Image Classifier.html

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

<title>Image Classifier Project</title>

<script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.3/jquery.min.js"></script>


<style type="text/css">
    /*!
*
* Twitter Bootstrap
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 * Bootstrap v3.3.7 (http://getbootstrap.com)
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/*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */
html {
  font-family: sans-serif;
  -ms-text-size-adjust: 100%;
  -webkit-text-size-adjust: 100%;
}
body {
  margin: 0;
}
article,
aside,
details,
figcaption,
figure,
footer,
header,
hgroup,
main,
menu,
nav,
section,
summary {
  display: block;
}
audio,
canvas,
progress,
video {
  display: inline-block;
  vertical-align: baseline;
}
audio:not([controls]) {
  display: none;
  height: 0;
}
[hidden],
template {
  display: none;
}
a {
  background-color: transparent;
}
a:active,
a:hover {
  outline: 0;
}
abbr[title] {
  border-bottom: 1px dotted;
}
b,
strong {
  font-weight: bold;
}
dfn {
  font-style: italic;
}
h1 {
  font-size: 2em;
  margin: 0.67em 0;
}
mark {
  background: #ff0;
  color: #000;
}
small {
  font-size: 80%;
}
sub,
sup {
  font-size: 75%;
  line-height: 0;
  position: relative;
  vertical-align: baseline;
}
sup {
  top: -0.5em;
}
sub {
  bottom: -0.25em;
}
img {
  border: 0;
}
svg:not(:root) {
  overflow: hidden;
}
figure {
  margin: 1em 40px;
}
hr {
  box-sizing: content-box;
  height: 0;
}
pre {
  overflow: auto;
}
code,
kbd,
pre,
samp {
  font-family: monospace, monospace;
  font-size: 1em;
}
button,
input,
optgroup,
select,
textarea {
  color: inherit;
  font: inherit;
  margin: 0;
}
button {
  overflow: visible;
}
button,
select {
  text-transform: none;
}
button,
html input[type="button"],
input[type="reset"],
input[type="submit"] {
  -webkit-appearance: button;
  cursor: pointer;
}
button[disabled],
html input[disabled] {
  cursor: default;
}
button::-moz-focus-inner,
input::-moz-focus-inner {
  border: 0;
  padding: 0;
}
input {
  line-height: normal;
}
input[type="checkbox"],
input[type="radio"] {
  box-sizing: border-box;
  padding: 0;
}
input[type="number"]::-webkit-inner-spin-button,
input[type="number"]::-webkit-outer-spin-button {
  height: auto;
}
input[type="search"] {
  -webkit-appearance: textfield;
  box-sizing: content-box;
}
input[type="search"]::-webkit-search-cancel-button,
input[type="search"]::-webkit-search-decoration {
  -webkit-appearance: none;
}
fieldset {
  border: 1px solid #c0c0c0;
  margin: 0 2px;
  padding: 0.35em 0.625em 0.75em;
}
legend {
  border: 0;
  padding: 0;
}
textarea {
  overflow: auto;
}
optgroup {
  font-weight: bold;
}
table {
  border-collapse: collapse;
  border-spacing: 0;
}
td,
th {
  padding: 0;
}
/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */
@media print {
  *,
  *:before,
  *:after {
    background: transparent !important;
    box-shadow: none !important;
    text-shadow: none !important;
  }
  a,
  a:visited {
    text-decoration: underline;
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  a[href]:after {
    content: " (" attr(href) ")";
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  abbr[title]:after {
    content: " (" attr(title) ")";
  }
  a[href^="#"]:after,
  a[href^="javascript:"]:after {
    content: "";
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  pre,
  blockquote {
    border: 1px solid #999;
    page-break-inside: avoid;
  }
  thead {
    display: table-header-group;
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  tr,
  img {
    page-break-inside: avoid;
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  img {
    max-width: 100% !important;
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  p,
  h2,
  h3 {
    orphans: 3;
    widows: 3;
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  h2,
  h3 {
    page-break-after: avoid;
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  .navbar {
    display: none;
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  .btn > .caret,
  .dropup > .btn > .caret {
    border-top-color: #000 !important;
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  .label {
    border: 1px solid #000;
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  .table {
    border-collapse: collapse !important;
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  .table td,
  .table th {
    background-color: #fff !important;
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  .table-bordered th,
  .table-bordered td {
    border: 1px solid #ddd !important;
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}
@font-face {
  font-family: 'Glyphicons Halflings';
  src: url('../components/bootstrap/fonts/glyphicons-halflings-regular.eot');
  src: url('../components/bootstrap/fonts/glyphicons-halflings-regular.eot?#iefix') format('embedded-opentype'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.woff2') format('woff2'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.woff') format('woff'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.ttf') format('truetype'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.svg#glyphicons_halflingsregular') format('svg');
}
.glyphicon {
  position: relative;
  top: 1px;
  display: inline-block;
  font-family: 'Glyphicons Halflings';
  font-style: normal;
  font-weight: normal;
  line-height: 1;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
}
.glyphicon-asterisk:before {
  content: "\002a";
}
.glyphicon-plus:before {
  content: "\002b";
}
.glyphicon-euro:before,
.glyphicon-eur:before {
  content: "\20ac";
}
.glyphicon-minus:before {
  content: "\2212";
}
.glyphicon-cloud:before {
  content: "\2601";
}
.glyphicon-envelope:before {
  content: "\2709";
}
.glyphicon-pencil:before {
  content: "\270f";
}
.glyphicon-glass:before {
  content: "\e001";
}
.glyphicon-music:before {
  content: "\e002";
}
.glyphicon-search:before {
  content: "\e003";
}
.glyphicon-heart:before {
  content: "\e005";
}
.glyphicon-star:before {
  content: "\e006";
}
.glyphicon-star-empty:before {
  content: "\e007";
}
.glyphicon-user:before {
  content: "\e008";
}
.glyphicon-film:before {
  content: "\e009";
}
.glyphicon-th-large:before {
  content: "\e010";
}
.glyphicon-th:before {
  content: "\e011";
}
.glyphicon-th-list:before {
  content: "\e012";
}
.glyphicon-ok:before {
  content: "\e013";
}
.glyphicon-remove:before {
  content: "\e014";
}
.glyphicon-zoom-in:before {
  content: "\e015";
}
.glyphicon-zoom-out:before {
  content: "\e016";
}
.glyphicon-off:before {
  content: "\e017";
}
.glyphicon-signal:before {
  content: "\e018";
}
.glyphicon-cog:before {
  content: "\e019";
}
.glyphicon-trash:before {
  content: "\e020";
}
.glyphicon-home:before {
  content: "\e021";
}
.glyphicon-file:before {
  content: "\e022";
}
.glyphicon-time:before {
  content: "\e023";
}
.glyphicon-road:before {
  content: "\e024";
}
.glyphicon-download-alt:before {
  content: "\e025";
}
.glyphicon-download:before {
  content: "\e026";
}
.glyphicon-upload:before {
  content: "\e027";
}
.glyphicon-inbox:before {
  content: "\e028";
}
.glyphicon-play-circle:before {
  content: "\e029";
}
.glyphicon-repeat:before {
  content: "\e030";
}
.glyphicon-refresh:before {
  content: "\e031";
}
.glyphicon-list-alt:before {
  content: "\e032";
}
.glyphicon-lock:before {
  content: "\e033";
}
.glyphicon-flag:before {
  content: "\e034";
}
.glyphicon-headphones:before {
  content: "\e035";
}
.glyphicon-volume-off:before {
  content: "\e036";
}
.glyphicon-volume-down:before {
  content: "\e037";
}
.glyphicon-volume-up:before {
  content: "\e038";
}
.glyphicon-qrcode:before {
  content: "\e039";
}
.glyphicon-barcode:before {
  content: "\e040";
}
.glyphicon-tag:before {
  content: "\e041";
}
.glyphicon-tags:before {
  content: "\e042";
}
.glyphicon-book:before {
  content: "\e043";
}
.glyphicon-bookmark:before {
  content: "\e044";
}
.glyphicon-print:before {
  content: "\e045";
}
.glyphicon-camera:before {
  content: "\e046";
}
.glyphicon-font:before {
  content: "\e047";
}
.glyphicon-bold:before {
  content: "\e048";
}
.glyphicon-italic:before {
  content: "\e049";
}
.glyphicon-text-height:before {
  content: "\e050";
}
.glyphicon-text-width:before {
  content: "\e051";
}
.glyphicon-align-left:before {
  content: "\e052";
}
.glyphicon-align-center:before {
  content: "\e053";
}
.glyphicon-align-right:before {
  content: "\e054";
}
.glyphicon-align-justify:before {
  content: "\e055";
}
.glyphicon-list:before {
  content: "\e056";
}
.glyphicon-indent-left:before {
  content: "\e057";
}
.glyphicon-indent-right:before {
  content: "\e058";
}
.glyphicon-facetime-video:before {
  content: "\e059";
}
.glyphicon-picture:before {
  content: "\e060";
}
.glyphicon-map-marker:before {
  content: "\e062";
}
.glyphicon-adjust:before {
  content: "\e063";
}
.glyphicon-tint:before {
  content: "\e064";
}
.glyphicon-edit:before {
  content: "\e065";
}
.glyphicon-share:before {
  content: "\e066";
}
.glyphicon-check:before {
  content: "\e067";
}
.glyphicon-move:before {
  content: "\e068";
}
.glyphicon-step-backward:before {
  content: "\e069";
}
.glyphicon-fast-backward:before {
  content: "\e070";
}
.glyphicon-backward:before {
  content: "\e071";
}
.glyphicon-play:before {
  content: "\e072";
}
.glyphicon-pause:before {
  content: "\e073";
}
.glyphicon-stop:before {
  content: "\e074";
}
.glyphicon-forward:before {
  content: "\e075";
}
.glyphicon-fast-forward:before {
  content: "\e076";
}
.glyphicon-step-forward:before {
  content: "\e077";
}
.glyphicon-eject:before {
  content: "\e078";
}
.glyphicon-chevron-left:before {
  content: "\e079";
}
.glyphicon-chevron-right:before {
  content: "\e080";
}
.glyphicon-plus-sign:before {
  content: "\e081";
}
.glyphicon-minus-sign:before {
  content: "\e082";
}
.glyphicon-remove-sign:before {
  content: "\e083";
}
.glyphicon-ok-sign:before {
  content: "\e084";
}
.glyphicon-question-sign:before {
  content: "\e085";
}
.glyphicon-info-sign:before {
  content: "\e086";
}
.glyphicon-screenshot:before {
  content: "\e087";
}
.glyphicon-remove-circle:before {
  content: "\e088";
}
.glyphicon-ok-circle:before {
  content: "\e089";
}
.glyphicon-ban-circle:before {
  content: "\e090";
}
.glyphicon-arrow-left:before {
  content: "\e091";
}
.glyphicon-arrow-right:before {
  content: "\e092";
}
.glyphicon-arrow-up:before {
  content: "\e093";
}
.glyphicon-arrow-down:before {
  content: "\e094";
}
.glyphicon-share-alt:before {
  content: "\e095";
}
.glyphicon-resize-full:before {
  content: "\e096";
}
.glyphicon-resize-small:before {
  content: "\e097";
}
.glyphicon-exclamation-sign:before {
  content: "\e101";
}
.glyphicon-gift:before {
  content: "\e102";
}
.glyphicon-leaf:before {
  content: "\e103";
}
.glyphicon-fire:before {
  content: "\e104";
}
.glyphicon-eye-open:before {
  content: "\e105";
}
.glyphicon-eye-close:before {
  content: "\e106";
}
.glyphicon-warning-sign:before {
  content: "\e107";
}
.glyphicon-plane:before {
  content: "\e108";
}
.glyphicon-calendar:before {
  content: "\e109";
}
.glyphicon-random:before {
  content: "\e110";
}
.glyphicon-comment:before {
  content: "\e111";
}
.glyphicon-magnet:before {
  content: "\e112";
}
.glyphicon-chevron-up:before {
  content: "\e113";
}
.glyphicon-chevron-down:before {
  content: "\e114";
}
.glyphicon-retweet:before {
  content: "\e115";
}
.glyphicon-shopping-cart:before {
  content: "\e116";
}
.glyphicon-folder-close:before {
  content: "\e117";
}
.glyphicon-folder-open:before {
  content: "\e118";
}
.glyphicon-resize-vertical:before {
  content: "\e119";
}
.glyphicon-resize-horizontal:before {
  content: "\e120";
}
.glyphicon-hdd:before {
  content: "\e121";
}
.glyphicon-bullhorn:before {
  content: "\e122";
}
.glyphicon-bell:before {
  content: "\e123";
}
.glyphicon-certificate:before {
  content: "\e124";
}
.glyphicon-thumbs-up:before {
  content: "\e125";
}
.glyphicon-thumbs-down:before {
  content: "\e126";
}
.glyphicon-hand-right:before {
  content: "\e127";
}
.glyphicon-hand-left:before {
  content: "\e128";
}
.glyphicon-hand-up:before {
  content: "\e129";
}
.glyphicon-hand-down:before {
  content: "\e130";
}
.glyphicon-circle-arrow-right:before {
  content: "\e131";
}
.glyphicon-circle-arrow-left:before {
  content: "\e132";
}
.glyphicon-circle-arrow-up:before {
  content: "\e133";
}
.glyphicon-circle-arrow-down:before {
  content: "\e134";
}
.glyphicon-globe:before {
  content: "\e135";
}
.glyphicon-wrench:before {
  content: "\e136";
}
.glyphicon-tasks:before {
  content: "\e137";
}
.glyphicon-filter:before {
  content: "\e138";
}
.glyphicon-briefcase:before {
  content: "\e139";
}
.glyphicon-fullscreen:before {
  content: "\e140";
}
.glyphicon-dashboard:before {
  content: "\e141";
}
.glyphicon-paperclip:before {
  content: "\e142";
}
.glyphicon-heart-empty:before {
  content: "\e143";
}
.glyphicon-link:before {
  content: "\e144";
}
.glyphicon-phone:before {
  content: "\e145";
}
.glyphicon-pushpin:before {
  content: "\e146";
}
.glyphicon-usd:before {
  content: "\e148";
}
.glyphicon-gbp:before {
  content: "\e149";
}
.glyphicon-sort:before {
  content: "\e150";
}
.glyphicon-sort-by-alphabet:before {
  content: "\e151";
}
.glyphicon-sort-by-alphabet-alt:before {
  content: "\e152";
}
.glyphicon-sort-by-order:before {
  content: "\e153";
}
.glyphicon-sort-by-order-alt:before {
  content: "\e154";
}
.glyphicon-sort-by-attributes:before {
  content: "\e155";
}
.glyphicon-sort-by-attributes-alt:before {
  content: "\e156";
}
.glyphicon-unchecked:before {
  content: "\e157";
}
.glyphicon-expand:before {
  content: "\e158";
}
.glyphicon-collapse-down:before {
  content: "\e159";
}
.glyphicon-collapse-up:before {
  content: "\e160";
}
.glyphicon-log-in:before {
  content: "\e161";
}
.glyphicon-flash:before {
  content: "\e162";
}
.glyphicon-log-out:before {
  content: "\e163";
}
.glyphicon-new-window:before {
  content: "\e164";
}
.glyphicon-record:before {
  content: "\e165";
}
.glyphicon-save:before {
  content: "\e166";
}
.glyphicon-open:before {
  content: "\e167";
}
.glyphicon-saved:before {
  content: "\e168";
}
.glyphicon-import:before {
  content: "\e169";
}
.glyphicon-export:before {
  content: "\e170";
}
.glyphicon-send:before {
  content: "\e171";
}
.glyphicon-floppy-disk:before {
  content: "\e172";
}
.glyphicon-floppy-saved:before {
  content: "\e173";
}
.glyphicon-floppy-remove:before {
  content: "\e174";
}
.glyphicon-floppy-save:before {
  content: "\e175";
}
.glyphicon-floppy-open:before {
  content: "\e176";
}
.glyphicon-credit-card:before {
  content: "\e177";
}
.glyphicon-transfer:before {
  content: "\e178";
}
.glyphicon-cutlery:before {
  content: "\e179";
}
.glyphicon-header:before {
  content: "\e180";
}
.glyphicon-compressed:before {
  content: "\e181";
}
.glyphicon-earphone:before {
  content: "\e182";
}
.glyphicon-phone-alt:before {
  content: "\e183";
}
.glyphicon-tower:before {
  content: "\e184";
}
.glyphicon-stats:before {
  content: "\e185";
}
.glyphicon-sd-video:before {
  content: "\e186";
}
.glyphicon-hd-video:before {
  content: "\e187";
}
.glyphicon-subtitles:before {
  content: "\e188";
}
.glyphicon-sound-stereo:before {
  content: "\e189";
}
.glyphicon-sound-dolby:before {
  content: "\e190";
}
.glyphicon-sound-5-1:before {
  content: "\e191";
}
.glyphicon-sound-6-1:before {
  content: "\e192";
}
.glyphicon-sound-7-1:before {
  content: "\e193";
}
.glyphicon-copyright-mark:before {
  content: "\e194";
}
.glyphicon-registration-mark:before {
  content: "\e195";
}
.glyphicon-cloud-download:before {
  content: "\e197";
}
.glyphicon-cloud-upload:before {
  content: "\e198";
}
.glyphicon-tree-conifer:before {
  content: "\e199";
}
.glyphicon-tree-deciduous:before {
  content: "\e200";
}
.glyphicon-cd:before {
  content: "\e201";
}
.glyphicon-save-file:before {
  content: "\e202";
}
.glyphicon-open-file:before {
  content: "\e203";
}
.glyphicon-level-up:before {
  content: "\e204";
}
.glyphicon-copy:before {
  content: "\e205";
}
.glyphicon-paste:before {
  content: "\e206";
}
.glyphicon-alert:before {
  content: "\e209";
}
.glyphicon-equalizer:before {
  content: "\e210";
}
.glyphicon-king:before {
  content: "\e211";
}
.glyphicon-queen:before {
  content: "\e212";
}
.glyphicon-pawn:before {
  content: "\e213";
}
.glyphicon-bishop:before {
  content: "\e214";
}
.glyphicon-knight:before {
  content: "\e215";
}
.glyphicon-baby-formula:before {
  content: "\e216";
}
.glyphicon-tent:before {
  content: "\26fa";
}
.glyphicon-blackboard:before {
  content: "\e218";
}
.glyphicon-bed:before {
  content: "\e219";
}
.glyphicon-apple:before {
  content: "\f8ff";
}
.glyphicon-erase:before {
  content: "\e221";
}
.glyphicon-hourglass:before {
  content: "\231b";
}
.glyphicon-lamp:before {
  content: "\e223";
}
.glyphicon-duplicate:before {
  content: "\e224";
}
.glyphicon-piggy-bank:before {
  content: "\e225";
}
.glyphicon-scissors:before {
  content: "\e226";
}
.glyphicon-bitcoin:before {
  content: "\e227";
}
.glyphicon-btc:before {
  content: "\e227";
}
.glyphicon-xbt:before {
  content: "\e227";
}
.glyphicon-yen:before {
  content: "\00a5";
}
.glyphicon-jpy:before {
  content: "\00a5";
}
.glyphicon-ruble:before {
  content: "\20bd";
}
.glyphicon-rub:before {
  content: "\20bd";
}
.glyphicon-scale:before {
  content: "\e230";
}
.glyphicon-ice-lolly:before {
  content: "\e231";
}
.glyphicon-ice-lolly-tasted:before {
  content: "\e232";
}
.glyphicon-education:before {
  content: "\e233";
}
.glyphicon-option-horizontal:before {
  content: "\e234";
}
.glyphicon-option-vertical:before {
  content: "\e235";
}
.glyphicon-menu-hamburger:before {
  content: "\e236";
}
.glyphicon-modal-window:before {
  content: "\e237";
}
.glyphicon-oil:before {
  content: "\e238";
}
.glyphicon-grain:before {
  content: "\e239";
}
.glyphicon-sunglasses:before {
  content: "\e240";
}
.glyphicon-text-size:before {
  content: "\e241";
}
.glyphicon-text-color:before {
  content: "\e242";
}
.glyphicon-text-background:before {
  content: "\e243";
}
.glyphicon-object-align-top:before {
  content: "\e244";
}
.glyphicon-object-align-bottom:before {
  content: "\e245";
}
.glyphicon-object-align-horizontal:before {
  content: "\e246";
}
.glyphicon-object-align-left:before {
  content: "\e247";
}
.glyphicon-object-align-vertical:before {
  content: "\e248";
}
.glyphicon-object-align-right:before {
  content: "\e249";
}
.glyphicon-triangle-right:before {
  content: "\e250";
}
.glyphicon-triangle-left:before {
  content: "\e251";
}
.glyphicon-triangle-bottom:before {
  content: "\e252";
}
.glyphicon-triangle-top:before {
  content: "\e253";
}
.glyphicon-console:before {
  content: "\e254";
}
.glyphicon-superscript:before {
  content: "\e255";
}
.glyphicon-subscript:before {
  content: "\e256";
}
.glyphicon-menu-left:before {
  content: "\e257";
}
.glyphicon-menu-right:before {
  content: "\e258";
}
.glyphicon-menu-down:before {
  content: "\e259";
}
.glyphicon-menu-up:before {
  content: "\e260";
}
* {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
*:before,
*:after {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
html {
  font-size: 10px;
  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);
}
body {
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-size: 13px;
  line-height: 1.42857143;
  color: #000;
  background-color: #fff;
}
input,
button,
select,
textarea {
  font-family: inherit;
  font-size: inherit;
  line-height: inherit;
}
a {
  color: #337ab7;
  text-decoration: none;
}
a:hover,
a:focus {
  color: #23527c;
  text-decoration: underline;
}
a:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
figure {
  margin: 0;
}
img {
  vertical-align: middle;
}
.img-responsive,
.thumbnail > img,
.thumbnail a > img,
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  display: block;
  max-width: 100%;
  height: auto;
}
.img-rounded {
  border-radius: 3px;
}
.img-thumbnail {
  padding: 4px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: all 0.2s ease-in-out;
  -o-transition: all 0.2s ease-in-out;
  transition: all 0.2s ease-in-out;
  display: inline-block;
  max-width: 100%;
  height: auto;
}
.img-circle {
  border-radius: 50%;
}
hr {
  margin-top: 18px;
  margin-bottom: 18px;
  border: 0;
  border-top: 1px solid #eeeeee;
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  margin: -1px;
  padding: 0;
  overflow: hidden;
  clip: rect(0, 0, 0, 0);
  border: 0;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
[role="button"] {
  cursor: pointer;
}
h1,
h2,
h3,
h4,
h5,
h6,
.h1,
.h2,
.h3,
.h4,
.h5,
.h6 {
  font-family: inherit;
  font-weight: 500;
  line-height: 1.1;
  color: inherit;
}
h1 small,
h2 small,
h3 small,
h4 small,
h5 small,
h6 small,
.h1 small,
.h2 small,
.h3 small,
.h4 small,
.h5 small,
.h6 small,
h1 .small,
h2 .small,
h3 .small,
h4 .small,
h5 .small,
h6 .small,
.h1 .small,
.h2 .small,
.h3 .small,
.h4 .small,
.h5 .small,
.h6 .small {
  font-weight: normal;
  line-height: 1;
  color: #777777;
}
h1,
.h1,
h2,
.h2,
h3,
.h3 {
  margin-top: 18px;
  margin-bottom: 9px;
}
h1 small,
.h1 small,
h2 small,
.h2 small,
h3 small,
.h3 small,
h1 .small,
.h1 .small,
h2 .small,
.h2 .small,
h3 .small,
.h3 .small {
  font-size: 65%;
}
h4,
.h4,
h5,
.h5,
h6,
.h6 {
  margin-top: 9px;
  margin-bottom: 9px;
}
h4 small,
.h4 small,
h5 small,
.h5 small,
h6 small,
.h6 small,
h4 .small,
.h4 .small,
h5 .small,
.h5 .small,
h6 .small,
.h6 .small {
  font-size: 75%;
}
h1,
.h1 {
  font-size: 33px;
}
h2,
.h2 {
  font-size: 27px;
}
h3,
.h3 {
  font-size: 23px;
}
h4,
.h4 {
  font-size: 17px;
}
h5,
.h5 {
  font-size: 13px;
}
h6,
.h6 {
  font-size: 12px;
}
p {
  margin: 0 0 9px;
}
.lead {
  margin-bottom: 18px;
  font-size: 14px;
  font-weight: 300;
  line-height: 1.4;
}
@media (min-width: 768px) {
  .lead {
    font-size: 19.5px;
  }
}
small,
.small {
  font-size: 92%;
}
mark,
.mark {
  background-color: #fcf8e3;
  padding: .2em;
}
.text-left {
  text-align: left;
}
.text-right {
  text-align: right;
}
.text-center {
  text-align: center;
}
.text-justify {
  text-align: justify;
}
.text-nowrap {
  white-space: nowrap;
}
.text-lowercase {
  text-transform: lowercase;
}
.text-uppercase {
  text-transform: uppercase;
}
.text-capitalize {
  text-transform: capitalize;
}
.text-muted {
  color: #777777;
}
.text-primary {
  color: #337ab7;
}
a.text-primary:hover,
a.text-primary:focus {
  color: #286090;
}
.text-success {
  color: #3c763d;
}
a.text-success:hover,
a.text-success:focus {
  color: #2b542c;
}
.text-info {
  color: #31708f;
}
a.text-info:hover,
a.text-info:focus {
  color: #245269;
}
.text-warning {
  color: #8a6d3b;
}
a.text-warning:hover,
a.text-warning:focus {
  color: #66512c;
}
.text-danger {
  color: #a94442;
}
a.text-danger:hover,
a.text-danger:focus {
  color: #843534;
}
.bg-primary {
  color: #fff;
  background-color: #337ab7;
}
a.bg-primary:hover,
a.bg-primary:focus {
  background-color: #286090;
}
.bg-success {
  background-color: #dff0d8;
}
a.bg-success:hover,
a.bg-success:focus {
  background-color: #c1e2b3;
}
.bg-info {
  background-color: #d9edf7;
}
a.bg-info:hover,
a.bg-info:focus {
  background-color: #afd9ee;
}
.bg-warning {
  background-color: #fcf8e3;
}
a.bg-warning:hover,
a.bg-warning:focus {
  background-color: #f7ecb5;
}
.bg-danger {
  background-color: #f2dede;
}
a.bg-danger:hover,
a.bg-danger:focus {
  background-color: #e4b9b9;
}
.page-header {
  padding-bottom: 8px;
  margin: 36px 0 18px;
  border-bottom: 1px solid #eeeeee;
}
ul,
ol {
  margin-top: 0;
  margin-bottom: 9px;
}
ul ul,
ol ul,
ul ol,
ol ol {
  margin-bottom: 0;
}
.list-unstyled {
  padding-left: 0;
  list-style: none;
}
.list-inline {
  padding-left: 0;
  list-style: none;
  margin-left: -5px;
}
.list-inline > li {
  display: inline-block;
  padding-left: 5px;
  padding-right: 5px;
}
dl {
  margin-top: 0;
  margin-bottom: 18px;
}
dt,
dd {
  line-height: 1.42857143;
}
dt {
  font-weight: bold;
}
dd {
  margin-left: 0;
}
@media (min-width: 541px) {
  .dl-horizontal dt {
    float: left;
    width: 160px;
    clear: left;
    text-align: right;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
  }
  .dl-horizontal dd {
    margin-left: 180px;
  }
}
abbr[title],
abbr[data-original-title] {
  cursor: help;
  border-bottom: 1px dotted #777777;
}
.initialism {
  font-size: 90%;
  text-transform: uppercase;
}
blockquote {
  padding: 9px 18px;
  margin: 0 0 18px;
  font-size: inherit;
  border-left: 5px solid #eeeeee;
}
blockquote p:last-child,
blockquote ul:last-child,
blockquote ol:last-child {
  margin-bottom: 0;
}
blockquote footer,
blockquote small,
blockquote .small {
  display: block;
  font-size: 80%;
  line-height: 1.42857143;
  color: #777777;
}
blockquote footer:before,
blockquote small:before,
blockquote .small:before {
  content: '\2014 \00A0';
}
.blockquote-reverse,
blockquote.pull-right {
  padding-right: 15px;
  padding-left: 0;
  border-right: 5px solid #eeeeee;
  border-left: 0;
  text-align: right;
}
.blockquote-reverse footer:before,
blockquote.pull-right footer:before,
.blockquote-reverse small:before,
blockquote.pull-right small:before,
.blockquote-reverse .small:before,
blockquote.pull-right .small:before {
  content: '';
}
.blockquote-reverse footer:after,
blockquote.pull-right footer:after,
.blockquote-reverse small:after,
blockquote.pull-right small:after,
.blockquote-reverse .small:after,
blockquote.pull-right .small:after {
  content: '\00A0 \2014';
}
address {
  margin-bottom: 18px;
  font-style: normal;
  line-height: 1.42857143;
}
code,
kbd,
pre,
samp {
  font-family: monospace;
}
code {
  padding: 2px 4px;
  font-size: 90%;
  color: #c7254e;
  background-color: #f9f2f4;
  border-radius: 2px;
}
kbd {
  padding: 2px 4px;
  font-size: 90%;
  color: #888;
  background-color: transparent;
  border-radius: 1px;
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
}
kbd kbd {
  padding: 0;
  font-size: 100%;
  font-weight: bold;
  box-shadow: none;
}
pre {
  display: block;
  padding: 8.5px;
  margin: 0 0 9px;
  font-size: 12px;
  line-height: 1.42857143;
  word-break: break-all;
  word-wrap: break-word;
  color: #333333;
  background-color: #f5f5f5;
  border: 1px solid #ccc;
  border-radius: 2px;
}
pre code {
  padding: 0;
  font-size: inherit;
  color: inherit;
  white-space: pre-wrap;
  background-color: transparent;
  border-radius: 0;
}
.pre-scrollable {
  max-height: 340px;
  overflow-y: scroll;
}
.container {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
@media (min-width: 768px) {
  .container {
    width: 768px;
  }
}
@media (min-width: 992px) {
  .container {
    width: 940px;
  }
}
@media (min-width: 1200px) {
  .container {
    width: 1140px;
  }
}
.container-fluid {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
.row {
  margin-left: 0px;
  margin-right: 0px;
}
.col-xs-1, .col-sm-1, .col-md-1, .col-lg-1, .col-xs-2, .col-sm-2, .col-md-2, .col-lg-2, .col-xs-3, .col-sm-3, .col-md-3, .col-lg-3, .col-xs-4, .col-sm-4, .col-md-4, .col-lg-4, .col-xs-5, .col-sm-5, .col-md-5, .col-lg-5, .col-xs-6, .col-sm-6, .col-md-6, .col-lg-6, .col-xs-7, .col-sm-7, .col-md-7, .col-lg-7, .col-xs-8, .col-sm-8, .col-md-8, .col-lg-8, .col-xs-9, .col-sm-9, .col-md-9, .col-lg-9, .col-xs-10, .col-sm-10, .col-md-10, .col-lg-10, .col-xs-11, .col-sm-11, .col-md-11, .col-lg-11, .col-xs-12, .col-sm-12, .col-md-12, .col-lg-12 {
  position: relative;
  min-height: 1px;
  padding-left: 0px;
  padding-right: 0px;
}
.col-xs-1, .col-xs-2, .col-xs-3, .col-xs-4, .col-xs-5, .col-xs-6, .col-xs-7, .col-xs-8, .col-xs-9, .col-xs-10, .col-xs-11, .col-xs-12 {
  float: left;
}
.col-xs-12 {
  width: 100%;
}
.col-xs-11 {
  width: 91.66666667%;
}
.col-xs-10 {
  width: 83.33333333%;
}
.col-xs-9 {
  width: 75%;
}
.col-xs-8 {
  width: 66.66666667%;
}
.col-xs-7 {
  width: 58.33333333%;
}
.col-xs-6 {
  width: 50%;
}
.col-xs-5 {
  width: 41.66666667%;
}
.col-xs-4 {
  width: 33.33333333%;
}
.col-xs-3 {
  width: 25%;
}
.col-xs-2 {
  width: 16.66666667%;
}
.col-xs-1 {
  width: 8.33333333%;
}
.col-xs-pull-12 {
  right: 100%;
}
.col-xs-pull-11 {
  right: 91.66666667%;
}
.col-xs-pull-10 {
  right: 83.33333333%;
}
.col-xs-pull-9 {
  right: 75%;
}
.col-xs-pull-8 {
  right: 66.66666667%;
}
.col-xs-pull-7 {
  right: 58.33333333%;
}
.col-xs-pull-6 {
  right: 50%;
}
.col-xs-pull-5 {
  right: 41.66666667%;
}
.col-xs-pull-4 {
  right: 33.33333333%;
}
.col-xs-pull-3 {
  right: 25%;
}
.col-xs-pull-2 {
  right: 16.66666667%;
}
.col-xs-pull-1 {
  right: 8.33333333%;
}
.col-xs-pull-0 {
  right: auto;
}
.col-xs-push-12 {
  left: 100%;
}
.col-xs-push-11 {
  left: 91.66666667%;
}
.col-xs-push-10 {
  left: 83.33333333%;
}
.col-xs-push-9 {
  left: 75%;
}
.col-xs-push-8 {
  left: 66.66666667%;
}
.col-xs-push-7 {
  left: 58.33333333%;
}
.col-xs-push-6 {
  left: 50%;
}
.col-xs-push-5 {
  left: 41.66666667%;
}
.col-xs-push-4 {
  left: 33.33333333%;
}
.col-xs-push-3 {
  left: 25%;
}
.col-xs-push-2 {
  left: 16.66666667%;
}
.col-xs-push-1 {
  left: 8.33333333%;
}
.col-xs-push-0 {
  left: auto;
}
.col-xs-offset-12 {
  margin-left: 100%;
}
.col-xs-offset-11 {
  margin-left: 91.66666667%;
}
.col-xs-offset-10 {
  margin-left: 83.33333333%;
}
.col-xs-offset-9 {
  margin-left: 75%;
}
.col-xs-offset-8 {
  margin-left: 66.66666667%;
}
.col-xs-offset-7 {
  margin-left: 58.33333333%;
}
.col-xs-offset-6 {
  margin-left: 50%;
}
.col-xs-offset-5 {
  margin-left: 41.66666667%;
}
.col-xs-offset-4 {
  margin-left: 33.33333333%;
}
.col-xs-offset-3 {
  margin-left: 25%;
}
.col-xs-offset-2 {
  margin-left: 16.66666667%;
}
.col-xs-offset-1 {
  margin-left: 8.33333333%;
}
.col-xs-offset-0 {
  margin-left: 0%;
}
@media (min-width: 768px) {
  .col-sm-1, .col-sm-2, .col-sm-3, .col-sm-4, .col-sm-5, .col-sm-6, .col-sm-7, .col-sm-8, .col-sm-9, .col-sm-10, .col-sm-11, .col-sm-12 {
    float: left;
  }
  .col-sm-12 {
    width: 100%;
  }
  .col-sm-11 {
    width: 91.66666667%;
  }
  .col-sm-10 {
    width: 83.33333333%;
  }
  .col-sm-9 {
    width: 75%;
  }
  .col-sm-8 {
    width: 66.66666667%;
  }
  .col-sm-7 {
    width: 58.33333333%;
  }
  .col-sm-6 {
    width: 50%;
  }
  .col-sm-5 {
    width: 41.66666667%;
  }
  .col-sm-4 {
    width: 33.33333333%;
  }
  .col-sm-3 {
    width: 25%;
  }
  .col-sm-2 {
    width: 16.66666667%;
  }
  .col-sm-1 {
    width: 8.33333333%;
  }
  .col-sm-pull-12 {
    right: 100%;
  }
  .col-sm-pull-11 {
    right: 91.66666667%;
  }
  .col-sm-pull-10 {
    right: 83.33333333%;
  }
  .col-sm-pull-9 {
    right: 75%;
  }
  .col-sm-pull-8 {
    right: 66.66666667%;
  }
  .col-sm-pull-7 {
    right: 58.33333333%;
  }
  .col-sm-pull-6 {
    right: 50%;
  }
  .col-sm-pull-5 {
    right: 41.66666667%;
  }
  .col-sm-pull-4 {
    right: 33.33333333%;
  }
  .col-sm-pull-3 {
    right: 25%;
  }
  .col-sm-pull-2 {
    right: 16.66666667%;
  }
  .col-sm-pull-1 {
    right: 8.33333333%;
  }
  .col-sm-pull-0 {
    right: auto;
  }
  .col-sm-push-12 {
    left: 100%;
  }
  .col-sm-push-11 {
    left: 91.66666667%;
  }
  .col-sm-push-10 {
    left: 83.33333333%;
  }
  .col-sm-push-9 {
    left: 75%;
  }
  .col-sm-push-8 {
    left: 66.66666667%;
  }
  .col-sm-push-7 {
    left: 58.33333333%;
  }
  .col-sm-push-6 {
    left: 50%;
  }
  .col-sm-push-5 {
    left: 41.66666667%;
  }
  .col-sm-push-4 {
    left: 33.33333333%;
  }
  .col-sm-push-3 {
    left: 25%;
  }
  .col-sm-push-2 {
    left: 16.66666667%;
  }
  .col-sm-push-1 {
    left: 8.33333333%;
  }
  .col-sm-push-0 {
    left: auto;
  }
  .col-sm-offset-12 {
    margin-left: 100%;
  }
  .col-sm-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-sm-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-sm-offset-9 {
    margin-left: 75%;
  }
  .col-sm-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-sm-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-sm-offset-6 {
    margin-left: 50%;
  }
  .col-sm-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-sm-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-sm-offset-3 {
    margin-left: 25%;
  }
  .col-sm-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-sm-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-sm-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 992px) {
  .col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-11, .col-md-12 {
    float: left;
  }
  .col-md-12 {
    width: 100%;
  }
  .col-md-11 {
    width: 91.66666667%;
  }
  .col-md-10 {
    width: 83.33333333%;
  }
  .col-md-9 {
    width: 75%;
  }
  .col-md-8 {
    width: 66.66666667%;
  }
  .col-md-7 {
    width: 58.33333333%;
  }
  .col-md-6 {
    width: 50%;
  }
  .col-md-5 {
    width: 41.66666667%;
  }
  .col-md-4 {
    width: 33.33333333%;
  }
  .col-md-3 {
    width: 25%;
  }
  .col-md-2 {
    width: 16.66666667%;
  }
  .col-md-1 {
    width: 8.33333333%;
  }
  .col-md-pull-12 {
    right: 100%;
  }
  .col-md-pull-11 {
    right: 91.66666667%;
  }
  .col-md-pull-10 {
    right: 83.33333333%;
  }
  .col-md-pull-9 {
    right: 75%;
  }
  .col-md-pull-8 {
    right: 66.66666667%;
  }
  .col-md-pull-7 {
    right: 58.33333333%;
  }
  .col-md-pull-6 {
    right: 50%;
  }
  .col-md-pull-5 {
    right: 41.66666667%;
  }
  .col-md-pull-4 {
    right: 33.33333333%;
  }
  .col-md-pull-3 {
    right: 25%;
  }
  .col-md-pull-2 {
    right: 16.66666667%;
  }
  .col-md-pull-1 {
    right: 8.33333333%;
  }
  .col-md-pull-0 {
    right: auto;
  }
  .col-md-push-12 {
    left: 100%;
  }
  .col-md-push-11 {
    left: 91.66666667%;
  }
  .col-md-push-10 {
    left: 83.33333333%;
  }
  .col-md-push-9 {
    left: 75%;
  }
  .col-md-push-8 {
    left: 66.66666667%;
  }
  .col-md-push-7 {
    left: 58.33333333%;
  }
  .col-md-push-6 {
    left: 50%;
  }
  .col-md-push-5 {
    left: 41.66666667%;
  }
  .col-md-push-4 {
    left: 33.33333333%;
  }
  .col-md-push-3 {
    left: 25%;
  }
  .col-md-push-2 {
    left: 16.66666667%;
  }
  .col-md-push-1 {
    left: 8.33333333%;
  }
  .col-md-push-0 {
    left: auto;
  }
  .col-md-offset-12 {
    margin-left: 100%;
  }
  .col-md-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-md-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-md-offset-9 {
    margin-left: 75%;
  }
  .col-md-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-md-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-md-offset-6 {
    margin-left: 50%;
  }
  .col-md-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-md-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-md-offset-3 {
    margin-left: 25%;
  }
  .col-md-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-md-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-md-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 1200px) {
  .col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-11, .col-lg-12 {
    float: left;
  }
  .col-lg-12 {
    width: 100%;
  }
  .col-lg-11 {
    width: 91.66666667%;
  }
  .col-lg-10 {
    width: 83.33333333%;
  }
  .col-lg-9 {
    width: 75%;
  }
  .col-lg-8 {
    width: 66.66666667%;
  }
  .col-lg-7 {
    width: 58.33333333%;
  }
  .col-lg-6 {
    width: 50%;
  }
  .col-lg-5 {
    width: 41.66666667%;
  }
  .col-lg-4 {
    width: 33.33333333%;
  }
  .col-lg-3 {
    width: 25%;
  }
  .col-lg-2 {
    width: 16.66666667%;
  }
  .col-lg-1 {
    width: 8.33333333%;
  }
  .col-lg-pull-12 {
    right: 100%;
  }
  .col-lg-pull-11 {
    right: 91.66666667%;
  }
  .col-lg-pull-10 {
    right: 83.33333333%;
  }
  .col-lg-pull-9 {
    right: 75%;
  }
  .col-lg-pull-8 {
    right: 66.66666667%;
  }
  .col-lg-pull-7 {
    right: 58.33333333%;
  }
  .col-lg-pull-6 {
    right: 50%;
  }
  .col-lg-pull-5 {
    right: 41.66666667%;
  }
  .col-lg-pull-4 {
    right: 33.33333333%;
  }
  .col-lg-pull-3 {
    right: 25%;
  }
  .col-lg-pull-2 {
    right: 16.66666667%;
  }
  .col-lg-pull-1 {
    right: 8.33333333%;
  }
  .col-lg-pull-0 {
    right: auto;
  }
  .col-lg-push-12 {
    left: 100%;
  }
  .col-lg-push-11 {
    left: 91.66666667%;
  }
  .col-lg-push-10 {
    left: 83.33333333%;
  }
  .col-lg-push-9 {
    left: 75%;
  }
  .col-lg-push-8 {
    left: 66.66666667%;
  }
  .col-lg-push-7 {
    left: 58.33333333%;
  }
  .col-lg-push-6 {
    left: 50%;
  }
  .col-lg-push-5 {
    left: 41.66666667%;
  }
  .col-lg-push-4 {
    left: 33.33333333%;
  }
  .col-lg-push-3 {
    left: 25%;
  }
  .col-lg-push-2 {
    left: 16.66666667%;
  }
  .col-lg-push-1 {
    left: 8.33333333%;
  }
  .col-lg-push-0 {
    left: auto;
  }
  .col-lg-offset-12 {
    margin-left: 100%;
  }
  .col-lg-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-lg-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-lg-offset-9 {
    margin-left: 75%;
  }
  .col-lg-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-lg-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-lg-offset-6 {
    margin-left: 50%;
  }
  .col-lg-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-lg-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-lg-offset-3 {
    margin-left: 25%;
  }
  .col-lg-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-lg-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-lg-offset-0 {
    margin-left: 0%;
  }
}
table {
  background-color: transparent;
}
caption {
  padding-top: 8px;
  padding-bottom: 8px;
  color: #777777;
  text-align: left;
}
th {
  text-align: left;
}
.table {
  width: 100%;
  max-width: 100%;
  margin-bottom: 18px;
}
.table > thead > tr > th,
.table > tbody > tr > th,
.table > tfoot > tr > th,
.table > thead > tr > td,
.table > tbody > tr > td,
.table > tfoot > tr > td {
  padding: 8px;
  line-height: 1.42857143;
  vertical-align: top;
  border-top: 1px solid #ddd;
}
.table > thead > tr > th {
  vertical-align: bottom;
  border-bottom: 2px solid #ddd;
}
.table > caption + thead > tr:first-child > th,
.table > colgroup + thead > tr:first-child > th,
.table > thead:first-child > tr:first-child > th,
.table > caption + thead > tr:first-child > td,
.table > colgroup + thead > tr:first-child > td,
.table > thead:first-child > tr:first-child > td {
  border-top: 0;
}
.table > tbody + tbody {
  border-top: 2px solid #ddd;
}
.table .table {
  background-color: #fff;
}
.table-condensed > thead > tr > th,
.table-condensed > tbody > tr > th,
.table-condensed > tfoot > tr > th,
.table-condensed > thead > tr > td,
.table-condensed > tbody > tr > td,
.table-condensed > tfoot > tr > td {
  padding: 5px;
}
.table-bordered {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > tbody > tr > th,
.table-bordered > tfoot > tr > th,
.table-bordered > thead > tr > td,
.table-bordered > tbody > tr > td,
.table-bordered > tfoot > tr > td {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > thead > tr > td {
  border-bottom-width: 2px;
}
.table-striped > tbody > tr:nth-of-type(odd) {
  background-color: #f9f9f9;
}
.table-hover > tbody > tr:hover {
  background-color: #f5f5f5;
}
table col[class*="col-"] {
  position: static;
  float: none;
  display: table-column;
}
table td[class*="col-"],
table th[class*="col-"] {
  position: static;
  float: none;
  display: table-cell;
}
.table > thead > tr > td.active,
.table > tbody > tr > td.active,
.table > tfoot > tr > td.active,
.table > thead > tr > th.active,
.table > tbody > tr > th.active,
.table > tfoot > tr > th.active,
.table > thead > tr.active > td,
.table > tbody > tr.active > td,
.table > tfoot > tr.active > td,
.table > thead > tr.active > th,
.table > tbody > tr.active > th,
.table > tfoot > tr.active > th {
  background-color: #f5f5f5;
}
.table-hover > tbody > tr > td.active:hover,
.table-hover > tbody > tr > th.active:hover,
.table-hover > tbody > tr.active:hover > td,
.table-hover > tbody > tr:hover > .active,
.table-hover > tbody > tr.active:hover > th {
  background-color: #e8e8e8;
}
.table > thead > tr > td.success,
.table > tbody > tr > td.success,
.table > tfoot > tr > td.success,
.table > thead > tr > th.success,
.table > tbody > tr > th.success,
.table > tfoot > tr > th.success,
.table > thead > tr.success > td,
.table > tbody > tr.success > td,
.table > tfoot > tr.success > td,
.table > thead > tr.success > th,
.table > tbody > tr.success > th,
.table > tfoot > tr.success > th {
  background-color: #dff0d8;
}
.table-hover > tbody > tr > td.success:hover,
.table-hover > tbody > tr > th.success:hover,
.table-hover > tbody > tr.success:hover > td,
.table-hover > tbody > tr:hover > .success,
.table-hover > tbody > tr.success:hover > th {
  background-color: #d0e9c6;
}
.table > thead > tr > td.info,
.table > tbody > tr > td.info,
.table > tfoot > tr > td.info,
.table > thead > tr > th.info,
.table > tbody > tr > th.info,
.table > tfoot > tr > th.info,
.table > thead > tr.info > td,
.table > tbody > tr.info > td,
.table > tfoot > tr.info > td,
.table > thead > tr.info > th,
.table > tbody > tr.info > th,
.table > tfoot > tr.info > th {
  background-color: #d9edf7;
}
.table-hover > tbody > tr > td.info:hover,
.table-hover > tbody > tr > th.info:hover,
.table-hover > tbody > tr.info:hover > td,
.table-hover > tbody > tr:hover > .info,
.table-hover > tbody > tr.info:hover > th {
  background-color: #c4e3f3;
}
.table > thead > tr > td.warning,
.table > tbody > tr > td.warning,
.table > tfoot > tr > td.warning,
.table > thead > tr > th.warning,
.table > tbody > tr > th.warning,
.table > tfoot > tr > th.warning,
.table > thead > tr.warning > td,
.table > tbody > tr.warning > td,
.table > tfoot > tr.warning > td,
.table > thead > tr.warning > th,
.table > tbody > tr.warning > th,
.table > tfoot > tr.warning > th {
  background-color: #fcf8e3;
}
.table-hover > tbody > tr > td.warning:hover,
.table-hover > tbody > tr > th.warning:hover,
.table-hover > tbody > tr.warning:hover > td,
.table-hover > tbody > tr:hover > .warning,
.table-hover > tbody > tr.warning:hover > th {
  background-color: #faf2cc;
}
.table > thead > tr > td.danger,
.table > tbody > tr > td.danger,
.table > tfoot > tr > td.danger,
.table > thead > tr > th.danger,
.table > tbody > tr > th.danger,
.table > tfoot > tr > th.danger,
.table > thead > tr.danger > td,
.table > tbody > tr.danger > td,
.table > tfoot > tr.danger > td,
.table > thead > tr.danger > th,
.table > tbody > tr.danger > th,
.table > tfoot > tr.danger > th {
  background-color: #f2dede;
}
.table-hover > tbody > tr > td.danger:hover,
.table-hover > tbody > tr > th.danger:hover,
.table-hover > tbody > tr.danger:hover > td,
.table-hover > tbody > tr:hover > .danger,
.table-hover > tbody > tr.danger:hover > th {
  background-color: #ebcccc;
}
.table-responsive {
  overflow-x: auto;
  min-height: 0.01%;
}
@media screen and (max-width: 767px) {
  .table-responsive {
    width: 100%;
    margin-bottom: 13.5px;
    overflow-y: hidden;
    -ms-overflow-style: -ms-autohiding-scrollbar;
    border: 1px solid #ddd;
  }
  .table-responsive > .table {
    margin-bottom: 0;
  }
  .table-responsive > .table > thead > tr > th,
  .table-responsive > .table > tbody > tr > th,
  .table-responsive > .table > tfoot > tr > th,
  .table-responsive > .table > thead > tr > td,
  .table-responsive > .table > tbody > tr > td,
  .table-responsive > .table > tfoot > tr > td {
    white-space: nowrap;
  }
  .table-responsive > .table-bordered {
    border: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:first-child,
  .table-responsive > .table-bordered > tbody > tr > th:first-child,
  .table-responsive > .table-bordered > tfoot > tr > th:first-child,
  .table-responsive > .table-bordered > thead > tr > td:first-child,
  .table-responsive > .table-bordered > tbody > tr > td:first-child,
  .table-responsive > .table-bordered > tfoot > tr > td:first-child {
    border-left: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:last-child,
  .table-responsive > .table-bordered > tbody > tr > th:last-child,
  .table-responsive > .table-bordered > tfoot > tr > th:last-child,
  .table-responsive > .table-bordered > thead > tr > td:last-child,
  .table-responsive > .table-bordered > tbody > tr > td:last-child,
  .table-responsive > .table-bordered > tfoot > tr > td:last-child {
    border-right: 0;
  }
  .table-responsive > .table-bordered > tbody > tr:last-child > th,
  .table-responsive > .table-bordered > tfoot > tr:last-child > th,
  .table-responsive > .table-bordered > tbody > tr:last-child > td,
  .table-responsive > .table-bordered > tfoot > tr:last-child > td {
    border-bottom: 0;
  }
}
fieldset {
  padding: 0;
  margin: 0;
  border: 0;
  min-width: 0;
}
legend {
  display: block;
  width: 100%;
  padding: 0;
  margin-bottom: 18px;
  font-size: 19.5px;
  line-height: inherit;
  color: #333333;
  border: 0;
  border-bottom: 1px solid #e5e5e5;
}
label {
  display: inline-block;
  max-width: 100%;
  margin-bottom: 5px;
  font-weight: bold;
}
input[type="search"] {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
input[type="radio"],
input[type="checkbox"] {
  margin: 4px 0 0;
  margin-top: 1px \9;
  line-height: normal;
}
input[type="file"] {
  display: block;
}
input[type="range"] {
  display: block;
  width: 100%;
}
select[multiple],
select[size] {
  height: auto;
}
input[type="file"]:focus,
input[type="radio"]:focus,
input[type="checkbox"]:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
output {
  display: block;
  padding-top: 7px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
}
.form-control {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
}
.form-control:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.form-control::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.form-control:-ms-input-placeholder {
  color: #999;
}
.form-control::-webkit-input-placeholder {
  color: #999;
}
.form-control::-ms-expand {
  border: 0;
  background-color: transparent;
}
.form-control[disabled],
.form-control[readonly],
fieldset[disabled] .form-control {
  background-color: #eeeeee;
  opacity: 1;
}
.form-control[disabled],
fieldset[disabled] .form-control {
  cursor: not-allowed;
}
textarea.form-control {
  height: auto;
}
input[type="search"] {
  -webkit-appearance: none;
}
@media screen and (-webkit-min-device-pixel-ratio: 0) {
  input[type="date"].form-control,
  input[type="time"].form-control,
  input[type="datetime-local"].form-control,
  input[type="month"].form-control {
    line-height: 32px;
  }
  input[type="date"].input-sm,
  input[type="time"].input-sm,
  input[type="datetime-local"].input-sm,
  input[type="month"].input-sm,
  .input-group-sm input[type="date"],
  .input-group-sm input[type="time"],
  .input-group-sm input[type="datetime-local"],
  .input-group-sm input[type="month"] {
    line-height: 30px;
  }
  input[type="date"].input-lg,
  input[type="time"].input-lg,
  input[type="datetime-local"].input-lg,
  input[type="month"].input-lg,
  .input-group-lg input[type="date"],
  .input-group-lg input[type="time"],
  .input-group-lg input[type="datetime-local"],
  .input-group-lg input[type="month"] {
    line-height: 45px;
  }
}
.form-group {
  margin-bottom: 15px;
}
.radio,
.checkbox {
  position: relative;
  display: block;
  margin-top: 10px;
  margin-bottom: 10px;
}
.radio label,
.checkbox label {
  min-height: 18px;
  padding-left: 20px;
  margin-bottom: 0;
  font-weight: normal;
  cursor: pointer;
}
.radio input[type="radio"],
.radio-inline input[type="radio"],
.checkbox input[type="checkbox"],
.checkbox-inline input[type="checkbox"] {
  position: absolute;
  margin-left: -20px;
  margin-top: 4px \9;
}
.radio + .radio,
.checkbox + .checkbox {
  margin-top: -5px;
}
.radio-inline,
.checkbox-inline {
  position: relative;
  display: inline-block;
  padding-left: 20px;
  margin-bottom: 0;
  vertical-align: middle;
  font-weight: normal;
  cursor: pointer;
}
.radio-inline + .radio-inline,
.checkbox-inline + .checkbox-inline {
  margin-top: 0;
  margin-left: 10px;
}
input[type="radio"][disabled],
input[type="checkbox"][disabled],
input[type="radio"].disabled,
input[type="checkbox"].disabled,
fieldset[disabled] input[type="radio"],
fieldset[disabled] input[type="checkbox"] {
  cursor: not-allowed;
}
.radio-inline.disabled,
.checkbox-inline.disabled,
fieldset[disabled] .radio-inline,
fieldset[disabled] .checkbox-inline {
  cursor: not-allowed;
}
.radio.disabled label,
.checkbox.disabled label,
fieldset[disabled] .radio label,
fieldset[disabled] .checkbox label {
  cursor: not-allowed;
}
.form-control-static {
  padding-top: 7px;
  padding-bottom: 7px;
  margin-bottom: 0;
  min-height: 31px;
}
.form-control-static.input-lg,
.form-control-static.input-sm {
  padding-left: 0;
  padding-right: 0;
}
.input-sm {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-sm {
  height: 30px;
  line-height: 30px;
}
textarea.input-sm,
select[multiple].input-sm {
  height: auto;
}
.form-group-sm .form-control {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.form-group-sm select.form-control {
  height: 30px;
  line-height: 30px;
}
.form-group-sm textarea.form-control,
.form-group-sm select[multiple].form-control {
  height: auto;
}
.form-group-sm .form-control-static {
  height: 30px;
  min-height: 30px;
  padding: 6px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.input-lg {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-lg {
  height: 45px;
  line-height: 45px;
}
textarea.input-lg,
select[multiple].input-lg {
  height: auto;
}
.form-group-lg .form-control {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.form-group-lg select.form-control {
  height: 45px;
  line-height: 45px;
}
.form-group-lg textarea.form-control,
.form-group-lg select[multiple].form-control {
  height: auto;
}
.form-group-lg .form-control-static {
  height: 45px;
  min-height: 35px;
  padding: 11px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.has-feedback {
  position: relative;
}
.has-feedback .form-control {
  padding-right: 40px;
}
.form-control-feedback {
  position: absolute;
  top: 0;
  right: 0;
  z-index: 2;
  display: block;
  width: 32px;
  height: 32px;
  line-height: 32px;
  text-align: center;
  pointer-events: none;
}
.input-lg + .form-control-feedback,
.input-group-lg + .form-control-feedback,
.form-group-lg .form-control + .form-control-feedback {
  width: 45px;
  height: 45px;
  line-height: 45px;
}
.input-sm + .form-control-feedback,
.input-group-sm + .form-control-feedback,
.form-group-sm .form-control + .form-control-feedback {
  width: 30px;
  height: 30px;
  line-height: 30px;
}
.has-success .help-block,
.has-success .control-label,
.has-success .radio,
.has-success .checkbox,
.has-success .radio-inline,
.has-success .checkbox-inline,
.has-success.radio label,
.has-success.checkbox label,
.has-success.radio-inline label,
.has-success.checkbox-inline label {
  color: #3c763d;
}
.has-success .form-control {
  border-color: #3c763d;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-success .form-control:focus {
  border-color: #2b542c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
}
.has-success .input-group-addon {
  color: #3c763d;
  border-color: #3c763d;
  background-color: #dff0d8;
}
.has-success .form-control-feedback {
  color: #3c763d;
}
.has-warning .help-block,
.has-warning .control-label,
.has-warning .radio,
.has-warning .checkbox,
.has-warning .radio-inline,
.has-warning .checkbox-inline,
.has-warning.radio label,
.has-warning.checkbox label,
.has-warning.radio-inline label,
.has-warning.checkbox-inline label {
  color: #8a6d3b;
}
.has-warning .form-control {
  border-color: #8a6d3b;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-warning .form-control:focus {
  border-color: #66512c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
}
.has-warning .input-group-addon {
  color: #8a6d3b;
  border-color: #8a6d3b;
  background-color: #fcf8e3;
}
.has-warning .form-control-feedback {
  color: #8a6d3b;
}
.has-error .help-block,
.has-error .control-label,
.has-error .radio,
.has-error .checkbox,
.has-error .radio-inline,
.has-error .checkbox-inline,
.has-error.radio label,
.has-error.checkbox label,
.has-error.radio-inline label,
.has-error.checkbox-inline label {
  color: #a94442;
}
.has-error .form-control {
  border-color: #a94442;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-error .form-control:focus {
  border-color: #843534;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
}
.has-error .input-group-addon {
  color: #a94442;
  border-color: #a94442;
  background-color: #f2dede;
}
.has-error .form-control-feedback {
  color: #a94442;
}
.has-feedback label ~ .form-control-feedback {
  top: 23px;
}
.has-feedback label.sr-only ~ .form-control-feedback {
  top: 0;
}
.help-block {
  display: block;
  margin-top: 5px;
  margin-bottom: 10px;
  color: #404040;
}
@media (min-width: 768px) {
  .form-inline .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .form-inline .form-control-static {
    display: inline-block;
  }
  .form-inline .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .form-inline .input-group .input-group-addon,
  .form-inline .input-group .input-group-btn,
  .form-inline .input-group .form-control {
    width: auto;
  }
  .form-inline .input-group > .form-control {
    width: 100%;
  }
  .form-inline .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio,
  .form-inline .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio label,
  .form-inline .checkbox label {
    padding-left: 0;
  }
  .form-inline .radio input[type="radio"],
  .form-inline .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .form-inline .has-feedback .form-control-feedback {
    top: 0;
  }
}
.form-horizontal .radio,
.form-horizontal .checkbox,
.form-horizontal .radio-inline,
.form-horizontal .checkbox-inline {
  margin-top: 0;
  margin-bottom: 0;
  padding-top: 7px;
}
.form-horizontal .radio,
.form-horizontal .checkbox {
  min-height: 25px;
}
.form-horizontal .form-group {
  margin-left: 0px;
  margin-right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .control-label {
    text-align: right;
    margin-bottom: 0;
    padding-top: 7px;
  }
}
.form-horizontal .has-feedback .form-control-feedback {
  right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .form-group-lg .control-label {
    padding-top: 11px;
    font-size: 17px;
  }
}
@media (min-width: 768px) {
  .form-horizontal .form-group-sm .control-label {
    padding-top: 6px;
    font-size: 12px;
  }
}
.btn {
  display: inline-block;
  margin-bottom: 0;
  font-weight: normal;
  text-align: center;
  vertical-align: middle;
  touch-action: manipulation;
  cursor: pointer;
  background-image: none;
  border: 1px solid transparent;
  white-space: nowrap;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  border-radius: 2px;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}
.btn:focus,
.btn:active:focus,
.btn.active:focus,
.btn.focus,
.btn:active.focus,
.btn.active.focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
.btn:hover,
.btn:focus,
.btn.focus {
  color: #333;
  text-decoration: none;
}
.btn:active,
.btn.active {
  outline: 0;
  background-image: none;
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn.disabled,
.btn[disabled],
fieldset[disabled] .btn {
  cursor: not-allowed;
  opacity: 0.65;
  filter: alpha(opacity=65);
  -webkit-box-shadow: none;
  box-shadow: none;
}
a.btn.disabled,
fieldset[disabled] a.btn {
  pointer-events: none;
}
.btn-default {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.btn-default:focus,
.btn-default.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.btn-default:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active:hover,
.btn-default.active:hover,
.open > .dropdown-toggle.btn-default:hover,
.btn-default:active:focus,
.btn-default.active:focus,
.open > .dropdown-toggle.btn-default:focus,
.btn-default:active.focus,
.btn-default.active.focus,
.open > .dropdown-toggle.btn-default.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  background-image: none;
}
.btn-default.disabled:hover,
.btn-default[disabled]:hover,
fieldset[disabled] .btn-default:hover,
.btn-default.disabled:focus,
.btn-default[disabled]:focus,
fieldset[disabled] .btn-default:focus,
.btn-default.disabled.focus,
.btn-default[disabled].focus,
fieldset[disabled] .btn-default.focus {
  background-color: #fff;
  border-color: #ccc;
}
.btn-default .badge {
  color: #fff;
  background-color: #333;
}
.btn-primary {
  color: #fff;
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary:focus,
.btn-primary.focus {
  color: #fff;
  background-color: #286090;
  border-color: #122b40;
}
.btn-primary:hover {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active:hover,
.btn-primary.active:hover,
.open > .dropdown-toggle.btn-primary:hover,
.btn-primary:active:focus,
.btn-primary.active:focus,
.open > .dropdown-toggle.btn-primary:focus,
.btn-primary:active.focus,
.btn-primary.active.focus,
.open > .dropdown-toggle.btn-primary.focus {
  color: #fff;
  background-color: #204d74;
  border-color: #122b40;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  background-image: none;
}
.btn-primary.disabled:hover,
.btn-primary[disabled]:hover,
fieldset[disabled] .btn-primary:hover,
.btn-primary.disabled:focus,
.btn-primary[disabled]:focus,
fieldset[disabled] .btn-primary:focus,
.btn-primary.disabled.focus,
.btn-primary[disabled].focus,
fieldset[disabled] .btn-primary.focus {
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary .badge {
  color: #337ab7;
  background-color: #fff;
}
.btn-success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success:focus,
.btn-success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.btn-success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active:hover,
.btn-success.active:hover,
.open > .dropdown-toggle.btn-success:hover,
.btn-success:active:focus,
.btn-success.active:focus,
.open > .dropdown-toggle.btn-success:focus,
.btn-success:active.focus,
.btn-success.active.focus,
.open > .dropdown-toggle.btn-success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  background-image: none;
}
.btn-success.disabled:hover,
.btn-success[disabled]:hover,
fieldset[disabled] .btn-success:hover,
.btn-success.disabled:focus,
.btn-success[disabled]:focus,
fieldset[disabled] .btn-success:focus,
.btn-success.disabled.focus,
.btn-success[disabled].focus,
fieldset[disabled] .btn-success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.btn-info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info:focus,
.btn-info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.btn-info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active:hover,
.btn-info.active:hover,
.open > .dropdown-toggle.btn-info:hover,
.btn-info:active:focus,
.btn-info.active:focus,
.open > .dropdown-toggle.btn-info:focus,
.btn-info:active.focus,
.btn-info.active.focus,
.open > .dropdown-toggle.btn-info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  background-image: none;
}
.btn-info.disabled:hover,
.btn-info[disabled]:hover,
fieldset[disabled] .btn-info:hover,
.btn-info.disabled:focus,
.btn-info[disabled]:focus,
fieldset[disabled] .btn-info:focus,
.btn-info.disabled.focus,
.btn-info[disabled].focus,
fieldset[disabled] .btn-info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.btn-warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning:focus,
.btn-warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.btn-warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active:hover,
.btn-warning.active:hover,
.open > .dropdown-toggle.btn-warning:hover,
.btn-warning:active:focus,
.btn-warning.active:focus,
.open > .dropdown-toggle.btn-warning:focus,
.btn-warning:active.focus,
.btn-warning.active.focus,
.open > .dropdown-toggle.btn-warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  background-image: none;
}
.btn-warning.disabled:hover,
.btn-warning[disabled]:hover,
fieldset[disabled] .btn-warning:hover,
.btn-warning.disabled:focus,
.btn-warning[disabled]:focus,
fieldset[disabled] .btn-warning:focus,
.btn-warning.disabled.focus,
.btn-warning[disabled].focus,
fieldset[disabled] .btn-warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.btn-danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger:focus,
.btn-danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.btn-danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active:hover,
.btn-danger.active:hover,
.open > .dropdown-toggle.btn-danger:hover,
.btn-danger:active:focus,
.btn-danger.active:focus,
.open > .dropdown-toggle.btn-danger:focus,
.btn-danger:active.focus,
.btn-danger.active.focus,
.open > .dropdown-toggle.btn-danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  background-image: none;
}
.btn-danger.disabled:hover,
.btn-danger[disabled]:hover,
fieldset[disabled] .btn-danger:hover,
.btn-danger.disabled:focus,
.btn-danger[disabled]:focus,
fieldset[disabled] .btn-danger:focus,
.btn-danger.disabled.focus,
.btn-danger[disabled].focus,
fieldset[disabled] .btn-danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger .badge {
  color: #d9534f;
  background-color: #fff;
}
.btn-link {
  color: #337ab7;
  font-weight: normal;
  border-radius: 0;
}
.btn-link,
.btn-link:active,
.btn-link.active,
.btn-link[disabled],
fieldset[disabled] .btn-link {
  background-color: transparent;
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn-link,
.btn-link:hover,
.btn-link:focus,
.btn-link:active {
  border-color: transparent;
}
.btn-link:hover,
.btn-link:focus {
  color: #23527c;
  text-decoration: underline;
  background-color: transparent;
}
.btn-link[disabled]:hover,
fieldset[disabled] .btn-link:hover,
.btn-link[disabled]:focus,
fieldset[disabled] .btn-link:focus {
  color: #777777;
  text-decoration: none;
}
.btn-lg,
.btn-group-lg > .btn {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.btn-sm,
.btn-group-sm > .btn {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-xs,
.btn-group-xs > .btn {
  padding: 1px 5px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-block {
  display: block;
  width: 100%;
}
.btn-block + .btn-block {
  margin-top: 5px;
}
input[type="submit"].btn-block,
input[type="reset"].btn-block,
input[type="button"].btn-block {
  width: 100%;
}
.fade {
  opacity: 0;
  -webkit-transition: opacity 0.15s linear;
  -o-transition: opacity 0.15s linear;
  transition: opacity 0.15s linear;
}
.fade.in {
  opacity: 1;
}
.collapse {
  display: none;
}
.collapse.in {
  display: block;
}
tr.collapse.in {
  display: table-row;
}
tbody.collapse.in {
  display: table-row-group;
}
.collapsing {
  position: relative;
  height: 0;
  overflow: hidden;
  -webkit-transition-property: height, visibility;
  transition-property: height, visibility;
  -webkit-transition-duration: 0.35s;
  transition-duration: 0.35s;
  -webkit-transition-timing-function: ease;
  transition-timing-function: ease;
}
.caret {
  display: inline-block;
  width: 0;
  height: 0;
  margin-left: 2px;
  vertical-align: middle;
  border-top: 4px dashed;
  border-top: 4px solid \9;
  border-right: 4px solid transparent;
  border-left: 4px solid transparent;
}
.dropup,
.dropdown {
  position: relative;
}
.dropdown-toggle:focus {
  outline: 0;
}
.dropdown-menu {
  position: absolute;
  top: 100%;
  left: 0;
  z-index: 1000;
  display: none;
  float: left;
  min-width: 160px;
  padding: 5px 0;
  margin: 2px 0 0;
  list-style: none;
  font-size: 13px;
  text-align: left;
  background-color: #fff;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.15);
  border-radius: 2px;
  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  background-clip: padding-box;
}
.dropdown-menu.pull-right {
  right: 0;
  left: auto;
}
.dropdown-menu .divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.dropdown-menu > li > a {
  display: block;
  padding: 3px 20px;
  clear: both;
  font-weight: normal;
  line-height: 1.42857143;
  color: #333333;
  white-space: nowrap;
}
.dropdown-menu > li > a:hover,
.dropdown-menu > li > a:focus {
  text-decoration: none;
  color: #262626;
  background-color: #f5f5f5;
}
.dropdown-menu > .active > a,
.dropdown-menu > .active > a:hover,
.dropdown-menu > .active > a:focus {
  color: #fff;
  text-decoration: none;
  outline: 0;
  background-color: #337ab7;
}
.dropdown-menu > .disabled > a,
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  color: #777777;
}
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  text-decoration: none;
  background-color: transparent;
  background-image: none;
  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
  cursor: not-allowed;
}
.open > .dropdown-menu {
  display: block;
}
.open > a {
  outline: 0;
}
.dropdown-menu-right {
  left: auto;
  right: 0;
}
.dropdown-menu-left {
  left: 0;
  right: auto;
}
.dropdown-header {
  display: block;
  padding: 3px 20px;
  font-size: 12px;
  line-height: 1.42857143;
  color: #777777;
  white-space: nowrap;
}
.dropdown-backdrop {
  position: fixed;
  left: 0;
  right: 0;
  bottom: 0;
  top: 0;
  z-index: 990;
}
.pull-right > .dropdown-menu {
  right: 0;
  left: auto;
}
.dropup .caret,
.navbar-fixed-bottom .dropdown .caret {
  border-top: 0;
  border-bottom: 4px dashed;
  border-bottom: 4px solid \9;
  content: "";
}
.dropup .dropdown-menu,
.navbar-fixed-bottom .dropdown .dropdown-menu {
  top: auto;
  bottom: 100%;
  margin-bottom: 2px;
}
@media (min-width: 541px) {
  .navbar-right .dropdown-menu {
    left: auto;
    right: 0;
  }
  .navbar-right .dropdown-menu-left {
    left: 0;
    right: auto;
  }
}
.btn-group,
.btn-group-vertical {
  position: relative;
  display: inline-block;
  vertical-align: middle;
}
.btn-group > .btn,
.btn-group-vertical > .btn {
  position: relative;
  float: left;
}
.btn-group > .btn:hover,
.btn-group-vertical > .btn:hover,
.btn-group > .btn:focus,
.btn-group-vertical > .btn:focus,
.btn-group > .btn:active,
.btn-group-vertical > .btn:active,
.btn-group > .btn.active,
.btn-group-vertical > .btn.active {
  z-index: 2;
}
.btn-group .btn + .btn,
.btn-group .btn + .btn-group,
.btn-group .btn-group + .btn,
.btn-group .btn-group + .btn-group {
  margin-left: -1px;
}
.btn-toolbar {
  margin-left: -5px;
}
.btn-toolbar .btn,
.btn-toolbar .btn-group,
.btn-toolbar .input-group {
  float: left;
}
.btn-toolbar > .btn,
.btn-toolbar > .btn-group,
.btn-toolbar > .input-group {
  margin-left: 5px;
}
.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {
  border-radius: 0;
}
.btn-group > .btn:first-child {
  margin-left: 0;
}
.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn:last-child:not(:first-child),
.btn-group > .dropdown-toggle:not(:first-child) {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group > .btn-group {
  float: left;
}
.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group .dropdown-toggle:active,
.btn-group.open .dropdown-toggle {
  outline: 0;
}
.btn-group > .btn + .dropdown-toggle {
  padding-left: 8px;
  padding-right: 8px;
}
.btn-group > .btn-lg + .dropdown-toggle {
  padding-left: 12px;
  padding-right: 12px;
}
.btn-group.open .dropdown-toggle {
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn-group.open .dropdown-toggle.btn-link {
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn .caret {
  margin-left: 0;
}
.btn-lg .caret {
  border-width: 5px 5px 0;
  border-bottom-width: 0;
}
.dropup .btn-lg .caret {
  border-width: 0 5px 5px;
}
.btn-group-vertical > .btn,
.btn-group-vertical > .btn-group,
.btn-group-vertical > .btn-group > .btn {
  display: block;
  float: none;
  width: 100%;
  max-width: 100%;
}
.btn-group-vertical > .btn-group > .btn {
  float: none;
}
.btn-group-vertical > .btn + .btn,
.btn-group-vertical > .btn + .btn-group,
.btn-group-vertical > .btn-group + .btn,
.btn-group-vertical > .btn-group + .btn-group {
  margin-top: -1px;
  margin-left: 0;
}
.btn-group-vertical > .btn:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.btn-group-vertical > .btn:first-child:not(:last-child) {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn:last-child:not(:first-child) {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.btn-group-justified {
  display: table;
  width: 100%;
  table-layout: fixed;
  border-collapse: separate;
}
.btn-group-justified > .btn,
.btn-group-justified > .btn-group {
  float: none;
  display: table-cell;
  width: 1%;
}
.btn-group-justified > .btn-group .btn {
  width: 100%;
}
.btn-group-justified > .btn-group .dropdown-menu {
  left: auto;
}
[data-toggle="buttons"] > .btn input[type="radio"],
[data-toggle="buttons"] > .btn-group > .btn input[type="radio"],
[data-toggle="buttons"] > .btn input[type="checkbox"],
[data-toggle="buttons"] > .btn-group > .btn input[type="checkbox"] {
  position: absolute;
  clip: rect(0, 0, 0, 0);
  pointer-events: none;
}
.input-group {
  position: relative;
  display: table;
  border-collapse: separate;
}
.input-group[class*="col-"] {
  float: none;
  padding-left: 0;
  padding-right: 0;
}
.input-group .form-control {
  position: relative;
  z-index: 2;
  float: left;
  width: 100%;
  margin-bottom: 0;
}
.input-group .form-control:focus {
  z-index: 3;
}
.input-group-lg > .form-control,
.input-group-lg > .input-group-addon,
.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-group-lg > .form-control,
select.input-group-lg > .input-group-addon,
select.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  line-height: 45px;
}
textarea.input-group-lg > .form-control,
textarea.input-group-lg > .input-group-addon,
textarea.input-group-lg > .input-group-btn > .btn,
select[multiple].input-group-lg > .form-control,
select[multiple].input-group-lg > .input-group-addon,
select[multiple].input-group-lg > .input-group-btn > .btn {
  height: auto;
}
.input-group-sm > .form-control,
.input-group-sm > .input-group-addon,
.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-group-sm > .form-control,
select.input-group-sm > .input-group-addon,
select.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  line-height: 30px;
}
textarea.input-group-sm > .form-control,
textarea.input-group-sm > .input-group-addon,
textarea.input-group-sm > .input-group-btn > .btn,
select[multiple].input-group-sm > .form-control,
select[multiple].input-group-sm > .input-group-addon,
select[multiple].input-group-sm > .input-group-btn > .btn {
  height: auto;
}
.input-group-addon,
.input-group-btn,
.input-group .form-control {
  display: table-cell;
}
.input-group-addon:not(:first-child):not(:last-child),
.input-group-btn:not(:first-child):not(:last-child),
.input-group .form-control:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.input-group-addon,
.input-group-btn {
  width: 1%;
  white-space: nowrap;
  vertical-align: middle;
}
.input-group-addon {
  padding: 6px 12px;
  font-size: 13px;
  font-weight: normal;
  line-height: 1;
  color: #555555;
  text-align: center;
  background-color: #eeeeee;
  border: 1px solid #ccc;
  border-radius: 2px;
}
.input-group-addon.input-sm {
  padding: 5px 10px;
  font-size: 12px;
  border-radius: 1px;
}
.input-group-addon.input-lg {
  padding: 10px 16px;
  font-size: 17px;
  border-radius: 3px;
}
.input-group-addon input[type="radio"],
.input-group-addon input[type="checkbox"] {
  margin-top: 0;
}
.input-group .form-control:first-child,
.input-group-addon:first-child,
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group > .btn,
.input-group-btn:first-child > .dropdown-toggle,
.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),
.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.input-group-addon:first-child {
  border-right: 0;
}
.input-group .form-control:last-child,
.input-group-addon:last-child,
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group > .btn,
.input-group-btn:last-child > .dropdown-toggle,
.input-group-btn:first-child > .btn:not(:first-child),
.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.input-group-addon:last-child {
  border-left: 0;
}
.input-group-btn {
  position: relative;
  font-size: 0;
  white-space: nowrap;
}
.input-group-btn > .btn {
  position: relative;
}
.input-group-btn > .btn + .btn {
  margin-left: -1px;
}
.input-group-btn > .btn:hover,
.input-group-btn > .btn:focus,
.input-group-btn > .btn:active {
  z-index: 2;
}
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group {
  margin-right: -1px;
}
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group {
  z-index: 2;
  margin-left: -1px;
}
.nav {
  margin-bottom: 0;
  padding-left: 0;
  list-style: none;
}
.nav > li {
  position: relative;
  display: block;
}
.nav > li > a {
  position: relative;
  display: block;
  padding: 10px 15px;
}
.nav > li > a:hover,
.nav > li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.nav > li.disabled > a {
  color: #777777;
}
.nav > li.disabled > a:hover,
.nav > li.disabled > a:focus {
  color: #777777;
  text-decoration: none;
  background-color: transparent;
  cursor: not-allowed;
}
.nav .open > a,
.nav .open > a:hover,
.nav .open > a:focus {
  background-color: #eeeeee;
  border-color: #337ab7;
}
.nav .nav-divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.nav > li > a > img {
  max-width: none;
}
.nav-tabs {
  border-bottom: 1px solid #ddd;
}
.nav-tabs > li {
  float: left;
  margin-bottom: -1px;
}
.nav-tabs > li > a {
  margin-right: 2px;
  line-height: 1.42857143;
  border: 1px solid transparent;
  border-radius: 2px 2px 0 0;
}
.nav-tabs > li > a:hover {
  border-color: #eeeeee #eeeeee #ddd;
}
.nav-tabs > li.active > a,
.nav-tabs > li.active > a:hover,
.nav-tabs > li.active > a:focus {
  color: #555555;
  background-color: #fff;
  border: 1px solid #ddd;
  border-bottom-color: transparent;
  cursor: default;
}
.nav-tabs.nav-justified {
  width: 100%;
  border-bottom: 0;
}
.nav-tabs.nav-justified > li {
  float: none;
}
.nav-tabs.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-tabs.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-tabs.nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs.nav-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs.nav-justified > .active > a,
.nav-tabs.nav-justified > .active > a:hover,
.nav-tabs.nav-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs.nav-justified > .active > a,
  .nav-tabs.nav-justified > .active > a:hover,
  .nav-tabs.nav-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.nav-pills > li {
  float: left;
}
.nav-pills > li > a {
  border-radius: 2px;
}
.nav-pills > li + li {
  margin-left: 2px;
}
.nav-pills > li.active > a,
.nav-pills > li.active > a:hover,
.nav-pills > li.active > a:focus {
  color: #fff;
  background-color: #337ab7;
}
.nav-stacked > li {
  float: none;
}
.nav-stacked > li + li {
  margin-top: 2px;
  margin-left: 0;
}
.nav-justified {
  width: 100%;
}
.nav-justified > li {
  float: none;
}
.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs-justified {
  border-bottom: 0;
}
.nav-tabs-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs-justified > .active > a,
.nav-tabs-justified > .active > a:hover,
.nav-tabs-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs-justified > .active > a,
  .nav-tabs-justified > .active > a:hover,
  .nav-tabs-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.tab-content > .tab-pane {
  display: none;
}
.tab-content > .active {
  display: block;
}
.nav-tabs .dropdown-menu {
  margin-top: -1px;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar {
  position: relative;
  min-height: 30px;
  margin-bottom: 18px;
  border: 1px solid transparent;
}
@media (min-width: 541px) {
  .navbar {
    border-radius: 2px;
  }
}
@media (min-width: 541px) {
  .navbar-header {
    float: left;
  }
}
.navbar-collapse {
  overflow-x: visible;
  padding-right: 0px;
  padding-left: 0px;
  border-top: 1px solid transparent;
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);
  -webkit-overflow-scrolling: touch;
}
.navbar-collapse.in {
  overflow-y: auto;
}
@media (min-width: 541px) {
  .navbar-collapse {
    width: auto;
    border-top: 0;
    box-shadow: none;
  }
  .navbar-collapse.collapse {
    display: block !important;
    height: auto !important;
    padding-bottom: 0;
    overflow: visible !important;
  }
  .navbar-collapse.in {
    overflow-y: visible;
  }
  .navbar-fixed-top .navbar-collapse,
  .navbar-static-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    padding-left: 0;
    padding-right: 0;
  }
}
.navbar-fixed-top .navbar-collapse,
.navbar-fixed-bottom .navbar-collapse {
  max-height: 340px;
}
@media (max-device-width: 540px) and (orientation: landscape) {
  .navbar-fixed-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    max-height: 200px;
  }
}
.container > .navbar-header,
.container-fluid > .navbar-header,
.container > .navbar-collapse,
.container-fluid > .navbar-collapse {
  margin-right: 0px;
  margin-left: 0px;
}
@media (min-width: 541px) {
  .container > .navbar-header,
  .container-fluid > .navbar-header,
  .container > .navbar-collapse,
  .container-fluid > .navbar-collapse {
    margin-right: 0;
    margin-left: 0;
  }
}
.navbar-static-top {
  z-index: 1000;
  border-width: 0 0 1px;
}
@media (min-width: 541px) {
  .navbar-static-top {
    border-radius: 0;
  }
}
.navbar-fixed-top,
.navbar-fixed-bottom {
  position: fixed;
  right: 0;
  left: 0;
  z-index: 1030;
}
@media (min-width: 541px) {
  .navbar-fixed-top,
  .navbar-fixed-bottom {
    border-radius: 0;
  }
}
.navbar-fixed-top {
  top: 0;
  border-width: 0 0 1px;
}
.navbar-fixed-bottom {
  bottom: 0;
  margin-bottom: 0;
  border-width: 1px 0 0;
}
.navbar-brand {
  float: left;
  padding: 6px 0px;
  font-size: 17px;
  line-height: 18px;
  height: 30px;
}
.navbar-brand:hover,
.navbar-brand:focus {
  text-decoration: none;
}
.navbar-brand > img {
  display: block;
}
@media (min-width: 541px) {
  .navbar > .container .navbar-brand,
  .navbar > .container-fluid .navbar-brand {
    margin-left: 0px;
  }
}
.navbar-toggle {
  position: relative;
  float: right;
  margin-right: 0px;
  padding: 9px 10px;
  margin-top: -2px;
  margin-bottom: -2px;
  background-color: transparent;
  background-image: none;
  border: 1px solid transparent;
  border-radius: 2px;
}
.navbar-toggle:focus {
  outline: 0;
}
.navbar-toggle .icon-bar {
  display: block;
  width: 22px;
  height: 2px;
  border-radius: 1px;
}
.navbar-toggle .icon-bar + .icon-bar {
  margin-top: 4px;
}
@media (min-width: 541px) {
  .navbar-toggle {
    display: none;
  }
}
.navbar-nav {
  margin: 3px 0px;
}
.navbar-nav > li > a {
  padding-top: 10px;
  padding-bottom: 10px;
  line-height: 18px;
}
@media (max-width: 540px) {
  .navbar-nav .open .dropdown-menu {
    position: static;
    float: none;
    width: auto;
    margin-top: 0;
    background-color: transparent;
    border: 0;
    box-shadow: none;
  }
  .navbar-nav .open .dropdown-menu > li > a,
  .navbar-nav .open .dropdown-menu .dropdown-header {
    padding: 5px 15px 5px 25px;
  }
  .navbar-nav .open .dropdown-menu > li > a {
    line-height: 18px;
  }
  .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-nav .open .dropdown-menu > li > a:focus {
    background-image: none;
  }
}
@media (min-width: 541px) {
  .navbar-nav {
    float: left;
    margin: 0;
  }
  .navbar-nav > li {
    float: left;
  }
  .navbar-nav > li > a {
    padding-top: 6px;
    padding-bottom: 6px;
  }
}
.navbar-form {
  margin-left: 0px;
  margin-right: 0px;
  padding: 10px 0px;
  border-top: 1px solid transparent;
  border-bottom: 1px solid transparent;
  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  margin-top: -1px;
  margin-bottom: -1px;
}
@media (min-width: 768px) {
  .navbar-form .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .navbar-form .form-control-static {
    display: inline-block;
  }
  .navbar-form .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .navbar-form .input-group .input-group-addon,
  .navbar-form .input-group .input-group-btn,
  .navbar-form .input-group .form-control {
    width: auto;
  }
  .navbar-form .input-group > .form-control {
    width: 100%;
  }
  .navbar-form .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio,
  .navbar-form .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio label,
  .navbar-form .checkbox label {
    padding-left: 0;
  }
  .navbar-form .radio input[type="radio"],
  .navbar-form .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .navbar-form .has-feedback .form-control-feedback {
    top: 0;
  }
}
@media (max-width: 540px) {
  .navbar-form .form-group {
    margin-bottom: 5px;
  }
  .navbar-form .form-group:last-child {
    margin-bottom: 0;
  }
}
@media (min-width: 541px) {
  .navbar-form {
    width: auto;
    border: 0;
    margin-left: 0;
    margin-right: 0;
    padding-top: 0;
    padding-bottom: 0;
    -webkit-box-shadow: none;
    box-shadow: none;
  }
}
.navbar-nav > li > .dropdown-menu {
  margin-top: 0;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
  margin-bottom: 0;
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.navbar-btn {
  margin-top: -1px;
  margin-bottom: -1px;
}
.navbar-btn.btn-sm {
  margin-top: 0px;
  margin-bottom: 0px;
}
.navbar-btn.btn-xs {
  margin-top: 4px;
  margin-bottom: 4px;
}
.navbar-text {
  margin-top: 6px;
  margin-bottom: 6px;
}
@media (min-width: 541px) {
  .navbar-text {
    float: left;
    margin-left: 0px;
    margin-right: 0px;
  }
}
@media (min-width: 541px) {
  .navbar-left {
    float: left !important;
    float: left;
  }
  .navbar-right {
    float: right !important;
    float: right;
    margin-right: 0px;
  }
  .navbar-right ~ .navbar-right {
    margin-right: 0;
  }
}
.navbar-default {
  background-color: #f8f8f8;
  border-color: #e7e7e7;
}
.navbar-default .navbar-brand {
  color: #777;
}
.navbar-default .navbar-brand:hover,
.navbar-default .navbar-brand:focus {
  color: #5e5e5e;
  background-color: transparent;
}
.navbar-default .navbar-text {
  color: #777;
}
.navbar-default .navbar-nav > li > a {
  color: #777;
}
.navbar-default .navbar-nav > li > a:hover,
.navbar-default .navbar-nav > li > a:focus {
  color: #333;
  background-color: transparent;
}
.navbar-default .navbar-nav > .active > a,
.navbar-default .navbar-nav > .active > a:hover,
.navbar-default .navbar-nav > .active > a:focus {
  color: #555;
  background-color: #e7e7e7;
}
.navbar-default .navbar-nav > .disabled > a,
.navbar-default .navbar-nav > .disabled > a:hover,
.navbar-default .navbar-nav > .disabled > a:focus {
  color: #ccc;
  background-color: transparent;
}
.navbar-default .navbar-toggle {
  border-color: #ddd;
}
.navbar-default .navbar-toggle:hover,
.navbar-default .navbar-toggle:focus {
  background-color: #ddd;
}
.navbar-default .navbar-toggle .icon-bar {
  background-color: #888;
}
.navbar-default .navbar-collapse,
.navbar-default .navbar-form {
  border-color: #e7e7e7;
}
.navbar-default .navbar-nav > .open > a,
.navbar-default .navbar-nav > .open > a:hover,
.navbar-default .navbar-nav > .open > a:focus {
  background-color: #e7e7e7;
  color: #555;
}
@media (max-width: 540px) {
  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
    color: #777;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #333;
    background-color: transparent;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #555;
    background-color: #e7e7e7;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #ccc;
    background-color: transparent;
  }
}
.navbar-default .navbar-link {
  color: #777;
}
.navbar-default .navbar-link:hover {
  color: #333;
}
.navbar-default .btn-link {
  color: #777;
}
.navbar-default .btn-link:hover,
.navbar-default .btn-link:focus {
  color: #333;
}
.navbar-default .btn-link[disabled]:hover,
fieldset[disabled] .navbar-default .btn-link:hover,
.navbar-default .btn-link[disabled]:focus,
fieldset[disabled] .navbar-default .btn-link:focus {
  color: #ccc;
}
.navbar-inverse {
  background-color: #222;
  border-color: #080808;
}
.navbar-inverse .navbar-brand {
  color: #9d9d9d;
}
.navbar-inverse .navbar-brand:hover,
.navbar-inverse .navbar-brand:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-text {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a:hover,
.navbar-inverse .navbar-nav > li > a:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-nav > .active > a,
.navbar-inverse .navbar-nav > .active > a:hover,
.navbar-inverse .navbar-nav > .active > a:focus {
  color: #fff;
  background-color: #080808;
}
.navbar-inverse .navbar-nav > .disabled > a,
.navbar-inverse .navbar-nav > .disabled > a:hover,
.navbar-inverse .navbar-nav > .disabled > a:focus {
  color: #444;
  background-color: transparent;
}
.navbar-inverse .navbar-toggle {
  border-color: #333;
}
.navbar-inverse .navbar-toggle:hover,
.navbar-inverse .navbar-toggle:focus {
  background-color: #333;
}
.navbar-inverse .navbar-toggle .icon-bar {
  background-color: #fff;
}
.navbar-inverse .navbar-collapse,
.navbar-inverse .navbar-form {
  border-color: #101010;
}
.navbar-inverse .navbar-nav > .open > a,
.navbar-inverse .navbar-nav > .open > a:hover,
.navbar-inverse .navbar-nav > .open > a:focus {
  background-color: #080808;
  color: #fff;
}
@media (max-width: 540px) {
  .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {
    border-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu .divider {
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a {
    color: #9d9d9d;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #fff;
    background-color: transparent;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #fff;
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #444;
    background-color: transparent;
  }
}
.navbar-inverse .navbar-link {
  color: #9d9d9d;
}
.navbar-inverse .navbar-link:hover {
  color: #fff;
}
.navbar-inverse .btn-link {
  color: #9d9d9d;
}
.navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link:focus {
  color: #fff;
}
.navbar-inverse .btn-link[disabled]:hover,
fieldset[disabled] .navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link[disabled]:focus,
fieldset[disabled] .navbar-inverse .btn-link:focus {
  color: #444;
}
.breadcrumb {
  padding: 8px 15px;
  margin-bottom: 18px;
  list-style: none;
  background-color: #f5f5f5;
  border-radius: 2px;
}
.breadcrumb > li {
  display: inline-block;
}
.breadcrumb > li + li:before {
  content: "/\00a0";
  padding: 0 5px;
  color: #5e5e5e;
}
.breadcrumb > .active {
  color: #777777;
}
.pagination {
  display: inline-block;
  padding-left: 0;
  margin: 18px 0;
  border-radius: 2px;
}
.pagination > li {
  display: inline;
}
.pagination > li > a,
.pagination > li > span {
  position: relative;
  float: left;
  padding: 6px 12px;
  line-height: 1.42857143;
  text-decoration: none;
  color: #337ab7;
  background-color: #fff;
  border: 1px solid #ddd;
  margin-left: -1px;
}
.pagination > li:first-child > a,
.pagination > li:first-child > span {
  margin-left: 0;
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.pagination > li:last-child > a,
.pagination > li:last-child > span {
  border-bottom-right-radius: 2px;
  border-top-right-radius: 2px;
}
.pagination > li > a:hover,
.pagination > li > span:hover,
.pagination > li > a:focus,
.pagination > li > span:focus {
  z-index: 2;
  color: #23527c;
  background-color: #eeeeee;
  border-color: #ddd;
}
.pagination > .active > a,
.pagination > .active > span,
.pagination > .active > a:hover,
.pagination > .active > span:hover,
.pagination > .active > a:focus,
.pagination > .active > span:focus {
  z-index: 3;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
  cursor: default;
}
.pagination > .disabled > span,
.pagination > .disabled > span:hover,
.pagination > .disabled > span:focus,
.pagination > .disabled > a,
.pagination > .disabled > a:hover,
.pagination > .disabled > a:focus {
  color: #777777;
  background-color: #fff;
  border-color: #ddd;
  cursor: not-allowed;
}
.pagination-lg > li > a,
.pagination-lg > li > span {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.pagination-lg > li:first-child > a,
.pagination-lg > li:first-child > span {
  border-bottom-left-radius: 3px;
  border-top-left-radius: 3px;
}
.pagination-lg > li:last-child > a,
.pagination-lg > li:last-child > span {
  border-bottom-right-radius: 3px;
  border-top-right-radius: 3px;
}
.pagination-sm > li > a,
.pagination-sm > li > span {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.pagination-sm > li:first-child > a,
.pagination-sm > li:first-child > span {
  border-bottom-left-radius: 1px;
  border-top-left-radius: 1px;
}
.pagination-sm > li:last-child > a,
.pagination-sm > li:last-child > span {
  border-bottom-right-radius: 1px;
  border-top-right-radius: 1px;
}
.pager {
  padding-left: 0;
  margin: 18px 0;
  list-style: none;
  text-align: center;
}
.pager li {
  display: inline;
}
.pager li > a,
.pager li > span {
  display: inline-block;
  padding: 5px 14px;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 15px;
}
.pager li > a:hover,
.pager li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.pager .next > a,
.pager .next > span {
  float: right;
}
.pager .previous > a,
.pager .previous > span {
  float: left;
}
.pager .disabled > a,
.pager .disabled > a:hover,
.pager .disabled > a:focus,
.pager .disabled > span {
  color: #777777;
  background-color: #fff;
  cursor: not-allowed;
}
.label {
  display: inline;
  padding: .2em .6em .3em;
  font-size: 75%;
  font-weight: bold;
  line-height: 1;
  color: #fff;
  text-align: center;
  white-space: nowrap;
  vertical-align: baseline;
  border-radius: .25em;
}
a.label:hover,
a.label:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.label:empty {
  display: none;
}
.btn .label {
  position: relative;
  top: -1px;
}
.label-default {
  background-color: #777777;
}
.label-default[href]:hover,
.label-default[href]:focus {
  background-color: #5e5e5e;
}
.label-primary {
  background-color: #337ab7;
}
.label-primary[href]:hover,
.label-primary[href]:focus {
  background-color: #286090;
}
.label-success {
  background-color: #5cb85c;
}
.label-success[href]:hover,
.label-success[href]:focus {
  background-color: #449d44;
}
.label-info {
  background-color: #5bc0de;
}
.label-info[href]:hover,
.label-info[href]:focus {
  background-color: #31b0d5;
}
.label-warning {
  background-color: #f0ad4e;
}
.label-warning[href]:hover,
.label-warning[href]:focus {
  background-color: #ec971f;
}
.label-danger {
  background-color: #d9534f;
}
.label-danger[href]:hover,
.label-danger[href]:focus {
  background-color: #c9302c;
}
.badge {
  display: inline-block;
  min-width: 10px;
  padding: 3px 7px;
  font-size: 12px;
  font-weight: bold;
  color: #fff;
  line-height: 1;
  vertical-align: middle;
  white-space: nowrap;
  text-align: center;
  background-color: #777777;
  border-radius: 10px;
}
.badge:empty {
  display: none;
}
.btn .badge {
  position: relative;
  top: -1px;
}
.btn-xs .badge,
.btn-group-xs > .btn .badge {
  top: 0;
  padding: 1px 5px;
}
a.badge:hover,
a.badge:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.list-group-item.active > .badge,
.nav-pills > .active > a > .badge {
  color: #337ab7;
  background-color: #fff;
}
.list-group-item > .badge {
  float: right;
}
.list-group-item > .badge + .badge {
  margin-right: 5px;
}
.nav-pills > li > a > .badge {
  margin-left: 3px;
}
.jumbotron {
  padding-top: 30px;
  padding-bottom: 30px;
  margin-bottom: 30px;
  color: inherit;
  background-color: #eeeeee;
}
.jumbotron h1,
.jumbotron .h1 {
  color: inherit;
}
.jumbotron p {
  margin-bottom: 15px;
  font-size: 20px;
  font-weight: 200;
}
.jumbotron > hr {
  border-top-color: #d5d5d5;
}
.container .jumbotron,
.container-fluid .jumbotron {
  border-radius: 3px;
  padding-left: 0px;
  padding-right: 0px;
}
.jumbotron .container {
  max-width: 100%;
}
@media screen and (min-width: 768px) {
  .jumbotron {
    padding-top: 48px;
    padding-bottom: 48px;
  }
  .container .jumbotron,
  .container-fluid .jumbotron {
    padding-left: 60px;
    padding-right: 60px;
  }
  .jumbotron h1,
  .jumbotron .h1 {
    font-size: 59px;
  }
}
.thumbnail {
  display: block;
  padding: 4px;
  margin-bottom: 18px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: border 0.2s ease-in-out;
  -o-transition: border 0.2s ease-in-out;
  transition: border 0.2s ease-in-out;
}
.thumbnail > img,
.thumbnail a > img {
  margin-left: auto;
  margin-right: auto;
}
a.thumbnail:hover,
a.thumbnail:focus,
a.thumbnail.active {
  border-color: #337ab7;
}
.thumbnail .caption {
  padding: 9px;
  color: #000;
}
.alert {
  padding: 15px;
  margin-bottom: 18px;
  border: 1px solid transparent;
  border-radius: 2px;
}
.alert h4 {
  margin-top: 0;
  color: inherit;
}
.alert .alert-link {
  font-weight: bold;
}
.alert > p,
.alert > ul {
  margin-bottom: 0;
}
.alert > p + p {
  margin-top: 5px;
}
.alert-dismissable,
.alert-dismissible {
  padding-right: 35px;
}
.alert-dismissable .close,
.alert-dismissible .close {
  position: relative;
  top: -2px;
  right: -21px;
  color: inherit;
}
.alert-success {
  background-color: #dff0d8;
  border-color: #d6e9c6;
  color: #3c763d;
}
.alert-success hr {
  border-top-color: #c9e2b3;
}
.alert-success .alert-link {
  color: #2b542c;
}
.alert-info {
  background-color: #d9edf7;
  border-color: #bce8f1;
  color: #31708f;
}
.alert-info hr {
  border-top-color: #a6e1ec;
}
.alert-info .alert-link {
  color: #245269;
}
.alert-warning {
  background-color: #fcf8e3;
  border-color: #faebcc;
  color: #8a6d3b;
}
.alert-warning hr {
  border-top-color: #f7e1b5;
}
.alert-warning .alert-link {
  color: #66512c;
}
.alert-danger {
  background-color: #f2dede;
  border-color: #ebccd1;
  color: #a94442;
}
.alert-danger hr {
  border-top-color: #e4b9c0;
}
.alert-danger .alert-link {
  color: #843534;
}
@-webkit-keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
@keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
.progress {
  overflow: hidden;
  height: 18px;
  margin-bottom: 18px;
  background-color: #f5f5f5;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
  box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
}
.progress-bar {
  float: left;
  width: 0%;
  height: 100%;
  font-size: 12px;
  line-height: 18px;
  color: #fff;
  text-align: center;
  background-color: #337ab7;
  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  -webkit-transition: width 0.6s ease;
  -o-transition: width 0.6s ease;
  transition: width 0.6s ease;
}
.progress-striped .progress-bar,
.progress-bar-striped {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-size: 40px 40px;
}
.progress.active .progress-bar,
.progress-bar.active {
  -webkit-animation: progress-bar-stripes 2s linear infinite;
  -o-animation: progress-bar-stripes 2s linear infinite;
  animation: progress-bar-stripes 2s linear infinite;
}
.progress-bar-success {
  background-color: #5cb85c;
}
.progress-striped .progress-bar-success {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-info {
  background-color: #5bc0de;
}
.progress-striped .progress-bar-info {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-warning {
  background-color: #f0ad4e;
}
.progress-striped .progress-bar-warning {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-danger {
  background-color: #d9534f;
}
.progress-striped .progress-bar-danger {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.media {
  margin-top: 15px;
}
.media:first-child {
  margin-top: 0;
}
.media,
.media-body {
  zoom: 1;
  overflow: hidden;
}
.media-body {
  width: 10000px;
}
.media-object {
  display: block;
}
.media-object.img-thumbnail {
  max-width: none;
}
.media-right,
.media > .pull-right {
  padding-left: 10px;
}
.media-left,
.media > .pull-left {
  padding-right: 10px;
}
.media-left,
.media-right,
.media-body {
  display: table-cell;
  vertical-align: top;
}
.media-middle {
  vertical-align: middle;
}
.media-bottom {
  vertical-align: bottom;
}
.media-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.media-list {
  padding-left: 0;
  list-style: none;
}
.list-group {
  margin-bottom: 20px;
  padding-left: 0;
}
.list-group-item {
  position: relative;
  display: block;
  padding: 10px 15px;
  margin-bottom: -1px;
  background-color: #fff;
  border: 1px solid #ddd;
}
.list-group-item:first-child {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
}
.list-group-item:last-child {
  margin-bottom: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
a.list-group-item,
button.list-group-item {
  color: #555;
}
a.list-group-item .list-group-item-heading,
button.list-group-item .list-group-item-heading {
  color: #333;
}
a.list-group-item:hover,
button.list-group-item:hover,
a.list-group-item:focus,
button.list-group-item:focus {
  text-decoration: none;
  color: #555;
  background-color: #f5f5f5;
}
button.list-group-item {
  width: 100%;
  text-align: left;
}
.list-group-item.disabled,
.list-group-item.disabled:hover,
.list-group-item.disabled:focus {
  background-color: #eeeeee;
  color: #777777;
  cursor: not-allowed;
}
.list-group-item.disabled .list-group-item-heading,
.list-group-item.disabled:hover .list-group-item-heading,
.list-group-item.disabled:focus .list-group-item-heading {
  color: inherit;
}
.list-group-item.disabled .list-group-item-text,
.list-group-item.disabled:hover .list-group-item-text,
.list-group-item.disabled:focus .list-group-item-text {
  color: #777777;
}
.list-group-item.active,
.list-group-item.active:hover,
.list-group-item.active:focus {
  z-index: 2;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.list-group-item.active .list-group-item-heading,
.list-group-item.active:hover .list-group-item-heading,
.list-group-item.active:focus .list-group-item-heading,
.list-group-item.active .list-group-item-heading > small,
.list-group-item.active:hover .list-group-item-heading > small,
.list-group-item.active:focus .list-group-item-heading > small,
.list-group-item.active .list-group-item-heading > .small,
.list-group-item.active:hover .list-group-item-heading > .small,
.list-group-item.active:focus .list-group-item-heading > .small {
  color: inherit;
}
.list-group-item.active .list-group-item-text,
.list-group-item.active:hover .list-group-item-text,
.list-group-item.active:focus .list-group-item-text {
  color: #c7ddef;
}
.list-group-item-success {
  color: #3c763d;
  background-color: #dff0d8;
}
a.list-group-item-success,
button.list-group-item-success {
  color: #3c763d;
}
a.list-group-item-success .list-group-item-heading,
button.list-group-item-success .list-group-item-heading {
  color: inherit;
}
a.list-group-item-success:hover,
button.list-group-item-success:hover,
a.list-group-item-success:focus,
button.list-group-item-success:focus {
  color: #3c763d;
  background-color: #d0e9c6;
}
a.list-group-item-success.active,
button.list-group-item-success.active,
a.list-group-item-success.active:hover,
button.list-group-item-success.active:hover,
a.list-group-item-success.active:focus,
button.list-group-item-success.active:focus {
  color: #fff;
  background-color: #3c763d;
  border-color: #3c763d;
}
.list-group-item-info {
  color: #31708f;
  background-color: #d9edf7;
}
a.list-group-item-info,
button.list-group-item-info {
  color: #31708f;
}
a.list-group-item-info .list-group-item-heading,
button.list-group-item-info .list-group-item-heading {
  color: inherit;
}
a.list-group-item-info:hover,
button.list-group-item-info:hover,
a.list-group-item-info:focus,
button.list-group-item-info:focus {
  color: #31708f;
  background-color: #c4e3f3;
}
a.list-group-item-info.active,
button.list-group-item-info.active,
a.list-group-item-info.active:hover,
button.list-group-item-info.active:hover,
a.list-group-item-info.active:focus,
button.list-group-item-info.active:focus {
  color: #fff;
  background-color: #31708f;
  border-color: #31708f;
}
.list-group-item-warning {
  color: #8a6d3b;
  background-color: #fcf8e3;
}
a.list-group-item-warning,
button.list-group-item-warning {
  color: #8a6d3b;
}
a.list-group-item-warning .list-group-item-heading,
button.list-group-item-warning .list-group-item-heading {
  color: inherit;
}
a.list-group-item-warning:hover,
button.list-group-item-warning:hover,
a.list-group-item-warning:focus,
button.list-group-item-warning:focus {
  color: #8a6d3b;
  background-color: #faf2cc;
}
a.list-group-item-warning.active,
button.list-group-item-warning.active,
a.list-group-item-warning.active:hover,
button.list-group-item-warning.active:hover,
a.list-group-item-warning.active:focus,
button.list-group-item-warning.active:focus {
  color: #fff;
  background-color: #8a6d3b;
  border-color: #8a6d3b;
}
.list-group-item-danger {
  color: #a94442;
  background-color: #f2dede;
}
a.list-group-item-danger,
button.list-group-item-danger {
  color: #a94442;
}
a.list-group-item-danger .list-group-item-heading,
button.list-group-item-danger .list-group-item-heading {
  color: inherit;
}
a.list-group-item-danger:hover,
button.list-group-item-danger:hover,
a.list-group-item-danger:focus,
button.list-group-item-danger:focus {
  color: #a94442;
  background-color: #ebcccc;
}
a.list-group-item-danger.active,
button.list-group-item-danger.active,
a.list-group-item-danger.active:hover,
button.list-group-item-danger.active:hover,
a.list-group-item-danger.active:focus,
button.list-group-item-danger.active:focus {
  color: #fff;
  background-color: #a94442;
  border-color: #a94442;
}
.list-group-item-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.list-group-item-text {
  margin-bottom: 0;
  line-height: 1.3;
}
.panel {
  margin-bottom: 18px;
  background-color: #fff;
  border: 1px solid transparent;
  border-radius: 2px;
  -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
}
.panel-body {
  padding: 15px;
}
.panel-heading {
  padding: 10px 15px;
  border-bottom: 1px solid transparent;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel-heading > .dropdown .dropdown-toggle {
  color: inherit;
}
.panel-title {
  margin-top: 0;
  margin-bottom: 0;
  font-size: 15px;
  color: inherit;
}
.panel-title > a,
.panel-title > small,
.panel-title > .small,
.panel-title > small > a,
.panel-title > .small > a {
  color: inherit;
}
.panel-footer {
  padding: 10px 15px;
  background-color: #f5f5f5;
  border-top: 1px solid #ddd;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .list-group,
.panel > .panel-collapse > .list-group {
  margin-bottom: 0;
}
.panel > .list-group .list-group-item,
.panel > .panel-collapse > .list-group .list-group-item {
  border-width: 1px 0;
  border-radius: 0;
}
.panel > .list-group:first-child .list-group-item:first-child,
.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {
  border-top: 0;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .list-group:last-child .list-group-item:last-child,
.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {
  border-bottom: 0;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.panel-heading + .list-group .list-group-item:first-child {
  border-top-width: 0;
}
.list-group + .panel-footer {
  border-top-width: 0;
}
.panel > .table,
.panel > .table-responsive > .table,
.panel > .panel-collapse > .table {
  margin-bottom: 0;
}
.panel > .table caption,
.panel > .table-responsive > .table caption,
.panel > .panel-collapse > .table caption {
  padding-left: 15px;
  padding-right: 15px;
}
.panel > .table:first-child,
.panel > .table-responsive:first-child > .table:first-child {
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {
  border-top-left-radius: 1px;
  border-top-right-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {
  border-top-right-radius: 1px;
}
.panel > .table:last-child,
.panel > .table-responsive:last-child > .table:last-child {
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {
  border-bottom-left-radius: 1px;
  border-bottom-right-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {
  border-bottom-right-radius: 1px;
}
.panel > .panel-body + .table,
.panel > .panel-body + .table-responsive,
.panel > .table + .panel-body,
.panel > .table-responsive + .panel-body {
  border-top: 1px solid #ddd;
}
.panel > .table > tbody:first-child > tr:first-child th,
.panel > .table > tbody:first-child > tr:first-child td {
  border-top: 0;
}
.panel > .table-bordered,
.panel > .table-responsive > .table-bordered {
  border: 0;
}
.panel > .table-bordered > thead > tr > th:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,
.panel > .table-bordered > tbody > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,
.panel > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-bordered > thead > tr > td:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,
.panel > .table-bordered > tbody > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,
.panel > .table-bordered > tfoot > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {
  border-left: 0;
}
.panel > .table-bordered > thead > tr > th:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,
.panel > .table-bordered > tbody > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,
.panel > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-bordered > thead > tr > td:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,
.panel > .table-bordered > tbody > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,
.panel > .table-bordered > tfoot > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {
  border-right: 0;
}
.panel > .table-bordered > thead > tr:first-child > td,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,
.panel > .table-bordered > tbody > tr:first-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,
.panel > .table-bordered > thead > tr:first-child > th,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,
.panel > .table-bordered > tbody > tr:first-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {
  border-bottom: 0;
}
.panel > .table-bordered > tbody > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,
.panel > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-bordered > tbody > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,
.panel > .table-bordered > tfoot > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {
  border-bottom: 0;
}
.panel > .table-responsive {
  border: 0;
  margin-bottom: 0;
}
.panel-group {
  margin-bottom: 18px;
}
.panel-group .panel {
  margin-bottom: 0;
  border-radius: 2px;
}
.panel-group .panel + .panel {
  margin-top: 5px;
}
.panel-group .panel-heading {
  border-bottom: 0;
}
.panel-group .panel-heading + .panel-collapse > .panel-body,
.panel-group .panel-heading + .panel-collapse > .list-group {
  border-top: 1px solid #ddd;
}
.panel-group .panel-footer {
  border-top: 0;
}
.panel-group .panel-footer + .panel-collapse .panel-body {
  border-bottom: 1px solid #ddd;
}
.panel-default {
  border-color: #ddd;
}
.panel-default > .panel-heading {
  color: #333333;
  background-color: #f5f5f5;
  border-color: #ddd;
}
.panel-default > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ddd;
}
.panel-default > .panel-heading .badge {
  color: #f5f5f5;
  background-color: #333333;
}
.panel-default > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ddd;
}
.panel-primary {
  border-color: #337ab7;
}
.panel-primary > .panel-heading {
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.panel-primary > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #337ab7;
}
.panel-primary > .panel-heading .badge {
  color: #337ab7;
  background-color: #fff;
}
.panel-primary > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #337ab7;
}
.panel-success {
  border-color: #d6e9c6;
}
.panel-success > .panel-heading {
  color: #3c763d;
  background-color: #dff0d8;
  border-color: #d6e9c6;
}
.panel-success > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #d6e9c6;
}
.panel-success > .panel-heading .badge {
  color: #dff0d8;
  background-color: #3c763d;
}
.panel-success > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #d6e9c6;
}
.panel-info {
  border-color: #bce8f1;
}
.panel-info > .panel-heading {
  color: #31708f;
  background-color: #d9edf7;
  border-color: #bce8f1;
}
.panel-info > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #bce8f1;
}
.panel-info > .panel-heading .badge {
  color: #d9edf7;
  background-color: #31708f;
}
.panel-info > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #bce8f1;
}
.panel-warning {
  border-color: #faebcc;
}
.panel-warning > .panel-heading {
  color: #8a6d3b;
  background-color: #fcf8e3;
  border-color: #faebcc;
}
.panel-warning > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #faebcc;
}
.panel-warning > .panel-heading .badge {
  color: #fcf8e3;
  background-color: #8a6d3b;
}
.panel-warning > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #faebcc;
}
.panel-danger {
  border-color: #ebccd1;
}
.panel-danger > .panel-heading {
  color: #a94442;
  background-color: #f2dede;
  border-color: #ebccd1;
}
.panel-danger > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ebccd1;
}
.panel-danger > .panel-heading .badge {
  color: #f2dede;
  background-color: #a94442;
}
.panel-danger > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ebccd1;
}
.embed-responsive {
  position: relative;
  display: block;
  height: 0;
  padding: 0;
  overflow: hidden;
}
.embed-responsive .embed-responsive-item,
.embed-responsive iframe,
.embed-responsive embed,
.embed-responsive object,
.embed-responsive video {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  height: 100%;
  width: 100%;
  border: 0;
}
.embed-responsive-16by9 {
  padding-bottom: 56.25%;
}
.embed-responsive-4by3 {
  padding-bottom: 75%;
}
.well {
  min-height: 20px;
  padding: 19px;
  margin-bottom: 20px;
  background-color: #f5f5f5;
  border: 1px solid #e3e3e3;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
}
.well blockquote {
  border-color: #ddd;
  border-color: rgba(0, 0, 0, 0.15);
}
.well-lg {
  padding: 24px;
  border-radius: 3px;
}
.well-sm {
  padding: 9px;
  border-radius: 1px;
}
.close {
  float: right;
  font-size: 19.5px;
  font-weight: bold;
  line-height: 1;
  color: #000;
  text-shadow: 0 1px 0 #fff;
  opacity: 0.2;
  filter: alpha(opacity=20);
}
.close:hover,
.close:focus {
  color: #000;
  text-decoration: none;
  cursor: pointer;
  opacity: 0.5;
  filter: alpha(opacity=50);
}
button.close {
  padding: 0;
  cursor: pointer;
  background: transparent;
  border: 0;
  -webkit-appearance: none;
}
.modal-open {
  overflow: hidden;
}
.modal {
  display: none;
  overflow: hidden;
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1050;
  -webkit-overflow-scrolling: touch;
  outline: 0;
}
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, -25%);
  -ms-transform: translate(0, -25%);
  -o-transform: translate(0, -25%);
  transform: translate(0, -25%);
  -webkit-transition: -webkit-transform 0.3s ease-out;
  -moz-transition: -moz-transform 0.3s ease-out;
  -o-transition: -o-transform 0.3s ease-out;
  transition: transform 0.3s ease-out;
}
.modal.in .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
.modal-open .modal {
  overflow-x: hidden;
  overflow-y: auto;
}
.modal-dialog {
  position: relative;
  width: auto;
  margin: 10px;
}
.modal-content {
  position: relative;
  background-color: #fff;
  border: 1px solid #999;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  background-clip: padding-box;
  outline: 0;
}
.modal-backdrop {
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1040;
  background-color: #000;
}
.modal-backdrop.fade {
  opacity: 0;
  filter: alpha(opacity=0);
}
.modal-backdrop.in {
  opacity: 0.5;
  filter: alpha(opacity=50);
}
.modal-header {
  padding: 15px;
  border-bottom: 1px solid #e5e5e5;
}
.modal-header .close {
  margin-top: -2px;
}
.modal-title {
  margin: 0;
  line-height: 1.42857143;
}
.modal-body {
  position: relative;
  padding: 15px;
}
.modal-footer {
  padding: 15px;
  text-align: right;
  border-top: 1px solid #e5e5e5;
}
.modal-footer .btn + .btn {
  margin-left: 5px;
  margin-bottom: 0;
}
.modal-footer .btn-group .btn + .btn {
  margin-left: -1px;
}
.modal-footer .btn-block + .btn-block {
  margin-left: 0;
}
.modal-scrollbar-measure {
  position: absolute;
  top: -9999px;
  width: 50px;
  height: 50px;
  overflow: scroll;
}
@media (min-width: 768px) {
  .modal-dialog {
    width: 600px;
    margin: 30px auto;
  }
  .modal-content {
    -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
  }
  .modal-sm {
    width: 300px;
  }
}
@media (min-width: 992px) {
  .modal-lg {
    width: 900px;
  }
}
.tooltip {
  position: absolute;
  z-index: 1070;
  display: block;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 12px;
  opacity: 0;
  filter: alpha(opacity=0);
}
.tooltip.in {
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.tooltip.top {
  margin-top: -3px;
  padding: 5px 0;
}
.tooltip.right {
  margin-left: 3px;
  padding: 0 5px;
}
.tooltip.bottom {
  margin-top: 3px;
  padding: 5px 0;
}
.tooltip.left {
  margin-left: -3px;
  padding: 0 5px;
}
.tooltip-inner {
  max-width: 200px;
  padding: 3px 8px;
  color: #fff;
  text-align: center;
  background-color: #000;
  border-radius: 2px;
}
.tooltip-arrow {
  position: absolute;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.tooltip.top .tooltip-arrow {
  bottom: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-left .tooltip-arrow {
  bottom: 0;
  right: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-right .tooltip-arrow {
  bottom: 0;
  left: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.right .tooltip-arrow {
  top: 50%;
  left: 0;
  margin-top: -5px;
  border-width: 5px 5px 5px 0;
  border-right-color: #000;
}
.tooltip.left .tooltip-arrow {
  top: 50%;
  right: 0;
  margin-top: -5px;
  border-width: 5px 0 5px 5px;
  border-left-color: #000;
}
.tooltip.bottom .tooltip-arrow {
  top: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-left .tooltip-arrow {
  top: 0;
  right: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-right .tooltip-arrow {
  top: 0;
  left: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.popover {
  position: absolute;
  top: 0;
  left: 0;
  z-index: 1060;
  display: none;
  max-width: 276px;
  padding: 1px;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 13px;
  background-color: #fff;
  background-clip: padding-box;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
  box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
}
.popover.top {
  margin-top: -10px;
}
.popover.right {
  margin-left: 10px;
}
.popover.bottom {
  margin-top: 10px;
}
.popover.left {
  margin-left: -10px;
}
.popover-title {
  margin: 0;
  padding: 8px 14px;
  font-size: 13px;
  background-color: #f7f7f7;
  border-bottom: 1px solid #ebebeb;
  border-radius: 2px 2px 0 0;
}
.popover-content {
  padding: 9px 14px;
}
.popover > .arrow,
.popover > .arrow:after {
  position: absolute;
  display: block;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.popover > .arrow {
  border-width: 11px;
}
.popover > .arrow:after {
  border-width: 10px;
  content: "";
}
.popover.top > .arrow {
  left: 50%;
  margin-left: -11px;
  border-bottom-width: 0;
  border-top-color: #999999;
  border-top-color: rgba(0, 0, 0, 0.25);
  bottom: -11px;
}
.popover.top > .arrow:after {
  content: " ";
  bottom: 1px;
  margin-left: -10px;
  border-bottom-width: 0;
  border-top-color: #fff;
}
.popover.right > .arrow {
  top: 50%;
  left: -11px;
  margin-top: -11px;
  border-left-width: 0;
  border-right-color: #999999;
  border-right-color: rgba(0, 0, 0, 0.25);
}
.popover.right > .arrow:after {
  content: " ";
  left: 1px;
  bottom: -10px;
  border-left-width: 0;
  border-right-color: #fff;
}
.popover.bottom > .arrow {
  left: 50%;
  margin-left: -11px;
  border-top-width: 0;
  border-bottom-color: #999999;
  border-bottom-color: rgba(0, 0, 0, 0.25);
  top: -11px;
}
.popover.bottom > .arrow:after {
  content: " ";
  top: 1px;
  margin-left: -10px;
  border-top-width: 0;
  border-bottom-color: #fff;
}
.popover.left > .arrow {
  top: 50%;
  right: -11px;
  margin-top: -11px;
  border-right-width: 0;
  border-left-color: #999999;
  border-left-color: rgba(0, 0, 0, 0.25);
}
.popover.left > .arrow:after {
  content: " ";
  right: 1px;
  border-right-width: 0;
  border-left-color: #fff;
  bottom: -10px;
}
.carousel {
  position: relative;
}
.carousel-inner {
  position: relative;
  overflow: hidden;
  width: 100%;
}
.carousel-inner > .item {
  display: none;
  position: relative;
  -webkit-transition: 0.6s ease-in-out left;
  -o-transition: 0.6s ease-in-out left;
  transition: 0.6s ease-in-out left;
}
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  line-height: 1;
}
@media all and (transform-3d), (-webkit-transform-3d) {
  .carousel-inner > .item {
    -webkit-transition: -webkit-transform 0.6s ease-in-out;
    -moz-transition: -moz-transform 0.6s ease-in-out;
    -o-transition: -o-transform 0.6s ease-in-out;
    transition: transform 0.6s ease-in-out;
    -webkit-backface-visibility: hidden;
    -moz-backface-visibility: hidden;
    backface-visibility: hidden;
    -webkit-perspective: 1000px;
    -moz-perspective: 1000px;
    perspective: 1000px;
  }
  .carousel-inner > .item.next,
  .carousel-inner > .item.active.right {
    -webkit-transform: translate3d(100%, 0, 0);
    transform: translate3d(100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.prev,
  .carousel-inner > .item.active.left {
    -webkit-transform: translate3d(-100%, 0, 0);
    transform: translate3d(-100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.next.left,
  .carousel-inner > .item.prev.right,
  .carousel-inner > .item.active {
    -webkit-transform: translate3d(0, 0, 0);
    transform: translate3d(0, 0, 0);
    left: 0;
  }
}
.carousel-inner > .active,
.carousel-inner > .next,
.carousel-inner > .prev {
  display: block;
}
.carousel-inner > .active {
  left: 0;
}
.carousel-inner > .next,
.carousel-inner > .prev {
  position: absolute;
  top: 0;
  width: 100%;
}
.carousel-inner > .next {
  left: 100%;
}
.carousel-inner > .prev {
  left: -100%;
}
.carousel-inner > .next.left,
.carousel-inner > .prev.right {
  left: 0;
}
.carousel-inner > .active.left {
  left: -100%;
}
.carousel-inner > .active.right {
  left: 100%;
}
.carousel-control {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  width: 15%;
  opacity: 0.5;
  filter: alpha(opacity=50);
  font-size: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
  background-color: rgba(0, 0, 0, 0);
}
.carousel-control.left {
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);
}
.carousel-control.right {
  left: auto;
  right: 0;
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);
}
.carousel-control:hover,
.carousel-control:focus {
  outline: 0;
  color: #fff;
  text-decoration: none;
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.carousel-control .icon-prev,
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-left,
.carousel-control .glyphicon-chevron-right {
  position: absolute;
  top: 50%;
  margin-top: -10px;
  z-index: 5;
  display: inline-block;
}
.carousel-control .icon-prev,
.carousel-control .glyphicon-chevron-left {
  left: 50%;
  margin-left: -10px;
}
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-right {
  right: 50%;
  margin-right: -10px;
}
.carousel-control .icon-prev,
.carousel-control .icon-next {
  width: 20px;
  height: 20px;
  line-height: 1;
  font-family: serif;
}
.carousel-control .icon-prev:before {
  content: '\2039';
}
.carousel-control .icon-next:before {
  content: '\203a';
}
.carousel-indicators {
  position: absolute;
  bottom: 10px;
  left: 50%;
  z-index: 15;
  width: 60%;
  margin-left: -30%;
  padding-left: 0;
  list-style: none;
  text-align: center;
}
.carousel-indicators li {
  display: inline-block;
  width: 10px;
  height: 10px;
  margin: 1px;
  text-indent: -999px;
  border: 1px solid #fff;
  border-radius: 10px;
  cursor: pointer;
  background-color: #000 \9;
  background-color: rgba(0, 0, 0, 0);
}
.carousel-indicators .active {
  margin: 0;
  width: 12px;
  height: 12px;
  background-color: #fff;
}
.carousel-caption {
  position: absolute;
  left: 15%;
  right: 15%;
  bottom: 20px;
  z-index: 10;
  padding-top: 20px;
  padding-bottom: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
}
.carousel-caption .btn {
  text-shadow: none;
}
@media screen and (min-width: 768px) {
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-prev,
  .carousel-control .icon-next {
    width: 30px;
    height: 30px;
    margin-top: -10px;
    font-size: 30px;
  }
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .icon-prev {
    margin-left: -10px;
  }
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-next {
    margin-right: -10px;
  }
  .carousel-caption {
    left: 20%;
    right: 20%;
    padding-bottom: 30px;
  }
  .carousel-indicators {
    bottom: 20px;
  }
}
.clearfix:before,
.clearfix:after,
.dl-horizontal dd:before,
.dl-horizontal dd:after,
.container:before,
.container:after,
.container-fluid:before,
.container-fluid:after,
.row:before,
.row:after,
.form-horizontal .form-group:before,
.form-horizontal .form-group:after,
.btn-toolbar:before,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:before,
.btn-group-vertical > .btn-group:after,
.nav:before,
.nav:after,
.navbar:before,
.navbar:after,
.navbar-header:before,
.navbar-header:after,
.navbar-collapse:before,
.navbar-collapse:after,
.pager:before,
.pager:after,
.panel-body:before,
.panel-body:after,
.modal-header:before,
.modal-header:after,
.modal-footer:before,
.modal-footer:after,
.item_buttons:before,
.item_buttons:after {
  content: " ";
  display: table;
}
.clearfix:after,
.dl-horizontal dd:after,
.container:after,
.container-fluid:after,
.row:after,
.form-horizontal .form-group:after,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:after,
.nav:after,
.navbar:after,
.navbar-header:after,
.navbar-collapse:after,
.pager:after,
.panel-body:after,
.modal-header:after,
.modal-footer:after,
.item_buttons:after {
  clear: both;
}
.center-block {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.pull-right {
  float: right !important;
}
.pull-left {
  float: left !important;
}
.hide {
  display: none !important;
}
.show {
  display: block !important;
}
.invisible {
  visibility: hidden;
}
.text-hide {
  font: 0/0 a;
  color: transparent;
  text-shadow: none;
  background-color: transparent;
  border: 0;
}
.hidden {
  display: none !important;
}
.affix {
  position: fixed;
}
@-ms-viewport {
  width: device-width;
}
.visible-xs,
.visible-sm,
.visible-md,
.visible-lg {
  display: none !important;
}
.visible-xs-block,
.visible-xs-inline,
.visible-xs-inline-block,
.visible-sm-block,
.visible-sm-inline,
.visible-sm-inline-block,
.visible-md-block,
.visible-md-inline,
.visible-md-inline-block,
.visible-lg-block,
.visible-lg-inline,
.visible-lg-inline-block {
  display: none !important;
}
@media (max-width: 767px) {
  .visible-xs {
    display: block !important;
  }
  table.visible-xs {
    display: table !important;
  }
  tr.visible-xs {
    display: table-row !important;
  }
  th.visible-xs,
  td.visible-xs {
    display: table-cell !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-block {
    display: block !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline {
    display: inline !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm {
    display: block !important;
  }
  table.visible-sm {
    display: table !important;
  }
  tr.visible-sm {
    display: table-row !important;
  }
  th.visible-sm,
  td.visible-sm {
    display: table-cell !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-block {
    display: block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline {
    display: inline !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md {
    display: block !important;
  }
  table.visible-md {
    display: table !important;
  }
  tr.visible-md {
    display: table-row !important;
  }
  th.visible-md,
  td.visible-md {
    display: table-cell !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-block {
    display: block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline {
    display: inline !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg {
    display: block !important;
  }
  table.visible-lg {
    display: table !important;
  }
  tr.visible-lg {
    display: table-row !important;
  }
  th.visible-lg,
  td.visible-lg {
    display: table-cell !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-block {
    display: block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline {
    display: inline !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline-block {
    display: inline-block !important;
  }
}
@media (max-width: 767px) {
  .hidden-xs {
    display: none !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .hidden-sm {
    display: none !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .hidden-md {
    display: none !important;
  }
}
@media (min-width: 1200px) {
  .hidden-lg {
    display: none !important;
  }
}
.visible-print {
  display: none !important;
}
@media print {
  .visible-print {
    display: block !important;
  }
  table.visible-print {
    display: table !important;
  }
  tr.visible-print {
    display: table-row !important;
  }
  th.visible-print,
  td.visible-print {
    display: table-cell !important;
  }
}
.visible-print-block {
  display: none !important;
}
@media print {
  .visible-print-block {
    display: block !important;
  }
}
.visible-print-inline {
  display: none !important;
}
@media print {
  .visible-print-inline {
    display: inline !important;
  }
}
.visible-print-inline-block {
  display: none !important;
}
@media print {
  .visible-print-inline-block {
    display: inline-block !important;
  }
}
@media print {
  .hidden-print {
    display: none !important;
  }
}
/*!
*
* Font Awesome
*
*/
/*!
 *  Font Awesome 4.7.0 by @davegandy - http://fontawesome.io - @fontawesome
 *  License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)
 */
/* FONT PATH
 * -------------------------- */
@font-face {
  font-family: 'FontAwesome';
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?v=4.7.0');
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.7.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0') format('woff2'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.7.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.7.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.7.0#fontawesomeregular') format('svg');
  font-weight: normal;
  font-style: normal;
}
.fa {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
}
/* makes the font 33% larger relative to the icon container */
.fa-lg {
  font-size: 1.33333333em;
  line-height: 0.75em;
  vertical-align: -15%;
}
.fa-2x {
  font-size: 2em;
}
.fa-3x {
  font-size: 3em;
}
.fa-4x {
  font-size: 4em;
}
.fa-5x {
  font-size: 5em;
}
.fa-fw {
  width: 1.28571429em;
  text-align: center;
}
.fa-ul {
  padding-left: 0;
  margin-left: 2.14285714em;
  list-style-type: none;
}
.fa-ul > li {
  position: relative;
}
.fa-li {
  position: absolute;
  left: -2.14285714em;
  width: 2.14285714em;
  top: 0.14285714em;
  text-align: center;
}
.fa-li.fa-lg {
  left: -1.85714286em;
}
.fa-border {
  padding: .2em .25em .15em;
  border: solid 0.08em #eee;
  border-radius: .1em;
}
.fa-pull-left {
  float: left;
}
.fa-pull-right {
  float: right;
}
.fa.fa-pull-left {
  margin-right: .3em;
}
.fa.fa-pull-right {
  margin-left: .3em;
}
/* Deprecated as of 4.4.0 */
.pull-right {
  float: right;
}
.pull-left {
  float: left;
}
.fa.pull-left {
  margin-right: .3em;
}
.fa.pull-right {
  margin-left: .3em;
}
.fa-spin {
  -webkit-animation: fa-spin 2s infinite linear;
  animation: fa-spin 2s infinite linear;
}
.fa-pulse {
  -webkit-animation: fa-spin 1s infinite steps(8);
  animation: fa-spin 1s infinite steps(8);
}
@-webkit-keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
@keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
.fa-rotate-90 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=1)";
  -webkit-transform: rotate(90deg);
  -ms-transform: rotate(90deg);
  transform: rotate(90deg);
}
.fa-rotate-180 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2)";
  -webkit-transform: rotate(180deg);
  -ms-transform: rotate(180deg);
  transform: rotate(180deg);
}
.fa-rotate-270 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=3)";
  -webkit-transform: rotate(270deg);
  -ms-transform: rotate(270deg);
  transform: rotate(270deg);
}
.fa-flip-horizontal {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1)";
  -webkit-transform: scale(-1, 1);
  -ms-transform: scale(-1, 1);
  transform: scale(-1, 1);
}
.fa-flip-vertical {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1)";
  -webkit-transform: scale(1, -1);
  -ms-transform: scale(1, -1);
  transform: scale(1, -1);
}
:root .fa-rotate-90,
:root .fa-rotate-180,
:root .fa-rotate-270,
:root .fa-flip-horizontal,
:root .fa-flip-vertical {
  filter: none;
}
.fa-stack {
  position: relative;
  display: inline-block;
  width: 2em;
  height: 2em;
  line-height: 2em;
  vertical-align: middle;
}
.fa-stack-1x,
.fa-stack-2x {
  position: absolute;
  left: 0;
  width: 100%;
  text-align: center;
}
.fa-stack-1x {
  line-height: inherit;
}
.fa-stack-2x {
  font-size: 2em;
}
.fa-inverse {
  color: #fff;
}
/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
   readers do not read off random characters that represent icons */
.fa-glass:before {
  content: "\f000";
}
.fa-music:before {
  content: "\f001";
}
.fa-search:before {
  content: "\f002";
}
.fa-envelope-o:before {
  content: "\f003";
}
.fa-heart:before {
  content: "\f004";
}
.fa-star:before {
  content: "\f005";
}
.fa-star-o:before {
  content: "\f006";
}
.fa-user:before {
  content: "\f007";
}
.fa-film:before {
  content: "\f008";
}
.fa-th-large:before {
  content: "\f009";
}
.fa-th:before {
  content: "\f00a";
}
.fa-th-list:before {
  content: "\f00b";
}
.fa-check:before {
  content: "\f00c";
}
.fa-remove:before,
.fa-close:before,
.fa-times:before {
  content: "\f00d";
}
.fa-search-plus:before {
  content: "\f00e";
}
.fa-search-minus:before {
  content: "\f010";
}
.fa-power-off:before {
  content: "\f011";
}
.fa-signal:before {
  content: "\f012";
}
.fa-gear:before,
.fa-cog:before {
  content: "\f013";
}
.fa-trash-o:before {
  content: "\f014";
}
.fa-home:before {
  content: "\f015";
}
.fa-file-o:before {
  content: "\f016";
}
.fa-clock-o:before {
  content: "\f017";
}
.fa-road:before {
  content: "\f018";
}
.fa-download:before {
  content: "\f019";
}
.fa-arrow-circle-o-down:before {
  content: "\f01a";
}
.fa-arrow-circle-o-up:before {
  content: "\f01b";
}
.fa-inbox:before {
  content: "\f01c";
}
.fa-play-circle-o:before {
  content: "\f01d";
}
.fa-rotate-right:before,
.fa-repeat:before {
  content: "\f01e";
}
.fa-refresh:before {
  content: "\f021";
}
.fa-list-alt:before {
  content: "\f022";
}
.fa-lock:before {
  content: "\f023";
}
.fa-flag:before {
  content: "\f024";
}
.fa-headphones:before {
  content: "\f025";
}
.fa-volume-off:before {
  content: "\f026";
}
.fa-volume-down:before {
  content: "\f027";
}
.fa-volume-up:before {
  content: "\f028";
}
.fa-qrcode:before {
  content: "\f029";
}
.fa-barcode:before {
  content: "\f02a";
}
.fa-tag:before {
  content: "\f02b";
}
.fa-tags:before {
  content: "\f02c";
}
.fa-book:before {
  content: "\f02d";
}
.fa-bookmark:before {
  content: "\f02e";
}
.fa-print:before {
  content: "\f02f";
}
.fa-camera:before {
  content: "\f030";
}
.fa-font:before {
  content: "\f031";
}
.fa-bold:before {
  content: "\f032";
}
.fa-italic:before {
  content: "\f033";
}
.fa-text-height:before {
  content: "\f034";
}
.fa-text-width:before {
  content: "\f035";
}
.fa-align-left:before {
  content: "\f036";
}
.fa-align-center:before {
  content: "\f037";
}
.fa-align-right:before {
  content: "\f038";
}
.fa-align-justify:before {
  content: "\f039";
}
.fa-list:before {
  content: "\f03a";
}
.fa-dedent:before,
.fa-outdent:before {
  content: "\f03b";
}
.fa-indent:before {
  content: "\f03c";
}
.fa-video-camera:before {
  content: "\f03d";
}
.fa-photo:before,
.fa-image:before,
.fa-picture-o:before {
  content: "\f03e";
}
.fa-pencil:before {
  content: "\f040";
}
.fa-map-marker:before {
  content: "\f041";
}
.fa-adjust:before {
  content: "\f042";
}
.fa-tint:before {
  content: "\f043";
}
.fa-edit:before,
.fa-pencil-square-o:before {
  content: "\f044";
}
.fa-share-square-o:before {
  content: "\f045";
}
.fa-check-square-o:before {
  content: "\f046";
}
.fa-arrows:before {
  content: "\f047";
}
.fa-step-backward:before {
  content: "\f048";
}
.fa-fast-backward:before {
  content: "\f049";
}
.fa-backward:before {
  content: "\f04a";
}
.fa-play:before {
  content: "\f04b";
}
.fa-pause:before {
  content: "\f04c";
}
.fa-stop:before {
  content: "\f04d";
}
.fa-forward:before {
  content: "\f04e";
}
.fa-fast-forward:before {
  content: "\f050";
}
.fa-step-forward:before {
  content: "\f051";
}
.fa-eject:before {
  content: "\f052";
}
.fa-chevron-left:before {
  content: "\f053";
}
.fa-chevron-right:before {
  content: "\f054";
}
.fa-plus-circle:before {
  content: "\f055";
}
.fa-minus-circle:before {
  content: "\f056";
}
.fa-times-circle:before {
  content: "\f057";
}
.fa-check-circle:before {
  content: "\f058";
}
.fa-question-circle:before {
  content: "\f059";
}
.fa-info-circle:before {
  content: "\f05a";
}
.fa-crosshairs:before {
  content: "\f05b";
}
.fa-times-circle-o:before {
  content: "\f05c";
}
.fa-check-circle-o:before {
  content: "\f05d";
}
.fa-ban:before {
  content: "\f05e";
}
.fa-arrow-left:before {
  content: "\f060";
}
.fa-arrow-right:before {
  content: "\f061";
}
.fa-arrow-up:before {
  content: "\f062";
}
.fa-arrow-down:before {
  content: "\f063";
}
.fa-mail-forward:before,
.fa-share:before {
  content: "\f064";
}
.fa-expand:before {
  content: "\f065";
}
.fa-compress:before {
  content: "\f066";
}
.fa-plus:before {
  content: "\f067";
}
.fa-minus:before {
  content: "\f068";
}
.fa-asterisk:before {
  content: "\f069";
}
.fa-exclamation-circle:before {
  content: "\f06a";
}
.fa-gift:before {
  content: "\f06b";
}
.fa-leaf:before {
  content: "\f06c";
}
.fa-fire:before {
  content: "\f06d";
}
.fa-eye:before {
  content: "\f06e";
}
.fa-eye-slash:before {
  content: "\f070";
}
.fa-warning:before,
.fa-exclamation-triangle:before {
  content: "\f071";
}
.fa-plane:before {
  content: "\f072";
}
.fa-calendar:before {
  content: "\f073";
}
.fa-random:before {
  content: "\f074";
}
.fa-comment:before {
  content: "\f075";
}
.fa-magnet:before {
  content: "\f076";
}
.fa-chevron-up:before {
  content: "\f077";
}
.fa-chevron-down:before {
  content: "\f078";
}
.fa-retweet:before {
  content: "\f079";
}
.fa-shopping-cart:before {
  content: "\f07a";
}
.fa-folder:before {
  content: "\f07b";
}
.fa-folder-open:before {
  content: "\f07c";
}
.fa-arrows-v:before {
  content: "\f07d";
}
.fa-arrows-h:before {
  content: "\f07e";
}
.fa-bar-chart-o:before,
.fa-bar-chart:before {
  content: "\f080";
}
.fa-twitter-square:before {
  content: "\f081";
}
.fa-facebook-square:before {
  content: "\f082";
}
.fa-camera-retro:before {
  content: "\f083";
}
.fa-key:before {
  content: "\f084";
}
.fa-gears:before,
.fa-cogs:before {
  content: "\f085";
}
.fa-comments:before {
  content: "\f086";
}
.fa-thumbs-o-up:before {
  content: "\f087";
}
.fa-thumbs-o-down:before {
  content: "\f088";
}
.fa-star-half:before {
  content: "\f089";
}
.fa-heart-o:before {
  content: "\f08a";
}
.fa-sign-out:before {
  content: "\f08b";
}
.fa-linkedin-square:before {
  content: "\f08c";
}
.fa-thumb-tack:before {
  content: "\f08d";
}
.fa-external-link:before {
  content: "\f08e";
}
.fa-sign-in:before {
  content: "\f090";
}
.fa-trophy:before {
  content: "\f091";
}
.fa-github-square:before {
  content: "\f092";
}
.fa-upload:before {
  content: "\f093";
}
.fa-lemon-o:before {
  content: "\f094";
}
.fa-phone:before {
  content: "\f095";
}
.fa-square-o:before {
  content: "\f096";
}
.fa-bookmark-o:before {
  content: "\f097";
}
.fa-phone-square:before {
  content: "\f098";
}
.fa-twitter:before {
  content: "\f099";
}
.fa-facebook-f:before,
.fa-facebook:before {
  content: "\f09a";
}
.fa-github:before {
  content: "\f09b";
}
.fa-unlock:before {
  content: "\f09c";
}
.fa-credit-card:before {
  content: "\f09d";
}
.fa-feed:before,
.fa-rss:before {
  content: "\f09e";
}
.fa-hdd-o:before {
  content: "\f0a0";
}
.fa-bullhorn:before {
  content: "\f0a1";
}
.fa-bell:before {
  content: "\f0f3";
}
.fa-certificate:before {
  content: "\f0a3";
}
.fa-hand-o-right:before {
  content: "\f0a4";
}
.fa-hand-o-left:before {
  content: "\f0a5";
}
.fa-hand-o-up:before {
  content: "\f0a6";
}
.fa-hand-o-down:before {
  content: "\f0a7";
}
.fa-arrow-circle-left:before {
  content: "\f0a8";
}
.fa-arrow-circle-right:before {
  content: "\f0a9";
}
.fa-arrow-circle-up:before {
  content: "\f0aa";
}
.fa-arrow-circle-down:before {
  content: "\f0ab";
}
.fa-globe:before {
  content: "\f0ac";
}
.fa-wrench:before {
  content: "\f0ad";
}
.fa-tasks:before {
  content: "\f0ae";
}
.fa-filter:before {
  content: "\f0b0";
}
.fa-briefcase:before {
  content: "\f0b1";
}
.fa-arrows-alt:before {
  content: "\f0b2";
}
.fa-group:before,
.fa-users:before {
  content: "\f0c0";
}
.fa-chain:before,
.fa-link:before {
  content: "\f0c1";
}
.fa-cloud:before {
  content: "\f0c2";
}
.fa-flask:before {
  content: "\f0c3";
}
.fa-cut:before,
.fa-scissors:before {
  content: "\f0c4";
}
.fa-copy:before,
.fa-files-o:before {
  content: "\f0c5";
}
.fa-paperclip:before {
  content: "\f0c6";
}
.fa-save:before,
.fa-floppy-o:before {
  content: "\f0c7";
}
.fa-square:before {
  content: "\f0c8";
}
.fa-navicon:before,
.fa-reorder:before,
.fa-bars:before {
  content: "\f0c9";
}
.fa-list-ul:before {
  content: "\f0ca";
}
.fa-list-ol:before {
  content: "\f0cb";
}
.fa-strikethrough:before {
  content: "\f0cc";
}
.fa-underline:before {
  content: "\f0cd";
}
.fa-table:before {
  content: "\f0ce";
}
.fa-magic:before {
  content: "\f0d0";
}
.fa-truck:before {
  content: "\f0d1";
}
.fa-pinterest:before {
  content: "\f0d2";
}
.fa-pinterest-square:before {
  content: "\f0d3";
}
.fa-google-plus-square:before {
  content: "\f0d4";
}
.fa-google-plus:before {
  content: "\f0d5";
}
.fa-money:before {
  content: "\f0d6";
}
.fa-caret-down:before {
  content: "\f0d7";
}
.fa-caret-up:before {
  content: "\f0d8";
}
.fa-caret-left:before {
  content: "\f0d9";
}
.fa-caret-right:before {
  content: "\f0da";
}
.fa-columns:before {
  content: "\f0db";
}
.fa-unsorted:before,
.fa-sort:before {
  content: "\f0dc";
}
.fa-sort-down:before,
.fa-sort-desc:before {
  content: "\f0dd";
}
.fa-sort-up:before,
.fa-sort-asc:before {
  content: "\f0de";
}
.fa-envelope:before {
  content: "\f0e0";
}
.fa-linkedin:before {
  content: "\f0e1";
}
.fa-rotate-left:before,
.fa-undo:before {
  content: "\f0e2";
}
.fa-legal:before,
.fa-gavel:before {
  content: "\f0e3";
}
.fa-dashboard:before,
.fa-tachometer:before {
  content: "\f0e4";
}
.fa-comment-o:before {
  content: "\f0e5";
}
.fa-comments-o:before {
  content: "\f0e6";
}
.fa-flash:before,
.fa-bolt:before {
  content: "\f0e7";
}
.fa-sitemap:before {
  content: "\f0e8";
}
.fa-umbrella:before {
  content: "\f0e9";
}
.fa-paste:before,
.fa-clipboard:before {
  content: "\f0ea";
}
.fa-lightbulb-o:before {
  content: "\f0eb";
}
.fa-exchange:before {
  content: "\f0ec";
}
.fa-cloud-download:before {
  content: "\f0ed";
}
.fa-cloud-upload:before {
  content: "\f0ee";
}
.fa-user-md:before {
  content: "\f0f0";
}
.fa-stethoscope:before {
  content: "\f0f1";
}
.fa-suitcase:before {
  content: "\f0f2";
}
.fa-bell-o:before {
  content: "\f0a2";
}
.fa-coffee:before {
  content: "\f0f4";
}
.fa-cutlery:before {
  content: "\f0f5";
}
.fa-file-text-o:before {
  content: "\f0f6";
}
.fa-building-o:before {
  content: "\f0f7";
}
.fa-hospital-o:before {
  content: "\f0f8";
}
.fa-ambulance:before {
  content: "\f0f9";
}
.fa-medkit:before {
  content: "\f0fa";
}
.fa-fighter-jet:before {
  content: "\f0fb";
}
.fa-beer:before {
  content: "\f0fc";
}
.fa-h-square:before {
  content: "\f0fd";
}
.fa-plus-square:before {
  content: "\f0fe";
}
.fa-angle-double-left:before {
  content: "\f100";
}
.fa-angle-double-right:before {
  content: "\f101";
}
.fa-angle-double-up:before {
  content: "\f102";
}
.fa-angle-double-down:before {
  content: "\f103";
}
.fa-angle-left:before {
  content: "\f104";
}
.fa-angle-right:before {
  content: "\f105";
}
.fa-angle-up:before {
  content: "\f106";
}
.fa-angle-down:before {
  content: "\f107";
}
.fa-desktop:before {
  content: "\f108";
}
.fa-laptop:before {
  content: "\f109";
}
.fa-tablet:before {
  content: "\f10a";
}
.fa-mobile-phone:before,
.fa-mobile:before {
  content: "\f10b";
}
.fa-circle-o:before {
  content: "\f10c";
}
.fa-quote-left:before {
  content: "\f10d";
}
.fa-quote-right:before {
  content: "\f10e";
}
.fa-spinner:before {
  content: "\f110";
}
.fa-circle:before {
  content: "\f111";
}
.fa-mail-reply:before,
.fa-reply:before {
  content: "\f112";
}
.fa-github-alt:before {
  content: "\f113";
}
.fa-folder-o:before {
  content: "\f114";
}
.fa-folder-open-o:before {
  content: "\f115";
}
.fa-smile-o:before {
  content: "\f118";
}
.fa-frown-o:before {
  content: "\f119";
}
.fa-meh-o:before {
  content: "\f11a";
}
.fa-gamepad:before {
  content: "\f11b";
}
.fa-keyboard-o:before {
  content: "\f11c";
}
.fa-flag-o:before {
  content: "\f11d";
}
.fa-flag-checkered:before {
  content: "\f11e";
}
.fa-terminal:before {
  content: "\f120";
}
.fa-code:before {
  content: "\f121";
}
.fa-mail-reply-all:before,
.fa-reply-all:before {
  content: "\f122";
}
.fa-star-half-empty:before,
.fa-star-half-full:before,
.fa-star-half-o:before {
  content: "\f123";
}
.fa-location-arrow:before {
  content: "\f124";
}
.fa-crop:before {
  content: "\f125";
}
.fa-code-fork:before {
  content: "\f126";
}
.fa-unlink:before,
.fa-chain-broken:before {
  content: "\f127";
}
.fa-question:before {
  content: "\f128";
}
.fa-info:before {
  content: "\f129";
}
.fa-exclamation:before {
  content: "\f12a";
}
.fa-superscript:before {
  content: "\f12b";
}
.fa-subscript:before {
  content: "\f12c";
}
.fa-eraser:before {
  content: "\f12d";
}
.fa-puzzle-piece:before {
  content: "\f12e";
}
.fa-microphone:before {
  content: "\f130";
}
.fa-microphone-slash:before {
  content: "\f131";
}
.fa-shield:before {
  content: "\f132";
}
.fa-calendar-o:before {
  content: "\f133";
}
.fa-fire-extinguisher:before {
  content: "\f134";
}
.fa-rocket:before {
  content: "\f135";
}
.fa-maxcdn:before {
  content: "\f136";
}
.fa-chevron-circle-left:before {
  content: "\f137";
}
.fa-chevron-circle-right:before {
  content: "\f138";
}
.fa-chevron-circle-up:before {
  content: "\f139";
}
.fa-chevron-circle-down:before {
  content: "\f13a";
}
.fa-html5:before {
  content: "\f13b";
}
.fa-css3:before {
  content: "\f13c";
}
.fa-anchor:before {
  content: "\f13d";
}
.fa-unlock-alt:before {
  content: "\f13e";
}
.fa-bullseye:before {
  content: "\f140";
}
.fa-ellipsis-h:before {
  content: "\f141";
}
.fa-ellipsis-v:before {
  content: "\f142";
}
.fa-rss-square:before {
  content: "\f143";
}
.fa-play-circle:before {
  content: "\f144";
}
.fa-ticket:before {
  content: "\f145";
}
.fa-minus-square:before {
  content: "\f146";
}
.fa-minus-square-o:before {
  content: "\f147";
}
.fa-level-up:before {
  content: "\f148";
}
.fa-level-down:before {
  content: "\f149";
}
.fa-check-square:before {
  content: "\f14a";
}
.fa-pencil-square:before {
  content: "\f14b";
}
.fa-external-link-square:before {
  content: "\f14c";
}
.fa-share-square:before {
  content: "\f14d";
}
.fa-compass:before {
  content: "\f14e";
}
.fa-toggle-down:before,
.fa-caret-square-o-down:before {
  content: "\f150";
}
.fa-toggle-up:before,
.fa-caret-square-o-up:before {
  content: "\f151";
}
.fa-toggle-right:before,
.fa-caret-square-o-right:before {
  content: "\f152";
}
.fa-euro:before,
.fa-eur:before {
  content: "\f153";
}
.fa-gbp:before {
  content: "\f154";
}
.fa-dollar:before,
.fa-usd:before {
  content: "\f155";
}
.fa-rupee:before,
.fa-inr:before {
  content: "\f156";
}
.fa-cny:before,
.fa-rmb:before,
.fa-yen:before,
.fa-jpy:before {
  content: "\f157";
}
.fa-ruble:before,
.fa-rouble:before,
.fa-rub:before {
  content: "\f158";
}
.fa-won:before,
.fa-krw:before {
  content: "\f159";
}
.fa-bitcoin:before,
.fa-btc:before {
  content: "\f15a";
}
.fa-file:before {
  content: "\f15b";
}
.fa-file-text:before {
  content: "\f15c";
}
.fa-sort-alpha-asc:before {
  content: "\f15d";
}
.fa-sort-alpha-desc:before {
  content: "\f15e";
}
.fa-sort-amount-asc:before {
  content: "\f160";
}
.fa-sort-amount-desc:before {
  content: "\f161";
}
.fa-sort-numeric-asc:before {
  content: "\f162";
}
.fa-sort-numeric-desc:before {
  content: "\f163";
}
.fa-thumbs-up:before {
  content: "\f164";
}
.fa-thumbs-down:before {
  content: "\f165";
}
.fa-youtube-square:before {
  content: "\f166";
}
.fa-youtube:before {
  content: "\f167";
}
.fa-xing:before {
  content: "\f168";
}
.fa-xing-square:before {
  content: "\f169";
}
.fa-youtube-play:before {
  content: "\f16a";
}
.fa-dropbox:before {
  content: "\f16b";
}
.fa-stack-overflow:before {
  content: "\f16c";
}
.fa-instagram:before {
  content: "\f16d";
}
.fa-flickr:before {
  content: "\f16e";
}
.fa-adn:before {
  content: "\f170";
}
.fa-bitbucket:before {
  content: "\f171";
}
.fa-bitbucket-square:before {
  content: "\f172";
}
.fa-tumblr:before {
  content: "\f173";
}
.fa-tumblr-square:before {
  content: "\f174";
}
.fa-long-arrow-down:before {
  content: "\f175";
}
.fa-long-arrow-up:before {
  content: "\f176";
}
.fa-long-arrow-left:before {
  content: "\f177";
}
.fa-long-arrow-right:before {
  content: "\f178";
}
.fa-apple:before {
  content: "\f179";
}
.fa-windows:before {
  content: "\f17a";
}
.fa-android:before {
  content: "\f17b";
}
.fa-linux:before {
  content: "\f17c";
}
.fa-dribbble:before {
  content: "\f17d";
}
.fa-skype:before {
  content: "\f17e";
}
.fa-foursquare:before {
  content: "\f180";
}
.fa-trello:before {
  content: "\f181";
}
.fa-female:before {
  content: "\f182";
}
.fa-male:before {
  content: "\f183";
}
.fa-gittip:before,
.fa-gratipay:before {
  content: "\f184";
}
.fa-sun-o:before {
  content: "\f185";
}
.fa-moon-o:before {
  content: "\f186";
}
.fa-archive:before {
  content: "\f187";
}
.fa-bug:before {
  content: "\f188";
}
.fa-vk:before {
  content: "\f189";
}
.fa-weibo:before {
  content: "\f18a";
}
.fa-renren:before {
  content: "\f18b";
}
.fa-pagelines:before {
  content: "\f18c";
}
.fa-stack-exchange:before {
  content: "\f18d";
}
.fa-arrow-circle-o-right:before {
  content: "\f18e";
}
.fa-arrow-circle-o-left:before {
  content: "\f190";
}
.fa-toggle-left:before,
.fa-caret-square-o-left:before {
  content: "\f191";
}
.fa-dot-circle-o:before {
  content: "\f192";
}
.fa-wheelchair:before {
  content: "\f193";
}
.fa-vimeo-square:before {
  content: "\f194";
}
.fa-turkish-lira:before,
.fa-try:before {
  content: "\f195";
}
.fa-plus-square-o:before {
  content: "\f196";
}
.fa-space-shuttle:before {
  content: "\f197";
}
.fa-slack:before {
  content: "\f198";
}
.fa-envelope-square:before {
  content: "\f199";
}
.fa-wordpress:before {
  content: "\f19a";
}
.fa-openid:before {
  content: "\f19b";
}
.fa-institution:before,
.fa-bank:before,
.fa-university:before {
  content: "\f19c";
}
.fa-mortar-board:before,
.fa-graduation-cap:before {
  content: "\f19d";
}
.fa-yahoo:before {
  content: "\f19e";
}
.fa-google:before {
  content: "\f1a0";
}
.fa-reddit:before {
  content: "\f1a1";
}
.fa-reddit-square:before {
  content: "\f1a2";
}
.fa-stumbleupon-circle:before {
  content: "\f1a3";
}
.fa-stumbleupon:before {
  content: "\f1a4";
}
.fa-delicious:before {
  content: "\f1a5";
}
.fa-digg:before {
  content: "\f1a6";
}
.fa-pied-piper-pp:before {
  content: "\f1a7";
}
.fa-pied-piper-alt:before {
  content: "\f1a8";
}
.fa-drupal:before {
  content: "\f1a9";
}
.fa-joomla:before {
  content: "\f1aa";
}
.fa-language:before {
  content: "\f1ab";
}
.fa-fax:before {
  content: "\f1ac";
}
.fa-building:before {
  content: "\f1ad";
}
.fa-child:before {
  content: "\f1ae";
}
.fa-paw:before {
  content: "\f1b0";
}
.fa-spoon:before {
  content: "\f1b1";
}
.fa-cube:before {
  content: "\f1b2";
}
.fa-cubes:before {
  content: "\f1b3";
}
.fa-behance:before {
  content: "\f1b4";
}
.fa-behance-square:before {
  content: "\f1b5";
}
.fa-steam:before {
  content: "\f1b6";
}
.fa-steam-square:before {
  content: "\f1b7";
}
.fa-recycle:before {
  content: "\f1b8";
}
.fa-automobile:before,
.fa-car:before {
  content: "\f1b9";
}
.fa-cab:before,
.fa-taxi:before {
  content: "\f1ba";
}
.fa-tree:before {
  content: "\f1bb";
}
.fa-spotify:before {
  content: "\f1bc";
}
.fa-deviantart:before {
  content: "\f1bd";
}
.fa-soundcloud:before {
  content: "\f1be";
}
.fa-database:before {
  content: "\f1c0";
}
.fa-file-pdf-o:before {
  content: "\f1c1";
}
.fa-file-word-o:before {
  content: "\f1c2";
}
.fa-file-excel-o:before {
  content: "\f1c3";
}
.fa-file-powerpoint-o:before {
  content: "\f1c4";
}
.fa-file-photo-o:before,
.fa-file-picture-o:before,
.fa-file-image-o:before {
  content: "\f1c5";
}
.fa-file-zip-o:before,
.fa-file-archive-o:before {
  content: "\f1c6";
}
.fa-file-sound-o:before,
.fa-file-audio-o:before {
  content: "\f1c7";
}
.fa-file-movie-o:before,
.fa-file-video-o:before {
  content: "\f1c8";
}
.fa-file-code-o:before {
  content: "\f1c9";
}
.fa-vine:before {
  content: "\f1ca";
}
.fa-codepen:before {
  content: "\f1cb";
}
.fa-jsfiddle:before {
  content: "\f1cc";
}
.fa-life-bouy:before,
.fa-life-buoy:before,
.fa-life-saver:before,
.fa-support:before,
.fa-life-ring:before {
  content: "\f1cd";
}
.fa-circle-o-notch:before {
  content: "\f1ce";
}
.fa-ra:before,
.fa-resistance:before,
.fa-rebel:before {
  content: "\f1d0";
}
.fa-ge:before,
.fa-empire:before {
  content: "\f1d1";
}
.fa-git-square:before {
  content: "\f1d2";
}
.fa-git:before {
  content: "\f1d3";
}
.fa-y-combinator-square:before,
.fa-yc-square:before,
.fa-hacker-news:before {
  content: "\f1d4";
}
.fa-tencent-weibo:before {
  content: "\f1d5";
}
.fa-qq:before {
  content: "\f1d6";
}
.fa-wechat:before,
.fa-weixin:before {
  content: "\f1d7";
}
.fa-send:before,
.fa-paper-plane:before {
  content: "\f1d8";
}
.fa-send-o:before,
.fa-paper-plane-o:before {
  content: "\f1d9";
}
.fa-history:before {
  content: "\f1da";
}
.fa-circle-thin:before {
  content: "\f1db";
}
.fa-header:before {
  content: "\f1dc";
}
.fa-paragraph:before {
  content: "\f1dd";
}
.fa-sliders:before {
  content: "\f1de";
}
.fa-share-alt:before {
  content: "\f1e0";
}
.fa-share-alt-square:before {
  content: "\f1e1";
}
.fa-bomb:before {
  content: "\f1e2";
}
.fa-soccer-ball-o:before,
.fa-futbol-o:before {
  content: "\f1e3";
}
.fa-tty:before {
  content: "\f1e4";
}
.fa-binoculars:before {
  content: "\f1e5";
}
.fa-plug:before {
  content: "\f1e6";
}
.fa-slideshare:before {
  content: "\f1e7";
}
.fa-twitch:before {
  content: "\f1e8";
}
.fa-yelp:before {
  content: "\f1e9";
}
.fa-newspaper-o:before {
  content: "\f1ea";
}
.fa-wifi:before {
  content: "\f1eb";
}
.fa-calculator:before {
  content: "\f1ec";
}
.fa-paypal:before {
  content: "\f1ed";
}
.fa-google-wallet:before {
  content: "\f1ee";
}
.fa-cc-visa:before {
  content: "\f1f0";
}
.fa-cc-mastercard:before {
  content: "\f1f1";
}
.fa-cc-discover:before {
  content: "\f1f2";
}
.fa-cc-amex:before {
  content: "\f1f3";
}
.fa-cc-paypal:before {
  content: "\f1f4";
}
.fa-cc-stripe:before {
  content: "\f1f5";
}
.fa-bell-slash:before {
  content: "\f1f6";
}
.fa-bell-slash-o:before {
  content: "\f1f7";
}
.fa-trash:before {
  content: "\f1f8";
}
.fa-copyright:before {
  content: "\f1f9";
}
.fa-at:before {
  content: "\f1fa";
}
.fa-eyedropper:before {
  content: "\f1fb";
}
.fa-paint-brush:before {
  content: "\f1fc";
}
.fa-birthday-cake:before {
  content: "\f1fd";
}
.fa-area-chart:before {
  content: "\f1fe";
}
.fa-pie-chart:before {
  content: "\f200";
}
.fa-line-chart:before {
  content: "\f201";
}
.fa-lastfm:before {
  content: "\f202";
}
.fa-lastfm-square:before {
  content: "\f203";
}
.fa-toggle-off:before {
  content: "\f204";
}
.fa-toggle-on:before {
  content: "\f205";
}
.fa-bicycle:before {
  content: "\f206";
}
.fa-bus:before {
  content: "\f207";
}
.fa-ioxhost:before {
  content: "\f208";
}
.fa-angellist:before {
  content: "\f209";
}
.fa-cc:before {
  content: "\f20a";
}
.fa-shekel:before,
.fa-sheqel:before,
.fa-ils:before {
  content: "\f20b";
}
.fa-meanpath:before {
  content: "\f20c";
}
.fa-buysellads:before {
  content: "\f20d";
}
.fa-connectdevelop:before {
  content: "\f20e";
}
.fa-dashcube:before {
  content: "\f210";
}
.fa-forumbee:before {
  content: "\f211";
}
.fa-leanpub:before {
  content: "\f212";
}
.fa-sellsy:before {
  content: "\f213";
}
.fa-shirtsinbulk:before {
  content: "\f214";
}
.fa-simplybuilt:before {
  content: "\f215";
}
.fa-skyatlas:before {
  content: "\f216";
}
.fa-cart-plus:before {
  content: "\f217";
}
.fa-cart-arrow-down:before {
  content: "\f218";
}
.fa-diamond:before {
  content: "\f219";
}
.fa-ship:before {
  content: "\f21a";
}
.fa-user-secret:before {
  content: "\f21b";
}
.fa-motorcycle:before {
  content: "\f21c";
}
.fa-street-view:before {
  content: "\f21d";
}
.fa-heartbeat:before {
  content: "\f21e";
}
.fa-venus:before {
  content: "\f221";
}
.fa-mars:before {
  content: "\f222";
}
.fa-mercury:before {
  content: "\f223";
}
.fa-intersex:before,
.fa-transgender:before {
  content: "\f224";
}
.fa-transgender-alt:before {
  content: "\f225";
}
.fa-venus-double:before {
  content: "\f226";
}
.fa-mars-double:before {
  content: "\f227";
}
.fa-venus-mars:before {
  content: "\f228";
}
.fa-mars-stroke:before {
  content: "\f229";
}
.fa-mars-stroke-v:before {
  content: "\f22a";
}
.fa-mars-stroke-h:before {
  content: "\f22b";
}
.fa-neuter:before {
  content: "\f22c";
}
.fa-genderless:before {
  content: "\f22d";
}
.fa-facebook-official:before {
  content: "\f230";
}
.fa-pinterest-p:before {
  content: "\f231";
}
.fa-whatsapp:before {
  content: "\f232";
}
.fa-server:before {
  content: "\f233";
}
.fa-user-plus:before {
  content: "\f234";
}
.fa-user-times:before {
  content: "\f235";
}
.fa-hotel:before,
.fa-bed:before {
  content: "\f236";
}
.fa-viacoin:before {
  content: "\f237";
}
.fa-train:before {
  content: "\f238";
}
.fa-subway:before {
  content: "\f239";
}
.fa-medium:before {
  content: "\f23a";
}
.fa-yc:before,
.fa-y-combinator:before {
  content: "\f23b";
}
.fa-optin-monster:before {
  content: "\f23c";
}
.fa-opencart:before {
  content: "\f23d";
}
.fa-expeditedssl:before {
  content: "\f23e";
}
.fa-battery-4:before,
.fa-battery:before,
.fa-battery-full:before {
  content: "\f240";
}
.fa-battery-3:before,
.fa-battery-three-quarters:before {
  content: "\f241";
}
.fa-battery-2:before,
.fa-battery-half:before {
  content: "\f242";
}
.fa-battery-1:before,
.fa-battery-quarter:before {
  content: "\f243";
}
.fa-battery-0:before,
.fa-battery-empty:before {
  content: "\f244";
}
.fa-mouse-pointer:before {
  content: "\f245";
}
.fa-i-cursor:before {
  content: "\f246";
}
.fa-object-group:before {
  content: "\f247";
}
.fa-object-ungroup:before {
  content: "\f248";
}
.fa-sticky-note:before {
  content: "\f249";
}
.fa-sticky-note-o:before {
  content: "\f24a";
}
.fa-cc-jcb:before {
  content: "\f24b";
}
.fa-cc-diners-club:before {
  content: "\f24c";
}
.fa-clone:before {
  content: "\f24d";
}
.fa-balance-scale:before {
  content: "\f24e";
}
.fa-hourglass-o:before {
  content: "\f250";
}
.fa-hourglass-1:before,
.fa-hourglass-start:before {
  content: "\f251";
}
.fa-hourglass-2:before,
.fa-hourglass-half:before {
  content: "\f252";
}
.fa-hourglass-3:before,
.fa-hourglass-end:before {
  content: "\f253";
}
.fa-hourglass:before {
  content: "\f254";
}
.fa-hand-grab-o:before,
.fa-hand-rock-o:before {
  content: "\f255";
}
.fa-hand-stop-o:before,
.fa-hand-paper-o:before {
  content: "\f256";
}
.fa-hand-scissors-o:before {
  content: "\f257";
}
.fa-hand-lizard-o:before {
  content: "\f258";
}
.fa-hand-spock-o:before {
  content: "\f259";
}
.fa-hand-pointer-o:before {
  content: "\f25a";
}
.fa-hand-peace-o:before {
  content: "\f25b";
}
.fa-trademark:before {
  content: "\f25c";
}
.fa-registered:before {
  content: "\f25d";
}
.fa-creative-commons:before {
  content: "\f25e";
}
.fa-gg:before {
  content: "\f260";
}
.fa-gg-circle:before {
  content: "\f261";
}
.fa-tripadvisor:before {
  content: "\f262";
}
.fa-odnoklassniki:before {
  content: "\f263";
}
.fa-odnoklassniki-square:before {
  content: "\f264";
}
.fa-get-pocket:before {
  content: "\f265";
}
.fa-wikipedia-w:before {
  content: "\f266";
}
.fa-safari:before {
  content: "\f267";
}
.fa-chrome:before {
  content: "\f268";
}
.fa-firefox:before {
  content: "\f269";
}
.fa-opera:before {
  content: "\f26a";
}
.fa-internet-explorer:before {
  content: "\f26b";
}
.fa-tv:before,
.fa-television:before {
  content: "\f26c";
}
.fa-contao:before {
  content: "\f26d";
}
.fa-500px:before {
  content: "\f26e";
}
.fa-amazon:before {
  content: "\f270";
}
.fa-calendar-plus-o:before {
  content: "\f271";
}
.fa-calendar-minus-o:before {
  content: "\f272";
}
.fa-calendar-times-o:before {
  content: "\f273";
}
.fa-calendar-check-o:before {
  content: "\f274";
}
.fa-industry:before {
  content: "\f275";
}
.fa-map-pin:before {
  content: "\f276";
}
.fa-map-signs:before {
  content: "\f277";
}
.fa-map-o:before {
  content: "\f278";
}
.fa-map:before {
  content: "\f279";
}
.fa-commenting:before {
  content: "\f27a";
}
.fa-commenting-o:before {
  content: "\f27b";
}
.fa-houzz:before {
  content: "\f27c";
}
.fa-vimeo:before {
  content: "\f27d";
}
.fa-black-tie:before {
  content: "\f27e";
}
.fa-fonticons:before {
  content: "\f280";
}
.fa-reddit-alien:before {
  content: "\f281";
}
.fa-edge:before {
  content: "\f282";
}
.fa-credit-card-alt:before {
  content: "\f283";
}
.fa-codiepie:before {
  content: "\f284";
}
.fa-modx:before {
  content: "\f285";
}
.fa-fort-awesome:before {
  content: "\f286";
}
.fa-usb:before {
  content: "\f287";
}
.fa-product-hunt:before {
  content: "\f288";
}
.fa-mixcloud:before {
  content: "\f289";
}
.fa-scribd:before {
  content: "\f28a";
}
.fa-pause-circle:before {
  content: "\f28b";
}
.fa-pause-circle-o:before {
  content: "\f28c";
}
.fa-stop-circle:before {
  content: "\f28d";
}
.fa-stop-circle-o:before {
  content: "\f28e";
}
.fa-shopping-bag:before {
  content: "\f290";
}
.fa-shopping-basket:before {
  content: "\f291";
}
.fa-hashtag:before {
  content: "\f292";
}
.fa-bluetooth:before {
  content: "\f293";
}
.fa-bluetooth-b:before {
  content: "\f294";
}
.fa-percent:before {
  content: "\f295";
}
.fa-gitlab:before {
  content: "\f296";
}
.fa-wpbeginner:before {
  content: "\f297";
}
.fa-wpforms:before {
  content: "\f298";
}
.fa-envira:before {
  content: "\f299";
}
.fa-universal-access:before {
  content: "\f29a";
}
.fa-wheelchair-alt:before {
  content: "\f29b";
}
.fa-question-circle-o:before {
  content: "\f29c";
}
.fa-blind:before {
  content: "\f29d";
}
.fa-audio-description:before {
  content: "\f29e";
}
.fa-volume-control-phone:before {
  content: "\f2a0";
}
.fa-braille:before {
  content: "\f2a1";
}
.fa-assistive-listening-systems:before {
  content: "\f2a2";
}
.fa-asl-interpreting:before,
.fa-american-sign-language-interpreting:before {
  content: "\f2a3";
}
.fa-deafness:before,
.fa-hard-of-hearing:before,
.fa-deaf:before {
  content: "\f2a4";
}
.fa-glide:before {
  content: "\f2a5";
}
.fa-glide-g:before {
  content: "\f2a6";
}
.fa-signing:before,
.fa-sign-language:before {
  content: "\f2a7";
}
.fa-low-vision:before {
  content: "\f2a8";
}
.fa-viadeo:before {
  content: "\f2a9";
}
.fa-viadeo-square:before {
  content: "\f2aa";
}
.fa-snapchat:before {
  content: "\f2ab";
}
.fa-snapchat-ghost:before {
  content: "\f2ac";
}
.fa-snapchat-square:before {
  content: "\f2ad";
}
.fa-pied-piper:before {
  content: "\f2ae";
}
.fa-first-order:before {
  content: "\f2b0";
}
.fa-yoast:before {
  content: "\f2b1";
}
.fa-themeisle:before {
  content: "\f2b2";
}
.fa-google-plus-circle:before,
.fa-google-plus-official:before {
  content: "\f2b3";
}
.fa-fa:before,
.fa-font-awesome:before {
  content: "\f2b4";
}
.fa-handshake-o:before {
  content: "\f2b5";
}
.fa-envelope-open:before {
  content: "\f2b6";
}
.fa-envelope-open-o:before {
  content: "\f2b7";
}
.fa-linode:before {
  content: "\f2b8";
}
.fa-address-book:before {
  content: "\f2b9";
}
.fa-address-book-o:before {
  content: "\f2ba";
}
.fa-vcard:before,
.fa-address-card:before {
  content: "\f2bb";
}
.fa-vcard-o:before,
.fa-address-card-o:before {
  content: "\f2bc";
}
.fa-user-circle:before {
  content: "\f2bd";
}
.fa-user-circle-o:before {
  content: "\f2be";
}
.fa-user-o:before {
  content: "\f2c0";
}
.fa-id-badge:before {
  content: "\f2c1";
}
.fa-drivers-license:before,
.fa-id-card:before {
  content: "\f2c2";
}
.fa-drivers-license-o:before,
.fa-id-card-o:before {
  content: "\f2c3";
}
.fa-quora:before {
  content: "\f2c4";
}
.fa-free-code-camp:before {
  content: "\f2c5";
}
.fa-telegram:before {
  content: "\f2c6";
}
.fa-thermometer-4:before,
.fa-thermometer:before,
.fa-thermometer-full:before {
  content: "\f2c7";
}
.fa-thermometer-3:before,
.fa-thermometer-three-quarters:before {
  content: "\f2c8";
}
.fa-thermometer-2:before,
.fa-thermometer-half:before {
  content: "\f2c9";
}
.fa-thermometer-1:before,
.fa-thermometer-quarter:before {
  content: "\f2ca";
}
.fa-thermometer-0:before,
.fa-thermometer-empty:before {
  content: "\f2cb";
}
.fa-shower:before {
  content: "\f2cc";
}
.fa-bathtub:before,
.fa-s15:before,
.fa-bath:before {
  content: "\f2cd";
}
.fa-podcast:before {
  content: "\f2ce";
}
.fa-window-maximize:before {
  content: "\f2d0";
}
.fa-window-minimize:before {
  content: "\f2d1";
}
.fa-window-restore:before {
  content: "\f2d2";
}
.fa-times-rectangle:before,
.fa-window-close:before {
  content: "\f2d3";
}
.fa-times-rectangle-o:before,
.fa-window-close-o:before {
  content: "\f2d4";
}
.fa-bandcamp:before {
  content: "\f2d5";
}
.fa-grav:before {
  content: "\f2d6";
}
.fa-etsy:before {
  content: "\f2d7";
}
.fa-imdb:before {
  content: "\f2d8";
}
.fa-ravelry:before {
  content: "\f2d9";
}
.fa-eercast:before {
  content: "\f2da";
}
.fa-microchip:before {
  content: "\f2db";
}
.fa-snowflake-o:before {
  content: "\f2dc";
}
.fa-superpowers:before {
  content: "\f2dd";
}
.fa-wpexplorer:before {
  content: "\f2de";
}
.fa-meetup:before {
  content: "\f2e0";
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  padding: 0;
  margin: -1px;
  overflow: hidden;
  clip: rect(0, 0, 0, 0);
  border: 0;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
/*!
*
* IPython base
*
*/
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
code {
  color: #000;
}
pre {
  font-size: inherit;
  line-height: inherit;
}
label {
  font-weight: normal;
}
/* Make the page background atleast 100% the height of the view port */
/* Make the page itself atleast 70% the height of the view port */
.border-box-sizing {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.corner-all {
  border-radius: 2px;
}
.no-padding {
  padding: 0px;
}
/* Flexible box model classes */
/* Taken from Alex Russell http://infrequently.org/2009/08/css-3-progress/ */
/* This file is a compatability layer.  It allows the usage of flexible box 
model layouts accross multiple browsers, including older browsers.  The newest,
universal implementation of the flexible box model is used when available (see
`Modern browsers` comments below).  Browsers that are known to implement this 
new spec completely include:

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

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

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

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

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

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

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

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

<span class="n">test_transforms</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span> <span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">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="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])</span>
                                            <span class="p">])</span>

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


<span class="c1"># TODO: Using the image datasets and the trainforms, define the dataloaders</span>
<span class="n">trainloader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">train_data</span><span class="p">,</span> <span class="n">batch_size</span> <span class="o">=</span> <span class="mi">64</span><span class="p">,</span> <span class="n">shuffle</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
<span class="n">validationloader</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">validation_data</span><span class="p">,</span> <span class="n">batch_size</span> <span class="o">=</span> <span class="mi">64</span><span class="p">,</span> <span class="n">shuffle</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
<span class="n">testloader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">test_data</span><span class="p">,</span> <span class="n">batch_size</span> <span class="o">=</span> <span class="mi">64</span><span class="p">,</span> <span class="n">shuffle</span> <span class="o">=</span> <span class="kc">True</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><strong>Note for Workspace users:</strong> If your network is over 1 GB when saved as a checkpoint, there might be issues with saving backups in your workspace. Typically this happens with wide dense layers after the convolutional layers. If your saved checkpoint is larger than 1 GB (you can open a terminal and check with <code>ls -lh</code>), you should reduce the size of your hidden layers and train again.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">model</span> <span class="o">=</span> <span class="n">models</span><span class="o">.</span><span class="n">vgg16</span><span class="p">(</span><span class="n">pretrained</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
<span class="n">model</span>
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<pre>Downloading: &#34;https://download.pytorch.org/models/vgg16-397923af.pth&#34; to /root/.torch/models/vgg16-397923af.pth
100%|██████████| 553433881/553433881 [00:05&lt;00:00, 98545309.28it/s] 
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<pre>VGG(
  (features): Sequential(
    (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (1): ReLU(inplace)
    (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (3): ReLU(inplace)
    (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (5): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (6): ReLU(inplace)
    (7): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (8): ReLU(inplace)
    (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (10): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (11): ReLU(inplace)
    (12): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (13): ReLU(inplace)
    (14): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (15): ReLU(inplace)
    (16): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (17): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (18): ReLU(inplace)
    (19): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (20): ReLU(inplace)
    (21): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (22): ReLU(inplace)
    (23): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (24): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (25): ReLU(inplace)
    (26): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (27): ReLU(inplace)
    (28): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (29): ReLU(inplace)
    (30): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): Sequential(
    (0): Linear(in_features=25088, out_features=4096, bias=True)
    (1): ReLU(inplace)
    (2): Dropout(p=0.5)
    (3): Linear(in_features=4096, out_features=4096, bias=True)
    (4): ReLU(inplace)
    (5): Dropout(p=0.5)
    (6): Linear(in_features=4096, out_features=1000, bias=True)
  )
)</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#updating classifier in network</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">required_grad</span> <span class="o">=</span> <span class="kc">False</span>
    
<span class="n">classifier</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Sequential</span><span class="p">(</span><span class="n">OrderedDict</span><span class="p">([</span>
                            <span class="p">(</span><span class="s1">&#39;fc1&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="mi">25088</span><span class="p">,</span> <span class="mi">4096</span><span class="p">)),</span>
                            <span class="p">(</span><span class="s1">&#39;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;dropout1&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="n">p</span> <span class="o">=</span> <span class="mf">0.3</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">2048</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;dropout2&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="n">p</span> <span class="o">=</span> <span class="mf">0.3</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">2048</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">model</span>
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<pre>VGG(
  (features): Sequential(
    (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (1): ReLU(inplace)
    (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (3): ReLU(inplace)
    (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (5): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (6): ReLU(inplace)
    (7): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (8): ReLU(inplace)
    (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (10): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (11): ReLU(inplace)
    (12): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (13): ReLU(inplace)
    (14): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (15): ReLU(inplace)
    (16): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (17): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (18): ReLU(inplace)
    (19): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (20): ReLU(inplace)
    (21): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (22): ReLU(inplace)
    (23): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (24): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (25): ReLU(inplace)
    (26): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (27): ReLU(inplace)
    (28): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (29): ReLU(inplace)
    (30): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): Sequential(
    (fc1): Linear(in_features=25088, out_features=4096, bias=True)
    (relu1): ReLU()
    (dropout1): Dropout(p=0.3)
    (fc2): Linear(in_features=4096, out_features=2048, bias=True)
    (relu2): ReLU()
    (dropout2): Dropout(p=0.3)
    (fc3): Linear(in_features=2048, out_features=102, bias=True)
    (output): LogSoftmax()
  )
)</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Initialize criterion and optimizer</span>

<span class="n">criterion</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">NLLLoss</span><span class="p">()</span>
<span class="n">optimizer</span> <span class="o">=</span> <span class="n">optim</span><span class="o">.</span><span class="n">Adam</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">classifier</span><span class="o">.</span><span class="n">parameters</span><span class="p">(),</span> <span class="n">lr</span> <span class="o">=</span> <span class="mf">0.001</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Defining Validation</span>

<span class="k">def</span> <span class="nf">validation</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">validationloader</span><span class="p">,</span> <span class="n">criterion</span><span class="p">):</span>
    
    <span class="n">model</span><span class="o">.</span><span class="n">to</span> <span class="p">(</span><span class="s1">&#39;cuda&#39;</span><span class="p">)</span>
    
    <span class="n">validationloss</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">accuracy</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="k">for</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">validationloader</span><span class="p">:</span>
        
        <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">inputs</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cuda&#39;</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="s1">&#39;cuda&#39;</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">inputs</span><span class="p">)</span>
        <span class="n">validationloss</span> <span class="o">+=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">output</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>

        <span class="n">ps</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">output</span><span class="p">)</span>
        <span class="n">equality</span> <span class="o">=</span> <span class="p">(</span><span class="n">labels</span><span class="o">.</span><span class="n">data</span> <span class="o">==</span> <span class="n">ps</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)[</span><span class="mi">1</span><span class="p">])</span>
        <span class="n">accuracy</span> <span class="o">+=</span> <span class="n">equality</span><span class="o">.</span><span class="n">type</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">FloatTensor</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
    
    <span class="k">return</span> <span class="n">validationloss</span><span class="p">,</span> <span class="n">accuracy</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Training the model:</span>

<span class="n">model</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cuda&#39;</span><span class="p">)</span>
<span class="n">epochs</span> <span class="o">=</span> <span class="mi">8</span>
<span class="n">running_loss</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">steps</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">print_every</span> <span class="o">=</span> <span class="mi">10</span>

<span class="k">for</span> <span class="n">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="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="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="s1">&#39;cuda&#39;</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="s1">&#39;cuda&#39;</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">#to make optimizer work only on classifier parameters</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">loss</span><span class="o">.</span><span class="n">item</span><span class="p">()</span> <span class="c1"># Here, loss.item () returns scalar value of Loss function</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">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span> <span class="c1">#Here, switching to evaluation mode so that dropout turns off</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">validationloss</span><span class="p">,</span> <span class="n">accuracy</span> <span class="o">=</span> <span class="n">validation</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">validationloader</span><span class="p">,</span> <span class="n">criterion</span><span class="p">)</span>
            <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Epoch: </span><span class="si">{}</span><span class="s2">/</span><span class="si">{}</span><span class="s2">.. &quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">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">{:.3f}</span><span class="s2">.. &quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">running_loss</span><span class="o">/</span><span class="n">print_every</span><span class="p">),</span>
                  <span class="s2">&quot;Validation Loss: </span><span class="si">{:.3f}</span><span class="s2">.. &quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">validationloss</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">validationloader</span><span class="p">)),</span>
                  <span class="s2">&quot;Validation Accuracy: </span><span class="si">{:.3f}</span><span class="s2">%&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">accuracy</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">validationloader</span><span class="p">)</span><span class="o">*</span><span class="mi">100</span><span class="p">))</span>
            
            <span class="n">running_loss</span> <span class="o">=</span> <span class="mi">0</span>
            <span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
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<pre>Epoch: 1/8..  Training Loss: 3.019..  Validation Loss: 2.581..  Validation Accuracy: 37.264%
Epoch: 1/8..  Training Loss: 2.693..  Validation Loss: 2.060..  Validation Accuracy: 46.793%
Epoch: 1/8..  Training Loss: 2.529..  Validation Loss: 1.737..  Validation Accuracy: 53.058%
Epoch: 1/8..  Training Loss: 2.316..  Validation Loss: 1.440..  Validation Accuracy: 59.577%
Epoch: 1/8..  Training Loss: 1.902..  Validation Loss: 1.409..  Validation Accuracy: 61.245%
Epoch: 1/8..  Training Loss: 1.842..  Validation Loss: 1.168..  Validation Accuracy: 68.981%
Epoch: 1/8..  Training Loss: 1.824..  Validation Loss: 1.193..  Validation Accuracy: 63.596%
Epoch: 1/8..  Training Loss: 1.641..  Validation Loss: 1.089..  Validation Accuracy: 69.312%
Epoch: 1/8..  Training Loss: 1.591..  Validation Loss: 0.998..  Validation Accuracy: 71.918%
Epoch: 1/8..  Training Loss: 1.577..  Validation Loss: 1.022..  Validation Accuracy: 70.423%
Epoch: 2/8..  Training Loss: 1.712..  Validation Loss: 0.950..  Validation Accuracy: 75.779%
Epoch: 2/8..  Training Loss: 1.533..  Validation Loss: 0.931..  Validation Accuracy: 73.793%
Epoch: 2/8..  Training Loss: 1.377..  Validation Loss: 0.870..  Validation Accuracy: 77.553%
Epoch: 2/8..  Training Loss: 1.315..  Validation Loss: 0.845..  Validation Accuracy: 77.481%
Epoch: 2/8..  Training Loss: 1.424..  Validation Loss: 0.855..  Validation Accuracy: 76.399%
Epoch: 2/8..  Training Loss: 1.268..  Validation Loss: 0.746..  Validation Accuracy: 78.971%
Epoch: 2/8..  Training Loss: 1.301..  Validation Loss: 0.819..  Validation Accuracy: 78.389%
Epoch: 2/8..  Training Loss: 1.341..  Validation Loss: 0.809..  Validation Accuracy: 77.755%
Epoch: 2/8..  Training Loss: 1.268..  Validation Loss: 0.748..  Validation Accuracy: 78.817%
Epoch: 2/8..  Training Loss: 1.456..  Validation Loss: 0.739..  Validation Accuracy: 79.784%
Epoch: 3/8..  Training Loss: 1.457..  Validation Loss: 0.791..  Validation Accuracy: 78.014%
Epoch: 3/8..  Training Loss: 1.215..  Validation Loss: 0.724..  Validation Accuracy: 80.894%
Epoch: 3/8..  Training Loss: 1.322..  Validation Loss: 0.725..  Validation Accuracy: 80.981%
Epoch: 3/8..  Training Loss: 1.297..  Validation Loss: 0.665..  Validation Accuracy: 81.668%
Epoch: 3/8..  Training Loss: 1.188..  Validation Loss: 0.658..  Validation Accuracy: 81.962%
Epoch: 3/8..  Training Loss: 1.290..  Validation Loss: 0.600..  Validation Accuracy: 83.385%
Epoch: 3/8..  Training Loss: 1.092..  Validation Loss: 0.548..  Validation Accuracy: 84.399%
Epoch: 3/8..  Training Loss: 1.106..  Validation Loss: 0.580..  Validation Accuracy: 84.139%
Epoch: 3/8..  Training Loss: 1.109..  Validation Loss: 0.632..  Validation Accuracy: 82.697%
Epoch: 3/8..  Training Loss: 1.267..  Validation Loss: 0.657..  Validation Accuracy: 82.611%
Epoch: 4/8..  Training Loss: 1.284..  Validation Loss: 0.554..  Validation Accuracy: 83.933%
Epoch: 4/8..  Training Loss: 1.160..  Validation Loss: 0.568..  Validation Accuracy: 83.933%
Epoch: 4/8..  Training Loss: 1.058..  Validation Loss: 0.555..  Validation Accuracy: 83.111%
Epoch: 4/8..  Training Loss: 1.123..  Validation Loss: 0.582..  Validation Accuracy: 84.144%
Epoch: 4/8..  Training Loss: 1.185..  Validation Loss: 0.633..  Validation Accuracy: 82.303%
Epoch: 4/8..  Training Loss: 0.958..  Validation Loss: 0.556..  Validation Accuracy: 84.312%
Epoch: 4/8..  Training Loss: 1.147..  Validation Loss: 0.485..  Validation Accuracy: 85.822%
Epoch: 4/8..  Training Loss: 1.156..  Validation Loss: 0.553..  Validation Accuracy: 83.452%
Epoch: 4/8..  Training Loss: 1.109..  Validation Loss: 0.475..  Validation Accuracy: 87.332%
Epoch: 4/8..  Training Loss: 1.143..  Validation Loss: 0.543..  Validation Accuracy: 85.500%
Epoch: 4/8..  Training Loss: 1.014..  Validation Loss: 0.520..  Validation Accuracy: 84.567%
Epoch: 5/8..  Training Loss: 0.989..  Validation Loss: 0.525..  Validation Accuracy: 83.933%
Epoch: 5/8..  Training Loss: 0.970..  Validation Loss: 0.487..  Validation Accuracy: 86.043%
Epoch: 5/8..  Training Loss: 1.101..  Validation Loss: 0.502..  Validation Accuracy: 86.303%
Epoch: 5/8..  Training Loss: 1.049..  Validation Loss: 0.527..  Validation Accuracy: 84.582%
Epoch: 5/8..  Training Loss: 1.063..  Validation Loss: 0.530..  Validation Accuracy: 84.279%
Epoch: 5/8..  Training Loss: 1.023..  Validation Loss: 0.659..  Validation Accuracy: 82.115%
Epoch: 5/8..  Training Loss: 1.131..  Validation Loss: 0.510..  Validation Accuracy: 85.394%
Epoch: 5/8..  Training Loss: 0.993..  Validation Loss: 0.464..  Validation Accuracy: 87.505%
Epoch: 5/8..  Training Loss: 1.054..  Validation Loss: 0.479..  Validation Accuracy: 85.889%
Epoch: 5/8..  Training Loss: 1.112..  Validation Loss: 0.494..  Validation Accuracy: 86.442%
Epoch: 6/8..  Training Loss: 1.026..  Validation Loss: 0.542..  Validation Accuracy: 83.351%
Epoch: 6/8..  Training Loss: 0.950..  Validation Loss: 0.516..  Validation Accuracy: 86.663%
Epoch: 6/8..  Training Loss: 0.944..  Validation Loss: 0.479..  Validation Accuracy: 86.423%
Epoch: 6/8..  Training Loss: 1.009..  Validation Loss: 0.483..  Validation Accuracy: 85.995%
Epoch: 6/8..  Training Loss: 0.941..  Validation Loss: 0.514..  Validation Accuracy: 87.178%
Epoch: 6/8..  Training Loss: 1.005..  Validation Loss: 0.535..  Validation Accuracy: 83.851%
Epoch: 6/8..  Training Loss: 0.968..  Validation Loss: 0.486..  Validation Accuracy: 87.385%
Epoch: 6/8..  Training Loss: 0.807..  Validation Loss: 0.469..  Validation Accuracy: 86.183%
Epoch: 6/8..  Training Loss: 1.057..  Validation Loss: 0.462..  Validation Accuracy: 86.971%
Epoch: 6/8..  Training Loss: 0.943..  Validation Loss: 0.459..  Validation Accuracy: 87.091%
Epoch: 7/8..  Training Loss: 0.931..  Validation Loss: 0.432..  Validation Accuracy: 86.889%
Epoch: 7/8..  Training Loss: 0.832..  Validation Loss: 0.481..  Validation Accuracy: 85.375%
Epoch: 7/8..  Training Loss: 0.948..  Validation Loss: 0.509..  Validation Accuracy: 87.303%
Epoch: 7/8..  Training Loss: 0.885..  Validation Loss: 0.465..  Validation Accuracy: 88.293%
Epoch: 7/8..  Training Loss: 0.872..  Validation Loss: 0.499..  Validation Accuracy: 86.663%
Epoch: 7/8..  Training Loss: 0.775..  Validation Loss: 0.446..  Validation Accuracy: 88.534%
Epoch: 7/8..  Training Loss: 0.925..  Validation Loss: 0.490..  Validation Accuracy: 88.601%
Epoch: 7/8..  Training Loss: 0.962..  Validation Loss: 0.458..  Validation Accuracy: 88.399%
Epoch: 7/8..  Training Loss: 1.097..  Validation Loss: 0.421..  Validation Accuracy: 88.928%
Epoch: 7/8..  Training Loss: 0.912..  Validation Loss: 0.436..  Validation Accuracy: 88.293%
Epoch: 7/8..  Training Loss: 0.859..  Validation Loss: 0.433..  Validation Accuracy: 88.279%
Epoch: 8/8..  Training Loss: 0.962..  Validation Loss: 0.509..  Validation Accuracy: 85.822%
Epoch: 8/8..  Training Loss: 0.996..  Validation Loss: 0.468..  Validation Accuracy: 88.433%
Epoch: 8/8..  Training Loss: 0.836..  Validation Loss: 0.431..  Validation Accuracy: 90.077%
Epoch: 8/8..  Training Loss: 1.006..  Validation Loss: 0.464..  Validation Accuracy: 87.731%
Epoch: 8/8..  Training Loss: 1.013..  Validation Loss: 0.442..  Validation Accuracy: 89.721%
Epoch: 8/8..  Training Loss: 0.960..  Validation Loss: 0.414..  Validation Accuracy: 89.375%
Epoch: 8/8..  Training Loss: 1.027..  Validation Loss: 0.465..  Validation Accuracy: 88.447%
Epoch: 8/8..  Training Loss: 1.005..  Validation Loss: 0.484..  Validation Accuracy: 87.490%
Epoch: 8/8..  Training Loss: 0.987..  Validation Loss: 0.480..  Validation Accuracy: 88.139%
Epoch: 8/8..  Training Loss: 0.882..  Validation Loss: 0.453..  Validation Accuracy: 87.745%
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<h2 id="Testing-your-network">Testing your network<a class="anchor-link" href="#Testing-your-network">&#182;</a></h2><p>It's good practice to test your trained network on test data, images the network has never seen either in training or validation. This will give you a good estimate for the model's performance on completely new images. Run the test images through the network and measure the accuracy, the same way you did validation. You should be able to reach around 70% accuracy on the test set if the model has been trained well.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Do validation on the test set</span>

<span class="n">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">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">data</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="s1">&#39;cuda&#39;</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="s1">&#39;cuda&#39;</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">inputs</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">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;Accuracy of the network on test images: </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>
        
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<pre>Accuracy of the network on test images: 80 %
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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">to</span> <span class="p">(</span><span class="s1">&#39;cpu&#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">train_data</span><span class="o">.</span><span class="n">class_to_idx</span> 

<span class="c1">#creating dictionary </span>
<span class="n">checkpoint</span> <span class="o">=</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="s1">&#39;mapping&#39;</span><span class="p">:</span>    <span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span>
             <span class="p">}</span>        

<span class="n">torch</span><span class="o">.</span><span class="n">save</span> <span class="p">(</span><span class="n">checkpoint</span><span class="p">,</span> <span class="s1">&#39;project_checkpoint.pth&#39;</span><span class="p">)</span>
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<h2 id="Loading-the-checkpoint">Loading the checkpoint<a class="anchor-link" href="#Loading-the-checkpoint">&#182;</a></h2><p>At this point it's good to write a function that can load a checkpoint and rebuild the model. That way you can come back to this project and keep working on it without having to retrain the network.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Write a function that loads a checkpoint and rebuilds the model</span>

<span class="k">def</span> <span class="nf">load_model</span> <span class="p">(</span><span class="n">file_path</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">file_path</span><span class="p">)</span> <span class="c1">#loading checkpoint from a file</span>
    <span class="n">model</span> <span class="o">=</span> <span class="n">models</span><span class="o">.</span><span class="n">vgg16</span> <span class="p">(</span><span class="n">pretrained</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span> <span class="c1">#function works solely for Alexnet</span>
    <span class="c1">#you can use the arch from the checkpoint and choose the model architecture in a more generic way:</span>
    <span class="c1">#model = getattr(models, checkpoint[&#39;arch&#39;]</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="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;mapping&#39;</span><span class="p">]</span>
    
    <span class="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">():</span> 
        <span class="n">param</span><span class="o">.</span><span class="n">requires_grad</span> <span class="o">=</span> <span class="kc">False</span> <span class="c1">#turning off tuning of the model</span>
    
    <span class="k">return</span> <span class="n">model</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Verify if we loaded the model correctly</span>

<span class="n">model_verify</span> <span class="o">=</span> <span class="n">load_model</span> <span class="p">(</span><span class="s1">&#39;project_checkpoint.pth&#39;</span><span class="p">)</span>
<span class="n">model_verify</span>
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<pre>VGG(
  (features): Sequential(
    (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (1): ReLU(inplace)
    (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (3): ReLU(inplace)
    (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (5): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (6): ReLU(inplace)
    (7): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (8): ReLU(inplace)
    (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (10): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (11): ReLU(inplace)
    (12): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (13): ReLU(inplace)
    (14): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (15): ReLU(inplace)
    (16): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (17): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (18): ReLU(inplace)
    (19): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (20): ReLU(inplace)
    (21): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (22): ReLU(inplace)
    (23): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (24): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (25): ReLU(inplace)
    (26): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (27): ReLU(inplace)
    (28): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (29): ReLU(inplace)
    (30): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): Sequential(
    (fc1): Linear(in_features=25088, out_features=4096, bias=True)
    (relu1): ReLU()
    (dropout1): Dropout(p=0.3)
    (fc2): Linear(in_features=4096, out_features=2048, bias=True)
    (relu2): ReLU()
    (dropout2): Dropout(p=0.3)
    (fc3): Linear(in_features=2048, 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>
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<p>First you'll need to handle processing the input image such that it can be used in your network.</p>
<h2 id="Image-Preprocessing">Image Preprocessing<a class="anchor-link" href="#Image-Preprocessing">&#182;</a></h2><p>You'll want to use <code>PIL</code> to load the image (<a href="https://pillow.readthedocs.io/en/latest/reference/Image.html">documentation</a>). It's best to write a function that preprocesses the image so it can be used as input for the model. This function should process the images in the same manner used for training.</p>
<p>First, resize the images where the shortest side is 256 pixels, keeping the aspect ratio. This can be done with the <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>thumbnail</code></a> or <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>resize</code></a> methods. Then you'll need to crop out the center 224x224 portion of the image.</p>
<p>Color channels of images are typically encoded as integers 0-255, but the model expected floats 0-1. You'll need to convert the values. It's easiest with a Numpy array, which you can get from a PIL image like so <code>np_image = np.array(pil_image)</code>.</p>
<p>As before, the network expects the images to be normalized in a specific way. For the means, it's <code>[0.485, 0.456, 0.406]</code> and for the standard deviations <code>[0.229, 0.224, 0.225]</code>. You'll want to subtract the means from each color channel, then divide by the standard deviation.</p>
<p>And finally, PyTorch expects the color channel to be the first dimension but it's the third dimension in the PIL image and Numpy array. You can reorder dimensions using <a href="https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.ndarray.transpose.html"><code>ndarray.transpose</code></a>. The color channel needs to be first and retain the order of the other two dimensions.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">process_image</span><span class="p">(</span><span class="n">image</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39; Scales, crops, and normalizes a PIL image for a PyTorch model,</span>
<span class="sd">        returns an Numpy array</span>
<span class="sd">    &#39;&#39;&#39;</span>
    
    <span class="c1"># TODO: Process a PIL image for use in a PyTorch model</span>
    <span class="c1">#size = 256, 256</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</span><span class="p">)</span> <span class="c1">#loading image</span>
    <span class="n">width</span><span class="p">,</span> <span class="n">height</span> <span class="o">=</span> <span class="n">im</span><span class="o">.</span><span class="n">size</span> <span class="c1">#original size</span>
    <span class="c1">#proportion = width/ float (height) #to keep aspect ratio</span>
    
    <span class="k">if</span> <span class="n">width</span> <span class="o">&gt;</span> <span class="n">height</span><span class="p">:</span> 
        <span class="n">height</span> <span class="o">=</span> <span class="mi">256</span>
        <span class="n">im</span><span class="o">.</span><span class="n">thumbnail</span> <span class="p">((</span><span class="mi">50000</span><span class="p">,</span> <span class="n">height</span><span class="p">),</span> <span class="n">Image</span><span class="o">.</span><span class="n">ANTIALIAS</span><span class="p">)</span>
    <span class="k">else</span><span class="p">:</span> 
        <span class="n">width</span> <span class="o">=</span> <span class="mi">256</span>
        <span class="n">im</span><span class="o">.</span><span class="n">thumbnail</span> <span class="p">((</span><span class="n">width</span><span class="p">,</span><span class="mi">50000</span><span class="p">),</span> <span class="n">Image</span><span class="o">.</span><span class="n">ANTIALIAS</span><span class="p">)</span>
        
    
    <span class="n">width</span><span class="p">,</span> <span class="n">height</span> <span class="o">=</span> <span class="n">im</span><span class="o">.</span><span class="n">size</span> <span class="c1">#new size of im</span>
    <span class="c1">#crop 224x224 in the center</span>
    <span class="n">reduce</span> <span class="o">=</span> <span class="mi">224</span>
    <span class="n">left</span> <span class="o">=</span> <span class="p">(</span><span class="n">width</span> <span class="o">-</span> <span class="n">reduce</span><span class="p">)</span><span class="o">/</span><span class="mi">2</span> 
    <span class="n">top</span> <span class="o">=</span> <span class="p">(</span><span class="n">height</span> <span class="o">-</span> <span class="n">reduce</span><span class="p">)</span><span class="o">/</span><span class="mi">2</span>
    <span class="n">right</span> <span class="o">=</span> <span class="n">left</span> <span class="o">+</span> <span class="mi">224</span> 
    <span class="n">bottom</span> <span class="o">=</span> <span class="n">top</span> <span class="o">+</span> <span class="mi">224</span>
    <span class="n">im</span> <span class="o">=</span> <span class="n">im</span><span class="o">.</span><span class="n">crop</span> <span class="p">((</span><span class="n">left</span><span class="p">,</span> <span class="n">top</span><span class="p">,</span> <span class="n">right</span><span class="p">,</span> <span class="n">bottom</span><span class="p">))</span>
    
    <span class="c1">#preparing numpy array</span>
    <span class="n">np_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">im</span><span class="p">)</span><span class="o">/</span><span class="mi">255</span> <span class="c1">#to make values from 0 to 1</span>
    <span class="n">np_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="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">np_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="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">np_image</span><span class="o">=</span> <span class="n">np_image</span><span class="o">.</span><span class="n">transpose</span> <span class="p">((</span><span class="mi">2</span><span class="p">,</span><span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">))</span>
    <span class="c1">#np_image.transpose (1,2,0)</span>
    <span class="k">return</span> <span class="n">np_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="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">np</span><span class="o">.</span><span class="n">array</span> <span class="p">(</span><span class="n">image</span><span class="p">)</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="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 = np.multiply (std, image) + 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>

