17014 lines
1.6 MiB
17014 lines
1.6 MiB
<!DOCTYPE html>
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<html>
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<head><meta charset="utf-8" />
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<title>20_comparisons_gridcells</title>
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<script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
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<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.3/jquery.min.js"></script>
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<style type="text/css">
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/*!
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*
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* Twitter Bootstrap
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*
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*/
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/*!
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* Bootstrap v3.3.7 (http://getbootstrap.com)
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* Copyright 2011-2016 Twitter, Inc.
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* Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
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*/
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/*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */
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html {
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font-family: sans-serif;
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-ms-text-size-adjust: 100%;
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-webkit-text-size-adjust: 100%;
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}
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body {
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margin: 0;
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}
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article,
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aside,
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details,
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figcaption,
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figure,
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footer,
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header,
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hgroup,
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main,
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menu,
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nav,
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section,
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summary {
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display: block;
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}
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audio,
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canvas,
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progress,
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video {
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display: inline-block;
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vertical-align: baseline;
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}
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audio:not([controls]) {
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display: none;
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height: 0;
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}
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[hidden],
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template {
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display: none;
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}
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a {
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background-color: transparent;
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}
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a:active,
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a:hover {
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outline: 0;
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}
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abbr[title] {
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border-bottom: 1px dotted;
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}
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b,
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strong {
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font-weight: bold;
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}
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dfn {
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font-style: italic;
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}
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h1 {
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font-size: 2em;
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margin: 0.67em 0;
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}
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mark {
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background: #ff0;
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color: #000;
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}
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small {
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font-size: 80%;
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}
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sub,
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sup {
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font-size: 75%;
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line-height: 0;
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position: relative;
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vertical-align: baseline;
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}
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sup {
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top: -0.5em;
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}
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sub {
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bottom: -0.25em;
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}
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img {
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border: 0;
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}
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svg:not(:root) {
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overflow: hidden;
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}
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figure {
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margin: 1em 40px;
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}
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hr {
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box-sizing: content-box;
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height: 0;
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}
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pre {
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overflow: auto;
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}
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code,
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kbd,
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pre,
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samp {
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font-family: monospace, monospace;
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font-size: 1em;
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}
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button,
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input,
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optgroup,
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select,
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textarea {
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color: inherit;
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font: inherit;
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margin: 0;
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}
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button {
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overflow: visible;
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}
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button,
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select {
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text-transform: none;
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}
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button,
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html input[type="button"],
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input[type="reset"],
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input[type="submit"] {
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-webkit-appearance: button;
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cursor: pointer;
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}
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button[disabled],
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html input[disabled] {
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cursor: default;
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}
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button::-moz-focus-inner,
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input::-moz-focus-inner {
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border: 0;
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padding: 0;
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}
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input {
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line-height: normal;
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}
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input[type="checkbox"],
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input[type="radio"] {
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box-sizing: border-box;
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padding: 0;
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}
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input[type="number"]::-webkit-inner-spin-button,
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input[type="number"]::-webkit-outer-spin-button {
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height: auto;
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}
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input[type="search"] {
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-webkit-appearance: textfield;
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box-sizing: content-box;
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}
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input[type="search"]::-webkit-search-cancel-button,
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input[type="search"]::-webkit-search-decoration {
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-webkit-appearance: none;
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}
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fieldset {
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border: 1px solid #c0c0c0;
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margin: 0 2px;
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padding: 0.35em 0.625em 0.75em;
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}
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legend {
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border: 0;
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padding: 0;
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}
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textarea {
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overflow: auto;
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}
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optgroup {
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font-weight: bold;
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}
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table {
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border-collapse: collapse;
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border-spacing: 0;
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}
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td,
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th {
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padding: 0;
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}
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/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */
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@media print {
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*,
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*:before,
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*:after {
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background: transparent !important;
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box-shadow: none !important;
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text-shadow: none !important;
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}
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a,
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a:visited {
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text-decoration: underline;
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}
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a[href]:after {
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content: " (" attr(href) ")";
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}
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abbr[title]:after {
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content: " (" attr(title) ")";
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}
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a[href^="#"]:after,
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a[href^="javascript:"]:after {
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content: "";
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}
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pre,
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blockquote {
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border: 1px solid #999;
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page-break-inside: avoid;
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}
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thead {
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display: table-header-group;
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}
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tr,
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img {
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page-break-inside: avoid;
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}
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img {
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max-width: 100% !important;
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}
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p,
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h2,
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h3 {
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orphans: 3;
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widows: 3;
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}
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h2,
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h3 {
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page-break-after: avoid;
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}
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.navbar {
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display: none;
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}
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.btn > .caret,
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.dropup > .btn > .caret {
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border-top-color: #000 !important;
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}
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.label {
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border: 1px solid #000;
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}
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.table {
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border-collapse: collapse !important;
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}
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.table td,
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.table th {
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background-color: #fff !important;
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}
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.table-bordered th,
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.table-bordered td {
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border: 1px solid #ddd !important;
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}
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}
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@font-face {
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font-family: 'Glyphicons Halflings';
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src: url('../components/bootstrap/fonts/glyphicons-halflings-regular.eot');
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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');
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}
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.glyphicon {
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position: relative;
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top: 1px;
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display: inline-block;
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font-family: 'Glyphicons Halflings';
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font-style: normal;
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font-weight: normal;
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line-height: 1;
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-webkit-font-smoothing: antialiased;
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-moz-osx-font-smoothing: grayscale;
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}
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.glyphicon-asterisk:before {
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content: "\002a";
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}
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.glyphicon-plus:before {
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content: "\002b";
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}
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.glyphicon-euro:before,
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.glyphicon-eur:before {
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content: "\20ac";
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}
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.glyphicon-minus:before {
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content: "\2212";
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}
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.glyphicon-cloud:before {
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content: "\2601";
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}
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.glyphicon-envelope:before {
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content: "\2709";
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}
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.glyphicon-pencil:before {
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content: "\270f";
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}
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.glyphicon-glass:before {
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content: "\e001";
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}
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.glyphicon-music:before {
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content: "\e002";
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}
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.glyphicon-search:before {
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content: "\e003";
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}
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.glyphicon-heart:before {
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content: "\e005";
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}
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.glyphicon-star:before {
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content: "\e006";
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}
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.glyphicon-star-empty:before {
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content: "\e007";
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}
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.glyphicon-user:before {
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content: "\e008";
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}
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.glyphicon-film:before {
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content: "\e009";
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}
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.glyphicon-th-large:before {
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content: "\e010";
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}
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.glyphicon-th:before {
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content: "\e011";
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}
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.glyphicon-th-list:before {
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content: "\e012";
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}
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.glyphicon-ok:before {
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content: "\e013";
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}
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.glyphicon-remove:before {
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content: "\e014";
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}
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.glyphicon-zoom-in:before {
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content: "\e015";
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}
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.glyphicon-zoom-out:before {
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content: "\e016";
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}
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.glyphicon-off:before {
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content: "\e017";
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}
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.glyphicon-signal:before {
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content: "\e018";
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}
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.glyphicon-cog:before {
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content: "\e019";
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}
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.glyphicon-trash:before {
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content: "\e020";
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}
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.glyphicon-home:before {
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content: "\e021";
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}
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.glyphicon-file:before {
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content: "\e022";
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}
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.glyphicon-time:before {
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content: "\e023";
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}
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.glyphicon-road:before {
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content: "\e024";
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}
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.glyphicon-download-alt:before {
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content: "\e025";
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}
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.glyphicon-download:before {
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content: "\e026";
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}
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.glyphicon-upload:before {
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content: "\e027";
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}
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.glyphicon-inbox:before {
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||
content: "\e028";
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}
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.glyphicon-play-circle:before {
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content: "\e029";
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}
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.glyphicon-repeat:before {
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content: "\e030";
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}
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.glyphicon-refresh:before {
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content: "\e031";
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}
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.glyphicon-list-alt:before {
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content: "\e032";
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}
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.glyphicon-lock:before {
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content: "\e033";
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}
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.glyphicon-flag:before {
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content: "\e034";
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}
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.glyphicon-headphones:before {
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content: "\e035";
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}
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.glyphicon-volume-off:before {
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content: "\e036";
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}
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.glyphicon-volume-down:before {
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content: "\e037";
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}
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.glyphicon-volume-up:before {
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content: "\e038";
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}
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.glyphicon-qrcode:before {
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content: "\e039";
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}
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.glyphicon-barcode:before {
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content: "\e040";
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}
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.glyphicon-tag:before {
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content: "\e041";
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}
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.glyphicon-tags:before {
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content: "\e042";
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}
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.glyphicon-book:before {
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content: "\e043";
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}
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.glyphicon-bookmark:before {
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content: "\e044";
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}
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.glyphicon-print:before {
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content: "\e045";
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}
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.glyphicon-camera:before {
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content: "\e046";
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}
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.glyphicon-font:before {
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content: "\e047";
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}
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.glyphicon-bold:before {
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content: "\e048";
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}
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.glyphicon-italic:before {
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content: "\e049";
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}
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.glyphicon-text-height:before {
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content: "\e050";
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}
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.glyphicon-text-width:before {
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content: "\e051";
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}
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.glyphicon-align-left:before {
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content: "\e052";
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}
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.glyphicon-align-center:before {
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content: "\e053";
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}
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.glyphicon-align-right:before {
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content: "\e054";
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}
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.glyphicon-align-justify:before {
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content: "\e055";
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}
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.glyphicon-list:before {
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content: "\e056";
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}
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.glyphicon-indent-left:before {
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content: "\e057";
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}
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.glyphicon-indent-right:before {
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content: "\e058";
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}
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.glyphicon-facetime-video:before {
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content: "\e059";
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}
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.glyphicon-picture:before {
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content: "\e060";
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}
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.glyphicon-map-marker:before {
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||
content: "\e062";
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}
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||
.glyphicon-adjust:before {
|
||
content: "\e063";
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||
}
|
||
.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;
|
||
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|
||
position: absolute;
|
||
left: 15px;
|
||
top: 10px;
|
||
width: 25px;
|
||
height: 25px;
|
||
-webkit-transform: rotate(45deg);
|
||
-moz-transform: rotate(45deg);
|
||
-ms-transform: rotate(45deg);
|
||
-o-transform: rotate(45deg);
|
||
}
|
||
ul.typeahead-list i {
|
||
margin-left: -10px;
|
||
width: 18px;
|
||
}
|
||
[dir="rtl"] ul.typeahead-list i {
|
||
margin-left: 0;
|
||
margin-right: -10px;
|
||
}
|
||
ul.typeahead-list {
|
||
max-height: 80vh;
|
||
overflow: auto;
|
||
}
|
||
ul.typeahead-list > li > a {
|
||
/** Firefox bug **/
|
||
/* see https://github.com/jupyter/notebook/issues/559 */
|
||
white-space: normal;
|
||
}
|
||
ul.typeahead-list > li > a.pull-right {
|
||
float: left !important;
|
||
float: left;
|
||
}
|
||
[dir="rtl"] .typeahead-list {
|
||
text-align: right;
|
||
}
|
||
.cmd-palette .modal-body {
|
||
padding: 7px;
|
||
}
|
||
.cmd-palette form {
|
||
background: white;
|
||
}
|
||
.cmd-palette input {
|
||
outline: none;
|
||
}
|
||
.no-shortcut {
|
||
min-width: 20px;
|
||
color: transparent;
|
||
}
|
||
[dir="rtl"] .no-shortcut.pull-right {
|
||
float: left !important;
|
||
float: left;
|
||
}
|
||
[dir="rtl"] .command-shortcut.pull-right {
|
||
float: left !important;
|
||
float: left;
|
||
}
|
||
.command-shortcut:before {
|
||
content: "(command mode)";
|
||
padding-right: 3px;
|
||
color: #777777;
|
||
}
|
||
.edit-shortcut:before {
|
||
content: "(edit)";
|
||
padding-right: 3px;
|
||
color: #777777;
|
||
}
|
||
[dir="rtl"] .edit-shortcut.pull-right {
|
||
float: left !important;
|
||
float: left;
|
||
}
|
||
#find-and-replace #replace-preview .match,
|
||
#find-and-replace #replace-preview .insert {
|
||
background-color: #BBDEFB;
|
||
border-color: #90CAF9;
|
||
border-style: solid;
|
||
border-width: 1px;
|
||
border-radius: 0px;
|
||
}
|
||
[dir="ltr"] #find-and-replace .input-group-btn + .form-control {
|
||
border-left: none;
|
||
}
|
||
[dir="rtl"] #find-and-replace .input-group-btn + .form-control {
|
||
border-right: none;
|
||
}
|
||
#find-and-replace #replace-preview .replace .match {
|
||
background-color: #FFCDD2;
|
||
border-color: #EF9A9A;
|
||
border-radius: 0px;
|
||
}
|
||
#find-and-replace #replace-preview .replace .insert {
|
||
background-color: #C8E6C9;
|
||
border-color: #A5D6A7;
|
||
border-radius: 0px;
|
||
}
|
||
#find-and-replace #replace-preview {
|
||
max-height: 60vh;
|
||
overflow: auto;
|
||
}
|
||
#find-and-replace #replace-preview pre {
|
||
padding: 5px 10px;
|
||
}
|
||
.terminal-app {
|
||
background: #EEE;
|
||
}
|
||
.terminal-app #header {
|
||
background: #fff;
|
||
-webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
|
||
box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
|
||
}
|
||
.terminal-app .terminal {
|
||
width: 100%;
|
||
float: left;
|
||
font-family: monospace;
|
||
color: white;
|
||
background: black;
|
||
padding: 0.4em;
|
||
border-radius: 2px;
|
||
-webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
|
||
box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
|
||
}
|
||
.terminal-app .terminal,
|
||
.terminal-app .terminal dummy-screen {
|
||
line-height: 1em;
|
||
font-size: 14px;
|
||
}
|
||
.terminal-app .terminal .xterm-rows {
|
||
padding: 10px;
|
||
}
|
||
.terminal-app .terminal-cursor {
|
||
color: black;
|
||
background: white;
|
||
}
|
||
.terminal-app #terminado-container {
|
||
margin-top: 20px;
|
||
}
|
||
/*# sourceMappingURL=style.min.css.map */
|
||
</style>
|
||
<style type="text/css">
|
||
.highlight .hll { background-color: #ffffcc }
|
||
.highlight { background: #f8f8f8; }
|
||
.highlight .c { color: #408080; font-style: italic } /* Comment */
|
||
.highlight .err { border: 1px solid #FF0000 } /* Error */
|
||
.highlight .k { color: #008000; font-weight: bold } /* Keyword */
|
||
.highlight .o { color: #666666 } /* Operator */
|
||
.highlight .ch { color: #408080; font-style: italic } /* Comment.Hashbang */
|
||
.highlight .cm { color: #408080; font-style: italic } /* Comment.Multiline */
|
||
.highlight .cp { color: #BC7A00 } /* Comment.Preproc */
|
||
.highlight .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */
|
||
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|
||
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|
||
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|
||
.highlight .ge { font-style: italic } /* Generic.Emph */
|
||
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|
||
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|
||
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|
||
.highlight .go { color: #888888 } /* Generic.Output */
|
||
.highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
.highlight .kt { color: #B00040 } /* Keyword.Type */
|
||
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|
||
.highlight .s { color: #BA2121 } /* Literal.String */
|
||
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|
||
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|
||
.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 */
|
||
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|
||
.highlight .nl { color: #A0A000 } /* Name.Label */
|
||
.highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
|
||
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|
||
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|
||
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|
||
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|
||
.highlight .mb { color: #666666 } /* Literal.Number.Bin */
|
||
.highlight .mf { color: #666666 } /* Literal.Number.Float */
|
||
.highlight .mh { color: #666666 } /* Literal.Number.Hex */
|
||
.highlight .mi { color: #666666 } /* Literal.Number.Integer */
|
||
.highlight .mo { color: #666666 } /* Literal.Number.Oct */
|
||
.highlight .sa { color: #BA2121 } /* Literal.String.Affix */
|
||
.highlight .sb { color: #BA2121 } /* Literal.String.Backtick */
|
||
.highlight .sc { color: #BA2121 } /* Literal.String.Char */
|
||
.highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */
|
||
.highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */
|
||
.highlight .s2 { color: #BA2121 } /* Literal.String.Double */
|
||
.highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */
|
||
.highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */
|
||
.highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */
|
||
.highlight .sx { color: #008000 } /* Literal.String.Other */
|
||
.highlight .sr { color: #BB6688 } /* Literal.String.Regex */
|
||
.highlight .s1 { color: #BA2121 } /* Literal.String.Single */
|
||
.highlight .ss { color: #19177C } /* Literal.String.Symbol */
|
||
.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
|
||
.highlight .fm { color: #0000FF } /* Name.Function.Magic */
|
||
.highlight .vc { color: #19177C } /* Name.Variable.Class */
|
||
.highlight .vg { color: #19177C } /* Name.Variable.Global */
|
||
.highlight .vi { color: #19177C } /* Name.Variable.Instance */
