpB9IHgHUJHRIzEaPF+IIqINoblpuXJswVPnjwlJkXvFb0oWKaMv/q3f4reevxgSbajIiKHDYUY6LqBzsH50uH1IUMsyEyDFhrvPcMwEEmUVcXJndtU0wbrB0KyCAVJCcqmZH44oZnlzA4byjpDmoQpRo9lVhi22y2986xXO6p6hlCGvm/Js/Lm2NNaE5Oj67dMJhOGYRjDnJxjGAastSyXS7KswLvExfMF1o7f226XmExdK+YJZyMgUUpR1zUAZVnSdR0ppWsfpSIEN6qgZUZVlcCojk8mk5sLKjf1H2WDlJLtdsNms6Gu6xul88Xz/J5PfR8pSfYlH3v2vL/sh8g9e/bs2fOBQYixeUMQ0UqglcBoSW40Wgq0FERvmTYFSjpm05ysAp1HtIlIk0jSk2RAZAKTK7SCpsiYGYNdLvn4S6/wkXv3Oc0r8hChHwhDT0oBIxVJgMPjleNi85DWPcX1A653GGmo8oroLNEPdF2HtfZmNfV3316gtb5Z/xtPsj3b7YaUIjCu5RqjUWZMi3UhEYUkJEEEQhJY6wkhYYdA3zuE0MQgeL5cU9ZTdpsWGcDIcd314PSAqCLeO5pJxXJ9Rcw1S9fx/OwZT549oL5Xkr1Us5kInvotf+OXPsvf/OxPcf9jd4n5lqOXMlK1Qc0jVJYPffgu5xcPmR+UTI8zLrcPOT6Zsdleseu2nK3O6QrBRz/9KV45eoWv/vKvUjVzNkPH/M4xsjGkg0CYWIZ8ydI/Qc4c5jhjqCK61FS1IfkNdZEoK03dFOPgowVVVaCUYLtdjwpiHDjIJMuzZ0QLBElR1hRVhZlNIRhui1v8zH/9d7jNnKKNeDradoMInlxpwBMY145jCPjkCTGiTcnB8Us8frrjyUXL8/MLYreizDUXg0Td+wR/+X/6LO+2GbG8TRtyYlLEAJebkmhe4vNffMyGW6TiDsFHmkxjpEKk8SKCDZ67r7zEh9/4KNVsgswNnbNIrfApkrSkOi5pjitmp1NmJ3NMkzGoyNZ1TCc5s7okN4Zht6UuJH23vgnHSQR8sAiR0JqbdWulxosQxhiapmEymQCCPK8piykkjZRQVtnoTUZSFlNm0xOkHI9l69x4gYBE1dT4MCqSg7OkqEhJYodACNB1FpImSYPJJwwuUTUHbHeOwUVyMyXPxu2AzWYHCHbthhA8m+0aaz3f/V2fRinzB/KetGfPH1b2Q+SePXv27PnAMK6ABl4MV0rJ0euoNFper7dKyIyiyDKKLLv2Po6hIkqNg1cCgowklYBIu15hUuLjr7/O6XzORBuEc9jNBjd0RAJRRKIfS9IDgcF3JDkQ2ZECKKFRGLQ0eGdJ0d6oPcC3/IjXt99PjYSxW0+IhPf2W54xIimJ6/XBBElee0DH/kvv7RhakudolRGDJAbNzia++uY3mE0PKYqKFMafu2mXbLZXNM1Y9F41E3aDxSOZzA94+ds+zO4osTlO7I5KPv87X+W333mXHYJ7H7rH7KhBmI6dPSdrJLdfPuXxswe88so9lqtzNrsLdB55/PABB9Mpne3IqoKLdkOcFCQL737jAZv1lqqeoHJDXhSYqRxXTmXP5LCAzCMKwaJdUNYZ9SwHerp2hR3asXpktyHPM/I8p6oKUkoYYyijJfMO5SKh90gMRdEgVYZqckByUh7xvR/552mfrNk+vsIFi5DjqvGL2kEhA1pqpNAopWiaKZu24+c/+8sMNrHqI2dPn9Aoj99cUM3mvPt8xar5EH/781/ln5xZmL3CWkzpzQRZ3eFnf+lLfO29LY4ZgzcoKVEy3RwnLxTnzXbL0ekJp7dvk5c1RVUSr72a/eBwOIKOZHVGczzB1DlFXaDKnPmkYlqVqBQps5xuvWFaG7Isv/YFmzGxOI2JrjCq+XVdU1UV0+mUpmnG4Caf0MpgTI7WGVmWUZY5MXqyLMNaj3OeIq9omgaUxAbP4B2dHT2e0mjq6QQhNALD8/Mr7BA5OryFMTltZwlRgNC0ncPkFdt24OzpkovzDVU5YbPe3fx+d+2GYei4vLzi9dfeYJTo9+zZ836xT2fds2fPnj0fHFIiUwGiw0hNSoAL5LmBmEgJLGPLuapLnFbkk4Ku6yizGhsDzkRklqHT2CtpEExmU37w0z/AneNT7s5PiTHS9R1RibEqJI3DY+87tDggssHLx6z8M7YxIqXEekvCEoaAdQkwaJMIwd+Ev0ipAMZBWJaAwflsXNFVA9Z1IA1eJqTQ9CGSqRwA54drv5pk8KOKE3xCCEVd5JAMQ6eRoia4jOAlIQ48WvRwcMLF47eYVhnPl8+p7ryC1IKL3ZpMlSyWS2bNnJQEu6bgWReIZkJz6z7/0X/xl8jqOcPsPsP2bbLl20wOJV965ytkr1ecHEcmU8ub64d89NWP8423v86yX/Dq6y9RP0z03QOW+TvU9+/y1j99wr2Lp8xfPSY9fEqzc9gKljFyb36MczuKWaRdDZx8x11W52vKuoNsw8AKJVu82nB0+2RcR1YWryybduBqsSOrahQJGToGVWFVQh8LvLMcTg7w046L9imzRrN83tOmKeud5Nd/6hf5kz/yL/J0veDo1l0Wqy1DZpjlkt3KUk0Ti8WCel6xjYFBaT73934VVEXsLb2L7LIFJydzOrVGH+xYpJfZpsj/+OtP+JnffMJJqZjmiofbivcu7zI7vENRVKy3a1z0yCgJrkAqgWsdKUXkdZjSt338o5yfXXH2ZMtu17ETS/rdJbEVCAl5riAlKDXGHBD7QOw7JB7bb9gNa6r56IPsQsvdu3d58rTDOYcxCu8SxQR6uyT6HCEK2t7jfMdms2Z2MKXdrch0iZCOplT4fsUQIoGBLDfAwHq95fDwANf36CSQKYF3hBg4PTpkGAY64VFKU1YTrPNI1ZNIKBxSa0gKrQyu25JnJVZGpIT1ZsXB6TFXV0uqekZZ1iif0bdXPH76Jk1Ts7pY/gG9Me3Z84ePvRK5Z8+ePXs+MAg5rnzmeU4ikGsz+t5kHNMqdSLLFFmuyDKFKRSDt+jcsOtbYgwoJfHBoa8f5+jgkE9+/BPcuXPnOnUy3fjBvB+rEV6kpsYwKkUpjSmaMAaJDLYbqwxExLqeosww2TgwvlAcX3x88bkQ4kaFvLZ4IqXGW4sS4npdVyERiARaKWIIiCTp2x5vA0pojDJ0naPvLSCvUzMTSsNkeoj18ODRMx4/PccHQV1N0UOgSoosgPKJOq944WcLfaQpJzw9v+Q//omfYFCSdfKUaBgiudRkWcbB4YR7L90mqsTX33mLi9VzVu0SoUf17vT0iAeL93jz6Tt84jOf4pnbMb1zROs6+nZgNplTTucoMSbWtkOLyQTeD5hCUVSG+eGUrFDITDDQIXNBb3dMpjVKJ+YHDQpBVZSIFz4/IdlutxRFgRBpVGeNpN1s8XZgNplSljWDd2ghacqKO8e3WTw8ozIl/XZHpiVdu2a1uyIrNdv+imZSYIcBuxt46f6HyJopu5jQQpN8ot0O9Lue3JTU+YQybsnFgA89QSiWVvJgFdm0ljsvvcz580ucGy8GeAd+iChlUFJjnQPAJ0/vLCbLuXPvPkcnxxwenVCUNXlRkYREaYPUCp0ZpBZIDdJE6qYhq0rmBwd0dmDXtQzOM5tPGGxHWebXq6wakymEHBW+vDCYTDDYjr7vMJlCKXW9du1ujt/R42iw1rFer+n7nrqu2e124/GnxHUCqwASWaaZz6d4729uUkq6rrtOck14N3qcY/JoLZnNa1IKpBQ4OTlms9kwnU65ulqx3Yw9psMwUFY5Ifj3861oz54/9OyVyD179uzZ84FBJDBCYJQgBDWu4QVJyvwYQnM9pCEZi+4VFLWi7XuyiSalNKo2QCEK6qLkU9/xXdw+PqHROZOqYXO1vRnyUoKu68YqCjlWgoQUIRP46zoGIcYyeCkhhFHZGYbuOvxHonXGMAxorW+CcqQU18mqIKTEB4vWCmc7kGNwy1hZEAlxICVBigIlDSEksqxCoCFpgoe+lcQQ0doSw4DWblQyrWKzCfzPP/3LfPeHX+Kf+/THefeffoVXiwobIk5Iks5xSJrjU9578JCvv3PBL/3d/5Xi6D4rr9l1ET/01E871PIJxfd/iExG7rxyRGFqspQj/Jof+JPfz8PfeZf57ZLv+tAf5Utf+g2eDO/x2vd8O4/mgi88/ybfdf+TVBON2ebMsjnsHFlVUNeCJDzbfsW0yVk+X6OUJDssWNs15lBzfPcW680FzXFGkh0IgTIwz6aIdWTa1KQwkBcSZyI29VTTHF1K6rrmrbd/h4/M7iOVx8riuvZFk6uGlw5e4b2vfp2PvDpHA5vtMw5Opqz7C7JMIXPBZtdTiwPq+g7/3p/5Tzgfcqb3XkcuIs5a1uc7jMypD2ZEpcj1Dh8EKpuy6iPx4C4+SBAdXhmyZkI/OLyLY1djEmASQovR8yoTPgVccBj1MllRM5smpNhRFBnrzYztdkff77BuR9ttr4/vnKxMICqMkEiVsbEd2mqMNGw2V5hsDKUpSkNKFoEkRg/XFzpClCR6inJc4QWo6oLdZstkOmG3W0IKxOvjWwqFVhkAeW5YbRdUVUlVlVjbIWRiu1sznTY36a8vkombpqHve+7de4W2bdlsVmgdGOyO84s1g4O6LunaHiVht24p8hl+AKl3OB84O3uCux689+zZ8/6wVyL37NmzZ88HBgEUyqCFxGg5JmhGjxAJKUELkIqxJ1KN3sIYI1VVkRU5zXRCXVacHBwyyWveeO0j3D66RaELZs2Mdtv9HiWy67qbEJxROdEkERFGEGQkK3IUkqoqSSkSgicET0pxDMZJEoEiRXHz8ebzdO2JNJBlGmstWVZATLjBYocBYiL6RAoR7xyZzkleEGwieQlBI6KiLGZkWQVJXCdbeoR0XCxXzI5u88Uvv8nn/+GX6VpBdfgSq6TxRQPTA3ZZRZgd8e//hb/I3/rZn+d/+btfYC2nPDrfouWEuHC8+Q++wuKbZ9Qpp9vu2LQrymlGUgPkgXfP30HPYStXHNypWKye4OKON77jdWgUv/SlLxKKkrPnZxwfTogqcble0HcddhhQRiF0Iq8Urd3Qxx3kEYpEzCPN7SnZiYYmQhbYDFc0Rxl9XNNUOW23oW4KYnLktcKGFgzIDHrf4rDUTYHtthRKYFNPc1iRFwKlQSRJISuUFSibOKgKdstzpk3Jk6ePQApMUeKcwfqKtjd4at47uyJLOSZqhJXYzYB0iizltEmj6xlJZSilaDcLQr9G5xoXAvP5BJJDikCuJIVWY/9pCuMFBwChEFIjdUle1fgIRVVj8ppmekA9mTGdH5FXDTqrEErhYo8NHV0cCEpgoycKEFKD0sTksdZSVSV1XSLV+JoxxiClICZLVRukinhvedEh2fcdB4dTsmy8uDH2Pwq0ypBiVKeFELRty3w+I8bRg5wXBqUUz58/4+HDhzc+4Rf9kSklqqpi0sw5mB+Nr9e6pCg11rUUmcDbDi0TBE9VZCgESgi6fsutWyfEGIgp/oG9L+3Z84eRvRK5Z8+ePXs+MEghMCRSCKMHjDimOsYwKn8SVEqjQpIkWhnQiqQlWVUyqRvyKCik5o2PfZLTkxOmdYMIkW7TIpK47s8b1+qklCDGk1xjvqUCPumfMzuesbkqyEPN0C0AdZ18OVaLjPfX44m2zhHiW+utIYxqqRCRwbbEMPo5nQsYUSAYB02R1OjHDCBCwPWOXJe4QRL9qP6sVxtms5o8G3sGXyieiUg1y1nZHdX9l/GzGT/+l/4aSjp0rlBGs2sHvMy5Wm6YHJxwuY4sbEG3bFk+vGBYdDTW8Go6oKgl3/Nd30k/XKJqyfnVGfdO77DbXfGdf+wNWr3g1hsz1t0Fv/Frv8q0bjAccXRyn+3um0QmbHZbkrSoe4p79++xjTsKYxAyEKID5ckqSXVQEmIiKzQyFhTVBJt7ypOacOJwweHrFqEHvN1RzzT9esP06IDOrwjFlqY+YeHW6MNxoJndniDkjqKs2cgVudFsNh2ZiuhSMdEHvP21dwix5ds/81GqfELvEpP8CB1OGGzkyaXgP/0P/3NCeYzIKhqd0V/ukDEhYmAXtjx+6yH3Xr+Lnt7Gx0AYNgybNWG7RKXEEzkhyzK0kRRFAcmjdHP9O05IFIqECwIhDEjBtu0YbGC1XSClpixLsnLO/PCIYRjYbA5Yrp5j3Q4ftggJboA+WPCO41sHtK6HAH1n8cEymUyQUlMLwXK5JOWa1Wo5Bi9tNtTVDIGgrmcIOaCUYL1ecHQ8B8CYnIAkBnkTrqMN