<span class="n">image_path</span> <span class="o">=</span> <span class="s1">&#39;flowers/train/10/image_07092.jpg&#39;</span>
<span class="n">img</span> <span class="o">=</span> <span class="n">process_image</span><span class="p">(</span><span class="n">image_path</span><span class="p">)</span>
<span class="n">imshow</span><span class="p">(</span><span class="n">img</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f9741a95470&gt;</pre>
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Zwb999Q3zZZHkuRC0MfInMVPvfbnLRlXTOu12Xmaa409DBdfhU/ftlv0hWwDw1y4MyZM2fOnDn76diHCjl43y0gY7epn9G6dlptdRY0ghXYpbSmYFLrMtJruvncqw2ttpm9sDKCgCUIgmEH4erZBDO0Tb1N7Mu2D/sYle0LtzMBEsX7omOFt+pqOYpCxKyP9ZjaaONSRQVVQodInkHMtwYBAIl4ClUJ5NSkdNcImLWQStPzHeih13ro4LUAgB8+TRGcCxepe5BMi+YvnYPxce5/9gx5AF259QCAHTsYy7/nrl8AAGzatAUAUK4UEKomCoz4xIOfAADcf++nuO8mtlEosf9r+7ezj6Y62M/Mh/O30hMenzireaAnfGGM73dtJ+8hlyNyUClzjF2dWdx26xH+3UMOQWcHEYRSkeMpFDg/caEN+/cSOZiaYLx+WlyDqhCY6RlmdXR2Eg0o5+lZj82S0zE9ReQAdaImvbmtOHAtswnuvJm6Bp0ZcgUaVZ7Pg/Lmx8ZuBQA8+hSPOTtPtMbuD0/qi4O95C7cfssdAIA9u3dqfrjfxOQpAMBcflTzxeti/ch67N7ObXMxnt9KnYjHYlHiCMoA8Y1zUmmNW9uToh56oXwfFyHCt74ab8IyamrmzSbhm3BSoxUxu1LW5C6pz/X224b38ztEFxphBtUHwNcM+y60dJXNw7GaGEqs+XyMxvOX7RvJXmjbpfolJn2prXAgQ239yDO7+bZVz+FKilJ+AM6mM2fOnDlz5uyDZA45WGKeB8T82HLhv3a2QvyriRBEYmhB5PtILH1pH/hH5BDGkI2sLkMkYQmC0NRYiLKoV7Yw+0JUd1NvrLdZ8Rpy0JR+NklSkx27/AXsMonSmNpqKllEjr0y78EE0cL36kEtADzJ5MZNSiEmKd7aglrpBQBs2kC2/dbNzNe/eJH57jUp/VlNgQ3D1wAAujvp9dbr7OzefdTi2rKTcszJgLHr+YVp+B49/r4+8hBuX09kYPNGaiaYczo5yhh7Ks4+59I8ZnGeff7kfZ/nsXtMto/IwMWxiwCAijIxSgV+bufk9ddfwzPP/ZjHvoMIwu23UeGxIU/WsjISHlGHTevYx9ICj31m/E0eoyoPO8/Xvp5OtcMuzc2QG5zNcKx7r+HxRjYN4667mY2xppdozeIkj12ZJwIy3EeE5LP3f0Z9IJ/jkceJ5hw//ir3WyRqs3k3pZyvO0RuRk4KkY1x9q1U4XwUCkyDyKY5tsPX3Yhde3i+qguc41qdiEGpRu5BLGVImrgGxinwW73SpseseL9QAD/WmmFh3qy/FFariitgmQwo64s2XKP30dohBpcjf3w5dim+gD3G3rW3Gs3OCA8VkYA3Oftl8itL5KijUu9h31ozpEIJ+wjC+k6zGC7HovLJUen+5rO+fsXQJ4ccOHPmzJkzZ85azCEHLaZCKGFosd1K+rKa0satCahRVMJW48uoBtEKYG0SlZdxETwfsRC1aG0j0On2YpGiLZE2Q+zEPKSwWAnXkpV6tWX7hBWaCfdbPp52RauaSIn1SShG+IX6oHzfepg7btCKsbStXY6x0lANgkYCCbHDoWyD2Tl65xNTpwEAnfJwBweJBOzavQcA8JNXXgIAdGT5/d130ZvdspFx/XKJfYvHmaOf62QsP1dhHDyreZ4dfSpU9uvSNskOtmlzW1UGQCJGz7E7Z5Ud6XXmy/w8k+D+A130sOUIY1h9PyZdhNHRU9w+zbFPTEzg1ZdZKOmavfTGDUFJ+Oy/xdjturBKievWbQYAjE8yy6OyQA/74EEiKMkYPe950z9QhkClxnYPHmCBp5s+egSDg9y2rIqOHR0c59SCEI8p9qGji3N4y6G7ON4+ohjjU+cBACffYpGsrRukQqmJmFMmyswcORiNBtEhT2qHQ3aOd+5GTOdnsUxdg2pNGhLguWjotVbla1yZFn5cGQB6Phgnwa7/5qVv26lOhlCgaw+Qy7F+3SY89RSzUi5eZH8RL6uNptZhq9kjO8q6v/Lqhk1PP1Ln5F03eKljtR6pna0m8trMarKDRb16mR5IUVmJAEszPiIIgiGywcoIQnO7SJ+jKPK7sYhmTRRBsOvFv5zfpss0hxw4c+bMmTNnzlrMIQctFrTErtouwrzoH5GyjUv+bKdxHotwCpZn3UbYy8tW8a1dCNnIjQBBrM0SNUQXwoO0tBm2rFoBNeWSx012T057ys/aKLideZzJaticD6kSBvS6bIVr8dmmShy/SMTZZl0qhIFvufQWi7UuGwNc75WDjoQyEqRVH6+bRkEdDbkHfoKeXyJJ1cBkgl5kzOPnXZ3c5+7b6K2ODDDboLuHufi7dh4EAPzoR08AAL7//W8CANato9Jg/8CA5o0edKDjFisJBJqPbBc93D6pJwZCMwolxUSlFVCrsA3zsMsVjm9uhrH0LmUaeJ60BWbozU9N0lMulzhPZSkq9vR14u57qaWwbj15Dio2iQ5pIlQr7GO97mtfoh2dWR5r9zZmErz0EmPyxQX2pZHgMedmmRFgpYtzndQyuG4f9+vLZLAwyX1NnTIu/YbJmVMAgIcfehwA0N3POd+uOe9Mk9ew68bbAAAfv+0jOpQ0CaTGWKrwfaHMPl2cICpQ0+V2zQ5Wa9wysgUF1do4dpqaEWfHiSShxjshlyYqsWaYCopVNTI+KRnHwHgdequKk1ZBMh4zLQa2d812Ii2//kv/SO0FeO011X64SD6HXccopdSmNCTELfF9qyopTk3NbgRxUKx6ZaT4yLIsp8sy41wo+yn6ddQ5b1c/Zdl276IrkT6Fz9xVhxXRO1imNBixAO37Fz1W2+2uINmg3aGipIP3QfvSLQ4iRpi3taBQW4uGDoIlIYnASIFhywCWk34MDrIMPLuu6l695YOm/sbK+4fXrQ80whTGSD9b68GsYGy7avur0FAgQl5niilp932MqXqe4ORv/JCyvLN1/TjU6oir+1bONyw1nDBIjt9b6WZfYjZ1W1SZyFHdoFkrraMFSVUPUT0sw3rs+jwO9i2ViSOfV+EkVfbu6zNC4S61ZYRDtrWmi4uGjgMsDpRIkTyXVXrghg38fGr6JAAgn5/SdBGur5VJZKxoLL2D28JFT01kvvw8f8y7sxIiqvPH79xZhjwmJ2Y1f4LhFVZo9HD8hYJ+JPTEnpnhD1Za58hEl86e54/O5s1bcced/GGtakFSKbPtmZot4DjHybhduxxAqcRjZRNssyPBtMujb1GoKJlhGCGR5oJmYO1WAMB+hWfWD3IxtjhbQWFR/RzkdZHuZB8giP/ZY08CaC56eteSLLp2gGTRWpH7Z3Ja4CUzGhP7WK9x/sYmGKYYneQ89uqcHjlEcuTarkHMqtDSyVGGKs4aAbXI+bj+yP0AgM994RcBAMff5g/5//uXfwYAGFeBprRqOnta0No9Wipx8ZH1eG5vvZEE0O3rGJb65ve+i7FxlZIG+2IhPy/OBVmixvH5obfB8Sg7N1zYWunqMP0yXIS/A/GjZRh7a6hvucaPEe+UAhmtHm3tRY+90vNnle758n7C0OWyNlpF5uyh1ySAt7HWLFQ9t1sXHk2Ct7Xst+4bis1deqUSDUdHf14u+Wuz7Llv/dYCrm5deo+hnyXmwgrOnDlz5syZsxZzyEHEPO8yCYerttO6Ym+mPUXELOyPcJVqSEKrIEkTqYqsDCPhhpiHJszQBvkIVsHi/CgpUKS5Gw8zXeyL8qQSCXpEC0VCuT94/LsAgP6hFGoVwrxTsxTKSYkYV5cQkYkUheQvedbJBD2leoWe0No+eunXHryFQxJ8evY8U/cmJ9n+3Py02lOxH5HLFmeqiMfoha1fR++zw4ogjdPzm6hxn84c53Zimt5ZpcLt+uTlvvEmvXAjRX70o3cAANYMEQIvl5Xy5rOPDcHJ1Vod5y+cU38p5pNOE8Lfv4fHSMWNFMj5qKhPeXm+ORVHKin8UCqrXHIXQxkWvkkqdJJKEhIfGpBY0FAX1g8T5i/qfDWU/1mQLPJcnp9nOjy1IZSirO0lMzy4lsccmKI3PqVqSY0Kt+/pooTz4OCIjsc+nHj7JBoevenegc3cR55tKsl+X3ctr7H+PkL5Nxy+iePMEikoyasvFFTCOSxpLonmAuc8lGxWWKa7j+dw/Sb2HbEq5lVS+swpkhjPnhpVv4kA3frRewAAe3aRUDmraEJHjn2b0TVXr/EYcQlWNUo6BzHeH9cfvh0AcOjAx3mcc2zoscefxNwsz28mQ1SqrLaScY7PkIBaiePp7ea8bV/LOZ6YJmozpderaW1TFaPiSO9CwtmKnPl+O382krLoGVIbOXQkpBo+IkOQJFhW1CkkOYZoRLQstKG3UaKi9lsWGjZrTTlvW/r5KplDDpw5c+bMmTNnLeaQg6h5ftuCS5e1ezSO5EXjbha/i4hZNPdY8j/gh8Ewbbes4Ip590ZMCpYrKb1DSwidqCs23aEUrD2KIY+soQeaiNGbu/8OchCmJVl77aFt6Ohgv//Tn/8JAGBucVqNi+woNALGrUgIWTAugsRhhvoZ77/9I4zXbtlIctv8DD3IsVHG+8+cYdx4bIxe4OQspY/Hps5j/34W5bnvXkoWD3SzzZkxog6L8/S6FhbL6ori4RnF4KV5fPrMKQDASy8z/exLX2Jq4+AgPcn8LMdfKlpMn2ObGp/Gq0ePch7mL2gfevabNzBFL95Nz3H7TpIgZ+fYt6efeQwAcOAAxX4S4hSMT3K8a0d4Djq7eI4mx5QKJ4SlI8PvG7UYCgxrIxAfo5kGKrTCEIK4XvV4KCueH4gQUjdkKc52GnVuV5MEraEW8RjHNCH+xLHjx7FlGz33mEg2i3kiJDmli37+s0SlhoVy1Mo81uwU59YQg7qEhRo1CVyJJ+E12KfuTp7j/n6Ov4fNI2fo0ORFvPkmCYhvvcm5HOgll+KLn/8sAODIYRJTZ6m3hK4MkafbbmaxrEee5LydH2P6aCDSaC7NMX76ExSsuv/uz2uMRFJ++MiPAABvnzyBhoSy/MBKURNB8nyOs6Z7MJvmNfbJB34DAHDf/byW//wv/w0A4GvfIg8ioTTLUKgp4o1eSojoylPaInYFij41osSGZuN8CdXTW5GEKAErRE+XTYfXJC0uI39bsTc7VJtU9zYIQrOdVsSgSWhdsbl3ZGzzypxJhxw4c+bMmTNnzlrMIQfLzGvq61jo6d0sxIwaEBb2aF2pLlstLmO6GoLQGiTz26znTJAlgLdqh1dDRuz7RIJeTE2e46uv0kN67Rp6wbu3MR68ZxvTze665ZMAgJnZM7j2ehYxmr6Hns9f/u3/AwAY6KdXtecgMwXGpsnWfvk1yuI26vSk0vJez557AwDw9a//BQBg5xamnW3fwmMe3Ev2+eGDfJ2eJELhK10i8BcxOEy3cXyC3vhXv8oUxC0bmNK3dRNj56MqtNSlmHsuY+WQ2VYySUQhZPtLuMi830V5tekUOQ5pxexTsQ7MKzvh4ijbWlwkWjEjqeFcplev9HzXrGGfTPTkogorZYXIzM1zLOvXk+/QqRTJoC5uwiKPc+YsOQ5dXRl0dfM7K11tjPYOlZYeWcc4dsmQhJJi6UJ1fJVmHhgkKtHXx3TCuQXG6I++QUSlUVdKpIopFYs83rp1wxheS0++prTAurJUenvpGWck7lRVhsyiMk2KRZV/XizpGCqipVS+rLI+LlzkvD77NK/R+Xnut2cXJbHtPrtw4QKK4i/cfIRZHCMbOJd33kaJZzTIGZieZl+3bKQwkyFKE0q/nF3gHM9Nk7PwsSPkKHzifiJq3V28zk6K03D8bfZtdvE8/JTGo1LSsYDXTkzck5LSia/ZywyHT9z3yzzWAsd18m2iHl689flh0udWsjnUDnsfLZrdZR54tPCQt5qS0ZJ927W5rHy8sfbb8qksLbMVsV1+3PaPz2WoS2TDKH8sKrf8fhamWtqVK4UAOeTAmTNnzpw5c9ZiDjmIGFdgYqkikilgBYesPHCYe2srRG9ZjC8qe9morxzrWlb2cxUuQtQMUWhcYu0cbbutmdaC4qCQsNDRNygn/MJPngUADPQwXp6RqNCBXUQLnnu+gLEz9Dr37rgZALBrM73ytdII+LWv/CoAYHqBAd0/+wsiC88/93c8ZozZCOU6md1PP/fYMwnBAAAgAElEQVQwAODEm8w1v//jnJmtW+i1ZhWL71Xsvjsn770LKAr5eOn5hwAADz/0KId1Oz3GvXs4joo83QVj7Wd4jGSSnnAqxdf16xmb7lW54HrDvDTFElWi1wo+ZZI53Hwzsy1KZRb7GR2jt9mZpXeaUvZCqUSPcO1aetK3fITozMmTxwAAM8r+qNeUYTBHT7m/n31JJHnOppTn35BssxdLYmFBegRJ9q+rR5oIWfYzDOeW2JeMSjGPrOH3djmYenatZuJZ9PbXriH6sVjw9MpjVyvcoae7CzlliviSbC7XrNAWj1VUlkG9btoTPPagBKYGerl9foEcBJM2Ngnv0YtEYn7y0msAmpyLzZvIlynkJbo0Po+ebs7x9cqEWbuGPIW0OCZz83aveprTCR2DwkopcS7qNc5nv9q75QYiKsk4r8WZWWZFTEzzmh6b5jUcxPKIC+GKe5yPqqpc1yRItWENeQ733PU57lMnevO1r/01AOC4MmiSQnekEr2CXHnz+bDUgiBollxu82CIetntSPXLPOtobv47QAzathntmz2DTWQtCpFEDumHLvYqogMrdq51PGFp+zbHilrbJ3OINLRvYFXJnUhhpithDjlw5syZM2fOnLWYQw5WsHB1GYut+Hko/GtFk9DMSGgWO2qNbZnyn3+ZAlZB3bQG9H5ZYi4tqogc82KhxPC7XftZjEyOIeQIY65Ez/PJ5+h5r1tLb2zn1sMAgK4uesFHDt+IE2/T003LU7z/7k+zjTzz3DMBvc2bDjIWXFlQLF3ZBm+d5LH8Br24XnEV7rvnQQDAoQPkHDz5JPuSkyLg4YP0tLuTRA7ysyX4aQ7kztvvAACcP0fP78JFeoITU+xTIsU+VVQ4KCHNhViMXlxPNz3jdevJpE9n+PnYOD1CS7zIdbCduuLhQS2GXAe3HVLu/+bNfM3PSx5Z+gUTc3Qds8p7v/Ygx1lT/vv5C1RljKuk84JU/uxcV6SkWJN7b7F6f87D+g1EPLol3ZzNZNUG0ZmpSXrjVSknJlJsY7JhhYc4hrhP7/XM6bc5/gmiQtffuA8AsH07kZjpSXrMr776irpYQv8gz4+hK1PjBc2DJKclH2zp7ObxDg2Qg9Hfp+JWOt8CDsKy2Vs2U53x059ixkHHAM9BNy9NjF4gxyU/XUOP0Lyy0Bo7z8U8x23ohGVbzMwSlfjxo98HADzxDNGsQAjCvfdTnnrj2p0AAE/8D8sKeUols1879gK/j9VRlTZE0nQupFaZ8IgEPXj3PwAAXHvNnQCAo0fJzXnhJbZVl2y0Pcotzh1XffJyxRREV3/wvFOnM/TqQ3LW1fM1Q+XY1bx3g8e8VhSgyeV692OI8iGWlXpepe1owaaW/i2rzBfd+cprJDjkwJkzZ86cOXPWYg45eBcWZcq2IgimVNi6jSke1huXRxv2DLUIF8QrKy6GyMISka3mCvXd8VZrVohJqnNJlTWo1+mFnDpPT/Hlo88DANb0MS6aHaSntG7dEGJSeDtxgiz7kaE16i/79NwTz7DtOLMMrruGefwf+yhzyGdm6FFWpOv/cw8yE+KGQ/Q8H3uYBXpefI5e6cfuoPpcQRoD42XG5jPdDWRUp2FwiN7YvffeBwB4/jlmX/gePb/1G8gHiNXo8fb20lstK8be1UVvNZYk+9xUDo+9QZSkXhUPYis9x3SSWQC+n8DMDNGJWo3e6NphogsxxdTtvBYLyoBY4LjXbSRa0dFBJCGsc5DlmKrVWst+9brltyv/X+qQnbl+dOaIviR0bU2Mc5zjE2TRV1SsqTPZqbkkKnH+HM93Tw/nr6+bcfzCHD3qt15/XfNIL/bm2zhv3T0cY5d4INV6gMUCx19R4YlFAR8T0md46egTmie2df31RKUMeisW2LeYcXl0I6RT5Cx0dnK8d36MXnyQ4P02P0PEIFlhX/JjxzA9RcQkLN4VqSVw6iQzY555/mkAwMatPO/X7KMWRSXg/PUNcl4OX0t+Dap8n4zxtSZIyRNakpUmRaGcRmWR/a4qKyGb5bFvOsjr/caDPw8AmB7jQJ98kojB2BSvOT8uhdHAMmssm0M8gnfgza8W31++Q0RL4H1EENrVuQmRAL/l5VINYemWzZLHK9ePeEcW0skujSC07dolen8pVAFoRRauFIbgkANnzpw5c+bMWYs55GBFa6eeZV+31j+oL6lvEBboCjf2w++4j6lsRcqBRQ+xbKVobNRLa4v7CEIN8HdrYXTSxqdshZg88GKdXvDLrzOvfdtmVjnsVUw+mU5j5056WcUSXcNz5+mdrhumN/X6MeoXvPQcMx9uvZWM8duOUId+clp57PLar93Pz83bf+YZek4Hr6FnecNhMsQrQg7OqWLisNeHuHQHFur09DavswwHevZ2zkbW0bPOxOjFVivKZ5+id7Z2Tb8miPvFPG4Xj8sjTHF+0qoj0dVFJCWdyKGwSJRhbo48h+PHiGysEQs/laJHm5G2wsQUeQ+NoEttKWiui3JqivHvfF5VHvP0gj1wrFDNgXSSfejvG0JDmgIzysZYWDTGP3fJZXisuCpglisWKzVYykoS08vt7GSfOrJSZ1SFwZ8cJZpjdRAM9Vi3ZivKZaFSQtBy0lhIKzPk9Td4fotSa/zIR8T8V82I2WmOdzFvXAvu19VNlMJThcScSjzPTKtipjQ7DuxjRk287qOs+P5gL1Gt/KL0KubY9rPPs+rkt779dfblo0QGvvilLwIAHryfVRsnJjj3E6qoGdex0or7V6SL8ZUv/xIA4GP3XAcAOP7WUTz3NFGXl17gfbBvJ6+HT9xLxCCb4j318vGfAADefIucg2qD9yASqr2gx0n4QBdAufx5E7EAaO8jtmH2t93u/bPQG1+1zKJtT1v+GF1ZnfDKmCFP9t7qfkQ6FfblSh77yptDDpw5c+bMmTNnLeaQg5UsWFLhcAWLRdCBWJMYsEQfu5UdbNUUm1XAWqspRq1mXYks35oVvtotnT34l8lrWM1CXQfl8zak2x4ornlmkkpvT71EbYJhoQKD/Qnk5K1v3UKvrFKhJ2wKf7fcxBoJ45P0uiZH6UkPKV//zpupMlcpyhOu8DXpMZ792c/QC9u5nQz84TVU95sZ43FmxTkoLgQYUMw7pvhkSiTy3py8ecXBfZ3YhFj8JSWdJ5Icr+kYxMQsN+G3zRs2A2jG1tPplGZQsWa/gq4uMfxPMk7/7LOMrd96GzkXBw+S79AQ/yHby2NIlBAJoRGW1z02SiRmSnyBICDPoa4LJ5lkX7OqJZBMBqjVpDtQpWeclGebEjegXOL81OrKcEjyfWcPvXFfKnx1VQpMKFsjqzg/4jz40y+/CAB46SV6ux+7g0z7Dds+jqRQlrr0DRIpHmN4Pfv5qS+TK1BYoFc/MES0xgfntqj6F/Pz7EOuRyqePo/d39ulsbH90xNEmGbrHPvafbyuduzai0VliGQaPEaxzuvg5NgpAMBrx+nVb97MjJrbb+E4RrqZadItjYpA85Kvq25GH4/dqDCL5aJUKi9IvbNvDfUQ7rrpCyjP8N7pVAXHX/wUtTd27mIm0BvHiIC9eZJcg4k5tlUV/8fTuUCcr/EG56nWMC4CvzYEoaaaFM2sKg8xPaus2qg92EJtBOM5LdNwiTzTImZZXKbxcikL/GgNhDbWfOiuaPWwL1H0V2iv3i8DYJc8jn1/ZVd/NbXGKGcgyvxaJrAY/nHpKrorWTvk40rUZ2gew5kzZ86cOXPmbIk55GCJeZ6HmB8LV3TvZB0HMNfWNAJWq19gVeQaDXuVtxFRY2zWYGjNggii6lxLe3OFYll27LBSon0htnsghvXrbzDGvH/3AQDAxrXrQuZ+t8rh9fdTt35BseKhYXpPdbGsL1xkVkOHYus7tpDHMDHJ2POiagUcuYmf53KaH9PY1/ylM/RyU/Z9vIqqPMKygutBnMhAXJUBbYVcLNAbyyUz+p7jNE2BWuhBCRHQOe7vI9qRzdHNr9V4EsslZXuk40u8Lu5TUQpEqcBtsml6fKaHMTMjDYaxcW0vL1ex9KEhzqfF8K2dVEoIQ4x97JEKYi6XQcM4AzqfyZR5fpyBwqKqMUpTIZ3h9/39bMO8ElMtbBT4QTpN5GB4A1Gdjgo/T2re9u9lJkoumw119hvKsiipPsWwvOl1O6khUVVFy4Vpfj87zuvGVB5Nq2FkPZGpICY0Q8hEqcRzPi+tgqJpOawlZ6G/bxMqdbZdrhJVSKal3ii1xv37WM/guoNEufbuNnSG+03qHFVq7FunNBjiqr0wK27H9AyRmG9/64cAgJ5+8gh+5Ve/jPVr+feha+7lsa7nsQqSLzh5RpyEV5mdU6rxmAlxDeqq+2HZKeUS31v2QyIhtCtp5/qDGehudms1KcD3uyftbbV6D4jUUgjrOFxupy/l9i+r49CKjFz2Md6BOeTAmTNnzpw5c9ZiDjmImOd5l40cLF9J+uFeq+0bxqnC/NxYy371UDtB2wchhKD92h8htkrcaTWthSBoIiE8WLzl2BaLTMgbyZfJCH/tBLMXdm7ZjY0D9LIyuU7tQ69qZpaez1ye6noZefqFItnXc8qd75MiYiqmvH/Q43tbuefjE6cBABuGyTm46RDjwaOz9LTfPEU+xIbqMPw43bCq1OJ6avTWOrutEiI9/kAeYaVi2gPiIIhrET0HNaEBceWvN4QYBDXOT1bs/6DeQLnIY2/YwEyJBx9gHnteipGvv8rqeiOb6DnPL9Dr/P73WA9i8xZmf1x/PXUeujrZttVQWJAuQibNvuZyHIPVbEilEygW6UXH4oY+8TqoiaiQVqaEee2JlNU34PxU9LkhB0kRItaNsG87dmwGABxUjYIbDjOTpKH2a9VKqDJqqEzCRDT81vsmqc/T6kOhOKf5InIwMCgNBfEdChUpLBqCpAqa3Z08x1OjvO7mpUCZSpcxp6wEi7X3qZbE9k3kf6wTOjM/z2vq9deZKbBp47qWY42OnQMAZFSjYq7Ea/Xseb7Wavz80AFmXqxRZcqebBeOHLpGIyZ6MT3DPl1Uf187Tj2Qi9NEEAKP59tqMhhfYHGB9+r6NVSIvOEwUY/jJ1hj4uhR8kCsemWoD8BW8YGx1YCDVZCPd6zV8C4sfO634YsF7RCEVfvenpsR8hmWlfOlteogXJk5cMiBM2fOnDlz5qzFHHIQMc/DO+AcmAe2fKW22totuo8X8ZzCKFYIHays4LXSSnp11OLSa8LmsbVd1VTIlCNstRdq5ZbP3z5Pb/3i1Fms7aX3tVik19g3SC9satY8o3MtR+uSatzEBHPFG1V6hrkuxuJnpXD3gx8y5/z0abLQP3E/azZ89Eay3Ccm6XE9/zJV7fKF7YgnGZ/NyJusT5R0bMXl+5npUK3w83KBt0VC+eoWz4stmzads0gsPiUkolhQBcH8AspFIgHZDD3doUEe0/L2T7/NrINUlp/3SoVw3brNAIARIST79jF+b9yTTIpe7fwcPeeGLphEshXdqVRLYb2CiqpUmvfY2ZnTe35f8Ba1rzgFasMY70E9rv2kUaBjGZIQ1/WQVqXAOekpJLLZ0HtqaBtTUUyoEqJlMRjaUC7zeqlW2UY2K3SjwvmcmuR1YZdoSucsv2D6BkSsNm1kvYd0ultjiCGryp0lcSwK0jnozHKf/BzRipkpZdIMEQWr6NgT0nUo67rJSUHz4gTPyYIqQMbiPKcH9jNTYt0IUbFsso54nOOanuF1cHGU/X79OO+lV4+zDkMVRNQCn9snpeewOKtsD6mU/uPf/u8BALv3EEH45//7PwUA1Cz9Kcrm/6An23+AbFm2wbKpa53TsJrv+zjFhjYsQxaugDnkwJkzZ86cOXPWYg45iFgQNNd/YZ7qymGeprcffu6F2wQRVCH83OJPcuN8PxLfl8WUQ1yXupox65urUbZfb1j7ptrorQpbrBb78sX49uRK1jQTcahyXN3qO4i1r+bmK/RuLk6dx75t9E4r8gB7xC3YsIG69OPj9K5KJXpdHVITtDz2mryzZJxebVcHvx/sZQz5+HHl7IvtbtkAFWUv5EvcP5FJIKvKkMWFee0jVn7AvmWkS5BIE72oiekdF3mjrtJ/Ns5EUvNgXASdK0MaKkXOz8I8vd4gqIW8hfDYcuUCqRYuzHHci2K49wzQw923lxkgyVRrloPF7Hu7mSmRiFss2bJe2H5djPwgqIf52560/k2NMSu9h2qFn/se26o36KUa0JTr4PyUF6WcKVk+TxoMNj9lIQUFzbfF5mP+Ei0JIQWGZtSVSeFrXJYRMDs9ofeGjKhyZC2l90IeYnxvFRbPnCYnpVrm9jt3UDegs4Pz1UASfty4EHUdg69To7yO8wuM7w9LGdNXRsT8PBGF+TnyRYaHybmIJzkPBXn/nZ1EDJJJHjOV5Lya1kOjVkS+wLZKmrMz56Qy+Qo1Is6PUjvBC681nqtF6TykAmaIfOETvw4AOHzoVgDAt77ztwCAo6+So5NTlc8wTm5VCYNY+OwJVVn1/Ki3i4EbXyryXLRMFC9mmVYmCGP6KJdi40frNNjnrZtZG8bzMf5Uu0yCKNpn/Jq4Z7lXen4aTyDwQwTNj/C6lj02lyGwrfNlfWlHDwunw+b5clz1KOIc7cPSH7D3aA45cObMmTNnzpy12FVBDjzP6wfwGQAPAtgPYB2ACoBXAPwJgD8JlrjSnudtBnDyEk3+lyAIvnil+tes1BV2YOlLM2NAq7Yg1NQOluzUWlMhXER7Fr+W6mDDsg/kGciVsqpqYS6+H4u0w/d+uHLWUX0gqEeqpEWs3QLeul4JTCmNx8ik6DF6NdOKp1eXUm5+FfR6F+S1vXLsRRzYTlZ9Urn/45P0FDPKiR8YJKP9DdW2L9fkxSrXfKiPbSalPrd+hCz/W25iVsL0DFnr8Tj7FlN8O2aep8fjDa/fjM1bGW9+9olH2X+x9nNZ9sUULrdu36n35uXLy5CSoOkEIDDExLxcvl+cp9c/PycNA+XaZzIxJNKGMnkaV0ptsMn5WW67oDY6++gRd3czrl+ucG6nVVOhQ/Fy80aNP2CeucX9TdWx3miiCElpIaRSQkAEfXV0GHLCvuULRGcCoRDm5afS8vp1bRoq4sdVN0HXX0YIi+kdNHN5mvUojMldE0KWMM94gV751DQRpskpqg3Oq7plj7gKmTTH7ymjAhrjQD+9/Xq1U/PBsVXL7PP84gIWa2xrcAOv48lJ8j4Ks0Q8Ujn2bW52TvPmabtpzQePPTy0mWPQPTs8oHs2xms5kezWvPF9vcFzOTc/g4X5Ke3LuT59jo+5l187qn5yPCbL2pC+SUec4/vU/VQK/fitrMXw7W8+AgD4v//4zwAAeWlXpJTFYtdAk1gVrKrJ8tOwpges51n4+SooZ6gu2Lq9ZeIsOQKA5nN32fGXxOxXRQw+gHapTId3a1crrPA5AP8GwEUADwM4A2ANgJ8H8McA7vc873PBchzqJwC+ukJ7r76PfXXmzJkzZ87+XtnVWhwcB/BJAN+KIAT/A4BnAPwCuFD4m8h+LwVB8AfvZ8c8b4kGgWc1vyPqVG3iPkvrITZXvhH9cW0bag2EK177Xh6gFrKJhKnuKf6vWGwsZtwF00tQXK8BeL6tmtuoKK4qX95KbS4v0qvp62HGQSZl3tesDsPtbK8Tp47jpVdZ0W5omDr0CWnHV6SMt3YN2zp2XPu89RYAYPMGfj6jAgi9ffSQ4j7fb1hH7/7eu38BANDTzXZNEc76sm4D0YKt2/Yg10HPbVGyc1MXGcft7DCeA8eRy9ETXLt+QE3Fl05DeE6Sodocv8+Xpfcvj7NSNmVFcRFSPqzcQlznyZcHaO8NpVgwRb+iJPJME943z5HvS2V+X9SYpqfp3fb1c6ydquVg5zoWj6OiOTINgVyOHnNC1TatkEejymN1iX2PBscX1HWN+XGNz7IUjA/D6yQeY/sJQ1x0i1frddSt+AMMOTCugSEIUkZckCLiPBGiMWW32DnJCZEyRURRT8J4/jopcJr2RKNunAT2ZXxiBslOjvOi6lS8+jwrI27fQB2DQlkqjmXOrakRzkyzbzfdeBfbbhCVSKhva/uUrVK2GhScj44eITLy5k+fOYupCepb1IQmvPIqkbSFvLgSOw8CALr7pJkhlc+tI6z3cN9tn2efLnICXj96CgAwNMDslh7V6JiZe0vH4Tx53pKHgD2DouUIroL5el42IvF7QwiiSEL0fVgPIvykFUGwSrrLqlQaP2AJahBFe38aGgrv1RpXjnJwdTgHQRD8MAiCbwQRLCQIglEA/1Zv7/ipd8yZM2fOnDlz9oHMVlCZsdARXWojnuf9FoB+AFMAngyC4OUrefCl61C/DSs3+n0USVi6kxdFBrSmtZhYzDemN19tuRSPtS7nrbKZ1a03dnpRXr1VaUun4qjJ87MYaHRsIUciwoswM2+sUOSp6MjRe7/5CCvG1Svc75kXqCWwWKXHXJaXViyV8OJLVHbbvoNa8Qf2rAmPDgAdnaqhsIN6CGOPnQAAzM4yBmuYR18/87djYoKnkvSgrjt4I8cUU2aAYtT9ijXff//PAQB27tqBiQv0OmeliDetGHKjwfEtFrhvWvHr3gGq1mWFLFQq3E50hpBRH3rISYv361yqwlxaegcd2RjSWV0PmuqKPNgOHWNoiKxzi+9XVRHSuAPm0Zjn3FTYFMfAKiymjU+gehBCahKpVKh5YJYWd8C4FDPKtRe9AVkCC0hJx8CyWAKv9bqpB1FuBr81TzQhzoHn+6hF1DmrVZtbU2fkdTwpDYFxvU5OknuwYyuvl15xDiyEXJNHbZklqWSrLoj1yTzyaqWKnizbeOYVXqvHj/FRMtTL/malmGhtH32NKoX79l7P7QaIMJTLln3A8XdISyGZUkZK3OaHfejtVRVLzwsVEc+cp2dflnbIF774FQDAwUOs2lnX47BTOhkdHu+f/KjqhVQ4wJ//DHU/asHHAADf+f5fAAC+/0O2b9dLk90PtHsOvHNrfQ5GPc96VD02fCAtvSYilQ3bIAbR7ITLrifTSm1Ac8zNe+PDwDH4adgHanHg8Rfyl/X2uyts8nH9W7rPIwB+JQiCM5d5jOfbfLX7MrvpzJkzZ86c/UzbB2pxAOCfA9gH4NtBEPzdks8LAP4QJCO+rc8OAPgDAHcCeMjzvGuDIFh8rx3QOhQAUA8uHYSLekHcUJ5dIIa/x/hizOcr5K3mMsx9vv4g1zqbhqhD/+JLXOG/fOFH7IN3CgCQynJoR274KADgul2/CAB442WyuJ95ljzNfPEFQHr6oVulAYQenRjhtVA2TZkRYvybN5dOMOZ85OADAIB7bvkNbl6iS7lvPb2UQpXs7XOTbwIAJkfPYbiPOd7pGD35wAqoSxPel76/1Qw48TazEcbHydbu7yXSkFc+dyatrA/FpsuBcuiVKWGM8I0j5DgonI6E7+PcBOPWZ6QimDdkpUgvM+vzGOfOcO43bqYe/aat+zR9RACqismXVKYyl5b3EotoC2jaYynz7gOgZggQv/N91TPo4LGHNtJLhacMgTLnNJGlrkOgPgSGGBjnJMF2ugbp7cYyqlKpc2+590EAeIE8eLVRyPNYFlMvLdg1yn2KDfEhxEmIJ1QZVOewFlgFQHnGqgzoK1vB9N5T4iQkkwAqSzJ7AMQCu190zGmiPFNneJufeIWsfdOi2LOdegVrBoi01GHojbgK8601GwLwHE9LifLUBV5f2Uwnert0jWoc6TQhk9kiNRIQ5zV59jSvn/VriBgcuIZcg1qF95FxdNKdqkFR47y21i8AyrreTEFzoH8jLnQRtdokHYJbHuC9tn2YdRjeOEoeRK3Oe+ug7v/KAu+PYxeI3r197sccd5rHrutcn3pLNRl0LgNL/F/qoNdNbELPLN/EVITqCMxtagHYc1FPS7VdV2ZRQ255oyHeS8NqldgL5yuWMIXVEhphh1RVNERe26Gcrc/ekO21Ci/AquA24YtWNG0l1KA912A1pKVVrGE1ROKSCQde65fWpSZqvVQn4sqwDj4wiwPP834HwO8BeAPAV5Z+FwTBOID/KbLLo57n3QPgMQBHAPwmgP9jteMEQXC4zfGfB3Ad3+nCs7LIbU7qpWWIa637eq03SCLBG/HwdXzgPHj3lwAAe57mw7D+NT6oj74h0ZwGX4d6dwEA7rydsOGe7fzBiyf4+tQzRYyXTvEgusmNcNbQD5IX6VvS54OpIlJcrMa+XX+QYYQH72Wa1IgK0QRl3vTbtvDhmdQP8XyJP2iLC9OhVHFWEGtcaV/lssrkCj7ukUzwvv0U+/nbv+H4z/mTOibnuCpyWD0QIVMkOStAYzBydxdh1wCcr0q5htGLXECNjhKijgV62Ikw5mf5kJ8QCfD1V18C0CR1xVN9OhbH5OskmgBT3QSNdG4tRTCmB3GpWESpwW2NpGcPa1uI2YXhx9hWsUySZDbLc5FUmEA6M6FAjcGpOcUAAgkc1evWnhZC1Tp8PWCtrYV5/mAuLhLaToQQrZUBFpFQBZfKZSuPbYsipY+K5FXIc4xxtZOTsFXcCI+eh6QkmctVS8G1e41tzImAeP48S3iPSgTo8CHemps3czGZ1mKhVGV7ORFYs1mL/fClUNSDeU7CVroNOzozYZrn7l1KYY2LYKv7Y3SU13NfD3+Ib7v1Dh5bqb1jY2MaFtvetIUhsESKfTM55oKEvuxxEdfCpVKpYts2Egs3b+e95CV4n5w6xr5UVIp770GGujo7eezXTnGR8/hzBFgff5aiR2mVI/eURjlb4LmtWUxMnQjLkNfq4cI1lhCrM2q2gLNJNafIN+le3ZsqMGXxN1tEwpOIWCg4pGYaFkrthqeFCLzWsuLtrCmwZDnc+uLSNeWuiEVT2n9W4xAfCBEkz/N+G/xhfw3AnUEQTF/OfgEDtH+st7e9T91z5syZM2fO/l7ZVUcOPM/7XQD/AtQquEsowevmtHsAACAASURBVDuxCb3mrkR/gkZzIdhQSqCVU14mhrRiA3rxTWzEoDhBupIgLuS5Qn7qyScBAD0dhDh372Lq0pc//ZsAgB/8kB7FT15mOeTnnzgFANg68ggA4IbrbwEAPPgJpvbFYn14+On/CACYK9BjjgkisOI1CBe89FKqFY6vM0sv/vD1DHXcfTtJfZkYp/bkWyQNDvQR0jVZ2KTgw4EuQuADPV2hbGlChMviouSNS+ZtGzGTfdu+ld7bjs2E8osL8k4Fp5vXYsV9LA0xnTNYUJ64Uj1DjM6roShJ4oFe9nfLRiIgs+Ocn7kJzZMIenMq5nP2BIs7bd9NdCcpoZ1amZ5gQWRQKTYjaYJEYVqUeVqxMIWzVjUiFY9lyEFBhZkCFdgxmLyvl6GdpDzjcjnEEzV/fJuK87pqoHVeSyWTW46HAlEFSfVWVMI6SgaU/xcSLE2SORAkW1dYpSrEJKFxhylfCaVMpqyAlZEDvaasuFAq48yaCNKEihZdGGWKnxHoBtfwmosJeZlfEKlUxa4SoRy5kXFNTIfnKKUQz9phXgMIPFy4SHTC0KhMmnNt1+aeXUQpNq7fobY5njGRJGdn6cMYiTQtifC163gv53L08otlm2f2sSwkIZvNIqE5WlwgyrAoye1kwPN5zU7eF905fj6uwmJPPPsIAODRZxh9zZd43Vx75HYAwN59vGZ/IjGlY6deAQDMFS2tlOEMwEc8YWWzeV0Y6mQ/D7G6XRH2DAvl0rSfkMiGiWrFWz6vBxxbI3TyLdymezvIwDeiLSyFtzUpPEo4bITl05cGghGmMrez9+Lk27UYDV0EoZDde0MQTABvRXsfRI5Ws6uKHHie99+CC4OXQMTgnS4MAOAmvb59ya2cOXPmzJkzZ5dlVw058Dzv9wH8zwCeB3DPpUIJnucdAfBiEASVyOcfA/BP9PY/X4l+BYG3hGNwaWKHvxLnQHE4Sz0KeQmKr/nmfVbY9tNPk1A0PcmV/wP3fQoAcPjgZwAAn/8EEYStw9cCAH785DcBAN/4JlOUYkl6nIevJZHp43d9FqkcPZXHnuC2C3muubq76RlV5PHFAnqjGzewDPChgyRBHdl3HwAg5RExOHOWRD2Twc1ZwR7FdzNWeCcUboqHi2sbZ0Xek5GZrNyvcZ8SkkG+5WaSvc6fpGfjm1iOFUwRaTLu00uJm8ehK7mkgks1SRp3JOK48QZ6Udu20RPs6SYv4YkfPwwAGL9AL7UjI6KmZKBPHH8DADAwyFjyui6mj5XlSYdSwOZhi+hYkGxySmJRqXgcdXmdNg8JkbfMmzcrFBhz99SHOc1TVl5oKpW2owKgsBDQRCk8GCLRWvq4WC6i5MmDE9RRLBpxTgRUeeVewwoRcV/jotSUqpeWbLbRWctFbp/Nsm8dEigyXkAIoKAp52wCUeaflIRinJdA1dQUHwdr1jDeb6Wd58STQIznqqOHaJcRs2y8+UWRLMtKzxRqFhfnobhYwKtHWdzIV6y9K8vzu36ESMHI8Ab1X5LOEi8qFBY1HyKTqjBTUUWeJsZ5DnMq+GVW17mqKXU0kYjj9GmiF5aqmRNKNzTEcWfED5kY43zMq1CT8TkOHDoEADhxSqJhPezzoYMkLh48TCThqRcpHf61b1FWeUxCTulkAg1DCCJp08a5CgXWwni+XfnGn1ExpBTnsSpOT1koWTrF+ckpDdOI0IaWIVZZ8sg1lMIQAzuo8RwMObMetKZHBj8NCSdDyBo/hWNdRbtatRV+BVwY1AH8GMDvrKChfSoIgj/V3/8bgL1KWzynzw4A+Jj+/v0gCJ54P/vszJkzZ86c/X2xq4UcbNFrDMDvttnmRwD+VH//OVio6QYA94PBrzEAfwXg/wyC4MdXpFcBmdhhgkH4R+R9xLwlG4YkWnOXtPpulnDm69Ag5V19pfmcPk2P6Rtf/xb3KzPGesN19KTvueteAEBPP5fMf/P1PwIAfOc7RBC6soyjb1v/Edx7J1MMF+foKb70MnkNH/84vYjBQbZ97iwzAnbvuAEAsH4dMyHyFyVEM0NZWZMf7h+kZxWT13vmHKUlzAPt75WH0JFBOmXlaU3+2UoIi/muoj5ImkCOYsRiPMcC7j85wT4OrWEc17LDxlUWt6tH3lnI8WDfkil6KR587N29Ucfg6/QUUYmtWyixfOEMkYP8LD2+DsWGpySHfO4C52Fow2YATbZ5zKSwVXa5pCI55r0u9ZIXFVy3/lupbUNCDHUpqihUscTYsmU1dOkcDAwyg6KkzIGUihuZ0FChpPTCsL6OcQ/KiCt91DgAJaETJWVpZAdUrCgUh+LnQWAImaUHRgSGFA8tSSyqS1LXTRnyplCNITp1K/utebDyx+fPk/9hHI2BId4nfX0DGrfmNmkle9kH4wlYr8rlguaR7U5OkSfgB7wu4olciF6NrCdXZv0IH0t9XZLwFqdgbo7eunEzRkfZx4T6kFFqonFOypqHRXE7EPIglCWjZ8To6CjeOkEez5pBciH6euwc8br3hSTMTXA8L7zM1EQvxevic7/AUs35RXGbLD1X/InNO7YCaKaVnj5NvfI3TrDvczMTKOn+DQyVM2GpSNqfiVzVIwhCMsU+lmLsY3mR56i/m/P5wL2Urtm1nXyix574AQDgx099je1hAjXxGlIx9ttSlBuCK0xe2zJlmryFqET8Stp5749FOQbtstcM1fLR5gck3J+vUbl+AM1Uzzbcg2ZXrlwZrauyOFB9hD94B9v/BwD/4f3qjzNnzpw5c+asaVc9W+GDaMGyP/Q2GmIKyatNKdIgXOElWzcNF+Fc+d10E2VRP3IDkYGnn6B066M/opf/g4eJIBhH4fAhygXfcRuzE5JpekIP/fDb3E+v8du6sHs3V+gP3kMEIa2c51RAz/CaLTfzdTPbjuv7uBjv81XyH6oVej4J6R5cGKU3W63Rozx1ihzQmRl68du20kvZtX07vA55l2KJ1xS3Lki+dl4aAbbattLUlRJfe7roSS0W6UFdvMhjbdi4GQBQr1n2g/Lcu5S3HdDjMO+msFhCKtUsgAQAmTTHc+MNPAd9yr549inyP5IVeopbtlH6ec06HrMqTyqpzIikPMdKzfL7FWNV1oPl93vwwsJK5n0ad6CkebDyzjPT0opY5JwW5RGOjBD1WKOCVYl4q6yyBWEr8qwLi+besf0gCJAUymAiNMWiaUFwG0MKaor/L4g5b15Ll86J+WYpcQxyQodK8tattpJC8iFa1EA95EIUFlWSO5lR/3iMXXt47Rqy1tdDT3JwiOJWhWJrCWOTCg+RBMmIm3bD1Axj+fMLRIG2b7UMhM245hpyC7q6c0ubhNS0USiyb+VwfkxjjQPs6CCSFpa+hnEyhCxZuXW7Djw752Xtl8aRI7yvU9qmMMeoaaXB637mPFGr2QkhbBIqWsxzPEN95BgcPsCshkWVtm7o+bMwzb53Z4m8fOFz9OKffIachm9966vw6xJqSxFJKSrzIS5vHSonXdf1HZemSKNumUjiWWm81+4jEnnP7Swn/Yn7fxUAMDXJiX3qMQo7eVXpgcRjyHXwPJcLyrqR3oEfqunTLkXod3ZlzU21M2fOnDlz5qzFHHIQtQAhRGCIQFN22GKorWU/LWshCIIlER+Tw+XK3VdM3Qssn5uef1yKZp988MsAgJRPT+CJZ4kcfPPvWLXaj3O/O25nRsEDd38OALBFPIEfPkTm/YvP/R06lPu/aQPV12696VYAwHPPEp145nHmPu/ZQ9W1/n72oUPFgbZspYc4SccI4yoH/Poxeu9JqfY1LE9ZBYjycrlSmVRYlKhRa2X2J+Uh1Sr8xLgDpsY32MdiNiMjRDk6ehm3fOM4+z43R48qJdVC81JNIbChtIViScep1cLiVLWqPDm5iDEhJYa0ZLL0XhINbj80xCyFgkjVRSkFJlWCN0Q7hFbUlL9elRxzuWLKeAlUKtzXxAIh76suT3p2jojB2EXJdqj8MVTK10oPmyxwCGMp5lrXPFvJ42rFYvqSwE00wpNgOgdhTDyiibCQ5zHHxnhusvKQ+4Z4TadyptrI91PT5Grk8/TWMykiMYlSJF7sNVCzcUgh1NT3hgaJiKy/k9ya82cpYVwSmqEwPhYk8dwrLzcwuV1lFExPc/4uXqTHPZ/n9ZLJ8HgbNpKz0dudgbqLYsFQLZXBLkrW1zO5aL6tVHjs9RuIYlgmRTrN+6epShl5rIbFsfh5bz95DyMj/aGg35tv8N66eJ7nZHyGcslJcQ62blD2wSEih8jQu8908D4xlcNulR2fk+z4hFRBPV1vfZ1EEAIVT0sihRtupKcfJNivHz/+fc5DSdyKlMW5Of54QoqqQg76eskHuu4QUdBPfZJlpPfuperpmDgaf/1X5Ec99cQPAQDrh3hvf/JTv4WuXnJq/uKv/xIAcOLEqwCAdFaZQEIQ/LBwlMG2rbLK71Ws8IMgdrhiIb+/bzoHzpw5c+bMmbMPnjnkYIkZaNCsl2KrUX/JFkCg9X7McvCX6Nxb7NSUED3TCpc36WnbF19kccjFaXo099zOchK3HKHn1L2GHuFjP+Yq+7s/+AYAIJell3L37XcCAG66lh7Fmh56Xo89/j08+eR3AAClIlGGNUNEEA4eoPriyRNk5795nMzl0kau/Ks1srY70xzDmhF6Z7Ni0E+JUb5BnkJCHtOJt+nlFIpEGG6+4Ub4VvjHGM5SwKvKBezs6NLnUJ9OAQDKi8zaqJe539Aw2xkZIVKQz5tHzP0a8tZqYqvHxXGwc+j7fphVEChjYnZBKnRil/uKmfcPcFwp67OUHxfEB0gay79iNSpMQVPXhWCMWdUHsJzsnmwXGqLVl+XhZ9JWW4DbWObA7Jzy+BXnLUhDwLzyuiktqp1YolUZspkVIkQhzK0vQ4cIy1sbcmDqk56u3ckZfr+gjJI1I/S2+1VWuiiFyHNjjI+PK6PEcs8Hu+mdlsV/8JU33/AaYX8sW8N4Gz3KOpmb4TV05iw93vUj5B4U8vTmLXvDtBZ8KSSWhZScP0cv9fhxanP4cQ56eJj3R0VZHhcuFJFfYJuW0VCrSslQ10smazoN7GtGOhimF2Ilvk2roqoUkaClCA7CbABjt09Mi9OxMIf+Qc5VZxcRgGpFcX+hVbv2s1hsh7QC0uJo9A7xGEUdsyaUpibehy9EJhCSZOXbx8apq3D0RaKHXiOOXTt4jLlFth3zWcI6keC5SCWlaqrr29QpN44QefzKl/4BAOCWQ3yG9XSyr8dffxEA8Fd/+38BAJ5+ls+y/aqj8l/95u9xjNuO4KHHiJQ2i8Epy0vIlxVqQ+tLkwfmGa/j0sUV2hdRsnauInRwFdCBS5lDDpw5c+bMmTNnLeaQgxYLUPdqzXxTlRkOF6f2uSmG6QurSud5TZ0DBFzBe2HVOb3o+3KdXtvx06yZUHqYHs79d1EZ8SPriQxsu58lar/xKHOCv/MoEYT0ALe/fh9X4evW0TN64NbP4eGXHgEAvHac3sH0PFfja4bIaN6yiwjBhOLbY2eUnzzNcWzZQg8xO0Bvbp2qMV6zg0xvP8kV7tuniRi8cvRxAMBeMab9pI+qPP+K2OTzi/QAZhfpVQ+odkBXj6o3SpdgYkLaCl30lDtK9Fp7uulBejGrZyDFxJQY91WtupXvLwE91OuVsNRyQjHfWEylZD1TXzR1PeXri73t+zxWp1XtMNVH1TcoN6zeg4gEGXFSFvi+UlBGRaKBCkx9Tt+J71DxOMexFD3IdI4ZHwuzRFAWxUWYnOD7eWkxWCkRqwtQkVdn3qsXmHKcEItiLeTGLC5w20VlNHhioZfKnPOKMig2biTitEG1BWLgOZqbpOc4Nc5X06zo6KDnmemgR60Cg6jII69VGqiVOf5SgddDx1r2KSs35fgZcktqZV6bXoxx/YLUGZPysOvWuNAcX7yPeKdY+lKirAsF2b2BmhbJSlPDIdA1WtNrTByKdJbzkVLp87QyYXqGOP6UEKeqFABn5xj/XxC3xVdF0rTqgMBqUYg/8dijjwAA3jz2Kg4e5D2zdi25RkNrGYdfO/wg504I0eT8tMavZ9KMlDBVnbTe4H2T0HWR7WNf0zVma0zMEN0xOQiroJhAFglxhxarqg1iZb4rHFetruuiwDZ3jDDD4vOfpcbCfR+/AwAQ98hNeelF1nF46GEqtE7oOvnUJ5i98OD9VIHt7SZ347vfeBh/9S1mqo9NU8chbRdEmI2jn6rwYdxaLt0erKtqFl5FZGBFLsESW6qD0JTOadU3iBaCjJnOg40/AIirvHf1RoccOHPmzJkzZ85azCEHEQsawZJlm2mMN6vKAUAQWB3zSNYCfFg0zGJfYfwx1EIQczlhle2IIJw8Ry//kce4ou87JMXDa5iN8MkHqFnwd4/9fwCA736b1djKc9z/hj2sWD0ysAZ33cXaCC/8hIzfo68xzlhQDvHwEL1TU4grqYvlIr2qvHLsU1l6OinFOa8/xNjk6fPkLLzwHL2R3i4iDVs2MAZZq/ioWuxT8fyuHqIVHd1S8hOLvCqW9bp1zFIoFubVB77OzdPr6FKct1cekVXxM/ZyOqXMCc9QnOZKu6Jt7fwZU97OW0bcCauQaDoOi3l6TknVfUgn5eWrToI5NY2wvj1X8Sm17wemKBcsqXAoNCGMBWv865kZ0Znl+N46Rk7KubNS+FOlyPExeog93URxCiXVP7Dry1TrlJFh57ZarSJW5mfFAr3N/KIpILZWlevMsQ/ZDL3QqUmVPWkYO13xcSECZQXIrWKm1ReJKU6cNsQmncL8DPs7LkQkLQ0KT56/qUyuH97MvtW4b1Jz39FJ7ollYxRVdTEjDYu1a3nfWG2C+THO834x55OS/8vXiogpo8ZqICSVrZNMqvaB9AvSQhCMHxEIMSoK/VhUBoXF5I0vE9dzIxEzNUKiPpOqBppJx3DyLXrKJ98iCnfXA/SuY8q+OHuS9+6WbZyPuOY4Lw6Gp/PcqXohCXAsZ84TaZqYIgKT0hhz8u57uohUeY0AmZSUT8WtiPnG27HKmZzDfbuo+/FrX2I5mwceYNXWSWWIPP3s9wAAP/oRkcRkjH369V/+rwEA27YRvZme4bX8b//dvwIAPPXUjzC5yGyNesL0DXiewsqmoR/bJi7vGTS78tcfWluNhxBBFBrBlasu4ZADZ86cOXPmzFmLOeRgqQUAGo1w5VWXJ2hV6iy+02TCG2VeCILfWBI3sqyF1liYrcJtoRuTJxCInX7iFBGEhzyyd/NJes6Hrr0OAPCVn/9VAMDjTzAX+e2j8kLq1GifG4mha4CndfsWog5+QK/9/AV6a6dP0kvp6+bnfQNc4RfEYp+YYhZDUboAvb2MDfb10RvrV0W4j9zInOufu++zAIDuHiIIcR8IEpZfb6px8h4T9FKyis/X5dqWzIvrIkIwPUuv3YvRK8mX+X6taiwMD7NPlt8O1agwT7xUFUM8iMFX5kgiZtUCeR7nVHvCPOPubnlQVnVNzPrAb9W9qFnGgJCGstIAyiXF1mut+fGxWCzkqeSlbGfaEIZ8GGck5bHNE/Kk5axi9GJrhsm1B4m0eF6mpa+mypdIyrsts2+FxUKIcBSUbVC09IWIr7GgjImCEIaOLHPQK1L227qNXIT169mH7h7LHLDMEdWYENIQt2sgkQTqjGvPKOtmYoJzr0sPnRlyS9JpXpNVPaKS6oNpU4RerTIBUhmeu95O1TtIsf0Ne+jtdnRyf8tYSWYSaNQs80HIgClp6pIy5UPTaQiRpaplJ/FYnR3sa6loGhPcPivEzXgfxTzvZVP968gmMLyWHvze/cwkimd5XZw5Q52HzZt5XXSK+FIo2jljm1atcqCP983EKNGJV15mpgB0ne2Wpkmga7Mjx+2Hh9ZisJ98h4uz9OiDIudosJPHvuuOwwCAz3361wAAh/fdzWOpkuyjj/wIAPDsi8yS2rObVV5vvuEX2Ic6nwsvv8QMkkce/yoA4IkXyKMqNd6CpwypODRnFmo3z9leV6EMtKtvcPl29TIGlnISwtoRoQpv67bR9/a7suKX79IccuDMmTNnzpw5azGHHCyxAIwPWzW9sF63vDvLzW7G5KSItiQcZoXMmrGyVq6BOWlGMm1Ijc9Tnm5R3skzbzJ+N18n27inlx7XrUeoXbDukz8PAHj5Zdakn56n63V27Ax6KvSiBgfo6W+XpzfQR0/g7ROsplgukYXsy9vqGyIHYVpp6/PmvStn2pN32pNj3De1id57I6CXVlLs2U+mQh3/rDHXFY4uSqfe5jjTwX3TYoCvL9KLmZpjzHRyivyHdMF0Adjn/gGOsSvH+PfignlUhiTENMYyoFV12jTuxQWYm6GHXJSOQaf6klPNgIx4DFYjQCH2sAJgWTr/xUjs3uo+WB2BoNHMha83DFVorfNQVbz67BnGXifHiRQY4jIvRvwLz78AABgaJP9jeD2zWcIbWdkLcbtmq1ZroYiq/p7VuPOqFWB9MWTMOAnZnDIharxGj73J+HhcHvbBgzy2VcY0DsK8dB6sop55+Z5fD3kNXV2KkQtVqFR4Xu06yIl70ZCOQRC3yobsi+n+j48yJj8/w3ndsY8e+IhqM/QK5SpbdotVGEwm4QX8LJ0xdEsXqbzHmk58KW+cAilkqo/23nQM4p5pS2h/XR/JpNWB4HViyEEuF8f+/ZzDTVuIwrxxinOXFIeit5/XeVxZOKYd0dCDxmpNjI5Kk0AD3L+P7c5bBoXmvaD3pp66ZqAfaaF5uQRRnD1bmJ1y7bWsPfLlL5JbsH0zEYHpST6TXnyOmSUV3fefepAZFjce4X6FPJ8TD32fz6jv/oBo54tvPMKxgPe2l62gUdNzQlyDhs6NPS+tJkm9sUrVxfeajXAVOQshl83zV63k2AhVfFs5bVcINNCxnTlz5syZM2fOlphDDpaYB67+a2H8ttXbD5at4kzvoFlzwTTuA63UvZg8xZBFr7asTa2QbQWYkMLfYpVcgldPcFXe+TA9h4xi+bu2Mh9612562gXl3s8sVFAXKz0ZNw0BxWEHiQx0ZugZnDtH79RixLkefh/zySo+Jx2DmWnFrWfppfUPFvVKJOL4idcAAKfOkEl/zZ7DyKbJZ7gwqqyEgPuMbGCMtL9fMVQxveOa27XrGZ9cKLIPTz75EACgPEaPamxcnoW8sz276CkW81IezFg9eM5XpVhGVTFUU42bGOMxZ2bpKa1bR4RFDjTKqjGQUr666VjUlYFiYc1cJqt2+b5e5zzOi3E/O0sPPZfLhEqGXV2c44F+xpoNUbCsA/PKiuImZAboUWUzafWd3587R2Rl/aYDLfMRV+eqZauwWNH7aujR5uUJzyvQn+1Mt4w3JeW/lI5ZbbCNsUlpUJzhudt3gNcRlL0RhHoSqv7YsOwPZSKUCqiqEl/m/2fvTWMsObPrwBsRb99f7vte+8JauBXZZJPsbrIXt1rWLkuWYcn2eMae+TEDDAaYMWBjBpg/BsaYMWQDAixgZHtkWOqWutVSL+zm0mQVu5qsjbVXZmVW7i8zX759fy9ifpxzIyuTLJJqFsWWFPfPq3xLLF98EfWdc889N6z6D/xdq7GKh71HgmHtW4FxKbBypM3PE3GM/cI8aurvzSOf3SHe6UmT3eITrkSHSR/vadsRCbDfgk/JJqLSCjuHVskomcZulNZqKiPEseYYq8+/MlNCZrFFzwWTFTTDo7hvZmZGJUWtwNIy3CbXM7gmfT1gPvr6oLERzmetMClQF5Jh9crdc9AcmQ6O+fkXXhQRkfFJ3IfzC9i+sh3Tk2AOUom4mGTWjhzAPffI0X+C70zp8wLnMXsbrJb6FsRiGLiXXoQny8AQjlV9H159HRqEb33vmyIicnMOeqqW4JlgsCrEEct9xmrFh1Zh6L2m7z9Qc+D2vcGfLoLeC6U/hFn4+JqFnz7u37e55zhdJoHv62vnL3d6f6nwmAMvvPDCCy+88GJXeMzBnnAccQWrNDaTYEB7KOBvVcSrl4HWu5tmwF25ddQT3PVGwPuWgor7vP9FdhbETebkKYSWag1I4sK1H4uIuB0Xm86TIiIyzD73PWkwCMlor2xmiYCKQBEh5isjzGP64kBtnUGs9LfonmZTKZ/uRg392kqJr3QtozvhLGuzTz4KFbPmjc0APm80yhILAbkpOj9/4RzOPwgU9ejjUE9PjQF9BpjvjgRxrCPUM/TNAWWdewssRpwufEELSCgSADLq7wX679A3ou2E+XdbDMKSagWIuVQGCzHQC5ZicBAofnMLbM3youb7gZBTCZyLIkJlh5Jx5MV7enAMzSZQXcvBuWQ2tjgeTYlRPZ8kcxAmKvez7t5h740gpfJuIQz7OETo3teVwmsqxQ6SflYEEBFWqD3x0eWxwXx4vd4Ug34DTboE1vlqEviqTsRPgUidVQ3aS6RFZiRXQK54KwsEGWclQMNF1Lof5rvpYtexWq7fg+octNeG9uBQT5EmtRNK5xQqW9wW3o7F8Y+tbTApuRyO6fIF9AU4dBhVCoMDmONV5sUtjnc0HpdIVK0vERWyCxvr2KYtGPsYtSg2x7jVUGaR14r3sEms5ScblEhiDrbb2K521Bwa4b3a1St59itZYwdMv4Xr2s3+JWGyU8rKBHh/dOiMmNkEg5ArgEGo0T9ibg5VLU88hd4rXV1JHouyaDjnkN8nwvMy+JzrIWsR8uP9FepgynQ3TZPt0OqkNpmlu/OodrhyFRqDb/4FujBevPEqjtnAvekLUUdC3YTTTrlI2LCUSXWhP953XWk/uHfCX+fYyxZ82uExB1544YUXXnjhxa7wmIP7wrYdaTRabq245ppbDdY1u6ru3cO202muKT6iBhFVaqtCfnf/cVeZyn2ovMHk75NB5hqJdCqsb37j0lsiItKwgRg+cwrVC+0yjqk7Yrn59pbgN2yiJm2iT4voNJlgfTqRf5V17B3m5ofGJkREt8W9KAAAIABJREFUZHERucIs/f2rFaCTlW/Di+GFL/yciIgcPIj8f6cecnOIXSmg7nQaaOO1s8hDXnz3rIiI/PxX0Uvi1HEgHIM6jjC1FwePHMWxs0fDGFGX1owv3AWDECWi6qUPQpPq54DfcmvmTV63QoGuYoZeIzooMp9NwCvVMlCd0cG2YxGouqtU+W+xD8TIEBBUOIzv9Q8AecWTqKSwTFtMHzsTkpZyUSjHaXNjg+MFFmJsGI6JbcF17u3FOIamwHJMTuJzRdwOWZ/NTWwnatLToApUVymVxQoCyapyX3so+Fh9ocyA36clNXhpMmdeqwEBV6rYzvIqNCgT45hP2mGzXVffe3YzjBJZmyJCDY741SmSP2L3UorxXZ2I6jzKVOV3d2NMl5aI7ttgOWZmToqISITXIBRQnYDmqlkdE8U1jCdS0iEDWK2TUWIfBs3nx+LqU4DwucwLjqlWLXPT1Fx02KOAuoB4Gn93sfNiYgvX9tYd3E+1dktqZDTUbXFmGr1EYjH8RlPtkSiOYjuHufcX34VHwJvn4DHQ3YP58cKZ5/B3F/a1tgoWzEfPhWHqApr0uKhXKyLq5sox2s5CM7DVxrGpP0YPq58SaWyrwHtwZR1eJHfo5vijs6+IiMj12/BaMHzUEbguhnz2setpu+5zr78V0AqwvbhV2Vq+b/xsdTD8mxgec+CFF1544YUXXuwKjzm4LwzDEMs0XaVss62Od0RYlDUH/HS3Y/5UPQrsdkc6RIY+n650uXFlDLTTo3bX4scNQoQeIqMvPfPr+B5R/bd/iG6MmwUg5TcuoZtjiF7qA4+jX4LdFGHaUvyqlSCk03p9V0PBVbh6y/sizJFSbBGj//rjDlDZN//rZW4H0LpQxjFfvgKl9GNPsSujuYOyQqzjHxxCHXd/P9DH8hpdGKmqv01v+Sp1Egf3Q/eQTkF7cPo0mIVuduUrF5GDvsia+ivvohfB00m4NkZ47O1mW8LhHf2BiEg+j9/Wm3jt6qFTHl0bk9xHnai7TeaoSk8KzYdqT4GtTeRaEynsp0lEqh3wbLshUeo81PeBU0ZKJaDUOartu9m3YOgxnEe+jOudSIPl6emb5CsQYJvr+zqV9aUSxkOrI/TYG9W6BIzd3URdF3ZOUvUG7ajmhoixxYnTIbOiDMM6lfL9A7hGhhPgPqmoVnaADEWzURW/xa6BQeTAg2SIDJYVGI0494GDWF6e59/4PBbH/FldBrodHILfQ5rXzO/DNU0kMN5+9jCJxLHdWAL7rdUakt3GWPmptShRr2Fr9U5YtSa7u3Y2qePQ/g4B/+6qhVoD41QsgVmId2FexNPcN7935c1zrnPjY4+CAUzFwDqxNYlkt6GDGRxk9QWZkfl53D9vvwMG7tHHcY+Oj+O+6enG96/dwPdSPWC39P4L0EGzWWuLWGTO+Nwrl3FPGhRGqe6hzfmQp65hfRs6iavXMHd/+BZYwWt3LomISIesUJSajaCJa69siUFNRzoZEJP9SIpk5RytvnH9LXZ7zOxULezuueDxCQ8vPObACy+88MILL7zYFR5zcF84Dsz0nAZz8lzFD4/jtcwc9MYWcu+2AQRhhZgY9FfEsYAMzQ6QjGNhJayrc9sOcV9ADAET+fBGHatxHx3+Thw5ISIikSQQwNsX4UaWL2K1XqRy+Po9oPYnTrL+O5CQKjsZal4uyK6DnY6a/XNNaGlumJoKSph9VOPrynF8FBUFR49/VkREXn/tdfyc2oVKCfv2M6eYTKWkVac7HNHjyAgQy+jEhIiIrBMRNekmuLqO3Oi3vvl1ERF59ulHRUTkV37hd7hNjMP6ChCjqvC7WKVxexbofXUN534wRU/+oE9aQmtDdle0AkBRGfUMuAek1NOFcZKA5uSxj9uLQF8bG+yQNwF01k0Umi1SCW9hu3UT13Iji9dWoyXxOOiciUkgf59f/Rq0fIV1y7wWg0SAqXqc44ivxZPYpz+klQE4twrnzxbdD52YdtzEudQtR0z6GDRKRPjUUmhlRMCnnUKpVeHUVc2Bj+hOtBqDHhaFMXbO5DnWO+wYSIZBbd/bbVvCQfwRoc+BxVx4ha6M0Th7Y7BKQz0IutOoWgmHcV6pFJihoEEnTm6nu2cCx5IESlWdhcVzz9NJc3FxRdpaCUJ2K18A0lfvCZ2bDhmXagWfq9Ok38dKAl67ErUGBpmqPCssFs+iuuf4MXhSTI/i9e0fz8nBA3AdnJxG9U6DTE+hjDz+PO/vSzfw7Bkc5hjbuA9SPTj/L34F9+a+g6jSyHLuJdIYrzT7X4TI1DTY06TZae/0f+lwzIRagA6u62YG92quiPtB+5zcmsexvfYmKkTubcDv5ORp3LvSwb5v3b6J8SnhHtVuts889iUREfnq535Hbi2CbfhP3/zXOD+yL67EgNU8NvURqlHYCdV0YU67XVn3GCPs9UF4T4GAs/eN+z76EPtBl9V4QOwx3H2fzz/c3nDvd1SDsbf778MIjznwwgsvvPDCCy92hccc3B+OiNPeqQUeH4Ny+J/9d/+9iIjE2Pnte9/9roiIfOcHUOtnS2ASHH9ILJ96gGOF26YzoCI/ghUZ6oX3+ZOnPiciInO3sepuVMEIxIJgFLSvgZ/KXrPNDZFhyFBZfOnGLWy/PiTZ9QVsgy5yg0NAoYYACkajrM/vg6JZ1cqubz3XjM59iE9E5NDhx0VEZG1d1fpAN6dOAimEmMcM+g3xGew2GeCKlhUDExNAzveWgcILBSqim0BGU3R+3M8ucoocfNx2hLnk1dUFHhsQ59g4OlB2iIZLdP/zhSxpOupsyLw19QjbWez7xjX0mhgfAzvRYQ56kWr8d979iYiI3LkLlfljDbA6h6awz17mwVMpvPqTOMbuPqC8uTtLkt0C49PdxcqGoNbOY6UfZ15Xa8tDrCQJRumMGVTPeXy/UsF190dxDYP8XF0Ng7zG5TIQZLldlVaF14QVIa0mtQbsMmiTMWqwl4IQOTfq2q+BngrshLlFH4ccc/fxGO6PWgPzo1HF+KbY38CwDakxn5+x6a3B+R0h6+AL4PMO89LdPXhfvRRs6h7GeG82qNmo83rr+VtE9S2eQ5EVCflikfsJShe9BOLs49DVg3khpnZhpVup+h8QjWt3T+2EaPP+8KsWKYzxvXsbufjbN8D6BTluA72Y41/7yq9I/wi1I7zXtskMZjaA1i9fheL/2g28lir4vE70/tzzcCd8/jk8R5Tl0Nz7ICtnYvQH0c6ShQJYAcP0u8yH3jtaGaBdOFfX1nj+6BSp7Nb8Cti+zCaO5cXP/paIiPzGb/6GiIicOw9G4cZ1+CR0pVBh85UvfllERH755/6BiIiEOv1y7hIqHNrU9fiD2rWU7JOov8GDfA52aw80Pqp1wPv/+pMNF/U7H77XD/NA2OuU+DDCYw688MILL7zwwotd4TEHe8JxRIROgCs5IMU7C8iHfe1LvyoiIr/1D/6xiIiMjEAp/erryMHfuTsnxRoQUTsINoGpTmm26NynnfpYQTAzjm30RoDu525CtW/ZMb6yXt9gd7kSloipNFDORD880tMxINJkJCbNJH6rrnFtKn+Hh0d5llQd54CEwhGyElTQq1pdUW29DgSh/SFOPgLkXKC6WysRNN9XLJckzA53PlZ0RImUZ6ZQVbG1BdYhx57woQA+//VfRc/4gweBysusXrh0DdUIaeb5B8aRz7x7l/4AVKMPDuNYTKrUfX7T7aIo7IZnmaBv1Lmu1aSOoUXUHWEHvDrOr1nHfGizM+TSApDUMdbWHziAHPJwL3Qmiqz6/ED160tbcmMFedeuZJqvdBWsglmKkTlIJ3i9fXh1M6umuu+x0oTXqkWjhCS3e+YM2J0IXeiKNSDl/qE+uXUbTEitgveCQToiBtUBVJXh3CuTpG2iTT87RKpzYokanFaryUPE56bg2MtEwWFuPx7xS5YK9/U70HFM7cP8D7IT5tYmlezclqX9SzSlymPzc7IaIfpiBKjNUPc9dR7VfgisuFAAlkwmxc99qM9FjAxHMonXAMd4O0edkK06D+7bVmxluucnIjI/D43Bvdt4VQ3Qm2/Ak+CLXwLDND0zKTXqMzbJwmXod7G6iueH38I2Tz0Cdk61FElqCE6egsagm6jcruF8U0mMR4jjUaNPyibZnjbnTTAYlQavr0NflI6D65vj9bszC+TfN4j5Pc57eHof5trp058XEZHHjuM1YWLf64t/hvdPwM31+ee/iu+fQGXG0iLY0m996/+U185Da2T4cAwWNQYd14OE+igXz/K/Lmfvf2Ef3LVxb88F/dv+EL2AyH2ddT/FeNAhvEd78BDCWxzsCUMM12J1YWlBRET+7e/+OxERuX0N/yn8nS/8moiIfO7Zr4mIyPFDz4qIyE9+cln+7Pt/JCIisxS7qdmNKquUms1uoAxsaR77mOingdAgH0wULEYCeAiMsYRtewQ394mTSEvsJ7XdFYVgKxINy0wPbt579zCTlu7xQUO6PE7b30ZDGwzROEZbFDd3l2EG+R+72u7GE/iPKBTCf9BVNhpqU8hmSFuCYdLdbG9r0Lp5yMKD8fgBmBtda+M/zUiYqY40aNBWA9egxLKqP/vON7g9bOcf/c5vi4jIiIPv57b4Hzlp5GYVD+SIERJLGwHRkpf/J7omULpoGp/AgsuMsAyT5j2GRWqTLYm1JXM8hjREgCkguuq6j69r7+I/h+xGRuJRivn0YUexnrYQVvvncEAFYzhvfXAbJgV8vEYOy8xqNRyTtvDt6U3z2GjI5MMx7j80Jb19WDh9/3tviohIIe/f9Vvq7KTB//xVnKVNb9SYpsoFTbGoiwP9j5cljFwc1GhkVKTQLxFNu2Wf7sKCaaFr16+KiEgfF719NLPSskKH+TiHhjptDnI4TOGpKhdpSLS+gf9sNaVUqqnIEovNSnnZbUqlz1OTyszuXtx7I0Mo0RwZxqtaX29v4ny2syx95HVv0m0sM48U39Yq0lXaHOnwcZyb/kdXKlekUMNvGh0cn7aNPnwY93cqjfbHaQoL9d6NxTB36YzuLp5aps5xik6ZIs2y9XmbKaRYlGmajuW26i6XKTAtAjQ0GtosDcDl6NHj3CfmcpTzP0p78QQFv3PzSD9M9qOR0zNPviAiIv0DKHV+5zwWBX/8p78rIiK35r4pbaY8fQ7Oq83Ujs+nqTDegx8gGPxIsafV8Q61j48/aOsfYf3wiceH6Q0Nw+SD++PnGby0ghdeeOGFF154sSs85mBPOI4jPh9Wr8dmQJ/7uZr90esQBS3dxor6a1/9ZREROX0a9Nrzn31WkrQW/fYrWLnfmoUYqdrAqlwbprQorNrMAF1M9kOA10ObYYcUd5jMwbNnUKr06OlTIiIyPonVfJRiKts1OApLMAy00E0UOTQI8dbWJs1L1oFkxkaBmMMuY0BUS7q0o41RSC9ry19FlCaX0irE8vu1Ha9f4kTlcYoidRka4b4OzQBFxMNAMC1Nt7SxzTzp5TfeeENERC5eviAiIsUSxnFgGBTnC8+8yEPC7+buYjz9QSCNvv4eGSAKbdRUHMq2vt0Ya2WKQjSBitMUKZUC8hnsp/0ty+g2MjgGNUva3gZNv53FOCwu4JrPzyNF1NPVJ91Efi02ZyrmNaVDBKg22kRxHA4pldg4ibC+i+jMIUJWkx81MLKJlC1lbCxFSI4cOYQ5c/fOCs8DKF7TSS3X9IsUAq+zmv+8ty3u7nlhckPaYMi2dx9Tx+5IrQ7UnU7hui8vAmXeW8axJE9grF3ygsdQ0fbSZAqibmme2pXjmOcXwJLdpBhQ25AHeW1LFUX9WdekZwdkYRtbWdwfl97BnJuZwTw4fAhsl7CxlM5/tReuV3CM5SxYwyb3dfwYfnfmmedwDiwzzVcariV7hNerxRReIQeRZ7XKxkrbuLdiFH12d/Xx7wTHAZ/bLdoiE/VXyNCoAZi2slaWSDqG1NnCe2EB81XTKwbvE517b19AerW/FwzU1KQKTXHMyT6g/0MHKIQeQZqhUsc4XbwEE7U/ZUOmm7cxvuneEZme1FJOjO3cPdxDzSbuEzFxjCbTDTtBm+2PgPzxBZ28u//eMat78E/tjwnG9zIPHyRE3CtAfFA64SFWLr73GD65TXvhhRdeeOGFF38dw2MO7gvHcaTRbEucordf+RoMeE4cAVr/0csozXn1ZeRs//iPoS9YXYHQ6+iJQ3LiBARCYyMwDjp3nsj3Kn47f+9dERHJF2jaw3I5OYmVflcfVvamSREUV/iT49Ac2DT/aKlYsIbX9Qy2U2+UpL+fbYz7kI8/fAyixXwWudO1FSAbv7W7BXGdwjvTZItnlsO5zU4Ye9u+Bqi6TCaBxIMhS0waLDXZScdwbaXZmpksw8QwWA3NBRfzzOvTmtbPYzl2FJqMzRxQ3SuvYFzHaZ871A0W5PJtjK8vwoY9laKbkI2FgfRNIYokGr1wGdqAm3NAYUdPIN87PYljGx7Ceb30BSChtWWgGYOlaZUa0Mw770A0eesqSh9jWoYYiYrNHGqFNschCvD6WPq6naeREM2BtJWzRVMt1VI0yKyoJW3LxryJ+HajWd1elCI5Q0xp1smQBHaj0DYFaIrqVVvgsjnUN6gNss33dxij3Y8RRT2qt2mwDXmj4Zcutrem3EUW7kLHEwxSUEhhaqupRlyYP1oKHKJ5VJ02u9UKxZL8wuIy7KYrVZxTqq+H48c25kTzjuG40EhLLrWpU5SmYXMFIOntLFC83h9aXtxqKStDISf1EWoG9cQTZ0RE5OhptDaPd2E+VZvKsAQkQWZNGcUCy0JbtCjXY0qm4rv+DvrxuwL1HE222bZcQZ42dMO1DtEiXZGxo42/mm25fgP3TJnC3IERPDeuXAHS1/LP0RGIHgeGIX5OpQIcL9XogLXzUQjRyuJZduUCLLBfO/c9ERHJbLDlO++zFz//c3LwAESL716nYdKf4PzvLYNBIGEmQm2CI6rFIfInCLdci3Blrd4fne99pv2sxnsYg73H/RHKIH/a+OsxQl544YUXXnjhxV9ZfGrMgWEYCyIy/oCPM45DGfru3zwlIv+biDwpIiERmRWR/yAi/4/jOA9yx/jI4TiOOJ2OtAhrmlTKDxGB/9Zv/KaIiJx+5DEREfnu914WEZEfvvZDERG5eP1t+TtfQfvi41NQGT914gvYBk2PbswCXV66CuSb46p8axur9r4e5DdbTHBtEkkEozg9bQaVzeHYllny9O3vgcVYXr8lfV1AS0fZQvkzT6Ga4vABshqjQDCaa8znaahDJsEkEnBY8hggWotGWWbHGi8tcWyQHShTrV1r+KXNUk3Nw1o0WooRMUdjYCU04W3Serk7jffDFqDC6MQXRUTkcy8+g/Ei2p+7A+tWi/qIEKFFgKV+a1Srb240JMsysaefeI7niWOI8Rg0X3n1GlDL0hpYmEP7cc2O0ZBpkCi0pxvIKVcAipm/h7K8q7dQ+lot45oabDKUL+fFpk22VnwESyybZAnjGq2Ik7T77WJOPkyFvBpa+ahBaWqbZaL49RWgtguXaLPNcsWJcVRBHJjeJ5bBltO87soIFGnyQxmDBBQJaxWClnt1djMIipiVQRBnt8YgQD1Ah+zG2vqqlLmvzSxefRbG5cA+zE2/WjxTdBCkZiLC82+xiqPIdsEBqvvFxPebHI9ECujdZClgmQ26Kqy0qFUr0uI+tJFaLIbfTI+j2mffPuhi1G08zW1WKxi/EO+DGu8DZYMOHwPTGO+j1TUZmgqtkVvatToUdMsmw9TejBGV6/0TiRD5R8gkmdrkDdtQBLyZ2eZ4Yf4oe1Ot8NjCu5m7KLUuxcK61KhrOMAKiQhbk588hefc9L4JjBMrhdrUzYRZauM3cR+U2WgqyyqOTAZjrk2itC39V7/0CyIi8sLzaKY22DsuGVYbra6jbLJQxD3rC2AcVGvgMgFu1YKWzzL29mVSpuQTzM3/VcRONYXqf3bjepete4jn+WmnFQoi8m/e5/3y3jcMw/iaiPyxiNRF5L+IyLaIfFVE/i8ReVpEfvmTO0wvvPDCCy+8+NsTn/biIO84zr/8sC8ZhpEQkd8TuPc85zjO23z/X4jID0XklwzD+DXHcf7w4x2OIWJaUqT5x7e+8f+KiEib6Pe5p2H7uX8GyCKZ/BURERmfhr7g9Z+clW/+GSyVC4eQGx8dh3mJUwNC2D+O3Jp6BczfQ/4tX9I2v/henc1ubAOr+hBb/gZCrGIgkqgQtaSIUnonD0rIARorsDnTtRtAtOk48pXDA8jPu3XpqtjlqtPv024nrBGnRW2NqC1BTYZWIhhUEteJypr1jthcy2sNvY9reYMw3aFxjp85dm2xG2Q9v9BwyGb9eoPHFGQ+89HTYD9a7A7kJ6odG8K5LbA5VqNSkDQrJ+rMQyd66KnQDYQ0PAQCK1sAet/OApVefAfVKdU8zu/MY2d4rPhdhFa9MW4/mgBqqxZZ5cFhbHXaUm1iG4U8mRQi5BhrxLcLuFbr22AApscnRERkJIp9dciQZPn7UhXr5wZfr1+C8vvGLSCvCtmcbbImPtsvM5No8jPQCybs1hxywXVqAkJEgtUaxlQ9FPQ8TWu374HaaiuqaWmVA2GbGvYoo5TPbcs2jbmaLVxHNZBKsPKjzVy4tgsWS/tHk82ru2UMPBZ8vr2NfbheHDQB0iZJ+YKyWlTzN+uiZmAtns/6Gu5ZPw3HDhzAfR6OaIt26j3iuM5qO92h7Xg8QY1OBGxPU61/ee0M6ik6DRpamZY0XfYCj2LX/jqM7/j82Ec0ql4ENb7i2qS7sC9lWjL3MD8qVbzGeF/FeB/VaIq1TKZpoH9AHn8CZl4hMiexLrbTjvJe9GGcsllUuYRp8R0hpZLNQuexvY7vb2bZ+rmJ9488guqGU0EwKkMDuN8i9PS4efkdefUnfy4iIm9cehW/rWNfyhzYDruAKTPgUGPh4Pzb1Gy02ZBKuQTDUMZFK7D+ZjV1Nnheqj0w5SNUbHzE+OuiOfglEekVkT/UhYGIiOM4dUGaQUTkv/00DswLL7zwwgsv/qbFp80cBA3D+E0RGRPIUK+IyOvvox94ga/feZ9tvC4iVRF5yjCMoOM4jY91RI7l5hhv3oFr2+oaEOXsHFbbX/0ybJT3zwD1vPQ8VOxH9h2RSxehVGffEGmZOJyVDayELdYjj9E2OZ1GjnFrE4hKc7LBOFa8FKGLwUsVoio7NgCUku6Cx8IzzyNn6wQaIkUMX5DuYrkc3ejoMleh0tvPVacq34U5ZmUIDKqvTTIIqjWwWEGg7YYDfrqahbiZakN8ZCNCYSramevUKoZyTRE//raIqspE2BZhdyEDxJelG1+Y+VuhOjuojoFkIqYOgMWZzQBBZ1Ya8tSTaE5jUwGfzQPR9NH/YWwSyGZuETqGfJE14vRF2KDuo06EGeHSvE4L2v374VKpFSTf/sYKt4Nz7B0elDaR7vY20Gk6jjFTS946qxDOsbZeJ+HIQcyTKhmCWgXjEeT4lskkbGWoG3AwjpGQoj1UA9y8c00mp2d2nW/PHSDE23MY82adeoigag5wKDXZjV7btrJC9C/o7HZ99NM+12DCd45+D5bZkhbdN8fGkN/uY828Nn2yiFLVzVIZAv2d2hlqJUSJVRnLqzhP079bR7K6jGuhWp3xEVzzzPqGayUco5YglycqLyBHHiSTMsjqn+4unJdFlF+l9qKmduOsAnE61CRQL5DoBjtUJWNQJyPTarRkg06e7TYbcTVxLI0mrmc8gftHnTQbvEaqylfvjrUVzOl782zZzTKngQGwRUFqWVbpcWJatM4OhSVq6HHhXrJrarkMHcPmFjwjOkTlbTqIbpKtyOUxjpkVttNmVUYfGcrBEbz6TMy3Iu+LV2knfe6tP5Gr96DFqhmYz4EQ2SnNMPP8LYO24pwedVvPl8+XDsbasLS1M7+oVRzGbnZrx9fA2vP6PuHsZso03IqCvwIHxQdpD3YO6eHh/U97cTAgIn+w5715wzD+oeM4r9333gG+3t67Acdx2oZhzIvIERGZEpEbn8iReuGFF1544cXfkvg0Fwe/LyI/EpFrIlIS/Mf+z0Xkn4jIXxiGccZxnMv8bpKvhQdsS99PfdhODcN45wEfHTRExHAct/GQxRxjvooV9CvnUJ1QZG79pee/IiIip45A1Xt8akwm+8AEZNn21hegD/kATuHGTSDauXk6uAWp3ifV0KgiR2x2AQEF+LmiuESUDAJzktoi+vw7QL0/OndeDo8hp/ell6D0f5dq4Zu34Pl+inXXA7041hCRUMxFPqzfZ024j6tvRS2tGr6fYOtjF9NZQER+X0t8XGVrq2VdsdeJMrWVbpUshTAXGI/TwY1q5M0tIJ0a/QHybJtbLwPNJZlzNTkOYeb9HzsFVudOOCF9PUAuayvIsc/O05mtH0hpcAD73EftyE8uQK/QcdRbACjkx6wE0MY7E+NwHBwdg3/EQTIIlWfgZvm9V74vIiKrG1uybwJ5fqdFlF7GdY5oK+o4zqem7X/JLDQ5ukU2LIrQk0DIlJTXgeZ8ht4iWr+O7xdK+Pz23aKczkH/MjIO34suIuE42ZfJKTALoxOj/C1Q3DodIbXeXX0dfEQv6vwW9mt/Axz7FvuHbG4CvXfshgT9GOuRYewrQJ9+V7/QwZxTp79AJMLPWRnD+n/VN6yuwy9EfQyS1DmUKvi9tibW1s+H2ejJ5/gkR7bFJ7jX2i181/LxWLjNJlmrPHuH+EMsumdPjTYrBGrsjxCh1kD7IPgM6oeoA+mwGqrWako4TqdL3v/hACuFOnhtVPHd7Q61KqZWDuF6r/D8F+8u8xxwTbu61WkSvw+z0qiXlVe6v2AoJHmtWtpms6M6H6cdXLdyFs+WOl1eZzkPrCh0IurbUGvid30x3Bf9g7ifTKL9G2RiF1fQW+H2PDLE1xeuuA2ohOffoY+Bzdb0nA6ouVhBAAAgAElEQVQiDulJRv8g7v8DU6jMmhqCpitfQsXRuR/jHszm4MSp5iz6bNceY+rEaTgPRt76HWX73NC8/wPbSQvP5aNRCx/WnhnHgleXQXC00djDUx18aosDx3H+1Z63rorIPzUMoywi/5OI/EsR+bsfcXMfwfzSCy+88MILL7z4KPFppxXeL/69YHHw7H3vKTOQfO/XRUQksed7DwzHcU6/3/uGYbzjiJyyHRFT6NLHPJVl0Y2sDCT0+lk4fa2uY2U9/xRYgCdPPSmDVOL6fKxfZrvao4eB1rp74Il+7uxbIiJy7V2g0R7WtY+PA4XGYkAj4RBWztyMq/4vl3CMZeYcy/Tgb9VakuxijpNdBN++DE/0GzfBHCTpg7CyDITcpIr/kcPwgE/yGGPsuuj3YRVf2sb53l3Gdrp6gGb6h/D9UICuiL62WI468yHabZyAwdygxdIIzQ36glRAx/D+RgZoZmkJOg+TOXg/kUWFrnZxOsd1mP9tUrMQYde6U4+dlME+/PveXXx2610gmKkxIOSDh+EFcJLXKJMByrh5E4zL4jyOYYGaE63zL9AzPxwCc9RL1ujJJ/F3lSzBGz8+K9ks67F53mur1KBQg5GM4ToPDWAsx+hGl8tRXX4P3x9IEmnTUTJDJqXW0Hrw3a6X2t+gkC/Kzeu4bgemcQtMTuB8g18Ec3DyJHQrKXpNqCvjNo/h6jVUvbz5xo9ERKTMCos422Vrj4pWk9UtzFl3dWH85xc2JE1HzBDntR6vgqUcqyvS7J1guW6NOJaVVSDlu0tAyjX6GoxMwEFU201vZbEdZRhCzLmnUrg3YrGUROgaqHNJmQI/tToGx04dQNWVsUzvACvCvLhF3QvZD+1a6DD/W28oW0ZfCVZvNNot6R0Y5D7oMeJn5QjniVaS6DEazInn6bGxTj1UPEFfhyjmssUqhxYrKRw+6v0BHLO26/ZZPhEb92qOfUvaZMZqJbq4LkPPoVUJETpAHp+CD4Q/zDw/3Rilg98X6Cxp85hvXMP8W90Eqk/34Fnn9yfFcqg14vmr+6RjY5s9Mcyb3jTYiDEyT599Bl4JJ0+DKQyy/fy5H78qIiKXr0ADtrqGYw9FVC8lDKJ+BeAf0vL5k4z7GYMdHQPvD9mtd9irczDeY/DwEI7n4W3qocUGX6P3vXeLr/v3ftkwDJ+ITAoUJ3c/2UPzwgsvvPDCi7/58bPIHJzh6/3/0f9QRH5DRL4oIv/fnu8/KyIRQZXDx6xUgAucoXkpbR5A5bSuvjvMrd+8CyS1wP7lZ8+/Jc8/A0fEfZNAYV29QIL9bm94oKznnsNpplmHrPlZsbEvH+XJPtb359jFT1dz6u4XYAfJg/ugSu7vGZb+fqzkhe5wvf1AJ+9cBktRrqmzIVajDSKhZoclFlyt+6iI1k6KvV1AxutL0HzeysCTPRpl/fI49ptrtKXdUNU567VN5mm5zU4byMdgzwExwYB0HE0u4vzVzz5fQO58Zh/Q7uAgcqeFIlDY1hZQz+gY1O9C5BSLhN1cYYyucCVu6+ZVMCoHp7HmHB/E+R0/hrrvWhUoIkyv/S4yLrUaKweog9D+GFqT3sfOms8//xzeD/tl7vZljgOOZYu54nYd7EuUtfHKHETohLiwgnmxvkEHPAfb7hDFKmPQbu/1kqefBNFvpVqX2VncUktU8B8/BufH6RkwKJo61VJwk6iluxt6iCceR2VMm4zUxfNgv7RXQ08Pqx+ugnGxmSc3mT8Oh/yyj9cvQi1Bo46dzc/j2GJ+nFcyRqdAovlCEWN+7Rby31dvYx+H2HPDJnrf5DxoNdkvgoi7TSZFff8T8aT4WPtfZA7d5IlHWRHkN5Xlwjg0O5yTVOk7RLdtU1khfD+c6uYx8D6jYIgyEbcaKhEPu5UhPouuk9buXiQN+nhoD4VCDuezucG8P3uwJGKYm60a/q7XgNpTXfjbNnBfhUJkKCjKb7Za4vC+T5CtKRaBz27cgDagWsGYTk3gPtl3EM+2nl5cSwlgfpS38btyCfvmJZCJKXzv5CO4r9ZfXuIx8NgTfZJjtUnLrvO8MKaPHMKce/aJr4mIyJH9YArGBqd5Prju80s41rfehS7slVe/KyIiGXYe1e61bTIpbvUD99N2dNw/IDP9EbQAHyd2bX5vD4U9DMLO5+9nCflwsuufCnNgGMYRwzC63uf9cRH5t/zzP9730R+JyJaI/JphGI/e9/2QiPwf/PPffUKH64UXXnjhhRd/q+LTYg5+WUT+F8MwXhGReUG1wrSIfEXQM+HPReRf65cdxykahvGPBYuEVw3D+EOBffLPCcoc/0hgqfwQwhGno3lQKmPZhU27yx0/hBX0L/3i3xcRkVvXF0RE5LUfvClf/8a3+B3kuE6cAqqu04+8j8hQOxh+5jPowZBZAZor5BURqHc+Vrpzs9A1KNqZmpzi8QKd1IgsBtK9bn11iD3sFW1bP8R5FOh4