|
||
.highlight .vm { color: #19177C } /* Name.Variable.Magic */
|
||
.highlight .il { color: #666666 } /* Literal.Number.Integer.Long */
|
||
</style>
|
||
<style type="text/css">
|
||
|
||
/* Temporary definitions which will become obsolete with Notebook release 5.0 */
|
||
.ansi-black-fg { color: #3E424D; }
|
||
.ansi-black-bg { background-color: #3E424D; }
|
||
.ansi-black-intense-fg { color: #282C36; }
|
||
.ansi-black-intense-bg { background-color: #282C36; }
|
||
.ansi-red-fg { color: #E75C58; }
|
||
.ansi-red-bg { background-color: #E75C58; }
|
||
.ansi-red-intense-fg { color: #B22B31; }
|
||
.ansi-red-intense-bg { background-color: #B22B31; }
|
||
.ansi-green-fg { color: #00A250; }
|
||
.ansi-green-bg { background-color: #00A250; }
|
||
.ansi-green-intense-fg { color: #007427; }
|
||
.ansi-green-intense-bg { background-color: #007427; }
|
||
.ansi-yellow-fg { color: #DDB62B; }
|
||
.ansi-yellow-bg { background-color: #DDB62B; }
|
||
.ansi-yellow-intense-fg { color: #B27D12; }
|
||
.ansi-yellow-intense-bg { background-color: #B27D12; }
|
||
.ansi-blue-fg { color: #208FFB; }
|
||
.ansi-blue-bg { background-color: #208FFB; }
|
||
.ansi-blue-intense-fg { color: #0065CA; }
|
||
.ansi-blue-intense-bg { background-color: #0065CA; }
|
||
.ansi-magenta-fg { color: #D160C4; }
|
||
.ansi-magenta-bg { background-color: #D160C4; }
|
||
.ansi-magenta-intense-fg { color: #A03196; }
|
||
.ansi-magenta-intense-bg { background-color: #A03196; }
|
||
.ansi-cyan-fg { color: #60C6C8; }
|
||
.ansi-cyan-bg { background-color: #60C6C8; }
|
||
.ansi-cyan-intense-fg { color: #258F8F; }
|
||
.ansi-cyan-intense-bg { background-color: #258F8F; }
|
||
.ansi-white-fg { color: #C5C1B4; }
|
||
.ansi-white-bg { background-color: #C5C1B4; }
|
||
.ansi-white-intense-fg { color: #A1A6B2; }
|
||
.ansi-white-intense-bg { background-color: #A1A6B2; }
|
||
|
||
.ansi-bold { font-weight: bold; }
|
||
|
||
</style>
|
||
|
||
|
||
<style type="text/css">
|
||
/* Overrides of notebook CSS for static HTML export */
|
||
body {
|
||
overflow: visible;
|
||
padding: 8px;
|
||
}
|
||
|
||
div#notebook {
|
||
overflow: visible;
|
||
border-top: none;
|
||
}@media print {
|
||
div.cell {
|
||
display: block;
|
||
page-break-inside: avoid;
|
||
}
|
||
div.output_wrapper {
|
||
display: block;
|
||
page-break-inside: avoid;
|
||
}
|
||
div.output {
|
||
display: block;
|
||
page-break-inside: avoid;
|
||
}
|
||
}
|
||
</style>
|
||
|
||
<!-- Custom stylesheet, it must be in the same directory as the html file -->
|
||
<link rel="stylesheet" href="custom.css">
|
||
|
||
<!-- Loading mathjax macro -->
|
||
<!-- Load mathjax -->
|
||
<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/latest.js?config=TeX-AMS_HTML"></script>
|
||
<!-- MathJax configuration -->
|
||
<script type="text/x-mathjax-config">
|
||
MathJax.Hub.Config({
|
||
tex2jax: {
|
||
inlineMath: [ ['$','$'], ["\\(","\\)"] ],
|
||
displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
|
||
processEscapes: true,
|
||
processEnvironments: true
|
||
},
|
||
// Center justify equations in code and markdown cells. Elsewhere
|
||
// we use CSS to left justify single line equations in code cells.
|
||
displayAlign: 'center',
|
||
"HTML-CSS": {
|
||
styles: {'.MathJax_Display': {"margin": 0}},
|
||
linebreaks: { automatic: true }
|
||
}
|
||
});
|
||
</script>
|
||
<!-- End of mathjax configuration --></head>
|
||
<body>
|
||
<div tabindex="-1" id="notebook" class="border-box-sizing">
|
||
<div class="container" id="notebook-container">
|
||
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [2]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="o">%</span><span class="k">load_ext</span> autoreload
|
||
<span class="o">%</span><span class="k">autoreload</span> 2
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [3]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
|
||
<span class="kn">import</span> <span class="nn">pathlib</span>
|
||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
|
||
<span class="kn">import</span> <span class="nn">re</span>
|
||
<span class="kn">import</span> <span class="nn">shutil</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">scipy.stats</span>
|
||
|
||
<span class="kn">import</span> <span class="nn">exdir</span>
|
||
<span class="kn">import</span> <span class="nn">expipe</span>
|
||
<span class="kn">from</span> <span class="nn">distutils.dir_util</span> <span class="k">import</span> <span class="n">copy_tree</span>
|
||
<span class="kn">import</span> <span class="nn">septum_mec</span>
|
||
<span class="kn">import</span> <span class="nn">spatial_maps</span> <span class="k">as</span> <span class="nn">sp</span>
|
||
<span class="kn">import</span> <span class="nn">head_direction.head</span> <span class="k">as</span> <span class="nn">head</span>
|
||
<span class="kn">import</span> <span class="nn">septum_mec.analysis.data_processing</span> <span class="k">as</span> <span class="nn">dp</span>
|
||
<span class="kn">import</span> <span class="nn">septum_mec.analysis.registration</span>
|
||
<span class="kn">from</span> <span class="nn">septum_mec.analysis.plotting</span> <span class="k">import</span> <span class="n">violinplot</span>
|
||
|
||
<span class="kn">from</span> <span class="nn">spike_statistics.core</span> <span class="k">import</span> <span class="n">permutation_resampling</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_wrapper">
|
||
<div class="output">
|
||
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt"></div>
|
||
|
||
|
||
<div class="output_subarea output_stream output_stderr output_text">
|
||
<pre>13:03:48 [I] klustakwik KlustaKwik2 version 0.2.6
|
||
/home/mikkel/.virtualenvs/expipe/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject
|
||
return f(*args, **kwds)
|
||
/home/mikkel/.virtualenvs/expipe/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject
|
||
return f(*args, **kwds)
|
||
</pre>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [4]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">project_path</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">project_path</span><span class="p">()</span>
|
||
<span class="n">project</span> <span class="o">=</span> <span class="n">expipe</span><span class="o">.</span><span class="n">get_project</span><span class="p">(</span><span class="n">project_path</span><span class="p">)</span>
|
||
<span class="n">actions</span> <span class="o">=</span> <span class="n">project</span><span class="o">.</span><span class="n">actions</span>
|
||
|
||
<span class="n">output_path</span> <span class="o">=</span> <span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">(</span><span class="s2">"output"</span><span class="p">)</span> <span class="o">/</span> <span class="s2">"comparisons-gridcells"</span>
|
||
<span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"statistics"</span><span class="p">)</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">parents</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
|
||
<span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span><span class="p">)</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">parents</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
|
||
</div><div class="inner_cell">
|
||
<div class="text_cell_render border-box-sizing rendered_html">
|
||
<h1 id="Load-cell-statistics-and-shuffling-quantiles">Load cell statistics and shuffling quantiles<a class="anchor-link" href="#Load-cell-statistics-and-shuffling-quantiles">¶</a></h1>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [5]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">statistics_action</span> <span class="o">=</span> <span class="n">actions</span><span class="p">[</span><span class="s1">'calculate-statistics'</span><span class="p">]</span>
|
||
<span class="n">identification_action</span> <span class="o">=</span> <span class="n">actions</span><span class="p">[</span><span class="s1">'identify-neurons'</span><span class="p">]</span>
|
||
<span class="n">sessions</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">identification_action</span><span class="o">.</span><span class="n">data_path</span><span class="p">(</span><span class="s1">'sessions'</span><span class="p">))</span>
|
||
<span class="n">units</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">identification_action</span><span class="o">.</span><span class="n">data_path</span><span class="p">(</span><span class="s1">'units'</span><span class="p">))</span>
|
||
<span class="n">session_units</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">sessions</span><span class="p">,</span> <span class="n">units</span><span class="p">,</span> <span class="n">on</span><span class="o">=</span><span class="s1">'action'</span><span class="p">)</span>
|
||
<span class="n">statistics_results</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">statistics_action</span><span class="o">.</span><span class="n">data_path</span><span class="p">(</span><span class="s1">'results'</span><span class="p">))</span>
|
||
<span class="n">statistics</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">session_units</span><span class="p">,</span> <span class="n">statistics_results</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">'left'</span><span class="p">)</span>
|
||
<span class="n">statistics</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_wrapper">
|
||
<div class="output">
|
||
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt output_prompt">Out[5]:</div>
|
||
|
||
|
||
|
||
<div class="output_html rendered_html output_subarea output_execute_result">
|
||
<div>
|
||
<style scoped>
|
||
.dataframe tbody tr th:only-of-type {
|
||
vertical-align: middle;
|
||
}
|
||
|
||
.dataframe tbody tr th {
|
||
vertical-align: top;
|
||
}
|
||
|
||
.dataframe thead th {
|
||
text-align: right;
|
||
}
|
||
</style>
|
||
<table border="1" class="dataframe">
|
||
<thead>
|
||
<tr style="text-align: right;">
|
||
<th></th>
|
||
<th>action</th>
|
||
<th>baseline</th>
|
||
<th>entity</th>
|
||
<th>frequency</th>
|
||
<th>i</th>
|
||
<th>ii</th>
|
||
<th>session</th>
|
||
<th>stim_location</th>
|
||
<th>stimulated</th>
|
||
<th>tag</th>
|
||
<th>...</th>
|
||
<th>burst_event_ratio</th>
|
||
<th>bursty_spike_ratio</th>
|
||
<th>gridness</th>
|
||
<th>border_score</th>
|
||
<th>information_rate</th>
|
||
<th>information_specificity</th>
|
||
<th>head_mean_ang</th>
|
||
<th>head_mean_vec_len</th>
|
||
<th>spacing</th>
|
||
<th>orientation</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
<tr>
|
||
<th>0</th>
|
||
<td>1849-060319-3</td>
|
||
<td>True</td>
|
||
<td>1849</td>
|
||
<td>NaN</td>
|
||
<td>False</td>
|
||
<td>True</td>
|
||
<td>3</td>
|
||
<td>NaN</td>
|
||
<td>False</td>
|
||
<td>baseline ii</td>
|
||
<td>...</td>
|
||
<td>0.398230</td>
|
||
<td>0.678064</td>
|
||
<td>-0.466923</td>
|
||
<td>0.029328</td>
|
||
<td>1.009215</td>
|
||
<td>0.317256</td>
|
||
<td>5.438033</td>
|
||
<td>0.040874</td>
|
||
<td>0.628784</td>
|
||
<td>20.224859</td>
|
||
</tr>
|
||
<tr>
|
||
<th>1</th>
|
||
<td>1849-060319-3</td>
|
||
<td>True</td>
|
||
<td>1849</td>
|
||
<td>NaN</td>
|
||
<td>False</td>
|
||
<td>True</td>
|
||
<td>3</td>
|
||
<td>NaN</td>
|
||
<td>False</td>
|
||
<td>baseline ii</td>
|
||
<td>...</td>
|
||
<td>0.138014</td>
|
||
<td>0.263173</td>
|
||
<td>-0.666792</td>
|
||
<td>0.308146</td>
|
||
<td>0.192524</td>
|
||
<td>0.033447</td>
|
||
<td>1.951740</td>
|
||
<td>0.017289</td>
|
||
<td>0.789388</td>
|
||
<td>27.897271</td>
|
||
</tr>
|
||
<tr>
|
||
<th>2</th>
|
||
<td>1849-060319-3</td>
|
||
<td>True</td>
|
||
<td>1849</td>
|
||
<td>NaN</td>
|
||
<td>False</td>
|
||
<td>True</td>
|
||
<td>3</td>
|
||
<td>NaN</td>
|
||
<td>False</td>
|
||
<td>baseline ii</td>
|
||
<td>...</td>
|
||
<td>0.373986</td>
|
||
<td>0.659259</td>
|
||
<td>-0.572566</td>
|
||
<td>0.143252</td>
|
||
<td>4.745836</td>
|
||
<td>0.393704</td>
|
||
<td>4.439721</td>
|
||
<td>0.124731</td>
|
||
<td>0.555402</td>
|
||
<td>28.810794</td>
|
||
</tr>
|
||
<tr>
|
||
<th>3</th>
|
||
<td>1849-060319-3</td>
|
||
<td>True</td>
|
||
<td>1849</td>
|
||
<td>NaN</td>
|
||
<td>False</td>
|
||
<td>True</td>
|
||
<td>3</td>
|
||
<td>NaN</td>
|
||
<td>False</td>
|
||
<td>baseline ii</td>
|
||
<td>...</td>
|
||
<td>0.087413</td>
|
||
<td>0.179245</td>
|
||
<td>-0.437492</td>
|
||
<td>0.268948</td>
|
||
<td>0.157394</td>
|
||
<td>0.073553</td>
|
||
<td>6.215195</td>
|
||
<td>0.101911</td>
|
||
<td>0.492250</td>
|
||
<td>9.462322</td>
|
||
</tr>
|
||
<tr>
|
||
<th>4</th>
|
||
<td>1849-060319-3</td>
|
||
<td>True</td>
|
||
<td>1849</td>
|
||
<td>NaN</td>
|
||
<td>False</td>
|
||
<td>True</td>
|
||
<td>3</td>
|
||
<td>NaN</td>
|
||
<td>False</td>
|
||
<td>baseline ii</td>
|
||
<td>...</td>
|
||
<td>0.248771</td>
|
||
<td>0.463596</td>
|
||
<td>-0.085938</td>
|
||
<td>0.218744</td>
|
||
<td>0.519153</td>
|
||
<td>0.032683</td>
|
||
<td>1.531481</td>
|
||
<td>0.053810</td>
|
||
<td>0.559905</td>
|
||
<td>0.000000</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
<p>5 rows × 39 columns</p>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [6]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">shuffling</span> <span class="o">=</span> <span class="n">actions</span><span class="p">[</span><span class="s1">'shuffling'</span><span class="p">]</span>
|
||
<span class="n">quantiles_95</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">shuffling</span><span class="o">.</span><span class="n">data_path</span><span class="p">(</span><span class="s1">'quantiles_95'</span><span class="p">))</span>
|
||
<span class="n">quantiles_95</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_wrapper">
|
||
<div class="output">
|
||
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt output_prompt">Out[6]:</div>
|
||
|
||
|
||
|
||
<div class="output_html rendered_html output_subarea output_execute_result">
|
||
<div>
|
||
<style scoped>
|
||
.dataframe tbody tr th:only-of-type {
|
||
vertical-align: middle;
|
||
}
|
||
|
||
.dataframe tbody tr th {
|
||
vertical-align: top;
|
||
}
|
||
|
||
.dataframe thead th {
|
||
text-align: right;
|
||
}
|
||
</style>
|
||
<table border="1" class="dataframe">
|
||
<thead>
|
||
<tr style="text-align: right;">
|
||
<th></th>
|
||
<th>border_score</th>
|
||
<th>gridness</th>
|
||
<th>head_mean_ang</th>
|
||
<th>head_mean_vec_len</th>
|
||
<th>information_rate</th>
|
||
<th>speed_score</th>
|
||
<th>action</th>
|
||
<th>channel_group</th>
|
||
<th>unit_name</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
<tr>
|
||
<th>0</th>
|
||
<td>0.348023</td>
|
||
<td>0.275109</td>
|
||
<td>3.012689</td>
|
||
<td>0.086792</td>
|
||
<td>0.707197</td>
|
||
<td>0.149071</td>
|
||
<td>1833-010719-1</td>
|
||
<td>0.0</td>
|
||
<td>127.0</td>
|
||
</tr>
|
||
<tr>
|
||
<th>1</th>
|
||
<td>0.362380</td>
|
||
<td>0.166475</td>
|
||
<td>3.133138</td>
|
||
<td>0.037271</td>
|
||
<td>0.482486</td>
|
||
<td>0.132212</td>
|
||
<td>1833-010719-1</td>
|
||
<td>0.0</td>
|
||
<td>161.0</td>
|
||
</tr>
|
||
<tr>
|
||
<th>2</th>
|
||
<td>0.367498</td>
|
||
<td>0.266865</td>
|
||
<td>5.586395</td>
|
||
<td>0.182843</td>
|
||
<td>0.271188</td>
|
||
<td>0.062821</td>
|
||
<td>1833-010719-1</td>
|
||
<td>0.0</td>
|
||
<td>191.0</td>
|
||
</tr>
|
||
<tr>
|
||
<th>3</th>
|
||
<td>0.331942</td>
|
||
<td>0.312155</td>
|
||
<td>5.955767</td>
|
||
<td>0.090786</td>
|
||
<td>0.354018</td>
|
||
<td>0.052009</td>
|
||
<td>1833-010719-1</td>
|
||
<td>0.0</td>
|
||
<td>223.0</td>
|
||
</tr>
|
||
<tr>
|
||
<th>4</th>
|
||
<td>0.325842</td>
|
||
<td>0.180495</td>
|
||
<td>5.262721</td>
|
||
<td>0.103584</td>
|
||
<td>0.210427</td>
|
||
<td>0.094041</td>
|
||
<td>1833-010719-1</td>
|
||
<td>0.0</td>
|
||
<td>225.0</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [7]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">action_columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'action'</span><span class="p">,</span> <span class="s1">'channel_group'</span><span class="p">,</span> <span class="s1">'unit_name'</span><span class="p">]</span>
|
||
<span class="n">data</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">statistics</span><span class="p">,</span> <span class="n">quantiles_95</span><span class="p">,</span> <span class="n">on</span><span class="o">=</span><span class="n">action_columns</span><span class="p">,</span> <span class="n">suffixes</span><span class="o">=</span><span class="p">(</span><span class="s2">""</span><span class="p">,</span> <span class="s2">"_threshold"</span><span class="p">))</span>
|
||
|
||
<span class="n">data</span><span class="p">[</span><span class="s1">'specificity'</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s1">'in_field_mean_rate'</span><span class="p">]</span> <span class="o">/</span> <span class="n">data</span><span class="p">[</span><span class="s1">'out_field_mean_rate'</span><span class="p">])</span>
|
||
|
||
<span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_wrapper">
|
||
<div class="output">
|
||
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt output_prompt">Out[7]:</div>
|
||
|
||
|
||
|
||
<div class="output_html rendered_html output_subarea output_execute_result">
|
||
<div>
|
||
<style scoped>
|
||
.dataframe tbody tr th:only-of-type {
|
||
vertical-align: middle;
|
||
}
|
||
|
||
.dataframe tbody tr th {
|
||
vertical-align: top;
|
||
}
|
||
|
||
.dataframe thead th {
|
||
text-align: right;
|
||
}
|
||
</style>
|
||
<table border="1" class="dataframe">
|
||
<thead>
|
||
<tr style="text-align: right;">
|
||
<th></th>
|
||
<th>action</th>
|
||
<th>baseline</th>
|
||
<th>entity</th>
|
||
<th>frequency</th>
|
||
<th>i</th>
|
||
<th>ii</th>
|
||
<th>session</th>
|
||
<th>stim_location</th>
|
||
<th>stimulated</th>
|
||
<th>tag</th>
|
||
<th>...</th>
|
||
<th>head_mean_vec_len</th>
|
||
<th>spacing</th>
|
||
<th>orientation</th>
|
||
<th>border_score_threshold</th>
|
||
<th>gridness_threshold</th>
|
||
<th>head_mean_ang_threshold</th>
|
||
<th>head_mean_vec_len_threshold</th>
|
||
<th>information_rate_threshold</th>
|
||
<th>speed_score_threshold</th>
|
||
<th>specificity</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
<tr>
|
||
<th>0</th>
|
||
<td>1849-060319-3</td>
|
||
<td>True</td>
|
||
<td>1849</td>
|
||
<td>NaN</td>
|
||
<td>False</td>
|
||
<td>True</td>
|
||
<td>3</td>
|
||
<td>NaN</td>
|
||
<td>False</td>
|
||
<td>baseline ii</td>
|
||
<td>...</td>
|
||
<td>0.040874</td>
|
||
<td>0.628784</td>
|
||
<td>20.224859</td>
|
||
<td>0.332548</td>
|
||
<td>0.229073</td>
|
||
<td>6.029431</td>
|
||
<td>0.205362</td>
|
||
<td>1.115825</td>
|
||
<td>0.066736</td>
|
||
<td>0.451741</td>
|
||
</tr>
|
||
<tr>
|
||
<th>1</th>
|
||
<td>1849-060319-3</td>
|
||
<td>True</td>
|
||
<td>1849</td>
|
||
<td>NaN</td>
|
||
<td>False</td>
|
||
<td>True</td>
|
||
<td>3</td>
|
||
<td>NaN</td>
|
||
<td>False</td>
|
||
<td>baseline ii</td>
|
||
<td>...</td>
|
||
<td>0.017289</td>
|
||
<td>0.789388</td>
|
||
<td>27.897271</td>
|
||
<td>0.354830</td>
|
||
<td>0.089333</td>
|
||
<td>6.120055</td>
|
||
<td>0.073566</td>
|
||
<td>0.223237</td>
|
||
<td>0.052594</td>
|
||
<td>0.098517</td>
|
||
</tr>
|
||
<tr>
|
||
<th>2</th>
|
||
<td>1849-060319-3</td>
|
||
<td>True</td>
|
||
<td>1849</td>
|
||
<td>NaN</td>
|
||
<td>False</td>
|
||
<td>True</td>
|
||
<td>3</td>
|
||
<td>NaN</td>
|
||
<td>False</td>
|
||
<td>baseline ii</td>
|
||
<td>...</td>
|
||
<td>0.124731</td>
|
||
<td>0.555402</td>
|
||
<td>28.810794</td>
|
||
<td>0.264610</td>
|
||
<td>-0.121081</td>
|
||
<td>5.759406</td>
|
||
<td>0.150827</td>
|
||
<td>4.964984</td>
|
||
<td>0.027120</td>
|
||
<td>0.400770</td>
|
||
</tr>
|
||
<tr>
|
||
<th>3</th>
|
||
<td>1849-060319-3</td>
|
||
<td>True</td>
|
||
<td>1849</td>
|
||
<td>NaN</td>
|
||
<td>False</td>
|
||
<td>True</td>
|
||
<td>3</td>
|
||
<td>NaN</td>
|
||
<td>False</td>
|
||
<td>baseline ii</td>
|
||
<td>...</td>
|
||
<td>0.101911</td>
|
||
<td>0.492250</td>
|
||
<td>9.462322</td>
|
||
<td>0.344280</td>
|
||
<td>0.215829</td>
|
||
<td>6.033364</td>
|
||
<td>0.110495</td>
|
||
<td>0.239996</td>
|
||
<td>0.054074</td>
|
||
<td>0.269461</td>
|
||
</tr>
|
||
<tr>
|
||
<th>4</th>
|
||
<td>1849-060319-3</td>
|
||
<td>True</td>
|
||
<td>1849</td>
|
||
<td>NaN</td>
|
||
<td>False</td>
|
||
<td>True</td>
|
||
<td>3</td>
|
||
<td>NaN</td>
|
||
<td>False</td>
|
||
<td>baseline ii</td>
|
||
<td>...</td>
|
||
<td>0.053810</td>
|
||
<td>0.559905</td>
|
||
<td>0.000000</td>
|
||
<td>0.342799</td>
|
||
<td>0.218967</td>
|
||
<td>5.768170</td>
|
||
<td>0.054762</td>
|
||
<td>0.524990</td>
|
||
<td>0.144702</td>
|
||
<td>0.133410</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
<p>5 rows × 46 columns</p>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
|
||
</div><div class="inner_cell">
|
||
<div class="text_cell_render border-box-sizing rendered_html">
|
||
<h1 id="Statistics-about-all-cell-sessions">Statistics about all cell-sessions<a class="anchor-link" href="#Statistics-about-all-cell-sessions">¶</a></h1>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [8]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">'stimulated'</span><span class="p">)</span><span class="o">.</span><span class="n">count</span><span class="p">()[</span><span class="s1">'action'</span><span class="p">]</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_wrapper">
|
||
<div class="output">
|
||
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt output_prompt">Out[8]:</div>
|
||
|
||
|
||
|
||
|
||
<div class="output_text output_subarea output_execute_result">
|
||
<pre>stimulated
|
||
False 624
|
||
True 660
|
||
Name: action, dtype: int64</pre>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [9]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span><span class="p">[</span><span class="s1">'unit_day'</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">unit_idnum</span><span class="p">)</span> <span class="o">+</span> <span class="s1">'_'</span> <span class="o">+</span> <span class="n">x</span><span class="o">.</span><span class="n">action</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">'-'</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
|
||
</div><div class="inner_cell">
|
||
<div class="text_cell_render border-box-sizing rendered_html">
|
||
<h1 id="Find-all-cells-with-gridness-above-threshold">Find all cells with gridness above threshold<a class="anchor-link" href="#Find-all-cells-with-gridness-above-threshold">¶</a></h1>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [10]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">query</span> <span class="o">=</span> <span class="p">(</span>
|
||
<span class="s1">'gridness > gridness_threshold and '</span>
|
||
<span class="s1">'information_rate > information_rate_threshold and '</span>
|
||
<span class="s1">'gridness > .2 and '</span>
|
||
<span class="s1">'average_rate < 25'</span>
|
||
<span class="p">)</span>
|
||
<span class="n">sessions_above_threshold</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">query</span><span class="p">)</span>
|
||
<span class="nb">print</span><span class="p">(</span><span class="s2">"Number of sessions above threshold"</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">sessions_above_threshold</span><span class="p">))</span>
|
||
<span class="nb">print</span><span class="p">(</span><span class="s2">"Number of animals"</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">sessions_above_threshold</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">'entity'</span><span class="p">])))</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_wrapper">
|
||
<div class="output">
|
||
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt"></div>
|
||
|
||
|
||
<div class="output_subarea output_stream output_stdout output_text">
|
||
<pre>Number of sessions above threshold 194
|
||
Number of animals 4
|
||
</pre>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [11]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">gridcell_sessions</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">data</span><span class="o">.</span><span class="n">unit_day</span><span class="o">.</span><span class="n">isin</span><span class="p">(</span><span class="n">sessions_above_threshold</span><span class="o">.</span><span class="n">unit_day</span><span class="o">.</span><span class="n">values</span><span class="p">)]</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [12]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="s2">"Number of gridcells"</span><span class="p">,</span> <span class="n">gridcell_sessions</span><span class="o">.</span><span class="n">unit_idnum</span><span class="o">.</span><span class="n">nunique</span><span class="p">())</span>
|
||
<span class="nb">print</span><span class="p">(</span><span class="s2">"Number of gridcell recordings"</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">gridcell_sessions</span><span class="p">))</span>
|
||
<span class="nb">print</span><span class="p">(</span><span class="s2">"Number of animals"</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">gridcell_sessions</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">'entity'</span><span class="p">])))</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_wrapper">
|
||
<div class="output">
|
||
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt"></div>
|
||
|
||
|
||
<div class="output_subarea output_stream output_stdout output_text">
|
||
<pre>Number of gridcells 139
|
||
Number of gridcell recordings 231
|
||
Number of animals 4
|
||
</pre>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [13]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">baseline_i</span> <span class="o">=</span> <span class="n">gridcell_sessions</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">'baseline and Hz11'</span><span class="p">)</span>
|
||
<span class="n">stimulated_11</span> <span class="o">=</span> <span class="n">gridcell_sessions</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">'frequency==11 and stim_location=="ms"'</span><span class="p">)</span>
|
||
|
||
<span class="n">baseline_ii</span> <span class="o">=</span> <span class="n">gridcell_sessions</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">'baseline and Hz30'</span><span class="p">)</span>
|
||
<span class="n">stimulated_30</span> <span class="o">=</span> <span class="n">gridcell_sessions</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">'frequency==30 and stim_location=="ms"'</span><span class="p">)</span>
|
||
|
||
<span class="nb">print</span><span class="p">(</span><span class="s2">"Number of gridcells in baseline i sessions"</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">baseline_i</span><span class="p">))</span>
|
||
<span class="nb">print</span><span class="p">(</span><span class="s2">"Number of gridcells in stimulated 11Hz ms sessions"</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">stimulated_11</span><span class="p">))</span>
|
||
|
||
<span class="nb">print</span><span class="p">(</span><span class="s2">"Number of gridcells in baseline ii sessions"</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">baseline_ii</span><span class="p">))</span>
|
||
<span class="nb">print</span><span class="p">(</span><span class="s2">"Number of gridcells in stimulated 30Hz ms sessions"</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">stimulated_30</span><span class="p">))</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_wrapper">
|
||
<div class="output">
|
||
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt"></div>
|
||
|
||
|
||
<div class="output_subarea output_stream output_stdout output_text">
|
||
<pre>Number of gridcells in baseline i sessions 66
|
||
Number of gridcells in stimulated 11Hz ms sessions 61
|
||
Number of gridcells in baseline ii sessions 56
|
||
Number of gridcells in stimulated 30Hz ms sessions 40
|
||
</pre>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
|
||
</div><div class="inner_cell">
|
||
<div class="text_cell_render border-box-sizing rendered_html">
|
||
<h1 id="slice-unique-units">slice unique units<a class="anchor-link" href="#slice-unique-units">¶</a></h1>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [14]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">baseline_i</span> <span class="o">=</span> <span class="n">baseline_i</span><span class="o">.</span><span class="n">drop_duplicates</span><span class="p">(</span><span class="s1">'unit_id'</span><span class="p">)</span>
|
||
<span class="n">stimulated_11</span> <span class="o">=</span> <span class="n">stimulated_11</span><span class="o">.</span><span class="n">drop_duplicates</span><span class="p">(</span><span class="s1">'unit_id'</span><span class="p">)</span>
|
||
<span class="n">baseline_ii</span> <span class="o">=</span> <span class="n">baseline_ii</span><span class="o">.</span><span class="n">drop_duplicates</span><span class="p">(</span><span class="s1">'unit_id'</span><span class="p">)</span>
|
||
<span class="n">stimulated_30</span> <span class="o">=</span> <span class="n">stimulated_30</span><span class="o">.</span><span class="n">drop_duplicates</span><span class="p">(</span><span class="s1">'unit_id'</span><span class="p">)</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [15]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="s2">"Number of gridcells in baseline i sessions"</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">baseline_i</span><span class="p">))</span>
|
||
<span class="nb">print</span><span class="p">(</span><span class="s2">"Number of gridcells in stimulated 11Hz ms sessions"</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">stimulated_11</span><span class="p">))</span>
|
||
|
||
<span class="nb">print</span><span class="p">(</span><span class="s2">"Number of gridcells in baseline ii sessions"</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">baseline_ii</span><span class="p">))</span>
|
||
<span class="nb">print</span><span class="p">(</span><span class="s2">"Number of gridcells in stimulated 30Hz ms sessions"</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">stimulated_30</span><span class="p">))</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_wrapper">
|
||
<div class="output">
|
||
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt"></div>
|
||
|
||
|
||
<div class="output_subarea output_stream output_stdout output_text">
|
||
<pre>Number of gridcells in baseline i sessions 63
|
||
Number of gridcells in stimulated 11Hz ms sessions 58
|
||
Number of gridcells in baseline ii sessions 52
|
||
Number of gridcells in stimulated 30Hz ms sessions 38
|
||
</pre>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
|
||
</div><div class="inner_cell">
|
||
<div class="text_cell_render border-box-sizing rendered_html">
|
||
<h1 id="Calculate-statistics">Calculate statistics<a class="anchor-link" href="#Calculate-statistics">¶</a></h1>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [16]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">columns</span> <span class="o">=</span> <span class="p">[</span>
|
||
<span class="s1">'average_rate'</span><span class="p">,</span> <span class="s1">'gridness'</span><span class="p">,</span> <span class="s1">'sparsity'</span><span class="p">,</span> <span class="s1">'selectivity'</span><span class="p">,</span> <span class="s1">'information_specificity'</span><span class="p">,</span>
|
||
<span class="s1">'max_rate'</span><span class="p">,</span> <span class="s1">'information_rate'</span><span class="p">,</span> <span class="s1">'interspike_interval_cv'</span><span class="p">,</span>
|
||
<span class="s1">'in_field_mean_rate'</span><span class="p">,</span> <span class="s1">'out_field_mean_rate'</span><span class="p">,</span>
|
||
<span class="s1">'burst_event_ratio'</span><span class="p">,</span> <span class="s1">'specificity'</span><span class="p">,</span> <span class="s1">'speed_score'</span>
|
||
<span class="p">]</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [17]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">gridcell_sessions</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">'stimulated'</span><span class="p">)[</span><span class="n">columns</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_wrapper">
|
||
<div class="output">
|
||
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt output_prompt">Out[17]:</div>
|
||
|
||
|
||
|
||
<div class="output_html rendered_html output_subarea output_execute_result">
|
||
<div>
|
||
<style scoped>
|
||
.dataframe tbody tr th:only-of-type {
|
||
vertical-align: middle;
|
||
}
|
||
|
||
.dataframe tbody tr th {
|
||
vertical-align: top;
|
||
}
|
||
|
||
.dataframe thead th {
|
||
text-align: right;
|
||
}
|
||
</style>
|
||
<table border="1" class="dataframe">
|
||
<thead>
|
||
<tr style="text-align: right;">
|
||
<th></th>
|
||
<th>average_rate</th>
|
||
<th>gridness</th>
|
||
<th>sparsity</th>
|
||
<th>selectivity</th>
|
||
<th>information_specificity</th>
|
||
<th>max_rate</th>
|
||
<th>information_rate</th>
|
||
<th>interspike_interval_cv</th>
|
||
<th>in_field_mean_rate</th>
|
||
<th>out_field_mean_rate</th>
|
||
<th>burst_event_ratio</th>
|
||
<th>specificity</th>
|
||
<th>speed_score</th>
|
||
</tr>
|
||
<tr>
|
||
<th>stimulated</th>
|
||
<th></th>
|
||
<th></th>
|
||
<th></th>
|
||
<th></th>
|
||
<th></th>
|
||
<th></th>
|
||
<th></th>
|
||
<th></th>
|
||
<th></th>
|
||
<th></th>
|
||
<th></th>
|
||
<th></th>
|
||
<th></th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
<tr>
|
||
<th>False</th>
|
||
<td>8.904501</td>
|
||
<td>0.521371</td>
|
||
<td>0.618384</td>
|
||
<td>5.934539</td>
|
||
<td>0.234632</td>
|
||
<td>37.437808</td>
|
||
<td>1.246546</td>
|
||
<td>2.404647</td>
|
||
<td>14.717635</td>
|
||
<td>6.346875</td>
|
||
<td>0.211840</td>
|
||
<td>0.478775</td>
|
||
<td>0.135495</td>
|
||
</tr>
|
||
<tr>
|
||
<th>True</th>
|
||
<td>8.392252</td>
|
||
<td>0.440296</td>
|
||
<td>0.655698</td>
|
||
<td>5.977408</td>
|
||
<td>0.215736</td>
|
||
<td>33.716478</td>
|
||
<td>0.964787</td>
|
||
<td>2.223636</td>
|
||
<td>12.936021</td>
|
||
<td>6.122228</td>
|
||
<td>0.197264</td>
|
||
<td>0.455878</td>
|
||
<td>0.104697</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [18]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">gridcell_sessions</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">'baseline'</span><span class="p">)[</span><span class="n">columns</span><span class="p">]</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_wrapper">
|
||
<div class="output">
|
||
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt output_prompt">Out[18]:</div>
|
||
|
||
|
||
|
||
<div class="output_html rendered_html output_subarea output_execute_result">
|
||
<div>
|
||
<style scoped>
|
||
.dataframe tbody tr th:only-of-type {
|
||
vertical-align: middle;
|
||
}
|
||
|
||
.dataframe tbody tr th {
|
||
vertical-align: top;
|
||
}
|
||
|
||
.dataframe thead th {
|
||
text-align: right;
|
||
}
|
||
</style>
|
||
<table border="1" class="dataframe">
|
||
<thead>
|
||
<tr style="text-align: right;">
|
||
<th></th>
|
||
<th>average_rate</th>
|
||
<th>gridness</th>
|
||
<th>sparsity</th>
|
||
<th>selectivity</th>
|
||
<th>information_specificity</th>
|
||
<th>max_rate</th>
|
||
<th>information_rate</th>
|
||
<th>interspike_interval_cv</th>
|
||
<th>in_field_mean_rate</th>
|
||
<th>out_field_mean_rate</th>
|
||
<th>burst_event_ratio</th>
|
||
<th>specificity</th>
|
||
<th>speed_score</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
<tr>
|
||
<th>count</th>
|
||
<td>129.000000</td>
|
||
<td>129.000000</td>
|
||
<td>129.000000</td>
|
||
<td>129.000000</td>
|
||
<td>129.000000</td>
|
||
<td>129.000000</td>
|
||
<td>129.000000</td>
|
||
<td>129.000000</td>
|
||
<td>129.000000</td>
|
||
<td>129.000000</td>
|
||
<td>129.000000</td>
|
||
<td>129.000000</td>
|
||
<td>129.000000</td>
|
||
</tr>
|
||
<tr>
|
||
<th>mean</th>
|
||
<td>8.904501</td>
|
||
<td>0.521371</td>
|
||
<td>0.618384</td>
|
||
<td>5.934539</td>
|
||
<td>0.234632</td>
|
||
<td>37.437808</td>
|
||
<td>1.246546</td>
|
||
<td>2.404647</td>
|
||
<td>14.717635</td>
|
||
<td>6.346875</td>
|
||
<td>0.211840</td>
|
||
<td>0.478775</td>
|
||
<td>0.135495</td>
|
||
</tr>
|
||
<tr>
|
||
<th>std</th>
|
||
<td>7.605598</td>
|
||
<td>0.337607</td>
|
||
<td>0.187934</td>
|
||
<td>3.217366</td>
|
||
<td>0.200726</td>
|
||
<td>16.300117</td>
|
||
<td>0.605971</td>
|
||
<td>0.756407</td>
|
||
<td>9.267522</td>
|
||
<td>6.805499</td>
|
||
<td>0.080143</td>
|
||
<td>0.209531</td>
|
||
<td>0.072831</td>
|
||
</tr>
|
||
<tr>
|
||
<th>min</th>
|
||
<td>0.478349</td>
|
||
<td>-0.684924</td>
|
||
<td>0.200066</td>
|
||
<td>1.533216</td>
|
||
<td>0.007807</td>
|
||
<td>3.346027</td>
|
||
<td>0.117638</td>
|
||
<td>1.304387</td>
|
||
<td>0.924066</td>
|
||
<td>0.159076</td>
|
||
<td>0.025000</td>
|
||
<td>0.071681</td>
|
||
<td>-0.025629</td>
|
||
</tr>
|
||
<tr>
|
||
<th>25%</th>
|
||
<td>3.518392</td>
|
||
<td>0.316326</td>
|
||
<td>0.437499</td>
|
||
<td>3.729863</td>
|
||
<td>0.093252</td>
|
||
<td>26.948843</td>
|
||
<td>0.786753</td>
|
||
<td>1.872991</td>
|
||
<td>7.701156</td>
|
||
<td>1.669844</td>
|
||
<td>0.160795</td>
|
||
<td>0.310822</td>
|
||
<td>0.084280</td>
|
||
</tr>
|
||
<tr>
|
||
<th>50%</th>
|
||
<td>6.456882</td>
|
||
<td>0.529243</td>
|
||
<td>0.642167</td>
|
||
<td>4.794970</td>
|
||
<td>0.180286</td>
|
||
<td>35.064991</td>
|
||
<td>1.156087</td>
|
||
<td>2.221185</td>
|
||
<td>12.212289</td>
|
||
<td>4.314913</td>
|
||
<td>0.210240</td>
|
||
<td>0.436340</td>
|
||
<td>0.128603</td>
|
||
</tr>
|
||
<tr>
|
||
<th>75%</th>
|
||
<td>12.721755</td>
|
||
<td>0.783682</td>
|
||
<td>0.758097</td>
|
||
<td>7.439464</td>
|
||
<td>0.312487</td>
|
||
<td>44.324873</td>
|
||
<td>1.592948</td>
|
||
<td>2.770624</td>
|
||
<td>20.974026</td>
|
||
<td>9.121505</td>
|
||
<td>0.267568</td>
|
||
<td>0.624834</td>
|
||
<td>0.188948</td>
|
||
</tr>
|
||
<tr>
|
||
<th>max</th>
|
||
<td>59.365312</td>
|
||
<td>1.148979</td>
|
||
<td>0.976157</td>
|
||
<td>18.975875</td>
|
||
<td>1.243307</td>
|
||
<td>90.160158</td>
|
||
<td>3.456796</td>
|
||
<td>5.671362</td>
|
||
<td>66.350754</td>
|
||
<td>56.255544</td>
|
||
<td>0.393306</td>
|
||
<td>1.066391</td>
|
||
<td>0.297548</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [19]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">gridcell_sessions</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">"stimulated"</span><span class="p">)[</span><span class="n">columns</span><span class="p">]</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_wrapper">
|
||
<div class="output">
|
||
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt output_prompt">Out[19]:</div>
|
||
|
||
|
||
|
||
<div class="output_html rendered_html output_subarea output_execute_result">
|
||
<div>
|
||
<style scoped>
|
||
.dataframe tbody tr th:only-of-type {
|
||
vertical-align: middle;
|
||
}
|
||
|
||
.dataframe tbody tr th {
|
||
vertical-align: top;
|
||
}
|
||
|
||
.dataframe thead th {
|
||
text-align: right;
|
||
}
|
||
</style>
|
||
<table border="1" class="dataframe">
|
||
<thead>
|
||
<tr style="text-align: right;">
|
||
<th></th>
|
||
<th>average_rate</th>
|
||
<th>gridness</th>
|
||
<th>sparsity</th>
|
||
<th>selectivity</th>
|
||
<th>information_specificity</th>
|
||
<th>max_rate</th>
|
||
<th>information_rate</th>
|
||
<th>interspike_interval_cv</th>
|
||
<th>in_field_mean_rate</th>
|
||
<th>out_field_mean_rate</th>
|
||
<th>burst_event_ratio</th>
|
||
<th>specificity</th>
|
||
<th>speed_score</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
<tr>
|
||
<th>count</th>
|
||
<td>102.000000</td>
|
||
<td>102.000000</td>
|
||
<td>102.000000</td>
|
||
<td>102.000000</td>
|
||
<td>102.000000</td>
|
||
<td>102.000000</td>
|
||
<td>102.000000</td>
|
||
<td>102.000000</td>
|
||
<td>102.000000</td>
|
||
<td>102.000000</td>
|
||
<td>102.000000</td>
|
||
<td>102.000000</td>
|
||
<td>102.000000</td>
|
||
</tr>
|
||
<tr>
|
||
<th>mean</th>
|
||
<td>8.392252</td>
|
||
<td>0.440296</td>
|
||
<td>0.655698</td>
|
||
<td>5.977408</td>