5HlOuxsQQrLb9WSZQesCgaIsSrrekmVjvcxNz2SMBC8oy4Y8q1mvdiQiRd5g+4Es1wRvSTHgXY8AUgwI6Th79hBBcR24tWfPnveL/RC5Z8+ePXs+MAhAk/AklJRAwoUxlMQwDmlaS2yMyCjIkoZkCFGgRIaKmkoYXr51l6PZnCYv0Qh8iKPXK/7ewvJxEBQ3PY9KGi6XS+5/5B5Xw3Djcwx+XH0FRYjxOoFyDL5JKaKUJvh4rUYmpFS4EMb7iHA9WILAoI3Bu8j4VBKk8bGkTMSY8N4RQ0bwkaQTdTVjt9uMq5l5jhBiVFBdQJWRwQWiVJwNA2VekuU1m3ZH6hKEHC1ymnqKcBkP3nkPu83YrTe0Vz1FMMiYE32iLA0HR3NO7xlkYXntjY/TXm1wbsl0dsymXfJk84jYBQ7vzbl35z7+8FX+xn/7c7j8DhjJwl/iZwXTw0B7dYEVPbVRDDEiiUghGKylnDQMmx1WJroQiMGxvtgyK2tciohc0rKjNR1pqTBCEUzi6dVjTD0wPS2JnUTFjJXfUlJgTElnd6CmRLlhenTMw4unHB/NKIqMQh9wMDviH/3mr/KFz32O6dGU5vZd1l1gXjf8P+zdebQkWV7Y9+/vLhGR69tqr57p7tkbjQVmBGgGJBhksJDYLIFB6GCELM5BlsAS5kg+FhhZFgZbRgIxEgZLHHQ0tlgFmH1ndoZhGqZn7Zleqrv2qrflyyXWe6//iKyiTqsbqmeY6q7u3+ec19kvMjJfxM3IV/l7v3t/P0zBz//6b7DbDLDioQwUg0huHaFt+sCmi8SypjxaUHjLfHbI/u41JsOCpl7gnMGniG0tQmLZRLJ8wGx2yMbGFtJZTPSIWFKCLnms9G1ZTpw8zkPvfx9dG4hxkywr+rYwxjOdbJPnAxbLA5arXZq2IphIDB3WGNq6oyhyWFf0dbZgb/eAPM9puxprPVXZUuRjxpMhs9mM5XLFdHyC3esH+NzThcBoXBBi/YcVhZNFxNB1kSzzJFoSgel0mxgjBwd7jEcDuq6jaQIhlMh6HWSe5zfb2/RTZg0kQ9el/v0j/RTtkydPs7u7y3J5xHg0JYSWPB9QlXOW1ZzpZIfVolq3xFFK3SkaRCqllLqL9K0XLEKSRDIGmkDhcyTdCOgS3hgIEJuObDgg8zlWclxyvPLeV3B66xgbm1s45zjcP8AZS2y7PvBbF9Hpp9316x339vY4Ojri8GBOaxwPnLyPa8trrMqSrgkIDrnRYUD6D7MhBJqmJcsyYuyzjP2H5n4qoHcWpFkHnQYRhzWepozr6X595jOmSAiREANN0yFEUrCQ+qIqVdVgXL86ZblckmUFRdG37qjZwxaOthbCYMBe0+C9wboNLBZqWOyXlIf7XHz8ApIMp+1xvBlhrSMZ6DJPDMLHHn+ST/nUryR072a8MeLCxYuc3Njh3vvO8vjjj3Fp9xo+H1BWKzZOb0Mh/NN/++NsjE5xVHumW5uMNiIPH13mjZ96mpQtWIYlxwrDaDCgWgXqtqFrGjamI4iJ2dGCweYZJM/YGW3xXd/xT/g7X/Y3CS5y4r7jXKovUV9dsrV9gi6tOHPyOMEdMXAZFz5aY3PPW9/9dj7/9V/MUblgYFouPPkE+T0RfMn22TFZJrhhTjYcMCuPeO1rX8sjj72bnY1N6gre+ZvvIX7Wa/ln//qH+HDpWGTHKHf3OG4dbYJ2muExdE2LHRmOLh2SfGDr8KM0ZcXWeIumarGjEe//6CO8YmfE1qnjLOojfO7ZP7jKZPMkB/MFg24TY3OwBXk+JtQRIePJC08QUsenvPbVvO1t72BZriiKIZsb2ziXMRxMyIsRWT5gujlhNtujKheU8wUSOixCJo55uWI0zmjahqZp6bqI95a2i9R1h7GwXJSkKGQ+pywr8mxEFytIgbbtsM6R5Z7cZ7RB+gC0qmjbgJiAscLscIFzjswPqOtAluVsbY6p65qQGqCfPluWJdPplCzrW7RMJpN+urfxdF2DMZ6D/SNCiGS+oG5KJuON9ZpMQ557qmrFbFaRogaRSt1JGkQqpZS6a4iAtx1BWurQEZPB5o7K9oVsrPF0bYuTDF91ZNEQYsIZQ55lTDe2GEy3yDZ3yOKAdllB0yI+IiGSkiEe7dKtKuqY4fyQg9kh584/we7uNR67foFv+JavYN48yqqcQS3YkOhSC/Trw9q2JSUhxoT1Q9oQ8FkCG4nS4YsC6CutIoYUHSEarClI0WLyjqZrMTHRhUgMQtdFTNigaxqMcXif921ImhnGGZJtaGM/xTB2LU0Ai2Ekx/ugNu9o6zmFG9BVkRTB+Yzdq/vsPXlIXEayZgMrlpU3GIQ8M4SuIXZLjHd8zqt3SO05zPaSwXib+UFif3aF5Qq2to4xONhl6Dz3v+pPc/lqx3ve/zCjwau52gQGZ7eppWUjCfe9/GWEsMIOEtsbY+bdglhFTKrYIufq4RFV5qk6EJuTBfBNIh8MWV6HbhJY2CPm4yHOBsanN9m7cg2yQDOqCOOSNglLf0CTZ0xecppzXct2Zvicsxs89tDbuefPfBaL/UPsxBOGiXbUUhWJuOUoF4ItT3A5RPJxweu/6L/kX/3wr3F+NWSxGlGWLcYbZk2g8kN8KQgVmRuQVpbcD1nNO2TrGKVUeJODNcQA97/0fqoqcX3ZZ0bbcoG3goSWrlyyc2bE1euXGeQbODfBtx5JnuHQQ2hoKkNhR5TVAmLNzGeMRiNs8GR4Cj+kbXOmgzFJriIUVMt9ok2UaYFkgS6uCKkly3MgUFUt1lqyrMBawdr+DyAiiSQB6zpS19GFhunGFqvVgtVqhTEOayckiWSFUFZzvLXUbcN4vEMIoZ+SnGWE0LJYlBRFQQzCYDCgqiqKou/rOZ1OWc0bDCWZy6nqBRs2te87AAAgAElEQVSbQ2azA+pY9T0tbU7XdVRVP2V7NptR+BGDQUY3in/4Rxyl1B2hQaRSSqm7SCLRYh3kxmBCP33VdhGTQGIks5YUI4aAFxh4YVgU3P+yV3P82ElOT49TSEZ1tE9ZzTma7VOWffZltap59JEPcunSFYbDbZoIi3LF7uEe4/GYb/6O/47zuw8xn18hpQDSkaiJMZLnBVVZ07bt+gO2Jdxs58G68IjFmmy9PrLDGEi4ftprlL7FR2gw0k/DNRjaNuJsTlyvYwshcbMdRxf7abauIMSWBMTY4qxgrKVslzhvyG1OLg5aQ55yyv2axy6fY7Y7w7YZEjxePEYcEsBZ6de8GUNHX3n2s77gAdxUGG9u0RqHLUbUnWU4usYjjz6CMwMOyxypJ3zn972Z7ePbhPG9vPSeezh3eIXhpmeQjRkfn5CaBSann4IYIiZ3SGuZH13Fu5ZULaiXDYPBNkJG3Qq//Jaf5yWv2uFwecTWdAIISQwUDa2ZMxrmRLtk3h6xNd1hdGrA5tY2Fz78EA998Hd45el7+FOvfQXh3k2WYQ+7OWAxO8KSkRc5wUScNViXOHFmm8l0k6NSkGyT9z70s+DHRBzJQkgNIVpWiwrrOqxpIFR0AeJRw+vueYDlcs5wPCKESF23JIQ8zzH0xXMSfbsaEfqAqCi4sr/P5s42ly9fpihWTIpjOJsIEllVe5w4fg8vve8YH3tkj6ZtMUtIbU41yzm2eZJiskWR54yzgtHQU+UHLAy4PDCrdhHT9zQdj8fMZjOccxhj+ndVG+hCwnRCjB1t25BnE1bLiiwH7/sWH8YYBoMRXRsRPIIQY5+NDwEGxYSqXvbZdm9o2kU/zdoITVuS+MN1x977fj1kCJw+PWWxOGI8yRDrqKpVP7X2aNXvFxLOZTjnmc1mWGspiiHXr1/H9tWRntPfTEq92GgQqZRS6q7jBEQCzjqMJLx1t7QOSIhzgCAxsD0cceLEKe499RI2xhv4ztKslhweXmM+n7G7u8vRfMn167vM50uuXNtnuSoJqaYJgaPVEjx81df9DZ7Yf5TgKlLXslosGQ6Equr73TVN01dbda5ve2AMBCGlvjdlP0XW4J1HsFgizljqpiN1CWssqUt9MZVkqat+m5BBzBgOHV3XEWOkbfvskWAQEdo2kmUDJAZSjH3fTBFcDpBo6w4bPPWsZDWfsbxUspjPccmRooUAyVkQgxdBkmAxSIoY5+mals/985/D5Wu/R+YbDpbnOXn8Ppq25NruRXzumE7Okvz9/MRPv43tex/gwuU9pls5565fYXxySsuSebNkERs2s4RpDWIiZbliNNwixEjolmTeY4S+Aq/1tMlAcrzrAw/huobtEzsMc8t8sWA0HWOqikqOmAw3MWOhyB1NbBjsZKxczaXFPvmJM1wMS377Yw/xlz//dcz3PsjmpCC3GcZakktgIiKRre0p82WFyYRxtk00G2yfOsGTFw6JLmGto277oklR1u1ZELq2ISZLtVyRj8aQh3Wv0Yj1HuM8xgoi/evTdQljE1XVrw9MKdEmuHj5Et4ZQlty1FzB25xUjPE+4+Klip3jGxweTbl27QopzAhNBuRUy5zpcEAIHW3T9WsUTYafTKnDESYGsGG9fjHDe4sxgvN9UJew5FkORLrOsbExoGscpIBIh/cWSFjbF9MpigFVBU0TMCbh/YC6XiJiGY1cHxzGFu/dulpxwHtH2/UFq7zvC0ENBgMODg7YmOxijGFVzmiaGuuElITRcELoIsY4Foslzjm6tv+jze7u3no9cXezfY5S6s7QIFIppdRdIyWIYmjrBmsShe2Lb9gQ+iyP8zQx0IWA8Ya8sNx38gzTrROcmh7v22XUK8rDPc5feJQLFy/z+LkrzI5WrOqapg3EMKHuCqKxmIGlbEq+/Z/+jyyXC9p8xtHhZVZHB5w+dobFag+XWdqy64NXsXjvb7bvgHSz+I61njwbkaIlRDDR0TUBkxwINFVHkY+pm756a4qWukkYsfgip64P1u07DHneT+27UZgEMf19IdwsAhQRjMno6kSqChaHFec+cpFQRXzpybIc7/tCPNGASYJB+iwokCJkWUEXIIXEj/+7X+f1r7+fvcWMM2cmXL/0EZbNgpfe/2fYP1jxyBMtb/6JH2WvzOiKE2ydfTWyNWDgElUq2RxYDDkx9xxWLduTIfXhPi7PGWSGg9mKVVVybHtMVdVsb51mfx45KJdMt3Y4SB7qJZ2NNCkwmDiatKIOe0zP5qzaA8ajIdFFVosVkg2QjQ3M8W2qzW3KuuY9u+e5fzVni4bpEJyNhNBivadLLc4brl6/ANJQTDa4drXmXe95N9Pt45yVKeevltTVkiSBNkQSDoynTR2YDGtzxoOM85ev8rJXjWjKmhgTw2JI0waszYiu7Qs22T4Tm+c5rFvRFEVBaGsmkxGL2RFt12ENzGZ9Nk5EqJoJG1sZk+lLIZTUdUuzCgzHgfniCod7C5zLGBQjci9kPlHWFdnAEYxgUqBta4ajou8NScLYwHSy2f8hhIS1FiOOtu2IEXwOiUAiEWLESE7X9oFg27aIRLx3WDtERFgsFn0F2SyjriustTdbehhjqOv65vl67+m6jvliF+9z8sL1GcjDOVXZ0rT9usnlsh8DksE5wbkMkWodoGoAqdSdpkGkUkqpu0ZKEDoLScjFY4PgkyEb9f+cdaHGeA8kxCb8wDEabjEutoidUK2WLPYv8thH3s9b/uA9LBcts3mkC4YmChFH3exTDAbk08TWPTlf9+Vfw+X6PWRjy7WLj7A5zXC+oDxaEUUIIuvqkhHBEEJYt/boq7A6b/oPuakjhMh4OObw8AgvQoxyc3qqs3k/7TFlOGuIgMv7LFHbLTByY/qjBaRvOdL1bQ2MXbc3iAJRMMbT1C0D2aJbBv7gdz+CdB4ThqQ2YLxDjKNpA84KFiH3EWMg2j4blazBFB7qgDXCuz58hXc99DE++3Wn+fTX7fDAp7+RM9NNHnroAv/xJ9+BzU5R8hLm3YLNnQl2wxJ9ogorTp/ZIU8NYzxve+fv89Vf8FoW158gVhWnjp3i+tULEEvMYIeyc0yGY5rgSN5wtKz58R/7MeLGKZq6RHKLdQ1VNycC2YZjWc/Y2hmwSgvK6DD5FOcnUEwZbt3DE0vPwBYc1bv84//jB/jeb/ly9o4WDBx4I3RdTUod569fIHQlLs954sI1fupnPsa83GIyHNDUidM7GeevXSDGji44RBwxCJIMKRkSUC2WXL8qnL3PkBd91jnGyGDQVyO1ps/S1XXdB7DWklKfOe6WJbFp2dvbxxpPiAaJjhAaxCS8NyxXhxT5BHC0scZ6YbSVUzWHbE62yAZDUogYWrqmpE0dnWmIkohACpGt7Q02N6csV0esVkcMzACDoazadWa7JXQV1g76KsCp69cehiXGeCyeEDOaZkUxyPrp4ClRNysGNkfE0zSRGOmnYseIz/pg0Vqzfi+n9R9cEnme47O+2FTXBfIs4/Spl3Lt2i7FIGOxWDCdTtnbPcBajzGGqmqw1lDXLc7mGNHW50rdSRpEKqWUumskIETBRIM4h0mCS32rjxgjYoVVucQPhmSjAa949asoihGTyZT5fE5MDY88+hEeffwjDCdjsJFZuaJpIg1CEmG0aSkGkS/88jdy5lWbXNx9GDOpuDK7Rm4zFocHSGsZDYekKLSpL9wTY8KIoes6IN4yvTau+0eavvKk9Fme1NWQIgb6th8CbRv7wLSL9Os/A4lAF2q86T88x9ivg7zRZsE5R0fZB5dGSBGKYsi8OuL8uavsXZ0T2wKf+gq2IdXYvKBtO4TU31qDRIMRIZD6fplEaPtpkU2TOEiB1SLwq+98hPd+9ElOvO2jdIzolnM2Nl/Gqszp0owgJeONApdHFtWc6c4GTVMRu5pCOhqE2bJkko8YbR/j8HCf5Cy7uxc5de+nYsWBLUgpY2O6yY+86bshKygn9zCd7hBSBCJdKHFFTgiBVb3i+IkpxnWElCiKIdQZj52/iEjBsZ2zrGZzdq/PybMps6OS8fFjhLAktA3FwNLFjsXykDx3rFYrjp26lw9+6NdxuaVMhkE2ps1hmDtSG2i6QEoBkb73p0lC07QMpyOqZYUxfcY4RaGNYb1W1hBjtw6cPFk2YrFYYI1nVS779iajgsOjGZPNMVFsPyXVt0ymI5CW5XLJxsYGVdURKKmbhswYjDd01GANvvAsDw4BODjcxTghemhiYLjOaB4dzaibEqRvQ7NcLanrkizL6LrIcDBiWEyJA7DZAqj7rGGbsM4jKcP4jpQCWeZAAtYKXWjIszEx9usvrXXEWPdFr1K8uQ7TOXfLPpaqqgguIViuXr3O2TMjzpx+KY898T6m0ynzo2VfAVYsxjhWqznEPvPedX2FY6XUnaNBpFJKqbuHCF2MTDLTFzMxkJxQxwHWO1b1ktZ0bG6O+dRP+yzGoynTE6foUuBo/zL7+9c5f+lR3NAx7gas5kuapQCeLs6wecdf/wdfx8lT21y8/Ps8ee2DxNTSXetwQajCHt6NSZKzX83xWYcVwBsiHcYJxveFcqw1mOj67Epo+umLsWH/4HLfFiEucLYgdJZy1VLklmI0ARlRVStCrAkhYUwgy3OahnXgksgLTxsqxEI0gVW5QMKQrD5GOUtcvr7k6qUDTN31WZ7UktIK8QYxgdQaEIgiJLEY76mSYWAybFiCeKyM+iyaGMRZbNuxvXOMzDsYjJlVm4gtmAwDdZtYtYfU6YDJTo4bbxCM5fgx8JnDhBWT0YCTY8fyYI+tnZxqf0W1chztLXnfRx7jpa/8z6iL00xGGd3Bk1y58jGu1oK97xQLyZFForKe1me07ZxQJ6IZ4HyNPTaiLAyrlWU42sLkGfXwpfzcT72ZNH0Zh7vnOFoekCyY0Q6/8Dsf4S982mu4J+/ICRx6S5kSxwctl64uuXpwgh/7ibezceJTuLI3R4IjmCWucGwdP0ZaLFnNFsQ0p0uQoicaaGTBqZMbvPyV97NKLaHtaJqGPB/00y7bhuVyyWg0wtmMIBlbx89weHAERsgmLVXbkg+n6/WvDW2o6FJHVRnKsuL4sZPUdZ+tHOYnSM2KaBImMyy7SEweE4Xhxpj9g2vkWwV1XWOTkEdPbVdIG+m6vtVG2wA4bMwRY2k7Qz7IiCKsmgXL5ZLhuGa8EemaiGFCU63I8xZjs3ULj4wQO0Qsg6KgbgKYSKBGcNhMCAmaNuGzDO+FENqbf1xZrVbUbWRYbDEYnQbTcLAomdpEnRI5lhQso2yCMbA/2ycSsAZIhsEw18I6St1hGkQqpZS6a6SUyGxG1y0xIVCMCkgR5w0ifVGbl7/yNZw4eZadE2dwWU6MDYtFxWPnnuTCxXNYySkGQ65dWrB/sKCNgWyUYdrEX/2qL+FocRW7vyRR0XYrQlf1mQ4szjnyPCPPJpTlkqad471juapwLqMp+wIgRgRJDsERI/3UxFARQsRYQwgtXRspV0uczRkOR7RNYLFYkBX9erkQ+2CxaQJdG8iyESkluq7BGYtBaKoVbV1TmC3KZeDxx87TLoTYWIZFQV3302ALnxNjh3OGjg6DwQBB+jHt1+gZiP2URyQRQsDZDNZr5ISCzBm8s384LRPA5H0F2NTxipObXJ0f4ozFDQvGI6jqBYOxx1v4wMce5vjGmIc/doWz2xtUyz1OnT3FhevXOXWqoDx6kscuzhjFkpAMXfQ0nRDE4TJHbgdMtzaJu7uE1JDZDict3kZS6FgcHXJ6+wSLuma/ndMZw6pqaMN6aih9e5Xff+QShb3Ip51InN3xuGHDtdke5uT9kCXe9q7306RtYhAKX9CGlpQCuc3YnhbUbUNVeObzJcYUdBFiCFgniOn7JdZ1R4oVw+GQPC9uZt283ySEPvAqy3p9TeXr6a1hXSgm3FxLC5DnN14/y+FsH8HSti0rrjAeD9k5tsmVa1fx2YC2iRSDCbkbMygqYiqpqddToSPeF1gx1O2SIh/SxYa2bRDj8c71wW1ItE2LtYnxaMTGxoiq6dcsWhmwqALGBEJX9gWcnMOJpesayrJETH/dSBKqqsK7jNHIs7GRkwiE0BJj16+VdJ4uJDY3trl+7ZCTx4/jnCF1iatXLrGzcZrz585zfOM4VV2yqOZgDMZIX+mWhJGEdvhQ6s7SIFIppdRdxFA1geFwgERDwjIYjMELPsv41Fe/hq3T97B54hQBTxLD+Sce5Xd/731cungdYwxdCFR1yfwo0gTAGw6XV/mu7/s25uVlLpUfYlXuUze7xLhATMS7fgqppIzV4ojBdoGhJYWaIhvh3ZTQJfAQI3RdJIZI1ySyzBGlInWJru5wTihXNUZyrAEjGcZ4jOkDBiMVo9GYxaIixUTh++mFq9WKyWQCEVazJd57MoaE2PHBd19n7/qMjeI4hS0oxNNUJd5YTN+iEm8dTgRn+qRNAvpP3gKhbwifYsCIkIAU+wI9+bp9iOAxRrDGcqOvuzEO56YYA4Opw20a7tkec+76Zc5u3EOoD9jeGuEzECLHz56lXqz41z/wc/ztr/9r3DPZ4frhNU6dHTEZrQjlHlAyGm/SliPe9tvvoWm2WDSCyWrK2PDI+fPcOxZ8ITTdnHKxy3g85uq1C5w8ey/LusMPJvzAj/x7OsnZL3fZW+U0TSCjwETPgvt464dnnByf4bEnH+bUTmC8OeDRqyf4oR/6WSbjbYzzLMsanxeEsEKMw0tiNPAMz57AEbDNkv1KMDERUyR0HZPJAJdbJAi5y5kfzjGbYK2l6yL5YMCpU6c4PDxiY2ODxWJBU/cVfkl9cJQSN6e/GmPIckcMkOd9cZq6bhmNC6xpKIqOq9cuEoPFm4Lp9hahSzg7QpgTY4mIwZh+2mqsOiKRwhaUsyXODsicp25j37dUIrGLjAZDoA8QY1ticcTgEbEMR2OMjeSurxTctPXNwLiuawbFgK5rQRok9BWE66plMBjShYo896zKBgTatsZ5ODyYs7m5TQodubUM/YhQLrny+IJTm6/g+uUrjMcF3kQW5ZKscIyKYn2Neu0TqdQdphPIlVJK3TViTDQBuigk68DltAnEZ9xz38vZPnGG46degpiMzZ1jHBwe8r4PvJ8PfOiDHM4XXN2fc3XviL2jisnWMfbnMxbVIePtjFYOac0R2zsZy+V1ymrWZwybCmeE3PfFcrLM9BnKWJMXnuVyyWK+om1b9vYOqKqGPM/Js77yZJZlpChYk5FlOW3Tt/EQ8Xg3IMsKnM1urg07duwYRVHc/Krrtq88awyh7SDA5vg4hUyRasgHHzzH4ZUK146gdUjKaKqWGCGZfj1eSolqVdJUFaFt8dYQQ4v3tm9BYiCGFiuJGLlZvMdaR13XN6cdxhhJSRAsIfTrUNvOkg2nnDx7D7PlEb/0a79MMbBU5SG576uBFrljZ2ubS09eZXZYkdIG/89/+AXywTZusMl0Y6Pve1m1GMk5Wgl/8KEnefSJPWIa0DaGLnnIxjxxeY9gc+qqpW1ryuWcslpy7MRJ2mgoJlvsH7Xslkt2FzOqbkmKK9p6QbWsaOpI2QnJbfIrv/UwD75/ybknNnjw91re/ONvY3rsDEE2mK8CISS6JuB9TgwBI4nYtdgYGOeegbek0JLWa/PywrO5s32zANJisSLGyHLZrzfMc3+zOinAxsYGJ06cIMbI5uYmIfRVfEUsWVYgYnEuo2uhbQNtG1gul6QU2NnZInMZy6MaOs/m5Ayb0zPsbJxlOjrRZ8RvBKHrojYAzuR4W5BCYpCNcMaTAtR1TdM0fcC3/n/vfZ9ZTGDEkfkB1hX9tUCgqlZY27exCaHv/VhVFV3X3SwwNRqN6Lq+F+ThYb9O80aAXNctRVFgxFFkA5bzFaHruHr5CpeevMxqVnP+0ev8ys/9Fo98+AnaOlIuSmIXcNaSYt97M8uK5+pXklIvWpqJVEopddcIJA5Dh2uEySjDGsOx7WOcfdnLOH7qDKOtY3QpYzgZcvnSea5fv8i7f+9BMj+mrBNtgDYBxrO/3McO4I1/6c/yRV/2udRyhfnRJXavP45B6JpA7IQULMlbnFisBEgdTb3Amr4SqySwpoMUKDLBSsPsYNEHhRSUqxnDUcFy0dK2EWeHjIshXYz9B3QgxY62DUynU1KXURQFMsw5ONgn9wV1WVEMHKEJxNoSpKBdCu/8rd8jxgEmOXK/LuLSthBbYupoQkuWZTgDNs8IXUvuPbFrKfKMEAPemj5bCRgB4zyI6/snRsEXfYZyvYiStgkc25myqCLDrCAvRuSjMRf2LnD+2gUe+NSXc9992yyXc7Y3j7GqZ9iQcenRJ5ldnJPJAB8mjPKCn/65t/JVf/ULONi7yOHFJcm8lOWi5h3vfj/7zZDk7yF3GzTLS/jRMfaOFvzG2z/Aa059LscGW5Rlic0HTDZOMJieZF4brh5ZfvEtDxGcoWpa2nafzI5pTUNKlhQ8J/OCrIHh8F5i1fLweUsbpwgNbR37wkYS6GKgXCwwoQNjoOrIbcQ4y2Q0Jm4HZs2M5aqjFcEaTwyG5aplvloyGBScPHWM+XyGd3310brrODw8JM8HGGM4ODhgPB6zWCzw3vdVd9cta+bzOcvlkmI4JSUQBO+GJAKrVUVqBSOervWc3LkHn4949JHHaUNH2x4wGmcYAhL7Ik2Co+0CWeZBPE3b4myGGMvmJOtbfHQBby2x6zg6OOz/gEGDdYayqsjzEZ20JGlAWuqmJc8GWCssFismkw26Lq77QFYYk1EUQ0IH0+mEpikZj8dU9Yrp9hZluSTLMkajEVU1Y/fqLl4KDvdWPPHYRXavdoTacnV/j6aaM97O2Dib03ZLBqMdcBnR5iTsc/vLSakXGc1EKqWUumvEBE0yBOdpBUabO5w4ew/bZ+7FTzbBjciKIU3TMD/Y5d3v+G0GxYRl2dCEiDhPE1NfedQFbBb5wi/6PK4fXOLhx95PMA2h7fqsTWco/ARnB9BZmjpgEhA7mmpB7BqsJAgR6zpiqvB5IMQSn4F1EW8TmYN6VSJRyExBbsc4BjR1RPAUxfDmurjRaERupoTasJyVOPH980uf7WnaihgNH/vQk7zzLQ8SmwmpHGNsIpkEEmlDQyeBlkCbIlXXUoeOVVVivaNZZ6RCCBgEZ+w6c9bPB7yxRtKaPnvVdX1GLqW+D2bfAiJw4sQJsqwgHxQ0XUtZr/hzf+ENnDizjfOBBx64n5QSg7zg4rnzzHfnnJicIM2FzdGUKxeu8vhjV/jO73wTeX6a/UPHb/zmI/zSr32I81ct12fCaHqKvWt7HNveoW1yYMLhUYcvtqhKWMwbsmzCxUu7VI1lsnWGt77rfTx24YDhcMhgkOFdh7dLMlPibUPuaiZtQ9bWSIpIZjiips4ShS3IbJ9B7sdFMJkBmxOiYbmqqKqOtumDvPF4zNbmiMmowBlL7vsMc1NHLAIhsZqvmAxHxLajq6s+e9u2zOdzrl27drPfZ4yR0XCCsxkxQNsEMl8wKEbUVUfoDCl62jZhxDE7XDA72qVtFmS5EGLF1SuP4fOGpt0lSUWSEusSxvbzj1erFUksXUq0of9qukhav643sqRFUbCxsYFzjsFggDURZxKr1ZKyXOI8tKGir0IMbVffrBpsjGE0nOB9znDYvxfLsqQohv05ZQOszSBZjGRsbR0nJcuTTz7Zj7lYJDg++qEnme9HYp0IDUyGE1KMdKEB6fDeYDIP3pFsdvP6VUrdGZqJVEopddew3jI5O8YVsLm1ydl7X8ErX/GnsAzIvWeUOcrFAVcO9vixn/1llquOw6UgdkgbWpy0DKwwzgfUmeUbvv6rmZ4puPix6xSjmrbaxbklXQsxer70S7+K//c/vBmKRCIyMMO+lUIq6ZKjazzD4ZSjxYwi8xBbTKgIbWJjvM1+07JctpzY3qZcrPD5gEVZIylQ5P2U0LqaY21GChYnBVmxQd3NWaUjYqrxLod2wOq6YZxPeejBx9i7tMKZCYNcII/AsM+KuoSIIOIAQyYOZwy0EW8zQhvJMo+/0ZbC9C1JvPckIBrIswFdNIi32L40EN4aQhREEtY6xFjmVYMbTPHbmyzrq7BVcuXoIi+59yUMTMXFJx/G2RHVUcfH3nsFn3JcJ+TOM5/N8NkG1w4iRbHNd/6LX6YoCpraIH4bM8poDOxVLV2xyXwVqUyAriCkP80/+sEPsp3PGPqSL/ri13Pfq17Bzzz4IX76/3sTx8++hMo4RAbk+ZDIkoPDvb76qW8pfEE86ChsTqgWWOuZWE9KQjSGPLOkpsV4j9QOj6OOBzhv2Z9XSBOIqWPb5xTFgDQRrscFTXOA88Jg5DiqW5IIeEPVBZpFjbWOsBI2t7cgh67rWC0rnPOUZcPW1jFCaFiuZuTDvnVJwmJtznTsaasSExuyzGKyHOsKYjUmEjAuMVtd5OrBdTI/BpeIbYe1BVVVkfkxq5SYTjZo25oscxSFp65rMj9isagQ8aTU/4HBe0tdl/26Swd1s6ApS0b5NhIhLisGVmi6hHMGYzxt21IMB6zakrZt18WAIoN8fLNPqkjA+4zhRsHhoqSsh0yGY47KGeM0YnG5xLRbvONtD1ItWurVEu9GOJdofMXWqQHTY0N2jm+TZRmeEV6GjAYnEOOfy19NSr3oyI3KX0oppdTzmYjsich2MSpwVvDOkTuP9xlgECDGQNe1lFXFYrkEEVJaZ9huPFECEZhsbDAaD4jSEkJNiDUpdvT1Sft1fylBiAEjfddGKxbWFU37p+rXnPXrvwTWWbwUE9ZYkhi6rm8o389HNOs1h9JPY10fVf9dvwbRGk9MgbaruVHhMiWIAeq6pWv6SrEgmFuSL4m0fh5YP/n6jrTO0vQVLEXk5jQkkX63G1mc/r+m32bMzeO8dQRFBDEG6zyIwViHSCKaBuf78UihXbeQMHRtIEWIISE3zz3dcmwGMTcqkWeOa0IAACAASURBVEp/LEYIQFhvi0ASQdL6yFPAm4h3hkRHCJGYwBhLJPVr9tbnnUiEriPGCAmMGGwUiH2BIRHDjaosfQAuN1+XlNajFgMxJmLqR9mIYI1ZX0yGEBNNF/qCNaOMmEL/eois+xf+4dglBLfO/MZ1hSJjzM0McLrRYzSldY/FSIhx/drdfDeASN/VQujbh5DWwdr6PgD5w9c8xv6szI3zS2n92vdrXaV/ovV7Zl2xd72mUmjXY2K5OYlN4nqKLeuxNjffG9bYm2tonyrR9zYNob+OveuruoYu0NQt1apFxJBif16CQQwYb/C5xfl+7bAYgSTrokGO/WsHhDbsp5R2/pMfqpT6E6dBpFJKqbuCiNT0n2Lf91wfy13oNevbjzynR3F30rH7xNyp8bsPOEop3f9J/jlKKXQ6q1JKqbvHBwBSSq97rg/kbiMi7wUdu4+Hjt0nRsdPqRcmLayjlFJKKaWUUuq2aRCplFJKKaWUUuq2aRCplFJKKaWUUuq2aRCplFJKKaWUUuq2aRCplFJKKaWUUuq2aYsPpZRSSimllFK3TTORSimllFJKKaVumwaRSimllFJKKaVumwaRSimllFJKKaVumwaRSimllFJKKaVumwaRSimllFJKKaVumwaRSimllFJKKaVumwaRSimllFJKKaVumwaRSimllFJKKaVumwaRSimlntdE5B4R+WERuSQitYicE5HvFZGt5/rY7hQR2RGRvyUiPy0ij4hIKSIzEXm7iPy3IvK0/56LyBtE5BdFZF9EViLykIj8PRGxf8TP+mIR+e318y9E5N0i8nWfvLO780Tka0Ukrb/+1jPs86zHQUS+TkR+d73/bP34L/7knMWdJSJ/TkR+SkQur9+Hl0XkV0XkLz3NvnrdKfUCJyml5/oYlFJKqaclIi8H3gmcAH4W+AjwmcAbgYeBz04p7T13R3hniMg3Aj8AXAZ+C3gSOAn8FWAD+CngK9Mt/6iLyJett1fAjwH7wJcArwZ+MqX0lU/zc/4u8P3A3voxDfAVwD3A96SUvvWTdIp3jIi8BHg/YIEx8A0ppX/zlH2e9TiIyP8J/A/ABeAngQz4amAb+KaU0ps+Wef0ySYi3wb8r8Au8PP01+Ex4D8Hfiul9A9u2VevO6VeBDSIVEop9bwlIr8CfCHwzSml779l+z8H/j7wgymlb3yuju9OEZHPB0bAL6SU4i3bTwG/C7wE+IqU0k+tt0+BR+gDzM9OKf3eensB/CbweuCvpZR+9Jbnuo8+SF8Cr0spnVtv3wLeA7wceENK6V2fzHP9ZBIRAX4NuB/4j8C38pQg8uMZBxF5A/AO4FHgM1JKB7c813vpX7vX3Hiuu4mIfCXw48CvA38lpTR/yv0+pdSu/1+vO6VeJHQ6q1JKqeclEXkZfQB5DvhXT7n7O+g/dH6tiIzu8KHdcSml30wp/dytAeR6+xXg/1p/+3m33PUVwHHgR298kF/vXwHftv72bz/lx/xNIAfedGuwsw6I/rf1t3d7wP7NwOcDX09//Tydj2ccbnz/nTcCyPVjztFfu/n6Z95V1tOk/3dgBXzNUwNIgBsB5Jped0q9SGgQqZRS6vnq89e3v/o0wdOcPvMzBP7snT6w55kbH+K7W7bdGLtffpr930ofFLxBRPLbfMwvPWWfu46IPAB8N/B9KaW3/hG7fjzj8EIduzfQZ21/ETgQkb8sIv9QRP57EXn90+yv151SLxIaRCqllHq+evX69qPPcP/H1revugPH8rwkIg74b9bf3voh/BnHLqXUAY8DDnjZbT7mMn3m7h4RGX6Ch33Hrcfp39OvJf2f/pjdn9U4rDPhZ4HF+v6nupuv089Y314FHqRfD/ndwPcC7xSRt4jI8Vv21+tOqRcJDSKVUko9X22sb2fPcP+N7Zt34Fier74beC3wiymlX7ll+8czdrf7mI1nuP/57H+mLwLzN1JK5R+z77MdhxfydXpiffuNwAD4L4AJ/TX3K8CfB37ilv31ulPqRUKDSKWUUncrWd++KCvEicg301cD/Qjwtc/24evbZzN2d+V4i8hn0mcfv+dPqDjLxzsOd9W4rd1oySH0hZt+I6W0SCl9EPiv6CvRfu4zTG19Oi+a606pFzoNIpVSSj1f/XEZiOlT9nvREJG/A3wf8CHgjSml/afs8vGM3e0+5uhZHOpz6pZprB8Fvv02H/Zsx+GP2/+Py7Q9n90oEvRYSul9t96xzujeyH5/5vpWrzulXiQ0iFRKKfV89fD69pnWkr1yfftMayZfkETk7wFvAj5AH0BeeZrdnnHs1oHV/fSFeB67zcecpm9TcSGltPr4j/6OG9OfzwNAJSLpxhd9hV+A/3u97XvX3z+rcUgpLYGLwHh9/1PdzdfpjbE4fIb7bwSZg6fs/2K/7pR6wdMgUiml1PPVb61vv3DdauAmEZkAnw2UwO/c6QN7rojIPwT+BfAH9AHktWfY9TfXt3/xae778/RVbd+ZUqpv8zFf9JR97hY18G+f4ev31/u8ff39jamuH884vBDHDvqKqh3wShHJnub+165vz61v9bpT6kVCUtIp5koppZ6fRORX6HtFfnNK6ftv2f7Pgb8P/GBK6UXRQ05Evh34J/TN67/waaaw3rrvlL7x/ZTbb/p+P/BhXiRN30XkH9NnI78hpfRvbtn+rMdBRN5A33LmUeAzbvSKFJH76F+vEfCaW/sg3i1E5M3AX6fvgfltt2z/AvrprEfAfSmlQ73ulHrx0CBSKaXU85aIvBx4J32VyJ+l/7D5WcAb6acHviGltPfcHeGdISJfB/wIEIDv5+nX151LKf3ILY/5cuAngQr4UWAf+FL6lgo/CfzX6SkfAkTkm4B/CewBPwY09A3k76EvTPOtf5Ln9Vx6piByfd+zHgcR+R7gW+iLzfwkkAFfBewA35RSetMn7WQ+iUTkBH2A/ArgbcDvAvfSF9ZJwNeklH7ilv31ulPqRUCDSKWUUs9rIvIS+gzcX6T/QH4Z+Bngf/mjsnEvJLcEPH+Ut6SUPu8pj/ts4B/RZ4AK4BHgh4F/mVIKz/CzvgT4VuDT6Ze9fAh4U0rp330Cp/C880cFkev7n/U4rIP9vwt8ChDpeyv+s5TSz/+Jn8AdJCLbwLfRB45ngTn9NODvSin9J9PJ9bpT6oVPg0illFJKKaWUUrdNC+sopZRSSimllLptGkQqpZRSSimllLptGkQqpZRSSimllLptGkQqpZRSSimllLptGkQqpZRSSimllLptGkQqpZRSSimllLptGkQqpZRSSimllLptGkQqpZRSSimllLpt7rk+AKVe7ETkcWAKnHuOD0UppZRSSr2w3QccpZTu/0SeRINIpZ5708FgsP3AAw9sP9cHopRSSimlXrg+/OEPU5blJ/w8GkQq9dw798ADD2y/973vfa6PQymllFJKvYC97nWv48EHHzz3iT6ProlUSimllFJKKXXbNIhUSimllFJKKXXbNIhUSimllFJKKXXbNIhUSimllFJKKXXbNIhUSimllFJKKXXbNIhUSimllFJKKXXbNIhUSimllFJKKXXbtE+kUs8DDz4I8v+zd9/hdhT1H8ffH3o1QOgiBJQmKJLQS0gI7SdSpAiC0kRBVBABRUUIAiqiFEUEUQgoCEhVioAJoRdJKNJr6CHSgrRAyPf3x8why2bPvXtzz618Xs9zns2dmZ2dPXuSnO+dpp5uhZmZmZl1tYiebkHnuSfSzMzMzMzManMQaWZmZmZmZrU5iDQzMzMzM7PaHESamZmZmZlZbQ4izczMzMzMrDYHkWZmZmZmZlabg0gzMzMzMzOrzUGkmZmZmZmZ1dapIFLSIEkhaVQHztkjn7NHZ649MySNldQrt/eUtLiksyQ9K+n9/B4t0JPvV3eRtJCkVyT9rqfbUoekIfmZfK2n22JmZmZm1t3cE9lCnQxSRwFfBa4HjgaOBN5pUdN6u58CcwM/KyZKWkrSjyX9TdJjkqbl4O1TbVUmaW5JR0p6WNI7kiZJukDSym2cs5CkEyVNkDRF0vOSzpC0VLlsRIwDLgWOljTfzN2ymZmZmVnfNFtPN8BA0hzApsC/ImLXUl7PNKqbSFoa2Ac4MyKeK2WvQQqoA3gSmAws0E59cwLXAusDdwInAZ8AdgS2lLRxRNxeOmcgcAuwAjAGOA9YCdgzn7NuRDxRutTPgduB/SkFv2ZmZmZm/Zl7InuHxUnP4vmebkgP2If0y4xRFXl3AkOBBSLik8A9Ner7HimAvBBYOyJ+EBG7ADsA8wBnSCp/7n9GCiBPiIgREXFoRGwLHAAsCpxSvkhE3AE8BOwjadYa7TIzMzMz6xdaFkRKWknSpXlu25uSbpK0WQfOHy7pD5IekPS6pLcl3SfpCElzVZQfmYc2DpO0g6Q7JL2Vr3+epI934NobS5qchzB+rpS3tqQLJU2U9K6kZySdJmnJQplBeRjrRvnnKLzGtnPtCcBT+cfdC+eNqtHuIZIuysM1p0h6StIpkpYolft5rnPTUvpPc/rjFXVPlPR0Rfrmkq6U9FK+5uOSjpM0Qw9hHho6QdLHJB2f//yepJE5X6Tevmci4pby+RHxbETcGBGvt/deFOrbN//4/YiYVqjrMuBG4NPk55TPmZc0jPhN4IhSlScDE4DNJS1XccnzgKWBTeq0z8zMzMysP2jVcNZlgVuB+4DTgCWAnYCrJO0SEefXqOMHpCGEtwBXAHORepRGAsMkbRIR71ectx+wNfB30nzCtfO1V5P0uYiY0tZFJe0KnAE8AWwREU8V8vYETgem5PqfAZYH9ga2krRORDwNvEaaw7gHsEz+c8OEdu77RGAQqdfrHtJcO4C722n3F4CLAJF63Z4ChgDfBLaRtH5ENK49GjgUGEEa6tmwcT4uJ2lQo7ykVYHFKPUOSjo839srwOXAJOCzwMHA5/Owz3LANwdpiOhCwDXA66ShqQCrkD4r57V1rx3wSVJQ90hEPFmRfxWwIem+r8tp65LmY14TEf8rFo