eIhsQ28Kecp+6iW093utRoTEPK566I8zV79JNFsp4rWcp1K+VZVWm4yBoT0BsMKvVnm8VLyHIkS4DhXctSr3BTQyPY1jX2GOXrutKRJUZ7hZjs/GFpDCydOoo/f7glIsEhGGgB5SzM9q5UOVDpjBAD7fPzMhIiJxOsZpzjkaBbIKsWdAi/XsmQxrx7li13kS4veffeY5iTIde+kscuENIv86eyCkBoA2Zyag9FbUvr4ONJYjcg5oNUJJKwdYBdJkLpXo17K0Ox3229fbL595GlUUB/bj/EIhwI3lFWhPMtTQlIhWmSKXMqtz0mlckwRV+I89hnV6Tw+OPRLiuDTyPDe85ogohwYH5eCBQ9w35ua9Beg4FPF3jWsPCswTdQC9RwZlbYs6hxSQcjSJY8rxvinSgVG7DuZzOAb15lD03mrZLhrXMVKGLE5WI8xjrNXwI9UOqDJcvRk6RJ1t6mnqZM1C7Mqp2gWt2FE9Uaor5o6Zn06Ahg/72sxgzNZWMC6VCn67sY7zjIRw3sODYCQ7vN8qBVZUcI4G+ao9GgLsm1Kr4Rhr1aarFQjys3vXUNVT4r146DDy+fv3Id8fZndTnXMRPzUnBsY6zWeb6cPzM0XnyEQc7FiS7rBJOk32dI9IrgDmYGgY2pFHT4MxeOEZVFyNDoLlapRwjBsZzJvbN8D+vfpjOCxeW0YxWoF6GF9AxQW8duzRoChdmUvDZYnvg+8PuSGD84DtGR/ASOz0THj/32ql0MPsqaDxaS0OXhH8p35SkEaIikheRN4Q+B78gbNnJB3H+RPDMD4rIv+riPyi7DRe+h9F5P/e+30vvPDCCy+88OKni09lcUCDo9c+9Ivv/d2bIvLlh39EDAN5V4M591aTta+W1rdipcxSfZmexEr6Sy+gy9ixA4/JH/4BuiNeoi9/dhvoNLMJ5DPGGvKREeTGx0aAFHt7gYRSVH77WDPephpb85aLS0B3Ifof9Kaxiu9OcVUeD0tHlc9cVe7fD2XvyZNAAEV2YVSXtXgUK32tJa7Ro6HtEKXwGGJUmA8NId+v3QkXFoHar1wB4ghFwxJjH4cIyyyMBlBIlYhZkaH62qsjWsCHfYeJeCYmJjBeoxgv7d+u3fgGqBNQluPrf/LHIiKSZ970V77294TpeAkGkRM/dOAEjjOiuo4wj0nV5jjmbmoHtrZ4DdeYv6Tn/NQUFNQz02BxWppbpqajSlTvj4TcTp6NTSCkzDxy5zV2cDw+Bl1Iwo99rq3hGmXWNReLc1itA+3W80DIIbIhjkn9Lq95lbn2UBAo+Dd/49flxRfhFLmyBJ3Gt7+NW/DtC+dwnhtgECbGqOugs90bZ/G55mcP7Me8f/7Zp0VEZGiA+o88GQeyZI06Feg8qGNHjkk/NTgrKzi/tfVVHjfz90T82W11xsT5zi/he1W6XI5yXiirs0xmqV7Z5jFwfvHiJ8gwaPsHx/GJpW0o+eKnA2iMVQzKwmyTpakziV6kzsWhSGN8Csdi0u+gWqejKOeJvVOULiIi3exdYAUcCbDCJ0BvhevXoAu6fh3zIxpB9rVU4Fyy8HzYvw8MTCyGbWXWs9wmjtEfxPbSXRjvBP0/VKNTLmF71YopnQ6rMehaql1Yjx3D82LfPsyDFMew08ZzwCArqM6B2pWyTeZMK4sapGt8FFs88zTmjU3/lGgoLJ95EhU0jz8JPcPBA/AMMWxs4/IFdEy9dAk6p3ffhd5lbv68iIjkq3i+lsikBoIYV9Ovbp8YF0Mr0PgccUSrpthnxg66KPw9aJPX0dirB9AvfogkQf0R9jIFWtXi3MdaqLbA3pv537PvvYzCR/FI+Kjxs1it4IUXXnjhhRdefIrxs1it8DMTbutw5qP8fqylbt2CMvZ//1f/QkRE/i57LRzZd0L+6W//toiI3J0Fknnj3OsiIvKDl38gIiIz+5FTO3kKyt0083CDvcgdhhNYfWs3uWiYSnn6s2cyyFnXicRp3iZBC9vxxX0iAiTQqmNl3pUCunzpC8+JiMhrr5zFNty8N3sp1IEIymQMFlZRjcGGkDJKxqCbrhIpuhnGmWO8u4wqhsJ8Sfr7gaq1ZjwcBLJVhzaL1RjZLBBkhw3qh4ewLfVMUOZEFeIdXpSNebAU6qSmWSWtbjj/Fuqbn33iRRmmQ6JpYRwOHUE+s97C4OVKdCWkm5wRBFrVjn9Jdp8MEPkoS7G1wRwrXRp3hMO4rVrsVWE0HOmlm+SBGTj0XT2Pa6AsQ4o9I2IjOP+VJTr/Ea3WeSzVFq9ZGQgwxvMO8iK1Grtd2kJhIMYrV67K4mKG20Ye++5d6jSyUI+Pj4K9+NpXvyoiIjZRyltvned5k/2hc6ZWN2xvY3tNzqeYXusuaFnUnfD44RNu7n92DnMrz9ywMkIbW0SZrMOvkzIpMu9v+nF/JNkPYWsT51TI4hi0CqZG1uIguz72sRNlsYD3TcOSSBTzIUcmzccaeId6n1lWUCyvYHwUZYajGNOpGTAsqa4U96lz1uQ4UbNDViTMjqo698Nhn5isIjh//k0REVlcZOULvVVu3QSDEI+CATjzBBwAk0Tx27x//ET7sST1LiGcSyoNZqFCF8RCjhoVHqvd2XGf1OfBQB/21dePeR1P4FW7jwYD+HtrE/NgcQGofisHnVU8RudRdkhdugZdgOpgJibH+LeIiMjM2IQEwxiTZBpju74IJuSHr7zOfeE8J6ehi5rYj+flpTu4/nWD1Tzs0WKTIrKVKSIdsIOs97oafvJZ6fdoC7QC4SOg/Q9jBIxdHgkPhz3wmAMvvPDCCy+88GJXeMzBe8IQoYLVJGJ2THf5KSIiPq74Zm/AG/w/UAfw/JmX5Bd+HhUMY5+F30GqB+j663/6X0VEZG0FOeTTrGKIxbAKV/V2i+jVJAxtsf3Y9DQYBx8RwuoSEMbiPFiM0T7k+KOBQxK0sPI3/dq5DUzABJFh60mozMvbrO1lCzs/fRE2t7Eaf/sy0Hec+X/LwjF3Wji2pqJUU90LgYzW1uakmAdqisbxXom59RHmsR85hhx8il0p81nmqWtUb/vZg4BuhDdv3dh1/h027nyXOdoofR8mJ4AsNGfXbjjSaFJdThai2cExOaol8QNd1dW9kehc/Q0i9Efo7ga6b9BNQ9XuxTx1AA38rsM8d5NulkPxhFt9EGZFxLGDqBSJ8bpnN6CR6EsDEYWo1VC/i0oZ2/YJOwGSOVK2IpwGM2HXdK6qdzzO+fvf/4GE6XgZj2FO2jZZF6KnqSmiMvaMuHYLXgItXgN1M1TNwWA/0HiJXfladOsMsPb+yAE4SFboud9uOZJjNUG5RFdCHmeJfRwa9JYQ6htaPMEK8/jdPf08dnwtT9aiUsB2eweA4gfp2rmPCns/NTw1MjX1WkuqZRyv9nVQN8nMBub/2gZYujw1B5pT7xvFNeqhI6bFOelvqzsl/jboUaIujxarffwBzdm35MKFH4uIyJ05+LzFyMYVcuyyaeA36r3RRa8RZRCFc1Z1QMUGj5X3orI7tQrz3Q6rQTh/HHHcaosQNRO9dGsNU5PD20Ro/yAme0XUypizJXY5Xcvg9fxlPJvGhjGPAmQPh/px7aJBehSwv0MhV5DMFs7n9k1czwU6YK6s4Lo+Tf+Yw8cxp77zQ4xPm3OtI6wMYXdToUOrdlnUagTtIKrXRLQB8E9FHNgf/pX7Y49e4KdB+A/6jevP4GkOvPDCCy+88MKLTyo85uD+cBwxOh03t6ij01GYwpWiLgAtIoNyGXnTt955TRJJIPhTp9Cx8Qx99o8dhzdCZhOq6xR7AmysY4W8xPxmD5G0aTCHTFSjufqDM6j3DRFRzFOFqzn7zOaqJIgm4inkJd1qC6KwmQlUL9R7se1SHqtpdWNboVvZTbrQ9aSxvX37UTGgHeFKZfUcAJLQuubB4RG5cZ3uanPIFfb3AtFdz0JVXOe+njrzIs6vp5fbpP7B0O5pGOMgKwh6B/C9XqKQQTpPWnS+U8e0OHsr2E2flGva0U5ERKTM/guaQ42yDjubwzEFfUATWiuu1Qqzc3DCjLBCYIC++MUSUEyjrl0phdvHOfssS2pEvjF6+5988hmMD3PjzYbm2vHjrj58L0jFt6qtwzEiIu6jSgSojoCK8pusAtH69uHRIamWyAAQXbSoYwhY+M7o6ATHEue9uYl5XaHGIsYxjSdw/Tucm6EQ3k+EOeZ17DvBDoxrnOO5XFUSKcxj9aFoq+sgGbIqGabtHNiGFaL3YGO3o+bsLPLcmTWg1FQMLM/TTz2Hcxmb5PbYF4S9CEJ0yltbW5V1upKG6Tuwso7zbbEixGE1jybHw9QopLq6+Tucb51jrp4TkRA+j7MTokFVvqLUSgmI++q770i1scHvgtVZWcRci4Yxd778EoqzIkGM5cY6tRVkOcbHtBcLrmGT7GaCjJ16bjhE0nrN2k1Fmh3XCTaewGtXFxkOejBUef8szGOsW6wYiUUwD7QKaiCP+2FgmcwlJ2mQz4Uesls1dpqsFHFNFu4uSDaH52KI83t0AIzP6ZMviIjIJqtzfvf3/o2IiJx9G90Way1eIxPX3zDUJJcMo72bSTP5vr7a9LAxqd2xpfneqoM91SY7Xgh7//tsyU8T5geC/T1NFB7wqTIGewspPk54zIEXXnjhhRdeeLErPObgvjAcEbNti62d7dhdTNNThvYFYI7e5mrNJDpbb2Tl2z/6poiIVKpUJMc+LyIiTzyOPP8h1gxXqkBIN26gQ+DNm3jtI0MwMQjnRIcd0u7dwso6FgHjMNSN/HA//f6bTSAOMRuuo2GHCu9QGL+x6ezWtlUtzbpkhwp4h7XS7CrXaOA8lzbuiIjI/AYQQTyNYwyZzF2zOqLRIepJJ+TAcdQpX38HuozSJhBSVxxo49p51s7TjfLQCVQQdFjXbNnYZpqlEX398CZo0ktgjc6B6mIYp6/CXfa5uHEVSvypmTGJxZlvJmMQjBIxh/Caz2FbpqM5Voz59jZYj+0tXCtlBnqows9mgW7vzqJyop9MQqQb+4tGiZz8IiYrXcSH33bIcIRYA04DRckTpSfoe9HDDpuLVMxrBYTjp66hqd4Kde4L1zRXwft+7UFv2FJvg5VRvw7VjEyO41rNTKFPQaWO36xv0pOitXvebLHbXoP7DtEvIMyqjmoK73fqeD/Wg/ct6Uh3L/t0jGBOUmIjtoE5Z+oTycCxqS+GOocWWZ6ztAg24sJFVhBQuxHg+NaL7IzIe9ixWO3Bvhjzy3ekY5K1YUuWPHULJs/HsbXvAf4+OIQKnCF6k7T5HCixckTz2KEITirGDoGWrZ1Gcczzc2DVGuVtscmYlMhwTA5C13P8GK5Fh8zKKqtXlNUZm8SxJFM4tu1tPB9M3otBuhYW6WdQ4nwoUesRDCjmbEmrhuMP92C+OwGMdWYT47J0j7qOMufLBOZLFztsqjYnST3I0cO4VxsNZUqwzzI9K7I5XEOtsEj19UuEFRE+agha7Pfw1luodHj5HNz076y+ISIidZvbCOOZZLV5vR2WbxFTu/1x+LdDVtVQXOzoK15Mn+EyBbaj/WH2uif6dr9ym+Ioc/AALcKHVCe4/gn3fa4s33sKHUQ9eKiTcmG+89BkBx5z4IUXXnjhhRde7AqPOdgVpjgSd9XbQmW4hr5vcplmi64sXUMEqVbwm3gMSHZrE6vyc28BQY+PM28fwwp5cgruej3MMefoBd9s4zVK98Im7QvnFoA+0lQUHz0KLUMwhO8VC1tunwKLWgPDxxVtR+uvqSoPIoeqK1mLHutT9Pc/dQLo5fot5H231oAYC71AFl0j+L7DboQU1Mvy0qYMUMl+8iTc0M6++jLHiKgqDmR87idwkizTde3xx/H9RDeOzQrimJNp/H2PiPHOHeSc1SFweAg55rlbcFD78++iOuRzn/uCfP5zUDrbzE8G/ESyDn0dqkAb6ohHgz+XKYowp37sCK6d5lxfYQ324j2g+i5qPAKsSFB1v8h9ddauSJo++/QhsIg2igWMbbWpeg462VXJDLjpT3quU5tRZYfIOHUUin4qFa288IvPVESMr9hEvo+wW143c+mlHB0ei5iDQnRbI3LMU1neps6hymMMKP0RIVqnI1yEPT6cdluyWUV8PBbOOc0NJ9P42+/D56k+egqMYb6QvJHHTsFJ74nHoOm5ST+AtTV47lcTOO+eHvxO0f/dBbA86+urkqYHwMYWNDbtDjUjFlmZBo5pdAb57wN0GlUHwRyrNFRj0t2N7cViWpWA99nUVXLsBlqmrqZWb8nWNtiKR07Cv2DfPrxW2c/iHquS1AlvfAJoPUaWZjuPa1Fkj46ebjIn7HugHg66Tw6rWOzh0GltS6uD81idxf29voG/DYcsRADPluHBCRERGRrEfaDzaHYWY18uYU5G6dmR7mZvhTS2E6M/RLEIJiFBT5dINCXra2AV1jO4btdnL4iIyLe/j/t4JYuuplYM4xDjs0v7XbQ7rO4xWLXjPsPVlZBsgNvnAsfqZz+JDhm5lm2Laei9qgwC5sGOGaHqGMgYaObf/fz9MfdexkC1BjuMgX7ivIcxcOUOIrv+tbMNdy/vu++fJjzmwAsvvPDCCy+82BUec3BfOIYhts+/kzGiMlr2rM7cfvdi3f9zqdfqcoIq7C98HtUKii5u3QDSLbOeO5GkgrcPaLOPr37mFPN5utFRzZymmj8YpKqfTm/r7Ffe07Pj0uYY+CzClbq73CRyDIf9/K7WmuPvIKFOP/PCv/wLPy8iIsXyce4bv+/rYnc2H/J9LfYk8AeATtY3snL9BhDPfiKdX/vN/wb75PmrO93mNv7WLnsD7KFg7ckRG3QxDNL5bZDdLRfvgUlY5zV5+gmg4EAU4/76q2/KEDvXHT0C3YeqpRt0ifOz0iHLmnnT0X1AQ2CSQcisYqxv34YGY5PdGFtUhCtK73RwLbNbWY6LXyo8D4uoxMe8dqutc0w94LGtHOvca0SQOul8rBm3XT92/L7EihkrELt/c65PRCwadGv989s4zu4U5tIQc+mKjJpkIWweiyq5a6z31zx5h66VVVJGfr0dLLAXPpMMCvPgjmFJm9UV+U1sK1fANm7egFakZed5TLi+w8NAwpPTOMY0nRF9vE/6enEO62sY63tzWg3EDpJJHIv6Aly5ghx2vV6VAqs3CkVeJ8LqBrUZY/TMOHUK8z8QxKAWiNYDZOampljP71aWsK+D6kF4n2lU6JxomkH57HMviYjIKPP4i+x7oT01tNfE1BSYsb4BImNDuzji2ijzGGL/EO0kqV4LJjUq1Qr1AyVsf2P9lmxlUClVs8Ec9fbhfA4fYhVC/4SIiETCSZ4XmcIizrNBhqWQxfuFTRybnrZFHUGyiy6OCXq5WJjjG5kVyebpy8E+J9kynh+52oKIiPiivH9C9KnQZiO8V33KWgm+J/bebob4fodulTZZohbvK3VDlVZEfGQrDTplKutnuI971SDsaapgf/B/p3urEvb2aDA/gsvh3uqEvX8+zGoFb3FwfxiO2L6aOJwohk4w0ksWJ5bhlo1Q5MIbOBSKyGOPnhERkS6K9u7eBY1p0yDl8mXYxiaSeGBOTOI/w0wGN1CAzV9MTsROW+klNlJhKZifBiJra7jJF5dYZheOiBXCA6bbxoPUtvU/HmwjlcSDN6QWtWzfmqQhUxcbLCV7sK9I9OCuYWqzIRWZTPf3loX/TB9/LCqzfEgH+Z/8PjY7irG8y+YYN2hMpPd6gPu2HT5ZOEMrpP6D/M9R/5MoUBzXatQ4bnjwPP8CFgJzs3dk9g4MlA7uQ5pEr2u7ubtdq5/Us98ELdpqqiUzTnR+HiLHhXugUVW4puK5HCniRh3/YS2vYeESicXE5ENcBXb6H6lJZ5lSGedXaym1jS90sfTRR4OqekNLFflgZhmpzQdWpE3BWVCFXdhPq9VyKdUmbbXVUjhEu2MVjplMPzVoaqQlePo4atPaWxdFmiIpFzDvgmw4pP8hZVkKWi6VJJHCZwYdxnTM6xVMgKsU5l67qik8vI4xHXfsGEp5Dx08yvMkvcxjjSdAt6dpGR7g+GrDoQ2WRvqDjmzS7EhbKXeYBgkzjTRJm9/ubsy1OptZ8f9bSbDlcIziUhVT1jheKmDtdCg6ZZOoyWmkAnv7h6WfFH2Txkk1WnpXuKgbGsY1SnHxb7hGRFwU0GRNzcG0pDfdg+s/NJrgeeP8r13FgvbKFZiHbazOST9TeIcOY2G97wDuk55uPmto5Vxjiaq4oKjDccCxJWn1btBcq20C2Dg29t3k/aTjvLyJc21WRSzaQ9++i+fjWxeQhmwa2IYVwHhoya7PwPn5NE8ieN82cA+qmNxmEz2nrUZuuAYRtuUOhfF5nOdgdNKS3WYTpzLmrcF7b0dwuNcx6WNS+cZ7kwY7W37/vII+s4w9wNUwPv7haHhpBS+88MILL7zwYld4zMGusMWxauKWwTgs9euwBIwrMpN0oo/L+HIVq5RI8D8AACAASURBVLiDBw7IE49/RkRESkVVtWGIDx+BgKpaAxrxB4CUohQvbW5htTpLG9V6E2h1iM1LeruAMEplltOlaEWqBi5LFBOtZSQUq3ObFCsRNZVYSqSI4NB+IIRkAttSAWMyjmOytGVthiI5ot5SSWl0rKSV6laqNxKOyLFjON8o0wBtooUs6XJtOW0ROQZ8WmKEUDGQshsBrt7bpDRjFD11s+QvzwY0CwugSJNEtZ/7/HNy4W2YOS2ytfSB/aBLqzWltPG+tpidmUIaYoOWxssrCyIiUigBlQTDWFMXiJTrDU2ngClYmMc1WVoFNTow2O82jCmSkq8zBdEkJa+Ng0IUqgbCQHwJtvCOMg2TpYGO7rNjE70TxTXJJBg00VJKtF5vSJMlijEa7kyMQwwbjeBvFT36+Vgo0qSmRfphYpIW3kSnapaldrvKuwYDOH81i1qu4dp85+WXpbsH5/PoaTA78Rjo/xOPgFna2ML1W1oGO+OwMdEbP8I1unABrXqffeZ5ERE5dhStfvOcV1G2W1aDKzWoUiZlmPfT3Xu3pElE7wtQWEz2qpcixhTZqQbTJ6EgWQ+KJ9v00W6qbTTTdX5y3AE2cqrxwZFIAuV39WB++YMxKZbbPAb8ppftrxNkPmLKwpCdqtP+WXjd7Y5+jrcbHcw5LYGMxDS9gtcJGqCtszSyLz0qMxQg940hXRihCLrC+1xFsdo0y/UEIoftp8mRzZRQsYx5UW3g+eNjqWODz5N8nkZngrkQCvTJO++CMfrWK2h5v7GF6+8P83wVVLdpl9xRtSfZDDIpjkGjrgjGcXQINuXpJM5xoB+vMxSZjozgudrbi/HJldbk93//90RE5Oy5V3AMJtkHV6COa6EMiGvR7BowvX+8X6miyP3pBGUDbNnB7XtSF+8RHmpa0trz+ccPjznwwgsvvPDCCy92hccc3Be2I9Js7OS1VWBiaG5ZSxc1Z813A1w5P3L8Meli45waDUTGRoEYp2ewYg1HNPelZTJYja4yP91kHvwCmx795Dxyg/19WIWnUxANDfRhxTs+CjQ3RuHf8vKKrLGV8MZtrL5XV6FHqBKtRmkhu76KbT7x6LMiIjI8ACRp06q3XscKP7MOxLyVRQ5O20mrrbRF4x01JPIFQhJhC9ZUnAiuSFvcbTAcPktRJlkHWvhGYhjreFpX49r+WAVIeD+RwEpfLaHVkCebRROsSgfnOjw0LiQf5M4cxGiTk9pOGsethjp+nsfwKHLCF66ifOrSZTTH6etXMRy1KFyst4hulzcxzoUixqlKRHng4H7ZfxDb1HbP+W18J858tbtOJ9LX/L0KEkNEX2223G1p0yRqUeoUDzZbyItbRCkOr5HjGLpp6esFU7Rvn2pJVNxI8ydeqy2aQEVoXBXjmKvYbS2DedEkmp2anBCRHSOmRpMNfZiLrtTrcu0sxtRHbc2pY4/z/IBKD+0H0tvaAPpsUIOR5DxyiBQL1HfMz0Ecup3F9R6f0HJDjOvaKvPHZPIGB3Ef3p69JS0i4gpNgGJkZwaHcG8l2Yq8wfNtsATYR6TXRXaiwHGKszRSyIKp/06bjcpMCvN8fvyu1TZdZrFD9JlKgXUxyFq2mtSoaAkiEaLdIoqnUVmFc21hCSzZHK2OQxE8L2ZmMK6JFHL7hw9DG9VqNCVG22sfxRStBucULb+1eZeWSGvJr49Mowq4NzPY9+wdlCEGeS/nqth+LKEtoMn28ZpcuvCyvHHxVRERyZSxjVAQ173NUsVUEjqewZEJjimbWVm4hl20Zh4ahCZlchzn29cFoWcijudylIycarhUX3DjIhiruY03ZHWNhlKqZzB2WzArU2CZrkKR2/wQrP0AxmDnbfu+r6rq3dz1HWePlbPq3u7XHDws8sBjDrzwwgsvvPDCi13hMQf3hWUEJRmclnodSKDRQb5Sc+mWpStFXWFjFdffizzmkUOn3eqCNnPLvWylHGH+0d0El3da5jM2ijamaa6AewaAXs6+eVZERJYWgUp9VNv29RD1UMWf6Mfq/Pgjh2UwC3R04wYMgSpEPBsbUAKvsB1qkGZATz0G5qBUwnlreV26C0gozhKmsg+reccmOmWDonZbS5NoXJOISIhlXyG69pS5+m7RzKlGdXqBjWAUESly8ltY4atRk8WWrIr2WkwQpzheFumB7bdp6MJz3FzPu+xMlu2Cl9eg6zi0n02xjkKDkFkHgixUcd3vLcNQZ2kdr9sVIIqEKuLTQNIdQkRt2WxzXpSY775+/bqcfhy58RbR9MWLMH+K87hHiVa1eVWhqI2UMLZBv+o6mP9sao6VzAB5rAbV3Gpo1WElQasjYpPq6KdBlebU2y1FhrhmV65ifDa2MB69g0CbNuX4RZbiBfyYewWyQTZ/H+1H1YqPLYp9PEfTZ8g2G+hcuwFGbID6l9FBzP8DB1AKPDeP0t9bt4DsQtEAt8nzYkWA6kLKRVzjmRlWf5Qwz/LbZf6NuRtgZUZvz4Bcv7PM48b5TE2Bdejj8et9U6SeRVubjw3jc21YVaRxmcG/ta5OtQhanhoK4drW67hmqxsb4g9jfqdpg+5jHlvnWJwsnxozNagL0XLqjqbk8bZEBMc2nMLvTbIC7SYNv4qcT9SD+EOG+1wzjN1mP1qNoyyVWnXXaqza8FObxeej45YL4vdzd3G/BJQVOgo0v8kWz2/zHpifX5JCBe9Fw9SB+FlBFQXLdeaxL+L19Iv8Hu9BPF5lbGyM7+NZ3GrgIK6/C23F8tKCiIhsbIJZvHMX7MbdeziGRT4Tcq28WykWoBal41YpqL5BX/Y2RfpgzG4+oPxQf7fDPNg7bml7Qivl9m5rZx8feAh/qfCYAy+88MILL7zwYld4zMF90dPdL//w7//PcvXGeRERuXLtVRER2djCqlaRoVofM/UufX00apmYFovoqlwGQgoT8ayuUvHLPF1EVchaY0+UFQoAMR87BDX3yAA0BdksVsDpND7v7cWSWVsUa7oq4PfL0Chy6uPjtEE+DWT87uV3RETk/I/R9OiRY1CIh9gg5rXXoc5N0KL0yTNP8vymuW2i2gry5WoWU2XOOcnWx91dCWmyyVGVKFwbg/T3AyGpx0B+G+jUz8oPzX/WiLqL29iOnzl3bbEaIBotUUehZi9T08gxVpgH/sk7r0syxW3TrrWQBxp1bMCtmSmcXzwMJLxaxucFNtRJJMGcNJr5Xe8HgqrepvlNhzlZonltknTt+nW5du0azxv7zNCi9toq0NXGOPQfBw5Co6Jzq1bj+RERRGi3vF0k2jfxRZvork4DozCbZ7mV07bjoo4BtrvWuapsRp46h5u3gaL8nFtRVkyoT4zqO3IFXKPcFisouJ3Dp8HIqImY1vs7YrjVJapneeci9BzxGMa4rwtz9+AB5I7v3IVGQc3Eensx/4u0It6s45h7upFTNgj7fvQjWFsvLeK+2TcDRqJvkA3L+gbk7FtsJz7EFtxkVLTCQ63MKYSX3m5WMbAtu82qBW2vvrmB+8Ima6O+KNp23LZVq4HnyVa+LFP7cJ6qRQn6WAlB5k0rIAy138ahuE2fdtyAcS2743hexCL0D+E1r7fVsIgsQEfNyEISJosQJjtVp8bCosdENIpjCARo6qTsH429cjmc971FNJTa2MRcjvO+CUZw3537CdD6DVqcD49BR/C5lx6VuwusaGhjW8eO4j4+ehCNqMaH4cHQFcX1U4QcCmO+Nyo4n+UlaLXevQLtwtWrYKByBWx3LQONyvIajsExqZuhlsUf6hcfn8ltW82qeD/r9RaGuZsGNp2f7r/TDwL7e5kC261okF2v7iT17JO98MILL7zwwotPKjzm4L5IJ7rkF1/6VTlxAF4F52fQBOjG7Jt4ncNrvgQlsNHCqjXE/FhIWtpzRgJB/GNzQ9X5rO0l0tvOI/cVZgOa6WkgiFAAKM3P/N9IN3LR+yeQS2OpsWtS1mGCsE5Vd73dFj+bkCTYnKWnG6twrfGdnoG/QZT2ylv0Q7g2D3Qbt4Ac0kl8rurzEBFAbw/ruIny68yxt5v4vFxsSaPJNr9NRTj4W+1sIzHWSIewL1oxSJPnE6AWoUIdRDmDvH8soU1dgDqaWjJC5BTxA63smwTrsbyUkcUV5Lf9rDLIbwPplopEOETjAwPIwS/fBeoolLe4cQx2Mo5rUWRDou0MkEUsDsSltsNNskN1VjE0ykX50299XUREokHUurdaOA+TdthztP8tUZ0eolNkld4EWs6cjOD8Ng1c2zLtiDu0zK63cU7aDCxAT4JWfceyuZu6jjDdJHvoU3BvVj02MGd76Eng59zdZNvtGJ00K3TKzNeIWtjieWV5neOCObnFygyfbUhvEgi/0QLqvHwL16ZnBOPyTAQ58xlWLYzcgQ7g0kXmpENA7W1egwZzy10Hcf9oo6G3L7wmIiLL62yP7MBRMZaEXXEyFpLxYaDQk48CbZ86yXswgnkQJPsSpiV1MoZjNGzM3TKZk6aDOV2iD4aP1sa+gFoWA9Vu5zCftqmDmJo8LLEQmTR1owzQ8bOsDqK4zk23Yop6J4oO2jabZNmoMKlQY9LkuGgjOIsOnaYf+/FzfhjNpAhZyyZ1P0VWyJQrOM4E77lkLz032BxrPQPW6/xl6KKy67jOJ07h3hucAhPzwze+IyIib18HSxQgI3FwAmzAydEJOTqMeREgo6q22NEYzr9Vx7bvbrCxFrUXBbbwXlxcEBGROwtwQ51dRfVBtpHl+NDavK1t7OmG2tRKDVaN+HaqMdQ7QK3KLReU72737CoFnJ1qg/cL3wN0BDv9ol2Xl52P9J/GbuZI5Qmq81DHRNOyPIdEL7zwwgsvvPDikwmPObgv2p2WZPMb0s0Kg6986edERORMCUj75ix0ABcvg0F4+8fIb21tYjWayZRkuB8oIxjk6pu5c5M5RJtq+7ffRv5f29z2dAMxGcyPt7lStLS5DQWzqkovsglOlcrhNnPOkUhE4iGs8C3XNYuqYubIpicmRESkRrRSpyr7M2dQtdCmo90AFeSdDv3p2SQnFKVHQRir/DAV5OtsT72ZrUqIFQ4WFdz5PFb+K2t4nZpm3wY6POZz+O3deSDEMKsc1BtfGZIqc9U19pSwLPVYwP4cKvKDMez3+MlTkskuiIjIzVtAHQE/kG9uH1BaenyI+6TzpduyF2PbqHNsw9hXlK+1epnjo2pt5nmJioPMFxcLVbl8CR4L2hinmw6X2rynUsnzFfvS3gqRKOain4yS9smI0VMinwEabVAQEIyzLXeVlSccf78RlhSrT2J0EYwQlUXoaJhnXtbv3+2+lmNDKq1K8WvRvaMtn+GGaRBJnT0LF8MnzoB5U68Gn2W5vgs5sgk2GaLr14DwT46CtRuZxjX58hdf4nhh25VNoNUm5fmpNMZhHx0oL16Ct8e9BVT3BOmdv0xHwNsJOC2ePvlZ+ef/7H8QEZHRCVSdpHsSPE82EmMO3uJjsq4Nu6r0+W9p9Q6Go4vS+VoN9+YSnTXvLeKYtJJkbBz3VW/vgKvH0PKDFvUKJWpKijbnmK3OoLsba1VrrCCosr9FDexOm8xdR9EtYWAgiO2EqSOwO2XXpTHi4BlUpmtnmahcZ0OlgntUm31po7bTJ/FcNHmMU7wWwSSrW6ra2lp7uOD+maD2xe6Y4uN9rJ4qly/e4nmSBU2Dtamwm9MKfWFWVqnfyIHNLTfAWrW1pTnvo05N3Qkx11umetjgc5+idrvk6jj2uhOqRkerObQ654P5gocTxh5PBNP1N9BjM933PZ8DL7zwwgsvvPDiEwmPObgvCqW8/PkPviHDQ1jZT07BQa5vECvqnqfQhvnAPiho940jhzZ7E2ikXndcFbFlUi3eAVpgKlBCEbw/NgYNQSiE9Vk8oXlLIL4mle+1NtBMjX0NFIXp6lBbPKvffcewpM6OhloZ0aZvQYQ11eqQqK57w8y99tF1sU7kEGDOtVTR7nLYpy+AY1YkZatjIlu3Gh3D7cBmUjtBwkRWloHgtAKki8gvEgbqcpg7m72nuUUcizrkaU215vsCbPFqcJ3bTS1CpAtocGBkWB6lA+RlVmusrgABzd1Bx8xj7PAXj9PVkVUNPqqUMzkcc8iPfcR4LIZ2bWywrTTZHtvGNZqexnZNmZSVpQ1uG+fZ30cP/Si2pdUX4RBZCBe+AL1ms9jH7bvIpfp9uHZBn3aQZAvaBisEWFljkUVyTFMGhpDf1g6HlRrztQtAXSVWYRAwS5lIsV7HHO6mWl/zs9us/z95EtUJKfr3/+f/+J9wLtQmnDiB3LLj2LK+hn1lcxiPDhXhbarpV5agJp8+yA6fp8FK9KWxz2/+l/8sIiLVLI5tfBzjGWe3z0OHoFFIJH5NREQM6iqi1GqMjaJqYXhgRrq7Oaeo47HZCdGnbX3pEKh9QUwiRWU/tMUzyRzXNyLWYpdLMnPlMlujc7sDA7j3bdsQmyhcQSqLU9yKAJNsX4AovcVro8hR3VrVo6LeAEonwSYROgJGyTik0hinRBLzp15vy9oKWJxaDRvXOaROqFpZkmA10jYrjMKscpqcgGajyO6b+jyM92AfqSjGfnxoQkREmtQyrK+AJVgsLkquhN+WuK90CsxRbz91PgWM9d1FMIZXbkBbUKqy30mcfh7q1dAgM0BWb/8Q5tEjJ09xP5j7b10Ey1Vl51Wf1XQZMEcNG9z/JrlN2RO8dpbp7P3koYWjVQp7PBF22jXc//7D4Q485sALL7zwwgsvvNgVHnNwXxSK2/LNl/9AhnvRY+DIQeTSjp2AH8DAEGqwU2k4xr3w/JdEROToIaxmoyG/NJrs0EbUHQjudrqL0QHvM59BPjbEHgSK5gsF5Mw2WTtsUkncZm8Bm/0e+oiQg0Qv6sLmOLa0GlgVt/esZOuEJXF6yGtyrUo3OfXWd0x8nqObmuYvtQ+CoytrohZ1TNNa3FgsJsUajrfG7ogGp5o6SBa3gDrX13C+qQTOp6efiGGY6Ip57v4+RYgY1w7Ho8mc6/I9MBGz9NpPt5DPPHbomHz2c18WEThYiojcvg6FfJOq/NVVMAjT07i+k9QgvPAcrtE3vv6nIiKyzSoH2wFC1ooC7YRYZ08Kh/nwIwfR+e306c+KweuWSmofefXKAEorFYkulWJxtB89O3+WMY5DoxMiIvLORXhxqB9+rYHzXVxCd7s6nTM1IRpKRmTfDOZ1Tx/yt9evoipjg5USQbp4KhNSoyJcc63qxaFe+4UC9rFO/ceRQ2BKxsfAvG2x7j8Rx3w6fOiA66qpPh/+AOZDhsr3XA7zwUePBJ+lbqSc323M2V46Cg4O4F5sUx9y+DCYgedfeE5ERJpkVLS/gWOzCqTUkk1WVzTYXbFewzi0WiX+lnPX2O1Fks8BZSojEA6BKejqwhyNRnCNh/i8SPP9Yhnjql0xbTGlyTnTorao08C2le3T70bi7GLKJ3aVHgPaS6NY0X4e2osBjFEsxuogHlOQc1aV+KFgSHw+OkGyW6LOSVcX0sFv981MiIhIP+fP1hbHi70YbF6b/JZ2Z8RrNIl9psL4Xc1hBY2Bcw4bcQmxe+QjQ7j3JseB9NsO9r2+iXt1u4Rj27efTIGAxVhcv81jwXwZ4difeQQ9JD7/zOdFRGT6IM7he2dRQXHh1ts4Zo5nyPCLYuaOVivwOadsqKvh4sXYcSXU0qmHHzaf1W6VAhkng5VU2nMBlRYPh8HwmAMvvPDCCy+88GJXeMzBfdFq1yWzdVPy7OxX2Mbr2iaUs2MT6Kw3OgFkNDUJJDYyDvQinaZUKljhthvIsynqUEaBBIL09WFlG2XnMu3GODEJL4KeIWxT815Nrs4trroD9G93xQwMx+m4K1pVzyt8bNC1cHEZSu40O51VqWNYX0O+MtWFfK/FfL5pagc0bo695bViokF3N8sBGozEklImEmo2tKcCTrxcxvulivZnwCZbPP/BAYxL7zDOP0Y0Gwox36dKYTIHNdZxDw7id/8/e28aJNl1Xgeel/ueWfteXV3V+4oGGltjJbiIoCiKFEnRkijJtjxjyaNxiKOZf54JT3hmIuTQzIQthR0em5YskSLFTaRIAgQ3UCBWYiG6gUZv1V3Vte+V+5755sc5X3ZXAwRJoRWErXcjOrIr8+V7991338t7vu985yytEMVG+4lWu3t70SiJB6I8/dQU0aXfR5RVVV9n5xhBiEpt7/0PkylfKhBJPvKNbwEANqUL0dNLRBhW7rVSE/JSFUNN+3XaYai8GnX12/XlNaY8r3hSnhI+7qut656Xc11SPIgTtzBnOjDISMGFi4wUPPMsVS/zW0o2S0/DRNu6u7owqlpy8+OwGvmkohkLq2KpF9k30V6QUN/sGhWL/L5PPvfBoKFR9vm97yU3p6FolrVjx47ggQfpwjg2ltT58SCPPPIoAKBHVRkxKYsWi6qoUf5/fJT3XDLMcdp/kNoEXUOcyzlpLpjnQiLWpaMr6iHiTL1ZQUH+FeUy35ub4fVfkLNhWJ4AUVW+1HR9zTPD0HcsJqe/K8y12xz1KeIyNj7Bvo8zN98yF8x2E3nxPHI5zqmMgnrxlNQFVV3gC3KcHGmqbK8wwrKZ5XlWpEQaCitCYM6PQtLFAueDuVXGxEVptQJwFOlyNR9CqkYZGeIcS6bDOz6PKxrR39ut8eC9nBrkc6NbuhlWodVoibMgjZOE9FeCPnOvdFCxyg/NIdESsJ3l+8PD7O+4no++EN9fz/JZNr/CyGEkxj7t6uNc36VIZF0VJF9WFPDRp6g7ks3JgVHcFNRCaLbt+ihiKn+XvkF5qShCsL7OZ41xTgJWHfYj6hc6jopq16wVnJ1vuK9H/q/3UrjRp+EmmirYMW/6Hr3mNa95zWte89p/1c2LHFzXHAA+x0W7RQS1tkYkUKhyVb+0ynrlpXVGELJ5opapXcwt93b3IKQ62ja4Wo5JMtHq/jNd8lQwCQIx4q0OOay6fstfX5rmMeP6/vAAEfLWJvN9i4tcObuQv0E6jlgorv9zxRswVUWX22QtlygUm04RpW8qr7eySEZ5VzeRQ1eGK+Z4XDm2gJQAlatt+yx6YVENFyFVNJg3QFhueO0m319eYpTi0CGO5cnbTnEMteIPBm2AuIreWOfKv1Ag0tra4vm35ChoSNvQ/PAY99OuO8iLiVyQDGNTnhCjQgKhMBFuTflen1jm5s53/733AQDOnGYt/rkLUlDMcfvecK/6auhUFRpV9j2/1cBjj30XAPDiab5Gkry+XV28riOjnEMj/RN8HWYFSXe3RZCk3xCS6mU3kXJKanQVVY6cO8sc6oq8G+IhXrOuVA96+7iveblNbm1zXjc0DxaWZvU39+V3GK2oC7UHunnsXWNEb6OjfB2TI56h/EhUSnry6AgEuP/e3jQCPo71yy+Sbf7MM2SLL8hF8zc+xiqDgHwrCoKQA2KtJ29jH0py2EypQiLTQ8TYzMq7YoXzbl2RJEOB8QT36/O30TBLQ1WERFXR0HIZKWgLCRpvZmmFkURzBk0mWZ3giHNi/gdt6RmEdB8mk+YwyvGsCSVXqgUsrvD+bYrnYO6brlj3xbKURnXvmnJgVveBRUii0hxpyRfBUcVMtJdzs1axqI/poai6odzsODb6dW2i0ueIxoznYLwYzimrQApKOdXpOINyvBIpjotPqoyVml/b89oFAnGNg6IZgTBCqpxa32BlUFm6DaaDktZ8sKhDscxnldvi9R8fZJWK4+ccr0jd9Nkf0M/h6WfIMXjlPCvMclXOi0CM45tJ6VnnjCKR4vWakB7F7j3c98guPg9mFFn6wpc+xT5vcl9Op4IEb9h+NLY3jN669lbHU2Hnt695KkjX4Maow01sXuTAa17zmte85jWv7Wg/k8iB4zj/EMCf/JjN2q7o847jTACYeZNt/9J13X/wVvvlth00K8GOGhmUky5J7z4rp8XVba4Ut1SrvSGUNtw/hb27iYSTUtmLiG08Ki2BYMgcvyzXKH92+SGElCsMaPkZ14o5LCRtqnzT8rv/3hPMg2cLXHFPTY1hrxzMpiaUnxVb2B+UyppyyCXljoPiFgwMEmWEQ3kdS0jaRyTY1y8FOXEOGlmuLWsar5a5ljXLqFndvVCVRQ56e7lCHxp5JwDgxAlq6GdSyl+WzNmQr6tLHPNnn3sSADAzy0jKdpbIoSZGuamVjQvVfvSXqG45MbYLIcu79zKSUilz25x4Dz3Kv0ak3BaWB0Mpz7GOy7XOGNCvvUYOSiEvHwRpFQSEpPxy6Ws3gvp+H3q6GcnY3GK/K2tEjPBz7KZnGK2JBoiE0hqP3RNELb3d1EXYNc5rOtA/rHHlsR647yEAwP69rPL4+iOfAwA88cT3AQCOE4bK9XHhAvu/Ju5ENMJ+b+dV716yqAbH5cB+ViHce+ohvU90ZlUMpilvGhxZ5eS7uqXhoGjYV//6q/jBc+zPphBij/QoPvABXq9uVaXUVKVSFxqPy9cgE+X2JdXOmwrllqI4+QL7btUeprznmD6G5pXr1ODCeECct/GktBB2M4qzsMS5trAwoz7xesekMNnSPCmLUNJQlMyvOX/nXax2GVFkxXRCGqqwOXv+FVxdYHQyoahctcjrGQjw1dFc6u3hPmMRnr8jFr/bEgrXaQdVHWXeAd3dvGfrIjvZPb0l1ctaxUG7xedDWM8aq4AINFRL7zcmPPeRF38h4OdzoyoF0baUVMNNjrnPXDkVKalblYt4R1ndP8lUpqOhUNMxzUMmGBJvxVV1hrQ50hEeOwI+s1ZW+P6sIlCvXZID7St056w0+BzxJ3mu3THeP3uneK3vv+cdAIDR/kPIKFKakgaLT4qhm3nyE149R55PxxGzA7HfvErA8ZuGiX5fbuQgdBwWX4/ZX+/CeMPfxnPx3zydg59VWuFlAP/7j/jsPgAPAXj0DT47DeDLb/D+qzepX17zmte85jWv/b1vP5PFgeu6L4MLlDZW8QAAIABJREFUhNc1x3Ge0X//vzf4+GXXdf/l31W/otE4Dh+8B0W5q1WKRFYFecaXVP9dWjFWtxi2TSHxbAjba0Qjhya5MjWVPBfSDFC+si4Gb4fZKqTTEBKOSTHv2CHyGja2uDJeXCRLOV8UP2CdiPPiFdbubxfnEaoRfcXEzi8VuQxPyY3P1Bhj0p0vKX/p93HFn9bncXnC13XeW9ti/QudVIUwWsqVrUs5rV5axfqS6rXrcraLEJUdPcL65ZExIhpDUwsLRDJ12SxG4lw9X50jwr50kQhrbYuIs9HiOBXFD5C1QAe1Tg0RQR/YPYlymX1ZXOJYDQ0RhZtue11+DAnlRNstOdypdt5RVGJslNGfCUVkFpXPzm7z2qTSRNpWIlA3t8qGD/v2MEIyuZuRgKvLnFuwun/lVtuqSjHnx5VVHmN+jvnuM2fonHnLcVYtHNrP/fao7v/oYUaN9u+dYJ9HeLxytYCXX6aH/fY2505V7Ps1+RUY72XvPqKpW0+Qz3BwP4+VkM+DaVYEVDFjWgI+vyokXM71rU0e5xuPfg8A8MTfPIq6cut9Yrq/+12sP7/vFDknxt7v8EPE4whobvpEDQ+GOV5F1aevyTFyWZoNrTqvZSJKrkKfcvVDIxyneMpFSdoR87Pcx+YGr3dSEYSSqnCyqspJZhSFUBSvqgiBRYMaUpR8513URxkcHtB4KN+viMzLp38IAHjl7GmE45wj5svgduYOAADRiDl+8rwvT6uCSpVF2SzPIS7diKkRzsHRUZ5nJKJctdRSG02bX4wSwY10IkeNhjxFpIhpFTRRVQw1dZO1TL21avvi89AFx9y4BAmpVkalsWDIOa1oUVLnnC81sLrO+e64pmjJ7gUUOTCuSkE8mZq4XWhwvHLyGGmUeK26pKh56gHeD13DjEwERcDqS6iaoYe8gp4EnwlthDt8jrOn+ey5MkeOwasXqS0yPc/rVzAtEUVSf5y6QIcfYH4PrZ3VZG/UXhcxuPbJm/55M9rbinPgOM4RAHcBWATw9Z9xd7zmNa95zWte+3vZ3m7VCv9Ur590bbm9sw07jvNPAfQA2ATwjOu6Z27WwQf6R/D7v/d/oiy28ZwqAS5fZtZiUR7hpuaWSRP9/NwD7wcAFAsunnqSgY+KmO/9qmQIySXPmKzGOo+ELW8nBTitzn0Q41kM53bbmMS8ZMcPETFCCLrvea7CA0EgmCRa2ihz25IOWlAFRDBrym6qPtD5F8RBCGgNbApvgTDRyPQc0VnDVXQj4upV6KTO1fv8lQVsrhIBtKTwNzrKlXlCUYm1daLWZSkkmkodfFI8vESlw6efZs5wdY2IKRxmnxNx5gOTYj6jLSQpFbqXT5MFf88Dd2J+ZRYA8I3vPgYAePi97wUAHD20HwBQEeIzTX1j65f1vl8VE+MDRDyHJhnNiYeYe78yz3mytSUPgoxqyFWJUm5sICq3xMEhRh9mFsjWh6pMarr+IalatlV7Xq2zD6a4ubLMCMrXHiNv4NIMIwM///73AACcMBFRf4bj/fuf4C119pXT+OpX/ornK2RYlbugX+z8976Dug5jYzy/iBBlLKpKE83NpnLvK1KWLCsPbAjUVc7ZkWlBNi/+SSCKXZOcU/v3ErENDJOj8+pZzh34iGhjhjrj8o5Q1UJR+W1HEQUXqshpEzkPqSLDWO1x+WBUpaU/Lc5KNBnBsaO6joqozV7g/C69ytegohXhCO/zWpP3TU7s9JaiXOEg+3D8EDUcTt7K54GpPzabfBacP0/ezEsvcU739/RieJj3ajpNpO/3sb9h2bXu3cPnh8HSxx5jtnVVqpTdPcZN4XY9mqO+sCKR4DWuCs3XxG1qWoWBW4Lfz21aTV1nzfeqnoNBVauE5fvRqalXhVBc86MlNcuAeFUyBEUwbNUQ4qhU2Zeo3l/ZWML0ZaLxrn7jOfD+rusYFUVOZq/I50Q+Mbt3cz6NHGWUZtjHv9uNuzRudg2Nu8JzzaR4zbfXOK/OneVcvrK8hkvqy6UrdN3dyvOeK9V4bNdnz2a/zss8OEy+EGo7CQLtG37SHL9FDORDc932nYiBcQl2eCdce/8miSG+YXvbLA4cx4kC+DgYY/lPP2Kzd+vf9d/7HoDfdF137ic8zos/4qMDP1lPveY1r3nNa177b7u9bRYHAH4ZQAbA113Xnb/hszKAfwWSEa/ovWMA/iWAdwD4juM4t7iuW3orHWi3HJTzYcRUp3vwAFfhu6RstrlFJmxB+bq0aqyPHGBeq1FzEFVEoNpQXlcM5nrcEC5fwsrXVqVfX60aG1mRAuUeN5XHN1W2UIif96qev7+fudRDB7i2WVtbRhNEI66tWNtEPPPzYl8rAjIhLQBzRtzcJHor61gzM0TrA8q19w1xe6vnLpfM913IWyvoVqvWyXXmtK9z57ka9yvn5wiVmYa85W1fOs065EtzDAgVC9vanojRGM4F6dqnEhyHREw15X6O/4bY2J/69J/Dp2NubzN68/0nyZjvE5N7sI/XcX2NyMBEJwVsOnnfsN4Ii0k+OkIWuqsc4oUZRgOsgsL8E1y32akBHxTfwSdYVVHOvO0ykpJJmEWgFBJzHNt0yqd98nt5qRj+8DTRTalKtPuBhz/I/RwiskqI1T/Yn0Q0zOu2pbHeO8U58673UNEwGuNYbm5KLU6wpN7gmF+Wb8VrYmtfuXJJ58JJfe891IPYu5s595ry27smJgAAs0sX0atqhMNHiNpXVuWl4LK/4xN8TSbY74gqScqKcpSKcv4USAsJzcYSSfWFr4USr/WVGc75K7Ps6/Q0Iy49/f0d5r+pTaalStgr98mEXCWLlzjXGuA+4effphNy5wnyJR449a4dfTbtgovSxXjpxRe1f47B1NQeDMmhsaeH8yKqiJgx2a3O/cI5ViddvsLzMb+KQfU9Jk2CQp59MpXDsNQrm3XjE0ijX/ut12soyZch4mcdfyxEVB2PiiOQMm0W3RjmQjnC8wjqflhekbOm3BZzTc6zSJjj0FDksqSI3OgYz7nRyiKb57NmdnFtx7F6evvVX3EGgoyUjPVz3DI9/DysvkrmAZU8+7QtHklTfYFfFWdrfAZevDALAJiZZfRvrXwFxRKfHcWKollyuQ0oUuCA86Rhzo/6GfWHOD9aFiFomweDPBo6kYO3APct9Kwb4EYxRde9ed4Kb6fFwX+v1/9w4weu664B+N9uePsJx3HeA+BJAHcC+CcA/s2PO4jrure90fuKKNz603TYa17zmte85rX/FtvbYnHgOM4hAKcALAB45Cf9nuu6Tcdx/hO4OLgfP8Hi4M1ao9HG6lIREWmu++NadZrbnup4DXGgyeErqra6t2sQh+UKl88zJ+hTcbmrWt+wkL/TNo6BzkXHaCnn7JPGfFhKg36H389n5RhXI7oz9UNDqV3dXWiLNWyRA5+Khisl7nM7a86Aqs+XzoGl/fMFaQwI1V2c4eve/czRj44RYTg+6ZuvkYOR3eI5p5MJuH5FQhJ+jRERweoKc3vj40StTSkcXniNyO7KtBQfhdojUk6r1YmUg6rFrirv3SxwJV1tWZUHt49qYF548SUEpDqXzhCVTU8TNXzn8b8BALz3Xe/QWHK7qlVAdNjZysFqzBtmOqAqhskpRpYqqnJYmKOSoqsIi8/vhyQgOnn8lqpWrGLCXqvS+Te/CkfOdY7UJ82FMSg0Ek7xmr76Ko/ZLw2Ck0ePAQDyWaKZ7a11dHdzW5OAv/224wCAqUmisPkFMsGLJauF59/nznPfz/2API4NaRQExNo3Hsh2jvPDHOTsNZMmAu9OJzEyxP5FhMI2VLURDRiiZR+jyik36lJKzEvFsiovCuWMW7qPVtc4R2evMuh49jVWdVy9avIoHFfzgWg1/bigPHOzzuuOuqmV8rr2yU0xJDlT07UIR3nt9k6R73HP3YwcdGV4nlDEZG6Gc/npp58CAMRiPLc7TjKycvjoUfT3Ej3PL7D/q3I6LOkaTF/kfTF3lfvyqf9pcQ3KumlXN4iMd3WRwxGP8R5tyNtkQ0qK66tE6M0GI1aBYBN9A9KMUEVVo8znXkzRyai4E8ZBQMC0WriPgu7tzXWh9TXN2YCeaXKeXVnjeE9fZtXMaxd4Lo6/gXPnZwFcq9YwTZWoxnp0hOM0NLRf58fPtzek0qq+F6UEubbC6MSKKopyBWadV7cYgZmZZx/MYdN8aOr+hU60JhiR26SAuPmjBMwQRvekz2eaFPzbb6EVk9Z4E88EbXHD6+ub+TIY3+P1EYMfc4i/RXu7VCv8OCLimzXVhCF+E/vjNa95zWte89rf2/Yzjxw4jhMB8OtgNv6Tf4tdiJba4SL8rVs47MfEVBoNKVitaDW+qlpzy5mZ1Jz5tvekiSj6un3wm4Oh9tmSLvviHFeuEVUf9AqVdGeIAByhr4bcG/N57sfQRiAg9T2/ohpigre0nDWWfqPRRNPlajgWsQgB933sOCscdu8e03cNKXFfbdfUGJlrs9VqVkqBpjUwPc0c6ugoUWChRCQ5fYkIs6cngdER5kKbLZ7H3r089uhQr45t6oM8v4lx8hrWFH3Yqkh/3hXClieDIT+f1Noa0lrIFjhuuRxHPhMhsojF4yhpX9uKuiRURH358iwA4PthVpjsnaJ+gTkhumJ6h6WQNnuVqMuqOlS2jqRP/ggjhtbkc6+oSCDgR0A54FhMegYtQwLytlfNuFWCTIxNAAAOHCBSmp/n/FkTQra8Zkks/rSc8PZMETlGpLS5vXnNYXFinBUCE5qdvfLO2N7g+Vy4QJT6xHPkfVh+3iIIJVUlGHCKxInut1V7vpll30ytsoM8FGk5sG83Du4nmzyqyIHV568tEX3WGn06Bt9fWZZeRkMOkCG+v7TCaNW5C6w9v3CJGvqb4pU0dY+GJY8ZEvs/ppr9YjGHy5enNWYc4/V1zvtClmN68ADHcnl1luPyNF+P7OP2v/zLvwwA6M7wuruqCNjK8X6YuUp0OraL53TsGKOKY2PKl3enkSsy3395lvfUBekYbMs7xKBguptRr2CA59MSecmvSNoe9XV4mHPYEObVGT4WX3vtNHfXUpRTPhnxWADtujQ1FF0wpdOINCJa4LErejaVFEFzwfN0VKXgbxDdB1T9sLnF+XB+Xfn8dc7hbJ7fq1wp6jh+JKUzcOTI7QCAQ0c4V0Oq5mo1xOWqcN4sZxkZKIpbsrzKiNGa5urGJs9lS66LuQr5YpUG/662OL7tMM/Fp3si2O7uRCFMr8Mn7xgn0tT48JgBPRcssuh3dW8r+uFqHP1+4V3nx0UOfny7FkHYGdXwdVQV/+tXSLy+fRRAF4CvvQEREQDgOM6dAH7oum79hvcfAvAJ/fmpt9qRUmULz5/5NDIZ/lD5fLyp0ykJqsQGdFxeiFKBiwIrQ4uEQ9izhzdntcgbykSNSvrxNrOimsrJigV7+HEiBoMi7On6Vqv88fP5zT5UYjDqQzTBh6U9sLO5LdRLPIYi11CUEBER6+wHykRPzJSmt483aFqhaQuvttS3WZF2pqcZmruokGc0JqnWXj74c7llAPyR70lxETQ/xwdx2kx54v36Ln/UDqusMCvhqSuLHK+VNSuz4sO9oRK/aNTspGW7q7SNsjIdCexiuYxyZad0bC6v0KxIoqU8zYrm9eMf0oLFSIJBycdub/CBZMIzdaWVXN38oTjHa3BIxK6YGc0EOrH8LpE/4wn+sM7NM9SaSDBV9dADDwIAfuVjH2Ef9aP/R3/8bwEA5y8wXB7UYsOvhd1HPvwxfv9+lmm2W9y/PfRikX5k0j4dSwsnlegFfPx7YZ4/VE89wzB4Lsu/TfI7aCku/UDVJAJkYkpVKfdo3doxoomE+b3dEyOdRcHaCm/1otJCZqBkPwYbMgHT7y2yef597jxJn+e1GFjdIkGv7UqQRteiY4Kj8TGH83yRP0zbm3mMjvI6xSW4dUVmPdNaNI4My3jrbuKP3eMcp1tPcq5OTDCdlFUJa0HlkitrXBSEoxyXdFdM56JUwSwX0dXzDWxscoxNvCmb22m4Y/esq8VOQM+H3RLiOqQ05uAA712TsF6UjPDWFs8lGlXZqspraw3eZ9X1MqAfQ11emLrvK6/xGiVVZhlL8nno8/O+8au8Nt3F52K5zH1evMj7yRZwW1mOa6nCB5EZgN1y/G4AwNDwKHp7OdYpCVDFk0qF6tlq5L+G5JXzOc41E5aKCkRFazzWygXOk/Uc50dTZFJfSM/TsAl38fv2rPRXk50fYBNWM35fW0ClLcvmhmM5Yf3dMgCnskONZ0f7qJMS0A+7WUMbf1HP8IDf6fzGWCD9mhiS/fDfYNakBXnn9Sa0t8PiwIiIb6SIaO0PABxW2eKC3jsGyiwDwP/quu7Tfzfd85rXvOY1r3nt71f7mS4OHMc5COBe/Hgi4p8D+BCA2wE8DDJBVgF8DsAfu677/ZvRn+3tVfzlF/8QibhK97pZ2LB/H1fn73rofQCAkAh8S5IytrBSdmsLDYm3VLVKDmmln5FUaKshS1Ud01apAZVghRQGrapMqiJyXDBgUqSEQDWVProuV5AplWHV6zUU8iKWKTxu0qlbW1xl+gO26rTwl8SQTLVE8NvKoEIKSwwMdOv8iZwWRW6aFfo1A57+wSnMzzIkXVfUop3hsZ97lgIw995D0Z5o1IhHPL/777sTAHAoSyT0wx8SIb78CkshSxVFO1QCaVEbqxE9dc+9AIA7j/N1eWUdy6tEZWtrCjmu8++aSjG3Nk2yl50dGiUiTKZ4/ibNe3AP58E9sld+/kWWWy4uM1xa0bVNJogUYzEjfPrh0ximRM7ziVBoc+nn3/8hAMBv/tqvAABGh4mk/+zPPwMAePUVHsvEokyo6YMf/CUAwMc++mv8vMhrXVgXu1Thx2YrCH+AcyzdxZJUVymNcJT9nZLEc1LloTYu9TLHKSgeZkY20xXVjSnKjIDkuq2szNHcjFeVtmoXkRNSnrs6CwAYHOKY7p0iOdLuj2yVxzRpXis/PW3zoKbyu47MrszAFL2I6j4MiQDaVDh9W9GQbLaAdlMmRSFDdGalnNf5cJ+n7uC4hMIH9EqkaLLKhRzn06UrjKhdnWd0Z3PLIlV8TalE2lEYY3M7j4pEnVpN9iHgY8TH7zfiKfuwa5ypiFuOk2h6UOmmgLarK31ZrKqMcEtW0LV17UemWFlJwqt8MRT2deZrQXLhK6vcJiBxp0OHeS/2JRg5iEaJ/OHI9KnCub28yBTG0hJLXcuaHxMTTE/skindrgmWsXZnRrWdg6ZCRJsbRPibmxJKUgowqDRZp0QzpGiH7NK7ekVuXJKV82nup+2zc5G0t1C/29pJmvUZGbM12zGQioR4D8aigxpDlVPKzCvTxefhuK5Ny+H9cnGa139haVrjpGeW0hT2nPSZXrnIyJAV9vXtmmzyjREBE7Gyv3Qe7s3TRfqZLg5c1z2HnyBB4rruJ/G34yN4zWte85rXvOa1n7K9HdIKb5vWarWRy5WwqTzm7CxX4c0WV4R33E6yzEsvcGX46mnmte67l6VM+ybH0ZLVbFF5/0ZdksRCinWRenpVijQ8yFWpLQHLEk1qtvnq+MwO2WR1lYtyTIhI0QEZkaTTXWiKS7CxQcRrpXkl8RfqQp1hwS5HpTi1mtC4ygQtx2wL2rDOwSyfp2LMe3Yrh7id57k2G3VM7eEqu7jJvOPGGpFKUmItq5I0TmckpBLiQTISv5ncRSQ5MSLjnB6u4r/zve8CANY2mTv2O1amqZKuZZ5z+n6itAcfejcqKudaWuR3VrRNUz63hoxffolRijPniIBiOeXoY3zt7iVyuuUERa8iino88thXuH9FJGxVX5QAFFf/kppWhOTd76LQZyrNft51xwP6m/v82tdpLfLZz36a4yeilRFa77qTdsAf++iv8vxlQ92QcZOqrDriWW6rinBUJj7KkRr3YFMRph5xToYGeV1Py6jJCUgmWAi73ZLVt8RyoFxrS4jLcuwtje/6quSWV65ifpHEO8fPvhw+1KfvyqpXqKyY5zX62qNfAABckoR5XXOzrdJeCxw5ktn1BzjvoHLeouyF7R5wlbOeGJ9CbzePnc9yn8YXMl7IqER+IuJcrK0woxmWIdnGJq/3977LqMYrZ2UOG7DojuSTdUnKJR67YV5rTgiNlp4LQv6RIKMMR47QsO3YEUYtpibZt8kJRjUtF53XPdeoqcRZhmyoiQ8lI6tNRUwqig6UFLGoNYKd0txonNyBA0dpjrZLBNZu2Y37/WbFLKMmjb1xTkzc6d5TnJtmjrXvICMuo2Pc38IiUf30ZUmnVwOdCFpUczKe2JmwN35UU89XezaZ4NjzL5Jw+eL5xwEAy2vkSzTB+Q9JXfsU7QjqeemIRBgIca4ODndjcjfPv7+bEcLRIUY6knHyIrq7JAUfV9QzJvJskSJX5S/xWpgdt/E8LIpn0P4aj0DPdFgEy4U9Q65FDiz6oO90PJuxo7kublro4O1Syug1r3nNa17zmtfeJs2LHOxofvjdJAJBLr2KkkAOhcXw1er8gkRhiippGxwgcvYHnY7ATDItRKwcWUtserPi3djiSj6Xy2rfQkKKHATDktMVsl5dVbnREr830M/VfF8fV/sNLeNDoQC6uxmVyMhC2NBCtsB9rAvx1BtWDiO2vcopkz1ETma5mpIgTUqiSZZza7lmXcvxasCYxCWEtHz1i6E9Py2bU1kuVyWhWqnwNZJkn9sy0HEbKkkUknjg1P0cJ0HFb3yLJkpWXhWRbPXpHxLtriz8IQDg5O134ZYT5DEcv4UckoFB5jqbKnGMKG975CBR2guvcsV/9lVKEy/MkT9xQTK4sTCjGMawf8dDFFF64ulvAQCuqmx1WlK3J06UOpwQv+aDWRUbF8FQ2VNPsVLgv/zZn/I81ln1EYkwp2rWww899E4AQFTVH806IURNUaEXT5Of61M55sT4EBbnGcW5+iQR8MgYuRXD4xPaF/O3D76DcsoBlQ22XKKvfonlWFmgo5Kt8+dndC5CYUGVZVatpI3X/NVXfojltVkAwN2nOGYmkxwUcrxyhWP/la9+FgBw9tKzGjf2wRfkPoOaq602+5KMSvq4b1Ljyf0tzPEatBQxGB9mfrgr2Y1yUVUom0SNo+O8nj09Yr5LLnttVWVxG7wWNT0Xnn+JrPzL03MaDwAAUgnek/v2EnFmJI1cUrlqy0rdnBCKkk9vNTmPh3l5cUQiVqmEeCuaJ3VVRFjkwAzaGno/KT7DLlUv+AU1U0nJSptcuxm8BcMYUPSyq1dGVJJw7ghuSRwsoGebilXQ1cNIUe+gcvE1lU4LKRf1vFxTKbiVAreh/QV4byf604BMn1yx7a2Ky1VFQLNp94nJa0seXPn6fJVzN73MARyR5HvvAK93t0zykirPzMR5zvGOeByPPzYyiaHBPRpTPd9Uslwq8Tm6vs7zuHSR0YrlVfI7ZtaMc8I5HBKHq+WaoBn3Y+XuHUOm9k4OgovW60SPbgwHdD533+jTm9O8yIHXvOY1r3nNa17b0bzIwY7mAo4L16eKgoA0CmRq8/xLzHdH4kRnv/owa9ENkfqdMJqSYI1GrCace24qNx6Pyv61wL/rNTMrUkWBcumbquuOxW21yvrdS5eIhG49wf33DxP9lctiWjf8qEt8JynUYWY3fULMXX3c17Jy7xZBGB6kkVDvCFFYIskVfgiyXFXKzMxbqnWOQ06r/FqbfYiHkp1toyGig4lxrtTzWzzm0hJzgrVKXjtlTj1sBd6yWi2XiD4MOZ86RfuLK1eJ5s+8xihOUta+EeXBV5eIjj/3mT/B17/yeY7Zrfzuxz/+6wCAQweY1y3kDZWy03efOqhXIqkXf8Bc4ukfMqc8s0DkMKTi6Dvv5vUfHOK1/fR/Jk8gK2GfZiWLeB+RTb0ibYUC51Y8wf4WSrzen//snwMALpw/rc95XvksPz96iIgyIeRkqHZEVtDPvESk/ehjXwZwDZGPjY5iQRbkZjne3cUxfN/DFPM5IIGiE8eZI77jtlvYV1V1dEShRDVotjjP7rqdfavIHMkkfstCjtvincxeme6w7m9TjXuPeBwXr3A+PPptRoRWJCM8MDDBsZQc+XaW55tIcn4MSVPCQnZ7dnH7XWNkxj8t7oFBK5/u7Uq1jJQkmNOKkGXFPYmqSsWtMkrnE88ho/tpfp73aKPIfU3t4rgNj7KCINXFe3JgkH0LhhPqgqSyJe3tDwY74lhN3TtBPXN8qjCqlCU8Ja5RVRobDRkp+Xw8v6aPfY72uRo3iUwNS+JYYll+wf+EzqVWb3RM32otRgzMKKglOXC3xYjjVk5iWDJDyyTt3ub59ksaO6CIS26Wz4fLc9vqAxH0ocPM6ccVFSxXSh0Z6JpEjlqStDG9ChMc6u7ltUro2gVDPI/uIXKUxvdJfK1BE7DxUT77klFGhdy6KnYkPpfpM5Es2drnXcxcUeRPIllXFX2avUqO2cXplwEAa5u8n9oyZqqaxoo4PfbMcjQ326aFZI+4joCR3jeo7r6ZPPINEYXO3/odaTu4WXEEL3LgNa95zWte85rXdjQvcnB9cwDX10JDSDqsVekVGagsagX87nd8AABw4CCRwvIyWbeNig8Z5etDpmSoRVxQJjUVLR+DyolGxN53O2ZJQgaOrHkLzMlvS9LVOAiZLiJRW40bknDbjY6VbIcAIRRiMsq9XURrcbHtbUWbSXE1HU4Zc5z7LGyp2kGs9qxspLe3iazKEjOoK7cWbDsISpnP9At2jRFd9cqiNiINgEKWCDEWYd+Cylc2JD26tc3Pg9qPWdMODhEhbMnSOBzh/nIFIq2Y8qTNZg3L0mN44vFvsp+qY3//z/8iAGBykiizR/avJTHHfYr23HKcnIWhQbKt19eIYl0Q7Wxucv+mi3DyBCMJL7xAzkI+twq/f7eOLba1VOZyMn75wpeoZ/DKqy9qfMwccbO+AAAgAElEQVTm1VXfeM0evP8h9YW504DkCL/3xHcAAF9/hOz+9S2pPQY4H7ez23Adc47hPvOqdX/i+3+jsSXCHRnjPJiTiVFYfI7uHrGzwxzbhhQSe8TuDw1IkleqflnNu6wqLfq6u3CvuCNjkocuGe9F9efvfA/Pr6+PUTm/tAYKYuFfvMRKoeefp8RzXnbhdt3t2LceY4TFeAXLq5LsrfCcw4Eohkd4vXt6iSqLmr8+oVS/6tFDQoBl6RbUKnx/zxQjTLv2SBdDrP56Wwqbuq9KZVPj4/dUSAK33UC9bvRzsfHtkWycAFV12DyoqfKm2TRLb/apomMY3yOZ4vyKiy9kFUb1xs7nhd8JIKHngqt9b0nCvFySWZPsjRdl+V7UPdfU9qkYr//YPt4ft9xxB/8e5t8n77pf+5VkuqJeZtzlBAMIhoxDEdDYaY7Kmr0ka/Oq+B6OqjHqBavuEm8qyGfXYA+fM2mplFbz/Dwree31DT27LoiHs0y+wMpCFlfnZgEAa7rP8wVuWyxJFr1pZk3iEkheOdSJAoHvm4KiuAUWQTCFxE57k2J+96d0UnJd96bxD7zIgde85jWvec1rXtvRvMjBdc2BDz4ngaCt5Nqyas1qhTxIhLF3D3NmF88zJ7W2zNXsvj2HkUoRPTgBWQk3xKZXHlaAFr6gLEKVz6zVuRo3C+bxMSLFRoOr8r4errZbhvLTRAZlIaZK2VapfpQVMKjWpKZYI9pOikMQV727T3W3UWmkR/S3X5UPReXil2eJQheUa11dkUGNasd9WjGXdK7NchX9GUY2JnYzF17Wtm0ZRfmEn3r7mJdtCoWuyijIH9SKXxyOdemzx5XnTMZ7NQ4y2tHApOPsS9Th99tooVe2uAXxOGaU3/7jP/p3AIDhEaKM973v/QCAEydZSVBTbXVd+hB9vfKDENKam2MOcuYqeQ+pDMd7fIpz4Mo850upmu8wln1Bs9pmf58WAv7hWTLfg1Gt113z7+D33vUg+/bAg9RHME+FZ599EgDwbeXql4XyTJwiqMqCZttBuy3atfLugTD7cOYca8P7B0wpkT4N09NUZfzrr3yV56Xc+l13Exnu2bNH42EeEsp/ClFWFPXJqTpm/579uO/+B7mN1Pc25TkyLuOtrrQpZoqdrvuh3eL8uPMkIwLHDrGy5L/86Z8BAIpZzq9omPdFIsn9T+4mqt/c4rW3ahi/A5TE3K9J4jGk+8JUGs2fw3QyNnO6VwXNQvIByJb5/Y0K51VL+f9Q0HwR9JhtG4KEXh20pY1vYxi8QaXU/E18zk4zq4iUV11pcFSEoI33EbQKJPXV8t9m2NQQX8jnuB0/l6Y4IjOXed1nZjm/Nzd4/+fyvAfLMmtxFb0YGeL9E97iPbmwwIhDKsn7Lqbqh4a2b+tcjBsVjWfQ1yfjI58iCBoHixwsr7Dfq2vkAxRm+LxU1xHX9bZrWKvyms3PcX6V8pw/KyucB7OqKFjZ5Ot6ltHhQqlwbWzM8l4cjGbLIkA8pk/mYFZhYZEi4xC0WxYVMxVc+7k13wRTOdxZecBQwk+J//8OyhW8yIHXvOY1r3nNa17b0bzIwXUtGk3g6LFTOHSALO1nn6Yd7PnX6D74kNBbKkVU/8TjrEm/5RhZ8Pv2TyEkC9V8gSjb0JTlTn2qQzbVubpQydwCa8ULciWcmCLiGRomCp3aw0oCUzFsS1GuWpbOe1a5xFobcMzJi0vYklTyWtI7CEgbPxZhX32OdMWLRO1mG92S9nxcynj9XVydN1X4WxfaL1S5fVhujycO34LRfnIC1qTS+NRTz6qfPL/d4zyfY0dZERAVsrF9mv3D0IgiD+J9nDnN3OC28p7xDirhOZQ6zGHlcFs1OKqFzkgRz9jU62u8Rufk4LakvPRtZ3gt7r+Ptfjjo+xrXhr5xnsYHmLe/4cvzwIALl1WBUZRlsj9zN2PjfdDqU+kkvxsYZlo7PSrnGOuj+ed6eIYNqV0mND53XOKCoq90rD4wheoyviFLxI51xtCUlFDpze6e1bQVJTKkRNdwGClwzF7/kVyD+68g5yJA4d43p/9HMfl+RcYlbgywyqHW47zPvngh8jd6O7iuGzKcbGwRaS5b5K55wMHDyIk/sLSGj+bVTRqc1tzU/rzPT1SytR90NcnPowiIXfcyujFQA/vj2ef4TiaH8KWcsoxIfKWIkubej+TDmFI6ptmexwQWm0LM+WkzxDRPdwnjYSQNAOW1zmX/+rr5LIsrXP70d0TAICUrp1FMwKKKIQVHoxFwkileE9F5QHRkMdARfdUXN4CyaScEBVKCatkJKjnSVLOqDVDoVJUbZoXhynuCa3WpV5ZLBbQ2yvXRfm6LMr34tJ53mv+gLly8pjjE4wgHVC1z7795F4MDY/rvOQIKr5EVeqEruj4jqC3abpUGy1srIsDoOdmWpHHgSEea2KCY59IcjwWVO10+TLn4sVpPqNbHbtlRer0LBwT5yma5ngtv8y5fOEydVF8UkhEqASfCTnINbEt/pRrfChFZezHs8Mg0L3m0/nZtbzRnfH1lQiKILwFrN5RTnTab77hT9G8yIHXvOY1r3nNa17b0bzIwXUtFIpgctchvP9h5ly7EqpX7iWD/MRxeihkt8XWlTKg5V5DkSDm52cBABXVBqdSXD3PXCWCzsgTPZNkrj0s1DI4zPxcRHr+hpT6+pi3jlpxuZahSt2jqFrrkPTci4UKmm3VCJsbmPqZVm1zQpUCfq15zVugbg5lEX6/qVpjvxJaPV1J9VmVAFZ5UVH98i2MoBw9tB9nX6ImwHPPMaeek7a7Kbs1W3JdU58GBnr1Oc+rVSNKz4ilbzrvZ85QpdCYz13dUlkTA9rRKt8nzfRWu4ZCQS6MiogEVUnSK2XLYITb5qRT/63HvwQAOH3mGQDA+x5mdcr9975T529ojvPj0gWyuC+uE80sL88CABoNouFG/TC6M6q2EKoqqn49IqRfrDIX6vcR+RTkRvjOd9K98tbb6OfwrW8R3f/FZ6iHUBCjPByVp3yZ8yMj58VoULXkxVaHZe+P8Jhl+VGEQpyDK8tkZ3/6z/8EADC5d1jnKQVMY9YLhZtrZ5ciSok4j72yoKiOokGHDhNhju/ejQ3l/r/+DXIknj/DqM267imfIkehAPvYJ32Io8e5jyOH+DosFD+5m/r3u3dxfkyrmqEmR8BwkBEIq+qwyqLunkn0KbpVVXVKzFQIpde/nZV6Z5hzapfcBXuE4qPyErhTueUXXqY2RaHA6+4TnyAuZVFHj9tqRRUHtTqK+S29x/lg9faDA3w+xDtVT6r31/1fUpVGNsfxNFdDvxQjuxRhMt2ViiKMYUUobH5tZ7PoVpVOtSjuxCr3nRF/amRMaqy6X8bk7zAqhc2QKiKCjvkBCGmLs9FxPhQUrciLodEwjZd2xxOkKSXLpQXes0tLHJd0hs/BXRM85u5dPOb8PKM3C/OcR/nSio6heaRrty7+S1cf791Sg3+3/Vblwb45wSaaUhltGkdE3jN+06cQH6it8zVXXv8NZQd+/86/bRwsUuA4O7H5G2sh7mzXFBN3th1VDZ63gte85jWvec1rXvu7aF7k4LrWbrWR3y4Bba4Qf+49HwQA3HkH63QdGHud6PXoETKnzcVtY30Fr50jcukaIMq+OseV7Gc++ykAwN4pqs996Bd+DQAw2Ec0MiFWdTrD/F1UEQVbfVaVI8wLKZgiIlzxBkSRjUacjuJhS1oBUSEdy1dbDbWhlbaU/oKWa1OOvmrcAiErdFa+UmccJKrfr2qAA8cYQbl8aQF/8yQZ8OWaXAHFvm4q/5iTL8VLZ6g2NjJCpBQRsrHz6xKqyWT4mpSfQXVW2hOLRLsN8SNi4j2EpEoX8kcQlirldk6eEoogOPJU6BECjCg6kxX6yBa474WFKxoPqvqlk+yDRSfuOMn50ZL+e0TVGwvzzNn+8PlnsWuQKDWd5lgd3DMBAHjoATrYvfwqoxSGOq2O3UIpn//CXwAAvvJlVg7UFJVIKzKVkw5AwHwvTPdC19RBGPU6UVRAmgJtIaSaoTa5b164wH5fuPysxosoM+BwTo+Ocs4OS2uhJbQfDCoiI65FIpNWX5WjDcexsMAxffZFakBc0XVMaltDm7kir+d2nshwZYNRmZfPMIoXjzEicvQoo1WnTlERL6KoVrkojxLVvaekxmcAa3R0HAFFPkzp88oM793z55mHDgt1OtL7OHOBnx8+ykqJ4VHmsW89SR2MyT3kzzzzDN09F+bIK2kIDZtLYdPleOUKJZSlXNhq8nqGg7qvFQGLSL/DnjGrqxyPCxfk71JihK1bn0+MjOt73EtVugZN3btBmMIgt4/E03AdjtnaBuf9/v3kkmS6uU23HGTtGvnF2SmXpZQqlB72cxwj4ij5Nb6u5eJNJVZaFAFV3NRqLhIRRojimlNWrbCyynt2VQqxG+uMSA6P8nlx/72sLAqLL/HNb1MNNZXg/nZNMcpx5hzn8ulLvJd9gZLOhefQUkQTTR/84gz4FCmwCjHjEpjmhD3LAnaPKVLbtrKFG9rr9A3ULBrQlrKiOfAC16knWhT4BkdHu19svtzMqgUvcuA1r3nNa17zmtd2NC9ycF0Lh8KY2jUJv3JBMeUKo1Gu+GtiEE+KfZ3vJeJsCnKtrq52aoAdUg7w/AtEOjMzZMC70k545azQyS2Wc+9XH3gsy1eWVedbVCXB2gbZvC2hMUNrdilbbReukEnAb+iDK2DzQKiKIwDXlCC5XbnM86urVjqWUN23uaxJrdFW0gHl3oelVlhRzvK5Z5/D6hpRU0z8hqI8EnKKfFxzghR7WI53hvwMxe+aZDQiIub3uBwEX3qJLo/lSln7E+eizIH3C3kkklGEdH7xuLnBcXkdcfl3Qih0sck+DCZ4jFO/yIjA8aMn9X0iZ3PjfPkStQl27ybaec97uf2+KV7Lb31DiPTCRVzZS6R34KBxD7ivB+9hNOL8NPULvvTFvwIAtPhVfPPbdHp0xSNpKepjqn75srl6CjJIu6CqmnWfYyz4OppNc7hTvba0OBrSc3BbUsrjnpBOqK/ic7TlnDc0yBx0Seg+J9+Hrm7lxVWaEY9z3oXkG9JwfZieZwRgXfPY9B4C4swIhMIJiTshLQFDhhtZfm9bqnUlRaaeeZ56D0elQXLnbYwkNFtEiHYvHz7Kz0+cOIGubo7hD54lV+Cxxx7hvnOqUogK+cIQHS/K7BJr7e+44y4AwNQkeQ+D/bzuDyoadFFclPOvMdK4UTBNE17LfCGHspT/EpqbbV34uUUq962uc2x9yuMXirzeFv0a38VrMTjCezCRMdVB7icRNQdVnkujKc6SokThWBolVUyFpZB5WI6QISH8unQf7PnQFkfJL65KUK+hsNHy+VqTE63pRWjqdhxIm+qL2w50/DgK0iPwa27G47w3e5TXX1jk/HnyqScAALsnJwAAp+5m9KYqH5yrC5wfXV28Jo44J2VFwfyOvCZ8mvMaj3Y1dE2vQJFFv7gopggZUDTKuclo3SIIft91vgsa0nYnmmCRAvWhQ1S40cXxrTcvcuA1r3nNa17zmtd2NC9ycF3r6enBb/3Gb6IuBLW+zdVlRav7iFBu2lTchMhdIYpIOIxx1e83tBTt72Ne/raTzI3efivRxrveyVxZSGxyy8tuboq1rRViB/WqtnpSyojttukkyGVOKm2NZrtTn7stD4QV1Z23tFI3pGi5Mr8kIV3VCLeV6Goox9aqm0Ic0eim6rtNeTAs5HD1KpH3+fOvoFDkyr0in/m68tuO9OXbqlbISnVubZtoLSiEZN4U/QNE5QPyZbc86MgY35+5IkdFIYPSNpFWTdUixZqvIz1m189Y0j6hhi1dZ59yoA/dz+qE206wlt7G2DQHTr/Mmvr/+9/8KwDA3imitt/+3X8MALj7Duoj+Orc7w+e+SZcOd+15AnfEAqLKSp123G6yj3/LCNKCwvM/+YLRJDxpKJZCY5PqcJcrNtUHrTB15r03mtN5mgbRUUSKq0OioYj1U6fIT9d76blkHltevT+yCjzt5Eg87xuSwzwdUOxYt+3OE45OU7G4kT9PvmI+ANBOKpCyBbZ/2aD8yOZkf9HgmMc1rWCGOEFzaNavbpj3PLSu88rmjPawz464sUEhP5Sun9OyEH12C2HcOEckf2jj5i6pKJdUrrMKtrlk2pfV0YRJmlUPPboNwAAt9/KuX7bSVaUjCkfPtjDY/V2cxz++qtfBwDMLy1qPBzUrezIr2hLkudfqXC+LCzw3rXIQbe8Ww4d4XyZ2D2s8TKcp2vS5twLOlarL6QZ5POjXr+WY6/W+ZlFCP3iWLSksunKO6De5LypSQk1rCioX86faPMc/A7/tmdUpcy+GO+hLjVY4+i0Gj40LPAVl1prSNGFjgYAXyf38L5fXqOy4Ze/QgdU130fgGschPllcZrOMSpUVfRCgTS0xY+wkEE0wnGNxbsQkTaGgfR63TQh8uq3qp7ESXC1jx/FKfhJ27XqhTZuDEcYp8y4BZ0AgXEPYM/wm9e8yIHXvOY1r3nNa17b0bzIwXWt3WqhWCqhLhS2vsLV59o6UZytfG317mhpaflgP4BML5m9DVUZnOplLvnwcUYOupRDHd9FFq0Zd81cmQUAVFX/3tct5TQxhQOuXAst/2W1srqCAQICuABKeR47prx9QWqCm/ItsJWwrTb98lbo7eGqPJrkinhhUWxrOaCVlO9cVeSgLcW3zW32eWuLnwd8CXRnRnWMnR4TflNT1BrXF2Rf2qWKtueKflvchNOvEEkfPUoUn4xzPG49cTsAIKtIwYb035MJVWTID6FcKSAgRJSVI5/ldeEKhSt3fu+9DwIAbjl+r8aJFycSJuqcvkyk+enPEK1sbXAcykNClPNE+aUJHnvvPtbkBwJuJ7pUU18qUnDzt3byPg5JdS4UkArfilB92zgE0qAQu73ZMLY1twtLlc7yvM2WeCSNNpryVvCptrvdqUsXK1uOoH6h+3pTNfEKOCR6OXdNq6ChGvpzYvFnS5yztTL7MCwFwgMHyeIPhZO47VbyMo4eZM74+ReoMrq+wn4mM8ZvsPPiwX3Sf4iJx1CXE6jlsX0B9tUUM5NpzoNiiRv0qurl5J2TAID8dgFf+ypVJpdXZjkO0hioqg7fImuJhHwPxHsI6lqZGt+Lp6nlsbDMyosP/yIVI8el6nfrbXT9rNR4f/zFZ78IAChXSwhFpKbX4vVdXzPujLhLQoZjY9zXgf3k4ExM8v4KBiwayO1jupddRQ+rungBRRZcPfIjUpr0BVrY2FzSsak2GFLEKKZKif5+Ro76VYHldzjfYzFzjBSXRVwmqxxy9KwyjoF5WDjCpOY90fC5KIsPlZVPjUWjUtI38GlOBqTjse8Ax3Raap3/4ZP/HgDw7neRa3L/A7/AY6hKqiVXxpE0+SGTU4x6dsvltjulaE/XHgwMMdrryoPk/CVGH779+NcAALML1FQIKKLS1jzwtezn9EcpFphdozg+4pWh481wjVdgFIOOp0ZHZXEnp8DUX51rb7ypy+NP07zIgde85jWvec1rXtvRvMjBda1Wb2B6dhlBH5HC9jpXs8UCkcRmliv/xRUyYk2JsFaVk6DbQECooiG2dVB5e1cm36t+otfuFJHMwb1EAq7qkZfFxm3VpZ2uHH1Sudh2Syt+LevMQ7zhEHFUKjm40mkwhzd/Z3UpdrpyZsaIDfiJCALyoa9IPW1zlav4SlVaBVohtzRttnJEK+sbBe1XqK4WQK2m8xfacoXWAyGFOGxFHOBYu0LEjYa80t2Kjs3XNUUrgkLUqRSR4d491I1Yky8ChFYSYjn7/RFUlJ+3+mGrDa6UeJ5xqRYeP8L69VbLWMncV0WeFF/4wl8CALJi5/+T3/odAMDD72V0yBCWbB4QVc69e2A3SlJ8TA7yuvulHmhaEr1yfDSdhz5xVfbuI4fl/AWil6tXyXyHIkmuogFtzUWLhtTrQv/iS7htB03lRts6H0eucubKZzll6Dqn0kSrkTA5FRub/LwohT9DmKdfZV3/Cy9zHoR97LtVcZiGRTIRRnea///Nj/9zAMDUHubOZ65SW2Fzi/eWRYKKVd5zEaWBEzD+AsfJMd6EeA0xcQtEObiOSc/xWpIuxvef/iZeeInRi7aglt2r5vMRkXKmaWfE4qbCye1rGttNKXAuryiipsjjr3ycEYRdE+QF3HkXOQjbWY7/5z//RRQUTQgK4VZq7Gc8oWher7QGelXFpKqOQmFdfeU1DFlEscrzrYjj4lc1k6NrX21yHqa6iZjha6JU5L1TqbAvjnQP6hZx22bfQgHO75By8uYiGFWFVVvVUVuK5lVKRMZ+3ePw6dr5LALD14DbQl3PtTX5nayuc0z3qUKopjl3dY46Bcdv4716192MFCytMmpzaZbzaFJVKz1p3oPvvf/n+f4k59+evdSVyeg5EgnxeREOJ+HKa2Yzzzl4dZ7HNEXYlqpX7HkIc5LUc/dawOAn0TwEXH3eVjTY57BiYWcTp+AGnQOLOnT4CjevWMGLHHjNa17zmte85rWdzYscXNccXxDRWH+nnjWZ4TItJY7BuH8CADoM45py8Q3VWpcK2yiLM1AQ09kWjXXl4wpiIS/OLwAApqQJ3ydWfqlsGgVcldYblv81foDfegsAaCovrnQe6o3gNbdEHasq1nzDdOvD5tjHtWFUHuiGLIvyuYdQWkT5SstfJ+JCpzpoRTr2vd3M4wWDPiyvLKu/yokK2VqezVC5T4gnYCXDQveO0JtFLebmmO/fJT33hngT+w/s5zlqu8efoPdA1SXPIp2Kwq/cpr8thTqxrC3Fd1LVBZOTR9Wn5o7xevSRv9Z58nr/T5/4BADg7rtOqi9icQtJrm+KMa6oRyIVQzJJZNLWsaNhIppmg+e5IZ/6bJbIri13QgjF9fQw91prEPlkpRVfEYu9pXPzC3K0NUddqfPVm200G6YjL6VER06YFR4rFCAyTsnvIh7lvDd0UpKan1XYmCfDdk6RtCbnfEr18q+epZrdwBD7/PDDH0ZDEbIjRxnxOXKcOeD5Jbrqra1xX2fPksfwyqtU0LwyQ3Z6XvwWle8jnTEHPNWth6SfIbBqvICzF88AAB79Fn0z5hZfQzgilr7y85FGRGOoPHfHI4D7qlW4b1fjYWqWhviiQZ73K6epadE3wPF7/y+QSW8+KbfeynnzzNMv4sXTVMbs6yVCjqfY8Yi0Iip6Fl1dIKK2ypp0ShVTGojuLu47HDLdE/YxKQXNdfFhbM4fVaSq3migXOQ+y9I3Kdl5KcJmkZRtzesuKSXG4zs5Cel0RuPHuViuMUoaVBgnbBdNEYmaooOzs9O4OsPn4UA/n4OHj5JT0CMtmZKeSbW6KmdCPK/DBxlBGBz8PQBAKKKohE+Kmz089u230xenfzCi8+Y553S/LctRM5dbxqJ0LC7PyfHxCuexcTOMi2JcC99Nguu+a8SBzns3U7fgp21e5MBrXvOa17zmNa/taF7k4LpWLpfx3Iun0a6Lzd0ypMWVcyxJZBAXsorG+H6PdM2HB7oQUF5f0gEIaYXbUrKoJbW4uukayF8+pBW/RRBiUggz7/O2vmere9PvbqqPHT1vJ4RASLoLWkXH4vIrEJJdXVvSd/mVcISr86DysvU8j7EhNr7Pb/veeWxT69vOEsXuniAKHBjqxcz8GY2q6nKN2asIQkERllbT8mxizLdNIa2mPvK8XzlLRcT+PqLQg6oEgJzT7rrr1PV/4tHvfhsAsLS0jFjCIiW8XpYrHRKivf3kgxyHENFXqUw08eijjwIALl5kHvN//N1/BgA4cYIRBkP5uW2+PvMsUeAPpN5mdc8n7ziJ++9jbjSV4dwR1aBTX72+RrSW3SY6K4ujsLTMiIlPqo5BzcWwufX5DTnLYdNY/IrQmEe82252uBaG+FtNq2ohCr3/PjpA7hono//JpziGa+ucL329ZMjHhGptfjR0DbvloBmQGt/cRaL9F14gm/+hd76vEzHZ2FBeWkqOvX2cg/EEEXRXhjyHo0eoC7KtComXXqLGxMtyzCznOF4N6VoExIMwPYVQlHN6XpUEz7/4NLeL1JBIiu9i6qKaz6ahX1Xkzad5YxUApi4YEGcjLZ8C0/OPi6uwvEitifk5RtFaqv6IycXwnnsewMxVXl8oj11XxMjOyyJpkZD1lcfcynLshwbIZxiXY+RWnuO0uSUdiUUpBs4SDXcpB28VJNmtLGZnGLXpeLFIQyImpG9Rr27xFBJx6RkoStWSZGpb93pcefxBcRFM48T8C0zF9NwFViK9duE0qkWOfUKckT7xGyIx7jPdxbnV3cf+d6r+Fd0ZG2ZE0RW/qii11tUVVprl8hyHS1c4PqvrswCA9XU+f02xc33jXIdTVFQ0sqooA8QLgSKLfj2zXJOMfYsiA9dHCez/HQ+Fmylg8BM2L3LgNa95zWte85rXdjQvcnBdqzdqmFu+gEqBaMYxLXrsRPu2nOtTHnifnL9GhvqREbM5KbSe0KrbL5QRUu3w/BLRWEW5tIBYxYGA5cSkpKccbUBJeVutN0SJN3RqTontdguuj98piwtQrYojoZyz1XE3lIBsCq2EpfhYE0dhcUmoRuzdQFC+5VJQq8tD/vIV9vn4caKRWMKPWot9CAeMmSwEK5QZMsa3ohBtjbWdd1ucAkf+9PPz9Kb45reoMjfQSyQxOsqxr4md/eCDD/B7ipp8/atfQSFPpGI1w1ZfPTFKhNyTGdTnfH9jfVnH5Pn/6q9+DABw113UnK8o92ys7L/6EvPYX3uE2vzFLFGKMc6zpXzHGfPd3UKXUpUz1HXoAHOnz/6AiLixKbQiZng2R6SYzRLpWM10SF4UDeOeyGHQKg4aVlvu83ccCv0+ixzwOg7KXfAdDzwMAEjLAfN7xt+oGetcKoziWJSqcj7UU6QhSO3q2toFXTsAACAASURBVBt6L0hZbnNjA1OT0tLQ9fnUX3wOADA2wWPecvx29U2KieJBHNA9NjnKXHRK99m3Hv8CAMAnzYaebkUvVKljZQvFIvucSvGejaX8SCgCGBSHwm0ZItScbPG7FknIpHv1SgQ9KNXOHl1TiwjsGuc59vbxb4tmLIo3EIv3dPZnqptzi0TviRTHJaTnQUSVNBHtuyUX1liM39t3gPopqTQjLeflXXHpMiMl5gfTlGmF+QScO89oWKNeQ7cUXzO6p1IpovekxiedVjRH75sOhl9J8rieda6qEZpS/4zLk8Mvb4Zc3hwWWQWwskaewdBID/q7eX0jQePWcA5l5aTaam3omLyumQyjEyXpOFydYWQkaHaUQvWnz9D9c3GVHJZSg8fMyXG1arwpqTg2WitwdF7mTaMh67gadHwP9Npqm6ui3r+JNIGfRcTAmrc4uK41WlWsbZ+DT+HDIPhgbouApGcpulK8uUfHGNLrE7kn6AujXlXJkE82tiHeGAGtK6paYJiJif1A24yy9EKzyu0KIgslJcRisrL2gLdSuKrIcF1dPR2xGyN3TU/zgZGVGFKjtdOy2ERLTCYVEpxpS6inUuH3HJ+R5CSLWrEHDm+bK7O8Ade3ljs/HLWOVLNEWUTiNJton2OERJ5XSGV1VaV27AfHFkVWVvSZz/0ZAODXf/U3AAD795HglpdV7wP3MM0wMTqIxx//JgDgueee1dhyrCbH+XDvlixuWdLG25v8If7lj/wSAODh90kOWXG2mRk+WP7kTz4JAHj8u98FALS0UEv0MPSpU8Ha9iq+/zR/aDMy+3nHA+/khyIophTu3beXP36Ly1wMWQi/t5cpm61t9u3ytAh6+bz2o5B3Y+fiwDFjmXar0//JiQkAQL3GObdviou6eJTzem1N10gLMyNgVbRorBQ5fvUGt3NVypXLaV417OlohmQcr7X1ZQwOTqpf3GL2Kq/n3zxFCeN5WZzffoKGVL3dXLisr2rBpVTePXfy+p5/jYupwSGWBB87xJSPidsszHN/a0v6fpTjnE7E0DErq/CeCwV5/YYHeY327OW4jI3wh2t4eEzjwR9BR9+30jxL9QxLRGf2Kglt3/gyF42xGPd7m0yhSuUSovrRj8f4w5vpEogImiQx920CQm39Uh3az3kyMsRS17PnKMxzViTQhuZBSqTBLlmGW1qhoR/sdCqJsSERidUHSzsFtRg0ga6ghN0MHCS04DWRqHbH3EkpkoZZvYuAqGdVVHWpZnnvD7WAFveV2+J3t5Ves+daZ4y1aLLnpMks231iXkgmdTx9hamLq0tMSzZ9Is+KsNyxk/bbOQOWHzBZ5GsaxTsD7bawv7F+8Jrj8k6zpJ9m0eDesCpwOmJIN4ogXS+5DNzMZICXVvCa17zmNa95zWs7mhc5uK5VK0WcO/c0fFoBo8VVaZdClUeOsATptlv4OjY0AQAo50VcKVbR0qq6rNAbJAscVfmfT6tvC105pv8KMwPi30aCNMGVtlahZrvcUjjeVuHRKFf99XobUUkM7xrXSr7ObaoXiS4KWpUXRQoMTBPhdPcISYt4ZPvMFySO4jMiolIaWiKvrzPk94jC6mubm510R62qsJ0r2V9LbVQkxGTyt1ry+63EUeV2TodQt3Oczr5KJPCXn+f4fPiXPgoA2L+fEYRImIhs4NbjOLiH6PPgHqKsc2d5vocPkMQkt1zkNji2ZiR14jiRjSo9kc0TSXz/SRIOX36FfRgaJ/LymwhMnmh1YIDhZr/Ph7OXiOiyn2ZaoKww5qm7KScckbX1HXcyrH7hEsO+M7Psa1e3jKckJ2sh+0rOQvuaL2JbWnmVX+ECX9CHgEIZJUVXalX2d2RwguetEP6mEQ3NoEpRHwsLFxXKNXTjlxRvS3O0UpJRjeZqU3M8l9u+Vv6oUsxMhnOsVOWcNUnqc+c5Xvv38rt9st6tlDnXBvoZ7fnn/+x3AQDJBOfNgT28pi0J0ry6yahFOsE+npTBVSQWgt/PMe/J8DuDQ+zD7klez6EhjnlDqZqa0itGMrZUjo2TwdBHHqEh0zce+zIAYHaB6ak772DEYN8+kXFbTUSVNkqpNDGolIZPKLWmKFddUtVplfYNKRJQ1LNnVRbPPRrPbqU8MylGCixiYH9bVCDg9yMuAqLFzztWxT4rnzblHZUhhyxSYmY/JmAmAqeiVlZ17eo/aYmCWRliTRHLUimLQslMn/iZWTV3dUmqWX20NGxbkZGItoPKZ+t6PqyvcR7l8kYu5FwMxhTt1D3d1HOlrSgBy5zfXLzoxgCAz0SM3mJJ45uVLd740TXRI/vg5uN8L3LgNa95zWte85rXdjQvcnBda7UayG6twlJJcZUmPXQ7SW7vex/FTEYHKFzka6pka5okl2Az3BEMccIqMRT5LSJioiFgiyDElaeMJ8I3dEZ5PnEMTHCjJfKgrYxjWjmPj7JPwWAEbVnzZiRVe9ttRMwHDjOHOr9ECd5XXiPynZkh6phfYJ77yEFGRnaPM3+by3J/5SpX4e32TqnOhqR6Xz3D77cCDbQDhjYk2Vw3S2mhCqGJpkrwGiIUmlxyQOVgJrHqd3bmsRGQ6c1LzDlfniHS/tAHPgwA+KWfJ4kwlomjS/K9/+g3Pg4AyKtMLCSb3JIshhNR5eD3MJ+ryi5sbfI/zz3PkrwfvEDuwsCAIiwiZBXLHKdwU9c8rhLYaBTzC8ytv3qOY76xRXLaVeXcP/xhRj4OHWbu/Bfe/0EAwL/94/8HAPDSS6d1LINjVtqo8lMRuMxe2CJTxtUIBYNwVB576RKjEX29RMwp2QSXSrwGJrRTKBmxVWV1jvFkZBal6FZdfxuJtF61CJPQmHLQ2ex2x6zHp4hGXJLEk1PkIowMTPA7Mt65eIklsYU+Rg52jYrs16N5f4yRoqAiKbmaxGwKPIfxMW73O7/9azxekvOqWCyiUhEfoymbaN274g6jUhYhuVMmaoRFbqBbslNmWZFZ0qWLF9QH5rVHRxiBaLd3yuQmEslOfr4g7ki7ZRGza7LXANDXw0jBbScY+QgL+ZdEtp2a4D2OCNF5LG4cJfY1pghFQBEmn0XkXBc1nZfNj5D9LJi5m5BxQPXZVsosOkBHqKlZ1/k1LfKg8VS5oZmCoWWYVHO3Xe+Qhc1oqTtj5ZSSfhfPqVE14zH93TBOggl6cQ6Lf9khka7mrKxyS+ekSIU4C2Zn77Sux8s7o5U6DfjMMEnj4nQiDEHsbD8K1bfwZu2NAgjXShtvjBjs/Pz6o77VdlMiB47jfMRxnD9yHOf7juPkHcdxHcf51I/5zinHcR5xHGfLcZyy4zhnHMf5PcexS/CG33m/4zjfcxwn5zhO0XGc5xzH+c2bcQ5e85rXvOY1r3mN7WZFDv4FgOMAigAWABx4s40dx/lFAF8EUAXwlwC2APwCgP8XwD0APvoG3/ldAH8EYBPApwDUAXwEwJ86jnPUdd3/+WaciM910RTiOXyIKO7n3v1zAIB9k5TqLWyrkiBnhkRcOcbTESQSKknscAFUzuS3XCtRRq3GVakJj/jLZhMrRF0XMpBkr70fUiShd5B50fl5lgUtrhLN7tu7HwNixLudEhseozvDVXQqxT5OTfL81tfYp1KJaDwRJdo6eZKM8IjMXX7wHHPti0usfnDdnStgE3iKxxIIxCT6ZFLTPsvT8m9DvBFFTixfG1CkJZmU9bJW7xXxI0w2ua+3V+dA9BsVQhobI7PcVbXI1lYerqozxoaJ9HuTKsmTrXNENsEBcJ8VlUFVazzW5cuzAIBXzjAPHhcXw8RhsuJkmKxuQiWMqyqJbNUbnetsBkBZidh853EKLW3nyFP40Af+IQDg/vtOAADmFj4EAPjPn/x33G6TaNTErzqRFOV5a8rFhpSDzXQRSfrgoKgS3YDDuXnX7eQ79PZJulv8GEjWti1b6GqVx2y5O+e7T9U8bsmsr4vXfx0hkTXiKt+t1RqIRmXiE5Y0r6I1Zvt9dYbRp7hKFYt5Ir3CNuf57l2c22mV/G2qLK4gs7DFFV4j49MMDXOOj45LJEdwqCszBldmP8sLPL96y/L9Vk7M678lQaFLl1huePnyFY2LJLz387kwPExuy4FDjNDV2tzvhQvs0/oGI4w1mUl1Z+KoV9nP3DbPs1llB7sl+rNvL0tcDx+6BQCQUN6+Kjn2tlBoMCxJc4mMlQuSX69JhlxRLYvcta67dS2KY3PUqhNMmjkes2oObh/S59WqIi+KDvpkBua4hu9UMePsrGLIiSdhEQsXYURj4jtYWaz4C0WVxZrBXEhiUHVFIps6EROkaqoCp1siWg/cQ2GvwVE+T167TIvwpXVGT12VzPrMTXkHqvftfDWRrA5+VcmrnoOuxJEMul9D8O0bXne2a9tpPN03jh684Xf/DtWVbxbn4BMA9gFIAfidN9vQcZwUgP8IjuyDruv+luu6/wuAWwA8A+AjjuP8gxu+MwHgD8FFxEnXdf8H13U/AeAYgMsAft9xnLtv0rl4zWte85rXvPb3ut2UyIHruo/b/38Co4iPAOgD8Geu675w3T6qjuP8CwDfARcYn73uO/8YQBjAH7iuO3vdd7Ydx/m/AHwSwG+Di4u31NpodUiqE5Lk7IlzFZpf5cpwfUU5+KKkapWLjSYDCCZ5/l0JrlRt1XxZWgN55e+NOW5s/a2qGcrw/YYiCWUhoqQkWpvSN4ioJrlPEYRLV5jnfP70kzgwRv7B+BjzkC3xHFpNs3tWTjxAFDbez76aQEpDFRcZIcPurjv4muSx52aJnFquoWGupJNC4MlUGnEh1xXVpy/L5jqbY241r5xwUIjfxHxMktRpsS9V2QvHA0T9u8eJzj4qDYLuLh4nq4hMqot9Lvt5nI35HBbOU39h9iyPOSxWekbiR+keagiEwxyP9aykm6XRYDK47TrX0l0SsVmVHkKlZOJQvCZhh32uae1dKjXgWA24cqYNcSvCAfbzzBlyCtaW/z33+ev/HQBgbIxzLyIUvrlMfkhc7HwT2DERA9Pm8KtOfsBMcRJpnD9DbYTJcc6PU3dI9CjNyEFNUZ1IiP0PSC4biv406pyjohoYMEStKvvpgo0D308EOR7RCF/X1jY6RlqRiCS6NzmXVld4XkGX1yQvczC/n9di/xQ5B2MjZlhFNF+S7fbcHEV/tpaJzs2e+1KWXJS1dUVNImZYlEBKIj2rioStylhoVZLmFy7SQGlukdGMJW1nkuZBRbkKNR77rgituwfESYpJnrlQ5tx3oSqRGudNOjWOkDRC/EKV3brPjx0mt+Deexi1bLd5rGyW51FW1Kuk54aZq/nA9y0a0OGJNEw3RBEmvTbqtU6VTSIW1NgwUtAD3id2vX169viVl69Wjd+izy2SKD5MTVG+ongAa5uc6w19PxrjtdjOl1CSvHHAbxwCzt9Mmtd9aJC8Db8605BYWkuhoIqM7izKY3B8sI9aNKkMeWOu0L+ZS5VqCxonjRvq177sGodgZwTBJMnt8/YN0bsOp8B+Ch3jauhvU2FWBMIqi9oaN8dxXm/NbF/t8ECsL84bbncz2s+iWuEhvX7jDT57AkAZwCnHTMV//HcevWEbr3nNa17zmte89hbaz6JaYb9eL974geu6TcdxZgAcBjAJ4NxP8J1lx3FKAEYdx4m5rlt+s4M7jvPij/joAOACvjbC4gsEA0QpuSxXwIt5IgSJ/yGqXLyp22WSESSVbxbxGwtz7PLCAlFHQEs8kxZNiq1tjN6aIgZV5UyNGWw5w4jl4FW10CP71NQxVhbMzV/FVVmOrmxyNZ5JExGboYrlysNh/h1W3bEjtUK/KZBKMTGR5gr5vndQqtUP5j+NyxARWz+ZTmg/QZSklnd1jue9tMSc+swsV+pl1SsbO7mgKEwuK+UyrZCHU1z57xGbfXJCHANVd1yYZh54ZZn5/ZhEC1pBjk9hI4szzzNykF2bBQAc2Edewq0nmYkqVBkZcBQxqUnfIhiwcRFCzPOcNmXMUqubCqZsk5WjTiWJ1s2euVJwOhLWxtMwuetSQehB82JrjUj3D/71/wEACIiFbzyPklQcG8qVmk6AqfuVTbVSt/awavXHR8aQ2+QcMjOjAwcYMdnc4neSMhYrFvh3bsv0EMDzExs7IEZ9U8cwIyKfEsbRuCx6I4ZuuL+XXvoBTp+hYp3pHFy4wGhGRBGz/kGO3bYQYFKmWbt2E40nNZetGsGctqKq2ilrXOZV9987qDx4jCexoAje/8/ee8dYdt5Xgue+HOu9yrm6uqpzYjNIIkWKpChalilLtuUk25r17mh3jQF24dnFeoDdHQwMzAALY8eDgQe768GM1/Y4rD2OsoJFShaDRDGIoZvNzqlyrlcv53fv/nHO73VXiUEU2yNh5n5A4/VL9333+7576zu/3/mdc/nKNWxLnyOfY8Rgq8Dre6u0ovOWBLiqGIJB45Tomg3wN19/k1ycmpD0z36GBl3xOLkWUWlutNsct/l5VlTMzrhISJXywAFyCx599EEAwMSEcSRMFp3zW67xvrCyzuvI1EytkiAcMRl2mxspkfLT6Ekr8qJcfaPRuMWZSnKsU91KB1U4BGRlHdjNKTCjqk77lkQ3f9tswnncDXGaVlcVMTHuU4qfL27lsLjMse/t5Zjtn2YEaWRkXH3hvSqXY/TB9F/a+u0LFxl5285xXII6/4YiDKEY+7q1w/tFo6lojsN15IRM/dVBF9pLm2Uv/9+MxuxlG+tOR8qZmrMus14f73R2cw5MndHV552g/rCg040E/Jdm2ZzRY+Ft3rfXs9/HdzJv877f/OY3v/nNb377HtsPo87BO8tTvc/veJ5371sewHFe9Tzc024DMeVIqxUOz9wcd/q1shTBhJxGle9PxIlmIqFQVwv9xhwRypnXGKjo6xO6Tpm5kVCmcsexCPdCHamwxZRzNRMUU2ezev+EVOncFtFsWvXjp08ex45qphcXuYs2RKzAANZlT2q5xr4+5RaVQzWVtmRSSEGhhKqiF+0uYtYBZRYVlK9ELJRAo8Y+1GTPGpJLSX9vWucrDwntwtNCVwfuZoRgeJx9Gh9j5CCjcTCORlW55ozssm2HvbTMc76+QFW6ZqmB3l6i55RY8y2hsFJNrHv5XyAgQyHxHUIahzEpCH7sMamwSUdiPUeE+fTzf8fn2ysaJ6EaVb088shjOH03oy7tGl8rl8SE38prHNiFWNzyuUSIpTIfZ2eJ8teUm19YItIyBcSyFBfrClml+oUgVVueivfgA/d9CABw4jj7YmZF8bgZMfG7Fy9RW2Brm8g6lVFEqes1Yozu3VXH5ovR1vgUSvx+WOujWCri3/273wZwy1AmLE+Nw4fI8D99jCqC337+m/xOmREn8wXZzpEPYBE3U9aMJTiAs0eZqx8XEg9FTP2PfXDDXAPzy+vYvHpd58/P9EcmNHZcezHl3gWEEReiNiSYSumalT9KMsb8eF2W3xVdhxaBEnUDy+KwzM+v4dgJVqX0DxDXTE2wSkGAGDt5It+FRc731etEvhVpT2SkB5BRBKndYR/NK8Dy4+b7ENR4WcVBKhZAMGRmTmZMZloLbKYYGxJXyVC7J6VUVwqRriIrdS3mkLQHhmUrbUZV5hsRUsQyEU7gyKFpjmGG/cz0cBxa8ukoF2VAZ/MoTklOGhM7sgCPy+LZ0b3tjfOMGm7ned0EYjxOW5PRNt6U+t7pOLcclaw5xgXQU/urqY9ZxUgoYMh/9/gZBDdbhO71Y9B8z/Hh/GAjBtZ+EJGDd0P5PXs+916+U3wf/fKb3/zmN7/5zW/4wUQOLgO4Dyx93JX/d5j03g8Wb9/Y850BfeeFPd8ZBZAEsPRufIN3a/F4CidOPIhMmjvdvn7mu0w6PWAaBN16V1PIYms3OqjViOC2NrmTTSmPu3+WKn0q30ZT3AJHnIKmFAId7ToHhrlzHlA9f6ux23MhIIpwRdyEVA8Rw8hwLwpC8OmsMjNCylZnfObMGQDAsvKy1kxLIS5lP7Ni7bHcqbGakzyJEem7t1tCr0Xuxt2oB0fM3d4euc7pGGnlPG9cl3VqjVN29AiR42EpBMbTUmUz5TNjWSt3X1fkpaLvL6zweIuKHOR3uIuv5Gu49xTR2dFDZCx3XM5RRzv4lvL/hoisYsKqPOz8Bge4LoyDMdrgHH3nzLcBAFvbRLktVVhYZKWv/yN45BGi9oHefn0GAIDiDs/H1AlNa6ChRL8hJNOWr1TY9xVVLSwvs87fokTF4rq+z5z9zDTH89FHH0VGXBNTjytXeP6Dg5yTNy8QZW1szwG4xR0wF05TW7xV5a2qDstrK/fqSbWuIxtu0zULBcK4dIk0ooAqYzJSZxwZIWrv62M0bnKSEaSlFf7G5avkJlSVcz969CgAYJ9st12tk47WcEK1+XG5ErY1jseHePyhkTHEZUm8sc4xCwQMhfOaS2n9txQpS6eIzi1v3y+/hz5ZXJtuxs4Oo4Zl6frv38eqoUmpmM7OMLoxMjqFvn6ev7HvzYW1KA2V579N/ZIbc4wcmE5GT5bXuzH/S2VZt4u7Ua+ZVwDnIKqooKOQjbmgRiNRxBWt6kgJsq3wXFTRSdNWSItrYZoD5r1giNiUN8ryTTFdAEuux8UbsOhfSzoHycEIQnGOYVmR0KrUJjviadh3bA2awqHZSd9zzwf1OX6vqOtkZ1rVYQucy9F9jAq15Mp48Rq5ClVFOl2nDas6MFfGjqoRzLck2HVI5DgYH6TlkcdwC3Fb5NWsv3V/MTdxRRw8x6odDOPeisiZIqJxsP5Tth9E5OAbevzEW7z3MIAEgG97nte47fV3+s6P7fmM3/zmN7/5zW9+ex/tBxE5+HMAvwHgs47j/BvTOnAcJwbgX+gz/8+e7/wugH8C4H9wHOd3TevAcZxeAP+bPvPb77djfb0D+Pmf+xUEHdtVc1dveVHzO2hLSzwUkoa8VOnqnoeNLeYTi3mpoPVypzogxTPbX8eV+3Rc7qbdNpFALCI3wUnVq2t3WpCCXFkRB6vvNo/1ITkA7uwUcXWBqPKG1OZMlbCsWuAL51m/vb4h7oHy1qa+mEgQKZjugafzOyTG+Ifuo3NgQDvdhnLsUWkb1N0GOvpNQ4hBQywqHZ7eTzZ2JMzz7O8jcujW92r3bH7uKys8p6vXiCCvXGEVyPwCEfOy3ndN5Q7mOLiva8HWVF1ytp/o0VwmTRlyS/l/kdS7mgQlRQDWVokIr88R/earHL+byxd3nZvpP9QbRC9//Ce/g9fPMuB16AALb1Jxc81j9GVwgJGloX55ZAQ5lkErqVade1jRmyOH+PmTxxiRcIXOms1tnQPHZUBqmWMj/egI0belSpjqUYWM1DivXj2jcWC1iwc5ZyqyUhUiFDjv6hnYebvebkU8i6m5iiC0A0AoTAQXi1lJjCo6qsYM53cHhxil2dgmYt6WguDyyhwA4MJF6np85iepl3bwACMJGzcZSblx5ZLOm+M7IU8G8/iYmBjHxz72OADgr/7qr/Qe0VlSan3VKpG/LjHsm+SaHRs2HgzvD0OKKFV1fXkur4ujR7mmTYsirTw6XM5trdGC2yZiLRXJ5F9ZYf9vqTByDe2fHtI4sE91Rcw6Lu8nNp6dFvueUKTOvFxccRBiGn9XPAmv48CRV0pTkY+G1q8np9CKeC+eondJcS/SirzEpFES2KMDUNe9qhu5VLjM029bpUGn1UYnZHD6Vq0/vyoUD9NOsAgiL9KOKgocqTO26+qLor0zU3RWHRlmhGliH6+boBQ6Txz9KAB09TeqjTwaLd5bi+LMFDQ3pudyy6+C89gRb6pWFOdI92ZzaWzovItlKdE2THGU4xPU35FbTIfbOQ/SNXD24Piu18LulwN3kKpwRzYHjuP8JICf1NMRPT7gOM7v6f9bJm/seV7RcZz/DtwkPOM4zp+AyoefBksW/xyUVO42z/NuOo7zawB+C8ArjuP8KW7JJ08A+E3P8963AJLf/OY3v/nNb367c5GD0wD2GiDN6B8AzAPoeh94nvfXjuM8AuB/B/DTAGIArgH4nwH8lmdG8bc1z/P+jeM4czrOfwWmRC4A+Kee5/3+nTiJYDCMbO8oyhXu7DZ3pI3fUP48y3zxvjGybkOeOd6Z1rwDt6V8v9jAvVIBa4oNYbXQhph6e4ns0j3Khen78+IDFIvctRfzpgNApFFVbjKV4i5+I8fdbcBxUJfPfEE1wbZDN1bs8BDRVJ+Y/hHlFkMGBQPcEYfFKvaUcx0dJvryPO6ctzZUI6zvJZSjDkUaUPFENydqufRmy7gTYiwrWtERc94mfm2VSPHN89Slf/01uhmubjCvv606+HLNaCZCFtKcHx8m0nrk0Ucwu/+o+sI+vPQ6j3XjxkWdPzs7Okr9g3iEj8Ucx74nzbymRVpeeYXCnjtlrg8nJgfOEOcurGiPJzH6fH4b33iG+l3PPP01dtcVQzzMORgXKv3Fn2ON/KkTjAgsLy+qj1a9wvXUds2jQuxz5ZQjEWnzK3ffn+XnO+0aclojhkKSWnOO2NmDQ/zsyZPMiV9Vnt80Gu46xYjRto5zc47RG0NUrpEZhP7DCjE0taZj0SAsmhARUoyrgsQ1cT3X2PR8vVAiCiuVuR4qNaKvm/NE2B+8n3neQ0dYhNQnFP/ct78DAHjtFdKaHn+MfJPTp4kko2EHp06S52LRvgtvvgwACAb5vFHnsZOq5hgbYwXEyBDPpzetnHmCfWupgiDbw2t6eJDXmWkSzMlhsiJFzWqjDtfhmCXTHI/+fp734AAjTP0DnMesIo+vfOesxkOcFN2DmorUtaVN0lTErSn+ka19q7wIS+0wHg11o3xe2CoCdC01pDq4LR6AdF3qdd5zOm2ul5qqVDqadwWKuhothvotcmCVWgnxQYIxoCkPBVd8n0jYnB2l8yCdgnBU/g/iSQSNS9FR+KqlSjNV78Tk+1FVRKFe5b2wL8lI4TzFiAAAIABJREFU6313Hd7Txxrg8DMx+cPIIBYZ8TyMY2P+FB3pObQrjo6h6KX6XheP4vINcnq+/NU/BwDMrzK6Zdef50hvxWnhvWb87S/mnWQm3Cn55F8H8Ovv8TvPA3jiPX7niwC++F6+4ze/+c1vfvOb395b+2HUOfiBtWKpiK99/W+7OuU1odC0drhPyJ3x4GEyq4PKcwXlBV4u1Lts4BNHiQRN0W1zm7vwRpUoY0M67pZjrDXID1hdZ8Rgp8QabENt5njWMRcyx1i88mDXTD740AM4cYToaHKMCLhUVCWoIgddpz49LytHZs6Hhar03lWfHhMCjIl7EdSu1u2alZnamvKDDtDoRiHkpmaua22rnNCuXJEPRyzsS1LMe/07RHw358Wb6Ji/vanvCb041gexs1Wrf+woWfqnTh9HMkGUcPEyd+5/9aW/BgCcFQ8gLOTz2Z/7HABgZlKOkAFjKbPPBw+RD5AvngAAvHlFXA7l+WttY+9L/13clGAg3tW36ApyaM0Yf+XoEXP2428vLDGq8ad/8scAgKbqsicmiIwHB3lOhw9T/2BGCpJjI0SYYSHzuvLIpfw61taIYE3XIp3lug4p8vXhB8n4vvteujVeU+Tg4kXW1t97730Abqk1/u7v/VsAwNa2IiggOnPbVu8urkHbtDtCCAqxFgpcazs5Xmujw7ymbH5NrbMkJcT5JfIgIL+HpBj0EUUemq65PXJdpFJEta9IofPZb5CvPCYfkWMnjsMcLZ/4MeadA5q/l1+gc9/Y8DQAoF/j5DSV5xU3IaBrsbDFSEp+g49lOUXmK4w8FFS1UNf3CmWtm1oF8TTPd1hRuekpRgqMmxGP83yyGZ7P4x99CACQ2xYxRlE8U0aMDPE3rlwmJ+OrX34SANBpcnziOu6QKi0CgVQ36pBMyRdGFRQJlVZFRCqJdqNUnBtTUjS8Wi8LQWtNt3XNGtt/p8DrZGObEThPCfKO10JLFUGuNBXMtTWu6zyREA8srioX6TuMjfM8+hXVDXY4HjlxvnYK5kXBe9O8+Fhra/LLWNO6kupjo+yh7fJ+ODnFtTJ7kHPSiSq6oHmsVhu7nseD7FOPNDis6iOZ1piXebyExhnBqsaBc+l0PRpuU2nE90oiUPTBe28CQe/UfhDVCn7zm9/85je/+e2HuPmRg9tapVLEiy99HRBSNGbzyeNEivumuEt1hF4qQjVN1RiXdupd/XVz5qpJC7+gvN3NG0QT84tEW9vyq2+Ldbud5/vVJt831n1ASMpyhTHl6gPm5ib+QG/vIFJybBTpGJFefVe78V5FDjx9Nx4Vj0GM53CCO+Kadtu5DeXChPZHxFmwCMTGFhHBTpG7dQTaKFf4/6QQ3AEp/PX2c1dtrOtz55mHvXaDkZJSnmO6vawcsxj/QeXSG/IvqDc4nq7QST7Pz997D/Pln/r0JwEAw8ODWFpi/77y1S8DAK5eJRIOx4xVz4F68dVvAQBef1VI+S7m/Yf6qSgYlZf86OiUPk99g7qnnb/yop2a6vodjqcTctFsS11S/I+sXDt/5FOfYn8/+dMAgESCv/HVJ78CANjckR5Eged35RojKlZpMTHOSMLYBNHNoRlGIB57mGj4xNFDAFg3bgqXaWlP2Pwbn8GiDRXlb82DYXqSOhFt8UX6s9MAgF/5PNfcwiK5B3G5+oUixhvgtVAsc/08+9zXMC+lP1h0QTlxU5kzrQkLS7mu1fHzOgqG5BCpaITpXASlnNdU1G91WXwhVdrMzXN9Pfkk18DAUB9GxxlZi6mfRw7SM+RbX+eazG/xNw5Ocb7jYY5xGIwGhjxeZ9s5IuFKQTn1Onkx128yp1yqmiMkIxB5qWNW6mUEY+xfucrvlOUWaNoQxt+IxbheKmXj1uh9l+slKQ2L5Lj8DOSG2lCFyY78I4JCyD2qLGp1anC1DpLyK8nI2dQiBhaVCym6F1COvCWFxJocRmsljmNNkZGO6vfD0l6I6v4SEMdpZW1Z45OHJw6O40nJUeQI8xzxwGOmM9JzkbNqIMwxj6r6IAxTPeXw9A/yfCeScqDdz8jaxgbHY2ObUdV2Q+6OuSAqDXFImnzv2lWub1eVZtd1r1pf57qOGSnB1b3cOAla08b3KNQ4J2tbvL8gLA5QWOSFNtcHvPfxZ/kO6iH4kQO/+c1vfvOb3/y2q/mRg9tap9NAKX+t6zJmAudX3+SO8P/+Le4Ajxwikjp2mDnYsEMEFfCSCGtXXN8iGu+0pZq2LXcw5bf3TbPetlf+DS2X6OKAVNoikRl9X4zvhqlpmQMa0YftsEeGyHEYHB5HQ8pjxsBNyZfAaqGb0vyvidFrbPJKTZEC5ZCvXGat9fIyd9l338XzHppk37flLfDqOaq4FXLc3W9uryErd7Wf+ZmfAQBM7SfqunaNx/zSF1lb/uprZIjnC9LhV+WA1evaLrwpBOiJ39ARajFvhqAY1nefIlKePXQEAPPfN+eYfz13hlUKAasUCKlOGRz7G9f4fl35/b5B/tapk3Ys1bVnyVrPJjnm1zaY145FhQRgyEueFO0GIuJrTOwjQ/6nPv1LAIBjhxmd8Frsy+tniFqvSEGyR7X0LsQkF6O8LmvQxRVyE1ZX+fjyC0/zfaHVQwd+DQCQTI4iHuP6NdTUaHMcpqaOqd9yySubAySPEQkQdZmeRUR56+MHPqBHclzSPXw9KV+HVIafv3KD1R0vv/EU8ld4XrGwnA0jXJu9inyFVGkT1txEUszF101trsMo0GjayCbS9/c45mtyJJ27Qb5EU2qYgSDX0bdfJffg8KlZ/PwBXmPVPN+bmuQanTlKVPr6OXpmHAP7WHfYp3yTEbN6Qf4YilYUW0SajjQb4nEer+XxeB1FA5ww7wXRcAahmPg8UmVtBxj5WVnleVy+TE2ScpnHromDlIwzUhCQY6JFFuPiBcSFZj3xX+JBqRxKsTUlB9WmV0VDXhiVFq/ZZEvVJ9IHCSmC0BCWbLnyRZH2hhcS4hUfAI7pYRBpJ1Tt0xtjn0M9jMQsrHN813YWMKIqk3ScY7UjpU9TWq032Mdyg2u3KgVR0aUwN8914ek6adW5PnqkRTA+zmjngYPTAIDDcmbtF3djc41zGB0IIp5m/6CohBvk+XTC4n9luUaf+d2nAACr64yAJCK8Xlod057Q+GiNGjcjJoJYVGvWkfqtqzn0HAe3GS/wPXFqAl0hA1NOxK5jO4Hg98xSeLfmRw785je/+c1vfvPbruZHDm5vnodOu9HVIw+r1nZlQ054f/sFAMDZc0Rpn3qCn3vwQx8DAEQjwa6euCFd09kfGiEy2j8zrGOb9zlRqSmdGRs3HJMqXZW/USpyi9xqm6qWRRDY9U5LDPlmE45c4DIZooWwcsCmAV6v7dYvL6qaYWOTyHdugajr0iXm2oaHpgEAx08QYbaktPfUU2RCrywxX3pCtfmFYg5OwDzP+fjlLzOH/o1vEC28eYEIGZ7pmHMLXCqZd5ancTF9duXzux7yUiFUvrNHGus9PTznkLgZDa+NpWUyk+tCHfGU8pla/vU6n8eEbMLaM1+5xNzia0OMbtxz8jEAtyIxjz5KB8GVL1BZMLfFdTKQVg5SCCwWzuLIkZMAgI88RFW+kycZdTKms3kinH2D9flbOpbVQBtDvCw/iI7GKya3vag8N9rK5Y+NTWkUFXlqekilhWALYs0XOHYrK+R/PP/iS3x8mYgo20OOzYEZzvvkGKs1UglFypoW1VLEKMfjLnxbPg8VntNOiTyDhRuriDqqbRf6NKe+4UFGCFzPIkE8j1BIDpdmWymOiSlqjotzEVAK/s3zr7EvW0RzofBujQ9zynzxxZfwkQd43SZirPyANAPuu5d8jbC4CD1pXrO1mjgUO7xOQlIdTKSNQc9IQTAm/ZAeeVdImdOuy446G4yFENR9ICUeSJ+qCGamOS4TY4zS5fOco3xBiooF3g8adfN50TXeMaVJtqgiCOZdYtdJscTjra+toqUqjVJZqLzCMZqcZAXJwACvC6s00a0NjZZdo+IeEHyjpntWXI6zTbmflgo8fqkk59AIx31y+HDXfXZHKqWry9KYEA8iKpda0R9QLvIYQeiY0n1oqoKkUZEOSID3Not+rqwS3U/Iu8MFx6eQ5zlEXSAlBce4ruO4qg9SMZ7PqYO81p54hPfPl77DyGlum9VQFuUwq9Wm7tkIWtSTTwOKdrZ0UgGTdfwhaX7kwG9+85vf/OY3v+1qfuTgtuZ6HmqtTldBrutaL5Z6WGzdjW3mt15UvvzIUebiJ8Z7kdvkDjXQ1QbnDrdptd6qoY2Kye61zOlO3AM5G1alNmf1v0GhjXSvRQPEhBUvolIUgggATsB0t3dnn8pl/rZpK9y8SWS8nWO+v1rl7ntdqCsu98UHH3oQADA5RQT15FNU+7twkfnQ8fFpAMApcRJctPHN5/mZ3/zNfwUA2NwiimyaY6G4Ek7AVNdqOi9ppAvNWDWG29nNo3Bs1638HoRILeGmlCSK5RIWFhkJqdR5nlHNY9sqgqXKFlDNeCpOFFMTE/5lVSVMT1E7YWqMeeFjx1mB8fECvb++9BRRXTLCcUtl5Dg4PIsHH/w4AGBCznzbG2KlCy2cu8jow3aeY9+TNRc9qawpwuAKZRjXJCKWfl1a80ekcfH4x9mnUpnjUy03UROnxJFvgyORiFqN43H+PNfD0889pWNzXIaGOe8j8juYGCXqOn6EnINUQroQGr+NdY7DjTker+MSpQbcJEId6VO0eOzDB1ldMj7GY0bEB2nXeR3lcoxKRRU5CYiLMK6KkUOHOBc7QvPnzjP64YLja0hZcvhIxjleGxubeO6b1DN4/DHql2xtKHoXJqP9iPggHV2zzbpFrbhuwopqmP+JAnFIyB8lIzRcrlpFginrGRM/2uW/OGVFDINEthnpo9x3L7UnQnK8tAhBuczrZVlRO1OzXFokp8dy1FOqtDgwe1jjKZ2Vdd7DgCCGFLVJyXWxv4+aAamkRVQ4eG2d961gnkWlxP/RpehKD6IlNVhP6oc7ilTZtXn8EKtDAqFj2BTPye6HhTznoK3veuJeOVIdbGntVlQ5FrQ1rWsvkVYESvfAulQLF5Z0/jvK/yfF3ZC+QiqQgCdDk3iS129K3IGW5j/qcr0/8TD5VA/fQz/AQoVjXyxxbAtS9dxWVPDNi4xqXb7GqGlbfAoLewW6vpbfRwTBu/Xg6xz4zW9+85vf/Oa3v5fmRw5ua5FIHPsmTiBjCnLybc9InSyjfHbMfAFUWdByuTvNF0poKM8UMq1u1bfXalbHLBfFPu7Kw7Yrb5ibGtGGDo2kTAqCAav/5XGb0imvS8VRaV9Egu0u3yEa53dvzDPnu7rKPLa5irXErbgs1NFQtKJcY57ukYcfBQCcPCXHu03uiM++QZRb1+cnp8j87ZGmfK3WxKbU4kzZz2rg40mhdO3om4p8JKS2ZmqErhCVqS4aMja7NU9jHo0Yo5o7/3JJNcViki8uL2JdbGJjrBsPAq7G3FwoNcZWIdLfa+55RMLPv0hEnfoR9nVcCPrHP0GtgrFR5osL+TkAQESM/OHBw8ikic7yqugISHVyeZ1oY36RFRWRqHTZ5WZZU32/8TxCQhnmfNhsmT4Ax+v++8mDMI+B1QWp9xWqeOU75DMcOMQqi6l9rOwwpn8mK/2K7IB+UzXyBa7dlljtDWlMmCLi8cMP6HlI40K0OjJEBFqXR8Hh2RmsyNlyZYWvnTrGaFNKKC0NzsH5G3Jj3CZ/IS6FvJjDY56Ql4Ip4/3lF/4MAHDxEtemMeVLJeOyKHInJcFGo46/+HNWzIwOMbc+Nn5SY8br5OWXqXtx9Tr9PcbHOL+j8u0wrwDzrGhLg8P4RKfuoj7GiZM8x2iGr29tFzWuRRQKnF/zxBgbZf8qZV5LPd1KI+W/pZiYkmrrgVlGouw62D/NdZaQo2JYPIeA+AJBKZdmMh8GADhOp+vGmtL9rmORAc8UAS0SqYiHETz0YJyDth41xAgG5Zgovkdvhn2p6Bq2e2Q4EIEj/YWZGUbnjh2ltszKKq/dgjgXJXnKWFRUFBxck4vlltZaSFVdCVWDBGGaJnK71T3cUQTOtBySSGBgkPf/fZPSEBllFMM8aAKK5oWDFmnkMYeHGZ0Jx4w3pggK2Ocnv8G/IwtrvN8Wy7yfamq64/3+qg3uVNzAjxz4zW9+85vf/Oa3Pc2PHNzWhobG8Ku/+s+RktqY7Z1qqin3lPc2ZnhDCoKlIpFUPreMipBeQK55gQAfGzXmuxNx7mQ7k3IHS3NXmooRAaXluhfOaEfb4RS5Hcvv8fgV8QeqihwYU7gZiiIktLBxk7vpF77N3Oqm3OfuuUdIRroHhhwa0ljvl27/EVUnJOQY99zzzJWtbhJZxcRJSKsqoiYthlq9jphyu5modOmDxpGQD7siBqZPYEp47ZbVrZuOgfLkjnEvtLs2pUgrDJB6X6Viinkcr1wuhx0xvCPKR/b1mbeEnAxDRGemRlcts69up6jf4ryfeZNeDOak+XOfYcTE3PdGBpm7rtaJdoxJntvyuhURIdUy54uci+VVIuSO5VaVbzR+SKe1233RUT40qjx3QzyCpJQVjx1nDr8jJBbQWphfWMEzyrEPj5NVn1JErN5QLbxyzoEAjxVT1CqTtqiWaXDw/dU1orTpyabOn8z6qtboyAAR9vCAxmko1WXGrysK1VY/y8pPnz9PTYTvvEK9hkabiNFULBs1KSpKQ/+NM6wc+upXvgQA2NYaT6V4TtsbjIJZ1Ussqvr/DrDSYv+ffZYRgp/4aUY8BkbkCFnmb585S1XKG3Mch9FRqe1NEqUvSe20WuOcRRSxW1XEZX6Nc/zhB+kMOTXLSoTefA3z87yWLlxgdGJ9levg6BFqaUSjjPI05VdQl56/ORoa2owq8hAKcW0nk9JmqHFualWrcpIjp64F1211q7JaXc0IIV7jEnQsmsdHu0a7fKeK3F8bYvlHFdWL81wsYteT4r0ukVL0psrx3clVUK2Ra5HqkXdI37C+w7E2j429FVbm5lmo8/nFNfKDyiWOa1B5/HDQdB8UoZRWhxfg+44cVZ1mCMFLPI+EKiRS8phIyOchk+IYp+J8bEubA+LoRHXdROIch4D4YRYxaEh50Qmp4kJRRLSMa+DAU9WO6RjY/c+4JBZhNVpZ18jYc+9Y8MDfHNzWopE4Zmbu6oawd7YVypL0aFk3i6YsR02aNC9r5Hy+gLYuqIhmLabSxIBu+v19snAe0QISmSupkHxCBCpPYdHCjoxDymbKwceiwmtGBqpXucDCwQYKRd6MXnmVhMmCSohMAOWGNg0NMYMyIs51tPCOnWS4+chhllluyzTq7FkSasoqN0zpeCbU01ZpU7FQ7i5uM91pWXmPY6JGtmlq6Tz4tv3x6EhyNKYLckh/gK3czISeUOQ4uPY7Iu5FFU7sdDyEHJm0DDMEOzjIjVjXRlrH0t4PKROQCeocHB57eITfGxcxc2ycz/tVhtbUDW6wn398y5KRbTUKiIpoubJBktKLLz4LAMhLNrenl3/MHJX4SdEYrkK40aiFrDmOId0sGlpXg4P8zbExhshbuqE7umFdunoF84sU1gmpRC+eVkpGG7mknje00UpI/CYY4hy0NL9xyeEaSW5hievJ1lFKN/+Awsp9GY5TJhlDqcL5nRjlBrSmEHZ1kRuqC5eY+uh4vIEeO8Y/pEXNc6fM316S6M3aKlM9vUoFfnCQKY6U/jiGtImytempTC2RSGBKZZD79k1pzDh/w2N8fWo///gnU/pDqvBwrsBURyLFY4VElnRUutoS0SxX4Objmy+QkLaxxU3Ez/70Z3n8iVkMDWQ0RjyvrU3OUTqpNKLu9Fva9Ngf6AMHuJbt74qnzXRe8uPr60x1pPWHzDYFna6omEqjW7XuRryuP/a2MS0V+Ye4LhDUVIqvWrNrk2t2ZJTXgyOC4nkZnIWiPI5ZgackcDQxwjRlIs01UCq3uuXVtQr7nw/ndV5Wdqy1qA18vWblk/yNQwdIDl6rcpN17hzLsBGQGF1DBlVB3mdbdb7uhvTYksS1F+/eg/IikAalCu+4tsFXqiKw22jMU5rN/lB3JPnsKsURkMFZWPemkIBOR+mo0Hv4c+zduezB2zY/reA3v/nNb37zm992NT9ycFsrlUv4xtPfQF0lfXVpc7aa3NVGLVwWMzIMd5atFreW4+NZHDpAtJ1QeM/2XylZzBqB0JBkNMHQa0To05VgUa3CzxWEBGraxVp4uZg3oqPVDxHd5Ws7WNm62T0fAIhEDRFq55+TKIfKBM2y1UogZw+QFNTXT8T06hyNQtZVjggJ1MQUbjN0X1UIs1proNlUKaYQfUM7c08GU3VFLZoNC4dJOlQ9M4GZWIzjYiQ5E2LpCAH2pHm8HRmobOcUbnR5/GQiibRKskxHJyDhk7CJ2BDwYmb/NABg/yRRWf+wJH6jGnvNmRnsvPzycwCAYaUpMkkZDsUsfSE0P5pBLs/+XF9gpKBaJ7IzblcozDlKRoT0RF7b3CBKrUlQKCTkVBPSaimkedcpphMGBmUOZpbNDUa7bsxdR0XlgbWWpGITWscKWQ+NSt42zOcrqzIv6jAcbCVuZuU7OiwTm7U5AMCbV4g0P/EjNL3qVQShpd/LbeexuCir3A2i6raiD2ER6D7zGZZ8ZkeV4ujlOOQ1fl6JfcyvKfWjFfNRXW6u6FxWmmaiORY5MMgVjQbRl+VvrK6RJHnlCo2SsgNEuCeOn9aYMpJgstIBWe2urnFO4mEbc8lxeyrLVQopEuc94Po1otm//kuSJ3/5lz6PfRO81lIniaZX12VKtML1sbPDiIFFM1stsybn85hSPXZvSogcF5Jct0ULLV11Q0TPFc3ZTmEdW1tck5tFhuLLSs2lk5zvKZXfBuVmtLzCz9nVGozyekgmGUHYLPAaXFhipDGhdbZ/koS91WUef3KU98rezChiiozZvbap0mbPrOpN/KjE+15xh4jfUhrDkzzWoWmWn15TaXBDUd7xEZV0zpDIev0m1+HcmiTVo5ZCCcAR6dus6QMhpVV0LzOhpa4rvf5jxMxbYX2TPOb3QwrzeEofKFCLoO5DniIJ3lvkBRxFL42IaWmG90tffKfmRw785je/+c1vfvPbruZHDm5rwWAQvf1pBPsJQ1zVB6qCBaPKOUci3NnlckQ/FSH03r4+jA4xR9osc0dfKXE3GRMiDAV3l864qll0tdNfF1LIq/yuWFAyXkgokZCZjyIQZvHalyXaqZY6XfnnTB/za0Za6VhevmXonbvzsgyYjh0jCWpW+Uwrk7t+nUQas/y10iSTNG7bTlo73lAwjKrQB0RG6oqZyBjF+A1RkSGTcfY13JUDFodCdVFWqmilWYYoggEzkVJURBEXIzj19PRgYnxG/eJYZ8TrGBzinJw4JXGjfSTUuU1JEysSUJWF69Iy5+TiOY7HuVeJjLL63KEZIsh900SB8bjKySJJxJM8Zt8A+9A/mNaxjXCo6I4sjNdUwrWlPHVZuVgTlCkJnQ2K9PfRxyj5aznplspMl3WctY21bt45lyfiNYTraiyNQ5Ht5ZivrYlTU2T0wUr3Yrogsr08h7F9ItEKYdUkUz02TP6DJ9vttZUV5GRvfPkKc8OrstrO6jx+/olPa3xkAqRoxsgwx6e6wddnhvl6WUJVS9tEgm3P9MQlLmQO0FqzxrOplstdc6YXXmAEaL0g8S/l6Q8fJMocHOB57BjXILGbsBx1dP5RonQIhYYUiQubYJc4GNevkqPx3DPP4sd/jGPeKy5SKm3ROOu/1qKEeKzc2OSUjexnRlwdETW7ktabvEcNjzB6NiFzqWCYc5vtCyGqyFgrxGhFv0pQR4ZIJE2nGForSsQok43rt5WDV6QpEDJTOXKWPCXr8zuMNBhNqKZI1cVLHId9ExEcOjLN7zicT4uUGoiu1yxKK1J4zMS/uLbmbqpMO8koTyrKx5B86++9i2TQ8WFemytLvD8EZBEdED8ggAQ87OZ32X3TolQWOQ3onmRyyG2Y4ZQE3sRNMBdl+1xY/AlPJHPjMiDS0Bi8O6HA61oz22/dOatma37kwG9+85vf/OY3v+1qfuTgthaNRLB/fBJQvrohRF1XXrwhNnJFu/Rm20p3uOt3ayEsXxcXQKWFrnaTvX277W7D2nWGhNrqJe5kN9aJTvKbQgYSu3HFPjf0G1Oe001IJrZXVRDeFhItmfQI6dcbZvfK32gKfRTERpaiMbISlEmKVXz1CnfjLym3vrZJoR4pmHYNRvI7RH+9WeXeU1kE2uxnsUykGE0RTcXF/I6KS5CIEcmEg0N63cqAFLWRHaztsq26oS0YYtyE6alZPTIKUMnLwjaSwSOPUP45neGxEik+RiQcE0+wL4vLHKet5SV9Xix92W5fvES56J1tRndGhiRkJe5GTfbbDRnLlFVpEo4DLUOyUo6Jy7rbTHxWN+Y4lsqtbymC1GyTle/KVrotUamWco2HjzFiMDjAfG65INllsfSvvEn2e6cT6Arp7IiX0VQFTCTAeYu7PJ+eCMcw5HIcgl0EpQjAJhG2lfgaGk0L9Z5585sAgFiY4z4u5N12kigJESbEwentyDCsyv6+doW54oGc0Ovafv02z2tzVb85xtcbKp/dknmUKyRtuWYbr508x3FunvyZfH4TK+tz3f8Dt/gxX/ybPwAArNzL+W51GJWA5qBUVI65befCazwlnlGsw/UUVKlsQMJO6RQjLRHZbj//yvMYnCAqf+jDDwMA4mEi3l7ZAjclRFXXuBlfRsGcbh/MgS3kce3tbHPer15l5cDYKMdzYlJVP7onDKUSGDzAtTMzyWvQkun9vSonzPD1mkpza/XdsuNBE1oSIrYxPzjBed/YZPQrFDTRMd0v23yezSTQkxnRb/MY+coZ/RY5BRsbfKxXeJ79/bxHJVR2e+HCt/W6Sqi8KZzIAAAgAElEQVR1f5mdeJTnNkEZ6rPnGO1bWyP/IxxQFZUMqzpe9FYlgOX39Wcy4JlAmak/WVR0t9yxcQY8z3gC9rqMl/R11zgLMFO5WxEDoxQEuhL4b80x2FvqeCcZCH7kwG9+85vf/OY3v+1qfuTgtlaplvHK6y/AbREpdpQbqzVkG9vNsasKIGIyoHy/Lz2MqWEKBwUlrJNQbqwnwx1/U0jHdpsF5Y6trntrkyi8JdvTTFdgiH0piSmfEArpuBLuqfDzqWQfWi2yqldXmW+Ew++4HhGLbXzNgKiuvG1DrHIT77l2ZU7HEVNe0Y5I2EyT+Li+Qbbz0CBz+4cOH8TcTeYdby6xX6PjRAt9Q0RKYYmwJBOS6m2KS6FoR9tVOEPbbK/N30ooStM/QuQwNmKSv0QKMVVmrCwrYhGLIpUiajLk0mpKUETRmHpDUZsNovV56UCsrBE5VxUGymalQdHejZyGh4ishsTm78myj9EEP19pdPD6OaLQRZleLSwR2eULkplWVKeumumYJFg7dRl46TeDOoeD4oV8+AHKJedy7OPEBMdjeY1zctmQ49gAUqrsKAh2liUsEwuaGRJPKxGTrbJKKUxzwao1THmmqmoeM/AyfYOioh8Tw0T3AxlyOWLxNCan+FpCssCDsgeu6jzn5zj2S4viVPRzHRhALktk7Oyb1PAwDs41VQIsyuo3pKiQq5MqlqVFIpOxSCyInjTPs7+fVRc16V689BLFrl57nZoLXfMvRVBMmtuiEzFdRzGNWyymSIyeJxO717wJgNXqZTz7zWc4VhPM78+Os0KibXyfaxwP4xzFIlxj1aqQruYiGDKRJ2kPjEzoff7WuqoTNl+XjbYiU+FgEKOjnJ/xfdKj6GV/p6am+TzL8QlILrghTk69bvcwrV1ZWrsdi47Kslw8IquGioTNhjmhzwNbOV4XCUnUGxI2fYttcVXmbvLedvdp8kFGRxlpOSvUbQZvUxrHgwdO6Thc8xevcW5LdY6HVQm1xdWgKNJtLkZAF46bbLSZwHWz/l24ruqfLpq36gOLQEjXwEovzJwv8PYY3dXBgnvFjvY0Dz7nwG9+85vf/OY3v/09Nz9ycFtrd9rY2tmCo1yRsdYdGfK0jcVq9agyEClLFyEe7YEbMOoqkUpPliz8gUGiyc11MnhXV4VglHt2Pe6+K7LYDQuVVmXNWhEbPxLmFjIU5q67qd17Lsfv9w/0oy/D3fRWnFGIZktWwjJWCUupqyAJUkOA7ba0Arb5va1NPo+EiHgGepkXNJMYqxC4qvrw/qxZ+k7i4YcfAwAMXh7SOEh6VGZGbYOp2jVX1AfTHmg3DL1yR9/Xy+NMjRN5TgppxSRlXRE/pC2I6QXMPcZBq2E7d6ED7ejLFaKJjW1yK1ZXWAN+4wpR/quvUzb30CFGQT7yMFF63IyrFOUY6ZcGgzb14ajyvzFFDoo5vPoGpaeX1vhbW9tE9nUx+2OqUw9qrOvSnojo/IJB2f+qCmTfFPs0PUVlOMfjuK1tEIF97Rt/DQCo1hiZ6O1PYnh0Wq9xPXzzm+QG3HuKc5WQ+dHomBTvpBBpRl7BsFQXdT2EpcnRkzZ+Cc8l5HDdJBXdChuzvFpDTVyR0XHOX7bGQWu70V3n/+b5cwCAQk5WvjBpX6t24XyfOs369ulZrq/X3ySnwMyCUopQRFT10itFQrcDhMJC+hGrkJGhlFjmFckhm+06XLv2zPzKtDnEpJf2gLoISHkwpCqRtvLaVlEScIDz57nWnpe09cRPHdE48Nivvso6/Kiqne656yEeQ2h0TdHBkK7p/iFGAQKCsz1ZXrPJNMeh3RaHQSz/fC6HiqSVr15jNCuRsmNKO0WRgWwvIwt9A1zvyZQ5LPFYlUWpL9ZtLXNN9vcbn0hS8Ip21Oscj62t7S7nZnic/Y+G+J3iDsewI9XCSo19LFX4/sl+RhAmxxixLen9o4dYneBIF+TVM5TjzlUViYnyGvDA30OL92cvcLM7ttYC3xURkDS5Z3byeiOwO9TQZQl0OQe7m+OZaud3WzRbMYJxD25VJ7x1swhD4A6SDvzIgd/85je/+c1vftvV/MjBbS0aSWB25i54Mk1yVIvfUh1qw7gIHnfKrZaQtXwQejIjCCmv2O7ws9E40VhEevZWf5/fIWo1C1YnIDMT6dp7Dn/DcmUd5aLDER43bHlOGbA0lZPP7WyiJ8N8/OlTVAu7eu0sAGB5lagKgd1aAGUhvptzNLGZHL3ZHQ8A6JOVb7XOiILlNysuv58Te//8BTKMM6k0Dh+mZsL+GdU8a9tsuUPLtW+pBjrgcMxPnSBTfljGK4YujPnd1zuocSMqKRUs4kIkUNJj3VXVSLWDdkuGKELydeWKN6RjP7/MyMfiEuveS/KSuOfe+wAAn/wUa+/7BtgnV9GJAbG5569zXJdljX36PuY743o/mQWqyiHfXGTO1JHhS0eKkeWCabubtazt281oSJ4RUuE7epi/0S8fh4DLdfYXXyTT/o1LZG8fnuE8ZLM9aIihHlb06eJFzveBfR8AABw8RDR/6DDnIC4lxLrULYPiy5iqpdXcdzxFDgpcq/snabe7f4a8CM+QeLOJv/jCFwEAGfE3Pv447a6jMkQaHzPPAK7rXI5VBpvSe2h12PeJqTH1haMUVlXL/hn6Idyc41xEVMMfl6ppJGKeCwl0zMxMHJuwEP7AgFj1NatWko9Jy6oz2EfjhVy7wfmvKfol0I+2eRbo+5GI9cW4CQmElKe/dIWVQLkCr7FB2UIHuv4VvE72T/NYw4Oc72Hl3DsKV+Sle2JM+YEBmYrp/mFcjHQPowDDI9NdI6WmuDcBJbhLRY7LjqqRGpr3gDRZ+vt5jEl5VOgWh3xekVdXaocWUZG2i9XkF4u871y69CYu3XwRADC9w8jgkRmamBXzsqZvqvwroHtWldENr8M52z9FM7lcWXyfJPv4xjke98I18kea5negP311KTFGQ4qC4C2Mi7R+HUUEOnuRvkUSXIP72PX5rizMrdDDnu/rfee2p10pGf0m3rlJWoGqi3fId8GPHPjNb37zm9/85rddzY8c3NbCoQiG+mdQr3JH22jKD8AsOR2rWlD9qlBdSLrwyfgQEtIIiGWIIjIZIr1tqSmurREBBZRLt7p31/KZQVMAJAIOhJSb127ek8NXRbv4WIrIsW+QO+VyuY2W4FRvL/OUM9NEOivLzLfl8zov7aLDYsAbk3tFTPq+Xqo9zu4nktxSbt7q2xMRohfzVjBnwEDglutiJCw1NXki9PfJejloKISooneAiO/B+8VClmLezo6qOHKqYxdrv1JhX2sNjtOOIhFz83N8XuHzRt1DRPlaOGZNTbSQ2+FczC0xclAqydL6OPO6n/vcP1DfBnX+yqlrvOaWmN//26e+BgDYXOfx9h9l3fiYcq7p3gHsn+UYvnyWlsRWVeFJZKIp9UEb26SiHAYyzB78xPGTHKeHmFMdHuaYf/1JsrDPnCGLPz3A3zb+QCqZxNIi572vj2Ob3+JvV+WUGNSPHT3K/O3IMPOxK2ucA0tothq7o1ymn5GQhfcDHyY3Y0iM+aV58isuXruKS4qylISQk+I53Hcvv5NOE40ePMjxcl2u3SUh52vXGN3pTStXLM35i5fID1mV3oFFxUzLwnL4Zo+biKcQCsgLQTbqgCF9rqmwyjT6w+QNdVxTs4SOQbQ5KA+NUtjy2Gara2vddBFMv19KeF4YWWmDWB5+aWUOALD/4P0AgBmtm9VVcg9qGnuzdk9neX6FItd7sRvt4HXlOlxH2T7yBFzl7m95Nbjde8/UJNG3uSxuifm/uspo1/amNAE8XgclVaVYlUq9zvtAQOOaTmd1bqY9YfwpridTq3QCt2zU7b7QkAKsaUNUtwO7noeC5jEjW3VXKpVBnueNeV4PF+e+zL7WZY0uRcRYXCqXAfalDV67jhdAILDbHtnGJ+DYOuFcdasQxAdwhLW7BQV7ix4CXQIBbm9GJzBxz9shezfq0NVOwFs3vR7yOQd+85vf/OY3v/nt76v5kYPbWrPZxNLcDbSlBNfqcFcqiQG4Qtqmc9CRzn2jpG1bNY0+IfmRQaKNmJjaly8TMTXE1o6FuVNOSJ2vpdyZ+R3EE+IiWK2skEXHs92sVA5LRK8h5cyS6QyCnuXPiDJGR4kU772HOfQ33iTKcvR+qkeaAynVH6uePSw9g6lJ5qInJ4juLU9nuTJzgotEzP8gjs1tIpntTeaMY0JZw4OMrBw+OA0AyGTJto8l+FsxMeArUowMquqgr4/jVK0K7Qr5IKTxSrMzA0NCGkK77XYVtYb4DeJGtFT7vblJZFQsso9PfPITAIDP/tR/y3FJ9+q3NE4poo1XXyP6P3uW47gk58R6hb85p8jLPnnM9/Sl8Njjj/M758n/uHiBSm11VTx0pBlvYxhQ/ttCByGp0D30EJX0jgvdnzlDtvvfPvmXAG4x5622vqnFW0ELnjQxtjZVvRLlZ/J547dwTK2+fVLzvrpOHQNPSCocMtY5+1ZX9cORI9Stv/suchhapqXf5Pi9du4sNvOMoEW1tp5+jlGXq1cZEXj4YSo+3n0PFe2CUsA7OMtojKd69K0totfBQaLc44dVDSR/hC1V3FQr/O1oVDwZ+aC0mh0kE3wvKwXAcJhrzCkLGQrS9Sj6l5K65+qatCrm+NiS42NK7p8WBeqoIsfq2636oyZ0X61WEY2adwiP/dTffQkAsE8+Hfd98B4AwPqaELLWw5aifFvKyc/Nkz+SL0urRKh8c4vX29HD5P6Mj/IaTkhBsFyqYnuL0ZalZVVSrXGM1uXvUhPST6fZ10hIfi+uXatyWG2bcqxVYu12huxR5UivlFj7+vi7J0+G8IHkMfWbx27WpBMT5+PwKMM1tSYjRh2pwG7K3bNW5W805BeyssnxKJUZLU2Lm7VvnDyskVFGta4vUP312gIjDSE321UM6GpIKKHvdnVu+L6j6oSw9A/Mpdfad1EX9jz39nARXPuAe5sy4h6fhb10hb2t490xyoEfOfCb3/zmN7/5zW+7mx85uK2VS9t49tk/BJTXb3vmJKhckli2TVUieGL5ug3ukI8fCGBmYlpHI+o0LYBajTviTA9fj0e5e2435aKniIJxEEJCTFYjbXXeLaERq5Wu1okcqjUxg1tNJISSbGcaFVt//7596gN30aaeFo3yfatb78vKTU9+AKaH4IlOG1c+3Lao5ocQtJx0u410D/uflGNhMhXRsfnbQ8OmY8BjmEpjboPnEQkqjymWckzs42hMbH6h15QUJLfF9l/fZhRgY5XPq9UCdpSPbWnetsSAd8SD+Owv/DIA4Bc++4sAgP40OQamHeE5nJuvP/13AIAXXmRNuivPhXhavgniIrwqZb1DR46rj1kcOUz1yMceITJ+4Zvf0FiKCd0RQ17527CU7vLbRIzT+xmF+NEfJYv7wkW6Gv7O//tvAQClMtFa3xCRYlSRqbbUIFOJNMbHOG8X9d24xq4tJvvKCo9x/G6yz8fHpngsVeCEughKUS5pbJj/x713E+2PjPB7TR23ojV65cZV1IQuswO8DtwOn6+sMTrx1a/JD0T56QfufxQAEIuzr+MTqn8vclzWxfOwCMLHHv0JAEBvH+fw7DlyMEyZtLeX5+IEnK5WgmRKEOlwfEwJz9Z7xxQx5R2QSbMPVUUYSiUzUlF9f0BufapuaOgR0kAJmE6K56KhSGFVWgMvv/It9rOf18/IMMfSNBeGB60qSWqeS1KGFG/GkbeEcVraTUZQArqXNVRR0S/NEs8NwmtJ8TRugv7GB9I8q7onKNXWjQ3OZ7vF8TJeVcAUEaU6aOjXxqdUVEVOVyeC45lMprueM44qAdwAxyOsiGJP0PhMjHzkVFG0uW4RFfZ5aoL31SMnfhwAcPI4OSu1Ko8zOX4XgFuusC1V8Oxs8Z5QbTbQMf8SrUFXvBbZlSBk/9HrVr3wrsaIe9/fq6zotrtPXeyOHNrj2+oY3ApDvAMx4b01P3LgN7/5zW9+85vfdrU7EjlwHOdnADwC4DSAuwCkAfyR53mfe4vPHgTwGQA/CuAggGEAOwBeBPCvPc97+i2+818D+N136MI/8jzvt9/naaDWKOLi1adgteWWc3RU19u1ihfXwFXt+mg/GcUDfSEEHDFwhTLyYtuXCkSZ/X1EdgENfUFuceUa828i/iNU4e46GDTdA+lyq09eF4Wwb47QbblSQ7Ui5q12pEGpDpoT5IC05MekRpYQvyGkPHBAym/bYudXa1JxVI15Is38blJ8iXjCKi/YSpUiAiFLzMnXQTyNZotI5vKVJY2DOZyJ2e1It0HVDuUKPz8ux7jhcSLOvn7+5to6c47X58hmv3SVedLSpqoa6iWU6xxb45C0lBv89KeIMv/BL/33AIBImEiokM91xxIA/vRP/wIAcPY885jGzfCi5tLGz2UH2fdSieO2tDgHADhw6HA3cnTXKeoT7J/mmrl5lUqAaXEygiaJBstvCvFKafPCBXIMnnrq6wCAV195CQAwNsG5TKcZ9YnKgyIe5/c8N4q6qlhSSeV8pcMQUgRleZljWKhy/Zg/RVhKeQnNc6slzY4yx+muu1lh8tGPPq73GZHypE5nmgPL62twg6aIKFVRLfhMkuffEp/lhRep0zArrsHhg+xzRB4iVu9uc1pVjn1khBGWT/zIzwIAkqokunSV0RyLRMXjIUSihmD5mwFF6yIaO7v+sxr7QVXQNNKq7gjI5XLHImvsWzRmkQfjBTFyVbEqKFWouPC6Y9/V+Pe4Np9+lvNr83j65KPsi9wI5+dZQXBFnhItqZv2pMzhT/woET9qFf52ThUIFi0IOgnA5fUekRaERf3SPUTp8QSPMT9H3tTiEqMWxg8aVBQoKRXTlDQUelJ8PRLhHEDXek1RQlOMhNNCo2qRDuPcyFvFsfOQSm1Tn2vwPONx8QKkbmk8kvEhVvUMZcll2JauTFB0fhecm0fu/wwA4O6TrJbZqJ7DunxJrlzltba5weuiqihDs2lVFvLWMbMaz/QOdiN3t/uoiExgt/6B8UisKA7O7dyC3cqHb6d34HQ/594xzsGdSiv8U3BTUAawBODIO3z2nwP4eQAXAHwFQA7AYQCfBvBpx3F+1fO833qb734BwJm3eP2V77PffvOb3/zmN7/5bU+7U5uD/wncFFwDIwjfhf5va18F8Bue571++4uO4zwC4GsA/k/Hcf7M87zVt/juX3ue93t3psvf3TzPvaXEBcB2uoG27XDNnU3aA8pJDg5xhz0wOo2WvlOXD/nmFlHDxiZ3rqkU0Vo0rprppPQKgpbXVd5e6mpN7fwDQpSmThYUTg+p9jYau1WLG4t7+g0hAjHgrVY2rNrvkO2iPXNZ02mZkpmWx9gYUWlE3IJbDHopzJnueVV5/lYFTSVya0LtVUUAFhfmAADzN4nwZ/ZxZz85TiRteduKPAQGhuQUN8A+GN9jc4u7+Rdeoj/A899iDn9T1REt1/KiTTjibVg9/yc+/kkAwOd+4R8CAJJSgtzcYB+XV4kcvviVPwMAPPOtvwUAHD1Gxncmvbuuu9NW9EaIIai5u/Qmkce9p+9DXGzp0WEy2j//+c8DAH7jN/4Fz0uRkoS4BipOwOCElALLRC1//gVWJZhyoBvm9/JVofwIEZNbNzfLqo7nIaZ6/uQ+rteQ1BarXe0I5qP/4xf+hv2/xj13NM5rIiOkHVS9dibF83/ovgcBACN95LQUilzLDV1Lb5x9TX0qQqeHWlF+HkEp1onxn+ljjr2odfPN58nez6gsPaKKgoMH+bmVdXFNtvjYo8qhqSme4z0n2be2xvfiNfalXKnDVbRNoB3tBuff1Eqtkqit6EStLg8GqSz2S8Wzv5ccDfMe6O0Xn8LjOS6vkg9QLjPKVSrxdzY3Nrq6Hebw2dI1Fw2RY7F/mhUgH/ggK40adc77/ArnpunyOkBIOhm6ftry5qiJ09BxLSrIOYuqUiXgeQiJ32N+MI68AlJScuzNiL9RJFelKEfIltbB9hIjCp053rIH+jk3A9IHyWYUSZC3S0A5+7aum1q9g1aT6zSme1Uqqs+K92AKsYbDUxl+LiluVyiYVd/5uZvXOdZFuXgWpMaYkS7E4SPs437dfyLiQTRbH0FVY7a9w7FeUeRgcZWVD6+cZVTrzUuvqf9cezFFjTt7cv6md2FVCZ093AMHt/EFdI4WKTYnS/fWhzku3WPrq6aXEwjd+tD7bHeEc+B53tOe51313s5Pcvdnf2/vxkCvPwvgGQARAB++E/3ym9/85je/+c1v7739sFUrCJKj/Tbvn3Yc5x8DiAFYBvC053lLd+7nna6KHoCudJWrfHjA5KeErMPKpZkSXCyexXaeaKE3z7ycVTqkUuaIKJQpRvDAcL9+ijvfjQ1GGtCWH0BY6F+oLSO2v6mSWRYqLG2CeDyGW/bgqoSwumv1uymuRKHIXXXd3OekNR+XZnwsbo6RdhztjC0frjx6RXXblkRrdhpY3yT6XlygT8PS0hwAIL/DHXytzO/GokRR0/uINitVsa2TUl0cYY51ZY3TPDdP9PLaGdYlv/zyizqu8r7ahbtRie4jALSIFoZHiCY/+ggZ/z0povhKSahLDpjXr7Pvy8ucw7tPUzmuv5/wtVQUcjKpBen6R1RBUQERx6uvE1mMjo/jE5/4MQBAQ3PxwIe5//3RH6O3wBfkORAQL0Q0EQS09kxdLSiEk1TFibfGuShViPq2pC/Ro6oO1+McHzt6CIMDXGtbG0Q6NxbYz3icY9+SZ8R2QboNYro74arOm+smnSBivucuotkjs3zcWlMuPmWqhZyrjXUerzeb6Or427oti8neUEVDU3n8bA9R+9oG+QoLi8ytf/Beqlf2yZvBdZVLz7Hv+R2ef7+qEnpSpl7Kz/dJ06BQzcFTnX44yLXmKQde6bqUKhoX4LGrZa6tyUn2bWqSFSimOJnN9mncuI52dhgdOzDNiFMwNM3jieXutjvI73Auzl9gdME8OGYPENGOj9FroFbhYjuvSpNikXMTjSnioJp8cwwMSvckFDBXT0UPBTXtOmk0qyhLCTYct4gi15RVXcRiHMvhYUZI8uLUrClK11GEJCSU29unKg55tszNE3H39PAeODs7q/HqVd/dLh+jpTGPxBl1SOgea/yPSFw8sJZxrnj+dssrlRhxml+Ww+oCq2C2dhhZy/RwXNa2GYm8uaC5kwZDKjaIlDhV2Yz8K0a43u++l3yhmYOck/J/4No9f4naJR3rhPHCLCjUfX3P457yBQ82hwDEX/E6u6MAFoWwbxp/oRss8IJ3TOjgh2Zz4DjOPgAfA1AF8NzbfOxX9zzvOI7z7wH8Y8/rGqW+2++8+jZvvRNPwm9+85vf/Oa3/2LaD8XmwHGcKIA/AhAF8E88z9vZ85GbAP5HAE+B3IYMgIcA/B8AfgVAD4BfvCOd8VzY1stzTTPb2Kh8MIWsqF7PmIZ428XiAlFSUnnMIfEReqS215DLoAfVLQsh96jmvFrhbrS8JQ9408wOGiKQfrlyc6YsGJSfe6NdR7PO99bWuFs2DYHJcfYllSDCacrT3VU+1iosjHwbjxv6VKRAJ27ObhXlHstygsvKy8Fx6jh37g0AwPwc1QKzPfzN0WGiBrefx5reR/+GVofIIabfzGS4k3/9DDUFLl9jJurSJfJRF5YYkWio7z3dyIyqRFT332nf8mM/cYQ1zlY7ntvi+XdaPOHlJanqKW997BARcTxJ5Li1zZxqoyL1RqG0fiHGjrHT8/xcXgzxL3zlb3D0JDUPJqUdsL1G1PX4wz8CAFhf5POb80QhjsY6IuW8dIxoJqQ5qina0a6zryVxElblQXDko4x27J/l742O9qNfY+qJQ1OvcR6txvxigXPVcZmvTSSt4sRc9IiIRwdYc37fPR/jOASIrGpinG9uca5efJnqh22XUY1UOopajbcc84roiJ1v/iVrq0R80Qj7nZ1mVM6ui7YqLgakY9CX4vF6Y4bW+H7A4XgcmCXazeWneZwq10V7rdPVMQi6jASY3gd03UfDijok+f74KPt08CBRfThs+h7mTcLb1twNRQHq7MPQoKp6kuLwjHD8DswcQFhcowP7xUuQOmu5yPO4eJ6vr62bIyqP0ZcZ13NF9eR8aDygqK7RsRGe/8Q4rzPTcCjk2LftnY1bJfJbqt6wihKh1qDW4NEjxE99/bzWbi5Q1fL1s9SSKOQ5d5NjExpGHqdY5PXQbvMcZPOAI8epVphKDWF9lec1f1N+Jwu8f4TlzRJ0zBuD94dEnGNqlVgbm1z31xdY/XN9npGmbSlmtuSku5jjOF2cY9/Sch61yFIi3o94nPNuj+aQOTDIjlelCNpRxCXq7A10mweDQXjjHOwVOtiT1dfHXeft9Qy6x7AIQsfCEzaJnR+6aoXvuzmMg/0BgAcB/CmAf7n3M+IjPHvbS1UAf+Y4zosAzgL4BcdxfsPzvLPv9nue5937Nv14FcA97/0M/OY3v/nNb377z6v9QDcH2hj8IYCfBfAfAXzueyE1WvM8b9FxnK8A+CUAD4Mbhe+/ebccsgDAVWYnYHnsblLJ2LZSKZSDWDQW67rkRRPcidrGzlPOuC1UEpRDW1P5Sctbj41yd7opLYViibvUoOjrxkpVAAIN5aZ2SkSey6uL2NokYi3kiQ6icgesVJWH146+rHxnRs54Q0KEnhfSeZmzHZFl3wARckps/ViBu/iiFBQvX+JufW19uatgd+wo0XpflujSFCEH5T1RUg34+YuMCHzgA0Tr61vMU37tG2TOLy7yeblK9GFZt4wY0KbiV6kZO5vjFAlFMSA2+d2nqeBnyo/FHY6HucttrZmfQ1h9ZJ8LRaEPjbk5Z4aixsngXK4K9a7niH68IOdmZW0Bf/BHvw8A+Pwv07ehJ8WxnBplROAXPkNJkNfemAYA5HbIew4TD5EAACAASURBVIhGk7t+s1DguFbCPP/RQUKMbJxzPjQkH4wp5sPNDyPohNGWCmdWHgGpGaLJsKoWGk0eIyXNAS09hKRzUFOUYmSYfQwE2beiohitHL//8oWnAADb24qiCd2Hwim0pWhX1vq3nLld9B0hoKUlzndY8xwXQjy0n+i1V9GvuPQ0xvpUBy9dkGiM6yCV4PEevJ+RlAMH2PeFxXUsSxGyqUoJq04IqGKot5drNCUnwIxy5o2mKehxPJc2OFflIiMu8UhD46S6f+liNKVvEBBd3el4CKuSZmKIa7Sm/P18g0h4uJ/3g6kJ5rmTSbkXiosUEteoq2qokTRuh7HZK4p2laRNsbGuPpdLSIuX0e5wDKsN9iGiyGJvVlU5TR57SO6ro6PM2x+Qeuflq6xaiAuNV+Q1YjyYfnAcK1VGWDa3FFXs3Y/9B3itZfRb169zXBYXee3lCuxTq2laAVwP2QzXwU1xC77zJisJSjX+ZjuY0zjxGg/ommwoMlctaIB2VJkWiiGgiJJoHN37X1gcDIsomy+Ko7WMrvKlufZCj+J57C1T2NO67o24xQ1xnLepGfguxUSpeXb+M1BIdBwnBOD/A/BZAH8M4Bc9z3s7IuI7NTH4kHzHT/nNb37zm9/85rfvqf1AIgeO40TASMFPAPgPAP4b77sTMt9r+5Aeb9yJvjFf9M57FFOxM0/0jQ3m9nsyMUzvIzM5YD4McsXLSfO/LU/4gPQLZD6IbIbool++5omo3Ne29fng7vz/xia/WChx97ohl7al5WW4ASmYCZU1xAB+6RVqAtTFyp+eIHKMRy1vLUZwUv4PQikxMd+jUUVM5O9QksPdjZsc+hs35tinwnbXb/7IEeZnkzEy5R3JTBZUzXFRLO2hEUVaND5PP0ttgbU1KsHV60RdVu0RVb43JI6B5X+9kpTSYux7PJLE0SOs/T8ww754qsrYWieCKexIQ70rP1bUeXDfWS5z7kJCpSMjveoT5395hbnX7RzP3yJOkaj0ALIJvP4alQy/MkSE9InHqf2eSTJ3furEKQDAwQPUe1gVGq2L12Fs86bQqvFIakJ55l7pKqeczmZ0rkRxtaqDRrGs/5f1Hc7n4CA/M7uPfJDTUovb3NCaNc6K1svszGGdJ/tSlMbCjbnLAIANVZZEhIp7xeYfHTmKN94kH6FcNWdPY1vzs2Extr02+7ayzHEY6CGSzpni6KAiEHLUDEK6Gk3NadFy6lwXYaE/wx/Hjh7FieNEqdWaNPJd8waRt4ohQmG6ulQYzXVxdYXn+Z3vsCplaIBz9JEHOI7DI4zIRYTu00kpkkb5u+1WFau6L9h1HUtwPR+QTsOEKmw8VVHJ4BIVRSvb+l5T0YyK1fUXGMXZUa1+ucxxqdfl86D7U6on3lUNbGlsOq6pc/KY5oUQk5plsWj8Dx7q4AyjOUcOMzpz5iz5Aks13hcGenkOzQbvF7WSIm1LUo4sVjG1j3yO6f2MeB06zDFcXOC8r64wKrO0yOfr67x/JDReh4/wuqmC533lBoPIFVU1NHRO5hwZka6EIw5Hp2XOiHU0dSMwBdxqnccM6c+l45mGyO1YH92IbJfDYW6cjrl8vhuiv41oYBGDgPkueG/5ye4tSxERLxDEnWr/ySMHIh/+Fbgx+B18DxsDx3E+8havOY7j/K8AHgCwBYor+c1vfvOb3/zmt/fZ7pS3wk8C+Ek9HdHjA47j/J7+v+V53v+i//82gCfAP+jLAP6Z890m1c94nvfMbc+fcxznCoDv6DsZkMB4AiQn/pLnecU7cCa3/XvnT7Ep57jCfNfcwgWMi6lrrOKOp923IgFl7bqNha7UIVyh8ZCYwpMzzJJMHyCy3Nwk0jp7jiz9y5eZryuV5V2gMWxVgZrLHXkyTuRiLOu+o8wNjooX0St0b9UK2Syf9wvpNYxBLq3xm6pXXpIG/9XrfL6dM3TCXXlPTxp3nSK3c2Kcv2015StLPNbXvkYm+8GDzJE/cD8///t/+O8BAN9+gVUKSeVDG+IqmDNgLGzOd6aoyN9Oq3IkreqFnVwJ46PTOm8imOUFjs/qCvsSdIgu4/KY6ISJyiz36gSJxnpU751UTnVdKpglKd/FY1wPIRClCqyg2Cij3uJn/+ZLVF185SVq/X/4/scAAB9XJGFYlRS94kksGN9B0R/jBySlTpjOMidtiNhcOyOKGsFTHXzTRWGbaPrmdeaG1zfZ77tOs377wEFGL5742M8DAKIBnsfla6yt/9CHHuA4jnA8V1YZMbh6jUqQrtD7xBjfLxSIVps1q0w5irbWwcI8kZ9FPkzFMqjIkV0/rTZfrzWFoNSnekt8H3F2tvLsS023geo2j3tzntfLxBRz9q++TjZ7qdzGvfdRM2F8gmg1GtU1GTVdE+l2SDEvl5dS3iKvPdMP6R+UpoDWjReUA6LmvK1IVWjPte4giHpTSF556rC4FXW5SBbLPFahxMcdRQq3xRcq6H5SV0jBkRKiOaWG7AZjkUzB/Z4s19Hg0EBXhc/cE7cVnQmokmJQXiR2TTUb/K0dcUxKikCZImtQ639yjGj+5PG71Ece3xxmXamYXrm4gKtXuM4PHuY8Pvroo/zuSUYQZmf4uLnJMZ27OQcA2Nokp8BivWPTvJ88Uqf76cIq1/rFq4xmXL9Bf5SdbVWtqGompuhO2y0DqoxQULLrA4IuepcSqnOLVQAAVifQ1TnUf7puKd67KRcGbvvfbjMFb8/fpL0xCFPaDDjtHzqdg9MAfnnPazP6BwDzAGxzsF+PAwD+2Tsc85nb/v8vAXwQwGMA+kA22gKA/wvAv/I87w6lFPzmN7/5zW9+89sd2Rx4nvfrAH79e/zso9/H8X/tvX7n+2kePLieh4CzJ5e0tyn3rFQcVqW5/a0XnkRWegXTs+IeCOlG41b5wB19X4Z565n93Omm4uYzb3k/83NQjf0WUe7cTVYE1LTLTwjtmBZ3eiSOien7AQAnTjLHPthv3u08ZEdVFuUSEYIxd7N9ROktoYv1dSLsmzcZGbl0hbvwpSXu8gvqg2mJm8PeA/c/hGNHiUJtBI1lf+Ysc+8jI0S899//oM6L3ILCDs/3gx/k68YlaDR2a1y1lGO1qEWXWi8nwFpVWv09A5id4Vx0hDbnxJGwHXY8nlBfiSIGh8h/GJ0wzwWp9a2ZTwT7UiqomkPVIA3Lb4ofYap2uZ11hIXgLOd78Qa/aznPkJDePXdz7hJxRnGKNSKjlvreo2hP16XN8uMtU/fjOBgn4YT8IMKBAK7PcR63C0RNdSGiuTWia09rKRXlmvzkE4xmPN4kCnMVhWg0+OPrG1w/2T7ySbJimqcjjN40BogMG9LNd7wMDh1gJXHypxkRe/Y5emLMyXMjLl6L8UI8RQ7GxnkefUPkPWwae910QKTut7kk9z2h/508n7fFJA+KX/Ps157Ey1qLh4/s1qBI6Fq0NVfUdbJuDH8RhWZnpwEAA0OMtLlSmLRoXp8qKKJaX+ZS2RK6b9YbaBua1DW4Lh5DsWKcEs2rEK6WQZebUJdMZ7MjDodu6Z7Lz8djnAvTJml1VDmh66dYqnXr99MZ9je3rTGzaixj5YsvlFIlVk38Blcs/C2pokZj4tr0cFwsamEaDF3HUd1nelMdrG3xnvLKyxd1LJ7XXXfxPjI0yPUSi7GPg0Pkb1jVwlaO10lH2iOz+8gzmpnm94/MMko0N8f750VVR81dJ+epUOQ1UaoE0NCYRsJGHjBDA0UG5JR6yyHRXDi7ZIPbTxOus+f1t2ldF2AncOs7dgd9N75CN+hwZ3wVgB8CnYMfxuZ+195gLzVDNqEigZkZ0MWLr3T/cMwc4g3n8AGSdSbHGES5526GcEcGeEHWy7yIt0RqzO9wkYZS/M2eNG+8rsrvDiq8Fj7M5/G4GS+xL8l0GCGFXgMi3VQl/GHhMjsvRzf7pu44r77GC8bspQ8eJPHM/iAtzM8BAIoiNFqJTzHP8OLdp3njf+CBh7sEykKeN4xnnn0SAJBT+Pcf/jJtko0ftbzIG/AnP8GQ9r7ZtH6DN+qExKIsBZUTAdMIV1Z2mdNNYmdLMta9fTgww3SKSTeHFLodkQ10taKNmJqVsCUkWhNTOWGxyHFa10YnGFCBjG64qyv8bRO6shZAB0GVxxlxKKmN1OwR/iFGmH9Ynn2B1JloRHPTNGKrSVhLHClisrjQeTNFcO0Kb35mAX3wwD/S56OotDhWyV5+90OnWTZaqPJ8XnyJwqShOv+gfPABrtVslmuw2TbRJK6HD9zHNE2jzbEvVxSq1Ti5kuvu6eNcJntiQJCvpVQW+NzzJMluiZiXVLnstMLDE9O8fu6572EAQF6k2QvnmOoYlEzyYB8ft1W+WywXdQ4qX5W97rhEoUqtIv7my18GAFTOsd+XrsgvXX/kc7L57WjMw3KNSmot5iQa1duvUuA+bsLrkgZ3OwIK+yTQlZbks+4vjUYHLe1uamWF9Jf4x9GIxhC46FVZZFTXcE2lisOjXIPDkIiaBLx2cv8/e28aLNl5noe95/Tpfb+3777OvbMvmAEG24AACG4iKUqUSFG0y7Itb7FS5ThVtlP5kcSxKqn8SMlxKmWlynak8l6yY1uLxQgUFxEEQKwEMMAMZr371n173/c+Jz+e5+079xIgQXIgUsl5q8hG9+0+y3e+c+Z73vd5n0eJmVkeO0tilF1vUPq8Wm+Ij3Mx4I8celWBoUIB83qzytZDCro56p6tks2UeB/heKRIrq5TwGp3F2Cj29WFC459Yf64TE7hem+nsTjKkSz80gsgeyaSmHMTE1gkTIzTdn4S1/M4wViOdusrqygBlSosG4RwzA+cg3DXU1fwWi0DlNy+jbLDjVt3ZIMCSvkijqVMUTMl8urz36Igk5rlGbpoYBnmoDfROPxewzj8gf7MMGwx2fqupkxKEn2/8LAsJ/ePj/iTa2V0ww033HDDDTd+OsPNHNwbjiEysGRIOLGU5kKpVxVFUutNptn4IoVaVio3aQSUB0IOG1ihP3QSiH9pCqvyKle4t28gpVulCVKEBiAxrt6HFr6UHI0GsTrV9LFDY50AIWS3XpVaD+ggEsEKPs5Sh8E2l2YDyL9JAmGliG3s7gC91WikdJItgDHKInt8KqdKS2fa7Z44jtX75csgHgX8ztDMKb2LdGG3jd98+lNIVY/Q7vbNVSDA6RmkCSengAiiUaDU1CgQk3FklT2SxO9tbTtSi2uiknqV6dZuZ7hy99HW+srjyOpoCnuX5CY1jknxGvkCeB20ma3I0IabbVQWxyNbBCIqEu15mCIOsFQQi8alQcnVTgsp50gQFzRC1BYmshswQ9Am6UuzODUi4a0dtE32BkDIYqiJFq5ZMQuk+Mtf/CUREYnz2tWqTUkxJR8MU3hnHmN+LAgSbXoXc/aP/wDpdtvC9T17FvNgikRDi9kPAuxhuSZgUZ45QiGqgVpZYxzsrm9YilrfxJhNJbDtR84BdU8ksNELF1BeOX4K2ahcGd//5kswqMoXUBq6dB5zLhZFhiE1AQSZL6FlMpXENTx9BnPU5r2diPjlxg2g9AyzdWoHbbLUE4qqqRXGukFL434b59do4n6pVth2yutfo/laldbMaRpPTYyBZDo3C5QcDkYlTDEsJifEE8O1sAxkYzJZoNbSNknGJKKqxHGKGchYnFmsFD5fXNLrjnlU5D3ebNKwSK2hA6Hh80yJkoGhaRc+3+ezbH0Vz6oQyyRTk5g/FrOE4qGBUxjnGWO2U4m+o6O4Z7d3MB4FZv9MayBhCk3NU7Sr3gDSN0h2LNFo6uXXYVXdF+xrYQnz5sIFZDnPMNvp92M7v/u7KFv1OmwRXQZJciqOa3DuIcyzS2fQhrm9Xpf9HI4vW0RWYXsXmYTtvbt8xdy7xWxDmXPa69FMI9tmSdC1VSKctEkljSo2N9kaOfROcmwZqHK5fibmofcaJp9tA1szDIMP0DL5wcLNHLjhhhtuuOGGG4fCzRzcE4Y4YkpvKGLjEW1HZA2VBB2bAhUWyTFKQgzGojJCOd+nHkDb1yMPAfnEaZCU2wOSTu8BdeTYTmbQUMnHVbba/9a4Yi6X8T2tLTcoQORjv02ImQav1y8jFOkZTeHVZuajw4xAi4S5GolW9Qo+L9OIqEdSpArVjNJoZWoWq3R7h+1QrD1euEAexQSQQbNRkWqZBjIkbz31BGp8D1y4yPMHatjaxipdiZuROM7HqqDGKA5tg5UTRHSvGQMlVqkplK6aHaZzgkGv9Ei8i5BDkEjgtUthmLH4gGNIKV8VLaHJT4vn0GS2ptfDuWUKQFSlCq7Jxz4B4l4fwyvvvAUOx6DfH6KrZAwoem56jvsE4tM6tc8gxyKOOr/fy9pwBe2CgRDRifbFMaNSb+GanTyNZqBf+PnPc9wwL5yBJd0OOBflKo775CnMi5kpoKwnH4ecyMsvQszopddgi32brY8L80DfExNAjMkkSWJ+XKsWSXSNOpC0SdHSgI81audABMxPOfBHLoEoZl0mL8GLaxIKYa5VcriOb72JFsTNXaD9YBz7GjiYoyZ5NqkUMgjzc7h2DZqCxZnFUQnkydFZ+YtfBsL/Z//2X2CsiC6jIWTcBiTS9fk6aKshEc2dBNFntqpcxHl3aMjT6mBelGu73DeuaTqLLOIjDz8lCxTF6pBAaNRwLcI+jNOEH5mFTAb1/t007odwmMdKUyhPAsc4PonzGxsjqrfwPruPY9ojYXMoHd0ZiJdIN0yLYottwkr6LVEcKsq/K4ExQOLm1hbOL5cHua/dxX3itXDdw2yr9Zg41mgE82azCERe31yT6SlkTJRAaaudNk3BfNxXpYXjv3oL/Jhvvo7MyuyLyDA+zufu7AwyBLfvwIS3RILj3jb2s3oX2Y15Zs/CIZpsWTNDTsXyIu6ljz5JQq6BbWSYWfjq178iIiLPvwjbn4013CdtPmdNVbY2tMVx2JfI4AyytU33ns/fh8N4QGM4mkNQiWbnvrUyupkDN9xwww033HDjULiZg3vCMWyxjar0aFXaa5HFyxrb2DhW/iP0HB2lAcniIjoRJianhvW4E/NYoY6Q6V0jMuzkWWfzA8lMzOF7yl/oEllt7Wn7FFbG7baaIOF71QoQU24fZj/aRnj2zDlZjGHlq1LDTda5q6yNZVkzz+4je5Fn61K9SS1ntvC0uE+/H+c7NYHVdoUCLCNkZ48m8UqgLeI4sk+LWYdmVTpmqu5ZrQPFXn8X6FqNYSbIylZBJuVLeLQNSoVFPJoZALLwkHNxwOKnKZL0ZXQE24pFU4fGoZCmlSzPO0x0EvXjmqiCaYuteIEwZXQpK7y1DaRQplTvFBH1k4+AV2H0f0dERN6+9rxYRMqJURzLzCy+OzoKFNVpeg5tayIGJGPbuEX12gTYkuYjuq1USxw/zIcvfA7dHieW0YmwsY5atccMy53bqBlv7wLhLSwsYl9jQEiK2k6fRoZgLw1kd+sW6ryvvApDJa2pTjLjcPIk0Lq2Ytk9HEs8inmRGsH32u2WBIl49bqKSeRP4aAGUVe9oUV4fG8gtBVn65rTp3kWWxp9ZMrbBs5hdBT3ZKWCLMn1G6gfnz2N+2RuYUE+88nPYDzSYLa/xLbKRATHohLUkRq2XSxTPpgZN3FUzIhiSXzv7eFadWgSVKSxV5XXqlrD3B8MekNb9AkaL6UzuN7bexvYN7sL5mbJmRgg05ChRPXdVcqLUzQpHNbzZ92bJPfpGdxX8zTkWlvD3L99c1NIb5FeR3vvVHAMc21+GvX5BZo/qax0jx0T2gI6yUylSlXns7QGD9L0iAjaYgZhhEJfpVJaCkT2YyntAKAtPMXN2hTL6lH+2BDMm25XuxMwzzfuIsOiLY8qia6uPds5tg7fxPxR7kU4wmMKRyWRxHNimmOuYzbOazTF8/0LX/5rIiLyM5/4goiIPPf8fxIRkX/1b/6ZiBw8Z9QJXHkBHpVVVp7A0Kv5oDnyB4UzTDowY3C/fJrvCTdz4IYbbrjhhhtuHAo3c3BPGAasUMOsDY7GsVJe0J7rObxP0drYTwMVL1GhZfmlQ1vWW3fJ7A1gRZvgNkfih/UJzAC7DCh2kiPzPZdWwR2glDa3WyfqaLJ32MO+59gIVrVjUwsSoYRwl8I45TKQzO4e0EKlouJHgPrKfA6GuVpnzTRfQA11enKC549xKBaw705bxZSwn0iYEMRx5NZN2rcGyUKew3dbTfbrs04b5j6rtSxfabVK7QhlfNfZB65mRwFKGeurrpwDzCSo5Wk4HJCPPAlvLrW3ff0V1NJ318D8P0Uhqi6RkBmnDfII0IRK/O7t45qub6L+32pTcIfiKKsr+PtHH8H4P3IZPIu+3ZHdPfymNkSNQAlRIpZBV3ukaSDUwjUqUgY4TAa5Q26Kwzp4gfKxOgcffQQ1/D7Fg0zazFZbTdnL8Pprx8AGUOe5s5CuDrIX/NQpML5v3X5XRER6RML1Fq5RpY7t1NcwPwwL21tawv2hvAituTfaZIofXx4KJSl3xHBw/TwUB8vtseuCffqhqGoLqCS1miPhvqmQL6PjGkvM8xVIuU5xm0wGr+Nk94tY4qVw0l/4EpTfL57G3wp5nN9uGuedLQClbu9gG9sD1Njb5J4IOTqWifspEKTUtY+yyV5KQxOKqezy+saanMthXxOTuH9V5lnPP5tDViPOboTZaTx7ZmiCtbcLpFym1sjuFn7nsEMkGMb4LRyjLDfn9CkveA9+b0L29vDbPDVD1JJYJax97JjS3nudu74YruvEOEWAiITLvCY52nM3LRyTdk/Z5FfEmOEMBj2Sy+MYusxKqLBYg106DZo2dSju5ZBjFAshu9MjD6TFzqJykx1F2nFGMTmVPFbV6l6b16jEjI3REovS9r63yZEIa0cIsn0zUyoLjfvmNEW0YjF838+ssMlEbF+FLZiRVinkoZmSCkYMO7LePw1gDNXPhmI1eDUPfnm/kghu5sANN9xwww033DgUbubgnoiEk/LEE5+Sk1Q3HJ9gPzIZwX2aW5RZc9/bxeq0UdeamneImoIhWqKGVbZUZU6x8g0NxdiwUm6wplwlMz6dASJcWwW65UJaFsllOHMMqn/zrIuNjqB2HQxGpEGb3wGNTUpVSuqSFBAMqSmLh9/DqrrDv/fbeF1dwb7HmSlR46L8FJDBu+8iO1ApEzH5cW472xtD++bjy6hHK8Lz+YhsCPWPLWGMg2zTVj2DwYB13GE3AvYRjqhhlSoIAtVZfK9ywkkq7T311JNDBbtn/xgqjbubkBGeo6ZCmfV6lblVsx+ba+ca5WO/exVmScrF8FK9MUCms5rfrK8CWc7P4hqFo5+Tr34d21hdxevU5BzHAeddKgO1+anF0GiWD51/lP3tqkHRaOGYy2Vc24cvP4HxPAZEWG1gnP3sktm4dlMq7CLwBXG9NROi7OvxMcyt6Sk16EKtNZtFNsfrRSaAyQ5Ru5t2B8ekiNDrZW2eypOa5Vo6tiBjY+y/J9L3k00f9ANFpuJAaSusiReY9VJlvwERk+VgDg9oSJWjvPjUHLphvERvMcqUT08A/VKUTzL7qxKMYpvjk5grTz8Jqd1WG8iwUcfY3bmD837lNWRSDMrQpXM0xXIwN7W7yWtpTzrmh0Vjr0AAWTSTxkTnz16W+VnoMtSrtGYnxX2Z/fqqLthkJ0iFeiiJJK7V+fNAr5o56LJrJZvFe6HOit77lTLmTSiIuR+PxyVIzY2ZLrIXKpesWTrddof6DsqUbzIz2elg2zpXuxRtUJv1Do/BFv0ethuMICM5mopJzyaHgCqeRp9mVj48R6s8n1IO4xEwccwTk5ijA4M20CVcq1IRXCzbwO9MarKodLxQgdSipLV2DPT7PelRqrrF883lMf/FwXPj3XfBwXnuOXQrRCLgEbV72FeFGZihKkFPOwvIg1IiCGWZh8ZMH0T6WFUphyZPmkHg3z1ut4IbbrjhhhtuuPEhhZs5uCfi8TH5hZ//W2JzeZYtAY3cWQFCaDWx4h301B4TCGJiHIja47HET2qqj8YvPvaxh8JASL4QYFeTK/lMGivd7S2g9FodtWa/B6vR8xeAZuYXsY/lY4siwn5WOVCn01Vpq9UXscmuD2pfP9BTn9mLInkNZbKnizSnUQTgYXG0Tg+F1VWswrVffXQUtbfUiPIAsNLe2wMzfGNjXUK0NbZZV9vdQe3UT7Qd5DiEwxgf7Tpo0Qa5qQiZqF47L0ZTyALUqUan2Y/pKWQ31A9CkVcwHJDnvg0W+q07GOMxdi90WY4MUZvCS62IEvUPIiNAwItLQJLnzgKVvvo6VDCjUZxLisZWFtfaOdasJyfxeSI2LqNJZEj681jiLy6c4vk2OB44lnlqCdRoJLWfucNxwPf6ROcZjnWEBk1/+Vf++qHxbDZpS03FxLeuvSg9wXlNTwM1JlM4/myJWhMm3psOe+VTixinFnrFA0T3jb7WpDGArQZeV+5uiMhBB8bcJOvavAcK+bLEwthHMga0HqRPQ7/LuUpFR58/zdcBt8FsDlFYmZmTJMD4sNvFGVB5cQL7iSWAhi0L90SpQG5LoyJtKjh6vBjrSAxzUDX/Q3wNB8kXIot9bAzj8PJ3XxMRkW12FHlY5/eyo8JDbxPLg+32WjiH48dx7U+fekgsg9047LYxPcyQOfQdYK/9zi7uwTrvhyw7ZibGcUypFE2OOKdt47CSqj4n9sll6nTxag/8EgrrfY3XqUmcr4+dMfv7mGtpdvdotHgN6uzmqZAf1ORzUvkukbAiZmZB2vS/YE0+npiW1DjON8fro/eFGitVmCFrk+YxMYaMyyyfRVaYXCYTXgzlIo7ZsWntbquhHRG32h8QxasPjSHh4T1mUfHQtGgxzS6cbl/Pg1mKMrt0yJvRa6kZJkX5Q8tmW1/xol1RpnPo4/cJ58h3+CNDsxGmmzlwww033HDDDTc+nHAzB/dEv29L60YUNAAAIABJREFUOtOQ1Q0oxKnSl64A42SjTrIXP8ReWrUi9VmWREKKBLASttjzGwgD4qhr3LVrqF+ur97kPrAqPXsG9d5z1PpePg70FWWtvUidhE2ylGvVwzVsvzcoloHVsnZE2Mwy5Pnbfeq1q2WqYSoSxDiYrJUazEbkc6il7cWAytQpcnoadc8aeRJaoxRjICGypBXZN5pAFwVqKiwtASFHidp7W1jKl0pAHyY7KMbGkClQpTSvl50E1EFIJnEsZ8+CJ3LsGFC+7WD/r77+ity6jYzBiZOwsN7bwdiNJnA9xyaB6tUZ88Y1OAUGIlBGO0ZXx1/7tb+LYzPRx7xO5UC95jqe61vv8lhmecw+ObmM6zk3jes5O4Nten1EKT7lqOAipHdwLM8/9xK2rU5+5Fikd3ENP/YxdEScPnVeRA4yKoqIrt+A/vvKyk0Zm2SWJoLrqp0iqoSnEMZkjfz8OWRKvvPScyIisrWNmquHqpxa6PRQ/bFNN8ocrb6nxhdFRGSCypmOYw+tpU1yBjpEiJ0mMwJUNHSoaxCNs9uC7HKfDymWCvUg8uzWSJLNb/cwx6eZtWh16G+Q3hARES+d9CampyTEbJVpssvGYEcE579Nm7xoDL956NIxjhuzGFonf5lZwAyuWYc1+QStjU3ejxEqDJ44fkZE4H6oVtw92h47ftxDfnZSTM1g7Lo9Zj7UjbSstXTyG8hij1GrIxikP4gP49JoaBcMWf1N9b+oSLWBMWKCQCap1zE1NcVt4fOxMXpPsGuh1aI9NP1dbKp7av1b+RNeepC0ue8e58A2rd+DwaDMLGBfCY5Dgd0LxSKewRazELP09whHSR4hNyGfwbYKtI3uMi2ozrEDbtdQ60OF3kMLXmYWBgcn0GdXhs3uDdNjH/qtYfGamaqcqdtUcQXNKKgt9/fY/fJrVH2VD65z8L2hroz3z7LZzRy44YYbbrjhhhuHws0c3BOtdktu3L4mfQcr2zkqyM3NoN6vSmh+uvkd9fGenByTMFXmKnmsdLfTWI5nbgF1be+ht7zTRd3q/AUiyimgzyGa5epd9f7zWayIV+4Craa5XfVU6Ks8YU/EZN91jYz3TfIZtneJ/Lji1fPwEwlaZILbA2ZEPIeRT6mkfglcSRMZRKP0QRDtSDCl39eaofbyYh1aKgDxOUt4P0aVSf27l8dy6gxYyMeoPtlTBjTZ2NqtMEftibEx1LnrZHXv0Q2y2WzL3OyiiIjcvg1lwGMLyFo8/Ch02GPkR9y8gfr+V7/xn3HszFJ8NgKHw8VF8D9+9S/91yIi8nu/BwXENeoeKIIqO6gPl6s4hqmJUzI1ASQbCVNtk0qJyZSiD2RUVEVu0ENGZGkZWY2NDfAC0uzXj/CYP/PpT+P3tEgcsP+/3WaXwjoyDIblH2rht5jh2SVvodXEMcVDyGYkIxjrJOv/jz8Of5AbN5HFsMnOV38HdZ1T5UQfx61CjQE2DkhqLCL+AJ0Oa5jP+7s4714Hx93qsqeeczPI+TA+juv7iY9/SkRE9vbAYblzBzXmTg/nNMvOg24N213dwLVRvYTxmUUREen3vFKtAT2rW57ppbtkUL02OOca1BqI4ZodX8Kx9HqPiIhIMU/+Cx+nLRbGtVsowLl6+WHMn0uX6AoaSEo+i6zbO+/COyIxicG68ADcKrU7Z2IS3IIm3T21zaXTwTnspTHXjIkkx5Hs/B61S+oOf49zKpTUgTUrwTDGPsAuk4ZmEnKYx8mk6hGw/58qpCY5JxRnlbDN7I3j5bH1OU7agUSVU3ZreIhNB/2Q1Mus05uY99q+7zAbp74UPvJDBtQ1UHfbjT3c26U2jtmrz2Z1QOzj2njogNjnHBa+6pweGDIs/g80FaDI3lE9B3qv9Oi9o9kH4wjyV47B0FLhaAbBuXfzIqph8COQBpwh5+BH+/17hZs5cMMNN9xwww03DoWbObgn/D6vHFuYkxTZ1klqB0Sozqb10ghX84q8x9lTH40G5e5t1LN3toA23roGpneWtfZTrA3PzeI1zI4Cg6i7UgKyTiawki0XsTK+fRuotligSyFdy/ysKRpc1YrHIz1quiuzOb2HGrAzwL7GJoBCBvRv73ZVlYwr5B7r+x5kJbR+SXAq1QpQR4j9/erO12ziC4lEVLxkoUdYd+11tD6JYysUgCpjCYzl9Azq8+fOI1Pw0INgdPe4yi5Vqjw9Kr9ReVHr/eUS/p7LYfwKeVyrRHxCtrao6FfFeJw/DwQ3Ng7uSJtM9/0CxqlWw/n9wX/+Dxhb9kJ//Bl4JhyjEuAv/uKXRETkT557VkRE3rmG/udGCyh2P7/P758foou+1i/pIqjKdx7C6x67NNphjOVDD8HxUjMmd1eR/fncz31ZREQuXvoI9ykiIuIlw/z6dfAm1taAqAIBS4SIzm9hvpqCMcxlMafu+q+LiMipE4qAcMxLS8h6PH7lGRERuXr1VRyzVxU28X11vzQdXGv1EtjdU1fCmFhzyIh5iZLKFWS3VOlxJ4NrEYrh2CbnwKVZ28Q17HUxz0+fPcVjRU1+JEE0yn53RdIpzUxxbm9uI2PRavaHTp5++pX4gjifKDMnFG+Ufk87Z2r8O8ZvdgavV64gEzA5hWNe31wTEZH0Hs7/gYuPiojI08+AH6K8h7XVFblLvwsdo/0yjiU1CqS8OI/MUSQC9K5zsU2uhioJamatWMJ4BqiXoe6uXSpw9nuYR6qvUS5WZHcPY69ZrRA7iVI27uuhEyozpBLBnO12lL9At9IOlSHJQemwvt9pUeeAKN4iZ2FkFM+hcNgrLT47Oj2Txyk8jzDf0yGT16zJrGh6H8/FbBHZ0Y4f18gSdW9lZxnnqM3niYeqhEPqwUBTFfZBJ4AOkqPKhvpl+ns4R/oK2BEx/PlQAVH3MfzLoVePOsl+/zaF7xuaIBHbVUh0ww033HDDDTc+pHAzB/dEJByVZx7/mJTyQJ81IuQOHc8WFoFiJiexotY+3xZ1/7dWNuTlV4Cqvvsm1PQ2tsFcT1Glb/HjYIBPjuD95gbQZdcGyhgdIxOcq8n0Lnppuy0sK4M+IGWDXIQ++76zOazeo9GoxNgZMT0O1OFh14EjWI6P011Suwsy+6oqVuLnOF+DtUXxqgUY63LkEwxrZgPVvVc1u6D4qPWvq2d1zfN68XmlQrdAL1DK0vKiiIgcmwOaGIlg33WiDv8YYFyf/ciKQipVIm2qVEa1c4D+CHfv3pIV8j1mZoEiVV/fYm08X8H532F9OkC/iw67Vf74j+G25uc5PPHEMyIiMjuPHvqf/dkviojI2Bjmx+vffVtERLZ2gcjmspsyMYbvOtTVLxSoEMi6dnIM5+On1oCPboWpEVyr2RnwJGZmcKyPP44sRreDaz1gR00hC07LH37lX4uISKkCRLpwbGGoR+EMMPdGqL1QqfP8198SERExsO8FajF4/RjTL3/p13Ce48icfP0bGBfDpGqdXxu28dokstzcIYO85RefQUfTpMosEp4z8TU6jrn0zg1kMfZryDB1WJh95WXcXysrGOtf+Bk4Kz54GryIShu/GzCr4Q1h/HbSOIZsjvPOMod8nhAVUCMBzNWIz+H5MBsRRnZC1Uwr1JyIxPC95RPIkgVDODefFwhybgbqoE8+/QsiIhJmxuGlV5/DOV59TRyy6JXP0OljHm/cBSKeToHvNEKHy/kZnNfbb4Nr0WPPfSxKBU3qAKgKYSqFcVPlzTY9XJJ0xbSsE5ImD2o7C/Q9GGCsGrz3HHIFvPT1GB3Fq5+eCw36vzS4c4v3qI/9/hV2RqhbY5I6I4kksx52XlpNfe5hPrORZKiAaTHTFg7oNSNPKkCvEio+5kH7kVoVc3pg45gcFTZghsDDzhTNuDrkPBn2YOhKqR4TB9BfN0E+B/86bBA4nHA7kB4Yqhm+dzeC5huUD/Gj9BuYtmf434YzGO7zxwk3c+CGG2644YYbbhwKN3NwT/T7Xcnsr0mPmYITpxdFRCQ1BvThYe1N+9hXVqGHcOMGmMbXr78j2+yhr7WBeOotrGzLdaCT67egqjb6ESCfroO/VxvIUkzPASH2yfA12Huurns99T8gimlzde9jv7xhmNIisimXcQypcSAWD7UDtJSmSnbaO66KZq0At8k6uNerrHT6vFOX3CCr1zCVy0C1Mo8xXGWrc6PDOnTAT2RMlKnuiyH295fpGJlL4zxjRM4m99nuABF11MWQNcjJCZzL5CR4BG++jWzBxtZ12diGlsSVJ6FzMJqKcqzw27U1dIDs7oInouVHVZ0zyK6+9s67PD/8/jQ9OEaZiXjwQXSexOPT3B4QWbftSDRID4EEORjUbc/s0VWvhHEYSaDG6rfwGqfDppdci9kpcDN8qmJZxfwJUd/9Oy9+W0RE3r6G7MXk1Dh/7x16gyha7XeJWiMY44AH82B7nbwWug/OTGOuTkyj7v3LX4CLYdCP3z///DdwnnSvjCS0lkpkycza7MVpGSE/p00vkR4HW7NVwhr5LDtMblB1cWYB+hVXHgPH4uUXoHr52hvfEhGRxx4BV2VsnLoZ+9j+Teo81JvkE9BrYXQkKYEA3fM4WX2cm0Jtjh6Ro0EsZ/I+sAbUaOD4pVQhlW5+hTzmqGFiO5ubQOTrz4NJv7OHuen3m+LlvHbIldDsS51qg7UqXqO8vmPkIkSZ7djP4hr5KVJiUHvFYWbNICJ2WGPXe9/HrMlYKKVDLv6Ih9ukmyZ9HPY9yLaoG6NqkKRSGMsY57Rj02G0R6dNE8+RQoFdDUHM5fGxiUPnXKkVpW/jvvd4mJUcYJ6IQ76Xjc/jIzjuhWPQivAHwN0qlHGMu9kNERHZ3gLvY3sPY18o4d4uUfW23VMNGxzDgKjeEa84+vByDj8vj1bzh41YfD80VTySMbCdD4rinXv+/4cLpTeYhqtz4IYbbrjhhhtufEjhZg7uiUazJq+/8S355Md/RkREJqexEr5xA/W9V179Dt7fBBrZICLI57EqrTfrYlBjwBvEitTPOmaV6Omd66iZPnr5oyIiMuCKOM9aaH0Wq+pIANuJx4BKDep2mwa9B5oHTpAiImNjRIiWX9J7QCjXNrB6npkFoleuQYfoO04/9VQK+0zGgL79PtZriWo0c2AQMUxOT/DYcY7qUx8i29k0nKHqngqS9YiyVKlMVdM8FlBHd1DjWLIroU81Ni9W9F2b7oxclqv/g7K6U9SYL7J/+22qHL71zosSCpF1fxwILxDEb8tUq7x58waPDeejug2qyjiaRCYgSC7HrZuoByvav3AePBL1k0gmqPaW5DUxexJnjTdKL4R+B9ezkMfx5shWr5Wwz5kZIOE83ejyOfBBxkdQey5Q7yBI34IeFeFefQlztM/atdZD+4O+WB5FdnS8VLROlNmo01WP2Z49ZlLu3kXHw/nzqKFfuQJ9iP/ir/9NETnwDnj22a9we5jTBxkYzKvTp8+KRY+MDaoohtgkn6RG/hpVGNUrZG4W41AsYF6cOYsMQvtBIMdGi90HA+hAjPgxHzIZvN/aQmZmehb8ivk5zIFIOCo22eU1qg1W6V5qkUukaFu18r1+5btwDnLeq59FMgm0O8XsVaGADotXXsY12c/T1TJm8XdBCbGG3uU92SZPQ8FmgR4BCbpVKtdmjOhbK9RhdlSpFotlqTYJzq3Jur9GIOjj9w0Jc14vhDDWEynMd3X8LLNTaGcb56O+H0vHMabTM7i+U3Q5bTWoKWDhnvZlShwf3gPkVxTJO7KsoDiC+0AdT7ttai5Qn2EnjWdZiF4R/hj2PTuN7N0MFTFnp3AOl88/jfOv4D7Zy2yIiMjbN+CLcpXdPOU6snt67xuOfC901zYCpSDobXMkI2AebV74wBkD/f6P0a6gdg2O6XYruOGGG2644YYbH064mYN7olaryHPP/5GUK0Ajgz5W8XdXwC3Y2dkQEZE2nQNVZUtr14GAZ+jo1dWeV9Zd/QGy6Lnyr9PrfJS18jaRdT6PFX67Qd1xIqsEddkTCaATyyI6U/at5+BSzkxP8zNq5bM4pspmioTqdSq7WUDQAT/2pQhJddvV0YzC4+IxtBar2uPUVVBP+X57qPV+IDNOxTLWxHrkCqiTWzYHpOcjuh2li2WxgHEKs67pY8ZBleOmWFNvt3Et/vArfygiIl95FhoFrXZlqDY3Sbc5L2vK6glRLtd4bBhDn0WVSqLZyXHU3CMRoDfVHPDQMc5ir3mECKxRV14Ixikc80uF/fx16jFEQ6RjE13UiVrVhTIeB5JcXwey2c9gnJaXFJ1hH0VmnG7f4Rxl1ki1+etNOuBVy5KI4ry0KmmTt2FyPFTp0yLbPhjCeW2RR/Nvfwd8hus30Inz5S/9ioiIfPQpoLTbN3EMdzahpDhJfsETV54SEZHk6KhsruF87qwgQ3D6NBDf6BjGuslujq0doOzUCK5vlC6OUSLkL37xcxyHDRERGWGXQ2Yf8yhDnYOTJ6i0uYysR4d6ALlcRvrMblmck17qlphDVz3Mfw81ElS9UnkviqDrzAouLYIvpNoV2h1jmBh3VWms1XHNOu26hNkBE6TeiRg4/zaVEDc3ME4pZq9C5K5EwuxuaOkzSJ1isZk+r22dLq82b0TNYKXYLeWILbUaftuj4p+fnQ8hcgRisTrHFpmDJp9dBWqypCbIWQlTD8Bs8xXH5gtoXR/3WTqH7RVLQPWBQEj6zIi26R3i6eE3BSqqrm6wO8OkJ00a13t8BJmD8VGoe8YiuAdH6ZQ6OYF796FLULOcXwZnR6ju+Nx3kLHok3vgd0QGQ/EDzRiQW+UcrucPkfUPAPzOD/7Cjx0Hm7DvzwbFzRy44YYbbrjhhhtHws0c3BPdbls21m/I+hrY7YMB3eqIkBWcW5aiYPaNK8vUsGWgrGC6hY2MLIqIyNI86tInlqHO16M+QYIoY3oaqGN9DcinTVQb8APdV1n3C4WI7lm7Vc91rZ8OnJ4E2Z89NYXVs2rfe72aScB5cJE9XGiqDoKXLpPal2towy7Rh3ZDOCQUqMfEUEHN40iPq+VmvcVtYPBq7IXe28V5dqk6GeM4ONS3r1NTIeoD6tLuhEgQ31uk42Gzie09+0dfFRGR58nW71DDIRgMyvg4xiEWS/BYvDwWHFuNyonJBOq4y8dxLU6fRnfDxBj25Tja702nTWWGcwDLVaAQw8Q1iUfw9/3smtRKqLtOkdm+slLisWDfBSph+pkpmmQmaYY199000Fq9iWukHvMbmxsiIvKdl1BDVeU8RcGNlqK0gsTDGAetlQvrrBEqYI6OAJ0qMzwWpxYBUd3dO+iAuHGdr2eo/08tAXUxTESRBXjyIx8XEZFT7Oro9W3JFTFGBbpvFiv47dwixni0h9dyDdd7Lw20+vAjD4mIyPIyziERx5iHmc0JkFeyVUbmZGEe1/DEaXAT6m0cWzoNHkWjUZcIm+mn6LIaZ3YqyM91PitPxiKtP8L+/l4L49TivVors7aeADrP51VXRF0ZcW2zObyvVLLSZKbI4sPFYreCzXu1VgNy3s9gHMZS5qFjq7C7p1rBvkcSmOOqmzBC99IevSccqli2WzjmSCQsCapRNpu4F9V7w8vzTcZHOC6YD0XO82YT57+5CV7E5ITDfdMnhs+hYhXbuXEDCqIt8ipMPjdCobAkRvHdYADzoTfUFMD87fSRZSi3oSjZYGZBM2U+k8fIrKfXRy2PBOb05DQ4CkHyovJZZG8Mm8YfA33tH3QpDDMGogeDV0e1EtRN8f26DD5YxsAZchPev9PgPjYhfOBwMwduuOGGG2644cahcDMHh8IRQ/pisOaoCno2h8njOfJt1pR1Bdnp9CUcZi/vNFDV6RNQbjt3+nEROagVlkqoqSqqj4TYMTDCHvw+VsBR1omVdfwuleMaRO8L1F5fXMSrmIYU6BLn9bGGGMAasMd6rmEeZvxrzVyIqA9swhABOuOpE1qLjncGa3I+1v+DRBod05buQP3RgUYO2OOoBXepJXHyJGrBE5NAm06fdd6Bb3g+IiINopTOgEi7hE6LF76NPvdnvwp/A4sXKRGf5Di1ZDwFFGlQjY9GdtKo8xhOXOAYLoqIyMyM+thj7H1eVXtUvXacW5sbqjdwbSyvcjQwTm+8ifroCy9+TS5dggbC9ByQzI2129wHlSDJwj5xHCi2xlpykrXm1AQyDgWqdw6of3HrLraTI6tdZdlMQ9f92pnQFHGAtsZGMcfiEaCoKNXm5haoexEmKqfaZK0KlLkwC8XExx59AsdOdPb8t14UEZFSHuPw+V/88yIicoEeFr0uxq1QzMkekbtDHky2gPugx4xbkFmIcAjbqpQx3zPsVz95EtddvQKSXrxXbwHDwbWaYh28XMS4buxg/vUdVT/0SiJBPk+SPhdU5fSRg6GJMO0QUHXPATsMem2y7ll773WAcsNUUFVV1HweHKYws0JLdBotFaOS3sXf6nWMsTAbaZnIkGnfepFeJKaBY4gy7ZdKYR+qMaEZhRC5GaaJ9z4es/ImVP2zX2kOkX4sGuR5Y343qA3h4Xmrz8Eonxc1ztksfTHyBWQULj6AjNvZs9AgmGAXw94++CbZu5gDQWYBA+KVagVjHIth27E4rsWJOOa9FX1MRESu3cZYZ3LQJlFeWJOqjpU6+VHMVG7sohPJvkZtFj7Lh1woZgNM8i1s6Q+7E4Z30L2GhyLDzIGhz8kPgPx/3PghGx/uS7iZAzfccMMNN9xw41C4mYND4YhIX0yumewjVSR1JVTGvcFVvDqFBQMRuXgBDmznLn5MRETiIaBWj4HVeSYNpLS6qTr2WPkuzANBL8yiRhr2sI5LdB6LsZd6BNsplVAzKzIDscye436/Ky2qJno8h7W6DW16J7pUH/tuHwi4T//1AUqOEqRyosH6dZe1SJuMYq8W47pag2NnhteSChnNm1tgW3fYUx+msltqFOcxN3OcnwMBtZtaEwUKs48ovK2sYXuvvglG/J2bQOc2+REPPoTxrxQxBjs7O5IaAWN50MPxNdWpzcH5nTuDenaMHSEBOl0O3eSoC6BdHMqTKNFLPs0e6hIVKbMZoJh3b14VEZHM/rb8/Bc+JSIi1RZ+02L2IRCI8XwxlxKTyBS0ONkMdpREE5gPkQRQGKUnhJdIkimM6wsvg3tRqgPVqT68LX0JhXH+qhA5O6leE7gWk3QZNNQHw4NjW17ANhoP4308jO/tbuJ8ex18/yMfeYbfRybG4Pi2ORdu3bwr+znMVz+RbLvLun0HyDkZO4lxSCJz4KXOxdW3kZ3o28iQPHgJbpWLC2Cp2zbr+iF2K9AvYHUbrxav3fKJZW4/MnRENT0Y6xY7O3ok5Wj2RbUZfKZms/C5dpwMWEM3RLkJmC/JJMbL48E598ldCAcxLuPjM+JlJ0OaHJwyu5Q8qufhVe1/1S/Q+0G7ofAajeJYIpxPqvroOKqgSo+Fobop3g/69jDrYBh9nveQri8iBx4sQpVOh6jc78e+okT7VaoQ3rmzye/hmJ54Aqj/r/zqXxMRkTeuQifm2jXcu6ViSRxmSmw6HtoGO6nIQTp+Apyt6Wn4eqysIaO0sopt7WagPdInh0ezvA47ygYDmk4M2FFBh1p1WDxAyc4B52D40ZHMgHov6K+GHgxHUsv3M+zvnzpw7oX59ynL4C4O7glDREzPQWrO0dzTkX9kD4gkXCRwGAPBiExNYjGg5LZKEZNyZxsiHrk8bpx0FqTHVhsPQU0fJihMZAbxj4SXRCUfb+qFefxDF2W7kYa2Ww1sZyhv7IguYjBzgiTQ+SkbO3Bw02uJotfp3TMSIm2mSbO09DWZboyRFFlT4RaapvhI/BOxZC/Ndi1N93IMyxT9WWZr2fiktiLie5ksiFdB/gMVilHSlrM/ThnZQh7bn5nCoihKotF4CuOTSuCYFhdOymgSZYJqGQ9KDsNQmEmFpPRyq9yvj+WUHi2ts7k0X/EQvH0XD6Yc2zCVkFjI4wGv5YbF5SWZpfVweg//UM4f4z9qnEuVBj5vdXBMIV7PDplZfqZgDdF/LDD20yyB+EL43tUbz4uISInpVRWusizPkKw2OoI5NkdxrGTSx/On0Q4FaDpcBHVaGPtQAOS/fk9bYrHIOHMa/1DP0I5ZH7XaKru2jhTwytrK0Do3SMEobSmrsC1wIoV9a5lJpanzd7AofOcdLLjKLLPForjPHngAZbtggLLCNBNr0z57dgyLqngU4xgN+8QkAVfLZMKym4+yx3rf+Hw6YXCNNB2eiOI+sgTvWz22IVMa2+E/PKEAzlXLk2pXbTseGaOolUU7bW8B49NpOfwtF2QkDaqZUYkEVm0HjLJEFKIg04DEQzUJ0hZrJdWqYJnH8gxLMl4PBco8+lzDMfR7+jxkGzIXOQMuHiLct2XiXlaS8J3beNb1uxjH5WUszC6cQYltfgb3wNU335K9DO6dGO93L4XY9tk+qeZus9MobX3kUZBc52exaLh282UREbm7CbKsPmdFaG3NeSeGPo94fzUJbETLDvaBf9Lg6CJB/0PBIz/+8KsKP5G4L2UFwzC+ZBjGPzYM4wXDMKqGYTiGYfyb9/nuIv/+fv/7d99nP79qGMZrhmHUDcOoGIbxnGEYP3c/zsENN9xwww033EDcr8zB/yAiF0WkLiI7InL6A/zmbRH5/ff4/Pp7fdkwjH8oIn+P2/+/RMQnIn9eRP7QMIy/7TjOb/4Ix30oHNG2JRJOdCmozKR7viciYhGV9Zny7nfLsru7ISIixSZNWAoQkMnm8XmdNtANtviNJ9G6NTWK15EwCVe01+WCVrxeFdzBJZskQU1TftqOZ1mWiA/ooMFMQJhQeSQCVOVne2SJ7U8hZhoCJpBllmZRm5tAfF2mz308z24UaWhh2tAfASor0261lOlKLIkpkCtBevftt2E4tXwCmZXUPNPpNHVZ3UdmZY0p+isPQjjHRzLlPlPYkSD2cWEZRE81qFJpXYorAAAgAElEQVSyVCiMcW/1aFxTaQqVhKVdw3h0KBNcI/r0B3GdAyRw9ro0zaoBvWRzuGbbu8gIZPbxWqEpTo8ord4AWq23UVYwaOTz0ad+TkajKBf14kifz0zgeFVgq0qv2cI29jVzhu1/XVzLYgW/K7Ilskihrr0sfr+bBmGvWkdWIxCiGFcZr/22I5aB6x8N0rwnFON5Ap1VSTw0HcytUgUp/AIlraNxEk+ZOYr3acxFcS2bEter20D3q6uYP7kctuMYjkT5W4Op+ihFeXpsqzS92EaUBlQTTCOvrmN+2EJhsnUgw2+/+P+IiMjcEi2IKTuu6DXJVr5jbJWcoF3woF+WTo3Hxeyd08P5d0SzLswoabtwB8fe5RzUUliEpFLxqBkYbcYNXLvREMa9z/EZODSdsgfiDLCtWAj3vccDZKylQXMotIVjqDZwXmobbZIs6OUx9ZnyV1OoYhlz0mOp+REFu5gVCoeTw9Jdp97kPpWcp9LvJNyyNNNjNqLVwzHUua9QgO2EPF+1CL97C8/AnXXc6+MUxzqxjKzfZ55+SnZoNb66g1ZFH1uY1YJ9fQN/v3kbmYFoDHN4agplyU9+DPfX9C20S169CjOwnV0IdrWquzx/rTfoM53XmBk5v+3cY5zEEgSzugMlInJeOGQqDnidrWFL+OG8vjHMNMt7hvFBUg7m9/+O8QPKDj9K3K/Fwd8R/KO9IiIfFZFvfYDfXHUc59c/yMYNw3hCsDBYFZFHHMcp8fPfEJE3ROQfGobxFcdxNn74Q3fDDTfccMMNN+6N+7I4cBxnuBgwPhy1hv+Sr/+LLgy43w3DMP5PEfn7IvJXReQffBg7Pxp6hmphqh+02x25dQuJD8cHVNLtYaXfY+tQj+SfQQ+rda0DT0+j9hiJkJgTUBtlrd9SDITZAP2eEvyUFGlZpgxIkGl3gAR0IRsgEcowsY0QW5gqzDrsZIFGNzO73BcFjNiyuZ/BOfWRKJCJKaCwWAKox8cMRafUlCw5B2VyLq48DqOphy5fvPeQpErp4o0VIOZEHDXksXGcn7as7REZhyMkzzFz0qAAzU4a6GZkhAfHNs1cpiB91bLiTtUwyh+g1fQ4UFcgAASgxFM1Y4mwVVPFr1oUv4mQ95HeL3Ecy/w9vvfQedTiP/LEU9Ig4lMimZ9iNyUiuyyzEbNjygsBElLimOEBYl7dQGtWoYgMQa4EBJ1ljZVAU3ptjF+btrup2biMj0/zPHA+lRoFtmp6/OSWEOrYrDHHk2oohTnaHdZi8Xe97pkM0N3t2yCapSlgpHLVYjhDKVltow2oHTjr2vZATY3w+ThNwRKcY80msjqWF8e0TwOndWYS5mnZ7CWajydxbdUUKMp2xWa1Lm0K6XRJKLR5XW1yB0wixA6PRTyYa14frnMnimsa4Zw0yU3wBplBsDH2XguZpSZ5FSoyZVl+6fE7NglyJvkO2l6sXJwe01+mB8cfZputdqzq7/RcWjSPapHgqxmXRhPXrFrBfhPxgUSjQPI27/MhT0W5Ftz2PjNodZKFlc9g02wu4MN5jacOtwJ7SYQt5pTAi0zC+hZIhI89elkuXkbb68gU7utr18DniTNb9cAlZNI2NjHHNrfYGr2D85yZw9x8+DFkLM+ewVxfvQ2y8c13QQC/ewdZrWItw3NkWtHAePTFKwMVNeLzQjMo2uL5fimAoxkD+QEZg5/2+Em2Mk4bhvFrhmH8d3x94Pt89+N8/ep7/O3ZI99xww033HDDDTd+jPhJdit8iv8bhmEYz4nIrzqOs3XPZ2ERmRGRuuM46ffYzl2+nvwgOzUM4433+dMH4UkcCl0QerQeZHikwjp+j5KzlpoUaZuQHgfRSIwZAIsQQK2OVcQnEFQxE/w9S9lPFUVSkSSVUzZNSyyysD1EdmrvXGNNMZFCnbILMCFXb4AXsL2NlT11iKRSBlIIktl7/gGwjIOscy4sYsjnlvD6zrtA9zs7u9IkS/yZp58REZHl4xB+USOYFkV+din/O+jiPE8cA2IOhbVtENsJRbz8Hc77xs19HjMQd47jMj0DTsPJ40DtwUBIWi01iiFvgejx1IlFEREZG6c9bBPbFoolqdy0stW39zAt1chKpYq1rbTHFs+AH0jy6Sdh/R0OxYfGStptUiZaL7H9q1ACEtrPYWx300DC42M4n9k5MMHzRdTO0/ur3GeX44Nj7LVVRApZndOntSb7CXn0URgkeWn/XSwpksUcTWeRxahUdnmsuGbhMLZZqOD287MjwOenjTjnx8QkEOjnP/95jCfr4tvbRIrra0MzrxBrytSwEZ+HY25qpw3GOML6dYw8l04b80dbOZvs8rj1LubwaByZqXF2YoRoQKVW6ibrxB6nKw5TSi1yLXoNvPY559SyW+/Vfp+y4axP18LY99gov0+rb6tPi3ObPCAKETk93E9tZigCoaj4LFp4M4vRa+u+FL2SGc+b0s/Ohx45A32+ajedmsDpe+Xi2I6aqREFM0uws70v09MqPERjMWYnO8ygGMxihCk/nqPB2soG+AHaXr24yHbtPO7NcIidOXPgFvh4T69sYs6/9F38fiuzJdtZfHb2POWum7g/7tAu/NwFCCpduIAOh+XjiyIisrGOubpLroLHQqbp7HE8qy6d+IiIiJSu4Nn2wovAl1997nfwuyw4DANm9Aw7MBSmU46BQn+LT+8+25oOMgK8Rkcsl/+sZgw0fhKZg6aI/M8icllEkvyf8hSeEZFvckGgQfabVN5ne/p54r4fqRtuuOGGG278/zD+1DMHjuNkReR/PPLx84Zh/IyIvCgij4nI3xCR/+OH3fQH3P/l9/qcGYWHfpgdeo4wSB17MKzXWhQ3oofRUFCly7KVZaqpSeLQe218V3MkhQAh9oXH4+wIIGt9fx+1M7VjDgT8ErbwnRBrwS3aGe+yPruWxm/39rHartL8RXvt80X8fYHo6/xZJFVOLwNJTkzQDpW96Nt7QETrW5vc7pY88hCG+cwZ/KbZ1NoqUMk+hYIyabyazHLEohgPD82L1LrW5yUHoUOL4zqOMRrFuc7MzPDYUGscH8Vrr2dLr38gBCQiYrCG6qXAyoD96xE/jsGiDXQ+h33kqKlgk+EcYa/87h4yER3qPfTZtXBm8WERETl+DDKyzXpHknHUzE+dxtjdvosxbzZ4HhGL54ttFHI47/Gxw2ZPJ09gm1sU99F66OgYLWtDKmwEtHbmDDIVE+NJKRSA+BrkFqRGgVpVNrtDSes0dRpiSazLgxxj7ZTYu4F6sHbOzMyouQ3mQziCDEKAIjkRiiZNTSwONSTULrvbpkiPoTLAyuPBeflp3jM3Q5GvLn7fbGHOKet8axPZiQcuIYt17DgyJl3OnwFRv0o5txtlqdFGu83OoWabUtM040nQZj1MyXObx6oZkWaFOh8DbCfUwPtYHHM8QX2NqSk1LsI5bm7x942yBEb8HDPMqQo5ASp6lCAr3yGr3rR8/DtOv8fsh/Jj1Lrd79ftYi4PFdL5yOp08DuvVRtaUzfJ78nrPOFcHOP9HqIGi3IRAhyX3R3Mlxs3kcRNjSU5DjjfaoPiUrz/ZhYwJ/2UeC6WyvK//+ZviIjIpPKY2MVSJU9jh8+qiTHMgwfOwYJ5aeEUxwnHmN7FffGdHXQtTJKzcuI4ul5+6YtfEhGRc5egufDtl/5IRERefPlPREQks7s3HEOVGzf5DDYt/efysO285gveF2lrJ8EP6Dj4aYufGvlkB0yt3+Lbp+/5k2YG4vLe8YMyC2644YYbbrjhxg8RP20KiTm+DssKjuM0DMPYFZEZwzCm3oN3cIKvd+7HAYAdrjKZPIaDg+GXDisPar+rbR/Uoz3kGAzbaXXVqYtIvo8mgCosIqQu2dpd1vuU3a6SvdqnHO2zm4E1xDqtkHv9tvhYU9faqMWsQo415n1qLziUja2Q0a72sUs0c3rwQXBE56aJyqewCld+wzpNlAo0nnFMlXr2y+IxfNfyYh+dDtBIPo+69s4u+ta73RqHhypyZMKT+C/FHOVPe0BCEfbJT1/Eyj9MXQM/syQHKpb4L4/llR5X7tox0FPzpgKnUk8Z4Kz3kl2vRlXNlnIJWGNnWketbfv8nhrzPP3kJ0REJBFL8fdtiYxq1QvHkttHjVVVFB9+BGN9bApZmngQiK9B6+IKUbuX2gmPPQJ57ksXoQwYirIuTLTrZ728S6vbq++8Ka+9BjQ1S/vaZz6KNbhDk6+uzVo6kXSpivEaHaNh0wTO59r1ayIicpMmYGPjmMMPXATPYzSFaxOlrkbIj2sW8EXFYtbFY+O12sOcFHJO2rSktonagn58b256jn9H1mM3rfcHle5a+L4aUx1fWsTnDZommfh+t4n9NaqVoaFUi/O+70eGxPHxNYJr5k/iWji83nUHc7jFbankr0Eb9jhr0j5LtQTw3mQ2LJPFPMvsF8SiNPnYBBUQK3hf4j2lkt/ROLotPORkRGi8FAwpR4NZMUN1P5Rrwd78IfcJxxgMUM48FJUuFUAbVOOsMoO4ugpei83n3iy5A2HyQBZmgcZT7GJZ2UCXyt4Oni/NOsbr4iXwQDTTNJJCNuQYM5G376zJnU10EbxJmWyTui4TY3iO1MkHyezi+peyuOeWj2HbC1RbnBlDZm1jA3P0zt03RUQkX8BcXSJX4dQpfG/5OJ9xs0ga/4ff+8eys4kshcluHb3fbd7nYqtiLl416+kc4RwM489YxkDjpyZzwHicr2tHPv8Tvn7mPX7z2SPfccMNN9xwww03foz4U88cGIbxmIi85agjyMHnHxeIKYmIHJVe/ici8pdE5L83DOP37xFBWhSRvyUiHRH55x/aMR8c5KHPDzIGB3QHAn/xDPXJsbpstrCy79MaNEFL2UAQNbYmyQhq+9psYvXaYd+ymigFg1QAJJr1cFU7Nk7jonZLOuzjVza5w5qy18KKv0O0tblCNTKqrz38IOp4Eylq70+hZnrqFFXbqHvw2mtQHSuXidJOYtU+NwOEtTg3JaOjQJMFWs12uuwYKOY4Djiv8fFRnheQUId13UFH+76BHCcngVKUfa62yX36AbSJHC2Ou2XhfbPliE2OQYQ90332jrfZxVBsA5U3eTd4x3AeA2Yx+qzFNtjtUVaLXvbmd6nSOL+IzoKzZ9iVS6a5IYb4ST4pFoA20+ltni/qzyTxD5Fwr6dZKr1NcA0bTSAoHzNNIXazqE5Al2z1bAYs76vXgMTurL4j1TLm1oLWfENApY0GTjxEdc7eAEi/SkXJHBUSz5wCt2BmFpmkt9/GPFCvide/i+3HEkCOsRjm9tQY5tHYyLj4TByv+pbo8Ru8l8pFZFI8tEsPkgeiSHlqEvuuVDGPWk3eN0S9mV3OL3pUTKZwLftNoP0ClSVLxYI02MXj81ONbxydIH1mDgLarUB/Aw8VQU0/uxA4B5WFr10b2g7fIt/BQ88fk/bScWo21G9vSZ018lAc90sqRa4Er2d6B3OzRlVPD8kD/pDFbQV4DsyUkeOk3go9cgv0CeVj1k8VV/1+3/CxZjDDMzkBtH6NPha3aG6Wos+Fj+My4DPLz06TpTk8B+IR5agA5V99AxoDcXJYlpdxjjMzmIeXLz8ms3M4/7evfVtERF54Ea9raxsiIpJMYN4HvdhmYR/3YDaD50vlFObNed57Tz2JZ5k/oPoIOIfr15FJePcGEs3HlsEPWlpCBuLi5cckS27WQLuXtBNE7Z2/h972ZzMz8IPiviwODMP4RRH5Rb5V950rhmH8C/533nGc/4b//b+KyDm2Le7wswfkQKfg7zuO89K923cc5yXDMP6RiPxdEXnHMIz/KJBP/nMiMiIif9tVR3TDDTfccMON+xP3K3NwSUR+9chnS/yfiMimiOji4F+LyBdE5BFBScArIvsi8n+LyG86jvPCe+3AcZy/ZxjGOyLyX4nI3xSs594Ukd9wHOcr9+k83jPez3TLtt/re+qOSLU9cg4iUSCYyalFERE5Ria7YWG1vl/ESthUrW/28xcKWClrhkBrhgFmEGbJ0vfSZthj+aTXo3MfYUSfTmxbO0BNq2voKhgbRR3zxAJRuRcrfukBEcxNYZ3XaWrG4FUREblK9TKtax5bAmIeHWWXhC8pzSq1AJj5UP5DkuMQj0xw0Fi3Yy2131c7VCAedZLssSG+XMF4aObANFUNko54Lerjt/G9gVgyOQuEEo5izEx6KNjMvqj1cpj130gUyC6XUy0CIMBKBSi/VmtyH0SO5Bpcvgxr2jAd71SDwB4Mht0nKhZYIqrSObVF5bdqDmh9JIqx97NPfXERqCxB9NVhNkPPu0ylyXIZ6+2V1VdERGR3D94Lfbsh3gBQY2wE4+ChB4dD18UEHQJDIVwjwyBLn+z9DjtF5mZRex6fwPzJF/Z4nlTl65OLQm+OjXVsfzQxLjMTuBaLc3g0+P04pj4zZiwtDwem7sF4JHnM2imTy9GtcXCYm7O/AyS5vYpxGLuIuW1R/77d1GvYkD4zO1F2V6jSZ4c777D7oFwAklTLcodZML/FTiIvjjHArAgvu1R5Mo4f4zYSwjHHR4jAg1HZ28e9uJPm8Y7gvlC7504bx1IpdbhtZgT48Bk4GLdwmJk2Cvxrd9RBVpM9+pT/DJuYoz6fV3ycB11m1FS18pHL0AqoVvBs8qiHDMehUWIWi5mDKDMGnlGqv1I3odHG/bNOXYTv7GFuNmo4lsVjxyUZQzbhY0+DrzI7BST/9a//JxERWVsHh6BCW/SgH1oKtQbGrVqDxkqtDrfbxwTW7VcefUJEROamUH2en0Fm4fmXvyMiIt9+Ht0KLfrU31q/IR0+/zy2PtEPP+gHR97rEH+Ihs0/MNRlEm/kvtg23y/55F8XkV//gN/9bRH57R9xP/9SRP7lj/JbN9xwww033HDjg8VPW7fCT0U4XJUTjAxXZc4RzoHxPVrajgy4jPR4gLYWF9iXewkrWc0cqM7TYADEXCLyq5ZZpySL2+IqvsT+8AT7f6fIoFbNdfUpT42NSpU15C0qHm5uY5VdZw304kUggqUFoJQW95newPfU+/zaVdQcC0QOt+6gTqfOcCmy1JXVH41Rz7/RH9b1TdZIW6yt+33UoVfGP5USPQbZ1ZZ2imDwFRln6OuezyP7EWRnAeXvpU7nuBJRnsVOjNMXLkk8gZry9etQQ5scJc+BCKBJVn50DJ9ns+ihv3kT56s94ao0qboJbfIjHqBy5JXHP8JjxzkoStvZ2ZaJyTGeD75y5w44AUNlS+IOD5Ffd0B2NjXkg9SnP56AgpyiN1WQXF3Hsb722te5HSCseBLjNBBjmOkiXUEspjG0r9vHzoCFOXRM+Jhh8ZKTMiAfQvveL1wACvvWt5A5cNhh4PESzcZwLpp5arbTUqpgXkyzn32MmYRWA58Xy4TdJGF0GpibDtUG5xaARk+d1P52nEyTGSOHtfrsHuZBcZJo1sD8qDBD12y2ZGATTRNVt9iPX6OjY62EffboOtiqs+4dxPdj7BAR1vsNH/UCmjxvA9sx+f0UeScxal6EwjGxue9imcqqHWSQggFwiELkJNWqmDgjSdUawK6rdZxnk/MhFgOK99Fp1eFcVP6MCL0aeM/adl/6fVy3Vhu/UV+L1Aj2FSbPR8Fpicda2Mcc83qQhXDyvC+OZHPGJ3HN1J1w7S745tpZMr+wKiePg4u+sIj5/fGnoUfwxBVk477xzX8nIiIvvAAXziyfB+UKMgbtNjIw2zvMbl59XkRE3nwVKqXnTmM7x09j3nzuZ1EFfzCP+/DZbyH5fPXOQPrqHUKVyoDFeXLQtsYXfu//m5SDn7puBTfccMMNN9xw4yccbubg3nBEZGAM6/raOyw2UaoygR2i9SNFpn7bktQokNCFh66IiMipk0BXyTg+9xhYZZepzlbY3xARkVJFNQOAjFMjQG/nz4Bt62G/MhexEgsDESWZQVhaQE3asD2SYZ9xlhkDDx0hzy8BvS4dA3tc+7RbdSAAj5f1a7LyX78GpKTqa7ZJn4Mo3vcdrPwbTaAQU5CJaDYdCUYwhtu7qDPubBMpE/GEWEsP++noaAIhhVTvgfrz5SK2vU9HNx37kQQV4OLqsIhjTaaw3ZEpjHvIF5Q330R/fymPbQjdKqN0qQyzn70XRFajWGGdVxFgj0qJVfR9Nzq4RpEYfn/xAThOBjy4Bs0+ziVXBLp548Z18VHmwPAAGZfq6lOA4zWYORmqCoZwfetlHOsu67UpqtTFed1lgAkxN4sa/tY2jqHKczCZQRExxGKaRfeh89ohp0A4tskkdTJ6yKSoj4HJ+r/62R8/AZ2Et69jXAoVXONQGxklv48Iy4fx83ja0uoB6aazQMipFPgqVoBuml6Mj8l7z09fgjBRt4dqlBNRHFuEHg1dZnP63QrPEfOmxLq43ce1V65GKBQeZn4c1vErBYx1nR0hzSrmYJuKiA1qiXTIKXFsXIvugF0NHvx+4OB9RNUKOxhPdcEc9LI8t66E+R2jjbF1TGStMkVkjCxeqyq1CDpNTKTJBLgUkQDmQZuZA5tZAIPdHuEolUaZgVNUrHXzRsOWAV1EbX7mkK8woBaF3ScvxEMtCt4/NWZrCoUNERFZzaCO3+riHOankQUIRPEszGaQMSjnb3M8cY0qZUf2d14WEZG9eXzX6oMr8KlPfVJERM7+VRjufvbJXxYRkTevgrfwu7/3H0VE5NZtdM74gphrG7t4n8lC3+C1q3j+nj4BPYPHH8Z2rzwGe5+/8xf/JxER+cwnrsk3vwYewu//wb/HNnYxv/1M11hKiGFbCu8esbXjSH60+H6Gxj8JnwY3c+CGG2644YYbbhwKN3NwJBz7Hj8EwvSBqhxyxWhwBam1OuUNHFs6K088gRXpMjMGloHvat+6Ov/t7oPJvZfGqrRcJeObiOn8NOq6DzxwQUREdrZRU2vWgfYXj4HVO0+VMsPBpdxY25ZcDqg0xD52ZXiPpYBCVC1N2fQeMrmnZ5BR6BFJZNhDXCPr2usFYhqIKr6xxkq9gHajwDG0pE0ktLmB89zP4fg97C5QZByL4rc+C6gsHiFjvEJFuy6ObXwCCMkbxN+jSXrIM4uREKBVRdSOD9/75te+IRV6RSToKrdBl8BL53CNEuzfVgJDf8BaMZfOzSHDHZ93O9j31DQyJakUxrfNnntPEChOsyb5Yka+9RyyDd3e4W0H2I0Rpu5+mAqQiiKSSYxTn8jx1i10iizSCTMxRi+JCfz+oQfB8r56lZ4CJs7ddPpDhz6LHAJL3fbY+VIus7+bEiTxGFC56aECpI+kBWaxgtQomGE3SKGKzIFqWvio5higi2O33ZKBegSQ2a+cE5P1eVW67LZUnRLnEaf7aLtDbwQiZYv78FLvX7sSgn68qtJib0BuC3kWkVhcQhFchEad6oolZgrY7VMp4XqWclRSZHdLMIjzL7eYGQiqrgg+D4c5PvRL6FKD4QbdT4s5drH0fRKgeinB+lCfw2SGKV9gBiGE+b2Txtw12J00pfe/D+Pg0M2wy3vYO8C5DPjaJxO/S/JLv2eIzQyS+JhB6CvZipmmIPal/IUO57+PugjjE9TgcMCv2tzlfeDRDBXmm9+vqo5h7hvnWq2WpVKCWe7GOjtctsAdWF0DT+jRR54UEZFTJ5FRPXvmb4iIyPElPB9/+5//poiIvH0D+ggtclX04b2xjayFepK89Tb0Dr7z8nMiIvLEk1AcffijT8gXvvjzIiLy7rvIPuzv4pgMzq0DFK8ZF8SfcRPG7wk3c+CGG2644YYbbhwKN3PwHqEsc1HOAdF/h57q/S5eIwnUS596CnWrx698bNgz3WpgVVykImAuDzS/z1proYhMQWYfXINEEqvpz3wSCtGL0+AavP4aanExIqdnPor69iy15ldXgMg31rDdWrUpQm5AIES1QC/7dU1l2eJF1dZM1j2Vza4udLEoa5DUbBgIttthFkS7E2yKOVQqyBx4PZY066irVolGY9QYGKEToPoQtNtUmSQ6tQJkgFNr37FwDSIJ7CuZ4t+9QHm2YJzjUdSsW9ze66+hJumYHokmUJ9eWQWz+cwpoI8xekb0iS4sZoRabfpAFID226xza23Wzzrw8SXUVO2BZlBY584D7W1t3eJ2balWUQvvsF47kiCDm4XKUBDXNxyhimOX7HRme/T93h7mzRtXUd+dO4b+8IUlvJ4+q74GOJeXX38W++11xUdNDdXnP5gHuL6K+C1md86dxTZzec7ZAnrIp6agJOj3kbNBx9Cgqley995jUleCPJue7ZPJSdwzy0uY30GqEzbpAKgdQO0urkGzQ/dRMtt9wUl+DhSf3gIiVKXRJH0M4vPIpKRGVXmTzqMmztHr90uHKpzbGWR4tvcxp0rMWuWplNciV0DZ9l4/fU7oQeALMhsWxPxQs0ubKoW671wWvIftTdwnE+Nzw4zBwGb3ADkWAWbWPA3M/1YL558cwTzfzWAedOnXMDGJ54FF91IlSFVryuHA9xpVdt7QTyLgC4qh/i3kFoU4d7zMKA16OMhMGve0cowSPJbxMTzzFk/MHDq2XgvnUqsy08jnqEXuQoOZtkAgIOLHWHa7uHdur2OMVunX8OJLUMc/cwqdQU89+XG+0mPkwX8qIiLPfgPz/Z/8U5j6bm+D3+APUEmTega7+3d4rMgKvPLO10REZOYPz0qK55Nm5s9racYAE0C5Gao9Y9sffrvC9+MjfFjhZg7ccMMNN9xww41D4WYOjobjDN0WTbppdZV04MHKd2oSiOqTn/6yiIg8+TTQvmOasrKClWhmC6vO/SxWwqUyUGi1xhow+7ivXEHW4fJl6CCEWJ+t5oFalhaB0p54Aj30Wvf6o69ihZzNAI2YBi5lq9GWALkGhocqauoiZqhuPz7vkBdQoeZ+p4PV+tQ0tpWk3ruiu1oDx94ikuhT/bBaYX27D7Rjd5rSbgLpjCbx297iWXEAACAASURBVNFx/M3LWnCZPu19VTpkT32DSnnGAMhvQM39egfobdSPLMAI3do6Haq29bCfdao/NunuZ4opO3tAvh7qyccS2HaQroF1stLVtVJ9KrQ7paXiBA7Q1xy9BRbmT/Jz9smzn3915Qa2yy4Qn0/ESxW5CF0kLVOZzyGOEzIJk9RD6Hcb3Dbnno3fhSI4qNsr4Kp89w3UWLfSmHdXHkVf9xl2uRgW6uVvvPWdYcbA52V9mg3atvrVEyooL0L1+icmwd8Qeg4YxmFfC1WIDLP7YzAg6tcaPdHssYXTcmIZyqDhAL6bJT+GSSzx0Z3Tw86ICNn2NY4lwbdEo7hGiuJ29nCfDajrsDQf5znQaZMZmgA7DcT0SWYX29zYxmuanINsge7v2udOxcxhao0D1bY1Y4Rj7VJzxKaS5B71MsZVa4H6AYWiZpEM8Wj7kYmxnJ2jeiIzaKqpwMSCdNjF46Ga6X4eHUledi+Nh9jdQGdNZdj32Jmxv88OJPKNxkdCIFqJSJfHkExynvgw9tv7yBhkc1QnZBYzrl4lTKlYXnw+kkR2p0hH0DsryDhtrOO+aPM54/Vybpsd6XEuaVJLiPDb7C65eQv1/7sryAS8+ho8Q1588ZsiIvL5L0C34AtfQjfD3CL4U//g1/9b/O4O/B1CVJLUa6UdZzk6tO7spIf6HxYfAOqZwaTO0D/H0BvmqFTuhxCqePl+Yb+fI+SPs8/7vkU33HDDDTfccOPPdLiZg6NhGEP/bfVFMInAo0kg6c9+9pdEROTBy0Bpu7tAWpu7a5LZB6Kr7CNzoC56qk8eov74k1dQM/v0p74gIiLtJlapb70Jdu6pU0BGn/3Mp7HtTdTxvvpVrJS/+zpWwupmeOI4UGwsGZVelz3NZAMrG10XlyZZyI269oKzN1w94FmDtLz4QZJqbaqDX6d9YbECRNHtUGuACnHdTkeCQXw3NQ6EH6EuQZUs4nAYKMMWHEObbPw2697mgKpsXMXvpcHN8AWBMCZngIwbROtbW8i0jI6Ave+h7sHzzz8nfmYrOsyYtIi+/KyRN1vY5sYGOAILi7jOSfoYbGxsiIhI0I/P5+gdH40A5dWqOGbtKKkzwxLgeDlOXzzMOmn2ZkDeRiiEY0iSFxEOUb6QpWODiptRchE65D80qDi5l0VG6u13wPauVXDtPvWxz4mIyPkL50VEpNevycpdnIdef80YqEKil2Pt0NWzWcd5JEex73OTmGOlAhE2fQxUSdTLDgR7QI5OC8e+PA9G/dnTDw0zA+US+/kzQGxh1rln6LroszTLRUU/HlO+hGOKqovhOBBiqYJzq9UwPsUSHTfL5Asof4jovVJryvWbQKEZuk521QiTXRkRdhvEo7jHulTKVI6Kwexfi74fNj+3mUkqlJBBafcwF48tgg/iIZrPZPPDbE2M7oqjY8wc9dlt0cfxj7ML5/odZEjiE8iABMKYP3usjycWwafpkT/QpD9El/X/SpldG+R2tELd4QXsE7WbdDGt1VTHgBkw3keq1rm9tyEiIiX6HcTJQTKZSdiiPsDKOp5V9SqeF5YPx2SSwzTodWQI4fuc/8NsxGF03rcxbza2sa2dNDwXvvY8PBj+3K/8ZRER+fmfg5fCqVOLIiJy8xa0TrT7yUPew9ALhxmocHDYmiYD/gPg6HeOtCNo1vNPA2J/GJmBHxRu5sANN9xwww033DgUbubgPYN6Bux7t4JYbT5AFDY/BwSwtYbV6/Yu6n6tQU4aVSC5cgl17nwO6OHYIlDXzzLrcGoZ/ei5HaCWlTtAUHtpIOBqGajmze+Cdb+9hX1EY0CrC/RssOitXqkD/duGI6NxIP02a+XqL2/bWksD2tB+fS2ZxeOaIaC+fwfHzp8Na8sJorYQUUuXK2zDodpfJCCRCB0OlX1P9b0Q67SqmeBhZ0Wf2/BbRGkNqhOyNjqSxLFFwnGOj6rWkX3Omew4ZPXTk2BhZnZYQ18v43qpf4G6rSkRuFzGGDqbeL10CcxoEuOlXmddePb4ofF7mQ5vdWrvT87iWFVPoNMeyGDAOcXMgUldCq/OMaK1RALnp6xz9Y4P0VGxXieSJOdiehqclI0dzJ8Cu2PeuYY+8WYXyHpg9yUaU50L9QDA2PuY4QipxsIRlKI6/O+8Aif1ZBzbFJ5DhbX6fodufCOLIiIyN4OMwfFjuG8sj3+IQguslStdX9UbHXYKeYhblCGuiL9EH4xEFRdlbBSZhhPH2YvfxnxosEafTuOaxJPYji+AcS6WK7Kzg2xUo4HPwuTHhDkjvCbvD6L3fg/7HKgjIkFmt6+cFBxDgJ0o3ibOSR1FI9SNCIZxDulMaegummCLQzSOen2liO9k2I0RXMI2l2dxva+v4PPRGSpIRvH7Cl05J8bQvbBbBdIuM5Ni8t5X34NSrSYW3SUN6rXkqUZqkBfjC2DsVc9kl90dZfo67BfwrFvbwLOsrd4UNVzregOv2mEk1FmxHdW4EBGHWTZbU2ZUr6TmhjDLMNQH4dcGAxxTPr8hIiK/9Vv/m4iIfP1rUE6saFaUz67hw4xzV31QNJNieOoivFct8riUmzP0p9CuL/nTR/N/muFmDtxwww033HDDjUPhZg6OhmMPEfZA105Etdrv2mFPdpfwJMiaba1ekjKVAG3CzYcuIkPw5S/9FRE5qFerPsF3X4dS1/o6VuPpDD7P5FEjU5S/xJ76OWYtkiNA76op32ItutlpSIJMf4tuaVojVfe0wYCdATz+HrkJWmvs9rDaVkU4L2m60RjQqo+qbl5yDPwD1UOgSp3fK/8ve28aLMl5XQeezKy96lW9tV/ve2PrBtBYSJDgApAEyZElcREpyTIpSnZYq+0ZjUN2zEz4hyPmx8RETEzMZskje0zSYVESrZFJ2hI3kQBIkASx70Dvr9++1qt6tS+ZOT/Oufm6qjcQaIgcKm8EUP2qsjK//HKpPPeee046w896QiimIplNCxmLGe2FOW1banNat8cSPDpyittWVxOa0Zk7OS5Vwy7RzoXzZEaPqhPBS+Rw/gIRTsEY4PqyEcXT8rP3A3NRJKo9cogObg+8l6qXG+tEPqYDsbhItbq+mNUjRelGqJ879M0PI7vNGdC5Y1mK3dMcZ1GovlgSs12eCAnxXyyzYN0Z+TyP8fgokWYhz1q1of9mh2jtmed4PsEJsWen1bxNNU8sdXFGfPMnUJ3fVBlTYqFfOMdzdEOqlm6f/I6k9AyOKEOwd99Bjk0cnaRq7Bvrq6hL78HOnYJ0QYwh7kitL+GZsij0uboMEhzbmngPY6NcbmqSNfmWzunyOve70SJyPqIOjXEde7/fR19ZqUB16JQ5QYbmwkgk3NA8mDReQgYhVtdviMPSkVZHb5T7lBHidpWpMjVMc+LsdPvoSb8il2NHhOOUNA8cQ0YdIr06z5sjN9FDw47RUoX7lxdnIZVQdqPPrN+unRyL6RtIkgMFdTXA7UWeGa7UK1vKKPWl02COqs225qNN3kfoclt7DvJi3Vzmfp55VVlT+cS4jtQs5bURJaZ0rH3fgwNrU7A6/pVRuaFZy4YCnEslv9CRD8Zp8Uk8XT+esgCO3avUBTQsH+CFie0uHv082jKRToxjvARrWzD9mDcnRnCtjoSYcxBHHHHEEUcccfzYI84cDESIMAwiRUR7Vuv2WUPbrBCdplQf7Wr6Zs+z/vf8a9/G3gP87Dd++7cBAA+8hxoIxRHWaZ98gtr4Tz7+XQDAE0+yT31lneuoS1mwIOR7551k5Z84IR0EafBfkEtfq81H6BH17ufyGWxV+aSeFDM8IyW7Xo9PtqY7b33X1s9rGYZOjwjB+tlNYTGrx3NHkLur+rBrmuN6cG42O9gSO1pgLGKLJ/VGQg3N6ajmbl7yyigkhKgyRDjWzZGSXsDRw0Stqxvs4njlVbKWp6eJtPIp1mhfPfUi2g3T5ye6ymaMld/V/nNMeXkFrCwTfTz+OLM6x2+9FwAwOc56ryHuI0eYBbrrHmZ1OlL1e+01Iqdz8q0PHRf79h7RPHBe5i4S2dpxzqTMMZFz3JZToKdzzNPnYTjItjb+ywceJPJcXZsBALQ6rD0H4nok3ETUjRCoA6KnHvIgYTVU8SGUpbCafHGM/JY9e1jf36oIcWssR4+SIZ8tEoF6Ds/Fljwpyi0p6zXKSKoLISVhg46yFoUCEXNWHgGBlC7LGzx2XpbLT01xDOurzEBsiXuQ86RF4PD4l6uqa/tEudm8HBGVFQz9EKNF6XKIU5HRuVhXzblVlWKk+TUI+dsYu4KvDXUE9LWeutQMk2lpK+h7VWmcbNX4ea/Xha9jUSoRfWfUEdOQt8LeHQe5TdXMQ2mL3HEzz72EvAg2N8k52SMnxJz0EcZLzCiFfXU1LDLT4Oo4BGEX7b6yClL4NEVU6yBqds3HAgCAqWkeq5Yyqm3dL44e5Vh3T3ObTz1FLs6FGaJ4REqClr3hfDvIRNkLOE0ta61VhvCl9xBatkGZBvk2uMo0pDVPdo0aMWRbYdD4RiIS6Xo0f5nQT0bntemXhIHp3kQpj8HdUSbBjX5O3xjmdi7LY2yHZRX+JjMI8cPBQDhwHTf60UjrgNiFVV7hhfXkUxQgWlziRX7+ItPLBw7txm/+1u8AAN77Nj4UtCTec/4iL5BXzvCCefyZrwAAZueZBvdDXhTZAm8kt95DO9zjJ+/j+ylekPNzTNUtioC2tcUUeF83wUSqj2KKqcfSKC/SaUktHzhIAZqM2inzJaZiOz2O0XV1A+2b4Y5aG3Uj99K8CFJKCXtd+7Hh7JmDdcF10NeTQqgbbVetey0JoHQd3gwyKbMs5g9Kt62LwDeDHo5papJj2rWHPwJGDltd4cPBWFESvtZmJaOV8tYKEjKIyefHNd4RjZTbTuuml9EPkNlAbzX4APbsC7z5HTtKoya7aTi6WUw2ub7RCa5vv+Z7Ra1e1cYyOj3u32ieP+YH9iglL/JnKmtlA81phw9FrlKxrQ0S67Ka15RuQK0Gz9XJKcoS52RctbrMMdXUjtjrNeE6ajXsc+6adR6LrFpVSypNtCd5XlfrfMC4cE5lqVBtqWn+KJr0sz0cWka43eO5WZbhlZ0fuUwRSaX1Wy0+cPu+yQXrgVttw22VeDoirNY2VRoak0zyJMfSlp1wWSZIRbWG7tzDcsuqVJNmF/mAMjtvct5JjE3IR7vPeTB58KYIhA0JURVzPPcKRc5fRi2wvh7Mg6TmQ/f2XFoPSaqESEsJmw21SLscu5sJMCbRpqJafmt9zY+O75YR8dTSV9d5361xvwser2FfJkduyLFOTfBBNp/jfWPPPo65UuMD7EWJtHX8RiQp7LU1H5p7R2ZoZrOekfBSJiO7eF1PZQGaVkV26lMHAQDvekCApcgxnjlD++ROm+eyMAoSaEWmRdYGGupuEvhmiKywSbbfUVdtpFqDp5MtGTlZ2Y/qdosi3zB3PSshM3w/iAiToZ3QWtQb0jCOzvsblIAPX4d109VKD7EIUhxxxBFHHHHE8ZZHnDm4QiTMqrlnxkt8QlxbJEqfmSHqD5SWf+iDzBL87n/9ezh+C9vf1mb5dPzod2jo8ch3JHcswuLSmsoCPZUAlFY/cJCkrttP3g8AGJcd8PmzMwCAWUPESiOuWxq5IUvgbhUumI2AkP8tt98DACiqXcqRWUtaZj8Tk0zVppMccz8w2dCMXs2YR5KjVm4wEqEgQEa2ua4boipJ5VD7NTbJtGldwjizi9yPpghEoyXCE19IsFFraWxc56EjHGNC6dAnnqQhldlT793Hss2qDK7MorXn95BX+2NLctHibsJ1LSUpq11DiIWixsYx9JRZmZnlvM7PCRlvSB5XdtJHjhwEABSzHGtPEq3ZbALVKgmCjQq3kXTUiriXSD8VCTJxmwmlSzdqRL7zFyjQtGMH5zGtuV6Q8FIo0af9IgPu20My5aaMr2q1DfgyDKtuyoJbqevMlJHgeBwnihxTLsnPrTUtqfPBkQx1R2S6tsSByhI2qtZ4nXgSWyoWt8dsCK4h06JsztrFeGxC5a4ts9uVrG5d5MCNMufx4IET2gYzRk2l27PKwEzpmPjg/L3yMjN3M+coMnb06C7snlYqX5LW5ZahUMsMSSxKg3FFanTUPhxo+aTkxUdNKlwZu55IpX2oHJFjeebW25hZmphYR6fH6xaORMJqEitSlmF1g/vfUWakZ1kYMQsTkhMP1co8e5EofnSU52DGshiSKp4SAXZlXS2dyzVLhMGRQdTSAq8dyO57124JdBVEcBZL1JPY1V61rLaKar9c4j4VSjyP3v8hChKN6x7w9OMspbYbFY1tO4NkmuVBhFuH0LpeA8P6IgPa+0YC9q/SZuiIoBj1RA5FlC24fNPR78AV1hp9+6cp4sxBHHHEEUccccQxEHHm4ArhR615al2SeUtNLUs7drBe/KnP/DoA4DO/9g8AAKPj4/jed0g0fO4xEg+//+QjAICnnuX7Ju5hqj2eqxqhiEfHb6OscmmEyHJlVaYwS3yaX16l1eimLJ+bQpbwJSgSJuBkhMbHiUYmpw0BGYmLaDKf4TYy6TENicggZa1NanlLa6yBWrm6XT5dhyIq2klkQkdhJ4jMjPqyOTZS1ohQ/P7dRFE1Ici00FhfNUCnSGRw50mR3cQl+O53HwEAvPYa65d5cTS6fe1D0oh9nNdup4V0WohPT/Ymixt5GqlelxJxs9sS8VL7VSwJ1ctMqt7g/HWU9clKkcUTGa4lIR5PKCiRGkFKokZJoem+Wl1XVom2rJY+oVr61iYRYF2GXWYf3ZdwzN6DFGLas58Zk68/TIEiv8fz68hhchsmJLs7MTaBtkRsmk1rsRShbMTXfssQqMZtB5qBjAyVUmnOU03mWAuLC5oHodvIoErWxZPjmj8e8yAI0JRQVHWL520mRzRpZEkTO3KM1xHxGmRapGzN5LhMsiZJPE2nzGCJY+mJLZZWa2dotuuBiSA1kdFxs5Y1g0rjRSJ/VwZjXZkWtZqD539tS/VtkSFH8kLxuqatDTmX3aW/+XrowEkAwLvv34kLF5/QXDKT2N7Sfvc4Z7k0+UPpNMeaSrOOX2urzVACXz1Jnc/P8L7QUFbjzpO3AwAOH+N6Jqd5XkRGQwvzSLqco60m53Z+kfeYEET2/dAE1jg/O3dzHQkRnHttkSpHxVVyme3cVPYwn+L7734PW4J36Bz//qO0YV5dXEJCWSo4dg4ZCh8kywaDrvNRWJ7A865C6nudoN55E3j5WoTCtzou5SI4cF4Xf+G663zTa4gjjjjiiCOOOH6qIs4cXCOchDHu1fKl+ucHPvAgAOAf/y7bFZdkafpnX/wC/vqrfBo+/zyfvus91u3MMMhqZW2JmExPs173tntp3Tw5yVaklWU+tZ87/zIAYF5dDStLrJ22G3zKz3iDtbmEk8a0LIXvvY/tjyWJF1lrmSPjk4Zq6Zk00bdJ/AbqJHBVk+6oPucIarti85rQUbdrT/X6XuChL1RRr6s+6XG8ZsBkYj35wmCXwqy6MXbsJnobVz38m3/9NQDAo9+h8ZQhzbv2nxyY125fZlMSeRkpjCMj1JWRkFJG7QllmfjkcupaUOdEaNLGqtM6EnvZapC93+wSMY+UiFrHxrnelObRtFJSEnwaKU5hbJTHIJ0gkq+UdQxasiJeJZJrChGurPD9fovngQOhV2WI5pfYLjkxRdR6zz1seV2c5zyX14liSyXOQ+B7USuetREa+zoQJHSE1noys6qJD1LS/iWFTq3tLDfCY5ZS7XlsksulTWxLzPFOjxmLfr+PppjqZqWckziU1YDDYLDLZbvF1YS7OKZKlft5++1sMy0ItS8uEDm3lJlxE9a9cFhj4vxVNhdwYZbXrZlfScsMxaJq6+raWaqTQ7EqvoPdNs2wqyjRI7NT90VvTyaUFUkQSYfg3xW1gh4+nMfhw5RVr27xOLuhLKtllpYUx6QtvszFBWZcui7n1PckSJWyY8NjfPbcDJfzmVkYGeWY77ufXKa77yZn4/RrM2hKqrznE+nXmrwGO9117Q8zB321bm5WeAwPHGH2Kp1jJtXvch7Hla1KJnltLy1xPWZkdtdJ3utSDq+f7z36HSytkAviqDvDcYbq+KEJKEX9g/q/2m/17ra08RsL13kT6P/NfPdNhvMW0B3izEEcccQRRxxxxDEQceZgIEKECCJBDGtw9fXEnExwuhYWqGvwr/6v/x0A8PjjrBu++NLL6JiZjerZCUmqRpaxJrohpvweGefs3cMavNkonz7Hmvq58xT3qdVmNBYxzYUU+hKy8YQ4jt50HAdvIZrOpogqNzeIHqy/vZfZ0tgkYTtCxJxImOUs0YhJu/pDQiImN1zIJwe+Z4iykC0hkKxpSyzy3gbRh5simvBS6phQZ4gx3p9/kVyN/XXrPiBKf+Y5Ggk1VPfPydo4LUlkkwSenSO677Y5pn37DsCTuI1Z6q5vkDNgAjQJyfsaN2Gb0Mw5bkoudqtOdO94RK+5AlFdIupzt6wF53On7Icnp6aQEKJrRxovXPf5WWYAMjnVWrUfVfWjO+IY9NRzPzFNtLW2STR2/lnO19vvIyLcu/sgAGBxjt+3roBiYQyBuDTW+54XYk6mdRw1HykZcIXKELWE9jPqwc/kOE8Tk8xK1FXfdoXyzVTKF3qvyLq40axHgltF1aczQshWS7Zrz++bWI06BdQxYIJFc7MzAIC+TJFOnGBHjnWWzM9zzKG4C2nV6neriwOBg/MXmI0rVzjOQkHMd53H/cAY9Dy+likwqd+uzqe+ulK64qB0IeluXQMdzZunc32tzEzEtx+9iFJRvAVxZXomZa0ieqXK/VlaliFbWzbQEOdinzQ7NNacMnEjJc7r1//6y/y+uqRuvoX7f9/bOV/l1Q6+/J+YjVtc5n3NhzgzCe53RbyXjrIXpVHOrWm4tJUdPXbkbgDAqEygcpPie0jj48wZrr8sW+RDB5j1Ce4r4dvf4To2ZG1vssdOJFHMF+PxBP1BLoJxBcLgkm6DNxB+6COhFJJxzvxwUCjpjcZVGiSuGZEW1HW+a9m/ba7Gm484cxBHHHHEEUcccQxEnDm4QviRKYd6icWEdmRM8+Tj7LH/4RNEs72OPa06EbMfMhzy3MGnT0OrST2ddvX0vTBPLkF5g0/tczNENbVN1lD7vup+sjANlM0YyTI7cPQw1fuOHTkOL3MQALCyzPqkscirFaLNQpYI59AhdgJAyLqnToogIJJyPNkmq/e+I9Z2Qf3OCcnueqrzO66h3AClApF/Sj3kgS9TJz0JNwwh6ZH4/NwMp03ztbjE/X7qWVpWT4xLH0DqjL7m1zoNzLipIYOaeo3ZkomJiUgOuCXTo07blB6J7Gq1/MC6huVuq1IZbDYlL6t6+MgIUduU6sLj4iDslNrd6OiY9j2BzbIspmW5fHH2HABgfYOZjmOyHu6qh7xa5/ihzEFDfezjU/y+WXY/++IrAIAvf+VLAIAPPvRzAID9B1nn3qrwfOp0u8ilzQ7X7KPFvhfjvetz3T1lmDradqCuhq5JMeu2kVb2Zr3C71erPN8McVSqmjfxBDLZLEakzpnMSPlOXQTGW0lHl4+0J7LMcjSbNjYe97pq9GdOk5PzzneIe6DulZoQaKDlEw7P2dERaVvs9dBSJmBm9iyA7U6IbFpdGuKtZEd47rVkSGbgLJ0xgy3LNCgLkJEUtDJL1mFgmcgA0ttobWFRltJmhNRWps14MqGnazHJ4+hIIbHX5ZxvbMq6eie3ZWZQBnIPHSAvYHaG2YpvffMxAMAvfJzn6HvefT82Vrjul177lsbAv3V44ekabTU55yb/YlbUW9JYaal7IzguDso4z+kJKbE2d3DiVpbJ9aisc9/vuvNeTO3knP/VNz4LADh3lsckLalzT5lXsxP3jJ1viorhYIbhahHpHAyFZQkcuNE6bFnH/5vB0M4lnIXwBmYA3mjEmYM44ogjjjjiiGMg4szBNSIc+ocxWfvq67YnS+MiJBMJ+EIqgavMgT6DGN32hGpFpPmL7GqobPDJ3up6LSFFVygD2mbC5XpGd1Bl7fitVGTcv5+1xGazj806n/DXVK+vbLCu7Qm5HBLq3LGDaCUhT4EN2Qj7fT7RW+3QkSXvcK+x6ZKbFvnqGpFXKpXB6CTH53athsz9LW+JPa39WFjlfs8uM1OQk2XxujwTzMo4pbp4T+g1JcH3vrI5jtZXGBFqEzLN5dORJbXnEQFbl0WgLMxWzfwHlDlIc5vrQpJhn+ucKHKOxw4QCd52K7M1hw/RsyKZUC+6WP0NKSxWyz20WhxDTcemLDvbwgjHvU8Kj2cusrZcrUv/QR0zG5q3U7JN3n+Q7Pt772VHyp9/8T8CAB55hIqcd9/zTgDA5BiZ5PUtH32hSoFTODK56fVZvwbMopfnwWbNtAhkPayOEkfmUKaIOTnOLEVVtfvzF8mX6SujlNbyuUQKrvrQU9K1QGh8EOk/qMZsOgdjUtnrCTGbSmdLGaYLF3j9nDnHDEIK8hjQSboub4WJiSntI8dSzO3AsSMnNE5xKxrMLkzL/jmr8z90eI42m2b6o2yENBhGpKg5ZqqEWc55OsNMUkJ9/o58Ixxl6NLpIroNnu/1Kg9KrV3XOmTlPcprry9r8466mCakF9IJOMfrizyGu6eU5ZCmxZ13vg0AkFTXxpqyBI98m6Zit996B952L23lH/4eM4kzOn5244tMjcQ1CpW1q0iLo1rncg3Ljm3y/DkQWXjz+ji4j/eEffJH2VyXmmMJOHEnVWb3HOCc/cX/+wUAwMsvMzvb7xhPShbMpmfgD7xsE4auFlf52LH1Xmq7HPEcXh+G/olA2jewY+InYn/iiCOOOOKII46fnIgzB1cIU5dyhIh7vimhKUMgFBvqfRFoEfR7Ub99KP8B37eamVkTWyZBT9s18gDaDSJlA+NJe26zfm8pxB06+4kIGgAAIABJREFUwn72208SGY4KGbaEzHtoYm2LaOrCEjsd6lJTvPUmaigcOsz65NQUEc/sMsdQE7cgK/b93Dzr4vmsaupCiF3xBYzMvba2pvng9/Yd3AUvS4SWMD1/uQqmhNpTeamyrTK7URgnGl+eJ0qz+uzUDjlHyg65mFK2Q736PdnGeh63d1g2yo46LhzXwWaZGQAvybksjHDbpm/QNyKEjvv4KB0OXSkeJlOOlpfipDTiiyMcs696eV/IuuUxE5F0zT7WQ7lMNNXu8lXDR0GZklyeSLoVMf8HrZotM7IuX4QnnnwOAHD3nexM+Zmf+VkAwHlZ+C6vzgAAunIOzKUnUdJ4E0a6lhpdUwx4V6x8Xwix55kVLWNDnIJQBe0gz/0r5nleHD7IzEqtxezG+hrPK1c8nEw2iYLq945rfh1yZTRej5CPp/1Nyc+gqIyQKUW64ku01L3y6svPAgDuvOVdAICjB6gfcv41jqWrXv5JqTbC7SPhDq579ySzCwf28/h3hZCrdc5ANs8xN2rGBxHfJeSxK+Y4D5k0EXK/J5VOqYR6SXUuJXhuhr0Q/TbPwXqV42uHpggpS/OUzQ83OVLgnFs3UEEW5htC6+UK0fheKZDW6/z+pDQGdu5ghmruAuexvtnAffexc+FDHyZ6/+73vs7Ptnjd5LRtV9uK/Av8CK8DACoVdiO8+ALP/9VV3nc2yjxv7r6HHTVvu4f8kNLd7NSau/gqlpZ577n9BO9rO6aYQfjTP/kjAMCjD/8XbiTKvOoerWMQ2c471+5W8NxrdxyEQRA5PLqWKR2ye75aXE8h8a3kEbyRTojrrvPGrzKOOOKII4444vj/c9yQzIHjOJ8E8ACAkwDuBDAC4I/DMPz0FZb9HIBfu84qvx2G4Qcu+c6vA/jsNZb/nTAM//WPOOzLwoEDDy58PY1at4I9D1qt0RWqtSdF82IIwgCeY3Rr8yW3p0VzeBx0E0uqpmxs/iDSViDK6Mud7+BRIsS73k598rEJZgw6qqe3pIu+sHQWKxdYT2xXiML76pFfXeeT/GabT/LpDpFdeVMuei4RUKXC5WvqsU4KrUMZBeuPXxJPYLVK5Hn8NtYsd+06YhQJZHNCoavKLqjne1kKgEnzVFBNORRjfs9OIh0jtRvXoq95MldCv2d1Ua7X6sWBEHp1axOO6rI5uUdmM2Lba+6tL9/4IDllNcxb3tDGxMSoxqQ+d2nsm4ZFXp0ZI/Kvr27wGJbXy2jVVaeWvoPV3HNyEXSVWfID46oYgrQavbwD+kSdZ849xW2HmntpW4yN87WjjEool8tSIYuRktX35bao+na9ofMhy21khaR9QaaOuBhdO6iuqRyq7t0RR6XILMjx294DAHju+ScBAOsbPE8mECAn5GuZs64yJZ60AcbGTBNA11FC6Fy+HzukHQHTjZDuweNPUe/h5kPigRwjek99j+vZanBfi448ONwUkiFR+3SWCNbNy0VRx8gV10SgG/WG6Z1wXoxTkiwRjbesI0LnWUdql4G4F0HEbeD62o0egnZD+8ttZrOcQ3NODV3LROp8D7g/7Y5di/x79w7Oy2admZJldfuYfkqrw+uh63Nneuqe+uEzz2FimveS976Ht9xf/ORnAADfeZhOshU5irabPM7QmJIJu5dx/xIZZdDED5if532o0+H9xQmpEzI9ybF/8P1/BwCQS9yEZ56jDsPieZ6Lu/cz8/OZz/wjblvn3g8ff5jjN8fT1BCXK0L9Fuo4MOdJZzDbgaHl4LpwA1NGlQ6KY1yLQc+dy+M6mYHr0iHCS//QcCyLfb2sxLXX/UbiRpUV/gX4UFAHMA/glmss+yUAM1f57FcBHAbw1at8/mUAz13h/ade1yjjiCOOOOKII47rxo16OPhvwYeCs2AG4eGrLRiG4ZfAB4SBcBxnFMA/B9AF8LmrfP1LYRhe7bMbFp5ztWqL9dZe2TP8UgWthFBn3xnKHEQMYMsQKPsg1jbE2oaQw823UXXs3e/7KABgdJL10LX1Tb0SIcxcIHJaXjwHXyxzrytWdJKo7KBY9VbwXlxTh4Dq3fMX2XNfU011/wGir/Ep1mnzRSKtmYszAICzF+gUeeQI9eHzo0TM3U4CyVDqcMoImLKZo7k1F8ZGlWhk5hzXtWcntzUmFn9L6Cslvkc6ZXV8zltL6K0nDYaStAd8dYd4oYOcCrYpvVq9O+jLwU91740yEY+XUAZAvgQ1ucstLXN+xse4jd17yD0YLXJ+sznOa7vFY7ypboetSj3ykkiqnt8SF6NYki4/uM2e+vvNp6Ekxny3yzFUlQ3yMhz7eR33lUW+v0sKibv26tiNso4+PTkRZcKWpXVfr8ldUi6L2TwzIym5CSpRBtcIElbnF2pdW5fSZFHIUYzvUXE27nsHx/7kE49oHwJ0pITZ70iNs8v9ttp6UhmThLQGnKRpTpi6I8c4PqZavWD44grr3Rcukidz50lmEPYeISo+JXW+ong2uWQCPfkz5OSN0M6pE0K19BFlzPbuErdEWa0ulGGrCfUneR7kJ1gnb/U4v5NT3PbmGrM9XZ6qaFbVuVKpoygOxvgEt+XJMdQVP6Yv3oOr8z6n88GV8mpD2gMZn/N47DB5RZub8tjY4FgOH6GTYls+F6ZRURydwvd+QF+DcSka/nf//H8AANxylBySf//H/w4AMDdLLRbH4zwZwo6weGhOmKZdweU2NpnN+OHjy5oPZhBaNY7lnW97P24+Qjx54SI/e+0l8qZuvp1dOb/7u/8MAJBS58sPvk8Pm74vbwlpsnh2uzXdAs80PeTZcVWIbfdlB6GhdMcyx0N/O8HA36GRrwZ/Di6LN1LD/zHaNdyYh4MwDKOHgeulP64RvwogC+BPwzBcv97CccQRRxxxxBHHWxM/Sd0Kv6HXP7rGMicdx/k9ABkACwAeDsNw/i0f2VAEekQ01m7C6qOOs+0edtVnpMTAq6FYR97xxgS/9a53AwA+8pFfBABMTLCuOTvHJ+uVeSLtM6dZZVlZ5FN9p11FT3XMZJpI4N67yRK+8653AAAyQl/m9HZeqP302dcAALt38Wl9XEhoz24ioNlZoq/1FWYtDu4lGtm/i/XBbEIOgD0XbpJIp75FxJuUU9+BQ1w2meQ8Lc3z8OVzROOT41Ruc3wpwzmmPa/auxBUX+gulyUCGmYte9r3dCaLpPrNvSTnuCnXQZNnbzS5PxellGe8kTvvkONjwOzGmVOc4xPHmYEZLx3QGIisG9IwuDjDZ9ulRSJr101gpKRxCYRv1m38ps4o98ApKtrVm8YLYBbIklm+tBlMeTObUS9+n9+vVojWdu7mF3ZMGYM+jcqmXPdqrD83GvIf4KqRkbdEOpPVNtVhI/Tei3TeuS81qT2GyrzY9ZAf52upxPr2fW9/LwBgYXEBLSlYNuo8Bnl1teQL3FZSvIeeGP5pZVBkJIq8Pt+scK49Rx0HBWZIXn6Jx/Ceu3id7FI9fV3eHilzL3Ra6Id8L52XZ4A0FUIh/IQOVknofrTGzze2iFb37OJ5NSMfi7qOv6wn0Gpxvotj/P58lZm6QMh7cmc60sTI5MR3UJ9+V74mgVQqPWkkWLeC/W3dG8srvI588SGyui6WVzmmZJrn5NEj0uqQS2guvwNnz7De/5WvfAUA8PM//yAAYHo3x93uctw+mI2wGrxrvBhlvfp2goirkkqIJ6HsR0ccnVdOUUeh9h/+HwC8r7zzHe8HABw8chAA4Mzx3PzhD6lzcPwEx/3bv/FPuP/KVzz26F9pLNx0lCFwBzMGpvIYXhXeb/PLQt/0W/RiCWPtVwDbb2V9bVvXSQ1ct1vBfjSCbf5BeD2iwlsYPxEPB47jvBPA7QBOX5qFuEL8N0N/+47j/FsAvxeGUse5/raevspH1+JJxBFHHHHEEcffmviJeDgA8Jt6/TdX+fwCgH8C4Bsgt6EE4N0A/icAvwWgCODvvcVjjMLVI2Kgp3fzTXDhXqPX1R4r7elQT7iBN/C6/xCfkO9/4JMAgN37bwcAzMl74MwZotfTr7BOuLpMpOSLnY92BYkEEduJ26me97Z7yB4vlIgW2tIpWJhjJuDsWa7TTQx6JxzYz8xAV053qytEwhPKKIyPEa15xqTucB+aPR+tgKip2+YcjZW4bD7DDMHMRY4b6hQ4JkTjipthyCmdlI9D0pCk+rvzUpArjmk5IU59D+YkCRc5McBN0z6ZNCTDZTfVG96VXn2nKd36DWZY8lmi84kxorZpqdClhfqqUopbl8rlZlksdY0hm0simVKtPeC6Te/BU4YlCIi+DuyjqtxGhRmDl14iamuLexHqXGs0iV4nRlgvnxxjnX/3HmZmjqjGbE6TW7UaWi1z9BSyU+dIu22um+ZgyDmHOihaTTmASmM+rW4VR+it1tjSNpiB2WWoR9mcnBQn9+w6hnVpamxViHS9yBmUx7Ut/kMoVnlgtWN1q5g3gydE3ZHfxXiR53Z5ncfgq3/5Hc7LLmbcpiaYQelLwdQPWnBTdk1ynO2WXBY7gv66O2bFVdkxyW1s1YmgA2mLmP7Ja68w8/aOd1E3wFwcM2nNm9Zj3S6ZVBrtFve3Ir0TL83z2TJmTfM1kQdLKm3cG45x3z52WlgWx4/c+biNPepWqKu+v6JrOCdPlkKhiBHxGL71TVLBvvvYfwYA7NrN86BapxZJtsDrx9V8BV112CjrmZBPhvGrDKMbFyvqZuhyPRfnOV9f/WoV84vkivzsz30EAHDidmY5O/JvePF5es0cOcKujGPiOT3/DI9zU9yLhNwthzsHTJnTOpCuGgHgJIa+a6qL9hL5OCgbaE0bkYbCcIbAutqu5xip7IYbRN9xAssg/M3Hj/3hwHGcEoBfwjWIiGEYPgrg0UveagL4j47jPA7geQC/4jjO/xyG4fPX214YhvdcZRxPA7j7Rxt9HHHEEUcccfz0xY/94QDApwHk8AaIiGEYzjmO81cAPgXgveCDwlselh2IvOfDq/XOAhhW29IjYKRnoL8nxoms3/2uBwAA41NEgqfPsh545hRZ6aYEtzpHJbzAnOLkpJdIJHCruAX33c86ntUX20LxZ17lU/rpc2QEV+Wp8Lb7iFo/8OCHAQDlMpHmufN0/jN1uUC6DjXVfUs5srX7qik2K/Wof31iJ7c9Pc1XU807e4ZjGB8lEiyNEMnUa6qRqsPCesrt1VzaCjl+nhHyNi39vhwo2x0ibd8PEQot+IE1O4sjoP7+rZqpFmo5+djPzBDZ3HyMHIO77qI65WipoHnjvlQqRJJtcT3S6r3OqXvBS/hIaJ21mtX5Od50muvqGfpSP38mI22GnLQEeup7D62HXtoDYvVPTezXWKmTn8tzDOaI2Ot1IlXGkWJGcyrnv4Bz5RkhQpyLjpQjA2W1+kKlhhxNIdDv8ftdufm9/AqVOcfHeMwP7SODfqQwgRE5Fe7by3UWNZae9AoWpZiZSllGQZyKwLw0THuC8zGSl/eGWTV0uc2lJV4PXZ/nU6GY03LSUfCcqCupq8xJt6/9lOJlmLUsFucwn+d87d5JNF5WV8/hg/JQSLD+H/o8poeVDVuTpkc2y+unvL6u7XSRzXBc7Za21bbiOed2ZZHbqDW4H9PTnL9c3jKPUu1Ut4PJX1oWyNU8pZUtWl7m/aSl7NixY8cxPsYsxP797HD59sPsDF9cZiaoUBrMkJpjpmcoXdk/b/jnxHEGvwfTrDC9GEa5MofvPU6OyOIK70kf/RilcB58kF1aY2PM4n3lK/QQefHl73Gd4jMkk7a2Ib0DvW2Kms51OAfwLqnzh6YxoD+jRJPNLT/fXuPgvd4i0Hq8YbJ+aC/W/XZ5XDkHccleRjyGG89N+ElQSDQi4v/9Br+/ptf8DRhLHHHEEUcccfytjx9r5sBxnPtA8aTTYRg+8gZXc59ez9+QQb2OiLwXhjIIA8vYE93wA13k9KW/xYydnBobeN1c55P0afnVnz/FjMHaEjMG7Za0DKy+J1R3y7GTuO/+nwEATE+zHtlXbf38WbKEz5/n0/nKIrdx7BYy5D/0EJ/STeHvxZe/DwBIm5cEWEOdm2Xfcr8jdrpq1DsmpTSHNrJCNjffwhq4mUa8+DKRS1/KjvnsoF67MZybYsC3lAlwMhxDQcp4vqnN1YmAIjVL44PoKd11E+hH/vPcRq/L12qFSLfTNn8GbmN8QnV81ZjH5aVgx90yDQUpIqrkHGkY9MTdSHhy1HS8yK3TOAC+qWy6hsrl06E57igLkbLMiNT32k0un3KJpPbs5LE7eJA12KxUC7uaN2OQt1oN9PvqYlFNNStvhF6fz9XmV2E+FSllb0ydsKd9aMu10XWM+W91Ue5vvcZtVyszAIBmje/v33cUk+NE2Tlt26K2xbFt6buBVC1rUiXMpnlMWuryMBRWEP+hD41JtHVfWYD6FrMaNu/GWg/gwNV5G0jhLwiUxVDWqS5n1CAw5M95Kir74ao7x02qpp7i3M/O8do8eojbnN7B7p9T66e0Xs7X3l2TUddJTxnApo6bYUNfCpcjOWYWM9pGV2OsSWsh3GRmoS/FzFbLlBc5T+22HRNuZ2xMxyHj4+abmRl74AFykyoVZm9eOfWYxlDX/nF+OlIr9JQR8JKDff52PkT3vsA4K4by7dznx/1EiEDbOHOW3Vef/zz/rkpj5PY7yJ/q9rh/c3KzNSfRhCnNDnUEbIP1YOjvKwf1WJQR0LijW3mkWjiI3+2eYwnkYZ8Dy7QaJSESWAyi1MHAGAcX0ravPexL9su5YUmEH3fmwIiI12pfhOM477nCe47jOP89gHcCWAfwtRs/vDjiiCOOOOL42xc3ylvhYwA+pj936vWd8lEAgPUwDH9/6DtFAL8MEhE/f51NfMdxnNMAngT1DUoA3gXgBEhO/FQYhlvX+P7ffAyVggKxr7eRjZCdXusN1vdOneKTc6VFdu68eu/XV4S4O6rJq8e473N9e6V++J4PfBJHjtH1rLZFlHBhhojl5ZfZxTkzMwMAOHCQiOYTH/8VAMD+3eQc/PBpLtduE1mPFLmNmYuswZ87Rw5CXR4ME+INZIScs6kkTt5FhbpbjrOO+eQzcohssD5v/gzG4G3UrV5PdGL9+6beZ8z3jpQQW6pRW907nSDCSqre39HjfjabgWM6/l1j+ktDQP3sU8p4TO0gOhsfF6IWq3px0ZwAOeeHDnKf2tLMNyDRliJcpbqi94kcc+kptFpcNl0gGt81wTlzxdY3S46EuhrSGctmCJV6nI8R+QDs3k3kd9NRznNSqoa2bx2fY1ldZXbID6qYkAJescQ5DuS/0G5Zndv6u5OaD2oEJJWNcPT5rM4DyAciI12EUE6Y2Sy3Y9mhxWV2xaytL0bOoKNF8VSUXDE3yl5PLqQ6D9ZWt7T/3FZBDqGlErfZ6hKl+31yOUZK/NyBdYFwvRvrRMNwdb6kk5jawWXbUZZBaBt2nmzole+76soJQx5DL6WuFfE7fPFBUpqPtXV+/44TdwEANtd5PZoip+tmsSqOhS3reOa5oWzcDh5nx7H6NvfHD3QdyMdgcZ7ZvHL1lYExe96VUXxlUx4L3RXsnObxf+97eQs/eoycis9/jmP4znepJWBF91zGupN48Dz5X/R7gs6haQzwT9dSa5ZhMjdHLZBIIEql2kdrazMAgD/54h8CAL71KDUYtqqcw2RaJ4653iaMF6FtDFELzCfBvWrqINheztw2r4PAzVMn2k9dN+HQxk17xTwZLOMWmD6Cfiw837Ja1rFwhSSAde9EO/bW6SDcqLLCSVxupnRY/wHARQC/P/T5p0CewOshIv4vAN4O4P0AxsH5mwXwrwD8r2EY/o2VFOKII4444ojjpz1ulHzyvwTwL3/E7/whgD98ncv+sx99VD/uGGbPKhxz3dOTst5el0fC408QAfXVg96x+i7kACcEFYghvO8wkeP7H/o4AGDv0btQrfOz06