|
||
<td>0.215736</td>
|
||
<td>33.716478</td>
|
||
<td>0.964787</td>
|
||
<td>2.223636</td>
|
||
<td>12.936021</td>
|
||
<td>6.122228</td>
|
||
<td>0.197264</td>
|
||
<td>0.455878</td>
|
||
<td>0.104697</td>
|
||
</tr>
|
||
<tr>
|
||
<th>std</th>
|
||
<td>6.057001</td>
|
||
<td>0.357038</td>
|
||
<td>0.211704</td>
|
||
<td>3.702400</td>
|
||
<td>0.235916</td>
|
||
<td>13.249312</td>
|
||
<td>0.572972</td>
|
||
<td>0.819734</td>
|
||
<td>7.211895</td>
|
||
<td>5.366332</td>
|
||
<td>0.082164</td>
|
||
<td>0.236777</td>
|
||
<td>0.081989</td>
|
||
</tr>
|
||
<tr>
|
||
<th>min</th>
|
||
<td>0.198337</td>
|
||
<td>-0.516914</td>
|
||
<td>0.172684</td>
|
||
<td>1.930026</td>
|
||
<td>0.013088</td>
|
||
<td>2.846281</td>
|
||
<td>0.063173</td>
|
||
<td>1.110672</td>
|
||
<td>0.524639</td>
|
||
<td>0.099060</td>
|
||
<td>0.008475</td>
|
||
<td>0.097718</td>
|
||
<td>-0.138128</td>
|
||
</tr>
|
||
<tr>
|
||
<th>25%</th>
|
||
<td>3.579184</td>
|
||
<td>0.265949</td>
|
||
<td>0.458493</td>
|
||
<td>3.044303</td>
|
||
<td>0.066656</td>
|
||
<td>25.555110</td>
|
||
<td>0.564279</td>
|
||
<td>1.620472</td>
|
||
<td>7.555760</td>
|
||
<td>1.733624</td>
|
||
<td>0.146755</td>
|
||
<td>0.248057</td>
|
||
<td>0.056903</td>
|
||
</tr>
|
||
<tr>
|
||
<th>50%</th>
|
||
<td>6.838561</td>
|
||
<td>0.399053</td>
|
||
<td>0.699561</td>
|
||
<td>4.891855</td>
|
||
<td>0.128562</td>
|
||
<td>31.402558</td>
|
||
<td>0.862413</td>
|
||
<td>2.084020</td>
|
||
<td>11.451560</td>
|
||
<td>4.234871</td>
|
||
<td>0.192948</td>
|
||
<td>0.376143</td>
|
||
<td>0.106314</td>
|
||
</tr>
|
||
<tr>
|
||
<th>75%</th>
|
||
<td>11.934599</td>
|
||
<td>0.749561</td>
|
||
<td>0.842332</td>
|
||
<td>8.001587</td>
|
||
<td>0.300713</td>
|
||
<td>42.334786</td>
|
||
<td>1.190324</td>
|
||
<td>2.673991</td>
|
||
<td>17.335356</td>
|
||
<td>8.583415</td>
|
||
<td>0.247405</td>
|
||
<td>0.684623</td>
|
||
<td>0.149313</td>
|
||
</tr>
|
||
<tr>
|
||
<th>max</th>
|
||
<td>24.858738</td>
|
||
<td>1.155123</td>
|
||
<td>0.967003</td>
|
||
<td>19.911477</td>
|
||
<td>1.359164</td>
|
||
<td>65.990793</td>
|
||
<td>3.182285</td>
|
||
<td>6.526960</td>
|
||
<td>34.489913</td>
|
||
<td>21.696265</td>
|
||
<td>0.393037</td>
|
||
<td>1.091064</td>
|
||
<td>0.390079</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
|
||
</div><div class="inner_cell">
|
||
<div class="text_cell_render border-box-sizing rendered_html">
|
||
<h1 id="Create-nice-table">Create nice table<a class="anchor-link" href="#Create-nice-table">¶</a></h1>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [19]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">summarize</span><span class="p">(</span><span class="n">data</span><span class="p">):</span>
|
||
<span class="k">return</span> <span class="s2">"</span><span class="si">{:.2f}</span><span class="s2"> ± </span><span class="si">{:.2f}</span><span class="s2"> (</span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">mean</span><span class="p">(),</span> <span class="n">data</span><span class="o">.</span><span class="n">sem</span><span class="p">(),</span> <span class="nb">sum</span><span class="p">(</span><span class="o">~</span><span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">data</span><span class="p">)))</span>
|
||
|
||
|
||
<span class="k">def</span> <span class="nf">MWU</span><span class="p">(</span><span class="n">column</span><span class="p">,</span> <span class="n">stim</span><span class="p">,</span> <span class="n">base</span><span class="p">):</span>
|
||
<span class="sd">'''</span>
|
||
<span class="sd"> Mann Whitney U</span>
|
||
<span class="sd"> '''</span>
|
||
<span class="n">Uvalue</span><span class="p">,</span> <span class="n">pvalue</span> <span class="o">=</span> <span class="n">scipy</span><span class="o">.</span><span class="n">stats</span><span class="o">.</span><span class="n">mannwhitneyu</span><span class="p">(</span>
|
||
<span class="n">stim</span><span class="p">[</span><span class="n">column</span><span class="p">]</span><span class="o">.</span><span class="n">dropna</span><span class="p">(),</span>
|
||
<span class="n">base</span><span class="p">[</span><span class="n">column</span><span class="p">]</span><span class="o">.</span><span class="n">dropna</span><span class="p">(),</span>
|
||
<span class="n">alternative</span><span class="o">=</span><span class="s1">'two-sided'</span><span class="p">)</span>
|
||
|
||
<span class="k">return</span> <span class="s2">"</span><span class="si">{:.2f}</span><span class="s2">, </span><span class="si">{:.3f}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">Uvalue</span><span class="p">,</span> <span class="n">pvalue</span><span class="p">)</span>
|
||
|
||
|
||
<span class="k">def</span> <span class="nf">PRS</span><span class="p">(</span><span class="n">column</span><span class="p">,</span> <span class="n">stim</span><span class="p">,</span> <span class="n">base</span><span class="p">):</span>
|
||
<span class="sd">'''</span>
|
||
<span class="sd"> Permutation ReSampling</span>
|
||
<span class="sd"> '''</span>
|
||
<span class="n">pvalue</span><span class="p">,</span> <span class="n">observed_diff</span><span class="p">,</span> <span class="n">diffs</span> <span class="o">=</span> <span class="n">permutation_resampling</span><span class="p">(</span>
|
||
<span class="n">stim</span><span class="p">[</span><span class="n">column</span><span class="p">]</span><span class="o">.</span><span class="n">dropna</span><span class="p">(),</span>
|
||
<span class="n">base</span><span class="p">[</span><span class="n">column</span><span class="p">]</span><span class="o">.</span><span class="n">dropna</span><span class="p">(),</span> <span class="n">statistic</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">median</span><span class="p">)</span>
|
||
|
||
<span class="k">return</span> <span class="s2">"</span><span class="si">{:.2f}</span><span class="s2">, </span><span class="si">{:.3f}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">observed_diff</span><span class="p">,</span> <span class="n">pvalue</span><span class="p">)</span>
|
||
|
||
|
||
<span class="k">def</span> <span class="nf">rename</span><span class="p">(</span><span class="n">name</span><span class="p">):</span>
|
||
<span class="k">return</span> <span class="n">name</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"_field"</span><span class="p">,</span> <span class="s2">"-field"</span><span class="p">)</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"_"</span><span class="p">,</span> <span class="s2">" "</span><span class="p">)</span><span class="o">.</span><span class="n">capitalize</span><span class="p">()</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [20]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">_stim_data</span> <span class="o">=</span> <span class="n">gridcell_sessions</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">'stimulated'</span><span class="p">)</span>
|
||
<span class="n">_base_data</span> <span class="o">=</span> <span class="n">gridcell_sessions</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">'baseline and i'</span><span class="p">)</span>
|
||
|
||
<span class="n">result</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">()</span>
|
||
|
||
<span class="n">result</span><span class="p">[</span><span class="s1">'Baseline I'</span><span class="p">]</span> <span class="o">=</span> <span class="n">_base_data</span><span class="p">[</span><span class="n">columns</span><span class="p">]</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">summarize</span><span class="p">)</span>
|
||
<span class="n">result</span><span class="p">[</span><span class="s1">'Stimulated'</span><span class="p">]</span> <span class="o">=</span> <span class="n">_stim_data</span><span class="p">[</span><span class="n">columns</span><span class="p">]</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">summarize</span><span class="p">)</span>
|
||
|
||
|
||
<span class="n">result</span><span class="o">.</span><span class="n">index</span> <span class="o">=</span> <span class="nb">map</span><span class="p">(</span><span class="n">rename</span><span class="p">,</span> <span class="n">result</span><span class="o">.</span><span class="n">index</span><span class="p">)</span>
|
||
|
||
<span class="n">result</span><span class="p">[</span><span class="s1">'MWU'</span><span class="p">]</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">MWU</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">_stim_data</span><span class="p">,</span> <span class="n">_base_data</span><span class="p">),</span> <span class="n">columns</span><span class="p">))</span>
|
||
<span class="n">result</span><span class="p">[</span><span class="s1">'PRS'</span><span class="p">]</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">PRS</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">_stim_data</span><span class="p">,</span> <span class="n">_base_data</span><span class="p">),</span> <span class="n">columns</span><span class="p">))</span>
|
||
|
||
<span class="n">result</span><span class="o">.</span><span class="n">to_latex</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"statistics"</span> <span class="o">/</span> <span class="s2">"statistics.tex"</span><span class="p">)</span>
|
||
<span class="n">result</span><span class="o">.</span><span class="n">to_latex</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"statistics"</span> <span class="o">/</span> <span class="s2">"statistics.csv"</span><span class="p">)</span>
|
||
<span class="n">result</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_wrapper">
|
||
<div class="output">
|
||
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt output_prompt">Out[20]:</div>
|
||
|
||
|
||
|
||
<div class="output_html rendered_html output_subarea output_execute_result">
|
||
<div>
|
||
<style scoped>
|
||
.dataframe tbody tr th:only-of-type {
|
||
vertical-align: middle;
|
||
}
|
||
|
||
.dataframe tbody tr th {
|
||
vertical-align: top;
|
||
}
|
||
|
||
.dataframe thead th {
|
||
text-align: right;
|
||
}
|
||
</style>
|
||
<table border="1" class="dataframe">
|
||
<thead>
|
||
<tr style="text-align: right;">
|
||
<th></th>
|
||
<th>Baseline I</th>
|
||
<th>Stimulated</th>
|
||
<th>MWU</th>
|
||
<th>PRS</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
<tr>
|
||
<th>Average rate</th>
|
||
<td>8.61 ± 0.75 (71)</td>
|
||
<td>8.39 ± 0.60 (102)</td>
|
||
<td>3599.00, 0.947</td>
|
||
<td>0.55, 0.764</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Gridness</th>
|
||
<td>0.51 ± 0.04 (71)</td>
|
||
<td>0.44 ± 0.04 (102)</td>
|
||
<td>3208.00, 0.203</td>
|
||
<td>0.13, 0.141</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Sparsity</th>
|
||
<td>0.61 ± 0.02 (71)</td>
|
||
<td>0.66 ± 0.02 (102)</td>
|
||
<td>4170.00, 0.091</td>
|
||
<td>0.06, 0.179</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Selectivity</th>
|
||
<td>5.91 ± 0.37 (71)</td>
|
||
<td>5.98 ± 0.37 (102)</td>
|
||
<td>3460.00, 0.620</td>
|
||
<td>0.10, 0.869</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Information specificity</th>
|
||
<td>0.25 ± 0.03 (71)</td>
|
||
<td>0.22 ± 0.02 (102)</td>
|
||
<td>2944.00, 0.037</td>
|
||
<td>0.05, 0.033</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Max rate</th>
|
||
<td>36.55 ± 1.78 (71)</td>
|
||
<td>33.72 ± 1.31 (102)</td>
|
||
<td>3291.00, 0.309</td>
|
||
<td>3.19, 0.195</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Information rate</th>
|
||
<td>1.30 ± 0.07 (71)</td>
|
||
<td>0.96 ± 0.06 (102)</td>
|
||
<td>2385.00, 0.000</td>
|
||
<td>0.32, 0.000</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Interspike interval cv</th>
|
||
<td>2.42 ± 0.10 (71)</td>
|
||
<td>2.22 ± 0.08 (102)</td>
|
||
<td>3034.00, 0.070</td>
|
||
<td>0.12, 0.392</td>
|
||
</tr>
|
||
<tr>
|
||
<th>In-field mean rate</th>
|
||
<td>14.43 ± 1.00 (71)</td>
|
||
<td>12.94 ± 0.71 (102)</td>
|
||
<td>3368.00, 0.436</td>
|
||
<td>0.39, 0.812</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Out-field mean rate</th>
|
||
<td>6.05 ± 0.62 (71)</td>
|
||
<td>6.12 ± 0.53 (102)</td>
|
||
<td>3600.00, 0.950</td>
|
||
<td>0.08, 0.946</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Burst event ratio</th>
|
||
<td>0.22 ± 0.01 (71)</td>
|
||
<td>0.20 ± 0.01 (102)</td>
|
||
<td>3090.00, 0.102</td>
|
||
<td>0.02, 0.124</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Specificity</th>
|
||
<td>0.48 ± 0.03 (71)</td>
|
||
<td>0.46 ± 0.02 (102)</td>
|
||
<td>3268.00, 0.277</td>
|
||
<td>0.06, 0.356</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Speed score</th>
|
||
<td>0.14 ± 0.01 (71)</td>
|
||
<td>0.10 ± 0.01 (102)</td>
|
||
<td>2546.00, 0.001</td>
|
||
<td>0.05, 0.000</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [21]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">_stim_data</span> <span class="o">=</span> <span class="n">stimulated_11</span>
|
||
<span class="n">_base_data</span> <span class="o">=</span> <span class="n">baseline_i</span>
|
||
|
||
<span class="n">result</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">()</span>
|
||
|
||
<span class="n">result</span><span class="p">[</span><span class="s1">'Baseline I'</span><span class="p">]</span> <span class="o">=</span> <span class="n">_base_data</span><span class="p">[</span><span class="n">columns</span><span class="p">]</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">summarize</span><span class="p">)</span>
|
||
<span class="n">result</span><span class="p">[</span><span class="s1">'11 Hz'</span><span class="p">]</span> <span class="o">=</span> <span class="n">_stim_data</span><span class="p">[</span><span class="n">columns</span><span class="p">]</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">summarize</span><span class="p">)</span>
|
||
|
||
|
||
<span class="n">result</span><span class="o">.</span><span class="n">index</span> <span class="o">=</span> <span class="nb">map</span><span class="p">(</span><span class="n">rename</span><span class="p">,</span> <span class="n">result</span><span class="o">.</span><span class="n">index</span><span class="p">)</span>
|
||
|
||
<span class="n">result</span><span class="p">[</span><span class="s1">'MWU'</span><span class="p">]</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">MWU</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">_stim_data</span><span class="p">,</span> <span class="n">_base_data</span><span class="p">),</span> <span class="n">columns</span><span class="p">))</span>
|
||
<span class="n">result</span><span class="p">[</span><span class="s1">'PRS'</span><span class="p">]</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">PRS</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">_stim_data</span><span class="p">,</span> <span class="n">_base_data</span><span class="p">),</span> <span class="n">columns</span><span class="p">))</span>
|
||
|
||
|
||
<span class="n">result</span><span class="o">.</span><span class="n">to_latex</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"statistics"</span> <span class="o">/</span> <span class="s2">"statistics_11.tex"</span><span class="p">)</span>
|
||
<span class="n">result</span><span class="o">.</span><span class="n">to_latex</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"statistics"</span> <span class="o">/</span> <span class="s2">"statistics_11.csv"</span><span class="p">)</span>
|
||
<span class="n">result</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_wrapper">
|
||
<div class="output">
|
||
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt output_prompt">Out[21]:</div>
|
||
|
||
|
||
|
||
<div class="output_html rendered_html output_subarea output_execute_result">
|
||
<div>
|
||
<style scoped>
|
||
.dataframe tbody tr th:only-of-type {
|
||
vertical-align: middle;
|
||
}
|
||
|
||
.dataframe tbody tr th {
|
||
vertical-align: top;
|
||
}
|
||
|
||
.dataframe thead th {
|
||
text-align: right;
|
||
}
|
||
</style>
|
||
<table border="1" class="dataframe">
|
||
<thead>
|
||
<tr style="text-align: right;">
|
||
<th></th>
|
||
<th>Baseline I</th>
|
||
<th>11 Hz</th>
|
||
<th>MWU</th>
|
||
<th>PRS</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
<tr>
|
||
<th>Average rate</th>
|
||
<td>8.96 ± 0.80 (63)</td>
|
||
<td>8.80 ± 0.85 (58)</td>
|
||
<td>1781.00, 0.813</td>
|
||
<td>0.04, 0.972</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Gridness</th>
|
||
<td>0.53 ± 0.05 (63)</td>
|
||
<td>0.41 ± 0.05 (58)</td>
|
||
<td>1459.00, 0.057</td>
|
||
<td>0.21, 0.043</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Sparsity</th>
|
||
<td>0.63 ± 0.02 (63)</td>
|
||
<td>0.67 ± 0.03 (58)</td>
|
||
<td>2138.00, 0.107</td>
|
||
<td>0.07, 0.119</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Selectivity</th>
|
||
<td>5.76 ± 0.40 (63)</td>
|
||
<td>5.69 ± 0.50 (58)</td>
|
||
<td>1687.00, 0.469</td>
|
||
<td>0.00, 0.982</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Information specificity</th>
|
||
<td>0.24 ± 0.03 (63)</td>
|
||
<td>0.21 ± 0.03 (58)</td>
|
||
<td>1452.00, 0.052</td>
|
||
<td>0.06, 0.032</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Max rate</th>
|
||
<td>37.39 ± 1.91 (63)</td>
|
||
<td>33.11 ± 1.85 (58)</td>
|
||
<td>1538.00, 0.134</td>
|
||
<td>4.06, 0.122</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Information rate</th>
|
||
<td>1.31 ± 0.08 (63)</td>
|
||
<td>0.94 ± 0.08 (58)</td>
|
||
<td>1143.00, 0.000</td>
|
||
<td>0.32, 0.003</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Interspike interval cv</th>
|
||
<td>2.39 ± 0.10 (63)</td>
|
||
<td>2.19 ± 0.12 (58)</td>
|
||
<td>1462.00, 0.059</td>
|
||
<td>0.18, 0.135</td>
|
||
</tr>
|
||
<tr>
|
||
<th>In-field mean rate</th>
|
||
<td>14.88 ± 1.05 (63)</td>
|
||
<td>13.27 ± 1.04 (58)</td>
|
||
<td>1633.00, 0.315</td>
|
||
<td>0.77, 0.688</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Out-field mean rate</th>
|
||
<td>6.37 ± 0.67 (63)</td>
|
||
<td>6.57 ± 0.77 (58)</td>
|
||
<td>1795.00, 0.870</td>
|
||
<td>0.47, 0.724</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Burst event ratio</th>
|
||
<td>0.22 ± 0.01 (63)</td>
|
||
<td>0.22 ± 0.01 (58)</td>
|
||
<td>1897.00, 0.718</td>
|
||
<td>0.00, 0.824</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Specificity</th>
|
||
<td>0.47 ± 0.03 (63)</td>
|
||
<td>0.44 ± 0.03 (58)</td>
|
||
<td>1605.00, 0.250</td>
|
||
<td>0.06, 0.398</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Speed score</th>
|
||
<td>0.14 ± 0.01 (63)</td>
|
||
<td>0.11 ± 0.01 (58)</td>
|
||
<td>1378.00, 0.020</td>
|
||
<td>0.04, 0.023</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [22]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">_stim_data</span> <span class="o">=</span> <span class="n">stimulated_30</span>
|
||
<span class="n">_base_data</span> <span class="o">=</span> <span class="n">baseline_ii</span>
|
||
|
||
<span class="n">result</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">()</span>
|
||
|
||
<span class="n">result</span><span class="p">[</span><span class="s1">'Baseline II'</span><span class="p">]</span> <span class="o">=</span> <span class="n">_base_data</span><span class="p">[</span><span class="n">columns</span><span class="p">]</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">summarize</span><span class="p">)</span>
|
||
<span class="n">result</span><span class="p">[</span><span class="s1">'30 Hz'</span><span class="p">]</span> <span class="o">=</span> <span class="n">_stim_data</span><span class="p">[</span><span class="n">columns</span><span class="p">]</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">summarize</span><span class="p">)</span>
|
||
|
||
<span class="n">result</span><span class="o">.</span><span class="n">index</span> <span class="o">=</span> <span class="nb">map</span><span class="p">(</span><span class="n">rename</span><span class="p">,</span> <span class="n">result</span><span class="o">.</span><span class="n">index</span><span class="p">)</span>
|
||
|
||
<span class="n">result</span><span class="p">[</span><span class="s1">'MWU'</span><span class="p">]</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">MWU</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">_stim_data</span><span class="p">,</span> <span class="n">_base_data</span><span class="p">),</span> <span class="n">columns</span><span class="p">))</span>
|
||
<span class="n">result</span><span class="p">[</span><span class="s1">'PRS'</span><span class="p">]</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">PRS</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">_stim_data</span><span class="p">,</span> <span class="n">_base_data</span><span class="p">),</span> <span class="n">columns</span><span class="p">))</span>
|
||
|
||
|
||
<span class="n">result</span><span class="o">.</span><span class="n">to_latex</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"statistics"</span> <span class="o">/</span> <span class="s2">"statistics_30.tex"</span><span class="p">)</span>
|
||
<span class="n">result</span><span class="o">.</span><span class="n">to_latex</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"statistics"</span> <span class="o">/</span> <span class="s2">"statistics_30.csv"</span><span class="p">)</span>
|
||
<span class="n">result</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_wrapper">
|
||
<div class="output">
|
||
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt output_prompt">Out[22]:</div>
|
||
|
||
|
||
|
||
<div class="output_html rendered_html output_subarea output_execute_result">
|
||
<div>
|
||
<style scoped>
|
||
.dataframe tbody tr th:only-of-type {
|
||
vertical-align: middle;
|
||
}
|
||
|
||
.dataframe tbody tr th {
|
||
vertical-align: top;
|
||
}
|
||
|
||
.dataframe thead th {
|
||
text-align: right;
|
||
}
|
||
</style>
|
||
<table border="1" class="dataframe">
|
||
<thead>
|
||
<tr style="text-align: right;">
|
||
<th></th>
|
||
<th>Baseline II</th>
|
||
<th>30 Hz</th>
|
||
<th>MWU</th>
|
||
<th>PRS</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
<tr>
|
||
<th>Average rate</th>
|
||
<td>8.29 ± 0.87 (52)</td>
|
||
<td>7.61 ± 0.87 (38)</td>
|
||
<td>958.00, 0.810</td>
|
||
<td>0.27, 0.800</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Gridness</th>
|
||
<td>0.54 ± 0.04 (52)</td>
|
||
<td>0.48 ± 0.06 (38)</td>
|
||
<td>914.00, 0.548</td>
|
||
<td>0.04, 0.601</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Sparsity</th>
|
||
<td>0.63 ± 0.03 (52)</td>
|
||
<td>0.64 ± 0.03 (38)</td>
|
||
<td>1040.00, 0.674</td>
|
||
<td>0.06, 0.393</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Selectivity</th>
|
||
<td>5.96 ± 0.46 (52)</td>
|
||
<td>6.42 ± 0.60 (38)</td>
|
||
<td>1019.00, 0.803</td>
|
||
<td>0.20, 0.847</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Information specificity</th>
|
||
<td>0.21 ± 0.02 (52)</td>
|
||
<td>0.22 ± 0.03 (38)</td>
|
||
<td>950.00, 0.759</td>
|
||
<td>0.04, 0.502</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Max rate</th>
|
||
<td>36.27 ± 2.34 (52)</td>
|
||
<td>33.49 ± 1.89 (38)</td>
|
||
<td>943.00, 0.716</td>
|
||
<td>2.90, 0.555</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Information rate</th>
|
||
<td>1.13 ± 0.08 (52)</td>
|
||
<td>0.98 ± 0.09 (38)</td>
|
||
<td>827.00, 0.190</td>
|
||
<td>0.07, 0.334</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Interspike interval cv</th>
|
||
<td>2.37 ± 0.09 (52)</td>
|
||
<td>2.23 ± 0.11 (38)</td>
|
||
<td>869.00, 0.333</td>
|
||
<td>0.17, 0.476</td>
|
||
</tr>
|
||
<tr>
|
||
<th>In-field mean rate</th>
|
||
<td>13.79 ± 1.12 (52)</td>
|
||
<td>12.21 ± 0.98 (38)</td>
|
||
<td>912.00, 0.537</td>
|
||
<td>1.06, 0.455</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Out-field mean rate</th>
|
||
<td>5.80 ± 0.72 (52)</td>
|
||
<td>5.36 ± 0.73 (38)</td>
|
||
<td>959.00, 0.816</td>
|
||
<td>0.13, 0.912</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Burst event ratio</th>
|
||
<td>0.20 ± 0.01 (52)</td>
|
||
<td>0.16 ± 0.01 (38)</td>
|
||
<td>676.00, 0.011</td>
|
||
<td>0.05, 0.006</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Specificity</th>
|
||
<td>0.47 ± 0.03 (52)</td>
|
||
<td>0.48 ± 0.04 (38)</td>
|
||
<td>976.00, 0.925</td>
|
||
<td>0.00, 0.987</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Speed score</th>
|
||
<td>0.12 ± 0.01 (52)</td>
|
||
<td>0.11 ± 0.01 (38)</td>
|
||
<td>784.00, 0.096</td>
|
||
<td>0.01, 0.230</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [23]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">_stim_data</span> <span class="o">=</span> <span class="n">stimulated_30</span>
|
||
<span class="n">_base_data</span> <span class="o">=</span> <span class="n">baseline_i</span>
|
||
|
||
<span class="n">result</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">()</span>
|
||
|
||
<span class="n">result</span><span class="p">[</span><span class="s1">'Baseline I'</span><span class="p">]</span> <span class="o">=</span> <span class="n">_base_data</span><span class="p">[</span><span class="n">columns</span><span class="p">]</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">summarize</span><span class="p">)</span>
|
||
<span class="n">result</span><span class="p">[</span><span class="s1">'30 Hz'</span><span class="p">]</span> <span class="o">=</span> <span class="n">_stim_data</span><span class="p">[</span><span class="n">columns</span><span class="p">]</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">summarize</span><span class="p">)</span>
|
||
|
||
<span class="n">result</span><span class="o">.</span><span class="n">index</span> <span class="o">=</span> <span class="nb">map</span><span class="p">(</span><span class="n">rename</span><span class="p">,</span> <span class="n">result</span><span class="o">.</span><span class="n">index</span><span class="p">)</span>
|
||
|
||
<span class="n">result</span><span class="p">[</span><span class="s1">'MWU'</span><span class="p">]</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">MWU</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">_stim_data</span><span class="p">,</span> <span class="n">_base_data</span><span class="p">),</span> <span class="n">columns</span><span class="p">))</span>
|
||
<span class="n">result</span><span class="p">[</span><span class="s1">'PRS'</span><span class="p">]</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">PRS</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">_stim_data</span><span class="p">,</span> <span class="n">_base_data</span><span class="p">),</span> <span class="n">columns</span><span class="p">))</span>
|
||
|
||
|
||
<span class="n">result</span><span class="o">.</span><span class="n">to_latex</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"statistics"</span> <span class="o">/</span> <span class="s2">"statistics_b_i_30.tex"</span><span class="p">)</span>
|
||
<span class="n">result</span><span class="o">.</span><span class="n">to_latex</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"statistics"</span> <span class="o">/</span> <span class="s2">"statistics_b_i_30.csv"</span><span class="p">)</span>
|
||
<span class="n">result</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_wrapper">
|
||
<div class="output">
|
||
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt output_prompt">Out[23]:</div>
|
||
|
||
|
||
|
||
<div class="output_html rendered_html output_subarea output_execute_result">
|
||
<div>
|
||
<style scoped>
|
||
.dataframe tbody tr th:only-of-type {
|
||
vertical-align: middle;
|
||
}
|
||
|
||
.dataframe tbody tr th {
|
||
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|
||
}
|
||
|
||
.dataframe thead th {
|
||
text-align: right;
|
||
}
|
||
</style>
|
||
<table border="1" class="dataframe">
|
||
<thead>
|
||
<tr style="text-align: right;">
|
||
<th></th>
|
||
<th>Baseline I</th>
|
||
<th>30 Hz</th>
|
||
<th>MWU</th>
|
||
<th>PRS</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
<tr>
|
||
<th>Average rate</th>
|
||
<td>8.96 ± 0.80 (63)</td>
|
||
<td>7.61 ± 0.87 (38)</td>
|
||
<td>1081.00, 0.418</td>
|
||
<td>0.27, 0.806</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Gridness</th>
|
||
<td>0.53 ± 0.05 (63)</td>
|
||
<td>0.48 ± 0.06 (38)</td>
|
||
<td>1094.00, 0.472</td>
|
||
<td>0.08, 0.361</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Sparsity</th>
|
||
<td>0.63 ± 0.02 (63)</td>
|
||
<td>0.64 ± 0.03 (38)</td>
|
||
<td>1261.00, 0.656</td>
|
||
<td>0.03, 0.638</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Selectivity</th>
|
||
<td>5.76 ± 0.40 (63)</td>
|
||
<td>6.42 ± 0.60 (38)</td>
|
||
<td>1276.00, 0.582</td>
|
||
<td>0.86, 0.293</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Information specificity</th>
|
||
<td>0.24 ± 0.03 (63)</td>
|
||
<td>0.22 ± 0.03 (38)</td>
|
||
<td>1076.00, 0.398</td>
|
||
<td>0.05, 0.165</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Max rate</th>
|
||
<td>37.39 ± 1.91 (63)</td>
|
||
<td>33.49 ± 1.89 (38)</td>
|
||
<td>1027.00, 0.235</td>
|
||
<td>3.99, 0.188</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Information rate</th>
|
||
<td>1.31 ± 0.08 (63)</td>
|
||
<td>0.98 ± 0.09 (38)</td>
|
||
<td>797.00, 0.005</td>
|
||
<td>0.32, 0.047</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Interspike interval cv</th>
|
||
<td>2.39 ± 0.10 (63)</td>
|
||
<td>2.23 ± 0.11 (38)</td>
|
||
<td>1100.00, 0.499</td>
|
||
<td>0.01, 0.993</td>
|
||
</tr>
|
||
<tr>
|
||
<th>In-field mean rate</th>
|
||
<td>14.88 ± 1.05 (63)</td>
|
||
<td>12.21 ± 0.98 (38)</td>
|
||
<td>1018.00, 0.211</td>
|
||
<td>1.74, 0.276</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Out-field mean rate</th>
|
||
<td>6.37 ± 0.67 (63)</td>
|
||
<td>5.36 ± 0.73 (38)</td>
|
||
<td>1079.00, 0.410</td>
|
||
<td>0.51, 0.631</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Burst event ratio</th>
|
||
<td>0.22 ± 0.01 (63)</td>
|
||
<td>0.16 ± 0.01 (38)</td>
|
||
<td>675.00, 0.000</td>
|
||
<td>0.05, 0.003</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Specificity</th>
|
||
<td>0.47 ± 0.03 (63)</td>
|
||
<td>0.48 ± 0.04 (38)</td>
|
||
<td>1206.00, 0.952</td>
|
||
<td>0.01, 0.873</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Speed score</th>
|
||
<td>0.14 ± 0.01 (63)</td>
|
||
<td>0.11 ± 0.01 (38)</td>
|
||
<td>835.00, 0.011</td>
|
||
<td>0.06, 0.004</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [24]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">_stim_data</span> <span class="o">=</span> <span class="n">stimulated_30</span>
|
||
<span class="n">_base_data</span> <span class="o">=</span> <span class="n">stimulated_11</span>
|
||
|
||
<span class="n">result</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">()</span>
|
||
|
||
<span class="n">result</span><span class="p">[</span><span class="s1">'11 Hz'</span><span class="p">]</span> <span class="o">=</span> <span class="n">_base_data</span><span class="p">[</span><span class="n">columns</span><span class="p">]</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">summarize</span><span class="p">)</span>
|
||
<span class="n">result</span><span class="p">[</span><span class="s1">'30 Hz'</span><span class="p">]</span> <span class="o">=</span> <span class="n">_stim_data</span><span class="p">[</span><span class="n">columns</span><span class="p">]</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">summarize</span><span class="p">)</span>
|
||
|
||
|
||
<span class="n">result</span><span class="o">.</span><span class="n">index</span> <span class="o">=</span> <span class="nb">map</span><span class="p">(</span><span class="n">rename</span><span class="p">,</span> <span class="n">result</span><span class="o">.</span><span class="n">index</span><span class="p">)</span>
|
||
|
||
<span class="n">result</span><span class="p">[</span><span class="s1">'MWU'</span><span class="p">]</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">MWU</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">_stim_data</span><span class="p">,</span> <span class="n">_base_data</span><span class="p">),</span> <span class="n">columns</span><span class="p">))</span>
|
||
<span class="n">result</span><span class="p">[</span><span class="s1">'PRS'</span><span class="p">]</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">PRS</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">_stim_data</span><span class="p">,</span> <span class="n">_base_data</span><span class="p">),</span> <span class="n">columns</span><span class="p">))</span>
|
||
|
||
|
||
<span class="n">result</span><span class="o">.</span><span class="n">to_latex</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"statistics"</span> <span class="o">/</span> <span class="s2">"statistics_11_vs_30.tex"</span><span class="p">)</span>
|
||
<span class="n">result</span><span class="o">.</span><span class="n">to_latex</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"statistics"</span> <span class="o">/</span> <span class="s2">"statistics_11_vs_30.csv"</span><span class="p">)</span>
|
||
<span class="n">result</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_wrapper">
|
||
<div class="output">
|
||
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt output_prompt">Out[24]:</div>
|
||
|
||
|
||
|
||
<div class="output_html rendered_html output_subarea output_execute_result">
|
||
<div>
|
||
<style scoped>
|
||
.dataframe tbody tr th:only-of-type {
|
||
vertical-align: middle;
|
||
}
|
||
|
||
.dataframe tbody tr th {
|
||
vertical-align: top;
|
||
}
|
||
|
||
.dataframe thead th {
|
||
text-align: right;
|
||
}
|
||
</style>
|
||
<table border="1" class="dataframe">
|
||
<thead>
|
||
<tr style="text-align: right;">
|
||
<th></th>
|
||
<th>11 Hz</th>
|
||
<th>30 Hz</th>
|
||
<th>MWU</th>
|
||
<th>PRS</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
<tr>
|
||
<th>Average rate</th>
|
||
<td>8.80 ± 0.85 (58)</td>
|
||
<td>7.61 ± 0.87 (38)</td>
|
||
<td>1010.00, 0.493</td>
|
||
<td>0.23, 0.893</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Gridness</th>
|
||
<td>0.41 ± 0.05 (58)</td>
|
||
<td>0.48 ± 0.06 (38)</td>
|
||
<td>1259.00, 0.241</td>
|
||
<td>0.13, 0.094</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Sparsity</th>
|
||
<td>0.67 ± 0.03 (58)</td>
|
||
<td>0.64 ± 0.03 (38)</td>
|
||
<td>1002.00, 0.456</td>
|
||
<td>0.04, 0.561</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Selectivity</th>
|
||
<td>5.69 ± 0.50 (58)</td>
|
||
<td>6.42 ± 0.60 (38)</td>
|
||
<td>1260.00, 0.238</td>
|
||
<td>0.85, 0.335</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Information specificity</th>
|
||
<td>0.21 ± 0.03 (58)</td>
|
||
<td>0.22 ± 0.03 (38)</td>
|
||
<td>1231.00, 0.336</td>
|
||
<td>0.01, 0.732</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Max rate</th>
|
||
<td>33.11 ± 1.85 (58)</td>
|
||
<td>33.49 ± 1.89 (38)</td>
|
||
<td>1136.00, 0.802</td>
|
||
<td>0.07, 0.993</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Information rate</th>
|
||
<td>0.94 ± 0.08 (58)</td>
|
||
<td>0.98 ± 0.09 (38)</td>
|
||
<td>1171.00, 0.608</td>
|
||
<td>0.01, 0.789</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Interspike interval cv</th>
|
||
<td>2.19 ± 0.12 (58)</td>
|
||
<td>2.23 ± 0.11 (38)</td>
|
||
<td>1228.00, 0.347</td>
|
||
<td>0.17, 0.328</td>
|
||
</tr>
|
||
<tr>
|
||
<th>In-field mean rate</th>
|
||
<td>13.27 ± 1.04 (58)</td>
|
||
<td>12.21 ± 0.98 (38)</td>
|
||
<td>1058.00, 0.744</td>
|
||
<td>0.97, 0.637</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Out-field mean rate</th>
|
||
<td>6.57 ± 0.77 (58)</td>
|
||
<td>5.36 ± 0.73 (38)</td>
|
||
<td>1019.00, 0.537</td>
|
||
<td>0.04, 0.958</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Burst event ratio</th>
|
||
<td>0.22 ± 0.01 (58)</td>
|
||
<td>0.16 ± 0.01 (38)</td>
|
||
<td>552.00, 0.000</td>
|
||
<td>0.06, 0.000</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Specificity</th>
|
||
<td>0.44 ± 0.03 (58)</td>
|
||
<td>0.48 ± 0.04 (38)</td>
|
||
<td>1233.00, 0.328</td>
|
||
<td>0.07, 0.380</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Speed score</th>
|
||
<td>0.11 ± 0.01 (58)</td>
|
||
<td>0.11 ± 0.01 (38)</td>
|
||
<td>1022.00, 0.551</td>
|
||
<td>0.02, 0.144</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [25]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">_stim_data</span> <span class="o">=</span> <span class="n">baseline_i</span>
|
||
<span class="n">_base_data</span> <span class="o">=</span> <span class="n">baseline_ii</span>
|
||
|
||
<span class="n">result</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">()</span>
|
||
|
||
<span class="n">result</span><span class="p">[</span><span class="s1">'Baseline I'</span><span class="p">]</span> <span class="o">=</span> <span class="n">_stim_data</span><span class="p">[</span><span class="n">columns</span><span class="p">]</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">summarize</span><span class="p">)</span>
|
||
<span class="n">result</span><span class="p">[</span><span class="s1">'Baseline II'</span><span class="p">]</span> <span class="o">=</span> <span class="n">_base_data</span><span class="p">[</span><span class="n">columns</span><span class="p">]</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">summarize</span><span class="p">)</span>
|
||
|
||
<span class="n">result</span><span class="o">.</span><span class="n">index</span> <span class="o">=</span> <span class="nb">map</span><span class="p">(</span><span class="n">rename</span><span class="p">,</span> <span class="n">result</span><span class="o">.</span><span class="n">index</span><span class="p">)</span>
|
||
|
||
<span class="n">result</span><span class="p">[</span><span class="s1">'MWU'</span><span class="p">]</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">MWU</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">_stim_data</span><span class="p">,</span> <span class="n">_base_data</span><span class="p">),</span> <span class="n">columns</span><span class="p">))</span>
|
||
<span class="n">result</span><span class="p">[</span><span class="s1">'PRS'</span><span class="p">]</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">PRS</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">_stim_data</span><span class="p">,</span> <span class="n">_base_data</span><span class="p">),</span> <span class="n">columns</span><span class="p">))</span>
|
||
|
||
|
||
<span class="n">result</span><span class="o">.</span><span class="n">to_latex</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"statistics"</span> <span class="o">/</span> <span class="s2">"statistics_base_i_vs_base_ii.tex"</span><span class="p">)</span>
|
||
<span class="n">result</span><span class="o">.</span><span class="n">to_latex</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"statistics"</span> <span class="o">/</span> <span class="s2">"statistics_base_i_vs_base_ii.csv"</span><span class="p">)</span>
|
||
<span class="n">result</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_wrapper">
|
||
<div class="output">
|
||
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt output_prompt">Out[25]:</div>
|
||
|
||
|
||
|
||
<div class="output_html rendered_html output_subarea output_execute_result">
|
||
<div>
|
||
<style scoped>
|
||
.dataframe tbody tr th:only-of-type {
|
||
vertical-align: middle;
|
||
}
|
||
|
||
.dataframe tbody tr th {
|
||
vertical-align: top;
|
||
}
|
||
|
||
.dataframe thead th {
|
||
text-align: right;
|
||
}
|
||
</style>
|
||
<table border="1" class="dataframe">
|
||
<thead>
|
||
<tr style="text-align: right;">
|
||
<th></th>
|
||
<th>Baseline I</th>
|
||
<th>Baseline II</th>
|
||
<th>MWU</th>
|
||
<th>PRS</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
<tr>
|
||
<th>Average rate</th>
|
||
<td>8.96 ± 0.80 (63)</td>
|
||
<td>8.29 ± 0.87 (52)</td>
|
||
<td>1756.00, 0.509</td>
|
||
<td>0.55, 0.674</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Gridness</th>
|
||
<td>0.53 ± 0.05 (63)</td>
|
||
<td>0.54 ± 0.04 (52)</td>
|
||
<td>1664.00, 0.886</td>
|
||
<td>0.04, 0.550</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Sparsity</th>
|
||
<td>0.63 ± 0.02 (63)</td>