6IaZKuAb4BDCd9RopuzsdNgavba5ykcU2yVmrvXDMzMzOz3qJVQeRQ4FcRcUgjQdLJpMDyVElX1ehN2g94MiI+tDCNpKOAw0jDEauC0S2ANSPiP4VzzgW+DGwDXNDsgpK+D/yCFLhuHRGvFPJWIAXEE4CNivP1JG1MCsZOAr4YEa8BIyUNA5aJiJHt3OsHIuJESYNIQeTddc7Ni7mMIj2/YRFxYyHvB/me/gA0eoJvJgXCI0p1rJXvY9Oc96ec3Sg3plB+OCmAvBX4fL7nRt4ewJk5/8BSc5cAHiC9h2+W8jbIxzvbu+eaVszHR5rkP5qPK3TynIZ/5+PQWq0zMzMzM+sHWjWcdTJphc0PRMSdwDmkhVC+2F4FEfFEOYDMTszHzZuc+ptiAJmdno9rVZ0gaZYc5B4LXAJsUgwgs28CswMHlBd8iYgxpJ7JrSTN36RdXWkbYCBwfjGAzH5NCnw3zYvWEBFvk4K/wZIWzOWGku7vROC/FAJMKoJI0gIyAF8vBpC5/lGkntMPLQpUcFBFAAmp1xDghSbnddSAfJzcJL+RXhx6OzPnABARk0kr6C5dzqsSEUOqXqS5lWZmZmZmfUKreiLHl4cCZmOB3YHVgbPaqiDPTTuAFHCuAMxPGqrZ0GyOY1Uv1jP5uGBFHqRhoNsCvwW+W5w7V7BuPm4kac2K/EWBWXNbmw1T7CqD83FMOSMipkq6gTREdnXg6ULZYfl1CWlI53vADaShnRsD5EVihgIPl4LndXP5HSXtWNGmOYBFJA2MiJcL6e8A9za5j4H5+GqT/FZrfJ46sg1Le+e8Qhr6a2ZmZmb2kdCqIPLFJukT83FAk3wAJM1OCnLWIs2rPJ/UO/ZeLnIEMGeT01+rSJuaj81WzRyay/yjSQAJ0wOcQ5rkN/TEPoGN97NZD14jvdh7NprUWzyCFESOAG6PiDckjQa+lOdCzpvrP6dU50DS56W8+EzZfEAxiJzUpIcZ4O18nGHhpJnU6DVs9nn7WKnczJ5TNDfT78PMzMzMrN9rVRDZrCdm8Xxs9gW8YRtSAHlWROxRzMgrjbYXuHTUcOBfwD8kbR8RV1SU+SC4qLs6aDdqtG3xJvlLlMoB3AG8AWyitC/iakwfgtzo0dyEtA1GMa14zVkiYqEOtrWtXr9J+TiwjTId8XA+Vs1fhLQoEnx4/uPMnAOkYdGkQL1qER8zMzMzs36pVXMiBzeZGzgsH+9q5/xP5eNFFXkbVaR1SkTcm+t9BbhY0rYVxW7Lxw07UPX78MGQ0K7UeD+HlTMkzcb0BWvGN9IjYipp6OqKpC0tROqdJCIeIw17HUEa1jqN6auXNtwGLChplVbdBNOHubZqddLHSfexgqRlK/L/Lx+LAfJtpJ7E9cuf4RwkNhYnKr8fkN5L0c5KumZmZmZm/UmrgsgBwOHFBElrkBZamUwaPtmWCfk4rFTHcqTFb1ouIh4kDWt9EfibpJ1KRU4mDac9Ia/U+iGS5pBUDjAbwzhrLbTSCZeSAuAvS1qnlPddYDngX3n7kaJG8PRD0r6It5fyNiJtq3JPxUJDJ+Tj6cU9MhskzVvRlvbcSAq8O3pepTxs9tT84y9zENho3zakXwg8QNoKpnHOG8CfScN4R5aq/DZpbunVEVHe3oNCu6sCTDMzMzOzfqlVw1lvAPaWtDZpO4nGPpGzAPvUGA76D+Ax4HuSPkPqaVsa+AJpz8guCcoi4rEcCI4BzpE0Z0ScnfMekrQXaQ/J+yX9kzSkcfbcng1J8zaLvWijgR1JvZtXknq4noqIP7e43W/ktv0NuF7S30g9cENIPWcTgX0qTh2dj4sC/4yId0t5e5TKFa85WtKhwM+BR/P9PUmaA7kMKQC9ibTlSt37mJznYw6TtGBEzLDAjqRRhR8b7/WxkhoLOf0xIm4qlDme9LnZAbg917806bm8BexVMQ/2R6RfYHxP0udIQ39XJg2zngR8q8ktbEYKgi+rcbtmZmZmZv1Cq4LIJ4F9SfsT7ktaBGc88NOIaHcT9oh4M++9+AvSl/kNSRu7H0UKCsq9hC0TEU9JGkoKnM7MgeTpOe8vku4BDiLNo9yM1IP3PHAhM+5b+UdSQLUz8H3S+3s9qaer1e2+TNL6pABoc1Jv8ERST9xREfF8xWn3AC8BCzPjnMcxTf5cvOaxkm4mbfexASnImgw8R9qX8tyZuJVTSO/rzsDvK/J3r0jbrvDnsaTgtdHGKZI2AQ4FdiHtW/k6qff2iIh4oFxZRLwsaV3S3NttSZ+/l0l7Xx4eEc+Wz5E0IJe9PCKeKeebmZmZmfVXar5wplnXy/NH/wO8C6zexkquvYqk7wC/AYZW7NXZ0brGweDB3b9TjJmZmZl1t578tjtkyBDGjx8/Pu9VPtNaNSfSbKZExPvAwaTVYrdrp3ivIGlu0rzSizobQJqZmZmZ9TWtGs5qNtMi4kpJB9C6/SK72iDS8N1RPdsMMzMzM7Pu5yDSeoWI+E1Pt6GuvLLvyJ5uh5mZmZlZT/BwVjMzMzMzM6vNQaSZmZmZmZnV5uGsZr3A4MEwzouzmpmZmVkf4J5IMzMzMzMzq81BpJmZmZmZmdXmINLMzMzMzMxqcxBpZmZmZmZmtTmINDMzMzMzs9ocRJqZmZmZmVltDiLNzMzMzMysNgeRZmZmZmZmVpuDSDMzMzMzM6vNQaSZmZmZmZnV5iDSzMzMzMzManMQaWZmZmZmZrU5iDQzMzMzM7PaHESamZmZmZlZbQ4izczMzMzMrLYuCSIlDZIUkkZ1Rf0daMeo3I5BPdmO3iq/N2M7WUePPGtJc0h6VNIV3XndfO0h+Z6/1t3XNjMzMzPrae6J7CRJI3NAMayn2/IRsz/wKeDwtgopuTY/o5A0W0WZtST9XNJVkibmcs82qzMixgGXAkdLmq+zN2JmZmZm1pc4iLTOeg5YGfhhd11Q0rzAj4Frc0DXlm8Dw4F32iizC3AoMAJ4sWYzfg4sTgpmzczMzMw+MhxEWqdExHsR8VBEvNCNl90FWAAY1VYhSSsCxwK/ou3gcBQwGJgvIlar04CIuAN4CNhH0qx1zjEzMzMz6w+6PIiUtJKkSyW9IulNSTdJ2qyi3ABJh0gaI+lZSe9K+q+kv0tap0ndIWmspMUl/VHSc5Lel7RHqegskr4n6SFJ7+T6T5D0sSb1LiXpZElPSJoi6eXcjjVL5SYAR+QfrysMmYxSuSUk/U7ShMJ9XSxpSMW198h17CFpeL6//0l6XdIVklZu+mZX38sckn4i6fF8L09KOlrSnE3KLynpcEk356Gd70p6XtK5VdduNidS0mKSfiXp4fzcX8t/HiVpuVxmi3zuGU3aMqekl/Kr2N6vAe+ShpQ2u+/ZgD8DTzL9GVWKiLsj4q6IeLetchXOA5YGNungeWZmZmZmfdYM88NabFngVuA+4DRgCWAn4CpJu0TE+YWyKwPHADcAVwCvkr6gbw38n6StIuKfFddYCLgNeAO4GJjGjL1OJwBDgQuAy4DNge8CG0raICI+GOooaTBwTa736lznwsC2wE2SvhgRV+biJ+b0jYCzgAnlxklaFrgJWBIYA/wV+ASwI7ClpO0j4vKK+/oCsA1wFXAq8Gng88Cakj4dES9VnFO+tvI9bwM8DpwMzAHsBXymyWlDSUM7rwMuIr2vywM7AFtLWj8i7mnnuvMANwOfBK4F/gEIWCa35ULgCdL7+ziwk6QDI2JyqartgYHAryNiSq57ALAG8O+IeKuNZhwGrA6sGxFT0lvRcjfn46ake2mTpGZDb1dqWYvMzMzMzLpYVweRQ4FfRcQhjQRJJ5MCy1MlXRURr+esB4Ely8GRpKWAO0iBYFUQ+RlSj9NeETG1STvWBz4XEU/lOn8I/A3YDjgEOCqnz0YKuuYDhkfE9YV2LAn8G/iTpEERMSUiTpS0ACmIHBURYyuufSopgDwsIo4p1HcKKWA+S9IyEfFG6bxtgc0jYnThnJ+TAry9gF82udeiL5OCttvy/byT6zki30uVMcBiEfG/YqKk1UhB0y+A/2vnuiNIAeSJEXFgqZ45gDkBIiIknQocB3yVFOQWfSMf/1BIWxeYFbiz2cVzj/GPgV9ERNNyLdB4D4d24TXMzMzMzHqVrh7OOhn4aTEhf6k/hzSn7YuF9MlVvWsR8Syp52olSUtXXONd4OA2AkiAkxoBZK5zGil4nEYKyBq2JAU/vy0GkPmc50mB2+KkIKldOQDeDHiaUtAXEbeQeiUXIgWzZecVA8isEUytVef6wJ75+KNib2tEvEIOnMsiYlI5gMzp95ACzOGSZq95/bcr6nm3VP+ZpEVv9imWy/MZNwKui4hHClmNz0DlHExJc5N+qfAApc9eq+We03cKbWqv/JCqF2lupZmZmZlZn9DVPZHjqwISYCywO2m44VmNREnrAweQepsWJQ29LPo4KSArmhARk9ppx/XlhIh4QtIzwCBJC0TEa/m6AMtIGllRz/L5uDJwZUV+2er5eGNEvFeRPwb4Si53dimvqgftmXxcsMa1IS0WM400nLZsbLOTJG0J7EsaNrowM35OFqZJEJddT1q19dA8PPhKUi/m3RHxfrFgRLws6QJgN0nr5eAapvdCnlqqe2A+vtrk2r8ElgPWavKet9orwGLdcB0zMzMzs16hq4PIZitiTszHAY0ESV8k9Ti+Q5pH9zjwJikIGkbqlapaDGZiRVpH2rFMbsdrTA9Qdmynvrp7Azbur1nA1UhfoCLvtXJCREzNc/vqrgY6AHilSTBV+b5J2h84iRSkXUsK2t8CgjTEdjWqn0Oxna/nxZCOJM1p3TxnvZSH8R5datMpwG6k3shb8iI6uwOTmHHxnEbv5lwVbd8I+BYwMiLubquNLTQ3FT2uZmZmZmb9VVcHkc16aBbPx+JCKkeRhqauEREPFgtLOo0URFaJJunldjxcox2N4zYR8fca9banUd/iTfKXKJVrtcnAQpJmrwgkZ2hTnhN6JCnAHFzetkPSuuVzmsnDkL+WF/f5NLAxKcA7nDSM+ieFsrdLGg98SdJ3SXMuBwLHVqyY2uh1HsiMVict4HOkpCObNO29HIiv3tlAU9IspF8APNmZeszMzMzM+pKuDiIHS5q/YkjrsHy8q5D2KeD+igByFmCDTrZjI9IiNsV6lyOtkjohD2WFtAANwIZA3SCyMTyzqnewcX8bSJqtYt7m8HwcX/NaHTWetP3EBqTVVouGVZRfmBQUXVwRQM5HGh7bIRERwP3A/ZIuJfVsbkshiMx+D5xO6pH8IumXA6dXVHlvPlataHof8KcmTdmJ1IN8Rq775fp30dSKpKC1u3o9zczMzMx6XFcvrDOA1PP0AUlrALuSeskuKWRNAJbPq6A2yoq0x9+nO9mOAyQtU6h3FtKKoLOQFnZpuIw0jPZbkj5fVZGkdfMWFg2NYGSGxVVyb9y1wCDSliLFetYGdiENG72kfG6LNO7tGEkfDP+UtBBpC4yySaShq0Ny0NgoPztpiOvCdS4qaVVJgyqyGj3TVVtznEv6THyfFPRfGxGPV5S7H/gvMMPeoRHxr4jYu+rF9Oe0T057pnz+TGi0oRygm5mZmZn1W13dE3kDsHcOmG5m+j6Rs5C+zL9eKHsCaRGVuyRdBLxH2prj06R9BrfqRDtuBu6WdD4pUNmcNLdvHIVVUyPiPUnbkfb8u0LSLaReprdIvZZrkhZtWYLpgdB1pHmbP5e0KnnBl4g4Oufvm69/nKTNSAvmNPaJnAbs2WTxoVb4K+n93hq4T9JlwOykPR//TVqJ9gMRMU3Sb0jbiPwnl5+D1GO6UL7X4bRvE+D4/P49RApOlyJtNzKNFMB/SES8JeksYP+cdFpVxXlbkEuAb0haJSLur9GeNklaiXTPRQtKGlX4+eCK1YM3I/VEX9bZNpiZmZmZ9RVd3RP5JLAeKbDaF/gSaYjl5yPiIdpPVgAAIABJREFU/GLBiDiNtCXFC6RFVXYlrUa6Np0f7nkgcDRpCOcBwCKknrWNi1tf5HbcSwowjyX1pO4JfBMYQhqe+lXgpUL5B3N7JwL7keZ2HlXIf4K0yumppOGPB5Pm/P0TWD8iuiwAyUNJdyT15s4CfJsUUJ5JehZVfgIcRFosZh/S9iN3krYVKa+M28zVwImkxW+2yfUNJfXKbhgRFzY574x8fIG2hxOfko+71WxPexYnPcPGC2CeUtqHFlOSNIA0LPfyFvVqmpmZmZn1CUpxhlnPk7QHKcA9OiLKcybLZa8mBfvLRkS3r44q6TvAb4ChEXFjJ+saN3jw4MHjxo1rTePMzMzMzCoMGTKE8ePHj897lc+0ru6JNKslrwz7PWAqTYaylhxMmqO5X1e2q4qkuYEfAhd1NoA0MzMzM+trunpOpFmbJG1AWkhnGPAZ4OS8IFGbIuI/kvYC5u/aFlYaBPwBGNUD1zYzMzMz61EOIq2nbUKas/kKaUuP79c9MSLO7qpGtXPdB4GRPXFtMzMzM7Oe5iDSelREjMQBmZmZmZlZn+E5kWZmZmZmZlabg0gzMzMzMzOrzUGkmZmZmZmZ1eYg0szMzMzMzGpzEGlmZmZmZma1OYg0MzMzMzOz2hxEmpmZmZmZWW0OIs3MzMzMzKw2B5FmZmZmZmZWm4NIMzMzMzMzq81BpJmZmZmZmdXmINLMzMzMzMxqcxBpZmZmZmZmtTmINDMzMzMzs9ocRJqZmZmZmVltDiLNzMzMzMysNgeRZmZmZmZmVlu/DiIlDZMUkkaW0sdKik7UO0HShM62ry+QtEd+D/fogWt36H2WNCi3dVST/BUkvSvpkE626+OS3pZ0VGfqMTMzMzPri/p1EGlWcjzwMvC7YqKkkTn4bPbaolg+Ip4DTgUOkvSJ7mu+mZmZmVnPm62nG9BDdgPm6elG9BGXALcBL/R0QzpD0nrAlsCPI+KtJsXOAiZUpD9WkXYc8B3gJ8A3WtFGMzMzM7O+4CMZREbE0z3dhr4iIiYDk3u6HS3wLWAa8Oc2yoyKiLF1KouI5yVdC+wq6ZD8PpmZmZmZ9XstHc4qaW1JF0qamOeePSPpNElLVpQdm4cKzibpR5IelTQln3OspDmaXGNXSePznLRJkv4sacmOzHOsKqtkd0m3SPqvpHdyW66WtFOTeuaRdJykp3PbH5P0A0mq047S+zC7pMMlPZ6v/ZCkrxfK7SvpP/m+n5V0pKQZnl+ew3iRpCdy2dcl3SzpK+1cf458/YfzvYwq1Fc5J1LS5rnuNyW9IulSSStJGpXPGVRxzpck3SBpcm7ffyT9UNKcHXjP5pd0fH4fGu/V92jyeZb0MWAH4JaIeKbudWo4j9SjvXML6zQzMzMz69Va1hMpaU/gdGAK8HfgGWB5YG9gK0nrNOkBPBfYELgKeB34PPB9YFFgz9I1DgF+CbxKGno4GdgUuJnO95YdA/wQeBK4INe3BLAmsCNwfqn87MA1wJK57VOBbYFfAHMBR3bw+ucBawNXAu+Rgp4/SHoP+CywO3A5MBrYGjgceAs4tlTP74EHgBtIQ1AHkt7TP0taMSJ+0uT6F+V7vQq4FJjUVmNzYH0u6XlfkK+1HnArcE+Tc35Geo9fyue+Afwf8DNgc0mbRsR77Vx3TtJ7sGa+zjnAAqRhpRs1OW0oMAdwU1t1AxtIGkL6ezEBGB0RL7VR/uZ83BQ4rZ26zczMzMz6hZYEkZJWIH2JngBslBceaeRtDFwLnAR8seL0TwKrRMQrufyPScHBbpJ+GBETc/pypGDjJWBwo0dJ0qGkgKSzvUH7AM8Bq5bnzElauKL8krmdm0bE27nckcAjwIGSftZeQFSydL72a7muXwMPAScArwGfbbyvSqvNPgYcLOnXETG1UM+qEfF4qf1zkILDQyWdWnw+Bcvkc9sKmhr1zU9aWGYqsG5E3FPI+wXwg4pz1iUFkM8AaxWe6w9J8y6/ABxCesZtOYgUQF4M7BgR0wrXHdfknA3y8c526i6vtjpF0nHA4RExQy93RDwm6TVSkNouSc3at1Kd883MzMzMeoNWDWf9Jqln7oBygBIRY0g9k1vl4KPsB40AMpd/k9S7NAuwRqHcLqSg97fFIYn5y/2hwPstuI/3quppI7DavxFA5nKTgMuAAcCKHbz2oY0AMtf1BKnnbAHgqOL7msv9A1gY+HiprR8KIHPau6QVSWcDRjS5/k/qBJDZNrld5xQDyOxoUtBbtlcjvxFA5rZNJQWG00i91u3ZM5f9fiOAzPU8CfymyTlL52OzxYHuye1bDpibFFB/Pd/HYaRe6mYmAotImqtG283MzMzM+rxWDWddNx83krRmRf6iwKzACszYW1TVO9QIEhcspK2ejzMMSYyIpyQ9Awyq2+AK55BW27xf0t+A64Fb21gwZXJEVK3aWdX2Oqreh+fzsaoHqxFULgU81UiUtDSpJ3AEKXiau3Tex6l2R+2Wtv0s3pB0NzCslDU4H8dUnPOIpGeBZSUtUAymi/IvIT4FPFMVLANjgSMq0gfm46tV9UbEJaWkp4E/ShpPWpn2YEnHNwmyG78AWRh4tqr+wnWGVKXnHsrBVXlmZmZmZr1Nq4LIxpf09jZxn6+c0CRgaAzPnLWQNiAfX2xS94t0Log8EHic1CN1aH5NlXQlcFBFwFgZ6FDd9nY1CVYbdbWVN3sjIQ/5vYMUwN5ImrM5mdS7Oog0r7LZAjYTm6RXqfMsmp3TrDfwBVLQO4Dm72171212D43e4g71FkbEeEl3AOuTflHyj4pijSD97Yo8MzMzM7N+p1VBZCPIGRARr7eozrJGvYsB91fkL9aZyiPifdK8zZMkLUqaR7czaVGdVSStEhFTOnONbvA9UkC/Z0SMKmZI+jIpiKxUNeevDcVnUaUqvfEZWZwUrJctUSpXpZHX7LqLN0lvLBI0sEl+W/6bj/M2yR9ICuhfaZJvZmZmZtavtGpO5G35uGGL6qtyVz5uUM6QtAzwiVZdKCImRcTFEfEl0vDLTwKrtqr+LvSpfLyoIq/ZyqUzo61nMR/wuTbOGVZxzqdIw3KfbDaUFSAi/kdaUOjjkj5ZUWSGurN787FDC9hImp3pw0yfqMiflzQ8+N4OBuFmZmZmZn1Wq4LIk0mL0pyQV2r9kLwHYWcDzHNJPT7fkfRBwJj3ZPw5HRw+WmrfnJJGlPd3zEHEQvnHt2Y8s9eZkI/DiomSNqfeojV1XUbqFdxV0mqlvMNIi+6UndHIl7RIoW2zAr8ifRb/VOPaZ+ayxxb3yZS0LLB/k3PG5uM65Yy85+QMQW9e0fZE0hDbh6ies7oW6XN3XY12m5mZmZn1Cy0ZzhoRD0naixQo3C/pn6StLmYnfQnfkDQscKa3MoiIxyUdTtoC4h5J5zN9n8iFSCtsfnYmq58b+BcwQdLtpIVq5sp1rwz8PSIenNm2d6NTSKuX/k3SReQtS4AtSHs57tSKi0TE65L2A/4C3CKpuE/kaqRFiTYiraLaOOcWSb8k7QF6n6QLgTdJ+0SuSlqk57gal/81aT/O7YHxkq4mzZXcibQ35tYV7b1P0sPACEmz5qHLDQOBu/JiQPfm+1gEGA4sS9pS5svFlWALNsvHqp5fMzMzM7N+qVU9kUTEX4AhpFVOPwt8G/gKaYjlhcB+LbjGz4HdSEHensDXgAdJC5/MxvS5eh31JmlF04dIgdABpC1FXidtX7JjpxreTSLiXlLwcwvweVLbPwZsR9rXsZXXOhfYkhS875SvNZm0AM0budjrpXN+AHwZeJT0HPcnfQYPI+23+W6N604BNiHtn7kI6VkNI20tcmAbp/6eNGdys1L6K8BvgSnA5qR5pTsB/wOOJe1hene5stwL+hXgnoi4tb12m5mZmZn1F+oPU7kkfYy0YufdEbFue+Wt6+ThqU8Ac0ZEs4Vuul3+jDwO3BIR27Sgvq1I+59+Nf8CpTN1jRs8ePDgceOqdnIxMzMzM2uNIUOGMH78+PHNtp6rq2U9kd1B0iJ5nmIxbTbSEMe5gPJ+f9ZFJC0gaZ5Smki9iksDF/dIw5rIqwYfAWwtaY3O1JXv80jSPMlzWtA8MzMzM7M+o1VbfHSX7YGfSvoX8AxpLuRQYAXgbtKwROse6wDnS7qGtKDPfDntc6RnM7LHWtbcaaRFfzq1HQxpWOzfgUu9KquZmZmZfdT0tSDydtICLEOZvuffk8AxwLER4Q3fu8/DwOWk+aifJ32WngV+A/wsIia1cW6PyAvq/KwF9bxA7wySzczMzMy6XJ8KIiPiLtIiMdbDIuJJYNeeboeZmZmZmXWvPjUn0szMzMzMzHqWg0gzMzMzMzOrzUGkmZmZmZmZ1eYg0szMzMzMzGpzEGlmZmZmZma1OYg0MzMzMzOz2hxEmpmZmZmZWW0OIs3MzMzMzKw2B5FmZmZmZmZWm4NIMzMzMzMzq81BpJmZmZmZmdXmINLMzMzMzMxqcxBpZmZmZmZmtTmINDMzMzMzs9ocRJqZmZmZmVltDiLNzMzMzMysNgeRZmZmZmZmVpuDSDMzMzMzM6vNQWQfJWl2SUdKelTSFEkhaVtJg/KfR/V0G7uSpLGS/iOpWz/Dkj4u6W1JR3Xndc3MzMzMegsHkX3XQcDhwPPAr4AjgYd6tEXdRNIOwEbAERExrZDeCKCbvc6rUfecku7L5Z8t50fEc8CpwEGSPtHK+zIzMzMz6wtm6+kG2Ez7AvAGsGlEvNtIlDSopxrUHSQJOBp4BLikSbF7gEsr0u+rcYmfAcu0U+Y44DvAT4Bv1KjTzMzMzKzfcBDZdy0JvFwMID8iNgFWBH4cEdGkzN0RMbKjFUsaBhwI7Af8vlm5iHhe0rXArpIOiYjJHb2WmZmZmVlf5eGsHSBpa0mjJb2Q5yE+L+l6SfsVykyQNKHJ+SPzMMlhpfTIc/wWlvSHQv33S9qzVHaUpACWBZYpDNWsvGbp3CUk/S638V1J/5V0saQhpXKb5zqPKaVvXLjeJ0p5F+T05UrpK+U2P5Pv6UVJ50pasaJ9oxp1SPqOpHvz/MOxhWJfy8fz27vfjpD0MWAUMDoiTq1xynnAPMDOrWyHmZmZmVlv557ImiR9AzgNmAj8A3gJWBT4LLAncEonL7EAcDPwLnAhMBewA3CGpGkRcVYudykwAfhu/vnEfHytnfYvC9xE6sEcA/wV+ASwI7ClpO0j4vJc/MbcjhHAjwvVbFz48whS0NUYYjoMmBARTxSuuQVwMTA76T17DFgK2C5fc3hEjK9o7knAhsAVwJXA+4XrbAxMjIjH27jdJSXtAwwEXgZujYh72ygP8BtgQaYHqe25OR83JX0u2iVpXJOslWpe08zMzMysxzmIrG8fUmC1WkRMKmZIWrgF9a8G/AnYJyIaQdMJwL3AD4CzACLiUuBSSXvkn0fWrP9UUgB5WER80MMo6RTgBuAsSctExBsR8Zak24H1JA0oDNccAdwFLE0hiCQF0ouQAsVGvQuSAtW3gKER8UAhbxXgduCPwOCKtg4GVo+IJ0vpK+brXD7jKR+yaX59IPdm7h4RT5cLS/oisDuwd1V+lYh4TNJrwNA65c3MzMzM+gsPZ+2YqcB75cSIeKkFdb8FfK8RQOZ6HyD1eK0saf6ZrVjSUsBmwNPAL4t5EXELKdhbiNRD2DAamJW0Cir5+msA1wLXkYLIhhGFcxp2I/WuHlEMIPM17wdOB1aX9OmKJv+yIoCEFLwCvFB5o+k9PAoYQupVXDC3/zpST+loSfMWT5C0GKkn8aqI+FOTepuZCCwiaa46hSNiSNWLj8iqumZmZmbWPziIrO8c0hy4+yWdkPdkXKSF9T8aEa9XpD+Tjwt0ou7V8/HGiJghCCYNby2WK6Y1AsSNSD3Xo3PeEpJWznkbl84BWDcfV8tzQT/0AlbI+Sszozua3MfAfHy1KjMiJkXE4RExPiJey68bSAH07cCngL1Lp51OGm779SbXbMsr+diKnmgzMzMzsz7Bw1lriojjJb1EWrlzf9KcxJB0PXBIRNzZyUs0m9M4NR9n7UTdA/KxWQ9eI70YqN4GvMn0IHIEaTjvTaQ5mQAjJD1KGtL5QERMLJzfCPjaC87mq0ibWJEG8HY+1ur5a4iIqZL+CKxNautJAJJ2A7YiDXN9riN1ZnOX2mVmZmZm1u+5J7IDIuLsiFiHFCBtSZrDOBS4WtKiudg0mgfnnelN7IzGnMbFm+QvUSpH7rG8CVhF0hKkIPLWiHgrIh4BniVtt7EWMD8f7oUs1rVaRKiN11nMqNnWHY25qAOb5Lflv/lYHM7amI95VmHV2cir3wJ8vJBW9ewGkoL8VyryzMzMzMz6JfdEzoSIeI20auiVkmYB9iKtJnoRaajlZyXNXjF0dI3ubekH7srHDSTNFhFTS/nD87G8UupoYHPSNharAkcU8sYA2xTqHv3hU7kN2J70vrS3Mmpd95NWap2Z1UzXyccnCmm3Ut0TCmmV1rdI80UBphQz89zKjwP3tLFfpZmZmZlZv+OeyJokbSGpKuhu9EC+lY93kILz8v6OewDrd1kD2xARz5IWxBnE9K1BAJC0NrALKfi9pHRqo3fxUEB8OFAcQxomux+p93Vs6dwzSUN0j5C0VrlNkmYp75dZ4z4mA