fnAAA//AG5A+srRBfHjrL3+xOf/KT+Jpo7fYrPaHNzQr4CksvLRDdzUmWsVIik2w2i07Pn2CQyJu+Fo3ecwG0n2I/sK6Fz6jSXqUgTIC8WfqXCjElaKpOZDNeRTvPV6t+hEGBXmYOEOaapwJfQU3igjEJNLny9Tj5yQkymiIRcuU/umiZCKkpb3xPCWd1klubCee6vZRDuvIOZlVSWiLFeI9qrVrlP586TD5LwuU87Jw9qX3bD8eUi2OS6UjmOuxfwuGYkq7dnv9QcU1xueZljHusTxe8YJx9kcnxE88J968jvoLpFJL20xmMUqBZ/5OgUDhwkUk5JnXJDaLUnj4m+Xq3caccgkTTvCL4mEswEuI7q+VlzsePnTsj5rClL5KsuXt3cxLkZbmO8xPNj9xT1GOBzP5oN1bO7hsqUAZCXRrvD45sXZyGrJnNXWZs+eNxNeTHyspDmQG2L11er62CtzPfq0owIlEHJym0wTJDr7Lk8RnWZEq4uCQEmuL85ZTFS6rzIKHuxsk4th3MXOI+T0+JNSG9ibWUVzeagdlvP52ednjgqAqH1Os+pUAqZAZpaF8fY9TXXPZ6Lac+MMYRKzWPAPF3kajg3s4EfPMY53buXGY6HHnoXv4p/zGUF559/4bscg/wMUhnxJXzjdSgbKKdUc7c1xVFH3Q2+qX2aFokHJIS6rQMgpS6cZpvn8fmLfDXVykRUwFf2QWqeESq/mnPidZC26wTb2d7tloArLusNUc0cc+KNMgCWgVDXhrLHjjJMTpRg0HyZmiO2lXItjEthGYXhDMJboaT44+YcxBFHHHHEEUccP2Hxk6Bz8FMWg2paFq49h6lOJbI6UmLZ2pN8vcqn+ATsidjqc3xpC1GMjpLa8eCDPwcAOHkX9RE2t0Kceoko/dln+aQ/c4414lyO2/7wh38eAPCu++jffuoMMwUzZ2cAAIFP1Npqkd8wP0tNgoqyG22pkYUay9nT7IK4/230cHjnu96NhOrUP/gu+5GfeprMZ5W5MTpqKnt8Aq5ov8NN08AnMi6onitxOXj5hD4XSlMnhS90b0xqyA+g63sIenJoVD03I3W5TFrse3V+rK0TnaysE33V60RIxubOSmlxqy71xiz3ce0iMw0La5yXveOqwavzInRdpJQZ6Vo/uzgIvmrA0xNc9rajB/kd+V5sTAquToiVbwqQ6moIfL6ul3lslpc5hmab2xmXqmMiSKIv9BzKrdNO0WTSuhWUjZC6XuAbAiRyNuPQlDvYW56wmqk6K0Lp/8Phelt17tvqYgMbDhHuWImZkIz0B/p1HT8pQ9bEqt+u3+pWJdS1/wC/PzbGY+tKWdDUHl3HMm3ifYwRtY/IeXKzWke5wqyWqU3mPe5/PzTHT74WS/xOWuqEu/bo+IrXMLfIDF2orMQuIeW+IzdPDX3XHdQf2bObWZOF+RlUG8wu9OX42NYx2iirg8Ijx6Su7hXLDJk3iZ0HEzvlCxHqHFVGLiV9g6Rn3TuqzQt5dvpdvHKaHKO/+E9M5OYlkGkOj7/wkX/ALbU498+/9AjXKcVDz2O2xnWGuCvWxGDOkqa9IMhtt7Yw9CPlT/vM+Akp6wTRuRZlBJR1SClb0e8P8gQibYJIzfDKmVwnerUvJqJMwXYXzuCy4dC3LbEQqXnaEnavH/pJiLrdIs8Ga/OwbAjgWKZgSJch6owYyiC8FRE/HAyF8yPN9WCPy4D4hZFUIkEN+0wHV1m/IDoR7UKzdfFhwVFavS5p14MHaQb0sx/5FADg3rc9BABoNnkoz736Il56mo0bs+ee07Z407r/nX8HAHDXyQcBAFs1nozzc/xRrFZ5o2r1eQNaWeOP3prscJtKnyf0INNWKvugST6/g+nITGEKTz7PlPzXvkVhy0WJrxw/cQwAUByVZK0slz2115VlkBP4HEMgu2jdl7CxyZumSdqOluwHTaJAIkX1XLWuOQ4yKbOQVcpRglGtlh52Otz/Vps/XJ4IZ7fezLFOTk1qG7oZKAW6usl5XSnzxh0ozdwOSR7sg69OJoFQrXkJSS63RcDsq70yaXLakirO60FmVHbaVZE/a/rx7HRkVe2LsKk0c1aWv6mUBI6Uhl+bW4EjuVsvxffclNkl88cvkeAPTL8nYp1nssF8CMpmee7W1tWy2TExGx2chNouR3guJlz98Dc4f7O9efQ7XOfUJH/cTXG3hZrmjudgN+T+Npsqo4l4ZvK3aR4q5EdJa3KTJJOO6EHGZJUXlph2T0vCeWIHf2xHC2MI/S3tp9pGMfij0JfYTU+ExZEi56tu8tpl/gDbL5LZlDdXtS99fu7qeglu4bV7/FY+bJ4//yq++m1eH67L837/9FHtj2zVN7gfo1MsJzkqr5hpWC7N8x96SBydYutwV2XJsMexOJKbdvRDZK1/biYF4xGeOfd1AMCXvsRlP/wQHwoO7KNw7EPv+yUAwJqEzJY2KZaUHBHhzlr5TJBIJYJIbjgc+rG0vHoY/S96tR/rjEScot9b+45+uXy1zzqJoZ9uuzVHv61WwB1aTj/IXpRDD7dT+KGRAgcT7JGQ0hDp0VOJK7SKgP09uGvbr/ZwZOedrJ8DN4zWHVz2ZHJlEaftXx6T8H/zDw1xWSGOOOKII4444hiIOHNwrfgR20SCS57WhiU0r7ZqE3NxhD5CPa/5sNQu/771VsrifvrTlIb44AdpULKwQAj12KN86n/6yacwc+E5rYMI573vo/3zP/wNfnf3bqKtJ55ku+RymWitERCVlvX30izRf00ywYFEcKwFrjBCxPmLf+/TAIC3S/r5mRfP4JGHvw0AuDg7AwCYmJTxkuRuK0Ld0nKBG0qQRuaaoUhgDbW4maiLpR1Lyhg0+1v6nrU6qr3KYcah3w8wPkaCWEH50lAoqykzo47J5QZEyFNTJGxOq5XPV8bAbKJbSu2vr7Ecsy6zH0+Svyml33t9ovlet41CfkyfcQwX1jjHJu1sMsprm8xibG7Nav+Zrbl+l/iFAAAgAElEQVQ4x9T1wsKivsexmBTynn1EltYi2G1xva260H2ij7ra21pKOSfUijc5SVJg0uyCe0aSM+MoIuZbbqZEc7NOND43y2OYV3bDsqKZUJkInX/iJ+LmW48jm2NGozQqgyHtf6uh41zjtpMqUZSKkpfu2vUkg62eSRurRVRZDcdS1hJ06upc7Uhkp7fM1s5kOhtZDmcksOVLJKrZlc14np+vbXDuy/VBCfRyVeU1qxQqO9FQyainNt152ayfP8/s2Z0nSSL+8Ic/gKee/WsAwPd/8JcAgJEMyb+7ZHq2VVdrquZnv67ddZW+oJZGRyn90gjP2ZSMqpYXWVJ0RYQ2syx4lql04SWM9Mt1Pf8SMwKehLYeeojz8J4HSchtBcxA/ocv8P7QFgExoXbCQKRJEzsyAy8/iKCyhrBtVLTN+bvyfdM+di8DzoPLu1qnof4wMkO6Sth9OFrOgWtZvKF1b4/RhNbsg6HUvzEujdio973IhplhWZBt0SQjKobwVXPxLLlipQtnMDPyVkacOYgjjjjiiCOOOAYizhxcKa7EIbhGXJoxuExr8yphi7lmlLJNUgAA1FR7np4iEvjkL1JG4gPv+1kAQEfEpR/+4BEAwLe+/mcAgJWVOfg+UfcD7yeS/83f/kcAgFtvZc3z9Bm1LC7KYrjOjMFCmcimPEcCYlWtWH7Q0I6KRCei2kMfJhnyVz799wEA59Ru9LVvfhMXZogqCkUi/MkJIsbqFlGZEa/MztdakXIFnpJJGSw1GqzFVmQ8s2MHUX0o5NNSFqAftUWJDKaWwXa7DtcVukwTVZu9c2mU265WTIxF9XBlDrodE1bha6PFTEBXLX9mA5tM2tiZFchLVtnXfJU3y8jnmZXIZEwgSIheNdVUkt+xOmx1i8hwq2bthpKwVVbC2i6LJWszVPFemZdsVoIsRooKu0jKOrirunVdxkHFPMcZtYuKcGhzv77BdeVzrIePjPCYpozYKeSdVMokENeiVeN5aCTB0bEd2Llrt8bHcW/qfOh3zJJaNXFdDinJHm+ozp/JmmQ1939TssHjnsSCAvsez7dCkdve2uJYqlsm/dyMMj1Re594Dr74Ptm0xH7Ugja3yOthehfJwBM7xYdRBsoXV7QvU6y8MmtZiQYtLzPr8/JLlP697bYj+MTHWMdfXKJQ2fLqDzmmLMd09AjbC+1+EIggMDUhIzORaEd0fiXV4pxRVqjdZXZns8w227SZi0V41kfCCwfeSyZ4Pjz1HLMaLWVSduz6XQDARz9qxmycjy//JQWKfJ8ZpZRxR4e7uJ3B94NIZWj7Xjlcnw8jy27+7V5Bqn4wohyD1nc1oyUbk50Dl8B8z8ZiGYTBHYlu8UPrNmO3UHDfMQ4GbNUmesTwIuEnW9DkmB144tj4lirxhyfzmrt1QyLOHMQRRxxxxBFHHAMRZw5uZFxFLOPSCIaeQq2Ob1mKrv6emGa70y/9yq8DAD70QWYMGhIeeuRbfKr/+le/BABYXyHa77XL2KcWpL/7y78KADh2hLXC115hHfvFl1nXnBXSX1xiBmFeyKhb4asnBrz1HPWFQkeKREQPvu+DAIDVdSKLbz5CsaWNzWpkIDUxSZRpZj1LS0TC1tZUlYlRu8k6+NQOIqCEWhS7VaK54iiRYdLY2WLzm8FQo8V5yel7nuqeqVSInpBPr0t0nU5yHV3ZJI+MkA+RFB+gqfpuXzVSq5W2OhxLYVRiPzKeGpeZUMZq7zLycVVM7HW76KprwAkHDYcMTVlrWTajdYvG7/tmDyubZZk55ZSdGB8j18CAYNe3eVCbpuR1NyvrGJXtc0pZmaTaPTtqe+z1eLxFdI/Mn3qdnNbBdW23YiU11qz2RnbSEvZpS8rZUHy310eoW461nplE91ZVzH7Nh4ncZNSqlkxINlgoq9sRlyAjoR1xFNoNnbMRIlS9W2z9bNbGGmJL9uCeUdVVM+/acVcGIV9ihiChLEVVvIg9Jc292iU7IY/N2DTPr5wkwkdGeExNMv2pZ9hiDLeOW25ip8+HPvAhAMCffZkGa5sbzDJUxpWlmFQXQovHYM/eQ5ovTtiW2igTHreVsrbL3ey4aXU4v70er79EwgR53EjC3TPxJ0k0Bw6P/+kLjwMAvvBFHvdPfoJZzI//AoXX5hY5L88+x3uRGyFvQ+9arzUrqG4e5QBCXJJWiBzp9N1BiBxcF85ae6F1Smzjdr4R9Q8OfssW85zt+3ikPD2Y8oiaL4bWbfc066gxTkGUJY5aOweFmrZN+JzttSn7EH3HEstamRnLhSaP7cciSHHEEUccccQRx1scceZgOH6EDoXhLMCP8t2E0IrV1MwwJJ8nyvrFT7AD4DOfZq9xRwzob3zjqwCAr/4XPqWfP0cBIl+SpqOjBfzCR6mBcN/b3wcAWFomx+D552l+dPo02dNzs2Rhzy2QH7BVY53bbbO+m1YPsT35R3bIekr93mOsj16Ya2o96hxAiKlp1vdzqoWvCwn5egQul4lg1lb5OpJjpmFahkLlLY6h0+MpumOKCKoTmdZIXrrF5fpdot96l5mIknru0ykv4gZ0uoY+xdROcK6h2nNzS5yCNmunSaEvgzhdSTOPTjC7YZLF+Rxr7J7Jwwql5aSvkMkUIoZ7U10XCXFNTMQlL65FKsnv9DpJvQqFaB4cmDFVSfsnPQNZd4tOgb54J10h7WqjgUaPx8fEfEoFzmmojEEopOPL/GlthRmlqSlZE0fmYZy/mkSimi2zh+YYfIksWdZjpFjU/AUITeZa6Kla4fHv6JzLJOwcU7amyf0oqMtBGlIYHbNMkgynNIasuBtbdWkLwER0ZGgkvkS/20ZzRR0wqut64hi0pYeR0nmSU0Zo5zS7NZY0L90OP88XmFkoqbthosBj01enhMklLyzQRK2yuaTtLOKTH/u7AID3PfB+AMDjz9p1PQMAmJsjPyEtPsfkDo5hfYNZwN17mBnwZcDW2vI1ppzmjSZhO3ZxX5eWzTRLmYZEH54yJEhsdw8AQF6CY74yiE89/TAAoCOp6v/qQ58AAIxPcFuppGrqug0mdTKanbxlfSJgHt0+w0vAuukRMIbNj65nhrQd1mFkmgW2i7qeosTBYAbBc1wMJQq2baCjzjL73AbtDnweiVBYFgOD3+v3LA0gXYNwkEfh+peqMljaQX9rLt0oYWCf22BxwyLOHMQRRxxxxBFHHAMRZw7eRLzeboZLw3QN7DHSULk9rX/0Ix8FAPzW3/8dvcv3//QLnwMAfOkvvggAqFRl8apnzJ6eyj/0oY/jU7/6DwEALfX8f+tbVEx8+pkXAACNGpddUs98vUwU4oSS6lW93mqono1VI00Kla+vs8thYkq96So2Bv0e+qHZ9TJrYV0KxuxvyC/Z+tL3HSDHwhPaWFnmWI5KfdEUJbMyUapVue1KeVn7xL+7PSKkSobL7dm9H6MlcgrqNdX9xQWYnCT6tHp/T3TzlHgLiaSp0cmaWGY+gVTmOrKsdaSY2Nricik9vU9aJ0G2gGbD2PjQujmGgqSGR4p8NaS8tsYMiBlPFQpE3+PjUgKUWh8cszpuat9Ms0GoTd0QYSKLMMXjXpHeQVfqeaNZdV/ofC6Mm60vMygbYsSbnkEqzTGZumMYDPIidIjQjZx5ud6R0REkhICbbW67UuX5kTBJZkN2vnWIcDmzjU4qM2DZCCtwV3R+JUYmtH6T7BV3QVyDlLbfaGxtmxEJffXEC0noHPVgMsrKMOhuOVbiWOYkm33yrnv4PWU91srqNBFfZn6OnQKr68wCtNvMHCyvPIcJyYj/8i+xjv/e+2mbvLzwOQBAX3yZi7PPcBtpjjGXo9LjphQzDx/hdXLxHK9lX+dstsD52JUgujeb8vIGMwipRA2ZjHggQ+qBoXEDIrjOY/LSK08AAJaWmXnsmqJmetCy2fBvdMuLXgd5AYAzLGx4wyIZbcu94li233e2XyPpYi07xHtA1MXAiFRu7fOIc6Hv2/u2bfEEhrsZIl0Ed/sz06NwlQGJOBeRqv7gWG5kxJmDOOKII4444ohjIOLMwZuIa1EMrta4EL0vpN9Td4Ip/r373VQzbNWISr/wJ58FAPzV1/4cALAuLQJjuIaqNe6RctrHPvZryKoG/tl//0cAgC99+fMAgLIQTSYhjfiqmN1C22mP6LZnNTU9AhtbPy075btPUmv9ve95LwCgH/D98gYR0fT0JHqqea+vr2kdRB11eQoUCtzfW289DgAYK5Fz8Oop9nsb839E6DuQCltW/e3ry0Rj1Q3yJZYW+LdpPOTyXH8+m4i6ExAS8bkOUVRLuv25QkrfkYlPYLa4/NzMjjKqW9dq4lbo6d10H7p9KSTKVranMXc7QVRvNYZyWmjN1OTOnpWSndj1pn1vnI1sVvVwsfsbsupNZ7Remfz0g4L2lfPZUC1/qxUg4xnDmWg1M8JaeSrFeemJ12JmX7t2MkvRizQIzByH+7mlY5lR98OOCalACs0srxHV+kLvhfRopEcxv0CE224yM+C5suKWfkNafA3rU7fOkZQyBRsbXHdpgtkfU96sKUNjNeVKzSzPlQVQV0u71YiUHwNljJy+9j8lJCi/j5bmsKXOmMkdnJd+X3bS8i4pSJ1y9gKvs401dQj0zT9E/hf5lsa6hq99g5nAkydpyvSxjzJjePo1ZhleeIVZP/NeWFwkb2jXbs2Py44JV8f0wGFmFE6f4X2iUed8jY1Ro2L3bnGcuupMaZ+G68g4CVIQjTAjz39D+GajnEqHmtsZ7l+g60iW6KG8KIZtARx3CItGNf0gQt9OcOWbajgsgHDVuCQDMPD9QT5EpGEQ0Qki9YFoG9tZ3eGxDL7auWVqttuwfqjrwfxzXOObXTpiRGZKbjSO7XuLo2sy8luKuhe0xR9Rzff1RJw5iCOOOOKII444BiLOHPyYwp46vciilM9p3/jGNwEA//lL7C1+4kn2RDcaROUJ9b96qm82pM522wki8MmpaXzxz/8YAPC5z/0BAGBtlSzpjCxW20Oi34ZSTQHR6tWh9Np99aTvlHbBPfe+HQBw8AB7rV87Q12EXE6qfWMlXFwisut1uho/kc/MDPUYDhwgi3rPHirmtaSY6Ot5dd+eg/yeVAlHlWlYXiAiWl+dAQCsLClj0C1rHvWErWyB425nLUqqU7ue2PPS5W9rjPbdQB0P6azp80sZss15Ko4SOU5OSmFxU5kXScMVhKA6bdv3zQixbHcpyMFP9f8nnmTnRyplSoc6VqqD2/sNIe2+0OhEhvtpmYhO2+qlQidC7b0giFQjS0VmeqZ2sFuhXeF31pVZMq2EsXEiYVNArNWJMK3bY32d/e1OKL6D1PkmiqYZb/ba/H673UTXHD1bct9UR0xGy9h3ENp3pckgPoN1H1QqnIepnTyPdu0lZ2V+hhoeS2VeLz0d40DHsCFtg6QHJJUhMBtk819IZc2nQOeQ2PwdWXuvLDFLY1beq+vkTezcTWXN0gQzMsaDGFdGIUxSH6RVJ18o5WWxsszr4d/+m/8NAPBPf///AAA8+AAziKfPsDspkHpjoPNifoEZtrFxZopGZYF9+BCvyVtuugkAMHOBY2s3uK/T0kvoNDhPy4uzUYu8G3WS8G/zazDb4Ai7y6chq+vdk4eEpWuMRxSl1qzWPlSr3ybiu9tuuFeDq6GplV7l86HY7mqwfQoH3reOq2E7ZcDfzngMSzpu74heBrMPxmHZDuP/2HpscPq+7uXh4DTpHxGjYWAs4WXdC7bYjWcdxJmDOOKII4444ohjIOLMwVD8KB0Ir0MQ8aox3I7aVi30m9+ku6L1xHbbgzr+CbGOfXEVPBWhzp1lLfIP/vX/iNdeexkAUFklKknbk7xqgVZJsxJgLxoMP08b3dYc7fSkfJPQyC6h+s0tjq2iGnxxgsv1e234qnV6WvnaLBF+2CSSGSsQwZgT4NlFoqkd02RdT5ToSuc6RMj1Ghnz84sXAAAbFSJDXz3XaVPrE58iW5SGf3EMWXUCOGJ6t9vW2SB0XiUqd4RaE9aP7HD/6urbH5FSXmmcveWdhurhTXZ9ZMXWzmaZYWl3iKgrlRW0O0Slgbo47AywXnjDDZksj695LDSbVY21oXUTQY9JGdFxiBw7cmG0fUpmpcLmmMNiD56wwGie+zEin4fFDda3NzaJJjtSn3SynLeJDDMlL7zIuS9viHPR5ed9tSVU1rm/6bTq4PJe6Kum329uotlW14qyVWNyzDS9h0yoDIE/yNKWhAKgzpCslvdNayDFfcoVOU8pOU+OKkvSln9IrcLMQRD2UO/I+yGUA2jAzElSDpCFkFkJx+cxSwbcv7WFVc0fx5LJMAOztsp9mz7Ic3thg+d0rc5jmMwcAAA0zSkzXEM2zXFdvPAtAMBn/+ifcnyuujQScl2UP4N1IUA8gfoWr/WFWR7nHaVPAgD27zvI5ZtSEK2J2yQ9kaNH2WFR78xjrSrORKqtcVmt/NI6PGDnqO/rWgukuClH1b74MzA2vu47YTCobzAcYRBsg/JIqnBQXXBbU+DK67DYtkgYXN6+H7EIhn75Ls1mbPMPrKPMPhRvwbgSkcmkspXmfBn2L1k6Wk3UceUap8F0DrTCsHdJGsO8JMxawVZl2Ql/cH+21Sb9N/fDdEnEmYM44ogjjjjiiGMg4szBWxTDbFmLcKgn1hX7PrTeebG5LYNh7nP2ar3Yxvw1rfiLF2cAAOfOn4vYsCk1nFvNUJvAMGl4OIxZ74utvP8AVdnuuItdCp5Y+6+8Jj8H1dRSLhHEyuoi2m0it7V1oupVdS3s38fa8J13kLdQ3iQa67Q4uJtvIavaug0CuZPNnGOmwHrv62Khp1Rrt6fxqKc+bxr6PppSUezIC6HZ5GtS6oJJcQS6xj0Q4nH16kjBrJCTbr14A03TFpCXguMayuXYmqqrtzqb6GrZpLQTmuJSmKugaS50O4O+By35EywuLQ6M6aaj3L9cmojZvAqsvmm+Dtbnn0gkkJH2g507dfXvV6tEvDntn50/LXkk1DzO31NPPw0AaKvLI5EUMlSt2daXKkujQdkBzzNvjh46XYNy6kIRFyBwpJGQU9YiLW6G0GtX+9fqWJdPV/NHdF6v8XybnGBdHz7Ps611ovyqOi6aavT3vADtQF0YqtcmlXVqqzuhKdSdGqr3pjS202eJ2u+5h9kPX3yKiSK5B7cevR0A8MzT5JOM5Ina0eUxq2+Wo2vJ07X29HOPAQDcpLIVucGmedMYSchLoi+e0EaFmgPnLz4HACgUOeaDh+jeuLlhGSui/gOHObZ8sYHHHtf+1pjdk8xDpGJpWirmXhkppmIwTOZ/uI3Lh11Hg4jWOlFcN8K9l3QTeEN/W53/dbosRmMZzEBcN0LvkuEPcgosrBMm0kzAYJeCjcE1QoD+9j1LA9g1Osj9Ci6ZN1c7EBglTVmH0BkczLabpMbq4PID8wYjzhzEEUccccQRRxwDEWcO3qJwrvLYFSlameKV7w98nrCaUqRKaEhLT9lWx9P7hvJte0kvua3hLVSRiJAw399m7l75EbPvGZ+Bfx85Rq7Bzj3MIJwzRvgyUe+ho/y80ycartbWUZGz4+LyRQ2fK7v1NvrTFwqsY7/6Kvv7J8bIEZgaI+oShQCvvExW9tlTrIsvLXDbhjj7vvXHc37GJrjevPztq1tNtFSPHy1lBvbT+rbHJ4gYu11uNGhyuYQ+DyT8UJJK4WiRWY36JhG34xn65euWUOzSEueg3amjNMrsRLZAxNwyooeUAY25bB0Uvra5Jb+HTpvH2ZQRTZUxMA95ezXHN9NVEPJOJTPI57nt8gaPW7NiHAGi0FJJ3RzSLWhIx2BpUZ4bYq/ns1wun5OLpWrxphzZlMpjUp4VkSZHGMCBtCRC8TyEQgNZQW6JxxJE+gZ6DY0xz5X1xbnp1onuqxWO8aZbyVlJaT5nTtN7xJQE++IP+AiQSHAOzdkuocxXIPZ9Wx00UMdEVdyBEHw/m+X+La8QcR+9ieduLsn5uekQ3VHXl8VxkefGiE7DmeYyAt8ySsoMSGskqSwPhpC03bKNk5JMtrVfXM/CMl0dR6VyedPNPw8AOHSQ1+6Z0+TuJB2u/87b3oNWg8fr2ee5f/0+z2vjM/V9ngdRr31iEL27wZCugWMZhmGUP9g5YJ4EDq6gSxAM3he3UbyHa8Vwg8G2c+LrizAMovFv8xUGX+2+GBkh2m7qnr6dmbV/DHIYfOtA6JuyqFYQNXm4cN1BLpKdo/ZzMUTN2O6guIG/6HHmII444ogjjjjiGIg4c/CWxZWLXPYwbd2027ra1hMbSShicAGx/6NGAntk5AIJufn5fR+hFMvs6bJnym+J4WfB4b/t6VyoRC51Vu89d56qdgsLRE65PNncWaH0pVmit2ZzC0vq3643iEJuPc4a5/HjZElvrEvk3SES3jXFdXkO96OySZS1sULU5Yh7MDXGGmooJUDr+7dm4UKRCnGFPJdrtXykpHmQybDmG6oLwR7xPfEAcinTmCeC7PU4xkBU+XHpJEyNsa69vkwehJcwVCvXR3Ug2FN+GLjw+9xGvcZt17aI+BzV2iXCuK1S6NnxJrodkwvh+Pi43k9p/8RmF8vfEawxhBz4hjAzcB07R7hfKfFVCiNZTYe4CFafb3BQdTlkZrPkaBRygwgpLS+Ktr5XawiddhPatu2LE+k1dHumvqcOGjkhNjXn/Z7GbyhL566pM/Z60sXQuboubsttDpVCjx4i5+D5p4mQN8o8GEnNZ71RQSrkv3PipxjDPSu3zq4lDoxboQuqLXXBrLw2NtZntNyU5oeZtMNH2LVw/CZqkFQqdHNMJtjdEPTWMD/Pue2B2ZxUVtwAQ6+Cggl1kNgl25cWRVIZknRKCpBdZqvOXuAYb17i9XDHbbxGd0xz39ZXed24Xg5HD90LAKjVqYdy+gy5Jf2AYzOOiivuSGD3pki3wLKXYvNDQx9KTEbIe8hbIQi3a+xRdsEdhMZDxohX71oY0i24TKrgqmF6Alcft3G2DK1b1mvbemFwcFfzkrD7cpSgiLIBmmcEMOmIaM2X6TFEoxtc4AbKHcSZgzjiiCOOOOKIYyDizMFbFEEwXG8bDFPT2n5eHmTbD4fV1iN2qmUeonqukBh8RE/bgWkj6InelNAwlJ0YCkOQps73yquvAgCWl/n3rl13AgAOH2GN1WqW61KKW11bQqXMroIxOSLef/+DAICp6YMAgFdfo7Pb5CTXcfAge8ANUS7Mk31t3RlHpfzmhOyhN/quqRs29ToiNTrLHGRSIRKeFAs72i859iXEOjeuhGUKPKH8LSnnWdfB+CizFfv3cAznzpAvUS5zv7fqCxqz+SPI5wCJaJtdIeTNTfk1qFOipQ4Iyxy4jmkm8PPxcWYrjOG8pd70mmr0OWVFSmPMbhgXxXQUkokUUnI0FO0Be3YTXYea801lazbLfO1IfTMp9UJzZQzFrN9Sx4hlwzrSDVjZmAEApNK8vYyIo5FOJZHqcx09zYOpLTqwzgdjqYsrISVJO9+b8pbo9Tl/pjC6tsK5bzeIwI/czUzViRNE8etlZhYa6qjoBT4CdT6kpOcQRjVjuW8Kvvnicxw4Qu0NyRegWuFxb9aZHTt7+nmuL0m0vmOS871nJ88XQ/kJZSYSt92NdovrKG8qk+TadQ4ta91MNjbrAOHndp4k7E7ucn7qUt587Ptf5tvCgQd23wcAUFIQa6urmJTy6dEjzOrNzvHaa4jn4nic69D4MZHKIPS3MkNR/79lhTSkYUuFISTuOZff99xwUK1xWAch4tYMIeVID2HoNnpVR8ih7zPzNqjzsL2q8NK3L9NOsExAZHxg7o7K5FpXhs1Xf6gLRBQxqpt6g78fxh2K+DuDNIbIvTH0L898vNGIMwdxxBFHHHHEEcdAxJmDK8Trr1O9gXVbvckZfiodjKg+dRmLd3BQxup2rb/X3ZbXcoeeljHUj3u12ObY8l+b64RKoU9Uet/byA8wv4NXzzKzsLHGeufa0gJcIcG77qKewS23UCNhZZWIptniGA4eZA19aoJw9pTcCWcuknW9dJF10HxanhLqCDBvCag3PT/GDEVmxPTriXZ6/jYbv90xfXqitHyRqHxskkixKiRcX2XWo6yOi/GxEY2Ry5troRULTa2yWuX6W02ONSMXy26vhUKB40wn5cZoDm5qyyiXWd/NCdIlhboTSbtETatCKpTWjSA+SGBOeEJ3XjqqugIARgqjGCmpg8MXc7/HdZSlQVGtVrRursNQu3EGjCFfqzOzUN/i8p6QTzZvvAceo66IFN3etsphQjyEhtwTE3ITHBkZ03RIVdHUOcUtsOshlMJkJmOsfUfr41jOn+G5+I63syvm5EnW+y/MkQPzymv8PHCdKLtn8xCoU8SyV9lMcWA+CnKx7Ac8T9bXFvV9dc50OI8Ls09yPm9jBmHvPnIMypvch81Nfn/3nkO4pcXr4oUXmH1oWfZK6HK7nG3XrDJBurhdz84nHfeEaQdwueVl7u8LL/K6SCmLtmuKmZWg76Je4/V9YA/n6o4T3I9nXqDPSzfgmEJYdkPdT+KLBP5gB4U7rIcQ6URoV4a9CnCF+5xlHS7rNrAsqOkZDPo+BOG1YXPEZLisRm+dA1cYxJDeQTjUIRbpO9irZ0qS+rat1DImtph1PVjj0iWSBdHvhLJW1jkS3bkjR0dLB19ithBnDuKII4444ogjjrci4szBJeGA2tXD6PyNxCWiX1cJY+EO1paiJ2LLLBjAHHoatCF60eeqScHDcGZg2Efdv3biAInoqdrqe3zdM80a9a5pdQxIM78sBLWxIW3+VhNT0v4/oe4Eq79fuMCe8LFxIv277jqhcRMhnjpDNbnZhR8AAKqbXHc1NKQpBKl++Y7Y/vtTdwAAkmKe1+UgmM4UkFVB1g053pzY9tN7iFp37SN6n+gzQ7Aq1N1T7/0uuS9ms/btKugAACAASURBVEJ+5l4oP4xMWn4IqlW7CfX9yxeiFzaRzEifIEGUmc5zTkeKxkKXc6SyMXYMfO13t2uqhByTdQiE6lLpdfh5vSZNfqG5YpGIfHxqJ9LyUqisE/nPL3Bua5usewcqIielX2C8GFfKj+2uKQdyG11xNcyNMqP1l4qTmj/xKpSBqFY34bjGqeD+W1ZiuztHPgyB6tz+YAYtleC6RNGIuhbaUpw8f466GGdOUd9gv3gCx09Qc2B5gx0DG+Uy/K7VgpWlUSdFs87jlihYJoRjqEoXotXmPrSkoGgqnqkk92F9/QUAwKlTvE7uuZfdACeOk//w3AviPfR97N9Hn46LFznu6jKPSUYZAdPfNx0P1zN9FP0dJDUvvL76xkWSTgiknzC38ArXIy+O0rt5jI4eO4RTp3hNdtrMLtxxOx0hV8sznMsLy1qnMgauoXXjQ+j68sw8wO5tV74J2j3vUi2Y4cxBEN2DB+9d2xkkfc/uUdZtcJ1bt33fG9re9vbDS98cHJNlaYe2YWM1Pti2HoKu4egWr+spykwPZgX61qASOhHvy7QPtvUajGsxqFXjJJxoOe7LDfgNe9NriCOOOOKII444fqoizhzc6LhuvccyAoO62tGn1ns/nCowve7IGYyIwtjakaqXe/k6hyORuPZhN/c+q8VOTTEL8M773gEAmBxj7fXiHBHnptBYVYxw+H3s28Pugr1ycCyXiTZLo/zu4UN8f9cuZhCeePxhAMDLrzJzsNU4DwDIFjQfwaBjXF+M+bEi0c6YVA77ILrz0kR3I6UEcjnOWVa68hPTXHZ8hxBPkvVeCQSimGYHhedwXSNpcgfSUvxbXxGrX7r+hiBNtz6pnvNOj+sNww6yee6nPdAX5RSZH+F3vCS3EfbMO8AQApFxq8V1dXuaBykkZtLkEaSSRIRpZSg6qvePmNfESCnSRujI6XND3SVQJ4wvPYyuzq1shst7GYOhVug07QTORxB0Nea2tsWOkVrdPBtMNyBAT+M334+kPAIQ8liYa2OtzvPFELJ5iyTU959OEdXbObq+znNwZY4clcOHqQg4LS+P6Wmew5OTU9r3ChZmqdthtfFd01TpTIsH0RQHoVSSJ4JrvgzyN9B8tvvMBECZA3j8+/SZZwAAL7zwfQDAhz78ywCAE7fdBgB45bVnI92HCXXtrJVLmhehb0frdgYb3+0aNl2QUCqFpl7oDjXGB+ILXJhlBsH7PjNUD73v53H4GLc9P8dtjBZ4vG6WPsP8Evk/He2n3WvsXuVbtlNji7oZgsExRIKChoIv6ehyhiRlHVMNvIz4NXxf1OsQsr56DHZubWdqbXNXT6vaLdnfhv5D6xrMPtiQHAze64f5ZNsaDpYtCBD2ByfNrjWbexeWSRqct/51uuR+lIgzB3HEEUccccQRx0C86cyB4zgTAD4O4GcB3A5gD4AugBcBfBbAZ8PLRbbhOM79AP4FgHcAyAA4C+DfAfg/w6s8vjmO83MAfh/AXWA15mUAfxCG4eff7H4wQg5dT4ZBMDw9w7RUe3q7ZIzREvI8x9ATbWTHyBcv+vLgU2hU2IreEJIcWkEYLWfMYO8y97RtmvAgn2E4LCvht4k6S8oQvOeB9wEA7n77uwAAlQr37fxZovvqOl+9Duu8o1P/X3tfGmzLVZ337e4z3+m9e9/T04iehITBYjCDsIEAwsQYEk+xwSZVtomHlO3yRGwnThE7IY7tsqvseMApk9iJqYSqQBk84YBJAEkMAoMwIASSEEJP4xvvfM/c3Ts/1rd2997nnHvfqIf09lf1Xt/Tp3v37t3D2Wutb33ranzzP3oFAOCqK4WpfcfHvggAODgvbT77GWLZnTgmlt6nPv13AID1dWmrZtRKY34/xOIrVIufnoOl/WKl7mNfNzeY/84YdrPRwmUHxTJqtGQgmNiAdifzztsygyDriBXaOSSfW1asrPq8WIybD0sWw/ENidX2OMtvtKQPtifLXl/GY4CTWFgQVvqoJ1bZuCVWe02try4rJhqJ2+cF2esD2W5j/UHp2+gkz3/Ic1ji+ctJDRMZj5ERazfdlr4fRsvda605VmrsqJKjjMtwWyzlDhnStZQeBarxMbzv1BjrNWl7nFHlj1ZLjR6YOuRc26yj0etn2OnKtkqaaVG9Milk2+0xM0X6kmuv/I1GTnXHoXhIOqxsmNboaTFyTR5bleWHbpVzfMXLJVvmyoPiyVqYk/txYV8P5jE5Rj6Ssd1ffyYA4OC1ko1zz2MfAgBQegKNVLwQrQXp++LlklnT7zPLw/pa+TvUvbj91vcCAA5fcRgAcPW1ohMy31nBxlD4KwevpobCcenT6qY8B/WWb2UqPwJWs1NU54BZHeTgGKMZBOCSbPdCxverR26Tc/pkF7e84tvl7wUZ4688eAQAMMzEM9ZmpczhJj1IuW/V16g4qs7L3GoNAXo39X0kXztui4ubJ6byHf8o6fo8lPXamJQxVI/q7q5bV7OhTBvz203SkgcWSiEk+v5U7wy/1+2y1FthXH0I/T0Jsh+MehhYidUVa0gwMr6mRJmUwPGgWqUqh2ofcuQTlRvPFucjrPAGAH8M4CiAWwE8DOAQgO8F8KcAXmeMeYO1tnJdzXcDeC+AAYB3A1gD8J0Afg/Ay9imB2PMzwB4G4BVAO+ETEBeD+AdxpjnWGt/6TycS0RERERExCWP8zE5+AqA7wLwf6oeAmPMWwB8GsD3QSYK7+X6RQB/AqEn32KtvZPrfxXARwC83hjzRmvtuyptHQbwO5BJxIustUe4/tcAfAbALxpj3mut/eS5nIiFzmrPbFh0QpgYC6uMVLXwdYIaaIWn5SSR+/rM3vKjHyML4WqHq665qfgqGMfVDua0upMZJSPd6ppsf/2NolN/84tfCgBY2icm4f0PCBv7yKMy3Nu08uYXxIr9lm95JV7+cvE2bG+I1fn4UbGibr6ZtQ/mxUr5+zulrYcfvZ8HZ5VF1q3X2XlS07x+tZTEmlmYE0u5njIuTIu7Vpd2FhcXsZ9eBZYGwNIyLZ62eCeGY4lvZ8xvz1Plc8iALO+Xthsd6dM2rd+NLTlWQQtZdQ0GVBasMW68sriEDuO4+Visr4UFsZj7O6I5MBzSku4wC4Ex4l5fvu9zaRiDVkXMrFBGPRURGf/PyFVQOYiFuTYMxAS+/JB4Y+o1GbtVqlnmWnKC1leHugXttvTpBLkWW9uqb8AshbbyaORgbY5TPvJVPZutBjJyDlrkMyTMThj05Vpo/YFRIefZ5nnpc6VeDNQzngPZ+i2teinjfO99Elv/7Gc/BQD45z/4TQCA6w8fBgA8evQY9pH/skUrvTuQMb7qoIxPZ0PG5/E16cuBNrkYTVl/cEVi8utHWSeEfavVVBlPVp86Jc/HXXdLX66+VjIUrrrqCpy6T853riPHXFmRe219u3yeZZz0haD6B/q9rwgYGJoOaq07rhP1Ir5492dQZ+rH0oFr2c/PAwBGI7ne/aFcb82UcGqubNsG/IayKKH23a+PoO++JK3sp6cRKMDaIBvBzmLhl53x11v/jzBzq+JWdUunwgjfgzD7mPwY1IdQj4Ae0Sa+Q1ylK0rvDr9IgBo5JFnie0zcbeDUFuWjMlJSk/LeOHfvwTlPDqy1H5mx/pgx5u0AfgPALeDkAGLtHwTwP3ViwO0HxphfAfBhAD8F4F2V5n4UQBPAb+vEgPusG2N+E8B/B/CTAM5pcgDIQ2d5OZXsh7DQSOC2qUh5uMI37r43Gk6YflNqSo1J/UmA3gQmcH/tfQLWvThqif+qSNzNOL0tPas51pS98RniZr3ySnF5rjPl7YEjnwAAdLMvAQAKIz+ST7tG0gm/7dWvR5rID8QX7pJLfM01QvZ6znOlpO6X7pH1H/34BwEA2zss1tPUHxoWA3JELKbycThaHXFVLy2Kq9cU8lLNmJ7WTOWF1um00GxqASDZV0s1J/yBGefyhRMt4RFbbbkI+5bFlT0cyY/A6sYG9/NT/QqmdppUtls+KD9UK1cuY/9+mTiNh7qtHPvo46s8f7lP+pm0PcplrPt0O9daSnrkpCDXgkQUXOIPsiFZDvy9SqjJum+h6SZW+xflfFXkJzE8HwpTdVkm2rCs7/4Viv+wz6coinVqVa77wUNybgsp0zDd5EoFm9TlbZHxRynn5EYrV/dZzMhCfqBh5Qc5G2oBJkoac6I7tnKCbd5ncy35cV1YkD6t9WX/9/3tXwAAXnCzhMRe8Hz5QX/46FFsr8sP8/2PSVjhsVOSTnjwGmnrwIqEIk5sSuhrMJJx2pfK+gNLkqL4+IJMrjY2pKx4WujER/o+5I/sF754GwDguqfL5ODml/xjPHZCUgrvvU9+kIdjHXveJ/SzO6EdfZb1h8f4PzgIfmj0/aHlxNUIqTP1bWjGuPvLMmmpdb7C/nLSzBLTtYZeTz6LQRph4X4c+ey6PobvPNVL9ic6tigqv+m+PHLpb9ZQqT8xUThJ4yIIQ6jL3xlw/p6lQ7sM34QEwZKsyP4XftiknHBpaMM/XceVdOcdpK/rsqaMR7jSy3rdc51YKQHdRXZ0zEkSTtInjXwyo3WoUm2/lcu/m7L9RwH0ALzU6Jtp730+EGwTERERERERcQ64YKmMRhgxP8yP1R/1b+DyK+E+1trMGPMggJsAXA/gntPY56gRX+vVxpiOtba3R78+O+OrZxoDmHoKUyhJJZyVq2uKH13MQNuupBrW/NlhEpY1TcoytkAZRlDZ1JwWgZu9BW5DBO63KizlfBMt90q3YVHzGTZOxpNTTZWsXblMCHzPfJZYRu2GWDefukdSsx54UKyczIq1n1Ke+IYbJdXxhhteiLvvEa/CGl3Wr33dawEAjZZYkR++7S8BAPc/8A9sg8SzhlojOsvW1D0SdFi6dmFePAWtuli146H0YdjneDbEckzSAgkFZHTi7lI53Yxf5U05Thy/Gq9Nxj48fpIFaSh+pCltmrJVZ9/nWMhn5XLxliwdbKLDdMjUSQuLhG6XqXtgW6NcQhybJLMZSAgjZUGdPJdlTQVpaKU3WiQZUiRo2KWwCi3ypfmWS3ta31QpZvFGHFgWT0JixQPwKOVy1zbk+i4syX5LS+K67zAktL4p1zKlsJOlyFR3Z4N9l+3VlEnrdeQMd2y7UtvStqY41lKKODXUk8aCVEO1L1hGO1dPA8txN+V+aHfE2u10pA9fvkfCVh94v3gQfuBfiKdp/75F7CeZ1VrxDD3E0NZVLCh2xSEpUrS8Lvfw8XUZj4P7xfJvJ7Jde06u86lTsn+NCkT1jj5hci8+flxeZx/9+PsAAM9/4c24/lpx5d9+m7wi104+JGOlvEM1EUOCoZLjnCIPnw9+cn+46KYvDzwiiTSt1ZFRrKpH4bAWS1HX6a1y7nIWEEq1Ee1aos9sSTBk57leQ0Pw+qCehhwVa9uVrvffrS6sMINw6N6Gie95ULKt2855AQLzHpNkbTuRRun327iS1T6ZPDgVh8SJJGkqqL6PfVEoW91XnS06loFnWQX7UvV6pqfvZN4LF9Jz8FsAng3g/dbaD1bWL3G5OWM/Xb/vLPZZmvF9RERERERExGnigngOjDE/B+AXAdwL4IfOdHcuz4RRcdr7WGtfOLUBYz4LmBc4vUpUCHpKjtHUlKByhs7UUmPK3RNfjMQRBlN/Bu84Bs77QLKcXhk3C/RTmiZNhBJajKWcyeZTt6y5Y7NP9Cx843Mk7e5p1wrn4LHHJe79pS+JN2CT3APFZQfFGnvhi14NAMiLFJ//vNA/BmOxPq68SqyzT3zqwwCA++6Xks2NNgspUUDGlaZljBnBeBRj+WN+TixFa2W7nW2xJIcjsdIWWJa41U5Qb9DqYAx4TG6ACs0oMSrra2BS5WDl+5OUcM5p5WccyZSyyVSoxcGDMjdlfSMsLIuV25hrACxVPE/C3DqLOilJlJo+GObSx1pTCyqxz5m0pXHs8sbJeZ4yDg0SOUcdpi1SunhuroUahVQa7HCfOXpzc2Lpdtpihc8vyL5Hj0uxojHJgSoO1OH2LSeOJO01KKOc8RpoKvDKCoWami0kdTnRXk+scORyXnV6yuoNXcqxUhYK6lIES8cjt1q6WT7XU5aq1vRjPmfz5M/cfpvYJ+NEPs/tP4xOR26SgwcldfHIo2LZH3lYHJQHD0hxoiuvkLZPrQlxcXtNOBf1RfJeFiQ98mRTvFj5QCzwjKJBc0wdVQtdxZFuvfVv8Jpv/34AwPOfJ8/aBz4gxY5SI9uGFqK6v9znRK1ORwSQBfgxyIVTK77kA2So6WUkLIXEVKK6tGz9mLp17yxMh3sv+nyB8kC0epPEkTedVe7kgGW9pjiWHgRtImgz6IsrcaxW/kRBu8Tbsco5CL0Upb4QPZGBRr7r64y+KFfN+71ARc5eBzap/B6k/jgon6PcRcer4hU+T66D8+45MMb8NIA/APBlAK+y1q4Fm+xl5S8G253JPltn0NWIiIiIiIiIKTivngNjzJshWgV3A3i1tfbElM3uA/AiAM8A4MX/yVO4DhJA+1qwzwHu88lgnysAzAF4dC++wV6w/IfAqi/TbOD9Uav5cbE0KWfXVtN++DlNgpiWGn6Jv1QaqsbxXGENJ7usXZg9Ozzd4iPqYRhTJvayQ2IJPesmsZiGlMP9h7tE0viRR0X0JXHpVGJpvvjFtwAAnnmTyMLe/+BduPseyWjYvywW/h2feT8A4LaPSWx1MBbvQ6st5zvOGL9WGWFOjWsNlYnluRk55gKzFepqKecSY84h7bbnZIfOfIJxLnNLyxh7Y6jkA8YnC43Bq/dCvm4yjj+i1d4fMwuE/IHOnES+WmxnZVn61lmQ8Wy05ZySNEXGFEblKYzGekwezHkxeL4ZMygyLYMrx27UqzxdoN6os6+05huUT+5J39VTkee5kzdWpnuD5aG1C5r6euVV9IDsPwwA2OlusS9ynp22HKPN3FCVcm7QK5BY5SGL1+LAisTmiyTBCu+hxx4R/saYMs9NadJ5s7SoVbtNS78tVn7K1MfhUJZ5odkplGNuMAODqa41mmVr9P584uPiuXrW82/B4WuEynTgkFj+jx5dYt9k2ysPCbem1pBjDLti5+zk0vdDK8I1OLhfCiwdn5c03Z3sAY4nPVLM8mjS/TWgB+pDH/prXHGljM1lB2WsFpdkINZZPntuwX9F28BqL9n7Gtcn/0OfUWfe+xLH02Bc5oMv1R5mCqhFre8B9bwVufW2C1GunZT4DbMVAtpC6a0Itw94Dbn/eq2cG48cCBFNG5EJGeTQOeF+CHwvhiuSx9ML+1Imb/jeAHcNKxpKs1SQVdo+HI9qX84T5eD8eQ6MMb8MmRh8HuIxmDYxAETLAABeO+W7VwDoALjDKrtp731eF2wTERERERERcQ44L54DChj9GsQT8JopoYQq3gPgtwG80RjztooIUgvAr3ObPw72+TMA/wbAzxhj/qwigrQfwFu4zdvP+TxgKE+q0zZa2G4m6cfyE39STma1zzxNE3+btOYzel28300vlZugMTBt258Pzpqd+/2d9T1j6kH9k4UFsVrGtLC/eK84ae6+T+KgGcigp4XRrkkWw/OedzMAIE+FKf7RO96LU+tiPW33xap815+LfPKA8dg6rTEtsNJs0SIuNG2DfaQpyXAtFtriiTiwIlaaSaXPuZXjmTo9BxSVsaaPzS1hwBtKzNY6LJ+sgX6oDgKZ8WMdF+nj/JJsNxr78b5aXdqZZwx+aZHFnyhUNFQGvklA4xG9rvyxsc6yvdQrmGvrNWMhHasFdVSGmxwMqFKR9FWLGtVZwKfOUs61phaVks/jwiJ1ZYDZFjM/XF66yuEy7t+hRwDUnLB5m8ekdHNrnvtzM8bzFzssSDSUzzmv6XxnP/btF37K449SJjqjuBMtuiE9BtSRci+oJWpNtJkJsrEpGxj2uVGX9uaYxbK1Rs4CszzUW9LtCl9ga/Mk2s8QXY6rqcHxtftF0ntzQ7gH9z/wMQDlfbB+gmz9FWm72boOALC8fDXPSZbb1EVIKKEOak2M+cjOzUlf11YfwXv/4r9JG+RllIWp5MxVDyNN2ZZzGegiyOtX69/F2BPvs3qmpkLln/WdZH0LV/9QekMSejF98n3ZbPCXmWaTBpoIpS4Bj5FqFoLPHSgPFvAanGfFH59ZGi/V9A5XUjrwIJSFkvRzII3v+qpNqkclOIR+dAIIek3KDArdNPd/isoMujzIlHDaDJPHOVucj9oKb4JMDHIAHwPwc1MuwBFr7TsAwFq7ZYz5l5BJwm3GmHdBlA+/C5Ky+B6IpLKDtfZBY8y/BvCHAO40xrwbpXzy1QB+91zVESMiIiIiIiIE58NzcB2XKYA3z9jmdgDv0A/W2r8yxrwSwL+DyCtr4aVfAPCHdopZbK19mzHmCKTw0g9DQiJfBvAr563wUgIkjZqzYpw2QRDvdwjYuokpZ7g6shqPc8TWgK8QSme6eZXSbGd4DiZLmZZwqoszvk/Yds54bJPWWLcvVv2nPyslZnsDidWv7wh7u8nSx8OebL80L56D1VV6DD75NwCAe776CTRajH0asYR2+rTadTyCTAktFFPSs8nVYJzWMt69wvj1YUrQbndp5j/CvHkqI47GYr0eP/4YhsyRb7RYGEiVAWtijTZY/Ed1t7QUr8rgGpUpY/bCiAz5jDHWlHRvlaHt83gFrfx6ewHNBq1sTvHzQrkCYkU2mFUwHKsmA+Wj6Z2wGZXzOH5Nbr+fcrvzTM+o0ZOiOgF9lmfu9gY4dEjLO8sxewN6azSjJtUy0Sy0xAyBZlMtYPEEKMtfsxvGY80Y4PfkkQwG0u76OvPnOwcx16HcdY0FqAYyZoMeizdRyS8j52JnU/gec+ROLC5TO4FaAoMuFf/oBWoWygfhNSZHIR/J/bHTleXx48dQo1fluc8Xjs3qYxIJ/eQd4oU6eVwUE1N6WoY7cr5bqWSaWHsUAHDj06XI2JClu0+ufornv80+UBKb903B564z18Djx+QYp9a15LJcE1ItSslzO517MOFBoN6BDd4BjoMw9ZXP+9iVg9d3j+4jcJoszlrX7K3QcvbfPK4Pu3Chym38onEue8F5AnRpvGXCcyiCokll+phmaezeA2nP10oI+6AIPQiOb+bWK19I9/AzI5wuRNAH0VvxvRWZO3F4fXH5EnpJiuK8cQ7Oh3zyWwG89Sz2+wSAf3KG+7wPwPvO9FgRERERERERp48LppD4ZISBRT0ZljNgHZ6A/l/WPdAVagaX8X7N29dpo7Pm/TRsN/UzAQdBtbJdmVDtowvvzZ4fJsE++pdxs2NZq8U9tP+jrliZjxy5i+tZ5Ih5/4ZW/NIBLQsrHoOP3fHnAICMOfp5tqWCf9B5cY3xaBeAM6b6tSvm4ngQms9vNe4v1uo1T5Oc9MsvF4Z5n8xyuBoMYr2dWn1Yvh+uIaFFv7gslnOrK96HOrkChRZ5osXTqmldB2YM9GhZ0RvRZvy33ZDxajTpFXHFhCSOXrCEa8sewgJZ5xtzEo9enBddf1U0bLYlR16tidQwVg6xTgvyGPSaLi8JQ/4K5ugf3H+ZnC/72FmQPm6vyR47O31ccw3LHNeZtcHlSGsZaU0Ro0Wd1LPAugaqZzBHLYYFelJ2xFofQTxJliqFSY+WF1Ue20kXK2J8o6FKkXy2BrwtMlrzCbMyVCuAtBE01fOQyjEzem2KhNcilXGo0ZMwYK0Kfa7a9JoNtj+HtZOHAQAvevbPAwC+8QWi8Pn5h4Vjs70pHrM247st9bgNRDHxxAnJvJifl++f/Wzh3nz5/mcDAL760O1yLKo6UroBuVr3WQ1N9VK5dwyLf/H2Vw+SE0qkJ66sb6C78R527yK1Zr2PSAq/FLBJlCsFFEVgVmvKkMJxCUJ1QbYdeDNCON2A0Etqy12Uz2Sc43QiVYBtqfaM3znNCtMMpNwF/H2u1yzNBVtkk+9ap8fg71KEKQXO66H7a10L9WYE9SLcSQcEi7Jsnzs/pygSUC10TPNaVn5/nlwHF7q2QkRERERERMSTDNFzUIExVOLLg6lXECcv/Ml5JdaWOPZ9qB+eKscgqKWg+6p6nYv/wo/3ldPZSQ3wEEU444fvvXCM58Q/hmYxNJxQd+Lt32oqO1/iuRrn7Pclb3swEEs0TYyb6oZMXceWDqyHUsnMXw8q3i0vi6fg8GHhGij7fGNDshOGQ2YkJDKDHg3FkuwPd1CnBkB9Ts5jp0c9/p54I5S9r9UaG1qLQT0tarXxws8xIEwJB8wvyPpaU/PZyfbuizW3b+EADuyTjR9/lDwEWu01cika1CsYDwMOBpHQuqjXZf2+feIFOXBgheMj2Rlb/YTjwWyHkVqQqbvH0lRPSMtj01rnseoc25zXquBrIqcFpHwGLeGrjGnVbmi25D5ZXOK4c/9Op4aVfcqN4L0XKOEZHlNLMVtmiAyG4kFYO6WKkCvcgZkkOUt1s95Bk9yLcUO9aIzp80CD3hoeeEB0DI4/84iM5eWinfF0ViO9+3OSYaPKmW16NXJWjHz0Ednvaw+Kcuh1174cAHDD08Vz8PgJab83knu03qaCpMb4i8xlW9jU1zeZqC3gHnefna51Pdy7SBnw+pJyz3CYs6/8AQCOW5V624awU/QJzgQzM6+mHG9mTkEY93fcpdT77ComaMln1Y/Rcsyl6c0+cPuKubwbR0K2DT0t/r2smgqJq/fAc5hwWijXR7dLXI9cJpyr48C29Xz4OXe8iPNn70fPQURERERERISH6DmowMBILvgeWQlu8lrz1yMBUs7c1EBOXLxeP6vnwGe4pjUXZPPaTGYwZXerIpE4lrHPWHaWgdY859J5KRJl59NitBqfVEU9YYq3qIzXooU4aIsVvLEmseZBPkBGDatUa0mox0TPPwialn11JiQAIM+oHDcvFuHSkix7fWl/a0fivzZhUJqxec25l2OqNS37DAYS7lf7jAAAIABJREFUz++TIV8j56DO+L+zkDlwOas01qkAeIA56XNN8UCkDVYSbElsuck6CjXIOM0vzKFFHYcGmf+dORm7ESsgZoVY8dZS14CWn3pe9Jo2WswImJdr0Z5jzj31+5sFeRFUccQ8rdUsR7+vlQwZ12b+fam5oVU8qZnQ0Bgq9R+sH6+mLARa9EjU6TWrOTVQfqaH4YorLkOjzswGZkyoNaXjo6URtDJm4Y7FPpAgkVNRvU5uQq1BPklNOAdNnn9vKEuT+vVFsiLBGu/Xk6vCA7nqaXJvLS+I7kGNau21But/cF8djy7vnyMP3Q0AuO7wNwEArrnmWgDA/nuEFzI+dZwnFSbvlxatE+7L1SJkLFk9j+phq2ttFl+DxQTWqT5XobVaShaUSoETmVIzsJdVavbwLIRxfsfyt4WrO2D36kQAvXfd0Lq2Vb1Rx8G36vX94rwWFf6YWvxF4Pac7H/QVx3HoCZDmWjgCGOEchBSf7215f1g/H6X5RfIZ1BtEo5lXtnnXBE9BxEREREREREeouegApMYNJu1yViTM72D2a1avcpJSMptHdcgUBFzVRlrOuOX752sQVJpq3ro0G2xWzzMTZ99D0IKrQ6n+clqtXM394crLQkAqDnrX5ZNxtwXFoV7MM+yVyktzo3uSYx9krCLV4ZcjDDe6PJ6aTLWmUt/+aHrAQDttlhzx45KTvoqqxuits2+ipVnxlRBtKVHJGONhB4tvuY2t6F3RxUEUx6TIXmM6XGYq0tcf4Vkg16HGgJDiXebOjMMaAk02I61BTY2RZkvp/rk/EKD50lNgJHPplZPksbeNa+/Sd5HSxPhaRnl7KxRq58W9Yj35vHjxzA/32Vb9Iyo6B5V+GrMwnBx/7p6kGil5MoIZwy+SW8FMweWFsUbUDOqXjjk+cu4zM83kSbCHbnsMlFKXN8Wqx21gXfeKvSntRXarDppjXJJtFola7IZuQb7luihqUv73b60nxnJWmhQgwGjmvMc3PeVzwAArnra8wAATz8snIO7PiuehO6m3GNNTd7IyIOgmuPXvibcguc+9yUAgBtuvAEAcO09zwAAnFp9SHaEbK/jnZuxq4ngdAw0Xu1qJijvhddZBRBdvj/vG+vH1MsXET/yeVIFRRd7L6revN2xG89J9t/d1tR3gG7nzs0kpdG8Rx+c9oDuy/X6XnGKgQG/SpUiNcMg1DAo20mcx0vhKkIGXK4krMro+qhrjLfCCUk6WYjE+169hdaWr3AnIeGa8n8AHH9BPdbY+zqeLqLnICIiIiIiIsJD9BxUYYCkbiYCWG526ZbB7FSnaqlxCnhObUyzDyayFTR2qMxvvy2T+OxljcXrRDHdZXpYBHFKtyljaK5+u1MX0+00buWfg1q340xVD+Vzi8qKDeaUzy+IpbzYbWOTGvZ9WlcjVt9TrfgSOpb++enQturilti/IvFbnb2vbkhlvO7omPSZXIN6XWfhek4WcHn7crsPyXwfjYQ5P+iRVa+Ws5FjqgJikrFXjFu7LAbG4LOcvIExqz9aVUykvn9aw8bGBsduzLFiRUTNJOmrih69F4kq3pGd3/K9NXWasWPmrXeHPZ6Tr9Oec7xPbp7A4qJss3yQcUqSKnJaLlrZ0cW7eanUOlUPkvatSU7Cwj5eo32io2Aaazy2jAcFI3Fq9RiW94nn4GlPE+v6MTL6u0Nh9KdaZbEp12ZxTjxF7ZZmCshYw4j3Z2dIL0UinoOlfSn7IvoPjx+TPm33pS85NQfqjTrGFFf48j1SdfS6G14IALj+OuEOPO0asfzv3lTvFLM7VDMgF0/JseNSQPbzX7gNAPCd18q5PetZNwEAvniXKLurB4plMGBM7rgk0LHWyxfUK3AS++RiWJd072cjOO+fq7XgNQMTZCgBFT5CUBSh5CL4uikVtoK/Xbknt9N4v3pB/Eyrqidit1oxsoHPzjdOSZX3Od8LqYvR+yQL995M1YPgb6dejaIyBuoZKD0JvqcgdKQEZRBg6WHTapUTLzd36QJemQXywr9+ziNUDj4PGl6D8+U3iJ6DiIiIiIiIiADRc1CBMWQD01IujMaBdQNZuBzaxJ9Lm1pSmcFpjF1VCGWRBpyD0lMAb7uyqqPvpXBqXaFcV/U8Am1vF9tS+QJH0FWzwkW4AAD1mubDM/ee2vkFa8X3ehLfH2cSg9+3LJZjkxJwi8ttLA9YHW97k/uItd7v9dgmPQlFRdkLwDgX6ywfy/oOK9jNs2LkIBePxPq2WGs5VRrrWrRQL5YTfzTOgtFjqRdjNOx7/VYmfI+VIzVOWaeSZD6SARx0+95yzEyDVPPFWcWwqXr/zUZZfbIpbS4usaYCPQKLY/G6bNS0aiP735f95llb4MABYeMvLMn4FrQ8T63LDuO+XKOmXeK4aD2EBhpNTa/R+g3kRrCKYoODmOd6/8j5qLdHvR7FWFX6ZBz3sWrl4oKMY5/mr3GeFV77wRayTPrfbi9yrKQPpEqgwYyJhY58v7Ik2gN6T44y8RCMc2aejKXtvNhiu3ItFjviadq3T5a9TBQzkTLjouggpTrh9qZ4n44c+TQA4BueJbUWbrhBPAAPPSKeBUCyDuxI+qw1F0ZjOfZ998t2N598NQDg8GGp8rhCjY6jR+VZMBzHxNhK7JwcAN5Dznmp8W41NgMFQBtmKaiFrVavU/Hje8dZoBWOi4trB/wf934I2tTvA1dCqcDqc5nKegCBG6Oy3V6VZF12ge4TxvU1uyl4/zoOgm7tziFne+o9M95679BOG2F374b7Xt/hOq5J8H3ZMtvnblrF0Zb7FoE7onBVNv0vSi9Muic35HQRPQcRERERERERHqLnIIBJjOMDuJi9m9qpBcpZW+rP2kxajafRunDcAl/r3PgJAS5YqLNUzV5wuggBW3VmzrEB0oC57GKDLlE7WB/k5ea0+LRvjZZaBDKr7vYlfr62QU/Bfq2EJ5bUwvwC5pbEct23X2K+gwGt7YFYnZpzP6D1PqS64mAk65uZWICdjlilO32JSa9uSC2F7aEwwE2NmQdks2siRqp5wEUKOD1534MwpKegTS5FPpZj9qi2CKvkDGYGMEY/ZKXDPitNDmlhN3hsVRhstWRcarUaUnqKmmT4p9SImCMPwrIuQYus/dU1zc8X78yBy6QvyyuiDNieE09DRq/G2iYzEdiHFjMpFpdk+1Ejd7oFei9qRkOrTk0EVorM1ZsTsLbH9LjotRv19ZhyrCKTvmtWi3oedug92tnZwBWHtIoij8nrNL8oHIPleenvQks8DHNNuX9GvG8sK12654nHGGdyH4xGwndor0h2y8GDolmw2mX2Br0gCRLUW/NsW+7nrx2RrIVjJ14GALj8Srkm+1dkuxOrR2RfI32vp1TYpGLiqTW5J790r3AMnnfTi6SdyyXr4dSpB7g9vQPIUbgsBZ5Prh4BvVc5TM5UDngBRaD8x/Wa3aA1+kIBRc/q90n1FW7BdK9liL2+T0rygrddWb3QlF6KszR69RjuVRZ4GuwMzkK4PrOp26fMbFBvrZ/ZECJUPnSZWapZMiED4Z+sU8VEEVJJEPwEoXDaNFzvWjx/+QrRcxARERERERHhIXoOKjDGUPNd9QsC3gDNsjxQM6zyBFQhUS2bUhlQ9/HjUtXYuPRBPtdq6nmYNQsM53XltNQijA0m3iaqrhUyW03APVAKdaLpDVZnwPL91o7EuY8dZ9U+K1bdysrVpYpiQ2LrnRa5BLSahuoxINvc1UIYiQWYsS07FotvbVM8Bjs8Zm6Ee9Cap4YBiznUrGYIMN5tChe/dbNvjdOy9J0lp2I8orBBS/YdjKiMyGvXYIxa8/pTjakz770gJyFl7QHlHEjuPjMCqJDYouU8GmtGCCtH7pN9rrhSLOZ9KxK3XliU/ecXxFqts1rfkJbmaCzfd1ijYWFRPBOXk6OwtTFEmu5wHPx7M89UKdM3IUuGu6zXbJVxJh4ErfeQ87Oj0fB+UVpMnxyOfr/v4vwHVqRf1153WLaV2wTLTVZdhJy/Hcl4jMm96LNy6HioHgR2mWqP3d4az0W2X1xQ7oX0VT1XqWnA5OSEUM9hbVMs/w9/5K+ljZz1KrokgNSY7cPnJxuoDoick0nFg3Dn524HAOxsiodlc1POXy3HJC2fL1vos8VV+qrhJjl8j4HxL1GFZU8PgXIU9A+1oHM9uG/FI0Hl1RE8KO4G0PWBlkLgajCB5yDMSjAupk7LnFZ7YlL3TBaBXR6+owrrW/PuW93fWdyBGW/8d2LZR18pMTUZcvXGKC/B1UjY3SJ3jjY9X8fzYJ+dGmxQWEfPzXkHUqfO6E7H8Rdko7KFxFuiKBUvzxXRcxARERERERHhIXoOKjAGSJsJQgaocbNtsrADPW73dVLhJ7h1nJFq1kGgmOjiUo6TwGPSSnGT1ZAZHKzX2agxxtVEmJj7qRfDBSb9r/VjLUidKNUa9bPWfxdr7eSpowCA8Vgspe6gh+WDYhkuLgjrXPX6m6rg15T1rYxxW7WUaM3nVpnxtAgoudggz6PVlJjy6pYwzde2xZMwYFwcrMqXFHAV78YqL8fsgoZlRT8eq05vRYOehAZrJ4AxZlD/35ARnzNWbbVmwZjnQDa6DvQ4LzBm20WdVRmbzJk3YjLnPXoZ2MfLlyVOnVEZEU3WgWjSS0NrNx+pCiFPm5yFzpxc68V5iZundhvDTMbIKgcjW/D2HVPBb1RoloFaOrT0mGM/pnZFt8s4P7MXNHyeaa2KeSooztPTkG4hZYbDVVdcDQB41jeKpsCYGR7zrJEwpKdg/aRY7Run5Dqv96WWxpiDrbohei+ubktWQjeX7RYXpb1OQzQLBtQaqLUGsDW5b4tcX4NyDY48+DkAQD7W7A45v2Ztnp859ska91PVQTmH9VXxct25+kH5moqZNeokOGu1aCLnc5u6WgiaGx/EyOEdqrQYx+E7KrTeafWqB1KfgVJS0PcioLSiK614fVOeR5L4cf0wC2rWUjMmvOwFPv+1QHWwmPBGKLdC36f+SzihZ7KUFAji+rN4E1CvRg2p8j/0fZ8G++o10jb5VyPMKHBQr0Xh7Vd2SrfiuZmKd9MNkfGW8LsCk2pVSoPIOYiIiIiIiIi4IIiegyoMZ4kuZiRI0iAQqJsH0/paYsrqaC6+rR4CjfP6PIbye7UAeKSazoxnqZMFXa9kVphixmUNZpuTc2idlfoMZ+VLhLwIp9rI2Xp/IDHXwYk+tgdi8e1bktjx3JzEb+epeKcKePUaLWbmjDtrRGP0jK0nTlNe/ugxY6K9qlX5ZPvVLbHmtno6S7duDAt6JdSzkqNkjQNUxwTQpnejTRZ/msgyoUpf0qbV2mAtBXoalMuRMwd/c1syLEyROS6FpWWPgktam2p2N2l1z62I52BED0G3EEs4c1X8GPd2teC5LFSRUvq2vdHn5z5syv5yMItMjm3Z35GVPg4Z78xHzGpQXXrVuyD3oN9Xz4EcQ614y/FbWpZrnqQHuRxgm/H7xUXRH7ju8I0AgB6viarJba5LhsN4Te6pXibXdUiFQ/A5crnkVMFc2xRvwGbvMQDAoQPimVheFO7G1pZ4FmyyATSotUGNCZNrrQ3yGXitLDkldiz3qnsv1PVaqieAvBe9r3JmvTghAVqiGlwuEsfbsAnP35Xh5DOX6fkFWUvQpv33hsug0u9dINxXBjT6QCXGeSeDkHmZ7RRkGczOo1fXQ+jv8Jdl37i0tvSIunQKbdFXCiz1EPQ81aL2ayXM6uGsTANdnxQJrPH7oO+5vFCvhA32ZYZZcFrufetepL5X2XkglMuRl313HgP9w/0G6b3mH0NvKZNg9smfIaLnICIiIiIiIsJD9BxUYQzSWlL9KEsXz9MYmy81mFZjdpp3GnAKXNYCrQcnnOi29zkHagGUDFk/k8AYPzZXRapWAcJtGFfLC+/zxMzeTXUDSyGoYKbV+3S/wYjs/wwYMbY5oCbA/JxYWTtzrNBHD8IS8/AphIikJn+kRqy0eqocBWYh8Fhaz0Et6T4VFXfUsKTWvli50uNGTdnDtMqg28pfTeb9N5rKPpdjqTqfLvWaaMVEXTpdAFYOXF+X2HORbwHkIdRqsk3G7AKjrOTU916kdT1P1oOgKp+qF2q9C1XKSxP/2o6YBdI12zxeF2mTXIq6qsPxevF+zqktMWTFQzoUkJECrhklekyl349HrFfAezZtKr9ELPL51rWy32gOWzvi8ak3xRujVRdr1HNQ1cruNpUQ6aUoHGOczwlvwpxcnoTP1ZhejM1tqdp5zVVyEvsPyH6PnqCFnqSAFU9BYbQqp6pr8no6q40cjdBMs/oQ+9a50yxw1p9a7dxMbfTClonrQbaCWqn6PlBvn2a1pGwjd2a/PqvcvzTF2bzyIvQZ5/oidZZtWalweqaUCTyLriZAuH7GeyU0aUsPQrneiQyGZWn1e2d1+2MeejNnY/fvTVKqVuq2RaAtU9ZaCK5d6LUIeWG8tqUfWnkS2r5ea1O5h/Q7/e3xhQ1K3Ru9zvZ8OQ7i5KAKg/IHAShddWni/zBP/FAn5U3jiIbux98PH7h5RLXMM8oXU6mCabz9yywzlW71nT5ekRPr7zMRLpiYWPh3cRKsdaSX4K4rXXiVmxpyeP2hVJEjbUMJYUMuM4rSjDOZLMzPaVEflujNVHCKx+SLu5ayyNO8SNMuLtGV36WYEn/o+shdyqIBZYL5Yz4/r21oyIMkSQoUaYpajeeprno3OeQkrMUfw7G64wsKPGVMgctHTrq4UKJlpqV6mR7HHyA9z2Gm5EDKTav0M8erYDGoBsepTRnmRkL5ZKZMznHWNeyP3UTKERJtw/ucM2wwoLhRf4Oy0Ax5DJmSqH3XcR0ynJSzJHarJtcyMZwkkHxajOdcNafukEWq6kos5BhmMnkYcsLR07YZdtDnRn8b9He54MNakPD4+LF7AQDzDGeNcplspHWV604dWbjm3Pzg0jHEeB5+OeXyWSu89aFL28l2q1QxfExzz9twnuFSE9k1R6olyS0NSjC7yYIsXc0fR3wOydS5CzVouWyXFed2Dt5doQPdnUf45pg+KVCUP7YVYblSFY7fhbODMGzip/IF9aomjzljfWkuWbe3TqBcm26ilnjfTxiR2tXgYJoqrOmaSVAcqypDbQv/nerGIyQm6rdVwy3KJ0dERERERERcCETPQRWmdP0ApciLmidhCqMTk3FegbRCDFJ5S36nM3dXwllTD7neeQp0el7z9w+ERFyqSyBFWtiinIW76bP1P4ZhBDN9Fhqcbrn3xAqesqbipBWSDTfJaDHnI7pD1epkGtyQBXRGTJfrtKStdl0sX6vlhTU1q67nr0WDxAvQaMiyxWJK2XjkrII6r0mHRX0W56V40dKihDaW+DmpMQ3SaAlnOVafssojWsiaV5bWmdo5Tr1zAL0CJjXIoWI3ep20/yx2RQtardbejljpvUKOOSxkfMa05mpUDaoztKOeFkMpYy2nvDgv57Jt++hR40lJbxmt8z4LaQ0oQTym1HW/z7jCiFZJLtdKUxr1+Rj0xAuwvSmkyTpLd7coaV1vkKiZ1Fy4I7NyzJRCW0NKUe90pa1NpqZqESwtbmW1tnHoqlXXPe/ZzR3py/0P3Cn7j3nf0bNgkqTCQlMLmR4RFasJXNuJ1Tb8e1vTCwu93jbwzAWut9IjN8UJHFiRuquzq92jqaGhagpbRWgpMOadYa7f6/qk/LuML+ix2aY6UtRr4wjLqbe9CYSGyqXfbnmO7qVYlkdG8F0AvecKZ0lr0+5icrvp+xdBWWrXrjtsUbrq9b1Z+B0PyaFKmiytetep8A9UdwzlqU2FbFhGD3wCYtmSP6Y+iTR6DiIiIiIiIiIuAKLnIERiy8hZEswyK9wCWboNuSilK60r/enH4UoRJJ1tzjiG247LUIo0CK7p7NbATJRzDrQ7EE6ey7YDIiLODNXwmCNgum9dzhmAUh6522e8m5/HjEnPsXDQPhbicQIiiVjMhjFXbWesFZd4xBo9L+3mHBIWjmo3W2xbPAdL85JmudgRj0GLsfEsiCXWHJnUL+fqCFvOGnPBR56TWpIDmFytUiW7adySVjzTCDMK8nSHTBNk6t6YFnNeBKQolYBWApteXH5WcSCDwp2HyiX3uhKHX18XKz2HlkMmd4LCU5p1CbalFnRD+RH0qKjnYOmgXLOko4WrBDbJkFJG25DcORjLvlskIJ7aFCLhsVOSiqipj1lBsScncwueF8GLVTPK7VCJbxFPyrIgPuzsvQqDKPEtRGel5poWqw+jtqWyuDy/CcleNS0dewwhnOdP49H+YzLhOqjX/HvMWZS8NzPV36q8k6pdSAKCYwrjUvGc8FKRePtUBsjvXEhInLDWQw6Cfgp8C3by/bYXrXDSeanxe58HMen13P2tZkxSeUEGFyPwfJRn4a8ovRhByuPEfeKPW1XgqUzR9bloZQlnFeiaTC89P36D6DmIiIiIiIiICBA9B1UYWoMBpyCMMbkiHhr/dtZ81Vjw+QhlASa/rdBD4GKBqT+TLtv1g5KhrkZ1Fu5WWX/mW4bzQo+B7hDMlE8TbrxSlCI17rtgW9c3FmIaSUzd7pCVn/W4AQvl0IuTtsUqTRnDV1Z/b0DRHBYBqpM3MN/Z5xj77aYsW0yjm28Lk71Ro9gRMyGSREs86zXUOCatU80s4fo0p4XM6X49k+MURZ/LXCPlsGONIerYM5ZuxEIuWAwop6jPWD0DpTsLAJBlOm6UZSZ3o1XXwjTKYtcUQIuaVTEXpn1S/nhjQwSGCrvJNtm2fI2E56fHyBn/16zf1BWooYvByrVLjQhdaRGx0XiE3Gg2imy6vSnHPnpM0j6Prj4EADh2XMSMtundcBK8oTkTxHXr5GIop0WtOGaplurBSFHQMrTMOjFlZSRZaqJMYPjns9KLbbDW+J8npNXttOcisHiDjD7nGHJWrc+1SJ3XQ/vkexhcFpSeYgGEhq7uC/JZUs1C0mXImJ84Cd8SLt8z/tJtbszM72aawRMuAX0X+1yESj7p9PYnms1d/8u2/IC/Gy516rj8y+DaBekKjmMQkrlcuWm9x9PSC6HXTxtxPxD+u9va6m9R5BxEREREREREXABEz0EFBkCSJpU4f+ULVCd6gVRn1UvgPAKmXIeq3oEeLbD8w/1S/wu1WsOyoW7SqjFLW7Zd0ViVjy6eN90zYMKZspnuOgjlVMv1/CMpULjypL7nQ4V30kStdLZF02eci9WZDbd43tQB0Fk5j1lnFkOXRY+2u5TXpRZBg3LMiwvLOHhAhZbEkm2wKJNamchpxmq8utHVM2IfmLXAx6W8luQWOHqJ/DHKha1PgjyyolvhfSTeUhnyGYtWKVVFMyDUehkxHpzxYEku34+H9DCMxGqvc7zUch6578dOLtodk16Hfl88HIPRJj9TNngoXowOxYy0THKmHgJ6WDTjQAWeUlB+GMxI4XG2e130KZS1SS/NqZPCU3j4oYcBACe2HgFQ6hsgKEjkCg5NuMwEWUaxKHoBajXyJIK4ubD89d5UKeuyeBkAdw9bFc0qvCbcc1T2yRclMO4ZVz6I32VrqtF33xsxixGvHqFSUMlvW3PxnQ6KimxNGJMVfhFPzKquQeAZLWPlXBa63j+hUsLYtzlLMSV/6cXJw2JMsxA25dZrX9RjGXIYrLdZ2KCtKB24jDB3LPW++MJjecBJMDNtbUrm81h56TZl8+G1T1xbTmsiuD8QcEfK3yYzOTZnieg5iIiIiIiIiPAQPQdVGIMkrczmTWjd+3EeZ+WbcgboLOSAQ1CWZub3OuPT7ASykG3ixxInvRg+58DBEamtUzwLFbomlQ5nZEw4o8wE2webTegjaKsJkiKwItwY+mOnHS+CuK0mBvSHYkFu9ZRRT6Z8Q6z+wUA4Bt2BeBpK2VmxepvNOcwxG2FhXrIRGlTjs67GMLkDjLGOgqwEZ0kF7OtSOY3706OgEtwaa8/ytLT0jG9tlNeRXALNSgiY8Bl5AmPG/Q3Z+8pNyFV+uSH8CVVh63aPyH6DHmpNjSWz9DQtfUveRjEgM2LE+KWOpcu8ocWkBAoG4xNmNVjVP6jX2WdpZ5vZDKfWjuHYyeOybkfW7WzKdVs7Jdd3TP2DsEy40zcIg/DwPQtaVKrmnkn23GUFlJkGejVzKme6e1KpBy7GDm+pm+XBeqeLYPXaaYaKbuDv4D3BemhV39Q+6C6Bh1ETK9SwdIkyuVq3wfmrNWy13Hr1uLyOLiOIX7lbdfoLIEzG0B3LTKrgZTiR1cA+wVQ8J+Ex/Di+jllYyrn0xOr2gcfAeV79rrjMAlsZn+C7UuGS96LzyqiXguMW0iVKooDX+YDyVTm5Wtn34B5x757AKxPyPuS8I+cgIiIiIiIi4gIgeg5CJJXojrO0/Vlnmc4+yQfQ2WYezmSDSbSbddO61LLQLm7n4lQ++1bX20C8wCs4ompjgWi384QEcaoSM4qZOEas72EIc3Cdl8BW4rBuGu57XcKy0WVpau07rU9aQjvMRhgWmo0g1u+IIn47rLhkc1rxDeEVjEcWI1rCOUvvFs7S58G1yBWt7zqLPhVuiH3bsXAxRx9as6LOcttjKgOmWR2F1kRgHF7j0An1GBKWblZewDjTzADGmDXWzOyNzLXHvrNAU2NOtBtqrK2QZUd47hka1HHIk6Z33il5IM1c1fbUi0EOxZilnFl7gTWuXFGssv6Hxurl2F0W3Tq5IaWrH378CB59/EEAwDrX5bnWeZAmmuQihIOrBcsUTsWQn3V8kqTH9cE96wrZZK6NsmaCjIeWoi4vPLxlWbJYLWR9FjXrQTvDBfuoqp5OQVT5QSg1VVyhIau1H9Rq1b7674E8eIbdOyvMrHJeLnoMlHaiw2JNWY/BpWWwjcJvyysMhKomg/9sT/Yq4BqES1O+dCdUA8PMBl2GKQOOF6Be0+l8iPIlri3yeDyZJC/lFo+RAAALd0lEQVRj9kVJsvD6qwunjKul2md4t5zHwalXTs8Oc0KMlTdzEnBtQiJcOV76fCQzvTBniug5iIiIiIiIiPAQPQcVGCNZAuWkMpieK0M00CAoQ2uJ27QW7BPqG4RVGl2utGPKhla5PxsMMwVs1boJ4pMmmG268q7YHaFnoOQsnMucMmTfTv9evRzKOu9TSXFIa7RGHYOC1u5wwBoNA1retIJarSaarLOgDG7L6ottrldN+FyttUmTUdarTkDum7XhtUm15K1aRtaWg6cWSupvowzojHH7jFbsaMzqlTTXtXSxu95qCToLUS+S5f7cIC+tjIwVK/UYuVMAhNcXzU5QDouWbM5VdZHWSqPGmL2eCzvX64kVf/Qx0Sx4+OFHsL615vVBr0nK8SiCR24i+OpKU/OjM1bVC6B1LdSq13bCqn9VHoPXdKmUWJRbyvkiaJOHVqtVeSKBIuJEGWFTub+Cd8iEtkhwb7nxcRwKQe7i9/7zpc+Ru3d5w6QuQyGpqE4GNSFCjoTjKRh/fR6uNt7SeT/cZ9/jWthKjN0Z5753IYQ7y9DD4Jb+NSv3C+piaJ/cO7xS7cK9wwOiWPB9yRoKf06D927IxXCb+dcKSEoORKDaCed9greP/+yFN9HZwUxIfl6iMMasJqlZnluqSr4GDxq8j1PamLp26j4T285qc8YGdtcbYI+f/TO85LNeiuH3e083sPcgOszqZPAy4EOUuzQj7RNd/PUa6izRXKsFqYgzpFZt+FYMujQ59uHEjT+2uiyKSvEWPWTocgX30Ze577IuSj+w34fyLQGgLEddV/e8HreQNN3qMcaMyYxZPtulqGkfgj6Xn5Xspi8wWbZYNrrOktda4GnANMvhaIBMxYnCcren6QrdO9MtmDRP2WIC4UbTL/uU9Xb6+on2ZkyIrUV5P+/epgl+kKfMIvi/m8FPO2K4uTfuIfmv/NEKjhF+Draf1vbufTKVlXsZD9MxMTwTmP7DPvHtNInrPY69+7t4t4Pttjp8B51eGwCwvdlHkRdr1tqVPTq2K6LnoMRWkdul7bXREMC9F7szlzCeyWW8BhcPZ3kNuntvEnG6iM/BxceT9RocBlgo5RwQPQcVGGM+CwDW2hde7L5cqojX4OIjXoOLj3gNLj4u9WsQCYkRERERERERHuLkICIiIiIiIsJDnBxEREREREREeIiTg4iIiIiIiAgPcXIQERERERER4SFmK0RERERERER4iJ6DiIiIiIiICA9xchARERERERHhIU4OIiIiIiIiIjzEyUFERERERESEhzg5iIiIiIiIiPAQJwcRERERERERHuLkICIiIiIiIsJDnBwAMMZcbYz5H8aYx40xQ2PMEWPM7xtj9l/svj2VwHG1M/4dm7HPS40x7zfGrBljesaYu4wxbzbGpE90/58sMMa83hjzNmPMx4wxWxzfd+6xzxmPszHmO4wxtxljNo0xO8aYvzfGvOn8n9GTD2dyDYwxh3d5Lqwx5l27HOdNxphPc/w3eT2+48Kd2ZMDxpgVY8yPG2P+0hjzVWNMn+PzcWPMjxljpv72xeegRO1id+BiwxjzdAB3ALgMwF9Dane/GMDPA3itMeZl1trVi9jFpxo2Afz+lPU74QpjzHcDeC+AAYB3A1gD8J0Afg/AywC84cJ180mNXwHwPMiYPoqyLv1UnM04G2N+BsDbAKwCeCeAEYDXA3iHMeY51tpfOl8n8yTFGV0D4gsA/mrK+runbWyM+R0Av8j2/wRAA8AbAbzPGPOz1to/Oot+P1XwBgB/DOAogFsBPAzgEIDvBfCnAF5njHmDragAxucggLX2kv4H4IMALICfDdb/Z65/+8Xu41PlH4AjAI6c5raLAE4AGAJ4UWV9CzKZswDeeLHP6evxH4BXAbgRgAFwC8fqnedrnAEchrxAVwEcrqzfD+Cr3OclF3scnkTX4DC/f8cZtP9S7vNVAPuDtlZ5fQ6fyzk8mf8B+FbID3sSrL8cMlGwAL6vsj4+B8G/SzqsYIy5HsBrID9a/yX4+j8A6AL4IWPM3BPctQiZfR8E8C5r7Z260lo7gFhlAPBTF6NjX++w1t5qrb3f8k21B85mnH8UQBPAH1lrj1T2WQfwm/z4k2fZ/acEzvAanA10fH+D467HPQJ5lzUB/MgFOvbXPay1H7HWvs9aWwTrjwF4Oz/eUvkqPgcBLunJAWR2CQD/d8pNtA3gEwA6AL7lie7YUxhNY8wPGmPeYoz5eWPMq2bE8/Ta/N2U7z4KoAfgpcaY5gXr6aWBsxnn3fb5QLBNxOnjSmPMT/DZ+AljzHN32TZeg7PHmMussi4+BwEudc7BN3D5lRnf3w/xLDwDwIefkB499XE5gP8VrHvQGPMj1trbK+tmXhtrbWaMeRDATQCuB3DPBenppYGzGefd9jlqjOkCuNoY07HW9i5An5+q+Db+czDG3AbgTdbahyvr5gBcBWDHWnt0Sjv3c/mMC9TPJy2MMTUAP8yP1R/1+BwEuNQ9B0tcbs74XtfvewL6cingzwC8GjJBmAPwHAD/FRK7+4Ax5nmVbeO1eWJwNuN8uvsszfg+wkcPwH8C8EJIvHo/gFdCiHS3APhwENqMz8bZ47cAPBvA+621H6ysj89BgEt9crAXDJexrvV5gLX2PzIWeNxa27PW3m2t/UkI+bMN4K1n0Fy8Nk8Mzmac47U5A1hrT1hr/7219h+stRv891GI1/LvAdwA4MfPpunz2tEnOYwxPwfJ7rgXwA+d6e5cXjLPwaU+OdhrZrcYbBdxYaAEoVdU1sVr88TgbMb5dPfZOod+XfKw1maQtDvgzJ6NvSzaSw7GmJ8G8AcAvgzgVdbatWCT+BwEuNQnB/dxOSs2dyOXszgJEecHJ7isuk5nXhvGDa+DEIq+dmG79pTH2YzzbvtcAbmOjz4Z46xfhzjJpXs2rLVdAI8BmOd4h4jvrQqMMW8G8EcQvYhXMWMhRHwOAlzqk4NbuXxNqJhljFmACF/0AXzqie7YJYaXcFl98D7C5WunbP8KSBbJHdba4YXs2CWAsxnn3fZ5XbBNxLlBM6XCSXC8BqcBY8wvQ0SMPg+ZGJyYsWl8DkJcbKGFi/0PUQTpiRrnmwAsT1l/LYRdbQG8pbJ+EWI1RRGkcxv3W7C3CNIZjTPEinrKir9chGvwzQAaU9Z/K8fZAnhp8F0UQdp73H+VY3TntHdPsG18DoJ/hidzyWKKfPI9kIf1VRC33EttlE8+Zxhj3grg30K8NQ8C2AbwdAD/FPIAvh/AP7PWjir7fA+A90AewHdB5Ey/C5JC9B4A328v9Rt4Cjhu38OPlwP4dojl+TGuO2Ursq5nM87GmJ8F8IeQF+O7UcrGXg3gd+2TWTb2POBMrgHTFW8CcBtEChkAnosyR/5XrbW/PuUYvwvgF7jPeyDyyT8AYAVi7Fyy8smsbfAOADlE3nga/+KItfYdlX3ic1DFxZ6dfD38A3ANJM3uKOTiPgQhr+w624z/zmiMXwngf0OYwhsQIZKTAP4fJO/YzNjvZZCJwzokxPNFAP8KQHqxz+nr9R8k68Pu8u/I+RhniDzt7ZCJXhfAZyA5+Rd9DC72vzO5BgB+DMDfQpRadyDW68OQH5uX73GcN3Hcu7wOtwP4jot9/hf732mMvwVw25T94nPAf5e85yAiIiIiIiLCx6VOSIyIiIiIiIgIECcHERERERERER7i5CAiIiIiIiLCQ5wcRERERERERHiIk4OIiIiIiIgID3FyEBEREREREeEhTg4iIiIiIiIiPMTJQURERERERISHODmIiIiIiIiI8BAnBxEREREREREe4uQgIiIiIiIiwkOcHERERERERER4iJODiIiIiIiICA9xchARERERERHhIU4OIiIiIiIiIjzEyUFERERERESEhzg5iIiIiIiIiPDw/wGtVHC1ilbQDAAAAABJRU5ErkJggg==
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<h2 id="Class-Prediction">Class Prediction<a class="anchor-link" href="#Class-Prediction">&#182;</a></h2><p>Once you can get images in the correct format, it's time to write a function for making predictions with your model. A common practice is to predict the top 5 or so (usually called top-$K$) most probable classes. You'll want to calculate the class probabilities then find the $K$ largest values.</p>
<p>To get the top $K$ largest values in a tensor use <a href="http://pytorch.org/docs/master/torch.html#torch.topk"><code>x.topk(k)</code></a>. This method returns both the highest <code>k</code> probabilities and the indices of those probabilities corresponding to the classes. You need to convert from these indices to the actual class labels using <code>class_to_idx</code> which hopefully you added to the model or from an <code>ImageFolder</code> you used to load the data (<a href="#Save-the-checkpoint">see here</a>). Make sure to invert the dictionary so you get a mapping from index to class as well.</p>
<p>Again, this method should take a path to an image and a model checkpoint, then return the probabilities and classes.</p>
<div class="highlight"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
<span class="o">&gt;</span> <span class="p">[</span> <span class="mf">0.01558163</span>  <span class="mf">0.01541934</span>  <span class="mf">0.01452626</span>  <span class="mf">0.01443549</span>  <span class="mf">0.01407339</span><span class="p">]</span>
<span class="o">&gt;</span> <span class="p">[</span><span class="s1">&#39;70&#39;</span><span class="p">,</span> <span class="s1">&#39;3&#39;</span><span class="p">,</span> <span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="s1">&#39;62&#39;</span><span class="p">,</span> <span class="s1">&#39;55&#39;</span><span class="p">]</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">topk</span><span class="o">=</span><span class="mi">5</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39; Predict the class (or classes) of an image using a trained deep learning model.</span>
<span class="sd">    &#39;&#39;&#39;</span>
    