|
||
<td>0.63 ± 0.03 (52)</td>
|
||
<td>1652.00, 0.940</td>
|
||
<td>0.03, 0.648</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Selectivity</th>
|
||
<td>5.76 ± 0.40 (63)</td>
|
||
<td>5.96 ± 0.46 (52)</td>
|
||
<td>1542.00, 0.592</td>
|
||
<td>0.66, 0.360</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Information specificity</th>
|
||
<td>0.24 ± 0.03 (63)</td>
|
||
<td>0.21 ± 0.02 (52)</td>
|
||
<td>1718.00, 0.655</td>
|
||
<td>0.01, 0.812</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Max rate</th>
|
||
<td>37.39 ± 1.91 (63)</td>
|
||
<td>36.27 ± 2.34 (52)</td>
|
||
<td>1757.00, 0.505</td>
|
||
<td>1.09, 0.610</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Information rate</th>
|
||
<td>1.31 ± 0.08 (63)</td>
|
||
<td>1.13 ± 0.08 (52)</td>
|
||
<td>1929.00, 0.103</td>
|
||
<td>0.25, 0.140</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Interspike interval cv</th>
|
||
<td>2.39 ± 0.10 (63)</td>
|
||
<td>2.37 ± 0.09 (52)</td>
|
||
<td>1572.00, 0.713</td>
|
||
<td>0.16, 0.479</td>
|
||
</tr>
|
||
<tr>
|
||
<th>In-field mean rate</th>
|
||
<td>14.88 ± 1.05 (63)</td>
|
||
<td>13.79 ± 1.12 (52)</td>
|
||
<td>1763.00, 0.484</td>
|
||
<td>0.68, 0.690</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Out-field mean rate</th>
|
||
<td>6.37 ± 0.67 (63)</td>
|
||
<td>5.80 ± 0.72 (52)</td>
|
||
<td>1737.00, 0.580</td>
|
||
<td>0.38, 0.586</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Burst event ratio</th>
|
||
<td>0.22 ± 0.01 (63)</td>
|
||
<td>0.20 ± 0.01 (52)</td>
|
||
<td>1834.00, 0.272</td>
|
||
<td>0.01, 0.681</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Specificity</th>
|
||
<td>0.47 ± 0.03 (63)</td>
|
||
<td>0.47 ± 0.03 (52)</td>
|
||
<td>1588.00, 0.781</td>
|
||
<td>0.01, 0.765</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Speed score</th>
|
||
<td>0.14 ± 0.01 (63)</td>
|
||
<td>0.12 ± 0.01 (52)</td>
|
||
<td>1943.00, 0.087</td>
|
||
<td>0.04, 0.017</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
|
||
</div><div class="inner_cell">
|
||
<div class="text_cell_render border-box-sizing rendered_html">
|
||
<h1 id="Violinplot">Violinplot<a class="anchor-link" href="#Violinplot">¶</a></h1>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [20]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="o">%</span><span class="k">matplotlib</span> inline
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">rc</span><span class="p">(</span><span class="s1">'axes'</span><span class="p">,</span> <span class="n">titlesize</span><span class="o">=</span><span class="mi">12</span><span class="p">)</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="o">.</span><span class="n">update</span><span class="p">({</span>
|
||
<span class="s1">'font.size'</span><span class="p">:</span> <span class="mi">12</span><span class="p">,</span>
|
||
<span class="s1">'figure.figsize'</span><span class="p">:</span> <span class="p">(</span><span class="mf">1.7</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span>
|
||
<span class="s1">'figure.dpi'</span><span class="p">:</span> <span class="mi">150</span>
|
||
<span class="p">})</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [21]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># colors = ['#1b9e77','#d95f02','#7570b3','#e7298a']</span>
|
||
<span class="c1"># labels = ['Baseline I', '11 Hz', 'Baseline II', '30 Hz']</span>
|
||
|
||
<span class="n">stuff</span> <span class="o">=</span> <span class="p">{</span>
|
||
<span class="s1">''</span><span class="p">:</span> <span class="p">{</span>
|
||
<span class="s1">'base'</span><span class="p">:</span> <span class="n">gridcell_sessions</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">'baseline and i'</span><span class="p">),</span>
|
||
<span class="s1">'stim'</span><span class="p">:</span> <span class="n">gridcell_sessions</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">'stimulated'</span><span class="p">)</span>
|
||
<span class="p">},</span>
|
||
<span class="s1">'_11'</span><span class="p">:</span> <span class="p">{</span>
|
||
<span class="s1">'base'</span><span class="p">:</span> <span class="n">baseline_i</span><span class="p">,</span>
|
||
<span class="s1">'stim'</span><span class="p">:</span> <span class="n">stimulated_11</span>
|
||
<span class="p">},</span>
|
||
<span class="s1">'_30'</span><span class="p">:</span> <span class="p">{</span>
|
||
<span class="s1">'base'</span><span class="p">:</span> <span class="n">baseline_ii</span><span class="p">,</span>
|
||
<span class="s1">'stim'</span><span class="p">:</span> <span class="n">stimulated_30</span>
|
||
<span class="p">}</span>
|
||
<span class="p">}</span>
|
||
|
||
<span class="n">label</span> <span class="o">=</span> <span class="p">{</span>
|
||
<span class="s1">''</span><span class="p">:</span> <span class="p">[</span><span class="s1">'Baseline I '</span><span class="p">,</span> <span class="s1">' Stimulated'</span><span class="p">],</span>
|
||
<span class="s1">'_11'</span><span class="p">:</span> <span class="p">[</span><span class="s1">'Baseline I '</span><span class="p">,</span> <span class="s1">' 11 Hz'</span><span class="p">],</span>
|
||
<span class="s1">'_30'</span><span class="p">:</span> <span class="p">[</span><span class="s1">'Baseline II '</span><span class="p">,</span> <span class="s1">' 30 Hz'</span><span class="p">]</span>
|
||
<span class="p">}</span>
|
||
|
||
<span class="n">colors</span> <span class="o">=</span> <span class="p">{</span>
|
||
<span class="s1">''</span><span class="p">:</span> <span class="p">[</span><span class="s1">'#1b9e77'</span><span class="p">,</span> <span class="s1">'#b2182b'</span><span class="p">],</span>
|
||
<span class="s1">'_11'</span><span class="p">:</span> <span class="p">[</span><span class="s1">'#1b9e77'</span><span class="p">,</span> <span class="s1">'#d95f02'</span><span class="p">],</span>
|
||
<span class="s1">'_30'</span><span class="p">:</span> <span class="p">[</span><span class="s1">'#7570b3'</span><span class="p">,</span> <span class="s1">'#e7298a'</span><span class="p">]</span>
|
||
<span class="p">}</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
|
||
</div><div class="inner_cell">
|
||
<div class="text_cell_render border-box-sizing rendered_html">
|
||
<h1 id="Information-rate">Information rate<a class="anchor-link" href="#Information-rate">¶</a></h1>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [22]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">dd</span> <span class="ow">in</span> <span class="n">stuff</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
|
||
<span class="n">baseline</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'base'</span><span class="p">][</span><span class="s1">'information_specificity'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
|
||
<span class="n">stimulated</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'stim'</span><span class="p">][</span><span class="s1">'information_specificity'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
|
||
<span class="nb">print</span><span class="p">(</span><span class="n">key</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">violinplot</span><span class="p">(</span><span class="n">baseline</span><span class="p">,</span> <span class="n">stimulated</span><span class="p">,</span> <span class="n">xticks</span><span class="o">=</span><span class="n">label</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="n">colors</span><span class="o">=</span><span class="n">colors</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"Spatial information specificity"</span><span class="p">)</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">"bits/spike"</span><span class="p">)</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">(</span><span class="o">-</span><span class="mf">0.2</span><span class="p">,</span> <span class="mf">1.6</span><span class="p">)</span>
|
||
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"information_specificity</span><span class="si">{key}</span><span class="s2">.svg"</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"information_specificity</span><span class="si">{key}</span><span class="s2">.png"</span><span class="p">,</span> <span class="n">dpi</span><span class="o">=</span><span class="mi">600</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_wrapper">
|
||
<div class="output">
|
||
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt"></div>
|
||
|
||
|
||
<div class="output_subarea output_stream output_stdout output_text">
|
||
<pre>
|
||
U-test: U value 4298.0 p value 0.036830785214103115
|
||
_11
|
||
U-test: U value 2202.0 p value 0.05201320820170774
|
||
_30
|
||
U-test: U value 1026.0 p value 0.7593436297175663
|
||
</pre>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt"></div>
|
||
|
||
|
||
|
||
|
||
<div class="output_png output_subarea ">
|
||
<img 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
|
||
"
|
||
>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [23]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">dd</span> <span class="ow">in</span> <span class="n">stuff</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
|
||
<span class="n">baseline</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'base'</span><span class="p">][</span><span class="s1">'information_rate'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
|
||
<span class="n">stimulated</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'stim'</span><span class="p">][</span><span class="s1">'information_rate'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
|
||
<span class="nb">print</span><span class="p">(</span><span class="n">key</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">violinplot</span><span class="p">(</span><span class="n">baseline</span><span class="p">,</span> <span class="n">stimulated</span><span class="p">,</span> <span class="n">xticks</span><span class="o">=</span><span class="n">label</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="n">colors</span><span class="o">=</span><span class="n">colors</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"Spatial information"</span><span class="p">)</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">"bits/s"</span><span class="p">)</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">(</span><span class="o">-</span><span class="mf">0.2</span><span class="p">,</span> <span class="mi">4</span><span class="p">)</span>
|
||
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"spatial_information</span><span class="si">{key}</span><span class="s2">.svg"</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"spatial_information</span><span class="si">{key}</span><span class="s2">.png"</span><span class="p">,</span> <span class="n">dpi</span><span class="o">=</span><span class="mi">600</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_wrapper">
|
||
<div class="output">
|
||
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt"></div>
|
||
|
||
|
||
<div class="output_subarea output_stream output_stdout output_text">
|
||
<pre>
|
||
U-test: U value 4857.0 p value 0.00013747228542563089
|
||
_11
|
||
U-test: U value 2511.0 p value 0.0003908085167909787
|
||
_30
|
||
U-test: U value 1149.0 p value 0.18980799435841422
|
||
</pre>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt"></div>
|
||
|
||
|
||
|
||
|
||
<div class="output_png output_subarea ">
|
||
<img src="data:image/png;base64,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<div class="output_png output_subarea ">
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"
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>
|
||
</div>
|
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</div>
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||
</div>
|
||
</div>
|
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|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [24]:</div>
|
||
<div class="inner_cell">
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<div class="input_area">
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">dd</span> <span class="ow">in</span> <span class="n">stuff</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
|
||
<span class="n">baseline</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'base'</span><span class="p">][</span><span class="s1">'specificity'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
|
||
<span class="n">stimulated</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'stim'</span><span class="p">][</span><span class="s1">'specificity'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</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">violinplot</span><span class="p">(</span><span class="n">baseline</span><span class="p">,</span> <span class="n">stimulated</span><span class="p">,</span> <span class="n">xticks</span><span class="o">=</span><span class="n">label</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="n">colors</span><span class="o">=</span><span class="n">colors</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"Spatial specificity"</span><span class="p">)</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">""</span><span class="p">)</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">(</span><span class="o">-</span><span class="mf">0.02</span><span class="p">,</span> <span class="mf">1.25</span><span class="p">)</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"specificity</span><span class="si">{key}</span><span class="s2">.svg"</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"specificity</span><span class="si">{key}</span><span class="s2">.png"</span><span class="p">,</span> <span class="n">dpi</span><span class="o">=</span><span class="mi">600</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_wrapper">
|
||
<div class="output">
|
||
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt"></div>
|
||
|
||
|
||
<div class="output_subarea output_stream output_stdout output_text">
|
||
<pre>U-test: U value 3974.0 p value 0.2766869426478231
|
||
U-test: U value 2049.0 p value 0.25046855806374924
|
||
U-test: U value 1000.0 p value 0.9251527394243083
|
||
</pre>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt"></div>
|
||
|
||
|
||
|
||
|
||
<div class="output_png output_subarea ">
|
||
<img src="data:image/png;base64,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|
||
"
|
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>
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||
</div>
|
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|
||
</div>
|
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|
||
<div class="output_area">
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||
<div class="prompt"></div>
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<div class="output_png output_subarea ">
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<div class="output_area">
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<div class="output_png output_subarea ">
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"
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>
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</div>
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<div class="prompt input_prompt">In [25]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">dd</span> <span class="ow">in</span> <span class="n">stuff</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
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<span class="n">baseline</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'base'</span><span class="p">][</span><span class="s1">'average_rate'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
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<span class="n">stimulated</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'stim'</span><span class="p">][</span><span class="s1">'average_rate'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
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<span class="n">violinplot</span><span class="p">(</span><span class="n">baseline</span><span class="p">,</span> <span class="n">stimulated</span><span class="p">,</span> <span class="n">xticks</span><span class="o">=</span><span class="n">label</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="n">colors</span><span class="o">=</span><span class="n">colors</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"Average rate"</span><span class="p">)</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">"spikes/s"</span><span class="p">)</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">(</span><span class="o">-</span><span class="mf">0.2</span><span class="p">,</span> <span class="mi">40</span><span class="p">)</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"average_rate</span><span class="si">{key}</span><span class="s2">.svg"</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"average_rate</span><span class="si">{key}</span><span class="s2">.png"</span><span class="p">,</span> <span class="n">dpi</span><span class="o">=</span><span class="mi">600</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
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</pre></div>
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<pre>U-test: U value 3643.0 p value 0.9471010896899097
|
||
U-test: U value 1873.0 p value 0.8133796041365939
|
||
U-test: U value 1018.0 p value 0.8095631030980726
|
||
</pre>
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<img 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<div class="output_area">
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<div class="output_png output_subarea ">
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<div class="prompt input_prompt">In [26]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">dd</span> <span class="ow">in</span> <span class="n">stuff</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
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<span class="n">baseline</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'base'</span><span class="p">][</span><span class="s1">'max_rate'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
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<span class="n">stimulated</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'stim'</span><span class="p">][</span><span class="s1">'max_rate'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
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<span class="n">violinplot</span><span class="p">(</span><span class="n">baseline</span><span class="p">,</span> <span class="n">stimulated</span><span class="p">,</span> <span class="n">xticks</span><span class="o">=</span><span class="n">label</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="n">colors</span><span class="o">=</span><span class="n">colors</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"Max rate"</span><span class="p">)</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">"spikes/s"</span><span class="p">)</span>
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<span class="c1"># plt.ylim(-0.2, 45)</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"max_rate</span><span class="si">{key}</span><span class="s2">.svg"</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"max_rate</span><span class="si">{key}</span><span class="s2">.png"</span><span class="p">,</span> <span class="n">dpi</span><span class="o">=</span><span class="mi">600</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
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</pre></div>
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<div class="output">
|
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|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt"></div>
|
||
|
||
|
||
<div class="output_subarea output_stream output_stdout output_text">
|
||
<pre>U-test: U value 3951.0 p value 0.30924120740340955
|
||
U-test: U value 2116.0 p value 0.13443770008325492
|
||
U-test: U value 1033.0 p value 0.7162113753904321
|
||
</pre>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt"></div>
|
||
|
||
|
||
|
||
|
||
<div class="output_png output_subarea ">
|
||
<img 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<div class="output_png output_subarea ">
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<div class="prompt input_prompt">In [27]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">dd</span> <span class="ow">in</span> <span class="n">stuff</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
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<span class="n">baseline</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'base'</span><span class="p">][</span><span class="s1">'interspike_interval_cv'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
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<span class="n">stimulated</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'stim'</span><span class="p">][</span><span class="s1">'interspike_interval_cv'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
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<span class="n">violinplot</span><span class="p">(</span><span class="n">baseline</span><span class="p">,</span> <span class="n">stimulated</span><span class="p">,</span> <span class="n">xticks</span><span class="o">=</span><span class="n">label</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="n">colors</span><span class="o">=</span><span class="n">colors</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"ISI CV"</span><span class="p">)</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">"Coefficient of variation"</span><span class="p">)</span>
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<span class="c1"># plt.ylim(0.9, 5)</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"isi_cv</span><span class="si">{key}</span><span class="s2">.svg"</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"isi_cv</span><span class="si">{key}</span><span class="s2">.png"</span><span class="p">,</span> <span class="n">dpi</span><span class="o">=</span><span class="mi">600</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
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</pre></div>
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<pre>U-test: U value 4208.0 p value 0.0703111829950676
|
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U-test: U value 2192.0 p value 0.05860549066385172
|
||
U-test: U value 1107.0 p value 0.3330227188913163
|
||
</pre>
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<img 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<div class="output_area">
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<div class="prompt"></div>
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<div class="output_png output_subarea ">
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"
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>
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</div>
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</div>
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<div class="prompt input_prompt">In [28]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">dd</span> <span class="ow">in</span> <span class="n">stuff</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
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<span class="n">baseline</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'base'</span><span class="p">][</span><span class="s1">'in_field_mean_rate'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
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<span class="n">stimulated</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'stim'</span><span class="p">][</span><span class="s1">'in_field_mean_rate'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
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<span class="n">violinplot</span><span class="p">(</span><span class="n">baseline</span><span class="p">,</span> <span class="n">stimulated</span><span class="p">,</span> <span class="n">xticks</span><span class="o">=</span><span class="n">label</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="n">colors</span><span class="o">=</span><span class="n">colors</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"In-field rate"</span><span class="p">)</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">"spikes/s"</span><span class="p">)</span>
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<span class="c1"># plt.ylim(-0.1, 18)</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"in_field_mean_rate</span><span class="si">{key}</span><span class="s2">.svg"</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"in_field_mean_rate</span><span class="si">{key}</span><span class="s2">.png"</span><span class="p">,</span> <span class="n">dpi</span><span class="o">=</span><span class="mi">600</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
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</pre></div>
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<pre>U-test: U value 3874.0 p value 0.4358627795642821
|
||
U-test: U value 2021.0 p value 0.31540792775479376
|
||
U-test: U value 1064.0 p value 0.5373862857775564
|
||
</pre>
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<img 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
|
||
"
|
||
>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt"></div>
|
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|
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|
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|
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<div class="output_png output_subarea ">
|
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<img 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uDsuU4cHlpPy5IOefS0HoCUUnJOqB6Hqc1KlrfWL/DSJJd1Mh3Leo8pd+hMjVZCUqs1ZcseLCnR96IlhFgnhHhoXBk/Hwfi2/OllAqQ8f2L5zlnERNeAuzqiKEZZGqqhYo6s3KY4LkuSmkmradlSYm+Fy3gW8C3MfsO5yMpLE3KGL4R3946x7FgkvkFTKL+e+0amFWmpnyThO/AymGC6zmoyKweWixpkAfR+lx8+yuxh/QAhBAXYzZBA3w8vv2P+Pa5Qoh1c5zzN+LbD0kpG3M8nwumyx06GR7GBaZTdvXQkhJ5EK23YlYIrwD+dWaYKIS4EfgsJqn+VeCj8VNfwLSgWQ18JO74gBDCFUK8GrPROiAuSM0raXhaXuxp1es+UWQLTC2dp+9FS0q5F3geZpXvucBhIcQPhBAS+C6mov1u4DlSSh2/RgMvBg4DjwYOCCG+jQkf34Ipc3iplPLebv883cR4Wp3NaTmOg8YUmNZr1tuydJ6+Fy0AKeUngBuA9wDHgKswPbK+jqnReszsjdGx2N0IvB0jVtdhSiA+AzxBSvkvXfsBekAUKRqNAKV0W91KZ+M4jmlRE2mmbDLekgK5qdOSUu4Bfn2ZrxkFXhX/GyhqcWGppnOFpQlJVbwte7CkQS48LcvyqdVMzslzO1dYmuDGG6etp2VJAytaA8rkZAuldEfzWQlu3MHUlj1Y0sCK1oBSm/LjNsud/xPwXAcVKVtgakkFK1oDytRU0mY5BU/Ls56WJT2saA0oU1O+KXfoYI1WguvanJYlPaxoDSi12NNKI6fleWb1sDblo3VuO/tYeoQVrQFlctLv+BaeBFPyAGEY0WyGHT+/ZbCxojWAJO2Qk15anSbpYBpF2tZqWTqOFa0BpNkwgyeUIpXwEBJvy4qWpfNY0RpAkjbLbgqFpQnTzQDt/kNLh7GiNYCY5n+d7e4wG896WpaUyM3eQ8vSmYpnHaZRo5WQDLiwfbVWjlaaaP8Z9GIzJB0oXLQWpzQYH+fB+CktD2AqxWr4BM91CIOIKVtgumLqH/wOjY/8GKJFykYcKD5kC6vf8OTuGNZjrGgNIGaqdDrV8AmuZ8LDSRserphw72nUqRq6FcJ8vyutQYNzXnnu53OIFa0BZHLCNP8rFtP79buuO13yoLVOLeGfZ9TZBjpSuJtHcKoP6iQOxCHkvjPoZohuBPMelydsIn4AmZquhk8xPIw9rSCIaLVsgelKUGMNiBQsEMY7rmO8sEihzuZ2nMEDsKI1YGitp9sseymuHpoCU8y06QkbIi4X7YfoehCL1sK/J8dzIdKocStalhzSqKdfWJrgxjMQbdnD8lFjTVAajTN/PivBc9CRMq8ZAKxoDRgzm/+lnWdKCkxtMn75qHETGjreEn5PnmvCwzHraVlyyORkiyilljSz8Wzb5RWjx5voRfJZCU4sWnrcelqWHDIVe1ppljskeHHbZetpLR91tmHqs5ZSS+c56EijrGhZ8ojxtNItLE1wvbjtsk3ELxs10YTQhIeLkoSHNhFvySNTcXiY5sphghfXallPa/nosSZaLS08xIaHljwzOdlKrfnfbEyveBX37rIdTJeDGjeeFoXFv1wcz0GHNjy05JTJeLN0NxLxruugFYShol63yfjloMYboJaa00rCQytalpwRRerc6LAuJOIdx4nzWrbAdLmo8SY6VGZlcDE8B5RCNwKzTzHnWNEaIGpx8z9Iv7A0wawgKltgukz0eHNJ1fAAuI4pQlWDESJa0Rogpmu0ulBYmpD01bLJ+KWjQ4Waai255MFxHLPKOCAhohWtAaKb5Q4J09OmrWgtGT2RbOHRi2/hSfBcdKTQA1D2YEVrgJic6F5haUIybdqK1tJRcWjouO7SPeJk0/QA7D+0ojVATHVxC0/C9FYeK1pLRo010JFeWj4rxoaHllwyXaPVxfDQzD+0VfHLYbpGazm/p4JrcmFj9fQMywhWtAYI0/xPdW3lEGJPS2nqcUscy+LopPlfYRkfzwGqireiNUCYNsu6K1t4EpKUTDLV2rI4JjxcYo1WgueYnNYAdC+1ojUgBEFEsxmm3mZ5NqaDqYNSikk7TmxJnOvwsJycllk9tDktS25Ipko7nPN+uoUbJ+Otp7U01Fgj3ne4zPAwHIw+8Va0BgTTR8usHHZ7Mk7SV8s2A1waKwoPC+65rTyNID3jMoAVrQFhasoUlnaju8Nspvtq2bKHJaHOLD6FZzaO66CdwZjKY0VrQEj2HXZz5TDBjT0tGx4uzrSntNzVQ861XVZn8132YEVrQJia8lFdLixN8Nw4p1Wz4eFiqDN1U7rgOGam4XJIarXOWE/LkgNq0wNae+BpxYNbp+zq4aJEp+umJc0yvSzAeGahQp2pdd6wDGFFa0Co1YJ432EPclpxe5p63Udr28F0IdTZ+rLzWQnTZQ+jNjy05IBarXvN/2aTdDCNIkWzmf8mde2gRutmoEUbnlZ0xoqWpc/RWlOvxYn4HuS0TIEpRJGmZsseFkSN1tDLrdGKcZKc1mkbHlr6HN+PCMOoZ6uHAK6b7EG0orUQarS2/MLShCSnNWpFy9LnJF6W49D1wtIEs5XHriAuhvG0ovYS8WNNtJ/fMNyK1gBQrwc99bLgnGg16vmu1m4HrTXRaA0CBQVv+SdwHbSDqdU6lV9vy4rWANBo9F60HNdBW9FaED3loxs+egWFpRD3io/zWtGpqRQszAZWtAaARoY8rXrO98W1gzoxCYFZOVx2YWlC0YMgQp20omXpY+qNAK30yj8IHSARraYVrXmJTk6teOUwYdrTOmFFy9LHNDMQHrpOnNNq5DdB3C7RiSkIIuMtrZSiazytE5OdMyxjWNEaAJqN0IhWj1YOweS0lLae1kKoE5PoYIUrhzFOwbOelqX/aTYDlKbH4SFopWk2rWjNR3RswtRodcDTio5P5nbLlBWtAaDVCtG99rQc42m1WmFuP0ztEh2PPa1iGx/L2NPSdT+3Qy6saA0AzWaI0r1PxGsFSkEQ2Kk8s9GtEHW6bmq02vC0HNeUPRAo47nlECtaA0CrmXhaPTbEMQWULRsiPojo2KQJDV2W12Z5LooeOojMOXOIFa0BwPcjdI89LcdxplcQW62oZ3ZklejoOLrdlcMYpxSL1lHraVn6kDBUhKEyifge5rTATAHSWuPneF/cSomOTbRf7pAQF5hGR8fbP1cGsaKVc3w/Tnzr7o8Om43jOmiN9bTmIDo6ESfhO+BpFa2nZeljAj9Cx4KVCU9LaQLfitZsoiPjaD+CUgc8rZILfkR0bMJU2OcMK1o5xw/ifFav3SyMaGqt8QMrWjPRWhMdMeFhJzwtPBcNRrhyWBlvRSvnBL6KRavXliSihfW0ZqFO101dVaRMcWibOI5zLkQ8nL+8lhWtnBMESXjYe9VKEvFhaEVrJtHhMbRvvKyO/Z5KnvG0rGhZ+o1gOjzstSUzPC1bXPoAosPj4Hdo5TDGKXpoPyI6YkXL0meEocqUp6W0JrA5rQcQHTY1Wk4nkvAx07Vah8Y6ds6sYEUr54RBhFGtXlsSC6c2Qmo5R3RoDPywMyuHCUl4eGQcrfK119OKVs7JmqeltSa04eE0WmvCQ+dyWh2j4KKVRjeD3PXWsqKVc8JQoel9YSmAg4MGApuIn0adqaNrycphB8NDxzEhYg6T8Va0co7xtHQWosN4wzRENjycJprhZXV8b2gcIoYH85XXsqKVc6I4PMyCq+U4gNY2pzWD6FDnVw4TplcQc5aMt6KVc8JIQcZKHqLIilaC8bTCjq4cJkyHh1a0LP1ElKFEPIDGelozSZLwHV05TCid6/agc/RFYUUr50wn4nttCLbkYTZaa5MkDyKcUqHzFyi4aK3RzTBXXUytaOWcKDKJ+CyolpMk4qN81Q2tFHWqFq8c6o7sOZzN9B5EPzK5s5xgRSvnhKGKe2llQLWIvQvraQEzVw7d1H4/TlJkmqO8lhWtnJN4WlmQLMcxdVp2w7QhOjQGQYcr4WeTbOc5nB/RSiGQnh8hRBV4IuABX5VSnunm9QeRJKeVheXDpOTBhoeG6Ur4NPJZMU7JQ9V8Gx4uhhBiqxDiXUKIP5zx2FXAbuAjwH8D+4UQz0/j+pZznNvG02tLzuW0wlChcrYfbiVEhzvYrXQ+inGB6dHx3HQx7bjECyE2AncDW4BPzHjq/8WPaWASWAV8UAjxQynlvR247jbg94GnABfFD++LbfgbKeXJOV4zBLwaeAFwSWzXd4C3Syk/3a5NWSAMslOnBaZOC0zY6ropflgzjlbatI3p9J7D2RRmdDE9NkFh+5r0rtUl0vC0fgfYCuwB3gMghLgceBQQAY+UUq4B/hIjmq9q94JCiEcDPwJ+F7gCOAgcAQRGlH4ghLh+1muGgS8CrwMuBe4BasBPA58SQryuXbuyQJB4WhnIap0TTlurpUZr6HpgOjCksHKY8IAVxJzsQUzj3XoaEAJPllJ+Mn7s6fHtHVLKu+P/vw4YAx7fzsWEEGsw4eYa4DPAdinlDinlFcCVwB3A+cBHhBCVGS99J3AL8H3gMinlTVLKi4AXx/a/XgjxxHZsywJhxpoAzgwRB5lurBwm5G0FMQ3RuhTYJaXcP+OxJ2HCws8nD0gpA0z4tqXN690GbASOAs+TUh6bcY29wM8BZzHh33MBhBCXAS8CFPBCKeWhGa/5IMYLBHh9m7b1nDBDew+B6SnTg94IMDrchZXDhGQFMSddTNMQrSrQTO4IIQrAY+K7X5517BBGzNrhp+LbT0gpH9Q4SEp5Crgzvrszvv0lzArmXVLKn8xxznfHt48UQlzYpn09IxGHrHhaYIdbJCRJ+FTzWTE2PFyco8AlQohifP8xwAgmyZ2EhgghtmK8soNtXu+NmJDunxY4JvnIJn8ht8a3X5/rYCnlEeBAfPexbdrXM8LAeFlag9vpticrJJl96A+4aIVHzPadbnla03sQc7Bqm0aByJeAlwBvEUK8H3gTxpv6pJQyAhBCbAI+GF//C+1cTEr5LeBb8z0vhNgAPC6+e098e3l8e/8Cp96PWYW8sh37ekky8zBLOI4z8H3ikz2H2o9wuyFaSRfTVog6MYl3war0r5kiaXhabwHqmFXE72GS3WH8eLLSdxjjwYwDf52CDTP5P5gwtI5J2ANsim9PLfC60/HthpTsSh2/FU6HhlnZxuPG4WGrFfbalJ6hzzbOdSstdCE8nO5iqnKR1+q4aEkpJaZs4FtAC1OK8Awp5Q/jQ45iPKwfY8of9nfahgQhxJ8Avxjf/bMZtVpD8W3zwa+apjHr2L6j1YrQKjuhIZzrE++3BtfTiuLQ0Cmk0K10PoouBGEuRCuV/QNSyruAh8/z9D7gITNELBXiOqvXx3c/CvzVjKcjli7Y2YqvlkGrFaK0zoyXBeC4Dlrpgfa0oiMT6VfCz+LcHMT+b1HTlmgJIf4b+CTw6ZmlBgshpVRAaoIVr1a+E/i1+KHPAi+QUs4UnylgLVBhfqrxbb3jRnaJZtMUL3bt23wJuHFOq9kcXNEKj4yZOYddWDmcpuTBZMt6WpgaqGcBCCF+iBGwzwB3xuLUVYQQq4D/wtSFAXwIeLGU0p916ChGtNYvcLokl/Wg7T/9QrNhPK0MaRau6xApTbMR9NqUnhEdmTB94YeKix/cIZyih/IV0dGJOM+ZoT+KZdJuTmsz8DKMUFwE/DHwFeCUEOLfhBC/FK8Upk689/AOzgnWW4FfmEOwAJK9jhcvcMrkuV2dsK8XNBoBSuls5bRcB6U0jYEWrc5PlF6UoocOI9REEz2+UCo3+7TlacWFmx8APiCEcDH1T08Hngo8H3geoIUQ3+NcGPmN9kx+MEKILZjC1csw+apXSCnfvcBLvgE8g3P1WrPPtw1IikrvnOuYfqBRz55ouYlo1QdTtHQjQJ2uQ9DZOYeL4bgOTtGFwHhb7prq4i/KKB1LxMfh4B3xvz8WQlyA2Yf4NOAJwJ8C/1sIcRqTZ/oU8Nl2e2oJIUrAxzCC5WPyVx9e5GX/iakfe5wQQsQrnjN5eXz7lTRXN9OmVvdRSlPswrL6UjGipajV53KA8090dALCCFwHx+tyD87iue08xas3d/faHSS1d01KeUxK+V4p5XMw+aHHA38LnABeCPwzcEIIcUebl/pD4KHx//UAI7cAACAASURBVH9rCYKFlHI38K+YCvn/ibtQACCEeFF8TjDV9n1Lveajomx6WvVaMJA9taKjE2i/u15WwrkVxP5Oxnelc6mUMsSEb18G/pcQYjsmjHwa5/YOLpvYy0pa24TAbUKI2xZ4yaeklG+O///bwHXxv/uEED/CJOeTXlyvlVLevlLbssDUpPG0XC9boqWV6afVaAQMD5d6bVJXMTVaIU6pB53OSx40QuPt9TFdbbecEHdVeDfw7lh4Vsp1GKEB87M8cpHj98yw4bQQ4lbgf2Fyb1cBAWYh4e+klP/Thl09RylNrdaKm+1lR7Qcx5n2tqYmW4MnWkdNEr5Xnpaa6P+yh9REK06Or5VS3jPjsd/lXIeFTwJvllLWVnoNKeV3aGM4Vnzt15ODFjSzqdd8okhnarN0gus5RJFicrLF5vPP67U5XSUpLHV7IdZx6+Xo5FQ81bonPkvbpNUj/g2YDcd/MOOxPwb+BrgRuB54DfB5IUR2ssQ5Yny8SRQpPM/JXE2O57lEkWaiz5fel4uOFNHR8a6vHE7jOeYTH68g9isdFy0hxNOB/43x4qrxY2VM22OAj2PE7DBmM/WvdtoGSyJaGq/bK1RLwIs9rfEBEy11YgrdCk17mEL3fy+O4zxgBbFfSeOd+2XMfr0/klK+IH7sCZhBFieAZ0sp/xaThAczVMLSYcbHznlaWSPxtMbHBku0oqNx47+S1zPv17ReDvt6pFgaonULpuXLzA3KT4lvP5X01IpzXfcD16Zgw8AzdrZOFCq8HnyjL4bnuUSh4uzZxuIH54jwkJm+05PQMGG6i2n/9otP4y96A3Bg1gblJ2K8ry/NOnYcGKxMbJc4c6ZBGKlMhoeFgmsS8RPNgZo2HR0e6/72nVk4cb/4sI9bL6fxF93ATMYBprfE7IjvzhatCzHCZekgSmnOxp5WIYOi5TiAY4ZunD0zON5WdHCs6y1pHkSpMD0DUfdpy+s0/qJ/DFwuhLg6vv+i+PZHUsqjyUFx5flGUmxTM6iMjTUIfNMfPkuFpQmO4xhvK1SMjq644qWveMBw1l6Kluc8YHhrP5JGoca/AI8AviiEuBNT+a6B98O05/Vq4Nfjx/+/FGwYaEZP1QjDiEIh/Zl6K6VQ8AhDxelTgyFa6tgEOu5v1ouVw4Tp1sutiOjgGIWL1i7+ooyRxrv3/4D/wfRhfxZQxFSZ/338/FbgFfHj/yCltKLVYYxoKQoZTMInFAouQag4NSCiFR44i271duUwwSkV0H5IuL+tXgU9o+OeVtzt4blCiCcDNwC7gY8lq4aABD4CfHApm5sty+fkiUnCQFHsZRiyCIWCS73mc/LEVN83pVsK0YGz4Ic45Qz8TsrxHsSD/bmCmFodv5Tys5gWNLMfHwOendZ1Bx2tNSeOTxEEEdUudsZcLoWCSxQ3A5wYb7K6j/s7LYVwv/G0qPR+64xT8lBjTcJ9pxc/OIOk/g7Gcwd3AGuklJ+ImwUOSSmn0r72IDI+1qTRCIiUznR4mCTjgyDi+PHJ/IvWvtNoP8RdXe61KVAqoEOFOttAna3jru2vgVOp/VULIZ4ghLgLUwX/FUxICKb1y2EhxBuFEPmOCXrAsWMTBH5EMcNJ+IRi0SMIFMdyMCFmIdRYA3W6bro7ZGCTctLFVPsR4d7+y2ultWH6tzCh4S2YLgzJP4DtmC09fwT8WxrXH2SOHZ0kCCKKvay6XiLFokvgRxw7NtlrU1Il3HPabN8pdnHO4WKUC9AKCe/vvxAxjQ3TNwJvBxRmK891wF0zDvkWZkN1BPy8EOKFnbZhkDl6ZBw/UH0iWh5BEHHq5BR+jucghvePQjM0QpERnHIBbUVrmj+Iz/sqKeVr4j2G0+PEpJQNKeWbgN/EeF8vTcGGgaRe9zk9WiMMokyvHCZ4novrOgR+xNE+bpWyGOGe0+hWiJMp0fLQzZBw9ym07q+212mI1mOBM8C7FjnuvZiN1Q9JwYaB5MjhCQJfTYtBP1AsefhBxOE+7jqwEFppIwytECcDK4fTJMn4sSbqeH+F52mI1kZg76wN0w8ifn4/dsN0xzh0cAw/CPvCy0ooFT18P+Jwn9YMLUZ0ZNzMGoxUb/cczsJxnWlvK9h1qtfmLIs0RGuMczMDF2NrfLylAxw6cBa/FVHK0IdjMYolj8CPOHFiKpcDXEN5Et0woWHWVnOdSgHdDAjvs6L1bWCTEOKJCx0khPgZYEt8vKVNxsebnD3bIAz7Iwmf4Hkunufi+yGHDuTv+yu49yS6GWQrNIxxKkV0MyC490SvTVkWaYjWezAJ9n8UQtww1wFCiCcA78NsmH5fCjYMHAf2ncH3IwrF/slnJZRKJkTc36d74eZDa014zwl0M8SpZHB3QqUArYjo0BhqrH9aBHVctKSUH8UMQr0Q+G48T/BaACHEfwgh7gE+B6wHPiGl/K9O2zCI7N93llYrpJSB4sXlUip7+K2IA/vO5mqAqzo+GU++ycb2ndk4ngslD90KCe453mtzlkxaFfEvAd6CGVN/DbAa4309FzNfUGHmHj4vpesPFGEYmSR8K6KchQ25y6RY9IgixdRki1Mn87O7K/jxcXTDhIaZKSqdhVMpoOsBwY/6R7RSkf+4o8MfCSHeBjwV42mtBmqYLg+fklIeTOPag8jBA2M0GwE4ZLK98mI4jkOp5NHyI/befzo3sxCDHxydFq2s4lSLqLMNgh8d65tuG6m+m1LKk8AHFjpGCHGRlPJAmnbknb33n6bVCilncIVqqZTLBZrNkL33n+HWR17ca3PaRkcK/0fH0I0Ad9NIr82Zn2oRfWKK6Ngk6tgk3pZVvbZoUdLYxvPyZRz7m8CPOm3DIKGUZt/9Z2j1aWiYUCoXprf0jPdRUng+wl2n0ONNUMr0r8oojutMh4j+94702pwlkUYs8fdCiNsWOkAIcZEQ4nbgHcBwCjYMDEePTDA52SJS/VXqMBvXdSgUPVqtkPv39N9+uNn43zmCrgVQLWXe+3WGiuiGj/+dw702ZUmkIVou8A/zbYSOPbEfAT9FXBqRgg0Dw/17Rk1oWOrf0DChXDaitWd3/4tW8J3DqLqPM5zBUodZOEMldD0g/MkJVN3vtTmLkoZovSI+7/uEENOrgzO8q3cCI8Be4PFSyl9PwYaBQCnNnt2jtJoh5Qwne5dKuVzAb0UcPTLO1GSr1+asmOj4JOHBs9AMcap9IFolD1wHNdUi6IMQMY06rXcBvwF4wAeFED83y7tSwFuB66SUX+709QeJE8cnGR9rEoaqr7buzIfnuRQKLr4fsWf3aK/NWTH+Nw6gaz5UCqYWqg9whkvomo//jUO9NmVRUnlHpZTvAX4VI1z/xTnv6ofALVLKP5RSNtO49iCxe9do368azqZcMauIu3f1s2gdQtd8nOFSr01ZMtOi9d3DaD/bvc1S+xqQUv4T8DLMVh0wY8VullJ+N61rDhJKaXbvOpWb0DDBhIghRw6PM9mHIWJ0aopAnkTXg74SrWSFU4038b93dJGDe0uqvms80/CXMCHh04EnpHm9QeLY0YlchYYJnudSKLr4rZDdfdYyBcC/c/+50DDDg0Vm4zgOzkgJPdXCv3N/r81ZkLa+ooUQS61qD4ES8DEhxMlZz2kp5UXt2DGI7JLnvKy8hIYJlXKRZjNk132nuOmh23ptzrJo3WFEyxnpIy8rxhkuo05M4n/7sKnkz+giQrtxxXL/okpzvCY/O2S7hFKaPbtGaTZDhvvww7EY5YrH1FSL48cmGTvbYM3a/hgvFh4aM62V6wHuxj4sPyx74Dio8Qb+Nw9RfuylvbZoTtoVLdvfvQccOjjGxEQLpfIVGia4rksxLjTdJU/xsIcvtadkb/G/vg891YJqsW9WDWcyM0RsfW1vPkVLSrngvkJLOsj7TtJqBpTLxdyFhgnlSoFmI0Tee5Kdt2zP/M+plab11b2oqRbO6kqvzVkxznll1OFx/B8cJTpdw1ufPY+x/74OBpwwjLh/92maOVs1nE053os4Olpn9FSt1+YsSvDj40RHJ8CPcIb6N2R3ip7psTXp439tX6/NmZN2E/GPj/97Z1J3NeOxJSOl/GI7dgwS+/edpVbz0Zhhp3nFdeN2Nc0Aed8pNma5UwLQ+tIe1GQLZ6Sc2d5ZS8U5r4yabNL80h4qz7wmc15uu1/Vt2PKGa4Gds14bDnJdd0BOwYGee9Jms2QSg5XDWdTqRSp13123XeKRzzq4sy2kVZTLfy7D6CnWrib+78XmDNSRp2uEx0YI7zvJMWrNvfapAfQia/quc7hLONfft2FDtNqhezbe4ZWM6SSocGfaVEqe4ShYmyswdEj2R3m2vraPtR4E1wn021olorjOrjDJeNtfWFPr815EO0m4h8kOHM9ZukMe3aP0mgEuK6D10eFiyvFcRzKlQKtpllF3LZ9da9NehBaa1q370ZPtnBWVXLj/TqryqgTU/h37ke9dCduhqr78/+XnyN23XdqOgGflw/HYlTKyV7EU0SR6rU5DyLcdYpw72lTjJmnmrlywXR+GGvQ+ureXlvzAFKPMYQQVwBXAmuAk8BPpJTZ73+RMeo1n0MHx2i1QtatHeq1OV2jWPJQSjM12eLQgTEuvnRdr016AM3P7UJNNHGGS31ZmzUfjuPgrKqgJ1q0PreLylNEZr4oUxMtIcTzgdcBYo7n7gL+WEr51bSunzd2xxXwnucORGiYkISIzThEzJJoqUmzT09P5iMBPxtnpER0pk647wzhvScpXp2NhHwqf/1CiLdjZh/uwCTbJ4CjwFR8/xHAl4QQr0zj+nlklzw1vWo4aFTKJq91/57ThGF2QsTWl/agxprgublIwM/G8VzckRJqoknzs7LX5kyTxmCLZwK/DUTAXwAXSSnXSim3SylXA5cDf4spdfhbIcTOTtuQNyYnWxw5PI4f984aNApFFw3Uaj7792VjCrVWmuZn49BwVTkzoVOncVZV0JMtWncdyMwU6jQ8rd/GCNJvSClfK6V8QCtEKeVeKeUfAL+LaRL4+ynYkCv27BrFb5mR9/0417BdHMeZ9ray0hww+P4RosNj6FaIM1LutTmp4ZQLUHTRE02at+/utTlAOqJ1PXBESvneRY57J3AceFQKNuSK3btO0WwFA+llJZQrBVOndv9pwjDqtTk0PyNRE03c8/q/An4xnFUVEyJ+fhc6Ayu4aYhWGSNGCyKl1MAhYG0KNuSGyYkmR49MxCPvB1e0CvHiQ70esH/f2Z7aEh2fxP/ukenarLzjDJcgUKhjE/jf7H0P+TRE60fAtUKI9QsdJISoYhL1P07BhtywZ/fpgQ4NExzHoRyHiL0eetH8nERPNE130hy2BpqN4zqm2HS8SfMz9/XanFRE681ABfgXIcRCBUV/hxl28Tcp2JAb7t8zSnNAE/CzKZeTEPFMz1YRdSuk+cU9JjQcAC8rwVlVRtd8gh8dJzw01lNb0vgkHMJMjn4lcI8Q4j3AN4EzmGnS12KaB96M8bJGhBAvm32SeDDGQFOv+Rw5PIHfChkZGZyC0vkoFF20hnrdFNpe0oOardbX96FGa6A1DGWzHXEaOAUPqkX0ZJPmZyQjv3pLz2xJQ7S+j1k91MBFwBvnOc7BCNg/zPP8wIvW3r1n8FshXmGwQ8MEEyJ6tFoRe+8/3XXR0lrT/IxEjzdztc9wqbirK6hTNVpf3cvQC2/E7VHfsDRE6yC273tH2Lvn9PRcQ4uhVC5Qm/LZd/8Z1BN0V9vVhLtHCfeMoht92gO+XSoFcECdqdP6yl6qT93REzM6/mmQUl7c6XMOIkEQcfDAWVqtiDVrBycMWYxSyWMiUkxMNDl5YpLzL1jVtWs3PytREy3I2T7DpXJuP2Kzp/sRu/oVLoTYCjwbU1T6aSlldvYGZIzDB8doNUMcBxsazsBxTEdT34/Yv+9s10RLTSX7DJu53Ge4VKb3I+7v3X7EtPYe3iCE+JQQ4q0zHnskcB/wdsyK4Y+FEH+QxvXzwL59Z2n5EaXS4LShWSqleBVx/97ubelpffn+XO8zXCqO55oGgXGxaS9IY+/hRcBXgCdj2jAnvAuzejgJ3IPxtt4ihHh4p23od7TWHNhnkvClAf6AzEe57BH4EcePT1Kv+alfT2tN8/bd6Ml87zNcKknLGv/uA6jJVtevn4an9SpgFXAX8KcAQojrgesAH7hZSnk98ArMCuIrUrChrxkbazI+nr+R953Cdc1qahBEHDyYfs1QeN9Jov1nUc187zNcMmUPCi5qvEnrK/d3/fJpiNaTgCbwc1LK78SPPS2+/aKUMmk6/X+BUeDRKdjQ1xzcfzaugvcG/lt9PkplD78VcXB/+lt6Wl+6HzXZxB0u5X6f4VJwHAfnvLJpEPil+9G6u8UCaYjWdmCXlPLUjMeehCmD+ELyQLz38ACQjc5iGeLgwTF8P7Re1gIkyfiDB8dS/dDoRkArbvTnnGe9rARnpIRuBoR7TxN1MbcI6awePqDiTAhRwTT9A/jyrGPXAEEKNvQtSmnTO8uPWLV65aUOU1O93WqxFEZG1qz4tcWiRxQpJidajI01Wbu22kHLztG6O+4j5TimTskCmIQ8QyXUZIvml/cwctmCW407Shq/hQPApUKIISllHfhpTOeH0RnhIkIIAVyCScpbYkZHazRqPkrp6c4GK+FPXv+MDlqVDm//65V323Ych0LR5LUOHxpLT7S+tm/ay7Kh+gNxzyuhTtfxv74f/ZKdOF1qA57GVT6L2Qj9T0KIZwBvwYSGH04OEELcBPwHJhH/6RRs6FuOHBrHDyKKJZvPWoxSsYDvRxw5PJ7K+aPTNYIfHkPX/HxN2ukU1SJEGnW6TvD97s2qSUO0/hI4Bfw8RqgEpjf8XwAIIZ4AfAuzmngQ+OsUbOhbjh2dIPAjikWbz1qMYsl4WsdSGuTq33UAXfOh5OHY38eDcBwHZ6SEmmrRumN/167bcdGSUh4FbgX+E5DAx4HHSCn3x4fsARTwMeBWKWU2+udmAK01R49OEATKitYSKBQ8olAxPt5kKoV6If9OM+reljnMjzNSQk/5+N8+jPa701E2lcyilHIv8IJ5njsghNgspczGhIIMMTnRYmqyRRgqisX2vk/e+PqPdciq7OK6znS91rFjk1zRwdW9aLRGIE+i6wHuhgHcHL1UygVAo8YaBD84Smnn9tQv2ZPlECtYc3PixBRBYLqUtpvPamdlrp8oFl3CQHHi+CRXXLmhY+f1v3UIXQ+g7HUtwdyPOI6DM1xC13z8bx3qimjZ30aGOHF80nhZ9kOyZApFjyCMOHF8sqPnDb5zGF33TX90y4I4wyV03cf/zmG0Sr/Q1H46MsSpk4mnZfNZS6VQMJ7WqZNTHSsy1Y2A4MfH0fUAp0eN7vqKSgFChTpdI9x9avHj28SKVkbQWjN6qkYYqrbqswaNQsElijTNZsjkRGeS8cFPTqBqPrgMxOCKdnEcx7RirgcEPzyW+vVsiW9GqNcDajWfKGqvqHTQcBzHeFuhYnS0xqrV7Q+bCH5wFN0IcKrte1mjrXTKMTrJhnL7PcmcoVi0fnAMfv6GDlg1P1a0MsLp0RpRqPBcxxaVLpNEtE6P1ri0A9tJgp+cMKK1qv3VyKs+/sq2z5E2p577gbbP4VSLpsh09ykzdTvFFuH2Kz0jnD3TIIxsaLgSvFi0zp5ptH0uVfMJD5yFZohTsW2ul0zBBdeBRkiY8lxK+wnJCGfP1I2nZUVr2RQ8l6hDohXuOoVuhlBwbanDMnDiDeW6GRDcdzLVa9nfSkYYGzOelu0Hv3y8gkMUKc6OdUC07j8NrTAumrQsB6dcQLdCwvvT9bRy+5sRQvw68G7gV6WU/zjPMUPAqzHV+5dgWkF/B3i7lLKrG7knxltEkbaitQJc16wgtpoBzWZIpY0WMuHe03FOpjOrhvf+7Ds6cp5+wCkXUJMtwpT7a+VStIQQO4G3LnLMMKYp4S2Ynl4/BtZjWun8tBDi9VLKN6RtK5geWhMTTVSk8DybhF8uruvgug5RZN7HSmVkxeeKDpxF+xFuh7YEdWJlrm8oFyCIUKfrqMlWx97D2eTua10I8ThMe5zF5jy9EyNY3wcuk1LeJKW8CHgxEAKvF0I8MU1bExr1gDBUKEVXh4/mCddz4qaAzRWfQ/sh0ckp8COwBb7LxnEdM60oiIiOptMuCHIkWkKIihDi9cDtwNpFjr0MeBGm28QLpZSHkueklB/EtNcBeH0qxs5iqtZCKY3r2XKHleK5DkppalMrn84THZ2EQJlPhfV4V0bRQ/sRUUrtgiAnoiWEuBzYBbwufuhPMB1U5+OXMCPM7pJS/mSO598d3z5SCHFhxwydh9qUj4q6O+I9b7iua0SrjZFi6tQUOoygYBswrhSn6EEYoU52di/oTHIhWsA2zECNu4FbpJRvWuT4W+Pbr8/1pJTyCOdE77EdsXAB6jUfpZQVrTZwPQcVaeq1lY8ciEZrECpTc2RZGQUXHSqi0Xp6l0jtzN3lMPB0KeWnlnj85fHtQkPb9gMXAVe2YdeSaDZDlAbXfruvGNdxCLSi0Vy5aKkzdXSobH1WOxRcaIWoM1a0FiSepbhn0QPPsSm+XWhL+un4tnNNmuah2QhMTst6WivGcc0qbLMRrvgcerIFkTLJZMuKcGKPV6c4eXpQfztD8e1CS01JpeLQAsd0hJYfoZW2g0DbwHUctNK0Wm2I1lSL2OXtoGUDhuuAUuj6ynOLi14itTNnm+U0s069q1ngR2itsdHhynEcB60hDFbep1w3Qyta7eI6oLTp+prWJVI7c7aZim8X6mOSDNJLLziPCYIIrbErVm3gOKYnmd/GcAUdROYryv4aVo7jgAYdqtQuMaiilWyOWqiPSZLLSnf3JxCGynhaaV8ozzgOGoiiNj4skcaqVodo5/ewCIMqWvfGtxcvcEzy3K5ULcEkkAH7WWkDxwE0qHY+K9NhYfp9znNPin/Lgypa34hvb53rSSHENiApKr0zbWOU0vH3u1Wt9tCodlSr4E6HN5YVEjuqaQ63HVTR+s/49nFCCDHH8y+Pb78yY8isJec4RS9JjvXalP7FJGdT3bs5kKIlpdwN/CtmK8//xNuAABBCvAj4w/juG7thT5KA1/Yrvk3a27vpjJSmV78sKyRefXVTnMqdi+LSFfLbwHXxv/uEED/CbLS+KH7+tVLK27thiOfZwLBdEueonQJd97yy2SgdWdFaKTpSOJ6Lk1JbGhhQTwtASnkak9N6AybZfhVmNfErwHOklG/uli2u65jVL/tZaQNT59ZOE0VndRXHc9EprnzlnkiD5+B2YCjIfOTW05JSXryEY2qY9jOvT9mcBSkWvek6I8vKSOrcim3MKfQ2DptkfM2K1ooJTJcMd9PKGzEuxsB6WlnCiJb1tNoh2VFQbGOzs7tx2CTj26iqH3R0qHCKLu5GK1q5plwp4LqgbQJ4xWhlOmeW2+gP712wyqx6Rcr+LlZKYLq+elvSazNtRSsDVKsFXMdBWVdrxSitcR2HSnXlswrdVRXctVUoeKblsmVZaKXRQYRT8ihsX5PadaxoZYBKpYjjOvbbvQ1U3CWjnUk8AIUL1+CUPbS/8m4RA0sQ4RQ83FUVnLXVxY9fIVa0MsDQcNFMk7GitWKU0niuw/Bwqa3zFC7fYEa6N61oLRfdDHHKBfMeprj534pWBhgZKeN5LsrWB60YFSlcz2FkpE3RumIjVIroNvpyDSq6GeJUChSuSLdvphWtDDAyUsaNp8nYsoeVEcWdX0faLGos7NhoPK1ApdpeJW9oraEZ4FSKFHZsWvwFbWBFKwNUh4oUi54RLuttrYgoUniey6pVC7VIWxx3pEzhsvU41QK6kV4ju9wRKNDgDJcoWtHKP67rsHp1Bc9zCG019rJRSoM21fCrV7cnWgDF6y7AqRataC0D3fBxqkUKV23CaaPAdylY0coIq9dW8Qpue03sBpQozmcNj5TaqohPKN20FWe4BHXfhutLRNcCnOESpZu2pn4tK1oZYd26KoWCS2TzKMsmDBWFgsv69Z2ZQVLYsQl33ZCZymNXERdFRwqaIc5QkdLDUp9tbEUrK6zfMEzBcwmtaC0bI1oe6zokWo7rUNq5HWe4hJ5Kb6pMXtC1ODS8ZB1einsOE6xoZYT1G4YoFNzpfvGWpRPFntaGDcMdO2fpkZfgjpTRtZb9fSyCnvJxRkqUH31JV65nRSsjrFs3RLFsuj1EdgVxyWitCcKIQsFl4+bOfcsXrz0fd/N5UPBSHYfV7+ggglaIM1Km9EgrWgOF57ls2jRCoei1Nbtv0IgiM8WoVPY6ltOCePP1oy/BPa+Mnlhopu9goydbpszhuvPxOujpLoQVrQyxafN5FIsegc1rLZkwiCgUPTZtGmmrAeBcVJ5whenA2QyNR2F5AFprI1qrKlSedGXXrmtFK0Ns2bKKYtElsB0GlkwQRJSKHudf0PlWKN6WVRSvvwBnpISeaHX8/P2OrgXgungbhyndvL1r17WilSG2bFtFsegRRercLETLgvhBRLHksXXb6lTOX3nKDtxVVfRk03bhmIUeb+CuNl5W2gWlM7GilSFGRsqsXWvqtQIbjiyKUgoVaYpFly1b02k6V9q5HW/7aigV0FPW20rQzRAChbumQuXJc03hSw8rWhlj+4VrKJU8fBsiLorfMl7Wxk0jVNto/rcQjutQedpVuGuq6LGmLX+IUWMNnNUVSo+6xBTidhErWhnjwovXUioX8G0TukXx/YhSyeOii9amep3K4y83RZOug67ZYlPtR9AIcFdVqD7zmq5f34pWxti2fTWlkoeKtN2HuABa62nRuvDidEXLqRapPD32ts42Bt7bUmMNnFUVSrdcSOHCdN/7ubCilTEqlSJbtq6mVC7Qso3o5iUMFY4DQ0Ol1PJZM6k8ReBuNHVIg+xtaT+Cmo+7psrQc67riQ1WtDLIpZeto1z2z2tpyAAAGSdJREFU8Fs2rzUfrVZIqVzg4kvXdbw+ay7ckTLVn70ad+3QQHtb6mycy7plO4XL0+1QOh9WtDLIJZetp1wuEASRLX2YA601rVZIuexxyaXrunbdytOvwt08YqaBD+BGat0Koe7jrq4y9LyH9MwOK1oZZO3aKhs3jVAseTZEnIMoUmgF1Wqxq6LlDpUYevZ1uOuG0GfqA1e3pc7UcdZUKT/6EgqXdO99n40VrYxypdhApVKgZfs5PYhmM6RcKXDRxWspl9sbGbZcKk/ZYWb6Fb2B2pOoGwH4Ee66IYZe0DsvC6xoZZbLr9w4I0S0q4gJWmtazZBKucAVYmPXr++UPKrPvwFv/TDqbMM0wMs5WmvU6Tru2iEqT77STOLuIVa0MsratVUuuGAVpbJH03pb04SBEYmh4SKXXra+JzaUH3sZBbERd7iEPtvoiQ3dJMnfuZtHGPr5G3psjRWtTLPj6k1UKkUrWjNoNgMqlQKXXbGBUhf3u83EcR2GX3KzyW1NtnI9jVorjT5Tx10/xNBzr8dtc9pRJ7CilWGu3LGRarWIijRhaMsftNY0WyGVapGrrk53TNViFK89n9IjLsZZU0WN1nNbAqHPNszU6EvWUXnKjl6bA1jRyjTVapHLLl9PpVKg0cjvt/lSaTVDCgWXtWurbNu+ptfmMPySm03ju1Dlsrup9iP0RBN3/TDDL9nZ1U4OC2FFK+Ncc935VIeKNJtBbr/Nl0qjGVCtFrn6uvNxXafX5uBtGqH6rGtw1w+hR2u5KoEwyfeaKSTduZ3iQ9MfDbZUrGhlnO0XrpluVzPI5Q9hqAhDRaVa5OprNvfanGmqz7oW78I1OKUCeixHSfl6AL7C2zDM8Et34ji9/5JIsKKVcVzX4drrL2CoWqQ+wBOPG42AaqXIZZet57zzyr02ZxqnUmT4tp24G4bQ481ctGXWynhZ7oYhKs+8Bm9Lb0scZmNFqw+45trNVIdKqEgPZHNApTTNRkB1qMj1D7mg1+Y8iNItF1K6eTvO6gpqtNb3Ybwea+AUC3gXrmHo2b3ZFL0QVrT6gKHhEleKjVSHijRymPBdjGYzoFjy2LBhOBMJ+Nk4jsPwyx6Gt3EEgv5Oyms/Qo83cTcMM3zbTpxKOs0V28GKVp9ww41bqFaLtFrhQPXZ0lrTqAcMDRV5yE1bMpGAnwtvyyqqz7wGd/1w3yblzyXfq5R2bqd0S/oj7leCFa0+4fwLzmPrttWUKwUaA5Tb8v0Ix3E477wyO67OTgJ+LqrPvo7CxWtxyoW+rJTXNR8ChbdxmOGXZSv5PhMrWn3EjQ/dytBQkWZjcMof6nWf6lCRa6+/oGcV8EvFKRcYftlO421NNE3DvD5BK40+XcfdMEz12df1fH/hQljR6iMuu3w96zcMUyh4A+FtBUFEFGoTGt64pdfmLInSzdsp3XphXCnfP0n56cr3i9dRfVb3+74vBytafYTrOtx401aGhk1Cvl8+ECulXvMZGiqy46pNjGSozGExhl/6sHOV8n3QLFD7oal83zDM8C/vxCl1t93PcrGi1Wdcfe1mVq2u4LhOrhsEhqHC9yOqQ0Vuunlbr81ZFt6mEao/fz3uxmH06Ww3C9Rao0ZNc7/SrRdRuin777UVrT6jWPR4yE1bGR4qUa/l19uq132qVdN+ZkM8UKKfqP7sNRQuWYdTLaDP1nttzrzomg9hnHy/bWevzVkSVrT6kBsecgEjq8podC6HukaRotUMGRousvOW7b02Z0U4JY/hlz0sTspns33NA5Lvz7nezHbsA6xo9SGVSpHrrj8/9rb83Hlb9brpmbX9wrVckLEtJMuhdONWSg+/KLPtax6QfH9GtpPvM7Gi1afc9NBtDI+UiJQmCPJTbKqUotkIGBou9a2XNZPh27LZvkYHM9rOvPTmzLSdWQpWtPqU4ZES1153PsPDxtvKC/V6QLlSYMvWVVx4Ufa27CwXb/N5caX8EPp0dirl1em6aTtz8zaKD81+8n0mVrT6mIfu3MbQUJEwVAQ5yG0ppWk0AoaHS+y85cLMVmQvl+qzrsXbthoK2ZjgoxsBtEIzWee2m/vufbai1cect6rCNdeez9BwkVq9/72tRt2nXCpw/gXncellvZur12mcapGhX7wpExN8Zk7WqT5lB4Vt/efNWtHqc25+2DaGhkqEgerrtjVKaep1k8t62MPz42UllB9zKYUdvZ/gMz1Z5/zzqD6v95N1VoIVrT5n9ZoqV12zyXhbfZzbatQDSmWPzZtHejYaLE0c12H4xTMm+PTgC2Z6ss66IYaefS1uH+0ymIkVrRyw85YLY28r6ktvSylNveEzHHtZWW0/0y7Fa883zQJXVVBnul9wqieaUPQobF9D5alXdf36ncKKVg5Yu7bKjqs3MTRU6ktvq9EIKBU9Nm0+j8uv3NBrc1Jl6IU34q6tQj1Ad3EbllYaPdbAWz9E9fk39FWJw2ysaOWEh92ynaHhYt95WyaX5TM8UuJht2zPrZeVULh4HeVHXWIKTruY29JjDZxKEe+SdZQfe1nXrpsGVrRywtp1Q4gdxtvqp7qtxMvauGmEK8TGXpvTFYaed4PxtpohugsTlnSkUONN3LVDDD3vBpw+/2KwopUjdsbelh9EhH3gbSmlacRe1s4B8LISvK2rKT/mUjMIowtjx/REE7dapHDZekq3Xpz69dLGilaOWL9hmCvFRpPbytCWkfloNgKKRY8NG4cRO3o75r7bVP//9s49Wq6qvuOfM++Z+87z5p1LSH7keYkkMZAUgoXoEkgqiKs8xKhI0Yq6aqu0Ugt0sVioVQpFWdYqtkiBslAaKwIFlUILYgQFgR+Gd3kWxJDkPmZu5vSPfYY7GeZO7s2d9/w+a83aM+ecfeY3M+d857d/+7f3Pnkloe4EDFY2tuVnfbdQRU+K5CkrG97LAhOtpsP1JEZJp0cYGanfMYm+7/Ky2tpirF3XvD2GYxGZ00X8qL7A26pclrz/5hBePEp4YQ+xoxZW7H2qiYlWkzFtehuLl0wjlazvvK3BwQyRSIgp09qQpa0RyyokuXU5oa4EDKQrkrfl+87L8roTJLcsawovC0y0mpK16+eTaouRHq5Pb8v3fQb2Zmhrj7Fm3VzC4da8DCOLphJdNRuvPY6/q/zelr83DeEQ4d4O4kc3do9hPq15tTQ5M2a4rPJkKspAHY5JHBocIRwJ0TMlydI6Xxas0iS3LCPUlSC7e7jsM0D4u4YIdSVIvFsaOi+rEBOtJmXtO+eRSsUYHqqvxV1dLCtNW1uUI9bOIxJp7UswevgcwvO63VqJe4bLdl5/eAQyWSdaxy8p23nrgda+YpqYWbM7WbCwh0QyykAd9SQOD40QCnl0dydZsbK1vSxwYxIT7xFCXQk3LXOZZjf1dw3hdcaJbegj1J0syznrBROtJsbNAOEWd81ma+9t5XoMU20xDn/HHCKR5mmyTIb4pkUuID+SheHJB+T9rE92b5pQR4LE8YvLYGF9YaLVxMyb383sOZ3EE5G68LbcIhw+HR1xVh0+q9bm1A2h9ribS74jjr978k1Ef88woUSE8IJuIk2Y/2ai1cR4nseadS62NTiYIVvjqX4H9qZJtcVY1T+LeLy+FwStNol3HUqoM052z+QD8v7uYbyOBIl3Hdp085KBiVbTc8iiqUyf3kY0GmZoqHbeVia9j31Zn1TKNQ2N/Yks7yU0swMvGp7UAhh+Zh+k9+G1xYht7CujhfWDiVaTEwp5rF4zxy2AMVC7xV0HBtwS98uWz6StPVYTG+oZL+QR39hHqCM+qV5Ef08ary1GdGUv4amNt8jteDDRagGWLptJZ1eCUMhjuIpzOOUYGcmSzuwjmYyyeo15WWMR39iH1xbDH8gcdBPR35vGa48T39CcXhaYaLUEkUiIVf2zSKWiNfG2BgczJBNR+g6ZwpQpqaq+dyMRXthDeHYnXjyMfxBJwX5mH2T24aWixNY2/pqRY2Gi1SKs6p9FW1uMbNZnpIqLu2azPkODGZKpKKuPMC+rFJ7nEVu/wC1+sXficS1/bxovFSO6vNelUDQpJlotQqothiydQSoZZWCwegH5oaEMsViYGTPbmTe/8ZarqjaxNXPx2mIwmJ6wR+wPZPBSsab2ssBEq6U4fPVsEsko6eHqDO3xfZ/BAedl9a+e3ZTd7+UmsmQ6oZ4UhEIwgVlN/awPQyOuadjkvbMmWi3E9BntzJvfRTwRYagK3lY6vQ/P8+joiHNYEyY5VgIvHCLaPxsvFXUrQY+XwQzEw4TndhGe1Vk5A+sAE60WY1X/bFLJKIODIxUPyA8GsaxlK3qJNtEsA5UmumoWXnJiouUPZvCSUaL9zT/SwNKSW4xFi6fS0ZXgzd3D7N49TLhCE8P5uITSrq4EK1f1VuQ9mpXoyl68ZBRe2YOf9cc1eZ8/mCE0rZ3oiuYXLfO0WoxwOMTyFTNpb48RCnn4UJEHQEdnnPkLeuixNIcJEZ7eTri3E2JhGMcoBn8kC5ksXiJCdHnzz5zR0p6WiKSAzwF/DPQBu4EdwOWqemstbaska9fNw/M80hVONA2FXX6YMXGiy2aQeewVsm8M4h1gWI8/koVEhMj8bkLtjbnU/URoWdESkTbgTuCdQAZ4BJgKbAY2i8iFqnpRDU2sGLF4hKM2Lqy1GUYJIit6Cd32BNlxNA29cAgvHiG6vDWa4S0rWsBVOMF6CNiiqs8DiMgHgW8DF4rIvar6nzW00WhR4hv68HcPj3+qmliExHHNN3dWMVpStERkEXAmkAXOyAkWgKr+i4gsAS4ALgRMtIyq40VCJE9cVmsz6pJWDcR/EAgD/6OqjxbZf3VQbhCR+dUzyzCMA9GqonVkUN5TbKeqvgA8G7w8pioWGYYxLlpVtA4NyidLHPNMUDbXUiaG0eC0qmjlxpT8X4ljXg/KaRW2xTCMCdCqopXLdiy1rO9gwbGGYdQBrSpaE1mnqbarQRiGsR+tKlp7grLUTGm5FS4HKmyLYRgToFVF67WgnFrimFws69UK22IYxgRoVdF6LCgXljgmt++JilpiGMaEaFXRuj8ojyy2U0TmArmk0v+uikWGYYyLVhWtfwvKTSIiRfafG5Q/U9VnqmOSYRjjwavV4p21RkS+B5wOPApsVdWdwfYzge/gxmUeP9kB0yLyZiwW65g/30YDGUaOnTt3blfVLQdTtyUHTAd8ClgZPB4XkYeBHmBBsP8LZZrhYSCdTrNz587nD3yoYRgHomU9LXhrTq2/AD4AHIKbV2sHcIWq3lxL2wzDKE5Li5ZhGI1HqwbiDcNoUEy0DMNoKEy0DMNoKEy0DMNoKEy0DMNoKEy0DMNoKEy0DMNoKEy0DMNoKEy0DMNoKEy0DMNoKEy0DMNoKEy0DMNoKEy0DMNoKFp5Pq1JISILgafH2O0DbwDPAbcCX1PVUgvD1iUisg03IeILqjo3b/tPgWOAS1T1gtpYVxoRuQb4EG722U3j3VfG918MnA8cD/QCvwPuA65S1TtK1JsKXABsBebirqN7gS+p6n0TtGET8JPgZd+BZuGtxvdSDszTKg+P4C6s3OPnuBV/VgB/CTwqIitrZ55RTUTk3cCvgI/gVnx6FLfW5lbgdhH58hj1ZuLWL/gMMBP4Ne4P8H3APSLykcpbX/+YaJWH81R1Y95jvaoK7h/2P3DLkd0kIs3yfZ8FLAUur7Uh9YaITAP+Fbdu5vXAbFU9XFXnAGfgxOvPReSUItVvABYBdwBzVXUNMBvnsYWBq0VkaRU+Rl3TLDdRXaKqr+Pc7WFgCbC5thaVB1V9TlUfV9XXDnx0y3E2btruZ4Btqrort0NVrwP+MXh5bn6loCl3DG4h4dNV9Y2gTlZVLwOuBaLAFypsf91jolVhAuF6JHi5opa2GFXhaZyn9XVVHS6y/9dBuaBg+7agvGWMP4Org/KPRCRZZH/LYIH46hANyt2FO0QkApyGm6f+HbgYyAjwInAX8FVVfduCsUHc5E+B9bh/9l04cbwR+JaqpovU6QQ+DZwMHIr703oKuBnXWfD78XyYYoH4vI6JV4BZuHjOOcCyoNojwDeBa1T1bXN8l8u2WqOqN+CaeWOxJih/W7A9twbnPWPU+znuumgLzvFfB2vjRCgI5h+ID6vqNZWzxmGeVoURkUU4DysL/LhgXxK4Hfhn4EQgDTyM62laDPwJ8EsRWV1Q71PBuU7CLcbxEE4QjwGuAm4TkXBBncNwweGLcSsQvYi7cQ4Dvgg8FBwzWTzgu8C3cE3iJ3A323rg28ClhRWqaFvNEJFuEfkb4MO47+OyvH0h3MIqAE8Wq6+qGeCF4OWSCppayC7272QqfLyUd+xz1TDIPK0KEAhGN3AU8BXcn8MlqvpswaGfB47F9TS+V1UfyDvHWuAWnNfyV8CpwfZuRi/401T1+rw6m4EfAJuC468PtrcB24GFwTk/oaovBvt6cQJzAvDvItKvqoOT+PgzcOtJfhrXvb9PRBK4WM6ZwGdF5O9yKSBVtq3qBAH3i3DeYxx4Hvi4qt6dd1gPo/diqdSY13HNymkVMLUoqvogsLHYPhFZxugK7Ber6l3VsMlEqzz8pPhC1W9xGfDXRbYfh/PALsoXLABVfUBEvsGo95FDgAQuf+eGgjq3i8ilwCqc15bjbNxN80vgFFXdl1fnZRE5FXgM591tA75R6sOMg6+r6hV57zEkIp/B9Z5FgHW4XtVa2FZt1gHL8173ACeKyN2qmgsXpPL2D5U4V06wUyWOGYunD3CNToggPeNHQBcuJHFh2U5+AKx5WB4K87TuA36D6zUE+DPgisImm6puxAnQ1RRnICjzL9Kncc2LHuAaEekvOOffquqpBes2vi8or88Xhbw6g8BNwcuTxvqQE2B7kfd4nVEvoruGtlWbK4F2XOrCNpzwnAvcFcQzwaVBTISDWffvF5Ru5t0LvDqeE4lICvcbL8DF2j5ULE5ZKczTKg/nqepPCzeKSAx3of4D8Elcrs0n8o9R1YyI9IjIelys4pCgXI1LMIS8PxdVfVVELsN1fZ8FnCUiLwN34uJjPyrS+5TrtfyYiGwd4zP0BmU5YkcvjLE95ynkX3fVtq2qqOr/Bk/3At8VkftwMcg1uObyNbg0hxyJEqfL9RoOlDhmLE6dQEZ8qWNCwHXAWlxTd6uqlvIOy46JVgUJevC+KSKzcO7zOSJyqao+DyAiHcDf4y7eaF7VNK659CDwniLnvUBEduCE8GjcTX1G8BgRkeuBT+blCHUF5eLgUYruA+wfD2/ruSzAy3tebdtqiqqqiNyMi/ttYlS0hnExr6klqudiWePyiCrEV3GZ/XuBLar6crUNMNGqDrfgRCuM86Cez9t+LM4DuZLRZuVvAw/sYxQRLQBV/T7w/SBV4BjcDfBenDdyJk4MtgSH7w1en6SqPyzzZ5ss9WzbhBGRKUAf8GyJ5Ntch0wvuARSEVFcLHLhGOeN4pqY4Hpkq46InIfrYMkCZ6jqQ7Www0SrOmTznnsAQXPw2GDbCapaLBdmbuGGIE1iMeCp6q9U9U1cfGE7rmfufFxawUki0hV4W8poQLioMAQDfLtwN1s1B3fXs20HwwO4Jv7ngS+NcUwusTS/GX0/TrSOBP6pSJ11uPt1COeBVxUROYnRYVvnq+ot1bYhhwXiq8MJQekDO4LnfXn7d1BAEOw8LXiZ/+dyDi6n6VoR8Qrr4cat5cgF/nOB8bOLZVMHAeFbcDfcV8b+GBWhnm07GG4PyrMD72g/giTcXOdDfofFjUH5/sBbK+TjQXlDtdM+ROQIXJZ/CPiOqhYd8F0tTLQqiIh4InIyo+PFbsoLzD6ed+gX8y/wIP/lVkZjPPm9hzfiYkYrgK8FeU65etOAS4KX96vq74LnV+GSAA/F5TvNz6szPTjn0uC81RaGerbtYPgyrrm/GLgu+E0ACJKEb8MF1O/GiXGOO3E9eF3AD4KUAkQkJCKfw8UrM+QlpVaD4PfYjsvEvw2X8FxTrHlYHq4UkV0F26K4+MSM4PUORv8tUdUHReRG3PCdzwLbRORpXCA254XdgZuPqUNEOlX1TVV9KZii5FpcfOGjIvIk7rdchOt9eg34aN57vSEiW3AX33G4nJ1Hcc1WwQWAR3DJqg+X4wsZL/Vs28Ggqk+JyAdwOXTvxzXTFfe75DLZ78PlpPl59XwROQv4GfAHwLMi8ggwBxf78nHDZB6r3qcBXM/3rOC5h/tjSTHqxefzoKqeV2mDzNMqDyuADQWPVbgeoR/ihm6sD3KV8jkd19x7APdb9ONu0u3Aiaq6mdGhEW/lKKnq93CB95uA3+PG9y3ADX25FFiqqr/JfyNV/UVg58W4QbsLcR7MK7hhREcU5HZVjXq27WAIOhT6cWMtX8J9lpm4cYXnAkcXC9Kr6lO4jprLcfGulTix+zHwh8HvXm06855vxnUMHc3br/cN7J8EXTE8369aTphhGMakMU/LMIyGwkTLMIyGwkTLMIyGwkTLMIyGwkTLMIyGwkTLMIyGwkTLMIyGwkTLMIyGwkTLMIyGwkTLMIyGwkTLMIyGwkTLMIyGwkTLMIyGwkTLMIyGwkTLMIyGwkTLMIyGwkTLMIyGwkTLMIyG4v8BSY+FIUislisAAAAASUVORK5CYII=
|
||
"
|
||
>
|
||
</div>
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</div>
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</div>
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</div>
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</div>
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<div class="cell border-box-sizing code_cell rendered">
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<div class="input">
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<div class="prompt input_prompt">In [29]:</div>
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<div class="inner_cell">
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<div class="input_area">
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">dd</span> <span class="ow">in</span> <span class="n">stuff</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
|
||
<span class="n">baseline</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'base'</span><span class="p">][</span><span class="s1">'out_field_mean_rate'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
|
||
<span class="n">stimulated</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'stim'</span><span class="p">][</span><span class="s1">'out_field_mean_rate'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</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">violinplot</span><span class="p">(</span><span class="n">baseline</span><span class="p">,</span> <span class="n">stimulated</span><span class="p">,</span> <span class="n">xticks</span><span class="o">=</span><span class="n">label</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="n">colors</span><span class="o">=</span><span class="n">colors</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"Out-of-field rate"</span><span class="p">)</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">"spikes/s"</span><span class="p">)</span>
|
||
<span class="c1"># plt.ylim(-0.2, 8)</span>
|
||
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"out_field_mean_rate</span><span class="si">{key}</span><span class="s2">.svg"</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"out_field_mean_rate</span><span class="si">{key}</span><span class="s2">.png"</span><span class="p">,</span> <span class="n">dpi</span><span class="o">=</span><span class="mi">600</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_wrapper">
|
||
<div class="output">
|
||
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt"></div>
|
||
|
||
|
||
<div class="output_subarea output_stream output_stdout output_text">
|
||
<pre>U-test: U value 3642.0 p value 0.9495581436162017
|
||
U-test: U value 1859.0 p value 0.8701783404716995
|
||
U-test: U value 1017.0 p value 0.8159007523250839
|
||
</pre>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt"></div>
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||
|
||
|
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|
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<div class="output_png output_subarea ">
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<img src="data:image/png;base64,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"
|
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>
|
||
</div>
|
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</div>
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</div>
|
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</div>
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</div>
|
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<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [30]:</div>
|
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<div class="inner_cell">
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<div class="input_area">
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">dd</span> <span class="ow">in</span> <span class="n">stuff</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
|
||
<span class="n">baseline</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'base'</span><span class="p">][</span><span class="s1">'burst_event_ratio'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
|
||
<span class="n">stimulated</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'stim'</span><span class="p">][</span><span class="s1">'burst_event_ratio'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</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">violinplot</span><span class="p">(</span><span class="n">baseline</span><span class="p">,</span> <span class="n">stimulated</span><span class="p">,</span> <span class="n">xticks</span><span class="o">=</span><span class="n">label</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="n">colors</span><span class="o">=</span><span class="n">colors</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"Bursting ratio"</span><span class="p">)</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">""</span><span class="p">)</span>
|
||
<span class="c1"># plt.ylim(-0.02, 0.60)</span>
|
||
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"burst_event_ratio</span><span class="si">{key}</span><span class="s2">.svg"</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"burst_event_ratio</span><span class="si">{key}</span><span class="s2">.png"</span><span class="p">,</span> <span class="n">dpi</span><span class="o">=</span><span class="mi">600</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_wrapper">
|
||
<div class="output">
|
||
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt"></div>
|
||
|
||
|
||
<div class="output_subarea output_stream output_stdout output_text">
|
||
<pre>U-test: U value 4152.0 p value 0.10161200342185885
|
||
U-test: U value 1757.0 p value 0.718407479245363
|
||
U-test: U value 1300.0 p value 0.010937547927479946
|
||
</pre>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt"></div>
|
||
|
||
|
||
|
||
|
||
<div class="output_png output_subarea ">
|
||
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAASgAAAG1CAYAAABK/2mEAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAXEQAAFxEByibzPwAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8li6FKAAAgAElEQVR4nOy9eZgkV3Wn/UZERu619L5vaklXElpASCAhQBJoAWSWMQZjI28zYxtjG/PYYzNjPLbA2Nhje8D2wMeMx3hsxng8ZmwwZjHQSEIbElpae9+Weu/q7uqq6lpyj/X7IyJbRVFLLlEZudz3eeqJyorIG6eyKn95zrnnnqv5vo9CoVB0I3rcBigUCsVSKIFSKBRdixIohULRtSiBUigUXYsSKIVC0bUogVIoFF2LEiiFQtG1KIFSKBRdixIohULRtSiBUigUXYsSKIVC0bUogVIoFF2LEiiFQtG1KIFSKBRdSyJuAwYFIcRu4MgSp31gGjgOfA34hJRyokOmtYUQ4mVSymcX/OwosAv4WSnl/4zDrjgRQmSBjVLKo/N+9tPAXwFjUsrtMZnWcygPKh6eAR6Y9/UIMAlcDvwn4DkhxBXxmbcyQogtQojPA1+P25ZuQgjx48BB4Ja4bekHlAcVD78spbxn4Q+FEOuAvwbuAL4ghLhUSul12rgGuR34MWBskXNvBEzgdEct6g5+H9i2yM//CfguYHfWnN5GCVQXIaWcEkL8FMGb/mLgNnrQQ5FSHorbhm5DSjkLzMZtR6+hQrwuQ0o5RRACQhDyKRQDi/KguhMzPBbm/1AI8b+AnwL+Vkp558InzUvEHpNS7p7383uAG4G3ANcAvwQMAYeBH5FSHhBCbAM+BLyJIMFtASeAbxIk7Y/OG29+I/tt9cdSSi08f5QFSXIhxE3A3cDDwOuADwA/CVwU3utx4E+llF9a7AURQlwD/AZwHbABOAZ8DvhjQIb32zPfzqWY9zr+AuABvwVsDH/fn62H30KIlwPvD+3dBqQJJjMeAz4rpfzCvDHvAn5n3m3+QgjxF8BHpJR3rZQkF0K8MbzXa4B1BN7Wo8BfSCn/caXfqV9RHlSXIYTYS+A5eUQf3n0Y+CiB8J0AhoEXwns+DvwysJXgDX8EuIBASJ4UQrxi3jgPAC+E31u8lOxvhCTBTOUfh/d6nuCD8mbgi0KI9y18Qvjm/i7wLiBP4GGuBz4GfJtAOFrhTuC/AxrB77MF2B/e8xcIhOhngU3Ai8AhYAR4M/APQojfmzfWcYLXoBY+fjF8fHwlI4QQfw58C/hhgg+n/QSv65uA/yeE+HshhLnMEH2LEqguQAhhCCHWCSHeCnyV4O/ycSnlsYhvdQPwISnlhVJKAbxSSukCv0fgQXwB2CylvFJKeSWBV/IggZB9vD6IlPK1BMlggAkp5WvDnzXCK4BXA++VUm6QUr6SwDvZF57/mBDivGcvhLgM+AvACG3YLKW8FthMILjXEwhIK9wA/Ddgt5TyCgIPbEYIcRHwpwR/h98CNkkpr5ZSXkogqv83fP6vCyHWAEgpPxu+BmfCc38Yvi6fXc4AIcSvEXi0DvCLBOUJr5JSbgPeDRTD4x+3+Dv2NEqg4uFuIYRf/yL455wE/pkgOf6HwH9ehfseA/6o/mBerdVV4fFvpZTFeefHgV8h8OSei9CO35FSfn7efWYJwjcIwhsx/1oCD+sLUsrflFJa4XMcKeXvA59pw44q8B9DkZ7/etxG8Dd5TEr5e1LK8zNvUspzwH8IH5oLbG0KIUSaQAABfltK+en5s7ZSyn8g8OAAfjGspRsoVA4qHp7h+2d0DIKc0IVACvhVICeE+GD9zRMRD0opF9sI8QXgEuAPQsH8hpSyAiClfJQgpImSLy/ys+fnfT8KIIRIEuTNAP6/Jcb6JEEuqRWekFKWFv5QSvkp4FNCiMwSzyvP+z7b4r0hyG2NEojhp5a45u8JvKdtwA8ReHwDgxKoeFiqDioJ/DTBP+EvEQjX+yO871J1Sb9NkAMSwBeBmhDiQYIE+VellE9GaAMsUjslpawIcd4Zqf9f7ibIOQEsaoOU8qAQokAg8M2yUp2WJYR4FUFOcG/4dQWBmNdpJwqpj/OClHJusQuklL4Q4nECgWrZW+tVVIjXRUgpLSnl/yDICQH8nBBiR4S3qCxx3/0EYd7/BKYIvLibCfJM+4UQTwkhGs0xNYK1wnktPK6f97PiYheGLPrmboBFXw+AsB7tBMGs418Cvwn8KJAJH0fBcHhcqT6q/vu1IsI9jRKo7qQ+1W4QJJUXoi3yM4BcqzeUUh6WUv4sQbL8VQQ5oX8lqHy+AvjXiMWyEeaHX8NLXhXxGzcUp/9FMKv3deDnCRLqa6WUFxAks6OgXkYyssJ1axZcPzCoEK87mb+8Zb4YOeExtcTztjZ7IyGERjBbd6GU8lthkvZ74dcfCSEuDr8fJpgG/9Nm79EGksDbSgJX8tJM33nCxPFy4tUK/yk8/o2U8qcWOR/VYt8D4fEiIcTwYmGeEELnpQ+pFxae73eUB9Wd3BEefYJanDqT4fESFiCEMIC3tXCvtQT/+N8MiyG/DynlQV6q5THmnaqL6FLeXNtIKasENVMA/26Jy35+FW69Jzw+tsT5fz/v+4Uf8s28LvcTFH4mWNorew+BJ+fTg8ue2kUJVBchhNCEED9MUN8DwdT6yXmX3B8eXyaE+EDo/RDW4nyWFpbGhEtr6iLwV0KI8+InhNCFEO9n8cLRek5orRBiNXMjvwu4wI8JIf5zvWAxfK3ex0tT/lFS92x+PqywJ7zncFgx/h/nXbtwFq/+uuxa6SZSyjIv1Zd9VAjx/tBjqt/vnQSFpAD/I/ywGChUiBcPfy6EWJgYNQlmrTaGjx/jB6fPvwrcRzA9/afAfxBCTBJ4VEmCmqGPtGDPzxMkyS8HnhVCHAFmCN5k9UT1b0op59dCPUUgWmlACiFOAbeHghcZUsrHhBAfIJjZ/CjwQSHEi6FtmwiS2K8OL3cWH6VpPkyQB7wMOCyEkOHPLyL4fQ8TeDR7+cFw7wmCnN2HhBB3AP9PSvmxZe71xwQe2y8QlBp8RAhxOBy3HrJ/Afhgu79UL6I8qHi4nCDpOv/rSoJlEv8C/Axw3cI3e5gfup2guO9ZAjHbRbBM4gbg87SAlPI0cC1BEedzBCHFlQSFjP8HuEFK+YcLnvMiQUnEQYLiyp0EAhs5UspPE6wl/BcCUXw5QWj0IYKZtTrlH3x2S/f7F4LX44sEleGXEvx+TxPkp64C/ja8/K0Lnv4fgP9HkOAX4XOXu5cvpXw/QXHoFwm8xXrO6cvAO6SU7wrD3YFD8/3F6vYUit5ACPEygsLXGpBZohBV0aOoEE/R1Qghvk4QZv6WlHKxJHG90ny/Eqf+Q4V4im7nOeCVwJ+EXReA80nyd/BSi5OlloooehgV4ilWlXl9kP6eoFTgPxKszt9FkKd5EPgvUsr7FjzvEoJi0VuA+QWi5wjKHrby0oTCn0kpf2X1fgtFXCgPStEpRgl6Ov0Wwfq65wgq33+IoLtDvfYLIcT1BM3afoagSvxJYDw8vZYgSe4QJKNvV+LUvyiBUnSK2wlySbdLKbdJKa8mmF5/iqAAdH7zt08QiNefEfR/ermUcjPBtH69mvrLUsofkVJ+o2O/gaLjKIFSdJJfnC8oYXlDvW7rKiFEvXNBvT/VX0kpa/OuPwz8GkG5QdTN/BRdiJrFU3QKl5cq1uczvw/UCEEl9gsExY6fEUJ8GPhOvWmclPLLLN5PStGHKIFSdIpz9SZ4C5j/s/r/428QiNCrCYpQi0KI7xD0p/qKlHLgFs0OKirEU3SKlXpAQbjANqx3upagir1AkFR/C0Fu6qAQ4r6wV7miz1ECpehKpJT7pZQ/RrCM5vUEXT/vI1jq8lrgW0KIlvtfKXqDgQ7xhBD/DCClbKVNiWIVCNvG7AG2Sinruaf7wq/fFUK8hqCrwxaCGqlF99FT9AeD7kHtvfDCC99KsDJdfa3C18c//vG/Ati0adO2xc7v27fvSP2PsW/fviNf+tKXHOAFwzDunZiY+IHrDxw48EA+n9cA/vzP//yLcf9+ffzVFQy6QCm6jEsuuYSLL74Y13X51V/9Vc6cOXP+nGVZfOITn6BYLJLNZrnmmh/or6foMwY6xFN0J5/4xCd4z3vewyOPPMItt9zC9u3byWQynDx5krm5OQzD4KMf/Shr166N21TFKqMEStF1XHjhhfzTP/0Tf/mXf8lDDz3EqVOn8H2fjRs3cuutt/IzP/MzXHTRRXGbqegAA71YWAjx7IUXXnjZV77ylbhNUSi6jVXrNd8MKgelUCi6FiVQCoWia1ECpVAouhYlUAqFomtRAqVQKLoWJVAKhaJrUQKlUCi6FiVQCoWia1GV5H1CuVzGshppuaRYTZLJJNlsNm4z+gYlUH3A+9//fj7zmc8wyKsCugVN03jf+97Hpz/96bhN6QvUUpceX+pSLpfJ5/NKnLoITdPOd1zoYdRSF0X7WJalxKnL8H1fhdsREVmIJ4TIEjS7fw9BR8QC8BjwSSnlYrt5tHKPHcAzwDCwR0p5NIpx+4mjR48yMjIStxkDx+zsLLt3747bjL4jEoEKe0PvI9iFwyYQkXXAbcBtQoi7pJQfWWaIRu6hAZ8lECfFEoyMjDA6Ohq3GQpFJEQV4n2KQJz2A3ullFdLKXcBP0mwRfVdQohb2rzH+wl6UCsUigGhbYESQuwF7iTYbeO9UsoT9XNSys8BfxA+vKvNe/whUG7dUoVC0WtE4UH9BGAAD0kpn1vk/GfC4w1CiJ3NDi6E0IG/BnLAb7ZspUKh6DmiEKjrw+P9i52UUo4Bx8KHN7Yw/q8BNwD/G7XF0A+QTCbR9eDPaBgGyWQyZosGE/V3WB2iEKgLw+OhZa45Gh4vbmbgcPfY3wVOAx9o2rIBIJvN8su//MsYhsEv/dIv9XrtTc+i/g6rQxQCtTE8TixzzVR4XN/ooEKIBPA3QAr4OSnldGvm9T+f/OQncRyHT37yk3GbMtCov0P0RCFQ9Y+K6jLXVBZc2wgfBl4J/LWU8l9aMUyhUPQ2UQiU28S1DZU8CyGuJhCoMeCDrRilUCh6nygEqhge08tckwmPK5YJCCFSBLN2JvCzUsqZ9sxTKBS9ShQCNRke1y1zTT33dLaB8T4KXA58NqolMgqFojeJYqnL88BFwO5lrqmfO9jAeD8aHv+tEOLfLnPdESEEwEeklHc1MK5CESnlk6eZ2f80rLBYO7tjK6Mvv6JDVvUXUQjUw8DbeKke6vsQQmwH6gWaDzYw3veAk0ucSwHXhN8/CtSA4w1bqlBEyHMf+SPmnpP4nrfsdeZQnmv/+r+R2bKpQ5b1D1EI1D8AvwfcJIQQUkq54Pz7wuO9jXQfkFK+a6lzQojdwJHw4btUNwNFXDjlMuVjJ6meOYuRW3py2qtU0RIJigcPKYFqgbZzUFLKF4DPEyx3+UchRL1wEyHEncCHwocfW/hcIcReIcQlQogt7dqhUHSS8tETeLaFZuhktmxa8svIZfFqFqWjytFvhaj6QX0AuCL8OiCEeBpYA+wKz39YSvmtRZ63L7zmr4GfjsgWhWLVKR05jlez0FdY0qKnkoFAHVYC1QqRtFuRUk4R5KA+QpAIv5RgVu9e4J1Syt+P4j4KRbdQOnIc17LQU8sLlJFM4tVqyoNqkcg6akopSwQtVe5q4jm7m7zHUbqkV7JisCkePopXs0jkc8tep6eSeJZN9fRZnHKZhFqj1xSqJ7lC0SS+51E6HIZ4qdSy12qGgWYYeLZF6YjyoppFCZRC0STV8QmcUgnfddGT5orX68kkbs2idPjYitcqvh+1L14PUbJrPD01htfkLi67h9ezNac2UoiK0uFjYYLcRNNWzji8lChXAtUsSqB6iD954pvcM3awaYFan87zudt+hkxCNVGLgtLhY7i12orhXR09lcSZK1A8dHR1DetDlED1CJbr8PjECU6VZjF1nUbnCizXQdc0njt3mldu3LXyExQrUk+Qr1RiUMdIJbHCWijf89B0lVlpFCVQPYKcHqdgBy23tufWNBRaAIyX56g4NvsnTyqBioggxKuRGMo3dL1mmvieh1uuUBk7Q3bH1lW2sH9QUt4jPDl5koptk0k0lveok0kkKTsWT04utbxR0QxOqUz19DieZWOsUANVR9M09FQ9UX50dQ3sM5RA9QhPTB6n7Fhkm8wjZRMmFcfmhZmzzFnLNT1VNELp8DE8yz5fPtAoer1gU5UaNIUSqB6gZNc4cO4MlRYEKqEbmLpBxbHYP3Fi5ScolqV05FhDFeQLqc/kqUR5cyiB6gH2T5yg7NgYuo6pN/6pXScbhnmPTahp7nYpni8xaE6gjFRKlRq0gBKoHuDRs8coOTVyLZYJ5BJJSrbFo2eP4zdZoqD4fs4vEm7Wg0om8SyL2sQkdqG48hMUgBKorsf3fR49e5yS3Xx4VyedMLE9l4lygSNzkys/QbEovueFAlVrOEFeRzN0tEQCz7JVHqoJlEB1OUfmJhkvz2F7bsuFlrqmkU2YlJwaj4wfjdbAAaJ6ehy3XA5qmcyVl7gsRE8lcS2L0hEV5jWKEqgu5+Hxo5ScGtlEEr2J8oKF5BIpSrbFw+NHVr5YsSiloyfwrCD/1EypR51gJs+ifFRNVjSKEqgu57tnDlOya+TM9pap5MwgUX5gepzpaiki6waL0tHj59fgtULQekV112wGJVBdzFS1iJwep+zY5BKNrftaioRukNQNSnaNh1WY1xLloydwa3bTCfI6dQ+qdPSkmqxoECVQXcx3zxyh7FikjASJCNZv5c0UJbvGQ2cOR2Dd4FE6dvJ8iNcKetLEdxycYhFr6lzE1vUnSqC6mAdPH6Jo18ib7XlPdXJmipJj8cTEcSqOFcmYg4LnOFTGTocC1VqIp2kaWtIMZvJUHqohlEB1KQWryv7Jk0H+KaI2KUndQNc0CpaazWuW6ulxvGoNfB8t0foa+3o9VPn4WITW9S9KoLqUh8ePULRrQe7IiKbphKZp5BMpinaVB04fimTMQaF8YgzPbn0Gr44eelCVE0qgGkEJVJdy/6kXKVrVyMK7OnkzRdEOPKiqY0c6dj9TPj6GV7NbDu/q6KYZeFAnTkVkWX+jBKoLKdk1Hps4TtGxIheolJEANGZrFR47qwoGG6VyYgzPjkCgksEuL2XlQTWEEqgu5LtnjlCwqiQ0LRSU6NA0jSEzCPO+c+rFSMfuZyqnzuBZNnoLFeTz0ZMmvm1jT8/glMoRWde/KIHqQu4dO0jBqpI306syft5MUbBrPDx+hIoK8xqicvJ0sNV5mx6UpuvhNlQOlZOnI7Kuf1EC1WUUrGoQ3tk1hiIO7+qkjAR6GOY9opa+rIhdKGLPzuHbTtseFBCUGtg2lTElUCuhBKrLuO/UixStGmaEs3cL0TSNfDJFwa5y79jBVblHP1E9NY5nO0EXzQgKZnUzFKjTZyKwrr9RAtVl3Dt2kIId/ezdQobMNEW7xvfOHqNo11b1Xr1O5fQZPNtuO7yro5sJfNuhekoJ1EoogeoiJitFnpoaC8K75Orkn+qkjASGpjNXq/KASpYvS/X0OL5to7dRoDkf7bwHNR7JeP2MEqgu4t5TL1C0q6SMREutfZtlyAzCvLtVmLcs1dNn8SLKP0HgQXmWTfXMRCTj9TNKoLqIu09KClaVoVWavVvIUDII856cPMlkRbWhXYrqeCBQmhmNB6UngkXD1tQ5PEvNoi6HEqgu4VhhihdmgtYqqzV7txBTN0gZCYp2lXuUF7Uk1TNn8Z32a6DOYwRvO99xqY4rL2o5lEB1CfecPEjBqpFNmBgd3Bp72EwzZ1W5e0x27J69hO951CamAg8qqhyUpgUzeY5D7awSqOVQAtUFeL7H3WOSgt258K5O3kyd39jz6NxUR+/dC1jnpvFsGzwPLRFdXlBLJPBtW3lQK6AEqgt4duo0J4szWK5DrkPhXR1D18kmkhStGvtOHujovXuB6vgEfug9tdPFYCGamQg9KLXLznIogeoC9p08EC5tSbW1MUKrDCfTzNkV7jl5EM/3On7/bqY2MYXnRJcgr6Mnglqo2oQSqOVQAhUzNdfhvlMvBuHdKtc+LUU2kcR2XU6XZ3hyUq2yn0/t7CS+40RWA1Wn7kFVz6qwejmUQMXMw2eOcK5awvd9MkZEs0RNomsaQ8kgWa7CvO8n6gR5HT1h4DvKg1oJJVAxs+/kgfPeU5Q5jmYZMtMUrKCqXPUrf4naxNTqeFCJBJ4d1EKpHV6WRglUjEzXynxv/CgFq8pwh2fvFpI2EmhoTNfKPHha7fpSpzYxie+4kc7gQSBQeB5uzcKemYt07H5CCVSM3Dt2kKJdI2msXueCRtHCMK9gVfm2CvPOU5s8typJck3T0AwV5q2EEqgY2XfiAHMdXNqyEsNhh4PHJ06opS+AZ9nYM7OrEuJBvRbKoTap9shbCiVQMXGsMIWcGafsWF0jUGboyRWtKveoynJqU+fwXTd4sArV/VoimMmzJtVM3lIogYqJfScOULRqZBPJji5tWYlhM82cXeVbJw4MfPL2fA1UxEWadXTTwHdcahNKoJaie94ZA4Tne9x98iBzdoXhmGqfliKfDJa+HJ6b5PDcYOdGggT56oR3EIZ4jqMEahmUQMXAk5NjnC7PYLsu2Yh2DY4KQ9PJJZIUrCr7Tgx2srx2dhLfjn4Gr049xFMCtTRKoGJg38mXkuNxLG1ZiXrR5j1jB3G9wV36slrLXOqcX+6iclBLogSqw1QcmwdPH6Jg1RhKdnZhcKPkEklc32O8PMf+yRNxmxMbq7XMpc75BcMTU/gD/EGwHEqgOszD40eYrgYbNqZjWtqyEpqmhXvnVfn2ycGdzatNTK7KMpc6mmGA5+HZNta56VW5R6+jBKrDfPvEAebsKsPJVKxLW1ZiuL705fShgVz64vs+1fHQg1qlEE/TtPO1UKov1OIogeogM7Uyj549RrGLijOXIhUufZmplXnozOBt7ukUS7jlMr6zeh4UhBsoOI7aQGEJlEB1kPtOvUjRXt1NOaNi/tKXuwcwzKueORskyCParHMpNNPEt23V+ncJlEB1kHvGwl1buqz2aSmGzBRFu8ZjZ48xUyvHbU5HqZ45G3TSXKXwro4edjWonj67qvfpVZRAdYgz5TmenTpNybE6tmtLuyTD/fmKdo37B2xzz+rpcTw7wp1clkAzQ4E6ozbxXAwlUB2i3rkgY5gkOrApZ1QMJdMDublnIFAd8KDCEE/tMrw4SqA6xHfGXqBgV8l3ae3TUgyZKUq2xbNTpzhbLsRtTseodMyDCrZBr01MqU08F0EJVAc4VpjihdmzVBybfKK3BCqhG6SNBEW7xndOvRC3OR2jcvIUvtUBgTJ00LTQizqzqvfqRZRAdYD7xoLZu05vyhkVQ2aaol0dGIFya1bYi7wDAlXfxNO2qYydXtV79SKRBdhCiCzwG8B7gD1AAXgM+KSU8mstjvlG4IPA9cAQcAr4BvBfpZQ9Mfft+z7fOfUCRavWdZ0LGiVnppioFpHT45wqzbI1NxK3SatKZew0nu2App3fpnw10ZMmnmVTOakEaiGRvPpCiBzwbeB3gAuAZ4EScBvwVSHE77Qw5m8D3wJ+KPzRs8Aa4OeA/UKId0Zg+qpzZG6Ko4Upqq5N3uyuzgWNktB1MoZJya5x3wB4UeXjJwPvKZnsSLW/bgYCVT6htvxaSFQfD58CXg3sB/ZKKa+WUu4CfhJwgLuEELc0OljoOX0kfPjrwCYp5dXAJuCTQBr430KI7RHZv2rcf/rF843pdK33wrs69bV59w1AuUHlxCm8moWe7MxaycCDsigfVwK1kLbfMUKIvcCdgAe8V0p5fvm7lPJzwB+ED+9qYthfD49/J6X8YymlG45XA34VeJ5ApH6qPetXF9/3ue/UCxTtas/UPi1F3gwa2b0wc5ZTpdm4zVlVysdP4lmdFKhk4EEdOznwXUwXEsVH+k8ABvCQlPK5Rc5/JjzeIITY2eCYDwD/DHx24QkppQ88HT7c1aStHeVY4RzHCueoug65Hg3v6hjzwrwH+tyLKh09EQpUZ/5mWtLEd12cUkk1r1tAFAJ1fXi8f7GTUsox4Fj48MZGBpRS/q6U8u1Sym8tPCeEMIBXhA+7OiHywOlDlMLZu14O7+rkw6UvD5w+FLcpq4ZnBbNpnmWjpzokUPWZvJpF6cjxjtyzV4jiXXNheFzuv/ZoeLy4nRuF4eT/AS4CzrCIh9VNPHj6EEW7Rr7Hw7s6OTNJ2bE4MH2GiUp/Fm2WT4zhVmtA2K+pQ+ipJJ5lUTpybOWLB4goBGpjeFxuOXbdb13fyg2EEL8vhDgEHAR+BHgIuFlK2bX+8OnSLC/OTlBxbHI9Vpy5FPWizZJj8VCf7j5cPHQUr1ZDT3VmBq+OnkwGHtShox27Zy8QhUBlw2N1mWsqC65tljcSlC/U7d3BS+UHXcmDZw5Tsmukjd4szlyKnJmiZNd48Ex/ClTp8DG8moWR6uyHip5K4tZqFJVAfR9RvHPcJq5tdYriPQSzdhcBv0tQbvBHQohPtDjeqvNQmH/q1dqnpcgnAoF6avIkc9Zyn0m9SfHFI7g1q2P5pzp6KoVXs6icOoNTrqz8hAEhCoGq75G9XJl0Jjy21FRISnlESlmTUr4opfxt4N+Hp345zEt1FTO1Ms+eC1qr5Pok/1THNAwSukHJsfje+NG4zYkU3/MovngkDPE67EElDDTDwKvVKB1Weag6UQhUfXfHdctcU889RdKVS0r5NwTLXgzgdVGMGSWPjB+lbFskdQOzh1qrNEreTFKyazzUZ2FeZewMTrGI77odq4Gaj55K4lZrFF/or9e1HaJYi/c8Qei1e5lr6udWbCokhNCALQTr+R6SUi61H88xYCuwuVFDO8XD40cpObW+857q5BIpTpdneezscSzX6fr2xY1SOPgibjXwnuLY0MIIw7zCwf4t42iWKDyoh8Pj9YudDJej1As0H2xgvO3AGEFd1TXLXFcv0uyq9QGW6/D42eOU7Bq5Lts1OCpSRgIfmLMqPD11Km5zIqMgX8Sr1jDS8Xyw6OkUbrVKQfZ3IdTZvB4AACAASURBVGwzRCFQ/xAebxJCiEXOvy883iulPLrSYOFSmfqe27+w2DVCiHcTeE8WQXeDruHpqTHmrCDJmeoTz2IhmqaRSwRh3sPj/bPjS+FA6EHFJFBGOkyUnzyFXSiu/IQBoG2BklK+AHyeIB/0j0KIeuEmQog7gQ+FDz+28LlCiL1CiEuEEFsWnPpoePxpIcSHhRDmvOe8G/jL8OEfSim7qlfqI+NHw95P3b3vXbvkzBQlx+LR8aN9sX7Ms+xgBq9ajc2D0gwDLZHArVkUnh+sFstLEVWBzgcI1sddBhwQQjwhhDgKfI4gz/XhxZatAPsIclgfn/9DKeXfEZQTQCBsE0KIR4UQp4C/B/LA/6C5Bcirju/7fG/8KGXH6vm1dyuRTZjUXIeTpRnGSjNxm9M2hRcO4Vaq5zfTjAsjncKtVJlTAgVEJFBhRff1BC1SDgKXEszq3Qu8U0r5+y2M+dvAzcCXCEK5qwi8tC8Bb5JS/vwyCfRYGAvfrDXXIZvozm3No0LXgsXDZdvikT4oN5h77iButYqejtfzNTJpvGqVuWd7oh/jqhPZR4WUskTg0dzVxHN2r3D+HuCe1q3qLN8bP0bZtsgY/bE4eCWy4dq8x84e44f3vmLlJ3Qxc88cwK1UMTLxdj010mmsqWnmDryI5zjoMXpz3UD/v4s6yGMTxyg5Ftk+D+/q5BJJSo7F01NjVJze3ZHE9zxmn+0OgdKSJr7v4xSLal0eSqAio+Y6PD05RtmxyPZpecFCTN1AR6No13h6qquqPZqifGIMe3oW33E6XkG+EE3TMDJp3EqV2aefj9WWbkAJVEQ8M3WKgl1DA5J9WD2+GC+VG1g8frZ3+xjNPvUcbqWCkUl3xcyrEqiXUAIVEY9PHDvvPXXDP3mnOJ+Hmujd9WOBQMUf3tUxMhnccoXZp5/D97pqHqjjKIGKiCcmTlC2Bye8q5NJmFRdmxOF6Z7cedj3PGaeeva8B9UN6KkkvudhzcxRfLF/CmFbQQlUBJyrljg8O0nVtQdOoAxNJ22YlB2LJyZ6L8wrHT2BNTmNZzvo6e4QqJfyUBVm9j8TtzmxogQqAp6YOEHFsUnqRl81p2uUbCII856YPLHyxV3GzP5ncLoo/1SnHuYpgVK0zf7JEwM1e7eQTCLwoJ6cPInn91bOZOaJp3HLFYxsZuWLO4iRreehnsezereEo12UQLWJ7/vsnzg52AJlmDiex1SlxNG5c3Gb0zCeZTPz5LO4pXLXCVS9H5VTKDL77IEVru5flEC1yanSLGcrc9ieQ7rPl7cshaZp3+dF9Qpzzx3AKQSJ/U7tgdcomqZhZDM45TLTjz0ZtzmxoQSqTZ6cPEnFsUkbJnoX5TA6TTaRpOJYPDXVOwJ17tEncUpBeNdN+ac6Ri6LW64w/ej+uE2JDSVQbfLkZBDeZQY0vKuTCWfynpocw+2R2p1zjzwRhHe5VjcbWl0S2QxupUrx0DFqE5MrP6EPUQLVBr7v8/RUfXnLYIZ3dVJGAs/3mbMqHJpbbovE7qA6PkHpyDHcapVEl+Wf6miGgZ5K4ZbLnHvkibjNiQUlUG1wvHiOyWoRx/NIGYMtUC/loWye6oE81LlHHsctV4L+4x3cQbhZErkMTqnM1MOPx21KLCiBaoOnJ8eoONbA55/qZMI81JOT3b9weOq7j+GUyiTy3Rne1TFyOdxSmZnHn8Kt9N8+hCuhBKoNngrbjGQGPLyrk0mYVByb586d6uo8lFMuM/PE0zjFEokuzT/V0ZMmaBp2ocj0E0/FbU7HUQLVIr7v88zUKSqOPfD5pzopPYHne8xZ1a7OQ5175AmcYinI8XRZecFCNE0jkc/hFEtMPfi9uM3pOEqgWmSsNMNktYjtuQOff6pTz0NVHJtnung7qqkHHgm8p3wublMaIpHLBgL13cfwHCduczqKEqgWeWbqFFXHJm0kVP5pHvU81LNdKlButca5Rx7vKYHSM2nwPKzJc8w++Wzc5nQUJVAt8sy5ILwb1OrxpUgbJhXX5plzp7pyO6rpR/djzcwBQVuTXkDTNIx84EVN3PfduM3pKEqgWuS5qVNU3GCDBMVLpI0EjucxXStzsjgdtzk/wMS9D+IUiiSGcl1ZPb4UiXweu1Bk8v6HByrMUwLVAlPVIqdKs9RcR83gLUDTNNJGgqpj8+y503Gb83045UpQXlAoksjn4zanKYx5Yd7ME0/HbU7HUALVAs+fO0PVtUnpiYHYXqpZ0ufLDbpLoKYeehR7dg50vWfCuzr12Ty7UOTs3Q/EbU7HUO+uFnju3GmVf1qGjBG0AX5+ursEauLu+7DniphD+Z4K7+okhvI4YZjnlCtxm9MRlEC1wPPTp6m6QQcDxQ+SDgXqRHGa2Vp3vJGsczNB94JikcRQb4V3dfR0KijanJll6qHBqIlSAtUklutwaHaCqmOrBPkSGLpOUjeoOQ5yZjxucwA4e/f9OIUietI83wyu19A0DXMojz1XYPyb98ZtTkdQAtUkh2YnKTt2kBMYwP7jjVL3og5Mn4nbFHzf58y/3o09V8AcHorbnLZIDOdxCiVmHn+K6tn+b8Gi3mFNcmD6zPkCzV7MY3SKtGFSdbpDoIoHD1M6dBS3XOmZ4syl0E0TI53CLhQZ/+Y9cZuz6iiBapKDM+Mq/9QAqUSCqutwcGY89o0Uznx9H/ZcgUQ+19WtVRolMZzHmSsw/o17+n5jTyVQTVIXKLX+bnlSegI3XDh8ujQXmx1OucLZu+/Hnpvr+fCuTiKfw61ZlI+P9X1NlBKoJihYVcZKM9Rch7SRiNucrkbTNFJGIvZE+cS9D2JNTQNasKatD9B0PUiWz85x+qvfitucVUUJVBMcmp3Acl1MbTA36GyWlJGg6tocmj0by/193+f0V76JPTuHOTLUVznDxMgw9lyByQceoTbZO1t9NYt6lzXBi7Nnqbk2KeU9NUTKSFBzHV6Yiac3VPHgIQrPv4BTKvdNeFfHSCXRk0nsuQJnvv7tuM1ZNZRANcHh2UlqrqMEqkHSoUAdnpuIpbPBqX/5BvbsXN8kxxdijg5jzwRhXr8uIFYC1QSH55RANUNST+D6LgWrynil0NF723OFMDlewBwZ7ui9O0Uil8O3bSqnznDuu4/Fbc6qoASqQSzX4URxGksJVMNomkZSD72o2c6GeWe+/m3s6dmgrW861dF7dwpN10gMD2HPzDL2pa/Hbc6qoASqQU6G4gRgqA4GDZM0Eliuy/FC5xK5vudx+l++gT0zhzky3FfJ8YWYI8M4hSIzTzxN6cjxuM2JHPVOa5Ajc1Pnw7t+/oePmqRuYHkOxzooUFPffZTy8TFcq0ZiqLcrx1dCNxMYuSz23Byn/rn/vCglUA1yojiN5bkkVXjXFPWZvE56UKe++DWsmVnM4WG0ASgHSY4EyfLxb30Hu1CM25xI6f+/XkTU80+m3n+zQauJqRvYnstYaaYjS15KR44z/fjTOIVi3ybHF6Jn0miGjnVumjNf2xe3OZGiBKpBxorT2J5LUglUU5i6ged7VByLs5XV/3Qf++LXsOfmMHJZdHMwvF1N0zBHRrBnZjn15X/Fd924TYoMJVAN4Pkep0uzQYinD8Y/fVRomnbeizpdml3Ve9lzBcb33Ys9M0dydGRV79VtJIbyuJZN5cQpph56NG5zIkMJVANMVUtUXQfP91QPqBYwdQPbXX2BOvO1fWFpgd63pQVLoeka5vAQ1swsY1/8WtzmRIZ6tzXAmdIcjheswVMzeM1j6gaW53K6vHoC5bsup778r9gzs5ijIwP5dzJHw5KD/U9TPHwsbnMiQQlUA5ytFLA9VyXIWyShGziey8QqVpNPPfQolZOncS2757aUigo9kSCRy2LPFvqm5EAJVANMVAo4ngrvWiWh6zi+t6oCdeqfvx6WFgyh6YPnPdUxR4exZ+c4u+++vig5UO+4BpislnB8l4TyoFrC1Awcz2OyUlqV8UvHTjD9xGCVFiyFnn6p5GD8G/fEbU7bKIFqgOlqCcfz1BKXFjF0Hcdzma6VV6WrwemvfBN7roCRzQxMacFSBCUHgRd1+ivf7PmWwOod1wDTtTKumsFrGUPT8Xwfy3Mo2LVIx3YrVca/ee/5dXeKsOSgWqN09Dgz+5+J25y2UO+4Bpi1KsqDagNd09A1Dc/zmbOi3chz4jsPYU0Fy2iMbCbSsXuVl1oCF3q+sly94xpgzqri+R7GAE5dR4Wu6ec3UYiSM1/fhz0b7Hc3iKUFS5EYGcIJWwLbs/FtWtEuSqBWwPM9SnYN1/fRlQfVMoam4foehQgFqnz8JLNPH8AplkgMD2ZpwVIYqRRaIoE9O8f4vvviNqdl1DtuBSqOjU/QgF9Xn9Ato2sanu9TdqzIxhz/5r04hWKQHE8MdnJ8McyRoaCz6Ld6d5t09VddgYpj4/kemgZRylNttrMtcFshNRLdRgN6mCivOHYk4/mex9lv349dKAzcurtGSeRz1CamKBw8ROnIcXJ7dsZtUtMogVqBqmvj+6ChRZrj+PZPfjiysVaLN3/pzyIbS9c0fHxqbjTN/Wefeo7KqTN4lo2R6++mdK2iGQZGNotTKDK+7ztc8O/vjNukplEh3gpYrouHrxKwbaIBvg+2F41ATdz7IE6hGOzYMsCV4ythDuexC0Umv/NQLDvrtIsSqBVwfBcfP9LwbhDRQg/K8trvVeR7HpMPfi9IjueV97QcRjaDV7OojJ2mePBw3OY0TWQhnhAiC/wG8B5gD1AAHgM+KaVsqf+DEOJVwK8ArwM2AxXgOeDvgM9IKaPLuC6B6/ngQ7QZqMGkPtnQLrPPHKB2dhLPcVTt0wpouk4il8Uplpi8/7sMib1xm9QUkQiUECIH7ANeDdjAM8A64DbgNiHEXVLKjzQ55q8A/5XAy6sAzwPrgevCrx8XQtwmpVzVIg8/UKfI5ekNf/N7EY/YA/g+XgQCde7hx3BKJRK5rAq9G8DI53BmC0w9/Dh7/t174zanKaLyoD5FIE77gbdJKU8ACCF+AvgscJcQ4gEp5bcaGUwIcQPwCQJd+C/Ab0spa+G5m4H/Hd7vvwM/FtHvsCxRR+9RzpANGue+tx+3VCGhXsOGSGQz1MYnKB05RvXsJOmN6+M2qWHazkEJIfYCdwIe8N66OAFIKT8H/EH48K4mhv11AnH6spTyQ3VxCse8G/ip8OF7hBA72jB/RRK6HrpPvZdg7DY0TcNocz1j9ewkpSPHcKtVEiq8awjNMNBTKdxyhenvPRG3OU0RRZL8JwADeEhK+dwi5z8THm8QQjRaiHFzePy7Jc7vI8hxAVzT4JgtYWg6GpqSpzapR3btrmecffIZ3EoVPZVEM1T7m0ZJZDO45QozTz4btylNEYVAXR8e71/spJRyDKj3H71xpcGEEDrwo8DPAUvV6M9PPKzqf6mpG+EUuZKodvDDUo12u5LOPn0At1LFyKQjsmwwMDJp3EqV2WcO9NT/chQ5qAvD46FlrjkK7AIuXmkwKaUHrNSv9E1APQGxqh8JKSMRFhkq2sH3fXQ00m1ufDr7zPO4lSrJtap6vBn0dArPtqlNTFI9PU5m6+a4TWqIKDyojeFxYplrpsJj29k5IUSeYHYP4FEp5fPtjrkcacMMQjzf76lPnm6jXuyaakOgnGKJyslTeLUaRlp5UM2g6Tp6KolbrVE4uJwv0V1EIVDZ8LjcMvV6E6DsMtesiBAiCfxfQAAu8MF2xmuErJkMprI1IpkiH1Q838fQNHJm69tBFQ8fw7NsNMNQ+acW0FNJvFqNUg/t+BKFQDVTGtzyO1wIkQH+CXhz+KPfkFI+0Op4jWLqBmkjEXSFVIFey3i+h65p5NsQqNKho7i1GnoqGaFlg4ORSuHVLIqHjsZtSsNEIVD1rSOW87nr88HlVm4ghNgIfBt4S/ijj0op/+syT4mUvJlG1zTcHu/vHCf1flrtCFT5xBieZaMnlUC1gp5MBsteTp6K25SGiSJJPgmsIagcX4p67ulss4MLIS4FvgrsJvDAfk1K+Ylmx2mH4VQaI+wIqWge3/dxPY+EpjOSar12qXp6HN+2MbJtZQq+jxkr2h7pq8FoMppdkjUzgWc7VM9O4tk2umlGMu5qEoVAPQ9cRCAgS1E/d7CZgYUQNxGEdaMEOa6fkFJ+oWkL22Q0mVUC1QaeHyTINU1jONm6QFVOn8WzbcwId255+z3/HNlYq8W9t70rknGCvJ2Pb9tUxyfJbt8SybirSRQh3sPh8frFTgohtgP1As0HGx1UCHEjgec0SjAL+IY4xAlgTTobbD6pQryWcPxgw4nhZLqtOijr3Dl8x0Ub8K2lWkXTNLREAs9xsM5Nx21OQ0QhUP8QHm8SQohFzr8vPN4rpTzayIBCiD3AlwhyVyeBG6SUD7VraKtsSOeD7buVB9USjueS0HXWZ1rvG+5Wqng1C9911QxeG2iGge96OHPd39EVIhAoKeULwOcJKrr/UQhRL9xECHEn8KHw4ccWPlcIsVcIcYkQYqGv+T+BEYLyhDuklLJdO9thXSZPQgs2n1Q0T33b+HWp1ns32XMFfNcj6L2sOhi0imbo+K6LNdMbO71E5St/ALgi/DoghHiaIHG+Kzz/4SU6GewLr/lr4KcBhBDXAG8Iz5eBTy/umJ3n91rtN9UomzJDmLqBrUK8lrB9F1M32JRtfWNNt1IJdsnV9UhbrHzpprdFNlYvoOk6eB5uJdr9CVeLSARKSjklhLieoAvBu4FLCfpC3Qv8mZTyH5sYbv56vXXADStcv6kZW1thU3YYUzdwPBffV+1/m8XxXDKJZFsC5dkOrMJrH9UMWc+ghasinGhaL682kWUbpZQlgpYqdzXxnN2L/OxPgD+Jyq4o2JwdJqHr+AT1PAklUE1huS7DSYMtbQiUb9svtURQtIymaUHjQCua3XVWG9WTvAGSRoKN2XqYp/JQzeD7PrYXhHjbh9a0PtD5vlyKdqhLvNZmX65O0RtWdgHbcmtI6gZWRLuSDAquHzRNNnWDLdnWOxDophkkx5UX1R5hmKwnu79IE5RANczOoTUkjQSWqzyoZrA8h6RhsDU3SrKNTgZ60gx2hlEC1R6+D5qG1gNV5KAEqmF2Da0LBUp5UM1guQ5JPcGu4eVWQq2Mkc2CboDnKZFqA9/10AyDRC665UKriRKoBtk1tI6UYVDzHPUGaYKa65AyEuweWtvWOObIULBBp6aBKvdomXqhqznS+oRFJ1EC1SB7hteRMkw831dr8pqgLlB7Rza0NY6eSJAYygeV0I4Ks1vlvECNKoHqK9IJkx35NaSMBDUV5jWE5/tYXjQCBZBav/b8WjJF89Trn7REgtT69kLuTqEEqgkuGt1I2jCpKoFqCMt1SOgGa1I5Nmba38MuvWUTumni2b1Rw9Nt+LaDZhgY6STJdW2UfHQQJVBNcMmazaQTCaqOeoM0QsW1SRsml6zZFEkFeHrzJnQzgW+rD4hW8GwbzUyQ3rK5Z1ZDKIFqgkvXbA49KFslyhugGgqUWBPNDiK5XduDvtqWFcl4g4ZnWejJJNkdW+M2pWGUQDXB7uF1DCWD9r81VbC5LL7vU3FsMgmTy9dG84bIXbAr2JmkZqkPiBbwahZGKkV+7+64TWkYJVBNoGs6L1u7lUwiSUWFectih/VK2USSi9dEs547t3sneioFvq9m8lrAq1noqSS5PbtWvrhLUALVJFes20omYSqBWoGKa5EJxamdvfDmoydN8nt2YaRTuNXldjlTLMR33aAPeSrF0Est27oeJVBN8vINO8gmklQcFWYsR9mxyCaSvGLDjkjHHb5cYKTTeEqgmsKtBtt1ZbdvIbl2NG5zGkYJVJNcOLKB0VSwiYIqN1icev4pa5q8Yn3EAnWZwMikcStKoJrBrVQx0mmGX7Zs88euQwlUk+iazsvX7yBrJik7ajZpMWqug0awg4uIKP9UZ/Sqy9EzaTzLxlN5qIZxyxWMbIbRq14WtylNoQSqBa7dtItcIkXJ7v491eKg5FjkzCRXb9hJoo1dXBYjuWaEoQv3BF5UuaV9YAcO33HxLAsjk2H06qviNqcplEC1wLUbd5FJmFieqzZSWISSXSOXSPKqTbtXZfw1r7wKI5vFLfdGX+24ccpljEya/IW7SfVIBXkdJVAtsCad49K1m8kmkpRsFebNx/ZcLM8la6a4dpUEau2rX0kin8UpldVERQM4pTKJXI51r35l3KY0jRKoFrl+8wXkzRRFR4V586l7Ty9bu4U1qdXpOTR82cWkNqxHTySUF7UCvufhlsok8lnWvebauM1pGiVQLfKaLXvJmUG5gav6E52naNfImymu37J31e6h6TrrX3MtiXwOp1hatfv0A265gp5Kkt66mfxFF8RtTtMogWqR7fk17B3ZQCaRVF5UiOO5VF2HnJnidVtWtxhw/euvJzGUxymWVJi3DHahSGIoz4bXXd8zC4TnowSqDV639SLyZpqipQQKAu8pm0hy2dotbMy2315lOUavehnpzRvRTRO3pGbzFsN3g/DOzOfZ+MbXxW1OSyiBaoMbt15E3kxRcW01mwcU7CrDyTSv33bRqt9L03U23HQDieE8dqG46vfrRZxiCSOTJrd3N7kLemf93XyUQLXB1vwol63dTC6RpDDgNVGW62C5LnkzxY3bLu7IPTffdhPmUB63VFFFm4tgzxUwh4fYdMvrezK8AyVQbXPzNsFQMk3BGuylF4UwOX71xp2rNnu3kNyenQxfejGJXAanUOjIPXsFr2bhWRbmyDCbbr0pbnNaRglUm9y47WKGkxkc3xvYXuW+7zNnVRhOZrh1x6UdvffmN72BxMgw9mxBJcvnYc/NYQ4Pse76a0iuaX3D1LhRAtUmI6kM123ew5CZYs4azJqcimOjaRrr0jmu29zZqewNN7/2fHW0WxnM138hvudhzxUxR4bZ/JZb4janLZRARcCtOy5lOJmhYNXwBvBTfNYOvKebtl8cWe+nRklkM2y69SbM0WHsmbmO3rtbcQpFjHSK3O4drLn6yrjNaQslUBFwzcZdbM2NYhrGwC0gdj2Pkm0xnEzzpp3xrJTf+rbbMYeHcCvVgd/xxfd97Jk5zNERtrz1djS9t9/ivW19l2DoOrftvJThZJrZAUuWz9lVsokkYnQTF45ujMWG7I5trL32FZhD+YH3otxyBd/3Sa1fy+bbborbnLZRAhURt+98GSPJDDXXxhqQZLnv+8xaFUZSGd686/JYbdn2w3dgrhnBnivgu4NbcmDPzJIcHWHzm95IIp+L25y2UQIVERuzQ7xq026GkmlmByRZXnFt8GFdOsfN2ztT+7QUa155FfkLL8DIZLDnBrPkwK3VcKs1zNFhtr3jzXGbEwlKoCLkjt1XMJLKMGdVByJZPlsLvKc3bL+ETCIZqy2aprH9nT9Ecu0o9vQsvtf/r/9C7OnAe9rw+utJb44n3I4aJVAR8sqNO9mZX0vKSFCw+zsX5XguJSdIjr91zxVxmwPAxje8luz2rehJc+AKNz3bximWMEeH2f7ut8dtTmQogYoQXdO5Y/fljKayzNYqfV04OGtVGDJTXLV+B7uG1sVtDgC6aYa5qFGs6dm+fv0XYk/PYg4PseaalzPUg21VlkIJVMTctvNljKayuL7Xt7u+eL7PrFVlJJXlbXu6q85m85vfSHrzRjRdG5heUZ7jYBeKmGtH2fmed8RtTqQogYqY4WSam7dfzEgyw4zVn21AinYNUzfYlhvl+g5Xjq9EIpth2795C8m1a7DPzQyEF2XPzJLI5xi98jJGrop3NjVqlECtAm/fcxXDqQwl2+q7Niy+7zNTKzOaynDH7ssxurAQcNvb30xqwzrA7/teUb7rYs8WSK4dZcd7frhnuxYsRff9d/UBF4xs4OXrdzBkpvqu5KDqOji+x5pUjjft6s491hL5HNve8RbMtWuw+tyLsqZnSeSyDF9yMWtf9Yq4zYkcJVCrxNv3XMlIKstsn5UczFhlRpMZbt5+MaMdaqvSCtv+zVtIb1gXbBrQpxsrBN7THMm1a9h55zv7znsCJVCrxnWbL2B7fhRTNyj2ScmB47nBurtUhrft6e4NIM2RYba89XaSa0expqb70ouyZuZIZLMMib2su+6auM1ZFZRArRKGrvPW3VeyJpVlpk9KDl4qLdjO3pENcZuzItvf+VZS69fie27feVG+6wbLWtaNsvPH39nzi4KXoj9/qy7h9l3zSw56e5X9/NKCt3e591QnuWaELT90O8m1a7DO9ZcXZc/MkchmyF+0l/WvfXXc5qwaSqBWkeFkmjdsF4yEXlQvU7SrXVtasBw73vW2wIty+8eL8l0Pa2Y2yD39+A/3rfcESqBWnbftuZKRZJqS07slB0FpQYXRVJYf2nNFV5YWLEVy7Shb7riN5Jr+mdGzZ2dD7+kCNrz++rjNWVV65z+tR7lgZANXhSUHMz1acvBSaUE2tqZ07bD9XW8juX4NvuPgVnp7wsL3PKzpuvfUv7mnOv3923UJ9ZKDXu1yMGtVGAlLC0ZSmbjNaZrUujVsecstwYzeuem4zWkLe2YOI5Mhd8EuNtzY394TKIHqCNdtvoBtuXrJQW+1BHY8j6JdYySV4a27u2vdXTPsePfbSa5dg287PZuL8r167mmUne/tf+8JlEB1BEPXecvuyxlJZnqusnzOqpAzk1y+dmtsLX2jILV+HZvf9AaSa0awpmfiNqcl7NkCRipFbs8uNt50Q9zmdAQlUB3iTTsvYzSVwfZcaj1SclBv6TuazHLH7u7o+dQOO370HZhrRvFqFm61t3JRvudjT88Ea+5+9O1ohhG3SR1BCVSHWJPO8dqtFwYbK9R6481Rcix0TWdTdojXbb0wbnPaJr1pA5tueT3mmhGsc73lRTmFAnoySXbHNjbd8vq4zekYSqA6yB27rmAkmaFgV/F8L25zVqSeHL9152UkO7zf3Wqx9fUOxwAAIABJREFU491vJzk6EmxRVbPiNqchfN/Hmp7BXDvK9ne9Fd004zapYyiB6iCXr9vKnuH1pBMmBau7k+W251JxbIaSad7cg6UFS5HduZ31r7sOc3S4Z3JRTrGEputkNm9k85veGLc5HUUJVAfRNI037+qNZPlcuO7ulRt3sjU/Grc5kbL9XW8jOTKCUyrjOd3d9dT3/WAzhDWjbH37mzHSqbhN6ihKoDrMG3dcwkgqg9PF6/N832fOqjKSyvRkYeZKDF9yEaOvuIJEPo89Mxu3OcviVqr4rkty3Rq2vvW2uM3pOEqgOsxwMs1rtwTJ8rku3YW4HCbHN2aGuG7znrjNWRW2/8hbSa4ZwZ4t4Hvdmw+0Z2Yx1wQbcZojw3Gb03GUQMXA7TsvYziZodClleWzVjVc6HxJ3yTHF7L2Va8gt2cnRjrdtRt9epaNW6mSHBlm69v7YyPOZonsv08IkQV+A3gPsAcoAI8Bn5RSfi2ie/xdOP5FUsoXoxgzDq5cv40d+TWMl+co2jWGk+m4TTqP43mUHYuN2SFu23lZ3OasGpqus+0db6bwwmFqZycxR4a7riOlPRNsJbX2umvIbt8StzmxEIkHJYTIAd8Gfge4AHgWKAG3AV8VQvxOBPd4H4E49Ty6pvPGHZec96K6iYJdJZtIcumazewe7o797laLjbfcGG6uQNctf/E9L9hKqo+2MW+FqEK8TwGvBvYDe6WUV0spdwE/CTjAXUKIW1odXAjxQeDTkVjaJdyy41KGzBQV18buojYshTC8u3XHpXGbsuokshk233oj5ugw9uxc3OZ8H06hiJFOk9uzi9FX9H4Vf6u0LVBCiL3AnYAHvFdKeaJ+Tkr5OeAPwod3tTD2FiHEF4BPAN3lf7fJ5uwwV67fTt5MdY0XVQvbqgwnM9y47eK4zekIW+64FXN4CLdcwbO7o+TA933smTnM0SG23HFr14WenSQKD+onAAN4SEr53CLnPxMebxBC7Gx0UCHEvwFeAN4JTAO/2K6h3cYtOy5hKJmmYNe6opFawaqSN1O8evMehrooL7aaZHduZ/TlV5AYyuN0SbLcq9XwPY/k6Cibbr0xbnNiJQqBqjeluX+xk1LKMeBY+LCZV/sqIAv8LXAZ8NVWDexWbtiyl5FkBtf3sLx4P71936dgh7N3A+I91dn8pjdgDg9hzxW64oPCniuQGM4HFe9D+bjNiZUoBKq+ivTQMtccDY/N/Od/B7hKSnmnlPJMK4Z1Ozkzxas27WbITDEX89KXimujaRrr0nmu3bQ7Vls6zfrXvprk+rWgabF33PQ9D6dQwhweYvPtN8VqSzcQhUDVmwRNLHPNVHhc3+igUspvSymfbtmqHuHm7YKhZJqiXY3107to1Rgy09ywZW/f1j4thZFKsvHG12AOD+EUirHa4pTKQdeC7VsZubL/qvibJQqBqm8vu9xHT30Ot3u3oo2JazfuYk0qB2ixLX2ph3f5ZGpgkuML2fjG1wd5qGIp1spyp1DEHMqz8Q2vG4iOmSsRxSvQzBx5/AF+l5E0ErxmywUMJVMUYmoHXHYsErrBpswwV67bFosNcTN82cVktm1GTyZxS+VYbKhvjZUYyrHh5sHomLkSUQhU3Sdebtqn3mk/nr98l/P6rRcxZKYpxjSbV7RrDJkpbtiyt6e2lIoSTdfZcONrSAzlcIqlWGxwSmWMTIb83t3kdu2IxYZuI4r/xsnwuFzZcT33dDaC+/UdL9+wg7XpHLqmUelwmOf7PkW7Rj6Z5vVbL+rovbuNDa+7jkQ+h1Ou4Hud/6BwiiUS+SzrX3tdx+/drUQhUM+Hx93LXFM/dzCC+/Udpm5w/eYLyJupju/6Ug/vNmaGeNm6wVzvVSd/8V4ymzehJ03ccmedfd/zgvAun2P96/p3K/NmiUKgHg6Pi27SJYTYDtQLNB+M4H59yQ1b9pI3U5Q6HOYVbYu8meI1Wy5A1wYzvKujaRrrbriWRC6H0+E8lFuuoKdSZLZvI6vCu/NE8R/5D+HxJiGEWOT8+8LjvVLKoxHcry95xYYdjKayBLN5nSna9H2fklMjb6a4YUvvb4oQBWtfdTWJXBa3XOnoB4VTKpPIZVl33dUDvbRlIW0LlJTyBeDzBMtd/lEIcf4/XQhxJ/Ch8OHHFj5XCLFXCHGJEGKwYwuC2bxXbdpN3kxS6lCYV3VtdE1jXTrHFeu2duSe3c7olS8jMZQH38ezOrOpgu/7uKFArX3V1R25Z68QlU//AeBpgiUpB4QQTwghjgKfI+g59WEp5bcWed4+ghzWxyOyo6cJ8lBpik5nBKoe3l27aTcJfTD2WVsJPWky+vLLMUIvqhN4VjAxkhjKM3J5/3eRaIZIBEpKOUWQg/oIQSL8UoJZvXuBd0opfz+K+/Q7127cTd5M4fo+1iqHeb7vU7Jr5P7/9s48SpKrutNfZkZGLtVVXV3VtXVX7+q+6pbUUkvWBgKkgw0cQHgGoxnAQpYQCM/YgG08AwybxOCR8QZmsbEP9sgDeLCM0WABtkEgvGDAsoQQi7lIoA0JsFaEuqsqt5g/3kt1KrsyKzIrsioz+37n1InKjIibLyNf/OK+++57L8jxlNndPf2sQWP80ClkigWqR9Zm2Et1YYFMscDGU/aTDo+fJaXikNiYBlU9jJtS5coOztnZwbF3MWRTrjRTzIYc3DzPfYcf5XCl1NMhJ6ValRoRY2Ge06djTzJxXDB+2skEhQJLP3qAKIp6HhOq996Nn3ZyTz9nEDm+u236kHNnd61JuoHznkJOm9pGIQh7+lmDxsjObYQT46SCgNpib3+HKIqoLiySKRQYP9UEqhkTqD7jrJldFIOQpWqFag/HhB2ulBjJ5jh7ZjhXbVkNqXSasQNCppCnutjbZl5UcrNIBBtGGNmzo6efNYiYQPUZ08VR9mycohBkOVzpTS9StVZjqVqhGIScdZxNrRKXsZO8QPV4+pXq4iKZQp6x/XtJB8fXLBJxMIHqQ86a2UkxCDnco968w5UShSDLnvEpNheO7wnRWjF2kpDJ53vexKsuLpHO5xnbf3zOIrESJlB9yJkzOxjJ5jhSLvUkWfBIZcl5T9M7E7c9LGzYs4t0PkdUi3q6PHptcYlMPseoWKLscphA9SEyPstErkgmnU58jiiXXuDiT2fOWMyjFZl8jpGd28jkcz3zoqJajVq5TDqXY8NeS/VYDhOoPiSTTnP69HbfzEs2DrVYrZBJpdmUKyLjs4naHjZG9+4mnQupLvVGoGpLJdLZgNzkJnKbJ3ryGYOOCVSfcsbUdkYC18xLkiOVEsVsyKGpbcft3E9xGdm9g3QupLbUm86KWqnkvKcTdvbE/jBgNbRPOWN6B4UgS6lWpZJgusGRSoliEHLGlCVnrsTI7p1kcrmeCVR1aYl0LmRklzW1W2EC1adM5EfYs3GKfCbLQkLNvMb0AsseX5mRXdtJh1miSqUn85TXlsqkQxOodphA9TGHprZRzIYcSUigFqpl8pmAHWOTTBVGE7E5zGRHNxBOTpDKZhOf2SDysyWkw5DijvlEbQ8TJlB9zKEpFyg/Ukkm3eBIuUQhCDm02SZEi0txxzyZXEhtKeHe1GoVooh0LqS47fhcqCIOJlB9zEkTc2zIhtSiiHKtk8Vzlqcefzptyp7YcSlu30o6DKkl3FlRK7nmXX5m2mYwaIMJVB+TD7KcuGnOe1Gre4KXa1WqUY1iEHJw0gQqLsX5LaTC7BNzNiVFVC6TDrMU54/7uRrbYgLV55w2NU8hG646UL7gh7fIphmKWZu9IC6F+S2ks1lq5WQFqlYqk85mKczbTKbtMIHqc07bPE8xyLJQLa8qDnWkUqYQuPmmjPgUts65nrxyJdFhR7VymVSYpWAeVFtMoPqcveMzjGbdmqilLuNQURR5Dyrk4GYLyHZCbmqSTC4HqRRRgmPyamXvQW01gWqHCVSfk01nODAxRyHoPh+qEtWoRRHFIMv+TXZDdEIqnSY3M0U6zFIrJyNQURQRlStOoOZmErE5rJhADQAnT26lkAlZ6DJQXo8/7RufoRBYj1GnFOZmSGezRAnFoaJKFVIp0mGW3FS7BbkNE6gB4JTJLRSy3cehFipl8kHISba0VFfk52ZIZYPkPKhy2Q0Snp4ilbHVdNphAjUA7BufYSQIiaKIchdDLhaqZQqZLCdPmEB1Q35uhnSQnAdVq9Sbd9OJ2BtmTKAGgDATsHd8mkKQZbHaWRyqUqtRqdXIBQEHJiz+1A352SnSCXpQtXKFVDZLftYEaiVMoAaEAxNbyAchCx32JC1Wy+QyATtHJxkN8z0q3XCTn5l24/ES6sWLymXSQWACFQMTqAFh/6ZZCplsxzNsLlbKFIIs+zfZ5HTdkp+ddgsaVKuJzGpQq1RIZQNyM1MJlG64MYEaEPZPzJHLBJRqFapR/JtksVomn8my35p3XROMFAlGR0gFAVECzbx6ioF5UCtjAjUgbMoVmRvZSC4dsBSzqRFFEYvVih/TZx7UasjP+DjUKpt5URQRVSqkgoD8jAnUSphADRCyaYZ8EL+ZV6pVyKRSjGbzzG8Y73Hphpv87DSpYPVj8qJKhVQmQyYfkh0fS6h0w4sJ1ACxb3yGXCbLYjXeU3yxUiGfcQOE0yn7qVdDbtp5UKtt4rkePOc9pVKphEo3vFitHSD2jU+TzwQsxfSglqoVckGWvRutKbFa8rNTLllztU28coV0kCU/awHyOJhADRD1OcqrUUQlxsDhRT/F775xE6jVkp+Z9sNdVutBlV0P3rQJVBxMoAaIQhAyP7qJXCZgaYVmXhRFlGoVcpmAPSZQq8bFoIJEYlDprOVAxcUEasA4YeNULIFaqlXIpDKMhQVmbIGEVZPzvXjUakTV7nOhLIu8M0ygBozdcQWq6r2njVMWjE2AoFggu3HMx6G696KeyCK3FINYmEANGLvHNscSqJIXqN1jm9eoZMNPfnZ1caioViOqVl0Tb4vNAxWHYL0LYHTGrrFJwnRAOapy108eanlcpVZjtjjGrjGbbygp8rN+TF6Xcaio7BI0gw0jBBtGEi7dcGICNWCM54rsGtscaxmqXCbgpEmb4jcp8nMzq8qFqlXKTwTIrdkdDxOoAeR3z3sRdz724IrHbS5sYKZo2cpJUZ9Zs3xkoavzayUfILdpfmNjAjWAFLM2O+Z6sNqZNSO/UIIJVHwsSG4YMSlsOTo3eTdTL9fKLgfKFkqIjwmUYcQknJwgk8+RymS6WoLKZZFnKWy1mSXiYgJlGDFJpdPk52ZdT16HS6G7pabccue2Fl58TKAMowPqgfJOUw2OTrOSI5yc6FHphg8TKMPogMLWua5SDWqlsu/BmyWVttsuLnalDKMDCltn3SrDHTbxak807yz+1AkmUIbRAYWtc11lk0cll2Jg8afOMIEyjA4ozM+RDjtPNah7UMV5y1/rBBMow+iAcHKCTKHgUg068KJq5kF1hQmUYXRAKpWiOD9HOgxjx6Giml/JJZulYB5UR5hAGUaHFOa3kArjx6Fq5TKpICA7OmIruXSICZRhdEhhfovLhYrrQdV78Oa32CwGHWICZRgdUpzf0lGqQa1UcvEna951jAmUYXRIYZsXqLhNvFKZdBhS3GYC1SkmUIbRIS6bPOsXUFh54sAnUgy22eSBnWICZRgdEhQL5KYmY8Whoihyw1zCLIV5SzHoFBMow+iCQsw4VFStQhSRDkMKW0ygOsUEyjC6oLhta6xUg6jkmnf5mSnSYXaNSjc8mEAZRhcUt9VTDUptj3Pxp5CiNe+6IrE5yUWkCPx34MXALuAnwM3Au1X1b7q0uR14K/AcYBp4APgccLWq/lsS5TaMbnBNvJBa+dG2xz0xxGXeAuTdkIgHJSIjwOeBtwG7gW8Ch4FnAZ8Wkbd1YVOAW4DLgQ3A14A88DLgFhF5dhJlN4xuqMegolKZpQcebPlXOXzE9+BZikE3JNXEez9wNnArsEdVT1fVHcAlQAW4UkR+Oq4xEQmATwKTwIeAOVU9E5gD3ocTqo+KiK1KaawLuc0TZDeOEW6eJJUJWv5lx0bJFPKM7Nq+3kUeSFbdxBORPcDFQA34eVW9t75PVT8kIvuANwNXAjfENHsxcAJwD/AKVS15eyUReQ1wKvA04Fe9bcNYU1LpNAfe+us8esttKx6bm5lidP++NSjV8JFEDOplQAb4oqp+a5n9H8CJyFNFZLuq3hPD5qV++6G6ONVR1UhE/ggnUC/BBMpYJ8YPHmD84IH1LsZQk0QT71y//afldqrqfcDd/uUzVjImImngrHY2gS/67W4R2RaznIZhDBhJCNQJfvvdNsfc5bdx/NytQGEFm/cC9TEG5jsbxpCShEBN++0DbY55yG83d2CvpU1VrQI/7sCmYRgDSBICVfTbxTbHLDQdG8dekjYNwxhAkhColYdzHyXOLPOd2Itr0zCMASQJgXrcb/NtjqnHlI50YC9Jm4ZhDCBJCNSDftsuabIeJ/r3Duy1tOkTOTd2YNMwjAEkCYGqj4nb2eaY+r7vrGRMVe/naAC8lc1tuNyrWDYNwxhMkhCor/jtucvtFJF5oJ7n/88xbf5LO5vAU/z2bi9ohmEMIUkI1F/67fl+gG8zv+i3f6+qd8W0ea3fXiYiYRub18S0ZxjGALJqgVLV24E/xzW5Pi4i9cRNRORi4PX+5TuazxWRPSJyoog0T5bzYVyS5m7gz0Vk1B8fish7gPNwzcD3rrb8hmH0L6lO1pdvhZ9V4EbgFFyawNeBTcAOf8ibVPV/LXPeXf6YP1PVS5v2nQl8FhcMfxz4Nk6wJoAS8BxVvXGV5X4sDMPR7dttpLlhNHLHHXdcr6ovWO9yJDJhnao+JCLnAv8N+E/AfqAM/D3wHlX9eBc2bxKRU4G3AM/GzWDwY+CvgHeo6q0JFP1IqVTijjvuuHflQw3DWGsS8aAMwzB6gc1JbhhG32ICZRhG32ICZRhG32ICZRhG32ICZRhG32ICZRhG32ICZRhG32ICZRhG32ICZRhG32ICZRhG32ICZRhG32ICZRhG32ICZRhG32ICZRhG35LIfFD9gIjsBO5ssTsCHgHuAf4GeJeqtlsJuS8RkUuB/w3cp6rzDe9/AXgG8Buq+ub1KV17ROQa4BdwUz+fH/Ocg8ArgGcCW3HLkD0AfAP4FPAnqrrQ5vx54DFVfWyZcnxEVS/u5rv0EhE5Hzf5I0BWVSsJ2d0PfFtVez6/UpLXeFg9qG8AX2z4+xfcclYnA28EviUip6xf8YyVEJGrgK8Crwbmge8BtwI14Dm46Z5VRE5f5txQRN6OW/Fnes0K3YeIyJiIvA+4jaMrIQ0MQ+NBNfFqVf1C85t+auI/A54HfExE9qtqba0L1wMuwS0B/+BKBw4CInIZ8FbgMHApcJ2qVhv27wf+FDgH+DsROdDkEW/BzcS6HG8EfpOjS5sNO6cDv7TeheiWYRWoZfFTE/8CcB+wD3gW8LfrW6rVo6r3rHcZEuZNfvvrqvqx5p2q+m8i8gKcpzwNvIbWgtR87g+AHyRVUKO3DGsTryWq+hCuYoNr8hl9hIhsAvb4l19pdZz3mP6ff3l2r8tlrA/HlQfVQNZvf9K8wy+r/hLc4g+n45ZfrwD3A58Hfk9Vj1nNWESejXOlz8GtaPNjnBBeC3xQVUvLnDMGvBZ4IXAC7oHxPeDjuED+o3G+zHJB8oZOgx8Bc8DLgSuAA/60bwB/DFyzXOA0qbJ1Qbnh/+fj4lCteBvw+7jvCDzpWtS53S/XeIGqfqFVAFdE6tcgC7wI55WdgvvtbwLepqpfEpER4H8A/xm3wvWjwN8Bb2hcRLap02avqt7RXPiGVY0uU9Vr2nzP+vEd1c0G+3XK/lrsalyjUkSe7r/vU73NR4Av4RY8+XyLsuSBV+Gu5V5gCbiBmJ5sXI47D0pE9uA8p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QwrKBaLJTMGfVh6T1GvR5w8MU0cJ5t63v5bxpmYKG/8QItli1hB6SE+95nTPPTF85sSFCEEO3cN8+p/9pw2rsxiMVhB6SEuXZpnccG0K3Cc5rJ69XpMoeBSrQZUKoNZbGXpHFZQeoQk0UxPVYmihPGJMp7XXPhremqROE6YnqpSudUKiqW92KBsjzA3VyMIYrTWuG7zNUee5xBFCVNXF9u4OovFYAWlR5i6skAUxbiegxCbERSXKLSCYukMVlB6hKtXF4miBL9JV6eB5zmEUcLVqwttWpnFchMrKD3C1SsLRGGCu1lB8R2iKGZ6qrrpdLPFslmsoPQIxkKJ8T13U89rZIPCMGZ6ejA7sVs6hxWUHmBxMWBhvk4UaTx/c38yIQS+5xJFCVcvW7fH0l6soPQAVy4vEEUJric2FZBt4HkOYRhzxQqKpc1YQekBLl+aJwo37+408HyHKEy4fHk+45VZLE/GCkoPcPnSPGGYbNrdaeD7LlEUM5VmiiyWdmEFJedorbl8aYEwivH91iyURmA2CGJbj2JpK1ZQcs7cXI1qNSCOddPl9isRQuD5LmEYc+mSdXss7cMKSs65/MQ8YRjjbbJCdiW+5xKGCZcuXs9wdRbLk7GCknOeuHidMGzd3Wng+ybT88QT1kKxtA8rKDnn4sXrhEGyZUHxfJc4SpibXWJhoZ7R6iyWJ2MFJcc0gqjGQtnan8pxBK6bWikXrNtjaQ9WUHJMw91piMFW8QsmjnLBCoqlTVhByTEXzs8RBFuPnzTwfYcwiLl4YS6T81ksK7GCkmMunJ8jDGL8QlaCYlLHV68sUquFmZzTYlmOFZScEgYxl56YJwhNT9gscF0HxxWEYcyF89ZKsWSPFZSccvHidYIgQgjRdEPqZij4LkEQc/6cFRRL9lhBySnnzs4SBDEF391SQdtK/IJHEMScOzOb2TktlgZWUHLK2TMzBPXs3J0GhYJLFMZMTS3aehRL5lhBySHVasDVKwuEYUyhmK2gOI7ATfujWCvFkjVWUHLIuTPG3XFdB8fJ/k9UKLgE9ZgzZ2YyP7dlsLGCkkNOn07dnYytkwaFgkc9iDh7eoYk0W25hmUwsYKSM5JEc/b0DEEQUSi0Z7Cj7zsksWZhIeCK7eJmyRArKDnjyuV55ufrxLHe8v6dtRBCGLcniHn8lHV7LNlhBSVnnDp5jaAeUSh6maaLV1IsetTrEY+fmm7bNSyDhxWUnPH4qWvU6zHFjNPFKykUPcLAdMJfmLfpY0s2WEHJEXNztWXp4vbETxo4jsDzHIIg5uQJa6VYssEKSo44dWKaoB7h+W6m5fZrUSx61GsRp05aQbFkgxWUHHHyxJRxd9qULl5JoWjSx+fOztrdx5ZMsIKSExYXAy6cv069HlFss7vTwPMcXMehXo84deJaR65p6W+soOSEk8enqNcj8yHPoDtbszTcnhPHpzp2TUv/YgUlJxw/NkW91jnrpEGxZNLHZ07PUKtFHb22pf+wgpIDFhcCzp+bM+5OqbOC4nlmv1CtFnLKZnssW8QKSg443iV3p0Gx5FGrRRw/drXj17b0F539OrSsyrHHrlKrdd46aVAseszMVDlzeoZqNaBSKXRlHb2KroUk15a+4fdiqIAzVurCirqHFZQuMzdX4+KFOYJ6xPBwpStraFhGtVrEiWNT3POMvV1ZRy+il0JmfvrPSWaq33in5zD2phfjP2135xfWJazL02WOPXaFej3C992uuDsNSiWT7XnsqHV7NkN8ZYHkWpXozAzRudmbP2dn0XM1opODlT2zFkoX0Vrz2NGr1Ja65+40KBY9FheqXLwwx9xcjbEBM9VbRVcDSDTCd3FvHb/x+2RqEZ1odHWwCgathdJFrlxZYOqq2bvT6XTxSlzXwfdd6vWIx45e6epaegm9FKITDSu3SjgCEk1SDbqzsC5hBaWLPPboFWo106qgE3t3NqJU8qgtRTz26GW0tp3cmkFXQ0iSNQXFWiiWjhDHCeroFWpLEaUuuzsNCkWPMIy5NlXl0hO2k1sz6KUQ1rFQrKBYOsLpx2eYn6+TJDrzURmt4jiCYtFjqRZx9Mjlbi+nJ2jEUFYVFK2N4AwQVlC6xNEjl1lKrZN2dmbbLKWyR20p5Ji6ShTF3V5O7tFVE0MRKwRFOMIEZRdtDMXSZqqLAadOTlOvhZTK+XB3Gvi+sZYWFgJOHrel+BuRrGehxNblsXQAlVbGOq6D5+XD3WkghKBU8llaCnnUuj0bYoKya8VQEuMSDRBWUDqM1pojX7/E0lJIueR3ezmrUiqbIrczp2eYm6t1ezm5Ri+uZaE4aVA2GKiMmRWUDnPl8oLpGxvEXS9mW4vlNSk2OLs+61koOtHoWMMAtYXI7B0tpawAvwC8HDgEzANfAt6ilPpIi+d8IfBzwP3ACHAR+Fvgt5VSKot1d5ojj1wylbE5qT1Zi1LZY6lq3J7nftOtuV5rN9ELdXSSfOPIWJH+pMVtbjmf1mjWZGKhSCmHgE8AbwJuA44Ai8CLgQ9LKd/Uwjl/GfgY8I/SXx0BJoB/ATwspXxpBkvvKGEYox67ytJS/oKxKykWPaI4YXZmiXNn7VD1tUgWA4i/0UIRQiAabs/C4MRRsnJ53go8D3gYOKyUepZS6gDwY0AEPCilfFGzJ0stk19Jb/48sEsp9SxgF/AWoAT8iZRyf0br7wgnjk2xmL65GtmUvPKk4OzXL3V7ObnlRgzFXcWCawRmByh1vGVBkVIeBl4JJMArlFLnGvcppd4F/EZ688FNnPbn0+N7lVK/pZSK0/PVgX8FHMWIyqu2tvrO0gjGlsp+rmpP1qJRin/i+DRLA1ag1Qw6jNH1aPUYCoA7eLUoWVgoPwq4wOeUUo+ucv/b0+MDUspbmzzn3wMfBN6x8g6llAYeSW8e2ORau8bMzNKNNo95KbXfCN93cVzB0lLIY4/aDYMraVgnWq8hKGktSjJAkxmzeGffnx4/s9qdSqkLUsozmA//84F3bXRCpdR/WOs+KaULPDO9eXxzS+0eRx65RK0W4Re62/dks5RTt+fII5d4xrP29oRl1SmS+bppXeCK1V8XxzEuz8LgCEoW7+zb0+PJdR5zOj3euZULpe7V/wTuAC6xigWTR+I4MaX21ZByj0X7iyUzA/nq1QW7YXAFer4OcWKEYxWEK9DWQtk0O9Pjeq2+GjXc21u5gJTy14EfAg5iRPBzwD9VSvVEbfjjp65x/XotVxsBm+XGhsGliK8/cok9e0e7vaTckMzXTZ3JagFZML+PEyM8A0IWFkqjEep6JZWNDr6tNk19ISYd3VjvLdxMJ+eeI49cYqlqUsW96DKUyr7ZMPjYVYL64BRpbYSer5mU8VoubJo2HiQLJQtB2cyW1FZrkF+OyercAfwHTPr4P0kpf6fF83WM+fk6px83Q7RKOS213wjfd0BAtRpwTNmesw2SuTokyTfsNL5Bw0IZoO0LWQjKQnpcrwlpOT2u0hp8Y5RSjyul6kqpE0qpXwb+eXrX69K4Sm559MhlarUQz3fwvN4Jxi5HCJEGZyOOfN2W4jfQ12voOFnTQhGuY2Io162gbIZGW+9t6zymETvJJPeolPpjTBm+C3xrFudsB0miefTrl3O9EbBZSmWPoB7xxMXrTE8tdns5uSCZa7g8a1koDsSJedyAkIWgHE2PB9d5TOO+YxudTEoppJR7pZQPSCnXW9+Z9JjboSfnz80yc61KFCa53QjYLI7jUCi41JZCa6WkJHNLJsuzVgzFbfRECdDBYDSrykJQPp8e71/tzrQ8vlHQ9tkmzrcfuICpa7lvncc1itouNHHOrnAktU7y1pWtVUpl4/YcffQycZx0ezldR8/W0FGCWDMoK0zQMNZGfAaALATlfenxBVJKucr9r0mPn1JKnd7oZGnp/mPpzZ9a7TFSypcBe4EAs/s4d9RqISePT5km1D1We7IWhYJLkmgWrtd5/NS1bi+n6ySzqYXirf5lIYRApIHZZHYw3J4tC4pS6jjwHkw84wNSykahG1LKVwJvSG++eeVzpZSHpZR3SSn3rLjrV9Pjq6WUb5RS+sue8zLgj9Kbv6mUyqX9rY5eZaka4jiiZ4OxKxFCmLYGaeXsIKODmGShvn7aGMB10HGCnh0MCyUrx/71wNPTn8eklI9gWg003JI3KqU+tsrzPp4+5p3Aqxu/VEq9V0p5N/DvMUL081LKExirpCE+v8/mNhx2FNOEundrT9aiVPKZmaly+vQMC/N1hkeK3V5SVzDWiTYuzXq9YjwHomT12cd9SCZfnWnF6v2YlgPHgLsxWZ9PAS9VSv16C+f8ZeDbgL/EuDb3YqygvwReopT6SaVULh35qauLPPHEPEEQ92ztyVp4noPnOtSWwoGeMJhcq0KUILw19vGkiEam59pgCEpmqQel1CLGYnhwE885uMH9nwQ+2fqqusOjRy5Tr4UUCm5fdjozlbMRj379Ms9+zv6+ssCaJblWXbcG5Qaeg44SkmuD4fL0h3OfIxoTAZf6KBi7kmI6YXB6enFgNwwaCyU2Ls16NFye6cGo3bGCkjFnTs/07EbAZmlsGKwtDW4T62Rq0aSMNxiDIlxjocTTg+HyWEHJmKNHLpsm1H1Se7IWpbLHUq0xYTCXoay2kkybGErTFsrU4kCM07CCkiG1WsipU9fSjYC9XRm7Eb7vorWZMHj68cGrSYlTC6UZQdFxgq5FA9EK0gpKhhw/NkVtqb9qT9bCNLH2qA3oYPXk6kKa5Vn/7ywcYTI9UUxytf/jKP39ru8w6ugVUxnb5+5Og1LJp14LefzUtYFqYq2DyFS+NmOhwI1MT3xlYePH9jhWUDLi+lztRhPqXt8I2Cye5+A4DvVaxPEB6pMSX1kwfU4E6xe1NfAdCBMSKyiWZlGPXaVej/D83mpCvVUabo96bHAEJbmygA6Nu9OMJSo8Fx3FxFf6P8U+OO/8NqMeuzIQwdiVFEse9XrEhfNzXB+Qvh/x5QVTg9LssLaGhXLZWiiWJpieWuTqlUUzAL04WILiug5eOlj9+LGpjZ/QBySX5tFhjGhSUITvosOY+LK1UCxN0HB3/D4ttd+Im27PYOztiS/NQ5gYy6MZPAfCmOTyginX72OsoGwRrTUnjk0NpLvToFg0s3uuXF5gZqb/96zET1zflIWC56B12vKgz9tnWkHZIlevLjI9vUgUxhQKgykojiPwU7fnxLH+Ds7qODGuSxg3baEIIRC+Y9yei9fbvMLuYgVli5w4NkW9HvftzuJmKaZuzzHV33GU5PIChDFas/FO4+X4LgRWUCzrsNzdGZTak7VouD1Xr/S32xNfmEMHMaLgbqp4URTSwOz5uTaurvtYQdkC01NVpqerA+3uNFju9pw83r9WSnR+DoJNpIwb+C6EMfFFKyiWNThxfGqgszsrKZY86rWIE30sKPH5WROQ3WRrClFw0UFMfHa2r3cdW0HZAqdOTptS+wGrPVmLQsElCGIuPTHPQp/O843Pzt5weTaFb6plk+u1vh5NagWlRebmaly5vDCQxWxr4bpm3GoQxJw6Od3t5WSOjhLi87PG5dmsheIIU4IfxESn+7fdgxWUFnn85DRBPcbzHevuLKNYNKX4/Sgo8YU509dE6+Z2Ga+k6EIQEZ+ZyX5xOcEKSos8fuqacXcGPBi7kkLRzEA+f26OoM/Gb8anZ9D1CFFsrT2FKHjoekzUx0PSrKC0wM0PTETBujtPwnXNWIlaLeJsn30TRyenjKC02CtYFF10PSLq4w53VlBa4OzZWer1CCH6vzPbZhFC3LBSzjzeb4IyDfUYWv0SKXo3ituSPm0HaT8NLXD29AxB3Vona1EouNSDmNOnr/VNilSHMdHj1264PK0gXMfMQQ4iohP9mVq3grJJtNacPj1DEMR9OyZjqxQKLnGUcH2uzvRUf4yPiE7PoKsBoJvfZbwaRR9di4j6tMOdFZRNMjuzxNxsjTBKrKCsgRACv+ASBBHnzs52ezmZEKkr6FoERX9L/YJFyTOC0qebKK2gbJKzZ2YJg5iCv7m9HINGo8itXwKz4aOX0bUIscU9W0ZQQkJ11Yzh6DOsoGySc2dnCQJTbm9Zm4JvBOXC+TniHm8qpBNNdPQKeilEbHW8bMEFrdHzNaLH+69WxwrKJkgSzYXzc8EIU1cAACAASURBVDZ+0gSu54DW1GoRV3q8l2p8ZoZkdsl0Wytu7e8uhICSj14KCR+5lNEK84MVlE0wPb1ItRqQJNqmizdACLP7OAhizp/r7R224VcvoqshorS1+EkDUU4F5asXM1hdvrCfik1w8fx1giDGt/GTpvALLmHq9vQywVcvGnenskV3J0WUfXQ1JFJX0X02IM0Kyia4ePE6YZjY+EmT+L5LGMZceuI6SdKb9SjJYkD0aEbxkwa+A65DshgQfO2JbM6ZE6ygbIJLF68ThjH+VuoQBgjPc0gSzdJSyMy13qxHCb96kWSxDq5oueR+JUIIRMVHLwaED53L5Jx5wX4ymmRxIWBurkYcJXietVCaQQiB57uEYcKlJ3pzJk3whXPoxQBRKWR6XjFUQC8GBA+d76vRGlZQmuTK5XmiKMF1bbuCzeB7DmEYc7kHMz06iAgeSgVlKFtBoeRBokmuVQmPXM723F3ECkqTXL68QBTGNruzSTzfIQoTrvTg1LzgyxdIGt3VtpguXokQAjFUIFmoE3z2dKbn7ib209EkV68sEEYJno2fbArPc4mimKmriz0XmA0+8zh6oY4YLrQlqyeGC+iFgPrnzqD7pHeM/XQ0ydRUlcjGTzaN6wq0hjCMmZ3tnfEayULdxDcWAsRwsT0XKXmgjdsTfPl8e67RYaygNEEQxFy/EZC1L9lmEELgeg5RlPTUzuPgM6dJrtfBc1puV7ARQgjEcBE9X6f+yZNtuUansZ+OJpi5ViWOE4QQNiDbAp7nEEcJ16Z7Y66v1prax4+j52uI4YyDsSsQI0X0Qp3gS+eJ+2DusRWUJpidXSKOE1zXikkruK5DFGtmZ3tjfER0YoroxJQpZhtpk7uTIgouFD1jpXziRFuv1QmsoDTB7MwScZSYDW+WTeO5xkKZvdYbMZTaR5Vxd4YKpstamxGjRZK5GrWPHUOHvR2ctZ+QJrh+vU4ca9wOvLn6EccVxHHC9ev5t1CSmarJ7lyv4YyWOnJNMVSAOCF+Yp7gc2c6cs12YT8hTbAwXydOEhs/aRHXNSX41WpIlPOmQrW/OWZqT3xny82UmkUIgRgtoedqLP310Z7uw2sFpQkW5usksbYxlBZplHAkiWZxIb8jSvVSyNJHHyOZrSHGOmOdNBCjRXQ1IFJXib7eu31SrKA0QbUakiQax7EvVys0smMNKyWv1D5+nOTqImidfan9BgjXQYwUSeaWWPqLr3f02lliPyEbkCSaej1KBaXbq+ldhCPQiaaW0/4fOohZ+ssjJDNLiPFSV/rdiLESer5O8JULhMd7c8yG/YhsQK1mrBOtsU2VtoDjCBKtWVqKur2UVal9/DjxE9chittXGbsBwnfN/p7ZGkvv+2pX1rBVrKBsQBgmqZhYQdkKQgi01oQ5TIvqIGLpzx8x1slEGdHF4LuYKKOv1wgeOkd4vPdGbVhB2YAojNFaWzHZIkJwY09P3qh9VBFfuA5h96yTBjeslJklqu99uKtraQUrKBsQRQlowOrJlhAYCyVvaeNkMaD6gUdIrlW7bp00EBNl9Hyd8CsXeq5FpBWUDUgSjUZbPdkqAtDkrsai9sEjJJcXTGanzWX2zSJ812R8rlWpvvvL6B5q+2AFxdJR8qQn8dQiSx88YqyTyUqu3FoxXjYNso9eIfjM491eTtNYQbF0lBx9Zqm+9ysk01VwncxGZGSF8Byc8TLJtUWq7/kKOshndmwlVlA2wPWcNEPR7ZX0NiawTW76yUQnpqj/3UmSmSWcbfmyThqIsRI6iInOzbL0oUe7vZymyMdfN8d4nmMyFFhF2RIaSJstdRutNYvv+CLJTBUqfsf27GwW4QjEtgrJ9CJLH3iEuAf6yXT/r5tzGlMCdZK/gGIv0bBQfL/7LTSDTz9OeOQSer6OM1np9nLWRQwVwBEkVxap/smXu72cDbGCsgGlkmfMYZGvgGKvYbYuCEql7sYqkmrA4ru+RDy1iBgvI3JgMa2HEAJn+xDJTJX6p04SPprvkRv5fjVzgOc5eJ6DI6yFshUSrXGEoNRl92Lp/V8jvjAHUdLxHcWtIooeYrhIMl1l8Y++kOvBYFZQNkAIQbni4zhOz42ByBNJohGOoNLFbEp0doalDz1KMr2Is72SiyK2ZhGTZXQ1IDx2ldpHHuv2ctYkn9GonDE8XEy7jmn8jD4PCwuz2ZyojQwPj2dyHq01OjEjNYa7VDymtWbxD79g0sRFL/PRou1GuA5iskIytUj1fz5M8ZsP5jL+k5mgSCkrwC8ALwcOAfPAl4C3KKU+0uI5nwv8LPCtwG5gCXgUeC/wdqVUkMHSN2RktIjrCJIkO1Pzlx783szO1S7e8lufzuQ8caxxXEGh4FHIaOD4Zql/+hThVy+a1o77x7qyhq0iRoro63WSKwssvvMhRv7lP+j2kr6BTFweKeUQ8AngTcBtwBFgEXgx8GEp5ZtaOOfPAp8DfgTYDhwFFoBvAn4X+LSUcjSL9W/E2FgJ13WII+vytEJjYsDoWHf6jCQLdap/nAZiJ8qIHGSaWkEIgbNjiORalfqnTxF89WK3l/QNZBVDeSvwPOBh4LBS6llKqQPAjwER8KCU8kXNnkxK+QDwO+n6/j9gQil1r1JqH/DtwMX0er+X0frXZXy8jOs5xDkOhuUZIygOExPlrly/+u6vmEBs3DuB2LUQRc/s82kEaHM2wnTLgiKlPAy8EkiAVyilzjXuU0q9C/iN9OaDmzjtz2O2k31IKfUGpdSNRqRKqb8DXpXefLmU8pYtLL8pJibL6WwZKyit0Ji4ON4FQQmPX6X2t4pkuoqzfSiXFbGbRUyU0bWQ6OQ0S3+Zr3aRWcRQfhRwgb9XSq1WH/x24JeAB6SUtyqlzjZxzm9Lj+9d4/6PY2I0I8B9wLk1HpcJE5MVPM+0MGzUU2yVNz/4wQxW1htEUUKx5LFtW2eDiDpOWPz9z5tAbMVHlPO1X6dVhOuYCtqpRZb+7BGK33IId09HvP8NyUJQ7k+Pn1ntTqXUBSnlGeAA8HzgXeudTErpAD8E3AL8nzUetvwT3XaHuFTyGBktcW16iShKMgksZpVByTuNHiie57B9x1BHr137qCJ87Ap6sY5zS3+93mKogL5eJ766yOIffYGRN74wF9ZXFoJye3pcb9rzaYyg3LnRyZRSCfDRDR72Eox1AiYA3HZ27Bjiwvk5oijuWqaiF4njtOS+4DLRwTRnMlM1u4mnFk1rgj4b0najgvbCHMFD5wk+f5biNx3o9rIyCcruTI/rNcCcTo/bt3oxKeUw8NvpzYeUUke3es5m2Ll7BN93CUMbR9kMURjj+S47dw53dFDa4ju/RHJlASA3jZOyRhRcxFiJZGqRxf/+RXQOJgpkISiNr5315kw2htpu6StKSlkA/hSQQAz83FbOtxn27BnB9x2iHPZEzTNhlOD7Lrt2j2z84Kyu+fVL1D91kuRaFWdHfwRi10KMl9FhRHx2luqfPdLt5WQiKJv5hLVcyCGlLAN/Dnxn+qtfUEr9favn2yw7d43geS5JojMtcOt3wjDG9x127+mMoOgoYfGPvmC6sA0XEcX+LgYXjsDZNkQyvUjtQ0dMeryLZCEoC+lxvQR/I19YbeUCUsqdmMK570p/9atKqd9e5ymZUyp5bN8xhO+7BIEVlGZIEk2cWih793WmOrX20ccIT0yhqyFisjt1L51GDBWg4BE3XJ8ubmLNQlAaI862rfOYRuzkymZPLqW8G/g8pkJWA/9KKbXpytss2LdvFL/g5nIURB4JwxjPcxgbLzPSgThGMlej+qdfTQOx5b4LxK6Hs72CnqsRPHSe8EsXureODM7RCIoeXOcxjfuObebEUsoXAJ9Nn18DXqaU+p1NrS5D9t0yTqHgEuasOjGvhGGMX3DZt78zNRLV//Ww6WBP/wZi10L4LmK0RDK9yOIfP4Tu0pdeFoLy+fR4/2p3Sin3A7emNz/b7EmllM8HPgyMY7JE366Uev8W1rll9t8yhu+7xHFiy/CbIAhMiv3WAxNtv1Z0bpba/z5mArE57RHbbkwFbUR06hq1v93Ud3dmZCEo70uPL5BSylXuf016/JRS6nQzJ5RSHgL+EhN7OQ88oJT63FYXulXKZZ9du4aN22OtlHVZHj+55db2F5VV3/1lkmtVKHl9UxG7WYQjEJNl04P2/V8jWezIZvwnsWVBUUodB96DqVj9gJSyUeiGlPKVwBvSm29e+Vwp5WEp5V1Syj0r7vpDYAyTbv5upZTa6jqz4pYDxu0JrKCsSxBE+L7Ljp3DDA21t/dI+Ohlgs+fRc/VctkjpJOIkSJoTXxpnqW/6Pw+n6xyaq8Hnp7+PCalfASYwFTHArxRKfWxVZ738fQx7wReDSClvA+zoxhMVuhtqxs+N/i1VvuttMKBg5MUi2epLlbtzON1COoxhaLLgYPtdXe01qYidmbJpIkHvIpZCIEzWSGZrlL766OUv/tunPHOZbsyERSl1LSU8n7MLuGXAXcDIfAp4L8opT6widM9f9m/twEPbPD4XZtZ61bZs3eEctlnVgii1KS3PBmtNUEQMzRU4OCh9gpK+NWLhI9cQi/0336dlqn4MCtIpqss/fnXGfrx53Ts0plV/SilFjEtCh7cxHMOrvK7/wz856zWlTWu63Dg4ATT01Xq9cgKyipEUYIQUK747NnbvgyP1pqlP/0ayUwVMVLMfQf7TiGEwJmokFxdoPY3ivL3PxVnojOuoP0LtMCh2yYpFl2Cuo2jrEa9HlEoehw8NIHbxlqQ6MhlwqOX0YsBooNmfU9Q9sBzSGaWWPqrjmx3A6ygtMSBQxMUCp5NH69BUI8pFl0O3jbZ1uss/fkjJLNL1jpZBSGEmY08u0Ttb4+RLNQ3flIG2L9CC1QqBfbuG6VQdKnXe2OIdaeI44Q4SSgWPQ4eap+gRGdnCL5yET1f7/m2jm2j4oOAZHqR+idOdOSSVlBa5LbD2ygWPev2rKBejygWPPbtH6PcxnqQ2kcUer4GZb9nm063GyGEaW8wV6P2NwrdgblSVlBa5LbbjaCEYWwHgC2jnro7tx1eb2vX1tBLIfVPnyKZq+FY62RdxHARgoj4/BzhV9q/x8cKSotMTJTZvr2x+9i6PWCqY6MwplD0uO329glK/XNnSGaXQAjo8mjTvCMcYcaYXq9R/+R6TRWzwQrKFjBWikvduj0ABPUIv+Cyc9cwY220HOqfPGliJyNFW1jYBGKkiF4ICL54ru3BWSsoW+Dw7Y04SmQHqZPGT4peW92d5FqV8MglkyoesB3FrSKKHriCZL5O8IW2DoiwgrIVduwcZnSshOs5A7+3p1EdWyy6HG6juxN88ZzpnVp0bap4E4ihAnoxIPhiM1NsWsf+RbaA44hl2Z7BjqMEgWmmND5ebuu4jOCh88Y6afOGw36jISjhw0+g2/hetYKyRZbHUQbZ7Wm4O4cOb2tbXENHCeGjl9FL4cC2KGiZggsC9GJAdGy9ARVbwwrKFtm3f4xKpYAQZg/LIKK1Tqtjvba6O9HJKfRi3TQCHfBdxZtFCAElH10LCY9cbtt1rKBsEc8zmwULRW9gq2aj0GwGrAz57N3Xvs2A0bEp9FJkmijZ7M6mEWUPvRQSWgsl3xw6PNibBeuBcXcOHJps72bA09fQQTTwPU9aRRQ8dBATn5lpm3tuBSUDDh6apFgc3M2CjWZKt7V5M2B8dhYdxNDns3baRsFFRwnJ7BJ6br25fK1jBSUDymXT92MQNws2RNRYKO1tppRcXYAwRvj2bdsKwhEIV0CUEF9Z2PgJLWD/MhnRsFIGrR6lYZ3s2TtKqdS+zIteCkkWAogT8KzL0zKeY6yU6ZZm7m18+racdQA5eGiCQsFl/np9oHrN1oOIUtpMqZ0ks0uQJGghEBkOXZ+qX8/sXO1iezHDQLfrQOr2tAMrKBmxfccQo6MlZmdrhIHZINfvaK0Jg5jR0SIH2tj7BDDFWAmZC/XdH3pdpudrB1d/4J2ZnUs4ArSGNrnm1uXJCCEEtx6YGKgRG2GY4LoOw8NFtm9vX3UsYCbhaW3fsVtFGEHRbXqP2j9Phtx6cLBm9gRBdGMyoJOhG7Iug1uM3BNYQcmQW241ghLHCUnS/+njxqjRWw60f3yFKHrpt2vbL9XXaK1BCESxPYHt/nf0O0ilUmD7jmFmZ2oEQUKp1L96fWPUaKEzo0ZFyQcHdKIzDXof/Z7/msl5eoZEgyMQxfZk5KygZMz+W8Y4c3qGMIgo9XE3sTA0u4snJsqMdKAviTNeAsdBgPlQuNkISqYZlF4gSsBzEBPtGTvSv1+hXWL/LWMmjhL2dxwlDGL8gsv+Dk3rEwXP9I/1TNrT0iJxgnAd3DYF0a2gZMzefWP4vkMS675uXh2GJn6yd3/nvuGdXcMI3zEZH8um0XECsQbfxdk13JZrWEHJmHLZZ9u2ITzfIezTbI/WmjCd67x331jHrusdmISCBwO6CXPLBDH4Lu72IZzh9ripVlDawN59o/i+S9in36RhmOC5DiOjRUZHO9fX1Ts4gSh6aDtloCV0ECGKLu7B9lU1W0FpA7v39LugxPi+w549ox3dYuDJHYiSh67ZpuCtoJciRMnHv2tn265hBaUN7Nk7gu+7RFHSl2/8MDQB2d17Rzp6XffWCZzxMsJ12lY63q9orSFtnek9dXfbrmMFpQ2MT5QpV3wcR/RdW0itNVGY4Hsuu3d3NuUqHIH/9N2Iio+uhh29ds9Ti8B1EGMlvDb2rbGC0gaEEOzaNYznO30nKElaWOb5Djt2tnf/zmoUnnPrjQ7uluZpTAoo3LffWHhtwgpKm9i5a9i4PX0WR4miBM932JaOYe00/rP2mQxFrG1wtkm01jcF5Xm3tvVaVlDaxM6dw3ieQ9hnFkrD3emGdQLgDBXwn7kPMVxAz7d3rGbfsBSBEDiTZQrP2NvWS1lBaRM7dg7jeS5xnwVmoyhO3Z32FEY1Q+nbb8cZKaLng756bdtFks6BLj5wCFFo73YQKyhtYnSsRKnkIRzRV42royjB8xx27OieoPjP3Iezc9i0M7SxlHXRcQLVAGekSPHbbm/79aygtAnHEWzbPoTn9U9gNkk0caLxPIftOypdW4fwHEovuhNnrNS27u39gr5eR1QKeHIHXhuHsDWwgtJGtm+v9JWgxJGpkB0eKba1IXUzlL7jTsRoCcIEXbPB2dXQiUZfryHGSpS/8+6OFCFaQWkj/WahRLFxd9rd7rEZnIkKxW89hBgrta3hcq+jF+rgubh7Ryl884GOXNMKShuZ3GYslLhfBCVKcD2HyW3dc3eWU/7+p5mWBkuhTSGvQGuNnq3hTJQpf89TEB1K8VtBaSOT2yq4rkMc677IRsRpQDYvguLdMk7hmw4YK2XGWinL0QsBOAJ35zClF93RsetaQWkjlYpPuezjuv1Rgh/FJoYyOZkPQQGo/OA9OGNlqIZm1IbFWCczVZzJCuXvf6ppn9khrKC0ESEEE5MVXM/p+dRxkpiGUa4nmJhsT/vAVvAOTlL8lkOI8bK1UlL0fB1cB3fPCKWX3NXRa1tBaTMTE2U81yGOetvlieME1xVUKoWuZ3hWUv6he3EmylCL0LXB3jSoE42+toQzOUT5pfeYaQEdxApKm5mYLPeFhWIExWG8Tc2Nt4K3b4zSC+/AmSiTTFf7Il7VKnp2CVHy8A5OdDR20sAKSpsZnyibGEqvC0qk8VwnV+7Ociovuxdnx5DZNDig1bM6StBzNZzJCpUffkbHMjvLsYLSZiYmyjdSx738zRnHJmU8MZGfgOxynMkK5e97Gs62CvpaFd3HDcLXQl+rIoaLeE/dReH+g11ZgxWUNjM2XsZN+0/0sJ4QpTGUsfFSt5eyJuXvfQru/jHwXPT1wSrJ1/UIvRjgTFYYetV9Zih6F7CC0mY8zwwTd93eLXDTWt8ou5/IYQylgSj5VF7xLNztQ+iZJXSPvt6bRWtNMlXFmShT/NZD+LJ9PWM3wgpKB2jEUXo1MNuwrBzXYXQsvxYKQPFbb8N7yi7ESBF9rdrt5XQEvRhAnODsGKbyo8/u6lqsoHSA8fFST2d6Ghme4ZFCV7q0bQbhCIb+6XNwJiroatj3Gwd1otHTVZztQ5T/8dPaNhGwWaygdIBGHCWKezOIEkdp/GQsv+7Ocvw7dlD89ttNGnlqsaeD4RuhZ5cQBQ/v1nHK3/vUbi/HCkonGBsv9bTLE8ca13VyHZBdydArnmmaMOl0X0sfosPYpIm3V6i86r6OF7GthhWUDjCeWii9KyiNlHFvWChg2htUXnYvzvYKero/08jJdBUxWsJ/5r62N59uFisoHWBsrGRSx5qeHKDeKLsfy3lAdiWl77wL77ZtiLKH7rN9ProaQi3C2VZh6Mef09EJjuthBaUD+AWXoeECTo+6PY2g7Nh471goAMJ3Gfrx5+BsG0Jfr6H7ZHi91ppkehFnW4XyS+7Cu7V9s4o3ixWUDjE+XupJtydJNIkmt/t4NqLwzH0UnnsrYszs8+kH9PW66XWyZ5TyD93b7eU8CSsoHWJsPN113GOZnpu7jH0KhXynjNdi6FX34WyrQBChq70doNVxYnqdbBui8sPPMEPPcoQVlA5xoxalx6o3e9XdWY67d5Tyd9+Ns22o53cj65klRKWAf+cOii/s/G7ijbCC0iFMLUrvxVAaKePxid4KyK6k/AP34O4eAUcYl6EH0UGMnq+b3cSvuq+tM4pbJX8r6lNM+X3vxVDMHh7RUynj1XCGCpRfdq8J0M4smQFYPUZyrYoYK1F43q0U7tnT7eWsSmaVMFLKCvALwMuBQ8A88CXgLUqpj2R0jfem579DKXUii3N2ikYtSpKmjp0u7QbdLHGcUCp7PVMlux6lf3gntb9RhHNL6NkaIifNtptBL6Vp4t0jXd+vsx6ZWChSyiHgE8CbgNuAI8Ai8GLgw1LKN2VwjddgxKQnKaSp415ze250astpY6XNIDyHoVc8C2eyYtLIPRLP0lqTXKviTJYp/cM78faNdXtJa5KVy/NW4HnAw8BhpdSzlFIHgB8DIuBBKeWLWj25lPLngLdlstIuMt7I9PTIG/lJKeMeDsoux79vP/49e81u5JneSCPragixNruJX5avNPFKtiwoUsrDwCuBBHiFUupc4z6l1LuA30hvPtjCufdIKd8P/A7QGz7COkz0WBylkTIeGi70bMp4JUIIKj/yTJyJMnohyH2xm9YafS0difGP7sbJubBnYaH8KOACn1NKPbrK/W9Pjw9IKZvecCCl/MfAceClwAzw01tdaLcZnzANq3tl13EvNFVqBf+unRSec2s6ICzfVopeCEAInF3DlL6n+7uJNyILQbk/PX5mtTuVUheAM+nN52/ivPcCFeDdwFOAD7e6wLwwMVnuqdGkUQ9uCmyWyg8/4+aAsJyOMTUDu5bMRsfvfxrOUKHbS9qQLATl9vR4cp3HnE6Pd27ivJ8G7lVKvVIpdamVheWNicnKDZenF4qrGhZKPwRkV+IdnKRwf77HmN4YJ7p7mNJ3yG4vpymySBs3GlheXecx0+lxe7MnVUp9ouUV5ZTR0SKe54AwAU/XzXdYKI61GY6eo9GjWVL5wXsIPneG+OwMOogROYoT3bBOtlUof99TEeV8DVdbiywslMa7bb02442vgP58ZzZJY4Od5zq5n3WstSaOzXD0fnR5ILVSnncLYrSEns2XlaIX09jJzmFKL+4N6wSyEZTNhMnzb+e3mV6ZJBjHGiEEvu8yMtrbZffrUf7HT8cZK6EXA3SUj4yP1ho9W8OZKFP+rrt7xjqBbARlIT2u965rfMXlO6TeASYnKz0RmL3RpW2y3DNVva3g37kD/969iOEiei4ne3xqkak7mSxT+s7ODjvfKlkIylR63LbOYxqxkysZXK+nmdxWMS5Pzi2UqLGHp0/jJ8spf89TcMZKJNdruWgVmczWcMZKptH2SL7aE2xEFoJyND0eXOcxjfuOZXC9nmZyW+VGG4M8Z3riKMHzXbb10H6XVvGfuQ/34AROyUfPd9dK0UEMtRAxVqT8nXd3dS2tkIWgfD493r/anVLK/UCjoO2zGVyvp2nMOtaaXAtKY/To5AAIinAEpZfchRgrmT0+Xfy76Os1xEiRwrNvwd072rV1tEoWgvK+9PgCKeVq4ejXpMdPKaVOZ3C9nsb3XdO02stvpufG6FFvMCwUgNILDuNMVkzaYKk7hW460STzdZzREqWX9E5mZzlbFhSl1HHgPZjy+w9IKRuFbkgpXwm8Ib355pXPlVIellLeJaXMZ3OHNjG5fQgvx4KSJBohwC/0dqe2zSDKPsXn34YzWiSZ786gdb0YIIoe7v5x/Hv3dmUNWyWrfiivB56e/jwmpXwEmAAOpPe/USn1sVWe9/H0Me8EXp3RWnLPtm35zvREUYLruUxOVvo6w7OS0ovuoPbho3DNNGDqdEc0fb2GM1qm+MLbET36umfyiimlpjExlF/BBF7vxmR9PgW8VCn161lcp1/Ytr2SawslikxB27Zt3Z2T22m8g5N4d+5AVDofnNVBDEGMGClQ+rbDHb12lmTWsU0ptYhpUfDgJp5zcBOPPU0ftDAA2L7M5dFa52ZIU4MoSigUXLZtH4z4yXKKzz9M+LUnzP6eDrp7eqGOGC5SeNZ+nInefd1tT9kuMD5RxvPcG3t68kacWijbtw+WhQJQfOAgYrgIUdKxXchaa/R8HTFSpPgPDnXkmu3CCkoXcF3HFLjl0O3RWt90eXYMnqA4oyUKz96HGCp0bsh6PTL7dsbLFJ5zS2eu2SasoHSJ7TuG8Dw3d4ISRab+pFz2GR7Of/+NdlD85kOIYSMonahJ0QsBYqhA4bm3IAqZRSG6ghWULrF9+xB+Di2UhnWyfcdQ7mI7naJw336ckRIkGtrcIlJrjV4McIYLFO8/sPETco4VlC6xY2camA3zscO1QZSW3G8f1qzixAAAFcJJREFUQHengSj7+M/Ya9yexTa7PXXz9xdjZfx7erP2ZDlWULrE9u1DZk9PonNVgr/cQhlkCs+9xQhKNWzrdfRi6u48c1+uGjy1ihWULlEZKjA8UsRzBVGYD7fHBGRjPM9hx47hbi+nqxSevR9R8SGM0W20InX1ZvykH7CC0kV25Cww20hh+747EJsC18MZLeHfuQNR9s3Uvjagwxii5IaL1Q9YQekiO3YO4/kOUU46hUXphsBGSnvQ8Z9lrJR2uT16KTRictdOnOHe6nuyFvZd00WMheIQ5sRCicIE33PYsXOw4ycNCs/Yi6gU0EthW+JcuhoiKj7+M/Zlfu5uYQWli+zYNYzvu7lpthRGMZ7vsHPnYMdPGriHJnHGy2aTYC3bqlmtdWqhFPDv6Z/N9lZQusjYWIlSycNxRC52HkdRgu+57NxlBQVM4yX/6XuM25N1HKUeI1wHZ7yEd3i97qm9hRWULiKEMHGUHLg9SZKgE43nO2wf8AzPcvyn7UKUfHTWFkotRJQ8vLt39WyrgtWwgtJldqZuT7czPWF4cwZPvwxGzwL/qbsRZQ9dizJtYH0jIPvUXZmdMw9YQekyO3elmZ4uV8w2KmR37hrp6jryhrN3FGeygvAdyGj3sdYaXYsQJR//KVZQLBmyc9fIjVqUbgZmozDG9x0bP1mBEAL/rp3Zuj1BjHAEYqSIe2Aim3PmBCsoXWZsrESpbAKz3XR7wtAEZHfttoKyEu+unYiSl5mg6LqxTrw7tne8zWS76a//TQ/iOIJdu0bSArfuCEocG+vIBmRXx7tjO6LoQS3KxIrUtQhR9PDv3JHB6vKFFZQcsKsRmO1SHMXETxwmJys2ILsK3qFtZr6w1pCF6NciKHl4d27f+LE9hhWUHLBrzwi+5xJ2aZNgGMb4vsuuPTYguxqi4OIenDBuT31rbo+OE7N/p+ji3W4FxdIGdu9OXZ64O4HZKI2f7LaCsibe4e1Q9G70L2mZIIaCi7trBGe0lM3icoQVlBwwNNxoZeB0vJWB1powNCX3u2zKeE28w9sQhQwslLqJn3i39U917HKsoOQAIQS7Uisl7PDO4zg2YzwKxcEcm9Es3m2TJjBb31pgVtcj40JZQbG0k927R/D9zsdRGvUnu3aN4PZZCjNL3H1jiJIHQmwtMFuPoejhHeqv+pMG9h2UE3bvGcH3HcIOZ3oaAVkbP1kf4bu4t4xDwTVT/lpAJxodxYiCi3dwMuMV5gMrKDlhV2qh6EQTx52zUsIwwfdd9uwd7dg1exXv4ITp+9pqHCWIEZ6LM1HG6dMh9FZQcoIZ/TmU1qN0RlCSVLw832H3bmuhbIR7YMIEZlu1UIIIUXRxb+1PdwesoOSKPR12e6IoxnUdRkdLDI/0RwvCduLeOoEouq3P6gliKHh4fbZ/ZzlWUHLE7r2jaWC2M4IShgl+wWXPXmudNIN36zj4LjqKW2ploIP4ZiymT7GCkiP27B3FL7iEHdp5HKYZnt17bPykGcRYCWe0hPBcaEX0AxOQtYJi6Qjj4yWGhgq4HZjV0yho832XvfusoDSDEAJ3/xjC33ymR8eJGW3qu3j7x9q0wu5jBSVHCCE65vbEsUYgKBa9gZ8SuBnc/SZ1vGkLJYzBd3B3DJmNhn2KFZScsXfvKIUOCEoYxvgFh127bUHbZnD3jbZmoTTcnX39a52AFZTcsXdfGkcJ2xtHCQPr7rSCu2+sRQslAd/F7fN4lRWUnLFj5zCFoulJEsdtFJQwpmAFZdO4+9IYyiYFX4cmw+P0eQGhFZSc4XlOuq+nffUocZyQJBrPVshuGmf7EKLoIgSb29MTxsZC6fPX2wpKDtm7byx1e9ojKI1y+x07hygWvbZco18RjsDZNQK+a9yYJtBao8PE1KBYl8fSafbuSwOzrVZkboAJyLrs7fNvy3bh7hlBFFx0s4IfJabLfdHF2d7fGTUrKDmkUeCWtGmjoAnIOuzt84xDu3B3jYDnNB+YDRPwHJxdI301JXA1rKDkkEZtSDvqUZJEE8XG5dm731ooreDuTlPHTcZQdJSW3A9ARzwrKDll3/6xG+njLAnDGN9zGJ8oMzxsNwS2grNrOI2hbMJC8R3cARiiZgUlp+zdN9aWOEqj3H6fdXdaxt01gvAcdJN7rnSY9kEZgBYRVlByyr59ozc64ScZDukOgzQga92dlnG2D4HnIDRmf85GRKmFstNaKJYuURkqMLmtgu9lV4+itSaMEgoFa6FsBVFwcSYr4DvNpY6j1EIZgKmMVlByzI04SkZuTxgmeK7DyEiRsfH+mwnTSdwdw6nbs/7fRifaWDGetVAsXWbvvlEKGRa43ag/2T+GEP2dvmw3zo4h8NyNq2XDGFwHZ6TY17uMG1hByTH79o2Z1HFGDZfCIKbgO7agLQOMoDgbC0pkNgX2e0FbAysoOWZ0rMToaAkvgzjKjYZKBZd9fdzgp1PccHk2iKHoKEF4zsAIit3IkXP27R/j4sXrzF+vI5yg9RNpcBxBpWKCvZatYTI9LmxUyRyZKlnXCoolDxw8NMGjRy5RymATn3DgwKEJnD4v/+4EzrYKwndgo6BslOCUPJwBGfNqBSXn3CF38EOjRWq1rQ3pBmOh2P072eBsGwLXQccanei19+jECXiDE0OxgpJzrAjkE1HxEWUf0QjMFtzVH9iIoUwOhoVig7IWSwsIIXC2VcBdO9OjtTYbCD3HWDQDgBUUi6VFnMmKyfSsFZhNNALAFTgT/TnLeCVWUCyWFnEmyuvXojSsk7ESwl/DJeozrKBYLC1yw+VZy0KJU0GZGIz4CVhBsVhaxpmo3GhjsBo6ShCuY4RnQLCCYrG0iDNZMS7PWhZKlJj4yfhgxE/ACorF0jLORBmxTpaHWA9UyhisoFgsLeNMlG8Wt62yeVPHidlpPCAZHrCCYrG0jDNeBleY1PBqndsaWZ4BEpTMKmWllBXgF4CXA4eAef5fe+cebdd0xeHv3ki8QhJRj0olSEzakLZU41FilDAQqaqOEc8g1VDRd6ulqNbIoIpSj9JW1KORKk2jVJSW0gb1jvDTEJF6VCmhIm4kt3/Mtd3t5Jxzz7nZ99w7nPmNscc6e++15ln7nL3nXmuuudaE+4HzJN3cRZmbAqcAewMbAP8BbgOmSnq8iHoHQVdp6duH1v6rs7xPKyteWbKS+337suVulA0bSn2Y2drA7cCpwObAY8CbwFjgJjM7tQsyDXgAOBroDzwMrAEcBjxgZnsVUfcgWBVaN+zvtpS+fXwIObe1DlwT+jXPPB4oroVyIfBJ4CFgf0mLAMzsMOCXwGlmdrekP9UizMxWA24EBgNXAl+U9JaZ9QN+DBwPTDez4ZJeKegagqBu+k/eibY5C6HCAlh9Nh/cVC2UVVYoZrYFcCiwAjgkUyYAkq40sy2Bk4HTgJoUSpI3HHgWmCSpLclrM7MTgFHAp4CvJtlB0COsNmwQqw0b1NPV6DUU0eU5DOgD/F3SvDLnL0npzskmUgsTU3plpkwyJLUDP0u7E+qsaxAE3UgRCmXHlN5V7qSk54CFaXe3zoSZWSuwQzWZwN0p3dzMPlRjPYMg6GaKUCjDU/pUlTzPpHTLGuRtAmSdzkoyFwHZUlm1yAyCoAEUoVA2SOl/quTJDKfr1yGvokxJy4HFdcgMgqABFKFQMr/ipVXyvFWStxZ5RcoMgqABFKFQ6onvUEtwmXrjRRQX+DcIglWiCIXyv5RWi22Z2USW1CGvSJlBEDSAIhTKyykdXCVPZud4qQ55FWUmx7ds5eZaZAZB0ACKUCjZnJphVfJk557sTJik5+kwuFaS+SHc96UmmUEQNIYiFMo9Kd2x3EkzGwJkDm1/q1HmvdVkAjuldGFSQEEQ9AKKUCi/SemYNKGvlMkpvUPSMzXKnJHSI9P8nUoyp9UoLwiCBtBSbmGYejGzq4GDgXnAeEnz0/FDgcvxOUN7lk4OTPOA+gKLJb2QO74GMBfYAvgtcKSkN5JyORuYgneLtliVyYFm9nq/fv3W2XTTWmcEBEFzMH/+/FmS9q+3XFGzjU8AtknbE2b2KDAIGJrOn1RhpvFtKc8VdMzfQdJSM5sA3AocCOxlZk/gSyOsB7QBBxQw03hJW1sb8+fPX9R51iAIOqOQFgq8uybKN4HP4w/+MnyBpfMlXV+hzDMkhSJpYpnzQ4HvAXsBG+KtkjuAH0p6qJCKB0FQGIUplCAIglhTNgiCwgiFEgRBYYRCCYKgMEKhBEFQGKFQgiAojFAoQRAURiiUIAgKIxRKEASFEQolCILCCIUSBEFhhEIJgqAwQqEEQVAYoVCCICiMotZD6VWY2TBgQYXT7cCreCD2m4FzJVULUtYrMbOJ+OJVz0kakjv+Fzzk6xmSemUgeTObBhyBr+I3ptZzBddhBHAisCewEfBfYA5woaRbq5QbDJwMjAeG4PfS3cBZkubUWYcxwJ/T7madrWjYqN9mVWiGFspc/A/PtnvxlfVHAt8B5pnZNj1XvaDRmNlewMPAUXhkhXl4PKjxwGwz+1GFchviayh/BV+f5xH8BXUAcJeZHdX9te/dNINCmSJpl9w2WpLhb6U/4CE+rktB2t8PHA5sDZzX0xXpjZjZ+sCv8bhO04EPSvqopE2AQ3DF8g0zO7BM8WvxZUlvBYZI2h74IN7S6QNcYmZbN+Ayei3vl4eobtLykUcAb+MB18f2bI2KQdKzkp6Q9HLnuZuSSfjypM8AEyVlIVuQdA1wWdqdnC+Uuie74YHoDpb0aiqzQtKZwFX4+sgndXP9ezVNq1DgXaUyN+2O7Mm6BA1jAd5CuUjS22XOP5LSoSXHJ6Z0ZgVlfUlKP2Nma5Y53xS8L42yddI3pW+UnkgRCifg6+R+HO9vvwM8D9wOnCNppUBjqY/+JWA0/jZcjCuuGcDPJbWVKbMu8GXgs8BwXNk/DVyPG45fq+Viyhllc0bqfwMb47aDY4APp2JzgUuBaZJWWhO0qLr1BiRdi3ddKrF9Sv9ZcjyLEXVXhXL34vfG2knGX7tax3ooMex2xpGSpnVfbZq8hZLCeIwEVgB/LDm3JjAb+BWwH77S/qP4aMAI4IvAA2b2sZJyJyRZ4/CFuh/CldVuwIXALWbWp6TMVriR8HQ8csDz+A29FXAK8FDKs6q04BEGfo53857EH4LRwC+BqaUFGli3HsXMBprZqcCR+G9yZu5cK77wOsBT5cpLWgY8l3a37MaqlrKY9w46lG4v5PI+292VaboWSnqYB+LRB8/GleoZkhaWZP02sDs+IrSPpPtyMj4BzMTf9t8FDkrHB9JxI06QND1XZizwO2BMyj89HV8bmIWHXZ0JHJdFQzSzjfCHf1/g92Y2StJbq3D5G+Dxk76MD48uTzGQLgMOBb5uZj/OhtEbXLceIRlfv4+3vFYHFgHHSrozl20QHc9KNReDV/Cu0vpV8hSKpAeBXcqdM7MP0xGt83RJt3d3fZpBofy5fEDDdzkTD9VRyh54y+X7eWUCIOk+M7uYjrd2hgFr4L4J15aUmW1mU4Ft8dZOxiT8Zn4AOFDS8lyZF83sIDx+9Ai8H39xtYupgYsknZ/7jqVm9hV8hGM1YAd89Ksn6tYT7AB8JLc/CNjPzO6UlHWD18qdX1pFVqZQ16qSpxILOrlP6yINcd8EDMC72qcVJrwKzdDlKfVDmQM8ho/uAHwNOL+0GyJpF1w5XEJ5lqQ0f/MswJvLg4BpZjaqROYPJB1UEqfogJROzz+wuTJvAdel3XGVLrIOZpX5jlfoePMO7MG69QQXAP3x4d+JuFKYDNyebGjgQ8n10JXYNP+getflbuClWgSZ2Vr4/zwUt+0cUc421h00QwtliqS/lB5MYU0nAj8Fjsf9CI7L55G0zMwGmdlovF+8eUo/hjs2QU4pS3rJzM7Ehw4PBw43sxfxCImzgZvKjBBko0tfMLPxFa5ho5QWYat4rsLx7O2avycaXbeGI+lf6eObwBVmNge3e22PdwOn4UPFGWtUEZeN7iypkqcSB9XhKVstTytwDfAJvPs2XlK1VlWhNINCKUsaabnUzDbGm4PHmNlUSYsAzGwd4Cf4TdU3V7QN7wI8COxdRu7JZnY/rqR2xR+4Q9L2jplNB47P+T8MSOmItFVjYCfna2GlEaYSWnKfG123HkeSzOx63NY0hg6F8jZuYxlcpXhmO6mpJdFNnIN7/L4J7C/pxUZ+edMqlBwzcYXSB295LMod3x1/c19AR1fpn6nl8gXKKBQASTcAN6Th1t3wG3Mf/C1+KP6gZoGo30z74yTdWPC1rSq9uW5dwszWAzYDFlZx/ssM9BuBO6+ZmXD717AKcvvi3Sbw0bOGY2ZTcIP7CuCQngjXGwrFf/yMFoDUxdk9HdtXUrlx/iGlB9JQ8wigRdLDkl7H+7Kz8BGUE/Gh2XFmNiC1UkSHYbDsQ5smsg3AH4JGTmTszXXrKvfhXddvA2dVyJM5teW7h/fgCmVH4BdlyuyAP09L8dZrQzGzcXRMtzhR0sxG1wGawyjbGfumtB0P7g7+Bsu4nxKS0WtC2s0r5WNwn42rzKyltBw+ByQjMwJnRtJJ5Twsk2FwJv4gnF35MrqF3ly3rjI7pZNSq+I9JCfAzBidN2DPSOnnUiunlGNTem2jh8/NbDvc+7cVuFxS2cmNjaBpFYqZtZjZZ+mYe3FdzkD3RC7rKfkbL43t30yHTSE/yjMDt1GMBM5NfhxZufWBM9LuPZL+mz5fiDsfDcf9OTbNlflAkrl1ktvoh7Y3162r/Ajvxo4Arkn/CwDJSfEW3Lh6J64sM27DR1oGAL9Lw7KYWauZfQu3kS0j5xDXCNJ/Mgv30L0Fd7jsMZqhy3OBmS0uOdYX7wtvkPbvp+MNg6QHzWwG7nL/dWCimS3ADXJZ6+VWfC2NdcxsXUmvS3ohTWG/Cu/LHm1mT+G/8xb4CMHLwNG573rVzPbHb4o9cH+EeXhXzHBD4Du4o9yjRfwgtdKb69ZVJD1tZp/H/YQ+h3c/hf83mYfrHNzvpj1Xrt3MDgfuAD4FLDSzucAmuK2lHXdtf7xxVwP4KOXG6XMLrvjXoqMFnOdBSVO6szLN0EIZCexcsm2LW+1vxF2tRydfjDwH412Y+/DfaRT+AM0C9pM0lg5X5nd9MCRdjRthrwNew+fLDMXd1acCW0t6LP9Fkv6R6nk6PjltGP7m/zfu+r9die9Kw+jNdesqycA8Cp+/9AJ+PRvi83QmA7uWM9hKeho33J+H21e2wRXRH4FPp/++0ayb+zwWHyjYlZXv+Z15rxNmt9DS3t4Qf5cgCJqAZmihBEHQIEKhBEFQGKFQgiAojFAoQRAURiiUIAgKIxRKEASFEQolCILCCIUSBEFhhEIJgqAwQqEEQVAYoVCCICiMUChBEBRGKJQgCAojFEoQBIURCiUIgsIIhRIEQWGEQgmCoDBCoQRBUBj/B64Fv67O1w5wAAAAAElFTkSuQmCC
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"
|
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>
|
||
</div>
|
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</div>
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</div>
|
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</div>
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</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [31]:</div>
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<div class="inner_cell">
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<div class="input_area">
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">dd</span> <span class="ow">in</span> <span class="n">stuff</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
|
||
<span class="n">baseline</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'base'</span><span class="p">][</span><span class="s1">'max_field_mean_rate'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
|
||
<span class="n">stimulated</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'stim'</span><span class="p">][</span><span class="s1">'max_field_mean_rate'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</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">violinplot</span><span class="p">(</span><span class="n">baseline</span><span class="p">,</span> <span class="n">stimulated</span><span class="p">,</span> <span class="n">xticks</span><span class="o">=</span><span class="n">label</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="n">colors</span><span class="o">=</span><span class="n">colors</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"Mean rate of max field"</span><span class="p">)</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">"(spikes/s)"</span><span class="p">)</span>
|
||
<span class="c1"># plt.ylim(-0.5,25)</span>
|
||
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"max_field_mean_rate</span><span class="si">{key}</span><span class="s2">.svg"</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"max_field_mean_rate</span><span class="si">{key}</span><span class="s2">.png"</span><span class="p">,</span> <span class="n">dpi</span><span class="o">=</span><span class="mi">600</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
|
||
</pre></div>
|
||
|
||
</div>
|
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</div>
|
||
</div>
|
||
|
||
<div class="output_wrapper">
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<div class="output">
|
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|
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|
||
<div class="output_area">
|
||
|
||
<div class="prompt"></div>
|
||
|
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|
||
<div class="output_subarea output_stream output_stdout output_text">
|
||
<pre>U-test: U value 3934.0 p value 0.3348681711667292
|
||
U-test: U value 2022.0 p value 0.3129134904118731
|
||
U-test: U value 1069.0 p value 0.5107849438878747
|
||
</pre>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_area">
|
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||
<div class="prompt"></div>
|
||
|
||
|
||
<div class="output_subarea output_stream output_stderr output_text">
|
||
<pre>/home/mikkel/.virtualenvs/expipe/lib/python3.6/site-packages/numpy/linalg/linalg.py:2125: RuntimeWarning: invalid value encountered in det
|
||
r = _umath_linalg.det(a, signature=signature)
|
||
</pre>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt"></div>
|
||
|
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||
|
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|
||
<div class="output_png output_subarea ">
|
||
<img 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<div class="prompt input_prompt">In [32]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">dd</span> <span class="ow">in</span> <span class="n">stuff</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
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<span class="n">baseline</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'base'</span><span class="p">][</span><span class="s1">'bursty_spike_ratio'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
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<span class="n">stimulated</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'stim'</span><span class="p">][</span><span class="s1">'bursty_spike_ratio'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
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<span class="n">violinplot</span><span class="p">(</span><span class="n">baseline</span><span class="p">,</span> <span class="n">stimulated</span><span class="p">,</span> <span class="n">xticks</span><span class="o">=</span><span class="n">label</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="n">colors</span><span class="o">=</span><span class="n">colors</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"ratio of spikes per burst"</span><span class="p">)</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">""</span><span class="p">)</span>
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<span class="c1"># plt.ylim(-0.03,0.9)</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"bursty_spike_ratio</span><span class="si">{key}</span><span class="s2">.svg"</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"bursty_spike_ratio</span><span class="si">{key}</span><span class="s2">.png"</span><span class="p">,</span> <span class="n">dpi</span><span class="o">=</span><span class="mi">600</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
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</pre></div>
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<pre>U-test: U value 4196.0 p value 0.07625033158277
|
||
U-test: U value 1789.0 p value 0.8457359656438074
|
||
U-test: U value 1312.0 p value 0.008224362184318894
|
||
</pre>
|
||
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<img 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<div class="output_area">
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<div class="output_png output_subarea ">
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<div class="output_area">
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<div class="output_png output_subarea ">
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<div class="prompt input_prompt">In [33]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">dd</span> <span class="ow">in</span> <span class="n">stuff</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
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<span class="n">baseline</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'base'</span><span class="p">][</span><span class="s1">'gridness'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
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<span class="n">stimulated</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'stim'</span><span class="p">][</span><span class="s1">'gridness'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
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<span class="n">violinplot</span><span class="p">(</span><span class="n">baseline</span><span class="p">,</span> <span class="n">stimulated</span><span class="p">,</span> <span class="n">xticks</span><span class="o">=</span><span class="n">label</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="n">colors</span><span class="o">=</span><span class="n">colors</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"Gridness"</span><span class="p">)</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">"Gridness"</span><span class="p">)</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">(</span><span class="o">-</span><span class="mf">0.6</span><span class="p">,</span> <span class="mf">1.5</span><span class="p">)</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"gridness</span><span class="si">{key}</span><span class="s2">.svg"</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"gridness</span><span class="si">{key}</span><span class="s2">.png"</span><span class="p">,</span> <span class="n">dpi</span><span class="o">=</span><span class="mi">600</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