3eTgvS5y/mS1pY0R0X6xsCB+ce/FOo7PyL2rnrlIq8W0spDVtciDTG+riP3YGZmZmbW17knsr7zgHckNeYEitTLtiYwDvhXLvdbUgD5e0kjSAvjrAasR9qa4gvd2+wP7Eta6fU4SZsBdzJ9n8hpwJ4R8b/SOXeRhmouCrzBhxe8aQSUiwJ35t7ZD0TEy5J2IAWmt0kaTepJnEZaZXVd0nDQDs1vJPX2DiEt5nNFKe9Y0vDbsaThtpC2H2ks/POTvBptK2xWaI+ZmZmZ2UeGeyLrO5Q0/HEwqfdtT9Kqnj8AhjeGrubtLDYhBWxbAd8gLUizLinY7BER8QRpOO2ppP0WDwb+D/gnsH5EXFZxTrGH8YbiMNjcu/lI/rE8H7JRZjQpiDuF1Au6L2l11FXzOTvPxK38ifR+7laR92fSKqxrkhb02Q9YHriAtFfl0TNxvRnkIcxfIQ1lvbUVdZqZmZmZ9RXydC7raySdBuwODCqtCNtd198K+Dvw1Yj4S3vla9Q3bvDgwYPHjeux3zGYmZmZ2UfAkCFDGD9+/Pi8V/lMc0+k9UWHk3ojf9zdF5Yk4EjScOBzuvv6ZmZmZmY9zUGk9TkR8SJpOOnzeWhpd1qc1Av5da/KamZmZmYfRV5Yx/qkiPg7KZjr7uu+AIzs7uuamZmZmfUW7ok0MzMzMzOz2hxEmpmZmZmZWW0OIs3MzMzMzKw2B5FmZmZmZmZWm4NIMzMzMzMzq81BpJmZmZmZmdXmINLMzMzMzMxqcxBpZmZmZmZmtTmINDMzMzMzs9ocRJqZmZmZmVltDiLNzMzMzMysNgeRZmZmZmZmVpuDSDMzMzMzM6vNQaSZmZmZmZnV5iDSzMzMzMzManMQaWZmZmZmZrU5iDQzMzMzM7PaHESamZmZmZlZbQ4i+zFJIWlsKW1kTh82s2V7C0k/lfSOpE/0wLV/K+lVSQt397XNzMzMzHqSg8guJmlUDsQG9XRb+pMcOB4M/CEininlHStptKRnJL0t6RVJd0k6QtLANupcT9KVufxbku6V9F1Js1YUPwaYExjZyvsyMzMzM+vtHET2bysDu3Xi/JNzHXe0pjkt9RNSEHdcRd6BwLzAtcBJwDnAVFLAd29Vz6WkbYAbgKHAJcDvgDmAE4DzyuUjYiIwCthH0tKdvhszMzMzsz5itp5ugHWdiHiok+e/BLzUoua0jKQBwK7A6HIvZPaxiHin4rxjgB8BPwT2K6R/DDgdeB8YFhF35vSfAGOAHSTtHBHlYPIs4JvAN4DDOn1jZmZmZmZ9QK/siZS0dR6O+IKkKZKel3S9pOIX/7/mYaLLl849O6ePLqXPL+k9STdUXO/Lkq7Lc9zekfSgpMMkzdmkfSvlYarP5Pa9KOlcSSuWygWwe/7xydyukDShnfvfPJc7ppS+caGOT5TyLsjpyxWvX57n2BFtzJ/cVtJfJD0i6U1Jb0gaJ2l/STN8pgpDepeV9G1JD+T3eYKkH0lSLrejpDtynZMknSxproqmfRmYBzi/qt1VAWR2QT4uX0rfAVgEOK8RQBbqaQSH36y4zu3ABGCvxj2YmZmZmfV3va4nUtI3gNOAicA/SD1hiwKfBfYETslFRwM7AyOARwtVDM/H9STNVQgoNiLdbzm4/BOwF/AscDHwGrAOcBQwQtKmETG1UH6LXG723L7HgKWA7YAtJQ2PiPG5+JHAtsBqpGGVr+X0xrGZG4F38739uJC+ceHPI0jDKckBzDBgQkQ80U7drfALYBpwO/AcMCC37SRgTeCrTc77Famd/wCuAbYmzS2cQ9Irud5LSfe/KfAtYFZmDOA2ycebOtjurfLx3lJ64339Z8U5NwBvkT5Pc0bElFL+zaRe0VWA+zrYHjMzMzOzPqfXBZHAPqQAarWImFTMKK2EOSYfRwCn5vwVSQHdtaQgZH2mB40jSuchaQ9SAHkJsGtEvF3IGwkcQQpkTsppCwJ/JQUVQyPigUL5VUhB1R+BwQARMTIvqLMacGJETKjzBkTEW5JuJwUuAyJicuEe7gKWphBEkgLsRUjBWXfYMiIeLybkHsgzgd0knZx76cqGAJ+NiOfyOSNJQfghpPd0SEQ8mPPmJN3rXpKOKH0WNgD+BzzSViMlHQzMRwpy18jn3UsKVosaPcgz1BcRUyU9SQoSlwMeLBX5NymIHEo7QaSkcU2yVmrrPDMzMzOz3qRXDmclLYLyXjkxz9Fr/PkJ0lDC4YWhhI1A8XDS/LYRhdNHAG+SAr2GA/K19ioGkNlRwMukAKFhN2AB4IhiAJnbcz9pXt3qkj7d/i22azSpF24jSMNxSYHQtcB1zHhvjXO6XDmAzGnTyME2sHmTU49qBJD5nNeAv5OGpv6+EUDmvCmk4apzkBb3AUDSHMBiwMSIiHaaejDpFwHfJQWQ/wQ2i4j/lsoNyMfJVGukL1CRNzEfvbiOmZmZmX0k9MaeyHOAXwP3SzofuB64ueKLP6Rexb2Az5F6rTYGXoiI23KvzwgASYsAqwLXRMS7OW0eUg/hS8B3m0xpm0IhgAHWzcfVci9a2Qr5uDLwQEV+R4whrSY6ghRoFYfjTiAt9rJyDrw2LpzT5ZS2yTgE+Dypd27eUpGPNzn1zoq05/OxqpeuEXAuVUhrbNHxanvtjIjFc3sXA9Yj9UDeJekLhSHHdTQ+HFVB6yv52O5+kRExpLLy9Fkd3IH2mJmZmZn1mF4XREbE8ZJeIq2euT+pFykkXQ8cUlz4hBRQ7UWau3gPab7dVYW87yut5LkxKRAo9tQtmNMWIfVW1dEIYL7eTrn5atbXlttIPaeNXsYRpGG+N5GCSEj3/ShpKOUDeduJLiVpAdIQzmVJW3+cTQqkppJ66g4gbb1Rpaqnb2qNvNkLaY0e46oFdypFxIvAJZLGk4asnk36pUK5XQPK52Yfa6ONc5faZWZmZmbWr/XK4awRcXZErEMK2rYE/kQKlK6WtGihaKPnbRNSb+RApgeKY0jDQYdTMR+S6QHBXRGhtl4V56zWzjlnteA9eI8UMK4iaYl8D7dGxFsR8QhpIaBNgLWA+emmXkhgb1IAeWRErB0R+0XEYRExkiarpbZSHgL7LtMD+o6c+xSph3iV0vzah/NxhfI5kmYj3e9UoGrRokY7JlXkmZmZmZn1O70yiGyIiNci4sqI+DppEZmFgA0L+RNJQcGGwBY5uRFM3UwajjqC1BP5KmnIa+PcN4D7SQHFQjWbdFs+bthmqQ97Px9n7cA5DY2AeGdSz1mxJ3UMqed101LZrvapfLyoIm+jbmrDf4AllPZ37Kgl8/H9QlrjM7MFMxpKmrN5S8XKrDB9UZy7Z6ItZmZmZmZ9Tq8LIiVtkXt/yho9kG+V0seQvuQfADwaEU8D5IVybgW+BHwSGJsXfyk6nrRwyxl5mGa5LQtKKs5VO5O0PccRktaqKD9LeU9F0uI8MHMLrzSCm0OZcTjuGNLwy/1I222MnYn6Z8aEfBxWTJS0OvDDbmrDWNJnt+oZrCRp8Yr0WfK+m4uSAsLinMoLSXNjd5a0RuGcuYCj84+/b9KWdUgB6Qz7j5qZmZmZ9Ue9bk4kcB7wjqTG3D+Rev7WJC2+8q9S+dHAt0nBwcUVecMKf/6QiDhD0hBSIPa4pKuBp0k9nsuSeqHOBPbN5V+WtANpS5DbJI0m9WZOIwWJ65KGNxbn640mLUJzuqQLgTeA1yLi5BrvxV2k+YaL5vPuKNVLzrszD/PsDmeT7udEScNJe3QuD3yB9P7v1A1tuAg4iLQKbPnzsAVwnKQbgMdJQfxipF7S5UirqX5oTmtEvC7p66Rgcqyk80jv+9ak7T8upGKobp5vuxYwurANi5mZmZlZv9breiJJvW63klar3A/Yk7Swyg+A4XmuYNFYUhAHM84LLPfczSAivkXahP5W0hzD75GChwHAccCJpfKjSfsyngIMIgWYe5OGm44hDT0tlr+aFPC8BxxI2jrk4Mo7n7FtxR7GGyJiaiHvWabva9hd8yGJiOdJQf0VpG0zvg0sQ3pWh3ZTG24lBdi7SioPE/4X8AdSML8dKeDdnhQUHgmsUt6eJdd5KSnQvCGX/w7pmX0P2LnJdiI7kX5h0KyX0szMzMys31H7W+2Z9T6SvgycC2wXEZf0UBvuJK3Eu0pEvN9e+TbqGTd48ODB48ZV7XJiZmZmZtYaQ4YMYfz48eObbT1XV2/siTSr4zzgdmCkmmzy2ZUkbQsMAQ7uTABpZmZmZtbXOIi0PikPL/0GaX7qku0U7wpzAwdGxOU9cG0zMzMzsx7TGxfWMaslIu4F7u2ha/+1J65rZmZmZtYxBVIRAAASLElEQVTT3BNpZmZmZmZmtTmINDMzMzMzs9ocRJqZmZmZmVltDiLNzMzMzMysNgeRZmZmZmZmVpuDSDMzMzMzM6vNQaSZmZmZmZnV5iDSzMzMzMzManMQaWZmZmZmZrU5iDQzMzMzM7PaHESamZmZmZlZbYqInm6D2UeapJfnnnvuhVZeeeWeboqZmZmZ9WMPPvggb7/99isRMbAz9TiINOthkqYAswL39HRbrEeslI8P9WgrrCf42X+0+fl/dPnZf7T19PMfBLweEct2ppLZWtMWM+uE+wAiYkhPN8S6n6Rx4Of/UeRn/9Hm5//R5Wf/0dZfnr/nRJqZmZmZmVltDiLNzMzMzMysNgeRZmZmZmZmVpuDSDMzMzMzM6vNQaSZmZmZmZnV5i0+zMzMzMzMrDb3RJqZmZmZmVltDiLNzMzMzMysNgeRZmZmZmZmVpuDSDMzMzMzM6vNQaSZmZmZmZnV5iDSzMzMzMzManMQaWZmZmZmZrU5iDTrApKWknSGpOclTZE0QdKJkhbsYD0L5fMm5Hqez/Uu1VVtt87p7LOXNK+kXSWdK+khSW9K+p+kOyUdJGmOrr4Hm3mt+rtfqnOopPclhaSjW9lea51WPntJn5F0tqRncl2TJF0vabeuaLt1Xgv/399A0mX5/HckPS3pSklbdFXbbeZJ2kHSbyXdKOn1/O/0X2ayrpb//9GVFBE93QazfkXSJ4FbgEWBy4CHgLWA4cDDwPoR8XKNegbmelYAxgD/BlYCtgEmAetGxBNdcQ82c1rx7PMXhauAV4DrgMeAhYCtgMVz/SMi4p0uug2bSa36u1+qc37gXmBhYD7gmIg4rJXtts5r5bOXtAfwR+At4HJgArAAsCrwfETs3OLmWye18P/9bwKnAG8ClwDPAksB2wHzAIdFxDFdcQ82cyTdDawGvEF6XisB50TEVzpYT8v//+hyEeGXX3618AVcDQTwnVL68Tn91Jr1nJbLH19K3z+n/7On79Wv1j974HPArsAcpfT5gXG5noN6+l796prnX1HnGaRfKPwo13F0T9+nX1337IF1gKnA3cDiFfmz9/S9+tU1zx+YHXgNeBtYsZS3MvAO6RcLc/b0/fr1oWczHFgeEDAsP++/9MRnqLtf7ok0ayFJywGPk35z/MmImFbImx94gfQPzaIR8WYb9cwL/BeYBiwREf8r5M2SrzEoX8O9kb1Aq559O9fYBTgHuDwitup0o61luuL5S9oGuBT4KjAbcCbuiex1WvnsJd0AbAh8JiLu67JGW8u08P/9xYCJwL0RsVpF/r3AZ4CFo7f1SBkAkoaRRhB1qCeyO74/dAXPiTRrrY3z8ZriPwIAORC8mTQkZZ126lkXmBu4uRhA5nqmAdfkH4d3usXWKq169m15Lx+ndqIO6xotff6SFgVOBy6NiJmaX2PdpiXPPs913xC4E7hf0nBJB+e50CPyLxCt92nV3/1JpF8eryBp+WKGpBVIvV13O4Dsl7rj+0PL+R8ks9ZaMR8faZL/aD6u0E31WPfpjme2Vz7+sxN1WNdo9fP/A+n/6H070yjrFq169msWyo/Jr+OAXwH/Au6W9KlOtNO6Rkuef6Shgd8i/b0fJ+ksST+XdDZpKsP9wI4taK/1Pn3yO99sPd0As35mQD5ObpLfSF+gm+qx7tOlz0zSt4EtSHOlzpiZOqxLtez5S9qLtIDWThHxYgvaZl2rVc9+0Xz8EvASaTGV0cAiwBGkYc1XSPpMRLw78821FmvZ3/2I+Juk54G/AsWVeF8kDWf39JX+qU9+53NPpFn3Uj52djJyq+qx7jPTz0zSdsCJpPky20fEe+2cYr1PrecvaRDpWf8tIi7o4jZZ96j7d3/WwnHviLgkIl6PiMeB3UnDXFcAtu+aZloXqf1vv6SvkHqdbyQtpjNPPo4GTgbO66I2Wu/WK7/zOYg0a63Gb4sGNMn/WKlcV9dj3adLnpmkbUlfHCYBw7yQUq/Vqud/Bml1xv1a0SjrFq169q/m4xTgymJGHup4Wf5xrY420LpUS55/nvd4BmnY6lcj4qGIeDsiHiL1Qo8DdsyLt1j/0ie/8zmINGuth/Ox2bj1xmT5ZuPeW12PdZ+WPzNJOwJ/Iw1l2igiHm7nFOs5rXr+g0nDGv+bN60OSUEaygbw45x2aeeaay3U6n/3/1deXCNrBJlzd6Bt1vVa9fw3I23zcX3F4irTgBvyj0NmppHWq/XJ73yeE2nWWtfl42aSZqlYpnl9Ui/Dbe3Uc1sut76k+Su2+NisdD3rea169o1zdgHOBp4DhrsHstdr1fM/mzSErWx5YChpTuw44K5Ot9hapVXP/l7SXMiFJS1WMR921Xyc0PkmWwu16vnPmY+LNMlvpHs+bP/T0u8P3cU9kWYtlOeuXEPaw/FbpewjgXmBs4v7/EhaSdJKpXreAP6cy48s1fPtXP/VDix6j1Y9+5y+O+n5Pw0M9XPu/Vr4d3//iNi7/GJ6T+QVOe13XXYz1iEtfPZTgdPyj78sbukh6TPAHqTtfS5s8S1YJ7Tw3/4b83EHSZ8tZkj6HLADaU7cmNa13rqTpNnzs/9kMX1mPkO9gdIwezNrlfyPwy2kIWmXAQ8Ca5P2dHwEWK+4z1MeqkZEqFTPwFzPCqT/NO4gTbDfhjQ/br38D4/1Eq149pKGkxZWmIU0P+aZiku9FhEndtFt2Exq1d/9JnXvQQokj4mIw1reeOuUFv67Pw9pEZV1SL3NY0k9UNuThrEeFBHHd/HtWAe18PmfAexJ6m28BHiKFFhsC8wBnBgRB3bx7VgH5HULts0/Lg5sTlpFt/FLgZci4uBcdhDwJPBURAwq1dOhz1Bv4CDSrAtI+gTwU9KWDAOBF4BLgSMj4pVS2aZfJCUtRFrafVtgCeBl4Crg8Ih4tivvwWZOZ599IVhoywz/AVnv0Kq/+xX17oGDyF6thf/uzwN8H9gZWBZ4B/g38OuIuKor78FmXiuevySRVuLdA1gNmB94nfQLhdMjwquz9jKSRpK+pzXzwf/XbQWROb/2Z6g3cBBpZmZm/9/encbqVZQBHP8/Ai1gFAggWqC0QLEYqBqKGBYtUAvIrmAMSCqFlkWqRoEPIMgibiSgsjaguRg2QUQQLAkKhYIBpEhBRKQgslj2TS22Ao8f5rx4eH3f3vPe3ktz0/8vaU7vzJyZOfd+ejIzz0iS1JhnIiVJkiRJjRlESpIkSZIaM4iUJEmSJDVmEClJkiRJaswgUpIkSZLUmEGkJEmSJKkxg0hJkiRJUmMGkZIkSZKkxgwiJUmSJEmNGURKkiRJkhoziJQkSZIkNWYQKUmStIwiYseIyIjYf4j6j4i4NyLmDkX/ktQLg0hJkoa5iDi+CmAyIj64vOezoomIdwFnAvOBn7fVTYyIWyLi1Yh4NCJOiYgRHfqIiLg1Iu6o+nubzEzgm8D2EbHfEH2KJDViEClJ0jAWEQEcAmRVNH05TmdF9Xngw8D3q2APgIhYH7gJGANcACwATgBO69DHUcA2wLTMfLPTIJl5DfAgcFr1d5ek5cIgUpKk4W0KMBa4CHgGmNpppUtD6kvAq8DVbeVfAN4NTMrMr2fmFOBm4Mh6EBgRY4BvA6dk5p/6GesiYDNg58GZuiT1ziBSkqThrbXyeAFwCbAOsG+3xhGxUkQcHhG3R8QrEfFaRCyIiAsjYtxA2kZEX7WVdkyH8SZVdSe1lc+pykdExIkR8VBELI6Ivqp+jYg4JiJuiognI2JJRDwXEddGxMeX8n3jI+InEfFY1d+zETE3Io6o6teKiEUR8Ui31byIuK6a21bdxqmPB2wLXJuZr7VVbwQ8l5l/rZX9Hlid8ndquQB4GPhef+MBl1fPQxq0laQhsfLynoAkSRqYiFgP2Av4S2b+LiJeBb4GzAB+1qH9COB6YDLwBHApZQVtDCXwvI0SzPTUdhldBWwNzAZ+CTxblW9O2fZ5azWPl4DR1ffuFhF7ZuYNbd+3O3AlMBK4AbgMWJOy1fRY4LzMfCkiLgcOrr7txrY+NgB2BeZl5rwG859cPW/rUPc4sG5EjM7Mx6uyicAi4PlqvOnAJGDrzHy9v8Ey828R8RQwOSKivn1Wkt4pBpGSJA1fBwOrAH0AmfnHiLgH2DEiNs3MBW3tT6IEPb8C9s/Mxa2KiBgJvHeAbZfFRsAWmfl8W/mDwKj28irIu4uSyOaGWvk6lEB3ZWCnzLylw3st51J+d4fRFkQChwIrAbMazn/76nl3h7qLgeOBWyLiKmBLYCfgjMzM6szk6cB3M/PehuNBWc3chxJo97f9VZIGndtZJUkahqqtmIcCbwI/rVX1Aa26evuVgCOB14DD60EhQGYuzsznem07CE7oEECSma90KX+SkgF1fESMrlVNpQS257UHkLX3Wv+/mxL07R0R72+VV999CPAPyipmE605LOwy5mTgSUrAuhnl7ONxVZNZVd2pETGh2uK7JCJejIgfLuVs69NtY0vSO8ogUpKk4WknYBPgxsx8qlZ+KbAE+GJErFIrHw+sAdyXmX/vp+9e2i6ru7pVRMR2EXFFRDxRnW/MiEhgZtVk/Vrz1jnJ2Q3HPZeyajmtVvZpYAPg4sz8Z8N+1q6eL3WqzMw7M3OHzHxPZo7NzOMzc3FEHETZNjutmsdsyjnJvSlXeRxO5yyuAC9Wz3W61EvSkDKIlCRpeJpRPfvqhZn5AmUL6nqUgKRlzepZDzi76aXtsnq6U2FE7Es5D7k7MA84GzgVOBlorTSOrL3S65wvpwR+02v3Mh5WPZtuZYWyWguwatMXqrOsPwDOzMy7gAOBUZRV39mZeRZlK+zMiFi9QxertY0tSe8og0hJkoaZiFiXciYO4LLWCl1tpe6zVd2M2msvV8/66l03vbSFsqUWOudaWLND2VuWkhjmVMqK6sTM3Ke6IuPEzDwJeKhD+57mXGVS7aMkCppSS6hzZ2bOb9JHpZUIaO2ltnq7c4AXgBOrnzevnvfU2syjBMmbdHi/NdazHeokaciZWEeSpOFnKjCCEmh0S8iyFyWD59jqiok/UwKtCRExqp9tqr20hf9t5dwQaE/mM7Gfd7vZFHggMx+sF1arhtt3aH8HsB+wG7WEO/04D/gqZQVyPr0l1Gm5D/gUZQtw+7f/n4jYD/gM8MnalSCtq0ZGUjK3wtJXNsdTAvf7e5yrJA0KVyIlSRp+WklzjszMQzv9owRDbyXYycw3KOcAVwPOrzKsvqW6r3HdXttWWucap7e12xL4ygC/8TFgXESMqvUXlPOCH+rQ/iLKFSRHRMQn2ivbsrMCkJkPA78F9qCcQXyZDlej9GNO9ex6d2VtDmtTViHPycy5taoHqueetbI9gMXAI219jAQ+AvwhM19GkpaD8HohSZKGj4iYBNwM3J+ZE5bSbgzwKOXM4ejMfL3K9vlrYGfKHYbXUTKRbghMAY7JzL7q/V7arkpZkRsHzAXupGQO3Ru4BvgccHK1FbU1vzmU1bjWKlz7/A8Dzqds2bwK+A+wHSWA/A0l4NoxM+fU3tmdkrl1BCVRzX2UjK0TgA0zc2yHcfYFflH9eFZmfrnb77TLPFennMNckJlb99P2EmBbYMt64p6IWI1y5+ZalC22mwC7AKdn5rFtfexCWWk9LjO/08tcJWmwuBIpSdLw0lrtu3BpjTLzMUqw9QGqFa7MXEI59zcTeIayLXYm8DHgauC22vu9tP03Jdi8AtgCOArYGDiAsmW0Z5k5i3KX48Jq7AOBJ4BtePvZwfo711O2z14CfBQ4GtgfSKBbwHUt0LpKpNetrGTmIkrgNzEiNu/WrgpwDwCmt2d+rba17krZkjsN2IqSeOcbHbqaSjkr+uNe5ypJg8WVSEmStMKKiI0pZxlvz8wdBtjHGMo50lmZOdDtu03GeR9lm++l1ZZlSVouXImUJEkrsqMpZ0fPHmgH1arvj4AZEdE0o+1AHAe8AZwwhGNIUr/MzipJklYoETGasrV0HGXL7HzgymXs9lvAvyhXhgz6/ZpVUqGFwEGZuXCw+5ekXridVZIkrVBqyYkWUc52HpGZjy7XSUnSMGIQKUmSJElqzDORkiRJkqTGDCIlSZIkSY0ZREqSJEmSGjOIlCRJkiQ1ZhApSZIkSWrMIFKSJEmS1JhBpCRJkiSpMYNISZIkSVJjBpGSJEmSpMYMIiVJkiRJjRlESpIkSZIaM4iUJEmSJDVmEClJkiRJauy/p8FCZzhc7dQAAAAASUVORK5CYII=
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<p><font color='red'><strong>Reminder for Workspace users:</strong> If your network becomes very large when saved as a checkpoint, there might be issues with saving backups in your workspace. You should reduce the size of your hidden layers and train again.</p>
<p>We strongly encourage you to delete these large interim files and directories before navigating to another page or closing the browser tab.&lt;/font&gt;</p>

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<div class="prompt input_prompt">In&nbsp;[46]:</div>
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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="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">isdir</span><span class="p">(</span><span class="s1">&#39;opt&#39;</span><span class="p">):</span> <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="s1">&#39;opt&#39;</span><span class="p">)</span>
<span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">isfile</span><span class="p">(</span><span class="s1">&#39;opt/&#39;</span><span class="o">+</span><span class="n">checkpoint_fn</span><span class="p">):</span> <span class="n">os</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="s1">&#39;opt/&#39;</span><span class="o">+</span><span class="n">checkpoint_fn</span><span class="p">)</span>

<span class="n">os</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">checkpoint_fn</span><span class="p">,</span> <span class="s1">&#39;opt/&#39;</span><span class="o">+</span><span class="n">checkpoint_fn</span><span class="p">)</span>
<span class="n">os</span><span class="o">.</span><span class="n">listdir</span><span class="p">(</span><span class="s1">&#39;opt&#39;</span><span class="p">)</span>
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    <div class="prompt output_prompt">Out[46]:</div>


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<pre>[&#39;checkpoint.pth&#39;]</pre>
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