    <span class="c1"># 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">process_image</span> <span class="p">(</span><span class="n">image_path</span><span class="p">)</span> <span class="c1">#loading image and processing it using above defined function</span>
    
    <span class="n">im</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">im</span> <span class="o">=</span> <span class="n">im</span><span class="o">.</span><span class="n">unsqueeze</span> <span class="p">(</span><span class="n">dim</span> <span class="o">=</span> <span class="mi">0</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">im</span><span class="p">)</span>
    <span class="n">output_prob</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="c1">#converting into a probability</span>
    
    <span class="n">probs</span><span class="p">,</span> <span class="n">indeces</span> <span class="o">=</span> <span class="n">output_prob</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">numpy</span> <span class="p">()</span> <span class="c1">#converting both to numpy array</span>
    <span class="n">indeces</span> <span class="o">=</span> <span class="n">indeces</span><span class="o">.</span><span class="n">numpy</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">tolist</span> <span class="p">()</span> <span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="c1">#converting both to list</span>
    <span class="n">indeces</span> <span class="o">=</span> <span class="n">indeces</span><span class="o">.</span><span class="n">tolist</span> <span class="p">()</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="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="n">classes</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">classes</span><span class="p">)</span> <span class="c1">#converting to Numpy array </span>
    
    <span class="k">return</span> <span class="n">probs</span><span class="p">,</span> <span class="n">classes</span>
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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">model</span> <span class="o">=</span> <span class="n">model_verify</span> <span class="c1">#using the restored one </span>
<span class="n">file_path</span> <span class="o">=</span> <span class="s1">&#39;flowers/test/1/image_06760.jpg&#39;</span> <span class="c1">#example from test set</span>

<span class="n">img</span> <span class="o">=</span> <span class="n">process_image</span> <span class="p">(</span><span class="n">file_path</span><span class="p">)</span>
<span class="n">imshow</span> <span class="p">(</span><span class="n">img</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</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">file_path</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>

<span class="c1">#preparing class_names using mapping with cat_to_name</span>

<span class="n">class_names</span> <span class="o">=</span> <span class="p">[</span><span class="n">cat_to_name</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">classes</span><span class="p">]</span>

<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span> <span class="o">=</span> <span class="p">(</span><span class="mi">6</span><span class="p">,</span><span class="mi">10</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">)</span>

<span class="n">sb</span><span class="o">.</span><span class="n">barplot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">probs</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="n">class_names</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">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
</pre></div>

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