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<pre>U-test: U value 4034.0 p value 0.20303646513670592
|
||
U-test: U value 2195.0 p value 0.05655864319615998
|
||
U-test: U value 1062.0 p value 0.5482183981489739
|
||
</pre>
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<img 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<div class="prompt input_prompt">In [34]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">dd</span> <span class="ow">in</span> <span class="n">stuff</span><span class="o">.</span><span class="n">items</span><span class="p">():</span> <span class="c1">#TODO narrow broad spiking</span>
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<span class="n">baseline</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'base'</span><span class="p">][</span><span class="s1">'speed_score'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
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<span class="n">stimulated</span> <span class="o">=</span> <span class="n">dd</span><span class="p">[</span><span class="s1">'stim'</span><span class="p">][</span><span class="s1">'speed_score'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
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<span class="n">violinplot</span><span class="p">(</span><span class="n">baseline</span><span class="p">,</span> <span class="n">stimulated</span><span class="p">,</span> <span class="n">xticks</span><span class="o">=</span><span class="n">label</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="n">colors</span><span class="o">=</span><span class="n">colors</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"Speed score"</span><span class="p">)</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">"Speed score"</span><span class="p">)</span>
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<span class="c1"># plt.ylim(-0.1, 0.5)</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"speed_score</span><span class="si">{key}</span><span class="s2">.svg"</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
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<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"speed_score</span><span class="si">{key}</span><span class="s2">.png"</span><span class="p">,</span> <span class="n">dpi</span><span class="o">=</span><span class="mi">600</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
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<pre>U-test: U value 4696.0 p value 0.0009136914115846572
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U-test: U value 2276.0 p value 0.019967404084342423
|
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U-test: U value 1192.0 p value 0.09642850317783999
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<img 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<div class="output_area">
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<div class="output_png output_subarea ">
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CtMbtcLVbasdjSzEM73r4cnaNPrX+eWM4AQ4kvAXwHLUcsQa4D3Syl7J3pOo6kkdv9+cIqEOhZhxtuOue/ZRYo923EGDuK5LoY5+1fQZv9vOD6lRancBG2yo9pOlzehwnJK7/NSjobVaDQ1wR7Yh2cXIDTOxogVAtfFs/M4wxP5CbOHZhbC8RdIjqXchdQrUbvEJwL/hgqj+Q8hxNfL7E+jmRFuPoOT6sdzihhWeMw2hmFgWGE8p4jdv6/KFtaGZhbClH+NTdAm7l8z5QwgpdwhpcxLKbdKKT8LfMC/9VF/3VCjqSp2/z48pwimhWFa4zcMRfDsAnb/3uoZV0OaWQh7/GvXBG1Ka4PdQQwopfwx6ridBVwWRJ8azXSw+/dO6A2WUB5hAbuvOTzCZt4sKYWyLJ+gTene5sk6E0IYwCLUeeU1UsrxgrB2AYuBhVM1VKMJCrtvD9gFjPHWB30M3yMs9u2ZsN1soZk9wmf860Vj3fSPwZUCqZ+aQn9LgH3AE8C5E7QrBVM3x1etpq4o9u7FcwoY1uRCiF3A7t1dJctqSzML4e3+9QohhBjj/gf966NSyp2TdeYf0dvk//ihsdoIId6F8gYLqGw0Gk1Vsft2T7xj7GNYEX9qvLcpMok3rRBKKbcAt6DW6+4SQpQCrBFCXAV8yv/xC6OfFUKsEkKsFkIsGnXrX/3re4UQnxFChEc88y7gB/6PX5FSHgroV9FopkyxZxfeFKbGhMJ4jo2bS+GmZn/YazOvEQJ8DDjd/7dJCLEelTKrNH39jJTyd2M895Df5ibgvaUXpZS3CiFOBv4FJaCfFEJsRXmBJdH8LtNL5NAwFBybe7a/xFBxotDMmRExLd62/HTmxJIVG2O24uYzOMM9UxJCwzCPbJgUe3dhtZZ1pqBhaGohlFL2CiEuQmWNeRdwMlAEHgW+KaW8q4w+PyuEeBiVmPVi4AygD7gH+H9Syt8EZX+9cff2dVy//jEyduUKAEWtEDuGevjs+ToufboUe3dNLXTGxwhF8ew8xcM7iS0/pwoW1o6mFkIAKWUa5aFdN41nlk9y//fA78u3qvHI2kXu3vYih7PDhC2LkDH5B236eBzKDPHkgW3sGOphRdvs9lKCpnh4B56dxwhFp/ZAaee4Z1dlDasDml4INcFw/65XOJAewvU8FsbbMMY5zD9TbNdlIJ/lZ5uf5x/PfUtFxpit2Id3+kI4tZyDRjiKl0tRPLy9wpbVnqbdLNEER9YucseWtfTl03TGEhUTQYA5sSQD+QyP7tvMruHZv4gfJMWeHXjFAkZ4ah6hiiXMU+zZUWHLao8WQs2MuW/ny+xPD+K4Lm3hiU4szpyoFSIRitCfz3DzpmcrOtZso9C9bVpTY7VGWMAZ7MbNDlfYutqihVAzIzLFArdvfYHefKri3mCJklf42P7NbB9sjuwoM8UtZFVM4HSE0LQwrBCenafQPVHazsZHC6FmRty9fR0H0oO4nldxb7BE1AqRDCuv8Mebnq7KmI2O2igpgGFiWFPfGjiyc9y9tYLW1R4thJqyGcxnuXPbC/Tm0nRFk1XxBkvMiSYZzGd56uB2Nvbtr9q4jUrx4Ga8Yg5jml9WRjiGV8xTPKSFUKMZk9u3rqU7M4wBtExxAT4oIlaIlnCUvlyaH258qimOgc2EwqEtvhBO7/+TEsIchYOT5h1paLQQasqiOzPMPdtfUt5grLreYImuWJKhQo51PXt59tDOqo/fSBQOSLxiHiM0TY8wFFVCeGjrrK5qp4VQUxY/kU/Tk0sRNk0SU4xLC5qQadERidObS3Hjq2twvdn7QZ0JnutS8KfG5nTXcUMRPM/DzQ1T7NlZEfvqAS2EmmmzfbCHB3e/Sl8uzdxYS028wRKd0QSZYgE5cJDf7dk0+QNNSLFnJ25uGM9zJ806MxrDMI5Oj/e/WiELa48WQs20+eGrT9KXT5MIR4iFJs50XGks02ROLElPNs2PNz1Nzi7W1J56pLB/45GNknK+tJQQZins31gB6+oDLYSaafHC4d08c3AHg/ksXdGWWpsDQHskTtF12DPczy+2r6u1OXVHYe8GvEJ22jvGJcxIDK+Qo7BvQ8CW1Q9aCDVTxvVcfrDxSXpzadoiMSJWJRIrTB/TMOiKJenJpbhty1r682XV2pq15PeuxytmMSPxyRuPgRGO4xayasOlgpmFaokWQs2UeWjPJjb1HSRdzDMnWl/5AFvDUQzgUHaIW6Q+elfCLWQpHNqCW8hhlCmEWGEwDNxChsKB2bkOq4VQMyVydpGbNj3N4WyKObEklllffzqGYTA33kJvLs19O9ezZ7iv1ibVBfm969W02DQnrVw3HoZhYEYSeIUs+d2zc+mhvv6aNXXLL7avY89wP0XXob1cz6LCJEIRYlaI3lyaH746lXpbs5/87nW4hQxGJDGjfoxIHDefIbdLC6GmSenPZ7hty1p6cinmxpKYNQyXmYy5sRYG8hmePLCN9T26UGB+1zq8fBBCmMArZMjvfmlWBlZrIdRMyi3yWQ5lh2pylG66RKwQrZEYvdkU39/4RFMHWXt2QQlXIYM5UyEMx/BcByfdR/HQloAsrB+0EGomZG+qn/t2rqc3l2ZuvLbB01NlTjRJqpjnlb79PL5/dicLmIj83vUqkBpj2oHUozmyTphPk9vxXEAW1g9aCDUT8qNX19CbSxPzE6I2AiHTpCOaoCerjt4VHLvWJtWE3PbncAsZzGgweSKNaEKtE27XQqhpIjb27efx/VsYyGfoitVH8PRU6YwmyDs2O4Z6uH/XK7U2pybktj2Dl0tjBBTqZESTePkUuV0vzLp4Qi2EmjHxPI8fbHyKvlyalnCU6DSSedYDpmHQFVVB1rdufo5McXZ9cCfDyQyS3/cKbiGNGZQQhqJ4GLiZQXKzLIxGC6FmTJ49tJOXevYyVMjR1aDF1NsiMVzP40B6kLu2vVhrc6pKbvszuPkMhhUpO35wNIZhYMaSuPk0uS1rAumzXtBCqDkG13O5adMa+nJpOiJxQlMoBl6PGIbB3FgLPbkUd257oamO3mXlE3i5FEbASxpmtAUvlyK75YlA+601Wgg1x/Dovi3I/kOki3k6ozMLu6g1yVAEE4Pu7DC3b1lba3Oqguc6ZLc8iZsbxgw4MYYRTeIWsxS7t1Ps3R1o37VEC6HmNTiuy83yGXpzKTqjibo7SjddDMOgK9ZCXy7Dr3a+zOFZXpYSIL/7JZxUD57nln++eBwM08KIJHBzKbKbHg2071rS2H/lmsB5aO8mdgz1kHNsOqL1eZRuuiRCYcKmSU82zc+bwCvMvPrIEW+wEnGfZqwFNzdMZtPvA++7Vmgh1BzBdh1u3fwcvbk0ndEEpjE7/jwMw2BOLElfPs0Du16hOzN7vULPdcm8+jBudhgz3lqRMcxYK24+RX73S9hD3RUZo9rMjr90TSA8vFeyc6iXvGPXbWKFckmEIkTMEH25DLdtnb1eYWHfBuy+fXh2IbD4wdEYVhgjHFPT41cfqcgY1UYLoQZQa4M/3/I8ffmSN1j/R+mmy5xYgv58mt/s2kBPNlVrcypC+pUH1bQ41oJRQY/ejLXi5oZJv/JgxcaoJloINQA8fmArO4Z6yds27ZHyUrrXO4lQhLBp0ZtPc+e2F2ptTuB4rktmw29xs4OY8baKjmXG23Bzw+R3rcMeOFDRsaqBFkINnudx+5a19OfStEfjs2ZtcCw6owkGchl+vWsDQ4Vcrc0JlNzO57EHDuA5NkaF68mo6XFceYXrf1PRsarB7P2L10yZtd27kQOHyNgFOmbZ2uBoEqEIpmHQm0tx746Xa21OoKRfuh83M4gZa61KliAz3oabHST98q/xPK/i41USLYQa7tr+IgP5DG2RWMPHDU6GYRh0RhP0+3GFsyUzjZvPkNn4sJoWJ9qrMqYZb1N1TA5ubviax7P7r14zKdsHe1jbvYuhQo6OBj9FMlVawlEcz+VAepBH9spamxMImVcfxkn1gmFihKvj1RumpTZNskOkX7qvKmNWCi2ETc69O15isJAj6W8kNAOGYdARTTCQz/LLHS83/LQOIPXCPbiZAcx4e1WT55rxdtzMAOmXH2jo1FxaCJuY4UKOh/ZKBvOZpvEGS7SFY2TsApsHDvFK7/5amzMjiod3kN/5ggqbqdK0uIQRTYLn4QwdIrPxoaqOHSRaCJuYB/e8ykA+g2WYxBos3+BMsUyTtnCMwUKW+3atr7U5MyL1wj042UHMaDKwlFtTxTAMzEQ7TnqA1NpfVHXsINFC2KR4nsf9O19hsJClPRJviFokQdMWjTFUyPHE/q0Nm6LLLeZJvXgvbnoAM9FRExvMRAdubojcjucpdG+viQ0zRQthk/JK7352DfeSs4u0Ruq7Ml2liFkqGcNgIcdDezbV2pyyyLzyW5zBQ+C5FY8dHA/DCmNGW3AyA6Sev7MmNswULYRNygO7NzBYyNISjs7qAOrJaAvHGSpk+e3ujQ23aeJ5HsPP3YGT7sNMdtbUqzeTnbjpflLrfoXbgN51834CmpisXeDJA9sYLuRom+UB1JPRGomStYvsGOph80BjZVIp7F1Pfs/LuPk0Zry6mySjMSIJMAycocOkX/pVTW0pBy2ETchTB7YzkM9gGEbTbZKMxjRMWsJRhot5HtrbWNPj4Wd+jpvux4y3YtT4/6NhGL5X2MfwMz/Hc92a2jNdtBA2IY/skwwXcrSGY025STKa1nCU4UKOx/dvwWmQD7A91E16w+9wMgOYyTm1NgcAM96BW8hSOLSV3LbGKu6khbDJGMhneKF7N6lintZwc26SjCYRiuB4Lt2ZYdb17K21OVNi+JnbcNP9GKEoZrg+sgUZpql2kNN9DK25pdbmTAsthE3GUwe2kyrmCZsWkSafFpcwDIOWcJRUMc/j+7fU2pxJcfMZUs/fiZPqxWqpD2+whJWcg5MZJLd1DYWDm2ttzpTRQthkPHlgG6linhbtDb6GlpASwjUHt9f99Dj14j3Yg4cAahYyMx5GKIwZa8VJ9zP01E9rbc6U0ULYRKSKedb17CGthfAY4qEwjuvSm0uxoa9+j9x5js3wmltwU72YyTl1ucZrJufgpvtJr3/giGDXO00/NxJCJIB/AK4EVgDDwFrgG1LKX5fZ5/nA3wGXAQuBLLARuBW4XkpZk9Ppa7t3kS7mCZmmnhaPwjAMEuEI6WKBZw7t4HVzl9TapDHJbHiQ4uGduHaecJXPFU8VMxLHCUVxU30Mr7mFzrf8fa1NmpSm9giFEEngYeBzwEpgA5AG3gzcL4T4XBl9/h2wBvhrYC7wKpACLgT+G3hMCFHZPOrj8OyhnaSLBZIh7Q2ORWmd8JmDO2ttyph4nsfQkz9Ra4PJORWtSTJTrJYunFQvw2vvxskO1dqcSanfd7I6fBu4AFgHrJJSni2lPB64BrCB64QQfzDVzoQQlwBfR72vXwU6pZRnSCmPA94I7PfHuyHYX2NyXM/l+e5dpO08iXCk2sM3BIlQmLxTZE+qj/3pwVqbcwy5rU+R37dRBVAnO2ttzoQY0SSYJs5QN6lnb6u1OZPStEIohFgFXAW4wLullHtK96SUPwG+7P943TS6/SRgAPdKKT8lpcyP6PMR4D3+j1cKIZbOwPxps3XwMH25NI7rEq9yhpJGwTRMYlaYjF1kbfeuWptzDIOP/Qgn1YuZ7MCo89yRhmFgtczFSfUw9PTPcAvZWps0IU0rhMDVgAWskVJuHOP+9f71EiHEsin2+Qb/eus49x9CrUECnDvFPgPhhe7dZOwC8VCkLhfY64VEKEKmmGfd4T2TN64iuV0vktu5Fjc7hFUnAdSTYcRawXWx+/eTWnt3rc2ZkGYWwov86xNj3ZRS7gNKbsHlk3UmhDCBvwKuBR4fp9lIBarqV/pLPXvJ2AUSIe0NTkQiFCFjF3mpdy+uVz9hNEOP/Qg31YcZb6t6zsFyMQwDs6VLeYVP3VzXGaybeevwBP+6bYI2O4HjgZMm60xK6QIPTNLsLUCr/98bJuszKAqOzca+A2TtIl3RZLWGbUiiVgjXcxnMZ9k22MOJHfNrbRL5fRvJbn4CJzNAeN6KWpszLcxEO26qB7tnN6l1v6L13HfU2qQxaWaPsPQXfniCNr3+de5MBxNCtABf8398XkpZtbJfWy4dqBIAACAASURBVAa6SdlqubJZ6pKUi2EYxENhsnaR9b37am0OAENP3KRSbcVaMEKNtdFlGCZm0vcKn/wxnuvU2qQxaWYhLBXpmKjKd2mFd0YFPYQQEeA2QAAO8PGZ9DddNvYdIGcXiVthvT44BeKhCFm7wMa+A7U2hUL3djIbfoeT7sdqmfH3cU0wEx24xRzFQ9vqthh8MwvhdL6ays7YKYSIA3cDb/Vf+gcp5ZPl9lcOG/vVtDim1wenRMwKkfOXE2qdrHXo8Rtx0v2qHkmDngYyTFOdQU71MvT4jXWZoquZhTDlXydK3VHKWlpWyl0hxHxUwPYf+S/9q5TyaxM8Ejie5yH7D5FzisQaZJG91kStMAXXpjeXpjs7PPkDFaLYt5f0+gfUtLhBvcESZrITN5+mcECS3fRIrc05hmYWwh7/2jVBm9Jf37RTFwshTgaeQZ0o8YD/I6Wc9kmVmdKdHaY3l6boOkT1sbopYRoGUTNE3imyeaB2Z2WHnrhJxQ2GY5iR+ki1VS6GafleYQ+Dj/2o5p72aJpZCEubFcsnaFO6N618QkKIK4Cn/OdzwLuklF+flnUBsXWgm7xTJGqGMPX64JSJhcLkHLtm6fvtwUOk192rkiu0NrY3WMJMduLmUuT3vkJu61O1Nuc1NLMQPuNfLxrrphBiCVAKpJ7y/zUhxOXA/UAHatf5jVLKO2Zg54zYNtRD3rG1NzhNSh7h9sGeyRtXgKGnbsYZ7oVQFDMyo726usGwQpiJDpxUL4OP/bCuvMJmFsLb/esVQggxxv0P+tdHpZQ7p9KhEGIFcA9qbXEvcImUsqY5y7cPHtZCWAZRK0TesdkxVH0hdFJ9pNberZIrzBJvsITV0oWbHSK38wXyu16stTlHqJgQCiFMIcS5QoirhBAf8V8L+2JRc6SUW4BbUCc87hJClAKsEUJcBXzK//ELo58VQqwSQqwWQiwadev7QDsq7OZtUkpZEeOnwa7hPvKOrdNuTZOIFaLoOvTl0wxUuTzl8DM/xxk6DKalqsPNIgwrhBlvx031Mvj4j2ptzhEq8ukQQrwP+Dxw3IiXv4U6pfGqEOLnwAeklBPF8FWDjwGn+/82CSHWA50oOwE+I6X83RjPPeS3uQl4L4AQ4lxUhhlQu8zfGdvRPMIXy813OFWydoGDmSG1UWJqIZwOpmEQMiwKjsPu4T46otURJDeXUkKY6sFqnT8r4z6tljkUD+8gt/lJ8vtfJbr45FqbFLxHKIT4EsozWoLaLbVH3F6C8sD+J/CAEKKmn04pZS9qjfDzqA2Rk1G7yI8C75RSfmka3Y08j9wFXDLJvwUztX8y9qcHKboOpmFgmc28ClIeEcui6NrsTQ1Ubczh5+7AHjwIGBix+krDHxRGKOKn8+9j6Imbam0OELBHKIR4A/BpVHLTT6CmnvcDFwNIKX8vhLga+H+o7M3XAt8J0obpIqVMo1JtXTeNZ5aP8dp/Af8VlF1BsDfVT9Fx9LG6MomYyiPcl+6vynieXWD46VtVyExL16z0BktYLV0Ue3eS2fAQxd7dhLummuCpMgTtJnwM5QW+X0p5g5TymGhUKeVPUSmwDODdAY+vGUFpWqyFsDzCpkXRdTiYqU5QdWrdr7D79oJrY8ZrksS8ahhhtRvupPsYevIntTYncCG8CDgopbx9okZSyntQ2ZpPDXh8zQgOaSGcEUeFsPLZqj3XZXjNT/3Eq7PbGyxhJrtw032k192Hk+qd/IFK2hJwf53AVFN27OPoETZNBTicTWG7DiG9PlgWIdPCdl16sqnJG8+QrHyMwsGtuMUcZqKj4uPVA0YkDlZY1TapcTr/oD8hvagiSBMihDBQFeNqE63aJPRkU9ieS9jQHmE5hEwT23MYKuTIO/bkD8yAoaduxkn3YiU6MJrki8swjCPJGIafvaOm6fyDfsefAjqFEFdO0u49qHO8NQ02nu0MFDLYrqt3jMvExMDAwPVc+isYS5jf+wr5nS/gZocxGyQNf1AYsVbwXOzBA6Rfuq9mdgT9CfkmahPk20KIPxl90w+y/htU9TiPo3VBNAHjei5DhRyO52I1wXpTJTAMA8swsD23okHVw0//DCfTjxlrxWiywHeVzn+OqoH89M9qlqIrUCGUUj6GX8YSuFsIMQCcAyCEeBboA76LWhv83jjBypoASBULOJ6L53lYdVz/tt6xDBPX9UgV8pM3LgN7qJv0hgdx0/2YLc3lDZYw4x24hSyFQ1vIbXu6NjYE3aGU8tPAh1Ap8NtQ+f4MVNW2NmAI+LSU8oPjdqKZMeliHtfzMAyjKXYgK4VpGDieS9qujBCmnr8LN92vkiuEGzvVVrkYpqmyWKf7a7ZpUhE/XEp5gxDih6hA6tNQ52/TgAQek1JW9/BmE5K1C7iep1NvzRDTMHA9j0wFKrB5dpHUC7/w0/BPlBZz9mMlOyke3kF285MU+/cR7jxu8ocCJOiTJTcDO4CvSClTqKNqjwY5hmZq5Bwbz/Mw0EI4EwzDwMOj4ARfdCiz6ffYffvwHFttGjQxRiiCEYnjZgZIPXcnnW/+WFXHD3pq/Fbgb5m4IJKmCtiug4eHqXVwRhgYeB4U3eDDZ1Jr78bJ9KuQGe25YyU7cdL9pNbdW/UayEELYRzYLaWsbNCVZlJcz0PlvdQfsJlQevfcgJOIFvv2ktv2jAqZaZIA6skwoi14noMzcJCMfKyqYwcthI8Ap42T6FRTReon92/j4+EFLoTpF+/FzQ5hRuIYurog4IcrxdtxMgOkX/hlVccOerPkA8BvgceFEN8GngQOcLQ+8DFIKbcHbIMGsAwDNdvSkjgTPNT0OMhjip7rknrpVziZgabfJBmNmehQmyZb12APdRNqm1+VcYMWwrVAFBVH+NkptPcqYIMGdTystL6lmRmGAVaAxxTzO9di9+3FcwqzNudguRihCEY4hpsbIrP+AdouuaYq4wY9NV6IEkFQyyuT/dORvhUiZoUxDANXe4QzwvV33oOs+ZJe/wBudhAz1oahg92PwYy34WYGSb9U0QTuryFob6wu6pFoVJFy0zDqqlJYI+L5sZixgNbxPLtAZuNDuJkhrI7FgfQ52zDjbRSHDlE4ICl0byMyf1XFxwxUCKWUu4LsT1M+LeHokWBgzz9hEgT5weokKZ0J0fbgYvLUWW2T1nA0kP5y25/FSfXh4ak0VJpjMEwLM5rEzQ2T2fhQ4wnhaIQQpwACaAWGgS1SylcqOaZG0RKOquwphoHjeYQCEsKHr/lMIP1Ukrfe883A+nJ8j7A1Eszxt/SGh9RucaxVxw5OgBFrxc0Okdn4MB1XXFvx8SpVxe7PgK8AJ4xxbw/wycmyWGtmhmWatEXiWIaJ47mE9HLstPE8T3mEphlIFTvPdchufhw3N4zVProSrGYkZqyV4uBBige3UOzdQ7hraWXHC7pDIcTHgTuBE1EbIsOotPwZ/+dlwM+EEJ8IemzNa5kTS6jkom7wx8OaAdfz8FDZe+YEIIT5PetxhnvwXEdPiyfBMC2McBw3nyK75YmKjxeoEAohzgL+EyV4NwAnSSk7pJRLpZStwCmoUp8G8CUhxBlBjq95LXNjLb4Q1ibHW6Njew4hw6I9EicSwK5xdsuTuLkUZjSpp8VTwIy14OZSZDc/WfGxgp4a/z1KXP9VSnnd6JtSyk3AtUKIA8C/AB9GnU3WVIAFiTZVgMgLziN844+/GFhf9U7RdQmbFgsSwWy+5LauwcunMOLtgfQ32zGjLRRTveR3vYBbzGMGtGE1FkEL4eXAIDDZp+WLwN8Bbwx4fM0IFibbCZsWmWJwB9iD3JGtd1QFQJNFyZkLl5MdonBwM24hQ1iHzUyNUAQwcHMpCnteJrbyvIoNFfQa4QJgs5SyOFEjKWUBlZuwuknHmowlyQ4iZoiiXiMsi4JjE7FCLEl2Tt54EvK7XsQrZDCscNOl4y8XwzAwowncQobczrUVHStoIcygijJNhXlMcAZZM3OWtnQStiwKrqMDq8ug4DpEzBBLWoMQwnW4+QxGZOabLs2EEUni5TPkd71Y0XGCFsKXgOVCiMsmaiSEuBxYDrwc8PiaESxMtpEIRTANQ3uF08TzPN8jtDi+dea1RPL7NuAVs3q3eJqYkTheMUvhgKxoYaeghfBm1I7wz4QQF4zVQAhxIXArKuHCzQGPrxmBaZgc3zqHqBWqeF3e2YbtqQ9dzAqzpGVmHqHnOhQOvIpXyGKGtRBOi1AEz3VxsoMUe3ZWbpiA+/sR8H7gIuApv3LdWtQGSjuqot35KLF8Ergx4PE1ozihfT5rDm4n79g0zzbHzMk5RaJWmOVtXYTNmWWeKfbsws2l1PJEKBKQhc2BYRgY4RheMUdh/0Yi81dWZJygzxq7Qoi3ALcAbwMuQAlfiVLw1P3A1VJKPV+rMCd2zCdmhStal3c2krdtYqEQJ3bMPB9esXsbXjGPEY7q+MEyMMJRvGKe4uEdFRsj8O0rKeUw8Mf+FPjtwGpUGc9hYBNwr5SyNsVLmxDRuYCYFSZfKuakP4hTIucU6YgmWN25cMZ9FXt24Nl5DO0NloURiuIVMhS7K5fDuWL7+L7YvUbwhBCtvlBqqsTxrXNojahMNAXXJmrptPCT4XkeOccmFgojOhfMuD+7ZxeeXcAIVS4geDZjhCK4mf6KrhFW5CS+EOIDQognhBCjP3U3CCG2CyH0aZIqYRomqzsXEguFydoThndqfPKOTcgw6YjEWTrDjRIAe/AgOEUM/SVUFoYVwXNsnKHuiu0cB33W2BBC/Bh1zvgijs0+sxIVNvMdIcT3gxxbMz6ndi0mbkW0EE6RrFMkFgpzatdizAAySNsDB/CcImghLA8rBK6DV8zjZvorMkTQHuHfAFeh6hr/M7Bn1P0/Az4OpIH3CSHeEfD4mjF4XddxxMNhsk5RB1ZPgYxdIBGKcFrXzA8+ea6Lk+rF0x5h2RiGgWGF8Nwi9uChiowR9Brh+1DxgX8upfzt6JtSyoPAN4UQm1E7xx8C7grYBs0oROdCWsMqsWjBdQKtvzHb8DyPnF1kfryVM+cumXF/bm4YXAc8D2YYhtPUmBa4Dm52sDLdB9zfacD2sURwJFLKB1De4rkBj68Zg7BpceqcxSRCETJ2cAkYZiM5x8YyTTqjCVa0zbzUppsdxHMdMEy9Yz8TDAvPddQXSwUIWghDwMAU2x4Cgsl/rpmUs+Yt1UI4BUrT4rPmLQtkfVB5hC6G9gZnhGFa4Lq42aGK9B+0EO4GThFCTHiIQQgRR8UXHgh4fM04nD1vGYmw2jBx9TrhuJSE8Ox5waSG9+wi4KniyJryMQzAU5tOFSBoIfw1EAe+MUm7rwJJ4MGAx9eMw4q2LhbEVaJWvXs8No7rkndsEqEI58w/PphOXVutD6KFcGYY6n2skBAGvWr+LeADwHuFEAKVlv8lIIWqZHca6izyZUAeldZfUwUMw+Cc+cuQAwfJ2HmSYX3KYTRpu0A8FGZV+zzmxlsC6dPzXNT+oWZGGODhqfXWChCoRyil3A68B5Vn8GLgB8DzqKN1z6GSMrweKADXSCm3BDm+ZmLOW7CcZChKuljQYTRjkLbzJEIRzluwPLA+DTOE8gb1+z0jPA8DA8OqzBd44CdLpJR3A69DBVXvR/0VlP4dBm4CzpZS3hH02JqJOXveUlojURw8nZ9wFJ7nkSkWSIajnL8goGkxqNhBw5/WacrHU+usRqgysZgVCSjzPcMPAR8SQkSBLiAtpaxMEJBmSsRDEc6Yu5S9qQHSdiGQymyzhaxTJGRazI21BJJooYQRjoJh+lNkTdl4ngpBqtB57Yp/EqSUeZRnqKkDLli4gkf3baY/n6EzgFq9s4V0Ua2bnrfg+EDCZkqYsbYjoR9BZv/pTdf/hldXMjjvzfMcME3MeFtgfY6kIkIohFgMdEopN4x47ePA1YAF3Ad8SUqZrsT4mvG5cMEKEqEIBzND2K5DSMe34XkeqWKBhYk2LloYbOJPM9EBhgl4R6Z3QXDOf64LpJ9KsvNzAVadcx0MM6TezwoQ+BqhEOLzwE7gEyNe+yfgv4CzUOuHnwYeFELoT2GVmRtvQXQuIBGKkA6wzGcjU3BtPDzaojHOnrcs0L7NSAwjHPO9Ql0uoVw8xwbTwqxQTeigs8+8DVW4PYSKJ8RfI/wHv8m9KIHci8pe/b+CHF8zNS5auJJkOErKztfalLogVSzQEo5y7rzjiVVgMT7UPh+scMWCgWc7nuuA52KYIULtwa3fjqQS2Wc84B+llFf6r70JlaH6EPAOKeXXgD/y7115bBeaSnPJolW0+KdMHL2IT6qYJxmOcvGiVRXp32pfhKGFsHz8zD1moh2zQuvaQa8RXoAKkfnqiNfe4l/vL9UokVJuEEJsQwVY1xQhRALlsV4JrECVFFgLfENK+euAxrjV7/9EKeXWIPqcCUtb57C8bS4H0kOkiwXaIs175Lvg2NiuQ0s4yvkBxg+OJNSxWIV9BHiiZ+0nzgysr3qnlMKsUt4gBC+Ec4F1UsqRQVN/gPISHxnVdhAILmCrDIQQSeAhlIAXgVdQoT5vBt4shLhOSvn5GY7xQerQ87144UrW9+wjVcw3tRCWvMEz5y6ltULvQ3juMoxQFDeXCqzPIHdk6x3PLkAoQnju8oqNEfTUOAsc2dYRQixBJVeAY4VwGUoMa8m3USK4DlglpTxbSnk8cA1gA9cJIf6g3M79nfLvBGJpwFy6+ARaIlEydqGpkzCkinlawlEuqdC0GCA8byVGKKI+0JppU6oAGJ63omJjBC2ErwAnCCFO8X++yr+ul1IeiSUUQlwFzANeDnj8KSOEWIWyzwXeLaU8kk1bSvkT4Mv+j9eV0fciIcQdwNep09P2K9vmsiTZQdQKkS4256ZJ0XUo+tPiixZVpl4uQHjeClWJzS7owOoyUBUAG0sIf4r64D8shLgL+DxqWnwjKA9RCPFN1BlkD/hxwONPh1JM4xop5cYx7l/vXy8RQkw5pkII8efAFuCdQD/wv2dqaCUwDINLFp9ASxPvHpemxad3HVfR4HKrfSFmslOlm2/SL51y8TwXr5jHDMeILFo9+QNlErQQ3oBKvT8fVZ8kDDyKykoDcBzwEf/170kpaymEF/nXJ8a6KaXcB+zyf7x8Gv2eASRQXwqnoEoS1CWX+UKYLjbn9Lg0Lb5s8egaY8FiGAaRRasxInG8Yq6iY802vGIewwphJjuxOhZVbJygs8+4Usq/AN6KCpp+J/CHUspSJKkEfgG8U0r5wSDHLoPSX/+2Cdrs9K8nTaPfx4AzpJRX+TVa6pYT2+dzXIuaHjdb5uqi65B37IqGzYwkuvgUjHBMC+E08Yo5jEhcfZFUMLltpZIu/Ab4zRivDwD1Urluvn89PEGbXv86d6qdSikfLtuiKmMYBpcuOgHZf4hUMUdLuHkKkKf8s8Wndx3HnFiy4uNFlp6GGYljZ6ZayUID4BUymJE40WWvq+g4FSnw3iCUFoUm+orOjmo767hkUXNOj9W0OFbR3eKRRJediRGO4zlFdVxMMyW8QhYjkiC6rLJxk80shNNJyDdrFWJ15wIWJdsJW1bTTI/t0rQ4FKmaEFrxNsLzV2KG43iFTFXGbHQ8u4jnOhiRONHjKnv2opmFsBTdOlEUbdy/ztq/3NL0uDUcI9UkO5rDxTzJUIRTuxYHlpJ/KsRWnIsRTeBqIZwSbiGNGU0QXXJaxY7WlWhmIezxrxMVry2tDXZX2JaacumR3eN8U0yPU8U8LZFYxXeLRxNbcR5mNImX19nnpoKXT2NEk8RWVL78eTML4av+dfkEbUr3NlfUkhqzunMBCxPNMT2uxbS4RGz5ORjRJJ5j+2U+NePheR5uPo0ZSRJbeX7Fx2tmIXzGv1401k3/eGApkPqpqlhUI0zD5NLFq2hpgulx6si0eBHz4hOW3w4cM97qT/OSuPngzh3PRrxiDsMwMJMdRJdUdscYmlsIb/evV/ilR0dTinN8VEq5szom1Y5LFx2dHs/mCndHzxZXd1pcIn7Cxf70WAvhRKhpcQvxledXrGDTSJpWCP1SoregjtndJYQ48snwz0J/yv/xC6OfFUKsEkKsFkJULtS9ypw8ZyEL4q2EzNk7PbZdl5wfRF3taXGJ+ImXYMRacPMZfe54Atx8CjPWQuyEMSdsgVN2QLUQ4l8DGN+TUn4ugH7K5WPA6f6/TUKI9UAnR9ODfUZK+bsxnnvIb3MT8N4q2FlxTMPkokWr2Dp4+MgZ3NlGupgnEQojOhewIFGZIkCTEV54EqGORdh9e/DyGYxY9XatGwXPsfGKOcxokvhJl1ZlzJmcLPlnZhZfV6p6XTMhlFL2CiEuAj4JvAs4GZWX8FHgm1LKu2plWy24ZNEq7t7+IvtSA4FWXKsXUnae1nCsKkfqxsMwTeInXUZh/6tHvB7Na3HzKcxIkshxpxJqmz/5AwEwEyF8jLGFcBFHz+ZuROX660fF5J0KlLaAHgG2z2D8QPAr6V3HNNJtSSmXT6PtTuo0FddoXtd1HHNjLRxID5J1iiRCkVqbFBiO55K1VaW6S2u0Plgisfr1DD99C3bfXry2BbPuC2emeLlhzFhL1bxBmIEQSimvGP2aEGIBKs39XlSOv8fHaPM64E5UlhZdvKmOsEyTCxeuYMdQD6liflYJYbpYIB6KsKJtLse1VKYk5FSJrTgPMzkH+vYeSSqgUXiui5tPE2pfRGL1FVUbN+jNkn9DeYTvGEsEAaSUL6NSdHUCXwx4fM0MuWjhylm5e6zCZmq3STISIxRRu8exVrzccK3NqSu8fAojHCPUtZTwgup57kEL4dsBKaV8fqJGfuH3Dah6Jpo64ux5y2iPqONM+VmSHMD1PDK2KtkZdAH3ckmcfAVmrBVXC+FrcHMpzFgriZPfUNUlg6CFsI2Js7mMxABm39ZkgxOxQpwzfxnJcJT0LMlcnbELRCyLhck2VrXPq7U5AMRPuhQz0Y7nOjprtY/nebi54SNCWE2CFsKdwGlCiAmr0wkhzkBtnGwJeHxNAJQKwKeLsyOeMO1Piy9cuLJuNibMaJLYygu0VzgCL5/GCIUJdSwisuT0qo4dtBDehtqAuVsIsXysBr4I3s2IWiaa+uK8BctJhiJHihs1Mp7nkfanxRcsqFzxn3JInPIGXwiHam1KXTDSGzTM6p71CDpD9X8D/xM4E9gshHgcVdkuhZo2nwVciBLgJzhaIElTR7RFYpwyZxH704OkiwU6oo27q5l3bAygPRrn9K7FtTbnNcTF5ZixFuz+fXh2AWMW7dJPl9K0ODz3+KpPiyH4miWDqOLov0OJ7BtQxZo+DXwYuNgf81bgj6WUOgVHnXL+guUkwxEyDb5OmLYLJMNRzpq3jIhVkcoUZWMl2omtPE9Pj1Ep+Q3TItS2gOjys6s+fuB/GX594DcLIc5D7SILVKhML6p4051SyleCHlcTLOctWE4yHOVwNoXreZh1srY2XTJ2gc5ogvPnT7hsXTMSp7yJzMaHcYZ7sFomSo05u3GzQ5jxVuKrr8AwraqPX7GvSCnlc8BzlepfU1mWt3axIN7GvtQAObtIItx40zbHdcn7J2TOqVchXH0FZrQFu38/nl2sSqaVeuPItLhrGYlTqj8thgpnnxFCzBVCXCqEeLv/syGE0IcrGwDDMDh7/lKS4QjpBs1Gk7ELxCx1mqSaKfmng9Uyh9jyszFjLU07PfYKWQzTxGqdS2x55bNRj0VFhFAI8SYhxBrgECqBwS/8W8uBvUKILwghGnOu1UScPW8ZiVCkYdNyZewCiXCEc+Yvm7xxDYmf3Ny7x25uCDPWRly8vmYeceBCKIT436iaxheggqZL/wCWonaP/xG1YaKpY86cu5S4H0ZjN1gYjed5ZOwiiVCYM+curbU5E5I45Y2Y0Ra8Yq7pSn16nucnWWglccoba2ZHoEIohDgL+AbgAl9F5flbM6LJc8C/oEpp/qUQ4t1Bjq8JlvZonJXtc4mHwmQbrMaG7bq4nkvCr1ZXz4Ta5hNdejpmtPmmx15RHUQzW+YQX3VhzewI2iP8hN/n30spP+2fKT6ShldKmZVSfhEVSmMA7wt4fE3AnNG1hLjVeEKYcVS2GdG5kHgDbEAcDa5uLiE8EkR90qU1jaMMWggvB/qA70zS7gfAYVTgtaaOOX3uccRDEbJOY60TZu0i8VCY13UdV2tTpkT85DdixlrwChm8BluGKJej0+I24qsvr6ktQQvhPGC7lHLC/E3+/Z1AdcuIaabNqXMWEw2FKLoutts4NTZKQnhanU+LS4TnLCGy8CTMSAI31ySFnewCuA5moo34iZfU1JSghXCAoyUwJ+M4v72mjmmLxDi+tYuoFSLnNMb02HYdHM8lZoU5ubNx6mvF/dRczZKj0M0NY8Raia08HzOarKktQQvh88B8IcSEeQb9uMLFfntNnXOyv86Wa5B1wpxjE7NCrGib21CB4ImT3+BXuEvhNZD3XS6un5K/mpmoxyNoIfwuahPk+36WmWMQQrwJ+BEq+8yPAh5fUwFO7lxIzAo3jEeYs4vEQmFWdy6stSnTIrzgRMJzlmKEoniFdK3NqSieU8SzC5jRFuLi9bU2J/CkC/egagUvA17wy2OeBiCEuE0IsQH4LdAF/EpKeUeQ42sqw4kdC4haIfKO3RDp+3NOkZgV5qSO6lRACwrDMIivvrwpdo/d3DBmNEl02RlYLXNqbU5FTpa8B/gKUEAlX21HeYl/gSqX6aLSb72rAmNrKsDxrXNIhqMYhlH3+Qk9zyPv2EStECc2mBACJMTrfSFMNcSXTrmolPwtJFbX3huEymSfcYB/FEJ8HXgryiNsB9Ko7DP3Syl3Bz2upnJYpsnKtrnsGOoh79h1l85qJEV/bS0RirCstfaexnSJHn8WVsscVQC+mMXw68fMJjzXwStkMDsXExe1DZspUcnsM93ATZXqX1NdVrbP44kDe11h3QAAIABJREFUW8k7dl3HPBVcm6gV5vi2LkI1SOc0UwwrRPzEiyl2b8PLpWA2CmE+jRGOEZ63gvDc+sgKVDEhFEKYwNnAaqBDSvktIUQYWCKl3FGpcTWVYUWbCqEZKky1NldtKE2LV7Q1bm6/+EmXMbz2FziDh7DaGm96PxmlaXH8xOoVcJ+MSmWfeR8qYPoZlFf43/6t41Ep/G8WQsQqMbamMqxo6yJihijUeVKAgj91X946t9amlE3sxItVEganiNcgIUtTxfM83HwKM9pKXFxWa3OOUInsM18Cvg8sQYXIjPzkLAEsVF2TB4QQ9bvYpHkNS1vmELEsbE8lM6hX8q5N1LI4vq3x1gdLWPE2YsefiRlN4uZn1+6xV8xhGCZWSyfRZfVzwjbo7DNvQNUnyQAfQqXof7Z0X0r5e+Bq1MbJZcC1QY6vqRytkRhzYi2ETYuCU587x57nUXQcImaIZXUQkjET4iddos4e52ZXPKGXV9Pi2KoLMepo0y1oj/BjKC/w/VLKG6SUx3ydSSl/ihJDA9BpuBqIpS2danpcpyE0RdfBMk2S4Qhdsdoe2ZopsRMvUWm5Cmm8OvbAp4ubS2FEW2p+tng0QQvhRcBBKeXtEzXyA6/3o+IMNQ3CkpYOIpZFwa3PdcKC6xAxLY5r6aybQu7lEp63klDnYnXKJJ+ptTmB4Dk2np3HjCZmvRB2Avum2HYf0LgFc5uQxckOwqZFsU6nxkXXIWKFWJxsr7UpM8YwDN8rTOLmZ0c2GjefwowkiCw+pS5Ok4wkaCHsBVZO1sivV7IC6Al4fE0FWZxsJ2KG6vZ0SdFxCJsWi5MdtTYlEOInXKTWCfOzY53Qy6cxYi3ET7yo1qYcQ9BC+BTQKYS4cpJ27wHm8to0/po654hH6Dp1efyr6JaEsPE9QoDYyvMxoi3qJEaDFtAqocJm0irJQp1NiyF4IfwmahPk20KIPxl9UwhhCiH+Bvg2alPl+oDH11SQBYk2LNPEA9w6FMKCL4QLE221NiUQzGhChdFEEg0/PT4aNjOHyHH1tzUQdPaZx1BFmzqBu4UQA8A5AEKIZ1Fp/L+LWhv8npTyd0GOr6ksUStEVyxJyDTrbnrseR72ESGcHR4hQGyWTI+PhM2sPB+jDo8+Bh5QLaX8NCqG8DCqdGcM5SWe6/88BHxaSvnBoMfWVJ4FibYj0+N6wvZcTMMgaoWYE5s953PjJ1yEEU3i5jMNHUbj5tMY0STxE+pvfRAqdNZYSnmDEOKHwMUcm33mMSnl7IgHaEIW1qkQltYH58VbMY2KnBytCeEFJxJqX4DduwevkMWocUr7cvBcB6+Yw4wkidWwZOdEVDL7TBF41P+nmSXUq0dYEsKFydmxPljCMAxiqy6ksP9VNT1uRCHMpzHDccILVhFqX1Brc8akktlnFgJ/DJwEdADdwAbg3rFOnGgagwXxVkKmRabOdjFt1yFkWiyIzy4hBIivuoDhZ2/DGerGovGy0RyZFtepNwgVEEIhRCtqw+QDHF2DNFC7xAD/v70zj5Lkqu70F5GRW2VVV1d39VK9qZfqvlpaVgNaWmrJEhgDgwaGZbAtkIQQEmCzmLFnBgwaLPBgmTODscEM2IARSGhkzCKBgDEaNpt1NEKAAHG1ILQbIQkt3V1VuYX/eJHdqerK2nKJyIz7nVMnMjPivbhZlfXL+969774ZEbkMuExVk7lEwWiJ8wiTFyyp1N2udYMSMW6msP0U/NwQ1WqZsFZN1BrdhQjDkHDmAJmxjRR2nBK3OS3p6G9URPLAF4B9OPG7E/gRsB83T3gCsBm4FOcpntfJ+xvdZ31plKyfoRrlEiZlKVulXmMkW2DdAAphZngVuYmjqT5yr0tK7qeoeK1MGNbxiyvIH/XUuK1pSae/Wl4NnA78EjhfVa+ffUG0leffAy8VkWttA6f+Yk1hmMDP4OFRC+sEXjJSISr1GtnM4M0RNijs2MvU7d9xScl9JIQuibpE/qg9+LnkliDtdHjtAtwQ+AVziSCAql6H27jJw6XZGH1ExvcPzRMmpQpNPQydKPv+QOUQNlPccUq07vhAIlf1tCKMhLCY4GExdF4IJ4Gfqer35rsoqkt4G26obPQZE6WV5BIUOa7UawSez0i2wEg2H7c5XSG/5QT84go8QkhYoKoVblndQbx8ctNmGnRaCMs8uSL1fOyni1Fro3tMlEbJZpIlhFk/w0RpNDFzlp3GC3IUtj4NLz/cN8vtwvIUXiYgWLGW7NrJuM2Zl04L4b8Ax4nI8fNdJCKbgOOBb3b4/kYP2FhaSdYPElOOq1F+a+OAVJ1pRaFpeNwPhDP78fONZXXJTnLvtHVvxq0guUZEds91gYisBT4F1IC3dfj+Rg/YNOyGxkmZIyzXqmT9DBuHB10I9+LnS4Tl/lhu18gfTPqwGDo/NH028Glc0OQmEfkqbs+SR4ASbrnd2cAQbo7wjSIyu49QVV/eYbuMDrJ5xG3kVKlXE5FCU67XGM4W2Dw8Fqsd3Sa7ZhuZsQm8R+5O/HK7J1WjTnigBDovhH/F4cTpDPDbwDObzjf/x+yKfhqEHE687pkQisgQ8F+B38MVi30CuBH4K1X90jL73ILzdp8DrMUVoPgKLon8lk7YHSdri8MUgxy+5x8alsZFGIbRFp4Ztowkq+pxp/E8j+KOvZTv/Um0JWaChbB8ED9XJLduJ5k+2Fq105/gj3NYCBOPiJRwAnUKUAF+DKwGngU8S0QuVdW3L7FPAb4V9fMY8ENc1e7zgJeIyAtU9Z869y56j+/5bBlZxc8fe8jtExKjEFajIWIa5gjBzRM+/t2rqT/2S1fLKaHUZ/a7YXFCq83MpqOfYFW9oJP99YD340TwB8DzVfUeABE5D5f0famIfGuxdROjfZqvw4ngFcCrVXVKRHLAu4HXAVeLyKSqPtz5t9M7tq1YzXcyGWZqVYZjTFlpbOi+eXgsVkHuFYVtJ+Pnh6jWyoS1Cl4mG7dJR9CoRp0trUr0srpmkh3K6SIisgM4F6gDL2uIIICqXgH8RfT00iV0ey4ul/Ju4CJVnYr6K+O2Ov0XXAGK/9Su/XGzdWScfCbLTC3e5eIztSr5TMC2FckffnWCTGkluQ3HRlWrExo9rs7ghSF+YSRRm7jPR0+EUET2iMjvisgzojm5JHAebh7zO6r60znON7YR2BfN+S2GC6LjFZH4HUJVQ+Bvo6fnLNHWxDE5uoZ8JmCmVonVjoYQTq7sv6osy6U4uRcvwVWrXbR4mMK2E/H7JMG9bSEUkdUi8nYR+ZKIjM06t0FEvoULPlwFXA/cJSIXt3vfDtCYvJgzl1FV7wPuip6euVBnIuIDJ8/XJ27uEGC7iGxepJ2JZEckhLUwpFqPL5VjulahkMkyObomNht6TWHHqYleblefOYBfKPXNsBjaFEIReQrwU+ASXIBhXdO5Iq4o615cNLgC/Bo3f/ZBEfkv7dy7AzRS3e+Y55pfRMdd81zTYCOH92lu1ec9uPzJxfaZWIayObaMrCKfCZiOySus1uvUwpB8JmBXijzC/ObjyZRW4Xk+YWU6bnOeRFivu4hxgsvyz8WyhVBECsA1wBpcesiHcPmCDd4C7Ige/29gXFXHcSkljwPvEJGdy71/B2j85/xqnmsaAY3FTEA1/yfO2aeq1nCR5MX2mWhkbB2FTDY2IZyuVchnAraMrKIY5GKxIQ48PxNt9VlK3PA4LB/EC/IEY5sIxrfGbc6iaccjfCWutuB3gN2q+hpVfRAObeDeGP4+CFyoqvsBVPXLwB8BeeDCNu7fLo25yvm+UqdmXbuY/jrZZ6I5ZmyCYpBluhqTEFYrFIMsx63aEMv946QwuRe/kLx1x438xsLkqbEn2i+FdoTwbFzO4IWq+tCscyfhPKQQFziYmXX+KmAG5x3GxVLWhy1mImap682SN7mzRI5bNUEhyDJdq8ayz/FUrUIxk+XYVRM9v3fcFCdPw8+VCCvThAlZ6ghR2a3CcF8Ni6E9IdwN3K2qOse5pzc9PiJ5OBLG24DFRmO7QeOrdL5qkY05v8Xsutf81dypPhPNpuExxgvDZP1Mz6PH9bDuAiVBjt2r0+cRBqPryK7bgZ8tJmZ4HFbLhPUqfmGEwvaTF26QINoRwjXAAy3OnREdKxyOlM5mCrf+OC4aXuzqea5pzOM9uIT+WvYZJVw3Kocups9E43kex6/eSDHIcrDHw+Opqpsf3FAaHcjy/IuhuHMfXmGY+nQyhsf1qNpMfsse/Hx/zfy0I4TTwBEz1FEayem4od8NqtpqvmwdTw6u9JrGmt+t81zTOHfrQp2p6v0cDoS06nMzLndxUX32AyeMb2IoyDHV42KhB6sVhoIce8Y39fS+SaK48zT8qD5hEtJowmk3P1jc2V/DYmhPCO8DdkSBkWb2cXgV5Jzl+kXkKNyw+L427t8ujSrac/7VopqJjaH7txfZ5/+br0/chvcAd0XC2fc8Zc1mFzCpVaj3sDTUwWrZCeGavk7HbIv85hPwSyvxPC/2NJqwXqdePujqD+48PVZblkM7QvhVnOC9YNbrzZHga1q0fSPOY/xaG/dvl3+MjmfJHLXAgNdEx2+o6i8W2ecno+MrovXFrfq8fJH9JZ6J0iibhsfIZ3o3PK7Wa1TqNYpBjj3j6RVCL8hS3OGix2HM0eNDaTOrNpJdsy1WW5ZDO0L4IZyYfUxELhaRE0TkrcD50evfVNUfzW4kIufjig+EwNVt3L8tVPU2XPQ6A3xGRA7VEheRc4E3RU//++y2IrJDRI4WkdnhyitxydTbgauiPZ4RkZyIvBc3ZfAY8L5Ov584OXHtUZSCHAcqvRkeH6iWGQqyHD22jtF8ceEGA0xx1z5Xvj/mecL69H4XLd65r6/SZhosWwhV9WbgncAwbl3u94F34FaR7Mdt7XkIEfkTEfke8FGc+HxcVb+/3Pt3iDcANwPHAj8TkZtE5Be4yjEB8NYWlWe+gptjvKz5xWg+9Byc2L0YuF9EbsAFlV6P29Plhf1eeWY2J6/bSimb52B1pidzVQcqM5SyeU5at7Xr90o6xcnTXNXq6gxhTAUw3CbuT+Dnhynu6r9hMbS5xE5V/xSXWH0nTgA9XJT4TFX92azLX4HLL/Rwpfpf1c69O0EkSKcCb8cFL47BRXy/AbxYVf98GX3egNud7yPAo9HjOq5y9ymqGud0QFc4fvVGVuScZ9btajT1MORgtUIpyLN3Xf8NwTpNZmS8qRpNTF5hdQbC0G3ivvXEeGxok7YLuKnqR4GPishKoKKqrZKavooLOly52Pp+vSCy91KWUG5LVbcucP4u4KJ27OoncpmAp63dwj37H+FAtUwh6F6NvIPVMrloI/e0lN5aiOKufUzf/m03PB7qfXHa+vR+vMIwhe0nJXoT9/noWCVLVX10gfOvme+80d+cun47199zCw9N7Wd1oXvpoQcqMwwHeU5dv70v56K6QXHXGTz61Q9Sf/xXsewhU5/ZT6a0iuKuMxa+OKGktjCr0VlOXreV4Wyear1GuUvD4zAMOVApU8o5ITQcuYmjCVasxctkCcu9XbAU1qqElem+nh8EE0KjQ4zkCuwZ30Qpm2d/ZfbS8s4wVavg+x7jhWGOX72xK/foRzzfp7jrdFeEocfR4/rMAfzcELkNQjC6buEGCcWE0OgY+yYmGe6iEO6vzDCczbN3/TYyCd8wvNcUd53h8gmnn+jpKpNw+gmXNtPH3iCYEBod5NSJ7Qxn81SihOdOEoYh+yszjGQLnDERZxnLZFLYfjJ+cRTCOvRouWNjkyYvP9zX84NgQmh0kLH8EL/RpeHxVK2C73msKpQ4YU161xe3ws8PUdh2okuu7lEaTVg+iJfJEoyuI7fh2J7cs1sM/v6HRk85Y8Mk337gDn419URHS3PN1GoMZ/OcNrGdrJ9ZuEEKKe46nQM3/xO1A4+QGZ6vqFJnOLSaZNfpeH0+VWFCaHSU0yZ2MJorUutwAYZiAENBjrM2zrUs3IBonjA/TPXR+wlrVbwu7vMchiHh9BNkxjb0/fwgmBAaHWYsP8RfnPZCbn208+UW1xaHeUqKq80sRLByPbkNQvXX91KfOUBmaHThRsulWoawjl9cQWF7/+xW1woTQqPjHLd6A8elsGp0EijuOp3pO75HffoJ6KIQ1mf2R3sXn9R3RVjnor8H9oZhPImi/GYUMOnunsf1AUmbaWBCaBgDRG7iGILRdV1dZRLWawOxmqQZE0LDGCB6scqkPr3frSZZv5Ng5WDsIGhCaBgDRnHnvq5WrQ5nXLWZfk+ibsaE0DAGjMKOvfiFETeE7fAqE7eaZH80LN7X0b7jxITQMAYMPz9EfutT8fOljg+Pw/IUnh+4grCbju9o33FiQmgYA4gr4d/55XZhwxucPLXvV5M0MzjvxDCMQ7h5whJh+SBhvXOrfOoz+/EKJQqT/bd38XyYEBrGABKMH0UwtgkvyHcsjSasVQmrZbeJuwmhYRhJx/M8CpOn4hdKHRse12eitJkNx5IpjXWkz6RgQmgYA0pxci9+fphwptV+aksjbNQe3LG3I/0lCRNCwxhQCltPxMuXoiFteyXRGkVY/XyJwo7+L7IwGxNCwxhQ/OII+U278fND1Nv0CsPqDJ7n4Q+Nkh+gtJkGJoSGMcAUtp/svMJym0I4cwAvV6Kw9al4Xdy3Oi5MCA1jgClsOwk/N0R95mBb1WjCmYOHtgMYREwIDWOAyW/ajV8YwSNc9qZOYRhSLx/Ey5cobDUhNAyjz/CCHPktJ+DlhqgvM58wrEzj+RkypVVk1+/qsIXJwITQMAac/FF78PJDy06sDssH8XJDTlAHaFldM4P5rgzDOER+yx78XDtCOIWfL1I4ak+HLUsOJoSGMeDkNx2PlysS1uuES9xi9dD8YG6I/BYTQsMw+hQ/VyS3bid+rkBYnlpa41oFCN3Suomju2JfEjAhNIwUkN90PF62SH2JQhhWpvCzRXITghfkumRd/JgQGkYKyG06zg2PK9NLalcvT+PliuQ27u6SZcnAhNAwUkBuwzF42QJhZXpJidVhZRovWyC3YXCHxWBCaBipIDu+FT9fwvM8qC0usToMwyYhPKbLFsaLCaFhpADPz5BbvyvyCmcW16hWcYUWckNkx7d21b64MSE0jJSQXTuJl80vep4wrEzjBXmya7fj+ZkuWxcvJoSGkRJy6yfxggJhdXEeYVidwcvmya3b2WXL4seE0DBSQnbtjsgjXKwQlp1HuGZbly2LHxNCw0gJ2fGteJkcYa1CGC68s11YncEL8gQDPj8IJoSGkRr80ir84gheJoAFSveHYRh5hDmy40f1yML4MCE0jJTgeR7B6i14QY5wodqE9SrgQTZHMLaxJ/bFiQmhYaSIYGwjRMPj+QirFbwgSzC6fuAjxmBCaBipIhjbiJfJEi6QVB3WyniZdHiDYEJoGKkiWDnhNl9aqBxXrYKXyRKs3NAbw2LGhNAwUkSwYi2enyWsVee9LqxVIROQWbG2R5bFiwmhYaSIzIq1kAkWLtDa8AhH1/XGsJgxITSMFJEZWYuXyUK9Nm8VmrBexcsEZIbHe2hdfJgQGkaK8IsrwM+A50cpMnMT1mrgB2RG0iGEQdwGxI2I7AYuAZ4OrAQeAL4IvFNV7+tA/+uBnwI/VdXT2+3PMNrB830ypZV4mQxhrea8w1mEYQj1Kp6fwR8ai8HK3pNqj1BEzgBuAH4X97u4GVgN/D5ws4i0tVuNiBSAq4B0fJqMviBTWgV+0NojDOuAB36GTCkdH93UCqGIrAKuBQrAu4AJVT0R2AB8GidenxaRZW3UEPV/Hc7TNIzE4BdHXZJ0q/XG9Rqe7+PnhtxyvBSQWiEE3oATu++q6ptVtQqgqk8ALwV+DmwHzl9qxyLyTOAm4Lc6Z65hdAa/uAK8DGG9Nuf5sO7mB/3iih5bFh9pFsILouNHZp9Q1TLw99HTc5bSqYhcBVwPbAH+GfjA8k00jM7jF1c4j7CFEFKvge/jF0d6a1iMpFIIRWQCaJTU+GaLy74VHfeJyJEzyq05DXgYeD1uWPzgsow0jC7h50vg+61LcYV1PC+Dnx/urWExko4JgCOZjI4hcGeLa34RHfM47+6ORfZ9KfBZVX0MQESWZ6FhdAkvP+TSZ1qsNw7rdfB9vHypx5bFR1qFsLFu6HFVbVWu9+Gmx+MsUghV9fI27DKMruPnSnje/B4hnguWpIW+F0IRuRx4+RKaPAVo/IXn28Vmqulxej4RxsDj5YrOI2y1siSs43m+uy4lpHKOEGgxS9ySxe+IbRgJx8sWwPMW8Ag9vGx6hLDvPULg1cDrlnD9QdycH7gcwlY0fwoOLtUow0gqfrYQeYRzC2EYhm5VSXa+f4/Bou+FMJrjW+SO1Q4ReSh6OCIiWVWdqxRH8yJLi/waA4OXzeMtMDTGC/Cyy1pL0JekdWh8S3T0OewdzmZrdJwG7um2QYbRK7xMDjxvHiEM3RxhYEI40Kjqr4HboqentrjstOj4PVVd6pyiYSQWL5uPhLDVlp6hO58xIUwDn4yOr5p9IlpffGH09PJeGWQYPSGTdULXKgbYCJakyCPs+znCNngv8FrgDBF5L/CfVbUsIiO45XXbceuNP9HcSESGODycvltVLZBi9BWu9JbXujBrGALenCW6BpXUeoSq+iBwHlDGLYd7QERuAO4D/iPwKPD8OQIpJ+PmGG+JHhtGX+EF888RhuA8QhPCdKCq1wEnAv8AVIA9wH7gY8DTVPUnMZpnGF3B8wO8eYfGkUdoQ+P0oKo3A7+3hOu/DnhLuP5S3Ppjw0gGmQCYP2rsgiXpkYdUe4SGkUa8Q8ESWswThnh4eL4JoWEYA4oTuHkGNeYRGoYx8DR5hHMPj0PwsGCJYRiDixdEAtcqYNIIltjQ2DCMgcXzIxFsFTAJU5dQbUJoGCnDa+QItsglDCOPEBsaG4YxyHh+EIVLWgyNPS81W3mCCaFhpJL5V5eEkddoQ2PDMAaZIAtz7FsShmEkjlaGyzCMAcd5e3NFjaPnttbYMIxBp+XQOGwSwmy+94bFhAmhYaQQL1uYu1x/GLr0GrCosWEYg40XtKhS3VSU1fMWXVuk7zEhNIwU4sr1+0cWXQijiHGKtvIEK8NlGKnEj/Y2rk89SliZOnyiXgPPx0/R/CCYEBpGKvFLq/CLo4TV6SefyAT4+RJ+aVU8hsWECaFhpJDRM19JsGItYbV85EnPY+jYZ/TeqBgxITSMFBKsWMvoma+M24zEYMESwzBSjwmhYRipx4TQMIzUY0JoGEbqMSE0DCP1mBAahpF6TAgNw0g9JoSGYaQeE0LDMFKPCaFhGKnHhNAwjNTjHVGPzEg8IvJ4Lpcb2bJlS9ymGEaiuP322z+vqs9fajsrutCfHCyXy9x+++33xG2IYQwC5hEahpF6bI7QMIzUY0JoGEbqMSE0DCP1mBAahpF6TAgNw0g9JoSGYaQeE0LDMFKPCaFhGKnHhNAwjNRjQmgYRuoxITQMI/WYEBqGkXpMCA3DSD0mhIZhpB6rR5hgRGQrcGeL0yHwa+Bu4EvAe1T1Vz0yrWOIyAXAR4H7VHVT0+tfB84E3qmql8Rj3fyIyOXAy4FvqOpZMdz/1cAHgYtV9cNLaPda4G+AV6jq5Uu8ZwBUoqfnqeqVC1x/EfAhoKaqidWbxBpmHMGPgceangfAGLAb2ANcLCLPUNWb4zDO6C0ichLwP5bR7hTgXZ23qL8xIewfXq+qX5/9ooisBj4GnA18SkSOUdV6r43rAucDQ8BDcRuSNETkLOAzwMgS2/0W8Gmg1AWz+hoTwj5HVR8WkZcD9wG7gGcB/ydeq9pHVe+O24akISIF4M3AJUBmCe2KwFuiH4sLzIH9UgYAVX0YN3QGN1Q2BgwRmQRuBf40eukS4K5FtJOo3SVAHfgT3Jem0YR5hINDNjo+MftENMF9DvA7wFOB1UAVuB/4KvCXqnrrHO2eDbwW2Iubj3wMJ7ifBD6squU52qwA/hB4ETCJ+7L9OW4o9x5VfXQxb2auYElT8OiXwARwIfAq4Nio2Y+BvwMuV9UjNuPplG0xsQnYDHwXeJ2q3igiFy+i3eao7bejdjeJyOu6aOeCzAq4LMRHVPWibtoDJoQDgYjswHmCdWYNi6Nh0ReAp0cv/QK4GVgH7Ix+zhWRM1T1pqZ2bwD+Onp6P/ADYBwnTmcCLxGRZ6pqranN0bgI9lagBtwBTAHHAW8DXi4iz1HVn7X5lj3cvOh5wKM4j2c7TrD3AoIbQjb/HnplW7e4FzhbVb+4xHZ3A/9OVZM0XRIC35rn/DjubwiL8Ho7gQlhnyIiGWAlcBrwP3HezTtVdfYH5004EXwIeK6q3tDUx0nAtTjv6i3AS6LXV3I4sniOql7d1OZZwDXAWdH1V0evl4DP44TmWuAPVPX+6Nx64MO4gM7nROQEVZ1q4+2vBV6K8+7er6q1aP7sQ8C5wB+LyLsb6UQ9tq0rqOrtwO3LaHcr7osiMURfnqfPdU5ERoBvRk+/DPx5L2wyIewfvuame1ryLuC/zfH6M3Ge4tubRRBAVW8QkQ8A7wCObzolQAGXp/gPs9p8WUQuA34DaB4aX4Qbbn4feHGzp6iq/yoiLwFuwXmgFwAfmO/NLIL/parvbbrHtIi8EXgZ7nN9Ms4TjsO2tHCFiFzRqc6iIfM/4j5btwC/0/y36iYWLOkffowbTjR+vgv8BJiJzv8R8N7IUzyEqp6OE7UPtuj3YHQcanrtTtwc4hhwuYicMKvPP1PVl6jqZ5pefmF0vHquD2/kZX0qevq8Vm9yCXx+jns8DDSSylfGaFtauJUnfybn+lmKF/t+4NnAw8C/V9XHFri+Y5hH2D+0yiPM4byYvwFeh0ur+IPma1S1IiJjIrIXl2KzPTo+BTdXCE1fiqr6oIi8C3grLp/vfBH5V+AruOHKF1V1dn5fI1p9sYj8hxYOPtI0AAADYUlEQVTvYX10PHrBd7swrSKfjWFt82e717alhT9bwsqSeRGRN+ECX2XgRar6886YuDhMCPucKHL7dyIyAVwKvEpELlPVe+DQnMtf4+bOsk1Ny7ih4k3Ac+bo9xIRuREnrr+JE4qXRT9VEbkaF4VsfGuPRsdGAGY+Vi5wfjEcEbGehdf0uNe2GUsgmpq4LHr6alX9517bYEI4OFyLE8IMztO7p+n1p+M8pfdxeEh9W+QpXswcQgigqp8FPhulnZyJC5A8F+c1nYsTmOdHlx+Inj9PVa/r8HtrlyTblmpE5FTg47gvrnctde1zpzAhHByal9V5ANFQuJE2c7aqfm2OdptmvxCl3OwEPFX9oao+jpuT+zwuIvtm3Df480RkNPIKFRegOA6YU2xEZCdOkO7qcYGIJNuWWqK0r8/h5rCvwSV7x4IFSwaHs6NjCNwYPd7WdP5GZiEiQ7hEa3jyl+KrgB8CV4qIN7sdcH3T40ZwphG8uCgS0tn3CnDe6Q24dJ9ekmTbUomIrAK+iMsZ/AFw7lxJ8L3ChLDPERFPRF6EC2wAfEpV740eNycHv01Esk3tjsUlGDfmzJqjxp/EzcHtBt4T5eE12o0D74yefk9VH4kevx94AJem8jkR2dLUZk3U5zFRv70WmyTbljpEJI/zAHfhEvyfq6oH4rTJhsb9w/tEZHY6QRaXJLw2en4j8PuNk9Fyqk/iltb9MXCBiNyJW2LX8BavB34bGBGRFar6uKo+ICIXAlfikpZfKSJ34D4vO3BDmYeAVzbd69ci8nyc9/VM4E4R+SluyC5AHpeSc06vS4Ul2baU8ofAGdHjh4APRV+22Tmurfai1qMJYf8wVzGFaVze3HW48kpXqmp11jUvBf4vcDHOIzohavN54G9V9QsichewBZdD9wkAVf2EiNyLixrvxa3nnQFui+73l7NTaFT1/4vIbuANuCDKJE5kHgC+DrxbVX/Uxu9g2STZthSyounxiQtc25OEai8MYxuWG4ZhJAKbIzQMI/WYEBqGkXpMCA3DSD0mhIZhpB4TQsMwUo8JoWEYqceE0DCM1GNCaBhG6jEhNAwj9ZgQGoaRekwIDcNIPSaEhmGkHhNCwzBSjwmhYRipx4TQMIzUY0JoGEbqMSE0DCP1mBAahpF6/g0ilRuvnSSYfwAAAABJRU5ErkJggg==
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<div class="output_area">
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<div class="output_png output_subarea ">
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nARplDsHar64CTXr8UItPNE5HhV3VJL5yLiAt/BFJ69HLimwfl2NIsWLWLx4sWtnoali2l3k/Pc6Hj7ZBdVdTvjRWGfV0f//xc4D7gemz/eYpnztLtAOzk6PjJNm03R8dRaOo5KlX0U2Am8q+aZWSyWWafdBdqR0XFgmjb7ouPSmXYqIgngu0AP8FZVHaxvehaLZTZpd4FWWaTPT9OmUh27lgX9K4GnAd9R1V/WM7FuIJVK4brmT8jzPFKpVItn1J3Y38M47S7Q/Brazii+QETOwgi07RhHgGUK+vv7eec734nnebzjHe/o+ij1VmF/D+O0u5czDSwBeqdp0xcdDxltKCI9GK9mEvgnVR1qeIYdzjXXXMM111jnb6uxvwdDu2toe6Pj4dO0qayd7ZlBfx8BTge+GdeWKYvFMnu0u4b2EHAKsHyaNpVrG2bQ3z9Gx0tF5NJp2j0mIgAfVtWrZtCvxWKZBdpdoN0NnM94PNoBiMgy4Pjo5Z0z6O9eYNsU13qASrns+4ACUFOgrsViaS7tLtB+CHwceL6IiKrqhOuXRcdbZ5IdQ1VfM9U1EVkOPBa9fI3NtmGxzD3aWqCp6kYR+T7weuDHIvK3qvowgIhcCLw/avqxifdGezSTwLCq7pytOVsscZO9cQ35X68fP+E49J3/JPpe+cTWTapFtLVAi3gX8OToZ72IrMV4Pk+Irl+pqpNtTL85avMd4OJZmKfF0hQKtzxCef0ewlIAgJPyKCzq7UqB1u5eTlR1H2YN7cOYhf8nYLyetwKvVtVPtHB6FsusEJYDnCV9OIt7Cf2g1dNpGZ2goaGqGUyKoKtquGd5jWNsApxa7rFYZgXH/OMkXQhCE0HudOefattraBZL1+NEP2H1ie7ECjSLpd1xqwRYiJFnXncKNSvQLJY2x3EneYxdK9AsFks74jljJmcYmuWzSYVcF9Cd79pi6SQ8N3IChIzZnNbktFgsbUlFeFXJM7zufLS7811bLB2Ek/BwHMeUFAxDcMCxAs1isbQlCffAsA3HgWR3Ptrd+a4tlg7CGRNo4ZhQc5JeS+fUKqxAs1janaQ3vjOg4uZMdOej3Z3v2mLpIJyKQKtoaA44qY7Y1VgzVqBZLG2Ok4xMzoAxDc2xGprFYmlLqjW0IDI5U3YNzWKxtCFOyhv3cobguNG5LsQKNIulzXF6ElVraBUNza6hWSyWdiRlAmsJQxNc60S50bqQ7nzXFksH4aQS4EIYEHk5HZxeq6FZLJY2xOmZ4BRwwUlagWaxWNqRydbQrIZmsVjaEWNyOlEcGsbk7LFeTovF0oYYk5Mxk9OEbVgNzWKxtCGThW04PVagWSyWdiSVwHEd4xAIQ2N+WpPTYrG0I+Nezih0w3GsyWmxWNoTp6cSh1aVsdaanBaLpR05YA0NrJfTYrG0ManxBI+OE5W0syanxWJpR5xUwpiZjgOug5P0jJOgC7ECzWJpc5yEawoLO3T1+hlYgWaxdAY9ngnXcByT8LFLsQLNYukAnMo6mtu9DgGwAs1i6Qgq62g43VvCDqxAs1g6g4qG1sX1BMAKNIulI6iUsnO6eJcAWIFmsXQERqARmZzd+1h37zu3WDqJpBsF1Vovp8ViaXMO1NCsQLNYLO1M0h13CnRp1XSwAs1i6QicRJWGZgWaxWJpaxLu2AZ1EtbktFgs7YwXPcqOA4nu3JgOVqBZLB2Bk6janO5172Pdve/cYukkKhvTcca1tS6ke9+5xdJJeJGZ6WCEW5diBZrF0gGMZaqFrk3uCFagWSydgVtJwc24t7MLsQLNYukEqoWY1dAsFktb08VCrBor0CwWS8dgBZrFYukYrECzWDqBSpHhLscKNIulEwjCyf/fZViBZrF0ApEQC0O6WluzAs1i6QDCMIRIjoVWQ7NYLG1NuSLNsCanxWJpc/ygYm9COWj1bFpGR9S7EpF+4H3ABcCJwCiwArhGVX9dZ58vBC4HzgUWADuA3wGfVVWNY94WS1yEfmC0szD6f5fS9hqaiMwDbgE+BDweWAdkgJcAN4nIh+ro84PAH4BXRKfWAUuAtwKrReTVMUzdYomPUqShhSGU/FbPpmW0vUADvgScA6wGTlLVs1T1BOCNQBm4SkReNNPOIs3sw9HL9wJHqepZwFHANUAvcL2ILIvxPVgsDRGW/HENrYtNzrYWaCJyEnAhEABvUNWtlWuqeh3wqejlVTV0+97oeIOq/qeq+lF/BeBfgYcwQu1Njc3eYomRkj+uoRWthtauXAR4wF2q+uAk16+NjueJyPEz7PMO4OfANydeUNUQWBu9PKHGuVosTWNcQwsJu1igtbtT4NzoePtkF1V1u4hsxgif5wHXHapDVf3oVNdExAPOjF5urG2qFkvzCPNlwjDECR3CfKnV02kZ7a6hnRwdH5mmzaboeGojA0Xm7Q+AU4BdTKLBWSytIiyUIQgJg9D8v0tpdw3tyOg4ME2bfdFxaT0DiMgngH8ElmO+AO4CLlXVfdPdZ7HMJmGuZNbPAqOtdSvtrqH1R8f8NG1yE9rWygsx4SCVz+pxjIdzdDVBEOL7wQE/QRdHqbeSMG80NILQCLcupd01NJ+ZC+V6n7QLMEG1j8OEglwB/D8ROU5V311nn23PwJ40N/5wLYUJ2kBvb4LXvu4MlhxW7/eHpVbCMIR8yQg0t7s1tHYXaGlMwGvvNG36omO2ngFU9bHovw8DHxSRh4HvAO8UkS+q6nTrdx3Ltq3DDA/mGBktHHB+0cIetm8btgJtNsmXCX2zfuZgzM8wCLuy+lO7m5x7o+Ph07SprJ3tiWNAVf0uRmPzgOfE0Wc7ks+XCcKQ3t4ES5fOY+nSefT2JAhCc80yewTZ4nj6oC43O9tdQ3sI43VcPk2byrUNh+pMRBzgGMx+0LtUdaqQ683AscDRM51op5HPlwiCEM91cCNNwHUdgiAk36UPU6sI00agOZ47LtAyRZiXavXUZp2mCTQRcYGzgNOAxar6RRFJAsuqzLhGuRs4n/F4tIlzWAZUAmrvnEF/y4At0f/PAe6Zol0lqHb7zKbZeeTzZYIgJJEYV/KdSKDlrIY2q4SZIgQBuI6pZucHhKMFOHJ+q6c26zTF5BSRSzDxX3dj1ps+F106AdggIteLyHTrXjPlh9Hx+SIik1y/LDreqqqbDtVZtHVqffTynydrIyKvxWhnRUz2ja4kH63TuFX1IF3XIbQa2qwTjOQJ/RA8B6LfQZAuHPrGDiR2gRbFbX0do+2EmA3iFZZh1p5eB/xGRBrSEFV1I/D9qM8fi0gl0BYRuRB4f/TyY5PM8yQROU1Ejplw6SPR8WIRuTLSKiv3vBb4RvTy06q6u5H5tzO5XIkgPHDh2XUiDS1nNbTZJBwtgB+C55ofPyAcsQKtYUTkBZiwhixGw1lCldmmqn/C7L/MYBbU3xrDsO/C7K98IrBeRFaJyCbMNqcEcKWq/mGS+27GrMF9svqkqt4AVLY/fQwYEJH7RGQH8D/AfOCr1LbhvePI5cwamlsl0BzXIQithjbbBCN58AMczzFamh8SDOcOfWMHEreG9i6MVnapqn5FVUcnNlDV72GEmgO8odEBo4j9czEpfzYAT8B4PW8FXq2qn6ijzw8CLwB+hjEtz8BogT8DXqaqb5vGYdDxhGFILhuZnO6BJqfR0KxAm02CoZxJ6ui5xjHgB0bIdSFxOwXOBXap6g+na6SqP4s0nifFMaiqZjAa01U13LP8ENf/BPyp/ll1LqWij++HZh3anWQNLV/G9wM8r92jgtqDcNhoaPR44DjG5BzqToEW91/cEmbu+dvOeNCrpY3IZI256TjgVDkFHKeSkstqabNJsD9XtYZmBFowaE3OONiH2fc4LVG814mMB8Za2ohctkgQBAdoZ2CEW8XszGatQJstgsEcYTnA8VychEtYDgmGrECLgzuBJSJywSHavQkTwX9XzONbZoFs9mCHQIUxgZYptmBm3UcYhgSDWWNyJsa9nMG+TKun1hLiFmifxyz2f0lEzp94UURcEXkzpg5AyHhGWUsbkUkXpxZonhFoGSvQZoVwpEBYLI85BUi4UA4IovPdRqwCTVVvAz6DWUv7iYgMAU8DEJF7gP2YkIc+4GtThFNY5jiZTJHAD3EnWfR3XYfAD6yGNksE+zJQMTfdKLA22i0Q7K0rH0NbE7sbSlWvwMSgDQALMZkwHODs6PUIcIWqXjZlJ5Y5TSZdxJ/G5PSDkEzaCrTZwN+bMVWeoi1ojuNE62gB/t7uMzubspdTVb8iIt8EngWcDizCBNMqcJuqdt9XRweRThcIgoBE4uA/H891KZV90lagzQrBnrSpyZms0k0qZudAunUTaxGxCjQRuR54DLMtKI0Jbr01zjEsrSeTNian502xhlYISY9259ab2SYYyBCWfZyEN3bOSXhQ9o2w6zLiNjn/Gngb06fEtrQxYRgyOlqITM7J19D8IGDUCrRZwd8zClUmJwBJl7AU4FuB1jB9wBZV7T73SpdQKPgUi+UpNTTPcwl8E4dW7uIK3rNFsCtNWPJxDjA5jYbm7z5o52HHE7dA+yNw+hSpfCwdwOhoHt8Pcd0DdwlUqJwKgpB0l6awmS3CIDRCqxRAssrkjDS0YFf3CbS4nQJvweQI+7OIfAlThXwn45WXDkJVH415DpYmMjpSMDFoU+zTdBzHrKP5ASPDeRYvtrvbmkUwmCUslAmDiSZntIY2UiDIFHG7KHNt3AJtBdCDiUP74Azah02Yg6WJjIwUzMbzaQpweK6LH4R2Ha3JBDtGoGQcAgfsqXUdE2Rb8vF3jOCeUldJ2rYkbpPzaIwwAxN7dqgfm46hzRgZNibndJk0PM/BjzQ0S/Pwd44QFv0DzM0xkh5hyTdCr4uIWzs6Meb+LHOMkZE8vh8cUEtgIq7n4vshI12aNXW28LePHOwQiHCSXqShDbdgZq0jVoGmqpvj7M8y9zAaWkBPz9R/Op7nUiqVGO7SnFyzhb99GEo+9CUPvph0CYu+adNFNHX9SkSeCAiwABgFNqrqA80c09I8wjBkeMianHMFf/swYdHHXXRwvSEn5RFkivjbrcnZMCLyd8CngZMnubYVeO+hstpa5h65XGnaGLQKXmRyZjJFSkWfZGqSNR5LQ4S5Ev5A5qCQjTGSHhR9s85WDnCmWSLoJJpR9ely4EZMAWAHo5ntwBROcTB1Mn8gIu+Je2xLcxkeyuOXQ1zPmTQGrYIb1Yf0/YChLi3W0WzGzE3XwZlMW064hEBYKOPv6h4tLe6qT2cC/4kRXF8BTlXVxar6OFVdgKnM9PXo+idE5Iw4x7c0l6GhXFQrYGphVsFoaYFdR2sS5a1DxsM5hfbrOA5O0jPraNu6Zx0tbg3t3VGfH1HVf1bVh6svqup6VX0rpkxcAnh7zONbmsjwUJ7yDIufVMxOK9Cag79t2Hg4pzHnnVRkdm4ZmsWZtZa4BdrzgGHg44do93FMXrS/inl8SxMZnkEMWoVE5BgY7tLc9s3G3zIE02hoAKQ8wlIZf6sVaPVyFLBBVaetkKGqRUxutONiHt/SRIaHcvjlmWlorufilwOGrIbWFMpbBgmL5UNqaGHRp2wFWt1kMcVPZsIRTLPH0zL3GBrMz3gNLTFmctpfcdwEmSLBvuzUHs4KqYQxOXdEOwq6gLgF2v3AchF5znSNROR5wHJgTczjW5pEoVAmlzOpt2e0hpYwJufoaMGmEYoZf/OgMTe9KTycFTzHuN+K3bNjIG6Bdj3mI/yBiJwzWQMReSZwA2Zj+vUxj29pEpWAWjeqvXkoKmEdvh8wMmLNzjjxtwyZik6HiO9zHAdSCcJiGX9zd5idcQfWfgu4FDgXuDOq9LQC4yhYhKkA9QyM0LsD+HbM41uaRC0hG2AepjFP52COww7rb/IMuwezfubjpA79+I6to20ZpGcW5tZq4t7LGYjIy4DvAy8HzsEIsAqVp+Em4CJV7Q7DvgOYyZaniVS2QA3ZLVCx4m+NPJzzZ5DnLOVBrtw1oRuxb31S1VHglZFp+QrgNEz5ulFgPfALVf1L3ONamsvw8Mw9nBW8yNNpY9HiIwxDypHJ6aYOnTzTSXkEw3nKWwZnYXatp2mb0yOhdYDgEpEFkcCztBlGQ5s+y8ZEvIRLqejbTeoxEuzLEqYLplL6dB7OCuJXs4YAACAASURBVFEaoWBfliBdwJ3f2YZnU3asishbROR2EZmY1+QrIvKoiLytGeNamkctQbUVPNcG18aNH215cpKeyUx7CBzPNdlri35XBNjGvZfTEZHvYvZxnsvB2TYejwnX+LKIfD3OsS3Nw/cD0qMm9bY7Q6cAjG9/GhkpEIZhE2fYPfhbBmEGHs4DiBwD3bCOFreG9mbgQkxdzg8AWydc/zvgckwV9UtE5FUxj29pAqMjBXzfCKSZhGxUcD2HIAgplXyymWk3j1hmiFk/m34P50ScKHSjvK3zBVrca2iXYOLL/l5VfzfxoqruAj4vIhswns5/Bn4c8xwsMVNJu+157rRpgyZiQjecSEvLM28mXjnLtPjbTFJHZ+HBSR2nJOVBpmg1tDo4HXh0MmFWjar+BqO9nR3z+JYmMDKcJ6jR3KxQKWk3bB0DDRMGocmDVrOG1j1phOIWaAlgpl8Du4EavmYsrWIkMjk9t/Y/l0petFG7W6Bhgr0ZwmyJMAhhksIoU1KpADWcI+jw30PcAm0L8EQRWTBdIxHpw8Sn7Yx5fEsTGDc5a9fQPDdyDAzbClCN4m8bGqvyVJPp7zomBXcx6HgtLW6B9mugD7jmEO0+A8wDfh/z+JYmMDJcwA/Cuk1OP7D7OePA3z5Su4ezQspoaZ1eBSpup8AXgbcAF4uIYNJt3w+kMZWfTsfs9XwOUMCk67bMcUZHzRpaLTFoFSpOgVFbo7Nh/O3DhKXA1NyskbF03B1eeDjuvZyPisibgOuAZ2Fi0SbiYITZG1V1Y5zjW+LH9wMy6WIUVFuHyem5BFEaoSAIawr7sByIv3PEFEaZV4e3OOlBvmz66GBi3ymgqj8BnoIJrt2BEWCVnwHgO8BZqvqjuMe2xI8JqDUxaLWs21RwXYcggFLJJ5+zsWiN4O8cGdslUCtOxeS0GlrtqOqjmBizfxaRHuBwIKOqnW3AdyAjIwWCIIhK09Uu0BzHGQuwHRkp0F+PdmEhzJcI9uegHNTm4ayQcKHk4+8eJfSD6RNDtjFNrZwOoKoFjKZmaUNGIw2tnvWzCpU9naMjeY4+ZloHuGUK/N1pI8xc6hNGCZcwBEoBwb4s3pHzY5/jXKBZldOPBZao6rqqc5cDFwEe8CvgE6qaacb4lvgYjUI26vFwVnCr9nRa6sPfPUpY9iFRXxV6U6fTNWbnrtGOFWjNqJz+YWAT8J6qc/8O/BdwJmZ97Qrg9yJS32/HMmuMBdU2oqF5jg2ubZBgTzoqitLAI5twoRwQ7OncDF5xZ9t4OfAfGM2vLzrXA7wvavILjKDbhslm+09xjm+Jn9GRggnZaMA7aTydVkNrhGAgQ1j2cerU0ABzb9knGOhcw6gZ2TZC4N9U9YLo3AsxGWt3A69S1c8CfxNdu+DgLixziZGRfBRUW/+fihutodng2vrx90RraIkGHtmkS1gK8PdagTZTzsGEZnym6tzLouNNlRoC0draI5hAW8scJQjCKHVQfdueKnieix/1ZfOi1UewL0NYDswWpnqpmJxWoM2YpcBmVa3+q30RRmv744S2w5jdA5Y5SiWpYxjWlgdtIp7nEPghxWKZfL4c4wy7h2B/tmENzfFcQt94OTuVuAVaDlhceSEiyzCb0OFggXY8RqhZ5igm7bZZP6snBq1CJRbNVFK3ZmetmEwZ+cZNzoqGtj/bsZpy3ALtAeBkEXli9PrC6LhWVcdi0UTkQuAIbOX0Oc3wcB6/3JiHs4LnOaYC1LCtL1ArwXAe/JAQoJGtY5GGFhZ9wkwxrunNKeKOQ/seZg/nLSJyJ6Y2Z0hUUDjS2N4HvC06/92Yx7fEyPBYceE4BJobFUyxGlqthEM58AMcr0FN2XWMQPQDguF8R1aAiltD+wompfaRmPoBSeBWTBYOgOOAd0Tnv6aqVqDNYYYGc5T9AC/R+IZyz3Mp+yFDg1ZDq5VgKGfK1sXwxeJ4LvgBYYf+HmKvnA78g4i8FDgD2Aj8vKpCugI/Ba6LNrFb5jBDddTinArPcyiVfIZsSbuaqZicNOBpHsNzCf2wYzPXNmtz+m+B305yfgiwlZ7agCAw2lR8a2imivrg/hxhGDZkOnUb4WgBYtLQ8IzJGXZokHPTN6fPBiLSj1mbuwA4ERgFVgDXqOqv6+zzGcD/wSSjPBrjwX0QuAG4VlU7c1U1YnS0QKnkE4T15UGbSCJh9nPmciVy2ZLNulEDwUie0A9xYvg9VEzOTtXQ2j6HiIjMA24BPoQpZLwOU/fzJcBNIvKhOvr8P8BdwOsxsXUPYbLuPhP4HHCbiCyM5Q3MUfbvy1IuByRqLF03FeMl7QL2dXAcVDMI00UIAqijSM1BuA5hEBKmO1NDa3uBBnwJs0NhNXCSqp6lqicAbwTKwFUi8qKZdiYi5wFXYz6bz2CyhpyhqscBf4VJhXQOxgHSsVQEmtdI3NMEvIRLuRyw3wq0mghGCxDEtYbmgB8SdGjYRlsLNBE5CRPrFgBvUNWxSu2qeh3wqejlVTV0+15Mdt1fqOr7o3xulT7/CLwpenmBiDyugenPafbuzRgNLUaBlogE2r4O3nrTDMJs0TgF4khf7joQhGZdrgNpa4HGeH61u1T1wUmuXxsdzxOR42fY5wui4w1TXL8Zs0YHHVwoee9AhnLZb4pAG+jgbA/NIMwUCYMAJxaT04Ug6NjA2nYXaJUiLLdPdlFVtwObo5fPO1RnIuIC/wi8FfjzFM2qvyY7Mp9bxSwsl+LW0DzKpYC9AxmCoDO33jSDMFM0JmcMGprjOYR+SJjtzPoO7e7lPDk6PjJNm03ACcCph+osiqP7zSGavYzxTfXrpmvYruwdyFAq+WYPZoxVmjzPIQzNJvXB/VkOXzovtr47mSBGgVYxOe0a2tzkyOg4ME2bfdFxaaODich84LPRy/tU9aFG+5yL7N41Srnkk6ixQvehcByHRNKlVArYtatzs6bGSRiEhPly/Gto2c4UaHVraCLykRjGD1W15rCKKvqj43RBNZXQ9P5p2hwSEUkB/wsI4AOXN9LfXGbXrlFKpYBkA9lRpyKZ8CiVfHbvHOVJpx8de/+dRpgrGQEUxizQCuXG86vNQRoxOT+A2WBeL050fyMCzWfmWmbdcxWRPuBHwF9Hp96nqnfU299cZ9fOEUolvynBr4mkRz5XshraDAmzkbnpOGZzeaO4xuwnNMLSWdBZG9QbEWi3MbmQOIbx9aoHMfFhg5gaA08CnhFd+yPwaAPjgwl2XQL0TtOmLzrWFfwkIkcCP8ME1QJ8JEoj3pFkM0UG9+colQOSdRS0PRTJpMvoiM/egQyFQjmWfaKdTJgxGloswoyoWLTrGE9ntghWoBlU9fkTz4nIUZgtR9swcWEHeQpF5CnAjZjN640WSdmLEWiHT9Omsna2p9bOReQJwE3Acozw/r+qenWt/bQT27ePjO0QiNMhUMGL+i0VfXbuGGH5iYfFPkYnYTS0IB5zM8KpmJ0d6BiI24D+KEZDe9VkwgxAVddgUgstAT7e4HiVRfnl07SpXNtQS8ci8nzgzuj+PPDaThdmANu3DlEs+iRTzYtISaY8iiWfbVttwuJDYWLQYlo/q+Ca0I0gbQXaoXgFoKp633SNoiIp6zD1Bhrh7uh47mQXo4SSlYDaO2faqYg8D6OZLcZ4Sf9KVX/UwDzbhq1bhykWy6SaYG5WSCU9ikWfbVuGmjZGpxCMFuJLHVTBamgzZiHTexyrcYBGDfgfRsfni4hMcv2y6Hirqm6aSYciciJmzawPYzqfp6p3NTjPtiA9WmDf3gzlUtB0Da1U9Nm9O00u15kBnnERpgvxbUyvUEny2IEb1OMWaJuA00XkhOkaicgZGAfBxkYGU9WNwPcxEfs/FpFKoG2lbsH7o5cfm2QOJ4nIaSJyzIRLXwcWYcI9Xq6q2sgc24nNmwcpFX28RHPWzyp4novnuRSLZbZutlradATpQmypgypU1tCCDtzPGbeL6X8xG8F/IiKvmkwrioTZT6iqNdAg7wKeHP2sF5G1mPW5ilC9UlX/MMl9N0dtvgNcHM3tbExGDTBe0S9PrviN8fF6863NRTY9up9C0acn1XzPYyplzM7HHtvPqacd0fTx2pVwOB8ld4zxC6ZSLKUDc6LF/Zf7OeB1wFOBDSLyZ0wlqDTGHD0TE/7gYvZfXjtFPzNGVfeJyLmYLBmvBZ4AlDC1DD6vqj+uobvq/Z6HA+cdov1Rtcx1LlMuB2zZPESxUGbhoumiYOIh1ZMgPZpn82P7CYKwqRphOzOWfjvOJQDPgVJA0IEFa+KuKTAsIi8BvoFZ8H8B8PyqJpW/2huAt6tqLAsoqprBaIZX1XDP8knO/RfwX3HMqd3YtnWIbLZIGBLrhvSpSCZNNfV0usjOHSMct2xR08dsRyoFUtw40m9X8FzIlwk6sL5D7LZFlJPsJSLydIzXUzAm4D5MkZQbVfWBuMe1NMajD++jUPDp6fFmJd+/4zj0pBIUCmUeeXifFWhTEOxrvGL6RJyESxAVHO40mrZYoqr3Avc2q39LfARByMMb91HIl5k/f/Zy/ff0JshmimzcMMCzn3uiNTsnEBZ9o0XFLNDGKqjvzXRcwZqm2hYislREni0ir4heO1HGCsscYtvWIdKjBYKgueEaE0mlPMplU3x4t93beRDB/qwJr4B4A2srToFC2TgdOoimCDQReaGI3AXsxizO/zS6tBzYJiIfE5HO+Vpoc/ShAfL5Ej09iVn9tnYch56eBIV8GX2o5p1pHY+/a4SwFODEncbJdUyWjXKA32FfJLELNBH5F0xNznMwToDKD8DjMN7Of2PqFNeWWaRU8nl4417y+TI9vclZH7+nN0E+X2aDDuD7wayPP5fxd45CyYdm7NpIeoRFH3/HSPx9t5BYBZqInAlcgyla8hlMbFh1lP29wH9g0v68RkTeEOf4ltp59OF9ZKItMMnk7OfGSqU8giBkdLTApscGZ338uYy/fZiw6OM0QaA5SY+w5ONv76z9tHH/Bb8n6vPdqnpFtGdz7GtXVXOq+nHg7Rit7ZKYx7fUyIPrdpPLlejtTbZkcdhxHHp7E+RyZR58YNesjz+X8R/bD0U/3hi0Cj0eFH38zZ31JRK3QHsesB/48iHafQOTNvupMY9vqYHh4TybNw1SyJfp7WtdXrLeviSFfInHHt1PpgMzQNRDGISUNw8SFss4PU3Q0FIJwkKZ8qb9JuFjhxC3QDsCeFRVp/2EouubGC82YmkB69buopAvk0x6eHEGbtZIImH2duZyJR5cZ7U0AH/HMGG2SOiHzVlDS3mE5YBgMNdR8Whx/xUPMZ6u51AcF7W3tADfD1i3dhfZXInevtl3Bkykry9JLldi7ZpdtsQdUF6/hzBXxultjufZcR2clEeYL1Ne3zke5rgF2n3AkSIybZ6zKC7t2Ki9pQU8snEfI8N5Aj+kpwkmTa309CYolwMG92fZ9Nj+Vk+n5ZQe2kOYL+H0Nm8pwOlNEOZLlDooZCZugfZVzGL/16OsGgchIi8EvoXJtvGtmMe3zJDVq3aQzZXo62uNM2AijuPQ15skly1x/6odrZ5OSwnDkPK63YT5clMFGr1JwnyZUgc5Y2IVaKr6M0x+suOBlVEqn9MBROR/RWQd8DtMJotfdksW2LnG7l2jbN823HJnwET6+pPk82U2bxpk395Mq6fTMvwtQ/i7RwmLPjQxNtDpS0C+jL91CH9PumnjzCbNWAl+E/BpoIhJ4rgIo7X9Aya1T4BJG/TaJoxtmQErV2wnlzM7A1rpDJiI57mkUh65XIlVK7e3ejoto7hyO2G2hNOXjK3a02Q4ngu9CcJsieKKbU0bZzZpRrYNH/g3EbkaU8fydIxQy2CybdykqlviHtcyM0ZH8mzQAXLZIosW9x36hlmmvz/F8Eiehx7cw7POW96U2qBzndK9WwmzRZz+5jtrnP4kYbZI8d6t9P31aU0fr9k0M9vGHkw2WMscYtXKHeSyJRIJryl1NxslkXTxXIdspsjqVTt41rOXt3pKs4q/e5SS7iHMlXCXzmv6eM68FMHgMKW1OwmGcrhz8EuuFppmb4iIKyJni8iFIvKO6FwyKkJiaQH5fIkH1uwkmynSNwvf/vXgOA79/SmymRJrVu+gWPRbPaVZpXD7Y4TpIvQkzAbyJuMkPROTli5SuGNT08drNs3KtnEJJnD2boyW9rno0gmY1NzXi0jz8zxbDuD+VTtIjxZxHIfULKYJqpVUj0dIyOhIgbX372z1dGaNMAgp3PooQbqAM4sVzZ35PYTpAoU/PdL2uwaakW3jE5jKScswoRnlqsvLMBWaXgf8RkTmjoutwykWfVav3EEmU6R/3twI1ZiKipaWyRRZuWIb5XJ3ZOEord2Jv2WQsFDGmcW1Q2d+ijBXovzwXsob987auM0g7mwbLwCuwFRM+mdM6u17KtdV9U/ARRgHwXOAt8Y5vmVq1t6/k5GRPGEY0tMz979HensT+EHI8GC+azat53+jBMN53AU9TfVuTsTxXLOWNpIn/9v2rtoYt4b2LoxWdqmqfkVVD8oep6rfwwg1B7Dpg2aBctln5X3byKSL9M9LzWntrILR0pJkMkXuu2dbx+dK83eNUrxvK+FoAWfh7K/GOAt7CUcKFO/Y1NZ7O+MWaOcCu1T1h9M1igJwd2Di1CxNZu2aXQwN5QiCkN5mRp7HTF9fknI5YP/+LA+t293q6TSV3M/WEQ7loTeB04L1Tac3AUmPYDBL7pcPzvr4cRG3QFsCzDQicjvQ3j7iNqBc9llxz7Zo7aw9tLMKjuPQPy9JJl3k3g7W0vx9GQp/fJhguLVhE+6SXoKhPPnfbWjbqupxC7R9wOMP1SiqJ3Ai0N4rkG3AA2t2MTiYxffbSzurUNHS9u3NsP7BztlEXU3upw8QDGYh4eG0MvNJXxJch2BvhtzP17VuHg0Qt0C7E1giIhccot2bgKUcmJ7bEjPlss+992wlkykyr820swrVWto9d2/tOC3N3z1K/rcbCAZzuIe11mBxHAd3SR/BYI78rx5qy7W0uAXa5zGL/V8SkfMnXoyCbd8MfAnjPLg25vEtVay9fxdDgzmCNtXOKlRraQ922Fpa9gerCQezkGqxdlahPwme0dKyP1zT6tnUTNzZNm7DFEdZAvxERIaApwGIyD2Y9NxfxaydfU1V/xDn+JZxSkWf++7Z2laezak4YC3tL1s7Ji6ttHGvCaQdzOEe1t/q6QCRlnZYv9HS/rCB8pb2qjkQe2Ctql6BiUEbwJSs68VobWdHr0eAK1T1srjHtoyz5v6dbenZnIpqj+e6te0flxYGIZlv3mPWzualcOZQbKDTl4TeBMG+LJlv3dtWuweasvVJVb+CqcH5AuCdwAeAdwN/Axynqp9pxrgWQ7Hoc9+9W0l3gHZWwXEc5s1LkU4XuPfurZTL7b3Hs3DrIyaJ42hhzmhn1biH9xOO5Cmt2k7xL+2THKeZ2TZKmKrptzZrDMvkrF65neEhsyugE7SzCr19CbLZIoODWdbcv5Oznras1VOqiyBdIHv9Svx9GZwlfbOyCb1WnKSHs6iXYG+WzLfvJfXUY+fGGt8haNpfu4gcDbwSOBVYDOwB1gG/mGwHgSUe8vkSK6JdAe3q2ZwKs5aWIpM2uwdOf/Ixc3qT/VRkv7sCf9sw+AHOormbo8FZ3EewbRh/yxDZG1Yx79JntHpKhyR2gSYiCzCOgbcwbtI6GK8mQEFEPgl8UlXLk3RhaYCV921ndNgERbbDns1a6e1NkM0UGR7Mcf+q7Tz9nJkWGZsblNbtIv+HDQT7s7hHz5/TXziO6+AunUewJ03uVw+Res7jSZ6ytNXTmpa4N6f3AL/CbDr3MCmEfg58Lzq/DeMkuApbICV2stkiq1duJ50pdJx2VmF8La3Iinu3kc+3z3diWCiT/u+7CPZmcealcJpYLyAunP4k9CeNg+C/7zR1DuYwcRvvbwOejTEvX6qqJ6nq36vqRap6vqqeAJyP2VHwehH5h5jH72pW3ruN0dGCyXc2B0rTNYueaF1wZKTAqhXtU3sge8Mqyo/uM+XpWhxEWwvu4f2EmSKlDQPkfjy3Y9PiFmgXY0zLv1PV30/WQFV/iSmQ4mDCOywxkEmblNWduHY2kYqWlkkXWLXSFHyZ65Qe2k3uFw8SDGRwj5hnCpS0CY7n4kSmZ/bGtZQf3dfqKU1J3J/qycB6Vb17ukZRXrSNwKS1Oy21c+89JkzDded2Ntq4MBqow+hInhX3zu2KRWGuRPpLdxLszeD0J3H626/wizs/ZWLTBjKkv3jHnDU94xZoRQ7MUDsdaZroZe0mRkdNqupMpsi8+Z2tnVVwHId5843H8/5VO8hmiq2e0pRkrl9J+ZF9hLkSzuFzL+ZsprhL5xnTUwfI/s/qVk9nUuIWaH8GniQiT56ukYgsA54M3B7z+F3JvXebDeie58zJSk7NIpXycFyHdLrAfXNUSyvev4P8rx8i2JvBPWJ+W5maE3E8F/eIeQQDaXI/fYDSQ3NvX23cn+4VmPTaPxWR0ydrICJHAj8CfOCDMY/fdYwM51m3NtLO5vV0hXZWYXwtrcia1aZewlwiSBdIf+kOgoEMzvzUrNTZbDbOvBT0JSPT807CObZ+GbfJ91LgRoxzYJWI3IKpKbAfmIcpOvxyoB+zhna5iEzsI1TVN8U8r46lsgE9EVUd7zZSKQ/XdchEYRzPff4h0/HNGpmv34O/eYiw6OMeOb/V04kN9/B+gm3DlB/dR+a7K5j/tme2ekpjxC3QrmE8gNYDXgy8qOp6tfpwavRTIWQ8ANcKtBkwMpxn3QO7yGRKLJzDEefNpKKljY4WWLN6B097+jLmzYFq64U7HqPwp0cI9mVwj1k4q0VPmo3jubhHzifYnSb/m/Wkzl5Gao5sQ4tboH2XcYFmaTL33buNTKZEItGd2lmFZJWWtvK+bTznea3V0oKhHOmv3Y0/kMZZ1Gvy9XcYTl8SZ37KmJ7/fReLrz4fdxZriU5FrJ+0ql4cZ3+WqUmPFli3dheZTJGFLagSNJeo7PFMjxZYs3onZz/jcfS1aCN1GIakr72LYPsIBCHOkvYJoK0V57B+gu3D+FuHyHzjHhZc/pxWT6k56YMszWfliu1jns1u1s4qVHs8W7l7oPCnRyjetZlgMIt75LyOdtI4roN7xHyCfRkKf3qEwl2bWz2l2YkDE5GnAoJJ+vgXVW2/ZOVziFyuxNr7d5LNFJk/B9T8uYDjOMyLqq3fv3oHZz99GalZ3pwf7DcJEf2BNM7iPpxU55maE3F6EziLevEH0mS+fjfJJx2F20KLoWENTUQOF5EPi8ivRWTJhGvHisgdwArg+8Dvgc0i8k+NjtvNrFlttjg5jtXOqkn1eISEpEcKrF0zu1ltwzAk/bW/EOwchRCcxd2zDOAs6QM/wN82RObb97V0Lg0JNBE5E3gQk5H2JcBRVdf6MMkdn4nxXpaAQeBw4FoReW8jY3cr5bLP/at2kMkW6Z+X7GiTplZMtXWjpa1etX1WK0QV79w0bmoe0dmm5kQcp2J6Zin88WGKK1oX5Fy3QBORXuCnwBEYU/JrmHizCv8OnBT9/wZgqaouBV6GqSvwERE5pd7xu5X1D+5hZLhAGIQdme+sUXp7E/h+yND+HA9vmJ2yr0GmGJmaGePV7MLfi9ObwFnYQ7A3Q+Yb9xDmWxNw24iG9mZM3YC7gNNV9TJV3QNjhYQrZuUe4FJVTQOo6u+AfwV6gEsbGL/rCMOQ1St3kM0W6eu32tlkOI5DX3+SbLbEqpWz4xzI/mAV/rYRKAc4Lax83mqcJf2EhTLlTfvJ/nhtS+bQiEB7OSbm7FJVnfhV+HTgyOj6dao6sa7894ECRluzzJDt20bYsydNsejT2wbJAVtFX1+SQqHMzh2j7N7V3Gzv5Uf2kf+1mgDaI+Z1VABtrYxluN2bIf/TdZS3Dc36HBoRaKcDW1RVJ7n2gqr//3bixUjAbQTaK39yi1m7Zie5XIne3gRuFz84h8J1HXp6EuRyJdbcv7Np44RhSOY79xHsy0Bfsi2KiDQbZ14KehL4+zJkv7ti1sdvRKAdAUz111KJsCsBd0zRJofZ32mZAfl8iUc27iWfK9NrH5xD0tuXJJ8rsVEHKDYpd1fpvm2U1uwwpejaOC1Q3LiH9RMO5yneu5XimuZ9oUxGI6uXeeCgTXMi4mLScIfAvaqan+L+ozjQiWCZhg3rB8hlS7iuQ6LBsmfp9OybArUyf/7ihu5PJs1nlMkUeXjjXp74pKMOcUdthOWAzHUrCPZljSNgDpaiaxVOysNZ0EOwP0v2uhUkP/3yWTPFGxFo24GTRMRR1er9m+dhKqSHmLizgxCREzDm5uzrpG3KBh0gny/T25do2BnwgavOj2lWzeOa/7ytofsdxzFaWr7MRh2IXaAVbn+M8mP7CfPljsqkERfOkj78LUOUNwxQvGcLPc88YVbGbeRr5RaM4Pq7CeerPZc/neLeyzEC748NjN81pEcLbN82QqFQtqEaNdDTk6BQKLN502CsdQfCICT347WEQzmcxb1d7QiYCsdzcRf1EgzmyN24ljCcnZwVjTwdXwPeDnxHRJZi8p69AngjRljdrqoHlYgRkTcC74ja/KCB8av77AfeB1wAnAiMYrS/a1T11zGNcUPU/ymq+nAcfc6Uxx7bT6FQJpFw8do44+lsk0i4eK47JtROe8KRsfRbvGsT/qZBwnzJamfT4CzqJdgyRHnjAKVV20md1fwUQ3U/Haq6Fvg4MB+4FlgJfASzKyCNKWk3hoj8m4jcjanH6QHfVdWV9Y5f1e88jLb4IeDxmOrsGczOhZtE5EMxjHEZRpi1hE2PDVIslGd9b2InkOrxKBZ8Nj0a33Jt/qb1BEM5nIVWO5sOx3NNsO1QnvxN62dlzIaeEFX9kIhsAq7ECBMwXs13qurEd3AJpioUmBTcb21k6q2GngAAIABJREFU7Cq+BJwDrAbOV9WtACJyEfBN4CoRuUNV/1BP5yJyOfDZmOZaM0EQsn3bMMWiz8JF8Xg3P3bVz2Pppx1IpRKkRwts2zZMGIYNrz+WNw1SemgPYbaI+7jGHBfdgLOwl2DbMMVV2/F3j+IdtaCp4zX8la+q3wK+JSKLgZKqZqZoegtwJ3B9vcJlIiJyEnAhEABvqAizaF7XicipmH2mVwE1jSkixwBfAF4dx1zrZXB/lly2SBCEDXs3KzTqQWwnkkmXsh+QHi0wPJxncYOR/Pk/bCAczUN/0no2Z4CT9KA3QThaIP+7Dcy76GlNHS+234iqDk0jzIi2Rl0clzCLuAhjvt6lqg9Ocv3a6HieiMw4iFdE/h4T+PtqzIb6f2l0ovWye1eaUikgkfTsVqc6cBwT5lIq+ezZnW6or9APKN6xiWC0gLuge7JpNIqzoJdgtEDxjk1Ndw60+1fMudFx0nJ4qrodqGSde14N/Z6BKeTyPeCJwE31TrBR9u/LUC4HsWln3Ugi4VIuB+zf11gavvL6PQT7s+CH0GfXM2eK058kLPn4u0fxH2lu1fV2f0oqa3KPTNNmU3Q8dZo2E7kNOENVL1TV2U2sNYGhoTy+H+B5Vjurl4Tn4pcDhoZyDfVTvHsLQaZoqp9bbXnGOK6D05ckzBQp3rv10Dc0QLt/zVT88APTtKl8JSydaaeqekvdM4qZTLpI4Id4qXb/7mkdrutQKoVk0o3V7Syt3UWYLcWWvHFvYSSWfprJ0p6FsfTjzEsRposU1+yk/3VnxtLnZLS7QKtsoJtqexWYPaPVbduKfL5EEIR2M3oDuK5DEITk8+W6+wgyRcpbh6BQjq2K0xN+8c5Y+mkmA//wnVj6cXoTBHsz+I/tJyz6OE3KtNzuX/u17Dpuy/J6fhBN28qz+onMwyCo/0+gvGGAsFCGhItjg5trJ+GC4xDmSpQfaV7izXb/zVTcVtPZABU/fVsWZgnDkLA9ZfGcIoSGPGz+lkEolqHH1nCoB8dxoCdBWCjjb2lecoR2F2gVUX/4NG0qa2d7mjyXptDTk8B1nFnbC9eJhGGI6zj0NFCFyd+dJiwFJq7KUhdO0iUsB/h7GgufmY52X0N7CDgFWD5Nm8q1Dc2eTDPo7U2OrQFZ6iMIQhzXobeBUItgTxrKPsSYi+6hV34htr7agqQLBd98lk2i3QXa3cD5jMejHYCILGM8K+6dszWpOFm0uBfPc/HLVqDVi18OSHgOixrYJRAM5wnLIW6M8YBxeRDbBs8Fv0wwPJ0PrzHa3eT8YXR8vojIJNcvi463quqm2ZlSvBx+eH8UGNqcrKvdQNk3gcmHHVa/QAuLZQjDMQeDpXacaOkkLNbvbT4UbS3QVHUjpuCKB/xYRCqBtojIhcD7o5cfm3iviJwkIqdFezbnLEcfs5BkyqNUCuw6Wh2EYUip6JNMeRx9bAMaUdG3Aq1RXAeCEArN+3Jud5MT4F3Ak6Of9SKyFlgCVFJkXjnF/tGbozbfAS6ehXnWxVFHz6c3insqlwOSdlG6JsqlANd16OtPsXSpLWHR6bS1hgagqvswa2gfxiz8PwHj9bwVeLWqfqKF02sYz3M5/oQl9PSa7KuW2sgXyvT0Jlh+4pKGgpOdvuS4hmGpizAIwXVw+ptX5KcTNDSiLB9XRT8zvWd5DW030cLQ1lNPO4L1D+1hZDjPvHkpu49whoRhSCFfZvGSXkSOaKgvpz+F4zqEQWhjnOsl8jY3s9xf22to3cCJjz+MBQt6cBynaSXZOpFCoYznOSxc1Mvxy5c01JezsCfy0gUxza4LKQfguTgLm5d6yQq0NiCZ9Dj9KUfT358kmyla58AMCMOQbLZEf3+SM556bMO1GLxjFkLSg5L9Qqmbko+T9PCObl7WWivQ2oQznnos8+anCILQamkzoFjwCcOQ+Qt6OP0pRzfcn3f0ApyER1iyGlq9hOUAkq4VaBaYv6CHp0RCLZO2Wtp0hGFIOlNg/vweznzacfT3H1QPu2a84xbh9HhmP6elZsIwNJlKUgm8JtZisAKtjXj6OY9j4aJeHAfyOftgTUWlwvzixb2cdXY8pdMSjz8MehIQhEbTsNRGKQDHeDi9461AswB9fUnOe/ZyFizsIZ0p4NsF6oPw/YBMtsiCBb08+7mPj60ws9ObJHHCEpMxIh9f0eJuIcyXcHoTJE5Z2tT0S1agtRmnP+UYjlu2iL7eJKOjBWt6VhGGISMjBfr7khx/wmJOe2I8hYUrJE870oQcWO24ZsJcGac3SfK0eH8nE7ECrc1w/397Zx4n2VXd9+97tb2q6u6qXmfp0UzP0nO7e/ZFoxlp0Iyk2TcxEiJoQQgjE3Asxwn5GBITthgrYMcmYNnEsWMRiCIUApbFYsACC4MjkAXCiOWCQJsFGDRLb1XVtb38cV/N1PT0Ut1de5/v51OfV6/eu/edqnr1q3PPPfde2+Lg4fXE4g65XH5Bs7A2G8lkBtd1icXDHDy8vuyz/Aa292JHArgJiWHOBdd1IZnGigYIbOut6LVE0BqQzq4oe67pIxZzGBubICsxHTKZHOPjaWJtDq/Yt5p4+8LW35yKwIalWC0hM1uk9DSXTioLto3dHsG/fmEJzrMhgtagbNvRy9p1nbREg4wMpxa1x5DPu4wMp2htCdE/0M2mLZWZb8AK+ghsXX5hwQ+hNNzxNFY0SGB7L1aF18YQQWtQbNvi0BFFV3cLPr/FyMjijKeZuFmKQNBH95IWDh7ur+jQsNDe1VitIdyxxfl5zxXXdXHH0tgtIUJ7V1f8eiJoDUwkGuTYyUHi8TC5bJ5kYvH1viXGzapY7e1hjp8cxHEqN04QILhjBXY8DFimKSXMTDIDPgu7K0JgU+Vn6hJBa3CW97ax//q1xOIOiUR6Uc3IkUplSSYzxGMO1x/oZ0kFM9ALWCE/oT2rsFpD5EcnKn69Ric/MoHdGiJ4TR9WGWf7nQ4RtCZg05ZlbN22nLaYw+hIalHMbpvJ5BgdTRGLO2y/cgVDG5dU7dqhA/3YbSEYT+NKLuC0uNk8JDJYrQ7OwfVVuaYIWhNgWRb7rl/LmrWdRFtCnD+fauqk21wuz/D5FK2tIfrXd/GKfWuqen1/fxf+dV1Y4QCueGnT4o6kTGfA0BL8Kxc220mpiKA1CT6fzfFTgyxf3obj+Blu0p7PfN5l+HyKcCRA74oYR48PVH1VecuycA6tx4o5uCPN+TkvFDfv4o5MYMUcnMNTLfdRGUTQmgjHCXDq9Aa6uqL4fFbTpXO4rknP8Pttunui3Hh6A8EyDW2aK6Fr1+DraQHbxh2XFI7JuGMTEPDhW95GcM+q2QuUCRG0JiPeHubU6Q10dETI513GmiRfynVdM9QL6OiMcOr0BlorOFHgbFghP85hhR1zcM831x/HQnFdF3c4hR13CB8frEpnQAERtCZk2fI2Dh9VxOJh0hNZEonGF7VEIkM2k6O93eHYiQGWLKl8j+ZsOIcVdkcEcq6M7yzCHTfpQ3ZXlNAN/VW9tghak9Kvurl2/xri7WES42kmGjhnKpXMkExkiMXDXHfDOlav7ay1SQDY8TDOwfXY7Q7588lam1MXuK6Lez6JHQ8TPjaAHV34XHRzQQStidm+s5dtO3qJxcOMjqbINOD00el0jtGxCeLtDrt2r2Tz1uW1NukSnFND2O0RyORwk4svsfkyEhnIu9hdUZxjg1W/vAhaE2NZFvuuW8t61U1ra4jhBkvnyGbzjAwnaWtzGBxawtV7+2pt0mX4Ok2zyo6HyZ9NLupYmuu65M8lsdvDpjlegxinCFqTY9sWR44PsGJlnEgkwPD5FPkGWFvSpGckiUaDrOpr59DR8k8HVC7CN200sbRsblHH0txxzzvrbiF844aa2CCCtggIBn2ceuUGupe04PfbjNR57lQhPSMY9LFkaSsnbxzC76/fFeN9nVHjkbRHyJ9N1PVnWylc18U9l8DuiBA+PlAT7wxE0BYNLa0hTt44RHtHGDfvMl7H6Rxjo+kL6RknX7mBSJUDy/MhfHojdnfUrDkwvvhiae5YGiwLu6cF58RQzewQQVtELFnayiEvnSM1kSVVh3PjJ5MZ0uks8bjDkeMDdHVHa21SSdjxMOETQ9gdEdxF5qW5eRf3rPHOIjdtxG4J1cwWEbRFxnrVza7dVxCLOYyOTpCto57PTCbH2NgEsbjD1Xv7WFMn6Rml4pwawresFWxrUY3xdEdSZlTAihjO0YGa2iKCtgjZc00f6/q7aGkJMTxcH50EF2adbQ2hBnrYueuKWps0Z+xIkPDNm7E7o7hnk7h18LlWGjeXxz2fxNcZIfLqLVjB2gxFKyCCtgixbYvDxxQ9PVECAV/NV48qzDobDPpYurSVg0fqt0dzNpxD6/Gvasdy/LiLINnWPZ/ECgfxr+sidN26WpsjgrZYCYcDHD0xSCzukM3marp6VDKZIZ9zibeHOXpysGxradYCK+Ajcvs2E0sbTjX1osRuJoc7MmFiZ6/dUfH1AkpBBG0Rs2x5G1fvre3qUdlsjsR4mraYw959a+jpaam6DeUmuGfVhRWi3LOJWptTMfJnE1htDoHtvQTqZASHCNoiZ/vOFfSt7iAaCTJa5fy0wsLA0WiQdf2dbNla+Tnnq4FlWURetwO7I4w7nsZtwmnR3VQGklns9jDRO3dWdGGauSCCtsgpXrgYTPOvWiQSGSwL4h0RDhxaXzc/inIQUD2E9q7Bbg+TP9NcaRyu65I/kzBDnA704++rzmy0pSCCJtAWc7h2/xpa2xzGx9NVGe+ZzeZJJNK0tTnsv34t0Zb6T56dK5E7tmN3RsGbW79ZcMfSZohTTwuR12yttTmXIIImALBh01JW9bUTDgcYrXAOleu6jI1OEIkEWbO2EzVQ2dW0a4XPy5q3OyJN46VdSKLtjBI+vcnMNFJHiKAJgIn7XH9gHW2tIXLZfEWXw5uYyJHL52lrC3HdDWubqqk5mfBNG/H1toHPxh1O1dqcBeMOp7CCfvwr44RPVn96oNkQQRMu0NEZYduOXlpaQoxVaGVw13UZH5ugtSXEzl1XEIuHy36NesKOBIm8Ziu+rgjuuWRDL3vnZk0Srd0ZIXLH9pon0U6FCJpwCVfuXkm8I4xtWRXJTUsmM/h8Nh2dEXbsXFH2+uuR0PX9+Nd3Y0WDuOcaN9nWPZvAag0R2LiU4NV9tTZnSkTQhEsIhfxctXslLa0hxsfSZfXS8nmXxHialpYgu69ZRSBYv1MClRPLtoi+bqdJth2dwE3Xz/jZUnEnsrjjaez2CJG76idNYzIiaMJlbNi0lM7OCH6/XdY0jmQyQyDgo3tJC4ND1VvpvB4IbFpGcPdKrJhJ42gkLqZpRAjtW0Ogv347cUTQhMvw+212XnUF0ZYgifFMWbw013VJJtJEW4Ls2r2yYcdqLoToa3did4YhncVtoDQON5GBbN7Ezm7bVmtzZkQETZiSwaEltHeE8fnLE0tLJjP4/T46u6KsV/X7D19JfMvbCB8d9NI4xhsijcN1XdwzCezOCOFXbsDXXd9D00TQhCnx+222buslEgmSTCzMSzPeWYZINMD2Hb2L0jsrEL5lM/bSVrAaY840dzgFfhvf8hjhGzfW2pxZEUETpmXDpqW0tARxXXdBS+Cl0zksy6K1NbToYmeTsVtCRF7VGHOmXTLX2Wu2YoUDtTZpVkTQhGlxHD8DQ0sIRwIkF7CaUTKZIRwJMLRx6aLp2ZwJ57DC31f/c6a555JYkSD+/m5C19d+rrNSEEETZmTT5qU4ToD0RHZeM9vmcnky6RyO42fT5qUVsLDxsAI+M86zjudMczM53NHCXGfb62Kus1IQQRNmpLunhWXLWgkGffNaVGUilSUU8tO7IkZ7R32N+6slwatWEtjozZl2rv7SOApznQW39xLc2ltrc0pGBE2YFTXUgxMOzKu3M5XK4oT9DG5Y3LGzyViWReROb860sTRuun7mTHNT2QtznUVeu6PW5swJETRhVpTqxnH85LJ5stm86cov4ZHJ5Mjn84TDAdb1d9X6bdQdAdVDcPcqk2x7tn5iafmzCey4Q2j/Wvx9HbU2Z07U3+hSoe6IRIOsuCLO8PkUZ+eY5R4O+1nV147jyK02FZHbtpF+4kVyz53DTWWwnNr2JLqJDGRy2J1xIv+ivuY6KwW5y4SS2Lx1GS/90/CcOwZs22LTluaYWrsS+FfEca5fR/JTT5M/m8Re5q/ZOEnXdY131h7BOazwNeD6DiJoQkms6+/izfdcTX6O09/YPhu/XyIbMxF+9RYmHvsJ+fNJSGYhUhsvzR3PmJlou6OET9d/Eu1UiKAJJeP32yDiVHZ8nVGcw4rEg08ZDyncVnUvzXVd3HMJ7I4I4ROD2A06T53cnYJQB4RPb8TuikDercn6A+5YGrCwe1pwTm6o+vXLhQiaINQBdjyMc3TQrBJ1Lln15QTdc0nsjjDhU0PY0cZdsEYETRDqhPDJIeyuaNW9NHcsDbbnnR0dqNp1K0FTxNCUUhHgt4DXAKuBUeBJ4ANa68/Ns86VwDuAI0AP8EvgUeBerfX3y2G3IBRjxxycIwMkXn6S/LkkdiRQ8Via67pmnYCOCOGTG7AjjeudQRN4aEqpKPAl4J3AGuC7wDhwCPisUuqd86hTAd8E3gC0AN8GHOC1wDeVUofLY70gXEr4pFn2jrwLVVj02R0317C7ojhHVMWvV2kaXtCA+4CrgKeAtVrr7VrrVcCdQBZ4l1LqQKmVKaX8wKeBTuCjwDKt9ZXAMuCPMML2oFKqs7xvQxA8L+3geuy4Q/58ZZe9u+CdxcOEjw00dOysQEMLmlJqLXAHkAdu11q/WDimtf4o8J+93XfNodo7gHXAC8DdWuukV18a+A3g74A48G8War8gTIVzasikTaRzuPOYEKBkklmTd9YZwTlWf2tszoeGFjRME9AH/D+t9femOP5hb3uNFxMrhbu87Uc9EbuA1toF/pu3e+scbRWEkvB1RgntW4sVq6yXlh9OGo/whn7sNqdi16kmjS5oe7ztV6c6qLV+CXje2903W2VKKRvYNVOdwNe87Rql1BUl2ikIc8I5OWREJpnBXcBswdPhTmRhIocVc3BODJW9/lrR6IJWmEbzxzOc85y3XV9Cfb1AIUV6ujpfBAp3WCl1CsKc8V8RJ7hzBVZryMzrX2bc4RRWW4jQnr6GHLM5HY0uaD3e9pcznHPG25Yyf01P0fMp69Ra54DhOdQpCPPCOT6IHXPIj06Ude0BN5c3iwa3OTgnmiN2VqDRBa0wBepMf2GFiaZKmS61+Jxy1SkI8yKweRm+vg5sJ1DWFaLckQmzVoDqxt9k89Q1uqDNJbhQyl/cXIMV9btkj9DwWJZF+MgAVszBHUmVbcFndySF1ebgHB2o2VRFlaLRBW3M287URVOIiZUyM+FY0fNy1SkI8yZ47Wrs9rBJTCrDgs8kM2aYU1eE0J6+hddXZzT60KeXgXZMEux0FHzqX5RYX4FO4PzkE7zE29gc6hSEeWNHgoT2rib381HyZxJYC5z5101mTOxs/1qsJlxSsNE9tMKYyr4Zzikc++FslWmtf8rFgP90dV6ByX0rqU5BWCjOgX7sthBWNAg+e0EPqyWE1RIidKC/1m+rIjS6h/Z14BQX89EuQSm1Aigk1P59iXV+Azjo1fnoFMev9rbPewIoCBXFv66L1rfsI/fCZQ2GeeFb3YF/RbwsddUbjS5o/wd4L7BfKaW01nrS8Td528e01s+VWOdDGEF7vVLq/ZNHCxTVef887BWEeRG6ZjVcU2sr6p+GbnJqrX8EPIBpAn5SKXVhvXql1B3AW73d35lcVim1Vik1oJSavILHxzBJtWuAB5RSrd75QaXUB4G9mGbph8r9fgRBWBiN7qGBGTC+yXv8QCn1HUxHwSrv+G9rrf9minKPeud8hIvjN9Fap5RStwJfBG4GDiulfoARuA4gDZzWWp+5rEZBEGpKQ3toAJ6w7AHejQnSD2J6KB8DbtZa/+486nwC2AL8Oaancwum4/z/Aldprb9cHusFQSgnVjXnLhcuRSn13XXr1g195jOfqbUpglBPzDvbt+E9NEEQhAIiaIIgNA0iaIIgNA0iaIIgNA0iaIIgNA0iaIIgNA0iaIIgNA2Sh1ZDlFIjwWCwdeXKUhekEoTm55lnnnlEa31qPmWbYehTI5NIp9M888wzL85+qiAIsyEemiAITYPE0ARBaBpE0ARBaBpE0ARBaBpE0ARBaBpE0ARBaBpE0ARBaBpE0ARBaBpE0ARBaBpE0ARBaBpE0ARBaBpE0ARBaBpE0ARBaBpE0ARBaBpE0ARBaBpkPrQyo5TqA56d5rALnANeAD4H/KHW+pdVMq1sKKXuAv4CeElrvaLo9b8F9gHv1Vq/vTbWzYxS6n7gdcBjWuv9pR4rsw39wNuAg8BS4CzwOHCf1vqLM5TrBN4O3AiswNxLXwPer7V+fI427Ae+7O2u1lo/N8v591OFz2ahiIdWWZ7G3HCFxzeAl4GNwL8HvqeU2lQ784Rqo5Q6DHwb+BWgE/gekMOI1BeUUr83TbklwNeB3wSWAP+I+YM8DXxVKfUrlbe+/hFBqyz3aK33Fj12a60V5l/5M0AX8AmlVLN8D3cCg8AHam1IPaKU6gL+NxAGHgSWa623aq17gdsxwvbvlFI3T1H848Ba4IvACq31TmA5xtPzAR9WSg1W4W3UNc3yQ2ootNZnMO77BLAeOFRbi8qD1voFrfUPtNYv19qWOuVuoB14DrhLaz1cOKC1fgD4797um4oLec3DfcAYcJvW+pxXJq+1fh/wMSAA/HaF7a97RNBqhCdqT3u7G2tpi1A1nsV4aH+stZ6Y4vg/ettVk16/y9s+PM2fxYe97SuVUuEFW9nASKdAbQl429HJB5RSfuBW4NXAdky8JQv8FPgS8Ada6x9OUe4w8K+A3RhvYBgjnA8Bf6a1Tk9Rpg3418BNwDrMH91PgE9iOi7Ol/JmpuoUKOok+WdgGSZ29EZgyCv2NPCnwP1a68sWuCiXbfWA1vrjmKbjdOz0tj+a9Poeb/vVacp9A3NvRL06/m6+Ns6FSR0Ls/F6rfX9lbPGIB5ajVBKrcV4ZnngrycdCwNfAP4ncAJIA9/B9Ib1A/8S+KZSatukcr/h1XUSyABPYcRyH3Af8HmllG9SmQFMkPo9wCaMYP4IGADeATzlnbNQLOAjwJ9hmtk/xPwIdwP/A7h3coEq2lZTlFJxpdQ7gddjPpP3FR2zgTXe7o+nKq+1zgAvebvrK2jqZIa5tNNr8uNnRee+UA2DxEOrIp6YxIGrgd/H/KG8V2v9/KRT3wpch+kRPaa1fqKojiuBhzHezn8AbvFej3Pxh3Cr1vrBojKHgL8E9nvnP+i9HgUeAfq8On9Na/1T79hSjPgcB/5KKbVFa51cwNvvAW7DeFv3aa1zSikHEze6A3iLUuq/FNJYqmxbTfCC/+/GeJ4h4EXgzVrrrxSd1s7F3+lMKT5nME3VrgqYOiVa628Be6c6ppQaAv7e232P1vpL1bBJBK2yfFkpNdPx9wH/cYrXD2A8t3cXixmA1voJpdSfcNFrKaAAB5Ob9PFJZb6glLoX2Izx9grcjfkxfRO4WWudKyrzc6XULcD3MV7hXcCfzPRmSuCPtdYfLLpGSin1m5gePj+wC9P7WwvbasEuYEPRfjtwQin1Fa11IQwRKTqemqGugqBHZjhnOp6d5T6dE16KyWeBGCbU8a6yVT4L0uSsLJPz0B4Hvovp3QT4t8AHJzcDtdZ7MeL0YaYm4W2Lb95nMc2VduB+pdSWSXX+J631LVrrTxa9fNrbPlgsGEVlksAnvN2T073JOfDIFNc4w0XPI15D22rBh4AWTPrFXRhRehPwJS+GCiaVYy7MZ6Hdf2DmpuPXgF+UUpFSKoL5nldhYnuvmyo2WinEQ6ss92it/3byi0qpIOYG/iPg1zF5RL9WfI7WOqOUaldK7cbERdZ4222YxEoo+kPSWv9CKfU+TNf9ncCdSqmfA49i4nGfnaKHrNC7+qtKqRuneQ9LvW05YlUvTfN6wbsovh+rbVvV0Vr/k/d0HPiIUupxTNxzJ6YZfj8mVaOAM0N1hd7NxAznTMctcxgpMNM5NvAAcCWm+Xyj1nomr7LsiKDVAK+n8U+VUssw7vgblVL3aq1fBFBKtQL/FXNTB4qKpjFNsG8BR6ao9+1KqScxInkt5gd/u/fIKqUeBH69KP8p5m37vcdMxGc5XgqX9bBOwip6Xm3bao7WWiulPomJNe7noqBNYGJsnTMUL8TOSvKkKsQfYEY8jAOntNY/r7YBImi15WGMoPkwnteLRa9fh/FcPsTFpuqPPM/tV5lC0AC01p8CPuWlO+zD/DCOYbyYOzBCcco7fdzbP6m1/nSZ39tCqWfb5oVSqgNYDTw/Q/JxoYNoKZjkWaWUxsQ/+6apN4BptoLpPa46Sql7MB0+eeB2rfVTtbBDBK225IueWwBeE/M677XjWuup8nxWTH7BS/XoByyt9be11iOYWMYjmB7Et2FSI04qpWKel6a5GJieUjS8gdQxzI+wmgPp69m2+fIEJnTwVuD905xTSKotbp5/HSNoe4A/n6LMLsxvOYXx3quKUuokF4e7vU1r/XC1bSggnQK15bi3dYEnveeri44/ySS8oOut3m7xH9IbMTlbH1NKWZPLYcYAFih0QhSC9HdPlWHuBaYfxvwQf3/6t1ER6tm2+fIFb3u351VdgpeEXOgMKe5Aecjbvsrz8ibzZm/78WqnryildmBGP9jAX2itpxxcXy1E0GqAUspSSt3ExbF3nygKEP+g6NR3FN/4Xm7P57gYUyru5XwIE6PaCPyhl8dVKNcFvNfb/brW+qz3/D5M8uM6TD7XyqIy3V6dg1691RaNerZtvvweJozQDzzgfS8AeEnSn8cE97+CEesCj2Ih/JYEAAAB/klEQVR6GmPAX3ppESilbKXUb2FipBmKEnKrgfedPIIZofB5TMJ3TZEmZ2X5kFJqeNJrAUwspMfbf5KL/7Borb+llHoIM+TpLcBdSqlnMQHhgvf2RcxcWq1KqTat9YjW+mfeFDIfw8Qy3qCU+jHmO16L6SF7GXhD0bXOKaVOYW7KA5h8pO9hmsIKE4jOYhJ1v1OOD6RU6tm2+aK1/olS6tWYPMFXYZr/GvPdFDL8H8fk3blF5Vyl1J3AY8ArgOeVUk8DvZhYm4sZWvT96r0bwPTSL/OeW5g/nggXWwDFfEtrfU+lDRIPrbJsBK6Z9NiM6bX6NGaoy24vF6uY2zBNyCcw39EWzA/4EeCE1voQF4eSXMjB0lr/L0wnwCeA85jxkqsww4XuBQa11t8tvpDW+h88O9+DGRzdh/F8/hkz9GrHpNy1qlHPts0Xr4NjC2b86s8w72cJZpzmm4Brp+ow0Fr/BNNx9AFMfG0TRgj/GrjB++6rTVvR80OYjqprufyev4ZLk8ArhuW6Vct5EwRBqCjioQmC0DSIoAmC0DSIoAmC0DSIoAmC0DSIoAmC0DSIoAmC0DSIoAmC0DSIoAmC0DSIoAmC0DSIoAmC0DSIoAmC0DSIoAmC0DSIoAmC0DSIoAmC0DSIoAmC0DSIoAmC0DSIoAmC0DSIoAmC0DT8f3iMhfTltgv7AAAAAElFTkSuQmCC
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<h1 id="inihibitory-cells">inihibitory cells<a class="anchor-link" href="#inihibitory-cells">¶</a></h1>
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<div class="prompt input_prompt">In [35]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">stim_action</span> <span class="o">=</span> <span class="n">actions</span><span class="p">[</span><span class="s1">'stimulus-response'</span><span class="p">]</span>
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<span class="n">stim_results</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">stim_action</span><span class="o">.</span><span class="n">data_path</span><span class="p">(</span><span class="s1">'results'</span><span class="p">))</span>
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<span class="c1"># stim_results has old unit id's but correct on (action, unit_name, channel_group)</span>
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<span class="n">stim_results</span> <span class="o">=</span> <span class="n">stim_results</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s1">'unit_id'</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
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<span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">stim_results</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">'left'</span><span class="p">)</span>
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<span class="n">waveform_action</span> <span class="o">=</span> <span class="n">actions</span><span class="p">[</span><span class="s1">'waveform-analysis'</span><span class="p">]</span>
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<span class="n">waveform_results</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">waveform_action</span><span class="o">.</span><span class="n">data_path</span><span class="p">(</span><span class="s1">'results'</span><span class="p">))</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s1">'template'</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
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<span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">waveform_results</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">'left'</span><span class="p">)</span>
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<span class="n">data</span><span class="o">.</span><span class="n">bs</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">bs</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">bool</span><span class="p">)</span>
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<span class="n">data</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">data</span><span class="o">.</span><span class="n">eval</span><span class="p">(</span><span class="s1">'not t_i_peak.isnull() and not bs'</span><span class="p">),</span> <span class="s1">'ns_inhibited'</span><span class="p">]</span> <span class="o">=</span> <span class="kc">True</span>
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<span class="n">data</span><span class="o">.</span><span class="n">ns_inhibited</span><span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="kc">False</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<span class="n">data</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">data</span><span class="o">.</span><span class="n">eval</span><span class="p">(</span><span class="s1">'t_i_peak.isnull() and not bs'</span><span class="p">),</span> <span class="s1">'ns_not_inhibited'</span><span class="p">]</span> <span class="o">=</span> <span class="kc">True</span>
|
||
<span class="n">data</span><span class="o">.</span><span class="n">ns_not_inhibited</span><span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="kc">False</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
|
||
|
||
<span class="c1"># make baseline for inhibited vs not inhibited</span>
|
||
<span class="n">data</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">data</span><span class="o">.</span><span class="n">unit_id</span><span class="o">.</span><span class="n">isin</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">'ns_inhibited'</span><span class="p">)</span><span class="o">.</span><span class="n">unit_id</span><span class="o">.</span><span class="n">values</span><span class="p">),</span> <span class="s1">'ns_inhibited'</span><span class="p">]</span> <span class="o">=</span> <span class="kc">True</span>
|
||
<span class="n">data</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">data</span><span class="o">.</span><span class="n">unit_id</span><span class="o">.</span><span class="n">isin</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">'ns_not_inhibited'</span><span class="p">)</span><span class="o">.</span><span class="n">unit_id</span><span class="o">.</span><span class="n">values</span><span class="p">),</span> <span class="s1">'ns_not_inhibited'</span><span class="p">]</span> <span class="o">=</span> <span class="kc">True</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
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|
||
<div class="output_wrapper">
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<div class="output">
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<div class="output_area">
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<div class="prompt"></div>
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<div class="output_subarea output_text output_error">
|
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<pre>
|
||
<span class="ansi-red-fg">---------------------------------------------------------------------------</span>
|
||
<span class="ansi-red-fg">TypeError</span> Traceback (most recent call last)
|
||
<span class="ansi-green-fg"><ipython-input-35-d562b46ecc21></span> in <span class="ansi-cyan-fg"><module></span>
|
||
<span class="ansi-green-intense-fg ansi-bold"> 13</span> data<span class="ansi-blue-fg">.</span>bs <span class="ansi-blue-fg">=</span> data<span class="ansi-blue-fg">.</span>bs<span class="ansi-blue-fg">.</span>astype<span class="ansi-blue-fg">(</span>bool<span class="ansi-blue-fg">)</span>
|
||
<span class="ansi-green-intense-fg ansi-bold"> 14</span>
|
||
<span class="ansi-green-fg">---> 15</span><span class="ansi-red-fg"> </span>data<span class="ansi-blue-fg">.</span>loc<span class="ansi-blue-fg">[</span>data<span class="ansi-blue-fg">.</span>eval<span class="ansi-blue-fg">(</span><span class="ansi-blue-fg">'not t_i_peak.isnull() and not bs'</span><span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">,</span> <span class="ansi-blue-fg">'ns_inhibited'</span><span class="ansi-blue-fg">]</span> <span class="ansi-blue-fg">=</span> <span class="ansi-green-fg">True</span>
|
||
<span class="ansi-green-intense-fg ansi-bold"> 16</span> data<span class="ansi-blue-fg">.</span>ns_inhibited<span class="ansi-blue-fg">.</span>fillna<span class="ansi-blue-fg">(</span><span class="ansi-green-fg">False</span><span class="ansi-blue-fg">,</span> inplace<span class="ansi-blue-fg">=</span><span class="ansi-green-fg">True</span><span class="ansi-blue-fg">)</span>
|
||
<span class="ansi-green-intense-fg ansi-bold"> 17</span>
|
||
|
||
<span class="ansi-green-fg">~/.virtualenvs/expipe/lib/python3.6/site-packages/pandas/core/frame.py</span> in <span class="ansi-cyan-fg">eval</span><span class="ansi-blue-fg">(self, expr, inplace, **kwargs)</span>
|
||
<span class="ansi-green-intense-fg ansi-bold"> 3313</span> kwargs<span class="ansi-blue-fg">[</span><span class="ansi-blue-fg">"target"</span><span class="ansi-blue-fg">]</span> <span class="ansi-blue-fg">=</span> self
|
||
<span class="ansi-green-intense-fg ansi-bold"> 3314</span> kwargs<span class="ansi-blue-fg">[</span><span class="ansi-blue-fg">"resolvers"</span><span class="ansi-blue-fg">]</span> <span class="ansi-blue-fg">=</span> kwargs<span class="ansi-blue-fg">.</span>get<span class="ansi-blue-fg">(</span><span class="ansi-blue-fg">"resolvers"</span><span class="ansi-blue-fg">,</span> <span class="ansi-blue-fg">(</span><span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">)</span> <span class="ansi-blue-fg">+</span> tuple<span class="ansi-blue-fg">(</span>resolvers<span class="ansi-blue-fg">)</span>
|
||
<span class="ansi-green-fg">-> 3315</span><span class="ansi-red-fg"> </span><span class="ansi-green-fg">return</span> _eval<span class="ansi-blue-fg">(</span>expr<span class="ansi-blue-fg">,</span> inplace<span class="ansi-blue-fg">=</span>inplace<span class="ansi-blue-fg">,</span> <span class="ansi-blue-fg">**</span>kwargs<span class="ansi-blue-fg">)</span>
|
||
<span class="ansi-green-intense-fg ansi-bold"> 3316</span>
|
||
<span class="ansi-green-intense-fg ansi-bold"> 3317</span> <span class="ansi-green-fg">def</span> select_dtypes<span class="ansi-blue-fg">(</span>self<span class="ansi-blue-fg">,</span> include<span class="ansi-blue-fg">=</span><span class="ansi-green-fg">None</span><span class="ansi-blue-fg">,</span> exclude<span class="ansi-blue-fg">=</span><span class="ansi-green-fg">None</span><span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">:</span>
|
||
|
||
<span class="ansi-green-fg">~/.virtualenvs/expipe/lib/python3.6/site-packages/pandas/core/computation/eval.py</span> in <span class="ansi-cyan-fg">eval</span><span class="ansi-blue-fg">(expr, parser, engine, truediv, local_dict, global_dict, resolvers, level, target, inplace)</span>
|
||
<span class="ansi-green-intense-fg ansi-bold"> 325</span> eng <span class="ansi-blue-fg">=</span> _engines<span class="ansi-blue-fg">[</span>engine<span class="ansi-blue-fg">]</span>
|
||
<span class="ansi-green-intense-fg ansi-bold"> 326</span> eng_inst <span class="ansi-blue-fg">=</span> eng<span class="ansi-blue-fg">(</span>parsed_expr<span class="ansi-blue-fg">)</span>
|
||
<span class="ansi-green-fg">--> 327</span><span class="ansi-red-fg"> </span>ret <span class="ansi-blue-fg">=</span> eng_inst<span class="ansi-blue-fg">.</span>evaluate<span class="ansi-blue-fg">(</span><span class="ansi-blue-fg">)</span>
|
||
<span class="ansi-green-intense-fg ansi-bold"> 328</span>
|
||
<span class="ansi-green-intense-fg ansi-bold"> 329</span> <span class="ansi-green-fg">if</span> parsed_expr<span class="ansi-blue-fg">.</span>assigner <span class="ansi-green-fg">is</span> <span class="ansi-green-fg">None</span><span class="ansi-blue-fg">:</span>
|
||
|
||
<span class="ansi-green-fg">~/.virtualenvs/expipe/lib/python3.6/site-packages/pandas/core/computation/engines.py</span> in <span class="ansi-cyan-fg">evaluate</span><span class="ansi-blue-fg">(self)</span>
|
||
<span class="ansi-green-intense-fg ansi-bold"> 68</span>
|
||
<span class="ansi-green-intense-fg ansi-bold"> 69</span> <span class="ansi-red-fg"># make sure no names in resolvers and locals/globals clash</span>
|
||
<span class="ansi-green-fg">---> 70</span><span class="ansi-red-fg"> </span>res <span class="ansi-blue-fg">=</span> self<span class="ansi-blue-fg">.</span>_evaluate<span class="ansi-blue-fg">(</span><span class="ansi-blue-fg">)</span>
|
||
<span class="ansi-green-intense-fg ansi-bold"> 71</span> return _reconstruct_object(
|
||
<span class="ansi-green-intense-fg ansi-bold"> 72</span> self<span class="ansi-blue-fg">.</span>result_type<span class="ansi-blue-fg">,</span> res<span class="ansi-blue-fg">,</span> self<span class="ansi-blue-fg">.</span>aligned_axes<span class="ansi-blue-fg">,</span> self<span class="ansi-blue-fg">.</span>expr<span class="ansi-blue-fg">.</span>terms<span class="ansi-blue-fg">.</span>return_type
|
||
|
||
<span class="ansi-green-fg">~/.virtualenvs/expipe/lib/python3.6/site-packages/pandas/core/computation/engines.py</span> in <span class="ansi-cyan-fg">_evaluate</span><span class="ansi-blue-fg">(self)</span>
|
||
<span class="ansi-green-intense-fg ansi-bold"> 116</span> scope <span class="ansi-blue-fg">=</span> env<span class="ansi-blue-fg">.</span>full_scope
|
||
<span class="ansi-green-intense-fg ansi-bold"> 117</span> truediv <span class="ansi-blue-fg">=</span> scope<span class="ansi-blue-fg">[</span><span class="ansi-blue-fg">"truediv"</span><span class="ansi-blue-fg">]</span>
|
||
<span class="ansi-green-fg">--> 118</span><span class="ansi-red-fg"> </span>_check_ne_builtin_clash<span class="ansi-blue-fg">(</span>self<span class="ansi-blue-fg">.</span>expr<span class="ansi-blue-fg">)</span>
|
||
<span class="ansi-green-intense-fg ansi-bold"> 119</span> <span class="ansi-green-fg">return</span> ne<span class="ansi-blue-fg">.</span>evaluate<span class="ansi-blue-fg">(</span>s<span class="ansi-blue-fg">,</span> local_dict<span class="ansi-blue-fg">=</span>scope<span class="ansi-blue-fg">,</span> truediv<span class="ansi-blue-fg">=</span>truediv<span class="ansi-blue-fg">)</span>
|
||
<span class="ansi-green-intense-fg ansi-bold"> 120</span> <span class="ansi-green-fg">except</span> KeyError <span class="ansi-green-fg">as</span> e<span class="ansi-blue-fg">:</span>
|
||
|
||
<span class="ansi-green-fg">~/.virtualenvs/expipe/lib/python3.6/site-packages/pandas/core/computation/engines.py</span> in <span class="ansi-cyan-fg">_check_ne_builtin_clash</span><span class="ansi-blue-fg">(expr)</span>
|
||
<span class="ansi-green-intense-fg ansi-bold"> 25</span> Terms can contain
|
||
<span class="ansi-green-intense-fg ansi-bold"> 26</span> """
|
||
<span class="ansi-green-fg">---> 27</span><span class="ansi-red-fg"> </span>names <span class="ansi-blue-fg">=</span> expr<span class="ansi-blue-fg">.</span>names
|
||
<span class="ansi-green-intense-fg ansi-bold"> 28</span> overlap <span class="ansi-blue-fg">=</span> names <span class="ansi-blue-fg">&</span> _ne_builtins
|
||
<span class="ansi-green-intense-fg ansi-bold"> 29</span>
|
||
|
||
<span class="ansi-green-fg">~/.virtualenvs/expipe/lib/python3.6/site-packages/pandas/core/computation/expr.py</span> in <span class="ansi-cyan-fg">names</span><span class="ansi-blue-fg">(self)</span>
|
||
<span class="ansi-green-intense-fg ansi-bold"> 852</span> <span class="ansi-green-fg">if</span> is_term<span class="ansi-blue-fg">(</span>self<span class="ansi-blue-fg">.</span>terms<span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">:</span>
|
||
<span class="ansi-green-intense-fg ansi-bold"> 853</span> <span class="ansi-green-fg">return</span> frozenset<span class="ansi-blue-fg">(</span><span class="ansi-blue-fg">[</span>self<span class="ansi-blue-fg">.</span>terms<span class="ansi-blue-fg">.</span>name<span class="ansi-blue-fg">]</span><span class="ansi-blue-fg">)</span>
|
||
<span class="ansi-green-fg">--> 854</span><span class="ansi-red-fg"> </span><span class="ansi-green-fg">return</span> frozenset<span class="ansi-blue-fg">(</span>term<span class="ansi-blue-fg">.</span>name <span class="ansi-green-fg">for</span> term <span class="ansi-green-fg">in</span> com<span class="ansi-blue-fg">.</span>flatten<span class="ansi-blue-fg">(</span>self<span class="ansi-blue-fg">.</span>terms<span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">)</span>
|
||
<span class="ansi-green-intense-fg ansi-bold"> 855</span>
|
||
<span class="ansi-green-intense-fg ansi-bold"> 856</span>
|
||
|
||
<span class="ansi-red-fg">TypeError</span>: unhashable type: 'numpy.ndarray'</pre>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [ ]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">baseline</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">'ns_inhibited and baseline and i'</span><span class="p">)[</span><span class="s1">'speed_score'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
|
||
<span class="n">stimulated</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">'ns_inhibited and stimulated'</span><span class="p">)[</span><span class="s1">'speed_score'</span><span class="p">]</span><span class="o">.</span><span class="n">to_numpy</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">violinplot</span><span class="p">(</span><span class="n">baseline</span><span class="p">,</span> <span class="n">stimulated</span><span class="p">,</span> <span class="n">xticks</span><span class="o">=</span><span class="n">label</span><span class="p">[</span><span class="s1">''</span><span class="p">],</span> <span class="n">colors</span><span class="o">=</span><span class="n">colors</span><span class="p">[</span><span class="s1">''</span><span class="p">])</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"Speed score"</span><span class="p">)</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">"Speed score"</span><span class="p">)</span>
|
||
<span class="c1"># plt.ylim(-0.1, 0.5)</span>
|
||
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"speed_score_ns_inhibited.svg"</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
|
||
<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">output_path</span> <span class="o">/</span> <span class="s2">"figures"</span> <span class="o">/</span> <span class="n">f</span><span class="s2">"speed_score_ns_inhibited.png"</span><span class="p">,</span> <span class="n">dpi</span><span class="o">=</span><span class="mi">600</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">"tight"</span><span class="p">)</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
|
||
</div><div class="inner_cell">
|
||
<div class="text_cell_render border-box-sizing rendered_html">
|
||
<h1 id="Register-in-Expipe">Register in Expipe<a class="anchor-link" href="#Register-in-Expipe">¶</a></h1>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [ ]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">action</span> <span class="o">=</span> <span class="n">project</span><span class="o">.</span><span class="n">require_action</span><span class="p">(</span><span class="s2">"comparisons-gridcells"</span><span class="p">)</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [ ]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">copy_tree</span><span class="p">(</span><span class="n">output_path</span><span class="p">,</span> <span class="nb">str</span><span class="p">(</span><span class="n">action</span><span class="o">.</span><span class="n">data_path</span><span class="p">()))</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [ ]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">septum_mec</span><span class="o">.</span><span class="n">analysis</span><span class="o">.</span><span class="n">registration</span><span class="o">.</span><span class="n">store_notebook</span><span class="p">(</span><span class="n">action</span><span class="p">,</span> <span class="s2">"20_comparisons_gridcells.ipynb"</span><span class="p">)</span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [ ]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span>
|
||
</pre></div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</body>
|
||
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|
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||
|
||
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